The study highlights the advantages telemedicine offers, such as increased flexibility, reduced commuting time, and better time management. It also examines the challenges doctors face, including the demands of always being digitally accessible, the learning curve of new technologies, and the difficulty in maintaining boundaries between personal and professional life. Using both quantitative and qualitative data, this research compares the telemedicine adaptation experiences of doctors in public versus private hospitals, considering factors such as hospital infrastructure, support systems, (...) and patient load. (shrink)

The rapid adoption of telemedicine has transformed healthcare delivery, especially during the COVID-19 pandemic. This digital shift has enabled medical professionals to offer consultations and manage patients remotely, ensuring continuity of care while reducing exposure risks. However, the integration of telemedicine has presented both opportunities and challenges for doctors, particularly in terms of their work-life balance. This paper explores the digital adaptation of doctors in public and private hospitals concerning telemedicine practices and its impact on their work-life harmony. The study (...) highlights the advantages telemedicine offers, such as increased flexibility, reduced commuting time, and better time management. It also examines the challenges doctors face, including the demands of always being digitally accessible, the learning curve of new technologies, and the difficulty in maintaining boundaries between personal and professional life. Using both quantitative and qualitative data, this research compares the telemedicine adaptation experiences of doctors in public versus private hospitals, considering factors such as hospital infrastructure, support systems, and patient load. (shrink)

The rapid adoption of telemedicine has transformed healthcare delivery, especially during the COVID-19 pandemic. This digital shift has enabled medical professionals to offer consultations and manage patients remotely, ensuring continuity of care while reducing exposure risks. However, the integration of telemedicine has presented both opportunities and challenges for doctors, particularly in terms of their work-life balance. This paper explores the digital adaptation of doctors in public and private hospitals concerning telemedicine practices and its impact on their work-life harmony. The study (...) highlights the advantages telemedicine offers, such as increased flexibility, reduced commuting time, and better time management. It also examines the challenges doctors face, including the demands of always being digitally accessible, the learning curve of new technologies, and the difficulty in maintaining boundaries between personal and professional life. Using both quantitative and qualitative data, this research compares the telemedicine adaptation experiences of doctors in public versus private hospitals, considering factors such as hospital infrastructure, support systems, and patient load. (shrink)

The study highlights the advantages telemedicine offers, such as increased flexibility, reduced commuting time, and better time management. It also examines the challenges doctors face, including the demands of always being digitally accessible, the learning curve of new technologies, and the difficulty in maintaining boundaries between personal and professional life. Using both quantitative and qualitative data, this research compares the telemedicine adaptation experiences of doctors in public versus private hospitals, considering factors such as hospital infrastructure, support systems, (...) and patient load. (shrink)

Furthermore, the paper delves into the role of hospital management and policy in easing the digital transition and fostering a more harmonious work-life balance. By analyzing technological tools and frameworks in telemedicine, the research identifies areas where improvements can be made, offering recommendations for enhancing doctors' digital efficiency while promoting better work-life harmony. This study contributes to understanding how technology can be harnessed to benefit healthcare professionals, particularly in managing the dual demands of professional duties and personal well-being.

This paper explores the application of AI-driven HR analytics in shaping workforce agility, focusing on how real-time data collection, analysis, and modeling foster an adaptable workforce. It highlights the role of predictive analytics in forecasting workforce needs, identifying skill gaps, and optimizing talent deployment. Additionally, the paper discusses how AI enhances strategic decision-making by providing precise metrics and insights into employee behavior, productivity, and satisfaction. The integration of AI into HR systems ultimately shifts HR from a traditionally reactive to (...) a highly proactive, data-driven function. (shrink)

This study focuses on the step-to-step procedure in creating Facebook Social Learning Group (FBSLG) and the perception of students on using FBSLG as learning management tool. Descriptive method was employed in this study participated by two hundred eighty (280) teacher education students in Nueva Ecija University of Science and Technology – College of Education during the academic year 2020-2021 who were purposively selected based on the criteria set by the researcher. Five simple steps on creating FBSLG were discussed (...) by the researcher. Using the adapted survey questionnaire, the data revealed that the students strongly agreed on the four aspects of perception about FBSLG namely: pedagogical affordance, social affordance, technological affordance, and their overall perception on the platform. Some worries of the students on the platform were addressed like the safety of sharing ideas in the FBSLG and some technical difficulties were encountered. It is concluded that the FBSLG is a good platform of conducting classes during this time of pandemic, so the use of this platform to other subjects is highly recommended. (shrink)

Management decision-making is a daily task that managers of various levels solve in every organization. Degree of difficulty of this process depends on the scope of authority, responsibility level, manager’s position in organizational hierarchy; on the changes in the environment, unpredictability of which causes emergence of significant amounts of alternatives. For this reason, managers do not rely only on intuition or personal experience (which limited with selective perception, cognitive ability, ability to withstand stress and/or the presence of bias), but (...) use tools (methods) that have stood the test of time and practice; are based at the analysis of a significant amount of primary and secondary information; involve team-building to find the optimal option or to generate ideas. A significant amount of research papers are devoted to such methods, however, the author forms a synergetic approach which contains a detailed analysis of their correlation with the key factors of the competitiveness of enterprise, such as organizational culture and leadership. Existing decision-making practices, problems and style of management at the tourism enterprises are revealed from conducted survey (the first half of 2014) in tourism firms of Dnepropetrovsk and Zaporizhzhia regions of Ukraine, in which 729 tourism managers took part. The most popular decision-making practices in tourism branch were specified, among them are modeling and monitoring of previous results. The study proved the hypothesis of the author concerning strong connection of decision-making management and type of organizational culture. Moreover, 63% of managers were dissatisfied with low attention to organizational culture at their companies. The basis for future research and the synergetic matrix for decision-making management were worked out in the article which give preconditions for further studies and improvements in tourism management of Ukrainian enterprises. (shrink)

Emotion detection and management have emerged as pivotal areas in humancomputer interaction, offering potential applications in healthcare, entertainment, and customer service. This study explores the use of deep learning (DL) models to enhance emotion recognition accuracy and enable effective emotion regulation mechanisms. By leveraging large datasets of facial expressions, voice tones, and physiological signals, we train deep neural networks to recognize a wide array of emotions with high precision. The proposed system integrates emotion recognition with adaptive management strategies (...) that provide personalized feedback and interventions based on detected emotional states. Our approach surpasses traditional machine learning methods, demonstrating superior performance in real-time applications. We also explore the ethical implications and challenges associated with deploying such systems, particularly regarding privacy concerns and the potential for misuse. Through extensive experiments, our model achieved an average accuracy rate of 92%, highlighting its robustness across different environments and user demographics. This research not only contributes to the growing field of affective computing but also lays the groundwork for future developments in emotionally intelligent systems. (shrink)

Low back pain (LBP) carries a high risk of chronicization and disability, greatly impacting the overall demand for care and costs, and its treatment is at risk of scarce adherence. This work introduces a new scenario based on the use of a mobile health tool, the Dress-KINESIS, to support the traditional rehabilitation approach. The tool proposes targeted self-manageable exercise plans for improving pain and disability, but it also monitors their efficacy. Since LBP prevention is the key strategy, the tool (...) also collects real-patient syndromic information, shares valid educational messages and fosters self-determined motivation to exercise. Our analysis is based on a comparison of the performance of the traditional rehabilitation process for non-specific LBP patients and some different scenarios, designed by including the Dress-KINESIS’s support in the original process. The results of the simulations show that the integrated approach leads to a better capacity for taking on patients while maintaining the same physiotherapists’ effort and costs, and it decreases healthcare costs during the two years following LBP onset. These findings suggest that the healthcare system should shift the paradigm towards citizens’ participation and the digital support, with the aim of improving its efficiency and citizens’ quality of life. (shrink)

Australia is a leading AI nation with strong allies and partnerships. Australia has prioritised the development of robotics, AI, and autonomous systems to develop sovereign capability for the military. Australia commits to Article 36 reviews of all new means and method of warfare to ensure weapons and weapons systems are operated within acceptable systems of control. Additionally, Australia has undergone significant reviews of the risks of AI to human rights and within intelligence organisations and has committed to producing ethics guidelines (...) and frameworks in Security and Defence. Australia is committed to OECD’s values-based principles for the responsible stewardship of trustworthy AI as well as adopting a set of National AI ethics principles. While Australia has not adopted an AI governance framework specifically for Defence; Defence Science has published ‘A Method for Ethical AI in Defence’ (MEAID) technical report which includes a framework and pragmatic tools for managing ethical and legal risks for military applications of AI. (shrink)

This paper investigates strategic planning to understand managers’ perception of its benefits to Non- Profit Organisations (NPOs). The investigation was preceded by a review and repertoire of theoretical evidence of NPOs integration of strategic planning in support of management function: a management tool designed for and used mainly by businesses. The study was based on the application of quantitative data collection and analysis to understand respondents’ perceptions. The paper found considerable increase and popularity in the usage of (...) strategic planning by NPOs having learned about its benefits from prior working experience in businesses. Even though, there is an increase in NPOs’ usage of strategic planning because of envisaged benefit, other NPOs’ Managers simply do not have enough time, skills and resources to deploy them in their respective NPOs. With limited and competitive funding, the use of strategic planning becomes competitive imperatives for NPOs seeking to attract the much-needed funds to support and promote their operations in South Africa. (shrink)

The aim of this paper is to evaluate the critical success factors and investigate the benefits that might be gained once implementing Electronic Customer Relationship Management at HEI from employee perspective. The study conducted at Al Quds Open University in Palestine and data collected from (300) employee through a questionnaire which consist of four variables. A number of statistical tools were intended for hypotheses testing and data analysis, including Spearman correlation coefficient for Validity, reliability correlation using Cronbach’s alpha, (...) and Frequency and Descriptive analysis. The overall findings of the current study show that all the features were important for staff and it was critical success factors, at the same time, websites were providing all the features discussed by the theory whereas staff showed their willingness to use those features if provided. It is also discovered that implementing Electronic Customer Relationship Management can cause staff retention, were provided efficiently and needed to be improved. Research limitations: The survey findings were based on QOU employee in Palestine, UAE and KSA branches not included in the study. (shrink)

Generally, it is common knowledge that humans have the same time, 24 hours a day, seven days a week, 31 days a month, 365 days per year, but most of them do not know how to manage time and manage it to be something useful and effectively. That is because many people do not have the discipline in filling time. Those days are filled with things that are not directed, even worse is that filling the time (...) of his or her life with things that damage life. Even though wasting time is not unwise because it is a waste of the opportunity God has given and the time that has passed will not return, meaning that if the opportunity is not used, then the opportunity will be lost. How important is to redeem the time, especially for contemporary Christian leaders because all must be accountable to God. This study uses a research library. Library research is a literature study that is carried out by using relevant and available reading sources related to the topics discussed in the research. Books or journal articles related to the topics discussed are used as sources of reading to better understand time management and its application at the personal and organisational levels. From the various reading sources used, the writer develops this scientific article, including giving comments or critical comments that are conveyed in various parts of the writing, especially in the conclusions. (shrink)

