The ongoing pandemic caused by COVID-19 virus has paralyzed everyday life across the globe. To limit spread of infection, the Government of various countries issued a Nation-wide lockdown. With increase in COVID cases, more and more biomedical wastes were also produced. With a halt in manufacturing industries and automobiles plying, air pollution levels drops drastically and rare animal sightings were recorded by the media. Water Pollution levels were also recorded to be on the down trend. When schools are closed, children (...) and youths miss out on social contact that is essential to learning and development. Schooling provides essential learning and when schools close, children and youth are deprived of opportunities for growth and development. Due to sudden shift to online learning without any planning especially in countries like India, students seem to be losing interest due to low levels of attention span. New ways of delivery and assessments of learning outcomes will have to be adopted which opens immense opportunities for a major transformation in the area of curriculum development and pedagogy. (shrink)

Information communications and Technology were introduced into secondary schools with the goal of giving teachers access to information while encouraging their distinctive and innovative techniques for teaching and learning. Teachers become enthusiastic and committed to their work when given demanding tasks that result in positive educational outcomes. However, it is clear that instructors in Kenya continue to fall behind in this area. Without a grasp of leadership behaviors, ICT integration in Kenya remains a phantom. The study aims to evaluate the (...) principal's intellectual stimulation techniques and the empowering use of ICT in teaching and learning in Kenyan public secondary schools. The study used a sequential explanatory mixed method design and focused on 62 school principals chosen through census, 186 teachers, and 372 students selected using a simple random sample process. Data was collected using MLQ-structured questionnaire interviews, document analysis, and checklists. Descriptive analysis was used to explain the patterns in the data and the status of variables, while inferential analysis was used to evaluate the relationship between the variables using regression analysis. The study found a moderately substantial positive correlation between ICT use in school and intellectual stimulation r (108) = 0.534, p < 0.001). It was discovered that principals' actions were a significant predictor of ICT adoption in secondary schools; therefore, principals were recommended to foster a culture of trust among teachers by establishing a welcoming workplace atmosphere. This would encourage instructors to overcome challenges using creative and new approaches, ultimately boosting the usage of ICT in the classroom. (shrink)

Abstract: Background: Coronary artery disease remains the leading cause of morbidity and mortality Worldwide. Previous reviews pointed that nursing interventions are beneficial for coronary artery patients. However, most interventions focused on education and counselling, but not consistent with the outcome set; still did not consider patient’s coronary artery disease risky characteristics. Related studies in China also difficult to find. Therefore this study was conducted to investigate kinds of nursing interventions delivered to coronary artery patients and match them with patient’s risk (...) factors of coronary artery disease. Results of this study were expected to add new knowledge that will alert nurses to consider coronary artery risk factors which in turn might enable the development of appropriate approaches to improve patient’s wellbeing hence reduce frequent coronary artery morbidity and mortality. Methods: A descriptive, cross-sectional, retrospective design using clinical case notes was employed. Study was undertaken in coronary care wards at the teaching hospital in China from November 2017 to September 2018. Structured-literature supported self-designed questionnaire was utilized for data collection. Chi square (χ2) test and multivariate logistic regression for adjusted odds ratio with 95% confidence interval were used to compare the relationship among independent (patient’s risk coronary artery disease factors) and dependent (nursing interventions) categorical variables. Ethical permission was granted accordingly. Results: A total of 300 coronary artery patients’ case notes were audited with mean age 63±11.2 years. Of these 175 (58.3%) were males. 126(42%) were smoking and 224(74.7%) were hypertensive. More evidence based nursing interventions than education and counselling were found to be delivered to these patients. “Administer coronary artery disease medication and their instructions” was mostly delivered to many patients 291(97%) while “counsel to cope with stress” was the least one 60 (20.0%). Three of eight nursing interventions delivered significantly matched with three or all of these patient’s coronary artery risk variables (age, smoking, hypertension and diabetes) (p < 0.05 and/or < 0.01) with Adjusted odds ratio (95% CI) within their significant ranges. Conclusion: This study delivers valuable insight that, nurses in the studied teaching hospital delivered beneficial evidence based nursing interventions to patients with coronary artery disease which significantly matched with their risk factors of coronary artery illness. However, care for stress was low hence needs improvement. Furthermore, research is needed to get consistency of nursing interventions with patient’s end point clinical outcomes for further appraisal of nursing efforts in caring CAD patients . (shrink)

In these days, there is an increasing technological development in intelligent tutoring systems. This field has become interesting to many researchers. In this paper, we present an intelligent tutoring system for teaching mathematics that help students understand the basics of math and that helps a lot of students of all ages to understand the topic because it's important for students of adding and subtracting. Through which the student will be able to study the course and solve related problems. An evaluation (...) of the intelligent tutoring systems was carried out and the results were encouraging. (shrink)

The truth of every human being is the end his life with death, and this leads to leaving assets and funds for those after him and can lead to hate between the heirs, it has made a point of Islamic law on all aspects of life, including the subject of the inheritance of the deceased. The main problem is how to get the knowledge of the basics of inheritance. This paper reviews work done in the use of expert system software (...) to calculate inheritance in Islam. A proposed expert system was designed and developed using CLIPS language to calculate the inheritance in Islam. (shrink)

An Intelligent Tutoring System (ITS) is a computer system that offers an instant, adapted instruction and customized feedback to students without human teacher interference. Reciting "Tajweed" the Holy Quran in the appropriate way is very important for all Muslims and is obligatory in Islamic devotions such as prayers. In this paper, the researchers introduce an intelligent tutoring system for teaching Reciting "Tajweed". Our "Tajweed" tutoring system is limited to "Tafkhim and Tarqiq in TAJWEED" the Holy Quran, Rewaya: Hafs from ‘Aasem. (...) The system was evaluated by reciting teachers and students, and the results were auspicious. (shrink)

