This article is devoted to define and characterize ‘Science’ as a discipline by the fundamental principles of scientific investigation. In particular, we propose and argue that ‘Science’ be defined by a set of principles / criteria which underlies scientific- investigation. We argue that this set must include the following principles: (1) Rationality, (2) Objectivity (3) Universality, (4) Internal Consistency, (5) Uniqueness, (6) Reproducibility, (7) The Principle of Falsification, (8) Simplicity and Elegance and (9) Experimental Observation and Verification. We elaborate, through (...) illustrative examples, the justification of the above set of criteria. `Scientific temper’ essentially means the cultivation of these principles, as attitudes / value-system adopted as “ways of life”. We discuss the relevance of the inculcation of scientific temper in the modern context. Finally, the scope and limitations of the scientific method are highlighted and an attempt is made to dispel several misconceptions and myths associated with Science and scientists. (shrink)

The Unified Medical Language System and the Gene Ontology are among the most widely used terminology resources in the biomedical domain. However, when we evaluate them in the light of simple principles for wellconstructed ontologies we find a number of characteristic inadequacies. Employing the theory of granular partitions, a new approach to the understanding of ontologies and of the relationships ontologies bear to instances in reality, we provide an application of this theory in relation to an example drawn from the (...) context of the pathophysiology of hypertension. This exercise is designed to demonstrate how, by taking ontological principles into account we can create more realistic biomedical ontologies which will also bring advantages in terms of efficiency and robustness of associated software applications. (shrink)

An explicit formal-ontological representation of entities existing at multiple levels of granularity is an urgent requirement for biomedical information processing. We discuss some fundamental principles which can form a basis for such a representation. We also comment on some of the implicit treatments of granularity in currently available ontologies and terminologies (GO, FMA, SNOMED CT).

1. Over the last 50 years or so, and especially over the last few decades, the U.S. and many other societies have undergone a large, rapid, and broad decline in anti-gay attitudes. The magnitude, s...

A mixed methods study, this doctoral research explores the relationship between the classroom language assessment literacy (CLAL) and assessment practices of English teachers. It is based on the premise that if English teachers are properly oriented in assessment of language ability in classroom, the quality of classroom assessments will improve and in turn, teachers will be in a position to carry out “assessment for learning” effectively. The study is designed considering the assessment policies and practices in India as a whole. (...) The intervention takes place in three schools— a CBSE, a State-Board and an ICSE school— and six secondary school English teachers— two each from the above-mentioned schools— in Andhra Pradesh constituted the main participants. This research is significant in the sense that though the new assessment policy in schools demands that teachers carry out classroom assessments, and attaches a lot of importance to those, very little has been done to equip teachers with adequate skills and knowledge to enable them to meet the challenges of classroom assessment. This study tries to draw attention towards this problem and suggests a possible solution. For its theoretical framework, the study draws on classroom assessment, assessment literacy, second language teacher education, teacher development, teacher beliefs and teacher knowledge. The framework is built after studying and tracing the existing gaps in the research literature in areas relevant to the study. The study is conducted in three major phases: pre-intervention, intervention and postintervention. In the first phase, the researcher collects information about the CLAL of secondary school English teachers practicing in CBSE, state-board and ICSE schools through a state-wise survey. Then two teachers each from a CBSE, a state-board and an ICSE school are selected and information about their CLAL, beliefs about assessment and assessment practices is obtained. A teacher development (TD) programme based on the above-mentioned information is designed with a view to developing teachers’ CLAL. In the second phase, the programme is imparted separately to the three pairs of teachers for 18 hours. Records of teachers’ experience and the researcher’s observations are maintained during the intervention. In the last phase, once again, information is collected about the CLAL and assessment practices of the teachers in a similar manner as done in the first stage. Data are analysed both qualitatively and quantitatively, triangulated and meta-inferences are made after a few cross-case analyses. Finally, an effort is made to generalize and discuss the findings, state the implications of the study for policy makers, teacher education, curriculum designers, experts in language assessment and teacher educators, point out the limitations of the project and suggest directions for further research in the area of the study. The findings of the study suggest that there is a relationship between CLAL and assessment practices of teachers. But a lot of factors like the assessment policy at curricular level, institutional policy about assessment, motivation of teachers to utilize assessment for pedagogic purposes and their English language ability are found to have impact on teachers’ assessment practices. It is also found that a need-based TD programme can, to a great extent, generate the desired impact on teachers’ assessment practices. (shrink)

