In this paper, I offer an expansionist view of the Frickerian central case of testimonial injustice, citing examples from the South Asian context. To defend this expansionist position, I provide an argument in three parts. First, I argue that credibility deficit and credibility excess are entangled with each other in such a way that often, one produces the other. Secondly, I contend that we should not say that systematic testimonial injustice is a consequence of credibility deficit only because of the (...) entanglement between them. I also contend that for being the central case of testimonial injustice, identity prejudice should not be necessarily negative; it can be positive as well. Propounding a twofold condition of the status of a knower, the last part claims that testimonial injustice occurs when one of the two conditions remains unmet. (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)

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)

As social and interdependent beings, we have responsibilities to each other. One of them is to recognize each other appropriately. When we fail to meet this responsibility, we often stigmatize. In this paper, I argue that the COVID-19-related stigmatization is a variation of the lack of recognition understood as an orientation to our evaluative features. Various stereotypical behaviors regarding COVID-19 become stigmatized practices because of labeling, stereotyping, separation, status loss and discrimination, and power. When people stigmatize COVID-19 victims, they orient (...) themselves to their evaluative quality of being vulnerable to the SARS-CoV-2 virus by internalizing the victims as dangerous, understanding them as separable, and being motivated to act with them differently. All this causes the COVID-19 victims to lose status and suffer discrimination for which they do not experience participatory parity in different facets of their lives, rendering the COVID-19-related stigmatization an appalling example of misrecognition. (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 explains how discrimination and COVID-19 related stigmas are intertwined. When people stigmatize COVID-19 victims, they act in ways for which the victims suffer status loss and discrimination. As a result, they do not enjoy participatory parity in various aspects of their life making COVID-19 related stigmatization a deplorable instance of discrimination. But a society already fraught with discrimination is a breeding ground of stigmatization often because of people’s fear and anxiety about their life once they become a patient (...) of a disease like COVID-19. (shrink)

This study contributes to the micro-credit literature by addressing the lack of philosophical dialogue concerning the issue of trust between micro-credit NGOs and rural poor women. The study demonstrates that one of the root causes of NGOs’ contested roles in Bangladesh is the norm that they use (i.e., trust) to rationalize their micro-credit activities. I argue that Bangladeshi micro-credit NGOs’ trust in poor village women is not genuine because they resort to group responsibility sustained through aggressive surveillance. I maintain so (...) by drawing on a trust-based theoretical framework that uses various philosophical insights. Drawing on the same conceptual framework, I also contend, somewhat softening the previous claim, that if micro-credit trust is trust at all, it is at most strategic, not generalized. For being strategic, it has many undermining effects on local social solidarity norms, rendering Bangladeshi micro-credit NGOs and strategic trust an odd couple with no moral compass. To bring forth the moral impetus in micro-credit activities, I lay out some recommendations intended for organizations, managers, and policymakers, consistent with normative corporate social responsibility initiatives. However, further studies can be initiated based on this paper, suggesting its importance for future research. (shrink)

In this paper we present the concept of neutrosophic quadruple algebraic structures. Specially, we study neutrosophic quadruple rings and we present their elementary properties.

হেগেল তাঁর “লজিক এজ মেটাফিজিক্স” নামক গ্রন্থাংশের শুরুতেই অল্প ব্যবধানে যুক্তিবিদ্যার দৃশ্যত দুটি ভিন্ন সংজ্ঞা প্রদান করেন। এ দুটি সংজ্ঞানুযায়ী, যুক্তিবিদ্যা বিশুদ্ধ ধারণার বিজ্ঞান হলেও এটিকে চিন্তার বিজ্ঞান হিসেবেও আখ্যায়িত করা যেতে পারে। কিন্তু প্রশ্ন হলো, হেগেল একই গ্রন্থাংশে অল্প ব্যবধানে যুক্তিবিদ্যার এ যে দুটি ভিন্ন সংজ্ঞা প্রদান করলেন, তার কারণ কী? বা এ দুটি সংজ্ঞার মধ্যে সম্পর্কই বা কী? তারা কি একে অপরকে সমর্থন করে? বা তারা কি আসলেই ভিন্ন দুটি সংজ্ঞা? নাকি একই বক্তব্যের দুটি ভিন্ন প্রকাশ? এ প্রশ্নগুলোর (...) উত্তর খোঁজাই বর্তমান প্রবন্ধের মূল উদ্দেশ্য। এক কথায়, প্রবন্ধের মূল উদ্দেশ্য হচ্ছে, হেগেল প্রদত্ত যুক্তিবিদ্যার দুটি ভিন্ন সংজ্ঞার মধ্যকার সম্পর্ক নির্ণয়। প্রবন্ধে লেখক দেখিয়েছেন যে, হেগেল প্রদত্ত যুক্তিবিদ্যার সংজ্ঞা দুটির মধ্যে পারস্পরিক যে সম্পর্ক তা কোনোভাবেই সাংঘর্ষিক বা বর্জনমূলক নয়। বরং এ সম্পর্ক রূপান্তরমূলক বা স্পষ্টীকরণমূলক বলে সংজ্ঞাদ্বয়কে একই মুদ্রার এপিঠ ওপিঠ বললেও অত্যুক্তি হবে না।. (shrink)