Abstract: Purpose - This study aimed to analyze the relationship between the determinants of organizational justice and their relationship to conscientious behavior from the point of view of officers working in the Palestinian police in Gaza Strip. Methodology - The study relied on the descriptive and analytical approach, using the questionnaire, targeting a stratified random sample of (400) officers, who hold the rank of captain and above, from the study population of 1550 officers. The study tool was distributed among the (...) sample members in all departments and governorates. Police in Gaza Strip. (353) questionnaires were retrieved, with a recovery rate of (88.3%). Findings - The existence of a positive correlation between the determinants of organizational justice and the behavior of conscience, and the existence of organizational justice in general in a medium degree and the order of its determinants is as follows: fairness of dealings and to a large degree, followed by fairness of procedures and a medium degree, and finally distribution fairness was to a small degree, while the behavior of conscience awareness came to a large extent. Significance - The existence of statistically significant differences between the respondents' averages of responding to the searched relationship due to the variables (type of administration, age group, job title, military rank, years of service). Recommendations - Work to take into account the fairness of distribution by providing adequate and fair salaries, granting bonuses for the additional efforts exerted, and budgeting in the distribution of duties and job burdens, as well as recommending attention to the interests of employees when making decisions and involving them in formulating them, explaining their justifications, and creating an organizational climate dominated by a sense of justice. (shrink)

Abstract: This study aimed to identify the behavior of organizational citizenship in Palestinian Police Force between reality and expectations, and this study comes to study the reality of human resources and their organizational behavior in the police apparatus, which is the largest security services operating in Gaza Strip, so it is expected that this study will contribute to improving this This aspect will be reflected positively on serving the country and the citizen and achieving security and safety for them. The (...) study relied on the descriptive and analytical approach, using the questionnaire, and targeting a stratified random sample of (400) officers, who hold the rank of captain and above, from the study population of 1550 officers, and the study tool was distributed to the sample members in all departments and governorates Police in Gaza Strip. (353) questionnaires were retrieved, with a recovery rate of (88.3%), and they were analyzed using (SPSS) software. The study found that the organizational citizenship behavior was largely due to all its components. The study also showed that there are statistically significant differences between the respondents ’average response towards the organizational citizenship behavior due to the variables (type of administration, age group, job title, military rank, and years of service). The study recommended taking into account the interests of employees when making decisions and involving them in formulating them, explaining their justifications, and finally, the study recommended that organizational citizenship behavior be considered an organizational value that the police seek, and to create an organizational climate in which a sense of justice prevails, given its prominent role in stability, calm and discipline at work Thus, the elevation of the police institution and the achievement of its desired goals. (shrink)

Undeniably, the greatest way for a Moslem to be closer to Allah, is recitation of Holy-Quran approves with the method conveyed from Messenger of Allah Mohammed from the feature of speech points of letters and the intrinsic and fleeting characteristics of the letters, So, there is a persistent need to teach all Moslems the science of Tajweed Al-Quran. ITS (Intelligent Tutoring System) is computer software that supplies direct and tailored training or response to students without human teacher interfering. The main (...) target of ITS is smoothing the learning process using the wide-ranging facilities of computer. The proposed system will be implemented using the ITSB Authoring tool. In this thesis, the researcher presents an intelligent tutoring system for teaching Reciting Al-Quran "Tajweed" with Rewaya: Hafs from ‘Aasem by the way of Shatebiyyah. It was a novel idea that the researcher combined the science of Tajweed Al-Quran and the science of artificial intelligence in his thesis. The researcher arranged the material into chapters, lessons, examples then, added all these to the proposed system. He also added questions, right answers and the level of difficulty for each lesson. He prepared an exam for each chapter and a final exam to test the knowledge of the learner in the whole material. The system was evaluated by teachers and students in reciting science and the outcome of the assessment was encouraging and promising. (shrink)

This study asserts that W.V.O. Quine’s eliminative philosophical gaze into mereological composition affects inevitably his interpretations of composition theories of ontology. To investigate Quine’s property monism from the account of modal eliminativism, I applied to his solution for the paradoxes of de re modalities’ . Because of its vital role to figure out how dispositions are encountered by Quine, it was significantly noted that the realm of de re modalities doesn’t include contingent and impossible inferences about things. Therefore, for him, (...) all the intrinsic forces and elements of entities such as powers and causal or teleological dispositions for ontology demand to be seen necessarily as bound variables from a monist perspective. Although his denial of analyticity and the elimination of dispositional field of ontology, S. Mumford criticizes the monist perspective of Quine’s paradoxical approach to superveniences. Because superveniences create problems while determining type-type identities from a monist mereological perspective. It is observed that Quine faces with a reduction again in terms of his dispositional monism despite his critiques to repulse vagueness from the ontology in his well-known article Two Dogmas of Empiricism. -/- . (shrink)

In Escape from Leviathan, Jan Lester sets out a conception of liberty as absence of imposed cost which, he says, advances no moral claim and does not premise an assignm..

