Results for 'Nadia S. Korablova'

985 found
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  1. From Anaxagoras to Albert the Great: The Latency of Forms and the Active Power of Matter in the Middle Ages.Nadia Bray - 2024 - Noctua 11 (3):368-392.
    This study explores the doctrine of the latency of forms in the Middle Ages, with a particular focus on Albert the Great’s elaboration through his theory of inchoatio formarum. The doctrine, whose origins date back to Anaxagoras and was further developed in the Arabic philosophical tradition, posits that matter contains all the manifest qualities of substances, though in a latent form. Albert reworks this doctrine, correcting the immanentist and paradoxical implications attributed to Anaxagoras’ error, and proposes an interpretation in which (...)
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  2. The Sacred Art of Burckhardt and Seyyed Hossein Nasr: the Contemporary Approach of Farabi's Virtuous City’s Art and Suhrawardi's Illuminating Art.Maftouni Nadia & Davar Mohamad Mahdi - 2022 - Pajohesh Dar Honar Wa Ulom Ensani 5 (44):19- 26.
    Art among Iranian and Islamic philosophers has always been associated with moral, so that many philosophers have considered art to be synonymous with virtue. By examining Farabi's opinions, it is possible to extract his special ideas about art and artist. In Farabi's theory of Virtuous Art, the artist is on the second floor of utopia and carries religious truths and reasonable happiness. Also, the theory of Virtuous Art has all the aesthetic features and artistic creativity, and in fact, all artistic (...)
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  3. Suhrawardi’s Approach to the Treatment of the Diseases of the Soul.Mohamad Mahdi Davar & Nadia Maftouni - 2023 - Nasime Kherad 9 (1):25-44.
    Suhrawardi is among the philosophers who, compared to other philosophers, developed his intellectual system in an innovative manner. Suhrawardi’s illuminative intellectual system is the result of his thoughts in philosophy and mysticism, and the ultimate of his illuminative school is to achieve the station of mystic perception and theosophy using intuition and reasoning. The pure soul is an important pillar in the wayfarer’s intuition; and since the soul has descended from the world of the dominant lights to the world of (...)
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  4. The Metaphysics of Love in Avicenna’s Philosophical System.Ghasem Ali Kouchnani, Nadia Maftouni & Mohamad Mahdi Davar - 2024 - History of Islamic Philosophy 2 (8):5-36.
    The metaphysical concept of love in Sinawi philosophy examines the three axes of the essence, reason, and manner of love in Avicenna’s intellectual system, resulting in Avicenna’s theory of love. By examining Avicenna’s views on love, particularly in his treatise on love, it can be understood that he has presented two definitions of love (essence), and in the seven chapters of the treatise on love, he admits that love is a pervasive essential substance throughout existence, and no creature is devoid (...)
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  5. Theological foundations of Illuminated Suhrawardi’s Virtuous City.Mohamad Mahdi Davar & Nadia Maftouni - 2022 - Nasim Kherad 8 (1):9-26.
    Suhrawardi created a revolution in the field of Iranian and Islamic thought by compiling the Illuminated Philosophy. The philosophy of Suhrawardi, which includes the collection of works and philosophical and mystical thoughts of Suhrawardi, is well presented in his book Hikma al-Ishraq. Unlike Farabi, Suhrawardi did not write an independent work about Utopia, but he spoke about the ideal ruler and the right to rule. Moreover, in his allegorical works, more than anything else, he pointed out moral points that can (...)
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  6. Content Neutrality: A Defense.Joseph Dunne - 2019 - Journal of Ethical Urban Living 2 (1):35-50.
    To date, both the United States federal government and twenty-one individual states have passed Religious Freedom Restoration Acts that aim to protect religious persons from having their sincere beliefs substantially burdened by governmental interests. RFRAs accomplish this by offering a three-pronged exemption test for religious objectors that is satisfied only when (1) an objector has a sincere belief that is being substantially burdened; (2) the government has a very good reason (e.g., health or safety) to interfere; and (3) there is (...)