The project is aimed at an arduous task of precise identification of medicinal plant species with the problem being pertinent in those industries that include botany, Ayurveda, pharmacology, and biomedical research. Most of the traditional identification methods are quite serious challenges for users, researchers, and students because they are usually time-consuming, knowledge-intensive, and prone to human errors. Our proposal develops an advanced web-based application for this process by utilizing state-of-the-art methods in image processing and machine learning. We will create a (...) platform where users can upload or take pictures of plant specimens and obtain accurate identifications and comprehensive medical information by using machine learning algorithms with plant species image datasets. This application is done in a way that the interface would be user-friendly and favor research, identification, and learning, especially for Ayurvedic practitioners, biomedical specialists, botanists, and students. Therefore, our project is aimed at developing an exhaustive and reliable solution for medicinal plant identification and study by overcoming the deficiencies of existing systems, such as a small dataset, poor variable quality, and lack of complete medicinal information. (shrink)

We provide a methodology for the creation of ontological partitions in biomedicine and we test the methodology via an application to the phenomenon of blood pressure. An ontology of blood pressure must do justice to the complex networks of intersecting pathways in the organism by which blood pressure is regulated. To this end it must deal not only with the anatomical structures and physiological processes involved in such regulation but also with the relations between these at different levels of granularity. (...) For this purpose our ontology offers a variety of distinct partitions � of substances, processes and functions � and integrates these together within a single framework via transitive networks of part-whole and dependence relations among the entities in each of these categories. The paper concludes with a comparison of this methodology with the approaches of GOTM, KEGG, DIP and BIND and provides an outline of how the methodology is currently being applied in the field of biomedical database integration. (shrink)

In one of his earliest dialogues, the Soliloquia, Augustine identifies the liberal arts (disciplinae) with truth (veritas), and employs this somewhat puzzling identification as a premise in his infamous proof of the immortality of the soul (Sol. 2.24). In this paper, I examine Augustine’s argument for this peculiar identification. Augustine maintains both (1) that the constituent propositions of the liberal arts are true, and (2) that the liberal art of dialectic (disciplina disputandi) is the “truth through which all disciplines are (...) true” (Sol. 2.21). I argue that Augustine identifies the liberal arts with truth because (1) the constituent propositions of the liberal arts are learned, and (2) dialectic’s structure is essential to the liberal arts. I further suggest that the subject matter of each liberal art reflects a distinct segment of intelligible reality, that is, the realm of the intelligible Forms. (shrink)

By examining and comparing Gandhi’s statement that the Bihar earthquake of 1934 should be seen as divine punishment for the sin of untouchability with a similar claim in Kant’s writings, I argue that while Gandhi and Kant are, broadly speaking, remarkably similar in the way in which they relate morality, religion, and politics in conceptualising the categories of faith and superstition, they also seem to differ in their vocabularies and the propositional content of their respective moral psychologies. However, if we (...) are committed to dialogue across cultures, then the differences between Gandhi and Kant need not preclude reflective conversation between them. (shrink)

Arguments attempting to debunk moral beliefs, by showing they are unjustified, have tended to be global, targeting all moral beliefs or a large set of them. Popular debunking arguments point to various factors purportedly influencing moral beliefs, from evolutionary pressures, to automatic and emotionally-driven processes, to framing effects. We show that these sweeping arguments face a debunker’s dilemma: either the relevant factor is not a main basis for belief or it does not render the relevant beliefs unjustified. Empirical debunking arguments (...) in ethics can avoid this predicament, but only if they are refocused on highly selective classes of moral belief. Experimental data can combine with familiar consistency reasoning to reveal that like cases are not being treated alike. Selective debunking arguments are unlikely to yield sweeping sceptical conclusions, but they can lead to rational moral change. (shrink)