Drèze and Sen are not entirely right in their apparent glorification of the roles of nongovernmental organizations in Bangladesh in An Uncertain Glory: India and Its Contradictions because they leave out and/or de-emphasize some important issues, especially those that are related to the problematic trusting relationship between nongovernmental organizations in Bangladesh and rural poor women. Nongovernmental organizations’ use of trust disturbs social solidarity in rural Bangladesh mainly because of their massive supervision mechanism that they undertake to sustain the so-called trusting (...) relationship between them and their debtors. The massive supervision mechanism damages social solidarity also because it creates a tension between local norms and nongovernmental organizations’ neoliberalist values of “discipline, efficiency and competitiveness,” which nongovernmental organizations try to inject into villagers by their numerous social engineering programs, which are state’s responsibility. Nongovernmental organization monitoring has some psychological impacts on their clients that also contribute to shaking social solidarity. The absence of a proper trusting relationship between nongovernmental organizations and rural poor women reduces the capabilities of the latter as a result of which Drèze and Sen’s glorification of Bangladeshi nongovernmental organizations and Sen’s capabilities approach are in tension. However, there are strategies that Bangladeshi nongovernmental organizations should employ to address the issues raised due to their massive supervision mechanism. (shrink)

The author examines the problem of motivation about future generations. He argues that though many philosophers think that direct motivations are problematic for future generations only, they are not unproblematic for the current generations too, and that the motivation problem can be solved if we consider the idea of “leaving the earth no worse.” He also shows why such an idea should be promoted and can motivate us to work in the best interests of current and future generations. The author (...) also contends that prioritizing the idea of “leaving the earth no worse” is not exclusively anthropocentric. (shrink)

Development ethics is concerned with the justification of development in terms of different normative issues. Mahatma Gandhi was the greatest among all who contributed to the Indian nationalism movement. The focus of this article is to show that Mahatma Gandhi can be regarded as a third world precursor of development ethics. To facilitate the purpose, the writer will try to show first that Gandhi’s theory of ahimsa acts as a foundational ethics of his entire development thought, because it is against (...) arbitrary consumerism and unsustainable resource use. Then the writer will analyze three important concepts of Gandhi – sarvodaya, swadeshi and satyagraha – which are the three principles of sustainable development, an important aspect of development ethics. Through its preference to the essential unity and equality of all earthly creatures, the principle of sarvodaya shows an empathetic approach towards natural world. The swadeshi spirit is handy in getting support for the national economic planning. To fight against injustices, Gandhi resorted to the method of satyagraha. Hence it became a technique that made the foundation of development ethics (that is, ahimsa) practical. Before drawing the conclusion, the writer will briefly evaluate Gandhi’s development thought that will also depict how Gandhi pioneered development ethics. (shrink)

In this paper, I argue the importance of competition and cooperation cannot be denied as they both are instrumental in making any business transaction. Because two parties always set for themselves different priorities to a business transaction, business has been thought of in terms of competition. But cooperative action is also important, because in the case of cooperative activities the overall total is greater (though the outcomes differ) if we do cooperate than if we do not. Hence humans form cooperative (...) groups to compete for scarce resources. Those business firms, where employees take specialized, interdependent jobs and work together to compete in the free market, produce higher quality products and show greater work efficiency. Hence friendly cooperation is needed to compete more efficiently against other individuals or groups. It is for this reason people should value more in belonging to a group, practicing teamwork, helping others, etc. They should put more value on cooperation than competition though both competition and cooperation are natural to man. (shrink)