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

Hegel's influence on post-Hegelian philosophy is as profound as it is ambiguous. Modern philosophy is philosophy after Hegel. Taking leave of Hegel's system appears to be a common feature of modern and post-modern thought. One could even argue that giving up Hegel's claim of totality defines philosophy after Hegel. Modern and post-modern philosophies are philosophies of finitude: Hegel's philosophy cannot be repeated. However, its status as a negative backdrop for modern and post-modern thought already shows its pervasive influence. Precisely in (...) its criticism of Hegel, modern thought is bound up with his thinking. (shrink)

In Chapter 2 of Escape from Leviathan, Jan Lester defends two hypotheses: that instrumental rationality requires agents to maximise the satisfaction of their wants and that all agents actually meet this requirement. In addition, he argues that all agents are self-interested (though not necessarily egoistic) and he offers an account of categorical moral desires which entails that no agent ever does what he genuinely feels to be morally wrong. I show that Lester’s two hypotheses are false because they cannot accommodate (...) weakness of will, because they are inconsistent with agency, which requires free will, because ends, obligations and values cannot be reduced to desires, and because maximisation is often not possible. Further, Lester’s claim that agents are self-interested is vacuous, his attempted reduction of moral behaviour to want-satisfaction fails, and his contention, that agents always do what they genuinely think to be morally required, seems untenable. A defence of freedom that depends on homo economicus is far from promising. (shrink)

There is never a shortage of celebratory and condemnatory popular discourse on digital media even in its early days. This, of course, is also true of the advent of Web 2.0. In this article, I shall argue that normative analyses of digital media should not take lightly the popular discourse, as it can deepen our understanding of the normative and axiological foundation(s) of our judgements towards digital media. Looking at some of the most representative examples available, I examine the latest (...) wave of popular discourse on digital media, focusing on the (new) worries and doubts voiced by the alarmists and the (new) hopes and dreams portrayed by the enthusiasts. I shall illustrate that various stances in the popular discourse on Web 2.0 are ultimately rested on different notions of the self. This conclusion entails an important lesson for our practice of critiques of digital media, as it entails that our critiques of digital media cannot be done without referring to a notion of the self. Hence, a normative enquiry of digital media should not only be about the moral and/or prudential goodness or badness per se; it should be about who we should be online, or which notion(s) of the self we should strive for. (shrink)

Sign Language Recognition (SLR) aims to translate sign language into text or speech in order to improve communication between deaf-mute people and the general public. This task has a large social impact, but it is still difficult due to the complexity and wide range of hand actions. We present a novel 3D convolutional neural network (CNN) that extracts discriminative spatial-temporal features from photo datasets. This article is about classification of sign languages are not universal and are usually not mutually intelligible (...) although there are also similarities among different sign languages. They are the foundation of local Deaf cultures and have evolved into effective means of communication. Although signing is primarily used by the deaf and hard of hearing, hearing people also use it when they are unable to speak, when they have difficulty speaking due to a health condition or disability (augmentative and alternative communication), or when they have deaf family members, such as children of deaf adults. In this article we use the 43500 image in the dataset in size 64*64 pixel by use CNN Architecture and achieved 100% accuracy. (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)

International observers and critics often attack China's Internet policy on the basis of liberal values. If China's Internet is designed and built on Confucian values that are distinct from, and sometimes incompatible to, liberal values, then the liberalist critique ought to be reconsidered. In this respect, Mary Bockover's “Confucian Values and the Internet: A Potential Conflict” appears to be the most direct attempt to address this issue. Yet, in light of developments since its publication in 2003, it is time to (...) re-examine this issue. In this paper, I revisit Bockover’s argument and show why it fails. Using social media as an example, I offer an alternative argument to show why the Internet remains largely incompatible with Confucian values. I end this paper by suggesting how to recontextualise the Confucian way of life and to redesign social media in accordance to Confucian values in the information society. (shrink)

In Public Reason Confucianism, Kim Sungmoon presents a perfectionist theory that is based on a partially comprehensive Confucian doctrine but is non-sectarian, since the doctrine is widely shared in East Asian societies. Despite its attractiveness, I argue that this project, unfortunately, fails because it is still vulnerable to the sectarian critique. The blurred distinction between partially and fully comprehensive doctrines will create a loophole problem. Sectarian laws and policies may gain legitimacy that they do not deserve. I further defend political (...) Confucianism, which is regarded by Kim as an inadequately intelligible form of Confucianism. Kim assumes a too narrow understanding of intelligibility. Although political Confucianism may not be politically intelligible, it is civically intelligible, i.e. it is culturally intelligibly different from other political theories in terms of its implications in citizens’ actions in civil society. In light of civic intelligibility, the distinctiveness of political Confucianism should not be underestimated. (shrink)

In response to the Royal Society report’s claim that “the acceptability of geo­engineering will be determined as much by social, legal, and political issues as by scientific and technical factors” (Geoengineering the Climate: Science, Governance and Uncertainty [London: Royal Society, 2009], ix), a number of authors have suggested the key to this challenge is to engage the public in geoengineering decision-making. In effect, some have argued that inclusion of the public in geoengineering decision-making is necessary for any geoengineering project to (...) be morally permissible. Yet, while public engagement on geoengineering comes in various forms, the discussion in geoengineering governance and the ethics of geoengineering have too often conceptualized it exclusively in terms of public participation in decision-making, and supported it by various liberal democratic values. However, if the predominant understanding of public engagement on—or, the role of the public in—geoengineering decision-making is indeed only grounded on liberal democratic values, then its normative relevance could be challenged by and in other ethical-political traditions that do not share those values. In this paper, I shall explore these questions from a Confucian perspective. I argue that the liberal democratic values invoked in support of the normative importance of public participation are, at least, foreign to Confucian political philosophy. This presents a prima facie challenge to view public participation in geoengineering decision-making as a universal moral requirement, and invites us to reconsider the normative significance of this form of public engagement in Confucian societies. Yet, I contend that the role of the public remains normatively significant in geoengineering governance and the ethics of geoengineering from a Confucian perspective. Drawing from recent work on Confucian political philosophy, I illustrate the potential normative foundation for public engagement on geoengineering decision-making. (shrink)

Machine learning algorithms may radically improve our ability to diagnose and treat disease. For moral, legal, and scientific reasons, it is essential that doctors and patients be able to understand and explain the predictions of these models. Scalable, customisable, and ethical solutions can be achieved by working together with relevant stakeholders, including patients, data scientists, and policy makers.

