Volume 11 | Issue 6 |

 Abstract

Introduction:- Volleyball has become one of the most widely played participant sports in the world. In Volleyball balance, agility and lower limb explosive strength plays important role. In the absence of optimal balance, sport performance can be negatively influenced in repetitive jumping, sprint and in activities involving agility. For this reason , balance and jumping should be considered together in athletes. The purpose of proprioceptive training is to advance the complex activity of the neuromuscular system. Effect of proprioceptive training on sports performance is minimally studied so it is importance to check where Proprioceptive exercise training can improve the balance, agility and lower limb explosive strength in amateur volleyball players. Method:- 32 male amateur volleyball players in age group of 18-25 years were included and divided into two groups. Players having lower limb injury, Musculoskeletal problems and any medical condition that would impair their playing activities were excluded. Intervention group (Group A) followed Proprioceptive training programme for 5 weeks and control group (Group B) does not perform any exercise they continue to do their daily activities. Proprioceptive exercise training consist of five weeks ( 3 days / week , 10 reps / exercise) . After 5 weeks star excursion balance test, T- test of agility, vertical jump test was performed again and paired t -test and Unpaired t-test is performed to compare results in intragroup and intergroup respectively. Results :- Both groups improved significantly at the end of 5th week but intervention group showed highly significant difference for balance , agility and lower limb explosive strength as compared to Control group (p<0.05). Conclusion:- Proprioceptive exercise training is effective in improving dynamic balance, agility and lower limb explosive strength in amateur volleyball players.

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Balance, Agility, Lower limb explosive strength , Proprioception

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Task scheduling is a fundamental problem in computer science that involves allocating computational resources to a set of tasks in an efficient and timely manner. The optimization of task scheduling is crucial in improving system performance, reducing execution time, and maximizing resource utilization. Particle Swarm Optimization (PSO) is a metaheuristic algorithm inspired by the collective behavior of bird flocking or fish schooling. This abstract presents a novel approach to task scheduling using Particle Swarm Optimization. The proposed method aims to find an optimal scheduling solution by leveraging the inherent parallelism and exploration capabilities of PSO. The problem is formulated as a multi-objective optimization task, considering objectives such as minimizing makespan, load balancing, and energy consumption. In the proposed approach, a population of particles represents potential task schedules, where each particle's position corresponds to a specific scheduling solution. The particles collaborate by sharing information about their best-known positions, called personal bests, and the overall best-known position, called the global best. Through a series of iterations, particles update their positions based on their own experience and the collective knowledge of the swarm. To guide the search process, a fitness function is defined that evaluates the quality of a scheduling solution based on the specified objectives. The fitness function considers factors such as task dependencies, resource constraints, and system characteristics. By iteratively evaluating and updating the fitness values, the PSO algorithm gradually converges towards an optimal or near-optimal scheduling solution. Experimental results on benchmark task scheduling problems demonstrate the effectiveness of the proposed PSO-based approach. It achieves significant improvements in terms of makespan reduction, load balancing, and energy efficiency compared to traditional scheduling algorithms. The approach also exhibits robustness and scalability, allowing it to handle larger problem instances efficiently.

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Cloud Computing, Task Scheduling, Particle Swarm Optimization(PSO), Best-Fit(BF), Global-Fit, Cloud Sim Tool, Virtual Machines.

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Administration of drugs through skin received great attention through the last decade. Transdermal drug delivery systems are dosage forms designed to deliver a therapeutically effective amount of drug across a patient's skin. Hence this study aims to formulate an anti-inflammatory transdermal patch using different polymers such as ethyl cellulose, hydroxy propyl methylcellulose with plasticizers poly-ethyl glycol 400. Patches were prepared through solvent casting method. The backing membrane was a non-permeable aluminium foil laminated and evaluated for thickness, physical appearance, folding endurance, moisture content, moisture uptake, weight uniformity, drug content determination, skin irritation studies. Drug content uniformity effects on inflammation and in-vitro release study, patches exhibited controlled release over more than 2 hrs. It was concluded from the research that, a herbal extract of the plant with HPMC showed moderate anti-inflammatory action and controlled drug release, thus can be selected for the development of transdermal patches for effective uses. The moisture content of batch B1 was measured and found to be 3.70%. The drug content of batch B1 was measured and found to be 84.79%.