Can reasoning improve moral judgments and lead to moral progress? Pessimistic answers to this question are often based on caricatures of reasoning, weak scientific evidence, and flawed interpretations of solid evidence. In support of optimism, we discuss three forms of moral reasoning (principle reasoning, consistency reasoning, and social proof) that can spur progressive changes in attitudes and behavior on a variety of issues, such as charitable giving, gay rights, and meat consumption. We conclude that moral reasoning, particularly when embedded in (...) social networks with mutual trust and respect, is integral to moral progress. (shrink)

A Better Ape covers the evolution of morality from the birth of our ape family through the evolution of human species and all the way up to the development of modern societies. In this summary, we highlight several main elements of this account: the co-evolution of morality with intelligence and complex sociality; the role of social institutions and religious morality in the cultural evolution of behaviorally modern humans in prehistory; the increasing complexity of the moral mind through biological evolution in (...) apes, gene-culture co-evolution in various human species, cultural evolution in Homo sapiens, and rational-cultural evolution in recent centuries; and, finally, a cultural evolutionary model of progressive and regressive moral change on which a key factor driving moral progress is social and democratic integration. (shrink)

The theory of granular partitions (TGP) is a new approach to the understanding of ontologies and other classificatory systems. The paper explores the use of this new theory in the treatment of task-based clinical guidelines as a means for better understanding the relations between different clinical tasks, both within the framework of a single guideline and between related guidelines. We used as our starting point a DAML+OIL-based ontology for the WHO guideline for hypertension management, comparing this with related guidelines and (...) attempting to show that TGP provides a flexible and highly expressive basis for the manipulation of ontologies of a sort which might be useful in providing more adequate Computer Interpretable Guideline Models (CIGMs) in the future. (shrink)

This paper explores the intersection between Advaita Vedanta's non-dualistic conception of consciousness and the evolving field of quantum physics, offering a dialogue between ancient metaphysical insights and modern scientific thought. Advaita Vedanta, an Indian philosophical tradition, posits that consciousness is the fundamental reality, transcending the material world, which it views as an illusion, or Maya. Similarly, contemporary developments in quantum physics challenge the classical materialistic worldview by revealing that reality, at its most fundamental level, is interconnected, probabilistic, and observer-dependent. This (...) philosophical dialogue aims to bridge these two domains by examining how quantum phenomena, such as wave-particle duality, non-locality, and the observer effect, resonate with Advaita’s concept of Brahman as the ultimate, non-dual consciousness. By exploring parallels between these seemingly disparate fields, this paper questions the limitations of materialistic interpretations of consciousness and proposes that quantum physics could offer a scientific framework to support Advaita’s assertion that consciousness is the substratum of reality. The discussion further investigates how the observer effect in quantum mechanics might align with the Advaitic principle that reality is shaped by consciousness. This study contributes to contemporary debates in the philosophy of mind and philosophy of science by proposing a unified model of consciousness that transcends dualistic divisions between mind and matter, advancing the possibility of a deeper metaphysical understanding of the universe. (shrink)

It is widely understood that protein functions can be exhaustively described in terms of no single parameter, whether this be amino acid sequence or the three-dimensional structure of the underlying protein molecule. This means that a number of different attributes must be used to create an ontology of protein functions. Certainly much of the required information is already stored in databases such as Swiss-Prot, Protein Data Bank, SCOP and MIPS. But the latter have been developed for different purposes and the (...) separate data-structures which they employ are not conducive to the needed data integration. When we attempt to classify the entities in the domain of proteins, we find ourselves faced with a number of cross-cutting principles of classification. Our question here is: how can we bring together these separate taxonomies in order to describe protein functions? Our proposed answer is: via a careful top-level ontological analysis of the relevant principles of classification, combined with a new framework for the simultaneous manipulation of classifications constructed for different purposes. (shrink)

How can we make moral progress on factory farming? Part of the answer lies in human moral psychology. Meat consumption remains high, despite increased awareness of its negative impact on animal welfare. Weakness of will is part of the explanation: acceptance of the ethical arguments doesn’t always motivate changes in dietary habits. However, we draw on scientific evidence to argue that many consumers aren’t fully convinced that they morally ought to reduce their meat consumption. We then identify two key psychological (...) mechanisms—motivated reasoning and social proof—that lead people to resist the ethical reasons. Finally, we show how to harness these psychological mechanisms to encourage reductions in meat consumption. A central lesson for moral progress generally is that durable social change requires socially-embedded reasoning. (shrink)

Wild Wise Weird: The Kingfisher Story Collection is an imaginative anthology that blends whimsical, wise, and strange tales. Filled with adventures, life lessons, and unique insights, it offers engaging and thought-provoking stories for readers of all ages. Perfect for fans of fantasy and the surreal, this collection captivates and inspires.

