Volume 13 | Issue 9

 Abstract

This theoretical study investigates the dynamic behavior of a nanoelectromechanical system (NEMS) composed of a suspended carbon nanotube (CNT) driven by a radio frequency (RF) electric field in the presence of an external static magnetic field. The research aims to understand the interplay between mechanical motion, electrical properties, and magnetic influences at the nanoscale. We qualitatively explore how the magnetic field affects the CNT's resonant frequencies, its vibrational modes, and its potential as a sensor or signal processing element. The study focuses on the fundamental physics governing these interactions, predicting phenomena such as magnetomechanical coupling and altered electromechanical responses, paving the way for novel device applications.

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Theoretical Study of a Nanoelectromechanical System: RF Driven Suspended Carbon Nanotube in an External Magnetic Field.

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This research presents the development of a stock price prediction Flask-based RESTful API based on several machine learning models, such as Long Short-Term Memory (LSTM), Linear Regression, ARIMA, and Prophet. The system is capable of retrieving and processing historical stock records--mostly from the National Stock Exchange (NSE) of India--and the generation of future stock price predictions through model-based simulations. It is backed by important features like model selection, industry-specific stock categorization, and multi-stock comparison. Even though the predictive models are presently spoofed for demonstration, they emulate real-world market behaviors, providing a proof of concept for production-level inclusion in the future. The system envisioned hides the complexity of ML forecasting such that it is available to developers, analysts, and financial platforms through simple API endpoints. This project provides the basis for the deployment of real-time forecasting systems that can drive intelligent financial dashboards and trading applications.

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 Keywords

Stock Price Prediction, Flask API, Machine Learning, LSTM, ARIMA, Prophet, Linear Regression, REST API, NSE Data, Financial Forecasting, Time Series Analysis, Backend Integration

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This study investigates the effect of principals' Leadership Styles on the Job Satisfaction of lecturers in undergraduate colleges. The research employs a convenience sampling technique to gather data from lecturers. The objective of the study is to understand the relationship between principals' leadership styles- namely democratic, autocratic, and laissez-faire and job satisfaction among lecturers. It also aims to examine the effect of these leadership styles on job satisfaction within the sample group. Data was collected using purposive sampling techniques, and the Leadership Styles Questionnaire was adapted from Donald Clark's 1998 survey. The Teacher Job Satisfaction Questionnaire (TJSQ), developed by Lester, P. E. (1984) based on the work of Maslow and Herzberg, was used to assess job satisfaction. Statistical analysis was conducted using SPSS 25. Spearman's rank correlation and regression analysis were performed to establish the results. The findings showed a moderate positive relationship between democratic leadership style and job satisfaction. However, the regression analysis revealed weak explanatory power, as indicated by the low R-squared (0.061). This suggests that while the democratic leadership style is positively associated with job satisfaction, other factors may play a more significant role in influencing it. This study seeks to provide insights into the nuanced interplay between leadership approaches and job satisfaction, highlighting the importance of a comprehensive understanding of institutional and individual factors in academic settings.

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 Keywords

Leadership Styles, Job Satisfaction, Democratic Leadership, Academic Settings, Undergraduate Colleges

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This report explores the critical role of mentoring in leadership development, a topic of growing importance in today's dynamic organizational environments. By analyzing a variety of data points related to mentoring practices, leadership effectiveness, employee satisfaction, and retention rates, we aim to illuminate the profound impact that effective mentoring can have on developing future leaders. The findings indicate a strong correlation between structured mentoring programs and enhanced leadership skills among participants. Additionally, organizations that prioritize mentoring not only report higher employee satisfaction but also experience improved retention rates. This report synthesizes these insights and provides actionable recommendations for organizations seeking to implement or enhance mentoring programs as a strategic approach to leadership development.