This paper aims to show the necessity of development ethics. For this purpose, I discuss two of many moral issues of development policy – poverty and corruption. I argue that reducing poverty and curbing corruption are the two moral issues that should be considered seriously, because poverty and corruption prevent people from getting any access to development. But in order to reduce poverty and to curb corruption value-neutral measures of economics are not enough. They are also involved with ethical assumptions. (...) I show that if any development policy maker wants to reduce poverty and corruption to some extent, he has to resort not only to value-neutral strategies of development, but also to the ethics of development. And this opens the door for development ethics that can contribute to the creation of a sane and judicious development policy. (shrink)

The purpose of the article is to solve an important scientific problem – further development of the basics of management decisions on the implementation of export-import activities based on the results of enterprise symptomatic diagnostics in disruption conditions of sustainable development of the world economy. The essence of enterprise symptomatic diagnostics in the context of management activity is specified by the results of the critical analysis of the scientific publications. The study of the features of the symptomatic diagnostics process of (...) enterprise export-import activity might become the basis for the development of a comprehensive approach to its implementation, which reveals the interaction of the theoretical, scientific and methodological basis and the targeted direction of managers` actions in the diagnostics process. Generalization of symptomatic complex of export-import activity of enterprises-manufacturers of BOPP films – Terichem Tervakoski, a.s. and Xpro India Ltd, helped to identify issues that are reducing its performance. A set of measures was explored in order to avoid the negative symptoms of export-import activity of Terichem Tervakoski and Xpro India Ltd. The authors revealed some dependency respecting that the more negative symptoms of export-import activity realization lead to decline the efficiency of its implementation. The results of the study might clarify the impact of symptoms on the results of the enterprise export-import performance. Symptomatic diagnostics of enterprise export-import activity is considered as the basis of a sequence of management measures in order to avoid negative symptoms of export-import activity. (shrink)

Critics of the computational connectionism of the last decade suggest that it shares undesirable features with earlier empiricist or associationist approaches, and with behaviourist theories of learning. To assess the accuracy of this charge the works of earlier writers are examined for the presence of such features, and brief accounts of those found are given for Herbert Spencer, William James and the learning theorists Thorndike, Pavlov and Hull. The idea that cognition depends on associative connections among large networks of neurons (...) is indeed one with precedents, although the implications of this for psychological issues have been interpreted variously — not all versions of connectionism are alike. (shrink)

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

Background: Obstetrics and gynaecology are many and common, where a woman suffers from problems related to pregnancy or her reproductive organs. Any part of her body may be affected due to some symptoms that are completely related to the reproductive organs when she is in a critical period for her, whether in her menstrual cycle, pregnancy, or disease conditions. The bulk of cases of diseases related to women and childbirth are dealt with great care and special care, as all diseases (...) related to women are considered very sensitive diseases due to the presence of the disease in sensitive and not simple places. A gynaecologist is a specialist in all diseases and problems related to the female sexual organs. They perform regular preventive medical exams, such as cervical smear tests and breast exams. It also provides consultations for women of all ages about the problems of contraception, infertility and menopause. Objectives: The objective of this expert system is to help and facilitate women in diagnosing diseases related to their obstetrics and gynaecology, a simple expert system has been designed consisting of ten various common diseases that affect women whether During or without pregnancy, Methods: In this system, the system consists of a list of some common symptoms, the correct diagnosis adopted for these diseases, and how to treat diseases in the correct way with the help of a consultant obstetrician and gynaecologist, Dr. Fathi Muhammad Al-Habibi, and these diseases are: uterine cancer, cervical cancer, Infertility, double uterus, ectopic pregnancy, endometrial cancer, female sexual dysfunction, endometriosis, faecal incontinence, female infertility, CLIPS Expert System language was used to design and implement the proposed expert system. Results: The proposed ten obstetrics and gynaecology diagnostic expert system was evaluated by medical students and they were satisfied with its performance. Conclusions: The proposed expert system is very useful for obstetricians and gynaecologists, patients with reproductive system problems, and recent graduates. (shrink)

The majority of studies on absorptive capacity (AC) underscore the importance of absorbing technological knowledge from other firms to create economic value. However, to preserve moral legitimacy and create social value, firms must also discern and adapt to (shifts in) societal values. A comparative case study of eight firms in the food industry reveals how organizations prioritize and operationalize the societal value health in product innovation while navigating inter- and intravalue conflicts. The value-sensitive framework induced in this article extends AC (...) by explaining how technically savvy, economic value–creating firms diverge in their receptivity, articulation, and reflexivity of societal values. (shrink)

By the end of his life Plato had rearranged the theory of ideas into his teaching about ideal numbers, but no written records have been left. The Ideal mathematics of Plato is present in all his dialogues. It can be clearly grasped in relation to the effective use of mathematical modelling. Many problems of mathematical modelling were laid in the foundation of the method by cutting the three-level idealism of Plato to the single-level “ideism” of Aristotle. For a long time, (...) the real, ideal numbers of Plato’s Ideal mathematics eliminates many mathematical problems, extends the capabilities of modelling, and improves mathematics. (shrink)

The concept of neutrosophic locally compact and neutrosophic compact open topology are introduced and some interesting propositions are discussed.

