The paper offers a model of Kant's claim that unity of consciousness entails objectivity of experience. This claim has nothing especially to do with thought, language or the categories but is a general truth about arbitrary signaling systems of the sort modeled in the paper. In conclusion I draw some consequences for various forms of idealism.

(No abstract is available for this citation).

Organizations are increasingly finding it challenging to balance economic and environmental performance particularly those that face competitive, regulatory and community pressure. With the increasing pressures for environmental sustainability, this calls for the new formulation of strategies by the manufacturers in order to minimize their products and services negative impact on the environment. Hence, Green Human Resource Management (GHRM) continues to be an important research agenda among the researchers. In Palestine, green issues are new and still developing. Constant study is needed (...) to fully understand and update information regarding this area. Objective: The aim of this paper is to explore the views and level of acceptance of GHRM practices among manufacturing firms in Palestine. Results: Through the use of e-mail survey, 121 responses were obtained to generate the results of the study. The result showed GHRM practices have been practiced to somewhat to a greater extent a firms in Palestine. Findings can be extended to study on the issues in further. Academicians and practitioners can apply this result to their research and business strategies on how to improve sustainable performance and to effectively implement GHRM practices. (shrink)

Abstract: Artificial Intelligence (AI) is transforming organizational dynamics by reshaping both structures and processes. This paper examines how AI-driven innovations are redefining organizational frameworks, ranging from shifts in hierarchical models to the adoption of decentralized decision-making. It explores AI's impact on key processes, including workflow automation, data analysis, and decision support systems. Through case studies and empirical research, the paper illustrates the advantages of AI in enhancing efficiency, driving innovation, and fostering agility within organizations. Additionally, it addresses the challenges posed (...) by AI integration, such as resistance to change, ethical concerns, and data security issues. The paper concludes with insights into future trends and implications for organizations navigating the evolving landscape of AI-driven change. (shrink)

Abstract: The efficiency and performance of sorting algorithms play a crucial role in various applications and industries. In this research paper, we present a comprehensive comparative analysis of popular sorting algorithms on datasets of different sizes and characteristics. The aim is to evaluate the algorithms' performance and identify their strengths and weaknesses under varying scenarios. We consider six commonly used sorting algorithms: QuickSort, TimSort, MergeSort, HeapSort, RadixSort, and ShellSort. These algorithms represent a range of approaches and techniques, including divide-and-conquer, hybrid (...) sorting, and simple comparison-based methods. To assess their performance, we employ a diverse set of datasets, including the Iris dataset (1K), student dataset (5.8K), Wine dataset (6.5K), Uniform (10K), Normal (10K), Exponential (10K), Bimodal (10K), Yelp dataset (10K), MNIST dataset (42K), Uniform (100K), Normal (100K), Exponential (100K), Bimodal (100K), Uniform (500K), Normal (500K), Exponential (500K), Bimodal (500K), Uniform (1M), Normal (1M), Exponential (1M), and Bimodal (1M). These datasets cover a wide range of sizes and characteristics, allowing us to analyze the algorithms' performance across different dimensions. We measure and compare several key metrics, including execution time, memory usage, algorithmic complexity and stability. By analyzing these metrics, we gain insights into the efficiency and suitability of each algorithm for different dataset sizes and characteristics. We also discuss the implications of the findings in practical applications. Our results reveal important trade-offs among the sorting algorithms. While some algorithms excel in certain scenarios, others demonstrate better scalability or memory efficiency. We identify the best-performing algorithms for specific dataset characteristics and highlight their strengths and limitations. This research can assist developers and practitioners in selecting appropriate sorting algorithms based on their specific requirements and dataset characteristics. In conclusion, this comparative analysis provides a valuable contribution to the understanding of sorting algorithm performance. The findings contribute insights into the efficiency and suitability of popular sorting algorithms across datasets of different sizes and characteristics. By evaluating key metrics and discussing the implications, we offer guidance for selecting the most appropriate sorting algorithm in various practical scenarios. (shrink)

The study aimed at measuring the dominant pattern of leadership and its relation to the performance of the administrative staff in the Palestinian universities. The study community consists of all the administrative staff from Al-Azhar University and the Islamic University, and through the census of the study society it was found to consist of (655) administrative staff. In order to achieve the objectives of the study, the researchers used the method of random sample in the study, and the study was (...) conducted on a sample of (221) administrative staff of the surveyed universities and the response rate was (82.35%). The study found that there is a high degree of satisfaction with the Dominant Pattern of Leadership in the Palestinian universities in Gaza Strip from the point of view of the administrative staff, which reached (71.67%). There is a high level of performance from the point of view of administrative staff, with a percentage of (82.53%). There is a direct correlation between the dominant pattern of leadership and the functional Performance of Administrative Staff, the absence of differences between the sample according to the gender variable in their perception of the dominant pattern of leadership and the functional Performance of Administrative Staff, the absence of differences in the perception of employees of the dominant pattern of leadership and the functional Performance of Administrative Staff depending on the age variable. There are differences of statistical significance according to the variable of scientific qualification in the Dominant Pattern of Leadership, while there were no differences in performance, the differences in the dominant pattern of leadership according to the scientific qualification were in favor of those who obtained the diploma degree compared to other practical qualifications, the absence of differences in the perception of employees of the dominant pattern of leadership and the functional Performance of Administrative Staff depending on the variable years of service, the absence of differences in the perception of employees of the dominant pattern of leadership and the functional Performance of Administrative Staff depending on the variable level of career (Director, Head of Department, and Administrative Officer). There were differences in the perception of workers to the dominant pattern of leadership depending on the variable of the workplace, where there were differences in favor of workers in deanships and colleges compared with the workers in the technical departments. While there were no differences in job performance according to the workplace variable, the existence of differences in the perception of workers to the dominant pattern of leadership depending on the university in which they work in favor of the Islamic University and the absence of differences in performance between the Islamic University and Al-Azhar University. The study reached a number of recommendations, the most important of which is that the interest of the managements of the Palestinian universities in improving the dominant pattern of leadership, to give universities the opportunity to participate in decision-making, the continued administration of universities interest and continuous improvement of the performance of its employees, enhance the periodic evaluation of job performance and to inform employees and express their opinion, solving workers' problems and giving them the opportunity to contribute to solving their own problems, the use of the staff rotation method periodically and strengthening the democratic the dominant pattern of leadership and empowering university staff. -/- . (shrink)

