In this paper, I show that Aristophanes’s speech in Plato’s Symposium is tied into an interesting and hitherto unexplored web of ideas in Plato’s ethics and psychology. The poet’s analysis of erōs as ‘leading us to what “belongs” (the oikeion)’ (193d2) and as ‘restoring us in our “original nature” (archaia phusis)’ (193d4) is not a mere negative contribution that renders him a ‘target for Diotima’s fire’ (Dover). Rather, he unwittingly communicates central ethical and psychological ideas which we find developed in (...) key passages of Plato’s dialogues. What is interesting is that Diotima in a curious passage seems to dismiss his contribution of the oikeion as unrelated to our good (agathon) and irrelevant to the analysis of desire (205d10–206a1). I argue that this interpretation of Diotima’s response to Aristophanes, which would render her position an ethical anomaly in Plato’s dialogues, should be rejected. Instead, it is more plausible to read her response as proposing a revisionary conception of the oikeion, relying on the idea that our agathon is our true oikeion. In addition, I tentatively suggest that the theory of psychic pregnancy may be seen as presenting the agathon of wisdom of virtue produced in the ascent as an oikeion. Just as fascinating as Diotima’s stance on the oikeion is the question how her teachings relate to the concept of an archaia phusis of the soul. The idea that the soul’s self-perfection constitutes a return to a temporally prior condition of excellence, which in two places other than the Symposium (Republic X, Timaeus) is called the ‘archaia phusis’, is pervasive and centrally important to Plato’s psychology. I address the question whether Diotima’s ascent passage constitutes a psychological anomaly in portraying self-perfection as unrelated to the concept of the archaia phusis. I argue that an answer to this depends on the stance we take on the Symposium’s position regarding the immortality of the soul. While a reading that posits a rejection of immortality in the Symposium must indeed deny a role for the concept in Diotima’s speech, I show that a reading allowing for immortality as a theoretical commitment in the background has an interesting interpretative option: along with Timaeus 90d5, it may fruitfully interpret the ascent as an ordering of the soul ‘in accordance with its archaia phusis’. (shrink)

Sweden features near the top of most gender-equality rankings. The World Economic Forum rates it as having one of the narrowest gender gaps in the world. But Sweden is not only a good place to be a woman: it also appears to be an idyll for new dads. Close to 90% of Swedish fathers take paternity leave. In 2013, some 340,000 dads took a total of 12 million days’ leave, equivalent to about seven weeks each. Women take even more leave (...) days to spend time with their children, but the gap is shrinking. Why do Swedish dads take so much time off work to raise their children? (shrink)

Solar power is a very important source of renewable energy for many low power systems. Matching the power consumption level with the supply level can make a great difference in the efficiency of power utilization. MoSe2, crystals (photo-electrodes) have been grown via a direct vapour transport technique. This paper presents results of Photo Voltage (VPh) Vs. Photo current (IPh)curves measured for MoSe2 crystals of different Intensity levels between 10, 20,…100W/cm2 in Polychromatic as well as Monochromatic light. We finding the Open (...) circuit Voltage (VOC), Short circuit current(ISC), fill factor and photo conversion efficiency (?) of Mose2 crystals. The Photo conversion efficiency of this MoSe2 crystals are less than 0.1% in Polychromatic light but nearly 1% in Monochromatic light H. S. Patel | S. P. Shukla | Hitesh Parmar "Optical Response of MoSe2 Crystals" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-1 | Issue-3 , April 2017. (shrink)

Background: A bean is the seed of one of several genera of the flowering plant family Fabaceae, which are used as vegetables for human or animal food. They can be cooked in many different ways, including boiling, frying, and baking, and are used in many traditional dishes throughout the world. Beans are one of the longest-cultivated plants. Broad beans, also called fava beans, in their wild state the size of a small fingernail, were gathered in Afghanistan and the Himalayan foothills. (...) In a form improved from naturally occurring types, Beans were an important source of protein throughout old and new world history, and still are today. Objectives: The main goal of this expert system is to get the appropriate diagnosis of disease and the correct treatment. Methods: In this paper, the design of the proposed Expert System was produced to help farmers and those interested in agriculture in diagnosing many of the Bean diseases such as Fusarium wilt, Charcoal rot or ashy stem blight, Bacterial leaf spot and blight, Mung bean yellow mosaic virus, Cercospora leaf spot. The proposed expert system presents an overview of Bean diseases are given, the cause of diseases outlined and the treatment of disease whenever possible is given out. CLIPS Expert System language was used for designing and implementing the proposed expert system. Results: The proposed Bean diseases diagnosis expert system was evaluated by Agricultural experts and some friends interested in agriculture and they were satisfied with its performance. Conclusions: The proposed expert system is very useful for Farmers and those interested in agriculture. (shrink)

