The paper examines a puzzling sequence of verb tenses at Phaedo 100b3-9. It rejects the idea, almost universal among commentators, that the puzzle is to be solved by construing the first verbal expression as if it were equivalent to a future. The paper then offers another solution and explores its implications for understanding the broader philosophical context of the passage. What emerges is that the new solution provides a valuable clue to figuring out what precisely Socrates has in mind when (...) he speaks at 100b4 of the ‘mode of explanation’ with which he is presently engaged. Hence, the tightly focused linguistic discussion at the paper’s outset ultimately takes on a good deal of significance for the interpretation of this difficult but important section of the dialogue. (shrink)

This is a commentary on MM McCabe's "First Chop your logos... Socrates and the sophists on language, logic, and development". In her paper MM analyses Plato's Euthydemos, in which Plato tackles the problem of falsity in a way that takes into account the speaker and complements the Sophist's discussion of what is said. The dialogue looks as if it is merely a demonstration of the silly consequences of eristic combat. And so it is. But a main point of MM's paper (...) is that there is serious philosophy in the Euthydemos, too. MM argues that to counter the sophist brothers Euthydemos and Dionysodoros, Socrates points out that that there are different aspects to the verb 'to say' that run in parallel to the different aspects of the very 'to learn'. So just as there is continuity rather than ambiguity between 'to learn' and 'to understand', so there is continuity between the different aspects of saying. Thus Socrates puts forward a teleological account of both learning and meaning. Following up on some of MM's thoughts, I argue that the sophists subscribe, despite appearance, to a theory of meaning that respects serious and widely accepted philosophical theses on meaning. -/- Forthcoming in the Australasian Philosophical Review. The curator of the volume is Fiona Leigh, and the committee also has Hugh Benson and Tim Clarke. You can find MM's paper as well as the commentaries by Nicholas Denyer and Russell E. Jones and Ravi Sharma (and myself) by registering. (shrink)

I argue that moral principles involve the same sort of generalization as ordinary yet elusive generic generalizations in natural language such as ‘Tigers are striped’ or ‘Peppers are spicy’. A notable advantage of the generic view is that it simultaneously allows for pessimism and optimism about the role and status of moral principles in our lives. It provides a new perspective on the nature of moral principles on which principles are not apt for determining the moral status of particular actions (...) while they may be apt, and even fundamental, to our acquisition of moral knowledge. A natural consequence of the view is variation among moral principles, with some regularly warranting exceptions and some appearing arguably exceptionless. I will also argue that this generic conception of moral principles has significant advantages, as a normative model of moral reasoning, over the view of moral principles as defaults advanced in recent years. (shrink)

We investigate the productivity impacts of a generative artificial intelligence technology—specifically, the assistive chatbot ChatGPT—within the realm of mid-level professional writing tasks. In a preregistered online experiment, we assigned occupation-specific, incentivized writing tasks to 444 college-educated professionals, with half of the participants randomly exposed to ChatGPT. Our findings reveal that ChatGPT significantly enhances average productivity: the time taken to complete tasks decreases by 0.8 standard deviations, and output quality improves by 0.4 standard deviations. Additionally, the use of ChatGPT reduces inequality (...) among workers by compressing the productivity distribution, primarily benefiting those with lower initial ability. ChatGPT primarily substitutes for worker effort rather than complementing worker skills, shifting the focus of tasks from rough-drafting to idea generation and editing. Furthermore, exposure to ChatGPT increases job satisfaction and self-efficacy while also heightening both concerns and excitement about automation technologies. (shrink)

A prevailing thought is that generics have a covert modal operator at logical form. I claim that if this is right, the covert generic modality is a weak necessity modal. In this paper, I pr...

This paper presents the design and implementation of a pattern-based J2EE application development environment aimed at streamlining the development process, enhancing code quality, and improving maintainability. We begin with an exploration of the fundamental principles of J2EE and the role of design patterns in software engineering. This is followed by a detailed discussion on the selection and application of various design patterns specifically tailored for J2EE, such as Singleton, Factory, Data Access Object (DAO), and Model-View-Controller (MVC).

FarmSmart is an integrated digital agriculture platform that seeks to empower farmers with data-driven, intelligent decision-making. It brings together six must-have modules such as crop recommendation, fertilizer recommendation, crop disease forecasting, farmer-to-farmer marketplace, live commodity price tracking, and multilingual conversational chatbot into one integrated, easy-to-use solution, specifically designed for rural environments. With the combined strength of machine learning, computer vision, natural language processing, and realtime APIs of government data, FarmSmart is a holistic end-to-end solution for enabling farmers right through the (...) farming process. It includes suggesting the optimal crop in terms of environment and soil, suggesting the application of certain fertilizers, detection of crop disease using leaf image analysis through deep learning algorithms (ResNet-9), and enabling informed decisions regarding the time and place of sale of crops through live mandi price comparison. FarmSmart seeks to maximize productivity and profitability. In addition, the integrated e-commerce platform supports direct farmer-to-farmer transactions for farm produce, equipment, and produce sales and purchases, essentially doing away with intermediary functions. The platform has a multilingual AI chatbot, created by GROQ, that provides conversational assistance and voice assistance, thus improving usability for farmers from different linguistic backgrounds. Lastly, FarmSmart bridges the critical information gap in rural farming communities, increasing precision agriculture, reducing wastage of resources, and improving livelihoods through the integration of modern technology into traditional farming practices. (shrink)

Subjectivity or the problem of ‘qualia’ tends to make the accessibility and comprehension of psychological events intangible especially for scientific exploration. The issue becomes even more complicated but interesting when one turns towards mystical experiences. Such experiences are different from other psychological phenomena in the sense that they don’t occur to every one, so are difficult to comprehend even for their qualifications of existence. We conducted a qualitative study on one such experience of inner-light perception. This is a common experience (...) reported by meditators of all kinds. However, we chose to study this phenomenon in Vihangam Yoga practitioners because of frequent occurrence of this experience in them as well as their reports of having it for hours at a stretch. During this study, it was noted that it arose many questions there we need to answer not only to explain such phenomena but also for having a better understanding of philosophy of science. In the search for these answers, we proceeded towards another complicated branch of science, quantum mechanics. Our present work is about creating an interface between a unique subjective phenomenon and principles of philosophy as well as of quantum mechanics. We explore the constructs of physical and critical realisms and their coincidence, quantum information theory and the measurement problem of Copenhagen interpretation and their possible applications in such an experience. In this endeavour, we also address the possibility that inner-light perception as experienced by Vihangam Yogis is a quantum event in brain. For this purpose, we specifically analyse the Zeilingers information concept and try to apply it to this phenomena. (shrink)