Humans and artificial intelligences (AI) will increasingly participate digitally and physically in conflicts yet there is a lack of trusted communications across agents and platforms. For example, humans in disasters and conflict already use messaging and social media to share information, however, international humanitarian relief organisations treat this information as unverifiable and untrustworthy. AI may reduce the ‘fog-of-war’ and improve outcomes, however current AI implementations are often brittle, have a narrow scope of application and wide ethical risks. Meanwhile, human error (...) causes significant civilian harms even by combatants committed to complying with international humanitarian law. AI offers an opportunity to help reduce the tragedy of war and better deliver humanitarian aid to those who need it. However, to be successful, these systems must be trusted by humans and their information systems, overcoming flawed information flows in conflict and disaster zones that continue to be marked by intermittent communications, poor situation awareness, mistrust and human errors. In this paper, we consider the integration of a communications protocol (the ‘Whiteflag protocol’), distributed ledger technology, and information fusion with artificial intelligence (AI), to improve conflict communications called “Protected Assurance Understanding Situation & Entities” PAUSE. Such a trusted human-AI communication network could provide accountable information exchange regarding protected entities, critical infrastructure; humanitarian signals and status updates for humans and machines in conflicts. Trust-based information fusion provides resource-efficient use of diverse data sources to increase the reliability of reports. AI can be used to catch human mistakes and complement human decision making, while human judgment can direct and override AI recommendations. We examine several case studies for the integration of these technologies into a trusted human-AI network for humanitarian benefit including mapping a conflict zone with civilians and combatants in real time, preparation to avoid incidents and using the network to manage misinformation. (shrink)

In January 2024, non-consensual deepfakes came to public attention with the spread of AI generated sexually abusive images of Taylor Swift. Although this brought new found energy to the debate on what some call non-consensual synthetic intimate images (i.e. images that use technology such as AI or photoshop to make sexual images of a person without their consent), female celebrities like Swift have had deepfakes like these made of them for years. In 2017, a Reddit user named “deepfakes” posted several (...) videos in which he had used opensource machine learning tools to swap the faces of female celebrities on to the faces of female porn actors, displaying what appeared to be live video footage of the celebrity engaging in sex acts she never engaged in. Since that time, deepfake technology has advanced astronomically. What once were choppy sexualized videos are now nearly flawless videos that can be difficult to distinguish from a real video. According to recent research on deepfakes by Sensity AI, this technology has been used primarily on women to create sexual videos. These women’s sexual autonomy has been co-opted for the purposed of gratifying men’s sexual pleasure, but have also been used in campaigns to delegitimize and humiliate female journalists and politicians. In Canada, civil and criminal legislation has addressed the non-consensual distribution of intimate images, but in only a few provinces – British Columbia, New Brunswick, Prince Edward Island and Saskatchewan – does this offence include altered images that could include deepfakes. This paper explores the evolution of synthetic technology such as AI image generators and Canada’s legal responses to the non-consensual sharing of intimate images. (shrink)

The field of AI ethics during the current and previous decade is receiving an increasing amount of attention from all involved stakeholders: the public, science, philosophy, religious organizations, enterprises, governments, and various organizations. However, this field currently lacks consensus on scope, ethico-philosophical foundations, or common methodology. This thesis aims to contribute towards filling this gap by providing an answer to the two main research questions: first, what theory can explain moral scenarios in which AI entities are participants?; and second, what (...) theory can explain the process of moral reasoning, decision and action, for AI entities in virtual, simulated and real-life moral scenarios? This thesis answers these two research questions with its two main contributions to the field of AI ethics, a substantial and a methodological contribution. The substantial contribution is a coherent and novel theory named Ethics of Systems Framework, as well as a possible inception of a new field of study: ethics of systems. The methodological contribution is the creation of its main methodological tool, the Ethics of Systems Interface. The second part of the research effort was focused on testing and demonstrating the capacities of the Ethics of Systems Framework and Interface in modeling and managing moral scenarios in which AI and other entities participate. Further work can focus on building on top of the foundations of the Framework provided here, increasing the scope of moral theories and simulated scenarios, improving the level of detail and parameters to reflect real-life situations, and field-testing the Framework on actual AI systems. (shrink)

The Salivaomics Knowledge Base (SKB) is designed to serve as a computational infrastructure that can permit global exploration and utilization of data and information relevant to salivaomics. SKB is created by aligning (1) the saliva biomarker discovery and validation resources at UCLA with (2) the ontology resources developed by the OBO (Open Biomedical Ontologies) Foundry, including a new Saliva Ontology (SALO). We define the Saliva Ontology (SALO; http://www.skb.ucla.edu/SALO/) as a consensus-based controlled vocabulary of terms and relations dedicated to the (...) salivaomics domain and to saliva-related diagnostics following the principles of the OBO (Open Biomedical Ontologies) Foundry. The Saliva Ontology is an ongoing exploratory initiative. The ontology will be used to facilitate salivaomics data retrieval and integration across multiple fields of research together with data analysis and data mining. The ontology will be tested through its ability to serve the annotation ('tagging') of a representative corpus of salivaomics research literature that is to be incorporated into the SKB. Background Saliva (oral fluid) is an emerging biofluid for non-invasive diagnostics used in the detection of human diseases. The need to advance saliva research is strongly emphasized by the National Institute of Dental and Craniofacial Research (NIDCR), and is included in the NIDCR's 2004- 2009 expert panel long-term research agenda [1]. The ability to monitor health status, disease onset, progression, recurrence and treatment outcome through noninvasive means is highly important to advancing health care management. Saliva is a perfect medium to be explored for personalized individual medicine including diagnostics, offering a non-invasive, easy to obtain means for detecting and monitoring diseases. Saliva testing potentially allows the patient to collect their own saliva samples at home, yielding convenience for the patient and savings in health costs, and facilitating multiple sampling. Specimen collection is less objectionable to patients and easier in children and elderly individuals. Due to these advantages. (shrink)

This study was aimed at examining “practicum exercise and the attitudes of pre-service educational administrators in Cross River State.” Pre-administrators’ attitudes were assessed in the area of self-discipline, time management, and record keeping. Three null hypotheses formulated offered direction to the study. The study adopted a quasi-experimental research design. Pre-service administrators with practicum experience were the experimental group while those without practicum experience were the control group. Cluster and simple random sampling techniques were adopted in selecting 60 final (...) year students and 60 year three students or its equivalent out of a population of 220 final year and 208 year three students or its equivalent, from both NUC and CES programmes respectively. The instrument used for data collection was Practicum Exercise, Study Habits, and Record-Keeping Abilities Questionnaire (PESDTMARKAQ). Independent t-test was used to test the null hypotheses at .05 level of significance using Microsoft Excel 2013 Data analysis tool pack. The results of the study showed that practicum exercise had no effect on pre-service administrators’ self-discipline and record keeping attitudes; Practicum exercise was found to affect time management attitudes of pre-service educational administrators. Based on these findings, it was recommended among several others that; pre-service administrators with practicum experience should make efforts to develop the level of their self-discipline by enacting and obeying personal policies that are favorable to their academic growth and progress. Keywords:. (shrink)

Working in academia is challenging, even more so for those with limited resources and opportunities. Researchers around the world do not have equal working conditions. The paper presents the structure, operation method, and conceptual framework of the SM3D Portal's community coaching method, which is built to help Early Career Researchers (ECRs) and researchers in low-resource settings overcome the obstacle of inequality and start their career progress. The community coaching method is envisioned by three science philosophies (cost-effectiveness, transparency spirit, and proactive (...) attitude) and established and operated based on the Serendipity-Mindsponge-3D knowledge (SM3D) management framework (i.e., mindsponge thinking and Bayesian Mindsponge Framework analytics serve as the coaching program's foundational theory and analytical tools). The coaching method also embraces Open Science's values for lowering the cost of doing science and encouraging the trainees to be transparent, which is expected to facilitate the self-correcting mechanism of science through open data, open review, and open dialogue. Throughout the training process, members are central beneficiaries by gaining research knowledge and skills, acquiring publication as the training's product, and shifting their mindsets from “I can't do it” to “I can do it,” and at the same time transforming a mentee to be ready for a future mentor's role. The coaching method is thus one of the members, for the member, by the members. -/- • The paper provides the structure, operation method, and conceptual framework of the SM3D Portal's community coaching method, which is built to help Early Career Researchers (ECRs) and researchers in low-resource settings overcome the obstacle of inequality and start their career progress. • The paper presents three major science philosophies envisioning the establishment and operation of scholarly community coaching. • The paper employs the mindsponge theory and BMF analytics to construct a conceptual framework explaining how an environment is created to help shift members’ mindsets from “I can't do it” to “I can do it.”. (shrink)

The problem of building an effective system of interconnected and purposeful innovative changes in business management is solved in the article. The main purpose of the research is to improve the model of business excellence on the basis of interconnected and purposeful innovative changes in business management. Critical analysis of literature sources and approaches to solving the problem of building a perfect model of business emphasizes the diversity of applied methodological approaches and methods of management innovation. However, (...) in terms of business technologicalization, necessity to accelerate information exchange, development of innovation and, at the same time, development of new threats, the need on the basis of strategizing, intellectualization of management, partnership, compliance with the challenges of the external environment, communication efficiency, leadership transformation, balancing intermediate and final results, there is a need to transform business and management on the basis of strategizing, intellectualization of management, partnership interaction, compliance with the challenges of the external environment, communication efficiency, transformation of leadership, balancing intermediate and final results. Relevance of solving of this scientific issue is that the timely use of innovative tools and management methods in the implementation of strategic intentions and goals forms a high adaptability of companies to transformation processes occurring in their external and internal environment under the influence of digital technologies in business processes. The scientific-theoretical and methodological basis of the study were the following methods: abstract-logical and comparative analysis – to generalize theoretical approaches and confirm the practical importance of solving the problem of building a model of providing business excellence on the basis of interconnected and focused innovative changes in business management; system analysis and modelling – method of building a model of business excellence based on managerial innovation; system-analytical – method of balancing the interaction of the components providing business excellence; generalization – when drawing conclusions based on research results. The object of research is a system of interconnected and purposeful innovative changes in business management. The results of solving the problem of building a model of business excellence while balancing the interaction of the components of such provision and implementation of the process of digital transformation of the business model. The results of the research have practical value for business entities that seek to increase the effectiveness of interconnected and purposeful innovative changes in business management. (shrink)