The study aimed to know the relationship between the nature of the work and the type of communication among the Employees in the Palestinian universities. A comparative study between Al-Azhar University and Al-Aqsa University. The researchers used the analytical descriptive method through a questionnaire that is randomly distributed among the employees of Al-Azhar and Al-Aqsa universities in Gaza Strip. The study was conducted on a sample of (176) administrative employees from the surveyed universities. The response rate was (85.79%). The study (...) reached a number of results, the most important of which is that there is a high degree of satisfaction with the nature of work prevailing in the Palestinian universities in Gaza Strip from the point of view of the administrative staff, where the percentage was (68.15%). There is an Mean level of communication from the point of view of administrative staff, with a percentage of (67.50%). There is a direct correlation between the nature of the work and the prevailing pattern of communication. There is an absence of differences between the sample according to the gender variable in their perception of the nature of work and the prevailing pattern of communication. There is an absence of differences in the perception of Employees nature of work and the pattern of communication prevailing depending on the variables (age, years of service, job level, and university). There are statistically significant differences between Al-Azhar University and Al-Aqsa University in favor of Al-Azhar University. The study reached a number of recommendations, the most important of which is that the interest of the management of the Palestinian universities in Gaza Strip in general, and Al-Aqsa and Al-Azhar Universities in particular should be provided with a good nature of work and communication. There is a need for continuing the management of universities to pay attention and continuous improvement of the performance of employees. There is an importance of solving the problems of Employees and giving them the opportunity to contribute to solving their own problems. Staff rotation should be used periodically and the need to strengthen the democratic leadership style and empower university Employees. (shrink)

Abstract: Background: In spite of the fact that computers continue to improve in speed and functions operation, they remain complex to use. Problems frequently happen, and it is hard to resolve or find solutions for them. This paper outlines the significance and feasibility of building a desktop PC problems diagnosis system. The system gathers problem symptoms from users’ desktops, rather than the user describes his/her problems to primary search engines. It automatically searches global databases of problem symptoms and solutions, and (...) also allows ordinary users to contribute exact problem reports in a structured manner. Objectives: The main goal of this Knowledge Based System is to get the suitable problem desktop PC symptoms and the correct way to solve the errors. Methods: In this paper the design of the proposed Knowledge Based System which was produced to help users of desktop PC in knowing many of the problems and error such as : Power supply problems, CPU errors, RAM dumping error, hard disk errors and bad sectors and suddenly restarting PC. The proposed Knowledge Based System presents an overview about desktop PC hardware errors are given, the cause of fault are outlined and the solution to the problems whenever possible is given out. CLIPS Knowledge Based System language was used for designing and implementing the proposed expert system. Results: The proposed PC desktop troubleshooting Knowledge Based System was evaluated by IT students and they were satisfied with its performance. (shrink)

The essay presents a novel counterexample to Causal Decision Theory (CDT). Its interest is that it generates a case in which CDT violates the very principles that motivated it in the first place. The essay argues that the objection applies to all extant formulations of CDT and that the only way out for that theory is a modification of it that entails incompatibilism. The essay invites the reader to find this consequence of CDT a reason to reject it.

The paper argues that on three out of eight possible hypotheses about the EPR experiment we can construct novel and realistic decision problems on which (a) Causal Decision Theory and Evidential Decision Theory conflict (b) Causal Decision Theory and the EPR statistics conflict. We infer that anyone who fully accepts any of these three hypotheses has strong reasons to reject Causal Decision Theory. Finally, we extend the original construction to show that anyone who gives any of the three hypotheses any (...) non-zero credence has strong reasons to reject Causal Decision Theory. However, we concede that no version of the Many Worlds Interpretation (Vaidman, in Zalta, E.N. (ed.), Stanford Encyclopaedia of Philosophy 2014) gives rise to the conflicts that we point out. (shrink)

