Volume 13 | Issue 10 |

 Abstract

Rajasthani Lok Sangeet Ke Sanrakshan Aur Sanvardhan Mein Langa, Manganiyar, Mirasi Tatha Jogi Jatiyon Ka Yogdan: Paschimi Rajasthan Ke Vishesh Sandarbh Mein

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Rajasthani Lok Sangeet Ke Sanrakshan Aur Sanvardhan Mein Langa, Manganiyar, Mirasi Tatha Jogi Jatiyon Ka Yogdan: Paschimi Rajasthan Ke Vishesh Sandarbh Mein

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A consumer's eco-conscious mindset is their way of thinking about and caring for the planet. An individual's environmental attitude consists of their certainty, feelings, and planned actions in regards to environmental protection and preservation. The paper aims to examine the impacts of demographic variables on consumer attitude of green products. Descriptive research was adapted for this study. The survey provides a snapshot of the current status in terms of customers' beliefs and intentions to buy green products, taking into account the effects of demographic factors. The Structured Questionnaire is used to collect primary data. In order to reduce the potential for bias, the questionnaire only included closed-ended items. Individuals were asked to fill out a questionnaire that included questions on their demographics, income, and attitudes and intentions about the purchase of green products. The sample of the study was found to be infinite which consists of purchasers of green products. The population frame of the buyers cannot be ascertained which made the study to adopt for non-random sampling technique. The judgement sampling technique was used for selecting the sample from the population. The sample size of the study was fixed to be 120 based on the pilot study that was conducted in the study area. The area of study was fixed to be Salem which is based on its growing demand for green products in the study area. The collected data were segregated based on the needs of the objectives and coded using the SPSS-20. The chi-square analysis and ANOVA was used for analyzing the data. The socio-economic variables are lacking impact on the consumer attitude towards the green products in the study area.

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Green Products, Consumer Attitude, Age, Income

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The detection of financial fraud is a growing concern in digital finance, with the development of new fraud techniques challenging conventional security systems. Conventional detection techniques, such as rule-based techniques, machine learning models, and so on, have limitations, including dynamic fraud patterns, imbalanced datasets, and high rates of false positives. In view of the above issues, this research offers an Optimized Multi-Class Financial Fraud Detection Framework that incorporates Convolutional Neural Network (CNN) and Bidirectional Long Short-Term Memory (BiLSTM), whereas the Enhanced Golden Search Algorithm (EGSA) is utilized for hyperparameter adjustment and feature optimization. The integrated CNN-BiLSTM drilling method to extract the spatial-temporal features further improves fraud detection in high-dimensional transactions. The Hierarchical spatial dependencies captured by CNN and sequential learning proficiency through BiLSTM compensated to create better anomaly data detection. EGSA chooses the best features and hyperparameters on the fly, which makes classification more accurate and saves time on computation. This paper evaluate the proposed framework on large-scale financial datasets such as the IEEE-CIS Fraud Detection Dataset, the PaySim Mobile Financial Transactions Dataset, through experiments, CNN-BiLSTM-EGSA has been proven to yield better performance results compared with normal models like OCNN-RNN, Random Forest, XGBoost, SVM, LSTM, and ordinary CNN structures, reaching over 99.5% accuracy, Moreover, the low latency and high throughput of CNN-BiLSTM-EGSA are proven to be suitable for real-time deployment, which makes our proposed architecture an ideal candidate for real-time fraud prevention. A new framework is suggested to deal with the problem of changing fraud patterns. It does this by using sequential deep learning to handle temporal data contexts and hyperparameter optimization to get fast learning rates without sacrificing accuracy.

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: Financial Fraud Detection, CNN-BiLSTM, Enhanced Golden Search Algorithm (EGSA), Deep Learning, Hyperparameter Optimization, Multi-Class Classification, Anomaly Detection, Transaction Security, Fraudulent Activity Recognition, Real-Time Fraud Prevention.

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Abstract: This paper synthesizes historical, genetic, anthropological, and socio-cultural research to examine competing and complementary explanations for the origin and persistence of caste in South Asia. The historical literature has long debated whether caste primarily crystallized with the arrival of Indo-European-speaking groups or whether it emerged from earlier, indigenous forms of stratification organized around clan, totem, and occupation. As a result of recent genetic studies, simple "imposition" narratives have been complicated. This research has revealed that structures of social status, marital control, and occupational specialization existed before Indo-Aryan linguistic groups were fully consolidated. Furthermore, superimposition of endogamy on exogamy in later times reinforced hierarchy rather than creating it ex-nihilo (Ambedkar vol. 1). The evidence from mitochondrial DNA, Y-chromosome lineages, and medical genetics shows substantial maternal continuity across populations with sharper differentiation in paternal lines, consistent with gendered pathways of social incorporation and boundary making. Religious rationalizations around purity and pollution subsequently codified these social boundaries; colonial and postcolonial knowledge practices then reinterpreted, enumerated, or politicized them. Contemporary work in development studies and social psychology reveals the durable impact of caste on opportunity, skill acquisition, health, and subjective beliefs about agency. Throughout, we show that caste is best understood as a historically layered formation: early agrarian and tribal orders sedimented into ranked groups; religious and legal regimes sanctified those ranks; endogamy locked them in place; and modern institutions alternately challenge and reproduce them. We conclude by outlining a framework that reconciles genetic homogeneity with social heterogeneity and highlights how methodological pluralism, combining archives, ethnography, surveys, and genomics, yields a more adequate account of caste's past and present.