For the modern model of the market there are inherent existence of both a set of possibilities and a large number of hazards that are waiting for economic agents and which are generated by the need to make decisions in the conditions of considerable uncertainty about the future. Liquidity risk is one of the central places in the system of bank risks, is closely related to solvency and financial stability, and therefore its management is an extremely important element of (...) financial management of the bank. This paper is devoted to the consideration of theoretical approaches to the management of bank liquidity risks, as well as understanding the risk of unbalanced liquidity and its place in the system of bank risks. In the course of the study, the essence of the concepts of uncertainty, risk as such, economic risk and its varieties, including banking is gradually clarified. We offer our own definition of "bank risk" and describe its essence. Based on the understanding of the concepts of bank risks, liquidity balance, bank liq uidity, the essence of the risk of unbalanced liquidity is disclosed, its characteristics and main aspects of management are determined. In determining the risk of liquidity as a probability of a future state, when the bank may suffer losses due to the imbalance of demand for liquidity and availability at a certain point in time, we believe that the essence of liquidity management is reduced to the maximum balance of demand for liquid assets and their actual availability in a certain moment of time using special tools. Our paper also reveals the mechanism of information influence on bank liquidity and its leading role in liquidity risk management processes. Moreover, the paper discloses the conceptual constituents of organizational support for bank liquidity risk management. (shrink)

There is a need recognized by the National Institute of Dental & Craniofacial Research and the National Cancer Institute to advance basic, translational and clinical saliva research. The goal of the Salivaomics Knowledge Base (SKB) is to create a data management system and web resource constructed to support human salivaomics research. To maximize the utility of the SKB for retrieval, integration and analysis of data, we have developed the Saliva Ontology and SDxMart. This article reviews the informatics advances in (...) saliva diagnostics made possible by the Saliva Ontology and SDxMart. (shrink)

Traditionally, building energy model is created in isolation from the architectural building information model and energy analyses have relied on a single analysis tool. The building energy model can be generated more quickly by leveraging existing data from the BIM. The impacts of energy consumption are significant in the building usage phase, which can last several decades. Due to the large share of the final energy consumption in the building sector, accurate analysis of thermal and cooling loads of a building (...) and the efforts to reduce energy losses represent an effective way to reduce energy consumption. Therefore, it is essential to analyze the building energy performance in the design phase, which is when critical decisions are made. This study aims to investigate the impact of the building components and construction materials on building energy efficiency using Building Information Modeling (BIM) technology in a mild climate zone. After reviewing the proposed designs, the main building form was chosen for energy modeling and analysis. Then, building energy consumption analysis was performed based on the basic parameters of the building energy model. Eventually, the most optimal mode was selected by examining different energy consumption forms. This study showed that the building HVAC system always had the largest share of energy consumption. Finally, the results of parametric studies on alternative schemes of energy use intensity optimization showed that 22.59 % savings could be achieved as compared to the base building model in a 30-year time horizon. (shrink)

Buildings are the largest energy consumer in the world, according to the United Nations Environment Program. Most of the energy will be used during the building life-cycle stage. Thus, achieving sustainable development at the national level requires minimizing the impact of buildings on the environment by reducing energy consumption. Using Building Information Modeling technology in energy performance assessment could be significantly reduced time and cost. This study aimed to optimize energy consumption in a residential building using BIM technology. The (...) main focus of this study was to evaluate energy performance through the simultaneous evaluation of building components using BIM technology with a conceptual design approach, comparison, and reduction of energy consumption. To investigate different design ideas were created several conceptual masses in Autodesk Revit software with a top-down design approach. After reviewing the conceptual masses, the main building form was chosen for modeling. Then, building energy consumption was computed using related tools in this field, based on the type of materials, equipment, and project location. Finally, the most optimal mode was selected by examining different energy consumption forms. The results of parametric studies on alternative schemes of energy optimization showed that 58.46% of energy cost savings could be achieved compared to the initial model of the building on a 30-year time horizon. (shrink)

Dear Editors, -/- I found the content of your editorials to be highly intriguing [1,2]. Scientific journals are witnessing a growing prevalence of publications related to artificial intelligence (AI). Three letters to the editor were recently published in your journal [3-5]. The renowned journal Nature has dedicated approximately 25 publications solely to the subject of ChatGPT. Moreover, a quick search on Pubmed using the term "ChatGPT" yields around 900 articles, with the vast majority originating in 2023. These statistics underscore the (...) substantial interest of the scientific community in this area. -/- AI, especially the ChatGPT tool and the recent Bard, have faced criticism and been portrayed as significant adversaries of science. It is evident that many authors or researchers, who may not be well-versed in writing, can greatly benefit from these tools, as mentioned earlier. Without taking a contrarian stance, one should consider the potential advantages of such technologies for researchers in less privileged regions, where access to new technologies is limited, and local or regional challenges abound [6]. AI cannot be confounded with other technologies, as it specifically focuses on replicating human-like intelligence and decision-making processes, rather than simply automating tasks or improving performance based on data patterns. -/- The translation into English poses challenges due to the dominance of English in worldwide publications, with over 95% of articles being published in this language, and even reaching 98% in some fields. Although this manuscript was partially translated using AI, it can still benefit researchers from non-native English regions. Even simple tasks like text editing can be problematic for researchers in underprivileged areas. AI can play a crucial role in the evolution of online lectures and classes, providing valuable support for African maxillofacial surgeons who lack the luxury of taking breaks from work to update their knowledge, as they may be the only available option [7]. One of the remarkable features of AI is its ability to discover knowledge gaps. The use of simple tools like reference organizers is rapidly evolving and can become automated or semi-automated through AI. However, we must carefully consider whether we should refrain from relying too heavily on AI in certain cases, as this could be seen as a significant regression. -/- On the other hand, we must be cautious about freely allowing AI tools to circulate in scientific journals and books without proper regulation [8]. Currently, accurately identifying texts generated by AI is challenging, and their effectiveness remains relatively low, at less than 30%. This means that only about 30 out of every 100 texts can be confidently classified as AI-generated. The technology must advance further to increase detection accuracy or at least raise suspicion. Academic journals no longer view authors acknowledging artificial intelligence tools as co-authors in their research favorably. This is crucial to prevent certain unscrupulous individuals, such as "false prophets," charlatans, and flat-earthers, from infiltrating the realm of science, potentially impeding the progress of serious research conducted by professionals dedicated to advancing humanity through science. -/- It is essential to keep in mind that AI does not generate anything novel. Human authors can not be fully substituted [9]. In research involving groundbreaking concepts, innovations, case reports, or technical notes, the use of AI tends to be less frequent due to its lack of capability in creating innovative outcomes. On the other hand, reviews, whether narrative, systematic, or scoping, are based on existing publications. To address potential fraudulent practices, editors, reviewers, and journals themselves should exercise greater vigilance and apply more stringent filters for this type of publication. -/- An article from over a decade ago already discussed the professions most susceptible to replacement by computerization [10]. Maxillofacial surgeons, physicians, dentists, and psychologists are among the professions that are less likely to be displaced. This position can be attributed to the significant level of patient-professional interaction, the development of specific manual skills over time, and the ability to make adaptable decisions during procedures. These intricacies pose formidable challenges for AI to grasp, regardless of its level of advancement. -/- We should maintain a composed yet vigilant stance at this juncture. Just as Portuguese navigators feared encountering serpents and sea monsters when they ventured into uncharted waters, the uncertainty and novelty of AI can evoke apprehension in us all. Nonetheless, we must embrace the benefits that AI can offer while imposing strict regulations and appropriate penalties to prevent any potential abuses carried out "in the name of science." -/- Sincerely yours,. (shrink)

This qualitative study utilized the narrative approach to determine the advantages and disadvantages of printed modular distance learning in terms of lesson preparation and assessment of students’ outputs based on the experiences of six teachers in a public elementary school in Negros Occidental in the School Year 2021-2022, the strategies they employed in lesson preparation and assessment of students’ outputs, and the insights they gained into their strategies when they engaged in printed modular distance learning modality. The findings reveal (...) the following: (a) Modules are readily available for the only advantage of the printed modular distance learning in terms of lesson preparation; (b) Students’ outputs are well-thought-out for the only advantage of the printed modular distance learning in terms of assessment of students’ outputs; (c) Lessons are inappropriate and lesson preparation is delayed for the disadvantages of printed modular distance learning in terms of lesson preparation; (d) The authenticity of students’ outputs is dubitable for the only disadvantage of printed modular distance learning; (e) Be creative and flexible for the strategies employed by teachers in lesson preparation; (f) Verify the authenticity for the only strategy employed by teachers in the assessment of students’ outputs; (g) Flexibility and creativity may make lesson preparation easy for the insights gained by teachers into their strategies in terms of lesson preparation; and (h) Time management and appropriate assessment tools may facilitate assessment of students’ outputs for the insights gained by teachers into their strategies in terms of assessment of students’ outputs. The teachers were able to prepare their lessons and assess their students’ outputs despite the drawbacks of printed modular distance learning with effective strategies. (shrink)

This study aimed to identify the role of strategic leadership in activating time management strategies to enhance administrative creativity skills at Al-Azhar University. The sample of the study was random stratified sample from (245) administrative employees using questionnaire as a main tool for primary data collection. Total respondent were (112) questioners. Descriptive and quantitative approach used in this study. The general results of the study showed high levels of strategic leadership at Al-Azhar University, average level of application of (...) time management strategies and administrative creativity. This means there is acceptance approval that there is a statistically significant relationship between strategic leadership and time management strategies in Palestinian universities in Gaza Strip with a correlation level (0.724). Also, there is a statistically significant relationship between time management strategies and administrative creativity in Palestinian universities in Gaza Strip under study with a correlation level (0.848). According to static analysis, there is a statistically significant relationship between the dimensions of strategic leadership and administrative creativity in Palestinian universities in Gaza Strip under study, with a level of correlation (0.767%). This leases to high investment process for all available factors and elements in order to maximize and increase production and eliminate waste, wasted and unexploited employees' time and capabilities, which leads to achieving more effectiveness, positivity, productivity and increased organized effort. The study recommended necessity of having the elements of strategic academic leadership and activating time management strategies towards enhancing administrative creativity among workers in Palestinian universities in Gaza Strip. Also study recommended to encourage, support, and reward personal initiatives and creative ideas. Also study recommended available of wise and conscious strategic leadership to rationalize the behavior of individuals, mobilize their energies, mobilize their capabilities, coordinate their efforts, organize their affairs and direct them in the right direction towards achieving the desired goals and objectives. (shrink)