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  7. Democratic Representation and Legislative Theatre.Gustavo H. Dalaqua - 2020 - Theoria: A Journal of Social and Political Theory 67 (164):26-47.
    This article seeks to contribute to the debate on how political representation can promote democracy by analysing the Chamber in the Square, which is a component of legislative theatre. A set of techniques devised to democratise representative governments, legislative theatre was created by Augusto Boal when he was elected a political representative in 1993. After briefly reviewing Nadia Urbinati’s understanding of democratic representation as a diarchy of will and judgement, I partially endorse Hélène Landemore’s criticism and contend that if (...)
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  8. Forgetting Fatness: The Violent Co-optation of the Body Positivity Movement.Cheryl Frazier & Nadia Mehdi - 2021 - Debates in Aesthetics 16 (1):13-28.
    In this paper we track the ‘body positivity’ movement from its origins, promoting radical acceptance of marginalized bodies, to its co-optation as a push for self-love for all bodies, including those bodies belonging to socially dominant groups. We argue that the new focus on the ‘body positivity’ movement involves a single-minded emphasis on beauty and aesthetic adornment, and that this undermines the original focus of social and political equality, pandering instead to capitalism and failing to rectify unjust institutions and policies. (...)
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  9. The Role of AI in Enhancing Business Decision-Making: Innovations and Implications.Faten Y. A. Abu Samara, Aya Helmi Abu Taha, Nawal Maher Massa, Tanseen N. Abu Jamie, Fadi E. S. Harara, Bassem S. Abu-Nasser & Samy S. Abu-Naser - 2024 - International Journal of Academic Pedagogical Research (IJAPR) 8 (9):8-15.
    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 (...)
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  10. Does Person-Job Fit among Nurses Really Matters? An Empirical Study: Effect of P-J Fit on Job Outcomes of Nurses of Pakistan with Agreeableness as a Moderator.Mahwish Sikander & Nadia Batool - 2021 - International Journal of Business and Economic Affairs (IJBEA) 6 (1):24-36.
    The purpose of this study is to find out that whether the jobs of nurses in Pakistan are fulfilling their necessary requirements or not. This issue is being analyzed by the relation of Person-Job (P-J) Fit with three different JobBehaviors and the whole relation is being tested under the moderation of Agreeableness, which is a personality trait of the Big5 Model. A survey method is deployed, questionnaires are used to obtain data. 120 Nurses were accessed from different hospitals of Islamabad/Rawalpindi. (...)
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  11. Revolutionizing Drug Discovery: The Role of Artificial Intelligence in Accelerating Pharmaceutical Innovation".Alaa Soliman Abu Mettleq, Alaa N. Akkila, Mohammed A. Alkahlout, Suheir H. A. ALmurshidi, Bassem S. Abu-Nasser & Samy S. Abu-Naser - 2024 - Information Journal of Academic Engineering Research (Ijaer) 8 (10):45-53.
    Abstract: The integration of artificial intelligence (AI) into drug discovery is revolutionizing the pharmaceutical industry by accelerating the development of novel therapeutics. AI-powered tools enable researchers to process vast datasets, identify drug candidates, and predict their efficacy and safety with unprecedented speed and accuracy. This paper explores the transformative impact of AI on drug discovery, highlighting key advancements in machine learning algorithms, deep learning, and predictive modeling. Additionally, it addresses the challenges associated with AI implementation, including data quality, regulatory hurdles, (...)
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  12. Classification of Sign-Language Using MobileNet - Deep Learning.Tanseem N. Abu-Jamie & Samy S. Abu-Naser - 2022 - International Journal of Academic Information Systems Research (IJAISR) 6 (7):29-40.
    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 (...)
