Volume 4 | Issue 4 |

 Abstract

Bharatiya samaj mein naari ka sthaan poojniya raha hai. Samaj tatha sabhyata ke vikas mein mahilaon ka yogdaan sarvopari raha hai. Kabhi vah beti bankar parivaar ki shobha badhaati hai, to bahan bankar bhaiyon se dulaar karti hai, wahi maa bankar santaan ka laalan-paalan karti hai. Badi hone par bhi uska sammaan kam nahin hota aur vah bua, daadi-naani bankar gauravmay jeevan jeeti hain. Bharat hi nahin sampoorn vishv mein stree ka sthaan mahatvapoorna raha hai. Jahaan bhi stree ke sammaan ko chot pahunchi hai, vahaan vikas nahin vinaash hua hai.

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Mahila Sashaktikaran - Ek Vishleshan

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This work explain the applications of game theory in the daily life specially in economics and decision making.It is observed that game theory is applied not only in games but also has much wider aspects .The applications listed in this work has been found to be in accordance with the society. It is not only theoretically listed but also practically applicable in daily life. This work will give an answer to those who asks what is the use of mathematics in our daily life , why should we learn it or what is the need to study it.

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Game Theory , decision making , daily life , players , games , market mechanism

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Line-following robots remain a canonical bench- mark for closed-loop control on embedded platforms because they combine non-linear sensing, actuator saturation, and tight real-time constraints. Although proportional-integral-derivative (PID) control is widely used, deployments frequently suffer from oscillation on sharp curves, integral windup under actuation limits, and sensitivity to surface reflectance changes. This paper presents a curvature-aware discrete PID design for differential- drive line followers that (1) uses a filtered centroid-based error estimator from a reflectance array, (2) incorporates derivative filtering and back-calculation anti-windup for stability under PWM saturation, and (3) applies lightweight gain scheduling driven by an online curvature proxy derived from the sensor profile. We provide a reproducible modeling pipeline, embedded implementation details for 1 kHz control, and an evaluation pro- tocol across three track types (low-curvature, mixed, and high- curvature). Results show that the proposed controller reduces mean absolute lateral error by 3.6% versus a fixed-gain PID and by 44.6% versus a Ziegler-Nichols tuned PID, while improving the 95th-percentile error and reducing oscillatory behavior at high speed. All figures are generated from included scripts, and all references are provided in a BibTEX database

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Line following, PID control, anti-windup, gain scheduling, embedded control, reflectance sensors, differential- drive robot.

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Bevinur Shasanokta Kshitiruha nompi

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Bevinur Shasanokta Kshitiruha nompi

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This paper examines the intricate portrayal of gendered diasporic identities in Jhumpa Lahiri's The Namesake and Interpreter of Maladies. It argues that Lahiri meticulously delineates the distinct yet interconnected challenges faced by male and female characters as they navigate cultural displacement, assimilation, and the complex search for belonging within the Indian diaspora. Drawing on postcolonial and feminist theoretical frameworks, the analysis explores how gender profoundly shapes experiences of migration, identity formation, and the negotiation of cultural hybridity across generations. Through in-depth character studies of Ashima and Gogol Ganguli in The Namesake, and Boori Ma, Mrs. Sen, Twinkle, and Lilia in Interpreter of Maladies, the paper reveals Lahiri's nuanced depiction of entrapment, evolving agency, and the pursuit of fluid, multi-anchored identities. Ultimately, Lahiri's oeuvre offers a profound commentary on the human condition in a globalized world, highlighting resilience, adaptation, and the enduring quest for self-definition beyond rigid cultural boundaries.

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Gendered Diasporic Identities in Jhumpa Lahiri's The Namesake and Interpreter of Maladies

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The study aimed to investigate the influence of standing height and arm length on the playing ability of university-level male hockey players. A total of 100 players (aged 18-25 years) from six universities in Andhra Pradesh, who had competed in inter-university tournaments, were selected as subjects. Standing height was measured using a stadiometer, arm length with an anthropometric rod, and playing ability was assessed through expert ratings during competition. Statistical analysis using simple, partial, and multiple correlations at the 0.05 level of significance revealed significant relationships between anthropometric variables and playing ability. Standing height showed a correlation of r = 0.452 with hockey playing ability, while arm length demonstrated r = 0.386, both exceeding the table value of 0.197 (df = 98). The combined effect of the two variables yielded a multiple correlation coefficient of R = 0.720, which was greater than the tabulated value of 0.353 (df = 93), indicating a strong predictive relationship. Partial correlation also confirmed significant contributions of standing height (r = 0.324) and arm length (r = 0.263) to playing ability. The findings suggest that standing height and arm length are significant predictors of hockey performance, offering valuable implications for player selection, talent identification, and performance enhancement in university-level hockey.

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Standing height, Arm length, Anthropometry, Hockey performance, University players, Playing ability, Talent identification

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Recent trend of advanced manufacturing processes like Laser Cutting Machine. In Fabrication industries require more production by using automation so that required CNC machine which is more popular for mass production. Laser Cutting Machine having different critical components are them so in that mechanical side to develop CNC axes as per technology concern. In CNC axes required different parts like Runner Block, Rails, and Linear Drive Motor etc. In past there were ball screw used for making CNC axis now a day linear drive mechanism used more because it is more powerful system to positioning, efficiency. By using CAD tools like Solid Work, to make 3 D Modelling for required part and practical analysis for cost.

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Design, Analysis, Linear Drive Mechanism, CNC Axes, FEA.

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Frequent pattern mining and association rule mining are foundational in data mining, enabling the discovery of hidden relationships and patterns within large datasets. This comprehensive survey, provides an expanded overview of the key algorithms, their evolution, comparative strengths and weaknesses, and major research trends. The report covers traditional, advanced, and emerging methods, with a focus on both static and dynamic data environments, scalability, utility-based mining, parallelization, and domain-specific adaptations. Real-world applications, open challenges, and future research directions are also discussed.

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Frequent pattern mining,Association rule mining,intrusion detection

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Creative Commons Attribution 4.0 and The Open Definition

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The growing demand for seamless data sharing across diverse platforms has highlighted the need for robust integration solutions, particularly in environments dealing with both structured and unstructured data. Current systems primarily address structured data integration, leaving a significant gap in handling unstructured file-based data. This paper proposes a novel model designed to integrate, query, and share unstructured data, focusing on news feeds as a case study. We explore how integrating heterogeneous data sources can be optimized, highlighting the importance of grid technology and unified access interfaces.

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Data Integration, Unstructured Data, News Feeds, Grid Technology, SEO

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Our work on the synthesis of 1, 5-0benzothiazepines, we report herein the synthesis of six new 2, 3-dihydro-1, 5-benzothiazepines1-2 having a methoxyl group at various positions in the phenyl ring at position 2 or 4, alone or alongwith other groups.

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aminothiophenol , sulphydryl, chalkones, isotopic , methoxybenzalacetophenone

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Creative Commons Attribution 4.0 and The Open Definition