Results for 'K. S. Steinsbekk'

977 found
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  1.  96
    Optimized Cloud Computing Solutions for Cardiovascular Disease Prediction Using Advanced Machine Learning.Kannan K. S. - 2024 - Journal of Science Technology and Research (JSTAR) 5 (1):465-480.
    The world's leading cause of morbidity and death is cardiovascular diseases (CVD), which makes early detection essential for successful treatments. This study investigates how optimization techniques can be used with machine learning (ML) algorithms to forecast cardiovascular illnesses more accurately. ML models can evaluate enormous datasets by utilizing data-driven techniques, finding trends and risk factors that conventional methods can miss. In order to increase prediction accuracy, this study focuses on adopting different machine learning algorithms, including Decision Trees, Random Forest, Support (...)
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  2.  98
    Hybrid Cloud-Machine Learning Framework for Efficient Cardiovascular Disease Risk Prediction and Treatment Planning.Kannan K. S. - 2024 - Journal of Science Technology and Research (JSTAR) 5 (1):460-480.
    Data preparation, feature engineering, model training, and performance evaluation are all part of the study methodology. To ensure reliable and broadly applicable models, we utilize optimization techniques like Grid Search and Genetic Algorithms to precisely adjust model parameters. Features including age, blood pressure, cholesterol levels, and lifestyle choices are employed as inputs for the machine learning models in the dataset, which consists of patient medical information. The predictive capacity of the model is evaluated using evaluation measures, such as accuracy, precision, (...)
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  3.  97
    Cloud-Enabled Risk Management of Cardiovascular Diseases Using Optimized Predictive Machine Learning Models.Kannan K. S. - 2024 - Journal of Science Technology and Research (JSTAR) 5 (1):460-475.
    Data preparation, feature engineering, model training, and performance evaluation are all part of the study methodology. To ensure reliable and broadly applicable models, we utilize optimization techniques like Grid Search and Genetic Algorithms to precisely adjust model parameters. Features including age, blood pressure, cholesterol levels, and lifestyle choices are employed as inputs for the machine learning models in the dataset, which consists of patient medical information. The predictive capacity of the model is evaluated using evaluation measures, such as accuracy, precision, (...)
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  4. Epistemology, Political Perils and the Ethnocentrism Problem in Feminism.Oda K. S. Davanger - 2022 - Open Philosophy 5 (1):551-569.
    Nobody claims to be a proponent of white feminism, but according to the critique presented in this article, many in fact are. I argue that feminism that does not take multiple axes of oppression into account is bad in three ways: it strategically undermines solidarity between women; it risks inconsistency by advocating justice and equality for some women but not all; and it impedes the ultimate function of feminism function by employing epistemological “master’s tools” that stand in antithesis to feminist (...)
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  5. Manas (Mind) Structure: Exposing the Mysterious Functional Anatomy in the Indian System of Medical Philosophy.M. K. S. Chauhan - 2024 - Philosophy International Journal 7 (2):1-6. Translated by MKS Chauhan.
    The mind is not structured anatomically, as emphasized by modern pathology. Instead, it is expanded as a whole in a subtle form behind the physical body. In the Indian system of medical philosophy, the mind is considered as the astral nerves made third body, which identified as the ‘Manomaya-sharira’ (subconscious mind). The mind is composed of millions of astralnadis, through which Pranic-energies circulate freely into the astral anatomy of mind. Seven-chakras are found parallel to the spine, serving as the major (...)
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  6. Emily Thomas (red.): Early Modern Women on Metaphysics.Oda K. S. Davanger - 2018 - Norsk Filosofisk Tidsskrift 53 (2-3):171-175.
    På mange måter er dette en bok som blir utgitt alt for sent. Det er den første antologien av sitt slag, og retter fokus på kvinnelige metafysikere som virket i den tidlige moderne perioden (16. og tidlig 17. århundre). Redaktør Emily Thomas skriver i introduksjonen at til tross for at flere antologier om moderne metafysikk allerede finnes, er kvinnelige filosofer fortsatt underrepresentert og den filosofiske kanon mannsdominert. De ni filosofene som blir omtalt i totalt 13 kapitler var alle originale og (...)