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Transdermal Patches, Inflammation, C. esculenta, HPMC, Drug Content Uniformity.

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The simultaneous impact of globalization, the spread of English and technological development have transformed our teaching and learning English as a lingua franca in a new way (Warschauer, 2004). As a result, both English and ICT have become essential literacy skills for a growing number of non-native speakers of English to ensure full participation in the information society. In the digital world, where everything is under control of the Internet and Brand-New Technological Inventions, it is difficult to undermine their contribution to foreign language teaching. In teaching and learning a language like English, we have a lot to choose from the world of technology. Artificial Intelligence and Machine Learning are rapidly changing our world. Whether it's teaching new languages in a personalized way or translating speech and text in real-time, AI-powered language tools from Duolingo to Skype are bridging social and cultural divides in our workplaces, classrooms and everyday lives. Digital translation services are not "perfect," admits Microsoft Education Leader Mark Sparvell, but "they offer a means of understanding" that might not otherwise be possible. This rapid rising and development of information technology has offered a better pattern to explore the new teaching model. As a result, technology plays a very prominent role in English teaching. Using multimedia to create a context to teach English has its unique advantages. This paper tries to analyze the necessity of multimedia technology to language teaching and the challenges to be encountered by using these technologies. It discusses different approaches and techniques which can assist students to improve their learning skills by using technology and to upgrade the technical skills and knowledge of teachers as well.

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ELT, Lingua franca, Global Village, Internet, Multimedia Technology, Creativity, E-mailing, Presentation, Graphics, Animation, Gamification, Pronunciation, Application, Artificial Intelligence.

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Teaching is a process by which one interacts with another person to influence the learning of that person. It is the interplay between the teacher and the learners. As a valuable and practical art, teaching calls for intuition, creativity, improvisation, and expressiveness. Though many teaching methods and techniques are associated with integrated Social Science, there is no single mode of teaching which fits all the learning situations. A Social Science teacher must be abreast of the innovations in teaching methods. To be effective, a teacher of Social Science has to be a source of information, a guide, an organizer of learning opportunities, and a person who can stimulate any environment for effective learning using the following teaching modes, among others, available to Social Science teachers.

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Discussion Method, Lecture Method, Observation Method, Source Method, Story Telling Method, Laboratory Method, Field-Trips, Deductive and Inductive Method, Dramatization Method, and Question and Answer Method

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Does mood can cause inability to detect deception? Are the different states of mood can influence our tendency to believe or disbelieve another person? Based on past and recent work on deceptive communication mood and social cognition, in our research we predicted and found that negative mood increased and positive mood decreased our skepticism ability to detect deception. After inducing various mood conditions by showing positive, neutral or negative films, participants were instructed to view deceptive or truthful interviews with of actors who denied about committing a theft. The participants were told to make Judgments of the target person in video is guilty of the theft and choose "guilty" or "not guilty if they believe the person is not lying take their denial as truth as "not guilty". As predicted, negative mood condition increased judges' skepticism towards the targets, on the other hand judges in positive mood condition were found to be more trusting and gullible. The importance of findings in everyday judgments of trust and the detection of deception are mentioned, and their practical implications are discussed.

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Deception Detection, Social cognition, mood, Skepticism, Gullibility.

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India is one of the most promising and developing marketplaces in the world. Retailing in India is one of the pillars of its economy and accounts 10 percent of the country's GDP and around 8% of the employment.. The Indian retail industry is ranked as one of the biggest retail market in the whole world. It has been the second most attractive market for investment after Vietnam. The Indian retail trading sector attracted US$ 4.29 billion FDI between 2000 to 2022. Therefore, India has emerged as the hottest retail destination. The growth of Indian organized retail marked is mainly due to change in the consumer behaviour. This change has come in the consumer due to increased income, changing life style and pattern demography which are favorable. Keeping in this mind, this paper provides detailed information about the growth of retailing industry in India and opportunities of the retail stores and retail format in India and also highlights the challenges faced by the retail industry in near future.

