This study presents a neural network-based model for predicting smoke potential in a specific area using a Kaggle-derived dataset with 15 environmental features and 62,631 samples. Our five-layer neural network achieved an accuracy of 89.14% and an average error of 0.000715, demonstrating its effectiveness. Key influential features, including temperature, humidity, crude ethanol, pressure, NC1.0, NC2.5, SCNT, and PM2.5, were identified, providing insights into smoke occurrence. This research aids in proactive smoke mitigation and public health protection. The model's accuracy and feature (...) analysis empower decision-makers, with potential applications in real-time smoke event monitoring and preparedness strategies. This work contributes to the field of air quality forecasting and environmental stewardship, offering a data-driven approach to address smoke-related challenges and enhance community well-being. (shrink)

This abstract is a synopsis of the paper "An Expert System for Diagnosing Whooping Cough Using CLIPS." The bacterium Bordetella pertussis causes whooping cough, a highly infectious respiratory ailment with several phases of symptoms. An accurate and timely diagnosis is critical for effective treatment and the avoidance of future transmission. The construction of an expert system for detecting whooping cough using the CLIPS (C Language Integrated Production System) architecture is highlighted in this abstract. The expert system provides standardized and systematic (...) evaluation, which reduces the chance of misdiagnosis and improves patient outcomes. Maintenance and upgrades are required to keep the system current with growing medical knowledge. More study in this area has the potential to advance expert systems in identifying and managing a variety of medical disorders. (shrink)

Over the past 25 years, UK government policy exhortations to promote and increase exercise and physical activity levels in the population have increased in volume. In recent years, too, there has been growing sociological interest in exercise and physical activity embodiment issues, including within phenomenologically-inspired research into lived-body experiences. This article contributes original insights to a developing body of phenomenological-sociological empirical work in this domain, in addressing the lived experience of organised exercise in outdoor environments, and specifically in theorising the (...) role of ‘lived weather’ in contouring these experiences. It thus addresses the call by Vannini et al. (2012) to remedy the notable ‘absent-presence’ of weather in much social science research. Drawing upon data from a two-year multi-disciplinary, multi-institutional ethnographic study of a nationwide exercise programme in Wales, UK, this article examines participants’ (n = 146) lived experience of weather, and theorises their ‘weather learning’, and ‘weather work’, both of which emerged as highly salient in the findings. (shrink)

Gregory the Great depicts himself as a contemplative who, as bishop of Rome, was compelled to become an administrator and pastor. His theological response to this existential tension illuminates the vexed questions of his relationships to predecessors and of his legacy. Gregory develops Augustine’s thought in such a way as to satisfy John Cassian’s position that contemplative vision is grounded in the soul’s likeness to the unity of Father and Son. For Augustine, “mercy” lovingly lifts the neighbor toward life in (...) God. Imitating God’s own love for humankind, this mercy likens the Christian to God’s essential goodness and, by this likeness, prepares him or her for the vision of God, which Augustine expects not now but only in the next life. For Augustine, the exercise of mercy can—when useful—involve a shared affection or understanding. Gregory makes this shared affection essential to the neighborly love that he calls “compassion.” In this affective fellowship, Gregory finds a human translation of the passionless unity of Father and Son—so that, for Gregory, compassion becomes the immediate basis for and consequence of seeing God—even in this life. Compassion does not degrade; rather, it retrenches the perfection of contemplation. Reconciling compassionate activity and contemplative vision, this creative renegotiation of Augustine and Cassian both answered Gregory’s own aspirations and gave to the tumultuous post-Imperial West a needed account of worldly affairs as spiritual affairs. (shrink)

Communicative practices in online and social media sometimes seem to amplify political conflict, and result in significant harms to people who become the targets of collective outrage. Many complaints that have been made about political correctness in the past, we argue, amount to little more than a veiled expression of resentment over the increasing influence enjoyed by progressive activists. But some complaints about political correctness take on a different complexion, in light of the technologically-driven changes to our communicative practices and (...) political discourse. Given the ways in which they are entangled in these new forms of online communication, well-meaning attempts to police the norms of political correctness may end up contributing to individual wrongs, or to destructive social patterns. In this paper we examine these worries, situate them in a broader sociological context, and offer some tentative proposals about how they might be addressed. (shrink)

In a friendly interdisciplinary debate, we interrogate from several vantage points the question of “personhood” in light of contemporary and near-future forms of social AI. David J. Gunkel approaches the matter from a philosophical and legal standpoint, while Jordan Wales offers reflections theological and psychological. Attending to metaphysical, moral, social, and legal understandings of personhood, we ask about the position of apparently personal artificial intelligences in our society and individual lives. Re-examining the “person” and questioning prominent construals of that category, (...) we hope to open new views upon urgent and much-discussed questions that, quite soon, may confront us in our daily lives. (shrink)