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  7. Emancipatory Engagement with Oppression : The Perils of Identity in Feminist and Anti-Racist Politics.Oda K. S. Davanger - 2023 - In Synne Myrebøe, Valgerður Pálmadóttir & Johanna Sjöstedt, Feminist Philosophy: Time, History and the Transformation of Thought. Södertörn University. pp. 273-295.
    In the chapter “Emancipatory Engagement with Oppression: The Perils of Identity in Feminist and Anti-Racist Politics” Oda Davanger argues against basing emancipatory struggles on identity categories. According to Davanger, conceptualizing oppression in terms of different axes, i.e. identity categories, can be harmful to feminist philosophy and ideology since it contri- butes to upholding whiteness and maleness as norms and there- fore fails to “dismantle the system of domination”. In opposition to different versions of identity politics and the analytical and political (...)
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  8.  22
    Advanced Face Mask Detection using Machine Learning.Snakha S. S. Gowri S. Shri Lakshitha K. S. - 2021 - International Journal of Innovative Research in Computer and Communication Engineering 9 (3):792-796.
    COVID-19 pandemic caused by novel coronavirus is continuously spreading until now all over the world. The impact of COVID-19 has fallen on almost all sectors of development. The healthcare system is going through a crisis. Many precautionary measures have been taken to reduce the spread of this disease where wearing a mask is one of them. In this paper, we propose a system that restricts the growth of COVID-19 by finding out people who are not wearing any facial mask in (...)
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  9. Knowledge Based System for Diagnosing Custard Apple Diseases and Treatment.Mustafa M. K. Al-Ghoul, Mohammed H. S. Abueleiwa, Fadi E. S. Harara, Samir Okasha & Samy S. Abu-Naser - 2022 - International Journal of Academic Engineering Research (IJAER) 6 (5):41-45.
    There is no doubt that custard apple diseases are among the important reasons that destroy the Custard Apple plant and its agricultural crops. This leads to obvious damage to these plants and they become inedible. Discovering these diseases is a good step to provide the appropriate and correct treatment. Determining the treatment with high accuracy depends on the method used to correctly diagnose the disease, expert systems can greatly help in avoiding damage to these plants. The expert system correctly diagnoses (...)
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  10. Rule Based System for Diagnosing Bean Diseases and Treatment.Mohammed H. S. Abueleiwa, Fadi E. S. Harara, Mustafa M. K. Al-Ghoul, Sami M. Okasha & Samy S. Abu-Naser - 2022 - International Journal of Engineering and Information Systems (IJEAIS) 6 (5):67-74.
    Background: A bean is the seed of one of several genera of the flowering plant family Fabaceae, which are used as vegetables for human or animal food. They can be cooked in many different ways, including boiling, frying, and baking, and are used in many traditional dishes throughout the world. Beans are one of the longest-cultivated plants. Broad beans, also called fava beans, in their wild state the size of a small fingernail, were gathered in Afghanistan and the Himalayan foothills. (...)
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  11. Dimensions of Animal Consciousness.Jonathan Birch, Alexandra K. Schnell & Nicola S. Clayton - 2020 - Trends in Cognitive Sciences 24 (10):789-801.
    How does consciousness vary across the animal kingdom? Are some animals ‘more conscious’ than others? This article presents a multidimensional framework for understanding interspecies variation in states of consciousness. The framework distinguishes five key dimensions of variation: perceptual richness, evaluative richness, integration at a time, integration across time, and self-consciousness. For each dimension, existing experiments that bear on it are reviewed and future experiments are suggested. By assessing a given species against each dimension, we can construct a consciousness profile for (...)
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  12.  71
    Compositional depths of cognitive semantics: bridging perceptual experiences and conceptual structures.K. Pala, Vasudevan Nedumpozhimana & S. Shalu - 2025 - Front. Psychol 16.
    The primary aim of this research was to investigate the intricate relationship between the structural elements of experiences and their essential role in meaning formation. The analysis focused on understanding the nature of mental representations and the subjective, phenomenal qualities that emerge within experiences. To achieve this, an integrated approach, combining cognitive semantics with phenomenological analysis, was employed to examine the compositional complexities of the dynamic interaction between a priori and immediate experiences and their significance in meaning formation. The study (...)
