Mental health among students is one of the major concerns amidst the pandemic. Employing a correlational design, this study investigates the relationship between emotional intelligence and mental health among 152 senior high school students. Based on the statistical analysis, the r coefficient of 0.82 indicates a high positive correlation between the variables. The p-value of 0.00, which is less than 0.05, leads to the decision to reject the null hypothesis. Hence, a significant relationship exists between emotional intelligence and mental health (...) among senior high school. Implications were discussed in the study. (shrink)

Why is it more violating to grab a stranger’s thigh or stroke their face than it is to grab their forearm? Why is it worse to read someone’s dream journal without permission than it is to read their bird watching field notes? Why are gestation mandates so incredibly intrusive? Intimacy is key to understanding these cases, and to explaining many of our most stringent rights. -/- I present two ways of thinking about intimacy, Relationship-First Accounts and the Intimate Zones Account. (...) I argue that only the Intimate Zones Account lets us cohesively understand intimacy’s importance, and the scope of our intimate rights. I characterize our intimate zones as meeting the Hiddenness and Importance Conditions. A feature’s meeting these conditions makes it a locus of special vulnerability by which our persons can be fundamentally altered. This special vulnerability explains why our duties to respect the intimate boundaries of others are so strict. (shrink)

There are few moral principles less controversial than “don’t touch people’s private parts without consent.” Though the principle doesn’t make explicit that there are exceptions, there clearly are some. Parents must wipe their infants. If an unconscious patient is admitted to the emergency room with a profusely bleeding laceration on their genitals, a doctor must give them stitches. The researchers who proposed the study in question, which would look for a connection between burn patients’ microbiomes and their clinical outcomes, presumably (...) believed they had identified an additional exception to the aforementioned principle. I argue that they did not. Rather, because of their tremendous inherent risks, we ought only to perform intimate procedures on those who can’t consent when the procedure is for their own good. -/- Intimate violations have been overlooked in both philosophy and medicine. Because of this, we have lacked an adequate conceptual framework for identifying certain kinds of harms research can inflict. When we understand these special risks, we see that the IRB was right to deny a waiver of consent. (shrink)

My dissertation develops a defense of a right to self-defense against the state. I set aside anarchist theories and grant for the sake of argument that the state has legitimate political authority. My goal is to convince non-anarchists that the right to self-defense extends to individuals against the state and the state’s agents. I argue that the right to self-defense is a fundamental, negative, claim right. The right to self-defense has these characteristics: (1) it is fundamental, meaning that it is (...) not derivative of any other right—it doesn’t appeal to any other right for its justification (2) it is negative, meaning that it simply requires others to refrain from certain action, and (3) it is a claim right, rather than a permission right, which means that it logically entails correlative duties on others. I also challenge some basic tenets of the orthodox account of justified defensive force, including the imminence, necessity, and proportionality conditions. My argument is a controversial one; many will resist the idea that an individual could be justified in self-defense against the state for a variety of reasons, ranging from thinking the idea is absurd or dangerous, to thinking that even if it is morally permissible, it is impractical. I aim to rebut these objections and to provide strong moral reasons to show why individuals do in fact have this right. -/- This research explores the relationship between one of our most basic rights—the right to self-defense—with our most basic political relationship—the relationship between the individual and the state. Part of my aim is to convince non-anarchist readers of philosophical claims that are usually only supported by anarchists. The reason this is important, beyond being academically interesting, is that if I am successful, it could allow a great majority of individuals to rethink their relationship with the state; not just at a basic level, but also in other applied areas such as gun rights, drug laws, and issues surrounding punishment and imprisonment. (shrink)

The Black woman has always been portrayed in clichéd images in the white media, stereotyping them in a racist and sexist manner. In Black Women Image Makers, Mary Helen Washington dwells upon such unfair portrayals as the tragic mulatto, the hot blooded exotic whore and the strong Black Mammy. And this is probably why the black mother frequently appears in literature as a figure of towering strength. In Zora Neale Hurston’s Their Eyes Were Watching God (1937), an old grandmother, a (...) former slave, accurately describes her position in this society: "De nigger woman is de mule uh de world so fur as Ah can see". The black mother is not a woman with power, not a liberated woman, but a mule, picking up the burdens that everyone else has thrown down and refused to carry. To outsiders, the Negro mother appears to be the one-dimensional Rock of Gibraltar – strong of back, long of arm, incapable of destruction. The proposed paper would study the black mothers as portrayed in Alice Walker’s novels, The Third Life of Grange Copeland and Meridian. To Walker, the Black mother is an individual – profound, tragic, mysterious, sacred, and unfathomable – strong in many, but not in all ways. She claims that the assertion of the black mother as a superwoman is a myth, and she feels that the black mother isn’t always strong. A black man does have a history of ignoring his responsibilities, but the black mother has had no choice in any matter; she has had to pick up the burdens that no one else would carry. In her fiction, Walker introduces the real-feeling, caring, uncaring, disappointed, indifferent black mother to the world. (shrink)