Compelling voices charge that the theological notion of “sacrifice” valorizes suffering and fosters a culture of violence by the claim that Christ’s death on the Cross paid for human sins. Beneath the ‘sacred’ violence of sacrifice, René Girard discerns a concealed scapegoat-murder driven by a distortion of human desire that itself must lead to human self-annihilation. I here ask: can one speak safely of sacrifice; and can human beings somehow cease to practice the sacrifice that must otherwise destroy them? Drawing (...) on Gregory the Great (ca. 540–604), I propose an understanding of sacrifice that both distinguishes Christian sacrifice from sacred violence and accounts for how to overcome the roots of the sacred violence identified by Girard. I make four claims: First, Girard recognizes two kinds of sacrifice—one, the scapegoat murder, overcomes community rivalries by unanimous imitation of an accuser, shifting blame onto a third party who is collectively murdered; the other sort of sacrifice practices renunciation and forgiveness in imitation of God. These I respectively designate the “Satanic” (Girard’s term) and the “theomimetic” (mine). Second, I analyze the intrinsic instability that keeps the Satanic from sustaining the societal order and unity that it promises. Third, by a constructive reading of Gregory the Great, I posit that satanic sacrifice overlooks and indeed exacerbates the root of human covetousness—a failure to love. Fourth, Gregory’s teaching on the imitation of Christ enables us to expand on Girard’s account of the theo¬mimetic sacrifice of renunciation, to clarify how this latter might not only oppose but also systematically subvert the Satanic by healing the disorder out of which mimetic rivalry and scapegoating first take their rise. (shrink)

Theologians often reflect on the ethical uses and impacts of artificial intelligence, but when it comes to artificial intelligence techniques themselves, some have questioned whether much exists to discuss in the first place. If the significance of computational operations is attributed rather than intrinsic, what are we to say about them? Ancient thinkers—namely Augustine of Hippo (lived 354–430)—break the impasse, enabling us to draw forth the moral and metaphysical significance of current developments like the “deep neural networks” that are responsible (...) for some of the most remarkable achievements of the past few years. First, Augustine’s theology of the natural world’s rationes seminales makes sense of neural networks’ success by explaining the world as a kaleidoscopic refraction of divine Wisdom rather than as a collection of discrete objects standing in crisp relations. Second, his account of interpretive judgment as a moral act bound up with love reveals how our training and use of AI relates to the Christian’s assimilation to Wisdom. The contingent meaning of the neural network reveals AI’s potential either for standing between us and the world or in some sense facilitating a Christian’s regathering of the created echoes of divine Wisdom throughout his or her journey into the Trinity. (shrink)

Consulting early and medieval Christian thinkers, I theologically analyze the question of how we are to construe and live well with the sociable robot under the ancient theological concept of “glory”—the manifestation of God’s nature and life outside of himself. First, the oft-noted Western wariness toward robots may in part be rooted in protecting a certain idea of the “person” as a relational subject capable of self-gift. Historically, this understanding of the person derived from Christian belief in God the Trinity, (...) an eternally relational and self-giving God who has created all other things. According to this trinitarian anthropology, the “glory” of God is the manifestation of his life outside of himself, especially in human relationships of self-possessed empathic self-giving. Second, the material world can be drawn into this glorification of God by the invention of technologies, including robots. For Christianity, the personal transcends the material, and matter cannot simply be recombined to make a person. Nonetheless, the material world is a lesser glory that echoes fragmentarily the primal self-gift by which God exists. Human persons can marshal these material powers to serve the personal by the invention of technology, which extends the possibilities of human self-giving and, therefore, of God’s “glory.” Third, this Christian account of creation and technology shapes medieval Christian writings on humanoid robots. These “automata” uniquely draw together nature’s deep powers, but they lack true personal interiority and so cannot give themselves. Instead, they are instruments by which humans’ own relational personhood can be developed or degraded. At best, a robotic image of personhood can serve as an “icon,” directing us back to the relationality by which humans echo God. At worst, robots serve as “idols” when they become substitutes for human companions, drawing their users into a utilitarian frame that excludes self-gift by simply mirroring back to the user his or her own aims. I illustrate these outcomes by two medieval legends. In one, robots function iconically as social facilitators; in the other, as ambiguous romantic partners. And fourth, looking to an actual renaissance-era “praying” robot, I will propose that the non-subjective robot might yet “glorify God” within the religious community by representing the prayers of particular humans—thus iconically standing for rather than idolatrously standing in for the relational subject. (shrink)