In Pietroski ( 2018 ) a simple representation language called SMPL is introduced, construed as a hypothesis about core conceptual structure. The present work is a study of this system from a logical perspective. In addition to establishing a completeness result and a complexity characterization for reasoning in the system, we also pinpoint its expressive limits, in particular showing that the fourth corner in the square of opposition (“ Some_not ”) eludes expression. We then study a seemingly small extension, called (...) SMPL +, which allows for a minimal predicate-binding operator. Perhaps surprisingly, the resulting system is shown to encode precisely the concepts expressible in first-order logic. However, unlike the latter class, the class of SMPL + expressions admits a simple procedural (context-free) characterization. Our contribution brings together research strands in logic—including natural logic, modal logic, description logic, and hybrid logic—with recent advances in semantics and philosophy of language. (shrink)

Abstract: Tomatoes are among the most popular vegetables in the world due to their frequent use in many dishes, which fall into many varieties in common and traditional foods, and due to their rich ingredients such as vitamins and minerals, so they are frequently used on a daily basis, When we focus our attention on this vegetable, we must also focus and take into consideration the diseases that affect this vegetable, a deep learning model that classifies tomato diseases has been (...) proposed. The aim of this paper is to diagnose tomato diseases based on a dataset containing 11000 picture and 11 classes. The model gave the final accuracy test with Accuracy (99.87%), F1-score (99.87%), Recall (99.87%), and Precision (99.88%) in an estimated time 1.36 second, as with these results it proved its effectiveness and good ability in the classification of the testing data. (shrink)

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)

Mouth ulcers, also known as canker sores, are a common oral health issue affecting a significant portion of the population. Early and accurate diagnosis of mouth ulcers is crucial for effective treatment and prevention of complications. This paper presents an expert system developed using CLIPS (C Language Integrated Production System) to diagnose mouth ulcer disease. The expert system utilizes a rule-based approach, incorporating a comprehensive knowledge base consisting of symptoms, risk factors, and medical literature related to mouth ulcers. By employing (...) an inference engine, the system evaluates patient input against the rules and generates a diagnosis based on the matching symptoms and relevant factors. The system also provides detailed explanations and recommendations for each diagnosis, aiding healthcare professionals and patients in understanding the condition and selecting appropriate treatment options. The development and validation of the expert system involved a multi-step process, including knowledge acquisition, rule formulation, and testing against a diverse dataset of mouth ulcer cases. The system's performance was evaluated by comparing its diagnoses with those made by medical professionals, demonstrating a high level of accuracy and consistency. The implementation of an expert system for diagnosing mouth ulcer disease offers several advantages, including the ability to provide timely and accessible healthcare services, reduce misdiagnosis rates, and assist healthcare professionals in decision-making processes. Moreover, it empowers individuals to make informed decisions about their health and seek appropriate medical intervention. This paper contributes to the field of medical expert systems by showcasing the practical application of CLIPS in the diagnosis of mouth ulcer disease. The results demonstrate the potential of expert systems as valuable tools for healthcare professionals and patients alike, enhancing the efficiency and accuracy of diagnosis in oral health care. (shrink)

A long series of studies in social psychology have shown that the explanations people give for their own behaviors are fundamentally different from the explanations they give for the behaviors of others. Still, a great deal of uncertainty remains about precisely what sorts of differences one finds here. We offer a new approach to addressing the problem. Specifically, we distinguish between two levels of representation ─ the level of linguistic structure (which consists of the actual series of words used in (...) the explanation) and the level of conceptual structure (which consists of the concepts these words are used to express). We then formulate and test hypotheses both about self-other differences in conceptual structure and about self-other differences in the mapping from conceptual structure to linguistic structure. (shrink)