-/- Abstract: The present paper investigates the empowering force of hybridity in female diasporant in Bharati Mukherjee’s outstanding novel Jasmine. The novel depicts Jasmine’s journey of transformation from a passive, traditional girl at the mercy of fate in a village in India to an active, modern, and most importantly cross-cultural hybrid woman in America. All through the novel, her identity is transformed in line with shifts in her name from Jyoti to Jasmine to Jazzy to Jane. Accordingly, she stands in-between (...) two cultures, shuttles between identities, welds opposing identities, enters the third space and emerges as a hybrid. The present study in the light of Homi Bhabha's insights seeks to demonstrate that immigrating, experiencing displacement and in-betweenness, and being positioned in the third space pave the way for Jasmine’s becoming a hybrid and being liberated. Besides, the study is to depict by creating a hybrid character, Bharati Mukherjee, the author, alludes to her own very hybridity. -/- . (shrink)

Based on Maldonado-Torres’s formulation of the term, we conceive the decolonial turn as a form of liberating and decolonising reason beyond the liberal and Enlightened emancipation of rationality, and beyond the more radical Euro-critiques that have failed to consistently challenge the legacies of Eurocentrism and white male heteronormativity (often Eurocentric critiques of Eurocentrism). We complement Maldonado-Torres’s account of the decolonial turn in philosophy, theory and critique by providing an analysis of the trajectories of academic philosophy and clarifying the relevance of (...) decolonising philosophy and of the decolonial turn for current efforts in transforming philosophy in face of the challenges of social movements such as the Third World Liberation Front and Black Lives Matter in the United States, and Rhodes Must Fall in South Africa and England. After a brief analysis of the trajectory and current status of philosophy as a discipline in the modern Western research university, we provide examples of the decolonial turn and of decolonising philosophy in three areas: the engagement with (1) Asian and (2) Latin American philosophies, and (3) debates in the philosophy of race and gender. (shrink)

Abstract: Rice is one of the most important staple crops in the world and serves as a staple food for more than half of the global population. It is a critical source of nutrition, providing carbohydrates, vitamins, and minerals to millions of people, particularly in Asia and Africa. This paper presents a study on using deep learning for the classification of different types of rice. The study focuses on five specific types of rice: Arborio, Basmati, Ipsala, Jasmine, and Karacadag. A (...) dataset of 75,000 images was collected and annotated, consisting of 15,000 images for each of the five types of rice. The deep learning system uses convolutional neural networks (CNNs) to classify images of rice grains based on their physical characteristics. The performance of the deep learning system was evaluated using metrics such as accuracy, precision, recall, and F1-score. The results show that the proposed deep learning system was able to achieve high accuracy in classifying the different types of rice, outperforming traditional image processing techniques. This study provides valuable insights into the potential of deep learning for classifying different types of rice and can be useful for applications such as quality control in rice processing industries and research in crop science. The large size of the dataset, 15,000 images for each type of rice, helped the deep learning system to learn the features of each type of rice, and increase the performance of the classifier. The attained overall accuracy of the proposed model (99.96%), Precision (99.96%), Recall (99.96%) and F1-score (99.96%). Thus, the proposed model proved that it leaned the five categories of rice and it can generalize these categories and it is effective. (shrink)

This book chapter is a work of popular philosophy that offers general readers an opportunity to reimagine their relationship to non-human creatures by living vicariously through the experience of Jasmin--a hypothetical college student whose encounters with a cow, goat, and rooster on a visit to a local farm trigger a transformation in her views and actions toward other animals, allowing her to see them for the first time as subjects of their own lives rather than as objects for human (...) use. Though the chapter is written from the perspective of Jasmin's own Christian religious heritage, her awakening to the importance of the lives of other animals and the practices she undertakes in order to live out that new vision resonate with other religious and non-religious traditions, implicitly engaging the traditions of philosophical hermeneutics (Hans-Georg Gadamer) and philosophy as a way of life through the practice of spiritual exercises (Pierre Hadot, Martha Nussbaum). This chapter would be appropriate for use in introduction to philosophy courses or first-year writing seminars that seek to offer students an invitational introduction to some of the big ideas in animal and environmental ethics without getting philosophically technical in ways that can alienate beginners. (shrink)

The truth in the NKJV Holy Bible that validates black spirituality and therefore , faithful and true and the lord of hosts.

I give an argument for veganism by drawing parallels between a) bestiality and animal fighting, and b) animal product consumption. Attempts to draw principled distinctions between the practices fail. The wrong-making features of bestiality and animal fighting are also found in animal product consumption. These parallels give us new insight into why popular objections to veganism, such as the Inefficacy Argument, are inadequate. Because it is often difficult to enact significant life changes, I hope that seeing the parallels between animal (...) product consumption and acts we are already so strongly motivated to avoid can help us abstain from animal products. (shrink)