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  13. Advancements in AI for Medical Imaging: Transforming Diagnosis and Treatment.Zakaria K. D. Alkayyali, Ashraf M. H. Taha, Qasem M. M. Zarandah, Bassem S. Abunasser, Alaa M. Barhoom & Samy S. Abu-Naser - 2024 - International Journal of Academic Engineering Research(Ijaer) 8 (8):8-15.
    Abstract: The integration of Artificial Intelligence (AI) into medical imaging represents a transformative shift in healthcare, offering significant improvements in diagnostic accuracy, efficiency, and patient outcomes. This paper explores the application of AI technologies in the analysis of medical images, focusing on techniques such as convolutional neural networks (CNNs) and deep learning models. We discuss how these technologies are applied to various imaging modalities, including X-rays, MRIs, and CT scans, to enhance disease detection, image segmentation, and diagnostic support. Additionally, the (...)
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  14. Impact of Covid-19 Pandemic on Environment and Biodiversity.S. K. Srivastava & Mukul Sinha - 2021 - In Verma, COVID-19 SECOND WAVE: CHALLENGES FOR SUSTAINABLE DEVELOPMENT. Prayagraj: ABRF. pp. 122-125.
    The ongoing pandemic caused by COVID-19 virus has paralysed 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.
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  15. An Intelligent Tutoring System for Learning Introduction to Computer Science.Ahmad Marouf, Mohammed K. Abu Yousef, Mohammed N. Mukhaimer & Samy S. Abu-Naser - 2018 - International Journal of Academic Multidisciplinary Research (IJAMR) 2 (2):1-8.
    The paper describes the design of an intelligent tutoring system for teaching Introduction to Computer Science-a compulsory curriculum in Al-Azhar University of Gaza to students who attend the university. The basic idea of this system is a systematic introduction into computer science. The system presents topics with examples. The system is dynamically checks student's individual progress. An initial evaluation study was done to investigate the effect of using the intelligent tutoring system on the performance of students enrolled in computer science (...)
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  16.  10
    Strengthened File Auditing Framework for Cloud Servers with Secure Download Key Notifications.DrS. Subha Shree Ajinthan S., Arun Bharathi N., Vel Kumar K. - 2024 - International Journal of Innovative Research in Science, Engineering and Technology 13 (4):3328-3333.
    Securing sensitive files stored on cloud servers presents a paramount challenge in today's digital landscape, demanding a robust file auditing mechanism that transcends traditional methods. This paper introduces an innovative approach to file auditing in cloud environments, distinguished by the integration of secure download key notifications with login processes. Unlike conventional file auditing techniques that primarily focus on monitoring file activities, this proposed solution recognizes the critical need for securely tracking file downloads. To address this gap, we present a sophisticated (...)
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  17. Synthetic Health Data: Real Ethical Promise and Peril.Daniel Susser, Daniel S. Schiff, Sara Gerke, Laura Y. Cabrera, I. Glenn Cohen, Megan Doerr, Jordan Harrod, Kristin Kostick-Quenet, Jasmine McNealy, Michelle N. Meyer, W. Nicholson Price & Jennifer K. Wagner - 2024 - Hastings Center Report 54 (5):8-13.
    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 (...)
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  18. The Neutrosophic Statistical Distribution- More Problems, More Solutions.S. K. Patro & Florentin Smarandache - 2016 - Neutrosophic Sets and Systems 12:73-79.
    In this paper , the authors explore neutrosophic statistics, that was initiated by Florentin Smarandache in 1998 and developed in 2014, by presenting various examples of several statistical distributions, from the work [1]. The paper is presented with more case studies, by means of which this neutrosophic version of statistical distribution becomes more pronounced.
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  19. Hegel as publicist.K. Rosenkranz & G. S. Hall - 1872 - Journal of Speculative Philosophy 6 (3):258 - 279.
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  20. ARTIFICIAL INTELLIGENT BASED COMPUTATIONAL MODEL FOR DETECTING CHRONIC-KIDNEY DISEASE.K. Jothimani & S. Thangamani - 2022 - Journal of Science Technology and Research (JSTAR) 3 (1):15-27.