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  13. Streamlined Book Rating Prediction with Neural Networks.Lana Aarra, Mohammed S. Abu Nasser, Mohammed A. Hasaballah & Samy S. Abu-Naser - 2023 - International Journal of Engineering and Information Systems (IJEAIS) 7 (10):7-13.
    Abstract: Online book review platforms generate vast user data, making accurate rating prediction crucial for personalized recommendations. This research explores neural networks as simple models for predicting book ratings without complex algorithms. Our novel approach uses neural networks to predict ratings solely from user-book interactions, eliminating manual feature engineering. The model processes data, learns patterns, and predicts ratings. We discuss data preprocessing, neural network design, and training techniques. Real-world data experiments show the model's effectiveness, surpassing traditional methods. This research can (...)
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  14. I didn’t Leave Inceldom; Inceldom Left me”: Examining Male Ex-Incel Navigations of Complex Masculinities Identity Rebuilding Following Rejection of Incel-Culture.Nicholas Norman Adams & David S. Smith - 2025 - Deviant Behavior.
    This study explores experiences of ex-incels—men who have withdrawn from incel communities—through eleven qualitative interviews analysed using R.W. Connell’s hegemonic masculinity (HM) framework. Findings reveal some ex-incels adopt flexible masculinities, while others struggle with prescriptive norms perpetuated by the anti-feminist ‘manosphere’. Findings spotlight identity reconstructions, where men both reject and remain influenced by rigid archetypes, performing hybrid masculinities. This study deepens understanding of incel ideology, its impact on identity, and interplay between inceldom and masculinities via contributing to hybrid masculinities theorising. (...)
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  15. Predicting Audit Risk Using Neural Networks: An In-depth Analysis.Dana O. Abu-Mehsen, Mohammed S. Abu Nasser, Mohammed A. Hasaballah & Samy S. Abu-Naser - 2023 - International Journal of Academic Information Systems Research (IJAISR) 7 (10):48-56.
    Abstract: This research paper presents a novel approach to predict audit risks using a neural network model. The dataset used for this study was obtained from Kaggle and comprises 774 samples with 18 features, including Sector_score, PARA_A, SCORE_A, PARA_B, SCORE_B, TOTAL, numbers, marks, Money_Value, District, Loss, Loss_SCORE, History, History_score, score, and Risk. The proposed neural network architecture consists of three layers, including one input layer, one hidden layer, and one output layer. The neural network model was trained and validated, achieving (...)
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  16. Classification of Sign-language Using VGG16.Tanseem N. Abu-Jamie & Samy S. Abu-Naser - 2022 - International Journal of Academic Engineering Research (IJAER) 6 (6):36-46.
    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 (...)
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  17. Google Stock Price Prediction Using Just Neural Network.Mohammed Mkhaimar AbuSada, Ahmed Mohammed Ulian & Samy S. Abu-Naser - 2023 - International Journal of Academic Engineering Research (IJAER) 7 (10):10-16.
    Abstract: The aim behind analyzing Google Stock Prices dataset is to get a fair idea about the relationships between the multiple attributes a day might have, such as: the opening price for each day, the volume of trading for each day. With over a hundred thousand days of trading data, there are some patterns that can help in predicting the future prices. We proposed an Artificial Neural Network (ANN) model for predicting the closing prices for future days. The prediction is (...)
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  18. Classification of Sign-Language Using Deep Learning - A Comparison between Inception and Xception models.Tanseem N. Abu-Jamie & Samy S. Abu-Naser - 2022 - International Journal of Academic Engineering Research (IJAER) 6 (8):9-19.
    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 (...)
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  19. Classification of Sign-Language Using Deep Learning by ResNet.Tanseem N. Abu-Jamie & Samy S. Abu-Naser - 2022 - International Journal of Academic Information Systems Research (IJAISR) 6 (8):25-34.
    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. (...)
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  20. ITSB: An Intelligent Tutoring System Authoring Tool.Samy S. Abu Naser - 2016 - Journal of Scientific and Engineering Research 3 (5):63-71.
