In modern data centers, managing the distribution of workloads efficiently is crucial for ensuring optimal performance and meeting Service Level Agreements (SLAs). Load balancing algorithms play a vital role in this process by distributing workloads across computing resources to avoid overloading any single resource. However, the effectiveness of these algorithms can be significantly enhanced through the integration of advanced optimization techniques. This paper proposes an SLA-driven load balancing algorithm optimized using methods such as genetic algorithms, particle swarm (...) class='Hi'>optimization, and simulated annealing. By focusing on both resource utilization and SLA compliance, the proposed approach aims to reduce latency, improve throughput, and maximize overall system efficiency. (shrink)

The research introduces a novel framework that incorporates real-time monitoring, dynamic resource allocation, and adaptive threshold settings to ensure consistent SLA adherence while optimizing computing performance. Extensive simulations are conducted using synthetic and real-world datasets to evaluate the performance of the proposed algorithm. The results demonstrate that the optimized load balancing approach outperforms traditional algorithms in terms of SLA compliance, resource utilization, and energy efficiency. The findings suggest that the integration of optimization techniques into load balancing algorithms can significantly (...) enhance the operational efficiency of data centers, paving the way for future advancements in autonomous and self-optimizing data centers. (shrink)

In modern data centers, managing the distribution of workloads efficiently is crucial for ensuring optimal performance and meeting Service Level Agreements (SLAs). Load balancing algorithms play a vital role in this process by distributing workloads across computing resources to avoid overloading any single resource. However, the effectiveness of these algorithms can be significantly enhanced through the integration of advanced optimization techniques. This paper proposes an SLA-driven load balancing algorithm optimized using methods such as genetic algorithms, particle swarm (...) class='Hi'>optimization, and simulated annealing. By focusing on both resource utilization and SLA compliance, the proposed approach aims to reduce latency, improve throughput, and maximize overall system efficiency. The research introduces a novel framework that incorporates real-time monitoring, dynamic resource allocation, and adaptive threshold settings to ensure consistent SLA adherence while optimizing computing performance. (shrink)

In today's data-driven world, the efficient management of network resources is crucial for optimizing performance in data centers and large-scale networks. Load balancing is a critical process in ensuring the equitable distribution of data across multiple paths, thereby enhancing network throughput and minimizing latency. This paper presents a comprehensive approach to load balancing using advanced optimization techniques integrated with multipath routing protocols. The primary focus is on dynamically allocating network resources to manage the massive volume of (...) data generated by modern applications. By leveraging algorithms such as Genetic Algorithms (GA) and Particle Swarm Optimization (PSO), the proposed method efficiently distributes data across multiple paths, ensuring balanced network utilization. The combination of these algorithms with multipath routing significantly reduces congestion and improves overall network performance. (shrink)

Abstract: The objective of this study was to evaluate water productivity of alfalfa (Medicago sativa) under centre pivot irrigation system. The experimental works were conducted at three centre pivot irrigation projects (Indian, Arab Authority for Agricultural Investment and Development (AAAID) and Sedonix projects) located at Khartoum State during the period from April 2011 to April 2013. In each project, three irrigation systems were randomly selected for the study treatments. Crop water requirement was obtained using CROPWAT 8 computer model. The parameters (...) tested were Christiansen coefficient of uniformity (Cu%), distribution uniformity (Du%), Scheduling uniformity (Su) and Water productivity (kg/m3). SAS (statistical package) was used to analyze the data. The variations among means were checked by the least significant difference (LSD). The results showed that Cu%, Du%, Su and water productivity significantly affected by the management practices in different irrigated projects. Sedonix project gave the highest values of hydraulic characteristic (Cu 85%, Du 81% and Su 1.23) while AAAID project recorded the lowest values (Cu 74%, Du 70%, Su 1.43). Water productivity significantly increased in Sedonix project (0.45 kg/m3/cut) followed by Indian projects (0.38 kg/m3/cut) and AAAID which ranked the least (0.27 kg/m3/cut). It is concluded that for improvement water productivity; proper technical guidelines for system management, operation and scheduling should be followed. (shrink)

Health service consumers' satisfaction with the services they receive has been a challenge over the past decade, and this has been attributed to many factors that diverse scholars have investigated using different variables. In this study, the attitude and ethical behaviours of healthcare providers as antidotes to health service consumers' satisfaction in the Primary Health Centre at Mgbuoshimini, Port Harcourt, Nigeria, were investigated. A cross-sectional descriptive research design was used to select participants from pregnant women, nursing mothers, couples for family (...) planning, and sick patients. The data were analysed using descriptive statistical tools. The results of the grand total response values were 400 (100%) and strongly agree had 190 (47.5%), agree had 160 (40%), 390 (100%) and strongly agree had 260 (66.7%), agree had 100 (25.6%), and strongly disagree had 13 (3.3%). The overall results were strongly agreed (66.7%) and agreed (25.6%); these connote that the attitudes and ethical behaviours of the healthcare providers towards healthcare service consumers in the primary healthcare facility were poor and that healthcare providers do not execute good ethical behaviour towards health service consumers in the facility, leading to low levels of health resource consumption, low patronage image promotion, and consumers' loss of confidence in the service provider. Therefore, the government should put mechanisms in place to ensure a positive attitude and favourable ethical behaviour among healthcare providers, and individual healthcare providers should also acquire soft skills to improve their attitude and ethical behaviour. (shrink)

The Internet of Things (IoT) connects schemes, programs, data management, and operations, and as they continuously assist in the corporation, they may be a fresh entryway for cyber-attacks. Presently, illegal downloading and virus attacks pose significant threats to IoT security. These risks may acquire confidential material, causing reputational and financial harm. In this paper hybrid optimization mechanism and deep learning,a frame is used to detect the attack prevention in IoT. To develop a cybersecurity warning system in a huge (...) data set, the cybersecurity warning systems index system is first constructed, then the index factors are picked and measured, and finally, the situation evaluation is done.Numerous bio-inspired techniques were used to enhance the productivity of an IDS by lowering the data dimensionality and deleting unnecessary and noisy input. The Grey Wolf Optimization algorithm (GWO) is a developed bio-inspired algorithm that improves the efficacy of the IDS in detecting both regular and abnormal congestion in the network. The smart initialization step integrates the different pre-processing strategies to make sure that informative features are incorporated in the early development stages, has been improved. Researchers pick multi-source material in a big data environment for the identification and verification of index components and present a parallel reduction approach based on the classification significance matrix to decrease data underlying data characteristics. For the simulation of this situation, grey wolf optimization and whale optimization were combined to detect the attack prevention and the deep learning approach was presented. Utilizing system software plagiarism, the TensorFlow deep neural network is intended to classify stolen software. To reduce the noise from the signal and to zoom the significance of each word in the perspective of open-source plagiarism, the tokenization and weighting feature approaches are utilized. Malware specimens have been collected from the Mailing database for testing purposes. The experimental findings show that the suggested technique for measuring cyber security hazards in IoT has superior classification results to existing methods. Hence to detect the attack prevention in IoT process Whale with Grey wolf optimization (WGWO) and deep convolution network is used. (shrink)

This paper explores the challenges and innovations in optimizing data science workflows within cloud computing environments. It begins by highlighting the critical role of data science in modern industries and the pivotal contribution of cloud computing in enabling scalable and efficient data processing. The primary focus lies in identifying and analyzing the key challenges encountered in current data science workflows deployed in cloud infrastructures. These challenges include scalability issues related to handling large volumes of data, (...) resource management complexities in optimizing computational resources, cost management strategies to balance performance with expenses, and ensuring robust data security and privacy measures. The manuscript then delves into innovative solutions and techniques aimed at addressing these challenges. It discusses advancements such as workflow automation tools and frameworks that streamline repetitive tasks, containerization technologies like Docker and Kubernetes for efficient application deployment and management, and the utilization of serverless architectures to enhance scalability and reduce operational costs. Additionally, it explores the benefits of parallel processing frameworks such as Apache Spark and Hadoop in optimizing data processing tasks. The integration of machine learning algorithms for dynamic workflow optimization and effective data management strategies in cloud environments are also examined. Through detailed case studies and application examples across various domains, the manuscript illustrates the practical implementation and outcomes of these optimization strategies. Furthermore, it discusses emerging trends in cloud technologies, the role of AI-driven automation in enhancing workflow efficiencies, and ethical considerations surrounding data science operations in cloud computing. The manuscript concludes with a summary of findings, practical recommendations for organizations seeking to enhance their data science workflows in the cloud, and insights into future research directions to address evolving challenges. (shrink)

With the rapid development of information technology, the electricity consumption of Internet Data Centers (IDCs) increases drastically, resulting in considerable carbon emissions that need to be reduced urgently. In addition to the introduction of Renewable Energy Sources (RES), the joint use of the spatial migration capacity of IDC workload and the temporal flexibility of the demand of Electric Vehicle Charging Stations (EVCSs) provides an important means to change the carbon footprint of the IDC. In this paper, a sustainability improvement (...) strategy for the IDC carbon emission reduction was developed by coordinating the spatial-temporal dispatch flexibilities of the IDC workload and the EVCS demand. Based on the Minkowski sum algorithm, a generalized flexible load model of the EVCSs, considering traffic flow and Road Impedance (RI) was formulated. The case studies show that the proposed method can effectively increase the renewable energy consumption, reduce the overall carbon emissions of multi-IDCs, reduce the energy cost of the DCO, and utilize the EV dispatching potential. Discussions are also provided on the relationship between workload processing time delay and the renewable energy consumption rate. (shrink)