    Chronic kidney disease (CKD) is a global health problem with high morbidity and mortality rate, and it induces other diseases. There are no obvious incidental effects during the starting periods of CKD, patients routinely disregard to see the sickness. Early disclosure of CKD enables patients to seek helpful treatment to improve the development of this disease. AI models can effectively assist clinical with achieving this objective on account of their fast and exact affirmation execution. In this appraisal, proposed a Logistic (...)
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  21. Plankton diversity and density in Pandey Taal of Gonda district, Uttar Pradesh, India.S. K. Srivastava - 2020 - International Journal of Applied Research 6 (12):453-455.
    The importance of the plankton is well recognized as these have vital part in food chain and play a key role in cycling of organic matter in the aquatic ecosystem. The inadequate knowledge of plankton and their dynamics is a major drawback for the better understanding of the life process of fresh water bodies. In the present investigation, total 23 species of phytoplankton and 22 species of zooplankton were also recorded. Bimodal pattern of seasonal variation of plankton was observed with (...)
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  22. Predicting Whether Student will continue to Attend College or not using Deep Learning.Samy S. Abu-Naser, Qasem M. M. Zarandah, Moshera M. Elgohary, Zakaria K. D. AlKayyali, Bassem S. Abu-Nasser & Ashraf M. Taha - 2022 - International Journal of Engineering and Information Systems (IJEAIS) 6 (6):33-45.
    According to the literature review, there is much room for improvement of college student retention. The aim of this research is to evaluate the possibility of using deep and machine learning algorithms to predict whether students continue to attend college or will stop attending college. In this research a feature assessment is done on the dataset available from Kaggle depository. The performance of 20 learning supervised machine learning algorithms and one deep learning algorithm is evaluated. The algorithms are trained using (...)
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  23. Parkinson’s Disease Prediction Using Artificial Neural Network.Ramzi M. Sadek, Salah A. Mohammed, Abdul Rahman K. Abunbehan, Abdul Karim H. Abdul Ghattas, Majed R. Badawi, Mohamed N. Mortaja, Bassem S. Abu-Nasser & Samy S. Abu-Naser - 2019 - International Journal of Academic Health and Medical Research (IJAHMR) 3 (1):1-8.
    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 (...)
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  24. Regeneration of Hydra from aggregated cells.Alfred Gierer, S. Berking, H. Bode, C. N. David, K. Flick, G. Hansmann, H. Schaller & E. Trenkner - 1972 - Nature New Biology 239:98-101.
    • Aggregates of previously isolated cells of Hydra are capable, under suitable solvant conditions, of regeneration forming complete animals. In a first stage, ecto- and endodermal cells sort out, producing the bilayered hollow structure characteristic of Hydra tissue; thereafter, heads are formed (even if the original cell preparation contained no head cells), eventually leading to the separation of normal animals with head, body column and foot. Hydra appears to be the highest type of organism that allows for regeneration of the (...)
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  25. Strategic Sensitivity and Its Impact on Boosting the Creative Behavior of Palestinian NGOs.Hamdan K. Muhammad, El Talla A. Suliman, J. Shobaki Mazen & Samy S. Abu-Naser - 2020 - International Journal of Academic Accounting, Finance and Management Research (IJAAFMR) 4 (5):80-102.
    The study aimed to identify the strategic sensitivity and its impact on enhancing the creative behavior of Palestinian NGOs in Gaza Strip, and the study used the descriptive analytical approach and the questionnaire as a main tool for collecting data from employees of associations working in Gaza Strip governorates, and the cluster sample method was used and the sample size reached (343) individuals (298) questionnaires were retrieved, and the following results were reached: The relative weight of strategic sensitivity was 79.22 (...)
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  26. Creative Behavior and Impact on Achieving Lean Strategy in Organizations.K. Hamdan Muhammad, A. El Talla Suliman, Shobaki Mazen & Samy S. Abu-Naser - 2020 - International Journal of Academic Accounting, Finance and Management Research (IJAAFMR) 4 (6):66-88.
    The study aimed to identify creative behavior and its impact on achieving Lean strategy in Palestinian civil organizations. The study used the descriptive analytical approach and the questionnaire as a main tool for collecting data from employees of associations operating in the governorates of Gaza Strip. The cluster sample method was used and the sample size was (343) individuals. Retrieving (298) questionnaires, and the following results were reached: The relative weight of the measure of Lean strategy was 79.04 (%), and (...)
