Volume 11 | Issue 8

 Abstract

In the realm of mathematics education, the integration of Artificial Intelligence (AI) offers transformative potential by automating the analysis of student problem-solving processes. This research explores the development of an AI-based Mathematics Problems Analysis System (MPAS) designed to enhance teaching and learning experiences. The system leverages machine learning algorithms to analyze and interpret student responses, providing real-time feedback to educators on common misconceptions, learning patterns, and individualized progress tracking.

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Artificial Intelligence, Mathematics Education, Problem-Solving Analysis, Machine Learning, Educational Technology.

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Abstract: Sports play a transformative role in the holistic development of an individual, fostering physical, psychological, social, and emotional growth. Participation in sports cultivates essential life skills such as teamwork, discipline, resilience, and leadership while enhancing physical fitness and mental well-being. Sports serve as a powerful medium for character building, promoting values like fair play, cooperation, and perseverance. Additionally, they contribute to social integration, cultural exchange, and personal empowerment across diverse populations. By nurturing talent, promoting health, and instilling core values, sports emerge as a vital component in shaping well-rounded individuals capable of navigating challenges in both personal and professional spheres. Sports are recognized globally for their multifaceted benefits in individual and community development, aligning with initiatives by organizations like the United Nations and International Olympic Committee emphasizing sport for development and peace.

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Key Words: Individual, Sports, psychology And Development Analytical thinking, Goal setting, Leadership skills,

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Malda is very famous for mango (Mangifera indica L.) production based on suitable conditions of soil. Mango has long been a major agricultural product in the district. In this paper, analysis has been made on suitable soil condition sustaining mango productivity based on soil textural analysis by sieve method and secondary data. (Comprehensive District Agricultural Plan (C-DAP) -Malda prepared by NABCONS- XIth Plan Period). Soil textural analysis for cultivation of mango has been computed between block wise mango productivity and different soils. The soil type of the district is predominantly sandy (9225 ha.), sandy loam (21430 ha), loam (8013 ha.), sandy clay loam (38780 ha), clay loam (14500ha.) and clay (71563ha) (NBSS-LUP). Three physiographic regions can be identified in the Malda District: Barind, Diara and Tal. The Barind soil of this tract is red in colour implying old alluvium formation. It is composed of still clay containing iron. The soil in this tract is mostly acidic and micro-nutrient deficient. These soils, therefore, result into low to medium mango productivity in the district. In the Diara Region, the soil is sandy clay loam called do-ash. This region is most fertile part of the district, possessing higher to medium mango productivity. The soil of Tal region is old alluvium with shallow black colour and the mango productivity of this region is medium to higher productivity. For this purpose, sample villages (Mouza) were selected from different physiographic as well as different soil suitability for mango cultivation an intensive field-based study. Block wise grid-based soil samples from Mango orchard fields have been collected and analyzed in the laboratory for extracting soil parameter mainly in soil texture. The final part of the paper deals with correlation between soil texture and mango production in this district. The results show that the area for mango cultivation can be turned into highly productive zone through integrated nutrient management practices including leguminous intercrops or cover crops.

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 Keywords

Mango, Soil Texture, Physiographic region, Mango Productivity, Suitable, correlation.

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The late teen and early youth years are generally regarded as the most fun times in a person's life since they are free from significant responsibilities and are healthy enough to engage in a wide range of entertaining activities. A traditional perception of a college-bound student is that of someone who enjoys a variety of recreational activities, is constantly surrounded by friends, and interacts with parents as little as possible. The general public perception of a college student's life does not include anything depressing or gloomy. The reality, though, is considerably different because people in this age category engage in a variety of dangerous behaviors, including drinking, and drug usage, which raises enough concerns to challenge the widespread belief that being youthful equates to happiness. Young college students experience stress for a variety of reasons, including peer pressure, sadness, drug addiction, and other issues. The goal of this study is to determine whether or not these young college students receive social assistance from friends, family or other acquaintances in times of need. Depression is often characterized by an unhappy mood and is defined as a disease of detachment and isolation. It is crucial to understand the feelings of persons who are afflicted with this illness. However, depression is not defined here as a psychiatric disorder, that is, as something that a person is born with. Instead, it was demonstrated that this disease resulted from various interactions with members of one's social system. Considering this and to understand the problems that these young college students face the present study tries to highlight the social variables that contributes stress, anxiety, depression in them and do they get social support from their family, friends, relatives or any other.

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Mental health, College students, social assistance.

