Teachers' pedagogical strategy in teaching reading comprehension cannot be neglected because when learners fail to comprehend text and give meaning to it, they experience difficulties understanding other subjects taught. This study, therefore, examined reading comprehension strategies adopted by teachers to enhance reading comprehension among primary school learners. This study adopted a qualitative research method with an interpret visit paradigm. Ten (10) teachers were purposively selected for the study one each from ten (10) primary schools. Data was collected the selected participants (...) using semi-structured interview. The researchers ensured the trustworthiness of the interview through disclosure and corroboration. The data collected were transcribed for the purpose of analysis using the atlasti software and the thematic data analysis technique. Findings indicate that some teachers did not understand the various strategies to optimise reading comprehension. Teachers also lacked knowledge of the different learners learning preferences to plan their reading comprehension lessons. Furthermore, the lack of appropriate reading material and differentiated reading exercises for slow learners were highlighted among the challenges that hampered reading comprehension. The study recommends capacity-building programmes to provide strategies for differentiated teaching, to learn to accommodate slow learners and to provide appropriate resources by the education department. (shrink)

Many epistemologists have argued that there is some degree of independence between individual and collective reliability (e.g., Kitcher 1990; Mayo-Wilson, Zollman, and Danks 2011; Dunn 2018). The question, then, is: To what extent are the two independent of each other? And in which contexts do they come apart? In this paper, I present a new case confirming the independence between individual and collective reliability optimization. I argue that, in voting groups, optimizing individual reliability can conflict with optimizing collective (...) reliability. This can happen even if various conditions are held constant, such as: the evidence jurors have access to, the voting system, the number of jurors, some independence conditions between voters, and so forth. This observation matters in many active debates on, e.g., epistemic dilemmas, the wisdom of crowds, independence theses, epistemic democracy, and the division of epistemic labour. (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)

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)

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)

The purpose of this paper is to illustrate, formally, an ambiguity in the exercise of political influence. To wit: A voter might exert influence with an eye toward maximizing the probability that the political system (1) obtains the correct (e.g. just) outcome, or (2) obtains the outcome that he judges to be correct (just). And these are two very different things. A variant of Condorcet's Jury Theorem which incorporates the effect of influence on group competence and interdependence is developed. Analytic (...) and numerical results are obtained, the most important of which is that it is never optimal--from the point-of-view of collective accuracy--for a voter to exert influence without limit. He ought to either refrain from influencing other voters or else exert a finite amount of influence, depending on circumstance. Philosophical lessons are drawn from the model, to include a solution to Wollheim's "Paradox in the Theory of Democracy". (shrink)

Firms strive hard to achieve a high degree of efficiency on the production frontier, and it is where they compete to excel with their competitors. It is observed from previous studies that standardizing some policies and developing strategies could bring efficiency in production of manufacturing firms. New approaches to the measurement of productive efficiencies are being developed, and analysis of the subject is growing exponentially, since firms are now more concerned about the productivity frontier, besides others. This paper analyzes the (...) necessary factors that contribute to the productive efficiency of an organization. A simple model of production function is constructed to understand its essence and thus contributes to the development of a new ratio that defines productive efficiency in terms of maximization of the efficiency factor that is a common issue in industrial and manufacturing organizations. (shrink)

This systematic literature review investigates critical factors influencing the use of Information and Communication Technologies (ICT) in teaching and learning environments. Drawing upon existing research, the study examines key themes including teacher attitudes and beliefs, professional development, infrastructure, and pedagogical integration. Findings indicate that positive teacher attitudes towards ICT and effective professional development programs are essential for successful technology integration. Moreover, the availability of reliable infrastructure, such as internet connectivity and hardware, plays a vital role in facilitating equitable access to (...) ICT resources. Pedagogical integration emerges as a crucial aspect, with aligning technology use with instructional objectives and fostering active, student-centered learning experiences identified as key strategies. Innovative pedagogical approaches, including inquiry-based learning and flipped classrooms, leverage ICT to enhance engagement and learning outcomes. The study highlights the interconnectedness of these factors and underscores the importance of addressing them holistically to optimize the educational benefits of ICT integration. By informing evidence-based practices and policy recommendations, this research aims to support educators, policymakers, and stakeholders in enhancing teaching and learning outcomes in the digital age. (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)

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)

Our findings reveal that implementing accelerated computing can achieve substantial improvements, often reducing computation times by more than 60% compared to traditional sequential methods. This paper details the experimental setup, including algorithm selection and parallelization techniques, and discusses the role of memory bandwidth and latency in achieving optimal performance. Based on the analysis, we propose a streamlined methodology to guide the deployment of accelerated computing frameworks in various industries. Concluding with a discussion on future directions, we highlight potential advancements in (...) hardware architectures and software optimizations that could further augment computational efficiency and scalability in accelerated computing. (shrink)

In this paper an empirical theory about the nature of intention is sketched. After stressing the necessity of reckoning with intentions in philosophy of action a strategy for deciding empirically between competing theories of intention is exposed and applied for criticizing various philosophical theories of intention, among others that of Bratman. The hypothesis that intentions are optimality beliefs is defended on the basis of empirical decision theory. Present empirical decision theory however does not provide an empirically satisfying elaboration of the (...) desirability concepts used in these optimality beliefs. Based on process theories of deliberation two hypotheses for filling this gap are developed. (shrink)

