Two Members of BBS awarded Erasmus Mundus Master of Bioethics -/- Shamima Parvin Lasker, Professor and Head, Department of Anatomy, City Dental College, Dhaka & General Secretary of BBS and Dr Abu Sadat Mohammad Nurunnabi, Lecturer of Anatomy, Dhaka Medical College, Dhaka & Life member of BBS awarded Master of Bioethics in 2012. Both they are the scholars of Erasmus Mundus Master of Bioethics. Degree was awarded by K.U.Leuven, Belgium, Radboud Universiteit Nijmegen, Netherlands and Università degli Studi (...) di Padova, Italy. -/- Prof Shamima’s research was on “Attitudes Toward Surrogacy Around Muslim World” under supervision of Dr Marcello Ghilardi, University of padova , Italy whereas Dr Nurunnabi worked on Prospects and Problems of Stem Cell Research in Bangladesh: Can Equity and Justice be Maintained in Context of Public Health Demand? under supervision of Professor Evert van leeuwen, Chair of the Section Ethics, IQ healthcare, Philosophy and History of Medicine, Radboud University, Nijmegen Medical Centre, Netherlands. -/- Thanks and congratulations for them and for their outstanding achievements on behalf of all the Members of the Bangladesh Bioethics Society. -/- . (shrink)

Abstract: In this paper an Artificial Neural Network (ANN) model, for predicting the Letters from twenty dissimilar fonts for each letter. The character images were, initially, based on twenty dissimilar fonts and each letter inside these twenty fonts was arbitrarily distorted to yield a file of 20,000 distinctive stimuli. Every stimulus was transformed into 16 simple numerical attributes (arithmetical moments and edge amounts) which were then ascended to be suitable into a range of numeral values from 0 to 15. We (...) naturally chose, arbitrarily, 1,000 distinctive stimuli for this research. We made certain that the scattering remnants the similar after selecting the one thousand stimuli. In this research, a neural network tool (Just NN) was used for the purpose of predicting to classify every of a huge number of black and white four-sided pixel displays as one of the 26 capital letters in the English language. (shrink)

Abstract: The Spotify Status Dataset is a valuable resource that provides real-time insights into the operational status and performance of Spotify, a popular music streaming platform. This dataset contains a wide array of information related to server uptime, user activity, service disruptions, and more, serving as a critical tool for both Spotify's internal monitoring and the broader data analysis community. As digital services like Spotify continue to play a central role in music consumption, understanding the platform's status becomes crucial for (...) ensuring a seamless user experience. This dataset offers numerous research and analysis opportunities, whether you're interested in exploring service availability trends or investigating user behavior patterns during service disruptions. This study highlights the significance of the Spotify Status Dataset, its potential applications, and the valuable insights it can offer to various stakeholders, from Spotify engineers working to enhance service reliability to researchers studying the effects of downtime on user engagement. It invites readers on a journey through this dataset to uncover the secrets of Spotify's operational status and its impact on music enthusiasts worldwide. (shrink)

Abstract: In, this research embodies the spirit of interdisciplinary collaboration, bringing together data science, healthcare, and public health to address one of the most significant global health challenges in recent history. The achievements of this study underscore the potential of advanced machine learning techniques to enhance our understanding of the pandemic and guide effective decision-making. As we navigate the ongoing battle against COVID-19 and prepare for future health emergencies, the lessons learned from this research serve as a testament to the (...) power of data-driven insights and the unwavering commitment of the global scientific community in the face of adversity. (shrink)

Abstract: Climate change presents a critical challenge that demands advanced analytical tools to predict and mitigate its impacts. This paper explores the role of artificial intelligence (AI) in enhancing climate modeling, emphasizing how AI-driven methods are revolutionizing our understanding and response to climate change. By integrating machine learning algorithms with diverse data sources such as satellite imagery, historical climate records, and real-time sensor data, AI improves the accuracy, efficiency, and granularity of climate predictions. The paper reviews key AI techniques, including (...) neural networks and ensemble models, and their applications in simulating extreme weather events and forecasting long-term climate trends. Additionally, it examines the impact of AI-enhanced climate models on policy-making and strategic planning. Despite significant advancements, challenges such as data quality, computational demands, and model interpretability remain. This study underscores the potential of AI to transform climate modeling and highlights areas for future research and development to harness these technologies for a sustainable future. (shrink)

Abstract: Artificial Intelligence (AI) has rapidly evolved, offering transformative capabilities for business decision-making. This paper explores how AI can be leveraged to enhance strategic decision-making in business contexts. It examines the integration of AI-driven analytics, predictive modeling, and automation to improve decision accuracy and operational efficiency. By analyzing current applications and case studies, the paper highlights the opportunities AI presents, including enhanced data insights, risk management, and personalized customer experiences. Additionally, it addresses the challenges businesses face in adopting AI, such (...) as data privacy concerns, integration issues, and the need for skilled personnel. The paper concludes with recommendations for effectively implementing AI solutions to maximize their benefits while navigating potential pitfalls. (shrink)