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  27. Anti-consumption: An overview and research agenda.M. S. W. Lee, K. V. Fernandez & M. R. Hyman - 2009 - Journal of Business Research 62 (2):145--147.
    This introduction to the Journal of Business Research special issue on anti-consumption briefly defines and highlights the importance of anticonsumption research, provides an overview of the latest studies in the area, and suggests an agenda for future research on anti-consumption.
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  28. The Reality of Applying Strategic Agility in Palestinian NGOs.K. Hamdan Muhammad, A. El Talla Suliman, J. Al Shobaki Mazen & Samy S. Abu-Naser - 2020 - International Journal of Academic Multidisciplinary Research (IJAMR) 4 (4):76-103.
    Abstract: The study aimed to identify the reality of the application of strategic agility in the Palestinian civil organizations in Gaza Strip, and the concept of strategic agility has included a number of areas which are (strategic sensitivity, clarity of vision, choice of strategic goals, rapid response, joint responsibility, taking actions, core capabilities) and the study used An analytical descriptive approach, and the questionnaire as a main tool for collecting data from the employees of the associations operating in the governorates (...)
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  29. Taking Action, Rapid Response and Its Role in Improving the Creative Behavior of Organizations.K. Hamdan Muhammad, A. El Talla Suliman, J. Al Shobaki Mazen & Samy S. Abu-Naser - 2020 - International Journal of Academic Accounting, Finance and Management Research (IJAAFMR) 4 (4):41-62.
    Abstract: The study aimed to identify the procedures and speed of response and their role in improving the creative behavior of Palestinian NGOs. The study used the descriptive analytical approach and the questionnaire as a main tool for collecting data from employees of associations operating in Gaza Strip governorates, and the cluster sample method was used and the sample size reached (343) individuals. (298) questionnaires were retrieved, and the following results were reached: The relative weight of the field of taking (...)
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  30. Creative Behavior in Palestinian NGOs between Reality and Expectations.K. Hamdan Muhammad, A. El Talla Suliman, J. Al Shobaki Mazen & Samy S. Abu-Naser - 2020 - International Journal of Academic Multidisciplinary Research (IJAMR) 4 (3):91-107.
    Abstract: The study aimed to identify the creative behavior in the Palestinian civil organizations between reality and expectations, and the study used the descriptive analytical approach and the questionnaire as a main tool for collecting data from employees of associations operating in the governorates of Gaza Strip, and the cluster sample method was used and the sample size was (343) individuals and has been recovered (298) Resolution. The following results were reached: The relative weight of the measure of creative behavior (...)
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  31. The Structured use of ML Technique in Creation of Powerful 7-D based Gaming Tools.K. Krishna Kumar S. Muthubalaji, Archana Saxena, Myasar Mundher Adnan, Sohini Chowdhury, Arti Badhoutiya - 2024 - International Conference on Advance Computing and Innovative Technologies in Engineering 4 (1):1263-1267.
    Stable and efficient function approximation methods in model-based reinforcement education (MBRL) have proven to be a persistent challenge, despitethe topic's expanding popularity. We offer an original structure to make the real-world difficulties in MBRL more understandable and to streamline algorithmic design at a higher abstraction level. In this way, MBRL is thought of as a two-person game: The policy player maximizes rewards by applying the learned model. The goal of the model player is to accurately reproduce the empirical facts that (...)
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  32. It’s Complicated: What Our Attitudes toward Pregnancy, Abortion, and Miscarriage Tell Us about the Moral Status of Early Fetuses.K. Lindsey Chambers - 2020 - Canadian Journal of Philosophy 50 (8):950-965.
    Many accounts of the morality of abortion assume that early fetuses must all have or lack moral status in virtue of developmental features that they share. Our actual attitudes toward early fetuses don’t reflect this all-or-nothing assumption: early fetuses can elicit feelings of joy, love, indifference, or distress. If we start with the assumption that our attitudes toward fetuses reflect a real difference in their moral status, then we need an account of fetal moral status that can explain that difference. (...)