Outcomes research in healthcare has been a topic much addressed in recent years. Efforts in this direction have been supplemented by work in the areas of guidelines for clinical practice and computer-interpretable workflow and careflow models.In what follows we present the outlines of a framework for understanding the relations between organizations, guidelines, individual patients and patient-related functions. The derived framework provides a means to extract the knowledge contained in the guideline text at different granularities, in ways that can help us (...) to assign tasks within the healthcare organization and to assess clinical performance in realizing the guideline. It does this in a way that preserves the flexibility of the organization in the adoption of the guidelines. (shrink)

An important part of the Unified Medical Language System (UMLS) is its Semantic Network, consisting of 134 Semantic Types connected to each other by edges formed by one or more of 54 distinct Relation Types. This Network is however for many purposes overcomplex, and various groups have thus made attempts at simplification. Here we take this work further by simplifying the relations which involve the three Semantic Types – Diagnostic Procedure, Laboratory Procedure and Therapeutic or Preventive Procedure. We define operators (...) which can be used to generate terms instantiating types from this selected set when applied to terms designating certain other Semantic Types, including almost all the terms specifying clinical tasks. Usage of such operators thus provides a useful and economical way of specifying clinical tasks. The operators allow us to define a mapping between those types within the UMLS which do not represent clinical tasks and those which do. This mapping then provides a basis for an ontology of clinical tasks that can be used in the formulation of computer-interpretable clinical guideline models. (shrink)

This chapter discusses contemporary scientific research on the role of reason and emotion in moral judgment. The literature suggests that moral judgment is influenced by both reasoning and emotion separately, but there is also emerging evidence of the interaction between the two. While there are clear implications for the rationalism-sentimentalism debate, we conclude that important questions remain open about how central emotion is to moral judgment. We also suggest ways in which moral philosophy is not only guided by empirical research (...) but continues to guide it. (shrink)

Kant interpreters have contrasting views on what Kant takes to be the basis for human dignity. Several commentators have argued that human dignity can be traced back to some feature of human beings. Others contend that humans in themselves lack dignity, but dignity can be attributed to them because the moral law demands respect for humanity. I argue, alternatively, that human dignity in Kant’s system can be seen to be grounded in the reciprocal relationship between the dignity of the moral (...) law and the dignity inherent in the human constitution. The latter includes the dignity of personhood, construed as rational inner purposiveness, and the dignity of giving oneself the law and striving to follow it. (shrink)

The present article traces the development of the concept of social justice through different philosophical traditions. The notion and philosophy of 'Justice' is the core of socio-legal and political streams and ethics. The idea of justice is applied not just to individual engagements but to broader aspects such as public policies and laws of the land. Justice is often used in the context of 'righteousness' and as a 'virtue'. Still, it is not easy to define and completely clarify the concept (...) of justice. We can analyse it by employing specific terms, which acquaint us with the best possible understanding of justice. A single definition would not suffice to fulfil our aim of the study. Therefore, in this essay, the author delineates how philosophers and thinkers have theorised 'Justice' throughout ancient, medieval and modern times. (shrink)

My aim in this essay is to clarify certain issues relating to Kant’s definition of sensation. I will argue that even though sensation can occur in Kant’s system only if the subject is physiologically affected by some kind of object, Kant defines sensation non-referentially, that is, as relating entirely to the subject without reference to the affecting object. In the process, I will also demonstrate that sensation for Kant is the feeling accompanying the non-durational and obscurely conscious alteration or modification (...) in the representational state of the subject. (shrink)

This project focuses on simplifying the legal documentation process for small businessesand individuals in India. Utilizing advanced technologies such as Optical Character Recognition (OCR) and AI-driven models, the system automatically drafts and simplifies complex legaldocuments. The platform features a user-friendly interface for easy input, integration withup-to-date legal resources, and ensures strict data privacy and security. By reducing the time, effort, and potential errors associated with legal documentation, the assistant aims to improve accessibility to legal services and promotegreater access to justice. (...) This documentation provides a comprehensive guide to the design, features, and implementation of the AI-powered solution. (shrink)

The agricultural sector plays a crucial role in the economy, providing food and raw materials while sustaining livelihoods for millions. However, one of the significant challenges faced by farmers is the unpredictability of crop prices. Market fluctuations can be influenced by various factors, including weather conditions and government policies. Predicting these prices accurately can lead to better decision-making, optimizing production, and improving profitability. With advancements in technology, machine learning (ML).