The urgent need of developing novel teaching methods in education to improve the critical thinking skills has been widely discussed by educational experts. The present study aims to investigate the effectiveness of Fermi problem solving with flipped learning techniques in teaching physics on the improvement of critical thinking skills among Emirati tenth graders. The sample of the study consists of 40 male and female secondary students from two secondary schools belonging to Abu Dhabi Department of Education and Knowledge in United (...) Arab Emirates divided into two groups; the control group consists of 20 students (10 male and 10 female) taught the physics unit by traditional methods, the experimental group consists of 20 students (10 males and 10 females) taught the physics unit by Fermi problem solving with flipped learning techniques. The quasi-experimental design was used, where the modified critical thinking skills test was prepared and administered on the two groups as a pre-test before the students start the treatment and as a post-test once they are finished. The MANCOVA and Two-Way ANCOVA tests were employed to analyze the data. The findings showed that there were statistically significant differences at (α = 0.05) in student’s critical thinking skills test (in favor of experimental group), indicating that the performance of students in treatment group was better than the control group in the post-test. This means that the Fermi problem solving with flipped learning techniques has significant effectiveness on improvement of critical thinking skills among the United Arab Emirates secondary students. Also there were no statistically significant differences between male and female students. (shrink)

BĪRŪNĪ, ABŪ RAYḤĀN MOḤAMMAD b. Aḥmad (362/973- after 442/1050), scholar and polymath of the period of the late Samanids and early Ghaznavids and one of the two greatest intellectual figures of his time in the eastern lands of the Muslim world, the other being Ebn Sīnā.

The study discusses the correct name of one of Abd al-Abbas Iranshahri's books. The book is based on Bayan al-Adyan (بیان‌الادیان) authored by Abolma’ali Mohammad Balkhi, which has been called "Hastishenasi". Looking on the different meanings and interpretations of "Hasti" in Persian language and culture and the understanding of early scholars of Islam, the real name of the book seems to be "Hasti-Dad". It is emphasized in the study on the importance of Iranian's due attention to Persian and that (...) many intellectuals found it necessary to have a heavenly book in Persian to explain and interpret the principles of Iran's historical and mythological beliefs. So, those who did not want a religion other than Islam in Iran, translated Qur'an, the holy book of Islam, into Persian in the Samanid period. (shrink)

This essay briefly evaluates the ongoing controversy between LIU Qingping and GUO Qiyong (and their followers) about the “moral heart ”of Confucianism in order to draw acomparison with Islamic ethics for mutual illumination of the two traditions.

Abstract: Background: In spite of the fact that computers continue to improve in speed and functions operation, they remain complex to use. Problems frequently happen, and it is hard to resolve or find solutions for them. This paper outlines the significance and feasibility of building a desktop PC problems diagnosis system. The system gathers problem symptoms from users’ desktops, rather than the user describes his/her problems to primary search engines. It automatically searches global databases of problem symptoms and solutions, and (...) also allows ordinary users to contribute exact problem reports in a structured manner. Objectives: The main goal of this Knowledge Based System is to get the suitable problem desktop PC symptoms and the correct way to solve the errors. Methods: In this paper the design of the proposed Knowledge Based System which was produced to help users of desktop PC in knowing many of the problems and error such as : Power supply problems, CPU errors, RAM dumping error, hard disk errors and bad sectors and suddenly restarting PC. The proposed Knowledge Based System presents an overview about desktop PC hardware errors are given, the cause of fault are outlined and the solution to the problems whenever possible is given out. CLIPS Knowledge Based System language was used for designing and implementing the proposed expert system. Results: The proposed PC desktop troubleshooting Knowledge Based System was evaluated by IT students and they were satisfied with its performance. (shrink)

This article concerns the criteria for when a group can collectively hold a belief. By proposing a cognitive non-summative account of group belief (GB), I highlight three necessary features at the individual level: commonality, mutuality, and group-based considerations. My account asserts that group G believes proposition p if and only if a sufficient majority of its members believe (1) pG, where pG is “Given some G-based considerations, p,” and (2) “the majority of G also believe that pG.” The article critiques (...) three significant accounts of GB: Anthony Quinton’s simple summative account, Margaret Gilbert’s and Raimo Tuomela’s conative non-summative views, and Jennifer Lackey’s modified summativism. (shrink)