We sought to compare the implicit and explicit views of a group of Muslim graduates on the fairness of Islamic law. In this preliminary investigation, we used the Electroencephalographic N400 Event Related Potential to detect the participant’s implicit beliefs. It was found that the majority of participants, eight out of ten, implicitly held that Islamic Law was unfair despite explicitly stating the opposite. In seeking to understand what separated these eight participants from the remaining two – the two who both (...) implicitly and explicitly held that Islamic Law was fair – only two distinguishing characteristics could be identified. Both participants had undertaken an in-depth study of a branch of Islamic law that places the spirit of the law above that of a literal interpretation. They had also attended the same seminary, exclusive to the other participants. Of the eight participants, it was discovered that, while they implicitly held Islamic law to be unfair, they also held it to be rational – in the same way they found that it was rational to push a person of a ship in order to save the remaining from drowning, yet unfair. We discuss these preliminary findings and consider theories on how an innate sense of fairness, an aspect of nativism, may come into play when it is not congruent with a participant’s own beliefs. Further, we ask, where such an inconsistency occurs, how does the mind attempt to rectify it – if at all? As a possible contribution to the discussion on theories of nativism vs. empiricism we put forward a hypothesis and methodology for investigation that may produce previously unconsidered data on human nature. (shrink)

Every person has his/her own unique signature that is used mainly for the purposes of personal identification and verification of important documents or legal transactions. There are two kinds of signature verification: static and dynamic. Static(off-line) verification is the process of verifying an electronic or document signature after it has been made, while dynamic(on-line) verification takes place as a person creates his/her signature on a digital tablet or a similar device. Offline signature verification is not efficient and slow for a (...) large number of documents. To overcome the drawbacks of offline signature verification, we have seen a growth in online biometric personal verification such as fingerprints, eye scan etc. In this paper we created CNN model using python for offline signature and after training and validating, the accuracy of testing was 99.70%. (shrink)

Buildings energy consumption is growing gradually and put away around 40% of total energy use. Predicting heating and cooling loads of a building in the initial phase of the design to find out optimal solutions amongst different designs is very important, as ell as in the operating phase after the building has been finished for efficient energy. In this study, an artificial neural network model was designed and developed for predicting heating and cooling loads of a building based on a (...) dataset for building energy performance. The main factors for input variables are: relative compactness, roof area, overall height, surface area, glazing are a, wall area, glazing area distribution of a building, orientation, and the output variables: heating and cooling loads of the building. The dataset used for training are the data published in the literature for various 768 residential buildings. The model was trained and validated, most important factors affecting heating load and cooling load are identified, and the accuracy for the validation was 99.60%. (shrink)

The study aimed to identify the availability of the resource and partnership standard as one of the possibilities of excellence in Palestinian universities according to the European model. The study used the analytical descriptive method. The study was conducted on the university leadership at Al - Azhar and Islamic Universities, where the study population consisted of (282) individuals. The study sample consisted of (135) individuals, (119) of them responded, and the questionnaire was used in collecting the data. The study has (...) reached a number of results, the most important of which is the existence of a high standard of resources and partnership in the Palestinian public universities operating in the southern governorates. The fields of the resource and partnership criteria were as follows: (79.8%) management of internal and external partnerships; management of technical resources (technology) (76.4%), Buildings, equipment and resources (76%), Finance Management (72.8%). The study presented a number of recommendations, the most important of which is: Increasing the interest of universities in applying the criteria of resources and partnership as one of the criteria of excellence, increasing the interest of universities in managing finance and obtaining funding for their various activities, periodic maintenance of buildings and equipment and ensuring their suitability to the requirements of the educational process. (shrink)

The study aimed at identifying the intermediate role of the criterion of emphasis on students and beneficiaries in the relationship between adopting the criterion of partnership and resources and achieving the satisfaction of the society. The study used the analytical descriptive method. The study was conducted on university leadership in Al-Azhar, Islamic and Al-Aqsa Universities. The sample of the study consisted of (200) individuals, 182 of whom responded, and the questionnaire was used in collecting the data. The study reached a (...) number of results, the most important of which were: The level of adoption by the Palestinian universities of the criterion of partnership and resources came to a large extent. The level of adoption by the Palestinian universities of the criterion of emphasis on the beneficiary students was very high. The criterion of partnership and resources to achieve the satisfaction of the community surrounding the Palestinian universities, the existence of a statistically significant impact of the adoption of the criterion of partnership and resources to strengthen the focus on students benefiting in Palestinian universities, The focus on the students benefiting from the satisfaction of the community surrounding the Palestinian universities, the existence of a statistically significant impact on the adoption of the criterion of partnership and resources to achieve the satisfaction of the community surrounding the Palestinian universities, The study presented a number of recommendations, most important of which are: Increase interest in the resource and partnership criterion through enhancing the university's resources and developing internal and external partnerships to serve the university and the society. Increase the focus on students and beneficiaries by providing an appropriate educational environment and academic programs that meet the needs of the labor market. Through the strengthening of existing community service centers and the establishment of new community centers, strengthening the partnership of industrial companies and promoting scientific research for the benefit of universities and society. -/- . (shrink)

The best-known argument for Evidential Decision Theory (EDT) is the ‘Why ain’cha rich?’ challenge to rival Causal Decision Theory (CDT). The basis for this challenge is that in Newcomb-like situations, acts that conform to EDT may be known in advance to have the better return than acts that conform to CDT. Frank Arntzenius has recently proposed an ingenious counter argument, based on an example in which, he claims, it is predictable in advance that acts that conform to EDT will do (...) less well than acts that conform to CDT. We raise two objections to Arntzenius’s example. We argue, first, that the example is subtly incoherent, in a way that undermines its effectiveness against EDT; and, second, that the example relies on calculating the average return over an inappropriate population of acts. (shrink)