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Leadership,Role,Development

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The banking payment systems have experienced considerable transformations over the last century, due to technological innovations, regulatory changes, and shifts in consumer behavior. This evolution has drastically altered how individuals and businesses manage money and make transactions, as well as redefined the structure and role of financial institutions. From the early 20th century, when physical cash and checks dominated, to the rise of digital banking in the 21st century, key developments have included the introduction of credit cards, online banking, mobile payments, blockchain technology, and cryptocurrencies. These advancements have not only improved the efficiency, security, and accessibility of financial services but have also paved the way for new financial products, including digital-only banks and decentralized finance systems. This paper examines the key phases of this evolution, focusing on the technological advancements from the first ATMs to the rise of AI. This paper will also examine how decentralized digital currencies have changed the banking system and how it has changed the global financial landscape

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 Keywords

Digital Payments, AI, Online Banking, UPI

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uokpkj] vkn'kZ f'k{kd] vykspukRed fparu] dkS'ky fodkl] O;wjpukA

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The rapid diffusion of artificial intelligence (AI) prompting in educational settings is transforming not only modes of learning and instruction but also fostering advanced metalinguistic skills among learners and educators. This paper conducts a critical synthesis and review of recent research and theoretical perspectives on the convergence of AI prompting--particularly engagement with large language models (LLMs)--and the development of metalinguistic awareness, defined as the ability to consciously reflect on, analyze, and manipulate language. Integrating evidence from over twenty prominent educational studies, the article explores both the mechanisms and outcomes of AI prompting for language learning, curriculum development, and assessment practices. The findings underscore that purposeful AI prompting deepens metalinguistic reflection by supporting explicit language analysis, feedback-driven practice, and the negotiation of meaning across diverse linguistic and cultural settings. The implications for inclusive pedagogy, curriculum design, and future research directions are discussed.

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 Keywords

AI prompting for language learning, Metalinguistic Analyse, Inclusive Pedagogy

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 Abstract

Panchakarma plays an important role to cleans the various system of body. Many acute and chronic surgical conditions like vrana (wound), bhagna (musculo-skeletal injuries), Arsha (hemorrhoids), Bhagandara (fistula in ano), Arbuda (tumours), shlipada ( filariasis), shopha (swellings and vidradhi (abscess) etc. In the classical texts of Ayurveda, a very detailed description of panchakarma is available, with special relevance in the management of various surgical pathologies. In this article, an effort has been made to explore the applied concepts of panchakarma in the field of shalyatantra in various ways. Panchkarma is also mentioned in SHASHTIUPKRAM in sushrut Samhita.

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Panchakarma, Shalyatantra, Doshas, Ayurveda.

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uSfrd ewY;] lokZaxh.k fodkl] bfUnz; la;e] fu"Bk] lnkpkj] lfg".kqrk] ijksidkjA

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Introduction: The Bhagavad Gita's Karma Yoga is the yoga of selfless action. It is the path of dedicating all work to the Divine without attachment to the results. Lord Krishna instructs Arjuna to perform his prescribed duty (svadharma) as a sacrifice, abandoning any desire for personal gain (Bhagavad Gita 2.47, 3.19). By offering the fruits of one's actions to God, the individual soul becomes free from the bondage of karma and attains peace and liberation (moksha). It is about cultivating equanimity in success and failure while actively engaging in the world. In today's fast-paced world, Karma Yoga is profoundly relevant. It teaches selfless action, offering an antidote to stress and burnout by shifting focus from anxious outcomes to dedicated effort. This practice cultivates mental peace and purpose, transforming mundane tasks into meaningful contributions.Karma Yoga is the direct path to personal excellence. By performing one's duty with utmost skill and integrity, without attachment to reward, an individual naturally strives for their highest potential. This discipline purifies the mind, fosters continuous self-improvement, and turns work into a spiritual practice, culminating in mastery and inner growth. Aim of the Study: To explore Karma Yoga as a philosophical and practical framework for achieving personal excellence, based on insights from the Bhagavad Geeta. Objectives: This study examines the core principles of Karma Yoga from the Bhagavad Gita, which advocate for selfless action and detachment from results. Its practice is shown to foster modern professional growth, resilience, and inner balance by shifting focus to the integrity of the work itself.