The paper presents the outlines of an ontology of plans and guidelines, which is then used as the basis for a framework for implementing guideline-based systems for the management of workflow in health care organizations. The framework has a number of special features, above all in that it enables us to represent in formal terms assignments of work-items both to individuals and to teams and to tailor guideline to specific contexts of application in health care organizations. It is designed also (...) to enable implementations to do justice to the fact that the processes carried out in health care organizations may deviate in different ways from the norms set forth in corresponding guideline definitions. This means that implementations built in conformity with the framework will be marked by a type of flexibility that might make them more likely to be accepted by healthcare professionals than are standard guideline-based management systems. (shrink)

In the current digital environment, cyberattacks continue to pose a serious risk and difficulty. Internet of Things (IoT) devices are becoming more and more vulnerable due to security problems like ransomware, malware, poor encryption, and IoT botnets. These flaws may result in ransom demands, data tampering, illegal access, and system risks. Creating strong cybersecurity procedures for contemporary smart environments is essential to resolving these problems. This strategy uses proactive network traffic monitoring to spot any dangers in the Internet of Things (...) ecosystem. Our approach is to improve Smart Environments' security and awareness of potential threats. Two IoT gateways were used to examine the effectiveness and performance of a deep neural network (DNN) model. The results were promising: the model caused an average increase of less than 30 kb/s in network bandwidth and a mere 2% rise in CPU usage. Additionally, memory and power consumption were minimal, with 0.42 GB and 0.2 GB of memory usage for NVIDIA Jetson and Raspberry Pi devices, respectively, and an average 13.5% increase in power consumption per device. The machine learning models achieved nearly 93% detection accuracy and a 92% F1 score on the datasets used. Our framework demonstrates an effective and efficient method for detecting malware and attacks in Smart Environments. (shrink)

The International Classification of Functioning, Disability and Health provides a classification of human bodily functions, which, while exhibiting non-conformance to many formal ontological principles, provides an insight into which basic functions such a classification should include. Its evaluation is an important first step towards such an adequate ontology of this domain. Presented at the 13th Annual North American WHO Collaborating Center Conference on the ICF, 2007.

The National Cancer Institute’s Thesaurus (NCIT) has been created with the goal of providing a controlled vocabulary which can be used by specialists in the various sub-domains of oncology. It is intended to be used for purposes of annotation in ways designed to ensure the integration of data and information deriving from these various sub-domains, and thus to support more powerful cross-domain inferences. In order to evaluate its suitability for this purpose, we examined the NCIT’s treatment of the kinds of (...) entities which are fundamental to an ontology of colon carcinoma. We here describe the problems we uncovered concerning classification, synonymy, relations and definitions, and we draw conclusions for the work needed to establish the NCIT as a reference ontology for the cancer domain in the future. (shrink)

The purpose of this work is to compare the ways in which relational databases—more especially, Microsoft SQL Server—and non-relational databases—MongoDB—handle unstructured data in JSON format. Although a lot of study has been done comparing different database management systems in terms of security, performance, and other aspects, little is known about how these databases are evaluated according to the type of data they handle. The main goal of this study is to examine the various features that relational and non-relational databases provide (...) for handling JSON data. We will conduct a number of tests to do this, making sure that the relevant data doesn't need to be normalised. To draw a conclusion, the outcomes of these studies will thereafter be examined. (shrink)