Abstract: This study aimed to analyze the relationship between the determinants of organizational justice and altruistic behavior from the point of view of the police officers in Gaza Strip. The study relied on the descriptive and analytical approach, using the questionnaire, and targeting a stratified random sample of (400) officers, who hold the rank of captain and above, from the study population of 1550 officers, and the study tool was distributed to the sample members in all departments and governorates Police (...) in Gaza Strip. (353) questionnaires were retrieved, with a recovery rate of (88.3%). The study found the existence of a positive correlation between the determinants of organizational justice and altruistic behavior, and the study also found the existence of organizational justice in general in a moderate degree and the order of its determinants was as follows: fairness of dealings and to a large degree, followed by fairness of procedures and a medium degree, and finally, distribution fairness was to a small degree, as for altruistic behavior. It came to a large extent. There are statistically significant differences between the respondents ’average response to the researched relationship due to the variables (Type Of Administration, Age Group, Job Title, Military Rank, and Years of Service). Taking into account the fairness of distribution by providing appropriate and fair salaries, granting bonuses for the additional efforts exerted, and budgeting in the distribution of duties and job burdens, and paying attention to the interests of employees when making decisions and involving them in formulating them, explaining their justifications, and considering altruistic behavior as a value, and the creation of an organizational climate dominated by a sense of justice, because of its prominent role in stability, calm and discipline at work, and thus the elevation of the police institution and the achievement of its desired goals. (shrink)

Deleuze’ün Spinozacı yaşam tahayyülünde ‘ne yapmalıyız?’ sorusuna normatif, ahlaki ya da siyasi bir yanıt bulamıyoruz ama varoluşu düşünmenin içkin bir olanağını keşfediyoruz. Düşünmeye 'dışarıdan' yani dünyadan başlamak insani (kurgusal) bir dünyaya değil, içinde yaşadığımız gerçek dünyaya inanmak demektir. İçkinliğin politik anlamı düşünceyi dünyaya getirmektir.

Die analytische Philosophie ist nicht dafür bekannt, dass ihre Vertreter*innen sich in ihrer Rolle als Philosoph*innen an radikaler Politik beteiligen . Progressive Politik links des Liberalismus bezieht ihr philosophisches Verständnis hauptsächlich aus der marxistischen und post-strukturalistischen Tradition. Nach einem kurzen Überblick über die Geschichte der analytischen Philosophie, zeige ich, warum sie bisher keine Grundlage für radikale Politik liefern konnte. Alternativ schlage ich eine Form des liberalen Naturalismus als Basis für einen kritischen, interdisziplinären Materialismus vor. Analytic philosophers are not known for (...) taking part in radical politics. Radical left-wing politics takes its philosophical inspiration mainly from Marxist and post-structuralist traditions. After giving a short overview of Analytic philosophy’s history, I will show why this approach could not deliver a foundation for radical politics. Alternatively, I outline a form of liberal naturalism, which could serve as a basis for a critical, interdisciplinary materialism. (shrink)

Heart palpitations, while often benign, can sometimes be indicative of severe underlying conditions requiring immediate intervention. Accurate and swift diagnosis thus remains a clinical priority. "A CLIPS-Based Expert System for Heart Palpitations Diagnosis" represents a novel approach to addressing this challenge, harnessing the power of artificial intelligence and rule-based expert systems. Specifically, this system applies a suite of 7 if-then rules to evaluate potential heart palpitations causes and assign one of three outcomes: 1) A confirmed diagnosis of heart palpitations, 2) (...) A suspected link to cardiovascular diseases, and 3) A possible association with anxiety or stress disorders. The expert system offers an intuitive user interface, allowing for seamless symptom input and instant diagnosis based on user-provided information. This paper explores the various phases of this expert system's lifecycle, including design, implementation, and evaluation. Furthermore, the study situates the system within the broader discourse on rule-based expert systems for heart palpitations diagnosis, critically analyzing their efficiency, potential pitfalls, and ongoing challenges. Through this research, the value of integrating rule-based expert systems in clinical diagnostic processes is highlighted, illustrating its capacity to enhance diagnostic accuracy and patient outcomes. (shrink)

Malaria is a life-threatening disease spread to humans by some types of mosquitoes. It is mostly found in tropical countries. It is preventable and curable. The infection is caused by a parasite and does not spread from person to person. Symptoms can be mild or life-threatening. Mild symptoms are fever, chills and headache. Severe symptoms include fatigue, confusion, seizures, and difficulty breathing. Infants, children under 5 years, pregnant women, travelers and people with HIV or AIDS are at higher risk of (...) severe infection. Discovering this disease is 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 spreading this disease. The expert system diagnoses malaria disease correctly to facilitate doctors to find the correct treatment based on the appropriate diagnosis. Objectives: An expert system has been established based on CLIPS to diagnose malaria disease. (shrink)