In recent years, there has been a heated debate about how to interpret findings that seem to show that humans rapidly and automatically calculate the visual perspectives of others. In the current study, we investigated the question of whether automatic interference effects found in the dot-perspective task (Samson, Apperly, Braithwaite, Andrews, & Bodley Scott, 2010) are the product of domain-specific perspective-taking processes or of domain-general “submentalizing” processes (Heyes, 2014). Previous attempts to address this question have done so by implementing inanimate (...) controls, such as arrows, as stimuli. The rationale for this is that submentalizing processes that respond to directionality should be engaged by such stimuli, whereas domain-specific perspective-taking mechanisms, if they exist, should not. These previous attempts have been limited, however, by the implied intentionality of the stimuli they have used (e.g. arrows), which may have invited participants to imbue them with perspectival agency. Drawing inspiration from “novel entity” paradigms from infant gaze-following research, we designed a version of the dot-perspective task that allowed us to precisely control whether a central stimulus was viewed as animate or inanimate. Across four experiments, we found no evidence that automatic “perspective-taking” effects in the dot-perspective task are modulated by beliefs about the animacy of the central stimulus. Our results also suggest that these effects may be due to the task-switching elements of the dot-perspective paradigm, rather than automatic directional orienting. Together, these results indicate that neither the perspective-taking nor the standard submentalizing interpretations of the dot-perspective task are fully correct. (shrink)

Migraine is a complex neurological disorder characterized by recurrent moderate to severe headaches, accompanied by additional symptoms such as nausea, sensitivity to light and sound, and visual disturbances. Accurate and timely diagnosis of migraines is crucial for effective management and treatment. However, the diverse range of symptoms and overlapping characteristics with other headache disorders pose challenges in the diagnostic process. In this research, we propose the development of an expert system for migraine diagnosis using artificial intelligence and the CLIPS (C (...) Language Integrated Production System) framework. The expert system utilizes a rule-based inference engine to analyze patient-reported symptoms and provide reliable diagnoses or probability scores indicating the likelihood of migraine. The knowledge base of the expert system is designed based on expert knowledge obtained from medical professionals specializing in migraines. The collected knowledge is translated into a structured format suitable for the CLIPS inference engine, incorporating rules and facts to represent the diagnostic criteria and associated symptoms. The system prompts users to provide relevant information about their symptoms, medical history, and potential triggers. It applies the defined rules and facts to evaluate the likelihood of migraine and generate accurate diagnoses or probability scores. Preliminary evaluation results demonstrate the potential of the expert system as a valuable tool for diagnosing migraines. A dataset of anonymized patient records with confirmed migraine cases was used to test the system. The diagnoses generated by the expert system were compared against the known diagnoses, and a high level of accuracy was observed, with 90% of cases correctly diagnosed as migraines. These results highlight the effectiveness and reliability of the system in assisting medical professionals in the diagnosis of migraines. The proposed expert system offers several advantages for migraine diagnosis. It leverages the collective knowledge and expertise of experienced migraine specialists, providing a standardized and consistent approach to diagnosis. The system can handle large amounts of patient data and effectively analyse complex relationships between symptoms, risk factors, and diagnostic criteria. Furthermore, it offers real-time feedback and recommendations, supporting medical professionals in their clinical decision-making process. Future work involves refining the expert system based on feedback from medical experts, expanding the knowledge base to encompass a wider range of symptoms and risk factors, and conducting further evaluations to enhance its accuracy and applicability in clinical settings. The development of an expert system for migraine diagnosis has the potential to improve the diagnostic process, leading to more effective management and treatment strategies for individuals suffering from migraines. (shrink)

There is an increase in the use of in-door wireless networking solutions via Wi-Fi and this increase infiltrated and utilized Wi-Fi enable devices, as well as smart mobiles, games consoles, security systems, tablet PCs and smart TVs. Thus the demand on Wi-Fi connections increased rapidly. Rule Based System is an essential method in helping using the human expertise in many challenging fields. In this paper, a Rule Based System was designed and developed for diagnosing the wireless connection problems and attain (...) a precise decision about the cause of the problem. SL5 Object expert system language was used in developing the rule based system. An Evaluation of the rule based system was carried out to test its accuracy and the results were promising. (shrink)