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ORGANISED RETAILING AND UN-ORGANISED RETAILING, GROWTH, CHALLEN

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Our skin is one of the important parts of our body that covers and protects our internal parts. While doing so our skin can get affected by various allergies, irritants or diseases which can lead to a skin condition. Skin disease is one of the conditions which affects our skin and cause various kind of skin related problems. We have come across various kind of skin diseases which involves a wide range of varieties while some of them can leave a permanent mark on our skin and some don't. If it's not cured early skin diseases can also cause a social impact on a patient. With the various advancement in the field of image processing and detection techniques these diseases can be detected early and cured. In this paper we have explored number of such papers related to various kind of diseases that uses machine learning and deep learning models to detect them.

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Skin diseases, image processing, deep learning, CNN, AlexNet, Monkeypox, Acne

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The internet of things (IoT) has significantly changed how we work, live, and interact with our surroundings. The growth of connected devices has made cybersecurity a top priority for people, businesses, and governments. This article presents an overview of cybersecurity in the Internet of Things (IoT) era while examining the risks, difficulties, and defence mechanisms for IoT networks and devices. In the study, possible dangers and threats to IoT security are discussed, including IoT device vulnerabilities, IoT device lack of standardisation, and the problem of security patching and upgrades. Additionally, the article assesses the current level of IoT security, considering current security standards and protocols, and it covers the difficulties in putting in place practical security measures. The relevance of encryption and access control, the function of blockchain technology, and best practises for securing IoT devices and networks are explored as IoT security strategies. The article offers suggestions for future paths in IoT security research and development and finishes with case studies and examples of effective IoT security implementations.

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Internet of Things (IoT)

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The present study deals with the relationship between Emotional intelligence & social intelligence among B.Ed., teacher trainees studying in aided and unaided institutions. A total of 500 teacher trainees (250 male and 250 female) was randomly selected from 9 B.Ed colleges of Mandya District in Karnataka. They were administered social intelligence scale developed by Chadda and Ganeshan (2004), which measures social intelligence of the teacher trainees in 8 dimensions- patience, co-cooperativeness, confidence, sensitivity, recognition of social environment, tactfulness, sense of humour, and memory. Two- way ANOVA was employed to find out the difference between teacher trainees studying in aided and unaided institutes with their undergraduate degree/gender as second variable. Results revealed that in components patience, cooperativeness, confidence, recognition of social environment, memory and in total social intelligence, teacher trainees studying in unaided institutions had higher social intelligence. Except for memory, for rest of the components and total intelligence, teacher trainees with B.Sc background had higher intelligence. Gender-wise comparison revealed that female teacher trainees were more socially intelligent than male teacher trainees except for sense of humour. Further, strategies for improving social intelligence among teacher trainees have been delineated. They were administered Emotional Intelligence scale developed by Ankul hyde,Sanjoy lethe, Upindardhar. This measures Emotional Intelligence of the teacher trainees in 10 dimensions- Self Awareness, Empathy, Self Motivation, Emotional Stability, Managing Relations, Integrity, Self -development, Value orientation, Commitment and Altruistic behaviour. Two- way ANOVA was employed to find out the difference between teacher trainees studying in aided and unaided institutes with their undergraduate degree/gender as second variable. Results revealed that On the whole in majority of the components of emotional intelligence and in total emotional intelligence scores teacher trainees studying in unaided institutions had possessed higher intelligence. Teacher trainees with science background possessed higher emotional intelligence than teacher trainees with arts background. Female teacher trainees were more emotionally intelligent than male teacher trainees. Finally, teacher trainees from science background and studying in unaided colleges had maximum emotional intelligence scores. Further, strategies for improving emotional intelligence among teacher trainees have been delineated.

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Social intelligence, Emotional intelligence, B.Ed trainees, aided and unaided institutes .................

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