This paper explores the usage of games to practice vocabulary in the teaching of English to young learner. Teaching vocabulary `through games was chosen as the focus area to enhance the interest of young learners to learn communication. Firstly, through the observation during course of my teaching practice at EFLU, I learned about usage of vocabulary and cultivate the interest in the mind of young learners through the games. The study was conducted with twenty-nine students in a junior college. According to my observation of how vocabulary is taught in colleges, it relies on drilling the vocabulary to get the students to produce the correct pronunciation of words. Other strategies such as implementing games are very occasionally used to teach vocabulary; however, they are only used for a limited to me. Using games is considered time consuming, so teachers prefer to use drilling as an immediate way of teaching and practicing vocabulary. In English class, students are encouraged to speak in English when they answer, and while they interact with their classmates. Translation is generally avoided, but it is sometimes used to clarify difficult linguistic concepts, and also to clarify meaning.

This work's primary goal was to formulate and assess an emulgel using extracts from Curcuma longa, Nigella sativa seeds, and aloevera while also examining the extract's microbiological activity and various characterizations. Curcuma longa is a member of the Zingiberaceae family. Turmeric, or Curcuma longa, is widely recognized. Curcuma longa comprises volatile oils and three primary curcuminoids: curcumin, demethoxycurcumin, and bisdemethoxycurcumin.Black cumin, or Nigella sativa Linn (Ranunculaceae), has a variety of pharmacological properties, including as anti-inflammatory, antibacterial, antifungal, and antihelmenthic properties.Succulent tropical plant Aloe barbadensis is a member of the Liliaceae family.Aloe vera gel is used to treat psoriasis by minimizing scaling and redness. It is used to create lotions and creams for topical use. In addition, aloe vera possesses anti-inflammatory, antioxidant, immunomodulatory, anti-fungal, and anti-tumor qualities. By raising collagen activity, it also facilitates wound healing and skin hydration. This helps to repair the detrimental effects of psoriatic skin.

Concrete is a principal building material used all over the globe. Concrete’s tensile strength is weak while its compressive strength is high. This necessitates the use of steel as a reinforcement material to make it strong in tension. –Steel is costly and easily corroded thereby leading to structure decay. Because of this, concrete can be replaced with bamboo because of their properties such as light weight, high strength, durable and easily renewable.-So that Bamboo replaces steel which was commonly used in construction industries for reinforcement purposes by traditional methods-The truth is that bamboo is an indigenous, affordable and plentiful resource.—Also It has necessary deflection and tensile strength—Bamboo reinforcement reduces the mid span deflections-Lastly performance of bamboo will be compared with that of steel so as to get the best result.

The Innovation of New Communication Technology - Aurora Guard Smart Watch epitomizes a ground breaking fusion of advanced communication and wearable technology. By harnessing the captivating patterns of the aurora borealis and aurora Australia, this smartwatch introduces a dynamic communication system with unparalleled security features. The use of aurora-based communication ensures a secure and globally connected experience, transcending the limitations of traditional networks. Key features include seamless connectivity with global coverage, enabling users to stay connected in remote or challenging environments. The smartwatch prioritizes health monitoring through real-time tracking of vital signs, sleep patterns, and physical activity, offering users a comprehensive wellness companion. Customizable watch faces, a dynamic display, and an energy-efficient design contribute to a unique and sustainable user experience. Implications for personal communication encompass heightened security, expanded connectivity in areas with limited network coverage, and reliability in emergency situations. The smartwatch's integration of communication and health features positions it as a transformative wearable device. As technology advances, the Aurora Guard Smart Watch serves as a catalyst for innovation, offering a glimpse into the future of seamlessly integrated, secure, and holistic wearable technology.

Due to its advantageous qualities, which include a high strength-to-weight ratio, light weight, high thermal property values, and resistance to corrosion, aluminium and its alloys are widely employed in a variety of sectors worldwide. On the other hand, some of the backgrounds are low part properties, including hardness and wear resistance. Advanced composite materials reinforced with one or more elements to create a distinctive combined effect are called Metal Matrix composite materials. This approach permits a greater degree of material design limit extension. In this current study, the main objective of this work was to evaluate physical and mechanical properties experimentally and numerically using finite element modelling (FEM). Iron nano particle and hydroxyapatite reinforced into aluminum 6061 alloy composites are fabricated simultaneously by adopting stir casting approach by changing weight percentages of filler powder from 0.0 wt.%, 1.00 wt.%, 1.5wt.% . On the opposite hand, fabrication of composite numerically was done through ANSYS Workbench 2020 R2. In result, void percentage of AA 6061 composites varied from 0.77 to 1.73 for 0 to 1.5 weight percent when filler was introduced and micro-hardness value raised from 13.9 HB to 24 HB with the increasing nano filler amount. Dry sliding wear tests were conducted for iron nano and hydroxyapatite filled alloy composites and there after implementing Taguchi approach at four distinct loads (30N – 60N), sliding speed ( 30 rpm – 60 rpm), Test run time duration (10-25 min) and filler powder weight percentages (0 wt.% - 1.5 wt.%) respectively using pin-on-disc machine. Finally, for finding some other characteristic properties mechanism of composite and for numerical approach the Finite Element Analysis was performed by using ANSYS 20.0 and various stresses such as maximum principal stresses, Von- Mises stresses, directional deflection, total deformation, and penetration, contact pressure surfaces, occurred throughout operating condition were evaluated.