In recent times, limitations and adverse effects of fossil fuels have significantly attracted researchers' attention to green fuels worldwide, especially in developed nations. As a way of assessing this actualization of biorefineries establishment in developing nations, this report surveys the works done by various researches towards this great course in terms of promoting and gaining the attention of both government and private investors about the technical and economic feasibility of embracing the use of biofuels, a case of bioethanol in Nigeria. (...) Different classes of feedstocks were reviewed for the laboratory-scale, process scale-up, pilot plant, and techno-economic studies regarding ascertaining the technical and economic feasibility of local setup of a functional biorefinery in Nigeria, which would be beneficial environmentally and economically. The literature survey unveiled that the Bioethanol yield obtained from sugarcane-juice (72.7 %), banana-stems (84.0 %), and cassava (92.0 %) were found to be of highest potential amongst other sugar-based, lignocellulosic, and starch- based feedstock, respectively. The survey further unveils that the volume of process scale-up and economic feasibility studies does not correlate well with the laboratory-scale studies. The bulk of the research works on bioethanol has given preferential attention to laboratory studies. Only a few studies have looked into the commercialization (i.e., scale-up) of the laboratory findings and the economic implications. Presently, only sugarcane and a few cassavas are reported in the literature so far. It is, therefore, necessary for further studies to give attention to the investigation of the commercializing locally developed technologies and the exploration of their economic benefits. (shrink)

One of the main reasons of environmental pollution is energy consumption in buildings. Today, the use of renewable energy sources is increasing dramatically. Among these sources, solar energy has favorable costs for various applications. This study examined a commercial building in a hot and humid climate. The findings showed that choosing the optimal angle of solar panels with the goal of optimized energy consumption would yield reduced costs and less environmental pollutants with the least cost and maximum energy absorption. In (...) this study, to calculate the energy requirements of the building, DesignBuilder software was used. To study the solar angles and estimate the energy produced by the solar panels, Polysun software was used after simulating the building energy. Energy simulation results showed that the whole building energy consumption was 26604 kWh/year. Finally, the evaluation results of solar panels showed that the energy produced by photovoltaic modules at an optimal angle of 31° would be equal to 26978 kWh/year, which is more than the energy required by the building. This system can prevent 14471 kg of carbon dioxide emissions annually. Sustainable energy criteria showed that for the studied building, photovoltaic modules could be used in energy production to reach a zero-energy system connected to the grid with an annual energy balance. (shrink)

In 1968, Jürgen Habermas claimed that, in an advanced technological society, the emancipatory force of knowledge can only be regained by actively recovering the ‘forgotten experience of reflection’. In this article, we argue that, in the contemporary situation, critical reflection requires a deliberative ambiance, a process of mutual learning, a consciously organised process of deliberative and distributed reflection. And this especially applies, we argue, to critical reflection concerning a specific subset of technologies which are actually oriented towards optimising human cognition. (...) In order to create a deliberative ambiance, fostering critical upstream reflection on emerging technologies, we developed the concept of a mutual learning exercise. Building on a number of case studies, we analyse what an MLE involves, both practically and conceptually, focussing on key aspects such as ambiance and expertise, the role of ‘genres of the imagination’ and the profiles of various ‘subcultures of debate’. Ideally, an MLE becomes a contemporary version of the Socratic agora, providing a stage where multiple and sometimes unexpected voices and perspectives mutually challenge each other, in order to strength-en the societal robustness and responsiveness of emerg-ing technologies. (shrink)

Universal social institutions, such as marriage, commons management and property, have emerged independently in radically different cultures. This requires explanation. As Boyer and Petersen point out ‘in a purely localist framework would have to constitute massively improbable coincidences’ . According to Boyer and Petersen, those institutions emerged naturally out of genetically wired behavioural dispositions, such as marriage out of mating strategies and borders out of territorial behaviour. While I agree with Boyer and Petersen that ‘unnatural’ institutions cannot thrive, this one-sided (...) explanation of universal social institutions in terms of genetic human nature is unsatisfactory. Drawing on the literature on multi-level selection and gene-culture coevolution, I argue that universal social institutions are first and foremost the products of cultural selection. They occupy fitness peaks in the landscape of cultural possibilities, much in the same way that biological adaptations occupy fitness peaks in the landscape of biological possibilities. To show this, I use game-theory. By modelling the domains of social interaction in which marriage, commons management, and property emerged as Prisoner’s dilemma situations, it becomes clear how an institutional framework allows the group to move to an interactive equilibrium with a larger payoff. Institutions do so by incentivising all parties to adopt a cooperative strategy. They are culturally selected ways of optimising genetically constrained domains of human social interaction. (shrink)

All parties involved in researching, developing, manufacturing, and distributing COVID-19 vaccines need guidance on their ethical obligations. We focus on pharmaceutical companies' obligations because their capacities to research, develop, manufacture, and distribute vaccines make them uniquely placed for stemming the pandemic. We argue that an ethical approach to COVID-19 vaccine production and distribution should satisfy four uncontroversial principles: optimising vaccine production, including development, testing, and manufacturing; fair distribution; sustainability; and accountability. All parties' obligations should be coordinated and mutually consistent. For (...) instance, companies should not be obligated to provide host countries with additional booster shots at the expense of fulfilling bilateral contracts with countries in which there are surges. Finally, any satisfactory approach should include mechanisms for assurance that all parties are honouring their obligations. This assurance enables countries, pharmaceutical companies, global organisations, and others to verify compliance with the chosen approach and protect ethically compliant stakeholders from being unfairly exploited by unethical behaviour of others. (shrink)

A comment on Paul Schoemaker's target article in Behavioral and Brain Sciences, 14 (1991), p. 205-215, "The Quest for Optimality: A Positive Heuristic of Science?" (https://doi.org/10.1017/S0140525X00066140). This comment argues that the optimizing model of decision leads to an infinite regress, once internal costs of decision (i.e., information and computation costs) are duly taken into account.