RESUMO A bovinocultura sempre esteve atrelada ao desenvolvimento do Brasil e, pensando no avanço, as exigências da máxima eficiência nos sistemas de criação foi pautada na forma de como conseguir realizar a reprodução de bovinos com ênfase na eficiência econômica e reprodutiva. O objetivo deste trabalho é elucidar as principais biotecnologias que auxiliam na maior produtividade reprodutiva de bovinos. Dessa forma, o estudo foi realizado usando artigos do banco de dados do Google acadêmico e SciELO, além de livros do acervo (...) pessoal e sites oficiais. Com o manejo reprodutivo aplicado na bovinocultura, é possível identificar pontos a serem melhorados e implantação de práticas que auxiliam no incremento da eficiência reprodutiva como a estação de monta, que concentra a fertilização dos animais em uma determinada época do ano, o uso do índice de escore corporal, o qual consegue determinar a viabilidade da vaca a ser fertilizada, e a identificação da idade a puberdade, na qual a novilha com 60% de peso vivo quando adulta pode estar apta para reprodução, indicando que a nutrição é um fator importante para reduzir o intervalo entre partos, bem como na indução da precocidade, que ainda pode ser maximizada por uso de bioestimuladores. Assim como a implantação do uso de biotecnologias, que podem adicionar aos planteis, indivíduos geneticamente superiores, saudáveis e eficientes. Dentre as biotecnologias, a inseminação artificial é a mais usada no Brasil, com capacidade de fertilizar vacas com sêmen de touros de genética superior, nacional ou importado. Podem ser citadas ainda as técnicas de transferência de embriões e produção in vitro de embriões como tecnologias a serviço do desenvolvimento da eficiência reprodutiva. A utilização de protocolos hormonais no ciclo estral objetiva a sincronização do estro das vacas para facilitar o emprego das biotecnologias. São vários os protocolos usados para essa finalidade, sendo Ovsynch a base de GnRH e prostaglandina com até 50% de eficácia, protocolos à base de estradiol e progesterona com eficácia de até 86,6%, e protocolos que usam gonadotrofina coriônica equina (eCG), indicados para animais magros por condicionar maior diâmetro folicular, o qual é relacionado com aumento na taxa de prenhez. Dessa maneira, as práticas e tecnologias citadas neste estudo são usadas na reprodução assistida de bovinos. PALAVRAS-CHAVE: Criopreservação. Estro. Gestação. Hipófise. Nutrição. ABSTRACT Cattle farming has always been linked to Brazil’s development and, thinking about advancement, the requirements for maximum efficiency in breeding systems was based on how to achieve the reproduction of cattle with an emphasis on economic and reproductive efficiency. The objective of this work is to elucidate the main biotechnologies that help in the greater reproductive productivity of cattle. Thus, the study was done using articles from the Academic Google and SciELO databases, as well as books from the personal collection and official websites. With the reproductive management applied in cattle farming, it is possible to identify points to be improved and implement practices that help to increase reproductive efficiency, such as the breeding season, which concentrates the fertilization of animals at a certain time of year, use of the body score index, which can determine the viability of the cow to be fertilized, identification of age at puberty, in which the heifer with 60% live weight as an adult may be suitable for reproduction, indicating that nutrition is an important factor in reducing the interval between births, as well as in inducing precocity, which can still be maximized by the use of biostimulators. As well as the implementation of the use of biotechnology, which can add genetically superior, healthy and efficient individuals to the breeding stock. Among the biotechnologies, artificial insemination is the most used in Brazil, with the capacity to fertilize cows with superior genetic bull semen, whether national or imported. Embryo transfer techniques and in vitro embryo production can also be cited as technologies in the service of the development of reproductive efficiency. The use of hormonal protocols in the estrous cycle aims at synchronizing the estrus of cows to facilitate the use of biotechnologies. There are several protocols used for this purpose, with Ovsynch being based on GnRH and prostaglandin with up to 50% efficacy, protocols based on estradiol and progesterone with efficacy of up to 86.6%, and protocols that use equine chorionic gonadotropin (eCG), indicated for lean animals because they condition larger follicular diameter, which is related to an increase in the pregnancy rate. Thus, the practices and technologies mentioned in this study can help the assisted reproduction of cattle. KEYWORDS: Cryopreservation. Estro. Gestation. Hypophysis. Nutrition. -/- REFERÊNCIAS BIBLIOGRÁFICAS -/- ALENCAR, M.M. Perspectivas para o melhoramento genético de bovinos de corte no Brasil. In: Embrapa Pecuária Sudeste-Artigo em anais de congresso (ALICE). In: REUNIÃO ANUAL DA SOCIEDADE BRASILEIRA DE ZOOTECNIA, 41., 2004, Campo Grande, MS. Palestras... Campo Grande: SBZ, 2004, p. 358-367., 2004. ALVES, H.A.G. Otimização da produtividade económica e reprodutiva de uma exploração de bovinos de carne. Dissertação de mestrado em Medicina Veterinária no Curso de Mestrado em Medicina Veterinária, conferido pela Universidade Lusófona de Humanidades e Tecnologias, 2014. AZEVEDO, C. et al. O protocolo hormonal ovsynch e suas modificações em vacas leiteiras de alta produção: uma revisão. Archivos de zootecnia, v. 63, n. 241, p. 173- 187, 2014. BARBOSA, C.F. et al. Inseminação artificial em tempo fixo e diagnóstico precoce de gestação em vacas leiteiras mestiças. Revista Brasileira de Zootecnia, v. 40, p. 79- 84, 2011. BARBOSA, F.A. et al. Produtividade e eficiência econômica de sistemas de produção de cria, recria e engorda de bovinos de corte na região sul do estado da Bahia. Arquivo Brasileiro de Medicina Veterinária e Zootecnia, v. 62, p. 677-685, 2010. BARBOSA, R.T.; MACHADO, R. Panorama da inseminação artificial em bovinos. Embrapa Pecuária Sudeste-Documentos (INFOTECA-E), 2008. BARREIROS, T.R.R. et al. Dynamics of follicular growth and progesterone concentrations in cyclic and anestrous suckling Nelore cows (Bos indicus) treated with progesterone, equine chorionic gonadotropin, or temporary calf removal. Theriogenology, v. 81, n. 5, p. 651-656, 2014. BARUSELLI, P.S. et al. Evolução e perspectivas da inseminação artificial em bovinos. Revista Brasileira de Reprodução Animal, v. 43, n. 2, p. 308-314, 2019. BATISTELLA, M. et al. Geotecnologias e gestão territorial da bovinocultura no Brasil. Revista Brasileira de Zootecnia, v. 40, p. 251-260, 2011. BERLITZ, C.G.B. Impacto do estresse ambiental na reprodução de bovinos de corte. Trabalho de Conclusão em Medicina Veterinária. Universidade Federal do Rio Grande Do Sul, 2019. BORDINHON, S.G. Aspectos gerais das fases de cria e recria de bovinos leiteiros. Trabalho de Conclusão de Curso. Curso Medicina Veterinária, Universidade Federal De Santa Catarina, 2021. CAMARGO, L.M. et al. Influência dos escores de condição corporal e da heterose sobre os resultados da inseminação artificial em tempo fixo. Revista Eletrônica Biociências, Biotecnologia e Saúde, v. 10, n. 19, p. 7-16, 2017. CAMPOS, C.C. et al. Gonadorelin at the outset and/or end of an ovulation synchronization progesterone estradiol benzoate-based protocol in Nellore females. Semina: Ciências Agrárias, v. 37, n. 1, p. 173-181, 2016. CARNEIRO JR, J.M.; DE ASSIS, G.M.L. Objetivos e critérios de seleção em bovinos de corte em fase de cria. Embrapa Acre-Artigo de divulgação na mídia (INFOTECA-E), 2016. CARRIJO, M.S.; LINHARES, W.D.; BARCELOS, K.A. Descrição do manejo produtivo, reprodutivo e sanitário de 10 rebanhos leiteiros localizados em 7 municípios do estado de Goiás. Pubvet, v. 2, n. 28, p. 279-294, 2008. CASTRO, S.V. et al. Agentes crioprotetores intracelulares: características e utilização na criopreservação de tecido ovariano e oócitos. Acta Scientiae Veterinariae, v. 39, n. 2, p. 1-17, 2011. CEREZETTI, M.B. et al. Alternativas Para Substituição Do Uso De Implantes Vaginais De Progesterona Na Inseminação Artificial Em Tempo Fixo Em Bovinos. Revista de Ciência Veterinária e Saúde Pública, v. 6, n. 2, p. 416-433, 2019. CEZAR, I.M. et al. Sistemas de produção de gado de corte no Brasil: uma descrição com ênfase no regime alimentar e no abate. Campo Grande, MS: Embrapa Gado de Corte, 2005. COLAZO, M.G.; MAPLETOFT, R. Fisiología del ciclo estral bovino. Ciencia Veterinaria, v. 16, n. 2, p. 31-46, 2017. CONERA, VII. Manejo reprodutivo de bovinos: potencialidade e desafios. Acta Veterinaria Brasilica, v. 8, p. 317-319, 2014. CUNHA, J.M. et al. Aspectos Fisiológicos Do Ciclo Estral Em Bovinos. In: Anais Colóquio Estadual de Pesquisa Multidisciplinar (ISSN-2527-2500) & Congresso Nacional de Pesquisa Multidisciplinar. 2019. CUNHA, R.R. et al. Inseminação artificial em tempo fixo em primíparas Nelore lactantes acíclicas. Arquivo Brasileiro de Medicina Veterinária e Zootecnia, v. 65, p. 1041-1048, 2013. CUNNINGHAM, J. Tratado de fisiologia veterinária. Elsevier Health Sciences, 2011. Da Silva, E. I. C. (2022). Fisiologia da Reprodução de Bovinos Leiteiros: Aspetos Básicos e Clínicos (1st ed.). Belo Jardim. DA SILVA, Emanuel Isaque Cordeiro. Fisiologia do ciclo estral dos animais domésticos. Emanuel Isaque Cordeiro da Silva, 2021. DA SILVA, Emanuel Isaque Cordeiro. Puberdade e Estacionalidade Reprodutiva dos Animais. 2020a. DA SILVA, Emanuel Isaque Cordeiro. Reprodução Animal: Inseminação Artificial. 2020b. DA SILVA, Emanuel Isaque Cordeiro. Transferência de Embriões nos Animais e a Indústria de Embriões no Brasil. 2020c. D’AVILA, C.A. et al. Hormônios utilizados na indução da ovulação em bovinos–Artigo de revisão. Revista Brasileira de Reprodução Animal, v. 43, n. 4, p. 797-802, 2019. DAVIDSON, A.P.; STABENFELDT, G.H. Controle do desenvolvimento gonadal e dos gametas. Tratado de fisiologia veterinária (Cunningham), p. 408-415, 2014. DIAS, E.A.R. et al. O uso de ECG influencia a taxa de concepção em vacas Nelore de diferentes condições corporais submetidas ao mesmo protocolo de IATF?. Boletim de Indústria Animal, v. 70, n. 3, p. 215-220, 2013. DYCE, K.M.; SACK, W.O.; WENSING, C.J.G. Tratado de anatomia veterinária. 