Sollen wir Euklids Vorgehen in den Elementen als ein axiomatisches System verstehen—oder als ein System des natürlichen Schließens, in dem die Regeln und Prinzipien, denen wir in unserem Schließen folgen, dargelegt werden? Im Folgenden werde ich darstellen, wie Kenneth Manders, Danielle Macbeth, Marco Panza und andere in jüngster Zeit diese letztere Sicht als eine alternative Lesart von Euklids Elementen dargestellt haben. Insbesondere werde ich versuchen zu zeigen, dass wir in dieser Lesart Euklids eine Art der Argumentation vorfinden, die nicht bloß (...) auf Diagrammen basiert (wie dies auch in anderen diagrammatischen Darstellungen der Fall ist), sondern dass die Euklidische Geometrie hier als wesentlich diagrammatisch aufgefasst wird: Wir argumentieren und denken hier in dem Diagramm, und nicht bloß auf seiner Grundlage. (shrink)

Can agents be duty-bound towards ends that are infeasible? Some scholars have endorsed a “feasibility constraint” on justice and answered that we cannot be duty-bound to bring about the infeasible. In this paper, I question whether the feasibility constraint on justice should still be endorsed and whether we are duty-bound to pursue some aims regardless of this constraint. I ask: Can an ethical agent be duty-bound to work towards bringing about a state of affairs that is desirable but infeasible? I (...) consider the climate crisis: climate justice may require us to work towards ends that may be infeasible, such as maintaining global climate warming below 1.5°C or mitigating climate change in a way that treats all people affected fairly. I argue that we may be duty-bound or obliged to work towards some desirable goals when faced with the infeasible and conclude that we should reject feasibility constraints on climate justice. (shrink)

Background: Depression (major depressive disorder) is a common and serious medical illness that negatively affects how you feel, the way you think and how you act. Fortunately, it is also treatable. Depression causes feelings of sadness and/or a loss of interest in activities once enjoyed. It can lead to a variety of emotional and physical problems and can decrease a person’s ability to function at work and at home. Depression affects an estimated one in 15 adults (6.7%) in any given (...) year. And one in six people (16.6%) will experience depression at some time in their life. Depression can strike at any time, but on average, first appears during the late teens to mid-20s. Women are more likely than men to experience depression. Some studies show that one-third of women will experience a major depressive episode in their lifetime. Objectives: The main goal of this expert system is to get the appropriate diagnosis of disease and the correct treatment and give the appropriate method of treatment through several tips that concern the disease and how to treat it and we will see it through the application on the expert system. Methods: in this paper the design of the proposed Expert System which was produced to help Psychologist in diagnosing depression disease through its symptoms such as: a loss of energy, a change in appetite, sleeping more or less, anxiety, reduced concentration, indecisiveness, restlessness, feelings of worthlessness, guilt or hopelessness and thoughts of self-harm or suicide. The proposed expert system presents an overview about depression disease is given, the cause of diseases is outlined and the treatment of disease whenever possible is given out. SL5 Object Expert System language was used for designing and implementing the proposed expert system. Results: The proposed depression disease diagnosis expert system was evaluated by psychologist students and they were satisfied with its performance. Conclusions: The Proposed expert system is very useful for psychologist, patients with depression and newly graduated psychologist. (shrink)

This paper aims at helping trainees to overcome the difficulties they face when dealing with Arduino platform by describing the design of a desktop based intelligent tutoring system. The main idea of this system is a systematic introduction into the concept of Arduino platform. The system shows the circuit boards of Arduino that can be purchased at low cost or assembled from freely-available plans; and an open-source development environment and library for writing code to control the board topic of Arduino (...) platform. The system is adaptive with the trainee’s individual progress. The system functions as a special tutor who deals with trainees according to their levels and skills. Evaluation of the system has been applied on professional and unprofessional trainees in this field and the results were good. (shrink)

The study aims to identify the efficiency of the university education performance from the perspective of postgraduate and undergraduate students in international and Palestinian universities. The analytical descriptive approach was used for this purpose and the questionnaire was used as a main tool for data collection. The study community consists of: post graduate students, (23850) graduate students and (146355) undergraduate students. The sample of the study was 378 graduate students and 383 undergraduate students. The random stratified sample was used. The (...) Statistical Package of Social Sciences (SPSS) was also used for data analysis. The study reached a number of results, the most important of which are: The level of efficiency of educational performance in Palestinian and international universities from the point of view of postgraduate and undergraduate students was high. And that there are significant differences between the average views of the sample of the study on the efficiency of educational performance in Palestinian and international universities attributed to the University and to the benefit of international universities. The study concluded many recommendations, the most important of which is the necessity of continuing to develop e-learning strategies that affect the efficiency of educational performance and research commensurate with the university's position in the local and international community, which puts it on the best classification between local and international universities through e-learning. (shrink)

Abstract: Smoke detectors are critical devices for early fire detection and life-saving interventions. This research paper explores the application of Artificial Neural Networks (ANNs) in smoke detection systems. The study aims to develop a robust and accurate smoke detection model using ANNs. Surprisingly, the results indicate a 100% accuracy rate, suggesting promising potential for ANNs in enhancing smoke detection technology. However, this paper acknowledges the need for a comprehensive evaluation beyond accuracy. It discusses potential challenges, such as overfitting, dataset size, (...) and class imbalance, and presents strategies employed to address these issues. Additionally, the paper emphasizes the importance of alternative evaluation metrics, including precision, recall, and F1-score, to assess the model's performance comprehensively. Detailed information regarding the model architecture, data preprocessing, and hyperparameter tuning is provided to enhance the reproducibility of the research. The study also discusses ethical considerations and the implications of false positives and false negatives in smoke detection applications. While achieving 100% accuracy is a notable accomplishment, this paper calls for cautious interpretation and further validation in real-world settings. It concludes by highlighting areas for future research and improvement in smoke detection technology, emphasizing the need for practical deployment and the reduction of false alarms. (shrink)