هدف از پژوهش حاضر، بررسی مسائل اخلاق هوش مصنوعی در حوزۀ هنر است. به‌این‌منظور، با تکیه بر فلسفه و اخلاق هوش مصنوعی، موضوعات اخلاقی که می‌تواند در حوزۀ هنر تأثیرگذار باشد، بررسی شده است. باتوجه‌به رشد و توسعۀ استفاده از هوش مصنوعی و ورود آن به حوزۀ هنر، نیاز است تا مباحث اخلاقی دقیق‌تر مورد توجه پژوهشگران هنر و فلسفه قرار گیرد. برای دست‌یابی به هدف پژوهش، با استفاده از روش تحلیلی‌ـ‌توصیفی، مفاهیمی همچون هوش مصنوعی، برخی تکنیک‌های آن و موضوعات (...) اخلاقی هوش مصنوعی در هنر تبیین و بررسی شده است. نتایج پژوهش نشان می‌دهد موضوعات اخلاقی همچون حریم خصوصی و نظارت، دستکاری در رفتار، تاری و شفافیت، سوگیری در تصمیمات سیستم، و اتوماسیون و اشتغال حوزۀ هنر قابل‌بررسی است. این موضوعات اخلاقی، گاهی درتقابل و گاهی در ارتباط مستقیم و هم‌سو با یکدیگر قرار دارند. بررسی‌ها نشان می‌دهد پاسخ به پرسش‌های اخلاق هوش مصنوعی در حوزۀ هنر، نیازمند پاسخ به پرسش‌های اخلاقی به‌صورت عام در هوش مصنوعی است. The aim of this paper is to explore the ethical implications of artificial intelligence (AI) in the realm of art. Drawing on the philosophy and ethics of AI, this study examines the ethical challenges that may arise in the art domain. Given the increasing use and penetration of AI in the field of art, there is a need for more careful attention to the ethical dimensions of this phenomenon by scholars of art and philosophy. To achieve the objective of the paper, concepts such as AI, some of its techniques, and the ethical issues of AI in art are explained and analyzed using the analytical-descriptive method. The findings of the study reveal that ethical issues such as privacy and surveillance, manipulation of behavior, opacity and transparency, bias in decision systems, and automation and employment can be investigated in the field of art. These ethical issues are sometimes in conflict and sometimes in direct relation with each other. This study suggests that addressing the ethical questions of AI in the field of art requires addressing the ethical questions of AI in general. (shrink)

Throughout this research, imposing the training of an Artificial Neural Network (ANN) to play tic-tac-toe bored game, by training the ANN to play the tic-tac-toe logic using the set of mathematical combination of the sequences that could be played by the system and using both the Gradient Descent Algorithm explicitly and the Elimination theory rules implicitly. And so on the system should be able to produce imunate amalgamations to solve every state within the game course to make better of results (...) of winnings or getting draw. (shrink)

This paper introduces the novel concept of Neutro-BCK-algebra. In Neutro-BCK-algebra, the outcome of any given two elements under an underlying operation (neutro-sophication procedure) has three cases, such as: appurtenance, non-appurtenance, or indeterminate.

The practice of assigning authorship for a scientific publication tends to raise two normative questions: 1) ‘who should be credited as an author?’; 2) ‘who should not be credited as an author but should still be acknowledged?’. With the publication of the revised version of The European Code of Conduct for Research Integrity (ECCRI), standard answers to these questions have been called into question. This article examines the ways in which the ECCRI approaches these two questions and compares these approaches (...) to standard definitions of ‘authorship’ and ‘acknowledgment’ in guidelines issued by the International Committee of Medical Journal Editors (ICMJE) and the World Association of Medical Editors (WAME). In light of two scenarios and the problems posed by these kinds of ‘real-world’ examples, we recommend specific revisions to the content of the ECCRI in order not only to provide a more detailed account of the tasks deserving of acknowledgment, but to improve the Code’s current definition of authorship. (shrink)

Publication date: 29 September 2016 Source: Author: Samy S. Abu Naser, Mazen J. Al Shobaki, Youssef M. Abu Amuna This paper aims to measure knowledge management maturity in higher education institutions to determine the impact of knowledge management on high performance. Also the study aims to compare knowledge management maturity between universities and intermediate colleges. This study was applied on five higher education institutions in Gaza strip, Palestine. Asian productivity organization model was applied to measure Knowledge Management Maturity. Second dimension (...) which assess high performance was developed by the authors. The controlled sample was. Several statistical tools were used for data analysis and hypotheses testing, including reliability correlation using Cronbach’s alpha, “ANOVA”, Simple Linear Regression and Step Wise Regression. The overall findings of the current study shows that maturity level is in the second level. Findings also support the main hypothesis and it is sub- hypotheses. The most important factors effecting high performance are: Processes, knowledge management leadership, People, knowledge management Outcomes. Furthermore the current study is unique by the virtue of its nature, scope and way of implied investigation, as it is the first comparative study between universities and intermediate colleges in Gaza Strip that explores the status of knowledge management maturity using the Asian productivity Model. (shrink)

In this paper, I try to offer a full-fledged defense of principle-based ethics against moral particularism. My discussions not only refute particularists’ allegations against moral generalism but also provide a positive rationale for a principle-based approach in ethics. By borrowing insights from Brandom’s and Peregrin’s normative pragmatism, I describe the fundamental roles of moral principles. In my view, moral principles constitute morality, and they can function as default reasons in our moral deliberations. Moreover, I argue that my principle-based conception of (...) ethics has advantages over particularism since it explains the phenomenological experience and covers basic intuitions in the moral domain that particularists have difficulty explaining. (shrink)

In this paper, an interpretation of "necessity", inspired by a Leibnizian idea and based on the method of dialogical logic, is introduced. The semantic rules corresponding to such an account of necessity are developed, and then some peculiarities, and some potential advantages, of the introduced dialogical explanation, in comparison with the customary explanation offered by the possible worlds semantics, are briefly discussed.