Application of the reliability of repairable systems on solving problems from constructing production systems takes an important place in the process of finding the optimal solution among the suggested system choices. The basic hypothesis when using the reliability of the repairable systems is that every machine is representing a component, a fact that is debatable when talking about technical sciences. However, considering the second assumption of the stationary process, the function of the availability is introduced. It represents the measure between (...) the reliability and the benefit of maintaining the components and the system as a whole one. An additional and the last reason for analyzing constructing machine as a whole one has an economic reason. From the aspect of the total cost and the capacity of the system, the function of the availability is catching more and more impact in the process of determinating the total cost in bill of quantities as the most important part of tender documents. Until former works, techno-economic optimisation usually ran over when choosing the system of the construction machines. In the work, there are shown the methodologies for gathering and analyzing the indicators of availabilities per unit of a company's machine park. The time of demission and reparation have been investigated among 34 components in the period of 6 years. Based on the obtained result for different conditions of machine exploitation and facilities, it is suggested the methodology of the future behaviour of the corresponding within the model optimization availability of constructing production system with the aim of eliminating extra criterion. The suggested model takes in consideration the total cost of the components when they are functional, and when they are not. This kind of approach enables the one who take choices decision of the height of profits, in the lenght of work in function of the projection of cash flow and managing with real indicators of functioning the system at the project level. Given the fact that the maintanance policy of machines is based on availability, and not on reliability of components, with the aim of maximizing the availability of different budget scenarios, a logical approach to the selection of the objective function in the terms of management of construction production systems is to minimize costs for a given availability of system constructing machinery is based on the use of historical data base with the values of the operational availability of components, conditions in which they function, in the process of forecasting the project availability for projects that follow. Ranking variant solutions is the result of the adopted function of the aim as a consequence due to enlargement methods of availability for serial parallel systems with the associated restrictions. For optimal system availability is taken a value that belongs to minimal total cost. However, it is predicted that after the end of the financial year, the real and projected indicators of system functions get compared to each other. Informational support to the proposed model is informational company system, which was built in the PHP programming language on the Linux software platform, and with data based in My SQL. The suggested model is tested on the system for the production and embedding bitumen bound materials on the specific project. Obtained results confirm the assumptions used in work. (shrink)

The National Center for Biomedical Ontology is now in its seventh year. The goals of this National Center for Biomedical Computing are to: create and maintain a repository of biomedical ontologies and terminologies; build tools and web services to enable the use of ontologies and terminologies in clinical and translational research; educate their trainees and the scientific community broadly about biomedical ontology and ontology-based technology and best practices; and collaborate with a variety of groups who develop and use (...) ontologies and terminologies in biomedicine. The centerpiece of the National Center for Biomedical Ontology is a web-based resource known as BioPortal. BioPortal makes available for research in computationally useful forms more than 270 of the world's biomedical ontologies and terminologies, and supports a wide range of web services that enable investigators to use the ontologies to annotate and retrieve data, to generate value sets and special-purpose lexicons, and to perform advanced analytics on a wide range of biomedical data. (shrink)

The first few years of the 21st century were characterised by a progressive loss of privacy. Two phenomena converged to give rise to the data economy: the realisation that data trails from users interacting with technology could be used to develop personalised advertising, and a concern for security that led authorities to use such personal data for the purposes of intelligence and policing. In contrast to the early days of the data economy and internet surveillance, the (...) last few years have witnessed a rising concern for privacy. As bad data practices have come to light, citizens are starting to understand the real cost of using online digital technologies. Two events stamped 2018 as a landmark year for privacy: the Cambridge Analytica scandal, and the implementation of the European Union’s General Data Protection Regulation (GDPR). The former showed the extent to which personal data has been shared without data subjects’ knowledge and consent and many times for unacceptable purposes, such as swaying elections. The latter inaugurated the beginning of robust data protection regulation in the digital age. Getting privacy right is one of the biggest challenges of this new decade of the 21st century. The past year has shown that there is still much work to be done on privacy to tame the darkest aspects of the data economy. As data scandals continue to emerge, questions abound as to how to interpret and enforce regulation, how to design new and better laws, how to complement regulation with better ethics, and how to find technical solutions to data problems. The aim of the research project Data, Privacy, and the Individual is to contribute to a better understanding of the ethics of privacy and of differential privacy. The outcomes of the project are seven research papers on privacy, a survey, and this final report, which summarises each research paper, and goes on to offer a set of reflections and recommendations to implement best practices regarding privacy. (shrink)

The research methodology involves data preprocessing, feature engineering, model training, and performance evaluation. We employ optimization methods such as Genetic Algorithms and Grid Search to fine-tune model parameters, ensuring robust and generalizable models. The dataset used includes patient medical records, with features like age, blood pressure, cholesterol levels, and lifestyle habits serving as inputs for the ML models. Evaluation metrics, including accuracy, precision, recall, F1-score, and the area under the ROC curve (AUC-ROC), assess the model's predictive power.

Cardiovascular diseases (CVD) represent a significant cause of morbidity and mortality worldwide, necessitating early detection for effective intervention. This research explores the application of machine learning (ML) algorithms in predicting cardiovascular diseases with enhanced accuracy by integrating optimization techniques. By leveraging data-driven approaches, ML models can analyze vast datasets, identifying patterns and risk factors that traditional methods might overlook. This study focuses on implementing various ML algorithms, such as Decision Trees, Random Forest, Support Vector Machines, and Neural Networks, (...) optimized through techniques like hyperparameter tuning, cross-validation, and feature selection to improve prediction accuracy. (shrink)

As the world grapples with the urgent need for sustainable development, the transition towards green energy stands as a critical imperative. Financing this transition poses significant challenges, requiring innovative approaches that align financial objectives with environmental sustainability goals. This review presents a conceptual framework for leveraging data-driven techniques in sustainable finance to facilitate the transition towards green energy. The proposed framework integrates principles of sustainable finance with advanced data analytics to enhance decision-making processes across the financial ecosystem. At (...) its core, the framework emphasizes the importance of harnessing vast datasets related to energy production, consumption, environmental impact, and financial performance. By leveraging machine learning algorithms and predictive modeling techniques, financial stakeholders can gain deeper insights into the risks and opportunities associated with green energy investments. Key components of the framework include data collection and aggregation, risk assessment, impact measurement, and investment optimization. Data sources range from traditional financial indicators to environmental metrics, social impact assessments, and geopolitical factors. Through comprehensive data analysis, financial institutions can assess the long-term viability and sustainability of green energy projects, while also evaluating potential social and environmental impacts. Risk assessment methodologies within the framework consider both financial risks, such as market volatility and regulatory uncertainty, and non-financial risks, such as climate change impacts and community resilience. By integrating these factors into risk models, investors can make more informed decisions that mitigate potential losses and maximize returns. Furthermore, impact measurement tools enable stakeholders to quantify the environmental and social benefits of green energy investments. By tracking metrics such as carbon emissions reduction, energy efficiency improvements, and job creation, investors can assess the contribution of their portfolios towards broader sustainability objectives. Finally, the framework incorporates investment optimization strategies that align financial goals with environmental objectives. Through portfolio diversification, asset allocation, and innovative financial instruments such as green bonds and impact investing funds, financial institutions can allocate capital more efficiently towards green energy projects. The conceptual framework presented herein offers a systematic approach to integrating data-driven methodologies into sustainable finance practices. By leveraging advanced analytics and comprehensive datasets, financial stakeholders can drive the transition towards green energy while simultaneously achieving financial returns and positive environmental outcomes. (shrink)

Advancements in cloud technologies have increased the infrastructural needs of data centers due to storage needs and processing of extensive dimensional data. Many service providers envisage anomaly detection criteria to guarantee availability to avoid breakdowns and complexities caused due to large-scale operations. The streaming log data generated is associated with multi-dimensional complexity and thus poses a considerable challenge to detect the anomalies or unusual occurrences in the data. In this research, a hybrid model is proposed that (...) is motivated by deep belief criteria and meta-heuristics. Using Search-and-Rescue—BrainStorm Optimization (SAR-BSO), a hybrid feature selection (FS) and deep belief network classifier is used to localize and detect anomalies for streaming data logs. The significant contribution of the research lies in FS, which is carried out using SAR-BSO which increases the detection power of the model as it selects the most significant variables by minimizing redundant features. The evaluation of accuracy is efficiently improved when compared with the predictable methods, such as Extract Local Outlier Factor (ELOF), Track-plus, Hybrid Distributed Batch Stream (HDBS), IForestASD, DBN, BSO-based Feature Selection with DBN, Genetic Algorithm-Deep Belief Network (GA-DBN), Mutual Information-Deep Belief Network (MI-DBN), information entropy-Deep Belief Network(I + DBN), Flat Field-Deep Belief Network (FF + DBN), African Vulture Optimization Algorithm-Deep Belief Network(AVOA + DBN), Gorilla Troop Optimizer-Deep Belief Network(GTO-DBN), and SARO-based Feature Selection with DBN. Further, the accurate detection of the anomalies in the data stream is established by the Deep Belief Neural Network (DBN) classifier. The model’s efficacy is determined using Apache, Hadoop, HDFS, Spark, and Linux datasets and evaluated against existing similar models. The model efficiency is provided using multiple evaluation metrics and is found effective. From the experimentation, the accuracy of the proposed model is found to be 93.3, 95.4, 93.6, 94.2, and 93.5% respectively for the dataset such as Apache, Hadoop, HDFS, spark, and Linux. This enhancement in accuracy is due to the selection of optimal features by the proposed SAR-BSO algorithm. (shrink)

