The translational research community, in general, and the Clinical and Translational Science Awards (CTSA) community, in particular, share the vision of repurposing EHRs for research that will improve the quality of clinical practice. Many members of these communities are also aware that electronic health records (EHRs) suffer limitations of data becoming poorly structured, biased, and unusable out of original context. This creates obstacles to the continuity of care, utility, quality improvement, and translational research. Analogous limitations to sharing objective data in (...) other areas of the natural sciences have been successfully overcome by developing and using common ontologies. This White Paper presents the authors’ rationale for the use of ontologies with computable semantics for the improvement of clinical data quality and EHR usability formulated for researchers with a stake in clinical and translational science and who are advocates for the use of information technology in medicine but at the same time are concerned by current major shortfalls. This White Paper outlines pitfalls, opportunities, and solutions and recommends increased investment in research and development of ontologies with computable semantics for a new generation of EHRs. (shrink)

Host-microbiome interactions (HMIs) are critical for the modulation of biological processes and are associated with several diseases, and extensive HMI studies have generated large amounts of data. We propose that the logical representation of the knowledge derived from these data and the standardized representation of experimental variables and processes can foster integration of data and reproducibility of experiments and thereby further HMI knowledge discovery. A community-based Ontology of Host-Microbiome Interactions (OHMI) was developed following the OBO Foundry principles. OHMI leverages established (...) ontologies to create logically structured representations of microbiomes, microbial taxonomy, host species, host anatomical entities, and HMIs under different conditions and associated study protocols and types of data analysis and experimental results. (shrink)

Diagnosing flatulence involves a thorough assessment of an individual's symptoms, medical history, and, if necessary, the use of diagnostic tests. Healthcare providers gather information about the patient's medical background and conduct a physical examination to identify any signs of gastrointestinal issues. Dietary habits are evaluated, and potential triggers are identified through an elimination diet. Diagnostic tests such as breath tests, stool analysis, or imaging studies may be performed to further investigate the underlying causes of excessive flatulence. Accurate diagnosis is crucial (...) for effective management and treatment of flatulence, enabling individuals to gain control over their symptoms and address any underlying conditions. (shrink)

This paper aims to offer a comprehensive overview of René Girard’s reflections on the issue of modern jihadism. It addresses three key aspects of his reasoning: (I) the rise of Islamic terrorism in the context of a globalization of resentment; (II) modern jihadism understood as an “event internal to the development of technology;” (III) the hypothesis that modern jihadism “is both linked to Islam and different from it.”.

In this paper I focus on the work of Sayyid Qutb and in particular his book Milestones, which is often regarded as the Communist Manifesto of Islamic fundamentalism. This paper has four main sections. First I outline Qutb’s political position and in particular examine his advocacy of offensive jihad. In section two I argue that there are a number of tendencies that make his position potentially more liberal that it is often taken to be. I here argue that there (...) are at least six reasons why Qutb’s position is not intrinsically as anti-liberal as it might at first appear. First, many western liberals, influenced by the social contract tradition, regard the legitimacy of their societies as based on popular sovereignty. Qutb, however, regards a society based on popular sovereignty, where law emerges from the will of man rather than the will of God, as a form of tyranny, so it would seem that he is in principle opposed to Western liberal societies. It is not clear, however, that we, or Islamic fundamentalist, need to regard Western liberal societies as based on popular sovereignty, for it is always possible to interpret Western political institutions through the lens of natural law theory, which was one of the main sources of the liberal tradition. In this section I will compare Qutb’s political philosophy with that of Aquinas to illustrate this point and suggest the possibility of secularists and puritan Islamists being able to form an overlapping consensus on the legitimacy of liberal Western societies. Secondly, there is an analogue to the social contract in Qutb’s own position as he believes that legitimate authority requires the free submission of the governed. Thirdly, Qutb is in principle a fallibilist about human reason; this fallibilism extends even to our capacity to interpret divine revelation. Fourthly, Islamic universalism requires that Muslims regard enemies they might be fighting as potential converts. Fifthly, Qutb, like most Sunni fundamentalists, is an implacable enemy of theocracy. And finally, Qutb is a gradualist. In the third section I argue that the real danger for liberal societies from believers in a position like Qutb’s is sociological rather than intrinsic to the ideology – specifically, that there is a danger that such groups may develop in a ‘Leninist’ direction. In the final section I argue that one of the main reasons for this danger is the lack of a consensus in the Islamic world about what it is to be a good, or even a true, Muslim, and that the slow emergence of some sort of consensus will require a vigorous public debate amongst Muslims. Western liberals should welcome such debate rather than fearing such, and should do all they can to ensure that civil society, both in Western societies and in predominantly Islamic societies, is open to such debate. (shrink)