Introduction. The development of online marketing in social networks creates unique opportunities for personal selling. Especially these opportunities are manifested in online education when they buy a brand of an expert with experience in a particular field. That is why a competitive space is being formed in the Instagram social network, where a personal brand acts as a product or service. -/- Materials and methods. Studying the effectiveness of promoting a personal brand in social networks based on the Instagram platform (...) was chosen to have great visual opportunities for self-presentation. As part of the collection of empirical material, two methods were used: a survey (N-200) and content analysis of three blogger accounts with high rates of activity and popularity. -/- Results and discussion. Content analysis of bloggers showed that an algorithmic feed on a social network allows bloggers to control the content. To help them, Instagram provides statistical data on user reach, thereby capturing trends in the movement of the blogger’s audience. The main task of a blogger is to combine real and “virtual” images so as not to lose consumer confidence. A survey of social network users confirmed the importance of a personal brand for them. The survey also made it possible to identify the most popular audience requests that they expect from bloggers and their accounts: valuable reviews and recommendations, case studies and author’s solutions, storytelling, blogger’s reflections and motivating messages, live broadcasts, and stories are important. -/- Conclusions. The results obtained underline followers’ high level of interest in the bloggers’ personal brand on Instagram. The study results show that the most significant number of those involved (those who give feedback and are constantly involved in interaction with the account) is where the formation of a personal brand is built to a greater extent on the emotional level of perception of the individual. (shrink)

heart attack analysis & prediction dataset is a major cause of death worldwide. Early detection and intervention are essential for improving the chances of a positive outcome. This study presents a novel approach to predicting the likelihood of a person having heart failure using a neural network model. The dataset comprises 304 samples with 11 features, such as age, sex, chest pain type, Trtbps, cholesterol, fasting blood sugar, resting electrocardiogram results, maximum heart rate achieved, exercise-induced angina, oldpeak, ST_Slope, and HeartDisease. (...) A neural network model with four layers (1 input, 2 hidden, 1 output) was trained on the dataset and achieved an accuracy of 88% and an average error of 0078296. The most influential factors in heart failure prediction were found to be oldpeak, ST_Slope, sex, fastingBS, chestPainType, exerciseAngina, cholesterol, restingBP, maxHR, restingBP, and age. This study provides a valuable tool for early detection and intervention of heart failure, thereby contributing to the field of health and medicine. (shrink)

In this essay we provide (1) an argument for why ethics should be naturalized, (2) an analysis of why it is not yet naturalized, (3) a defense of ethical naturalism against two fallacies—Hume’s and Moore’s—that ethical naturalism allegedly commits, and (4) a proposal that normative ethics is best conceived as part of human ecology committed to pluralistic relativism. We explain why naturalizing ethics both entails relativism and also constrains it, and why nihilism about value is not an especially worrisome for (...) ethical naturalists. The substantive view we put forth constitutes the essence of Duke Naturalism. (shrink)

International trade enables countries to expand their markets, access more products, improve resource allocation, and boost economic growth by leveraging comparative advantage and specialization. The aim of this article is to analyze the primary factors that influence Malawi’s international trade flows. The study is relevant because it examines Malawi’s trade patterns with its main partners, which include surrounding nations and traditional trade allies. The novelty is that, through the analysis, the research offers valuable insights into the primary factors that influence (...) Malawi’s international commerce. Panel data is gathered from various sources, including the International Monetary Fund (IMF) and World Bank, covering the period from 2000 to 2023 for 11 countries that are trading partners with Malawi. We employ the Bayesian Mindsponge gravity methodology. The results show that the economic size (characterized by the gross domestic product) of the origin and destination countries, bilateral agreements, and the population size of the destination country have a beneficial impact on Malawi’s exports. In conclusion, Malawi’s export performance is significantly enhanced by the economic size of both Malawi and its trading partners, the existence of bilateral agreements, and the population size of the destination countries, underscoring the importance of strategic economic partnerships and targeted trade policies in boosting Malawi’s international trade. We recommend Malawi authorities focus on strengthening bilateral agreements and targeting trade relationships with larger and more populous economies to boost international trade. (shrink)

PurposeThe purpose of this paper is to introduce an interpretive approach to examining the relation between information and communication technologies (ICTs) and the good life, based on Michael Walzer's view of (connected) social criticism.Design/methodology/approachThrough a discussion of Michael Walzer's view of social criticism, an interpretive approach to normative analysis of ICTs and the good life is introduced. The paper also offers an additional argument for the indispensability of prudential appraisals of ICTs in normative analysis of ICTs and the good life, (...) which in turn strengthens the basis for the Walzerian approach proposed in the paper.FindingsIt is argued that an interpretive approach to normative analysis of ICTs and the good life, i.e. the Walzerian approach, is as viable as – if not superior to – a theory‐driven approach. It is also argued that actual appraisals of ICTs and the good life must be taken into account in the normative analysis.Originality/valueIt is only recently that “the good life” has become more visible in normative analysis of ICTs. This paper continues this relatively new line of research and proposes an alternative approach – as opposed to a theory‐driven approach – to this research programme. (shrink)

We approach the notion of general (global) human intelligence as a prominently multifaceted concept which can be tested in at least seventy specific scenarios. We say that an agent has Artificial Global Intelligence (AGLI), if it is able to perform in an intelligent manner for at least the collection of tasks defining the former scenarios. In particular, based on Gartner's multiple intelligences theory, we describe the design of a concrete test for AGLI made in such a way that an ‘average’ (...) young human being should, per diffinitionem, pass it. We compare our holistic test with several highly representative human and artificial intelligence tests for deducing that our AGLI test is the one with the broader scope of the whole range of intelligence. However, we claim as a plausible hypothesis and based on the wide thematic spectrum of the test that the most outstanding inventions of AI currently available are far from getting a high score on it. Finally, we open a discussion about the fact that, although there are artificial agents being able to simulate intelligent behaviour at a perfect level for several local tasks, this seems not to be the case for AGLI. This would imply, in particular, a kind of practical implausibility of the notion of intelligence explosion coming from philosophy of AI. (shrink)