This research examines the most important historical, political, economic, social, cultural, and religious factors before, during, and after the reign of Communism in Czechoslovakia from 1918 to 2021 and their effect on the extreme increase in atheism and decrease in Christianity, particularly Roman Catholicism, in the present-day Czech Republic. It devotes special attention to the role of the Clandestine Catholic Church (Ecclesia Silentii) and the changing policies of the Holy See vis-à-vis this Church, examining these policies' impact on the continuing (...) decline of Roman Catholicism in the Czech Republic after the collapse of Communism. The article also deals with Pope Pius XII's Secret Mandates of 1948-1950, the Second Vatican Council, and the Holy See's Ostpolitik. Scholars, who previously relied only on the views of the Czechs, blame the unprecedented drop in Christianity, the near-total destruction of the Catholic Church, and the rise in atheism on the Czechoslovak communist government's four decades of totalitarianism. Although the increase in atheism and decrease in Christianity were substantial during the era of Communism from 1948 to 1989, our data indicate that the decline in Christianity, particularly the historically predominating Roman Catholicism, did not commence with the 1948 communist coup d’état but traces its origins to the breakdown of the Austro-Hungarian Empire after the conclusion of WWI and the establishment of Czechoslovakia on October 28, 1918. What's more, this research shows that the most significant and unprecedented steep deterioration of the Christian Faith, namely Roman Catholicism, did not occur during the era of Communism but only after the Czechoslovak communist government collapsed in 1989. This massive decay did not happen even during the most extraordinary communist persecution of the Catholic Church during the era of Stalinism in Czechoslovakia. This research further finds that the Holy See's ill-advised policies and systematic, sustained, and prevalent failures in leadership, guidance, and teachings are responsible for the near destruction of the Roman Catholic Church and especially the end destruction of the Clandestine Catholic Church (Ecclesia Silentii), in the Czech and Slovak Republics after the fall of Communism. These failures furthermore contributed to the Czech Republic, the historical lands of Bohemia and Moravia that once were in the center of Christendom, degenerating into the most atheist country in Europe and the world today. (shrink)

In the last half century we have gone from storing data on 5-1/4 inch floppy diskettes to cloud and now fog computing. But one should ask why so much data is being collected. Part of the answer is simple in light of scientific projects but why is there so much data on us? Then, we ask about its “interface” through fog computing. Such questions prompt this chapter on the philosophy of big data and fog computing. After (...) some background on definitions, origins and contemporary applications, the main discussion begins with thinking about modern data collection, management, and applications from a complexity standpoint. Big data is turned into knowledge but knowledge is extrapolated from the past and used to manage the future. Yet it is questionable whether humans have the capacity to manage contemporary technological and social complexity evidenced by our world in crisis and possibly on the brink of extinction. Such calls for a new way of studying societies from a scientific point of view. We are at the center of the observation from which big data emerge and are manipulated, the overall human project being not only to create an artificial brain with an attendant mind but a society that might be able to survive what “natural” humans cannot. (shrink)

Purpose: Due to the increase in energy demand and the effects of global warming, energy-efficient buildings have gained significant importance in the modern construction industry. To create a suitable framework with the aim of reducing energy consumption in the building sector, the external walls of a residential building were considered with two criteria of global warming potential and energy consumption. -/- Design/methodology/approach: In the first stage, to achieve a nearly zero-energy building, energy analysis was performed for 37 different states of (...) thermal insulation. Then, the insulation materials’ life cycle assessment was performed. These results were used to find a set of optimal modes in the Pareto front by using non-dominated sorting genetic algorithm II multi-objective genetic algorithm. Thus, based on the data obtained from this method, it was possible to compare and choose different thermal insulation materials based on the distance from the Pareto front, reducing the environmental effects. -/- Findings: The results showed that replacing the windows was possible to save 3.24% in energy consumption. Also, selecting the proper insulation reduced energy consumption value by 63.13%. Finally, this building can save 69.31% of energy consumption compared to the base building by following the zero-energy building standard. As a result, the Pareto curve was introduced as a guide for the optimal design of the building’s wall insulation. -/- Originality/value: The proposed method provides designers with a framework for latent carbon analysis to access quickly and select optimal scenarios. It can also be used without restrictions for other decisions with different goals and criteria. (shrink)

Objective: The use of neoadjuvant chemotherapy (NACT) in breast cancer is increasing. The management of locally advanced breast cancer differs due to the approach of the center to which the patient applied and the approach of the following physician. From this point of view, we aimed to evaluate the real life data of our region. -/- Methods: The study included 106 patients treated with neoadjuvant chemotherapy in the medical oncology clinic of two different university hospitals. Association between clinicopathological (...) features and pathological complete response (pCR) were analyzed. -/- Results: The pCR rate was higher in patients with negative hormone receptors and this difference was statistically significant (p:0.000). The rate of obtaining pCR increased as the NACT duration increased, and this increase was statistically significant. The mean NACT duration applied to the patients with pCR was 5.48 ± 0.22 months, and the mean NACT duration for those who could not obtain pCR was 5.01 ± 0.1 months (p:0.041). The recurrence rate of patients with pCR was 11.1%, while the recurrence rate of patients who could not obtain pCR was 31.6% (p:0.04). -/- Conclusions: Pathological response to chemotherapy is an important factor in determining prognosis. There appears to be a need for new biomarkers that allow the prediction of pCR and long-term outcomes. (shrink)

This study sought to investigate the Human Resource and Management (HRM) Program of a preschool hereinafter referred to as the Early Years Learning Center (EYLC) in Mandaluyong City for purposes of this research study. This is a qualitative case study that delved particularly into the issue of employee retention, especially of seasoned teachers and staff of the subject learning center. It used the interview method to generate an in-depth analysis as it revisited its HRM Program. To triangulate the (...) data gathered, documents from websites and social media as well as artifacts were also utilized. There is a dearth of research on the Human Resource and Management Program in preschool education. Most studies are from India and China. In terms of the HRM Program in education, SWOT analysis was frequently used to help improve the program. There were negligible sources that used the balanced scorecard at the preschool level. Hence, a combination of the SWOT analysis and the Balanced Scorecard method were utilized - the SWOT Analysis to determine the problems the learning center faces vis-à-vis its HRM Program, and the balanced scorecard in the search for a solution or strategy to help solve the problem. Based on the study, these combined tools proved to be effective in revisiting the HRM Program of schools. After interviewing the Directress of EYLC, findings disclosed that to be able to improve the retention of employees in the learning center, the focus should be given to the hiring policies and procedures keeping in mind the job security of its targeted employees. This brings forward concerns over advertising schemes utilizing different venues and platforms as well as issues involving the provision of seasoned employees with a retirement package, comprehensive Health Management Organization (HMO), and a continuing professional development program. (shrink)

The overall goal of the approach developed in this paper is to estimate the likelihood of a given kinetic kill scenario between hostile spacebased adversaries using the mathematical framework of Complex Conceptual Spaces Single Observation. Conceptual spaces are a cognitive model that provide a method for systematically and automatically mimicking human decision making. For accurate decisions to be made, the fusion of both hard and soft data into a single decision framework is required. This presents several challenges to this (...) data fusion framework. The first is the challenge involved in handling multiple complex terminologies, which is addressed by drawing on a set of Space Domain Ontologies. Another challenge is the complex combinatorics involved when considering all possible feature combinations. This can be mitigated by using integer linear programming optimization that is outlined by the Complex Conceptual Spaces Single Observation mathematical model framework. A third challenge is the complicated physics that is involved in a spacecraft collision that must be addressed to obtain a better understanding of threat assessment. Overcoming these various challenges allows for a quantitative ranking for the potential of a kinetic kill collision across multiple spacecraft pairs. In addition to overcoming these challenges this paper will break down threat assessment into four domains and identify a ranking of threat both for each individual domain and for the four domains combined. Simulation results are shown to verify the developed concepts. (shrink)

This contribution is an invitation to consider the professional situation in a way that goes beyond a social meaning or a subjective approach. Understood as an intermediate object, the professional situation is studied as a result of tension between invariance and perspective. The data centre on the activity of counselors whose role is to guide farmers confronted with agro-environmental standards. This text brings into question on one hand the attributions qualifying the situation as «professional» and that attest to a (...) form of invariance; and on the other, the counselors’ activity of understanding the «perspective» of the farmers with whom they are in relation. Finally, the article suggests three avenues for future work on the notion of professional situation. Cette contribution invite à considérer la situation professionnelle au-delà d’une acception sociale d’un côté et d’une approche subjective d’autre part. Entendue comme objet intermédiaire, la situation professionnelle est étudiée comme résultant d’une tension entre invariance et perspective. Les données portent sur l’activité de conseillers dont le rôle est d’accompagner les agriculteurs confrontés aux normes agro-environnementales. On s’attache à remettre en question d’une part les attributions qualifiant la situation de « professionnelle » qui témoignent d’une forme d’invariance; d’autre part, l’activité de saisie par les conseillers de la « perspective » des agriculteurs avec qui ils sont en relation. Enfin, on propose trois lignes de travail à venir sur la notion de situation professionnelle. (shrink)

