Volume 12 | Issue 11 |

 Abstract

Abstract The Core-Periphery Model is a theoretical framework used to describe the uneven distribution of economic activities and development within a region. This model highlights how core areas become centers of economic growth and industrial activity, while peripheral areas remain less developed and dependent on the core for resources and opportunities. In the context of the Upper Subarnarekha Basin, located in Jharkhand, the model is useful for analysing how economic activities are concentrated in urban and industrial hubs, while surrounding rural and tribal areas experience slower development. This study examines the core-periphery dynamics in the Upper Subarnarekha Basin by analysing the spatial distribution of resources, infrastructure, and economic activities between urban centers (core) and rural areas (periphery). The objective is to understand how these dynamics contribute to socio-economic disparities and environmental changes in the region.

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 Keywords

Core-Periphery Model, Development, Resource, Opportunities, Economic growth.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Forensic medicine can be defined as forensic pathology and forensic science. It is the use of medicine in support of the law. The role of forensic medicine in the process of crime detection cannot be overlooked because it gives the law enforcement agency a detailed picture of the events which led to the trauma, death and any other medical concern related to crime as soon as the personnel is on the crime scene. Forensic medicine and genetics forming a new emerging focus a new emerging focus also give witness to some of the most cutting-edge progress in crime in the modern world with the criminals' impunity being brought to an end. There are also expectations to technological developments in the future that will require careful assessment as to how far the ethics of science can be stretched. Another essential aspect of the above is that if evidence is handed over in any litigation case, no document or object handed over should before the completion of the case process leave any person's possession without any proper documentation including a detailed explanation and why it was withdrawn to preserve its authenticity and admissibility in court. Privacy issue: Genetic information contains sensitive moral issues involving the problem consent, data security and improper expectations regarding the collection, preservation and utilization of DNA which are sources to be neglected in ones jurisdiction. This is about the law in every jurisdiction, Laws vary in how they prescribe the manner of collection and retention of DNA.

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 Keywords

Forensic Genetics, DNA Profiling, Privacy Concerns, Informed Consent, Data Security, Ethical Considerations, Familial DNA Searching, Adverse Drug Reactions, Genetic Variations, Cytochrome P450 Enzymes, False positives, Public DNA Databases, Discriminations, Ethical use of Genetic Information, Biological Relationships, Accuracy and Reliability, Court Admissibility, Idiosyncratic Reactions, Risk Assessment, Cultural Sensitivity, Legel Implications, Genetic Testing, Public Trust, Individu

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Artificial Intelligence (AI) is the driving force behind most of the applications we use in our daily lives, and this necessitates advancements in human-AI interaction to go beyond basic functionalities. Through this article, we want to propose a novel methodology, the Sentient AI Framework (SAIF), that prioritizes the integration of emotional intelligence in AI systems, which makes them work in the better interest of humans by interpreting and responding while keeping human emotions into consideration. By integrating SAIF with intelligent systems like chatbots, virtual assistants, and robots, user interactions can be made more natural and engaging. This article discusses how SAIF can be developed and deployed to cultivate a sense of connection based on emotions such as trust and empathy, paving the way for the future where AI can be easily integrated into society and policy-making processes. Moreover, it discusses the key ethical aspects such as privacy, bias, explainability, and transparency to be considered. By developing such emotionally intelligent systems in collaboration with scholars, ethicists, and policymakers, we can ensure the ethical development and utilization of SAIF, thereby enhancing well-being and cultivating a better society.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Artificial Intelligence, Emotional Intelligence, Human-AI Interaction, Trustworthy Artificial Intelligence, Sentient AI Framework

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

As electric vehicles (EVs) continue to be embraced by users, a more efficient power management system at EV charging stations has become more necessary, hence the importance of demand forecasting. The present work deals with the prediction of the energy demand at EV charging stations by making use of machine learning and time series models. Also, models such as SARIMA, Random Forest, XGBoost, and H2O.ai's AutoML have been evaluated in forecasting energy consumption in relation to fleet size, the time of the day, respective weather conditions, and the grid load. Our research attempts to illustrate the advantages and disadvantages of each model in question on the market while noting that SARIMA model was the most precise, as it produced best scores based on explained models such as Akaike Information Criterion (AIC), Bayesian Information Criterion (BIC) and log-likelihood values. The research elaborates on how the non-linear data relationships, the high computation requirements and seasonality present challenges and also emphasizes the need for the models to be interpretable and scalable due to the rise of the EV market. This paper also addresses the issue of how these models can be utilized within charging infrastructure in a smarter way and ways of integrating such charging infrastructure as involved predictive analytics into a smart grid system, aiming at efficiency enhancement, especially with regards to adoption of renewables. Findings lead to the conclusion that these efficiency-enhancing measures are also beneficial in enhancing the quality of energy predictive procurement processes.