Not long after the 2001 invasion of Afghanistan, an American citizen was captured by U.S. soldiers on he battlefield carrying a weapon and wearing the dress of a Taliban soldier. Heralded by the news media as the “American Taliban,” he became a spectacle, bound, gagged, naked and blind-folded on a stretcher in a photo taken soon after his capture. The story of how the homeschooled twenty-year-old from a middle-class Northern California family became an enemy combatant in the Afghani desert piqued (...) the popular imagination. After converting to Islam, he went to Yemen, learned Arabic, returned home and then left again to attend a madrassa (or Islamic religious school) before receiving training at an Al-Qaeda training camp in Afghanistan. Some Americans reacted to the young man’s story with wonder; others with loathing. How did this youth stray from the values that most Americans hold dear? In fact, he did not. Similar to Paul Maud’dib who, at the end of Dune Messiah, wandered into the desert a blind holy man, the American Taliban had acted in accordance with values that most American prize: self-reliance, ingenuity, spirituality and practical know-how. It is widely believed that the Fremen culture derives from their religion, Zensunni , an imaginative blending of Zen Buddhism and Sunni Muslim beliefs. However, a closer look reveals that the Fremen (similar to the American Taliban) were shockingly American in their core values. To demonstrate this, I begin by discussing the weirdness of Dune’s Fremen, their religion, customs and lifestyle. Then, I give a brief summary of American philosopher Ralph Waldo Emerson’s famous essay “Self-Reliance” followed by a similar treatment of John Dewey’s notion of democracy as a way of life. The essay returns to paint a clearer picture of the American Fremen and their exhilarating though dangerous faith in jihad as a way of life. (shrink)