    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 (...)
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  21. The Moderating Effect of Social Media Usage on the Relationship between the Perceived Value of the Websites and Motivational Factors on Sustainable Travel Agents.Mohanad Abumandil, Tareq Obaid, Athifah Najwani, Siti Salina Saidin & Samy S. Abu-Naser - 2023 - International Journal of Academic Engineering Research (IJAER) 7 (7):9-17.
    As sustainable tourism gains increasing attention, understanding the factors that influence travelers' motivation to engage with sustainable travel agents becomes crucial. This study investigates the moderating effect of social media usage on the relationship between the perceived value of websites and motivational factors for sustainable travel agents. The study proposes that social media usage acts as a moderator in shaping the relationship between the perceived value of websites and motivational factors. This study has utilized smart tourism. Therefore, independent variable motivation (...)
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  22. Rule Based System for Diagnosing Wireless Connection Problems Using SL5 Object.Samy S. Abu Naser, Wadee W. Alamawi & Mostafa F. Alfarra - 2016 - International Journal of Information Technology and Electrical Engineering 5 (6):26-33.
    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 (...)
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  23. Trends of Palestinian Higher Educational Institutions in Gaza Strip as Learning Organizations.Samy S. Abu Naser, Mazen J. Al Shobaki, Youssef M. Abu Amuna & Amal A. Al Hila - 2017 - International Journal of Digital Publication Technology 1 (1):1-42.
    The research aims to identify the trends of Palestinian higher educational institutions in Gaza Strip as learning organizations from the perspective of senior management in the Palestinian universities in Gaza Strip. The researchers used descriptive analytical approach and used the questionnaire as a tool for information gathering. The questionnaires were distributed to senior management in the Palestinian universities. The study population reached (344) employees in senior management is dispersed over (3) Palestinian universities. A stratified random sample of (182) employees from (...)
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  24.  43
    AI Regulation and Governance.Mohammed M. Abu-Saqer, Sabreen R. Qwaider, Islam Albatish, Azmi H. Alsaqqa, Bassem S. Abu-Nasser & Samy S. Abu-Naser - forthcoming - Information Journal of Engineering Research (Ijaer).
    Abstract: As artificial intelligence (AI) technologies rapidly evolve and permeate various aspects of society, the need for effective regulation and governance has become increasingly critical. This paper explores the current landscape of AI regulation, examining existing frameworks and their efficacy in addressing the unique challenges posed by AI. Key issues such as ensuring compliance, mitigating biases, and maintaining transparency are analyzed. The paper also delves into ethical considerations surrounding AI governance, emphasizing the importance of fairness and accountability. Through case studies (...)
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  25. E-Learning Strategies in Developing Research Performance Efficiency: Higher Education Institutions.Samia A. M. Abdalmenem, Samer M. Arqawi, Youssef M. Abu Amuna, Samy S. Abu Naser & Mazen J. Al Shobaki - 2019 - International Journal of Academic Pedagogical Research (IJAPR) 3 (9):8-19.
    The study aimed to identify E- Learning strategies and their relation to the efficiency of research performance in foreign and Palestinian universities (University of Ottawa, Munster, Suez Canal, Al-Azhar, Islamic, Al-Aqsa). The analytical descriptive approach was used for this purpose, and relying on the questionnaire as a main tool for data collection. The study society is from the senior management, where the number of senior management in the universities in question is 206. The random stratified sample was selected and (SPSS) (...)
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  26. Dilthey and Carnap: The Feeling of Life, the Scientific Worldview, and the Elimination of Metaphysics.Eric S. Nelson - 2018 - In Johannes Feichtinger, Franz L. Fillafer & Jan Surman, The Worlds of Positivism: A Global Intellectual History, 1770–1930. Palgrave.
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  27. Predictive Modeling of Breast Cancer Diagnosis Using Neural Networks:A Kaggle Dataset Analysis.Anas Bachir Abu Sultan & Samy S. Abu-Naser - 2023 - International Journal of Academic Engineering Research (IJAER) 7 (9):1-9.
