Results for 'М. A. Кононец'

983 found
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  1. Gauge Invariance for Classical Massless Particles with Spin.Jacob A. Barandes - 2021 - Foundations of Physics 51 (1):1-14.
    Wigner's quantum-mechanical classification of particle-types in terms of irreducible representations of the Poincaré group has a classical analogue, which we extend in this paper. We study the compactness properties of the resulting phase spaces at fixed energy, and show that in order for a classical massless particle to be physically sensible, its phase space must feature a classical-particle counterpart of electromagnetic gauge invariance. By examining the connection between massless and massive particles in the massless limit, we also derive a classical-particle (...)
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  2.  57
    Decretum Concomitans. Bartolomeo Mastri on Divine Cognition and Human Free Will.Claus A. Andersen - 2023 - In Claus A. Andersen & Daniel Heider, Cognitive Issues in the Long Scotist Tradition. Basel: Schwabe. pp. 333–363.
    The Disputationes Theologiae from 1655 of Bartolomeo Mastri (1602–1673) is structured after the model of the medieval commentaries on Peter Lombard’s Four Books of Sentences and hence has a large section in the first part on divine knowledge. Within this section, called Disputation on the Divine Intellect (Disputatio de Divino Intellectu), Mastri’s long and nuanced discussion of divine foreknowledge merits particular attention. In the time of Mastri, the theological issue of divine foreknowledge and its relation to human freedom had gained (...)
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  3.  42
    Trading Evidence: The Role of Models in Interfield Unification.Daniel A. Weiskopf - forthcoming - Philosophy of Science.
    Scientific fields frequently need to exchange data to advance their own inquiries. Data unification is the process of stabilizing these forms of interfield data exchange. I present an account of the epistemic structure of data unification, drawing on case studies from model-based cognitive neuroscience (MBCN). MBCN is distinctive because it shows that modeling practices play an essential role in mediating these data exchanges. Models often serve as interfield evidential integrators, and models built for this purpose have their own representational and (...)
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  4. Conceptual and empirical pinpointing of consciousness.Tobias A. Wagner-Altendorf - 2023 - Journal of Cognition and Neuroethics 9 (1):51-65.
    Consciousness is targeted by both philosophers and neuroscientists; but different methodological premises and even different conceptions about what conscious experience is and how the challenges and potential problems associated with consciousness research should be formulated underlie the different approaches. Namely, whereas empirical data and the constant refinement of experimental procedures to expand and modify this body of empirical data and resulting empirical theories are crucial to neuroscience, the significance of empirical knowledge to philosophy is less clear: Although empirical data certainly (...)
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  5. Philosophy and neuroscience on consciousness – response to Felipe León and Dan Zahavi.Tobias A. Wagner-Altendorf - 2023 - Acta Neurochirurgica 165:3583-3584.
    León and Zahavi (2023) have made a compelling case for the necessity of philosophy — and not only neuroscience — for investigating consciousness. In particular, they argue that any theory of consciousness cannot avoid philosophical enquiry and thus only can choose between good or bad philosophy. Also, the topics of self-consciousness and selfhood are highlighted as problems of consciousness sui generis next to the mind–body problem. I will try to elucidate a bit more the specific approaches to consciousness that philosophy (...)
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  6. Incompatibilism and the Fixity of the Past.Neal A. Tognazzini & John Martin Fischer - 2017 - In John A. Keller, Being, Freedom, and Method: Themes From the Philosophy of Peter van Inwagen. New York: Oxford University Press UK. pp. 140-148.
    A style of argument that calls into question our freedom (in the sense that involves freedom to do otherwise) has been around for millennia; it can be traced back to Origen. The argument-form makes use of the crucial idea that the past is over-and-done-with and thus fixed; we cannot now do anything about the distant past (or, for that matter, the recent past)—it is now too late. Peter van Inwagen has presented this argument (what he calls the Consequence Argument) in (...)
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  7.  70
    Leveraging Machine Learning for Early Detection of Chronic Kidney Disease.A. Manoj Prabaharan - 2025 - Journal of Science Technology and Research (JSTAR) 6 (1):1-18.
    This project aims to develop a machine learning-based predictive model for diagnosing CKD at an early stage. By utilizing a range of clinical features such as age, blood pressure, blood sugar, and other relevant biomarkers, we employ machine learning algorithms, including Decision Trees, Random Forests, and Support Vector Machines (SVM), to predict the likelihood of a patient developing CKD. The dataset used in this study includes medical records of patients with various kidney conditions, and preprocessing techniques such as normalization and (...)