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The issue of criminal liability and mental illness is still a unsolved problem of criminal jurisprudence. Despite being various literature on various facets of this theme, many ideas are seen to exists in justification or explanation of the intensity under controversy. It however presents a problematic thing which deserve to careful analysis. This paper is proposed to examine the following aspects of The defence of insanity in Indian criminal law : Defence of insanity in Hindu and Muslim systems of legal juris-Prudence and modern attempts at codification culminating In section 84 of the Indian Penal Code, 1860. A review of the MacNaghten Rules to show the extent of their inclusion in the Indian Penal Cod alongwith the examination of the judicial interpretation and numerous case-law of over a time, with a multiple of fact situations, to determine the extent and scope of defence of insanity as available under this section. A discussion of some adjoining problems--like the problem of Burden of proof and its quantum--in relation to the defence of insanity. Shortcomings of the law of insanity and some suggestions for Its adaptation to reflect modern advances in medico- Psychic knowledge.

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Insanity , Criminal law, Unsoundness of mind , Defences, Intention.

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Butterflies are one of the most conspicuous species of earth's biodiversity. Being extremely responsive to any changes in their environment, namely, temperature, humidity, light, and rainfall patterns, these insects are identified as useful bioindicators. Sacred grove represents a traditional form of community-based conservation. The biodiversity rich sacred groves are of immense ecological significance. The present study was conducted to estimate the diversity and occurrence of butterfly community of a scared grove in Nattika, a coastal region of Thrissur district, Kerala, India. Data collection was done by transect counting method and species relative abundance was also calculated. In Sacred grove of Nattika, 28 species of butterfly belonging to 4 different families- Nymphalidae, Pieridae, Papilionidae and Lycaenidae were recorded. Family Nymphalidae recorded dominant with 13 species, 512 individuals and Junonia atlites being highest in number and the least number of species was observed in family Lycaenidae.

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Sacred grove, Nattika, Nymphalidae, Pieridae, Papilionidae, Lycaenidae and Junonia atlites.

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Recent advancements in digital signal processing technology have facilitated the utilization of digital microprocessors for the regulation of grid-connected inverters. Nonetheless, the digital manifestation is hindered by phase lag resulting from temporal delays. This phase lag evaluates the stability and resilience of the inverter controller. This study offers a comprehensive assessment of time-delay compensation methodologies for both model-free and model-based inverter controllers in the context of grid connections. MF methodologies predominantly employ proportional-integral and proportional resonance controllers, alongside various strategies aimed at mitigating time delay. In the interim, this study delineates the control strategies most frequently employed by MB, encompassing the Smith predictor and the modified Smith predictor. A comprehensive summary of various analogous strategies from the literature aimed at minimizing delays is presented, alongside a thorough examination of the notable issues related to the MF and MB procedures. Ultimately, this study presents a hypothesis regarding the most favorable approach at present and suggests a hybrid technique that integrates the MF and MB procedures, thereby offering readers a direction for future inquiry.

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Digital Microprocessor, Inverter Controller, Compensation Method, Digital Signal Processing.

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Modern FinTech projects demand structured methods because they improve system operation while maintaining security features and regulatory compliance rules. Largely scaled financial technology companies find scalable solutions that adapt to their specific needs through Agile and SAFe methodology frameworks. Detailed research examines the planned deployment of these frameworks, their influence on project results, regulatory compliance requirements, and development speed. This study applies a mixed research design to demonstrate how Agile and SAFe implementation yields advantages and faces implementation hurdles through performance tracking and qualitative research. Well-structured Agile implementation leads to better collaboration practices, acceleration of product delivery cycles, and superior risk control capabilities. The seamless implementation faces barriers from regulatory obstacles and cultural barriers that resist change. Effective, sustainable innovation requires financial sectors to adopt Agile methodologies according to their specific requirements. The research delivers actionable suggestions to leaders within the industry for advancing their Agile transformations, which strike a proper equilibrium between adaptable project development and adequate regulatory compliance in FinTech initiatives.

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Modern FinTech projects demand structured methods because they improve system operation while maintaining security features and regulatory compliance rules. Largely scaled financial technology companies find scalable solutions that adapt to their specific needs through Agile and SAFe methodology frameworks. Detailed research examines the planned deployment of these frameworks, their influence on project results, regulatory compliance requirements, and development speed. This study applies a mixe

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This study presents a review of Graphene-layered microwave devices. Because of its very frequency-dependent characteristics, exceptional graphene exhibits distinct behavior in the THz and microwave bands. The article discusses graphene's characteristics and uses in the microwave band, including cutting-edge uses in Internet of Things gadgets like biosensors and graphene ink printing. There is a discussion of current research on graphene-layered devices such as antennas, waveguides, and microwave filters. Graphene is still regarded as a promising material in Internet of Things and biosensor communication devices that operate in the microwave range because it can offer tunability, flexibility, and transparency, even though its carrier mobility and conductivity in the microwave band do not enable better results when compared to traditional materials.