The global water crisis is being exacerbated by climate change, even in the United States. Recycled water is a feasible alternative to alleviate the water shortage, but it is constrained by humans’ perceptions. The current study examines how residents’ water scarcity awareness and climate change belief influence their willingness to use recycled water directly and indirectly. Bayesian Mindsponge Framework (BMF) analytics was employed on a dataset of 1831 residents in Albuquerque, New Mexico, an arid inland region in the US. We (...) discovered that residents’ willingness to use direct recycled potable water is positively affected by their awareness of water scarcity, but only if they believe in the impacts of climate change on the water cycle. Meanwhile, the willingness to use indirect recycled potable water is influenced by water scarcity awareness, and the belief in climate change further enhances this effect. These findings implicate that fighting climate change denialism and informing the public of the water scarcity situation in the region can contribute to the effectiveness and sustainability of long-term water conservation and climate change alleviation efforts. (shrink)

Risk Management Strategies and Investment Behaviors are considered important factors in the investing activities of the retail investors. This study seeks to determine the relationship between Risk Management Strategies and Investment Behavior of Generation Z retail investors. The study is a correlational research and purposive sampling was used to select the respondents for this study. Cochran’s formula was utilized to determine the total sample size or total number of respondents. Spearman’s Rank-Order Correlation was employed to assess the significant relationship of (...) Risk Management Strategies and Investment Behaviors. Based on the results, it showed that risk management strategies have a significant relationship with one or more of the investment behaviors. Risk avoidance has a significant relationship with confirmation bias. Risk reduction has a significant relationship with all of the investment behaviors such as overconfidence, loss-aversion, recency bias, and confirmation bias. Risk transfer shows a significant relationship with only loss-aversion and confirmation bias. And lastly, risk acceptance also has a significant relationship with all of the investment behaviors. This study recommends exploring other types of behavioral biases under cognitive bias and emotional bias to determine their correlation with risk management strategies. Also, broadening the sample size, demographic scope, and geographic scope of the study can improve the generalizability of the study and provide a more comprehensive understanding of the relationship between investment behavior and risk management strategies. The researchers also recommend to utilize interviews and focus group discussions to gain an in-depth understanding of the underlying values and attitudes concerning investment behavior. (shrink)

In this article, we propose the Fair Priority Model for COVID-19 vaccine distribution, and emphasize three fundamental values we believe should be considered when distributing a COVID-19 vaccine among countries: Benefiting people and limiting harm, prioritizing the disadvantaged, and equal moral concern for all individuals. The Priority Model addresses these values by focusing on mitigating three types of harms caused by COVID-19: death and permanent organ damage, indirect health consequences, such as health care system strain and stress, as well as (...) economic destruction. It proposes proceeding in three phases: the first addresses premature death, the second long-term health issues and economic harms, and the third aims to contain viral transmission fully and restore pre-pandemic activity. -/- To those who may deem an ethical framework irrelevant because of the belief that many countries will pursue "vaccine nationalism," we argue such a framework still has broad relevance. Reasonable national partiality would permit countries to focus on vaccine distribution within their borders up until the rate of transmission is below 1, at which point there would not be sufficient vaccine-preventable harm to justify retaining a vaccine. When a government reaches the limit of national partiality, it should release vaccines for other countries. -/- We also argue against two other recent proposals. Distributing a vaccine proportional to a country's population mistakenly assumes that equality requires treating differently situated countries identically. Prioritizing countries according to the number of front-line health care workers, the proportion of the population over 65, and the number of people with comorbidities within each country may exacerbate disadvantage and end up giving the vaccine in large part to wealthy nations. (shrink)

Background: There is no doubt that strawberry diseases are one of the most important reasons that led to the destruction of strawberry plants and their crops. This leads to obvious 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 in avoiding damage to these plants. The expert system correctly diagnoses (...) strawberry disease to make it easier for farmers to find the right treatment based on the appropriate diagnosis. 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 which was produced to help Farmers and students interested in agriculture strawberry in diagnosing many of the strawberry diseases such as: Leaf Spots, Grey Mold, Red Stele/Red Core, Wilt, Powdery Mildew, Alternaria Spot, Black Root Rot, Anthracnose (black spot), and Angular Leaf Spot. The proposed expert system presents an overview about strawberry diseases are given, the cause of diseases are outlined and the treatment of disease whenever possible is given out. CLIPS language was used for designing and implementing the proposed expert system. Results: The proposed strawberry diseases diagnosis expert system was evaluated by Farmers and they were satisfied with its performance. Conclusions: The Proposed expert system is very useful for Farmers with strawberry problem and students interested in agriculture strawberry. (shrink)