Cosmopolis A Review of Cosmopolitics -/- 2015/3-4 -/- Editorial Dominique de Courcelles & Paul Ghils -/- This issue addresses the general concept of “spirituality” as it appears in various cultural contexts and timeframes, through contrasting ideological views. Without necessarily going back to artistic and religious remains of primitive men, which unquestionably show pursuits beyond the biophysical dimension and illustrate practices seeking to unveil the hidden significance of life and death, the following papers deal with a number of interpretations covering a (...) wide field extending from belief to theory, from emotions to concepts, from the wisdom of personal experience to the most sophisticated doctrines. Spirit and spirituality are indeed many-faceted notions. They may refer to the intricate world of the interacting spirits which inhabit living beings in animistic traditions, without excluding a “grand force” linking human beings within a dynamic whole on which their very existence rely . They also bear upon more atomistic and either/or approaches of Western philosophy, which have become embodied in Cartesian dualism against a monotheist background, to the point of freezing the essence of individuals and culminating in the extreme individualism that characterizes our contemporaries. However, this equally refers to the opposite conception of materialism, across times and cultures, from ancient India and Greece (Cārvāka, originally known as Lokāyata, or some Buddhist doctrines for the former, Democritus or Lucretius for the latter) to more contemporary materialistic schools, whether modern or postmodern. -/- The following papers look at the contrasting forms of the philosophy and spirit of the human factor set into a whole, with no artificial disjoint between the psychical and the physical levels, as Wittgenstein put it: “And how can a body have a soul?”. This approach is not unrelated to the notion of anthropocene examined in a recent issue of Cosmopolis, with provides another comprehensive framework open to a spiritual life emerging from the very environment that generated it. -/- *** The first section of this issue was edited by Dominique de Courcelles, director at the National French Research Centre (CNRS), whom we wish to thank for collecting relevant studies relating to the religious and political questions, with a view to focusing on the war of ideas inevitably waged behind images, concepts and perceptions, taking an asymmetrical approach. To the extent that they are mindful of global/local interactions and include representations, opinions and beliefs, such disciplines as philosophy, philology, history and social sciences can provide useful studies accounting for new practices in geopolitics and a fair diplomacy. -/- In her introduction, Dominique de Courcelles first poses the question of how the religious and political spheres interrelate, with their corresponding religious demands and humanistic values. She then suggests that the right question today may be breaking with the philosophy of human rights concerned with the defense of human beings against the hazards of arbitrary politics or the instrumental use of religion, in favour of a fair philosophy of humankind, a new humanism. This would consist in recognizing a common loyalty of all towards one interhuman, not only interstate community, to protect it from both the autonomy demanded by individuals and the instrumental use of minorities. -/- Considering the fact of diversity, so important today in terms of both politics and religion, Abdelhai Azarkan looks at the conditions under which tolerance could obtain the double status of right and duty. He revisits to two philosophers, John Locke and Voltaire, who thought about it from the historical reality of religious wars. The former made tolerance into a right, basing his analysis on the political-legal level, while the latter saw tolerance as a duty, from an analysis based on ethical-political criteria. -/- Mathieu Guidère examines what he calls semantic denominationalism, a term which implies religious attributes and identities, whichever national loyalties or personal belonging they may have at the same time. Since the early 2000s, thie phenomenon has expanded tremendously, compounded by the “war on terror” and the over media-oriented terrorist actions. Denominational expressions act as formal names for ordinary and high-profile players in domestic and foreign policies of democratic states. These systems reveal a receding secularization, while the powerful comeback of religious identities signals the failure of nation-states and the weakening of the humanist spirit. -/- Barbara De Poli retraces the history of a contemporary jihadism claiming its Islamic essence and asserting the truth of genuine coranic principles via the war on infidels, with a view to restoring the Caliphate. After defining the term jihad, she shows that even if this contemporary jiadism is spreading in the Muslim world, it radically departs from Islamic law and the received use of the term jihad, in so far as it is rooted in the early radical thinking of Islamic ideologues in the 20th century, starting with with Hassan al-Banna, the founder of the Muslim Brotherhood. This current has been fueled by by international conflicts since the outbreak of the war in Afghanistan, in which the so-called Western countries bear a major responsibility. -/- Abderrazak Sayadi starts from the Tunisian experience to ask the question of humanist values and democracy within the relationships between the religious and political spheres. As a historian of religion, he is brought to demystify certain islamic principles and to paying attention to the reform of law, seeing the separation of religion and politics as a precondition to a successful democratic gamble and the establishment of a renewed humanism. -/- Dominique de Courcelles reminds us that getting a better knowledge of narrations and words makes it possible to better understand how logical and rhetorical thinking works for those who wage an asymetriccal war, re-enchanting and mystifying the world to better take control. As soon as 1932, an exchange of letters between Einstein and Freud made it clear that, in order to free man from fatality and war, education understood as culture was fundamental. Such illustrations as the exécution of Oussama ben Laden and the Caliph’s speech in Mossoul show that a premiminary analysis of images and words is essential to a fair diplomacy conducted by people from civil society, whose culture and wisdom allow justice and force to speak together and better resist war. -/- Marcel Boisard thinks that on the day the guns fall silent, exhausted by war, we will not return to the state borders that have prevailed for a century as an outcome of the Sykes-Picot agreement of 1916. It is time to prepare the “day after”, which will be a huge challenge. To this end, a summit of Middle-East nations is urgently needed to globally decide the fate of those peoples. On the condition that we know who the enemy is and accept to name it, to understand the history of the countries, groups and alliances, and to question any false or self-interested sense of certainty. -/- *** In the second section, Paul Schafer provides the author’s experiences to explain how culture, from the artistic to the biological, has the power to to open the doors to spirituality, from the inner self to the global environment. He asks himself whether a relative permanence of spirituality can arise from the specific moments that characterize it. Laurent Ledoux synthesizes the conclusion of a symposium held on 22 January 2015 on the links between philosophy and management, on the basis of the spiritual dimension conceived as “natural” and the answers it may suggest to the issues that face the organizations in a “contemporaniversal” world. Jacques Rifflet makes that question in a secular perspective, based on the wellsprings of personal commitment before it can be caught by any religious creed or scientific theory. In this sense spirituality, in alliance with reason, both inspires human consciousness and illuminates its destiny. Sami Aldeeb asks himself whether Islam can be reconciled with human rights. Caught between the belief in an absolute and final Word descended from the sky, and evidence showing that any religion is the creation of a given culture and a society situated in time and space, the Makkan and … contexts et médinois call for differentiated, if not opposite answers and exegeses. Bernard Carmona provides the outline of a dialogical framework, which is known to be a feature of debates between the various philosophical schools of classical India, exemplified here by the transdisciplinary perspective of debates within a Buddhist context. *** The articles not focused on the previous topic include a study by Landry Signé on China’s strategy, competing with the United States to control African resources. The author deals with the specific case of China’s rapprochement with Southern Sudan since Sudan was broken up. In the last paper, Goran Fejić and Rada Iveković, return to the essential role that women should play, and comments upon the role of some international legal instruments related in particular to the elimination of all forms of discrimination. The perspective is transnational and transethnic and is based on secular criteria, as regards nation-building and more generally society-building. Considering the persistence of widespread violence, whether in times of armed conflict or in times of peace, the question remains whether it is possible to fully implement rights and justice instruments. (shrink)