Standard methods in experimental philosophy have sought to measure folk intuitions using experiments, but certain limitations are inherent in experimental methods. Accordingly, we have designed the Free-Will Intuitions Scale to empirically measure folk intuitions relevant to free-will debates using a different method. This method reveals what folk intuitions are like prior to participants' being put in forced-choice experiments. Our results suggest that a central debate in the experimental philosophy of free will—the “natural” compatibilism debate—is mistaken in assuming that folk intuitions (...) are exclusively either compatibilist or incompatibilist. They also identify a number of important new issues in the empirical study of free-will intuitions. (shrink)

Abstract: Online book review platforms generate vast user data, making accurate rating prediction crucial for personalized recommendations. This research explores neural networks as simple models for predicting book ratings without complex algorithms. Our novel approach uses neural networks to predict ratings solely from user-book interactions, eliminating manual feature engineering. The model processes data, learns patterns, and predicts ratings. We discuss data preprocessing, neural network design, and training techniques. Real-world data experiments show the model's effectiveness, surpassing traditional methods. This research can (...) enhance user experience, book catalog organization, and aid publishers, simplifying recommendation processes and providing tailored suggestions based on user preferences. (shrink)

There is no doubt that custard apple diseases are among the important reasons that destroy the Custard Apple plant and its agricultural crops. This leads to obvious damage to these plants and they become inedible. Discovering these diseases is a good step to provide the appropriate and correct treatment. Determining the treatment with high accuracy depends on the method used to correctly diagnose the disease, expert systems can greatly help in avoiding damage to these plants. The expert system correctly diagnoses (...) Custard Apple disease to make it easier for farmers to find the right treatment based on the appropriate diagnosis. Objectives: A specialized syllable language system was established for the diagnosis of Custard Apple plant disease. (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)

This paper aims to assess knowledge management maturity at HEI to determine the most effecting variables on knowledge management that enhance the total performance of the organization. This study was applied on Al-Azhar University in Gaza strip, Palestine. This paper depends on Asian productivity organization model that used to assess KM maturity. Second dimension assess high performance was developed by the authors. The controlled sample was (364). Several statistical tools were used for data analysis and hypotheses testing, including reliability Correlation (...) using Cronbach’s alpha, “ANOVA”, Simple Linear Regression and Step Wise Regression. The overall findings of the current study suggest that KMM is suitable for measuring and lead to enhance high performance. KMM assessment shows that the university maturity level is in level three. Findings also support the main hypothesis and it is subhypotheses. The most important factors effecting high performance are: Processes, KM leadership, People, KM Outcomes, Knowledge Process. Furthermore the current study is unique by the virtue of its nature, scope and way of implied investigation, as it is the first study at HEI in Palestine explores the status of KMM using the Asian productivity model. (shrink)

Papaya is a tropical fruit with a green cover, yellow pulp, and a taste between mango and cantaloupe, having commercial importance because of its high nutritive and medicinal value. The process of sorting papaya fruit based on maturely is one of the processes that greatly determine the mature of papaya fruit that will be sold to consumers. The manual grading of papaya fruit based on human visual perception is time-consuming and destructive. The objective of this paper is to the status (...) classification of papaya fruits if it's mature or partially matured or unmatured. A deep learning technique that was extensively applied to image recognition was used. The trained model achieved an accuracy of 100% on a held-out test set, demonstrating the feasibility of this approach. Classification model of VGG16 achieved a 100% accuracy and 112 seconds of training time. (shrink)

Abstract: Sign language recognition is one of the most rapidly expanding fields of study today. Many new technologies have been developed in recent years in the fields of artificial intelligence the sign language-based communication is valuable to not only deaf and dumb community, but also beneficial for individuals suffering from Autism, downs Syndrome, Apraxia of Speech for correspondence. The biggest problem faced by people with hearing disabilities is the people's lack of understanding of their requirements. In this paper we try (...) to fill this gap. By trying to translate sign language using artificial intelligence algorithms, we focused in this paper using transfer learning technique based on deep learning by utilizing a MobileNet algorithm and compared it with the previous paper results[10a], where we get in the Mobilenet algorithm on the degree of Accuracy 93,48% but the VGG16 the accuracy was 100% For the same number of images (43500 in the dataset in size 64*64 pixel ) and the same data split training data into training dataset (70%) and validation dataset(15%) and testing dataset(15%) and 20 epoch . (shrink)