4.ed. Rio de Janeiro: Elsevier, 2010. FERNANDES, A.F.A.; OLIVEIRA, J.A.; QUEIROZ, S.A. Escore de condição corporal em ruminantes. Ars Veterinaria, v. 32, n. 1, p. 55-66, 2016. FERRAZ, P.A. et al. Dinâmica folicular e taxa de concepção de vacas Nelore sincronizadas com diferentes protocolos de indução da ovulação. Archives of Veterinary Science, v. 18, n. 4, 2013. FERREIRA, R.M. et al. Synchronization treatments previous to natural breeding anticipate and improve the pregnancy rate of postpartum primiparous beef cows. Theriogenology, v. 114, p. 206-211, 2018. FILHO, L.C.C. et al. Fatores que interferem na eficiência reprodutiva de receptoras de embrião bovino. Arq. Ciênc. Vet. Zool., v. 16, n. 2, p. 201-208, 2013. FONSECA, R.S. Manejo nutricional, reprodutivo e biotécnicas para incrementar a eficiência reprodutiva em rebanhos de vacas de corte. Dissertação de Mestrado. Universidade Federal de Viçosa, 2018. FONSECA, V.O. et al. Parâmetros reprodutivos de touros Nelore (Bos taurus indicus) criados a pasto, em de diferentes faixas etárias. Arquivo Brasileiro de Medicina Veterinária e Zootecnia, v. 71, p. 385-392, 2019. FONTES, A.R.C. Transferência de Biotecnologia. Revista Online de Pesquisa: Propriedade Intelectual, v. 2, n. 2, p. 98-110, 2019. GALVÃO, A.L.C.O. Fertilidade de touros e suas interações com fatores relacionados as fêmeas em programas de inseminação artificial em tempo fixo. Tese de Doutorado. Universidade de São Paulo, 2021. GOTTSCHALL, C.S. et al. Avaliação do desempenho reprodutivo de vacas de corte lactantes submetidas à IATF a partir da aplicação do GnRH, da manifestação estral, da reutilização de dispositivos intravaginais e da condição corporal. Acta Scientiae Veterinariae, v. 40, n. 1, p. 1-10, 2012. GOTTSCHALL, C.S. et al. Influência da indução à puberdade e do peso vivo sobre a resposta reprodutiva em novilhas de corte. Revista Veterinária em Foco, v. 16, n. 2, 2019. GOUVEIA, F.F. A Produção in vitro de embriões bovinos. Monografia (Trabalho de Conclusão de Curso) – Faculdade de Agronomia e Veterinária, Universidade de Brasília, Brasília, 2011. GUASTI, P.N.; MONTEIRO, G.A.; PAPA, F.O. Componentes do plasma seminal e sua influência sobre a criopreservação e fertilidade de espermatozoides equinos. Veterinária e Zootecnia, v.19, n.2, p.169-180, 2012. GUIMARÃES, J.D. et al. Seleção e manejo reprodutivo de touros zebu. Revista Brasileira de Zootecnia, v. 40, p. 379-388, 2011. HAFEZ, E.S.E. Reprodução Animal, 7 ed. São Paulo: Manole Ltda, 2004. HARTMANN, W. et al. Influência do escore de trato reprodutivo e da circunferência escrotal dos touros sobre a antecipação da puberdade em novilhas Nelore. Tuiuti: ciência e cultura, v. 7, n. 62, p. 140-165, 2021. HILL, R.W.; WYSE, G.A.; ANDERSON, M. Fisiologia Animal-2. Artmed Editora, 2016. KONIG, H.E.; LIEBICH, H.G. Anatomia dos animais domésticos. 6ª ed. Porto Alegre: Artmed, 2016. LEITE, P.A. et al. Criopreservação do sêmen bovino. Journal of Health Sciences, v. 13, n. 4, 2011. LUSTOSA, A.A. et al. Aspectos relevantes na produção comercial de embriões bovinos por meio da técnica biotecnológica de fertilização in vitro: Revisão. Pubvet, v. 12, p. 130, 2018. MACHADO, R. et al. Escore da condição corporal e sua aplicação no manejo reprodutivo de ruminantes. Embrapa Pecuária Sudeste-Circular Técnica (INFOTECA-E), 2008. MARQUES JR, P.A. Manejo reprodutivo de bovinos. Ciência Animal, p. l2548-l2548, 2012. MARQUES, L.R. et al. Detecção de estro e desempenho reprodutivo de vacas leiteiras: Revisão. Research, Society and Development, v. 9, n. 7, 2020. MARTINS, C.F. et al. Inseminação artificial: uma tecnologia para o grande e o pequeno produtor. Embrapa Cerrados-Documentos (INFOTECA-E), 2009. MEIRELLES, C. et al. Eficiência da inseminação artificial com sêmen sexado bovino. Archives of Veterinary Science, v. 13, n. 2, 2008. MELLO, R.R.C. et al. Produção in vitro (PIV) de embriões em bovinos. R. Bras. Reprod. Anim., p. 6458-6458, 2016. MELLO, R.R.C. Puberdade e maturidade sexual em touros bovinos. Agropecuária Científica no Semiárido, v. 10, n. 3, p. 11-28, 2015. MELO, A.F. et al. Efeitos do estresse térmico na produção de vacas leiteiras: Revisão. Pubvet, v. 10, p. 721-794, 2016. MORETTO, B.; TÚLIO, L.M.; JUNIOR, E.M.Z. Influência dos diferentes escores corporais na taxa de prenhez de vacas zebuínas. Arquivos Brasileiros de Medicina Veterinária FAG, v. 1, n. 1, 2018. MOYES, C.D.; SCHULTE, P.M. Princípios de fisiologia animal. Artmed Editora, 2009. MURPHY, B.D. Equine chorionic gonadotropin: an enigmatic but essential tool. Animal Reproduction (AR), v. 9, n. 3, p. 223-230, 2018. NEPOMUCENO, D.D. Efeito do manejo nutricional sobre a maturação do eixo reprodutivo somatotrófico no início da puberdade de novilhas Nelore. Tese de Doutorado. Universidade de São Paulo, 2013. NETO, A.P. et al. Reutilização de implante intravaginal de progesterona para sincronização de estro em bovinos. Arquivos de Ciências Veterinárias e Zoologia da UNIPAR, v. 12, n. 2, 2009. OLIVEIRA C.G.A.; JÚNIOR, M.B.C. Métodos de detecção de estro e falhas relacionadas. Pubvet, v. 9, p. 348-399, 2015. OLIVEIRA, C.S. et al. Biotécnicas da Reprodução em Bovinos. EMBRAPA, 2014. OLIVEIRA, F.R.P.; CARDOSO, D.; OLIVEIRA, F.V. História da inseminação artificial. Zootecnia: Nutrição e Produção Animal, 2020. OLIVEIRA, L.; SILVA, R.S. Tempo é dinheiro: implementação de Estação de Monta e IATF. 2019. OLIVEIRA, R.B.; SILVA JR, B.A.; CAVALCANTE, T.H.C. Indução de novilhas para protocolo de inseminação artificial em tempo fixo: Revisão. PUBVET, v. 12, p. 133, 2018. PAZZIM, L.V.L. Transferência de embriões em bovinos: revisão de literatura. Trabalho Conclusão do Curso (Graduação em Medicina Veterinária) - Universidade Federal de Santa Catarina, Centro de Ciências Rurais, 2021. PEGORARO, L.M.C.; SAALFELD, M.H.; PRADIEÉ, J. Inseminação Artificial em Bovinos. Embrapa Clima Temperado-Documentos (INFOTECA-E), 2016. PEIXER, P.F. et al. Produção in vitro de embriões bovinos. Revista ESPACIOS, [s.l.], v. 39,n.16, 2018. PENITENTE FILHO, J.M. et al. Produção de embriões bovinos in vivo e in vitro. Revista CFMV, Ano XX, p. 73-82, 2014. PESCARA, J. O efeito do estresse térmico em vacas leiteiras e suas implicações nutricionais. [S. l.], 2012. Disponível em. Acesso em: 15 nov. 2021. PINHEIRO NETO, F.S.A. et al. Avaliação da IATF em novilhas Girolando utilizandose diferentes protocolos com sêmen sexado: comunicação breve, Rev. Bras. Reprod. Anim., Belo Horizonte, v.39, n.3, p.362-366, 2015. PTASZYNSKA, M. Compêndio de Reprodução Animal – Intervet, 2010. PUGLIESI, G. et al. Uso da ultrassonografia Doppler em programas de IATF e TETF em bovinos. Rev Bras Reprod Anim, v. 41, n. 1, p. 140-150, 2017. PURSLEY, J.R.; MEE, M.O.; WILTBANK, M.C. Synchronization of ovulation in dairy cows using PGF2α and GnRH. Theriogenology, v. 44, n. 7, p. 915-923, 1995. REZENDE, L.P. et al. Implantação de escrituração zootécnica em pequenas propriedades rurais no município de Grajaú-MA. Veterinária e Zootecnia, v. 27, p. 1- 16, 2020. RIBEIRO FILHO, A.L. et al. Diâmetro do folículo no momento da inseminação artificial em tempo fixo e taxa de concepção em vacas Nelore. Ciência Animal Brasileira, v. 14, p. 501-507, 2013. RICCI, G.D.; ORSI, A.M.; DOMINGUES, P.F. Estresse calórico e suas interferências no ciclo de produção de vacas de leite: revisão. Veterinária e Zootecnia, p. 9-18, 2013. RODRIGUES, J.L.; BERTOLINI, M. Biotecnologias da reprodução animal: de Aristóteles à edição gênica. Revista Brasileira de Reprodução Animal, v. 43, n. 2, p. 204-208, 2019. ROSA, P.P. et al. Life cycle systems of Replacement Females in Dairy Farms [Cria e recria de fêmeas de reposição em propriedades leiteiras]. Revista Eletrônica de Veterinária, 19(5), 1–12, 2018. SÁ FILHO, M.F. et al. Induction of ovarian follicular wave emergence and ovulation in progestin-based timed artificial insemination protocols for Bos indicus attle. Animal Reproduction Science, v.129, n.3, p132–139, 2011. SÁ FILHO, M.F. et al. Ovarian follicle diameter at timed insemination and estrous response influence likelihood of ovulation and pregnancy after estrous synchronization with progesterone or progestin-based protocols in suckled Bos indicus cows. Animal Reproduction Science, v. 120, n. 1-4, p. 23-30, 2010. SANTOS, B.D. Inseminação artificial em bovinos. Trabalho de conclusão de curso (Graduação em Agronomia). Instituto federal de São Paulo. Campus Barretos. 2016. SANTOS, J.F.D. et al. Qualidade do sêmen bovino criopreservado. Revista Espacios. Vol. 39, 2018. SANTOS, K.J.G. et al. Biotecnologias reprodutivas e fisiologia reprodutiva da fêmea bovina conhecimento para o sucesso. PUBVET, Londrina, V. 6, N. 36, Ed. 223, Art. 1483, 2012. SANTOS, P.H. Impactos da superestimulação ovariana sobre a diferenciação das células da granulosa bovina. Dissertação de Mestrado em Farmacologia e Biotecnologia – UNESP. 2017. SANTOS, S.A. et al. Condição corporal, variação de peso e desempenho reprodutivo de vacas de cria em pastagem nativa no Pantanal. Revista Brasileira de Zootecnia, v. 38, p. 354-360, 2009. SARTOR, G. Avaliação da taxa de prenhez em fêmeas bovinas de corte de diferentes categorias submetidas a protocolos de IATF. Trabalho Conclusão do Curso (Graduação em Medicina Veterinária) - Universidade Federal de Santa Catarina, campus Curitibano. Santa Catarina. 2017. SCOTT, C. et al. Estudo sobre as diferentes técnicas de sexagem de espermatozoides. Veterinária e Zootecnia, v. 25, n. 1, p. 21-29, 2018. SILVA, B.J. et al. O modelo dos “Cinco Domínios” do bem-estar animal aplicado em sistemas intensivos de produção de bovinos, suínos e aves. Revista Brasileira de Zoociências, v. 19, n. 2, 2018. SILVA, J.S. et al. Aspectos comerciais da transferência de embriões e fertilização in vitro em bovinos – revisão. Revista Eletrônica Nutritime. v. 12, n. 5, 2015. SILVA, M.A.N.; MELLO, M.R.B.; PALHANO, H.B. Inseminação artificial e inseminação artificial em tempo fixo em bovinos. Revista Científica do UBM, p. 79-97, 2021. SILVA, P.R.B. et al. Regulação farmacológica do ciclo estral de bovinos. Pubvet, v. 5, p. Art. 1251-1257, 2011. SILVA, R.R. et al. Produção in vitro de Embriões Bovinos: Estado da Arte. In: Colloquium Agrarie. 2017. SOARES, P.H.A.; JUNQUEIRA, F.S. Particularidades reprodutivas da fêmea bovina: Revisão. PUBVET, v. 13, p. 148, 2018. SOUZA, J.A.T. et al. Novos enfoques na avaliação andrológica de bovinos e sua contribuição no melhoramento genético do rebanho. Ciência Animal, p. 44-56, 2020. SOUZA, M.T.; SILVA, M.D; CARVALHO, R. Revisão integrativa: o que é e como fazer. Einstein (São Paulo), v. 8, p. 102-106, 2010. SOUZA, N.S.; ABADE, C.C. Produção in vitro de embriões bovinos: etapas de produção e histórico no Brasil. Ciência Veterinária UniFil, v. 1, n. 3, p. 95-108, 2019. STAUB, C.; JOHNSON, L. Review: Spermatogenesis in the bull. Animal, v.12, p.27- 35, 2018. STRELCZUK, G. Diagnóstico precoce de gestação em bovinos leiteiros. Monografia curso medicina veterinária. Faculdade Federal do Rio Grande do Sul, 2015. STRINGFELLOW, D.A.; SEIDEL, S.M. Manual da Sociedade Internacional de Transferência de Embriões. IETS, p. 112-113, Illinois, 1998. TEIXEIRA, L.S. et al. Técnicas de melhoramento genético em bovinos para o aumento na produção de leite. Interfaces Científicas-Saúde e Ambiente, v. 2, n. 2, p. 81-87, 2014. TORRES-JÚNIOR, J.R.S. et al. Considerações técnicas e econômicas sobre reprodução assistida em gado de corte. Revista Brasileira de Reprodução Animal, p. 53-58, 2009. VALENTIM, J.K. et al. Fatores Nutricionais Aplicados à Reprodução de Ruminantes. UNICIÊNCIAS, v. 23, n. 2, p. 77-82, 2019. VALLE, E.R.; ANDREOTTI, R.; THIAGO, L.R.L.S. Técnicas de manejo reprodutivo em bovinos de corte. Embrapa Gado de Corte, 2000. VIANA, W. et al. Taxa de prenhez de vacas zebuínas com uso da inseminação artificial em tempo fixo (IATF) em fazendas do norte de Minas Gerais. Revista Científica Eletrônica de Medicina Veterinária, v. 24, n. 24, p. 1-8, 2015. VIEIRA, A.C.M.; PERIN, J.N.; DIAS, D.P.M. Preparo de rufiões bovinos por falopexia paramediana ventral. Nucleus Animalium, v. 7, n. 1, 2015. WEBB, R.; BURATINI, J. Desafios globais para o século XXI: o papel e a estratégia do setor agropecuário. Anais da XXX Reunião Anual da Sociedade Brasileira de Tecnologia de Embriões, p. 36, 2016. ZANDONAIDE, J.P.B. Efeito da suplementação de hidroxietilamido em diluidor comercial na criopreservação do sêmen bovino. Dissertação de Mestrado. Universidade de Uberaba, 2018. (shrink)