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  8.  78
    Kin Matters: Relational Beings in the Fragile Sciences.Robert A. Wilson - forthcoming - New York: Oxford University Press.
    Kin and kinship matter to us. We are social creatures and our kin or relatives are typically high on the list of those most important to us. Kin are those we care for and who care for us. Our family ties provide a sense of where and with whom we belong. Kin matters also impose boundaries on who we relate to and how, including in sexual and other intimate matters. The study of kinship has been a cornerstone of anthropology throughout (...)
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  9.  74
    (1 other version)8 Gedankenexperiments for Presentist Fragmentalism.P. Merriam & M. A. Z. Habeeb - manuscript
    Einstein's relativity emerged from his resolution of three key thought experiments. We show that Presentist Fragmentalism can systematically resolve eight fundamental paradoxes, including Einstein's classic train scenario and Schrodinger’s Cat.
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  10.  43
    German "Pacifism" and the Zeitenwende.Frank A. Stengel - forthcoming - Defense and Security Analysis.
    Following the Russian invasion of Ukraine on 24 February 2022, German Chancellor Olaf Scholz announced a major reorientation of German security policy, committing the federal government to a significant increase in defence spending as well as arms deliveries to Ukraine. Scholz’s announcement of a Zeitenwende (sea change) has triggered a renewed debate about continuity and change in German security policy, with some observers claiming that the Zeitenwende marks the end of German ‘pacifism’, the country’s traditional culture of military reticence. In (...)
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  11.  41
    Four Quadrant Operation of DC Motor_ using PID Controller (14th edition).Darshan A. C. Tarakeshwari V. - 2025 - International Journal of Innovative Research in Science, Engineering and Technology 14 (2):1217-1221.
    This project aims to control the speed and direction of a DC motor in four quadrants: clockwise, counterclockwise, forward braking, and reverse braking. An H-bridge motor drive IC is used to switch the motor’s polarity based on user inputs via four control switches. A slide switch enables alternative directional control. A 555 timer generates PWM pulses for speed regulation, while relays manage polarity changes and braking. In regenerative braking, the motor generates reverse Ftorque for instant stopping. The four-quadrant control is (...)
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  12.  55
    Breast Cancer Detection Using Machine Learning.Shifa A. M. Amrutha D. - 2024 - International Journal of Innovative Research in Science, Engineering and Technology 13 (11):19401-19406.
    Breast cancer is one of the leading causes of death among women worldwide. Early detection plays a crucial role in improving survival rates, and machine learning (ML) provides powerful tools for identifying cancerous tumors in medical imaging and diagnostic data. This paper explores various machine learning techniques used for breast cancer detection, with a particular focus on the Wisconsin Breast Cancer Dataset (WBCD). We evaluate several classification models, including Logistic Regression (LR), Support Vector Machine (SVM), k-Nearest Neighbors (k-NN), and Random (...)
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  13.  49
    The Future of Calorie Estimation: AI and Machine Learning-Driven Nutritional Analysis.A. Manoj Prabaharan - 2024 - Journal of Science Technology and Research (JSTAR) 5 (1):1-15.
    The model is trained on a large dataset containing images of various food items along with their nutritional information. After preprocessing the input image, the model classifies the food and estimates the calorie count by leveraging its learned features. The estimated calorie value is then displayed to the user in real-time. This project leverages key technologies, including image recognition, deep learning, and nutrition analysis. It is designed to be integrated into mobile applications or web platforms, allowing users to track their (...)
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  14.  38
    Comprehensive Detection of Malware and Trojans in Power Sector Software: Safeguarding Against Cyber Threats.A. Sai Lochan - 2024 - International Journal of Engineering Innovations and Management Strategies 1 (11):1-14.
    The increasing reliance on digital technologies within the power sector has introduced considerable cybersecurity risks, especially from malware and trojans. These threats can disrupt essential operations, manipulate grid functions, and compromise the integrity of energy systems, thereby endangering both economic stability and national security. This research aims to create a detection framework tailored to the specific challenges of the power sector. The proposed framework utilizes advanced methods such as behaviour based anomaly detection, machine learning algorithms, and both static and dynamic (...)