The aim of this paper is to evaluate the critical success factors and investigate the benefits that might be gained once implementing Electronic Customer Relationship Management at HEI from employee perspective. The study conducted at Al Quds Open University in Palestine and data collected from (300) employee through a questionnaire which consist of four variables. A number of statistical tools were intended for hypotheses testing and data analysis, including Spearman correlation coefficient for Validity, reliability correlation using Cronbach’s alpha, and Frequency (...) and Descriptive analysis. The overall findings of the current study show that all the features were important for staff and it was critical success factors, at the same time, websites were providing all the features discussed by the theory whereas staff showed their willingness to use those features if provided. It is also discovered that implementing Electronic Customer Relationship Management can cause staff retention, were provided efficiently and needed to be improved. Research limitations: The survey findings were based on QOU employee in Palestine, UAE and KSA branches not included in the study. (shrink)

Infants and children are suffering from a lots of nausea and vomiting problems. Doctors, usually face various difficulties dealing with these problems because of their similarities. In this paper, we present an expert system to help users in getting the correct diagnosis of problems of nausea and vomiting in infants and children (Gastro-esophageal reflux, Gastroenteritis, Systemic Infection, Bowel obstruction, Tumors, A bleeding disease, tonsillitis, and Hepatitis pharynx). Furthermore, this expert system provide information about the disease and how to deal with (...) it. SL5 Object expert system language was used to design and implement this expert system. (shrink)

Abstract. Intelligent Tutoring System Builder (ITSB) is an authoring tool designed and developed to aid teachers in constructing intelligent tutoring systems in a multidisciplinary fields. The teacher is needed to create a set of pedagogical fundamentals, which, in line, are inured to automatically build up a broad tutor framework and construct an intelligent tutoring system. In this paper an explanation of the theory and the architecture of the tool is outlined. A presentation of several system components, the requirements of the (...) different components, integration of these components in ITSB tool are shown. Furthermore, implanting of requirements, cognitive principle, and common design fundamentals in the tool to ease the use of teachers. A variety of design matters, an example of building an intelligent tutoring system for teaching Java language using ITSB tool and an evaluation are presented. (shrink)

The idea of the uniformity of nature, as a solution to the problem of induction, has at least two contemporary versions: natural kinds and natural necessity. Then there are at least three alternative ontological ideas addressing the problem of induction. In this paper, I articulate how these ideas are used to justify the practice of inductive inference, and compare them, in terms of their applicability, to see whether each of them is preferred in addressing the problem of induction. Given the (...) variety of contexts in which inductive inferences are made, from natural science to social science and to everyday thinking, I suggest that no singular idea is absolutely preferred, and a proper strategy is probably to welcome the plurality of ideas helpful to induction, and to take pragmatic considerations into account, in order to judge in every single case. (shrink)

Objective :This research aims at the constructing a basic perspective on critical thinking in line with Islamic principles with a brief explanation of such principles. Methodology :This study uses exegetical methods, by studying the relevant parts of the religious texts and systemizing the information in a critical way. Research findings: The research demonstrates that the principles for constructing an Islamic critical thinking perspective are found in the primary sources of Islam. The knowledge (العلم ;al-'ilm) makes the core of Islamic critical (...) thinking, and means of such knowledge are the revelation (الوحي; al-wahy), the use of senses (احلواس ;al-hawas), intellect (reason and heart, القلب و العقل ;al-aql wa al-qalb), historical experience or testimony (اوالشهادة السياحة ;al-siyahah aw al-shidah), and meditating on the natural and physical world (الكون ;al-kaun). There are other means such as prophetic dreams (الصادقة الرؤاي ;al-ruya al-sadiqah), insight (الفراسة ;al-firasah), illumination ( املكاشفة; al-mukashafah), and inspiration ( االهلام; al-ilham), though they are dismissed to account for any scholarly opinion or position and thus they remain non-binding according to Shariah. However, they can be a gift of a genius mind that is extraordinarily critical, helping such minds in understanding and creativity. Critical thinking includes using many human faculties and the Quran frequently emphasizes contemplation التفكر ;al-tafakur), reflection (التدبر ;at-tadabbur), understanding التفقه; at-tafaqquh), and reasoning (التعقل ;at-taakul); and these concepts are the foundations of critical thinking which could be developed and elaborated in many ways. Applications: The need of having an Islamic construction of critical thinking is because of the special worldview of Islam and its conception of knowledge which treats revelation (الوحي ;al-wahy) as the primary source of belief and knowledge. The findings of the study can be useful in fashioning a basic curriculum for critical thinking for Islamic educational institutions. (shrink)

In the article of Bueno titled “Davidson and Skepticism: How Not to Respond to the Skeptic,” he intends to demonstrate that although Davidson’s theory of Coherence holds many attractions, it does not entail a response to any kinds of skepticism including Global, Lottery, and Pyrrhonian. In this study, the goal is to criticize the work of Prof. Bueno in connection with two criticisms raised by him over Davidson’s anti-skeptical strategy. Further, by giving some reasons in favor of Davidson’s anti-skepticism argument, (...) it will be shown that neither the above stated criticisms nor the global skepticism response could undermine the validity of anti-skepticism argument. (shrink)