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

Neurological syndromes in which consciousness seems to malfunction, such as temporal lobe epilepsy, visual scotomas, Charles Bonnet syndrome, and synesthesia offer valuable clues about the normal functions of consciousness and ‘qualia’. An investigation into these syndromes reveals, we argue, that qualia are different from other brain states in that they possess three functional characteristics, which we state in the form of ‘three laws of qualia’. First, they are irrevocable: I cannot simply decide to start seeing the sunset as green, or (...) feel pain as if it were an itch; second, qualia do not always produce the same behaviour: given a set of qualia, we can choose from a potentially infinite set of possible behaviours to execute; and third, qualia endure in short-term memory, as opposed to non-conscious brain states involved in the on-line guidance of behaviour in real time. We suggest that qualia have evolved these and other attributes because of their role in facilitating non-automatic, decision-based action. We also suggest that the apparent epistemic barrier to knowing what qualia another person is experiencing can be overcome by using a ‘bridge’ of neurons; and we offer a hypothesis about the relation between qualia and one's sense of self. (shrink)

This study aims to identify the strengthening of the global entrepreneurial orientation practice for employees at the University of Palestine, where the researchers used the descriptive and analytical approach, through a questionnaire distributed to a sample of employees at the University of Palestine, where the size of the study population is (234) employees and the sample size is (117) Employees, of whom (90) employees responded. The study found a set of results, the most important of which are: that there is (...) a good degree of global entrepreneurial orientation for employees, as the percentage reached (70.25%), and the results also showed that there are no statistically significant differences in the smart university transformation and their impact on the global entrepreneurial trend according to personal and organizational data. The study presented a set of recommendations, the most important of which are: The need to work to enhance the global entrepreneurial orientation of the university's employees. (shrink)

This paper aims to identify computerized management information systems resources and their relationship to the development of performance in the Electricity Distribution Company in Gaza. This research used two dimensions. The first dimension is computerized management information systems and the second dimension the Development of Performance. The control sample was (063). (360) questioners were distributed and (306) were retrieved back with a percentage of (85%). Several statistical tools were used for data analysis and hypotheses testing, including reliability correlation using Cronbach’s (...) alpha, “ANOVA”, Simple Linear Regression and Step Wise Regression. The overall findings of the current study suggested the presence of a statistically significant relationship between resources (physical, software, and human and organizational) for the computerized management information systems and the development of performance in the Electricity Distribution Company in Gaza. The study recommended the following: The need to strengthen the company's management interest in the potential of computerized management information systems and using them in the computerization of all the company's activities. And the need to involve workers and users in the design of computerized management information systems and assessment and development process. And strengthen the relationship between users and information systems personnel in the department responsible for the system. And it is essential that the company is developing the infrastructure for information technology in general, and computerized management information systems, in particular for the development of performance. And increase interest in providing resources (physical, software, and human and organizational) for the computerized management information systems. The current study is unique by the virtue of its nature, scope and way of implied investigation, as it is the first study at Electricity Distribution Company in Gaza resources explores the status of Computerized management information systems and their relationship to the development of performance in the Electricity Distribution Company in Gaza increasing interest in Computerized management information systems through continuity, keeping pace with technological means and modern techniques. (shrink)

The research aims to identify the impact of the management requirements on operating of computerized management information systems to improve performance, and discuss the perceptions of respondents to develop the performance of employees in the Gaza Electricity Distribution Company, the researchers used the stratified sample method, (360) questionnaires were distributed on the study sample, (306) questionnaires were recoved with a percentage of (85%). The most important findings of the study: computerized MI have a positive impact on the development of performance (...) in the Gaza Electricity Distribution Company systems. The is statistical significance impact between “the physical, software supplies, human and organizational” requirements for the management and operation of computerized management information systems and performance development in the Gaza Electricity Distribution Company. -/- The research also concluded a series of recommendations: the need to strengthen the company's management interest in the use of computerized management information systems in all its components and elements of being an important variable which contributes to the effect on performance development. It's essential that we develop the infrastructure for information technology in general, and computerized management information systems, in particular for the development of performance. Increased interest in providing the material of equipment and devices used in the computerized management information system requirements. Interest in providing technical inputs to the computerized management information systems through keeping pace with technological means and modern techniques and work on the training of personnel to use those systems. And increased attention to human inputs of computerized management information systems "specialists technicians and end-users" through a variety of disciplines working in the field of computerized management information systems. (shrink)

A pineapple is a tropical plant with eatable leafy foods most monetarily critical plant in the family Bromeliaceous. The pineapple is native to South America, where it has been developed for a long time. The acquaintance of the pineapple with Europe in the seventeenth century made it a critical social symbol of extravagance. Since the 1820s, pineapple has been industrially filled in nurseries and numerous tropical manors. Further, it is the third most significant tropical natural product in world creation. In (...) the twentieth century, Hawaii was a prevailing maker of pineapples, particularly for the US, be that as it may, by 2016, Costa Rica, Brazil, and the Philippines represented almost 33% of the world's creation of pineapples. In this paper, machine learning based approach is presented for identifying type pineapple with a dataset that contains 1,311images use 946 images for training, 197 images for validation and 168 images for testing. A deep learning technique that extensively applied to image recognition was used. use 70% from image for training and 30% from image for validation. Our trained model achieved an accuracy of 100% on a heldout test set. (shrink)