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Keywords: Karma Yoga, Bhagavad Geeta, Personal excellence, Selfless action, Equanimity,

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"Recent developments in generative AI have brought into question ideas in patent law thought to be settled. The principal question is whether an artificial intelligence system--acting alone or with a modicum of human involvement--can be treated as an "inventor" under national laws, and international treaties. This article explores the legal, textual, and policy implications of the "AI inventor" question through case law across jurisdictions, and considers how statutes might be construed or modified in response. It argues that while history has tied inventorship to natural persons, that associational approach has practical and moral implications, including disincentives or evidentiary challenges for inventors. The article outlines specific legislative and doctrinal reforms to clarify what role human involvement may be required, and to establish temporary measures to assign rights when AI complies without humans. The goal is to navigate longer-term legal stability while enabling patent law to be a responsive legal framework capable of adapting to changes in technology over time."

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artificial intelligence, inventorship, patent law, DABUS, intellectual property reform, innovation policy

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This research does a comparative evaluation of three allegorical female characters--Pandora from Greek mythology, Sita from the Ramayana, and Eve from the Judeo-Christian tradition--to identify how the representation of their characters has been changed to maintain the dominance of the male gender. These female figures derived from very different cultural settings are conceptually very close in the end: all of them are accused to have committed the biggest sin that misplaces blame of the society, God, or males onto women. While Pandora, as per Hesiod's description, was a punishment made by gods technically erasing her previous status of a mother earth; Sita's experience with Agnipariksha shows how society and legal systems have turned virtue into a weapon for repression of women's agency; and Eve's link with original sin is a gradual theological imposition, especially by Augustine, thus consolidating the position of women in the hierarchy of subordination. The work is an interpretation of the view that blaming mechanisms--deterministic, societal, and theological--are different but intersect at the point of disempowerment of women. The feminist movement today and the newly interpreted versions of the characters speak out the once quiet voices, thus, myth still stands as an ever-changing cultural text that can be altered and challenged.

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Pandora, Sita, Eve, Greek mythology, Hindu mythology, Judeo-Christian tradition, Ramayana, Book of Genesis, Hesiod (Works and Days, Theogony), Augustine and Original Sin, patriarchy, archetypes of female blame, myth and gender, feminist literary criticism, comparative mythology, reception studies, cultural reinterpretation, feminist retellings, agency and voice, subjugation and resistance.

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Artificial Intelligence (AI) workloads place heavy demands on computational hardware, necessitating advanced power management strategies like Dynamic Voltage and Frequency Scaling (DVFS). This paper presents a workload prediction model for multicore systems based on metrics derived from simulations using the PARSEC benchmark suite and gem5. The proposed regression-based model uses system-level metrics such as IPC, CPI, cache misses, and memory access rates to accurately predict workload performance. The results show a high degree of accuracy in workload prediction, demonstrating the efficacy of machine learning models in optimizing energy efficiency through DVFS.

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Dynamic Voltage and Frequency Scaling (DVFS), Workload Prediction, PARSEC Benchmark, Multicore Systems, Regression Model, Machine Learning.

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This descriptive cross-sectional study aimed to assess self-care practices and associated factors among Type 2 Diabetes Mellitus (T2DM) patients attending the outpatient department of a tertiary care hospital in Bhopal. A total of 352 T2DM patients aged 18 years and above, diagnosed for more than one year, were selected using non-probability convenience sampling. Data were collected using the Summary of Diabetes Self-Care Activities (SDSCA) questionnaire and a self-structured tool assessing demographics, clinical variables, and self-care behaviors. Statistical analysis was conducted using SPSS version 20, with significance set at 0.05. The results revealed that only 15.06% of participants exhibited good self-care practices, while 39.77% had moderate adherence and 45.17% showed poor self-care. Exercise adherence was notably low (13%), and 66.7% had poor blood glucose monitoring, despite 29% owning a glucometer. Significant associations were found between self-care practices and education (p=0.003), occupation (p=0.004), and glucometer availability (p=0.002), while poor exercise habits correlated with marital status (p=0.047) and residence (p=0.013). The findings highlight critical gaps in self-care, particularly in exercise and blood glucose monitoring, emphasizing the need for increased awareness and structured support to enhance diabetes management and prevent complications.