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

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)

The rapid advancements in artificial intelligence, particularly in natural language processing, have brought to light a critical challenge, i.e., the semantic grounding problem. This article explores the root causes of this issue, focusing on the limitations of connectionist models that dominate current AI research. By examining Noam Chomsky's theory of Universal Grammar and his critiques of connectionism, I highlight the fundamental differences between human language understanding and AI language generation. Introducing the concept of semantic grounding, I emphasise the need for (...) AI to connect language with real-world experiences and context to achieve true understanding. While multi-modal models represent a step forward, they fall short of addressing the core issue. The article concludes with a call for a course correction in AI development, advocating for the integration of embodied cognition, dynamic learning, hybrid models, and ethical practices. This shift is essential for creating AI systems that can meaningfully interact with the world, reducing the incidence of hallucinations and enhancing their reliability and utility. (shrink)

This essay explores the concept of emergence within the framework of noncommutative systems, challenging traditional views that tie emergent behaviour to commutative rule sets. Emergence typically refers to the phenomena where higher-level complexity arises from the interactions of simpler components, often under deterministic and commutative systems. However, noncommutative systems, where the order of operations affects the outcome, introduce a unique layer of complexity that complicates this understanding. By examining the properties of noncommutative systems through formal mathematical analysis and exploring case (...) studies from quantum mechanics, this essay investigates whether emergence can genuinely arise under noncommutative conditions. The findings suggest that noncommutative rule sets lead to a richer and more intricate form of emergent behaviour, characterised by path dependence and sequence sensitivity. This challenges our existing models of complexity and opens up new pathways for understanding emergent phenomena in both physical and cognitive systems. The implications of this analysis extend beyond theoretical curiosity, suggesting that emergent properties may exist in unexpected and non-linear domains, reshaping our perception of order, chaos, and complexity. (shrink)

The words we wield possess the power to sculpt our realities and selves. This paper introduces a dichotomy of Kalimaat-e-Safa (کلمات صفا) i.e., Puritative Words and Kalimaat-e-Ghubar (کلمات غبار) i.e., Dustitative Words, exploring their impact on the Self's integration and disintegration. Through a lens that connects existential philosophy, cognitive psychology, and linguistic analysis, we define the transformative potential of Puritative Words to foster resilience, clarity, and growth amidst life's adversities. Conversely, Dustitative Words are examined for their capacity to cloud perception (...) and fragment the Self. Beyond theoretical exploration, this paper offers pragmatic strategies for cultivating linguistic mindfulness, advocating for a deliberate choice of words as a pathway to personal and collective well-being. By redefining our linguistic choices, we not only ease the complexities of existence with greater agency but also contribute to a more integrative and coherent narrative of the Self. (shrink)

The Complex Emergent Model of Language Acquisition (CEMLA) offers a new perspective on how humans acquire language, drawing on principles from complexity theory to explain this dynamic, adaptive process. Moving beyond linear and reductionist models, CEMLA views language acquisition as a system of interconnected nodes, feedback loops, and emergent patterns, operating at the edge of chaos. This framework captures the fluidity and adaptivity of language learning, highlighting how understanding and fluency arise through self-organisation, phase transitions, and interaction with diverse linguistic (...) input. By embracing the complexity of language acquisition, CEMLA provides a comprehensive model that reflects the true nature of human communication. (shrink)

This essay explores the indispensable role of silence in the construction of meaning within language, arguing that silence is not just an absence of sound but a presence that shapes and defines communication. Drawing upon Jacques Derrida's concept of différance, the essay examines how silence functions as a foundational element that allows for the deferral and differentiation of meaning. Through a detailed analysis of silence in both spoken and written language, the essay demonstrates that silence is essential for structuring language, (...) creating space for reflection, and enabling the depth and nuance that language requires to convey complex ideas. The paradox of silence as both a presence and an absence is explored, showing how silence operates as a vital force in the ongoing process of meaning-making. By integrating Derrida’s philosophical insights with empirical observations on the role of silence, the essay provides a comprehensive understanding of silence as a key component of language, one that is crucial for communication, understanding, and the expression of being. (shrink)