This chapter examines: (1) the Black Notebooks in the context of Heidegger's political engagement on behalf of the National Socialist regime and his ambivalence toward some but not all of its political beliefs and tactics; (2) his limited "critique" of vulgar National Socialism and its biologically based racism for the sake of his own ethnocentric vision of the historical uniqueness of the German people and Germany's central role in Europe as a contested site situated between West and East, technological modernity (...) and the Asiatic. Heidegger did not break with radical right-wing Germanist thought, as some scholars have argued. He at most placed National Socialism within his narrative of the history of being, metaphysics, and technology, and thereby relativized it without addressing either its uniqueness or its totalitarian structures and practices. Heidegger formulated his own metaphysical and ontological version of Antisemitism during the National Socialist period. This vision was deeply connected with his understanding of the "history of being" and was intensified during and immediately after the Second World War. Heidegger could perceive no difference between the Shoah and the Allied bombing, defeat, and occupation of Germany. Heidegger's post-war philosophy (of home, history and technology) is deeply shaped by, and remained complicit with, his thinking during this period. (shrink)

The hermeneutical tradition represented by Yorck, Heidegger, and Gadamer has distrusted Dilthey as suffering from the two sins of modernism: scientific “positivism” and individualistic and aesthetic “romanticism.” On the one hand, Dilthey’s epistemology is deemed scientistic in accepting the priority of the empirical, the ontic, and consequently scientific inquiry into the physical, biological, and human worlds; on the other hand, his personalist ethos and Goethean humanism, and his pluralistic life- and worldview philosophy are considered excessively aesthetic, culturally liberal, relativistic, and (...) subjective. This essay involves two tasks in response to this negative evaluation of Dilthey that has shaped our current understanding of his philosophical project; first, an interpretation of the issues at stake in Heidegger’s reception of and struggles with Dilthey. These issues touch upon language, historicity, and the nature of hermeneutics. Second, by pursuing this task in light of Guignon’s interpretation of Dilthey and Heidegger, I hope to question and challenge the “overcoming” of Dilthey’s epistemic and life-philosophical hermeneutics in the “ontological” or “philosophical” hermeneutics of Heidegger. (shrink)

In this paper we carefully study the problem of liberty as it applies to school choice, and whether there ought to be restricted liberty in the case of homeschooling. We examine three prominent concerns that might be brought against homeschooling, viz., that it aggravates social inequality, worsens societal conflict and works against the best interests of children. To examine the tensions that occur between parental liberty, children's interests, and state oversight, we consider the case of homeschooling in the Dutch context.

Abstract: Colon cancer is a prevalent and life-threatening disease, necessitating accurate and timely diagnosis for effective treatment and improved patient outcomes. This research paper presents the development of a knowledge-based system for diagnosing colon cancer using the CLIPS language. Knowledge-based systems offer the potential to assist healthcare professionals in making informed diagnoses by leveraging expert knowledge and reasoning mechanisms. The methodology involves acquiring and structuring medical knowledge specific to colon cancer, followed by the implementation of a knowledge- based system using (...) CLIPS. The system's design integrates relevant medical databases and employs advanced reasoning mechanisms to facilitate accurate diagnosis. Evaluation results demonstrate the system's effectiveness, with high accuracy and sensitivity rates compared to existing methods. The findings highlight the potential of knowledge-based systems in improving clinical practice and patient care. The research contributes to the growing field of medical informatics by demonstrating the feasibility and effectiveness of CLIPS-based knowledge systems for colon cancer diagnosis. Future research can focus on enhancing system performance and expanding its scope to encompass other types of cancer diagnoses. (shrink)

Brain tumors pose significant challenges in modern healthcare, with accurate and timely diagnosis crucial for determining appropriate treatment strategies. Artificial intelligence has made significant advancements in recent years. Rule-based expert systems (if-then rule-based systems) have emerged as a promising approach for clinical decision-making in brain tumor diagnosis. In this paper, we present "A CLIPS-Based Expert System for Brain Tumor Diagnosis," which leverages a set of 14 if-then rules to diagnose brain tumors with three possible outcomes: 1) Confirm the diagnosis of (...) a brain tumor, 2) Consider the possibility of a brain tumor that has metastasized, and 3) Consider the possibility of a brain tumor. Our expert system offers a user-friendly interface, enabling users to select symptoms and receive a diagnosis based on the provided information. This paper discusses the expert system's development, implementation, and evaluation, highlighting its potential to facilitate brain tumor diagnosis and decision-making in clinical settings. Additionally, we provide a literature review that contextualizes our expert system within the broader landscape of rule-based expert systems for brain tumor diagnosis, examining their effectiveness, limitations, and challenges. (shrink)