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  15.  36
    Modular Liquid Cooling System for Hybrid Electric Vehicle Motors and Batteries.A. Manoj Prabaharan - 2024 - Journal of Science Technology and Research (JSTAR) 5 (1):673-682.
    As hybrid electric vehicles (HEVs) gain prominence in the automotive industry, managing the heat generated by their electric motors and batteries has become a critical challenge. The performance, safety, and longevity of HEV components, such as batteries and motors, are significantly affected by thermal conditions. This paper proposes a modular liquid cooling system designed to efficiently manage heat dissipation in hybrid electric vehicle motors and batteries. The system leverages advanced fluid dynamics and thermoelectric materials to achieve optimal thermal control while (...)
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  16.  36
    Detection of Covid-19 based on convolutional neural networks using pre-processed chest X-ray images (14th edition).and Ahmed Said Badawy Arul Raj A. M., Sugumar R., Padmkala S., Jayant Giri, Naim Ahmad - 2024 - Aip Advances 14 (3):1-11.
    The global catastrophe known as COVID-19 has shattered the world’s socioeconomic structure. Effective and affordable diagnosis techniques are crucial for better COVID-19 therapy and the eradication of bogus cases. Due to the daily upsurge in cases, hospitals only have a small supply of COVID-19 test kits. The study describes a deep Convolutional Neural Network (CNN) design for categorizing chest x-ray images in the diagnosis of COVID-19. The lack of a substantial, high-quality chest x-ray picture collection made efficient and exact CNN (...)
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  17. New Populism, New Conspiracism, and the Old Rhetoric of Purity.Chris A. Kramer - 2023 - Encyclopedia of New Populism and Responses in the 21St Century.
    This entry investigates the connections between neo-populism and neo-conspiracism in the USA. One central thread is the rhetoric of purity that fosters rigid dichotomies of thought about identities, contributing to both populism and conspiracism, eliciting a neologism: conspirapopulism.
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  18. A graph-theoretic account of logics.A. Sernadas, C. Sernadas, J. Rasga & Marcelo E. Coniglio - 2009 - Journal of Logic and Computation 19 (6):1281-1320.
    A graph-theoretic account of logics is explored based on the general notion of m-graph (that is, a graph where each edge can have a finite sequence of nodes as source). Signatures, interpretation structures and deduction systems are seen as m-graphs. After defining a category freely generated by a m-graph, formulas and expressions in general can be seen as morphisms. Moreover, derivations involving rule instantiation are also morphisms. Soundness and completeness theorems are proved. As a consequence of the generality of the (...)
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  19. Improving Numerical Performance in Grade-7 Students through Effective Remedial Instruction.Pearl Marie A. Legal & Gregorio A. Legal - 2024 - International Journal of Multidisciplinary Educational Research and Innovation 2 (1):1-20.
    This study aimed to assess the effectiveness of remedial instruction in improving the numeracy skills of Grade 7 students at Malbug National High School during the school year 2023-2024. Adopting a quasi-experimental research design, the research focused on Grade 7 students at Malbug National High School, Cawayan East District, Masbate Province Division, Philippines, identified as non-numerates, employing pre-tests and post-tests as essential research tools. The independent variable was the remedial instruction in numeracy, while the dependent variable was students' numeracy performance (...)
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  20.  11
    Advanced Data Integration for Smart Healthcare: Leveraging Blockchain and AI Technologies.A. Manoj Prabaharan - 2024 - Journal of Artificial Intelligence and Cyber Security (Jaics) 8 (1):1-7.
    The healthcare sector is undergoing a transformative shift towards smart healthcare, driven by advancements in technology, including Artificial Intelligence (AI) and Blockchain. As healthcare systems generate vast amounts of data from multiple sources, such as electronic health records (EHRs), medical imaging, wearable devices, and sensor-based monitoring, the challenge lies in securely integrating and analyzing this data for real-time, actionable insights. Blockchain technology, with its decentralized, immutable, and transparent framework, offers a robust solution for securing data integrity, privacy, and sharing across (...)
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  21.  11
    Big Data Analytics and AI for Early Disease Detection Using Biomedical Signal Patterns.A. Manoj Prabaharan - 2024 - Big Data Analytics and Ai for Early Disease Detection Using Biomedical Signal Patterns 8 (1):1-7.