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Graphene-layered, Microwave devices, Microwave filters, Biosensors

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The rapid evolution of financial technology (Fin-Tech) platforms has revolutionized the financial landscape but has simultaneously introduced significant cybersecurity challenges. Natural Language Processing (NLP)-based security tools have emerged as a promising solution to enhance security measures in these platforms. This study explores the effectiveness of NLP in identifying, mitigating, and preventing cyber threats, such as Fraudulent, Anomaly, and Unauthorized Access. This study explores the efficiency of NLP-based security tools in enhancing the security of fin-tech platforms by leveraging machine learning techniques such as Support Vector Machines (SVM), Random Forest (RF), and K-Nearest Neighbors (KNN). By analyzing patterns in textual data, these tools aim to detect vulnerabilities, predict threats, and mitigate risks in real-time. In this study, researchers used the financial data and textual data. The research evaluates the performance of these ML models, focusing on their accuracy (A_accuracy), precision (P_precision), recall (R_recall), and F1-score (?F1?_score). The experimental result shows that the proposed RF model shows the highest A_accuracy (98.83%), P_precision (97.70%), R_recall (98.64%), and ?F1?_score (98.17%).

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NLP, Financial technology (Fin-Tech), Machine Learning (ML), Cyber security

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Milk is such type of liquid food product which can be easily adulterated and is a very composite mixture. It is the normal mammary secretion derived from complete milking of healthy milch animal either addition there to or extraction there from. It is very valuable food which is easily digested and absorbed. It contains more than 100 nutrients which are present either in solution, suspension or emulsion in water, the most important is the casein, which is the major milk protein, lactose (which is a milk sugar), whey as well as mineral salt which are needed for the proper growth and maintenance for the human body.

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Milk adulteration, Adulterants, health hazards, Detection Method.

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Biofuel are advanced in a wide-scale for the purpose of accomplishing energy security and reducing green house gas effect. In this paper discuss on lignocellulosic biomass and potential to convert into chemical biofuel. Availability of lignocellulosic biomass in India and economical sustainability of biofuel. Also discuss the process used to convert biofuel in to biomass.

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Biofuel, Lignocellulostic biomass, second generation biorefinary

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Today, in the era of globalisation, business is presented with opportunities and faced with challenges. Technology and connectivity are the norms in the developed world. Those organizations, which are technologically updated and dynamic can only survive in this global competitive market. The most vital asset to every organization under stiff and dynamic competition is its human capital. In order to survive in the dynamic market strong emphasis must be laid on skilled human capital in order to be competitive and financially solvent. Training is considered as one of the important tool to develop knowledge and skill of employees. The present study will try to find out the various training programs adopted by the organization in private banking sectors and also provide a refresh insight of the significant role of training in Employee productivity.

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banking sector, employee training, employee productivity

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This study's objective is to explore the forefront of network evolution requires a profound grasp of the intricate web of computer network topologies and the forces propelling their transformation to meet the shifting requirements of upcoming network advancements comprehensive insights into the status and composition of network systems are imperative for navigating the evolving landscape of network technologies this research paper delves deeply into the exploration of computer networks shedding light on their present developmental stage encapsulating recent progress and underscoring the significance of network system frameworks the wisdom gleaned from this scrutiny is indispensable in steering the course of future computer network developments.

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Network evolution, Computer network topologies, Future network developments, Network systems, Developmental analysis, Network technologies, Evolution of computer networks, Network system frameworks, Future developments, Network advancements

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Andhra Pradesh being the second largest sericulture producer in the country. it is fostering towards obtaining first place in case of mulberry extension and cocoon production by implementing various necessary steps in sericulture farming sector. The Rythu Bharosa Kendras (RBKs), or Farmer Assurance Centres, are established by the Government of Andhra Pradesh to serve as comprehensive resource hubs for farmers at the Panchayat level. This initiative aims to enhance transparency and improve the quality of services available to the farming community, thereby facilitating smoother agricultural practices, reducing production costs, increasing yields, and ultimately boosting farmers' incomes. These centres provide a variety of services, including e-crop booking for crop insurance, timely delivery of agricultural inputs within 24-48 hours via kiosks, custom hiring of machinery, establishment of Agri-Input shops, Farmer Knowledge Centres, technical advisory teams, the YSR Rythu Bharosa program, Polambadi (Farmer Field Schools), CCRC cards, and D-krishi (seed distribution). This decentralization of agricultural services aims to bring support closer to farmers throughout Andhra Pradesh. It also helps the sericulture farmers to avail all the services offered sequentially with other crops. It provides scope for wider extension in sericulture sector. While it's still early to evaluate the quality of services offered for sericulture extension by RBKs and their impact on the farming community, this paper outlines potential opportunities, concerns, and recommendations to enhance the initiative's effectiveness in the future.

