Volume 12 | Issue 11

 Abstract

Cancer is defined as a group of symptoms associated with unconditional & uncontrolled cell division with possibility of proliferation to other parts of body. There are no exact signs or symptoms that define Cancers other than failure to respond to the standard treatment for a particular disease, unexplainable loss of weight, failure to thrive. Weight loss is also associated with chemotherapy and radiation therapy for cancer treatment. The weight loss and failure to thrive is also explained in Rajayakshma in Charaka Samhita. Here we contemplate use of Mustydi Yapana Basti (MYB) as a way to reverse Anuloma Dhatukshayajanya Rajayakshma.

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Cancer, Rajayakshma, Rasayana, Basti, Mustyadi Yapana Basti

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Pedestrian delay is one of the concerning or related topics to pedestrian behavior at signalized intersections. When people try to cross the road, they may maintain the traffic signal and may not follow for some reasons. Those are there is a chance may be more crowded while crossing the road or maybe they are using mobile phones or maybe they are carrying more language with them. So, these all are having the chance of pedestrian delay. But the main problem is when serious accidents happen due to the delay of pedestrians, at that time, it is required to identify whose mistake it is and the reason behind that. Apart from that to reduce the crossing time or to save time, people sometimes do not follow the traffic signals also and this one more observed in teenagers. The majority of delays were decreased by those who started crossing during the flashing Don't Walk phase, even though only a minor portion of delays were reduced by beginning to cross when the signal was formally red. Compared to the number of people who would have arrived at the curb at the same time if arrivals were random, fewer pedestrians approached crosswalks during the flashing Don't Walk phases. Some pedestrians are expected to move quickly to enter during the flashing Don't Walk phase instead of waiting for the next Walk time. To provide a more accurate evaluation of pedestrian delay at signalized crossings, a delay equation was updated. Here the author created a model which can analyze pedestrian behavior and calculate the delay time based on the behavior of the pedestrian by using deep learning and open CV techniques. For that, the author collected the data through different live video footage of pedestrians from different sites and locations. Here the author focuses more on the school and bus station zones because these areas have more chances to delay due to the language carriage, college or university zones, and many more.

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Pedestrian, time, accidents, language

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Significant differences and structural inequities originating from cultural, social, and legal norms have historically defined the status of women in India with regard to property rights. Women have historically had limited inheritance rights because patriarchal systems give preference to male heirs when it comes to property transmission. An important piece of Indian legislation, the Hindu Succession Act 1956, sought to codify the laws governing inheritance among Hindus, including Buddhists, Jains, and Sikhs. Notwithstanding its goal of offering a consistent structure for property succession, the Act has historically mirrored societal patriarchal standards, frequently sustaining gender inequality. In an important step toward gender equality, the Hindu Succession (Amendment) Act, 2005, intended to redress these disparities by giving girls the same rights as males in ancestral property. The Hindu Succession Act's development, its effect on gender differences in property rights, the efficacy of the 2005 revision, and the continued difficulties and ramifications for Indian women are all covered in detail in this abstract. In interpreting and upholding the provisions of the revised Act, the judiciary has been instrumental. Setting precedents for future disputes and resolving uncertainties have been facilitated by landmark cases. Legal aid groups and non-governmental organizations (NGOs) have played a significant role in supporting individuals attempting to assert their property rights and in promoting women's inheritance rights. The historical background, significant clauses, and effects of these legislative amendments are examined in this research study, along with the difficulties and ongoing problems in putting gender-equitable property rights into practice. The several laws pertaining to this problem will also be covered in this paper, along with several important rulings such as Vineeta Sharma and Prafulla. The primary goal of the research is to increase our understanding of the subject. The measures to address and deal with the issue of gender disparity will also be covered in this article.

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lineal relatives, legacy, coparcenary, inheritances right, gender disparity

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Domestic violence in present-day Bangladesh and its social impact.

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Domestic violence in present-day Bangladesh and its social impact.

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This paper examines techniques in prompt engineering that can enhance the responsiveness of NLP-based AI models. As AI adoption is increasingly widespread across sectors, accuracy and context-aware responses become critical. We analyze various prompt design methods such as structured phrasing, keyword targeting, and contextual embedding that can enhance AI outputs in fields like customer service, healthcare, and education. Case studies show that well-crafted prompts make AI responses significantly better and prove prompt engineering as an essential skill to enhance the reliability of the model and minimize biases. This paper further emphasizes the role of prompt engineering in advancing the interpretability and trustworthiness of AI models for a wide range of applications.

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Prompt engineering, AI responsiveness, NLP, prompt optimization, artificial intelligence, AI interpretability, model bias