Sex is an important part of human life. It is a source of pleasure and intimacy, and is integral to many people’s self-identity. This chapter examines the opportunities and challenges posed by the use of AI in how humans express and enact their sexualities. It does so by focusing on three main issues. First, it considers the idea of digisexuality, which according to McArthur and Twist (2017) is the label that should be applied to those ‘whose primary sexual identity comes (...) through the use of technology’, particularly through the use of robotics and AI. While agreeing that this phenomenon is worthy of greater scrutiny, the chapter questions whether it is necessary or socially desirable to see this as a new form of sexual identity. Second, it looks at the role that AI can play in facilitating human-to-human sexual contact, focusing in particular on the use of self-tracking and predictive analytics in optimising sexual and intimate behaviour. There are already a number of apps and services that promise to use AI to do this, but they pose a range of ethical risks that need to be addressed at both an individual and societal level. Finally, it considers the idea that a sophisticated form of AI could be an object of love. Can we be truly intimate with something that has been ‘programmed’ to love us? Contrary to the widely-held view, this chapter argues that this is indeed possible. (shrink)

Countermeasures for mpox (formerly known as monkeypox), primarily vaccines, have been in limited supply in many countries during outbreaks. Equitable allocation of scarce resources during public health emergencies is a complex challenge. Identifying the objectives and core values for the allocation of mpox countermeasures, using those values to provide guidance for priority groups and prioritisation tiers, and optimising allocation implementation are important. The fundamental values for the allocation of mpox countermeasures are: preventing death and illness; reducing the association between death (...) or illness and unjust disparities; prioritising those who prevent harm or mitigate disparities; recognising contributions to combating an outbreak; and treating similar individuals similarly. Ethically and equitably marshalling available countermeasures requires articulating these fundamental objectives, identifying priority tiers, and recognising trade-offs between prioritising the people at the highest risk of infection and the people at the highest risk of harm if infected. These five values can provide guidance on preferable priority categories for a more ethically sound response and suggest methods for optimising allocation of countermeasures for mpox and other diseases for which countermeasures are in short supply. Properly marshalling available countermeasures will be crucial for future effective and equitable national responses to outbreaks. (shrink)

The rise of social-media-mediated celebrity culture raises several philosophical concerns. Therefore, it is not uncommon to see, for example, Hollywood actors being placed in the same bracket as YouTube artists and Instagram influencers. The increased perceived ‘connectivity’ afforded by social media allows online celebrities to reach more fans and increases the perceived engagement or intimacy in the fan-celebrity relationship. In this paper I argue that this online relationship, which is beneficial to celebrities (for brand development) and social media companies (in (...) profiting from the high engagement), has the potential to cause harm to both the celebrities as well as their fanbases (and sometimes innocent third parties). Firstly, I argue that celebrities’ attempts to be more intimate or authentic with their fanbase can turn out to be – more often than not – acts of Sartrean bad faith. Celebrities who tend to project a certain self-styled ‘online authenticity’, given the context of social media’s attention economy, can run the risk of treating a fan as a means-to-an-end, rather than an autonomous for-itself. Secondly, I argue that this phenomenon can catalyse real-world harms, by drawing upon network theory and social psychology. I argue that the connectedness of social media, ‘blending into the crowd’, and social media technologies’ ethos of optimising-for-engagement, leads to real harms to human well-being when fans do not engage critically and mindfully with online celebrities. Examples include Trump-esque celebrity politicians trying to drum up populist influence; celebrities feuding online encouraging fans’ conduct of harmful trolling and harassment; and vilification of those who do not subscribe to the same perceived worldview of a celebrity’s fandom. Following my arguments within, I shall outline an online celebrity’s ethical duties in their social media engagement, with emphasis on the duties that celebrity status comes with, particularly in preventing harms that transcend the online into the offline. (shrink)

This paper critically reviews the arguments supporting rational genuine satisficing. The deconstructive effort unearths inherent problems with the position in both static and dynamic contexts. Many of these arguments build on Herbert Simon’s canonical arguments surrounding incommensurability and demandingness problems. Optimizing is re-constructed using the principles of instrumental satisficing to answer these charges. The resulting conception is both obviously undemanding and a recognizable response to focused decision making.