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Rythu bharosa kendra's, farmers, sericulture, kiosk, knowledge, facilitation centers, sustainable, agriculture, services.

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An Iris biometrics has gained a lot of attention as of late. It happened because this quantifiable trait ensures a high level of efficiency and accuracy. Recently, iris recognition algorithms have shown outstanding identifying performance. There has been a rise in the use of iris recognition systems as an authentication method due to the fact that an individual's iris is a perfect biometric candidate due to its rich texture. This article details the methods used by the researchers at various points of the iris image recognition system. Additionally, the procedures linked to each stage were examined by the researchers. Seven phases comprise the recognition system: iris image acquisition; iris image quality improvement during the preprocessing phase; segmentation phase involving the separation of an iris region by an image background; normalisation phase involving a rectangle shaping of a segmented iris region; feature extraction phase encompassing an extraction of iris region features; and finalisation phase encompassing feature extraction. The comparative results have shown the Convolutional Neural Network (CNN) with Gaussian filter (GF) model obtained 99.99% accuracy that is higher than other models. This research endeavours to examine and delineate the phases of existing iris recognition systems.

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Biometric Authentication, Human Iris Recognition, Preprocessing, Segmentation, Normalization, Feature Extraction, Classification, Deep Learning.

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In the digital era, ensuring network security has become paramount as both organizations and individuals confront increasingly sophisticated cyber threats. Staying ahead of these threats necessitates a deep understanding of the latest advancements in cybersecurity. This paper offers a comprehensive examination of recent trends in cybersecurity, encompassing emerging threats, advanced defense mechanisms, regulatory frameworks, and industry standards. The analysis provides valuable insights into the current landscape of network security, emphasizing critical areas requiring further exploration and research to foster a resilient and adaptable cybersecurity landscape.

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Cyber security, Vulnerabilities, Malicious attacks, Malware.

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Computer gaming graphics and animations are at the forefront of technological advancements in the entertainment industry. The development and implementation of these graphics rely heavily on various mathematical concepts and techniques. This research paper delves into the sophisticated mathematical frameworks that underpin the optimization of real-time computational techniques essential for interactive computer gaming and high-fidelity animation systems. By integrating advanced concepts from algebra, calculus, and discrete mathematics, the study aims to enhance rendering algorithms, physics engines, and artificial intelligence in gaming environments. The paper systematically explores the application of quaternions for 3D rotations, spline theory for smooth animations, and graph theory for efficient path finding and decision-making processes. Furthermore, it examines the implementation of partial differential equations in simulating realistic physical phenomena and the use of linear algebra in optimizing graphical transformations and lighting models. Through a series of case studies and computational experiments, this research demonstrates how these mathematical approaches can significantly improve performance, visual quality, and interactivity in modern computer games and animation, pushing the boundaries of what is currently achievable in digital entertainment and simulation industries.

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Computer Animations, Gaming, Mathematics, Visualizations, Transformations

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Bhabani Bhattacharya is undoubtedly one of India's most well-known English fiction writers. He is an author who has piqued the interest of a huge number of readers and academics both at home and abroad. His works include So Many Hungers!, A Goddess Named Gold, He Who Rides a Tiger, Music for Mohini, Shadow from Ladakh and A Dream in Hawaii, which have earned him enormous acclaim and a place among the classics of Indo English literature. His six novels all included a description of the normal post-World War II circumstances as a backdrop.

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Treatment of East and West in the Bhawani Bhattacharya's Shadow from Ladakh

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The National Programme for Organic Production (NPOP) has played a pivotal role in the promotion and regulation of organic farming in India. This review examines the program's background, key components, impact, and achievements, alongside the challenges and limitations it faces. A comparative analysis with international organic standards, supplemented by case studies and success stories, highlights the program's effectiveness and areas for improvement. The study concludes with recommendations for future directions to enhance the efficacy of NPOP, ensuring the sustainable growth of organic farming in India.

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Programme for Organic Production (NPOP), organic farming, certification, India, sustainable agriculture, government policy

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