We describe the earliest occurrences of the Liar Paradox in the Arabic tradition. e early Mutakallimūn claim the Liar Sentence is both true and false; they also associate the Liar with problems concerning plural subjects, which is somewhat puzzling. Abharī (1200-1265) ascribes an unsatisfiable truth condition to the Liar Sentence—as he puts it, its being true is the conjunction of its being true and false—and so concludes that the sentence is not true. Tūsī (1201-1274) argues that self-referential sentences, like the (...) Liar, are not truth-apt, and defends this claim by appealing to a correspondence theory of truth. Translations of the texts are provided as an appendix. (shrink)

The study aimed to identify the intermediate role of the standard of operations in the relationship between the focus on students and beneficiaries in achieving satisfaction of students in Palestinian universities. The study used the analytical descriptive method. The study was conducted on university leadership in Al-Azhar, Islamic and Al-Aqsa Universities. The study sample consisted of (200) individuals, 182 of whom responded, and the questionnaire was used in collecting the data. The results of the study were as follows: - There (...) is a statistically significant effect on the adoption of the criterion of focus on the students benefiting to achieve the satisfaction of students in the Palestinian universities, where the value of R Square (35.3%), there is a statistically significant effect on the adoption of the criterion of focus on the students benefiting on the use of the standard of operations in Palestinian universities. The value of the R Square is (62.8%), there is a statistically significant impact of the criterion of operations on the satisfaction of students in Palestinian universities. Where the value of the R is (36.2%), there is a significant effect on the adoption of the criterion of emphasis on students benefiting from the satisfaction of students in Palestinian universities with the existence of the standard of operations as an intermediary variable. The role of the mediator in the relationship between the adoptions of the criterion of focus on the students benefiting to achieve the satisfaction of students in Palestinian universities was revealed through the use of Path Analysis. The study presented a number of recommendations, the most important of which is: to increase the focus of the universities on students and beneficiaries in a manner appropriate to achieve the objectives of the university on the one hand, and students and beneficiaries on the other, and in line with the approach of quality and excellence, the universities more attention to the management of operations through the design and development of programs Academic and internal services according to the needs of students, and improving processes in innovative ways to generate added value for students and beneficiaries, the universities have made more efforts to create satisfaction among students and beneficiaries by developing internal performance indicators to measure student satisfaction, Students and other university beneficiaries periodically to improve their satisfaction. (shrink)

In computer science, Artificial Intelligence (AI), sometimes called machine intelligence, is intelligence demonstrated by machines, in contrast to the natural intelligence displayed by humans and other animals. Computer science defines AI research as the study of "intelligent agents": any device that perceives its environment and takes actions that maximize its chance of successfully achieving its goals. Deep Learning is a new field of research. One of the branches of Artificial Intelligence Science deals with the creation of theories and algorithms that (...) allow the machine to learn by simulating neurons in the human body. Most in-depth learning research focuses on finding high-level methods. The strippers analyze a large data set using linear and nonlinear transformations. The method of deep learning is used in the detection of several diseases including blood cell diseases and their classification using the radiography of blood cells to help decision makers to know the type of blood cell and its associated diseases and the results will be presented in detail and discussed. This thesis is using python language and deep learning to detect blood cell diseases and their classifications. The proposed deep learning model was trained, validated and the tested. The accuracy of proposed model was 98.00%. (shrink)

Whipple disease is a rare, infectious, disease first described from a single case by Whipple in 1907. As well as characterising the clinical and pathological features of the condition, Whipple made two suggestions regarding its aetiology. These were either than the disease was caused by an infectious agent, or that it was of metabolic origin. As the disease is now thought to be caused by infection with the bacterium Tropheryma whipplei, historical reviews of the history of the disease typically mention (...) only the first of these suggestions. In this paper, we therefore revisit Whipple’s other theory. We argue that a diverse and often successful research programme was developed around this mechanism of disease causation which gave rise to many useful findings on the condition. In the later parts of this article, we then turn to discuss the surprising neglect of this period of Whipple disease research in the current literature, and conclude by offering a brief reconstruction of this early history suitable for use in a technical context. (shrink)

This discussion note examines a recent argument for the principle that any counterfactual with true components is itself true. That argument rests upon two widely accepted principles of counterfactual logic to which the paper presents counterexamples. The conclusion speculates briefly upon the wider lessons that philosophers should draw from these examples for the semantics of counterfactuals.