Impartially Optimizing Consequentialism requires agents to act so as to bring about the best outcome, as judged by a preference ordering which is impartial among the needs and interests of all persons. IOC may seem to be only rational response to the recognition that one is only one person among many others with equal intrinsic moral status. A person who adopts a less impartial deontological alternative to IOC may seem to fail to take seriously the fact that other persons (...) matter in the same way that she takes herself to matter. This paper examines this ‘seductive appeal’ of IOC. It argues that IOC is not the only rational way to recognize the fact that each person matters. It presents an alternative conception of how to recognize the status of other persons as beingswho-matter, an alternative that has Kantian rather than consequentialist implications. (shrink)

This article critically discusses the concept of economic rationality, arguing that it is too narrow and specific to encompass the full concept of practical rationality. Economic rationality is identified here with the use of the optimizing model of decision, as well as of expected utility apparatus to deal with uncertainty. To argue that practical rationality is broader than economic rationality, the article claims that practical rationality includes bounded rationality as a particular case, and that bounded rationality cannot be reduced (...) to economic rationality as defined here. (shrink)

The aim of this study was to explore the existence of moral distress among nurses in Lilongwe District of Malawi. Qualitative research was conducted in selected health institutions of Lilongwe District in Malawi to assess knowledge and causes of moral distress among nurses and coping mechanisms and sources of support that are used by morally distressed nurses. Data were collected from a purposive sample of 20 nurses through in-depth interviews using a semi-structured interview guide. Thematic analysis of qualitative data was (...) used. The results show that nurses, irrespective of age, work experience and tribe, experienced moral distress related to patient/nursing care. The major distressing factors were inadequate resources and lack of respect from patients, guardians, peers and bosses. Nurses desire teamwork and ethics committees in their health institutions as a means of controlling and preventing moral distress. There is a need for creation of awareness for nurses to recognize and manage moral distress, thus optimizing their ability to provide quality and uncompromised nursing care. (shrink)

This research investigates 3- and 5-year-olds' relative fairness in distributing small collections of even or odd numbers of more or less desirable candies, either with an adult experimenter or between two dolls. The authors compare more than 200 children from around the world, growing up in seven highly contrasted cultural and economic contexts, from rich and poor urban areas, to small-scale traditional and rural communities. Across cultures, young children tend to optimize their own gain, not showing many signs of self-sacrifice (...) or generosity. Already by 3 years of age, self-optimizing in distributive justice is based on perspective taking and rudiments of mind reading. By 5 years, overall, children tend to show more fairness in sharing. What varies across cultures is the magnitude of young children's self-interest. More fairness (less self-interest) in distributive justice is evident by children growing up in small-scale urban and traditional societies thought to promote more collective values. (shrink)

Precision Medicine is driven by the idea that the rapidly increasing range of relatively cheap and efficient self-tracking devices make it feasible to collect multiple kinds of phenotypic data. Advocates of N = 1 research emphasize the countless opportunities personal data provide for optimizing individual health. At the same time, using biomarker data for lifestyle interventions has shown to entail complex challenges. In this paper, we argue that researchers in the field of precision medicine need to address the performative (...) dimension of collecting data. We propose the fun-house mirror as a metaphor for the use of personal health data; each health data source yields a particular type of image that can be regarded as a ‘data mirror’ that is by definition specific and skewed. This requires competence on the part of individuals to adequately interpret the images thus provided. (shrink)

G. W. Leibniz developed a new model for rational decision-making which is suited to complicated decisions, where goods do not rule each other out, but compete with each other. In such cases the deliberator has to consider all of the goods and pick the ones that contribute most to the desired goal which in Leibniz’s system is ultimately the advancement of universal perfection. The inclinations to particular goods can be seen as vectors leading to different directions much like forces in (...) Leibniz’s dynamics. The vectorial model of rational decision-making is related to Leibniz’s work with metaphysical physics and the calculus of variations and is a heuristic tool which helps in finding reasonable combinations – in ideal cases optimums - between competing goods. By applying the model, the decision-maker can map and compare outcomes of combinations of goods in question and practice a kind of pseudo-mechanical arithmetic of reasons. A central feature of the model is the possibility to employ geometrical figures to help the conceptualization. In this paper I present the vectorial model, examine its applications in practical cases from political theory, jurisprudence and ethics Leibniz presented, and compare the model to recent theories of acting under uncertainty, such as bounded rationality and optimizing under constraints. (shrink)

The Cell Ontology (CL) is designed to provide a standardized representation of cell types for data annotation. Currently, the CL employs multiple is_a relations, defining cell types in terms of histological, functional, and lineage properties, and the majority of definitions are written with sufficient generality to hold across multiple species. This approach limits the CL’s utility for cross-species data integration. To address this problem, we developed a method for the ontological representation of cells and applied this method to develop a (...) dendritic cell ontology (DC-CL). DC-CL subtypes are delineated on the basis of surface protein expression, systematically including both species-general and species-specific types and optimizing DC-CL for the analysis of flow cytometry data. This approach brings benefits in the form of increased accuracy, support for reasoning, and interoperability with other ontology resources. 104. Barry Smith, “Toward a Realistic Science of Environments”, Ecological Psychology, 2009, 21 (2), April-June, 121-130. Abstract: The perceptual psychologist J. J. Gibson embraces a radically externalistic view of mind and action. We have, for Gibson, not a Cartesian mind or soul, with its interior theater of contents and the consequent problem of explaining how this mind or soul and its psychological environment can succeed in grasping physical objects external to itself. Rather, we have a perceiving, acting organism, whose perceptions and actions are always already tuned to the parts and moments, the things and surfaces, of its external environment. We describe how on this basis Gibson sought to develop a realist science of environments which will be ‘consistent with physics, mechanics, optics, acoustics, and chemistry’. (shrink)