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  33. The Reality of the Practice of Crisis Management in the Union of Health Work Committees in Gaza In Light of the Corona Pandemic.Muhammad K. Hamdan, Mansour A. Mansour, Mazen J. Al Shobaki, Samy S. Abu-Naser & Suliman A. El Talla - 2021 - International Journal of Academic Management Science Research (IJAMSR) 5 (4):141-148.
    The aim of the research is to identify the reality of the practice of crisis management in light of The Corona Pandemic, and to achieve the research objectives, the researchers used the descriptive and analytical approach using the comprehensive survey method for the total research community, which numbered (110) individuals, while (90) were recovered: That the level of crisis management practice came with a relative weight (75.60%). Among the most important recommendations made by the research: Work to disburse a health (...)
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  34. The Reality of the Quality of Health Services in the Union of Health Work Committees in Gaza In Light of the Corona Pandemic.Muhammad K. Hamdan, Mansour A. Mansour, Mazen J. Al Shobaki, Samy S. Abu-Naser & Suliman A. El Talla - 2021 - International Journal of Academic Accounting, Finance and Management Research(IJAAFMR) 5 (4):97-104.
    Abstract: The aim of the research is to identify the reality of the quality of health services in light of the Corona Pandemic, and in order to achieve the research objectives, the researchers used the descriptive and analytical approach using a comprehensive survey method for the total research community, whose number reached (110) individuals, while (90) were recovered: The level of health service quality is of relative weight (76%). Among the most important recommendations made by the research: Work to pay (...)
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  35. Study of Waders Diversity in the catchment area of Ujani Reservoir, Solapur District (MS), India.D. S. Kumbhar & D. K. Mhaske - 2020 - International Journal of Biological Innovations 2 (2):287-294.
    The present study was an attempt to access and evaluate the status and distribution of waders associated to wetlands of Ujani Reservoir with special reference to north - west region. Waders are the birds generally observed along shorelines and mudflats that wade in order to forage for food in mud or sand. Ujani wetlands provide feeding and roosting grounds for resident and migratory waders. This study was conducted from December 2015 to November 2017 including seasonal visits to five wetland sites (...)
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  36. Gender Prediction from Retinal Fundus Using Deep Learning.Ashraf M. Taha, Qasem M. M. Zarandah, Bassem S. Abu-Nasser, Zakaria K. D. AlKayyali & Samy S. Abu-Naser - 2022 - International Journal of Academic Information Systems Research (IJAISR) 6 (5):57-63.
    Deep learning may transform health care, but model development has largely been dependent on availability of advanced technical expertise. The aim of this study is to develop a deep learning model to predict the gender from retinal fundus images. The proposed model was based on the Xception pre-trained model. The proposed model was trained on 20,000 retinal fundus images from Kaggle depository. The dataset was preprocessed them split into three datasets (training, validation, Testing). After training and cross-validating the proposed model, (...)
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  37. Imperatives of socio-economic development in Ukraine under globalization conditions.Sergii Sardak & K. Ustich S. Sardak - 2017 - In Ihor Hrabynskyi, Fourth Biennial International Scientific Conference «Ecological and economic problems of international trade». pp. 188–192.
    The development of mankind and its concrete manifestations in technical, economic or other spheres is always determined by contradictions, uncertainty and the emergence of non-standard circumstances. At the beginning of the third millennium the world is characterized by acceleration of economic dynamics and complication of the mega environment, which requires mastering the realities of the present and the future. Exactly this problem that necessitates the definition of the Concept and priorities of the direction of socio-economic policy in Ukraine and conducting (...)
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  38. Covid-19 Pandemic: Challenges for Education and Environment.Mukul Sinha & S. K. Srivastava - 2021 - In Verma, COVID-19 SECOND WAVE: CHALLENGES FOR SUSTAINABLE DEVELOPMENT. Prayagraj: ABRF. pp. 126-129.
    Coronavirus disease 2019 (COVID-19) is an infectious disease that causes respiratory illness in human and has now become a major challenge for all over the world. In spite of all their efforts to restore the nature during the last few decades, humans could only move a few steps forward. But during the last few months, consequences of the COVID-19 Pandemic have successfully recovered the environment to a large extent that should definitely set positive impact on global climate change. The COVID-19 (...)