Social media has transformedevery communication and posting modality into sharing and expression of opinions. Everyday, an enormous amount of data shared on Twitter, Facebook, Reddit, and Instagram portrays varied emotions that range between positive endorsements and negative criticisms. This is the very aspect of sentiments that make up the core basis through which marketing strategies are developed, along with improvement of customer services and the promotion of brand loyalty for businesses and organizations. Traditional approaches to sentiment analysis will struggle with (...) dynamic and voluminous data from social media, which makes it require very high tools that would be able to analyze them in real-time. (shrink)

Through an examination of Stack Overflow posts, this study explores Docker-related subjects and difficulties in order to pinpoint common problems and patterns in Docker development. We created an extensive dataset of Docker conversations by utilising both tag-based and content-based filtering techniques. These conversations were categorised using Latent Dirichlet Allocation (LDA) topic modelling, which showed that the most common theme is Application Development, which includes topics like Framework Management, Coding Problems, Data Transfer, and Docker-specific frameworks. Because of Docker's strong market presence, (...) developers are very interested in using it to build and manage apps, as evidenced by this dominant category. The study highlights important areas of interest and difficulty within the Docker community and offers insightful information on the many technical and operational problems faced by Docker developers. These findings offer guidance for future research, tool development, and educational resources, aiming to address the evolving needs of Docker practitioners and enhance the overall development experience. (shrink)

In the context of mid-level professional writing jobs, we examine the productivity effects of a generative artificial intelligence technology, namely the assistive chatbot ChatGPT. We used ChatGPT to randomly expose half of the 444 college-educated professionals to occupation-specific, incentive-based writing tasks in a preregistered online experiment. Our results show that ChatGPT considerably increases average productivity: output quality improves by 0.4 standard deviations and task completion time drops by 0.8 standard deviations. By compressing the production distribution, ChatGPT also lessens worker inequality, (...) mainly helping individuals with lesser starting abilities. ChatGPT shifts the focus of activities from rough-drafting to idea generation and editing, thereby replacing worker effort rather than enhancing worker skills. Furthermore, exposure to ChatGPT increases job satisfaction and self-efficacy while also heightening both concerns and excitement about automation technologies. (shrink)

Kant claims that the transcendental self can be represented as a “feeling of existence” (Gefühl eines Daseins). Some interpreters take this claim to be inconsistent with Kant’s larger theory of self-consciousness. I consider the extent to which two eighteenth-century philosophy texts that Kant knew well - Tetens’ Philosophische Versuche über die menschliche Natur und ihre Entwickelung and Feder’s Logik und Metaphysik - can contribute to our understanding of Gefühl eines Daseins. I point to some continuities between Kant’s characterization of “Gefühl” (...) in Gefühl eines Daseins, and Tetens’ and Feder’s conceptualizations of Selbstgefühl. I show that Gefühl eines Daseins is prima facie consistent with Feder’s clear “I” (or Selbstgefühl) and Tetens’ clear Selbstgefühl; and both Gefühl eines Daseins and clear Selbstgefühl relate to higher cognition. Finally, I discuss whether the notion of Selbstgefühl is compatible with key aspects of Kant’s conceptualization of the self - the transcendental-empirical distinction, and the atemporality of the self. (shrink)

that can serve as a foundation for more refined ontologies in the field of proteomics. Standard data sources classify proteins in terms of just one or two specific aspects. Thus SCOP (Structural Classification of Proteins) is described as classifying proteins on the basis of structural features; SWISSPROT annotates proteins on the basis of their structure and of parameters like post-translational modifications. Such data sources are connected to each other by pairwise term-to-term mappings. However, there are obstacles which stand in the (...) way of combining them together to form a robust meta-classification of the needed sort. We discuss some formal ontological principles which should be taken into account within the existing datasources in order to make such a metaclassification possible, taking into account also the Gene Ontology (GO) and its application to the annotation of proteins. (shrink)

Samuel Scheffler has argued that people value tradition for its own sake because they view it as accumulated experience, and as playing an important role in forming their personal integrity, structuring their lives, and providing them with a sense of belonging. These reasons, according to Scheffler, are de facto justifications that people offer for choosing to act on purely traditional grounds. In this essay, I argue that these de facto reasons must be supplemented if they are to be seen as (...) de jure rational grounds for valuing tradition for its own sake. Such a supplementation would open up the possibility of articulating a coherent theory of moderate cosmopolitanism. (shrink)

Andrea Kern contends that perceptual experience is perceptual knowledge if our self-consciously held capacity for perceptual knowledge is “perfectly” actualized. I argue that this view requires further justification. First, Kern is unable to support her claim that an awareness of our self-conscious capacity for perceptual knowledge is “contained” in all our perceptions. Second, Kern’s claim that perception includes the idea of the conditions of perception is potentially inconsistent with her denial that perceptual experience enables perceptual knowledge.