The examination of anomaly process detection using negative selection algorithms and classification techniques focuses on enhancing the ability to identify deviations from expected patterns within complex data sets. Negative selection algorithms, inspired by biological immune systems, offer a novel approach to anomaly detection by efficiently distinguishing between normal and anomalous data points. When combined with various classification techniques, these algorithms can improve the accuracy and robustness of anomaly detection systems. This abstract explores the integration of negative selection algorithms with traditional (...) and advanced classification methods to optimize anomaly detection processes. By leveraging these combined approaches, the study aims to address challenges such as false positives, detection latency, and adaptability to diverse data environments. The findings suggest that the synergy of negative selection algorithms and classification techniques can lead to more precise and reliable detection of anomalies, providing valuable insights for applications across cybersecurity, finance, healthcare, and other critical fields. (shrink)

As the adoption of cloud computing continues to grow, so do the concerns about the security of sensitive data and applications. Cloud environments are often seen as vulnerable to cyber-attacks due to their centralized nature and exposure to the internet. Edge computing, a distributed computing paradigm that brings computation and data storage closer to the data source, is emerging as a solution to enhance cloud security. By processing data closer to the edge of the network, edge computing reduces the reliance (...) on centralized cloud servers, lowering latency and mitigating risks associated with centralized cloud security models. This paper explores the integration of edge computing with cloud security, discussing how it strengthens security frameworks through reduced attack surfaces, real-time threat detection, and decentralized risk management. We examine the benefits, challenges, and performance considerations of edge computing in securing cloud environments and propose a model for implementing this hybrid approach in modern digital infrastructures. (shrink)

Theory of multiple thinking environments As there is a physical environment, there exists a psychological environment that governs many psychological processes including our thinking. This psychological environment is unique to each person and is framed in the initial few years since the child is born and represents the native environment of that person. This psychological environment is a collection of all those elements responsible for it to become a source of thought and maintain that thought for its life cycle. (In (...) this context I am limiting this concept to explain the thinking process). Though the extensive list of parameters should include many parameters the collection basically should consists of values that are stored in the mind like memories, beliefs, feelings, perceptions and some unknown factors. One such unknown factor is a controlling factor which control values for a specific thinking environment. This psychological environment is mother for many Thinking environments. Mind is capable of creating, nurturing, sustaining, interacting and destroying multiple thinking environments from its native psychological environment resulting in to various thoughts, diminishing or strengthening, to fathom in to either memories or actions. Thinking environments are basically two types, reactive and neutral. Thinking environments are temporary i.e., they are mostly limited to a task or situation or condition etc. Neither psychological environment nor thinking environments have physical existence and every action by a person impacts his psychological environment. (shrink)

Data mining technology for healthcare purposes transforms basic medical information into useful insights which helps doctors predict diseases along with diagnosing patients while tailoring personalized treatment plans. A successful healthcare analytics process requires a complete data pipeline which includes data preprocessing followed by extraction then selection after optimization until classification. Data preprocessing implements the Z-Score Method together with Isolation Forest along with Interquartile Range (IQR) Method to detect outliers which would potentially harm model performance. The Principal Component Analysis (PCA) serves (...) as an extraction method to reduce dimensions alongside log transformation which addresses data skewness to establish data stability. Wrapper methods Recursive Feature Elimination (RFE) together with Genetic Algorithms build predictive accuracy by continuously refining the selected feature subsets. Model performance enhancement relies on the Adam optimizer together with other optimization methods that aid in achieving high accuracy during medical outcome predictions. Adam Optimization optimization achieved a maximum training accuracy of 1.0 while validation accuracy reached 0.9 as the optimal value. Improvements in loss functionality decreased it from 45 to almost zero levels proving successful learning takes place. Analysis showed that the model demonstrated a positive trend in both validation accuracy levels despite periodic accuracy difficulties because the pipeline functioned well for predicting CKD conditions. Future work will direct its attention towards adjusting model performance by fine-tuning along with regularization techniques and additional data acquisition for enhancing generalization capabilities. (shrink)

Data mining technology for healthcare purposes transforms basic medical information into useful insights which helps doctors predict diseases along with diagnosing patients while tailoring personalized treatment plans. A successful healthcare analytics process requires a complete data pipeline which includes data preprocessing followed by extraction then selection after optimization until classification. Data preprocessing implements the Z-Score Method together with Isolation Forest along with Interquartile Range (IQR) Method to detect outliers which would potentially harm model performance. The Principal Component Analysis (PCA) serves (...) as an extraction method to reduce dimensions alongside log transformation which addresses data skewness to establish data stability. Wrapper methods Recursive Feature Elimination (RFE) together with Genetic Algorithms build predictive accuracy by continuously refining the selected feature subsets. Model performance enhancement relies on the Adam optimizer together with other optimization methods that aid in achieving high accuracy during medical outcome predictions. Adam Optimization optimization achieved a maximum training accuracy of 1.0 while validation accuracy reached 0.9 as the optimal value. Improvements in loss functionality decreased it from 45 to almost zero levels proving successful learning takes place. Analysis showed that the model demonstrated a positive trend in both validation accuracy levels despite periodic accuracy difficulties because the pipeline functioned well for predicting CKD conditions. Future work will direct its attention towards adjusting model performance by fine-tuning along with regularization techniques and additional data acquisition for enhancing generalization capabilities. (shrink)