Metaphors for describing the introduction, impacts, and management of non-native species are numerous and often quite outspoken. Policy-makers have adopted increasingly disputed metaphorical terms from scientific discourse. We performed a critical analysis of the use of strong metaphors in reporting scientific findings to policy-makers. Our analysis shows that perceptions of harm, invasiveness or nativeness are dynamic and inevitably display multiple narratives in science, policy or management. Improving our awareness of multiple expert and stakeholder narratives that exist in the context of (...) non-native species management, as well as metaphorical alternatives, is critical. (shrink)

Researchers and practitioners are increasingly using machine‐generated synthetic data as a tool for advancing health science and practice, by expanding access to health data while—potentially—mitigating privacy and related ethical concerns around data sharing. While using synthetic data in this way holds promise, we argue that it also raises significant ethical, legal, and policy concerns, including persistent privacy and security problems, accuracy and reliability issues, worries about fairness and bias, and new regulatory challenges. The virtue of synthetic data is often understood (...) to be its detachment from the data subjects whose measurement data is used to generate it. However, we argue that addressing the ethical issues synthetic data raises might require bringing data subjects back into the picture, finding ways that researchers and data subjects can be more meaningfully engaged in the construction and evaluation of datasets and in the creation of institutional safeguards that promote responsible use. (shrink)

We argue for the possibility of validating the presence of consciousness in another person from a perspective that blends both, a third-person approach of coming close to, observing, and understanding the other; and a first-person assessment of how the experience of the other feels like. For this, we will need to explain how the line between the third-person and first-person approaches is blurred in some methodological approaches. We rest our position largely on the back of some seminal conclusions of the (...) meditations of Ren\'e Descartes and other theories concerning consciousness like Chalmers' naturalistic dualism and, to some secondary extent on Integrated Information Theory (IIT). Additionally, we describe fundamental contextual principles already developed in the literature and the arts (like Stanivlaski's Acting System), and then we use them for setting a suitable methodology that we feel can be used to validate the presence of others' conscious experiences in one's consciousness (at suitable periods of spacetime). Finally, we give general methodological guidelines for the construction of the concrete experiment and we explore very briefly the potential implications of this kind of research in other academic and non-academic settings. (shrink)

The Salivaomics Knowledge Base (SKB) is designed to serve as a computational infrastructure that can permit global exploration and utilization of data and information relevant to salivaomics. SKB is created by aligning (1) the saliva biomarker discovery and validation resources at UCLA with (2) the ontology resources developed by the OBO (Open Biomedical Ontologies) Foundry, including a new Saliva Ontology (SALO). We define the Saliva Ontology (SALO; http://www.skb.ucla.edu/SALO/) as a consensus-based controlled vocabulary of terms and relations dedicated to the salivaomics (...) domain and to saliva-related diagnostics following the principles of the OBO (Open Biomedical Ontologies) Foundry. The Saliva Ontology is an ongoing exploratory initiative. The ontology will be used to facilitate salivaomics data retrieval and integration across multiple fields of research together with data analysis and data mining. The ontology will be tested through its ability to serve the annotation ('tagging') of a representative corpus of salivaomics research literature that is to be incorporated into the SKB. Background Saliva (oral fluid) is an emerging biofluid for non-invasive diagnostics used in the detection of human diseases. The need to advance saliva research is strongly emphasized by the National Institute of Dental and Craniofacial Research (NIDCR), and is included in the NIDCR's 2004- 2009 expert panel long-term research agenda [1]. The ability to monitor health status, disease onset, progression, recurrence and treatment outcome through noninvasive means is highly important to advancing health care management. Saliva is a perfect medium to be explored for personalized individual medicine including diagnostics, offering a non-invasive, easy to obtain means for detecting and monitoring diseases. Saliva testing potentially allows the patient to collect their own saliva samples at home, yielding convenience for the patient and savings in health costs, and facilitating multiple sampling. Specimen collection is less objectionable to patients and easier in children and elderly individuals. Due to these advantages. (shrink)

The need for gender recognition is widespread, even when hypervisibility and other effects of trans antagonism make that need dangerous for trans people. This reason partially accounts for why, in trans critique, recognition is a dirty word. As a political aim, and to some extent as a moral norm, trans critiques encourage dropping recognition. On the other hand, social philosophers often view recognition as a solution to misrecognition and take recognition to be a remedy for injustice. In my view, recognition (...) should neither be dropped nor held as a foundational norm for trans emancipation. First, I present three ways trans recognition is ambivalent. Second, evaluating Axel Honneth’s observations about the entwinement of recognition and domination, I argue that recognition is an ambivalent norm for trans critique and struggle. Third, I propose studying trans recognitive practices (rather than recognition in abstract) and I illuminate what might set trans/t4t recognition acts apart from their cis-grounded analogues, centering the roles of the body and space/place as resources of trans/t4t recognitive practices, and how such practices focus on the subject’s change and becoming over their identification. (shrink)