The concept and the main stakeholders of E-learning ecosystem are investigated at the article. University is regarded as a center of such ecosystem due to skilled knowledge providers and technical equipment availability. Studying different cases authors prove that higher educational institution plays a driver role in different projects, especially social start-up projects. Different models of partnership between universities and other stakeholders are considered. In authors’ opinion, one of the most perspective collaborative projects are in frame of “students – schoolchildren” (...) due to effective knowledge transfer. Such kind of cooperation can fill the gap between school and university education. Particularly the framework of e-learning project in financial literacy for orphans totally prepared and executed by students is considered. The ICT tools are very actively used in these initiatives aiming to develop high demanded skills as critical thinking, creativity and complex problem solving. As a result, schoolchildren are receiving a toolkit for basic data analysis, developing own business plan and adopting evidencebased decisions. The authors prove that E-learning projects are able to improve both information and financial literacy and also increase the level of inclusivity into education of weak and socially unprotected children from orphanages. The article will be useful for the representatives from universities, orphanages, companies who eager to boost the level of their social responsibility. The aim of the research is to reveal different types of cooperation under social projects between higher educational institutions and other stakeholders, using wide range of ICT e-learning tools as well. In addition, to develop a set of recommendations to the universities of collaboration roadmap. (shrink)

During the last decades, mankind has suffered from devastation caused by natural disasters and technological accidents of increased frequency and children are among the most vulnerable population group, especially those attending school during times of disaster. The importance of education in promoting and enabling disaster risk reduction has already been identified by researchers. In this paper “Disaster Date Center (DDC)” is presented, a new, powerful and innovative tool for the study of and education on disasters. One noteworthy application of (...) DDC is the educational and public awareness tool in the form of e-learning. (shrink)

This paper delves into the integration of optimization techniques within ABKS to enhance search efficiency and data security in cloud storage environments. We explore various optimization strategies, such as index compression, query processing enhancement, and encryption optimization, which aim to reduce computational overhead while maintaining robust security measures. Through a comprehensive analysis, the paper illustrates how these techniques can significantly improve the performance of cloud storage systems, ensuring both security and usability. Experimental results demonstrate that optimized (...) ABKS not only accelerates search queries but also reduces storage costs, making it a viable solution for modern cloud storage challenges. Future research directions include exploring advanced machine learning algorithms for predictive search optimizations and further improving the resilience of ABKS against emerging security threats. (shrink)

In recent years, sequencing technologies have enabled the identification of a wide range of non-coding RNAs (ncRNAs). Unfortunately, annotation and integration of ncRNA data has lagged behind their identification. Given the large quantity of information being obtained in this area, there emerges an urgent need to integrate what is being discovered by a broad range of relevant communities. To this end, the Non-Coding RNA Ontology (NCRO) is being developed to provide a systematically structured and precisely defined controlled vocabulary for (...) the domain of ncRNAs, thereby facilitating the discovery, curation, analysis, exchange, and reasoning of data about structures of ncRNAs, their molecular and cellular functions, and their impacts upon phenotypes. The goal of NCRO is to serve as a common resource for annotations of diverse research in a way that will significantly enhance integrative and comparative analysis of the myriad resources currently housed in disparate sources. It is our belief that the NCRO ontology can perform an important role in the comprehensive unification of ncRNA biology and, indeed, fill a critical gap in both the Open Biological and Biomedical Ontologies (OBO) Library and the National Center for Biomedical Ontology (NCBO) BioPortal. Our initial focus is on the ontological representation of small regulatory ncRNAs, which we see as the first step in providing a resource for the annotation of data about all forms of ncRNAs. (shrink)

Education on authorship was delivered and evaluated by pre test and post test questionnairen on 30 post graduate medical students at the Department of Anestheology, Dhaka Medical College, Bangladesh between January and June 2019 to understand the knowledge, skill and attitude of post graduate medical students on authorship. Result: Before intervention, majority (60%) of the students felt that who perform the research work should be the author of the article. But 40% students were divided and felt that who advised the (...) design of the research (20%), who provided the grants (10%) and Chief/Head of the division (10%) should be the author of the article respectively. Maximum (70%) respondents did not know the order of authorship. Of 40% respondent felt that the PI should be always the first author and 40% don’t know the answer. Half of the students (50%) felt that keeping honorary author increased the opportunity of acceptance of publication. Of 36.7% and 13.3% of students felt that keeping honorary author increased the article’s value and made good relation to them to get some extra facility from them respectively. Of 20% participants were pressurized by lab head/head of department for inclusion of their name as an author. Half of the (56.7 %) respondents felt that the author’s contribution should be stated in the article. Only few 4 (13.3%) respondents said that their institute had guideline for authorship. However, after education 100% of students felt that who perform the research work should be only the author of the article. All (100%) respondents understood the order of authorship. Most of the students (86%) felt that PI should be always the first author. Of 100% respondent felt supervisor of the research should be the last author. All students (100%) felt author’s contribution should be mentioned in the article. All (100%) students did not want to include as author those who help in research design and secured grant; and they did not like to keep honorary author in their article. All (100%) students expressed that their institute had no guideline for authorship. After intervention, three groups of students were asked to write one page of article on Anesthesiology. Interestingly, they did not include any name in the author by line who were not participate or had any contribution in the writing. Conclusion: The comparative data between pre- and post-text have highlighted a general lack of understanding of the basic concept of authorship ethics which significantly improved after the intervention. The results also indicate that the education on authorship improved the awareness of postgraduate medical students in a particular centre. (shrink)

In this paper an Artificial Neural Network (ANN) model, for predicting the category of a tumor was developed and tested. Taking patients’ tests, a number of information gained that influence the classification of the tumor. Such information as age, sex, histologic-type, degree-of-diffe, status of bone, bone-marrow, lung, pleura, peritoneum, liver, brain, skin, neck, supraclavicular, axillar, mediastinum, and abdominal. They were used as input variables for the ANN model. A model based on the Multilayer Perceptron Topology was established and trained using (...) data set which its title is “primary tumor” and was obtained from the University Medical Centre, Institute of Oncology, Ljubljana, Yugoslavia Test data evaluation shows that the ANN model is able to correctly predict the tumor category with 76.67 % accuracy. (shrink)

Arguments from disagreement often take centre stage in debates between competing semantic theories. This paper explores the theoretical basis for arguments from disagreement and, in so doing, proposes methodological principles which allow us to distinguish between legitimate arguments from disagreement and dialectically ineffective arguments from disagreement. In the light of these principles, I evaluate Cappelen and Hawthorne's [2009] argument from disagreement against relativism, and show that it fails to undermine relativism since it is dialectically ineffective. Nevertheless, I argue that an (...) alternative challenge to relativism based on disagreement is available. More generally, I argue that semantic theory is not answerable to data stemming from ‘loaded’ philosophical principles regarding the nature of disagreement. Rather, semantic theorists will exhaust their dialectical responsibilities regarding disagreement if they can demonstrate consistency with a minimal account of the concept. (shrink)

In the modern digital era, cloud storage has become an indispensable service due to its scalability, accessibility, and cost-effectiveness. However, with the vast amount of sensitive information stored on cloud platforms, ensuring data security and privacy remains a critical challenge. Traditional encryption techniques, while secure, often hinder efficient data retrieval, especially when using keyword searches. To address this, attribute-based keyword search (ABKS) offers a promising solution by allowing secure, fine-grained access control and efficient keyword searches over encrypted (...) class='Hi'>data. This paper delves into the integration of optimization techniques within ABKS to enhance search efficiency and data security in cloud storage environments. We explore various optimization strategies, such as index compression, query processing enhancement, and encryption optimization, which aim to reduce computational overhead while maintaining robust security measures. Through a comprehensive analysis, the paper illustrates how these techniques can significantly improve the performance of cloud storage systems, ensuring both security and usability. Experimental results demonstrate that optimized ABKS not only accelerates search queries but also reduces storage costs, making it a viable solution for modern cloud storage challenges. Future research directions include exploring advanced machine learning algorithms for predictive search optimizations and further improving the resilience of ABKS against emerging security threats. (shrink)

Goethe carried out an enormous number of experiments before criticizing Newton's theory of light and colours in the Farbenlehre (1810). He managed to show that Newton's reasoning is based on a rather narrow choice of experiments, in which parameters such as the distance between the prism and the screen are fixed arbitrarily: Newton's famous spectrum (with its green centre) occurs only at a specific distance. Once you reduce the distance, the green centre disappears, and you see the two border spectra (...) instead. Newton can of course explain these border spectra; but things can be explained just as well the other way around: Then you start with a theory based on the two border spectra in order to derive the Newtonian spectrum. Both accounts fit many data (available in Newton and Goethe's days) equally well. Thus by insisting that the step to theory is not forced upon us by "reason and experiments" alone (as Newton would have it), Goethe revealed our own free, creative contribution to theory construction. And surprisingly, his theory of the prismatic colours seems no worse off than Newton's, even taking into account additional criteria of theory choice, such as simplicity or elegance. (shrink)