Abstract— This study aimed to identify the degree of use of the capabilities of decision-support systems in Palestinian institutions higher education, Aqsa University in Gaza - a case study. The study used a analytical descriptive approach, and the researchers used the of questionnaire tool to collect the data, the researchers using stratified random sample distributed (150) questioners to the study population and (126) was obtained back with rate of 84%. The study showed that the most important results are: that senior (...) management supports the existence of decision support systems and that there is approval by the respondents on the paragraphs of the use of the capabilities of decision support systems in general. And that there are no significant differences between the averages of the answers of respondents differences about the degree of use of decision support systems capabilities attributed to personal data. The study also concluded a series of recommendations including: increasing the adoption of the senior management decision support in their decision-making systems. And increased regulatory attention to the potential available to decision support systems directly to the senior management in the Palestinian universities in the Gaza Strip. There is an increased interest in the physical and technical possibilities available for the use of decision support systems. There is an increased interest in human potential available for the use of decision support systems. Investment of information available to universities in building the capacities of integration techniques and other information technology capabilities. The empowerment of human resources in universities and participating in making decisions concerning the construction of the capabilities of information technology. (shrink)

According to a tradition that we hold variously today, the relational person lives most personally in affective and cognitive empathy, whereby we enter subjective communion with another person. Near future social AIs, including social robots, will give us this experience without possessing any subjectivity of their own. They will also be consumer products, designed to be subservient instruments of their users’ satisfaction. This would seem inevitable. Yet we cannot live as personal when caught between instrumentalizing apparent persons (slaveholding) or numbly (...) dismissing the apparent personalities of our instruments (mild sociopathy). This paper analyzes and proposes a step toward ameliorating this dilemma by way of the thought of a 5th century North African philosopher and theologian, Augustine of Hippo, who is among those essential in giving us our understanding of relational persons. Augustine’s semiotics, deeply intertwined with our affective life, suggest that, if we are to own persuasive social robots humanely, we must join our instinctive experience of empathy for them to an empathic acknowledgment of the real unknown relational persons whose emails, text messages, books, and bodily movements will have provided the training data for the behavior of near-future social AIs. So doing, we may see simulation as simulation (albeit persuasive), while expanding our empathy to include those whose refracted behavioral moments are the seedbed of this simulation. If we naïvely stop at the social robot as the ultimate object of our cognitive and affective empathy, we will suborn the sign to ourselves, undermining rather than sustaining a culture that prizes empathy and abhors the instrumentalization of persons. (shrink)

This study aims to look at the role of the practice of excellence strategies in education in achieving sustainable competitive advantage for the Higher educational institutions of the faculty of Engineering and Information Technology at Al-Azhar University in Gaza, a model, and the study considered the competitive advantage of educational institutions stems from the impact on the level of each student, employee, and the institution. The study was based on the premise that the development of strategies for excellence in education, (...) and its implementation is a vital important prerequisite to achieve sustainable competitive advantage in higher educational institutions. The study followed a systematic exploratory descriptive methodology through review of the theoretical literature, and the adoption of the experience of the Faculty of Engineering and Information Technology at Al-Azhar University in Gaza as a model for its unique experience in the field of excellence in education. The study results showed that the most important are: There is a strong correlation between the level of exercising excellence strategies in education and the achievement of higher educational institutions to the sustainable competitive advantage. The results include a general required number of important sub results on the subject of the model - Faculty of Engineering and Information Technology at Al-Azhar University in Gaza as follows: - The student considered the academic focus of the operation in the development process of the workers’ skills, particularly academics at the university helps to distinguish students and increase the employment rate after graduation. - The existence of consistency in development efforts and quality improvement for all three levels (student, employee, and the university), and this contributes to the Faculty excellence. - The Faculty has been able to achieve competitive advantages by offering excellent services without harming the efficiency, and this alone is a great success because improving service properties requires great investments, which negatively affect the continued institutional development. The study also reached a set of recommendations as follows: - The need to exercise excellence strategies in education, excellence reward at the national level, and those higher educational institutions follow the criteria for measuring the competitive advantages of its institutions always. - There is a need to increase efforts to implement programs of excellence, the allocation of adequate time, reward outstanding efforts as well. There is a necessity for each faculty to achieve competitive advantage and sustainability, using the general philosophies of competitive advantage, but with a different strategically content from what is in the private commercial sector, it reflects the Faculties mission and objectives, depending on making improvements and excellence in processes that ensure the safety of its outputs. As well as the need to find a balance between the work of teaching and research work of the faculty members, this has important implications regarding the criteria used in the process of excellence evaluation. The study recommended the adoption of strategies for excellence in education on a national public policy level mainly in the processes of change in higher education institutions. The need to support the existence of a common understanding of the efforts of excellence to create a general culture that appreciates excellence in faculties and universities. This underlines the need for transparent, fair rewards systems, to encourage innovation in education. The need to conduct a comprehensive surveys on the graduates of faculties and universities including the areas of employment and skills, because that will give accurate indications of the graduates and will help to establish a link to a more precise about the relationship of excellence strategies with the competitive advantages. (shrink)