I begin and conclude the article by arguing that culturalisation has contributed significantly to the decline of the Left and its universal ideals. In the current climate of public opinion, ‘race’ is no longer used, at least openly, as a scientific truth to justify racism. Instead, ‘culture’ has become the mysterious term that has made the perpetuation of racist discourse possible. ‘Culture’, in this newracist worldview, is the unquestioned set of traits continually attributed to the non-White Other, essentially to de-world (...) her Being and de-individualise her personhood. In other words, ‘culture’, as it is used in the old anthropological sense, is the magic incantation with which the Other is demonised, mystified, and/or ridiculously oversimplified. I focus on the phenomenon of ‘culturalisation’ as a common new-racist method of de-politicising the Other’s affairs and surrounding socio-political phenomena. The article is an attempt to discredit the paradigm of ‘culture’ as a pseudo-concept used commonly in cultural racism. This cultural racism routinely assumes ‘culture’ to be a natural given almost exactly as the pseudo-scientific paradigm ‘race’ was (and is still) used in some discourses of biological racism. If mentality X attributes categorical differences to different groups of people based on A and A is assumed to be natural, ahistorical, and/or metaphysical, then X is a racist mentality. Obviously, A does not have to be skin-color or ‘blood’ in order for X to be racist. (shrink)

Islam' literally means submission but when the term is used in a religious context it means submission to Allah alone. Accordingly, a Muslim is one who submits to the Divine injunctions and does not deviate from them. "Al-Islam implies that you testify that there is no god but Allah and that Muhammad is the Messenger of Allah and you establish prayer, pay zakat, observe the fast of Ramadan, and perform pilgrimage to Holy Ka'ba at Mecca once in a lifetime if (...) you are solvent enough (to bear the expense of) journey". The most important principle in Islam is worshiping one and only one God. Islam calls for human rights; no one is better than another with his colour, race, gender, or culture. All are equal and difference among people is based on piety and doing good deeds. Islam considers all human free and has free will. Islam calls protecting environment. Islam calls all people to recognize that our life in the planet is short and that we should prepare ourselves for the second eternal life where everyone will be judged by the Creator in what he did in his first life for himself, community, and environment. In brief, the teachings of Islam are based on Quran (Holy book of God revelation to prophet Mohamed) and Prophet Mohamed (peace upon him) sayings and practices. The teachings are based on two wings: Worship: This is to follow the five pillars of Islam and believe in the 6 pillars of faith. Good deeds: This to do what is beneficial to community and to mankind. The fulfilment of these duties means the fulfilment of the remaining duties as well. That is why it is mentioned in a tradition that only these duties have been called "Islam". Language: Arabic. (shrink)

This study aimed to identify the availability of business process re-engineering requirements in Palestinian industrial companies, and to identify the nature of relationship and direction between business process re-engineering requirements and product quality in these companies, in addition to determine whether the market orientation plays a mediating role in the relationship between business process re-engineering requirements and product quality. To achieve study objectives, the researcher designed a questionnaire as a study tool, was distributed on sample of (231) employee selected from (...) the senior management in Palestinian industrial companies. The results shows: business process re-engineering requirements (Organizational, Technological, Human) are available in Palestinian industrial companies with a large degree. There is a positive impact with a statistical significance the availability of business process re-engineering requirements on market orientation and achieving product quality in Palestinian industrial companies. There is a positive impact with a statistical significance the market orientation adoption and achieving product quality in Palestinian industrial companies. Results revealed that market orientation mediating the relationship between business process re-engineering requirements and achieving product quality. The Main recommendations: Needing of senior management to make attention about modern management methods, as well as relying on scientific and field approach to solve and tackle problems. Senior management should be recognize the importance of market orientation, and works on linking it with information systems, and it's basic center should be concentrates on meeting customer needs. Key words: strategic orientation, modern management methods, operational performance, product quality, marketing . (shrink)

Abstract: Pistachio nuts are a valuable source of nutrition and are widely cultivated for commercial purposes. The accurate classification of different pistachio varieties is important for quality control and market analysis. In this study, we propose a new model for the classification of different pistachio varieties using Convolutional Neural Networks (CNNs). We collected a dataset of pistachio images form Kaggle depository with two varieties (Kirmizi and Siirt). The images were then preprocessed and used to train a CNN model based on (...) VGG16. We evaluated the performance of the VGG16 on a held-out test set. Our results show that the CNN-based model VGG16 performed very well in terms of accuracy and efficiency. The VGG16 model was able to accurately classify different pistachio varieties with an accuracy of over 99.91%. Additionally, the VGG16 was able to generalize well to new and unseen data, demonstrating its ability to handle variability in the pistachio images. This study highlights the potential of CNNs for the classification of different pistachio varieties, and has important implications for the pistachio industry. The results suggest that this approach can be used to improve the quality control process and enhance market analysis. (shrink)

The objective of this paper is to study algebraic properties of neutrosophic matrices, where a necessary and sufficient condition for the invertibility of a square neutrosophic matrix is presented by defining the neutrosophic determinant. On the other hand, this work introduces the concept of neutrosophic Eigen values and vectors with an easy algorithm to compute them. Also, this article finds a necessary and sufficient condition for the diagonalization of a neutrosophic matrix.

Abstract: This study introduces a machine learning-based model for predicting student performance using a comprehensive dataset derived from educational sources, encompassing 15 key features and comprising 62,631 student samples. Our five-layer neural network demonstrated remarkable performance, achieving an accuracy of 89.14% and an average error of 0.000715, underscoring its effectiveness in predicting student outcomes. Crucially, this research identifies pivotal determinants of student success, including factors such as socio-economic background, prior academic history, study habits, and attendance patterns, shedding light on the (...) nuanced dynamics of student performance. The key influential features identified in this study offer valuable insights into the complex factors shaping student achievement. These insights are vital for educators, policymakers, and institutions seeking to enhance educational outcomes and promote equitable access to quality education. This research provides a data-driven foundation for proactive interventions, personalized learning strategies, and support systems, ultimately contributing to improved student performance and academic success. The high accuracy of the predictive model and the feature analysis it provides empower decision-makers in the education sector. This model holds significant potential for applications in student performance monitoring, early intervention, and tailored educational strategies. By adopting a data-driven approach, this work advances the field of educational analytics and contributes to the goal of fostering student success and educational equity. (shrink)

A decision problem where Causal Decision Theory (CDT) declines a free $1,000, with the foreseeable effect that the agent is $1,000 poorer, and in no other way better off, than if she had taken the offer.