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 Keywords

Electric Vehicles, Energy Consumption, Charging, Demand, Forecast, Model

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Creative Commons Attribution 4.0 and The Open Definition

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This study seeks to create a smart system that offers farmers up-to-date and precise information to improve their farming methods and decision-making. By employing Natural Language Processing (NLP) methods, the chatbot analyzes user questions and provides appropriate answers from a set of agricultural knowledge resources. We employed the Natural Language Toolkit (NLTK) for text manipulation and the Term Frequency Inverse Document Frequency (TFIDF) vectorizer to convert text into numerical data. Cosine similarity is then applied to compare user questions with sentences in the knowledge base, ensuring the most pertinent information is retrieved. The entire development process includes several essential steps such as Data Collection, Data Preprocessing, Encoding, Obtaining Response, TFIDF, Cosine Similarity, and Generating Responses for the chatbot to display to users. This system empowers farmers by providing them with convenient access to crucial agricultural information, thereby aiding their efforts to boost productivity and sustainability. By incorporating sophisticated NLP methods, the system improves the accessibility and relevance of agricultural knowledge, leading to the overall empowerment and advancement of the agricultural community. The results show the chatbot's effectiveness in providing accurate and relevant agricultural information, significantly enhancing the farmers' decision-making process and resulting in improved agricultural results.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Natural Language Processing (NLP), Natural Language Tool Kit (NLTK), Term Frequency Inverse Document Frequency (TFIDF), Cosine Similarity.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Fluoride contamination in drinking water is a global health concern, especially in regions where groundwater is the primary source of potable water. Elevated fluoride levels lead to health issues such as dental and skeletal fluorosis. This study focuses on the development and analysis of ferrite-based composite materials for efficient water defluoridation. Ferrite composites have garnered attention due to their unique magnetic, chemical, and adsorptive properties, making them promising candidates for environmental remediation. This paper presents a detailed synthesis process of ferritebased composites, evaluates their structural and chemical characteristics, and analyzes their fluoride removal efficiency from aqueous solutions.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Ferrite-based composites, water defluoridation, fluoride removal, adsorption, co-precipitation, magnetic separation.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Acquiring knowledge is a phenomenon, where the owner of it gains through different mechanisms-through experience, external factors, internal factors, formal, informal, etc. and it may be tacit or implicit or explicit. Some knowledge is such that it is confined to some special group/clans or very much intervened/mingled with lifestyle or functional life/culture of the community. And such knowledge is mostly undocumented which hinges around the community and pass on generations to generations orally or through practice, legends, myths, taboos, poetry, etc. Such a treasure of knowledge is known as the indigenous knowledge or traditional knowledge. The beauty and pride of such knowledge is incomparable. Some communities are well known for their indigenous knowledge they retains. In the contemporary world, if modern technology and indigenous knowledge are simultaneously capitalized then some of the unaddressed problems related to every realm of life may be mitigated in more effective and efficient manner. Indigenous knowledge are very rich in nature but it is vanishing from its existence because these kind of knowledge is usually not documented, possessors are not willing to share, and not practiced. So, through this paper author attempts to highlight the issues and challenges confronted in the process of its documentation and dissemination of the same to reap full advantage

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 Keywords

Local knowledge, indigenous knowledge, documentation, dissemination, management model, AYUSH

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Creative Commons Attribution 4.0 and The Open Definition

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Addressing the skill shortages in the country, enhancing worker employability, meeting industry needs and driving economic growth depend greatly on India's Vocational Education and Training (VET) system. However, this mechanism is not independent of challenges such as economic, social and institutional. This review paper examines the prospects and problems in India's VET system, which is essential for fulfilling the country's changing labour demands. These obstacles reduce the efficiency of VET by creating a mismatch between the skills taught and those that employers require. The National Education Policy (NEP) 2020 seeks to normalise skill-based learning by integrating VET into regular education. India's VET sector may significantly improve its role in creating a competent, flexible workforce that is in line with domestic and international economic demands by tackling these issues. These components have been incorporated in this study to give an in-depth review that will guide future growth plans for the industry.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Indian VET System, Challenges, Public-Private Partnership, National Education Policy 2020, Curriculum Modernisation

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The Role of Non-Governmental Organizations in Rural Development of India.

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The Role of Non-Governmental Organizations in Rural Development of India.

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Creative Commons Attribution 4.0 and The Open Definition

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The study looks at the hydrobiological properties of selected water bodies at different altitudes in Southern Tamil Nadu particularly focus on water quality, biodiversity and ecosystem health. The study seeks to evaluate the physical, chemical and biological properties of four freshwater ecosystems: Suthamalli Dam, Thenkarai Pond, Manjalar Dam, and Shanmuganathi Reservoir. These locations serve as crucial for irrigation and drinking water, but they are under threat from environmental factors such as Climate change, agricultural runoff , industrial pollution and anthropogenic activities which leads to eutrophication of the waterbodies. This study assesses phytoplankton, zooplankton and fish species composition, nutritional content, and heavy metal concentrations using field sampling and laboratory analysis. Statistical modelling and Geographic Information System (GIS) approaches reveal regional trends in water quality and biodiversity. The findings provide valuable insights and significant data into the impact of environmental changes on aquatic ecosystem health in Southern Tamil Nadu the conservation and sustainable management of these ecosystems. This research also supports local environmental management authorities in preserving aquatic biodiversity in the ecologically sensitive Western Ghats region.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Hydrobiology, Water quality, Biodiversity, Altitudinal variation, Western Ghats, Tamil Nadu

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Creative Commons Attribution 4.0 and The Open Definition