This article investigates the critical role of domain knowledge in enhancing the effectiveness and accuracy of data analysis across various industries. Through a comprehensive examination of case studies in finance, healthcare, and retail sectors, we demonstrate how industry-specific expertise significantly improves data interpretation, metric selection, and the derivation of actionable insights. The article highlights the synergistic relationship between technical, analytical skills and a deep understanding of industry contexts, revealing that domain experts are better positioned to identify meaningful patterns, develop accurate (...) predictive models, and generate more relevant insights for stakeholders. We provide practical strategies for data analysts to acquire and integrate domain knowledge into their analytical practices, including collaboration with subject matter experts, targeted industry research, and participation in sector-specific training. The article also explores challenges such as potential biases, balancing generalist and specialist skills, and keeping pace with rapidly evolving industries. Furthermore, we examine future directions, including the role of AI and machine learning in augmenting domain expertise and the emergence of new interdisciplinary approaches and industry-specific tools. Our findings have significant implications for both aspiring data analysts seeking to specialize in specific industries and organizations aiming to optimize their analytical capabilities in an increasingly complex data landscape. (shrink)

The adoption of multi-cloud environments has become a strategic necessity for organizations seeking scalability, flexibility, and operational efficiency. However, distributing workloads across multiple cloud providers introduces significant security challenges, including authentication vulnerabilities, inconsistent security policies, data breaches, and compliance risks. Traditional security approaches often fail to address the complexity of multi-cloud ecosystems, requiring a more comprehensive risk mitigation strategy. This paper analyses key security risks in multi-cloud architectures and evaluates industry-standard risk assessment frameworks to prioritize effective countermeasures. Our findings indicate (...) that authentication, access control, and secure cloud networking are the most critical areas requiring immediate attention. Threats such as identity mismanagement, insecure data transfers, and lack of unified monitoring further escalate security concerns. To mitigate these risks, we propose a combination of zero-trust architecture, robust identity and access management (IAM), encryption protocols, and AI-driven threat detection. Implementing these strategies can enhance data integrity, regulatory compliance, and overall cloud security posture. By adopting a proactive approach, IT leaders can optimize cybersecurity investments and ensure the resilience of multi-cloud environments. This study provides actionable insights to strengthen security in distributed cloud architectures, enabling organizations to defend against evolving cyber threats. (shrink)

Deep fakes, a technology enabling the creation of highly realistic fake images and videos through face-swapping, have sparked significant attention due to their potential for misuse. This paper explores the technologies behind deep fakes and categorizes them into four types: deep fake pornography, political campaigns, commercial uses, and creative content. The authors discuss the ethical and regulatory challenges associated with each category. Initially, deep fakes were used maliciously, such as in revenge porn and political manipulation, which led to widespread fear. (...) However, like many technologies before it, deep fakes may eventually become more widely accepted. The paper also examines the role of online platforms and governments in addressing these issues and offers an optimistic view of how the democratization of AI might help resolve the ethical concerns surrounding deep fakes. -/- . (shrink)

The public health crisis is started with emergence of new coronavirus on 11 February 2020 which triggered as coronavirus disease-2019 (COVID-19) pandemics. The causative agent in COVID-19 is made up of positively wrapped single-stranded RNA viruses ~ 30 kb in size. The epidemiology, clinical features, pathophysiology, and mode of transmission have been documented well in many studies, with additional clinical trials are running for several antiviral agents. The spreading potential of COVID-19 is faster than its two previous families, the severe (...) acute respiratory syndrome coronavirus (SARS-CoV) and the Middle East respiratory syndrome coronavirus (MERS-CoV). Apart from clinical manifestation, comorbid status is playing key role for prevalence of COVID-19 infection and mortalities. The comorbid effects associated with COVID-19 are diabetes, cardiovascular, digestive, hepatitis-B, cerebrovascular, hypertension, liver injury, coronary heart disease, cancer, rheumatoid arthritis, and neurological impairment. Antimalarial drugs (chloroquine and hydroxychloroquine), remdesivir, Tocilizumab, clopinavir/ritonavir, convalescent plasma therapy, spike protein-angiotensin-converting enzyme 2 (ACE2) inhibitors, human monoclonal antibodies, mRNA-1273, mesenchymal stem cells, Indian and Chinese traditional medicine, small molecules antioxidant, natural products and dietary supplements, high doses of vitamin-E, -C, -D, minerals, flavonoids,and IFN-beta are therapeutic intervention running to develop treatment against COVID-19. Although clinical usage of these therapeutic agents against COVID-19 is well documented, cytokine storms, absence of appropriate animal model have limited its therapeutic use. This review explores the clinical information currently available on COVID-19 on the mechanisms of infection, prevention, management, comorbid status, and current drug treatment options. (shrink)

The convergence of cloud computing, blockchain technology, and the emerging era of quantum computing presents significant challenges for data security. This research tackles these growing vulnerabilities by introducing a comprehensive security framework that integrates Quantum Key Distribution (QKD), CRYSTALS-Kyber, and Zero-Knowledge Proofs (ZKPs) to protect data in cloud-based blockchain systems. The primary goal is to safeguard information against quantum threats through QKD, a quantum-secure cryptographic protocol. To enhance resilience against quantum attacks, the framework employs CRYSTALSKyber, a lattice-based encryption mechanism. Additionally, (...) ZKPs are utilized to strengthen privacy and verification processes within cloud and blockchain ecosystems. A key aspect of this study is the performance evaluation of the proposed framework, focusing on encryption and decryption efficiency, quantum key generation rates, and overall system performance. The analysis examines practical considerations such as file size, response time, and computational overhead to assess the framework’s real-world applicability. The findings highlight the framework’s effectiveness in mitigating quantum threats and securing cloud-based blockchain storage. By addressing critical gaps in both theoretical research and practical implementation, this study provides valuable insights for organizations seeking quantum-resistant data security solutions. The framework’s efficiency and scalability demonstrate its feasibility, offering a roadmap for securing cloud environments against the evolving challenges posed by quantum computing and blockchain integration. (shrink)