The chapter begins with a brief genealogy of psychoanalytic thinking in the broad area of religion. It first looks at Freud’s early modernist dismissal of religion, comparing this with Lacan’s valorisation of the ethical quests that both religion and psychoanalysis are said to share at the heart of their discourse. It then examines Lacan’s later pessimism in opposing the ‘triumph of religion’ in our times to an increasingly uncertain future for psychoanalysis. Moving from a conceptual discussion of these themes to (...) an applied analysis of contemporary challenges, the chapter highlights the contribution of psychoanalysis to an understanding of the aesthetics of violence informing the eschatology of Islamic terror within contemporary global jihadism. (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)

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)

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)

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)

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 excavates the practice-oriented background and therapeutic significance of emptiness in the Madhyamaka philosophy attributed to Nāgārjuna and Sengzhao. Buddhist emptiness unravels experiential and linguistic reification through meditation and argumentation. The historical contexts and uses of the word indicate that it is primarily a practical diagnostic and therapeutic concept. Emptiness does not lead to further views or truths but, akin to yet distinct from Ajñāna and Pyrrhonian skepticism, the suspension of assertion. This sense of emptiness as a practice can (...) be traced in the intercultural transmission of Madhyamaka from Nāgārjuna, its paradigmatic philosopher, to Sengzhao 僧肇, its first pivotal indigenous Chinese representative. (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)

Modern military organizations are paternalistic organizations. They typically recognize a duty of care toward military personnel and are willing to ignore or violate the consent of military personnel in order to uphold that duty of care. In this paper, we consider the case for paternalism in the military and distinguish it from the case for paternalism in medicine. We argue that one can consistently reject paternalism in medicine but uphold paternalism in the military. We consider two well-known arguments for the (...) conclusion that military organizations should not be entitled to use experimental drugs on troops without first obtaining the informed consent of those troops. We argue that both of these are unsuccessful, in the absence of an argument for the rejection of paternalism in the military altogether. The case for military paternalism is widely accepted. However, we consider three ways in which it could be challenged. (shrink)

This paper defends the idea that phenomenological approaches to self-consciousness can enrich the current analytic philosophy of perception, by showing how phenomenological discussions of minimal self-consciousness can enhance our understanding of the phenomenology of conscious perceptual experiences. As a case study, I investigate the nature of the relationship between naïve realism, a contemporary Anglophone theory of perception, and experiential minimalism (or, the ‘minimal self’ view), a pre-reflective model of self-consciousness originated in the Phenomenological tradition. I argue that naïve realism is (...) not only compatible with, but can be supplemented with experiential minimalism in a novel way. The suggestion is that there are reasons to combine naïve realism and experiential minimalism. My focus here will be on drawing a connection between the notion of minimal self and two core theoretical commitments of naïve realism, relationalism and transparency. (shrink)

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)

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

How can we have a sense of the presence of ordinary three-dimensional objects (e.g., an apple on my desk, a partially occluded cat behind a picket fence) when we are only presented with some parts of objects perceived from a particular egocentric viewpoint (e.g., the facing side of the apple, the unoccluded parts of the cat)? This paper presents and defends a novel answer to this question by incorporating insights from two prominent contemporary theories of perception, naïve realism and sensorimotor (...) theory. Naïve realism is the view that perception is fundamentally a matter of obtaining a relation of ‘acquaintance’ with some mind-independent entities (e.g., objects, properties, events). Sensorimotor theory holds that perception involves implicit practical understanding or ‘anticipation’ of the covariance between movements and sensory changes. I argue that perceptual presence is best accounted for in terms of the combination of our direct ‘acquaintance’ with some parts of perceived objects and sensorimotor ‘anticipations’ of how the objects would look different depending on some movements and actions. (shrink)

I argue that a two-dimensional model of social objects is uniquely positioned to deliver explanations for some of the puzzling metaphysical features of words. I consider how a type-token model offers explanations for the metaphysical features of words, but I give reasons to find the model wanting. In its place, I employ an alternative model from social ontology to explain the puzzling data and questions that are generated from the metaphysical features of words. In the end I chart a new (...) path that foregrounds the agent-dependence and social conditions for word kinds. (shrink)

De burgemeester van Etterbeek liet tijdens de afgelopen periode van vrieskou daklozen van straat halen. Soms tegen hun wil in. Omdat het soms nodig is om mensen tegen zichzelf te beschermen.