The second of Gregory’s Dialogues, tells the life and miracles of Benedict of Nursia. In this paper, I will first introduce the Gregorian concepts of spiritual “stability” (stabilitas) and of the spiritual “ruler” (rector), along with the spiritual journey by which “stability” is recovered. Second, focusing on episodes that call attention to Benedict’s physical self-disposition (seated, standing, walking), I will read his life doubly. Under one reading, these episodes proffer moral exempla wherein Benedict’s physical self-possession outwardly manifests a spiritual ruler’s (...) proper response to attacks on him and on his community. Under another reading, the organization and emphases of these same episodes add up to an over-arching narration of Gregory’s theology of spiritual progress, all the way to fullness of love and the vision of God. Third, I will argue that the motif of steadfast love rather than of physical claustration is the deepest foundation of this journey and that the dialogue universalizes the “way of Benedict” to guide even non-monastic readers to the heavenly homeland. (shrink)

If an asymmetry in time does not arise from the fundamental dynamical laws of physics, it may be found in special boundary conditions. The argument normally goes that since thermodynamic entropy in the past is lower than in the future according to the Second Law of Thermodynamics, then tracing this back to the time around the Big Bang means the universe must have started off in a state of very low thermodynamic entropy: the Thermodynamic Past Hypothesis. In this paper, we (...) consider another boundary condition that plays a similar role, but for the decoherent arrow of time, i.e. the subsystems of the universe are more mixed in the future than in the past. According to what we call the Entanglement Past Hypothesis, the initial quantum state of the universe had very low entanglement entropy. We clarify the content of the Entanglement Past Hypothesis, compare it with the Thermodynamic Past Hypothesis, and identify some challenges and open questions for future research. (shrink)

This paper asks how perception becomes racializing and seeks the means for its critical interruption. My aim is not only to understand the recalcitrant and limitative temporal structure of racializing habits of seeing, but also to uncover the possibilities within perception for a critical awareness and destabilization of this structure. Reading Henri Bergson and Maurice Merleau-Ponty in dialogue with Frantz Fanon, Iris Marion Young and race-critical feminism, I locate in hesitation the phenomenological moment where habits of seeing can be internally (...) fractured. Hesitation, I claim, makes visible the exclusionary logic of racializing and objectifying perception, countering its affective closure and opening it to critical transformation. (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)

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)

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)

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)

Abstract: A corn crop typically refers to a large-scale cultivation of corn (also known as maize) for commercial purposes such as food production, animal feed, and industrial uses. Corn is one of the most widely grown crops in the world, and it is a major staple food for many cultures. Corn crops are grown in various regions of the world with different climates, soil types, and farming practices. In the United States, for example, the Midwest is known as the "Corn (...) Belt" due to its extensive corn production. Corn crops can be grown using a variety of methods, including conventional tillage, no-till farming, and the use of genetically modified crops. Due to its importance, there is a need for discovering the corn diseases and treating them. The aim of this study is to propose a deep learning model for the classification of corn leaf diseases based on Convolutional Neural Network. A model for classifying maize diseases was developed using a dataset for classifying Corn diseases that contains 4 classes of disease. The dataset was collected from Keggel website. The proposed model was trained, validated, and tested. The F1-score (99.83%), Recall (99.83%), precision (99.83%), Accuracy (99.83%). (shrink)

In this paper, I explore some of the temporal structures of racialized experience – what I call racialized time. I draw on the Martiniquan philosopher and psychiatrist Frantz Fanon, in particular his book ‘Black Skin, White Masks,’ in order to ask how racism can be understood as a social pathology which, when internalized or ‘epidermalized,’ may result in aberrations of affect, embodiment and agency that are temporally lived. In this regard, I analyze the racialized experience of coming ‘too late’ to (...) a world predetermined in advance and the distorted relation to possibility – the limitation of playfulness and imaginative variability – that defines this sense of lateness. I argue that the racialization of the past plays a structuring role in such experience. Racialization is not limited to the present, but also colonizes and reconfigures the past, splitting it into a duality of times: one open and civilizational, the other closed, anachronistic and racialized. To understand this colonial construction of the past, I draw on the work of Latin American thinker Aníbal Quijano. (shrink)

In this research, an Artificial Neural Network (ANN) model was developed and tested to predict Birth Weight. A number of factors were identified that may affect birth weight. Factors such as smoke, race, age, weight (lbs) at last menstrual period, hypertension, uterine irritability, number of physician visits in 1st trimester, among others, as input variables for the ANN model. A model based on multi-layer concept topology was developed and trained using the data from some birth cases in hospitals. The evaluation (...) of testing the dataset shows that the ANN model is capable of correctly predicting the birth weight with 100% accuracy. (shrink)