: As cloud-native architectures continue to evolve, microservices have become the foundation for scalable and resilient applications. However, the decentralized nature of microservices introduces significant security challenges, including service-to-service communication security, identity management, and traffic control. Service mesh technologies, such as Istio, Linkerd, and Consul, provide a powerful solution by offering decentralized security enforcement, mutual TLS (mTLS) encryption, fine-grained access control, and observability without modifying application code. This paper explores how service meshes enhance microservices security by implementing zero-trust policies, automatic (...) traffic encryption, and service authentication mechanisms. Through the integration of policy-based access control, workload identity, and anomaly detection, service mesh architectures significantly reduce the risk of unauthorized access, lateral movement attacks, and data breaches. Additionally, this study highlights best practices for deploying secure service meshes in cloud-native environments, ensuring compliance with industry security standards. The findings demonstrate that adopting a service mesh improves security posture while maintaining agility and performance in microservices-based applications. (shrink)

The adoption of multi-cloud environments has become a strategic necessity for organizations seeking scalability, flexibility, and operational efficiency. However, distributing workloads across multiple cloud providers introduces significant security challenges, including authentication vulnerabilities, inconsistent security policies, data breaches, and compliance risks. Traditional security approaches often fail to address the complexity of multi-cloud ecosystems, requiring a more comprehensive risk mitigation strategy. This paper analyses key security risks in multi-cloud architectures and evaluates industry-standard risk assessment frameworks to prioritize effective countermeasures. Our findings indicate (...) that authentication, access control, and secure cloud networking are the most critical areas requiring immediate attention. Threats such as identity mismanagement, insecure data transfers, and lack of unified monitoring further escalate security concerns. To mitigate these risks, we propose a combination of zero-trust architecture, robust identity and access management (IAM), encryption protocols, and AI-driven threat detection. Implementing these strategies can enhance data integrity, regulatory compliance, and overall cloud security posture. By adopting a proactive approach, IT leaders can optimize cybersecurity investments and ensure the resilience of multi-cloud environments. This study provides actionable insights to strengthen security in distributed cloud architectures, enabling organizations to defend against evolving cyber threats. (shrink)

Husserl's Phenomenology: A Lacanian and Feminist Reappraisal -/- This study undertakes a comprehensive critique of Edmund Husserl's phenomenology, highlighting its limitations and omissions. Through Lacanian psychoanalysis, feminist perspectives, and intersubjective theories, this analysis challenges Husserl's notions of bracketing, reduction, and absolute givenness. Key concerns include the neglect of unconscious dynamics, symbolic structures, embodied experience, and cultural contexts. Critics such as Zizek, Sartre, Quine, and Rorty are engaged in addressing issues of solipsism, truth, and ideology. This evaluation underscores the need for (...) phenomenology to integrate diverse perspectives, ensuring a more inclusive and nuanced understanding of human experience. -/- Keywords: Husserl, Phenomenology, Lacanian Psychoanalysis, Feminist Theory, Intersubjectivity, Critical Evaluation. (shrink)

The rapid advancement of quantum computing poses a significant threat to classical cryptographic systems, particularly those based on RSA, ECC, and other public-key algorithms. With Shor’s algorithm capable of efficiently factoring large numbers and breaking current encryption standards, the transition to postquantum cryptography (PQC) has become a global priority. This paper explores the impact of quantum computing on cryptographic security, the need for quantum-resistant cryptographic algorithms, and ongoing standardization efforts led by organizations such as NIST. We analyze various post-quantum cryptographic (...) techniques, including lattice-based, hash-based, multivariate, and code-based cryptography, assessing their feasibility for real-world implementation. Additionally, we discuss the challenges associated with transitioning to PQC, including computational overhead, interoperability, and regulatory compliance. As the quantum era approaches, organizations must proactively adopt post-quantum cryptographic solutions to safeguard sensitive data and ensure long-term security in a quantum-capable world. (shrink)

With the rapid evolution of information technology, malware has become an advanced cybersecurity threat, targeting computer systems, smart devices, and large-scale networks in real time. Traditional detection methods often fail to recognize emerging malware variants due to limitations in accuracy, adaptability, and response time. This paper presents a comprehensive review of machine learning algorithms for real-time malware detection, categorizing existing approaches based on their methodologies and effectiveness. The study examines recent advancements and evaluates the performance of various machine learning techniques (...) in detecting malware with minimal false positives and improved scalability. Additionally, key challenges, such as adversarial attacks, computational overhead, and real-time processing constraints, are discussed, along with potential solutions to enhance detection capabilities. An empirical evaluation is conducted to assess the effectiveness of different machine learning models, providing insights for future research in real-time malware detection. -/- . (shrink)

Hybrid Electric Vehicles (HEVs) have gained significant popularity due to their reduced environmental impact and fuel efficiency. However, the complex integration of electrical and mechanical systems in HEVs presents significant cooling challenges. A robust cooling system is essential to maintain optimal performance and extend the lifespan of powertrains and battery systems. This paper explores the development of an advanced cooling system designed specifically for HEV powertrains, leveraging modern technologies such as heat exchangers, liquid cooling, and smart thermal management systems. The (...) proposed system uses adaptive cooling mechanisms that adjust based on real-time vehicle operating conditions to maximize efficiency and reduce energy consumption. Additionally, machine learning algorithms are integrated into the cooling system for predictive maintenance, identifying potential issues before they arise. By optimizing thermal management, the system ensures higher efficiency, improved vehicle performance, and a longer life for HEV components. This paper presents an analysis of the current cooling technologies in HEVs, identifies gaps in their functionality, and proposes a novel cooling framework that addresses these limitations, making HEVs more viable for long-term sustainability and performance. Keywords: Hybrid Electric Vehicle (HEV), Powertrain. (shrink)

The assessment of cloud data loss prevention and encryption was the main emphasis of the current study. Cloud computing, another name for cloud-based technologies, boosts organizational effectiveness for appropriate data management procedures. By improving data visualization, cloud-based data loss or leakage prevention (DLP) helps businesses comprehend the risks and problems associated with appropriate data management. This study demonstrated how to handle data with encryption. The growth of company processes and the effective management of all activities through data management can benefit (...) from cloud loss prevention. Cloud computing that is IoT and AI based evaluates the underlying reasons and offers a comprehensive understanding of business issues. As a result, they may encourage ongoing development and enhance their data loss risk management offerings. (shrink)