The Silent 'I' in Anger explores the deep-seated nature of anger and the transformative power of self-awareness. In the midst of emotional storms, the "I" within us remains silent, observing and offering a path to inner peace. This book serves as a guide for understanding anger not as an enemy, but as an opportunity for personal growth and emotional mastery. Through powerful insights and practical techniques, Ranjeet Kumar (Moksh) uncovers the quiet eye at the center of the storm—a place (...) of stillness that allows us to harness our emotions, rather than be overwhelmed by them. Discover how embracing this silent "I" can lead to profound calm in the chaos of life. (shrink)

Quality assurance in large terminologies is a difficult issue. We present two algorithms that can help terminology developers and users to identify potential mistakes. We demon­strate the methodology by outlining the different types of mistakes that are found when the algorithms are applied to SNOMED-CT. On the basis of the results, we argue that both formal logical and linguistic tools should be used in the development and quality-assurance process of large terminologies.

In this paper current author proposes a need for studying intricate differences between psychological aspects, factors, cognitions, affect, behaviour and related dynamics. It can be promoted as a separate branch within the domain of Psychology as Intricacy Psychology. Case history taking for the new Intervention Meditation of current author is proposed in line with capturing such intricacies of the client. The current also proposes to study the intricacies belonging to ‘Self’ as an important factor within his new Intervention Meditation approach. (...) View of Self in line with current author’s new Intervention Meditation is also outlined. This paper is at the initial stage of the series of papers planned to develop his new Intervention Meditation approach which is entirely different from all other meditations in vogue. (shrink)

Hierarchy and inequality are deeply rooted in Indian tradition. They are found in practice in the form of unequal placement of caste and class groups in the civilizing system of Indian society. The notions of dharma (normative order), karma (personnel moral commitment) and jāti (caste) that constitute the basic principles of Indian culture, making the Indian cultural tradition a unique cultural tradition, are also the principles of hierarchy and social stratification. In this paper, an attempt has been made to present (...) a comprehensive and investigative view of different scholars concerning the deep-rooted traditional characteristics of caste in Indian society. (shrink)

Kant interpreters are divided on the question of whether determinate cognition plays a role in the harmony of the faculties in aesthetic judgement. I provide a ‘non-cognitive’ interpretation that allows Kant’s statements regarding judgements of natural beauty to cohere such that determinate cognition need not be taken to perform any role in such judgements. I argue that, in aesthetic harmony, judgement privileges the free activity of the imagination over the cognizing function of the understanding for the purpose of unifying the (...) object, although the free imagination cannot violate the obscure concepts and principles of ordinary common sense. (shrink)

Because of advanced automation, data exchange, and cyber-physical systems, traditional project risk management strategies are losing their effectiveness in the era of Industry 4.0. This study investigates how integrating Industry 4.0 technology into project risk management frameworks can have real-world implications. Using technologies like artificial intelligence (AI), big data analytics, and the Internet of Things (IoT), it proposes a new framework that enhances risk identification, assessment, and mitigation methods. In order to demonstrate how Industry 4.0 is transforming risk management practices, (...) this article examines real-world case studies and industry implementations. The framework addresses significant opportunities and challenges to provide practitioners with useful insights for adapting to the evolving technological context. The findings suggest that incorporating Industry 4.0 technologies can significantly improve risk management efficiency and project outcomes, offering a pathway for organizations to navigate the complexities of modern project environments. (shrink)

The AICTE approval process for institutions plays a critical role in regulating technical education in India, ensuring quality and adherence to established standards. However, the current system is cumbersome, leading to delays and inefficiencies. This paper proposes the development of an AI-powered assistive portal that automates key stages of the approval process. The portal aims to reduce manual errors, provide real-time feedback, and enhance user experience for stakeholders, thereby improving overall system efficiency and transparency.