    Breast cancer remains a significant health concern worldwide, necessitating the development of effective diagnostic tools. In this study, we employ a neural network-based approach to analyze the Wisconsin Breast Cancer dataset, sourced from Kaggle, comprising 570 samples and 30 features. Our proposed model features six layers (1 input, 1 hidden, 1 output), and through rigorous training and validation, we achieve a remarkable accuracy rate of 99.57% and an average error of 0.000170 as shown in the image below. Furthermore, our investigation (...)
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  28. (1 other version)The Human and the Inhuman: Ethics and Religion in the zhuangzi.Eric S. Nelson - 2014 - Journal of Chinese Philosophy 41 (S1):723-739.
    One critique of the early Daoist texts associated with Laozi and Zhuangzi is that they neglect the human and lack a proper sense of ethical personhood in maintaining the primacy of an impersonal dehumanizing “way.” This article offers a reconsideration of the appropriateness of such negative evaluations by exploring whether and to what extent the ethical sensibility unfolded in the Zhuangzi is aporetic, naturalistic, and/or religious. As an ethos of cultivating life and free and easy wandering by performatively enacting openness (...)
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  29. Prisoner's Dilemma.S. M. Amadae - 2015 - In Prisoners of Reason: Game Theory and Neoliberal Political Economy. New York: Cambridge University Press. pp. 24-61.
    As these opening quotes acknowledge, the Prisoner’s Dilemma (PD) represents a core puzzle within the formal mathematics of game theory.3 Its rise in conspicuity is evident figure 2.1 above demonstrating a relatively steady rise in incidences of the phrase’s usage between 1960 to 1995, with a stable presence persisting into the twenty first century. This famous two-person “game,” with a stock narrative cast in terms of two prisoners who each independently must choose whether to remain silent or speak, each advancing (...)
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  30. Web page phishing detection Using Neural Network.Ahmed Salama Abu Zaiter & Samy S. Abu-Naser - 2023 - International Journal of Engineering and Information Systems (IJEAIS) 7 (9):1-13.
    Web page phishing is a type of phishing attack that targets websites. In a web page phishing attack, the attacker creates a fake website that looks like a legitimate website, such as a bank or credit card company website. The attacker then sends a fraudulent message to the victim, which contains a link to the fake website. When the victim clicks on the link, they are taken to the fake website and tricked into entering their personal information.Web page phishing attacks (...)
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  31. An expert system for nausea and vomiting problems in infants and children.Samy S. Abu Naser & Abed ELhaleem A. El-Najjar - 2016 - International Journal of Medicine Research 1 (2):114--117.
    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 (...)
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  32. Global factors which influence the directions of social development.Sergii Sardak & O. Bilskaya S. Sardak, M. Korneyev, A. Simakhova - 2017 - Problems and Perspectives in Management 15 (3):323 – 333.
    This study identifies global factors conditioning the global problematics of the direction of social development. Global threats were evaluated and defined as dangerous processes, phenomena, and situations that cause harm to health, safety, well-being, and the lives of all humanity, and require removal. The essence of global risks was defined. These risks were defined as events or conditions that may cause a significant negative effect for several countries or spheres within a strategic period if they occur. Global problems were conceptualized. (...)
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  33. Predicting the Number of Calories in a Dish Using Just Neural Network.Sulafa Yhaya Abu Qamar, Shahed Nahed Alajjouri, Shurooq Hesham Abu Okal & Samy S. Abu-Naser - 2023 - International Journal of Academic Information Systems Research (IJAISR) 7 (10):1-9.
    Abstract: Heart attacks, or myocardial infarctions, are a leading cause of mortality worldwide. Early prediction and accurate analysis of potential risk factors play a crucial role in preventing heart attacks and improving patient outcomes. In this study, we conduct a comprehensive review of datasets related to heart attack analysis and prediction. We begin by examining the various types of datasets available for heart attack research, encompassing clinical, demographic, and physiological data. These datasets originate from diverse sources, including hospitals, research institutions, (...)