Hybrid cloud environments combine private and public cloud infrastructures to optimize security, scalability, and cost-effectiveness. However, ensuring secure access control in such environments remains a critical challenge due to dynamic workloads, multi-tenancy, and cross-cloud authentication complexities. This paper explores access control models tailored for secure hybrid cloud deployment, focusing on Role-Based Access Control (RBAC), Attribute-Based Access Control (ABAC), and emerging Zero Trust principles. We analyze their effectiveness in mitigating unauthorized access, privilege escalation, and insider threats. Additionally, a novel hybrid model (...) integrating RBAC and ABAC is proposed to enhance security and flexibility while ensuring compliance with regulatory frameworks. The study also highlights the role of federated identity management and blockchain-based access control mechanisms in strengthening authentication and authorization in hybrid cloud environments. The results indicate that adaptive access control strategies can significantly enhance security without compromising performance. Future research should focus on AI-driven access control mechanisms and self-learning security models to further improve dynamic access control in hybrid cloud settings. (shrink)

इस पर्चे में मैंने विज्ञान के विकास को आधुनिकता की पृष्टभूमि में मानव-मुक्ति के लक्ष्य की दशा व दिशा के सन्दर्भ में आलोचनात्मक विश्लेषण पद्धति से समझने का प्रयास किया है। इस कार्य के लिए मैंने पेपर में चार प्रमुख बिंदुओं को उढाया है। -/- पहला बिंदु विज्ञान की मूल्य निरपेक्षता (Value neutrality) को लेकर है जिसके तहत मैंने पूँजी के साथ विज्ञान के संबंध को समझने का प्रयास किया है। -/- दूसरे बिंदु में विज्ञान शिक्षा और सामाजिक सरोकार के (...) संबंध को वैज्ञानिक तार्किकता (Scientific rationality) और यांत्रिक तार्किकता (Instrumental rationality) के सन्दर्भ में समझने का प्रयास किया है। -/- तीसरे बिंदु में समाज में विज्ञान के अधिपत्य को लेकर उठाया गया है जिसके कारण विज्ञान का अन्य प्रकार की ज्ञान प्रणालियों से संबंध विच्छेद करने की प्रवित्ति को बढ़ावा मिलता है। -/- चौथे एवं अंतिम बिंदु में मैंने विज्ञान, तकनीक व विज्ञान का समाज के प्रति नैतिक उत्तरदायित्व के अंतरसंबंध को समझने का प्रयास किया है। . (shrink)

Human beings as self-conscious, aesthetic, sympathetic, and empathetic beings develop various ways to live in this world. They continue to aspire for a better version of themselves and their lives. In this process, they developed certain ethical norms, social practices, and ways to perceive and understand this world. These qualities become the basis for proactive steps of spirituality which in turn become the foundation of religion. In human history, religion has helped individuals to fulfill various human needs irrespective of their (...) culture. Despite differences in the content of various religious philosophies, mythological structures, and religious ceremonies, it gave a sense of meaning and purpose to human beings. Because of its omnipresence, many philosophers along with biological and cultural evolutionary researchers have suggested coming up with a universal explanation for religion. -/- Nevertheless, religion was also employed as a means of exploitation by the powerful elites in various societies. Thus, many times, it worked as an orthodox, deceptive, and enslaving force for humanity. Modern thought emphasized the later effects of religion and found it less emancipatory. -/- Hence, enlightenment philosophy focused on rationality as a significant aspect of human beings. Besides, the development of science has unfolded various hidden and hitherto mysterious natural phenomena to mankind. This change has brought rationality to the forefront of human existence every institution began to build around this notion of human being. Even the death of God was announced by Nietzsche with grief in 1885. -/- Was it really the death of God? Can human beings live without religion sanely? These questions become very relevant particularly in recent times when we see resurgence of religious identities in the political and social discourses. However, consumer mythology and consumer culture remain at the forefront while making decisions in our daily lives across cultures. Even sometimes, religious identities are absorbed by powerful market forces; how to understand this contradictory phenomenon? -/- Between both these understandings, this paper sets three objectives for itself – first, to analyze the human need for religion from a psychological and existential perspective. Second, it critically evaluates the secular thesis as put forward by European enlightenment thinkers in the light of contemporary consumerist mythology. The third objective involves a brief description of universal religion and its relevance at this time. (shrink)

In the contemporary era, we identify ourselves based on what we consume or what we possess. Besides, various advertisements, celebrities, and other influential personalities encourage and make us believe that we can make a new identity by consuming a specific brand, or relating to a particular institution or connecting with an extraordinary group, etc. Hence, we tend to identify ourselves with consumer goods. In such conditions, Srimad Bhagwat Gita becomes significantly relevant to look for alternative way of life. This paper (...) attempts to explore the concept of Self in Gita as a model for realizing environmental consciousness. Largely, it will analyse the concepts of Nishkama Karma (Detached Action) and the Self to see what it may contribute in developing an apt environmental consciousness. With the analysis of these concepts the paper tries to probe for an epistemological and metaphysical alternative to the Ecology understanding. (shrink)

Deep fakes, a technology enabling the creation of highly realistic fake images and videos through face-swapping, have sparked significant attention due to their potential for misuse. This paper explores the technologies behind deep fakes and categorizes them into four types: deep fake pornography, political campaigns, commercial uses, and creative content. The authors discuss the ethical and regulatory challenges associated with each category. Initially, deep fakes were used maliciously, such as in revenge porn and political manipulation, which led to widespread fear. (...) However, like many technologies before it, deep fakes may eventually become more widely accepted. The paper also examines the role of online platforms and governments in addressing these issues and offers an optimistic view of how the democratization of AI might help resolve the ethical concerns surrounding deep fakes. (shrink)