Silence is a multifaceted concept which is not merely as an absence of sound but a presence with significant ontological, existential, and phenomenological implications. Through a thematic analysis, this paper deconstructs silence into various dimensions—its ontology, linguistic universality, and its function as cessation of speech, a form of listening, an act of kenosis, a form of ascesis, and a way of life. The study employs philosophical discourse and mathematical notation to delve into these aspects, demonstrating that while each perspective sheds (...) light on certain facets of silence, none can comprehensively encapsulate its essence. The research underscores the paradoxical nature of silence. It is both a universal phenomenon recognised across cultures and an intimate, personal experience that resists definitive categorisation. The paper concludes that the true nature of silence, particularly when considering the state of "being silent," remains indefinable and elusive, inviting deeper contemplation on its role in human experience. (shrink)

We’ll approach the notion of object in Wittgenstein’s Tractatus LogicoPhilosophicus (1921), initially from the so-called “substance argument”. The discourse about necessary conditions for the propositional sense cannot be treated in terms of truth or falsity in the Tractatus without resulting in a infinite regress. Such a situation is avoided by postulating a substance made up of simple objects, thus ensuring the assumed total determination of sense. Passages from the Notebooks (1914-1916) suggest that the idea of simples is given in the (...) ideia of logical analysis and is reached without the necessity of examples for objects. Another early Wittgenstein’s remarks provide examples for objects based on itens of phenomenical nature, such as a point in the visual field. An important analogy for the phenomenical approach for the object, which is found in the aphorisms 2.013-2.0131 of Tractatus, presents a problem for the absolute simplicity. This problem concerns the notion of form, a concept that attributes an ontological dependence to the object given by its essencial capacity of occurrence in atomic facts. The form of the objects results from an appropriation of the Context Principle used by Frege in his Grundlagen der Arithmetik (1884) and differs from the notions of pictorial form and logical form. The dependence assigned to the object through its form contradicts the independent subsistence established by its simplicity. The Tractarian object results from necessary demands for determination of propositional sense, reached by means of an clarificatory analysis which prioritizes the transformative and regressive modes of analysis. Simplicity and Context Principle are, under this perspective, rules of a syntax for a logical or significative use of language, which are reflected in the Tractarian ontology through the ideia that the logico-philosophical investigation of language reveals essencial aspects of the intimate structure of the world. (shrink)

Abstract: As artificial intelligence (AI) technologies become more integrated across various sectors, ethical considerations in their development and application have gained critical importance. This paper delves into the complex ethical landscape of AI, addressing significant challenges such as bias, transparency, privacy, and accountability. It explores how these issues manifest in AI systems and their societal impact, while also evaluating current strategies aimed at mitigating these ethical concerns, including regulatory frameworks, ethical guidelines, and best practices in AI design. Through a comprehensive (...) analysis of these challenges and proposed solutions, this paper seeks to contribute to the ongoing discourse on responsible AI development, emphasizing the need for a balance between technological advancement and ethical integrity. (shrink)

The Protein Ontology (PRO) provides a formal, logically-based classification of specific protein classes including structured representations of protein isoforms, variants and modified forms. Initially focused on proteins found in human, mouse and Escherichia coli, PRO now includes representations of protein complexes. The PRO Consortium works in concert with the developers of other biomedical ontologies and protein knowledge bases to provide the ability to formally organize and integrate representations of precise protein forms so as to enhance accessibility to results of protein (...) research. PRO (http://pir.georgetown.edu/pro) is part of the Open Biomedical Ontologies (OBO) Foundry. (shrink)

This paper reconstructs Sartre’s account of the “circuit of ipseity” as an integral theory of the experiential, agentive and normative aspects of self-consciousness. At the core of this theory is a conception of human (self-)consciousness as lacking, and the correlation between lacking and ideal. In Section 1, I show how this theory manages to satisfy the apparently incompatible requirements generated by the idea of a pre-reflective cogito. Section 2 discusses practical self-consciousness, in particular the agent’s consciousness of herself as self-determined (...) in the projection and pursuit of ends, and how this is accounted for in Sartre’s theory by the correlation of lack and ideal. Section 3 first clarifies the Sartrean conception of the ideal by comparing it with Korsgaard’s, and then reconstructs Sartre’s account of practical normativity by showing how it can be read as emerging from a critical engagement with Heidegger. (shrink)

