Volume 11 | Issue 5

 Abstract

Most of the companies had adopted work from home option due to the pandemic situation. Post pandemic employee wellbeing is the most persistent topic to all employees & employers. Employee wellbeing is a combination of work life balance & employee engagement. Employee wellbeing is a critical component of a Healthy working environment and organization. Wellbeing is referred as mental and physical health, as well as more complex things such as satisfaction & engagement level. It is the duty of the employers to provide workers with the necessary support and care for their physical & mental health. Due to pandemic situation most of the employees had an option to work from home. But post pandemic most companies are forcing employees to go to office and work. Here is where the employee wellbeing plays a vital role as the employees are finding it really hard to get back to that office culture post pandemic. So the employees have a feel that their work life balance is disturbed and employees are trying to find new techniques of employee engagement. Hence this research paper focuses on"A Study on Employee Well Being Strategies Adopted by Companies Post Pandemic" The main objective of this research paper is to 1) To understand the importance of wellbeing. 2) To know employee well being strategies adopted by companies post pandemic3) To understand the importance of employee engagement & work life balance

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Keywords: work life balance, employee engagement, strategies, employee wellbeing.

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The studies considered in this review of recent research on the relationship between empathy, self-efficacy and academic achievement can be divided into two stages: (1) studies in which the focus was related to the association between empathy and academic achievement, (2) studies in which the focus was related to the association between self-efficacy and academic achievement. This paper incorporates forty- two studies pertinent to the association between empathy, self- efficacy and academic achievement. Out of forty-two research studies, nine of them are from India and thirty-three are from abroad. A critical analysis of the studies reviewed has been presented as well taking into account four dimensions i.e. variables, design, participants and findings. From the studies reviewed, it was found that the recent existing literature offers a mixed result on the relationship between empathy, self-efficacy and academic achievement. Some studies depicted a significant relationship among the variables and some did not. There is a lack of consistent result on the relationship between these variables. It is argued that, in future research, more attention needs to be paid to understand the relationship between these variables.

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Empathy, Self-efficacy, Academic achievement

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Intellectual disabilities of all kinds have been documented throughout history. Society has been often unkind to people with intellectual disability and sentenced them to prison or even death. However, present societies are working toward desegregation and support of intellectually disabled individuals. Intellectual disability is a generalized disorder characterized by impaired cognitive functioning. This disorder is rooted in childhood. In this study, the objectives were to study the effectiveness of life skills training on the social maturity of children with mild intellectual disability with respect to their age, to study the effectiveness of life skills training on the social maturity of children domain wise. The results are showing that pretest mild intellectual disabled children were not having IQ as high as it is posttest, which illustrates the training of children and developing their life skills.

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Mild, IQ, Skills, Training, Disabled, Intellectual, Impaired

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Abstract Maternal and child health is a crucial component of the healthcare system in any country, and providing quality nursing care during childbirth is an essential part of ensuring good health outcomes for both the mother and the baby. This study aims to explore the effects of implementing holistic nursing interventions on the quality of nursing care in the labor room of a selected hospital in Kerala. The study design used was quasi-experimental pretest-posttest design. The study was conducted in the labour room of Baby memorial hospital in Kerala. Total enumeration sampling was used for subject selection and the study included all registered nurses (24 nurses) who were working in the labour room of Baby memorial hospital. Data collected using a structured questionnaire to assess the knowledge about holistic nursing interventions and an observation checklist to assess the quality care in labour. The result indicated that there was a significant difference in the mean knowledge score (t=15.000, p< 0.001) in the pretest and post test among nurses in labour room and also there was significant difference in quality care in labour room (t=77.097, p< 0.001) before and after implementation of HNI in labour room.

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Key words Holistic nursing interventions, Quality nursing care, Labour

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Abstract: Ophio-faunal diversity and composition in the Ramnagar area of Purba Medinipur District in West Bengal were studied through a survey from 1.4.2022 to 31.3.2023. A total of 4887 snakes (19 species) had been reported to have been observed by local people and staff of the forest department. Rat snakes were mostly observed, and king cobras were the least observed snakes. The diversity index of snake fauna was 2.6, species richness was 2.12, and species evenness was 0.88.

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Ophio-fauna Diversity, Species richness, Evenness, IUCN

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Agriculture is a major industry in many nations, including India. Because farm output accounts for a large portion of the Indian financial system, careful examination of Critical challenges with food production exist. Crop infection nomenclature and identification now hold more scientific and financial weight in the agricultural industry. It may be highly expensive to keep track of plant ailments in an agricultural area with the assistance of professionals. A technique or system that can automatically diagnose is required. diseases because it has the potential to revolutionize monitoring. Massive crop fields and plant leaflets can be taken. Cotton leaf disease diagnosis is critical for preventing a catastrophic outbreak. Immediately following disease recognition, the purpose of this study is to provide guidance for the creation of an application that recognizes cotton plant leaf diseases. To use this, the user must first submit a photograph of a cotton leaf, and then use image processing to obtain a digitized color image of a damaged leaf, which may then be processed further by applying the mobilenet algorithm to anticipate the true root cause of the cotton leaf disease.