Recent research has relied on trolley-type sacrificial moral dilemmas to study utilitarian versus nonutili- tarian modes of moral decision-making. This research has generated important insights into people’s attitudes toward instrumental harm—that is, the sacrifice of an individual to save a greater number. But this approach also has serious limitations. Most notably, it ignores the positive, altruistic core of utilitarianism, which is characterized by impartial concern for the well-being of everyone, whether near or far. Here, we develop, refine, and validate a (...) new scale—the Oxford Utilitarianism Scale—to dissociate individual differences in the ‘negative’ (permissive attitude toward instrumental harm) and ‘positive’ (impartial concern for the greater good) dimensions of utilitarian thinking as manifested in the general population. We show that these are two independent dimensions of proto-utilitarian tendencies in the lay population, each exhibiting a distinct psychological profile. Empathic concern, identification with the whole of humanity, and concern for future generations were positively associated with impartial beneficence but negatively associated with instrumental harm; and although instrumental harm was associated with subclinical psychopathy, impartial beneficence was associated with higher religiosity. Importantly, although these two dimensions were independent in the lay population, they were closely associated in a sample of moral philosophers. Acknowledging this dissociation between the instrumental harm and impartial beneficence components of utilitarian thinking in ordinary people can clarify existing debates about the nature of moral psychology and its relation to moral philosophy as well as generate fruitful avenues for further research. (shrink)

In this paper an Artificial Neural Network (ANN) model was used to help cars dealers recognize the many characteristics of cars, including manufacturers, their location and classification of cars according to several categories including: Buying, Maint, Doors, Persons, Lug_boot, Safety, and Overall. ANN was used in forecasting car acceptability. The results showed that ANN model was able to predict the car acceptability with 99.12 %. The factor of Safety has the most influence on car acceptability evaluation. Comparative study method is (...) suitable for the evaluation of car acceptability forecasting, can also be extended to all other areas. (shrink)

This research paper presents the development and evaluation of an expert system for diagnosing kidney diseases. The expert system utilizes a decision-making tree approach and is implemented using the CLIPS and Delphi frameworks. The system's accuracy in diagnosing kidney diseases and user satisfaction were evaluated. The results demonstrate the effectiveness of the expert system in providing accurate diagnoses and high user satisfaction.

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

The paper assesses Knowledge Management Maturity(KMM) in the universities to determine the impact of knowledge management on performance excellence. This study was applied on Al-Azhar University and Al-Quds Open University in Gaza strip, Palestine. This paper depends on Asian productivity organization model that used to assess KMM. Second dimension which assess performance excellence was developed by the authors. The controlled sample was (610). Several statistical tools were used for data analysis and hypotheses testing, including reliability Correlation using Cronbach’s alpha, “ANOVA”, (...) Simple Linear Regression and Step Wise Regression. The overall findings of the current study suggest that KMM is suitable for measuring performance excellence. KMM assessment shows that both universities maturity level is in level three. Findings also support the main hypothesis and it is sub- hypotheses. The most important factors effecting performance excellence are: Processes, KM leadership, People, KM Outcomes. Furthermore the current study is unique by the virtue of its nature, scope and way of implied investigation, as it is the first comparative study in the universities of Palestine explores the status of KMM using the Asian productivity Model. (shrink)

In this paper an Artificial Neural Network (ANN) model was used to help cars dealers recognize the many characteristics of cars, including manufacturers, their location and classification of cars according to several categories including: Make, Model, Type, Origin, DriveTrain, MSRP, Invoice, EngineSize, Cylinders, Horsepower, MPG_Highway, Weight, Wheelbase, Length. ANN was used in prediction of the number of miles per gallon when the car is driven in the city(MPG_City). The results showed that ANN model was able to predict MPG_City with 97.50 (...) % accuracy. The factor of DriveTrain has the most influence on MPG_City evaluation. Similar studies can be carried out for the evaluation of other characteristics of cars. (shrink)

Abstract: Lotteries have long been a source of fascination and intrigue, offering the tantalizing prospect of unexpected fortunes. In this research paper, we delve into the world of lottery predictions, employing cutting-edge AI techniques to unlock the secrets of lottery outcomes. Our dataset, obtained from Kaggle, comprises historical lottery draws, and our goal is to develop predictive models that can anticipate future winning numbers. This study explores the use of deep learning and time series analysis to achieve this elusive feat. (...) Through rigorous experimentation and data-driven approaches, we seek to determine the viability of AI in the realm of lottery predictions. Our findings reveal both the promise and limitations of AI in this context, shedding light on the complexities of lottery data and the potential need for quantum computing as a last resort. (shrink)

Capital punishment—the legally authorized killing of a criminal offender by an agent of the state for the commission of a crime—stands in special need of moral justification. This is because execution is a particularly severe punishment. Execution is different in kind from monetary and custodial penalties in an obvious way: execution causes the death of an offender. While fines and incarceration set back some of one’s interests, death eliminates the possibility of setting and pursuing ends. While fines and incarceration narrow (...) one’s routes to happiness, death eliminates its possibility. Not surprisingly, there is much debate about the moral permissibility of capital punishment. This entry maps the terrain of this debate. The first section discusses justifications of the death penalty as they appear in major theories of punishment. The second section surveys moral objections to execution that apply to most justifications. The third addresses procedural criticisms, which do not target the morality of execution so much as the justice of its implementation. (shrink)