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Chronic Kidney Disease (CKD) is a progressive condition that poses significant public health challenges, affecting over 10% of the adult population worldwide. This study explores examining etiopathogenesis of CKD through the lens of Ayurveda, to facilatate a appropraite treatment regimen in an efficient patient care. CKD is characterized by a gradual decline in kidney function, typically marked by a decrease in glomerular filtration rate (GFR) and proteinuria. The absence of direct references to CKD in classical Ayurvedic texts necessitates an understanding of the disease through its related concepts--Nidan (aetiology), Lakshan (signs), and Samprapti (pathogenesis). CKD symptoms develop insidiously, with advanced stages presenting as dyspnoea, peripheral oedema, and fatigue. The study identifies prodromal symptoms and establishes clinical correlations with Ayurvedic concepts, enabling a comprehensive understanding of CKD's progression. Our analysis reveals that CKD corresponds to the vitiation of Meda (fat) and Rakta (blood) dhatus, influenced by unhealthy dietary habits and lifestyle choices, leading to the dysfunction of Mutravaha srotas (urinary channels). The pathogenesis involves imbalances in the three doshas (Vata, Pitta, and Kapha), with a notable predominance of Vata, causing srotorodha (obstruction of channels) and consequent renal impairment. This research emphasizes the importance of addressing dietary and lifestyle factors in managing CKD. Proposed Ayurvedic treatments focus on enhancing digestive fire, balancing doshas, promoting diuresis, and ensuring srotosodhana (cleansing of channels). By integrating Ayurvedic principles into contemporary medical frameworks, we aim to provide a holistic approach to CKD management, ultimately improving patient outcomes and quality of life.

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CKD, Chronic Kidney Disease, Pathogenesis, Samprapti, Ayurveda

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This study presents a comparative analysis of Khajuraho temple architecture, located in Madhya Pradesh, and Orissa temple architecture. Both architectural styles emerged during medieval India and represent unique religious and cultural traditions. The objective of this research is to explore the similarities and differences in design, iconography, and construction techniques between the two. Methodologically, this study draws upon historical sources, architectural surveys, and field observations. The findings indicate that while both styles follow the broader Nagara style of North Indian temples, Khajuraho emphasizes intricate erotic sculptures and dynamic figurative art, whereas Orissa temples prioritize spiritual symbolism with towering rekha deuls and restrained carvings. This comparative study sheds light on the diverse regional expressions of Indian temple architecture and its significance in understanding the subcontinent's cultural and religious history.

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Temple architecture, Orissa Style, Khajuraho Style, Nagara Style, Hindu temple design, Comparative Architecture Study, Spiritual Symbolism

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This article reflects on the author's journey from feeling that Islamic teachings constrained women to discovering empowering interpretations of the Quran. It challenges traditional male-centric readings that have marginalized women, highlighting examples like Umm Salamah's advice to the Prophet and Quranic role models such as Asiya and Maryam. The author argues that reclaiming women's rights and roles in society is essential for revitalizing the Muslim community, calling for men and women to uphold justice together.

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Between God and the Gaze: The Loud Cry of a Muslim Woman

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Prompt engineering has emerged as a fundamental technique in enhancing AI-driven content generation, improving both relevance and accuracy. This paper discusses the evolution of prompt engineering, examines current approaches, proposes an adaptive feedback-based system, and explores practical implementation strategies. By fine-tuning prompts, users can optimize model outputs to be more aligned with specific needs, making the model a valuable asset in solving realworld problems efficiently.Through this, we aim to provide a concise guide for practitioners to leverage prompt engineering in refining AI outputs effectively. By implementing this approach, practitioners can unlock AI's full potential in generating highly specific, context-aware, and accurate content.

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Content generation,prompt Engineering,Digital Communication,Natural Language processing,Machine Learning, Marketing

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Artificial intelligence is the ability of a system to understand and interpret external data through algorithms or machines or systems to solve problems. This AI term is used for knowledge based system, text mining, pattern recognition, language processing, natural language, decision making and knowledge based system etc. Today it is being used in environment, defense, technology and security. This article attempts to understand the opportunities and challenges of AI. It focuses on policies that are designed to ensure the development and deployment of AI-based systems.

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AI, Challenges, Opportunity, Abuse, Law

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Due to the development of modern technology, academic cheating, and plagiarism have become a serious issue in the education systems of almost all countries. Students can easily access information from the internet and using it without acknowledging the source and harming the reputation of academic institutions. AI tool is promoting high tech plagiarism violating the established rules and regulation governing academic dishonesty. Cheating could be the result of cooperation between student, teacher and administrators; therefore universities should initiate major changes in the examination management process. Cheating and plagiarism shifts the focus of teachers and students away from learning behaviour so the secure hosting of exams, automatically identifying cheating in assessments, and preventive measures like punishment and supervision should be ensured. In this article, the role of technology in the detection and prevention of cheating and plagiarism is highlighted.

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 Keywords

Index term: Higher education, Cheating, Plagiarism, Artificial intelligence, Technology.

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Cissus quadrangularis and Bryophyllum pinnatum, members of the Crassulaceae family, are notable for their medicinal properties and diverse applications in traditional medicine. This paper explores the pharmacological activities, chemical composition, and therapeutic potential of Bryophyllum pinnatum, highlighting its roles in treating conditions such as kidney stones, diabetes, and various wounds. The paper delves into the herb's Ayurvedic properties, detailing its actions, doshaghata, and efficacy against specific diseases, alongside its morphological characteristics. The investigation further assesses the plant's antileishmanial, anticancer, anti-diabetic, anti-ulcer, and antihelmintic properties, supported by experimental studies. Despite the promising results, the necessity for further research and clinical validation is emphasized to enhance understanding and integration of Bryophyllum pinnatum in contemporary medical practices. This comprehensive review of Bryophyllum pinnatum underscores its potential as a valuable herbal remedy, while also addressing the need for standardization and clinical assessments to ensure safety and efficacy in therapeutic applications.

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Antihelmintics ,Bryophllum pinnatum, Taxonomy,Triterpenoids, Glycosides, Xeromorphic, Vata and kapha

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

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

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

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

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

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

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

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