There is a wide range of things we do out of emotion. For example, we smile with pleasure, our voices drop when we are sad, we recoil in shock or jump for joy, we apologize to others out of remorse. It is uncontroversial that some of these behaviors are actions. Clearly, apologizing is an action if anything is. Things seem less clear in the case of other emotional behaviors. Intuitively, the drop in a sad person’s voice is something that happens (...) to her, rather than something she actively performs. Perhaps more interestingly, even jumping for joy can seem a problematic case: although its execution involves the active performance of certain movements, it has been argued to contrast, e.g., with an act of apology, in that it is not performed in order to achieve some end, such as repairing a relationship. This can make this behavior seem considerably different from paradigm actions. Our central concern in this paper is with which emotional behaviors should be classed as actions and why... (shrink)

Abstract: Fish are important for both nutritional and economic reasons. They are a good source of protein, vitamins, and minerals and play a significant role in human diets, especially in coastal and island communities. In addition, fishing and fish farming are major industries that provide employment and income for millions of people worldwide. Moreover, fish play a critical role in marine ecosystems, serving as prey for larger predators and helping to maintain the balance of aquatic food chains. Overall, fish play (...) a vital role in supporting human well-being and the health of our planet. . Fishes have a lots of types such that: Red Mullet, Sea Bass, Striped Red Mullet and Shrimp. Each of them has its own shape and characteristics that differ from other types. We proposed a system that recognize nine types of fishes using deep learning. We trained the model with a dataset that contain 9000 images that were slit into 6300 images for training, 1350 for validation and 1350 for testing. The proposed model achieved accuracy (99.68%), precision (99.69%), recall (99.68%), and f1-score (99.68%). This indicates that our proposed model can effectively predicate and classify different types of fish with very high accuracy. (shrink)

Nearly a decade ago, Rafael Capurro has gradually shifted his attention towards the ideas of message and of messenger. In lieu of ‘information’, he proposes and develops a new direction of research he calls Angeletics that aims to examine the nature of message and messenger, both of which are inherently social. Coincidently, at about the same time, we witnessed the rise of social epistemology in Angelo-American analytic philosophy. This coincidence is interesting, because both Capurro’s Angeletics and social epistemology indicated a (...) departure from individualistic-orientedness in hermeneutics and traditional epistemology respectively. While social epistemology has earned its place and status in academia, especially in North America and Europe, Capurro’s Angeletics has yet to receive similar attention to which it deserves. Part of the reason for this, I think, is because of its formulation and terminology is relatively unfamiliar to those who do not share the same philosophical tradition. Hence, one remedy to this situation is to attempt to translate Angeletics in terms of social epistemology, and this – is the objective of the current paper. (shrink)

This article examines the evolution of the vocabulary “feudal (fengjian)” in early twentieth-century China. Despite having served as a symbol of local autonomy and countervailing against imperial authority as emphasized in the Confucian tradition, the term had descended into an object of scorn, oppression, and retrogression in the latter half of the twentieth century until today. An alternative interpretation toward the modern misuse of fengjian may be found by focusing and comparing the two seemingly unrelated and radically different portrayals of (...) fengjian by: political thinker Zhang Taiyan’s federalist ideology; and Marxist historian Guo Moruo’s manipulation of Chinese classics. Under the historical context surrounding the turmoil of 1920s China, this article argues that much more than a mistranslation, the redefinition of fengjian was an intentional slander to, through the ambiguity surrounding its definition, destroy the Chinese tradition of liberty and local autonomy, further justifying a unified, highly centralized Chinese nation-state. (shrink)

This paper aims to address the lack of critique of the linear model in geoengineering governance discourse, and to illustrate different considerations for a geoengineering governance framework that is not based on a linear model of technology innovation. Finally, we set to explore a particular approach to geoengineering governance based on Peter-Paul Verbeek’s notion of ‘technology accompaniment’.

American Sign Language, or ASL as its acronym is commonly known, is a fascinating language, and many people outside of the Deaf community have begun to recognize its value and purpose. It is a visual language consisting of coordinated hand gestures, body movements, and facial expressions. Sign language is not a universal language; it varies by country and is heavily influenced by the native language and culture. The American Sign Language alphabet and the British Sign Language alphabet are completely contrary. (...) Fingerspelling is one-handed in ASL and two-handed in BSL, with the exception of the letter C. AI technologies, particularly deep learning, can play an important role in breaking down communication barriers between deaf or hearing-impaired people and other communities, significantly contributing to their social inclusion. Recent advances in sensing technologies and AI algorithms have paved the way for the development of a wide range of applications aimed at meeting the needs of the deaf and hearing-impaired communities. To that end, the purpose of this paper is By attempting to translate sign language using artificial intelligence algorithms, we focused in this paper on a transfer learning technique based on deep learning using a ResNet algorithm and compared it to previous papers in which we used VGG19[1]and mobileNet [2], where we get in the ResNet algorithm on the degree of Accuracy 93,48% e number of images (43500 in the dataset in size 64*64 pixel ) and the data split training data into training dataset (70%) and validation dataset(15%) and testing dataset(15%) and 20 epoch. (shrink)