This study explores the potential of various machine learning models in enhancing the security of banking applications by detecting and mitigating security threats. The comparative analysis of models such as ML based algorithms provides valuable insights into their effectiveness and suitability for real-world deployment. As the banking sector continues to face sophisticated cyber threats, the integration of machine learning models offers a promising avenue for strengthening security measures and safeguarding financial assets. This paper evaluates the effectiveness of various machine learning models in detecting security threats within banking applications. The models assessed include Random Forest, Decision Tree, K-Nearest Neighbours, AdaBoost, SGD Classifier, Extra Trees Classifier, and Gaussian Naive Bayes. Results demonstrate that Random Forest, SGD Classifier, Extra Trees Classifier, and Gaussian Naive Bayes achieve perfect accuracy, making them highly suitable for real-world deployment. Decision Tree, K-Nearest Neighbours, and AdaBoost also perform well, though slightly less accurately.

This paper provides a comprehensive review of the integration of machine learning (ML) techniques in the detection and prediction of infectious diseases, focusing on malaria and Covid-19. It evaluates the efficacy of various ML models such as k-NN, logistic regression, decision trees, random forests, gradient boosting, and support vector machines through rigorous accuracy assessments on training and test datasets. The study emphasizes the implementation of decision trees and fuzzy logic within MATLAB for real-time disease state forecasting in malaria cases. For Covid-19, the paper explores the application of data mining (DM) and ML in identifying patterns, risk factors, early detection, contact tracing, vaccine distribution strategies, and potential drug discoveries. It includes visual analyses of global Covid-19 cases and mortality rates, utilizing Holt-Winters' method for predictive modelling from June 2021 to June 2022. Overall, the insights underscore ML's pivotal role in revolutionizing disease management by enabling timely interventions and optimizing resource allocation. The findings contribute to advancing public health strategies, emphasizing the importance of innovative technological applications in mitigating the impact of infectious diseases on a global scale.

In the realm of data communication, the efficient utilization of energy resources is paramount for sustainable and prolonged operation of computational networks. This study delves into the intricate web of energy loss in data communication within a customized sensor-based computational network. Through rigorous analysis and innovative methodologies, the research identifies, quantifies, and comprehensively analyses the various facets of energy dissipation in this context. This study examines energy loss in data communication within a customized sensor-based computational network (CSCN). Using MATLAB simulations, we analysed network performance across different routing protocols. The results highlighted significant variations in packet transmission, latency, and throughput. Our proposed MMMREP algorithm, alongside DEEC, showed superior energy efficiency and network longevity. The initial stages exhibited stable energy levels, but energy dissipation increased after prolonged operation. Future research should focus on optimization algorithms, energy-efficient hardware, renewable energy integration, and the interplay between security and energy efficiency. Real-world applications and user-centric designs will further enhance the practical utility of CSCNs.

Delayed justice poses a significant challenge within the Indian legal system, particularly pronounced in Jharkhand. This state grapples with unique socio-economic and cultural factors that compound existing systemic issues. High rates of land disputes, tribal conflicts, and Naxalite activities further burden an already overwhelmed judiciary. Jharkhand's courts are plagued by substantial case backlogs, exacerbated by a shortage of judges and inadequate infrastructure, which impedes timely case resolution. Land disputes, particularly involving marginalized tribal communities, often lead to protracted legal battles due to complexities in navigating the legal process. To address these challenges, targeted reforms are essential. Increasing the number of judges and establishing specialized courts dedicated to handling specific case types, such as land disputes and tribal matters, could alleviate backlog pressures. Additionally, enhancing legal education and awareness programs tailored to the diverse needs of Jharkhand's population would empower individuals to access justice more effectively. Embracing technological advancements to digitize court procedures and facilitate virtual hearings could significantly enhance efficiency, particularly in remote and underserved regions of the state. Furthermore, promoting alternative dispute resolution mechanisms like mediation and arbitration could expedite case resolutions and reduce the burden on conventional courts.

The Eco-Power Generator for Tractors is a groundbreaking solution aimed at reducing the carbon footprint of agriculture. By integrating renewable energy sources like solar panels and wind turbines, along with advanced lithium-ion battery storage, these tractors become self-sufficient, reducing reliance on fossil fuels. Regenerative braking and sophisticated power management further enhance energy efficiency. This approach not only lowers greenhouse gas emissions but also fosters operational resilience and cost savings. Through a modular design, the Eco-Power Generator can be retrofitted onto various tractor models, paving the way for more sustainable farming practices and a greener agricultural sector. The review examines current technologies, practical implementations, and the broader implications for the agricultural industry.