Brain-related diseases are among the most difficult diseases due to their sensitivity, the difficulty of performing operations, and their high costs. In contrast, the operation is not necessary to succeed, as the results of the operation may be unsuccessful. One of the most common diseases that affect the brain is Alzheimer’s disease, which affects adults, a disease that leads to memory loss and forgetting information in varying degrees. According to the condition of each patient. For these reasons, it is important (...) to classify memory loss and to know the patient at what level and his assessment of Alzheimer's disease through CT scans of the brain. In this thesis, we review ways and techniques to use deep learning classification to classifying the Alzheimer's Disease The proposed method used to improve patient care, reduce costs, and allow fast and reliable analysis in large studies. The model will be designed using Python language for implementing the system, which is very useful for doctors, classifying the Alzheimer's Disease, was used. The model used 70% from image for training and 30% from image for validation, our trained model achieved an accuracy of 100% on a held-out test set. (shrink)

In this paper, we propose a new concept named the uniform single valued neutrosophic graph. An illustrative example and some properties are examined. Next, we develop an algorithmic approach for computing the complement of the single valued neutrosophic graph. A numerical example is demonstrated for computing the complement of single valued neutrosophic graphs and uniform single valued neutrosophic graph.

This paper approaches Husserl’s analysis of time-consciousness from a mereological perspective. Taking as inspiration Bergson’s idea that pure durée is a multiplicity of interpenetration, I will show, from within Husserlian phenomenology, that the absolute flow can indeed be described as a whole of interpenetrating parts. This mereological perspective will inform my re-consideration of the much-discussed issue of Husserl’s self-criticism concerning the schema of content and apprehension. It will also reveal a fundamental similarity between Husserl’s conception of the absolute flow and (...) Sartre’s conception of lived temporality. This paper consists of four sections. Section 2 presents the basic elements of Husserl’s mereology. Section 3 introduces the difficulty encountered by Husserl’s early account of time that makes use of the schema. I will examine Barry Dainton’s criticism of Husserl’s theory of time-consciousness against the background of the older debate between Meinong and Stern, a debate that has informed Husserl’s own account. Section 4 distinguishes two common criticisms of the schema from Husserl’s own self-criticism, which is in turn divided into two steps. It is shown how the second step of this self-criticism implies the interpenetration of the absolute flow and responds to Dainton’s criticism. Finally, Sect. 5 concludes with some comparative remarks. I will show how Husserl’s notion of absolute flow, as mereologically interpreted, anticipates Sartre’s conception of consciousness as self-transcendence, as well as how it accommodates the apparently conflicting mereological intuitions of Aristotle and Bergson. (shrink)

Robert Sparrow recently argues that state-driven moral bioenhancement is morally problematic because it inevitably invites moral perfectionism. While sharing Sparrow’s worry about state-driven moral bioenhancement, I argue that his anti-perfectionism argument is too strong to offer useful normative guidance. That is, if we reject state-driven moral bioenhancement because it cannot remain neutral between different conceptions of the good, we might have to conclude that all forms of moral enhancement program ought not be made compulsory, including the least controversial and most (...) popular state-driven program: compulsory (moral) education. -/- In this paper, I argue that instead, the spirit of Sparrow’s worry should be recast in the language of the capability approach – an approach that strives to enhance people’s capabilities to develop their own conceptions of the good by restricting itself from endorsing thick conceptions of the good. The distinction made regarding thick and thin conceptions of the good helps better capture sentiments against state-driven bioenhancement programs without falling prey to the issues I raise against Sparrow’s anti-perfectionist arguments. (shrink)

Artificial intelligence (AI) systems are increasingly adopted to make decisions in domains such as business, education, health care, and criminal justice. However, such algorithmic decision systems can have prevalent biases against marginalized social groups and undermine social justice. Explainable artificial intelligence (XAI) is a recent development aiming to make an AI system’s decision processes less opaque and to expose its problematic biases. This paper argues against technical XAI, according to which the detection and interpretation of algorithmic bias can be handled (...) more or less independently by technical experts who specialize in XAI methods. Drawing on resources from feminist epistemology, we show why technical XAI is mistaken. Specifically, we demonstrate that the proper detection of algorithmic bias requires relevant interpretive resources, which can only be made available, in practice, by actively involving a diverse group of stakeholders. Finally, we suggest how feminist theories can help shape integrated XAI: an inclusive social-epistemic process that facilitates the amelioration of algorithmic bias. (shrink)