Twenty first century is posing unprecedented challenges for the human existence and development. This era has witnessed awesome economic & technological growth, increased connectedness but great poverty, malnutrition, anxiety, mental stress and environmental degradation. Thus, this time depicts great contradiction, uncertainty, and risk. Accordingly, in this era a holistic education system has to deal with the challenges such as population growth, terrorism, environmental degradation, hegemony of machines, mental stress, cultivating creativity, bridging the skill and wisdom gap, and expanding human potential (...) etc. To find a sustainable solution to such challenges, we need to develop a holistic education system which acknowledges various dimension of human being. For this task, this paper will try to highlight some philosophical themes which are commonly suggested by various prominent thinkers such as M.K. Gandhi, R.N. Tagore, J. Krishnamurti, S. Radhakrishnan etc. in India, and J. Dewey, I. Illich, and B. Russell etc. in the west. They have put forward their philosophy to discuss the aims of education which are relevant to this century. In this paper, we will analyze their views from the perspective of the challenges that the twenty-first century world is going to face. Our investigation will analyze agreements and disagreements among the approaches taken by these educators. However, the focus will be on the commonalities, so that we can identify some philosophical themes which can work as the solid foundation for holistic model of education. (shrink)

Pension service institutions are quickly going digital as they cope with increased service requirements, the demands of regulatory compliance, and challenges posed by cybersecurity. Legacy pension management systems usually have limited scope, are inefficient, and do not provide security on-premise infrastructure (Gartner, 2023). These aspects result in inefficiencies that create delays in processing pensions, an increase in the risk of fraud, and escalated operational costs (Ponemon Institute, 2023). The most critical aspect regarding pension transactions involves the secure, efficient, and scalable (...) service delivery because it entails sensitive financial information; therefore, it becomes very important to governments, financial institutions, and private organizations (Forrester Research, 2022). This research proposes the Azure-based framework aiming to enhance the management of pension service requests focusing on scalability, security, AI-powered automation, and regulatory compliance. The proposed system uses Azure Virtual Machines, Azure Kubernetes Service, and Load Balancers to perform the optimized resource provisioning for high availability. A zero-trust security model has been categorized to protect pension data from cyber threats, reinforced with Azure Active Directory, Key Vault, Multi-Factor Authentication, and the Reserve (ISO 2021). The research also embeds Azure Bot Services and Azure Cognitive Services as an AI-driven anti-fraud detection tool integrated into the system to automate customer service and workflow management within the fraud prevention ecosystem (Accenture, 2023). Automatic rule enforcement and real-time security monitoring could ensure compliance with GDPR, HIPAA, and ISO 27001 (Microsoft, 2023). In the research approach to systematic architectural design, Infrastructure as a Service and Platform as a Service is combined using encryption techniques with the Azure Key Vault and private cloud connectivity with Azure ExpressRoute. AI-based pension request processing along with prescriptive analytics and real-time fraud detection with Azure Machine Learning and Synapse Analytics complete the solution proposed. A performance evaluation framework was developed to assess enhancements in processing time for pension requests and reduction of fraudulent claims as well as scaling of the system during peak loads and compliance adherence under security audits. The empirical evidence gained from real-life business cases shows that pension automation based on Azure reduces the time for pension processing by as much as 80%, drastically improving service efficiency (PwC, 2022). Whereas the AI-based mechanism for the detection of fraud reduces fraudulent claims for pensions by 70% (IBM Cloud Research, 2022), Azure guarantees 99.99% uptime with its highly available configurations. Enhanced compliance monitoring, with a reduction in policy violation incidents by 60% (ISO, 2023), is another feature of the system. Future research will look toward blockchain for transaction management of pension funds, further down in edge computing for quicker processing, and AI for investment advisory systems in pension management, all aimed at optimizing pension services management. This research propagates the cause of digital transformation in pension management through a demonstration of a secure, scalable, and AI-enabled model with further extensibility toward healthcare benefits, insurance claims, and the automation of financial services. (shrink)

The convergence of cloud computing, blockchain technology, and the emerging era of quantum computing presents significant challenges for data security. This research tackles these growing vulnerabilities by introducing a comprehensive security framework that integrates Quantum Key Distribution (QKD), CRYSTALS-Kyber, and Zero-Knowledge Proofs (ZKPs) to protect data in cloud-based blockchain systems. The primary goal is to safeguard information against quantum threats through QKD, a quantum-secure cryptographic protocol. To enhance resilience against quantum attacks, the framework employs CRYSTALSKyber, a lattice-based encryption mechanism. Additionally, (...) ZKPs are utilized to strengthen privacy and verification processes within cloud and blockchain ecosystems. A key aspect of this study is the performance evaluation of the proposed framework, focusing on encryption and decryption efficiency, quantum key generation rates, and overall system performance. The analysis examines practical considerations such as file size, response time, and computational overhead to assess the framework’s real-world applicability. The findings highlight the framework’s effectiveness in mitigating quantum threats and securing cloud-based blockchain storage. By addressing critical gaps in both theoretical research and practical implementation, this study provides valuable insights for organizations seeking quantum-resistant data security solutions. The framework’s efficiency and scalability demonstrate its feasibility, offering a roadmap for securing cloud environments against the evolving challenges posed by quantum computing and blockchain integration. (shrink)

As cloud-native architectures continue to evolve, microservices have become the foundation for scalable and resilient applications. However, the decentralized nature of microservices introduces significant security challenges, including service-to-service communication security, identity management, and traffic control. Service mesh technologies, such as Istio, Linkerd, and Consul, provide a powerful solution by offering decentralized security enforcement, mutual TLS (mTLS) encryption, fine-grained access control, and observability without modifying application code. This paper explores how service meshes enhance microservices security by implementing zero-trust policies, automatic traffic (...) encryption, and service authentication mechanisms. Through the integration of policy-based access control, workload identity, and anomaly detection, service mesh architectures significantly reduce the risk of unauthorized access, lateral movement attacks, and data breaches. Additionally, this study highlights best practices for deploying secure service meshes in cloud-native environments, ensuring compliance with industry security standards. The findings demonstrate that adopting a service mesh improves security posture while maintaining agility and performance in microservices-based applications. (shrink)