Karl Marx states in Capital that “man, if not as Aristotle thought a political animal, is at all events a social animal” (Marx, 1992, 444). That Marx draws from Aristotle’s work has been long-recognized, but one could argue that Marx’s very conception of man—what he calls “species-being”—is a derivative of Aristotle’s theory of the good life. This article explores the Aristotelian underpinnings of Marx’s political philosophy and argues that Marx’s theory of species-being and human emancipation supervenes upon Aristotle’s theory of (...) eudaimonia. The consequence of such a rethinking suggests that the Aristotelian good life itself is possible only in the communist society of Marx’s imaginings and, as such, is a state that must be realized—whether by nature or revolution—for human flourishing. Inspired by Aristotle’s assertion that “friendship exists to the extent that what is just exists” (Aristotle, 1991a, 527), this article draws from several of Aristotle’s and Marx’s texts to situate man as an inherently social being, whose need of other men serves both to edify and realize a common end toward which the state is oriented: the life of virtuous activity performed by and in an association of equals. (shrink)

Causal Decision Theory reckons the choice-worthiness of an option to be completely independent of its evidential bearing on its non-effects. But after one has made a choice this bearing is relevant to future decisions. Therefore it is possible to construct problems of sequential choice in which Causal Decision Theory makes a guaranteed loss. So Causal Decision Theory is wrong. The source of the problem is the idea that agents have a special perspective on their own contemplated actions, from which evidential (...) connections that observers can see are either irrelevant or invisible. (shrink)

A choice function C is rational iff: if it allows a path through a sequence of decisions with a particular outcome, then that outcome is amongst the ones that C would have chosen from amongst all the possible outcomes of the sequence. This implies, and it is the strongest definition that implies, that anyone who is irrational could be talked out of their own preferences. It also implies weak but non-vacuous constraints on choices over ends. These do not include alpha (...) or beta. (shrink)

Al-Taftāzānī introduces the Liar Paradox, in a commentary on al-Rāzī, in a short passage that is part of a polemic against the ethical rationalism of the Muʿtazila. In this essay, we consider his remarks and their place in the history of the Liar Paradox in Arabic Logic. In the passage, al-Taftāzānī introduces Liar Cycles into the tradition, gives the paradox a puzzling name—the fallacy of the “irrational root” —which became standard, and suggests a connection between the paradox and what it (...) tells us about truth and falsehood, and arguments for divine voluntarism and what they tell us about the nature of goodness and badness. On this last point, we also discuss a passage from al-Rāzī, which suggests similar connections. (shrink)

Programming artificial intelligence to make fairness assessments of texts through top-down rules, bottom-up training, or hybrid approaches, has presented the challenge of defining cross-cultural fairness. In this paper a simple method is presented which uses vectors to discover if a verb is unfair or fair. It uses already existing relational social ontologies inherent in Word Embeddings and thus requires no training. The plausibility of the approach rests on two premises. That individuals consider fair acts those that they would be willing (...) to accept if done to themselves. Secondly, that such a construal is ontologically reflected in Word Embeddings, by virtue of their ability to reflect the dimensions of such a perception. These dimensions being: responsibility vs. irresponsibility, gain vs. loss, reward vs. sanction, joy vs. pain, all as a single vector. The paper finds it possible to quantify and qualify a verb as fair or unfair by calculating the cosine similarity of the said verb’s embedding vector against FairVec—which represents the above dimensions. We apply this to Glove and Word2Vec embeddings. Testing on a list of verbs produces an F1 score of 95.7, which is improved to 97.0. Lastly, a demonstration of the method’s applicability to sentence measurement is carried out. (shrink)

Abstract. Suppose that the word of an eyewitness makes it 80% probable that A committed a crime, and that B is drawn from a population in which the incidence rate of that crime is 80%. Many philosophers and legal theorists have held that if this is our only evidence against those parties then (i) we may be justified in finding against A but not against B; but (ii) that doing so incurs a loss in the accuracy of our findings. This (...) paper argues against (ii). It argues that accuracy considerations can motivate taking different attitudes towards individualized and statistical evidence even across cases where they generate the same probability that the defendant is guilty. (shrink)

This paper posits that our understanding of reality is shaped by our cognitive tools, particularly our inclination to establish hierarchies of importance. By examining the nature of causation and correlation, the text argues that correlation is a more primordial concept, preceding causation in human cognition. This framework is applied to the analysis of human motivation, where the concepts of procreation, meaning, and power are evaluated as potential core drivers. Ultimately, the paper proposes continuity as the most self-serving core, underlying human (...) behavior and emotions. The implications of this finding for understanding human nature and the potential for future cognitive evolution are briefly explored. (shrink)