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  34. Global innovations in tourism.Sergii Sardak & A. Samoilenko S. Sardak, V. Dzhyndzhoian - 2016 - Innovative Marketing 12 (3):45 – 50.
    The article is devoted to the increasing role of tourism in the world economy. The dynamics of international tourism indicators is investigated. The main global innovations in the tourism industry are identified: the growth of tourism types; the application of qualitatively new solutions of scientific and methodological and applied character; growing of tourism influence on the society; the existence of synergistic effect in the tourist industry as a result of combination of subjects efforts at all management levels; changing of the (...)
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  35. Psychopathy and the DSM-IV criteria for antisocial personality disorder.Robert Hare, S. D. Hart & T. J. Harpur - 1991 - Journal of Abnormal Psychology 100: 391–398.
    The Axis II Work Group of the Task Force on Diagnostic and Statistical Manual of Mental Disorders (DSM-IV) has expressed concern that antisocial personality disorder (APD) criteria are too long and cumbersome and that they focus on antisocial behaviors rather than personality traits central to traditional conceptions of psychopathy and to international criteria. R. D. Hare et al describe an alternative to the approach taken in the DSM-III—Revised (DSM-III—R; American Psychiatric Association, 1987), namely, the revised Psychopathy Checklist. The authors also (...)
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  36. The Reality of Applying the Balanced Scorecard in the Egyptian Ceramic Companies.AbdElaal AbdAllah AbdElaal, Mazen J. Al Shobaki, Samy S. Abu-Naser & Suliman A. El Talla - 2021 - International Journal of Academic Management Science Research (IJAMSR) 5 (10):128-140.
    The study aimed to identify the level of organizational performance in ceramic companies in the Tenth of Ramadan City, where the researchers used the descriptive analytical method, through a questionnaire distributed. The study reached a set of results, the most important of which are: the presence of a clear consensus of the study sample from the members of the senior management that all dimensions of the balanced scorecard variable are largely present in the ceramic companies under study, and the results (...)
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  37. An expert system for feeding problems in infants and children.Samy S. Abu Naser & Mariam W. Alawar - 2016 - International Journal of Medicine Research 1 (2):79--82.
    A lot of infants have significant food-related problems, as well as spitting up, rejecting new foods, or not accepting to eat at specific times. These issues are frequently ordinary and are not a sign that the baby is unwell. According to the National Institutes of Health, 25% of generally developing infants and 35% of babies with neurodevelopmental disabilities are tormented by some sort of feeding problem. Some, for example rejecting to eat specific foods or being overly finicky, are momentary and (...)
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  38. A Proposed Expert System for Diagnosis of Migraine.Malak S. Hammad, Raja E. N. Altarazi, Rawan N. Al Banna, Dina F. Al Borno & Samy S. Abu-Naser - 2023 - International Journal of Academic Engineering Research (IJAER) 7 (6):1-8.
    Migraine is a complex neurological disorder characterized by recurrent moderate to severe headaches, accompanied by additional symptoms such as nausea, sensitivity to light and sound, and visual disturbances. Accurate and timely diagnosis of migraines is crucial for effective management and treatment. However, the diverse range of symptoms and overlapping characteristics with other headache disorders pose challenges in the diagnostic process. In this research, we propose the development of an expert system for migraine diagnosis using artificial intelligence and the CLIPS (C (...)
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  39. An Expert System for Men Genital Problems Diagnosis and Treatment.Samy S. Abu-Naser & Mones M. Al-Hanjori - 2016 - International Journal of Medicine Research 1.