The application of Artificial Intelligence in project management embodies the possibility of revolutionizing efficiency, decision making and predictive analyzing functions at all stages of the project. This conceptual research paper aims at investigating the prospects and risks of AI instruments in project management using both theoretical literature review and case study analysis. The concern of the study is to get a clearer picture where AI is being used in project management and as a result, get to understand the gains and pains of business.

Salinity poses a significant challenge to coriander (Coriandrum sativum L.) cultivation, affecting its growth, yield, and biochemical properties. This study investigates the impact of salinity on coriander, examining how salt stress influences its morphological and physiological characteristics. Through comprehensive analysis, the research aims to identify effective mitigation strategies to enhance coriander's resilience to salinity. Results indicate that while salinity adversely affects coriander growth and productivity, certain interventions, such as biostimulants and optimized irrigation, can significantly reduce the negative impacts. These studies provide valuable insights for sustainable coriander cultivation in saline environments.

Soil salinity, characterized by high concentrations of soluble salts, poses a significant challenge to agriculture by disrupting essential plant processes. Coriandrum sativum, or coriander, is particularly vulnerable to saline conditions, which adversely affect its growth, development, and quality. Salinity stress impairs water uptake and nutrient absorption, leading to reduced germination rates, stunted growth, and decreased yield. Physiologically, it causes lower chlorophyll content and diminished photosynthetic efficiency, further compromising plant health. Additionally, high soil salinity disrupts the uptake of essential nutrients, resulting in deficiencies that impact seed development and reduce essential oil production. This reduction in essential oils affects coriander's flavor and aroma, diminishing its culinary and medicinal value. Addressing soil salinity involves exploring plant tolerance mechanisms and implementing effective soil management practices. Such strategies are crucial for improving coriander cultivation in saline-affected areas, enhancing both crop yield and quality, and ensuring its viability as a valuable agricultural product.

Introduction: Parenting style significantly influences children's emotional development, shaping their emotional intelligence, regulation, and overall mental health. Authoritative parenting, characterized by warmth, responsiveness, and clear boundaries, fosters high self-esteem, emotional resilience, and social competence in children. In contrast, authoritarian parenting, marked by high demands and low responsiveness, often leads to anxiety, lower self-esteem, and difficulties in emotional regulation. Permissive parenting, which is indulgent with few rules, can result in poor self-discipline and emotional instability. Neglectful parenting, characterized by a lack of involvement and emotional support, is associated with the most adverse outcomes, including attachment issues, emotional insecurity, and behavioral problems. These varied impacts highlight the crucial role of balanced, supportive, and structured parenting in promoting optimal emotional development in children.

The cotton textile industry in modern India (1813-1950) underwent significant evolution, from ancient craftsmanship to colonial exploitation and post-independence resurgence. Colonial policies led to British-controlled mills, sparking later efforts for independence. Post-independence, the government prioritized industrialization, fostering the establishment of modern textile mills and indigenous entrepreneurship. Despite challenges, including environmental sustainability and global market dynamics, the industry remains pivotal to India's economic growth, cultural heritage, and rural livelihoods. Understanding its historical trajectory sheds light on India's industrial journey and aspirations for a brighter future.

The introduction of modern education in Jharkhand from 1850 to 2000 AD marked a transformative period for the Adiwasi society, characterized by colonial imperatives, missionary influences, and post-independence initiatives. Colonial education, driven by administrative needs and missionary endeavors, initially neglected Adiwasi communities but later facilitated access, albeit with cultural assimilation. Post-independence, government efforts aimed to empower marginalized groups, leading to shifts in livelihoods, socio-political awareness, and emergence of Adiwasi leaders. However, challenges including cultural conflicts and educational inequities persisted. Despite complexities, education became integral to Adiwasi identity, enabling socio-economic participation and advocating for social justice. Understanding this historical context illuminates the nuanced impact of modern education on Adiwasi communities in Jharkhand.

The game of cricket requires considerable amount of physical fitness and mastery of skills. A key element of fast bowling is ball-release speed or peak bowling speed (V-peak). Ball-release speed in fast bowlers is influenced by various anthropometric factors. Certain anthropometric measurements are advantageous for a good performance in fast bowling in cricket like longer the arm length more the leverage which helps the bowler to bowl fast. In this study, the researcher has tried to find out the predictive anthropometric variables which contribute towards fast bowling in cricket. To achieve the purpose of the study, 45 males fast bollower of inter-collegiate cricket teams in various colleges affiliated to University of Lucknow, Lucknow are randomly selected as subjects. 18 anthropometric variables namely: The height, weight, foreleg length, thigh length, leg length, upper arm length, forearm length, Ponderal Index, Crural Ratio, arm length, hand length, upper arm girth, forearm girth, wrist circumference, shoulder width, chest girth, thigh girth and calf girth were selected and their individual and multiple correlation with Velocity of the ball were computed by using. Pearson's Product Moment Method for Coefficient of Correlation and Multiple Correlation were applied.