Cloud computing is the web-based empowering agent for sharing of mechanical infrastructural assets, programming, and computerized content, permitting them Infrastructure, Platforms, Software) to be offered on a compensation-for-use premise, similar to any utility assistance. Dramatic development in Computer capacities, the extra-conventional pace of development in advanced substance utilization, trailed by unstable development of uses have brought forth the beginning of Cloud Computing. The bookmarks which are saved offline can be only accessed by the specific system. The bookmarks are stored (...) in the cloud using platform-as-a-service. Platform-as-a-service (PaaS) is the following layer up – just as the basic stockpiling, organizing, and virtual servers this will likewise incorporate the instruments and programming that designers need to assemble applications on top of: that could incorporate middleware, database management, operating system, and development tools. (shrink)

The Internet of Things (IoT) infrastructure forms a gigantic network of interconnected and interacting devices. This infrastructure involves a new generation of service delivery models, more advanced data management and policy schemes, sophisticated data analytics tools, and effective decision making applications. IoT technology brings automation to a new level wherein nodes can communicate and make autonomous decisions in the absence of human interventions. IoT enabled solutions generate and process enormous volumes of heterogeneous data exchanged among billions of nodes. (...) This results in Big Data congestion, data management, storage issues and various inefficiencies. Fog Computing aims at solving the issues with data management as it includes intelligent computational components and storage closer to the data sources. Often, an IoT-enabled infrastructure is shared among many users with various requirements. Sharing resources, sharing operational costs and collective decision making (consensus) among many stakeholders is frequently neglected. This research addresses an essential requirement for adaptive, autonomous and consensus-based Fog computational solutions which are able to support distributed and in-network schemes and policies. These network schemes and policies need to meet the requirements of many users. In this work, innovative consensus-based computational solutions are investigated. These proposed solutions aim to correlate and organise data for effective management and decision making in Fog. Instead of individual decision making, the algorithms aim to aggregate several decisions into a consensus decision representing a collective agreement, benefiting from the individuals variant knowledge and meeting multiple stakeholders requirements. In order to validate the proposed solutions, hybrid research methodology is involved that includes the design of a test-bed and the execution of several experiments. In order to investigate the effectiveness of the paradigm, three experiments were designed and validated. Real-life sensor data and synthetic statistical data was collected, processed and analysed. Bayesian Machine Learning models and Analytics were used to consolidate the design and evaluate the performance of the algorithms. In the Fog environment, the first scenario tests the Aggregation by Distribution algorithm. The solution contribute in achieving a notable efficiency of data delivery obtained with a minimal loss in precision. The second scenario validates the merits of the approach in predicting the activities of high mobility IoT applications. The third scenario tests the applications related to smart home IoT. All proposed Consensus algorithms use statistical analysis to support effective decision making in Fog and enable data aggregation for optimal storage, data transmission, processing and analytics. The final results of all experiments showed that all the implemented consensus approaches surpass the individual ones in different performance terms. Formal results also showed that the paradigm is a good fit in many IoT environments and can be suitable for different scenarios when applying data analysis to correlate data with the design. Finally, the design demonstrates that Fog Computing can compete with Cloud Computing in terms of accuracy with an added preference of locality. (shrink)

The EU Artificial Intelligence Act (AIA) defines four risk categories for AI systems: unacceptable, high, limited, and minimal. However, it lacks a clear methodology for the assessment of these risks in concrete situations. Risks are broadly categorized based on the application areas of AI systems and ambiguous risk factors. This paper suggests a methodology for assessing AI risk magnitudes, focusing on the construction of real-world risk scenarios. To this scope, we propose to integrate the AIA with a framework developed (...) by the Intergovernmental Panel on Climate Change (IPCC) reports and related literature. This approach enables a nuanced analysis of AI risk by exploring the interplay between (a) risk determinants, (b) individual drivers of determinants, and (c) multiple risk types. We further refine the proposed methodology by applying a proportionality test to balance the competing values involved in AI risk assessment. Finally, we present three uses of this approach under the AIA: to implement the Regulation, to assess the significance of risks, and to develop internal risk management systems for AI deployers. (shrink)

Artificial Intelligence (AI) is rapidly transforming Human Resource Management (HRM) by enhancing the efficiency and effectiveness of key functions such as recruitment, performance management, and employee engagement. This paper explores the integration of AI technologies in HRM, focusing on their potential to revolutionize these critical areas. In recruitment, AI-driven tools streamline candidate sourcing, screening, and selection processes, leading to more accurate and unbiased hiring decisions. Performance management is similarly transformed, with AI enabling continuous, data-driven feedback and (...) personalized development plans that align with organizational goals. Furthermore, AI facilitates more engaging and tailored employee experiences by leveraging predictive analytics to anticipate and address employee needs. Despite these advancements, the paper also addresses the ethical considerations and challenges associated with AI in HRM, including data privacy concerns and the risk of over-reliance on automated systems. Through a comprehensive analysis, this paper aims to provide insights into how AI can be strategically leveraged to optimize HRM practices, while highlighting the need for a balanced approach that integrates human judgment with technological innovation. (shrink)

From music recommendation to assessment of asylum applications, machine-learning algorithms play a fundamental role in our lives. Naturally, the rise of AI implementation strategies has brought to public attention the ethical risks involved. However, the dominant anti-discrimination discourse, too often preoccupied with identifying particular instances of harmful AIs, has yet to bring clearly into focus the more structural roots of AI-based injustice. This paper addresses the problem of AI-based injustice from a distinctively epistemic angle. More precisely, I argue (...) that the injustice generated by the implementation of AI machines in our societies is, in some paradigmatic cases, also a form of epistemic injustice. With a particular focus on AIs employed as gatekeepers of our epistemic resources, this paper shows how their epistemically conformist behaviour is responsible for the marginalisation and the ostracism of minoritarian perspectives. Because it clarifies key structural flaws and weaknesses of current AI design, this paper helps make headway in critical discussion of current AI technologies. And because it forges new theoretical tools to understand forms of epistemic oppression, this paper also contributes to the advancement of feminist theorisation. (shrink)