This article goes behind stereotypes of Muslim veiling to ask after the representational structure underlying these images. I examine the public debate leading to the 2004 French law banning conspicuous religious signs in schools and French colonial attitudes to veiling in Algeria, in conjunction with discourses on the veil that have arisen in other western contexts. My argument is that western perceptions and representations of veiled Muslim women are not simply about Muslim women themselves. Rather than representing Muslim women, these (...) images fulfill a different function: they provide the negative mirror in which western constructions of identity and gender can be positively reflected. It is by means of the projection of gender oppression onto Islam, and its naturalization to the bodies of veiled women, that such mirroring takes place. This constitutes, I argue, a form of racialization. Drawing on the work of Fanon, Merleau-Ponty and Alcoff, I offer a phenomenological analysis of this racializing vision. What is at stake is a form of cultural racism that functions in the guise of anti-sexist and feminist liberatory discourse, at once posing a dilemma to feminists and concealing its racializing logic. (shrink)

What does Husserlian phenomenology have to offer feminist theory? More specifically, can we find resources within Husserl’s account of the living body ( Leib ) for the critical feminist project of rethinking embodiment beyond the dichotomies not only of mind/body but also of subject/object and activity/passivity? This essay begins by explicating the reasons for feminist hesitation with respect to Husserlian phenomenology. I then explore the resources that Husserl’s phenomenology of touch and his account of sensings hold for feminist theory. My (...) reading of Husserl proceeds by means of a comparison between his description of touch in Ideas II and Merleau-Ponty’s early appropriation of this account in the Phenomenology of Perception, as well as through an unlikely rapprochement between Husserl and Irigaray on the question of touch. Moreover, by revisiting the limitations in Husserl’s approach to the body—limitations of which any feminist appropriation must remain cognizant—I attempt to take Husserl’s phenomenology of touch beyond its initial methodologically solipsistic frame and to ask whether and how it can contribute to thinking gendered and racialized bodies. The phenomenology of touch, I argue, can allow us to understand the interplay between subjective, felt embodiment and social-historical context. In opening up Husserl’s account of touch to other dimensions—intersubjective and affective—sociality is revealed as residing within, and structuring of, touch. Such touch can allow us to think embodiment anew. (shrink)

The study aimed to identify the knowledge management processes and their role in achieving competitive advantage at Al-Quds Open University. The study was based on the descriptive analytical method, and the study population consists of academic and administrative staff in each of the branches of Al-Quds Open University in (Tulkarm, Nablus and Jenin). The researchers selected a sample of the study population by the intentional non-probability method, the size of (70) employees. A questionnaire was prepared and supervised by a number (...) of specialists in order to obtain the results of the study. The study concluded that there is a positive direct relationship, that is, the higher the degree of application of knowledge management processes, the greater the degree of competitive advantage. Knowledge Technology came first with a score of 80.02% on all items. Competitive advantage came second with 81.74%. In the third place came "knowledge generation" where the total score on all paragraphs in this area (78.24%). In the fourth place, "knowledge transfer" (77.21%). "Developing and storing knowledge" came in fifth place (77.13%). "Acquisition of knowledge" came in sixth place (76.45%). Knowledge Organization ranked seventh (74.26%). The study recommended that the university should enable the employees to benefit from the experiences and expertise available to help generate knowledge. The University encourages the creation of knowledge through the system of incentives and open the way for creators to apply their creations and spread and invest in excellence and creativity. The university should design work performance levels based on the integration of knowledge and organize it according to policies that support freedom of research. The need for Palestinian universities to adopt a knowledge management approach. The need to adopt a system of incentives that rewards cognitive efforts, and give workers enough freedom to enable them to apply their knowledge. (shrink)

Water quality assessment is critical for environmental sustainability and public health. This research employs neural networks to predict water quality, utilizing a dataset of 21 diverse features, including metals, chemicals, and biological indicators. With 8000 samples, our neural network model, consisting of four layers, achieved an impressive 94.22% accuracy with an average error of 0.031. Feature importance analysis revealed arsenic, perchlorate, cadmium, and others as pivotal factors in water quality prediction. This study offers a valuable contribution to enhancing water quality (...) monitoring and decision-making for stakeholders and policymakers. (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)

Through the philosophies of Bergson and Deleuze, my paper explores a different theory of time. I reconstitute Deleuze’s paradoxes of the past in Difference and Repetition and Bergsonism to reveal a theory of time in which the relation between past and present is one of coexistence rather than succession. The theory of memory implied here is a non-representational one. To elaborate this theory, I ask: what is the role of the “virtual image” in Bergson’s Matter and Memory? Far from representing (...) the simple afterimage of a present perception, the “virtual image” carries multiple senses. Contracting the immediate past for the present, or expanding virtually to hold the whole of memory (and even the whole of the universe), the virtual image can form a bridge between the present and the non-representational past. This non-representational account of memory sheds light not only on the structure of time for Bergson, but also on his concepts of pure memory and virtuality. The rereading of memory also opens the way for Bergsonian intuition to play an intersubjective role; intuition becomes a means for navigating the resonances and dissonances that can be felt between different rhythms of becoming or planes of memory, which constitute different subjects. (shrink)

This paper explores the idea inspired by Williamson (2007) that the meaning of a name is the object such that assigning it as referent maximises knowledge. After situating this idea in a charity-based tradition of interpretation and making it more precise, I argue that it suffers from serious problems. I then show why these problems raise a challenge for charity-based frameworks more generally.