The Internet of Things (IoT) wireless LAN in healthcare has moved away from traditional methods that include hospital visits and continuous monitoring. The Internet of Things allows the use of certain means, including the detection, processing and transmission of physical and biomedical parameters. With powerful algorithms and intelligent systems, it will be available to provide unprecedented levels of critical data for real-time life that are collected and analyzed to guide people in research, management and emergency care. This chapter provides a (...) quick overview of IoT features and how they relate to wireless discovery and technology to deploy the medical applications you need. In the world, the revolution in any industry is to connect your products and devices to the Internet and make them independent and remotely connected, so that anyone can use and view them from anywhere and anytime. The Internet of Things provides us with a home automation system that uses smart devices to overcome this obstacle, allowing us to easily manage our appliances. A smart city is a vision to integrate a variety of information and communication solutions for residents with essential services, such as smart parking on all streets. The main motivation for using the Internet for parking objects is simply collecting data to get free parking. The IoT-based RTSSPS architecture is divided into three parts: a WSN-based smart street parking module, an IoT-based smart street parking module, and an IoT-based smart street parking module. IoT-based cloud with street parking algorithm, rating and future directions. (shrink)

Rural Green Marketing: Challenges and Opportunities in India -/- Author / Authors : Indal Kumar Page no.194-203 Discipline : Applied Economics/ Management/ Commerce Script/language : English/Roman Category : Research paper Keywords: Rural Green Product, Environmentally safe of rural market, opportunities and challenges of Green Marketing.

We present the details of a methodology for quality assurance in large medical terminologies and describe three algorithms that can help terminology developers and users to identify potential mistakes. The methodology is based in part on linguistic criteria and in part on logical and ontological principles governing sound classifications. We conclude by outlining the results of applying the methodology in the form of a taxonomy different types of errors and potential errors detected in SNOMED-CT.

In this paper, I argue that Will Kymlicka’s theory of “mult”-iculturalism serves to unwittingly perpetuate a form of neo-colonial agenda in which Indigenous claims for recognition and sovereignty in Canada are accommodated to the degree and extent to which they are willing to “liberalize” and promote distinctly Euro-Western self-understandings and conceptions of individual autonomy (tied to substantive notions such as private property) – the supposedly foundational value and defining feature of liberalism. In fact, Kymlicka vehemently attacks Rawls’ theory of political (...) liberalism, whose tolerance-based conception provides a far more open theoretical normative architecture within which to dialogue with non-Western nations, where views of self, autonomy, property, land, non-human animals, and secularism may differ radically from those of liberal Western nations – or so I contend here. (shrink)

To Gandhi, secularism went beyond the political separation of religion and state; it was a moral commitment to uphold human dignity and social justice. His approach to secularism was intertwined with his socio-economic philosophy of Sarvodaya, or the welfare of all. Gandhi argued that true secularism required addressing the socio-economic disparities that often fueled religious tensions. He believed in the “Sarvadharmasambhava principle,” which means equal respect for all religions. This perspective aimed at eradicating prejudices and promoting a culture of empathy. (...) In this context, this paper highlights Gandhi’s views on secularism which went beyond conventional notions, emphasising the interconnectedness of spirituality, social equity, and communal harmony. The author argues that Gandhi’s vision remains a poignant reminder of the potential for secularism to facilitate societal transformation by nurturing an environment of acceptance, understanding, and unity amidst diversity. (shrink)

Evidence-based medicine relies on the execution of clinical practice guidelines and protocols. A great deal of of effort has been invested in the development of various tools which automate the representation and execution of the recommendations contained within such guidelines and protocols by creating Computer Interpretable Guideline Models (CIGMs). Context-based task ontologies (CTOs), based on standard terminology systems like UMLS, form one of the core components of such a model. We have created DAML+OIL-based CTOs for the tasks mentioned in the (...) WHO guideline for hypertension management, drawing comparisons also with other related guidelines. The advantages of CTOs include: contextualization of ontologies, providing ontologies tailored to specific aspects of the phenomena of interest, dividing the complexity involved in creating ontologies into different levels, providing a methodology by means of which the task recommendations contained within guidelines can be integrated into the clinical practices of a health care set-up. (shrink)