Aristotle has repeatedly stated in his works that 'being has several senses'. Is this to be regarded as his pluralistic ontology, an approach that seems to be too nascent? If so, how can this newfound approach in ontology be linked to the ideas of the father of this science, i.e. Aristotle? These are the questions that the present article seeks to answer. First, we will show that Aristotle thinks of 'being' in four senses. Then, step by step he proceeds to (...) leave different senses aside, insofar as only one sense remains: being in the sense of the figures of the categories. We argue, then, that it is better to found Aristotle's ontological pluralism upon the fourfold sorts, instead of the tenfold categories. We will provide some reasons for this preference, i.e. in defense of the fourfold sorts and against the tenfold categories. Each of these four modes of being will be discussed. Finally, a version of ontological pluralism will be provided and attributed to Aristotle: Sorting Version. According to this version of pluralism, we will demonstrate how Aristotle speaks of the ontologically fundamental structure of the world. (shrink)

هدف این پژوهش بررسی معرفت‌شناختی خروجی‏های هوش مصنوعی در برابر پرسش‏های علمی است. با توجه به اینکه در هوش مصنوعی، از اطلاعات و داده‏های متخصصان و دانشمندان برای یادگیری استفاده می‏شود؛ ممکن است این تصور پدید آید که می‏توان خروجی‏های به‌دست‌آمده در برابر پرسش‏های علمی را نوعی گواهی گروهی در نظر گرفت. این پژوهش با استفاده از روش تحلیلی-انتقادی دیدگاه‏های موجود را مورد ارزیابی قرار می‏دهد که در این راستا از رویکرد تجربه‏گراییِ انتقادیِ زمینه‏ایِ هلن لانجینو استفاده ‏شده است. نتایج (...) پژوهش حاضر نشان می‏دهد رویکردهای سنتی و ابزاری امکان بررسی خروجی هوش مصنوعی تحت عنوان گواهی را ندارند. رویکرد شبه-گواهی بر معرفت‏شناسی اجتماعی جریان اصلی متکی است که بررسی‏ها نشان می‏دهد استدلال‏ها و انتقادات این رویکرد بر پایه شناخت روند تولید دانش علمی استوار نیست. دیگر نتایج پژوهش نشان می‏دهند که کماکان خروجی هوش مصنوعی در برابر پرسش‏های علمی را نمی‏توان گواهی گروهی متخصصان دانست و اصطلاح «باور مبتنی بر تکنولوژی» بهتر آن را تبیین می‏کند. (shrink)

Turing does not provide an explanation for substituting the original question of his test – i.e., “Can machines think?” with “Can a machine pass the imitation game?” – resulting in an argumentative gap in his main thesis. In this article, I argue that a positive answer to the second question would mean attributing the ability of linguistic interactions to machines; while a positive answer to the original question would mean attributing the ability of thinking to machines. In such a situation, (...) defending the Turing Test requires establishing a relationship between thought and language. In this regard, Davidson's no-priority theory is presented as an approach for defending the test. (shrink)

Mercy is central to the very identity of Islam, yet this is not often recognized by theologians and scholars. This paper will demonstrate that the idea of mercy is important as a prelude to the understanding of Islam and an interpretation of its teachings. This important role of mercy is evident in Islam’s primary sources – the Quran and the Sunnah – and is not contingent on political, social, or historical contexts. It is well recognized that the proper comprehension of (...) Islam hinges on grasping the attributes of God, his divine message, and the character of his messenger. But what is often overlooked is that these aspects are fundamentally rooted in mercy. Islam encourages its followers to cultivate merciful virtues. It emphasizes that the compassionate nature of the faith should always precede the understanding and interpretation of its teachings. As a result, Muslims are encouraged to nurture a compassionate self, foster a benevolent mindset and approach, and anchor their religious obedience in the spirit of mercy. While followers of Islam are responsible for upholding this ethos, external observers too should try to view the religion fairly based upon this recognition of the centrality of mercy. (shrink)

Pain medication is one of the responses to the mercy argument that utilitarian ethicists use for justifying active euthanasia on the grounds of prevention of cruelty and appeal to beneficence. The researcher reinforces the significance of pain medication in meeting this challenge and considers it the most preferred response among various other responses. It is because of its realism and effectiveness. In exploring the mechanism and considerations related to pain medication, the researcher briefly touches the Catholic ethical position on the (...) issue, a position that cannot be ignored in the development of contemporary bioethics. The researcher particularly deliberates on the contemporary Islamic discourse on the issue; by furthering the debate in line with the Islamic legal maxims and general guidance from the primary sources of Islamic law and ethics. The resolution on the issue is sought by synthesizing the views and legal maxims (al-Qawaid al-Fiqhiyyah) on the issue, which in conclusion provide justification for pain medication by considerably regarding pain as necessity and pressing need. However, such resolution allows pain medication to the limit and proportion that removes the pain and prohibits overdosing the patient with medication that may directly cause the death. (shrink)

It is crucial to actively detect the risks of transactions in a financial company to improve customer experience and minimize financial loss. In this study, we compare different machine learning algorithms to effectively and efficiently predict the legitimacy of financial transactions. The algorithms used in this study were: MLP Repressor, Random Forest Classifier, Complement NB, MLP Classifier, Gaussian NB, Bernoulli NB, LGBM Classifier, Ada Boost Classifier, K Neighbors Classifier, Logistic Regression, Bagging Classifier, Decision Tree Classifier and Deep Learning. The dataset (...) was collected from Kaggle depository. It consists of 6362620 rows and 10 columns. The best classifier with unbalanced dataset was the Random Forest Classifier. The Accuracy 99.97%, precession 99.96%, Recall 99.97% and the F1-score 99.96%. However, the best classifier with balanced dataset was the Bagging Classifier. The Accuracy 99.96%, precession 99.95%, Recall 99.98% and the F1-score 99.96%. (shrink)