In fact, people get neck problems due to something such as sports or woke and Wrong sleep habits. In this paper an expert system was designed to help users to correctly diagnose neck problems world (muscle spasm, Muscle aches, Meningitis, herniated cervical disc, Fibromyalgia, Cervical spondylosis, Trigger points) with some information about the disease and self-care. Java language was used to design and implement this expert system.

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)

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)

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)

The current COVID-19 pandemic and the previous SARS/MERS outbreaks of 2003 and 2012 have resulted in a series of major global public health crises. We argue that in the interest of developing effective and safe vaccines and drugs and to better understand coronaviruses and associated disease mechenisms it is necessary to integrate the large and exponentially growing body of heterogeneous coronavirus data. Ontologies play an important role in standard-based knowledge and data representation, integration, sharing, and analysis. Accordingly, we initiated the (...) development of the community-based Coronavirus Infectious Disease Ontology in early 2020. -/- As an Open Biomedical Ontology (OBO) library ontology, CIDO is open source and interoperable with other existing OBO ontologies. CIDO is aligned with the Basic Formal Ontology and Viral Infectious Disease Ontology. CIDO has imported terms from over 30 OBO ontologies. For example, CIDO imports all SARS-CoV-2 protein terms from the Protein Ontology, COVID-19-related phenotype terms from the Human Phenotype Ontology, and over 100 COVID-19 terms for vaccines (both authorized and in clinical trial) from the Vaccine Ontology. CIDO systematically represents variants of SARS-CoV-2 viruses and over 300 amino acid substitutions therein, along with over 300 diagnostic kits and methods. CIDO also describes hundreds of host-coronavirus protein-protein interactions (PPIs) and the drugs that target proteins in these PPIs. CIDO has been used to model COVID-19 related phenomena in areas such as epidemiology. The scope of CIDO was evaluated by visual analysis supported by a summarization network method. CIDO has been used in various applications such as term standardization, inference, natural language processing (NLP) and clinical data integration. We have applied the amino acid variant knowledge present in CIDO to analyze differences between SARS-CoV-2 Delta and Omicron variants. CIDO's integrative host-coronavirus PPIs and drug-target knowledge has also been used to support drug repurposing for COVID-19 treatment. -/- CIDO represents entities and relations in the domain of coronavirus diseases with a special focus on COVID-19. It supports shared knowledge representation, data and metadata standardization and integration, and has been used in a range of applications. (shrink)

Parkinson's Disease (PD) is a long-term degenerative disorder of the central nervous system that mainly affects the motor system. The symptoms generally come on slowly over time. Early in the disease, the most obvious are shaking, rigidity, slowness of movement, and difficulty with walking. Doctors do not know what causes it and finds difficulty in early diagnosing the presence of Parkinson’s disease. An artificial neural network system with back propagation algorithm is presented in this paper for helping doctors in identifying (...) PD. Previous research with regards to predict the presence of the PD has shown accuracy rates up to 93% [1]; however, accuracy of prediction for small classes is reduced. The proposed design of the neural network system causes a significant increase of robustness. It is also has shown that networks recognition rates reached 100%. (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)

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)

"The enterprise initiative is probably the most significant political and cultural influence to have affected Western and Eastern Europe in the last decade. In this book, academics from a range of disciplines debate Mary Douglas's distinctive Grid Group cultural theory and examine how it allows us to analyse the complex relation between the culture of enterprise and its institutions. Mary Douglas, Britain's leading cultural anthropologist, contributes several chapters."--BOOK JACKET.Title Summary field provided by Blackwell North America, Inc. All Rights Reserved.