Lawrence Kohlberg's Approach to Moral Education presents what the late Lawrence Kohlberg regarded as the definitive statement of his educational theory. Addressing the sociology and social psychology of schooling, the authors propose that school culture become the center of moral education and research. They discuss how schools can develop as just and cohesive communities by involving students in democracy, and they focus on the moral decisions teachers and students face as they democratically resolve problems. As the authors put it: "...we (...) propose an educational renewal of our democratic society.... We have attempted to establish schools that do more than just teach about democratic citizenship, that are themselves democratic societies.". (shrink)

Background: Mint is a grassy, perennial plant, belonging to the oral platoon, fast growing and spreading, its leaves are green in color, fragrant, tart, refreshing, square-shaped leg, bifurcated, erect, ranging in height from (10 - 201 cm). Home to Europe and Asia. The mint plant has many benefits, the most important of which are pain relief, treatment of gallbladder disorders, the expulsion of gases, anti-inflammatory, and relaxing nerves. While the mint plant is the ideal option for the start of gardens, (...) it is prone to some common diseases that affect the plant's growth. 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 Mint diseases such as Mint rust, Verticillium wilt, Anthracnose, Powdery mildew, Black Stem Rot, Stem and stolon canker, Septoria leaf spot. The proposed expert system presents an overview of mint 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 Mint diseases diagnosis expert system was evaluated by Agricultural Students at AL Azhar University 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)

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: The analytical, comparative cross-sectional study was conducted to assess the thyroid profiles and modified lipid profiles levels among Sudanese patients with coronary heart disease performed on forty-one patients with coronary heart disease as test group collected from Sudan Heart Center, Al rebat teaching hospital and Al mawada hospital in Khartoum state, during the period between November 2017 and May 2018. Furthermore, the test group compared with forty-one apparently healthy volunteers as control group was selected with the same inclusion criteria. (...) Spectrophotometeric methods were used for measurement of lipid profile. Thyroid hormones (T3 &T4) and thyroid stimulating hormone were measured by using Sandwich Enzyme-Linked Immunosorbent Assay (ELISA). Moreover, statistical package for social science (SPSS version 23) computer software was used for data analysis. The study clearly demonstrated that there was statistically significant decrease in T3, and significant increase in T4 levels in test group compared to control with (P. value 0.047) for T3, and (P. value 0.002) for T4.Nonetheless, the result of this study indicated a significant elevation in mean of total cholesterol, low density lipoprotein-cholesterol levels and significant decrease in high density lipoprotein –cholesterol in test group compared to control (P.value 0.000). In conclusion Coronary heart diseases patients have significantly low Triiodothyronine, elevated Thyroxin, and normal Thyroid Stimulating Hormone levels, with significantly higher Total Cholesterol, Low Density Lipoprotein-Cholesterol concentrations, and lower HighDensity Lipoprotein-Cholesterol concentrations. (shrink)

All parties involved in researching, developing, manufacturing, and distributing COVID-19 vaccines need guidance on their ethical obligations. We focus on pharmaceutical companies' obligations because their capacities to research, develop, manufacture, and distribute vaccines make them uniquely placed for stemming the pandemic. We argue that an ethical approach to COVID-19 vaccine production and distribution should satisfy four uncontroversial principles: optimising vaccine production, including development, testing, and manufacturing; fair distribution; sustainability; and accountability. All parties' obligations should be coordinated and mutually consistent. For (...) instance, companies should not be obligated to provide host countries with additional booster shots at the expense of fulfilling bilateral contracts with countries in which there are surges. Finally, any satisfactory approach should include mechanisms for assurance that all parties are honouring their obligations. This assurance enables countries, pharmaceutical companies, global organisations, and others to verify compliance with the chosen approach and protect ethically compliant stakeholders from being unfairly exploited by unethical behaviour of others. (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.

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)

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)

In this paper, we introduce and investigate a new class of sets and functions between topological space called neutrosophic semi-supra open set and neutrosophic semi-supra open continuous functions respectively.

Influential interpretations of Heidegger’s Origin of the Work of Art focus on the view that great art is massive and communal—typically structures like temples and cathedrals. This approach, however, faces two interpretive problems. First, what are we to do with artworks in the essay that clearly are not monumental or communal, such as van Gogh’s Shoes? Second, how should we understand our experience of works such as the Greek temple, which once were but are no longer central in this way? (...) Heidegger himself says that great art of the past becomes either a relic of the past or a mere object of aesthetic experience, but his description of his own experience with a Greek temple seems to contradict this. To understand Heidegger’s views on art—including his explicit claims about the limited vitality of great art of the past and his unintentional case for the continued power of great art of the past—it is crucial to distinguish, first, between Heidegger’s notions of world and worldhood, and, second, between two senses of what makes art great—world disclosure and world gathering. Doing so allows us to make better sense both of the essay as a whole and the potential continued vitality of great art of the past. (shrink)

I agree that Wollheim is wrong in his reconstruction of Bradley's arguments on Subject-Predicate judgements, but not completely. Wollheim is right about the conclusion of Bradley's arguments. I argue that Bradley does not reject subject-predicate form of judgements rather he attack's the idea that there is some judgement in which the subject is the nude reality.