The rapid advancement of quantum computing poses a significant threat to classical cryptographic systems, particularly those based on RSA, ECC, and other public-key algorithms. With Shor’s algorithm capable of efficiently factoring large numbers and breaking current encryption standards, the transition to postquantum cryptography (PQC) has become a global priority. This paper explores the impact of quantum computing on cryptographic security, the need for quantum-resistant cryptographic algorithms, and ongoing standardization efforts led by organizations such as NIST. We analyze various post-quantum cryptographic (...) techniques, including lattice-based, hash-based, multivariate, and code-based cryptography, assessing their feasibility for real-world implementation. Additionally, we discuss the challenges associated with transitioning to PQC, including computational overhead, interoperability, and regulatory compliance. As the quantum era approaches, organizations must proactively adopt post-quantum cryptographic solutions to safeguard sensitive data and ensure long-term security in a quantum-capable world. (shrink)

This paper attempts to argue that it is categorization, not generalization, that is more valuable by examining essence, interest, ontology, rationalism, and truth. While generalization is invariably oversimplified, categorization gives an exact insight with a fine grain into the entities by referring to their intrinsic properties. Categorization supplies an ordered, transparent form for knowledge through a rationalist approach, thereby arriving at clearer and more accurate representations of reality. The importance of categorization lies in its philosophical contribution to differentiating things in (...) the world, increasing understanding of related complexities, and hence showing it to be superior to generalization. (shrink)

With the rapid evolution of information technology, malware has become an advanced cybersecurity threat, targeting computer systems, smart devices, and large-scale networks in real time. Traditional detection methods often fail to recognize emerging malware variants due to limitations in accuracy, adaptability, and response time. This paper presents a comprehensive review of machine learning algorithms for real-time malware detection, categorizing existing approaches based on their methodologies and effectiveness. The study examines recent advancements and evaluates the performance of various machine learning techniques (...) in detecting malware with minimal false positives and improved scalability. Additionally, key challenges, such as adversarial attacks, computational overhead, and real-time processing constraints, are discussed, along with potential solutions to enhance detection capabilities. An empirical evaluation is conducted to assess the effectiveness of different machine learning models, providing insights for future research in real-time malware detection. Keywords: Real-t. (shrink)

Hybrid cloud environments combine private and public cloud infrastructures to optimize security, scalability, and cost-effectiveness. However, ensuring secure access control in such environments remains a critical challenge due to dynamic workloads, multi-tenancy, and cross-cloud authentication complexities. This paper explores access control models tailored for secure hybrid cloud deployment, focusing on Role-Based Access Control (RBAC), Attribute-Based Access Control (ABAC), and emerging Zero Trust principles. We analyze their effectiveness in mitigating unauthorized access, privilege escalation, and insider threats. Additionally, a novel hybrid model (...) integrating RBAC and ABAC is proposed to enhance security and flexibility while ensuring compliance with regulatory frameworks. The study also highlights the role of federated identity management and blockchain-based access control mechanisms in strengthening authentication and authorization in hybrid cloud environments. The results indicate that adaptive access control strategies can significantly enhance security without compromising performance. Future research should focus on AI-driven access control mechanisms and self-learning security models to further improve dynamic access control in hybrid cloud settings. (shrink)

Factor Affecting Customer Service in Supply Chain Management of Small and Medium Enterprises: An Empirical Study of Jammu Region -/- Author / Authors : Sanjeev Lalhotra and Prof. B.C Sharma Page no.149-165 Discipline : Applied Economics/ Management/ Commerce Script/language : Roman/English Category : Research paper Keywords: Customer services, Supply Chain Management, Small and Medium Enterprises.

The rapid proliferation of Internet of Things (IoT) devices in smart cities has introduced numerous benefits, enhancing urban efficiency, sustainability, and automation. However, these interconnected systems also pose significant cybersecurity challenges, including data breaches, unauthorized access, and cyberattacks that can compromise critical infrastructure. This paper explores various cybersecurity strategies tailored for IoT environments in smart cities, focusing on encryption techniques, secure authentication mechanisms, network security protocols, and blockchain-based security models. Additionally, it discusses machine learningbased anomaly detection systems to identify potential (...) cyber threats in real time. By analyzing existing security frameworks and emerging solutions, this study provides a comprehensive approach to safeguarding IoT devices in smart urban ecosystems. The findings emphasize the need for a multi-layered security model and proactive threat mitigation strategies to ensure the resilience and integrity of smart city infrastructures. (shrink)

: The rapid proliferation of Internet of Things (IoT) devices in smart cities has introduced numerous benefits, enhancing urban efficiency, sustainability, and automation. However, these interconnected systems also pose significant cybersecurity challenges, including data breaches, unauthorized access, and cyberattacks that can compromise critical infrastructure. This paper explores various cybersecurity strategies tailored for IoT environments in smart cities, focusing on encryption techniques, secure authentication mechanisms, network security protocols, and blockchain-based security models. Additionally, it discusses machine learningbased anomaly detection systems to identify (...) potential cyber threats in real time. By analyzing existing security frameworks and emerging solutions, this study provides a comprehensive approach to safeguarding IoT devices in smart urban ecosystems. The findings emphasize the need for a multi-layered security model and proactive threat mitigation strategies to ensure the resilience and integrity of smart city infrastructures. (shrink)

The assessment of cloud data loss prevention and encryption was the main emphasis of the current study. Cloud computing, another name for cloud-based technologies, boosts organizational effectiveness for appropriate data management procedures. By improving data visualization, cloud-based data loss or leakage prevention (DLP) helps businesses comprehend the risks and problems associated with appropriate data management. This study demonstrated how to handle data with encryption. The growth of company processes and the effective management of all activities through data management can benefit (...) from cloud loss prevention. Cloud computing that is IoT and AI based evaluates the underlying reasons and offers a comprehensive understanding of business issues. As a result, they may encourage ongoing development and enhance their data loss risk management offerings. -/- . (shrink)

This work is a robust cloud native observability framework for monitor large scale real time of insurance systems. The improved system transparency, performance and fault diagnosis that is brought in by the integration of distributed tracing, log aggregation and metrics is proposed in this architecture. Experimental validation shows its effectiveness towards improving reliability and scalability while keeping operational efficiency in place in those environments built on microservices.