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)

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)

Many people are worried about the harmful effects of climate change but nevertheless enjoy some activities that contribute to the emission of greenhouse gas (driving, flying, eating meat, etc.), the main cause of climate change. How should such people make choices between engaging in and refraining from enjoyable greenhouse-gas-emitting activities? In this chapter we look at the answer provided by decision theory. Some scholars think that the right answer is given by interactive decision theory, or game theory; and moreover think (...) that since private climate decisions are instances of the prisoner’s dilemma, one rationally should engage in these activities provided that one enjoys them. Others think that the right answer is given by expected utility theory, the best-known version of individual decision theory under risk and uncertainty. In this chapter we review these different answers, with a special focus on the latter answer and the debate it has generated. (shrink)

Both Philip and Andrew are philosophy students whose interests converge around the philosophy of technology broadly understood. Philip's interest is specifically aimed toward the ethics of Transhumanism and depictions of Transhumanism in works of fiction. On the other hand, Andrew finds himself more focused on religious behavior in the technological world. While the two perspectives might not seem that close, there is certain to be an overlap in Andrew and Philip's shared understanding of how technological phenomena play a crucial role (...) concerning religion and society. (shrink)

Abstract: This study aims to identify the level of creativity in the University of Palestine from the point of view of the employees, as the researchers used the descriptive and analytical method, 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 size of the sample (117) employees, of which (90) employees responded. The study reached a set of results, the most important of which (...) are: A high degree of creativity from the employees 'point of view, and the study confirmed that there were no differences in the level of creativity at the University of Palestine from the Employees point of view, according to demographic variables. The study presented a set of recommendations, the most important of which are: The need for universities to enhance creativity. (shrink)

This study attempts to reconstruct Nietzsche’s reading of Aristotle in the 1860s and 1870s—the years before he left his career as a philologist. Against the popular view that Nietzsche read only one book by Aristotle, namely the Rhetoric, the present study hopes to show that he had direct knowledge of several of Aristotle’s main works, while much of his interest in Aristotle centred on the latter’s account of art. The particular aim of this study is to explore how Nietzsche’s reading (...) of Aristotle contributed to the formation of The Birth of Tragedy. It will show that, although Nietzsche mentions Aristotle in his first book only en passant, his theory of tragedy should be understood against the background of Aristotelian poetics, especially as interpreted by such contemporaries as Jacob Bernays, Joseph Hubert Reinkens, and Gustav Teichmüller. (shrink)

Abstract: The Knowledge-Based System for Diagnosing Breast Cancer aims to support medical students in enhancing their education regarding diagnosis and counseling. The system facilitates the analysis of biopsy images under a microscope, determination of tumor type, selection of appropriate treatment methods, and identification of disease-related questions. According to the Ministry of Health's annual report in Gaza, there were 7,069 cases of breast cancer between 2009 and 2014, with 1,502 cases reported in 2014. In an era dominated by visual information, where (...) 65% of the population are visual learners, the Knowledge-Based System serves as an effective tool to aid long-term information retention by utilizing visual and textual resources. The system features a user-friendly interface, enabling students to diagnose the disease and expand their understanding. Furthermore, it can be accessed via smartphones. The Knowledge-Based System comprises three primary components: Firstly, it provides specific patient-oriented questions to familiarize students with the questioning process. Secondly, it facilitates the analysis of biopsy sample images to determine their integrity and identify potential infections. Lastly, the system incorporates animated videos illustrating various approaches for treating breast cancer. (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)

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)

Abstract: The incorporation of Artificial Intelligence (AI) into educational technology has dramatically transformed learning through Intelligent Tutoring Systems (ITS). These systems utilize AI to offer personalized, adaptive instruction tailored to each student's needs, thereby improving learning outcomes and engagement. This paper examines the development and impact of ITS, focusing on AI technologies such as machine learning, natural language processing, and adaptive algorithms that drive their functionality. Through various case studies and applications, it illustrates how ITS have revolutionized traditional educational methods (...) and addresses the challenges and limitations, including data privacy and system biases. The discussion also covers future directions in ITS development, highlighting emerging trends and potential advancements. The goal is to provide a thorough understanding of how ITS use AI to enhance educational experiences and suggest avenues for future research in this evolving field. (shrink)

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

Ontologies, as the term is used in informatics, are structured vocabularies comprised of human- and computer-interpretable terms and relations that represent entities and relationships. Within informatics fields, ontologies play an important role in knowledge and data standardization, representation, integra- tion, sharing and analysis. They have also become a foundation of artificial intelligence (AI) research. In what follows, we outline the Coronavirus Infectious Disease Ontology (CIDO), which covers multiple areas in the domain of coronavirus diseases, including etiology, transmission, epidemiology, pathogenesis, diagnosis, (...) prevention, and treatment. We emphasize CIDO development relevant to COVID-19. (shrink)