    The rapid advancements in healthcare technologies have resulted in an enormous increase in biomedical data, creating the need for innovative approaches to harness this information for early disease detection. Big Data Analytics (BDA) combined with Artificial Intelligence (AI) offers unprecedented opportunities to analyze complex biomedical signal patterns and predict the onset of diseases at an early stage. The application of AI techniques like machine learning and deep learning in conjunction with BDA allows for the detection of subtle patterns in large (...)
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  22.  10
    Blockchain-Enhanced AI Solutions for Secure Biomedical Signal Processing and Data Integration.A. Manoj Prabaharan - 2024 - Journal of Artificial Intelligence and Cyber Security (Jaics) 8 (1):1-7.
    In recent years, the combination of Artificial Intelligence (AI) and Blockchain technology has garnered significant attention, especially in the healthcare domain. With the increasing reliance on biomedical signal processing for disease diagnosis and treatment, ensuring the security, privacy, and integrity of data has become paramount. Biomedical signals, including electrocardiograms (ECG), electroencephalograms (EEG), and other physiological data, often contain sensitive information. AI models have shown great promise in processing and interpreting these signals, enabling accurate disease detection and personalized healthcare. However, the (...)
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  23.  10
    Optimizing AI Models for Biomedical Signal Processing Using Reinforcement Learning in Edge Computing.A. Manoj Prabaharan - 2024 - Journal of Artificial Intelligence and Cyber Security (Jaics) 8 (1):1-7.
    . In the evolving landscape of healthcare, the efficient processing of biomedical signals is critical for real-time diagnosis and personalized treatment. Conventional cloud-based AI systems for biomedical signal processing face challenges such as high latency, bandwidth consumption, and data privacy concerns. Edge computing, which brings data processing closer to the source, has emerged as a potential solution to these limitations. However, optimizing AI models for edge devices, which often have limited computational resources, remains a challenge. This paper proposes an innovative (...)
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  24.  37
    arnessing Neural Networks for Precise Eagle-Fish Recognition in Natural Habitats.A. Manoj Prabharan - 2023 - Journal of Science Technology and Research (JSTAR) 4 (1):1-12.
    This project, titled Bird Species Identification Using Deep Learning, aims to develop a robust system that can identify bird species from images with high precision. The core of this project involves training a CNN model on a diverse dataset of bird images. This dataset includes species from various geographical locations and environments, capturing a wide range of appearances, postures, and behaviors. By preprocessing and augmenting the dataset, the model is designed to handle challenges such as variations in lighting, background noise, (...)
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  25.  76
    Energy-Aware Depth-Based Routing Protocol for Enhanced Data Transmission in Underwater Wireless Sensor Networks.A. Manoj Prabaharan - 2024 - Journal of Science Technology and Research (JSTAR) 5 (1):631-639.
    Underwater Wireless Sensor Networks (UWSNs) are pivotal for various applications, including oceanographic data collection, environmental monitoring, and naval operations. However, the harsh underwater environment poses challenges in designing efficient routing protocols, especially concerning energy consumption and data transmission reliability. This paper proposes an optimized depth-based routing protocol for energy-aware data transmission in UWSNs, focusing on minimizing energy usage while ensuring robust data delivery. The protocol dynamically adjusts transmission power based on node depth and residual energy, reducing communication overhead and prolonging (...)
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  26.  32
    Death of the Layman: The legacy of deconstruction and the philosophy of international law.V. A. Heiskanen - 2007 - Journal of the Philosophy of International Law 2:39-91.
    In what would become his last interview, Jacques Derrida raised the question about the legacy of his work. What would become of deconstruction after his death? -/- Derrida proposed two contradictory hypotheses: the legacy of deconstruction might be re-invested in a new philosophical undertaking that could produce new intellectual gains, or it might be deposited on a savings account – a dépôt légal – where it would attract only limited legal interest. Derrida suggested that at least part his legacy should (...)
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  27.  27
    On-Time Delivery Opt (ODO) Courier Services using Angular and Spring.Sri Balaji J. C. Praveen Kumar A. - 2020 - International Journal of Innovative Research in Computer and Communication Engineering 8 (8):3160-3164.
    An idea is to develop a software module for a leading Courier Service company, which handles over 20,00,000 parcels per day. However currently, all the parcel handling is managed through manual operations. The manual operation takes much of the time and the man-power. It obviously leads to the dissatisfaction of the customers, which automatically affects the company’s growth. So to automate the parcel management, in order to achieve these objectives, increase operational efficiencies, Increase customer experience, Reduce the operational cost The (...)