The escalating global environmental issues highlight a significant deficiency in teacher education concerning pre-service teachers' competencies in addressing environment sensitive issues. In educational settings, contemporary techniques predominantly focus on attitudes, neglecting crucial elements such as environmental knowledge and skills. The present study aims to create and validate a standardized assessment scale, the Environmental Knowledge, Attitude, and Skill (EKAS) Scale, to comprehensively assess pre service teachers' competencies regarding environmental issues. Data were collected from 378 third-year pre-service teachers in science and social (...) science disciplines at a teacher education institute utilizing a purposive sampling method. The EKAS Scale comprises 82 multiple-choice items and was developed and verified in a five-step procedure that included expert feedback, item validation, and reliability testing, yielding a Cronbach's alpha of 0.80. The scale assesses teachers' competencies in three significant domains: understanding of environmental content knowledge, attitudes toward the environment, and environmental skill. The findings indicate that a considerable percentage of pre-service teachers exhibit insufficient knowledge (55.03%), limited environmental skills (45.76%), and unfavorable attitudes (47.09%) regarding environment-sensitive issues. Furthermore, pre-service teachers in the science stream achieved significantly higher scores than those in the social science stream, indicating notable differences in environmental competency across disciplines. The conclusions underscore the need for interdisciplinary incorporation of environment-sensitive issues in teacher preparation courses. The EKAS Scale offers a comprehensive framework for informing curriculum development, directing professional training, and shaping legislative reforms to improve environmental literacy among future educators. The present assessment tool can cultivate proficient, environmentally conscious instructors capable of imparting sustainable perspectives to future generations. (shrink)

Sign Language recongnition is getting more and more attention of the researchers due to its widespread applicability in many fileds. Conversation between both the deaf and the general population is becoming exceedingly challenging, and there is no reputable translator accessible in society to aid. This program enables real- time voice and signal language translation, in distinctive : 1. Recognizing male or female signals 2. Establishing a system learning model for interpreting image-to-text data. 3. Seeking innovative terms Four. 4. Constructing Sentences.5. (...) After creating all of the content. 6. Is to obtain the audio output. The goal of this research is yto develop a framework for potential sign language interpreter who could also translate conversations between sign languages into written and spoken English. If there had a translator like this, it would be much easier for many deaf and partially deaf people to interact with others in everyday situations. (shrink)

This paper expounds a philosophical approach aimed at the reconsideration of the relationship of human beings to nature, via Naess, who remains one of the interlocutors in the field of environmental ethics and founder of Deep Ecology. The tortuous pathway human-nature relations communication is explained, showing how ancient civilizations, Greeks included, recognised nature with respect and understood it as a harmonious and interrelated order. Yet with the emergence of Cartesian dualism at the dawn of modernity, nature becomes objectified, which piles (...) on a utilitarian view concealing anthropocentrism. This droves humankind farther away from nature. Underlying this change, which created a context in which the present fraying exists, was industrialization itself, along with the relevant technological advance and the final commodification of nature, with a utilitarian orientation where human interests took precedent over ecological integrity. This disconnect is the reason for putting together a paper with a philosophical and practical reorientation around Naess’s deep ecology. His ideas of “Self-realization,” “Biocentric Equality,” and “Ecological Wisdom” show ways forward for rebalancing things by letting people understand that they aren’t special compared to other beings in nature. People can only act to solve ecological degradation and fulfil existentially by adopting Naess’s ecocentric vision with a rebirth for an understanding of where they belong within the web we call life. More importantly, this research emphasizes how Naess’s deep ecological approach opens doors to empowering society ideologically toward living more sustainable and ethically ahead, with future generations of ecological health and human well-being Synergistics. -/- Keywords: Biocentric Equality, Deep Ecology, Ecological Wisdom, Human-Nature Relationship, Self-Realization. (shrink)

As the world grapples with an escalating ecological crisis, there is a growing realization of the need to rethink the very relation between humankind and the natural environment. This paper explores how Mahatma Gandhi's ecological thought meets the philosophy of deep ecology and how these together might inform more holistic approaches to sustainable development. Gandhi's philosophical framework, which is founded upon principles of nonviolence, simplicity, and a decentralized approach to community organization, presaged numerous fundamental aspects of the deep ecology movement. (...) Both ideologies contest anthropocentrism and promote an ecocentric perspective that acknowledges the intrinsic value of all living entities. The research also explores the similarity between the concept of Gandhi's "swaraj"-(self-rule) and the idea within deep ecology about self-realization, wherein a person's sense of identity is expanded to include all of nature. By examining a selection of Gandhi's written works in relation to academic scholarship on deep ecology, this paper discusses how a synthesis of these philosophies can enhance the development of more equitable and ecologically sensitive policies. This paper, therefore, explores how Gandhian principles and deep ecology can also help develop sustainable practices that prioritize ecological concerns and equity principles. The study also critically examines the challenges and limitations inherent in synthesizing Gandhi's philosophy with deeper and more radical aspects of the movement of deep ecology. In conclusion, this study adds to the continuing conversation regarding the significance of traditional ecological knowledge in mitigating the current environmental crisis. -/- . (shrink)

A study was carried out from October, 2020 to September, 2021to investigate the diversity of fishes and the conservation status of Chittaura Jheel (Bahraich), Uttar Pradesh. During the study period, 38 fish species belonging to 28 genera, 14 families and 7 orders have been identified. The order Cypriniformes was found the dominated order with 15 species(39.47%) followed by Siluriformes 10 species (26.31%), Perciformes 4 species (10.52%), Ophiocephaliformes 4 species (10.52%), Synbranchiformes2 species (5.26%), Osteoglossiformes 2 species (5.26%) and Clupiformes 1 species (...) (2.63 %), The present investigation showed that the wetland, Chittaura Jheel possesses rich fish biodiversity but proper conservation measures are required to maintain sustainability and richness of the fish species diversity of that wetland of U.P. According to IUCN, 30 were enlisted as Least Concern (LC), 2 species as near endangered (NE), 3 species as near threatened (NT), 2 listed as Endangered (EN) and 1 species was listed as Vulnerable (VU). There is a need of conservation of fish diversity of this natural wetland. The pressure is increasing day by day due to increasing population, leading to loss of fish diversity hence identifying the problem and making a better management plan is the way for conservation of the fish diversity of the Chittaura Jheel, a wetland of Bahraich district of Uttar Pradesh. (shrink)