Volume 13 | Issue 4 |

 Abstract

ABSTRACT: Present investigations aim to analyse the tap water quality of Bilaspur district by water quality index. Eight physicochemical parameters such as Calcium, Magnesium, Chlorine, total hardness, pH, Electrical conductivity, TDS, Turbidity and also bacterial contamination. Out of total parameters studies, 80% water samples were bring into being good quality and only 20% of water trials falls under temperately poor category. Therefore, prerequisite treatment of drinking water can be done before usage and also the study area has to be protected from anthropogenic contamination.

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KEYWORDS: Drinking water, physio-chemical, Bilaspur, water treatment.

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This research articles explores the remarkable journeys of Indian entrepreneurs who have made significant strides in the global startup ecosystem. By examining their innovative approaches, resilience, and strategic decisions, we aim to highlight the factors that contributed to their success and the impact they have had on both the Indian and global markets. These case studies serve as inspiration for aspiring entrepreneurs and provide valuable insights into the dynamics of entrepreneurship in a rapidly evolving landscape. By highlights the backgrounds, key success factors, and impacts of Ritesh Agarwal (OYO Rooms), Kunal Bahl and Rohit Bansal (Snapdeal), Bhavish Aggarwal (Ola Cabs), N. R. Narayana Murthy (Infosys), Nikhil Kamath (Zerodha), Aman Gupta (boAt), Deepinder Goyal (Zomato), and Neeraj Kakkar (Paper Boat). Each entrepreneur's innovative approaches and strategic decisions have not only transformed their respective sectors but have also played a significant role in shaping the Indian economy and promoting entrepreneurship.

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Keywords: Entrepreneurship, Innovation, E-commerce, Hospitality, Technology

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Chronic inflammation is a common trait in the pathogenesis of several dis- eases of the gut, including inflammatory bowel disease and celiac disease. Control of the inflammatory response is crucial in these pathologies to avoid tissue destruction and loss of intestinal function. Over the last 50 years, the identification of the mechanisms and mediators involved in the acute phase of the inflammatory response, which is characterized by massive leukocyte recruitment, has led to a number of therapeutic options. New drugs targeting inflammatory flares are still under development. However, interest on the other end of the spectrum--the resolution and repair phases--has emerged, as promoting tissue functional repair may maintain remission and counter- act the chronicity of the disease. This review aims to discuss the current and future pharmacological approaches to the treatment of chronic intestinal inflammation and the restoration of functional tissues.

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Intestinal Inflammation,Inflammatory Bowel Disease (IBD),Pharmacological Interventions,Anti-inflammatory Agents

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The way people search for jobs has changed drastically with the rise of online job portals. These digital platforms have made it easier for job seekers and recruiters to connect, offering features like AI-driven job matching, mobile access, and real-time communication. This review takes a closer look at four key studies on job portals, comparing their strengths, weaknesses, and methodologies. It highlights how job portals have evolved, the challenges they still face, and potential improvements, such as better AI-based candidate profiling, seamless mobile experiences, and stronger security. Additionally, this paper discusses how government-backed platforms and emerging trends are shaping the future of online job searching.

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Jobs, Job Seeker, Job Application, Recruiter, Resume, Skills, Job Portal, AI in Recruitment, Mobile Job Search, Security in Job Portals, Blockchain in Hiring.

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Drug repurposing is an important area of research for pharmaceutical companies and chemical scientists. In the recent times, there has been an increased focus on the process of finding a new therapeutic use for already-approved medications. Machine learning (ML) and artificial intelligence (AI) algorithms are transforming drug repurposing because they can minimize risks, maximize efficiency, cut down on development time, and be inexpensive. This article discusses algorithms used in drug repurposing that are based on AI and ML. It also describes the ways in which methods from AI and big data have evolved to meet the growing demands of research in terms of planning development of drug candidates more efficiently and at a lower cost. With an analysis of current trends and recommendations for best practices, this study aims to give researchers a comprehensive understanding of how AI and ML may be utilized as a resource to help them navigate the always evolving field of drug discovery.

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Drug repurposing; Artificial Intelligence; Machine Learning; Deep Learning, Big data.

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Dielectric measurement of a binary mixture of Allyl Bromide with 2-Pentanone and 2-Hexanone was carried out over the entire concentration range using a Time-domain Reflectometer (TDR) at temperatures 293.15K, 303.15K, and 313.15K in microwave frequency range 10 MHz to 10 GHz. The static dielectric constant(?_s) and relaxation time(?) of binary mixture were determined which are further used to study excess static dielectric constant(?_s^E), excess inverse relaxation time??((1/?))?^E, effective Kirkwood correlation factor(geff), and Bruggeman factor(fB). These parameters are used to study intermolecular interaction between Allyl Bromide (ALB) and the carbonyl group of 2-Pentone (2-PE) and 2-Hexanone (2-HE). Intermolecular interaction of Allyl Bromide with 2-Pentanone and 2-Hexanone occurs through dipole-dipole interaction. The excess static dielectric constant and excess inverse relaxation time are fitted to Redlich-Kister equation.

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Static dielectric constant, Effective Kirkwood correlation factor, Relaxation time

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Abstract The "hard problem" of consciousness--explaining how subjective experience arises from physical processes--remains a persistent challenge in philosophy and science. Quantum physics, with its probabilistic, non-local, and observer-dependent nature, has emerged as a provocative framework for addressing this enigma, suggesting that consciousness may be intertwined with quantum processes. This article traces the historical evolution of quantum mechanics and its intersection with consciousness studies, critically examines key theoretical models (e.g., the Orchestrated Objective Reduction model), and evaluates their philosophical and empirical viability. While quantum approaches offer novel insights into the mind-body problem, they face significant hurdles in coherence, testability, and ontological grounding. The article concludes by proposing interdisciplinary pathways to refine these models, emphasizing the need for empirical validation and philosophical rigor to bridge quantum physics and consciousness.

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Quantum Physics, Consciousness, Hard Problem, Orch-OR, Philosophy of Mind, Quantum Mechanics

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Microfinance has become one of the key approaches to economic development that focuses on delivering financial services to the financially excluded population and enterprises. Microfinance is rapidly becoming popular in developing countries as a poverty reduction and entrepreneurship finance strategy. This paper evaluates microfinance institutions' (MFIs) roles in small business and poverty reduction in developing countries.

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Economics Finance

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Artificial Intelligence (AI) has a transforming effect on most aspects of modern society, from economic structures to social interactions. And then we showcased how AI has an immense impact on various fields of the world like health, education, employment, and ethics, etc., with their advantages and disadvantages.

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Artificial Intelligence, Machine Learning, AI Ethics, AI in Healthcare, AI in Education, Job Automation, AI Bias, AI and Society, AI Challenges, Ethical AI

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Abstract. The sub-categorization of Scheduled Castes (SCs) in Telangana has been a longstanding issue with significant implications for social justice and policy implementation. This study examines the unequal distribution of reservations in education and employment, highlighting the dominance of the SC Mala community and the resulting demands for equitable distribution from other SC sub-castes. The Madiga Reservation Porata Samithi (MRPS), spearheaded by Manda Krishna Madiga, has been pivotal in advocating for restructuring reservation policies. The research also evaluates the recommendations of the Samim Akhtar Report (2025) and draws comparisons with similar policies in Punjab and Tamil Nadu to assess their socio-economic, political, and legal impacts.

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Key words: Sub categorization, Reservations, SC Corporation loans, education, employment , Shamim akhter report, roster point, Social Equality, economic inclusion, constitution order, jhon Rawls theory of justice and fairness, Affirmative action theory of equality.

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