The ability to access and share data is key to optimizing and streamlining any industrial production process. Unfortunately, the manufacturing industry is stymied by a lack of interoperability among the systems by which data are produced and managed, and this is true both within and across organizations. In this paper, we describe our work to address this problem through the creation of a suite of modular ontologies representing the product life cycle and its successive phases, from design to end (...) of life. We call this suite the Product Life Cycle (PLC) Ontologies. The suite extends proximately from The Common Core Ontologies (CCO) used widely in defense and intelligence circles, and ultimately from the Basic Formal Ontology (BFO), which serves as top level ontology for the CCO and for some 300 further ontologies. The PLC Ontologies were developed together, but they have been factored to cover particular domains such as design, manufacturing processes, and tools. We argue that these ontologies, when used together with standard public domain alignment and browsing tools created within the context of the Semantic Web, may offer a low-cost approach to solving increasingly costly problems of data management in the manufacturing industry. (shrink)

Abstract: Artificial Intelligence (AI) is revolutionizing the agricultural sector by enhancing productivity and sustainability. This paper explores the transformative impact of AI technologies on agriculture, focusing on their applications in precision farming, predictive analytics, and automation. AI-driven tools enable more efficient management of crops and resources, leading to improved yields and reduced environmental impact. The paper examines key AI technologies, including machine learning algorithms for crop monitoring, robotics for automated planting and harvesting, and data analytics for optimizing resource use. (...) Additionally, it addresses challenges such as data privacy, technology adoption barriers, and the ethical implications of AI in farming. By integrating AI into agricultural practices, the industry can achieve greater efficiency and sustainability, paving the way for future advancements. (shrink)

Physicians try hard to alleviate mental and physical ailments of their patients. Thus, they are heavily burdened by observing ethics and staying well-informed while improving health of their patients. A major ethical concern or dilemma in medication is that some physicians know their behavior is unethical, yet act against their moral compass. This study develops models of theory–practice gap, offering optimal solutions for the gap. These solutions would enhance self-motivation or remove external obstacles to stimulate ethical practices in medicine. The (...) Constructivist Grounded Theory Methodology is applied here where the participants and the main researcher mutually interacted with each other. Data collection was performed through qualitative methods including observation and semi-structured interviews with 21 physicians and medical students. Initial and focused coding was done, from which principal concepts were later extracted. MAXQDA software was used for analyzing data. Analysis of twelve major concepts in the study resulted in two factors and solution groups, from which four general notions influencing the ethical theory and practice gap in medicine were extracted: (1) providing effective education to change attitude and behavior; (2) considering motivational and emotional factors; (3) reconstructing regulations and processes to facilitate ethical practice; (4) conducting comprehensive and systematic studies. The existing medical educational system needs to be reconsidered to add to individual internal motivation, including optimizing persuasion strategies, maximizing participation of students, adhering to virtuous ethical theories, and fostering emotions. Additionally, regulations and processes can be reconstructed to remove practical obstacles and promote ethical practice with insignificant damages to individual self-motivation. (shrink)

Abstract: Rice, as a paramount staple crop worldwide, sustains billions of lives. Precise classification of rice types holds immense agricultural, nutritional, and economic significance. Recent advancements in machine learning, particularly Artificial Neural Networks (ANNs), offer promise in enhancing rice type classification accuracy and efficiency. This research explores rice type classification, harnessing neural networks' power. Utilizing a rich dataset from Kaggle, containing 18,188 entries and key rice grain attributes, we develop and evaluate a neural network model. Our neural network, featuring a (...) single hidden layer, achieves remarkable results—a staggering 100% accuracy and a minute average error rate of 0.000001. Beyond performance metrics, we delve into the intricacies of rice type classification through feature importance analysis. The most influential features—'id,' 'Area,' 'MajorAxisLength,' 'MinorAxisLength,' 'Eccentricity,' 'ConvexArea,' 'EquivDiameter,' 'Extent,' 'Perimeter,' 'Roundness,' and 'AspectRatio'—uncover the physiological traits underpinning accurate rice classification. This research contributes to advancing rice classification methods and highlights the potential of ANNs in optimizing agricultural practices, ensuring food safety, and bolstering global trade. (shrink)

Abstract: Artificial Intelligence (AI) is transforming the agricultural sector, enhancing both productivity and sustainability. This paper delves into the impact of AI technologies on agriculture, emphasizing their application in precision farming, predictive analytics, and automation. AI-driven tools facilitate more efficient crop and resource management, leading to higher yields and a reduced environmental footprint. The paper explores key AI technologies, such as machine learning algorithms for crop monitoring, robotics for automated planting and harvesting, and data analytics for optimizing resource use. (...) Additionally, it discusses challenges like data privacy, barriers to technology adoption, and the ethical implications of AI in farming. Integrating AI into agricultural practices holds the promise of greater efficiency and sustainability, paving the way for future innovations. (shrink)