According to sentimental perceptualism, affect grounds evaluative or normative knowledge in a similar way to the way perception grounds much of descriptive knowledge. In this paper, we present a novel challenge to sentimental perceptualism. At the centre of the challenge is the assumption that if affect is to ground knowledge in the same way as perception does, it should have a function to accurately represent evaluative properties, and if it has that function, it should also have it in its future-directed (...) imaginative use. As the data on affective forecasting errors indicates, however, the affect system does not have that function. As a result, it is doubtful if affect can do the kind of knowledge-grounding work that sentimental perceptualism assumes it does. (shrink)

I recently had the honour of collaborating with Dr. Quan-Hoang Vuong—one of the most important figures in contemporary Vietnamese social sciences and founder of the Centre for Interdisciplinary Social Research at the Phenikaa University in Hanoi, Vietnam—in a journal article titled ‘Kingfisher: Contemplating the connection between nature and humans through science, art, literature, and lived experiences’. -/- The central message of the article was that in order to protect nature, we need compassion because data alone is insufficient. Our compassion (...) can be shaped by connecting with the natural world through several mediums. This work was based on Vuong’s accumulated thoughts, lived experiences and childhood memories. (shrink)

The research outlines a workflow that incorporates data collection, preprocessing, model training, and optimization. Real-world datasets from retail and e-commerce sectors are utilized to validate the proposed methodology, showcasing substantial improvements in model performance. The results indicate that optimized models not only provide better predictions of consumer behaviour but also enhance customer segmentation and targeting strategies. The study concludes with recommendations for future research, including the exploration of hybrid optimization techniques and the application of these methods in (...) real-time analytics. (shrink)

Consumer behavior analytics has become a pivotal aspect for businesses to understand and predict customer preferences and actions. The advent of machine learning (ML) algorithms has revolutionized this field by providing sophisticated tools for data analysis, enabling businesses to make data-driven decisions. However, the effectiveness of these ML algorithms significantly hinges on the optimization techniques employed, which can enhance model accuracy and efficiency. This paper explores the application of various optimization techniques in consumer behaviour analytics using (...) machine learning algorithms. By focusing on the optimization of key parameters, the study aims to improve the predictive power of models and reduce computational costs. (shrink)

This paper explores the interaction of well-motivated (if controversial) principles governing the probability conditionals, with accounts of what it is for a sentence to be indefinite. The conclusion can be played in a variety of ways. It could be regarded as a new reason to be suspicious of the intuitive data about the probability of conditionals; or, holding fixed the data, it could be used to give traction on the philosophical analysis of a contentious notion—indefiniteness. The paper outlines (...) the various options, and shows that ‘rejectionist’ theories of indefiniteness are incompatible with the results. Rejectionist theories include popular accounts such as supervaluationism, non-classical truth-value gap theories, and accounts of indeterminacy that centre on rejecting the law of excluded middle. An appendix compares the results obtained here with the ‘impossibility’ results descending from Lewis ( 1976 ). (shrink)

Introduction: the objective of the investigation is to analyse the informational operating-mode of the brain and to extract conclusions on the structure of the informational system of the human body and consciousness. Analysis: the mechanisms and processes of the transmission of information in the body both by electrical and non-electrical ways are analysed in order to unify the informational concepts and to identify the specific essential requirements supporting the life. It is shown that the electrical transmission can be described by (...) typical YES/NO (all or nothing) binary units as defined by the information science, while the inter and intra cell communication, including within the synaptic junction, by mechanisms of embodiment/disembodiment of information. The virtual received or operated information can be integrated in the cells as matter-related information, with a maximum level of integration as genetically codified info. Therefore, in terms of information, the human appears as a reactive system changing information with the environment and between inner informational subsystems which are: the centre of acquisition and storing of information (acquired data), the centre of decision and command (decision), the info-emotional system (emotions), the maintenance informational system (matter absorption/desorption/distribution), the genetic transmission system (reproduction) and info-genetic generator (genetically assisted body evolution). The dedicated areas and components of the brain are correlated with such systems and their functions are specified. Result: the corresponding cognitive centres projected into consciousness are defined and described according to their specific functions. The cognitive centres, suggestively named to appropriately include their main characteristics are detected at the conscious level respectively as: memory, decisional operation (attitude), emotional state, power/energy status and health, associativity and offspring formation, inherited predispositions, skills and mentality. The near-death and religious experiences can be explained by an Info-Connection pole. Conclusion: consciousness could be fully described and understood in informational terms. (shrink)

Objective: To examine the current ethical review process of ethics committees in a non-pharmacological trial from the perspective of a clinical investigator.Design: Prospective collection of data at the Study Centre of the German Surgical Society on the duration, costs and administrative effort of the ERP of a randomised controlled multicentre surgical INSECT Trial between November 2003 and May 2005.Setting: Germany.Participants: 18 ethics committees, including the ethics committee handling the primary approval, responsible overall for 32 clinical sites throughout Germany. 8 (...) ethics committees were located at university medical schools and 10 at medical chambers. Duration was measured as days between submission and receipt of final approval, costs in euros and administrative effort by calculation of the product of the total number of different types of documents and the mean number of copies required .Results: The duration of the ERP ranged from 1 to 176 days. The median duration was 26 days at MSUs compared with 34 days at medical chambers. The total cost was €2947. 1 of 8 ethics committees at universities and 8 of 10 at medical chambers charged a median fee of €162 . The administrative effort for primary approval was 30. Four ethics committees required a higher administrative effort for secondary approval .Conclusion: The ERP for non-pharmacological multicentre trials in Germany needs improvement. The administrative process has to be standardised: the application forms and the number and content of the documents required should be identical or at least similar. The fees charged vary considerably and are obviously too high for committees located at medical chambers. However, the duration of the ERP was, with some exceptions, excellent. A centralised ethics committee in Germany for multicentre trials such as the INSECT Trial can simplify the ERP for clinical investigators in and outside the country. (shrink)

Intergovernmental relation is an interaction among different levels of government. Intergovernmental relation is often times conflict-ridden, and the extent of the conflict depends on how they are managed by the actor operating at the government levels. This study examines conflict management in intergovernmental relation in Nigeria. The content analysis method would be used. This will be carried out by analyzing data obtained from extant literature on the subject matter. This paper found that intergovernmental conflicts mainly borders on tax jurisdiction (...) and revenue allocation. Other areas of conflict were found to include domination by the centre of other units, as well as, parallel and vertical misunderstanding among units on administrative, legal, social and economic matters. It was suggested that levels of government should introduce such method as discussion, integration, good management of communication in other to attain a peaceful intergovernmental relations regime. (shrink)

This paper focuses on the discipline of history, its methods, subject, and output. A brief overview of contemporary analytic philosophy of history is provided, followed by critical discussion of historical realism. It is argued that the insistence on the idea that historians inquire into the real past and that they refer to the actual past entities, events, or agents is widely open to sceptical objections. The concept of an abstract historical chronicle of past events which are explained or retold by (...) historians is identified as misleading. The idea of historical antirealism is then introduced. It is argued that in the centre of historian’s attention are present phenomena that are identified as historical evidence and require historical explanation. Historical explanation consists of constituting an historical past—a fictional model that accounts for present data. The identification process of historical evidence and the discursive nature of historical enterprise are analysed and accompanied by several concrete examples. According to historical antirealism, historians are not interested in the real past, but in the present empirical data. In their pursuit of historical knowledge, they produce fictional models—an historical past. Lastly, several common caveats against historical antirealism are addressed. The historical antirealism is presented as a viable fictionalist account of the historical inquiry that is capable of avoiding sceptical attacks on historical method and it is argued that antirealism allows history to retain its worth as a distinctive kind of scientific discipline. (shrink)

The modern computer environment has moved past the local data center with a single entry and exit point to a global network comprising many data centers and hundreds of entry and exit points, commonly referred as Cloud Computing, used by all possible devices with numerous entry and exit point for transactions, online processing, request and responses traveling across the network, making the ever complex networks even more complex, making traversing, monitoring and detecting threats over such an environment (...) a big challenge for Network forensic and investigation for cybercrimes. It has demanded in depth analysis using network tools and techniques to determine how best information can be extracted pertinent to an investigation. Data mining technique providing great aid in finding relevant clusters for predicting unusual activities, pattern matching and fraud detection in an environment, capable to deal with huge amount of data. The concept of network forensics in cloud computing requires a new mindset where some data will not be available, some data will be suspect, and some data will be court ready and can fit into the traditional network forensics model. From a network security viewpoint, all data traversing the cloud network backplane is visible and accessible by the cloud service provider. It is not possible to think now that one physical device will only have one operating system that needs to be taken down for investigation. Without the network forensics investigator, understanding the architecture of the cloud environment systems and possible compromises will be overlooked or missed. In this paper, we focus on the role of Network Forensic in a cloud environment, its mapping few of the available tools and contribution of Data Mining in making analysis, and also to bring out the challenges in this field. (shrink)

The concepts of the origin of the genetic code and the definitions of life changed dramatically after the RNA world hypothesis. Main narratives in molecular biology and genetics such as the “central dogma,” “one gene one protein” and “non-coding DNA is junk” were falsified meanwhile. RNA moved from the transition intermediate molecule into centre stage. Additionally the abundance of empirical data concerning nonrandom genetic change operators such as the variety of mobile genetic elements, persistent viruses and defectives do not (...) fit with the dominant narrative of error replication events (mutations) as being the main driving forces creating genetic novelty and diversity. The reductionistic and mechanistic views on physico-chemical properties of the genetic code are no longer convincing as appropriate descriptions of the abundance of non-random genetic content operators which are active in natural genetic engineering and natural genome editing. (shrink)

A World of Muscle, Bone & Organs: Research and Scholarship in Dance is an e-book exploring contemporary ideas and themes in the research and practice of dance. It contains 23 chapters written by researchers at the Centre for Dance Research (C-DaRE), Coventry University, and is divided into six sections: Spaces of Practice, Philosophy, Communities, Politics, Data and Thinking, and Epistemology.