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Keywords: Caste, Varna, Jati, Endogamy, Indo-Aryan Migration, Purity and Pollution, Genetic Ancestry, Colonial Enumeration, Skill Development, Psychosocial Outcomes.

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This research paper aims to investigate the Townsite Sales Application (TSA) process in Baguio City, Philippines, addressing the research problem of understanding the issues and variables affecting TSA applications in selected barangays. The study follows a qualitative research design, employing exploratory and descriptive research methods to gather data. Collaboration with various entities, including government offices and geodetic engineers, was crucial for effective communication and data collection. Data was collected through documentation, non-statistical survey questionnaires, and live interviews. The findings from the analysis of the data shed light on the complexities and challenges involved in the TSA process. Major trends and factors were identified, including overlapping issues, ancestral land claims, tie-line problems, land suitability, and the payment process contributing to pending applications. The Mines and Geosciences Bureau (MGB) 's involvement in hazard assessments and the unexpected encounters that can disrupt the process, such as adverse claimants and policy changes, were highlighted. The perspectives of approving and processing authorities, geodetic engineers, and barangay officials provided insights into common issues and limitations faced during the TSA process. Based on the data analysis, it is concluded that streamlining the application process, enhancing coordination among stakeholders, increasing awareness and education, supporting geodetic engineers, and addressing corruption and bureaucracy are crucial for improving the TSA process in Baguio City. These recommendations aim to promote a more efficient, transparent, and fair land development and ownership system.

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Townsite Sales Application (TSA) | Streamlining the application process | Awareness and education | Efficient TSA process | Transparent TSA process | Coordination among stakeholders | Fair system for land development and ownership | Pending applications

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Trypanosomiasis, Trypanosome, Sleeping Sickness, Parasitemia, Tetrapleura tetraptera

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Investment means using money with the goal of increasing wealth over time. People can choose to invest directly by buying and managing securities themselves or indirectly through financial intermediaries like mutual funds. When investing directly, the person has full responsibility for all decisions, which requires good knowledge of the market and strong skills in managing a portfolio. On the other hand, when investing indirectly, the person relies on professional fund managers to make investment decisions, which lessens the personal responsibility and effort involved. This paper looks at the risk and return levels of some of the best-rated equity mutual funds in India. It uses statistical tools such as standard deviation, Sharpe ratio, beta, Jensen's alpha, and Treynor's ratio to compare how different fund categories perform. These categories include ELSS, large-cap, mid-cap, and flexi-cap funds. The study aims to find out which investment schemes offer good returns relative to the risk taken and provides guidance for investors.

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Mutual Funds, ELSS, Large-Cap, Mid-Cap, Flexi-Cap, Risk-Return, Sharpe Ratio, Jensen's Alpha

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Reliable data transmission is a fundamental requirement in modern communication systems. Signals transmitted over communication channels are often corrupted due to noise, interference, and fading, leading to transmission errors. Channel coding, which includes error detection and correction techniques, plays a vital role in ensuring data integrity. This paper provides a comprehensive review of error control techniques, including Automatic Repeat Request (ARQ), Forward Error Correction (FEC), and block coding, with a focus on Golay codes. The paper discusses the types of transmission errors, coding structures, implementation methods, and highlights recent developments in high-speed and efficient error correction for memory and communication applications.

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Error Detection, Error Correction, Forward Error Correction, Golay Codes, Block Codes, Communication Systems

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This study focuses on designing and analyzing a Pelton wheel bucket using SolidWorks and ANSYS to evaluate its performance under realistic hydraulic loading. Three materials--Inconel 625, Gray Cast Iron, and Stainless Steel--were compared. Inconel 625 showed superior strength and fatigue resistance, Gray Cast Iron offered cost benefits but lower durability, and Stainless Steel provided balanced strength, corrosion resistance, and affordability. The study emphasizes CAD and FEA integration for optimizing Pelton wheel bucket design to enhance efficiency, durability, and sustainability in hydroelectric systems.

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Pelton wheel, Finite Element Analysis (FEA), Material selection, ANSYS simulation, Hydroelectric power

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This project focuses on designing and analyzing a camshaft using SolidWorks and ANSYS. A 3D model was developed and tested under real conditions to study stress, deformation, and vibration. Three materials--Gray Cast Iron, Inconel 718, and Aluminium Alloy--were compared. Inconel 718 showed superior strength and fatigue resistance, Gray Cast Iron offered good damping and cost benefits, while Aluminium Alloy provided lightweight advantages. The study emphasizes material selection for improving

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camshaft, aluminium alloy, grey cast iron and Inconel 718

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Creative Commons Attribution 4.0 and The Open Definition