Abstract: Fruits are a rich source of energy, minerals and vitamins. They also contain fiber. There are many fruits types such as: Apple and pears, Citrus, Stone fruit, Tropical and exotic, Berries, Melons, Tomatoes and avocado. Classification of fruits can be used in many applications, whether industrial or in agriculture or services, for example, it can help the cashier in the hyper mall to determine the price and type of fruit and also may help some people to determining whether a (...) certain type of fruit meets their nutritional requirement. In this paper, machine learning based approach is presented for classifying and identifying 10 different fruit with a dataset that contains 6847 images use 4793 images for training, 1027 images for validation and 1027 images for testing. A deep learning technique that extensively applied to image recognition was used. We used 70% from image for training and 15% from image for validation 15% for testing. Our trained model achieved an accuracy of 100% on a held-out test set, demonstrating the feasibility of this approach. (shrink)

The state of national economies development varies and is characterized by many indicators. Economically developed countries are known as doubtless leaders that are in progress and form political stability, social and economics standards, scientific and technical progress and determine future priorities. It is worth mentioning that the progressive development of national economies in conditions of globalization can take place only in case of the increase of their intellectualization level, through saturation of people`s life, economic relations and production by brain activity, (...) knowledge, creativity, innovation, culture, ethical considering of the historical heritage. The main aim of the research is national economies intellectualization evaluating in globalization conditions. In order to gain this aim, the following tasks were defined: to identify existing indices of the national economies intellectualization level evaluation, develop the authors’ methodological approach to the national economies intellectualization level, determine the areas of measurement results application. While conducting the research, systematic approach, the methods of analysis, synthesis, grouping, abstracting, generalization, imaginary experiment and grounding were used. In the modern world, there are a large number of indicators which characterize differences in intellectual state of the national economy. When comparing the state of national economies intellectualization, the problems arise with different number of countries, duplication of indicators, disproportionate number of the components of indicators, various years of publication, etc. Therefore, to ensure comparability, we choose four general indicators – the index of human development, the global innovation index, the global competitiveness index and the knowledge economy index. Using these indices, we do the research and determine the state of national economies intellectualization in the world economy. According to the calculated results, as of 2013, we have divided 190 national economies by level of intellectualization into five groups: countries with the highest (30 countries), high (30 (countries), low (30 countries), the lowest (35 countries) and the countries with uncertain state of intellectualization (65 countries). The leaders in the state of intellectualization are Switzerland, Sweden, The Netherlands, Finland and the USA. The countries with the highest level of intellectualization serve as an example to all other countries of the world. These countries are characterized by developed market economy; a dominant position in the international economy, which allows actively engaging own and imported resources in the economic turnover; the shift of the center of gravity of economic activity into the services sector and the dominance of service economy; the greatest exhaustion of sources and factors of industrial development; advanced post-industrial development. The economic policy of the first group of countries has a decisive influence on the state and dynamics of the global economy, defining the main directions of its scientific and technological development and structural adjustment. The average index of the national economy intellectualization (AINEI), calculated by the authors, shows the place of each country in the world community as to their intellectual capital. Considering the continued deployment of R&D progress, the growing role of high-tech production and the complexity of social and economic relations, AINEI can serve as a reliable indicator of the macroeconomic environment intellectualization state. Therefore, the following organizations, bodies and individuals can use the comparative results of this study: the international organizations while developing international economic development programs; the state authorities of the countries in foreign and domestic policy forming; companies that create innovative and investment policy; migrants, tourists and persons who perform professional and transit activity for the formation of human potential and capital; scientists and teachers who develop mechanisms of intellectualization. (shrink)

The article concerns the interpretation of Aquinas' philosophy in the thougt of the swiss theologian Hans Urs Von Balthasar.

As a contribution to a wider discussion on moral discernment in theological anthropology, this paper seeks to answer the question “What is the impact of mental illness on an individual’s ability to make moral decisions?” Written from a clinical psychiatric perspective, it considers recent contributions from psychology, neuropsychology and imaging technology. It notes that the popular conception that mental illness necessarily robs an individual of moral responsibility is largely unfounded. Most people who suffer from mental health problems do not lose (...) the capacity to make moral decisions, and mental illness on its own rarely explains anti-social or criminal behaviour. Moreover, the assumptions of some scientists, that recent developments in neuropsychology and brain imaging suggest biological determinism, must be treated with caution. (shrink)

Contemporary republicanism is characterized by three main ideas: free persons, who are not subject to the arbitrary power of others; free states, which try to protect their citizens from such power without exercising it themselves; and vigilant citizenship, as a means to limit states to their protective role. This book advances an economic model of such republicanism that is ideologically centre-left. It demands an exit-oriented state interventionism, one that would require an activist government to enhance competition and resource exit from (...) dominating relationships within markets of all types, be they marital, labour, or residential. The substantial intervention and redistribution necessitated by such an approach make it leftist, while its tendency to work with rather than against the grain of markets makes it centrist. It is, in short, a contribution to progressive republican political thought, but one that is less social-democratic than market-democratic in character. (shrink)