REPRODUÇÃO ANIMAL: TRANSFERÊNCIA DE EMBRIÕES EM ANIMAIS, E A INDÚSTRIA DE EMBRIÕES NO BRASIL -/- ANIMAL BREEDING: EMBRYO TRANSFER IN ANIMALS, AND THE EMBRYO INDUSTRY IN BRAZIL Apoio: Emanuel Isaque Cordeiro da Silva Departamento de Zootecnia da UFRPE E-mail: [email protected] WhatsApp: (82)98143-8399 -/- 1. INTRODUÇÃO A técnica da inseminação artificial tornou possível aumentar o impacto na descendência de touros geneticamente superiores em termos de produção láctea das filhas. Com a transferência de embriões é possível aumentar o impacto da fêmea sobre (...) a população das filhas. A transferência de embriões data de 1890, ano em que Heape obteve o nascimento de coelhos transferindo ovócitos fecundados de uma fêmea para outra. A partir de 1930, é repetida uma série de experiências para desenvolver a técnica e aplicá-la em ovinos, caprinos (1934) e bovinos (1951) como espécies mais idôneas para a reprodução. A Inglaterra e os Estados Unidos estabeleceram as bases para o comércio de embriões durante os anos sessenta e setenta. De forma resumida, a transferência de embriões implica na estimulação da produção de ovócitos mediante a aplicação de hormônios: cerca de 6-8 dias após a cobrição dessas fêmeas ou da sua inseminação artificial, os óvulos fertilizados são extraídos dos órgãos genitais da fêmea doadora por perfusão ou lavagem com soluções biológicas controladas e testadas, originando-se uma deposição dos gametas fecundados nas fêmeas receptoras que serão encarregadas de levar adiante a gestação e o parto sem influência sobre as produções do novo indivíduo. 2. MANEJO DAS FÊMEAS DOADORAS É relativamente fácil obter um embrião, uma vez que pode origina-se a partir do cio natural das vacas cíclicas. No entanto, a fim de otimizar a técnica, o normal é «superovular» a fêmea doadora e obter um número superior de gametas fecundadas após cada lavagem ou perfusão das genitais. A maioria das fêmeas doadoras são tratadas com gonadotrofinas (PMSG) ou com hormônios estimuladores da foliculogênese (FSH). Estes hormônios invertem a atresia normal de folículos permitindo uma maturação, que em condições normais não se realizaria. O mecanismo exato do funcionamento destas hormonas não é totalmente claro. A superovulação multiplica por um fator de 10 o número de ovócitos recuperados no caso das vacas, ovelhas e cabras, mas apenas por um fator 2 ou 3 no caso das porcas. Existe um acordo geral sobre a utilização das gonadotrofinas; a PMSG deve ser aplicada durante a transição da fase luteica para a folicular, ou seja, no 16º dia do ciclo. As doses de gonadotrofinas variam entre 1500 e 3000 UI em bovinos, aumentando a resposta e a variabilidade individual com o aumento da dose. A resposta ao tratamento varia de acordo em função de diversos fatores. Neste contexto, merecem especial atenção a espécie, a raça, a época e a conformação corporal do animal, bem como o lote de fabricação da preparação hormonal (quadro 7.1). Estudos demonstram que, nos bovinos, as raças de corte respondem melhor ao tratamento do que as raças leiteiras. Tabela 1: Doses de gonadotrofinas em UI -/- Espécie Dia do ciclo Crescimento folicular_ ___ PMSG FSH Ovulação _____ PMSG FSH Bovinos 8 – 10 1500 – 3000 20 – 50 1500 – 2000 75 – 200 Caprinos 16 – 17 1000 – 1500 12 – 20 1000 – 1500 50 – 75 Ovinos 12 – 14 1000 – 2000 12 – 20 1000 – 1500 50 – 75 Suínos 15 – 17 750 – 1500 10 – 20 500 – 1000 25 – 50 Coelhos — 25 – 75 2 – 3 25 – 75 2 – 3 Fonte: HAFEZ, 2004. O FSH também é utilizado para superovulação em várias espécies. Nos ovinos, injetam-se 2 mg desta hormona 12 horas antes da retirada das esponjas, aplicando-se mais três injeções, com um intervalo de 12 horas, até 24 horas após a retirada das esponjas, o que corresponde a um total de 8 mg de FSH injetados por tratamento e animal. Às vezes, e dependendo do país, existem dificuldades para a obtenção desse hormônio em condições de pureza adequada para que o tratamento proporcione o resultado esperado. Nas vacas dadoras devem ter passado mais de 50 dias após o último parto: também ser animais cíclicos, encontrar-se num nível nutricional elevado e em aumento, sem deficiências especificas alimentares. Existe uma indicação de suplementação das fêmeas doadoras com minerais essenciais antes do tratamento. 3. OBTENÇÃO DE EMBRIÕES Uma vez as fêmeas doadoras inseminadas, entre o sexto e o oitavo dia, procede-se a coleta dos embriões. Para isso, atualmente se utilizam cateteres de obtenção transcervical (tipo Foley, Rusch. etc.) munidos de uma bola insuflável na sua extremidade que permite criar um compartimento estanque na parte distal do córneo uterino e proceder ao arrasto dos embriões ali localizados. Para obter esta «lavagem» utiliza-se uma solução aquosa tamponada: o meio mais frequentemente utilizado é o tampão fosfato salino (PBS: pH = 7; PO = 280 - 290 mOsm/kg) suplementado com antibióticos e proteínas. Depois de recuperado o meio de lavagem, os embriões devem ser isolados do volume total, avaliados segundo critérios do Manual da Sociedade Internacional de Transferência de Embriões de acordo com seu estado de desenvolvimento. Código numérico para determinar o grau de desenvolvimento embrionário: N° 1: ovócito não fertilizado ou embrião de uma célula (1 dia). N° 2: Identifica embriões com 2 a 16 células (2-4 dias). N° 3: Identifica mórulas adiantadas (5-6 dias). N° 4: Identifica mórulas compactas de 6 dias de idade. N° 5: blastocisto adiantado (7 dias). N° 6: blastocisto (7-8 dias). N° 7: blastocisto expandido (8-9 dias). N° 8: blastocisto eclodido (9 dias) a partir do nono ou décimo dia o blastocisto já está fora da zona pelúcida. Além da classificação por estado de desenvolvimento, a referida Sociedade Internacional estabeleceu uma categorização dos embriões com base na qualidade dos mesmos. Assim os denomina: 1: excelente; 2: bom; 3: regular; 4: degenerado. Segundo as investigações de diversos autores especialistas no tema não devem ser transferidos embriões que não tenham sido classificados como excelentes ou bons. A obtenção dos embriões pode ser realizada em uma clínica, em unidades móveis especializadas, ou na própria fazenda. Em todo o caso, a doadora não deve apresentar quaisquer sintomas clínicos de doença, sendo esta responsabilidade direta do veterinário. O rebanho de onde provém a doadora deve estar livre de medidas cautelares sanitárias. Os técnicos devem estar adequadamente limpos e preparados para esta atuação, em um lugar tranquilo e que permita a colocação de equipamentos e material em condições limpas e seguras. 4. TÉCNICAS DE TRANSFERÊNCIA DE EMBRIÕES Recomenda-se que os embriões sejam transferidos o mais rápido possível depois da recuperação. A fêmea receptora deve apresentar um ambiente uterino o mais semelhante possível ao da fêmea doadora. Isto quer dizer que a receptora também será mantida num sistema de sincronização para que coincida o mais possível o estágio de desenvolvimento embrionário com seu correspondente estado uterino. A margem de assincronia para evitar efeitos indesejáveis é de ± 24 horas. Os métodos hormonais de sincronização são análogos aos das doadoras. As técnicas para a deposição dos embriões no seu novo habitat podem ser igualmente cirúrgicas e não cirúrgicas, mas devido aos problemas do uso de anestésicos em técnicas cirúrgicas, as transferências foram direcionadas para modelos não-cirúrgicos ou transcervicais. Este método é baseado na utilização do colo uterino de forma análoga como é realizada na inseminação artificial. Devido às relações entre o embrião e o ovário, as porcentagens de fertilidade são aumentadas ao serem depositadas no corno ipsilateral no ovário que se encontra ativo. A utilização desta técnica implica na obtenção de mais fêmeas gestantes. O uso de novilhas como fêmeas receptoras aumenta também a taxa de gestações a partir de uma maior facilidade de manejo, uniformidade na resposta hormonal e um custo mais baixo. O fator humano ou habilidade do técnico que realiza esta técnica também constitui um fator que influencia decisivamente no êxito da transferência, encontrando-se variações de 20 a 60% devidas a este fator. 5. CONTROLES SANITÁRIOS Com a utilização da inseminação artificial, verificou-se que, embora as tecnologias reprodutivas colaborativas fossem mais avançadas em termos de técnicas destinadas a aumentar a produtividade individual, da mesma forma, podem constituir um perigo de contaminação e de dispersão de doenças estrangeiras para o grupo ou rebanho para onde são transferidos os novos genes. Neste contexto, a transferência embrionária (TE) deve realizar-se tendo em conta os riscos que pode implicar uma manipulação inadequada. Uma vez mais, a Sociedade Internacional (IETS) na Reunião Regional da OIE (Oficina Internacional de Epizootias) estabeleceu as normas em 1985 para que a TE pudesse ser utilizada como meio para controle de doenças na pecuária. Para que a utilização da TE se realize sem risco para a saúde, é necessário ter em conta um certo número de regras e condições específicas que evitem os riscos de contaminação. O embrião está separado do meio externo por três barreiras de proteção: o corpo da mãe, o útero por si só e a terceira, e mais importante, pela zona pelúcida, a qual nos animais domésticos tem demonstrado ser totalmente impermeável a qualquer elemento patogênico, desde que fique intacta. Portanto, o risco de contaminação dos embriões pode vir por duas vias diferentes: a) Fatores extrínsecos - por invasão dos agentes patogênicos na cavidade uterina principalmente. Isto está relacionado com o estado sanitário médio do país, região ou rebanho de origem. b) Fatores intrínsecos - Segundo Thibier podemos considerar diferentes fontes potenciais de contaminação, que segundo o risco sanitário se classificam nas seguintes ordens: 1° Zigoto. 2° Penetração. 3° Absorção. 4° Armazenamento. 5° Exame. 6° Transferência. Os esforços para que os embriões se tornem livres de contaminação devem ser semelhantes aos que são efetuados com os animais vivos e com as doses seminais. O momento mais perigoso encontra-se entre a coleta das células fecundadas e a sua deposição, após seu exame, no trato reprodutivo da receptora. As condições em que o referido processo deve ser realizado encontram-se detalhadas no manual da Sociedade Internacional de Transferência de Embriões (IETS). 