كانت وجود علم و اخلاق را پيش فرض ميگيرد و به بررسـي حـدود و ثغـور هـر يـك ميپردازد. در اين راه او از اصطلاحات «عقل» و «فاهمه» استفاده ميكند. در اين مقاله به تعريف اين دو مفهوم نزد كانت، از ديدگاهي كه وجـه تمـايز آنهـا را آشـكارتر كنـد، پرداخته ميشود؛ سپس جايگاه اين دو قوه در حيطـة علـم بررسـي و آنگـاه بـا بررسـي مواضع اخلاقي كانت نتيجه گرفته ميشود كه از ديدگاه وي كار ويـژة عقـل در حيطـه عمل و اخلاق (...) رخ مينمايد و عقل محض در ذات خود عملي است. (shrink)

This study attempts an exposition of different perceptions of obligation to medical treatment that have emerged from the Islamic theological understanding and how they contribute to diversity of options and flexibility in clinical practice. Particularly, an attempt is made to formulate an Islamic perspective on ordinary and extraordinary means of medical treatment. This distinction is of practical significance in clinical practice, and its right understanding is also important to public funded healthcare authorities, guardians of the patients, health and life insurance (...) institutions, and employers who provide health care coverage to their employees. Not only these parties, but also lawyers and justice administration functionaries such as public prosecutors and judges are in need of understanding this distinction to deal with relevant litigations. The distinction could be made regarding terminally ill patients and non-terminally ill patients separately. The essential factors that matter in making the distinction between ordinary and extraordinary means of treatment are: (1) patient capacity (2) expert advice, and (3) nature of medication. Regarding terminally ill patients, medical treatment can become extraordinary because of (1) patient capacity and (2) nature of medication. In both these case the deciding condition applies: the expert advice taken from a group of physicians. In regards to non- terminally ill patients, extraordinary medical treatment includes three cases: (1) treatment that is known to be useless and futile, (2) treatment that endangers the life or cause more harm than what it removes, and (3) useful treatment, but the patient is unable to bear the cost. (shrink)

Artificial intelligence (AI), deep learning, machine learning and neural networks represent extremely exciting and powerful machine learning-based techniques used to solve many real-world problems. Artificial intelligence is the branch of computer sciences that emphasizes the development of intelligent machines, thinking and working like humans. For example, recognition, problem-solving, learning, visual perception, decision-making and planning. Deep learning is a subset of machine learning in artificial intelligence that has networks capable of learning unsupervised from data that is unstructured or unlabeled. Deep learning (...) is a technique used to generate face detection and recognize it for real or fake by using profile images and determine the differences between them. In this study, we used deep learning techniques to generate models for Real and Fake face detection. The goal is determining a suitable way to detect real and fake faces. The model was designed and implemented, including both Dataset of images: Real and Fake faces detection through the use of Deep learning algorithms based on neural networks. We have trained dataset which consists of 9,000 images for total in 150 epochs, and got the ResNet50 model to be the best model of network architectures used with 100% training accuracy, 99.18% validation accuracy, training loss 0.0003, validation loss 0.0265, and testing accuracy 99%. (shrink)

Patient autonomy has a critical role in making decisions in medical practice and it is accepted by international conventions on health care and various national medical codes. However, pertaining to terminally ill patients, this right becomes very problematic in regards to end of life decisions. Utilitarian ethicists motivated by materialistic worldview and individualism have made patient autonomy based arguments for the permissibility of active euthanasia. An appraisal of pro-euthanasia arguments that include the best interest, golden rule, and autonomy is made (...) in this paper. The best interest and golden rule arguments are based on subjective moral judgment thus failing the universalization test. The argument from autonomy is unconvincing because of the confounded autonomy of the terminally ill patients. (shrink)

The importance of the self (nafas) with which heart is assumed to be connected is significantly present in Islamic ethics that could be derived from the primary sources of Islam, the scripture and Sunnah. However, the human heart (Qalb) is in need of further exploration concerning its relationship to ethics. Ethics is part of the Islamic worldview and authentic ethical behavior in such a worldview is connected to intentionality which is an attribute of the heart. The Islamic sources show that (...) the sound heart is at the center of an ethical agent that is free of vices, and the strength and motivation for good actions originate from the heart by the virtue of belief, Iman. Therefore, the right ethical behavior emanates from the heart. The important point is that intentionality as the property of the heart matters in Islamic ethics because ethical accountability is ultimately before God in Islam. Therefore, there is a responsibility for a Muslim to safeguard his heart from temptations and vices. Hearts can get ethically sick and one reason for such sickness and hardness could be because of committing sins repeatedly which are mostly unethical actions by their very nature. Therefore, a Muslim should keep his heart clean from vices. In ethical decision-making, the heart plays its role as its purity will lead to good actions and better understanding. The heart has intellectual and cognitive powers that can help in making ethical decisions. (shrink)