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)

A newborn baby is an infant within the first 28 days of birth. Diagnosis and treatment of infant diseases require specialized medical resources and expert knowledge. However, there is a shortage of such professionals globally, particularly in low-income countries. To address this challenge, a knowledge-based system was designed to aid in the diagnosis and treatment of neonatal diseases. The system utilizes both machine learning and health expert knowledge, and a hybrid data mining process model was used to extract knowledge from (...) a clinical dataset. The PART algorithm achieved the highest performance result with 98.06% accuracy under 10-fold cross-validation, and the generated rules were used to develop the knowledge-based system. The system achieved 90.9% accuracy in system performance testing and 89.2% in user acceptance testing, and is intended to serve as an assistant tool for healthcare experts. (shrink)

The JTB definition of knowledge has been shown by Gettier to be incomplete: its three conditions are necessary for knowledge, but not sufficient. We argue that the JTB definition can be completed with a very simple fourth condition, namely that the justification for the belief in p must be sufficient to exclude ¬p. It is shown that the resulting JTB+S definition solves the Gettier problem.

In a recent paper, María Pía Méndez (2022) offers an epistemic critique of epistocracy according to which the sort of politically well-informed but homogenous groups of citizens that would be empowered under epistocracy would lack reliable access to information about the preferences of less informed citizens. Specifically, they would lack access to such citizens’ preferences regarding the form that policies ought to take—that is, how these policies ought to be implemented. Arguing that this so-called Information Gap Problem militates against epistocracy, (...) Méndez instead recommends that we respond to problems created by widespread voter ignorance by improving the flow of information between political actors by adopting some participatory democratic institutions. In this paper I argue that the severity of the Information Gap Problem for epistocracy is overstated. After first sketching some background (Section 1), I argue that it is hard to see why information about citizens’ preferences for the form that policies ought to take is important enough that the expected costs of epistocracy outweigh its expected benefits if it selectively empowers people who lack access to such information (Section 2). Moreover, different forms of epistocracy are less threatened by the Information Gap Problem, assuming it is indeed a problem. For some forms of epistocracy, it may be no problem whatsoever. However, I conclude by suggesting that Méndez touches upon some more serious problems for epistocracy (Section 3). First, even setting aside the Information Gap Problem, there are open questions about the possible epistemic inferiority of epistocracy relative to democracy. Second, more comprehensive accounts of political competence that move beyond the possession of sufficient levels of political information are much harder to reliably test for, thus complicating the task of devising effective epistocratic selection mechanisms. Lastly, epistocracy arguably creates a serious risk of abuse that may outweigh any other benefits it brings. More research is needed to determine how (and whether) epistocrats can respond to such challenges. (shrink)

The tragic death in Tolstoy's writings has helped both Max Weber and György Lukács in characterizing the modern pathos as a tragic contemplation of the emptiness of life. Through Tolstoy's readings, Weber and Lukács found an interesting source of denying arts and modern sciences autonomy, considering, from the aesthetics sphere, the meaningless of this new immanent reality. Both has assumed Tolstoy main theme from the same perspective, contrasting ancient and modern worldviews. Max Weber presented this theme in his disenchantment of (...) world theory and Lukács, in a very similar way, following the paradox of religious needing as a mainline. -/- O tema da morte trágica, presente nos escritos de Liev Tolstói, auxiliou tanto a Max Weber como a György Lukács a caracterizarem o pathos moderno de pressentimento da morte como uma contemplação do vazio. Weber e Lukács encontraram, através das leituras de Tolstói, uma interessante maneira de questionar a autonomia da arte e da ciência moderna, considerando pela esfera estética, como se mostra sem sentido a recente realidade imanente. Ambos assumiram o tema central das obras de Tolstói segundo uma mesma imagem, derivada do contraste entre o mundo antigo e o moderno. Max Weber adequou esse tema a sua teoria do desencantamento do mundo e Lukács, de modo muito semelhante, seguindo seu conceito do paradoxo da necessidade religiosa. (shrink)