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)

This paper argues that it is prudentially wise to defer to groups about how they are essentially constituted and defined. After a few words situating the paper in my greater research project (§1), I articulate the kind of deference I have in mind (§2). Then I offer two conditional arguments on why it is epistemically desirable to let other people tell you how they ought to be identified (§3). The first argument is that people are owed lexical sovereignty because denying (...) it is absurd; the second is that modest skeptics ought to agree with it on the basis of some relatively anodyne and plausible epistemic considerations. (shrink)

Early Confucian “moral psychology” developed in the context of undoing reactive emotions in order to promote relationships of reciprocal recognition. Early Confucian texts diagnose the pervasiveness of reactive emotions under specific social conditions and respond with the ethical-psychological mandate to counter them in self-cultivation. Undoing negative affects is a basic element of becoming ethically noble, while the ignoble person is fixated on limited self-interested concerns and feelings of being unrecognized. Western ethical theory typically accepts equality and symmetry as conditions of (...) disentangling resentment; yet this task requires the asymmetrical recognition of others. Confucian ethics integrates a nuanced and realistic moral psychology with the normatively oriented project of self-cultivation necessary for dismantling complex negative emotions in promoting a condition of humane benevolence that is oriented toward others and achieved through self-cultivation. (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)

Abstract: Networking is one of the most important areas currently used for data transfer and enterprise management. It also includes the security aspect that enables us to protect our network to prevent hackers from accessing the organization's data. In this paper, we would like to learn what the network is and how it works. And what are the basics of the network since its emergence and know the mechanism of action components. After reading this paper - even if you do (...) not have a general background on networking - you will be able to manage your own network and be able to distribute and control your ip. (shrink)

The study aimed to identify the leadership features and their relationship to increasing achievement motivation among Palestinian police employees in Gaza Strip in light of the Corona pandemic. To achieve the study’s objectives, the researchers used the descriptive method in its analytical method, using a questionnaire applied to the police officers at the Central Governorate Police Station, whose number is (113) individuals. They were chosen in a stratified, random manner, and the study resulted in a set of results, the most (...) important of which is that the effect of leadership characteristics of Palestinian police employees in Gaza Strip, which came with a relative weight (76.20%), which is, to a large extent, the level of increase in achievement motivation among employees in the Palestinian Police in Gaza Strip. Gaza under the outbreak of the Corona epidemic? Which came with a relative weight (82.40%), which is to a large extent. While it resulted in a positive correlation between the impact of leadership characteristics and the increase in achievement motivation, there are no statistically significant differences between the averages of the study sample's estimates about the impact The leadership characteristics of the Palestinian Police in Gaza Strip are attributed to the variable of the age group, academic qualification, scientific specialization, scientific experience. There are no statistically significant differences between the averages of the estimates of the individuals of the study sample about The achievement motivation in the Palestinian Police in Gaza Strip is attributable to a variable, age group, academic qualification, scientific specialization, scientific experience, and in light of these results the researchers suggested a set of recommendations, the most important of which are: The need to tighten penalties for individuals by the Central Governorate Police Station for violating the instructions issued by the Ministry Interior In light of the outbreak of the Corona epidemic, increased interest in preparing and organizing specialized training courses and programs in the field of dealing with all different segments in order to preserve the lives of people from the Corona epidemic. (shrink)

What follows is an attempt to do some conceptual housekeeping around the notion of secret law as provided by Christopher Kutz (2013). First I consider low-salience (or merely obscure) law, suggesting that it fails to capture the legal and moral facts that are at stake in the case which Kutz used to motivate it. Then I outline a theoretical contrast between mere obscurity and secrecy, in contrast to the 'neutral' account of secrecy provided by Sissela Bok (1989). The upshot of (...) the two sections is that low-salience law is neither secret law nor necessarily problematic, though it closely resembles a kind of law that is both secret and problematic: namely, those legal obscurities that subvert manifest interests related to the informational needs of citizens. The ensuing argument undermines the fiction of constructive presence found in Austin and Blackstone. (shrink)