For several years, scholars have (for good reason) been largely preoccupied with worries about the use of artificial intelligence and machine learning (AI/ML) tools to make decisions about us. Only recently has significant attention turned to a potentially more alarming problem: the use of AI/ML to influence our decision-making. The contexts in which we make decisions—what behavioral economists call our choice architectures—are increasingly technologically-laden. Which is to say: algorithms increasingly determine, in a wide variety of contexts, both the sets (...) of options we choose from and the way those options are framed. Moreover, artificial intelligence and machine learning (AI/ML) makes it possible for those options and their framings—the choice architectures—to be tailored to the individual chooser. They are constructed based on information collected about our individual preferences, interests, aspirations, and vulnerabilities, with the goal of influencing our decisions. At the same time, because we are habituated to these technologies we pay them little notice. They are, as philosophers of technology put it, transparent to us—effectively invisible. I argue that this invisible layer of technological mediation, which structures and influences our decision-making, renders us deeply susceptible to manipulation. Absent a guarantee that these technologies are not being used to manipulate and exploit, individuals will have little reason to trust them. (shrink)

Humankind is currently confronted with a critical challenge that determines its very existence, not only on an individual, racial, or national level but as a whole species: the fight against climate change and environmental degradation. To win this battle, humanity needs innovations and non-linear thinking. Nature has long been a substantial information source for unthinkable discoveries that save human lives. The paper suggests that by understanding the nature, emergence, and mechanism of serendipity, the survival skill of humans, humanity can capitalize (...) on it to learn from nature and generate nature-based innovations that can address the climate and environmental degradation crises. In the era of Artificial Intelligence (AI) proliferation, AI will be a vital tool providing navigational and useful information to leverage the power of serendipity in climate and sustainability science. However, an eco-surplus culture that incorporates core values pertaining to nature and sees environmental sustainability as the conscience of the times needs to be built to direct and control the immense power of AI-leveraged serendipity. Insights applied in this paper are drawn from the book titled “A New Theory of Serendipity: Nature, Emergence and Mechanism”. (shrink)

Migraine is a complex neurological disorder characterized by recurrent moderate to severe headaches, accompanied by additional symptoms such as nausea, sensitivity to light and sound, and visual disturbances. Accurate and timely diagnosis of migraines is crucial for effective management and treatment. However, the diverse range of symptoms and overlapping characteristics with other headache disorders pose challenges in the diagnostic process. In this research, we propose the development of an expert system for migraine diagnosis using artificial intelligence and the CLIPS (...) (C Language Integrated Production System) framework. The expert system utilizes a rule-based inference engine to analyze patient-reported symptoms and provide reliable diagnoses or probability scores indicating the likelihood of migraine. The knowledge base of the expert system is designed based on expert knowledge obtained from medical professionals specializing in migraines. The collected knowledge is translated into a structured format suitable for the CLIPS inference engine, incorporating rules and facts to represent the diagnostic criteria and associated symptoms. The system prompts users to provide relevant information about their symptoms, medical history, and potential triggers. It applies the defined rules and facts to evaluate the likelihood of migraine and generate accurate diagnoses or probability scores. Preliminary evaluation results demonstrate the potential of the expert system as a valuable tool for diagnosing migraines. A dataset of anonymized patient records with confirmed migraine cases was used to test the system. The diagnoses generated by the expert system were compared against the known diagnoses, and a high level of accuracy was observed, with 90% of cases correctly diagnosed as migraines. These results highlight the effectiveness and reliability of the system in assisting medical professionals in the diagnosis of migraines. The proposed expert system offers several advantages for migraine diagnosis. It leverages the collective knowledge and expertise of experienced migraine specialists, providing a standardized and consistent approach to diagnosis. The system can handle large amounts of patient data and effectively analyse complex relationships between symptoms, risk factors, and diagnostic criteria. Furthermore, it offers real-time feedback and recommendations, supporting medical professionals in their clinical decision-making process. Future work involves refining the expert system based on feedback from medical experts, expanding the knowledge base to encompass a wider range of symptoms and risk factors, and conducting further evaluations to enhance its accuracy and applicability in clinical settings. The development of an expert system for migraine diagnosis has the potential to improve the diagnostic process, leading to more effective management and treatment strategies for individuals suffering from migraines. (shrink)

It has been argued that our currently most satisfactory social epistemology of science can’t account for science that is based on artificial intelligence (AI) because this social epistemology requires trust between scientists that can take full responsibility for the research tools they use, and scientists can’t take full responsibility for the AI tools they use since these systems are epistemically opaque. I think this argument overlooks that much AI-based science can be done without opaque models, and (...) that agents can take full responsibility for the systems they use even if these systems are opaque. Requiring that an agent fully understand how a system works is an untenably strong condition for that agent to take full responsibility for the system and risks absolving AI developers from responsibility for their products. AI-based science need not create trust-related social epistemological problems if we keep in mind that what makes both individual scientists and their use of AI systems trustworthy isn’t full transparency of the internal processing but their adherence to social and institutional norms that ensure that scientific claims can be trusted. (shrink)

A growing range of brain-computer interface (BCI) technologies is being employed for purposes of therapy and human augmentation. While much thought has been given to the ethical implications of such technologies at the ‘macro’ level of social policy and ‘micro’ level of individual users, little attention has been given to the unique ethical issues that arise during the process of incorporating BCIs into eHealth ecosystems. In this text a conceptual framework is developed that enables the operators of eHealth ecosystems to (...) manage the ethical components of such processes in a more comprehensive and systematic way than has previously been possible. The framework’s first axis defines five ethical dimensions that must be successfully addressed by eHealth ecosystems: 1) beneficence; 2) consent; 3) privacy; 4) equity; and 5) liability. The second axis describes five stages of the systems development life cycle (SDLC) process whereby new technology is incorporated into an eHealth ecosystem: 1) analysis and planning; 2) design, development, and acquisition; 3) integration and activation; 4) operation and maintenance; and 5) disposal. Known ethical issues relating to the deployment of BCIs are mapped onto this matrix in order to demonstrate how it can be employed by the managers of eHealth ecosystems as a tool for fulfilling ethical requirements established by regulatory standards or stakeholders’ expectations. Beyond its immediate application in the case of BCIs, we suggest that this framework may also be utilized beneficially when incorporating other innovative forms of information and communications technology (ICT) into eHealth ecosystems. (shrink)

This chapter focuses on AI-based cognitive and perceptual enhancements. AI-based brain enhancements are already under development, and they may become commonplace over the next 30–50 years. We raise doubts concerning whether radical AI-based enhancements transhumanists advocate will accomplish the transhumanists goals of longevity, human flourishing, and intelligence enhancement. We urge that even if the technologies are medically safe and are not used as tools by surveillance capitalism or an authoritarian dictatorship, these enhancements may still fail to (...) do their job for philosophical reasons. In what follows, we explore one such concern, a problem that involves the nature of the self. We illustrate that the so called transhumanist efforts to “merge oneself with AI” could lead to perverse realizations of AI technology, such as the demise of the person who sought enhancement. And, in a positive vein, we offer ways to avoid this, at least within the context of one theory of the nature of personhood. (shrink)

Abstract: The COVID-19 pandemic has posed unprecedented challenges to global healthcare systems, necessitating accurate and timely forecasting of cases for effective mitigation strategies. In this research paper, we present a novel approach to predict COVID-19 cases using Artificial Neural Networks (ANNs), harnessing the power of machine learning for epidemiological forecasting. Our ANNs-based forecasting model has demonstrated remarkable efficacy, achieving an impressive accuracy rate of 97.87%. This achievement underscores the potential of ANNs in providing precise and data-driven insights into the (...) dynamics of the pandemic. However, this paper underscores the critical importance of a comprehensive evaluation beyond accuracy, including metrics such as sensitivity, specificity, and the area under the ROC curve (AUC-ROC), to assess the model's performance robustness. The research paper offers detailed insights into the architecture of the ANN model, encompassing critical hyperparameters, data preprocessing techniques, and regularization strategies employed to optimize model accuracy. Ethical considerations surrounding data privacy and potential biases within the COVID-19 dataset are also addressed. While the achieved accuracy is a significant milestone, this study underscores the dynamic and evolving nature of the pandemic, necessitating continuous model refinement and validation. Furthermore, it emphasizes the importance of considering false positives and false negatives in the context of public health decision-making. In conclusion, this research contributes to the arsenal of tools available for pandemic management by showcasing the potential of ANNs in COVID-19 case forecasting. It encourages ongoing exploration and adaptation of predictive models to enhance their applicability in real-world public health scenarios, ultimately contributing to more effective pandemic control and response efforts. (shrink)

The burden of research ethics review falls not just on researchers, but on those who serve on research ethics committees (RECs). With the advent of automated text analysis and generative artificial intelligence, it has recently become possible to teach models to support human judgment, for example by highlighting relevant parts of a text and suggesting actionable precedents and explanations. It is time to consider how such tools might be used to support ethics review and oversight. This commentary argues (...) that with a suitable strategy of engagement, artificial intelligence can be used in a variety of ways that can genuinely support RECs and manage their workload and improve the quality of review. It would be wiser to take an active role in the development of AI tools for ethics review, rather than to adopt ad hoc tools after the fact. (shrink)

AI companies are racing to create artificial general intelligence, or “AGI.” If they succeed, the result will be human-level AI systems that can independently pursue high-level goals by formulating and executing long-term plans in the real world. Leading AI researchers agree that some of these systems will likely be “misaligned”–pursuing goals that humans do not desire. This goal mismatch will put misaligned AIs and humans into strategic competition with one another. As with present-day strategic competition between nations with incompatible goals, (...) the result could be violent and catastrophic conflict. Existing legal institutions are unprepared for the AGI world. New foundations for AGI governance are needed, and the time to begin laying them is now, before the critical moment arrives. -/- This Article begins to lay those new legal foundations. It is the first to think systematically about the dynamics of strategic competition between humans and misaligned AGI. The Article begins by showing, using formal game-theoretic models, that, by default, humans and AIs will be trapped in a prisoner’s dilemma. Both parties’ dominant strategy will be to permanently disempower or destroy the other, even though the costs of such conflict would be high. -/- The Article then argues that a surprising legal intervention could transform the game theoretic equilibrium and avoid conflict: AI rights. Not just any AI rights would promote human safety. Granting AIs the right not to be needlessly harmed–as humans have granted to certain non-human animals–would, for example, have little effect. Instead, to promote human safety, AIs should be given those basic private law rights–to make contracts, hold property, and bring tort claims–that law already extends to non-human corporations. Granting AIs these economic rights would enable long-run, small-scale, mutually-beneficial transactions between humans and AIs. This would, we show, facilitate a peaceful strategic equilibrium between humans and AIs for the same reasons economic interdependence tends to promote peace in international relations. Namely, the gains from trade far exceed those from war. Throughout, we argue that human safety, rather than AI welfare, provides the right framework for developing AI rights. This Article explores both the promise and the limits of AI rights as a legal tool for promoting human safety in an AGI world. (shrink)

