Volume 13 | Issue 8 |

 Abstract

A plethora of hormones regulate many of the body's functions, including growth and development, metabolism, electrolyte balances, and reproduction. Numerous glands throughout the body produce hormones. The hypothalamus produces several releasing and inhibiting hormones that act on the pituitary gland, stimulating the release of pituitary hormones. Of the pituitary hormones, several act on other glands located in various regions of the body, whereas other pituitary hormones directly affect their target organs. Other hormone-producing glands throughout the body include the adrenal glands, which primarily produce cortisol; the gonads (i.e., ovaries and testes), which produce sex hormones; the thyroid, which produces thyroid hormone; the parathyroid, which produces parathyroid hormone; and the pancreas, which produces insulin and glucagon. Many of these hormones are part of regulatory hormonal cascades involving a hypothalamic hormone, one or more pituitary hormones, and one or more target gland hormones.

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 Keywords

endocrine function, hormones, hypothalamus, pituitary gland, gonad function, thyroid, parathyroid, pancreas, biochemical mechanism, biological feedback, biological regulation, hypothalamus-pituitary axis, pituitary-adrenal axis, pituitary-thyroid axis, literature review

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This paper introduces ChatXpert, an AI chatbot system that uses Natural Language Processing (NLP) to enable smooth, human-like conversations on many topics. In today's fast-changing digital world, where AIdriven chat systems are essential for modern infrastructure, ChatXpert stands [1] out by providing communication that is both efficient and intelligent. It bridges the gap between humans and machines. ChatXpert is designed to understand, interpret, and generate natural language. This ability allows it to perform many tasks, such as accurately answering user questions, offering customer service help, providing [2] personalized recommendations, and automating routine tasks. To achieve these interactions, ChatXpert uses a set of NLP techniques. These include intent recognition (identifying the user's goal), named entity recognition (NER) (spotting key information like names, dates, and locations), sentiment analysis (grasping the emotional tone of the conversation), and strong contextual understanding [3] (keeping the conversation coherent). The system combines machine learning models and rule-based logic, creating a hybrid approach that improves its adaptability and performance over time. The flexibility of ChatXpert means it can be applied across many industries. In e-commerce, it can handle customer inquiries and recommend products. In education, it might help students with learning materials or answer administrative questions. For healthcare, it could provide initial symptom assessments or guide patients to useful information. In finance, it could assist with balance inquiries or transaction details. In human resources, it could simplify onboarding or answer HR policy questions. It can [12] also improve experiences in travel (booking help, destination info) and entertainment (content recommendations, event details). This paper shows how using modern AI and NLP can improve user interaction and engagement through advanced automated dialogue systems.

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 Keywords

Artificial Intelligence (AI), Natural Language Processing (NLP), Conversational Agents, Chatbots, Interactive Dialogue Systems, Context-Aware Systems, Intent Recognition, Entity Extraction, Sentiment Analysis, Emotion Detection, Transformer Models (BERT, GPT, etc.), Deep Learning, Machine Learning (ML), Natural Language Understanding (NLU), Natural Language Generation (NLG), Reinforcement Learning, Multimodal Interaction (Voice/Text), Human-Computer Interaction (HCI), Smart Digital Assistants, P

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 Abstract

Shampoo is defined as a it is a hair care product and preparation of surfactant in suitable form of liquid, solid or semisolid used for removal of oil , dirt , skin particle , dandruff environmental pollutants and other contaminated particle that gradually build in hair.

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"REVIEW ON PHYTOCHEMICAL & PHARMACOGNOSTIC EVALUATION ON BEAL FRUIT & ALOE VERA & ALLIUM CEPA"

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Diabetes mellitus is a rapidly increasing global health concern, necessitating the development of functional foods that promote glycemic control without compromising nutritional quality. The present study aimed to formulate and evaluate a diabetic-friendly energy bar using natural, nutrient-rich ingredients. The bar was developed with raw jackfruit powder as a low-glycemic carbohydrate base, complemented by palm sugar and date syrup for natural sweetness. A combination of chia seeds, flaxseeds, sunflower seeds, and pumpkin seeds was incorporated to enhance dietary fiber, omega-3 fatty acids, and essential micronutrients, while oats provided ?-glucan for improved glucose regulation. Peanuts served as a source of plant-based protein and healthy fats, supporting satiety and energy balance. The formulated bar was characterized for its proximate composition, nutrient density, and potential glycemic response. Results indicated that the product is high in fiber, protein, and bioactive compounds, with reduced glycemic impact compared to conventional snack bars. Its formulation makes it particularly suitable for individuals with hyperphagia, as well as for those following diet-focused or calorie-conscious lifestyles. Furthermore, its gluten-free and organic composition enhances its applicability for diabetic individuals and the wider health-conscious population. Overall, this study highlights the potential of utilizing locally available ingredients such as jackfruit to create sustainable, functional snack products that address the dual challenges of nutritional security and lifestyle-related diseases.

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 Keywords

Diabetic-friendly energy bar, Jackfruit powder, Functional foods, Glycemic control, Dietary fiber.

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Indian cement plants operate complex, high-temperature, high-throughput, and highly interdependent processes where small human or system errors can escalate into costly quality defects, safety incidents, and unplanned downtime. Poka-Yoke (mistake-proofing) offers a low-cost, high-reliability strategy to prevent, detect, or mitigate errors at their source by design. This paper maps an error taxonomy specific to cement operations, proposes a lean-safety integrated Poka-Yoke framework, evaluates Poka-Yoke interventions across departments and rollout roadmap for Indian plants. The research methodology combines quantitative analysis of production data, qualitative interviews with plant personnel, and direct observation of manufacturing processes. Key findings indicate that systematic implementation of Poka Yoke techniques resulted in a reduction in quality defects, decrease in material wastage, and improvement in overall equipment effectiveness (OEE). The study provides practical insights for cement manufacturers seeking to implement error prevention strategies and contributes to the broader understanding of lean manufacturing applications in process industries.