6. REGRAS DA IETS A transferência de embriões é a via mais segura para a troca de genes. No entanto, os técnicos devem esforçar-se por manter todas as regras e normas sanitárias para que a coleta e a manipulação dos embriões se realizem sob condições de absoluta garantia higiênica e sanitária. A transferência embrionária implica, pela primeira vez na história da medicina veterinária, que a vigilância sanitária não se aplica estritamente ao animal, uma vez que, na sua fase "in vitro", está inteiramente sob o controle do técnico. Por conseguinte, não haverá futuro para este tipo de biotecnologia se, paralelamente, não houver um elevado nível de garantia de que não «servirá» para não disseminar ou difundir doenças. As conclusões da Sociedade Internacional de Transferência de Embriões (IETS) na sua reunião anual de 14 de Janeiro de 1992 estabelecem, tendo em conta a revisão efetuada em 1991 pela Subdireção de Investigação e pelo Comitê de Importação e Exportação, uma classificação das doenças. Esta classificação corresponde às seguintes categorias: Categoria 1 - Doenças ou agentes de doenças para as quais foram recolhidas provas suficientes para afirmar que o risco de transmissão é negligenciável, desde que os embriões sejam corretamente manipulados entre a coleta e a transferência: a) Leucose bovina enzoótica. b) Febre aftosa (bovinos). c) Língua azul (bovinos). d) Brucelose bovina. e) Rintraqueíte infecciosa bovina. f) Doença de Aujeszky. Categoria 2 - Doenças para as quais foram recolhidas provas substanciais que indicam que o risco de transmissão é insignificante, desde que os embriões sejam corretamente manipulados entre a coleta e a transferência, mas para as quais é necessário verificar os dados existentes através de novas transferências: a) Peste suína clássica. Categoria 3 - Doenças ou agentes de doenças para as quais os resultados preliminares indicam que o risco de transmissão é insignificante, desde que os embriões sejam corretamente manipulados, entre a coleta e a transferência, mas para os quais essas verificações preliminares devem ser corroboradas por dados experimentais complementares "in vitro" e "in vivo": a) Peste bovina. b) Diarreia viral bovina. c) Língua azul (ovinos). d) Febre aftosa (suínos, ovelhas e cabras). e) Campylobacter fetus (ovinos). f) Doença vesicular do porco. g) Peste suína africana. h) Prurido lombar (ovinos). i) Haemophilus somnus. Categoria 4 - Doenças ou agentes de doenças que foram ou são objeto de trabalhos preliminares: a) Vírus Akabane (bovino). b) Estomatite vesicular (bovinos e suínos). c) Chlamydia psittaci (bovinos e suínos). d) Ureaplasma/micoplasmose (bovinos e caprinos). e) Maedi-visna (ovino). f) Adenomatosa pulmonar (ovino). g) Prurido lombar (caprinos). h) Língua azul (caprinos). i) Artrite e encefalite caprina. j) Parvovírus (suíno). k) Enterovírus (bovinos e suínos). I) Leptospirose (suíno). m) Herpesvírus 4 dos bovinos. n) Mycobacterium paratuberculose (bovinos). o) brucelose ovina. p) Doença de Border (ovinos). q) Vírus parainfluenza 3 (bovinos). r) Agente da encefalopatia espongiforme bovina. É interessante salientar que apenas seis doenças estão incluídas na categoria 1 (a mais segura). Isso não significa que as outras doenças tenham um risco maior, apenas indica que o risco de transmissão das doenças da categoria 1 é irrelevante, estatisticamente falando. É importante assinalar que as doenças mais importantes dos bovinos se situam na categoria 1. Isto significa que a incidência do embrião patogênico nos bovinos parece ser perfeitamente controlável, desde que sejam adotadas metodologias adequadas. Isto serve também como linha de defesa adicional para que o técnico centre sua atenção e cuidados entre a fase de obtenção e a de transferência. 7. SITUAÇÃO ATUAL DA TRANSFERÊNCIA DE EMBRIÕES ANIMAIS NO BRASIL O Brasil é um dos grandes responsáveis mundiais pela implantação da tecnologia na reprodução animal, sendo assim, o país conseguiu inserir-se no mercado internacional como um dos maiores produtores de embriões in vivo e in vitro. Nas últimas duas décadas, especialmente entre os anos de 1997 e 2017 o país passou por importantes transformações nesse segmento, dentre essas transformações vale destacar a posição relativa do Brasil no contexto mundial. O Brasil passou de referência regional, nos anos 1990, para se tornar o maior produtor mundial de embriões entre os anos 2012 e 2013, sendo líder no uso e na produção de embriões in vitro. Os primeiros registros da TE produzidos in vivo no Brasil datam da década de 1980, e uma década depois o país já tornara-se referência e detinha um mercado consolidado de produção e TE na espécie bovina. Não obstante, no ano de 1997 o país ainda era referência apenas no contexto regional, detendo 68,3% dos embriões transferidos na América Latina, esse percentual corresponde a 24.085 embriões de um total de 35.254 produzidos na América Latina. Esse percentual regional representa apenas 6,6% de toda a produção mundial de embriões in vivo, que produziu, em 1997, 360.656 embriões in vivo. Nos últimos anos, o mercado de embriões, principalmente o bovino, teve retração moderada de -2,5% ao ano entre 2003 e 2018, porém essa retração contrasta com o ligeiro crescimento observado a partir dos anos 2000 conforme figura 1: Figura 1: Produção de embriões bovinos no Brasil no período 1996-2018, total e por tecnologia adotada (in vivo[IVD] ou in vitro [IVP]). Em 2018, o mercado de embriões bovinos manteve-se inalterado se compararmos com os três anos anteriores, houve reduções nós segmentos de corte, leite e no total comparado ao ano de 2017. Em 2014, a produção de embriões para melhoramento do gado leiteiro teve seu ápice, porém de lá para cá esse mercado manteve-se estagnado como demonstra a tabela 2. Tabela 2: Produção de embriões bovinos no Brasil em 2018, estratificada por segmento e por tecnologia adotada (in vivo ou in vitro). 7.1 Crise, economia e mercado de embriões A indústria de embriões reflete, em maior ou menor grau, o momento da economia brasileira. Apesar do segmento agropecuário ser um setor em constante crescimento no país, ao qual, sem dúvidas, em meio a inúmeras crises mantém-se em constante crescimento. Porém vale ressaltar que esse mercado é emergente e está refletido em paralelo com os bens produzidos pelo país, como demonstra a figura 2. Figura 2: Produção de embriões bovinos e variação no produto interno bruto (PIB) no Brasil, no período 1996-2018. Cada vez mais o setor agropecuário do Brasil investe em novas tecnologias que maximizem o mercado e que melhore a produção dos animais seja no segmento corte ou leite. Segundo a OCDE, 1997, essa indústria da produção de embriões é um conjunto de novas técnicas e processos, frutos do desenvolvimento técnico-científico, que chega ao mercado e - o mais importante - o transforma. Logo, todas essas técnicas e biotecnologias visam, além da alta produção e do lucro, o melhoramento e a suplementação alimentícia da população mundial que está em crescente avanço. A evolução da tecnologia embrionária no país, seja para o melhoramento dos equinos para os esportes como as vaquejadas, hipismo, corridas, etc., onde são investidos tempo, dedicação e dinheiro para formar um novo animal que apresente força, conformação, conversão alimentar e que custa milhões, em muitos casos, não só dos equinos, mas também dos caprinos, ovinos, suínos e até mesmo os bovinos onde o mercado da TE é mais presente e aquecida, venceu os estigmas do “modismo” e o chamado “elitismo”, porém deve enfrentar novos desafios, em especial num contexto de forte concentração do mercado de genética e de concorrência globalizada. Mesmo com todos esses avanços e retrocessos, essa relativização dos números demonstra que um percentual bastante reduzido das fêmeas bovinas que estão em idade reprodutiva é utilizado para a técnica da transferência de embriões, e que o mercado brasileiro ainda tem um grande potencial de crescimento no setor de produção in vivo e in vitro. 8. RESUMO E PRIMEIRAS CONCLUSÕES Ao longo deste trabalho pretendi realizar uma revisão sumária sobre um tema de grande importância presente, e sobretudo futura; referir-me à transferência embrionária. Atualmente, esta técnica atingiu um grau notável de penetração, a nível prático, no gado leiteiro. No entanto, num futuro mais ou menos longínquo, não temos dúvidas quanto a esta técnica, pelas vantagens indubitáveis que apresenta a nível de avanço genético, que será aplicada em outras espécies úteis ao homem. Na minha exposição, tentei dar especial ênfase a dois aspectos: as técnicas de transferência, incluindo as normas IETS e os controles sanitários a serem efetuados. Por fim, a indústria brasileira de embriões mostrou-se em retrocessos e avanços, porém o mercado ainda têm grandes desafios a serem enfrentados ao longo dos anos, mas que serão sanados mediante as técnicas desenvolvidas pelos inúmeros centros de pesquisa embrionárias e seus especialistas. -/- Realização -/- Emanuel Isaque Cordeiro da Silva – Departamento de Zootecnia da UFRPE. Recife, 2020. REFERÊNCIAS BIBLIOGRÁFICAS -/- BALL, Peter JH; PETERS, Andy R. Reproduction in cattle. Nova Jersey: John Wiley & Sons, 2008. BARUSELLI, Pietro Sampaio et al. Sêmen sexado: inseminação artificial e transferência de embriões. Revista Brasileira de Reprodução Animal, v. 31, n. 3, p. 374-381, 2007. BRACKELL, B. G.; JR SEIDEL, G. E.; SEIDEL, S. Avances en zootecnia nuevas técnicas de reproducción animal. Zaragoza: Acribia, 1988. COLE, H. H.; CUPPS, P. T. Reproduction in domestic animals. 1ª ed. Londres: Academic Press, 1977. CURTIS, John L. et al. Cattle embryo transfer procedure. An instruction manual for the rancher, dairyman, artificial insemination technician, animal scientist, and veterinarian. Londres: Academic Press, Inc., 1991. DA SILVA, Emanuel Isaque Cordeiro. Fisiologia da Reprodução Animal: Ovulação, Controle e Sincronização do Cio. Disponível em:. Acesso em: Março de 2020. DA SILVA, Emanuel Isaque Cordeiro. Fisiologia da Reprodução Animal: Fecundação e Gestação. Disponível em:. Acesso em: Março de 2020. DE LA FUENTE, J. Manipulación de embriones en ganado vacuno. Bovis, n. 58, p. 51-61, 1994. GIBBONS, A.; CUETO, M. Manual de transferencia de embriones ovinos y caprinos. Bariloche: Inta, 2013. GONÇALVES, Paulo Bayard Dias; DE FIGUEIREDO, José Ricardo; DE FIGUEIRÊDO FREITAS, Vicente José. Biotécnicas aplicadas à reprodução animal. São Paulo: Editora Roca, 2008. GONÇALVES, Rômany Louise Ribeiro; VIANA, João Henrique Moreira. Situação atual da produção de embriões bovinos no Brasil e no mundo. In: Embrapa Recursos Genéticos e Biotecnologia-Artigo em anais de congresso (ALICE). Revista Brasileira de Reprodução Animal, v. 43, n. 2, p. 156-159, abr./jun. 2019., 2019. HAFEZ, E. S. E.; HAFEZ, B. Reprodução animal. São Paulo: Manole, 2004. HOPPER, Richard M. (Ed.). Bovine reproduction. Nova Jersey: John Wiley & Sons, 2014. PÉREZ PÉREZ, F.; PÉREZ GUTIÉRREZ, F. Reproducción animal, inseminación animal y transplante de embriones. Barcelona: Cientifico-medica, 1985. MANSOUR, R. T.; ABOULGHAR, M. A. Optimizing the embryo transfer technique. Human reproduction, v. 17, n. 5, p. 1149-1153, 2002. MARTINS, Carlos Frederico. O impacto da transferência de embriões e da fecundação in vitro na produção de bovinos no Brasil. Embrapa Cerrados-Artigo de divulgação na mídia (INFOTECA-E), 2010. REFERÊNCIAS BIBLIOGRÁFICAS MCKINNON, A. O.; SQUIRES, E. L. Equine embryo transfer. Veterinary Clinics of North America: Equine Practice, v. 4, n. 2, p. 305-333, 1988. PALMA, G. A.; BREM, G. Transferencia de los embriones. GA Palma & G. Brem. Transferencia de embriones y biotecnología de la reproducción en la especie bovina. Ed. Hemisferio Sur. Buenos Aires, Argentina, p. 143-161, 1993. SCHOOLCRAFT, William B.; SURREY, Eric S.; GARDNER, David K. Embryo transfer: techniques and variables affecting success. Fertility and sterility, v. 76, n. 5, p. 863-870, 2001. SEIDEL, George E. Superovulation and embryo transfer in cattle. Science, v. 211, n. 4480, p. 351-358, 1981. STRINGFELLOW, D. A.; SEIDEL, S. M. Manual of IETS. Savoy IL: IETS, p. 103-130, 1998. STRINGFELLOW, D. A. Manual da sociedade internacional de transferência de embriões. Brasília: Sociedade Brasileira de Transferência de Embriões (SBTE), 1999. THIBIER, M.; NIBART, M. Disease control and embryo importations. Theriogenology, v. 27, n. 1, p. 37-47, 1987. VIANA, J. H. M. Produção e transferência de embriões bovinos em 2018. In: Jornal o embrião. Edição 64, ano 33. Brasília: SBTE, 2019. -/- . (shrink)