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Diabetes Mellitus; Self Care; Patient Compliance; Health Knowledge, Attitudes, Practice; Outpatients.

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The culture of the Brahmaputra Valley evolved as a result of the integration of Aryan and non-Aryan elements. Religious beliefs and practices shaped the cultural and religious landscape of the valley. The valley is a land of myriad tribes. Each one of them has their own traditional faiths and religious beliefs. Hinduism, Buddhism, Jainism, Islam, Christianity are prevalent in the region. They worship their deities as their belief system. Historically, the indigenous communities of the region including tribes like the Bodos, Mishings, and Karbis worshipped nature as their deity in various forms. This is known as animism, a religious system based on the notion that all natural elements, including rivers, mountains, trees, and animals, have spiritual value and are inhabited by supernatural powers. With the entrance of Hinduism, Buddhism, and later Islam and Christianity, the animistic practices in the Brahmaputra Valley underwent a transformation, leading to a syncretic religious culture. Understanding the role of nature in the traditional belief system of the Brahmaputra Valley provides valuable insights into the unique cultural character of the area. Using a historical lens, the study will attempt to explore animistic beliefs in the Brahmaputra Valley.

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Animism, Brahmaputra Valley, Traditional, Indigenous Communities, Beliefs, Religious.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The abstract is compacted in the pdf file

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Socio-Political, sexual,modernist

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The purpose of this study is to examine investor sentiment on green finance. It seeks to shed light on investors' attitudes, tastes, and actions in relation to sustainable investing. The study investigates investor attitude, including knowledge with various green finance products and government policy and legislation pertaining to green finance, using the descriptive analysis of survey data. Here, we use the 150 respondents' data. The study's conclusions emphasis how crucial it is for investors to have more education and understanding about green financing. The report emphasis's how important it is for stakeholders to work together to promote sustainable investment practices.

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SUSTAINABLE GOAL, INVESTORS ATTITUDE, GREEN FINANCE, INVESTORS PERSPECTIVE AND SUSTAINABLE INVESTMENT.

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This article review summaries the finding of the systematic review entitled Exploring applications of Artificial intelligence in Critical Care Nursing by Gunasekaran et al. (2025). This review explores how artificial intelligence is applied in critical care nursing practice. Focusing on its goal in enhancing clinical decision making, improving patient monitoring, reducing nurses work load and supporting clinical education. Through an analysis of 12 elected studies published between 2018 and 2023, the author discussed the benefits and limitations of AI technologies used in critical care units. The review concludes that while AI has transformative potential, its ethical concerns, lack of training and insufficient nurse involvement in AI development remain key challenges. The study emphasizes the importance of structured training, nurse participation and ethical considerations for effective AI integration in nursing.

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Artificial Intelligence, Critical Care, Nursing

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Today's children are tomorrow's citizens. They are in a continuous process of growth and development. Any alteration in its course leads on to developmental disorders. Of the developmental disorders learning disability plays a significant role as a silent handicap among children. It is estimated that 4-5% of students in school have learning disability.

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ASSESS THE KNOWLEDGE REGARDING LEARNING DISABILITY OF CHILDREN AMONG SCHOOL TEACHERS IN SELECTED SCHOOL

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 Abstract

Jain sadhna mein gupt,samiti,anupreksh evam parishah

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Jain sadhna mein gupt,samiti,anupreksh evam parishah

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Creative Commons Attribution 4.0 and The Open Definition