In this paper I examine the role of optimality reasoning in Aristotle’s natural science. By “optimality reasoning” I mean reasoning that appeals to some conception of “what is best” in order to explain why things are the way they are. We are first introduced to this pattern of reasoning in the famous passage at Phaedo 97b8-98a2, where (Plato’s) Socrates invokes “what is best” as a cause (aitia) of things in nature. This passage can be seen as the intellectual ancestor of (...) Aristotle’s own principle, expressed by the famous dictum “nature does nothing in vain but always what is best for the substance from among the possibilities concerning each kind of animal” (Progression of Animals II, 704b12-18). The paper is focused around exploring three questions that arise in connection with Aristotle’s use of this optimality principle: (1) How do we understand the concept of “the best” at work in the principle? (2) How does Aristotle conceive of “the range of possibilities”? And, finally, (3) what role does optimality reasoning play in Aristotle’s natural science? Is it a special form of demonstration in which the optimality principle functions as one of its premises, or is it a heuristic device that helps uncover those causally relevant features of a natural substances that ultimately serve as middle terms in demonstrations? In the final section I return to the comparison between Plato and Aristotle and argue that, while both see the natural world as the product of an optimizing agent and while both see this assumption as licensing a pattern of reasoning that appeals to a certain conception of “the best”, they disagree fundamentally over what the optimization agent is and how it operates. Thus, despite their general agreement, it would be a mistake to think that Aristotle simply took over Plato’s use of optimality reasoning without significant modifications. (shrink)

Usually, modular construction involves the off-site manufacturing of standard building components in a factory before the components are assembled on the construction site. It is common to use terms like "prefabrication," "off-site construction," and "modular construction" interchangeably. The construction of modular constructions nowadays is flourishing all over the globe. The roots of the Albanian prefabricated constructions are extended for the first time around the 1970s. This paper will indeed analyze some recently built modular construction in Albania, considering and comparing it (...) with international case studies. The demand for new construction in Albania is rising rapidly. Currently, the most common structures are cast-in-place beam-column designs, driven by both traditional mindsets and industrial capabilities. However, with Albania's economic growth, there is an increasing need for affordable, quickly built, and technologically advanced buildings. Modular construction, which assembles prefabricated modules on-site, offers a solution. This method aligns with bioclimatic design principles, reducing environmental impact and optimizing resources, marking a shift toward sustainability in the construction industry. The purpose of this article is to explore the potential integration of “modular construction techniques” with “bioclimatic design concepts” to create buildings that are environmentally friendly, energy-efficient, and multipurpose by function. This study explores the use of modular construction techniques in conjunction with bioclimatic techniques to increase “building sustainability”. Combining these tactics encourages energy efficiency and a reduced environmental effect, making people far more resilient and weather-adaptable. The synergy between the two of them is necessary. (shrink)

Is the Smartphone (SP) an extension of consciousness or just an (other) externalization of the mind and an extension of the social? The concept of externalizing the mind more appropriately describes a series of processes that tend to be considered extensions of the mind. The human mind has evolved concurrently with various externalizations, such as utensils and language, as contributions to the development of the common environment of humanity: culture and civilization. Externalizations indicate the appearance of the human mind while (...) the extensions take into account the possibility of passing to another level (the singularity of consciousness). SP is a handy tool that mediates the personal relationship with the world, benefiting from a level of integration into the global workspace of the mind. Externalization called the SP could be a bridge from the externalization of the mind to its extensions, making the ontological leap from the utensil status to that of "part of the mind". SP is a mediator of an environment: it mediates between the mind and a special social environment called the Internet (mediates access to cognitive support provided by society through the virtual world), which is gradually becoming another reality. SP is part of the extension of human society by introducing tools into the network of personal relationships. Not the mind is expanded, but the social network, increasing the number of entities with which the human can create and maintain relationships. SP may be an extension of the social rather than an extension of the mind because it mediates an increase in the complexity of social relations that can lead to the emergence of "collective minds" (causing a change in the ontological status of society). Changing cognitive demands is a feature of the world's progress. Progress brings along with it cognitive costs of integration, technical solutions like SP, aimed at reducing these costs, generating an evolutionary advantage in the new social context. From an evolutionist perspective, the world means precisely this kind of modification of cognitive demands necessary for survival, SP joining the set of tools that mediate the cognitive progress of the world in which the human is inserted. We propose the use of an evolutionary cognitive economy principle, based on avoiding unnecessary costs, reducing losses and optimizing cognitive gains. (shrink)

The market capitalization of an enterprise is one of the key indicators characterizing the degree of influence of financial and non-financial instruments on its volumes and dynamics. Establishing the relationship between such instruments and metrics of equity and cash flows best delineates the plane of their direct impact on stimulating market capitalization. This is aimed at ensuring the implementation of effective management measures in the context of optimizing the use of equity and cash flows. The aim of the study (...) was to establish how the influence of indicators of financial and non-financial instruments on equity and cash flows forms a relevant basis for making management decisions to increase enterprise market capitalization. During the research, the following methods were used: summarization and grouping, multiple linear regression, direct ranking method, establishment of cause-and-effect relationships, logical generalization, and analytical method. As a result of the study, the toolkit for increasing the market capitalization of the enterprise from the standpoint of its grouping in terms of financial and non-financial plane was clarified. It was found that among the 36 analyzed indicators of the impact on equity and cash flows of the studied machine-building enterprises in Ukraine during the period 2010-2021, the most significant are bank lending, investment and technical metals, research and development costs, foreign scientific and technical services received, production investments, work-in-progress, and accounts payable for products, goods, and services. The results were transformed into a model of ranked instruments for stimulating the market capitalization of machine-building enterprises, which demonstrates the degree and directions of the influence of indicators of financial and non-financial instruments on the dynamics of equity and cash flows, which ensures the formation of an information database for making decisions on the further use of such instruments. The structuring of the toolkit serves as the basis for forming a system of management decisions containing practical recommendations within each group of instruments aimed at optimizing market capitalization through increased equity and cash flows of the enterprise. The obtained results will be beneficial to financial analysts of enterprises in preparing databases for making financial and non-financial decisions. (shrink)