Cardiovascular diseases, including heart disease, pose a significant global health challenge, contributing to a substantial burden on healthcare systems and individuals. Early detection and accurate prediction of heart disease are crucial for timely intervention and improved patient outcomes. This research explores the potential of neural networks in predicting heart disease using a dataset collected from Kaggle, consisting of 1025 samples with 14 distinct features. The study's primary objective is to develop an effective neural network model for binary classification, identifying the (...) presence or absence of heart disease. The neural network architecture includes an input layer, a hidden layer, and an output layer, designed to capture intricate relationships within the dataset. Rigorous training and validation processes, accompanied by data preprocessing steps, ensure the model's robustness and generalization capabilities. The results demonstrate promising performance, with an accuracy of 92% and an average error of 0.062. Moreover, an analysis of feature importance highlights key predictors, including "oldpeak," "thalach," "trestbps," "ca," "thal," "cp," "chol," "sex," "restecg," "age," "slope," "fbs," and "exang." This research contributes to the field of predictive healthcare by leveraging neural networks to enhance heart disease prediction. The developed model offers the potential for early identification of individuals at risk, facilitating timely medical interventions and ultimately improving public health. Further exploration of machine learning techniques in healthcare promises to reshape disease prediction and prevention strategies. (shrink)

The aesthetic theory of AlHasan Ibn AlHaytham, known in Latin as Alhazen , has hardly received any attention in the realm of aesthetic investigations. The aesthetic theory is based on twenty-two criteria, which he describes in his book, Kitab Almanazir, better known in Latin as Optica. To illustrate the notion of beauty presented in Optica, one has to understand Alhazen's cultural encyclopedia based on classical Greek knowledge and Islamic sciences. The Greeks and the Egyptians before them, relied on the concepts (...) of measure and geometry as the foundation of aesthetic criteria. By examining the third chapter of Optica, one can see that Alhazen does not look upon these traditional concepts as the fundamental principles of beauty, but he approaches the problem differently. He addresses it as a continuation of his research theme in Optica--to present a proper theory of vision. He dilates upon his twenty-two characteristics as they can be perceived by sight. Alhazen calls these different characteristics the "visible properties" . Explaining each of these properties and the way they are perceived, Alhazen comes up with a hypothesis of "how to entitle an object to be considered beautiful" and a new interpretation of beauty, which is based upon the visual qualities of visible objects. This search of Alhazen hypothesis is essential for drawing architecture out of the present condition of impasse. (shrink)

Abstract: The aim behind analyzing Google Stock Prices dataset is to get a fair idea about the relationships between the multiple attributes a day might have, such as: the opening price for each day, the volume of trading for each day. With over a hundred thousand days of trading data, there are some patterns that can help in predicting the future prices. We proposed an Artificial Neural Network (ANN) model for predicting the closing prices for future days. The prediction is (...) based on these features (date, opening price, highest price, lowest price, volume), which were used as input variables and (closing price) as output variable for our ANN model. Our model was created, trained, and validated using data set in JNN environment, which its title is “Google-Stock-Prices”. The model evaluation showed that the ANN model is able to predict correctly 99.48% of the validation samples. (shrink)

The producers of Automobile products innovated a new thought of designing the two- wheelers in such a way to attract the women. Today most of the women prefer to travel through two-wheelers. A wide variety of two-wheelers of all category light- weighted, medium – weighted and heavy weighted vehicles have been introduced in the market. The objective of the study is to know the preference and satisfaction of women consumers over two-wheelers and the various aspects, which determines the purchase or (...) buying behavior and to know the expectations of women consumers over two-wheelers. The sample size of the study was conducted in Tiruchirappalli city with 75 respondents through Non-Probability Random Sampling Method. The tools and techniques used were simple percentage, chi-square and ANOVA. The obtained result of the study that majority of the women prefer TVS Scooty and most of the respondents prefer two wheelers due to convenient while driving and majority of the respondents have great impact on colour and model prefer the vehicle. New inventions and designs were introduced to meet the requirements of the current day affaires. (shrink)

In light of the theme of the 5th World Conference on Women's Studies 2019, 'Activism, Solidarity and Diversity: Feminist Movements Toward Global Sisterhood', this article contends that Sherley Anne Williams's Dessa Rose (1986) is an appeal for an American bond of sisterhood between feminists and womanists. In the process, it examines the relationship between the novel's two Black and White heroines, Dessa Rose and Ruth Sutton respectively, through the lens of Bonnie Thornton Dill's definition of sisterhood in her seminal work, (...) Race, Class, and Gender: Prospects for an All-Inclusive Sisterhood. While discomfort and distrust encircle their first encounter in the Sutton's Glen, equality, reciprocation, and trust adorn their sisterhood in their last encounter in jail. Such a sisterhood is the aftermath of both women's realization that they are both subjects to White men's patriarchy. Williams's use of both heroines as microcosms for Black and White women addresses the widening gap in the 1980s and today between feminists and womanists for an American sisterhood in black and white. (shrink)

Abstract: The present research was aimed to explore the nature of Children on the Street’s relationship with Society and its impacts such as living conditions, basic needs; behaviour of people and police, education, harassment. Using the purposive and convenience sampling technique, forty children on the street were selected for interviews from the areas, Golra Shareef and Bari Imam of Islamabad. Interview based questionnaire has been used as research tool and based on that questionnaire, analysis is provided in chapter four with (...) details. The results indicate that the main factors behind pushing children to the street are poverty, unemployment, orphaned, and disability, which leads these children towards terrorism and many other social evils. Such children are viewed negatively by the people and are considered a social burden. This research revealed that most of the children on the street face harassment but females face more than males. Children on the street are abused physically by police as well. It also focused that the behavior of society towards street children is not positive. Street is the most dangerous and threatening place for physical and sexual abuse. (shrink)

This study employs a neural network to analyze the connection between smoking, drinking, and various health-related factors using a dataset of 5148 samples. Achieving an impressive 99.94% accuracy and an average training error of 0.0016, the model identifies influential factors such as serum aminotransferases, serum creatinine, sex, weight, and triglyceride levels. These findings enhance our understanding of lifestyle choices and their impact on health. This research underscores the potential of machine learning in studying complex health phenomena.