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  28.  20
    The Scopics of International Conflicts.V. A. Heiskanen - 2017 - Www.Doria.Fi.
    The term “international” refers to the movement of resources – goods, services, capital and labor – across international boundaries. Such movement may be voluntary, in which case it qualifies as a socioeconomic phenomenon, or involuntary. Involuntary movement of resources may be small-scale or (socioeconomically) microscopic, or it may be macroscopic – a large-scale transfer of resources over an international boundary. When resources are mobilized on a large scale and without the consent of the target State, the event amounts by definition (...)
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  29.  51
    Integrated Health Alert System with Visual Analytics for Proactive Monitoring.A. Manoj Prabaharan - 2024 - Journal of Science Technology and Research (JSTAR) 5 (1):655-665.
    The proposed system combines predictive analytics and historical data to flag potential emergencies before they occur. The visual analytics platform provides comprehensive reports to healthcare providers, enabling them to monitor trends, identify risk factors, and make informed decisions. This approach significantly enhances patient care by minimizing delays in response and improving overall health outcomes. The system's architecture, based on big data frameworks, supports scalable and efficient data processing. The study demonstrates how the integration of predictive models and data visualization tools (...)
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  30.  47
    Android Grocery _Management App (11th edition).Supriya A. N. Shravani S., - 2024 - International Journal of Multidisciplinary Research in Science, Engineering, Technology and Management 11 (6):9363-9366.
    This paper presents the design and development of an Android Grocery Management App aimed at simplifying the process of grocery shopping and inventory management for users. The app allows users to manage their grocery list, track inventory, set reminders for grocery purchases, and receive product suggestions. It also features integration with online stores for easy purchasing. The app is built with an emphasis on usability, providing an intuitive interface for seamless interaction.
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  31.  44
    Smart Robotic Solutions for Efficient Stock Management in Pick and Place Tasks.A. Manoj Prabaharan - 2024 - Journal of Science Technology and Research (JSTAR) 5 (1):680-690.
    The integration of robotics and stock management systems has revolutionized warehouse operations, offering greater efficiency, accuracy, and flexibility. This paper presents an optimal design for integrating robotic systems with stock management for pick-and-place operations in warehousing environments. The primary objective of this research is to enhance the precision and speed of stock handling while minimizing human intervention and error. Our design incorporates state-of-the-art sensors, real-time tracking systems, and autonomous robots programmed with advanced algorithms for object identification, gripping, and movement.
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  32.  23
    Influence of Emotion Regulation on Pre-service Teachers’ Mental Well-being and Interpersonal Relationships.Rejoice Rodalen A. Pante & Merimee T. Siena - 2025 - International Journal of Multidisciplinary Educational Research and Innovation 3 (1):347-364.
    This study aims to determine the two emotion regulation strategies—cognitive reappraisal or expressive suppression—used by pre-service teachers enrolled in Philippine Normal University, and examine its relationship with their mental well-being and interpersonal relationships. This study utilized quantitative correlational research design by administering an online survey that contains three questionnaires: Emotion Regulation Questionnaire (ERQ) to determine what emotion regulation strategy is frequently used, Warwick-Edinburg Mental Well-Being Scale (WEMWBS) to determine the state of their well-being, and the Functional Idiographic Assessment Template-Questionnaire-Short Form (...)
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  33. A semantic approach to the structure of population genetics.Elisabeth A. Lloyd - 1984 - Philosophy of Science 51 (2):242-264.
    A precise formulation of the structure of modern evolutionary theory has proved elusive. In this paper, I introduce and develop a formal approach to the structure of population genetics, evolutionary theory's most developed sub-theory. Under the semantic approach, used as a framework in this paper, presenting a theory consists in presenting a related family of models. I offer general guidelines and examples for the classification of population genetics models; the defining features of the models are taken to be their state (...)
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  34.  24
    Se piscar, tudo será em vão (Parte I).Felipe A. Camargo - 2024 - Jornal Colunas Gregas 1 (1):18-20.
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  35. Effect of beverages on the disintegration time of drugs in the tablet dosage form.Samia A. Majeed - 2024 - Mediterranean Journal of Pharmacy and Pharmaceutical Sciences 4 (2):69-74.