Abstract: In recent years, the outbreak of various poultry diseases has posed a significant threat to the global poultry industry. Therefore, the accurate and timely detection of chicken diseases is critical to reduce economic losses and prevent the spread of diseases. In this study, we propose a method for classifying chicken diseases using a convolutional neural network (CNN). The proposed method involves preprocessing the chicken images, building and training a CNN model, and evaluating the performance of the model. The dataset (...) used in this study comprises chicken images of three different diseases: Newcastle disease, avian influenza, and infectious bursal disease. The proposed method achieved an overall F1-score of 99.04% in classifying the chicken diseases. The results demonstrate the effectiveness of using CNN in classifying chicken diseases and provide a promising approach for early detection and diagnosis of poultry diseases. (shrink)

The study aims to analyze the impact of top management support for strategic planning on crisis management in UNRWA-Gaza Strip field in Palestine. Several descriptive analytical methods were used for this purpose, and a survey as a tool for data collection. Community size was (881), and the study sample was stratified random (268). The overall findings of the current study show that top management provides needed HR for strategic planning but with no financial support. Also there are shortcomings in the (...) way that organization manages the crises before and after they occur. A crisis management is only practicing during the crisis. The study suggest that top management must provide the financial support for strategic planning, periodic meetings to prepare how to deal with potential crisis in the future, establishing a specialized team and provide them with all sources needed. (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)

I develop a phenomenological account of racialized encounters with works of art and film, wherein the racialized viewer feels cast as perpetually past, coming “too late” to intervene in the meaning of her own representation. This points to the distinctive role that the colonial past plays in mediating and constructing our self-images. I draw on my experience of three exhibitions that take Muslims and/or Arabs as their subject matter and that ostensibly try to interrupt or subvert racialization while reproducing some (...) of its tropes. My examples are the Jean-Joseph Benjamin-Constant exhibition at the Montreal Museum of Fine Arts (2015), the exposition Welten der Muslime at the Ethnologisches Museum in Berlin (2011–2017), and a sculpture by Bob and Roberta Smith at the Leeds City Art Gallery, created in response to the imperial power painting, General Gordon’s Last Stand, that is housed there. My interest is in how artworks contribute to the experience of being racialized in ways that not only amplify the circulation of images but also constitute difficult temporal relations to images. Drawing on Frantz Fanon’s Black Skin, White Masks, I argue that such racialized images are temporally gluey, or stuck, so that we are weighted and bogged down by them. This essay received Honorable Mention from the American Society for Aesthetics Feminist Caucus Committee in the Feminist Research Essay prize in 2020. (shrink)

Abstract: In this research, an Artificial Neural Network (ANN) model was developed and tested to predict Birth Weight. A number of factors were identified that may affect birth weight. Factors such as smoke, race, age, weight (lbs) at last menstrual period, hypertension, uterine irritability, number of physician visits in 1st trimester, among others, as input variables for the ANN model. A model based on multi-layer concept topology was developed and trained using the data from some birth cases in hospitals. The (...) evaluation of testing the dataset shows that the ANN model is capable of correctly predicting the birth weight with 100% accuracy. (shrink)

Merleau-Ponty's reference to "a past which has never been present" at the end of "Le sentir" challenges the typical framework of the Phenomenology of Perception, with its primacy of perception and bodily field of presence. In light of this "original past," I propose a re-reading of the prepersonal as ground of perception that precedes the dichotomies of subject-object and activity-passivity. Merleau-Ponty searches in the Phenomenology for language to describe this ground, borrowing from multiple registers (notably Bergson, but also Husserl). This (...) "sensory life" is a coexistence of sensing and sensible—bodily and worldly—rhythms. Perception is, then, not a natural given, but a temporal process of synchronization between rhythms. By drawing on Bergson, this can be described as a process in which virtual life is actualized into perceiving subject and object perceived. Significantly, this process involves non-coincidence or delay whereby sensory life is always already past for perception. (shrink)

In this paper, we present an intelligent tutoring system developed to help students in learning Computer Theory. The Intelligent tutoring system was built using ITSB authoring tool. The system helps students to learn finite automata, pushdown automata, Turing machines and examines the relationship between these automata and formal languages, deterministic and nondeterministic machines, regular expressions, context free grammars, undecidability, and complexity. During the process the intelligent tutoring system gives assistance and feedback of many types in an intelligent manner according to (...) the behavior of the student. An evaluation of the intelligent tutoring system has revealed reasonably acceptable results in terms of its usability and learning abilities are concerned. (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)