In the literature on expert trust, it is often assumed that track records are the gold standard for evaluating expertise, and the difficulty of expert identification arises from either the lack of access to track records, or the inability to assess them. I show, using a computational model, that even in an idealized environment where agents have a God’s eye view on track records, they may fail to identify experts. Under plausible conditions, selecting testimony based on track records ends up (...) reducing overall accuracy, and preventing the community from identifying the real experts. (shrink)

The issue of the use of the Nachlass material has been much debated in Nietzsche scholarship in recent decades. Some insist on the absolute interpretative priority of his published writings over those unpublished and suggest that an extensive engagement with the Nachlass is harmful because it is something Nietzsche rejected. To verify this claim, they appeal to the story of Nietzsche asking his landlord in Sils-Maria to burn some of his notes. Since the notes that were ultimately retrieved are purportedly (...) incorporated into the compilation The Will to Power, the story also leads some to conclude that Nietzsche rejected his project on the will to power. However, the reliability of this story has been questioned. In this manuscript I first present the decisive piece of evidence that will settle the controversy over the story’s authenticity. After showing that it is true that in 1888 Nietzsche wanted some of his notes burned, I address the question of what we can conclude from this story. I argue that it neither suggests the abandonment of the will to power project, nor warrants a devaluation of the Nachlass. Finally, I will discuss the methodological problem of the use of Nietzsche’s Nachlass in general. (shrink)

This paper aims to provide a clarification of the long debate on whether enhancement will or will not diminish authenticity. It focuses particularly on accounts provided by Carl Elliott and David DeGrazia. Three clarifications will be presented here. First, most discussants only criticise Elliott’s identity argument and neglect that his conservative position in the use of enhancement can be understood as a concern over social coercion. Second, Elliott’s and DeGrazia’s views can, not only co-exist, but even converge together as an (...) autonomy based theory of authenticity. Third, the current account of autonomy provided by DeGrazia fails to address the importance of rationality and the ability of self-correction, which, as a result impedes the theory to provide a fully developed account for authenticity. In conclusion, a satisfactory account of authenticity cannot focus only on identity or subjective preference. (shrink)

The rare but severe cerebral venous thrombosis occurring in some AstraZeneca vaccine recipients has prompted some governments to suspend part of their COVID-19 vaccination programmes. Such suspensions have faced various challenges from both scientific and ethical angles. Most of the criticisms against such suspensions follow a consequentialist approach, arguing that the suspension will lead to more harm than benefits. In this paper, I propose a rights-based argument against the suspension of the vaccine rollouts amid this highly time-sensitive combat of COVID-19. (...) I argue that by suspending a vaccine rollout, a government infringes people's right to take the risks they deem worth taking for their health. I also consider four potential objections to my argument and explain why none of them undermines my argument. (shrink)

COVID-19 often manifests with different outcomes in different patients, highlighting the complexity of the host-pathogen interactions involved in manifestations of the disease at the molecular and cellular levels. In this paper, we propose a set of postulates and a framework for systematically understanding complex molecular host-pathogen interaction networks. Specifically, we first propose four host-pathogen interaction (HPI) postulates as the basis for understanding molecular and cellular host-pathogen interactions and their relations to disease outcomes. These four postulates cover the evolutionary dispositions involved (...) in HPIs, the dynamic nature of HPI outcomes, roles that HPI components may occupy leading to such outcomes, and HPI checkpoints that are critical for specific disease outcomes. Based on these postulates, an HPI Postulate and Ontology (HPIPO) framework is proposed to apply interoperable ontologies to systematically model and represent various granular details and knowledge within the scope of the HPI postulates, in a way that will support AI-ready data standardization, sharing, integration, and analysis. As a demonstration, the HPI postulates and the HPIPO framework were applied to study COVID-19 with the Coronavirus Infectious Disease Ontology (CIDO), leading to a novel approach to rational design of drug/vaccine cocktails aimed at interrupting processes occurring at critical host-coronavirus interaction checkpoints. Furthermore, the host-coronavirus protein-protein interactions (PPIs) relevant to COVID-19 were predicted and evaluated based on prior knowledge of curated PPIs and domain-domain interactions, and how such studies can be further explored with the HPI postulates and the HPIPO framework is discussed. (shrink)