    Disintegration is the most important step for drug bioavailability because after, the disintegration process, the ingredients of solid dosage forms dissolve and become bioavailable. Generally, the tablets and capsules should be taken with a glass of water otherwise the manufacturer gives instructions to use the proper beverage. Several drugs are taken with different forms of beverages to ensure easy swallowing of the tablet, masking the bad taste of the drug and overcoming the drug aftertaste, these beverages can influence the disintegration (...)
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  36. Globalization and Transformation : State, Ideas, and Economic Policy in Bangladesh.A. S. M. Mostafizur Rahman - 2024 - Dissertation, Heidelberg University
    Understanding the policymaking process in an emerging economy in the global south, such as Bangladesh, holds significant importance. The country's remarkable socio-economic development, once the most impoverished in the region, has been facilitated by post-globalization economic transformation. While the literature on institutional change has predominantly focused on states in industrialist countries, this dissertation presents an innovative theoretical approach. It deeply explores primary case materials to illustrate how the state engages in policy evolution in a developing country's gradual shift from the (...)
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  37.  13
    Advancements in AI-Enhanced OCT Imaging for Early Disease Detection and Prevention in Aging Populations.Nushra Tul Zannat Sabira Arefin, Marcia A. Orozco, Ms Bme - 2025 - International Journal of Multidisciplinary Research in Science, Engineering and Technology 8 (3):1430-1444.
    Optical Coherence Tomography (OCT) proves essential as an imaging modality for detecting early diseases especially by helping patients who age and face increased susceptibility to retinal and systemic conditions. The development of artificial intelligence technology now boosts OCT diagnostic features to identify conditions like diabetic retinopathy in addition to age-related macular degeneration and cardiovascular diseases at an early stage. This paper examines two main advancements in artificial intelligence for OCT imaging monitoring such as Google Health's Retinal Disease Predictor and AI (...)
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  38. Color as a secondary quality.Paul A. Boghossian & J. David Velleman - 1989 - Mind 98 (January):81-103.
    Should a principle of charity be applied to the interpretation of the colour concepts exercised in visual experience? We think not. We shall argue, for one thing, that the grounds for applying a principle of charity are lacking in the case of colour concepts. More importantly, we shall argue that attempts at giving the experience of colour a charitable interpretation either fail to respect obvious features of that experience or fail to interpret it charitably, after all. Charity to visual experience (...)
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  39.  42
    Feathered Intelligence: Leveraging Machine Learning for Bird Identification.A. Manoj Prabharan - 2023 - Journal of Science Technology and Research (JSTAR) 4 (1):1-10.
    The model's performance is evaluated using metrics such as accuracy, precision, recall, and F1-score, ensuring comprehensive validation. Results indicate significant accuracy improvements over traditional machine learning approaches, demonstrating the potential of deep learning in species identification. This project holds promise for applications in wildlife monitoring, ecological research, and educational tools, promoting awareness and conservation efforts. Future work may include integrating the system into mobile applications or deploying it for real-time bird species identification in field conditions.
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  40. From Epicurus to Epictetus: studies in Hellenistic and Roman philosophy.A. A. Long - 2006 - New York: Oxford University Press.
    A. A. Long, one of the world's leading writers on ancient philosophy, presents eighteen essays on the philosophers and schools of the Hellenistic and Roman periods--Epicureans, Stoics, and Sceptics. The discussion ranges over four centuries of innovative and challenging thought in ethics and politics, psychology, epistemology, and cosmology.
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  41. Toward a Generous Orthodoxy: Prospects for Hans Frei's Postliberal Theology.Jason A. Springs - 2010 - New York, NY, USA: Oxford University Press.
    Hans Frei, one of the most influential American theologians of the twentieth century, is generally considered a founder of postliberal theology. Frei never set forth his thinking systematically, and he has been criticized for being inconsistent, contradictory, and insufficiently rigorous. Jason Springs seeks here to offer a re-evaluation of Frei's work. Arguing that Hans Frei's theology cannot be understood without a meticulous consideration of the complex equilibrium of his theological and philosophical interests and influences, Springs vindicates Frei's christologically motivated engagement (...)
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  42. A Quantum-Bayesian Route to Quantum-State Space.Christopher A. Fuchs & Rüdiger Schack - 2011 - Foundations of Physics 41 (3):345-356.