The importance of corporate social responsibility is shaping investment decisions and entrepreneurial actions in diverse perspectives. The rapid growth of SMEs has tremendous impacts on the environment. Nonetheless, the economic emergence plan of Cameroon has prompted government support of SMEs through diverse projects. This saw economic growth increased to 3.8% and unemployment dropped to 4.3% caused by the expansion of private sector investments. The dilemma that necessitated this study is the response strategy of SMEs operators towards environmental sustainability. This study, (...) thus seeks to examine the effects of entrepreneurial intentions and actions on environmental sustainability. The research is a conclusive case study design supported by the philosophical underpins of objectivism ontology and positivism epistemology. Data was sourced from four hundred (400) SMEs operators purposively sampled from the Centre and Littoral regions of Cameroon using structured questionnaire. Data was analysed using the Structural Equation Modelling technique with the aid of statistical packages including: SPSS 24 and AMOS 23. The study revealed that entrepreneurial action has weak positive statistical significant impacts on environmental sustainability; whereas entrepreneurial intention has strong positive statistical significant effects on environmental sustainability. Entrepreneurial intention comprised of self-efficacy and perceived control whereas, entrepreneurial actions involved entrepreneurial alertness and uncertainty. This study concludes that entrepreneurs in Cameroon have sustainable intentions to protect the environment but; the current actions taken are inadequate. This research recommends that entrepreneurs should enhance efforts toward attaining the state of genuine sustainability. (shrink)

Consumer behavior analytics has become a pivotal aspect for businesses to understand and predict customer preferences and actions. The advent of machine learning (ML) algorithms has revolutionized this field by providing sophisticated tools for data analysis, enabling businesses to make data-driven decisions. However, the effectiveness of these ML algorithms significantly hinges on the optimization techniques employed, which can enhance model accuracy and efficiency. This paper explores the application of various optimization techniques in consumer behaviour analytics using (...) machine learning algorithms. By focusing on the optimization of key parameters, the study aims to improve the predictive power of models and reduce computational costs. (shrink)

This short communication piece uses the data sets provided by Baas, Boyack & Ioannidis (2021), released on October 20, 2022 (retrieved on March 28, 2022).

The Center for Disease Control and Prevention’s Active Bacterial Core Surveillance (CDC ABCs) Program is a collaborative effort betweeen the CDC, state health departments, laboratories, and universities to track invasive bacterial pathogens of particular importance to public health [1]. The year-end surveillance reports produced by this program help to shape public policy and coordinate responses to emerging infectious diseases over time. The ABCs case report form (CRF) data represents an excellent opportunity for data reuse beyond the original (...) surveillance purposes. (shrink)