The aim of this paper is to propose a new approach in the form of multimodality as a semiotic method that can be used by marketers and semioticians to induce online flow, a psychological state, on a brand website. First, we refer to multimodality as a semiotic analysis that can be used for a better optimization of semiotic resource sets in meaning-making, and we distinguish it from another similar concept: multimedia. Second, after a critical literature review, we address the flow (...) construct - a state of mind sometimes experienced by people who are deeply involved and immersed in some event, object or activity. Previous quantitative studies show a correlation between online flow experience and other variables such as design, content, sound and layout that are suggested to be its antecedents. In our study, these flow antecedents are viewed as sets of signs or modes that can be orchestrated in order to create different levels of perceived challenge for brand website users. We consider that multimodality can be used for a better optimization of these various meanings as expressed by modes that are "essentially different in nature" (Bateman, 2008, p.54). Also, we refer to the online marketing outcomes of the online flow experience, in order to outline its importance and its implications in the online environment. The main conclusion of our paper is that multimodality can be used by scholars and practitioners as a premise to induce online flow on a brand website, by optimizing the sets of signs or modes. Originality – our contribution consists of an interdisciplinary approach. We use concepts from semiotics, positive psychology, and online marketing for a better understanding of how marketers and semioticians can positively influence online customer behaviour. (shrink)

This paper aims to open a dialogue between philosophers working in decision theory and operations researchers and engineers working on decision-making under deep uncertainty. Specifically, we assess the recommendation to follow a norm of robust satisficing when making decisions under deep uncertainty in the context of decision analyses that rely on the tools of Robust Decision-Making developed by Robert Lempert and colleagues at RAND. We discuss two challenges for robust satisficing: whether the norm might derive its plausibility from an implicit (...) appeal to probabilistic representations of uncertainty of the kind that deep uncertainty is supposed to preclude; and whether there is adequate justification for adopting a satisficing norm, as opposed to an optimizing norm that is sensitive to considerations of robustness. We discuss decision-theoretic and voting-theoretic motivations for robust satisficing, and use these motivations to select among candidate formulations of the robust satisficing norm. (shrink)

This article reexamines Vico’s early critique of Cartesian reasoning and of how the Cartesian method, which comes from epistemology, creates problems for the sciences once embedded into their methodologies and given a foundational role. The focus will be on De nostri temporis studiorum ratione (1709), where Vico argues against generalizing the Cartesian method and overemphasizing clarity and distinctness in the search for truth. To this end, Vico’s relation to Cartesianism is first carefully contextualized. Then, Vico is presented as a hylomorphist (...) when it comes to how scientific disciplines and their instruments interrelate, something key for understanding why he questions the “instrumentalization” of the Cartesian method in the first place. Afterwards, Vico’s account of the impossibility of maximal scientific progress when the Cartesian method is prioritized across the sciences is presented, as probabilistic reasoning and the importance of the imagination and memory take centerstage. Lastly, the article looks at Vico’s opposition to the geometrical method’s role in physics and his defense of visual thinking in mathematics. The hope throughout is to advance a picture of the early Vico as being not only a neo- Baconian pragmatist, but a hypermodern ”meta-Cartesian” thinker concerned with humanity’s optimizing its creative potential in order to achieve scientific advances. (shrink)

An estimated 700,000 people in the United States have "long COVID," that is, symptoms of COVID-19 persisting beyond three weeks. COVID-19 and its long-term sequelae are strongly influenced by social determinants such as poverty and by structural inequalities such as racism and discrimination. Primary care providers are in a unique position to provide and coordinate care for vulnerable patients with long COVID. Policy measures should include strengthening primary care, optimizing data quality, and addressing the multiple nested domains of inequity.

A new strategy for moving forward in the characterization of the Global Neuronal Workspace (GNW) is proposed. According to Dehaene, Changeux and colleagues, broadcasting is the main function of the GNW. However, the dynamic network properties described by recent graph-theoretic GNW models are consistent with many large-scale communication processes that are different from broadcasting. We propose to apply a different graph-theoretic approach, originally developed for optimizing information dissemination in communication networks, which can be used to identify the pattern of (...) frequency and phase-specific directed functional connections that the GNW would exhibit only if it were a broadcasting network. (shrink)

Abstract: The integration of Artificial Intelligence (AI) into leadership practices is transforming organizational dynamics and This decision-making processes. paper explores how AI can enhance leadership effectiveness by providing data-driven insights, optimizing decision-making, and automating routine tasks. It also examines the challenges leaders face in adopting AI, including ethical considerations, potential biases in AI systems, and the need for upskilling. By analyzing current applications of AI in leadership and discussing future trends, this study aims to provide a comprehensive overview of (...) the opportunities AI presents for effective leadership and the strategies required to address its associated challenges. (shrink)