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Poka Yoke, Error Prevention, Cement Manufacturing, Quality Management, Lean Manufacturing, Process Improvement

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Issues and Sensibilities of Ethnicity in the Lyrics of Bharat Ratna Dr Bhupen Hazarika Dr Dhrubajyoti Malakar Assistant Professor Department of English Pub Bongsor College Pacharia, Kamrup, assam Email Id: d.malakar13@gmail.com Ph No: 7663045225 Abstract The present study is a search of ethnicity represented by Bharat Ratna Dr Bhupen Hazarika in his lyrics. An attempt has been made to explore the invisible exchanges that exist between ethnicity and music in him and how the 'imagined communities' of Hazarika who remained dear to all people cutting across boundaries, generations, caste, creed or sect, evolutes the myth of bor-axom (Greater Assam). Ethnicity is a form of cultural identity. Hazarika, who had a genius for weaving a magical tapestry out of traditional Assamese music and lyrics, was regarded as one of the greatest cultural communicators of South-East Asia. As a student of Political Science, he observed and understood the contemporary political scenario and as a student of Mass Communication he knew very well how to communicate people, how to go into the core of the heart of the mass people. As a performer, he utilized the strength of music as the weapon for bridging the gap among the ethnic people of the North East. With due methodologies of humanities, this socio-literary study finds the conclusion that this extraordinary balladeer had been rightly represented the ethnic identity of the North Eastern Region of India in his lyrics in an individual and meaningful way. Key Words: Ethnicity, Representation, Bhupen Hazarika, Lyric Poetry

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Key Words: Ethnicity, Representation, Bhupen Hazarika, Lyric Poetry

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Rice holds a vital position as a major economic crop in India. Among its attributes, grain quality is of prime importance since it directly impacts consumer acceptance in local as well as global markets. The performance of various grain quality traits depends heavily on environmental influences and cultivation practices. In the present study, data from ten experimental fields located in Bhor and Velhe talukas of Pune district were collected and analyzed. The findings revealed that ash values are notably affected by both environmental conditions and weeding practices of the respective fields. Overall, the results confirm that environmental factors and weed management practices play a vital role in determining rice grain quality and productivity. These insights can contribute to the development of improved cultivation practices aimed at enhancing both crop quality and yield.

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Grain Quality, Weeds, Rice field, Ash value,Acid insoluble

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The present study aimed to investigate factors associated with academic achievement of foreign undergraduate students in Sudanese universities. A sample of 139 participants from selected countries of eastern Africa namely; Kenyan, Somali and Ethiopia was selected with non-probability sampling and the data collected through questionnaire were analysed through descriptive and inferential statistical analysis. Demographic variables investigated in relation to academic achievement were age, gender and year of study. Other factors examined were institutional factors, instructional factors and learning habit of the student. Findings of the study revealed insignificance of gender in relation to academic achievement of students. However, analysis indicated statistical significance of age and year of study in addition to learning habit of the student. However, the study concluded insignificance of institutional and instructional factors in relation to academic achievement. The findings of this study have important implications for higher education institutions in Sudan in general and for the lecturers and instructors whom they are entrusted to enhance the academic performance of the students. Thus, the researcher has recommended at the end of the study some measures that can be taken into consideration in order to enhance the academic achievement of the undergraduate students and foreign students in particular.

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 Keywords

Factors, Academic, performance, foreign, undergraduate, female students, Sudanese universities

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This research paper identifies the issues and problems faced by Indian banks in implementing monetary policy decisions. Using a qualitative and exploratory research design, involving interviews, document analysis, and case studies, the research tries to explore key factors that hinder the effective transmission of monetary policy. The findings reveal that structural constraints, regulatory and policy framework issues, market imperfections, behavioral characteristics, and global factors all contribute to the difficulties faced by Indian banks. The paper recommends a combination of policy measures, regulatory reforms, and institutional changes to enhance the transmission of monetary policy and address these challenges.

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 Keywords

Indian Banks, Monetary Policy, Monetary Policy Implementation, Challenges, Banking Challenges, Transmission of Monetary Policy

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Customers are once again at the heart of the business world with the advent of online networks, which also gives marketers new tools to engage with customers and creatively incorporate them into companies. To put it simply, marketers need to know how online networks have affected customer buying cycle. In contrast to traditional media, online networks focus on giving marketers new avenues to explore to promote a product or service, making it the modern marketing method. Consumer behavior and satisfaction have grown in importance in recent years helping any business secure its place in the market and boost profitability. Organizations are using online networks as a tool for this. It is clear from data that businesses are using online networks to communicate with their customers. Online networks have provided businesses with a new approach to interacting with customers and influencing their buying cycle. People share their experiences, opinions, facts, recommendations, cautions, and any other topic that interests their friends or "connection" on online networks. The marketers use online networks to advertise. Using this advantage, marketers develop marketing strategies that may lead to an increase in their clientele. Online networks is an extremely user-friendly platform for reaching customers. These advantages make it easier for people to get what they want. The extensive review of literature suggests that online networks can be used to forecast buying decisions. It may be possible to find more variables in future research to help explain the buying cycle. The current research can be further extended by considering other online networks platforms like blog posts and reviewing sites to gain a deeper comprehension of the buying cycle of the target audience.

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 Keywords

Online networks, consumer behaviour, & buying cycle.

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Creative Commons Attribution 4.0 and The Open Definition