    Male genital problems and injuries may occur quite simply because of the scrotum and penis are not protected like other organs. Genital problems and injuries normally happen through: recreational activities (like Football, Hooky, biking, basketball), work- related tasks (like contact to irritating chemicals), downhill drop, and sexual activity. A genital injury frequently causes harsh pain that typically disappear fast without causing enduring harm. Home handling is generally all that is required for trivial problems or injuries. Pain, inflammation, staining, or rashes (...)
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  40. Knowledge-based systems that determine the appropriate students major: In the faculty of engineering and information technology.Samy S. Abu Naser & Ihab S. Zaqout - 2016 - World Wide Journal of Multidisciplinary Research and Development 2 (10):26-34.
    In this paper a Knowledge-Based System (KBS) for determining the appropriate students major according to his/her preferences for sophomore student enrolled in the Faculty of Engineering and Information Technology in Al-Azhar University of Gaza was developed and tested. A set of predefined criterions that is taken into consideration before a sophomore student can select a major is outlined. Such criterion as high school score, score of subject such as Math I, Math II, Electrical Circuit I, and Electronics I taken during (...)
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  41. Why we should talk about option generation in decision-making research.A. Kalis, S. Kaiser & A. Mojzisch - 2013 - Frontiers in Psychology 4:1-8.
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  42. Smart Healthy Age-Friendly Environments (SHAFE) Bridging Innovation to Health Promotion and Health Service Provision.Vincenzo de Luca, Hannah Marston, Leonardo Angelini, Nadia Militeva, Andrzej Klimczuk, Carlo Fabian, Patrizia Papitto, Joana Bernardo, Filipa Ventura, Rosa Silva, Erminia Attaianese, Nilufer Korkmaz, Lorenzo Mercurio, Antonio Maria Rinaldi, Maurizio Gentile, Renato Polverino, Kenneth Bone, Willeke van Staalduinen, Joao Apostolo, Carina Dantas & Maddalena Illario - 2023 - In Andrzej Klimczuk, Intergenerational Relations: Contemporary Theories, Studies, and Policies. London: IntechOpen. pp. 201–226.
    A number of experiences have demonstrated how digital solutions are effective in improving quality of life (QoL) and health outcomes for older adults. Smart Health Age-Friendly Environments (SHAFE) is a new concept introduced in Europe since 2017 that combines the concept of Age-Friendly Environments with Information Technologies, supported by health and community care to improve the health and disease management of older adults and during the life-course. This chapter aims to provide an initial overview of the experiences available not only (...)
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  43. An expert system for men genital problems diagnosis and treatment.Samy S. Abu Naser & Mones M. Al-Hanjori - 2016 - International Journal of Medicine Research 1 (2):83--86.
    Male genital problems and injuries may occur quite simply because of the scrotum and penis are not protected like other organs. Genital problems and injuries normally happen through: recreational activities (like Football, Hooky, biking, basketball), workrelated tasks (like contact to irritating chemicals), downhill drop, and sexual activity. A genital injury frequently causes harsh pain that typically disappear fast without causing enduring harm. Home handling is generally all that is required for trivial problems or injuries. Pain, inflammation, staining, or rashes that (...)
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  44. Climate Change temperature Prediction Using Just Neural Network.Saja Kh Abu Safiah & Samy S. Abu-Naser - 2023 - International Journal of Academic Engineering Research (IJAER) 7 (9):35-45.
    Climate change temperature prediction plays a crucial role in effective environmental planning. This study introduces an innovative approach that harnesses the power of Artificial Neural Networks (ANNs) within the Just Neural Network (JustNN) framework to enhance temperature forecasting in the context of climate change. By leveraging historical climate data, our model achieves exceptional accuracy, redefining the landscape of temperature prediction without intricate preprocessing. This model sets a new standard for precise temperature forecasting in the context of climate change. Moreover, our (...)