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  39. Comparative analysis of economic openness of the Netherlands and Poland.Sergii Sardak & S. E. Sardak О. D. Tryfonova, K. M. Ohdanskiy - 2018 - Imperatives of Development of Civil Society in Promoting National Competitiveness – 2018: 1st International Scientific and Practical Conference.
    Comparing the degree of openness of the economy of Poland and the Netherlands, we can say the following. The Netherlands is more dependent on foreign trade than Poland. The Netherlands export quota reaches almost 50%, unlike 41,37% in Poland in 2016. However, Poland has become more import-dependent. Poland, in contrast to the Netherlands, is continuing to increase the indicators of "economic globalization". To date, the Netherlands has been pursuing more moderate foreign trade policy and trying to protect itself from external (...)
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  40. A knowledge Based System for Diagnosing Persimmon Diseases.Sami M. Okasha, Fadi E. S. Harara, Mustafa M. K. Al-Ghoul & Samy S. Abu-Naser - 2022 - Nternational Journal of Academic and Applied Research (IJAAR) 6 (6):53-60.
    Background: Persimmon is a grassy, perennial plant, belonging to the oral platoon, square-shaped leg, bifurcated, erect, and ranging in height from (10 - 201 cm). Home to Europe and Asia. The Persimmon plant has many benefits, the most important of which are pain relief, treatment of gallbladder disorders, the expulsion of gases, anti-inflammatory, and relaxing nerves. While the Persimmon plant is the ideal option for the start of gardens, it is prone to some common diseases that affect the plant's growth. (...)
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  41. A Novel Method for Detecting Liver Tumors combining Machine Learning with Medical Imaging in CT Scans using ResUNet.M. Prakash P. Manjula, K. Krishnakumar, Smitha Gl, S. Pandiaraj - 2024 - International Conference on Integrated Circuits and Communication Systems 1 (1):1-5.
    The utilization of machine learning optimization methods is of utmost importance in the identification of liver tumors, attracting considerable interest in this domain. After obtaining a liver tissue sample, magnetic resonance imaging (MRI), computed tomography (CT), and ultrasonography (US) are used as imaging techniques to separate the tumor and liver. Nevertheless, the utilization of shades of gray and forms is insufficient for achieving accurate segmentation in computed abdominal CT images, mostly because of the presence of overlapping intensities and the unpredictable (...)
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  42. Investigating modes of being in the world: an introduction to Phenomenologically grounded qualitative research.Allan Køster & Anthony Vincent Fernandez - 2021 - Phenomenology and the Cognitive Sciences 22 (1):149-169.
    In this article, we develop a new approach to integrating philosophical phenomenology with qualitative research. The approach uses phenomenology’s concepts, namely existentials, rather than methods such as the epoché or reductions. We here introduce the approach to both philosophers and qualitative researchers, as we believe that these studies are best conducted through interdisciplinary collaboration. In section 1, we review the debate over phenomenology’s role in qualitative research and argue that qualitative theorists have not taken full advantage of what philosophical phenomenology (...)
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  43. Consciousness, the High Probability of Afterlife, and the Evolution of Intelligence in the Universe/s (16th edition).K. L. Senarath Dayathilake - 2023 - Cambridge.Org.
    This article investigates the profound mysteries of consciousness and the afterlife, which have captivated humanity for centuries. In our study, we conducted three hypothetical experiments, assuming all participants had healthy brains and minds in similar environments. We based our methodology on the premise that cell death can preserve anatomical and neural integrity (Vrselja et al., 2019). Between T1 and T2, six brains were rendered non-functional (brain death), eliminating consciousness. Participants were divided into three groups: -/- 1. Identical Triplets (Group I): (...)
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  44. A defense of Longino's social epistemology.K. Brad Wray - 1999 - Philosophy of Science 66 (3):552.
    Though many agree that we need to account for the role that social factors play in inquiry, developing a viable social epistemology has proved to be difficult. According to Longino, it is the processes that make inquiry possible that are aptly described as "social," for they require a number of people to sustain them. These processes, she claims, not only facilitate inquiry, but also ensure that the results of inquiry are more than mere subjective opinions, and thus deserve to be (...)