Abstract: Background: In spite of the fact that computers continue to improve in speed and functions operation, they remain complex to use. Problems frequently happen, and it is hard to resolve or find solutions for them. This paper outlines the significance and feasibility of building a desktop PC problems diagnosis system. The system gathers problem symptoms from users’ desktops, rather than the user describes his/her problems to primary search engines. It automatically searches global databases of problem symptoms and solutions, and (...) also allows ordinary users to contribute exact problem reports in a structured manner. Objectives: The main goal of this Knowledge Based System is to get the suitable problem desktop PC symptoms and the correct way to solve the errors. Methods: In this paper the design of the proposed Knowledge Based System which was produced to help users of desktop PC in knowing many of the problems and error such as : Power supply problems, CPU errors, RAM dumping error, hard disk errors and bad sectors and suddenly restarting PC. The proposed Knowledge Based System presents an overview about desktop PC hardware errors are given, the cause of fault are outlined and the solution to the problems whenever possible is given out. CLIPS Knowledge Based System language was used for designing and implementing the proposed expert system. Results: The proposed PC desktop troubleshooting Knowledge Based System was evaluated by IT students and they were satisfied with its performance. (shrink)

Abstract: Good governance practices is a cornerstone for a country’s sustainable development whether socially, economically, culturally, morally or spiritually and in both national and international astute. Mostly, the significance of good governance practices is objective for an individual country in respect of economic efficiency and growth. Good governance is conducive to macroeconomic stability, external viability and sustainable development [1]. While the concepts of “governance” and “good governance” are not “new” in development literatures, is still receiving a mounting attention in recent (...) years especially in developing countries including Tanzania. Since independence of Tanganyika by then, and after the union of Tanganyika and Zanzibar, United Republic of Tanzania made many attempts to improve her governance system. It is in this line therefore, this paper aiming to analyze government initiatives in achieving good governance practices in Zanzibar. Using descriptive approach, government institutions in Zanzibar found to implement an outdated good governance policy. However, the initiatives taken so far in adopting good governance practices are stronger and the society has changed as a result of their realization which is due to those initiatives taken by the government in achieving good governance practices. This study was conducted in selected departments under President’s Office, Justice, Constitutional Affairs, Public Service and Good Governance since they have overall mandate of implementing good governance in Zanzibar [2]. The study employed both qualitative and quantitative methods. Qualitative method was used in the form of interviews while quantitative method was used in the form of questionnaires. Findings revealed that, the people of Zanzibar appreciates and have positive attitudes and perceptions towards the initiatives taken by their Government in adopting good governance practices although impediments like availability of an outdated good governance policy, inadequate public awareness on good governance, inadequate good governance budget from central government, poor technology and office politics were mentioned to hindering these initiatives. However, to a great extent the government of Zanzibar succeed in adopting good governance practices in a way that society observes it and practically executes good governance principles. Based on the findings, this study recommends government of Zanzibar to review and updates her good governance policy, allocate enough budget that enables responsible institutions to efficiently and effective implement good governance practices programs and activities which including provision of awareness creation and civic education curricula especially in remote area of the country which will facilitates and speedup the elimination of factors hindering adoption of good governance practices in Zanzibar and Tanzania at large. (shrink)

Abstract: This study is aimed to examine the role of youth in National Assembly Elections-2013 in Islamabad. After May,11, 2013 General Elections a Elections commission of Pakistan reported that due to involvement of youth the huge turnout in the elections first time in the Pakistanâ’s history. This study also examines this claim and analyzes different factors due to which young people are more involved in political process. It addresses different mobilization trends of political parties create interest among youth; their attitude (...) towards the political institutions; their perception about the effectiveness of political parties and politicians; and their need to have a platform for their political ideology. This study also examines whether Socio-political culture of politics in Pakistan is responsible in shaping young peoples’ values and views on politics. Furthermore, it also focused the uses of media and Specially social media among the youth for campaigns by different political parties. It is also highlighted in the research that youth is seems frustrate before elections-2013. This descriptive study is qualitative in nature. This study collected a sample of 50 youth from educational institutions as well as from kachi abadis of Islamabad. The findings reveal that young people were frustrate due to traditional politics in Pakistan, lack of political education and political socialization. This study finds out that young people are aware of political scenario and they do take interest in political talk shows in the media but this awareness and interest does not always translate into formal or conventional engagement with political party structures through membership etc. The conclusion that new mobilization trends specially social media attract the young people towards National Assembly Elections and increasing the political interest which also leads towards higher voter turnout in the General elections-2013. (shrink)