Lately in the past couple of years, there are an increasing in the normal rate of playing computer games or video games compared to the E-learning content that are introduced for the safety of our children, and the impact of the video game addictiveness that ranges from (Musculoskeletal issues, Vision problems and Obesity). Furthermore, this paper introduce an intelligent tutoring system for both parent and their children for enhancement the experience of gaming and tell us about the health problems and (...) how we can solve them, with an easy user interface that way can our children be happy and excited about the information and their health. (shrink)

Drawing on Merleau-Ponty’s “Eye and Mind” and Bergson’s Matière et mémoire and “La perception du changement,” I ask what resources are available in vision for interrupting objectifying habits of seeing. While both Bergson and Merleau-Ponty locate the possibility of seeing differently in the figure of the painter, I develop by means of their texts, and in dialogue with Iris Marion Young’s work, a more general phenomenology of hesitation that grounds what I am calling “critical-ethical vision.” Hesitation, I argue, stems from (...) affect and leads to critical memory. In hesitation, the seeming coincidence between my habits of seeing and the visible is decentered, revealing these habits and their social reference as the constitutive horizon of my field of vision. Hesitation, then, provides the phenomenological moment within which vision may become at once critically watchful, destabilizing its objectifying habits, and ethically responsive, recollecting its affective grounds. The critical and the ethical are here inseparable. Critically, this vision is an awareness of the structures of invisibility, diacritical and habitual, social and historical, to which my vision owes—dimensions which institute particular ways of seeing and being as norm while eliding others. Ethically, this is the recognition of how seeing is already seeing with others—others whose affective influence is operative within vision, even as their existence is reductively represented or denied. (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)

The research aims to study the role of strategic and operational planning as approach for crises management in UNRWA - Gaza Strip field- Palestine. Several descriptive analytical methods were used for this purpose and a survey as a tool for data collection. Community size was (881), and the study sample was stratified random (268). The overall findings of the current study show that strategic and operational planning is performed in UNRWA. The results of static analysis show that there are a (...) relation between strategic and operational planning and crises management. In spite this relation existence, it need more improvement and expanding. Also there are shortcomings in the way that organization manages the crises before and after they occur. A crisis management is only practicing during the crisis. The study suggests that UNRWA must invest in more resources to enhance strategic and operational palming and improve other methods to face potential crises in the future. (shrink)

Abstract: The sinking of the RMS Titanic in 1912 remains a poignant historical event that continues to captivate our collective imagination. In this research paper, we delve into the realm of data-driven analysis by applying Artificial Neural Networks (ANNs) to predict the chances of survival for passengers aboard the Titanic. Our study leverages a comprehensive dataset encompassing passenger information, demographics, and cabin class, providing a unique opportunity to explore the complex interplay of factors influencing survival outcomes. Our ANN-based predictive model (...) achieved an accuracy rate of 78%, shedding light on the underlying patterns within the data. However, this paper underscores the multifaceted nature of survival prediction and acknowledges several challenges. These include missing data imputation, feature engineering, and the inherent noise within historical datasets. We further discuss the importance of model evaluation metrics, showcasing not only accuracy but also precision, recall, and F1-score as essential indicators of predictive performance. The research paper meticulously outlines the architecture of the ANN model, emphasizing the key hyperparameters, activation functions, and regularization techniques employed in model development. Additionally, we address ethical considerations related to data handling and potential biases within the dataset. While our achieved accuracy is a notable achievement, this study emphasizes the importance of interpreting the results with due caution. It underscores the need for a holistic perspective that considers the practical implications of false positives and false negatives, especially in the context of a disaster scenario. In conclusion, this research contributes to our understanding of survival prediction in historical events like the Titanic disaster using modern machine learning techniques. It calls for further exploration and refinement of predictive models, with a focus on enhancing the interpretability and generalizability of such models to real-world applications. (shrink)

Learning programming is thought to be troublesome. One doable reason why students don’t do well in programming is expounded to the very fact that traditional way of learning within the lecture hall adds more stress on students in understanding the Material rather than applying the Material to a true application. For a few students, this teaching model might not catch their interest. As a result, they'll not offer their best effort to grasp the Material given. Seeing however the information is (...) applied to real issues will increase student interest in learning. As a consequence, this may increase their effort to be taught. In the current paper, we try to help students learn C# programming language using Intelligent Tutoring System. This ITS was developed using ITSB authoring tool to be able to help the student learn programming efficiently and make the learning procedure very pleasing. A knowledge base using ITSB authoring tool style was used to represent the student's work and to give customized feedback and support to students. (shrink)