Aristotle discusses divine intellect in Metaphysics XII.9. This chapter, however, seems incomplete, as a question posed in it (1074b36–8) remains unaddressed. On the other hand, there is another passage (1072b14–30) in Metaphysics XII.7 that seems to address a similar topic. Nevertheless, the latter passage appears, in several respects, to be extraneous to its present chapter. This article argues that the placement of the aforementioned passage within Metaphysics XII.7 is incorrect, and its original position is actually at the end of Metaphysics (...) XII.9. This alternative reading not only offers a better understanding of 1072b14–30 but also has the potential to finalize the unfinished discussion in Metaphysics XII.9. (shrink)

Automatic detection of diseases and anatomical landmarks in medical images by the use of computers is important and considered a challenging process that could help medical diagnosis and reduce the cost and time of investigational procedures and refine health care systems all over the world. Recently, gastrointestinal (GI) tract disease diagnosis through endoscopic image classification is an active research area in the biomedical field. Several GI tract disease classification methods based on image processing and machine learning techniques have been proposed (...) by diverse research groups in the recent past. However, yet effective and comprehensive deep ensemble neural network-based classification model with high accuracy classification results is not available in the literature. In this thesis, we review ways and mechanisms to use deep learning techniques to research on multi-disease computer-aided detection about gastrointestinal and identify these images. We re-trained five state-of-the-art neural network architectures, VGG16, ResNet, MobileNet, Inception-v3, and Xception on the Kvasir dataset to classify eight categories that include an anatomical landmark (pylorus, z-line, cecum), a diseased state (esophagitis, ulcerative colitis, polyps), or a medical procedure (dyed lifted polyps, dyed resection margins) in the Gastrointestinal Tract. Our models have showed results with a promising accuracy which is a remarkable performance with respect to the state-of-the-art approaches. The resulting accuracies achieved using VGG, ResNet, MobileNet, Inception-v3, and Xception were 98.3%, 92.3%, 97.6%, 90% and 98.2%, respectively. As it appears, the most accurate result has been achieved when retraining VGG16 and Xception neural networks with accuracy reache to 98% due to its high performance on training on ImageNet dataset and internal structure that support classification problems. (shrink)

This paper aims to assess knowledge management maturity at HEI to determine the most effecting variables on knowledge management that enhance the total performance of the organization. This study was applied on Al-Azhar University in Gaza strip, Palestine. This paper depends on Asian productivity organization model that used to assess KM maturity. Second dimension assess high performance was developed by the authors. The controlled sample was (364). Several statistical tools were used for data analysis and hypotheses testing, including reliability Correlation (...) using Cronbach’s alpha, “ANOVA”, Simple Linear Regression and Step Wise Regression. The overall findings of the current study suggest that KMM is suitable for measuring and lead to enhance high performance. KMM assessment shows that the university maturity level is in level three. Findings also support the main hypothesis and it is subhypotheses. The most important factors effecting high performance are: Processes, KM leadership, People, KM Outcomes, Knowledge Process. Furthermore the current study is unique by the virtue of its nature, scope and way of implied investigation, as it is the first study at HEI in Palestine explores the status of KMM using the Asian productivity model. (shrink)

Background: The castor bean is a large grassy or semi-wooden shrub or small tree. Any part of the castor plant parts can suffering from a disease that weakens the ability to grow and eliminates its production. Therefore, in this paper will identify the pests and diseases present in castor culture and detect the symptoms in each disease. Also images is showing the symptom form in this disease. Objectives: The main objective of this expert system is to obtain appropriate diagnosis of (...) the disease. Methods: In this paper, the expert system is designed for the ability of agricultural engineers to detect and diagnose disease of castor like as: seeding blight, alternaria blight, cercospora leaf spot, powdery mildew and wilt. This system presents the disease symptoms, survival and spread, favorable conditions and image for each disease. Clips and Delphi expert system languages are used for designing and implementing the proposed expert system. Results: The expert system in the diagnosis of castor diseases was assessed by farmers and agricultural engineers and they were satisfied and accepted with its quality of performance. Conclusions: The expert system is easy for farmers and people have experience in the plant of castor to detect and diagnosis the symptoms that may face this plant from several disease. (shrink)

In this paper an Artificial Neural Network (ANN) model, for predicting the category of a tumor was developed and tested. Taking patients’ tests, a number of information gained that influence the classification of the tumor. Such information as age, sex, histologic-type, degree-of-diffe, status of bone, bone-marrow, lung, pleura, peritoneum, liver, brain, skin, neck, supraclavicular, axillar, mediastinum, and abdominal. They were used as input variables for the ANN model. A model based on the Multilayer Perceptron Topology was established and trained using (...) data set which its title is “primary tumor” and was obtained from the University Medical Centre, Institute of Oncology, Ljubljana, Yugoslavia Test data evaluation shows that the ANN model is able to correctly predict the tumor category with 76.67 % accuracy. (shrink)