Looks into evaluation of information provision probability from different sources, based on use of linguistic variables. Formation of functions appurtenant for its unclear variables provides for adoption of decisions by the decision maker, in conditions of nonprobabilistic equivocation. The development of market relations in Ukraine increases the independence and responsibility of enterprises in justifying and making management decisions that ensure their effective, competitive activities. As a result of the analysis, it is determined that the condition of economic facilities can be (...) described and determined by the decision-maker, in the presence of the necessary information. The confidence of the decision-maker in the information received is different and the decisions made have a correspondingly different level of information risk. It is important to substantiate the procedure for assessing the numerical extent of information risk in decision-making based on the information obtained in conditions of uncertainty. The use of a linguistic variable in the processing of expert data presented in the form of a matrix of binary relations of values of the membership function, which allowed to move to further processing of knowledge to support decision-making in the management of industrial, commercial, financial and other activities. As a mathematical model for estimating the numerical measure of information risk when making decisions based on the information obtained in conditions of non-stochastic uncertainty, a model has been developed to model natural language uncertainties, which differs from existing ones by formalizing knowledge taking into account uncertainty of input information. Making such a clear decision in a fuzzy environment has appropriate values of effectiveness and risk. The paper proposes all the functions and accessories of indicators of both quantitative nature and qualitative nature to bring their values in the field of definition to one scale. Then the indicator of the effectiveness of decision-making will be a measure of the clarity of the cross-section of fuzzy subsets, which correspond to the introduced indicators of information risk. The condition of economic facilities can be described and determined by the decision-maker, if the necessary information is available. Decision-making on thenumerical measure of information risk must be determined by a set of basic indicators, which can be both quantitative and qualitative in nature. Predictive values of indicators should be determined in conditions of nonstochastic uncertainty. In this case, the indicators of a quantitative nature can be determined by fuzzy triangular numbers, which implement a high level of confidence in the subjective judgments of experts. Indicators of qualitative nature should be presented in linguistic variables. The values of the indicators of qualitative nature that are predicted must be considered for all fuzzy variable terms-sets of linguistic variables introduced into consideration. For any fuzzy variable, the introduction to the consideration of a clear set of values as carriers of the α-level of its membership function allows to reduce to a single interpretation of the predicted values of indicators of quantitative and qualitative nature in terms of non-stochastic uncertainty. (shrink)

This paper provides a retrospective and prospective overview of TU Delft’s approach to engineering ethics education. For over twenty years, the Ethics and Philosophy of Technology Section at TU Delft has been at the forefront of engineering ethics education, offering education to a wide range of engineering and design students. The approach developed at TU Delft is deeply informed by the research of the Section, which is centered around Responsible Research and Innovation, Design for Values, and Risk Ethics. These theoretical (...) approaches are premised on the notion that technologies are inherently value-laden, and as such contain the possibility of fostering or hindering moral values. Each of these approaches encourages students to take a proactive attitude with respect to their projects and profession, thinking creatively about – and taking responsibility for – how to both prevent harm and do good via the technologies they help develop. To explain how this is put into practice, this paper sketches a brief history of ethics teaching at TU Delft, outlines current activities, and presents future plans for Bachelor and Master’s level engineering ethics education at TU Delft. (shrink)

there is a communication gap between hearing-impaired people and those with normal hearing, sign language is the main means of communication in the hearing-impaired population. Continuous sign language recognition, which can close the communication gap, is a difficult task since the ordered annotations are weakly supervised and there is no frame-level label. To solve this issue, we compare the accuracy of each model using two deep learning models, Inception and Xception . To that end, the purpose of this paper is (...) By attempting to translate sign language using deep learning models, we focused in this paper a comparing between Inception and Xception ¬¬¬¬¬ algorithm and compared it to previous papers in which we used VGG19[1], mobileNet [2], where we get in the Inception and Xception algorithm on the degree of Accuracy 99.32%, 99,43% respectively. number of images (29000 in the dataset in size 75*75 pixel ) and the data split training data into training dataset (70%) and validation dataset(15%) and testing dataset(15%) and 20 epoch. (shrink)

This study aims to grasp the two distinct artworks one is from the literary field: Penal Colony, written by F. Kafka and the other one is from painting: The Large Glass, designed by M. Duchamp. This text tries to unravel the similarities betwe- en these artworks in terms of two main significations around “The Officer” from Penal Colony and “The Bachelors” from The Large Glass. Because of their vital role on the re-production of status-quo, this text asserts that there is (...) a similarity between them in the name of being part of the dispositions of body and desire. First of all, the text focuses on Penal Colony, especially on “The Officer” in or- der to observe his obsession towards the order that ruled by former and the late officer of colony. Deleuze & Guattari conceptualize it as “abstract-machines” and it refers to a contingent state of being which is produced as an obligatory entity. Besides, The Officers’ application via a “labeling machine” on inmates creates a framewok of a dispositif in Foucauldian terminology. Secondly, it is emphasized that The Bachelors from the Large Glass for his context, due to its reference for the concept of desire and a metaphorical connotation for desire as “cocoa”. The Large Glass is also turn around the dispositif in a different way: love. It is stated that criticizing the love to nowhere which belongs to The Bachelors and it can be found that there is an abstract-machine again in back of this practice and it converts The Bachelors’ energeia to make an apparatus possible and operative. (shrink)

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

Exclusionary defeat is Joseph Raz’s proposal for understanding the more complex, layered structure of practical reasoning. Exclusionary reasons are widely appealed to in legal theory and consistently arise in many other areas of philosophy. They have also been subject to a variety of challenges. I propose a new account of exclusionary reasons based on their justificatory role, rejecting Raz’s motivational account and especially contrasting exclusion with undercutting defeat. I explain the appeal and coherence of exclusionary reasons by appeal to commonsense (...) value pluralism and the intermediate space of public policies, social roles, and organizations. We often want our choices to have a certain character or instantiate a certain value and in order to do so, that choice can only be based on a restricted set of reasons. Exclusion explains how pro tanto practical reasons can be disqualified from counting towards a choice of a particular kind without being outweighed or undercut. (shrink)