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  45. SHS Students’ Engagement in Online Synchronous Collaborative Learning Activities: Correlations with Self-efficacy, Peer Social Support, Well-being and Academic Performance.Trisha Mae M. Afable, Jilian Casandra D. Lamberto, Trixia Anne Nicole P. Ng, Ashley Nicole S. Umandap & Myla M. Arcinas - 2022 - International Journal of Multidisciplinary: Applied Business and Education Research 3 (6):1128-1138.
    The pandemic of COVID-19 prompted several paradigm shifts throughout society, including in education. This study aimed to examine the relationships of students' engagement in online synchronous collaborative learning activities (OSCLA) with their self-efficacy (LSE), peer social support (LPSS), state of well-being (SWB), and level of academic performance (LAP). A total of 176 Filipino Grade 12 SHS students, 18 years old and older, from a private educational institution were purposively selected for this study. Data were generated using an online survey. Results (...)
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  46. (1 other version)Introduction.Dana S. Belu, Sylvia Burrow & Elizabeth Soliday - 2012 - Techné: Research in Philosophy and Technology 16 (1):1-2.
    Following decades of maltreatment of women in obstetric care, professional respect for maternal autonomy in obstetric decision making and care have become codified in global and national professional ethical guidelines. Yet, using the example of birth after cesarean, identifiable threats to maternal autonomy in obstetrics continue. This paper focuses on how current scientific knowledge and obstetric practice patterns factor into restricted maternal autonomy as evidenced in three representative maternal accounts obtained prior and subsequent to birth after cesarean. Short- and long-term (...)
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  47. Forecasting Stock Prices using Artificial Neural Network.Ahmed Munther Abdel Hadi & Samy S. Abu-Naser - 2023 - International Journal of Engineering and Information Systems (IJEAIS) 7 (10):42-50.
    Abstract: Accurate stock price prediction is essential for informed investment decisions and financial planning. In this research, we introduce an innovative approach to forecast stock prices using an Artificial Neural Network (ANN). Our dataset, consisting of 5582 samples and 6 features, including historical price data and technical indicators, was sourced from Yahoo Finance. The proposed ANN model, composed of four layers (1 input, 1 hidden, 1 output), underwent rigorous training and validation, yielding remarkable results with an accuracy of 99.84% and (...)
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  48. Analyzing the Relationship between Smoking and Drinking Patterns Using Neural Networks: A Comprehensive Feature-Based Approach.Ahmed Samir Abu Al-Hussein, Mona Ayman Abu Aisha, Iman Nahed Saeed Ahleel & Samy S. Abu-Naser - 2023 - International Journal of Academic Engineering Research (IJAER) 7 (9):18-25.
    This study employs a neural network to analyze the connection between smoking, drinking, and various health-related factors using a dataset of 5148 samples. Achieving an impressive 99.94% accuracy and an average training error of 0.0016, the model identifies influential factors such as serum aminotransferases, serum creatinine, sex, weight, and triglyceride levels. These findings enhance our understanding of lifestyle choices and their impact on health. This research underscores the potential of machine learning in studying complex health phenomena.
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  49. Artificial Neural Network Heart Failure Prediction Using JNN.Khaled M. Abu Al-Jalil & Samy S. Abu-Naser - 2023 - International Journal of Academic Engineering Research (IJAER) 7 (9):26-34.
    Heart failure 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 918 samples with 11 features, such as age, sex, chest pain type, resting blood pressure, cholesterol, fasting blood sugar, resting electrocardiogram results, maximum heart rate achieved, exercise-induced angina, oldpeak, ST_Slope, and HeartDisease. A neural (...)
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  50. Business Environment of Enterprise.Sergii Sardak & Movchanenko I. Sardak S. - 2018 - In Sergii Sardak & Movchanenko I. Sardak S., Imperatives of development of civil society in promoting national competitiveness – 2018: 1st International Scientific and Practical Conference. pp. 108-109.
    Summing up, we note that the business environment has high dynamism, information uncertainty and unpredictability of events and results of their activities, which requires a revision of traditional approaches to the formation of competitive strategies and management in the global economic space.
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