The cucumber is a creeping vine that roots in the ground and grows up trellises or other supporting frames, wrapping around supports with thin, spiraling tendrils. The plant may also root in a soilless medium, whereby it will sprawl along the ground in lieu of a supporting structure. The vine has large leaves that form a canopy over the fruits. Among these common diseases, we single out the diseases that affect the cucumber, which is affected by about 22 diseases, with (...) different symptoms for each disease. Today, technology is facilitating human life in all areas of life, and among these facilities are expert systems that have become an integral part of human life as they contain several systems and areas, for example: Artificial Intelligence (AI), which refers to systems or devices that simulate Human intelligence to perform tasks that can improve itself based on some human information, and other areas, and with reference to expert systems and their importance to humans, an integrated expert system has been created in the agricultural field that diagnoses cucumber diseases using CLIPS Expert System language Delphi language. The system was used to design and implement the proposed expert system. The system facilitates the diagnosis of cucumber-related diseases. There is no doubt that this expert system will help farmers and those involved in the agricultural field to diagnose cucumber-related diseases. Objectives: is to help farmers diagnose pear diseases in the correct way and how to treat these diseases. Method: The system contains a program that diagnoses 22 diseases that affect cucumber. Results: The expert system was evaluated by farmers and praised for helping them with it. Conclusion: The expert system for diagnosing cucumber diseases is effective and usable. (shrink)

To discover affects within Husserl’s texts designates a difficult investigation; it points to a theme of which these texts were forced to speak, even as they were explicitly speaking of regional ontologies and the foundations of sciences. For we may at first wonder: where can affection find a positive role in the rigor of a pure philosophy that seeks to account for its phenomena from within the immanence of consciousness? Does this not mean that the very passivity and foreignness of (...) affect will be overlooked; will it not be continually linked to a Vorstellung that issues as a ray of the pure ego? That is, will the phenomenological account of affect be reduced to the cognition of an object, as Emmanuel Levinas suggests? Yet there are affects in Husserl’s texts that maintain their autonomy and resist subsumption to an objectivating intentionality.We may see this in the Lectures On the Phenomenology of the Consciousness of Internal Time: in the longitudinal intentionality of retention, through which consciousness becomes aware of its elapsed phases without making them into objects—a passive synthesis that gives the flow of time-constituting consciousness the form of a continually deferred auto-affection.1We find it again as early as the fifth Logical Investigation, 2 providing us with the impetus to radicalize Husserlian phenomenology. (shrink)

It is, without a doubt, a difficult task to address at once the state of philosophy as embodied by the Society for Phenomenology and Existential Philosophy and the place of one’s own thought within it. This is the task that a co-director’s address tries to fill. Whether with a critical reexamination of the phenomenological mode of seeing distinctive of SPEP, of philosophical progress, or of the place of transcontinental philosophy, prior co-directors found ways to subtly chart the windings and turns (...) of the many streams that assemble to form this society.We seem to be, however, at a different juncture, so that another... (shrink)

Abstract: This research focuses on utilizing Artificial Neural Networks (ANNs) to predict Audit Risk accurately, a critical aspect of ensuring financial system integrity and preventing fraud. Our dataset, gathered from Kaggle, comprises 18 diverse features, including financial and historical parameters, offering a comprehensive view of audit-related factors. These features encompass 'Sector_score,' 'PARA_A,' 'SCORE_A,' 'PARA_B,' 'SCORE_B,' 'TOTAL,' 'numbers,' 'marks,' 'Money_Value,' 'District,' 'Loss,' 'Loss_SCORE,' 'History,' 'History_score,' 'score,' and 'Risk,' with a total of 774 samples. Our proposed neural network architecture, consisting of three (...) layers (1 input, 1 hidden, and 1 output), forms the core of this study. While it may seem simple, the power of ANNs lies not in complexity but in their ability to uncover intricate data patterns. The model underwent rigorous training and validation, resulting in remarkable outcomes—an accuracy of 100% and an average error rate of 0.000015. In addition to performance metrics, our research investigates feature importance, revealing the key contributors to Audit Risk prediction. Notably, 'Sector_score,' 'PARA_A,' 'SCORE_A,' 'PARA_B,' 'SCORE_B,' 'TOTAL,' 'numbers,' 'marks,' 'Money_Value,' 'District,' 'Loss,' 'Loss_SCORE,' 'History,' and 'History_score' emerged as the most influential factors, shedding light on the elements crucial for precise risk assessment. This study advances Audit Risk prediction models and highlights the potential of ANNs in strengthening financial system integrity and fraud prevention. The insights gained from our findings offer practical guidance for stakeholders in the audit and financial sectors. (shrink)

There is no doubt that tomato diseases are one of the important reasons that destroy the tomato plant and its crops. This leads to clear damage to these plants and they become inedible. Discovering these diseases after a good step for proper and correct treatment. Determining the treatment with high accuracy depends on the method used in the diagnosis. Correctly, expert systems can greatly help to avoid damage to these plants. The expert system diagnoses tomato disease correctly to facilitate farmers (...) to find the correct treatment based on the appropriate diagnosis. Objectives: An expert system has been established based on CLIPS to diagnose tomato plant disease. (shrink)