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  45. The Structured Design Framework for Developing Discharging Strategy for Cloud Based Automation Through ML Technique.K. Krishna Kumar Muntather Almusawi, Harpreet S. Bhatia, Ranjith Reddy K., Aashna Sinha, Dr R. Udayakumar - 2024 - International Conference on Advance Computing and Innovative Technologies in Engineering 4 (1):1341-1345.
    With the growth of wireless networks and Internet resources, cloud robotics is becoming more and more popular. A prominent innovation that has gained traction is computation offloading, which gives robots more computational power by using cloud resources and parallel processing power. Nevertheless, because there are so many variables affecting performance, research on how effective computing offloading is in cloud robotics is still underway. Our research proposes a distributed cloud robotic architecture that uses Kafka middleware as a message broker to offload (...)
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  46. Factors Affecting Of Disputes Resolution in Workplace: UNRWA at Gaza as a Case Study.Abdallah I. Qandil, Muhammad K. Hamdan, Mazen J. Al Shobaki, Samy S. Abu-Naser & Suliman A. El Talla - 2021 - International Journal of Academic Management Science Research (IJAMSR) 5 (2):154-180.
    UNRWA’s Mediation Process is a key element in the organization’s efforts to strengthen its internal justice system. The research aims to study the reality of mediator competencies, emotional intelligence and case characteristics variables, (UNRWA) Gaza. The research also aims at identifying the differences between respondents as attributed to their professional and personal traits of age, gender, educational level, distribution of department, dispute resolution experience and representation party. The researchers adopted mixed data collection methods; quantitative and qualitative. For qualitative, a semi-structured (...)
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  47.  66
    Why Francis Fukuyama’s “Last Man” is Not a Paradox.Timothy K. Brown - manuscript
    This article looks at Francis Fukuyama’s analysis of Hegel in "The End of History and the Last Man." It argues that Fukuyama’s “Last Man” thesis has been unduly neglected due to the focus on his “End of History” thesis. The “Last Man” (a term borrowed from Nietzsche) is a person who lashes out for attention because they do not receive any special, individual recognition in a society where all seem to get some level of recognition (e.g. having their basic biological (...)
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  48. Mengzi's Reception of Two All-Out Externality Statements on Yì 義.L. K. Gustin Law - forthcoming - Dao: A Journal of Comparative Philosophy:1-30.
    In Mengzi 6A4, Gaozi states that “yì 義 (propriety, rightness) is external, not internal.” In 6A5, Meng Jizi says of yì that “...it is on the external, not from the internal.” Their defenses are met with Mengzi’s resistance. What does he perceive and resist in these statements? Focusing on several key passages, I compare six promising interpretations. 6A4 and a relevant part of 2A2 can be rendered comparably sensible under each of the six. However, what Gaozi says in 6A1 clearly (...)
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  49. Vygotsky’s Janus-Faced Theory of Language: A Reply to Drain’s ‘Tomasello, Vygotsky, and the Phylogenesis of Mind’.K. Potapov - 2021 - Social Epistemology Review and Reply Collective.
    In his lucid and helpful reply, Chris Drain (2021) clarifies some of his views and aims and offers pertinent criticisms of my own. Drain refocuses my forays into Pittsburgh Hegelianism onto Vygotsky’s own thought. He rightly notes that Brandom’s account of deontic scorekeeping tells us nothing about phylogenesis. Sellars too has little to say about the origins of language and social practice and I would endorse the projects of those who turn to Tomasello to fill such gaps (Koons 2018). However, (...)
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  50. The Evolution of AI in Autonomous Systems: Innovations, Challenges, and Future Prospects.Ashraf M. H. Taha, Zakaria K. D. Alkayyali, Qasem M. M. Zarandah, Bassem S. Abu-Nasser, & Samy S. Abu-Naser - 2024 - International Journal of Academic Engineering Research (IJAER) 8 (10):1-7.
    Abstract: The rapid advancement of artificial intelligence (AI) has catalyzed significant developments in autonomous systems, which are increasingly shaping diverse sectors including transportation, robotics, and industrial automation. This paper explores the evolution of AI technologies that underpin these autonomous systems, focusing on their capabilities, applications, and the challenges they present. Key areas of discussion include the technological innovations driving autonomy, such as machine learning algorithms and sensor integration, and the practical implementations observed in autonomous vehicles, drones, and robotic systems. Additionally, (...)
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