    In the quantum-Bayesian approach to quantum foundations, a quantum state is viewed as an expression of an agent’s personalist Bayesian degrees of belief, or probabilities, concerning the results of measurements. These probabilities obey the usual probability rules as required by Dutch-book coherence, but quantum mechanics imposes additional constraints upon them. In this paper, we explore the question of deriving the structure of quantum-state space from a set of assumptions in the spirit of quantum Bayesianism. The starting point is the representation (...)
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  43. Effectiveness of Microlearning-based Lessons in Teaching Grade 9 Chemistry.Lovelyn A. Calixtro - 2023 - Universal Journal of Educational Research 2 (4):351-356.
    Microlearning-based lessons are still new in the field of education because it primarily focuses on corporate training and adult learning. Hence, limited research was conducted in basic education even in higher education. Microlearning-based lessons are designed and delivered in the form of small, bite-sized information which allows students to achieve a certain learning objective. The main purpose of this research is to determine the effectiveness of Microlearning-based Lessons in Chemistry in the level of academic performance of 18 Grade 9 students (...)
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  44. Grace A. de Laguna’s Theory of Universals: A Powers Ontology of Properties and Modality.A. R. J. Fisher - 2022 - Australasian Philosophical Review 6 (1):39-48.
    In this paper I examine Grace A. de Laguna’s theory of universals in its historical context and in relation to contemporary debates in analytic metaphysics. I explain the central features of her theory, arguing that her theory should be classified as a form of immanent realism and as a powers ontology. I then show in what ways her theory affords a theory of modality in terms of potentialities and discuss some of its consequences along the way.
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  45. a.A. A. (ed.) - 2015 - Universidad Técnica Particular de Loja.
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  46. A virtue ethical account of making decisions about risk.N. Athanassoulis & A. Ross - 2010 - Journal of Risk Research 13 (2):217.
    Abstract Most discussions of risk are developed in broadly consequentialist terms, focusing on the outcomes of risks as such. This paper will provide an alternative account of risk from a virtue ethical perspective, shifting the focus to the decision to take the risk. Making ethical decisions about risk is, we will argue, not fundamentally about the actual chain of events that the decision sets in process, but about the reasonableness of the decision to take the risk in the first place. (...)
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  47. Disincentivising Bioweapons.Nathan A. Paxton (ed.) - 2024 - Nuclear Threat Initiative.
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  48. Nietzsche on Morality and the Affirmation of Life by Daniel Came (ed.). [REVIEW]James A. Mollison - 2024 - Journal of Nietzsche Studies 55 (1):110-116.
    Daniel Came's most recent edited collection features original essays from leading figures in the field. As most of its chapters are well-written and well-argued, it will interest Nietzsche scholars generally. It's difficult to narrow the volume's intended audience much further than this, however. The source of this difficulty is not merely titular, though one wonders what aspects of Nietzsche's philosophy could not plausibly be yoked under the dual headings of "morality" and "life affirmation." Rather, the difficulty stems from a shortcoming (...)
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  49. From playfulness and self-centredness via grand expectations to normalisation: a psychoanalytical rereading of the history of molecular genetics. [REVIEW]H. A. E. Zwart - 2013 - Medicine, Health Care and Philosophy 16 (4):775-788.
    In this paper, I will reread the history of molecular genetics from a psychoanalytical angle, analysing it as a case history. Building on the developmental theories of Freud and his followers, I will distinguish four stages, namely: (1) oedipal childhood, notably the epoch of model building (1943–1953); (2) the latency period, with a focus on the development of basic skills (1953–1989); (3) adolescence, exemplified by the Human Genome Project, with its fierce conflicts, great expectations and grandiose claims (1989–2003) and (4) (...)
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  50. John Toland a jeho Křesťanství bez mystérií.Jan Čížek A. Kol - 2017 - Pro-Fil 17 (2):30.
    Text John Toland a jeho Křesťanství bez mystérií sestává ze dvou provázaných částí. První část představuje stručné biografické pojednání o Johnu Tolandovi (1670–1722), v němž se mimo jiné snažíme předložit obecný úvod do jeho myšlení. Druhá část pak nabízí první český překlad předmluvy k Tolandovu nejznámějšímu spisu Christianity not Mysterious (1696), který je považován za základní impulz deistické diskuze na Britských ostrovech.
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