Abstract. In this article we developed scientific and applied foundations of commercialization of the nature-resource potential of anthropogenic objects, on the example of exhausted mines. It is determined that the category of “anthropogenic object” can be considered in a narrow-applied sense, as specific anthropogenic objects to ensure the target needs, and in a broad theoretical sense, meaning everything that is created and changed by human influence, that is the objects of both artificial and natural origin. It was determined that problems (...) of commercialization of the natural-resource potential of anthropogenic objects are most often considered by researchers for specific objects, without having complex methodological coverage from the point of view of combining environmental, technical, economic and managerial components. When studying the substantiation of the scientific base, the authors confirmed the feasibility of the commercialization of natural-resource potential of anthropogenic objects on the example of a number of theoretical scientific studies in reclamation, reconstruction, recreation, remediation, restoration of biological productivity and economic value of land disturbed by economic activity. The considered examples of exhausted mines in the 21st century in the USA, Canada, Germany, Romania, and Poland indicate a wide range of opportunities for their commercialization. The study of the potential for commercialization of exhausted mines in the post-Soviet countries testified to the underused reserves for the commercialization of their nature-resource potential and their high potential for further development. The authors proposed the identification of anthropogenic objects on the basic livelihood spheres of society. There were identified the main system (natural, biological, technical, economic, social, managerial) and structural (subjects, trends, threats, risks, problems, challenges) factors of diagnosing the state of an anthropogenic object. A set of measures has been developed for commercialization of an anthropogenic object in functional and production activities, product policy, financial and investment spheres, pricing and sales policies, promotion, management and determination of property rights. Recommendations were provided on optimizing the management decision-making process based on a set of positivistic development principles, methods, and management functions. The study allows international organizations, state and local authorities, territorial communities, owners and potential investors to see new opportunities and make mutually beneficial decisions on the rational use of the nature-resource potential of anthropogenic objects. (shrink)

Abstract: The integration of Artificial Intelligence (AI) into leadership practices is rapidly transforming organizational dynamics and decision-making processes. This paper explores the ways in which AI enhances leadership effectiveness by providing data- driven insights, optimizing decision-making, and automating routine tasks. Additionally, it examines the challenges leaders face when adopting AI, including ethical considerations, potential biases in AI systems, and the need for upskilling. By analyzing current applications of AI in leadership and discussing future trends, this study aims to offer (...) a comprehensive overview of the opportunities AI presents for effective leadership, as well as the strategies required to address its associated challenges. (shrink)

Abstract: In this study, we explore the possibility of classifying the plant species. We collected the plant species from Kaggle website. This dataset encompasses 544 samples, encompassing 136 distinct plant species. Recent advancements in machine learning, particularly Artificial Neural Networks (ANNs), offer promise in enhancing plant Species classification accuracy and efficiency. This research explores plant Species classification, harnessing neural networks' power. Utilizing a rich dataset from Kaggle, containing 544 entries, we develop and evaluate a neural network model. Our neural network, (...) featuring a single hidden layer, achieves remarkable results—a staggering 100% accuracy and a minute average error rate of 0.002. Beyond performance metrics, we delve into the intricacies of plant Species classification through feature importance analysis. The most influential features— Vegsout, durflow, semiros, pdias, begflow, wind, leafy, autopoll and insects— uncover the physiological traits underpinning accurate rice classification. This research contributes to advancing rice classification methods and highlights the potential of ANNs in optimizing agricultural practices, ensuring plant safety, and bolstering global trade. (shrink)

Recently, we have been trying to find out how to innovate our research method. For an analytical approach like BMF, it is even more difficult as BMF is the product of a many-year process of deliberate designing and optimizing. Fortunately, such innovation has appeared through the fictional details of The Kingfisher Story Collection, which gave birth to a subsequent series of innovations in working cultures, philosophies, principles, theories, methodology, and practices of the AISDL team. However, one important question remained: (...) What is the true meaning of Kingfisher? Why do we have so deep a connection to it? At first, we thought the Collection’s embedded humor and freedom of thought were the reasons. However, we have found the true answer today: its natural bond with the environment, the origin of human life. (shrink)

Abstract: (Indonesian Women Navy=kowal) is part of Indonesian Navy which have the same duties and responsibilities as other naval soldiers. The essence of Kowal's main task is to take part in performing the main tasks of the TNI in which their skills are needed to achieve greater efficiency by remembering his nature and femininity. SWOT is used as a planning tool. However, this analysis has weaknesses. Some of these weaknesses can be avoided, by connecting a SWOT analysis with AHP method. (...) Following the basic steps of the SWOT-AHP, this research presented a case study of defining the strategy for the development of Indonesian Women Navy. The results indicate that development skill with study dikpengiptek strategy was the best strategy that could have been implemented. Based on the research results, the method SWOT-AHP application to determine the best strategy of development women navy resources would be described as follows : (1) reduce the weakness to increase opportunities (WO=0,28), (2) optimizing the strength to reduce the threat (ST=0,26), (3) increasing weakness and reducing threats (WT= 0,23) and (4) optimizing strengths and maximizing opportunities (SO= 0,23). (shrink)

This book describes the state of astrobiology in Europe today and its relation to the European society at large. With contributions from authors in more than 20 countries and over 30 scientific institutions worldwide, the document illustrates the societal implications of astrobiology and the positive contribution that astrobiology can make to European society. The book has two main objectives: 1. It recommends the establishment of a European Astrobiology Institute (EAI) as an answer to a series of challenges relating to astrobiology (...) but also European research, education, and society at large. 2. It also acknowledges the societal implications of astrobiology, and thus the role of the social sciences and humanities in optimizing the positive contribution that astrobiology can make to the lives of the people of Europe and the challenges they face. (shrink)