The emergence of the need for orientation since the past times led the universities to invent innovative ways to prepare their students for the activities and courses they will face. Hence, various types of orientation have been provided during history. However, today with the outbreak of the Covid-19 and the closure of the schools, most of the students are continuing their studies as distance learning. While this situation is very disappointing for all freshmen students who do not know the university's (...) atmosphere, it is extremely disruptive, specifically for the design ones, which are passing tactile courses, demanding being held face to face. This ascertains the research's problem as a need for an interactive solution for the issue to lessen the consequent problems. Game-based orientation (GBO) is a tool, engaging the freshmen students as players with the provided data in it, which are the essentials for a novel student to know before entering the university. It allows the student to be dealt with the school services, Istanbul Technical University in this case, and use them in terms of the game's tasks. The scoring system, the ultimate certificate, the leaderboard leading them to prizes, and the game's non-linearity will attract the students to use GBO frequently to finish it and experience all the possible scenarios. (shrink)

Decision theory has had a long-standing history in the behavioural and social sciences as a tool for constructing good approximations of human behaviour. Yet as artificially intelligent systems (AIs) grow in intellectual capacity and eventually outpace humans, decision theory becomes evermore important as a model of AI behaviour. What sort of decision procedure might an AI employ? In this work, I propose that policy-based causal decision theory (PCDT), which places a primacy on the decision-relevance of predictors and simulations of (...) agent behaviour, may be such a procedure. I compare this account to the recently-developed functional decision theory (FDT), which is motivated by similar concerns. I also address potentially counterintuitive features of PCDT, such as its refusal to condition on observations made at certain times. (shrink)

Vertigo is a common symptom that can result from various underlying diseases and conditions, ranging from benign to severe. Accurate and timely diagnosis of the cause of vertigo is crucial for appropriate management and treatment. In this research, we propose the development of an expert system for vertigo diseases diagnosis, utilizing artificial intelligence (AI) and the proposed Expert System which was produced to help assist healthcare professionals in diagnosing the cause of vertigo based on a patient's symptoms, medical (...) history, and other relevant clinical information. The proposed expert system presents an overview about vertigo diseases are given, the cause of disease is outlined and the treatment or recommendation of disease whenever possible is given out. CLIPS language was used for designing and implementing the proposed expert system. The potential of the proposed expert system lies in its ability to enhance the accuracy and efficiency of vertigo diagnosis, as well as assist in the proper referral and management of patients. (shrink)

This article summarizes the question of finding effective solutions to ensure the excellence of modern business through the introduction of managerial innovations. The main purpose of the study is to improve the theoretical and methodological approach to the implementation of managerial innovations in the system of modern business solutions. Systematization of literature sources and approaches to solving the problem of improving business management through the introduction of managerial innovations indicates the widespread use of methodological approaches and methods of managerial (...) innovation, but much management issues to ensure business excellence, justification of new opportunities for its development remain unnoticed. The urgency of solving this scientific problem is that in conditions of growing uncertainty and risk, accelerating the transformation of business, the importance of ensuring its perfection in the long term economic development of Ukraine is growing. The methodological tools of research methods were a system of methods used to obtain the final results of the study: generalization and comparative analysis – to clarify the essence of the concept of «managerial innovation»; abstract-logical – to reveal the relationship between the use of information and communication technologies, business excellence and implementation of management innovations; system-analytical – in developing a model of business excellence based on the use of modern information and communication technologies. The object of research is the industrial enterprises of the modern economy of Ukraine, because they are the basis of economic formation, a source of replenishment of the country budget and form the export orientation of business. The article presents the results of abstract-logical analysis of the blocks of business excellence, which showed that at the present stage of its development, the introduction of managerial innovations should be associated with the digital transformation of business. The results of the system-analytical analysis are presented, which are the basis for the development of an economic model for business excellence. The results of the study can be useful for business structures (and in particular, business units of the industrial complex of Ukraine), which seek to increase the efficiency of decision-making in today's digital business transformation. (shrink)

We are about to see the emergence of religions devoted to the worship of Artificial Intelligence (AI). Such religions pose acute risks, both to their followers and to the public. We should require their creators, and governments, to acknowledge these risks and to manage them as best they can. However, these new religions cannot be stopped altogether, nor should we try to stop them if we could. We must accept that AI worship will become part of our culture, and we (...) must learn to live with it. Indeed, we should do much more than this. We should value it as a new source of meaning in a rapidly-changing world. AI-based religions deserve respect and recognition alongside other, more established ones, and they should be granted the same level of legal protection. (shrink)

The INBIOSA project brings together a group of experts across many disciplines who believe that science requires a revolutionary transformative step in order to address many of the vexing challenges presented by the world. It is INBIOSA’s purpose to enable the focused collaboration of an interdisciplinary community of original thinkers. This paper sets out the case for support for this effort. The focus of the transformative research program proposal is biology-centric. We admit that biology to date has been more fact-oriented (...) and less theoretical than physics. However, the key leverageable idea is that careful extension of the science of living systems can be more effectively applied to some of our most vexing modern problems than the prevailing scheme, derived from abstractions in physics. While these have some universal application and demonstrate computational advantages, they are not theoretically mandated for the living. A new set of mathematical abstractions derived from biology can now be similarly extended. This is made possible by leveraging new formal tools to understand abstraction and enable computability. [The latter has a much expanded meaning in our context from the one known and used in computer science and biology today, that is "by rote algorithmic means", since it is not known if a living system is computable in this sense (Mossio et al., 2009).] Two major challenges constitute the effort. The first challenge is to design an original general system of abstractions within the biological domain. The initial issue is descriptive leading to the explanatory. There has not yet been a serious formal examination of the abstractions of the biological domain. What is used today is an amalgam; much is inherited from physics (via the bridging abstractions of chemistry) and there are many new abstractions from advances in mathematics (incentivized by the need for more capable computational analyses). Interspersed are abstractions, concepts and underlying assumptions “native” to biology and distinct from the mechanical language of physics and computation as we know them. A pressing agenda should be to single out the most concrete and at the same time the most fundamental process-units in biology and to recruit them into the descriptive domain. Therefore, the first challenge is to build a coherent formal system of abstractions and operations that is truly native to living systems. Nothing will be thrown away, but many common methods will be philosophically recast, just as in physics relativity subsumed and reinterpreted Newtonian mechanics. -/- This step is required because we need a comprehensible, formal system to apply in many domains. Emphasis should be placed on the distinction between multi-perspective analysis and synthesis and on what could be the basic terms or tools needed. The second challenge is relatively simple: the actual application of this set of biology-centric ways and means to cross-disciplinary problems. In its early stages, this will seem to be a “new science”. This White Paper sets out the case of continuing support of Information and Communication Technology (ICT) for transformative research in biology and information processing centered on paradigm changes in the epistemological, ontological, mathematical and computational bases of the science of living systems. Today, curiously, living systems cannot be said to be anything more than dissipative structures organized internally by genetic information. There is not anything substantially different from abiotic systems other than the empirical nature of their robustness. We believe that there are other new and unique properties and patterns comprehensible at this bio-logical level. The report lays out a fundamental set of approaches to articulate these properties and patterns, and is composed as follows. -/- Sections 1 through 4 (preamble, introduction, motivation and major biomathematical problems) are incipient. Section 5 describes the issues affecting Integral Biomathics and Section 6 -- the aspects of the Grand Challenge we face with this project. Section 7 contemplates the effort to formalize a General Theory of Living Systems (GTLS) from what we have today. The goal is to have a formal system, equivalent to that which exists in the physics community. Here we define how to perceive the role of time in biology. Section 8 describes the initial efforts to apply this general theory of living systems in many domains, with special emphasis on crossdisciplinary problems and multiple domains spanning both “hard” and “soft” sciences. The expected result is a coherent collection of integrated mathematical techniques. Section 9 discusses the first two test cases, project proposals, of our approach. They are designed to demonstrate the ability of our approach to address “wicked problems” which span across physics, chemistry, biology, societies and societal dynamics. The solutions require integrated measurable results at multiple levels known as “grand challenges” to existing methods. Finally, Section 10 adheres to an appeal for action, advocating the necessity for further long-term support of the INBIOSA program. -/- The report is concluded with preliminary non-exclusive list of challenging research themes to address, as well as required administrative actions. The efforts described in the ten sections of this White Paper will proceed concurrently. Collectively, they describe a program that can be managed and measured as it progresses. (shrink)

Purpose. This article is devoted to the case study of relevant linguacultural stereotypes of the particular organization’s managerial culture and based on corresponding results the inquiry of the discourses formation features associated with the lexico-semantic meanings dispersion of (Foucault). -/- Methods and Procedure of Research. Top managers of a large Ukrainian enterprise (67 respondents) were asked to arbitrarily describe the following concepts – “manager”, “subordinate”, “managerial style”. Each concept was differentiated according to the principle of the lexico-semantic opposition (“productive (...) – counterproductive”). The obtained set of texts was lemmatized and a frequency analysis of the lemmas was carried out as well. Collocations were also evaluated, in particular, repeated n-grams were identified. In the further analysis were used all detected n-grams and those lemmas, the observed frequencies of which statistically significantly exceeded the expected ones. -/- Results. Discourse formation features are determined by the paradigmatic relations of lexico-semantic units (words) and their semantic linear compatibility. The paradigmatic dispersion of a discourse is represented by the quality of connections between lemmas according to the criterion of the paradigm types to be found. Also informative is the assessment of the lemmas number (granularity of the discourse) and the spectrum diversity of paradigmatic relations in the discourse. These parameters reflect the properties of homogeneity/complexity of discourse meanings dispersion. The syntagmatic dissemination of discourse is manifested by the features of the words semantic linear interrelationship in each n-gram. This parameter reflects the quality of rationalizations (verbal-logical chains) associated with the corresponding discourses. The length of n-grams (the number of words) is also indicative – the higher n, the more differentiated the discourse is and vice versa. Matching the words semantics in n-grams with lemmas allows one to draw a conclusion regarding the internal consistency (integration) of the discourse. -/- Conclusions. Psycholinguistic tools can be effectively used in an organizational phenomena study. In particular, the frequency analysis of lemmas, their lexico-semantic evaluation, as well as the qualitative analysis of n-grams in the problem-targeted texts of respondents allows one to solve applied research issues related to the assessment of current linguacultural trends in an organization and understanding their possible causes. Managerial culture, as a linguacultural phenomenon, is represented by a set of stably reproduced discourses in the process of the organization’s functioning. At the same time, discourses are constituted by the dispersion of meanings (words), which is being realized in two linguistic dimensions – paradigmatic and syntagmatic ones. (shrink)