Abstract: This research paper explores the transformative impact of artificial intelligence (AI) on digital media, examining both the opportunities it presents and the challenges it poses. The integration of AI into digital media has revolutionized content creation, distribution, and analytics, offering unprecedented levels of personalization, efficiency, and insight. Automated journalism, AI- driven recommendation systems, and advanced audience analytics are among the key areas where AI is making significant contributions. However, the adoption of AI also brings ethical considerations, including concerns about (...) bias, privacy, and transparency. This paper analyzes case studies of successful and unsuccessful AI implementations in digital media, highlighting lessons learned and best practices. Finally, it looks ahead to future trends and developments, providing a comprehensive overview of the current state and potential future of AI in digital media. Through this exploration, the paper aims to provide valuable insights for academics, industry professionals, and policymakers on harnessing the power of AI while addressing its challenges. (shrink)

Abstract: Artificial Intelligence (AI) has rapidly advanced, offering significant potential to transform business decision-making. This paper delves into how AI can be harnessed to enhance strategic decision-making within business contexts. It investigates the integration of AI-driven analytics, predictive modeling, and automation, emphasizing their role in improving decision accuracy and operational efficiency. By examining current applications and case studies, the paper underscores the opportunities AI offers, including improved data insights, risk management, and personalized customer experiences. It also addresses the challenges businesses (...) face when adopting AI, such as data privacy concerns, integration difficulties, and the need for skilled professionals. The paper concludes by offering recommendations for successfully implementing AI solutions to maximize benefits while mitigating potential challenges. (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)

This paper clarifies the philosophical connection between Al-Ghazali and Descartes, with the goal to articulate similarities and differences in their famous journeys from doubt to certainty. As such, its primary focus is on the chain of their reasoning, starting from their conceptions of truth and doubt arguments, until their arrival at truth. Both philosophers agreed on the ambiguous character of ordinary everyday knowledge and decided to set forth in undermining its foundations. As such, most scholars tend to agree that the (...) doubt arguments used by Descartes and Al-Ghazali are similar, but identify their departures from doubt as radically different: while Descartes found his way out of doubt through the cogito and so reason, Al-Ghazali ended his philosophical journey as a Sufi in a sheer state of passivity, waiting for the truth to be revealed to him by God. This paper proves this is not the case. Under close textual scrutiny and through the use of basic Husserlian-phenomenological concepts, I show that Al-Ghazali's position was misunderstood, thus disclosing his true philosophic nature. (shrink)

Diabetes is one of the most common diseases worldwide where a cure is not found for it yet. Annually it cost a lot of money to care for people with diabetes. Thus the most important issue is the prediction to be very accurate and to use a reliable method for that. One of these methods is using artificial intelligence systems and in particular is the use of Artificial Neural Networks (ANN). So in this paper, we used artificial neural networks to (...) predict whether a person is diabetic or not. The criterion was to minimize the error function in neural network training using a neural network model. After training the ANN model, the average error function of the neural network was equal to 0.01 and the accuracy of the prediction of whether a person is diabetics or not was 87.3%. (shrink)

در پراگماتیسم پیامبرانۀ کرنل وست، اخلاق و سیاست در هنر پیوندی عمیق دارند. او فیلسوفی است که بررسی و مبارزه با نژادپرستی در مرکز تفکراتش قرار دارد. در رویکرد وست اخلاق تبدیل پایۀ زیبایی‌شناسی و سیاست می‌شود. او تصویری از زندگی اخلاقی ارائه می‌دهد که در آن بر منحصربه‌فرد بودن ویژگی‌های انسان‌ها تأکید می‌شود. هدف او از پراگماتیسم پیامبرانه، ارائۀ پاسخ به مشکلات کوتاه‌مدت و تفسیرهای مداوم فرهنگی در دوران تاریخی مشخص است. وست نهیلیسم را شرّ و در تضاد با (...) دموکراسی می‌داند. از نظر او بدون هنر نمی‌توان شرایط سخت مبارزه با نهیلیسم را تاب‌ آورد. او معتقد است هنر با اصالت – هنر با دغدغۀ مشترک با ستمدیدگان و رنگین‌پوستان– دارای خاصیت ضد نهیلیستی است؛ که در عالی‌ترین سطح می‌توان آن را در هنر سیاه‌پوستان آمریکایی مشاهده کرد. در این مقاله با استفاده از روش تحلیلی-انتقادی، پس از بررسی و تبیین نظریات وست، رابطۀ سیاست و اخلاق در هنر از نگاه وست مورد بررسی و نقد قرار می‌گیرد. (shrink)

Chest pain is the pain felt in the chest by infants, children and adolescents. In most cases the pain is not associated with the heart. It is mainly recognized by the observance or report of pain by the infant, child or adolescent by reports of distress by parents or care givers. Chest pain is not unusual in children. Lots of children are seen in ambulatory clinics, emergency rooms and hospitals and cardiology clinics. Usually there is a benign cause for the (...) pain for utmost children. Certain patients have conditions that are serious and perhaps life-threatening. Chest pain in pediatric patients needs careful physical examination and a detailed history that would point to the possibility of a serious cause. Researches of pediatric chest pain are scarce. It has been difficult to create evidence-based guidelines for evaluation. In this paper we propose an expert system to help doctors and parents, and care giver in diagnosing chest pain in infants and children. This expert System is design and implemented in SL5 Object language. (shrink)