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Deep learning

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Breast cancer is a prevalent cancer type among women worldwide. Medical imaging techniques, such as X-ray mammography, magnetic resonance imaging (MRI), and ultrasound, have their limitations. The objective of this study was to develop a new method to detect the presence of malignant tumors using a microstrip patch antenna designed in the ISM frequency range, along with two types of 3D breast phantoms. The study aimed to identify cancerous tumors in the breast phantom by analyzing the variation of S11 parameters. The efficiency and reflection parameters were evaluated. This technique is advantageous because it uses microwaves, which are non-ionizing and do not harm biological tissues. By detecting changes in the reflection coefficient and observing higher S11 values in the presence of a tumor, this method can detect breast tumors effectively.

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tumor; microstrip patch antenna; S11 paramaeters ;

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The sun's radiation, which generates electricity, is referred to as solar energy. Solar energy is a vast, abundant, inexpensive, and environmentally friendly source of renewable energy. Because of these characteristics, the world is currently researching and discovering the most cost-effective way to harness this energy, and the solar tracking system is the result of that search. Solar panels were developed to generate this energy by absorbing sun rays and converting them into electricity or heat. This report provides an overview of solar PV cells and the materials required to construct them. There's also a discussion of the various types of solar PV systems, solar dirt cleaning and solar tracking systems. But mostly it focuses on the design and performance analysis of various dual axis tracking solar systems that have recently been proposed.

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Solar Panel Technology

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Obesity is one of the Santarapanajanya Vyadhi, originated as a result of deteriorated life style which includes sedentary daily routine and junk food habits. it occurs when the consumption of calories becomes more than its expenditure. it serves as an etiological factor for many diseases. it has reached to the epidemic proportion, affecting majority of the urban population. obesity can be estimated by various scales among which body mass index (BMI) and skin fold measurements are most common. despite the fact that man has created sophisticated machines, medical technology, and powerful medicines, he still lacks proper health. in an effort to succeed people are adopting a poor lifestyle, increasing the risk factors for disease and stress in their lives by indulging in more worldly pleasures and luxury. this is the main cause of the current rise in lifestyle disorders. whereas the primary and underlying cause of many other lifestyle disorders is obesity. in ayurvedic literature, there is a detailed description of obesity by the name of Sthaulya, but the material is dispersed and there are conflicting opinions from various Acharya. Ayurveda treats the condition holistically by addressing Diet, Lifestyle, Medication and Sodhanakarma. as a result, the current study includes a detailed review of Sthaulya with the goal of illuminating the various management strategies for Sthaulya (obesity).1

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Sthaulya, Santarapanajanya Vyadhi Obesity & Lifestyle Disorders.

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Social concern is a conventional very close flourishing issue that lives on a lack of predicament and. In its mildest arrangement, it could present as transient social disquiet, happening thinking about normal social-evaluative conditions, while its more serious advancement is portrayed by pummeling, certain apprehension and revolution. Critical clinical issues can influence various pieces of students' lives, diminishing their own fulfillment, informative achievement, ensured flourishing, and satisfaction with the school getting it, and unreasonably affecting relationship with friends and family. These issues can comparatively have critical length ideas for students, affecting their future work, gaining potential, and for the most part thriving. When gone up against with an endeavor, strain toward dissatisfaction prompts serious disquiet and can make individuals stop or over-plan or avoid the endeavor not set in stone to hinder impressions of shame.

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IMPACT OF EXAM FAILURE ON THE MENTAL HEALTH OF STUDENTS

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At first, blockchain was solely utilised as the basis for cryptocurrencies, but as time goes on, we are witnessing the adoption of this brand-new, rising technology across a range of businesses. Blockchain is anticipated to be used by the majority of technology as an effective method of conducting online transactions in the future. One application for blockchain technology is in crowdfunding sites. The biggest problem with the current global crowdfunding industry is that campaigns are not regulated and some of them have proven to be fake. Additionally, some projects have been considerably delayed in their completion. By integrating Smart contracts into the crowdfunding platform, enabling the contracts to be fully automated, eliminating fraud, and other concerns, this project aims to address them.

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Blockchain, crowdfunding, Ethereum; smart contracts, metamask.

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The project mainly focuses on measuring peel strength of adhesive tapes. Peel strength is average force required to separate two bonded materials from one another. It is properly applicable to various industries such as aerospace, automotive, adhesives, packaging, bio-materials, microelectronics, etc. Peel test data is used to determine the quality of the adhesive joint. Peel strength is very important factor for any type of adhesive as it plays very important role for the selection of adhesive tape and as per the requirement parameter.

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measuring peel strength of adhesive tapes

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Soil analysis is a valuable tool for your operation because it identifies the inputs needed for efficient and economical production. A proper soil test helps ensure that enough fertilizer is being applied to meet crop needs while using nutrients already present in the soil. A series of different chemical processes determine the amount of plant nutrients and the chemical, physical and biological properties or "soil health" of the soil, which are important for plant nutrition. Taking soil samples, analyzing the samples in the laboratory, issuing fertilizer recommendations and interpreting the results is a very time-consuming process for farmers. Therefore, we have developed a soil analysis system. I have two data sets, one of which is an image of a different soil 1. Red soil 2. Black soil 3. Hill soil 4. Desert soil is a different plant. The model can suggest soil types and suggest suitable plants depending on the soil type. Use CNN (Convolutional Neural Network) algorithm to train the models and find the results. The final application is a web browser that loads the clay image. The app predicts the soil type and, depending on the soil type, it also predicts the suitable crop for the soil.

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(CNN)Convolutional Neural Network, Crop Suggestion, Soil Classification, Soil Testing, Soil Types.

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Recognizing human activities is a crucial yet difficult study area in the field of computer vision. We suggest context features in this work together with a machine learning model to identify the specific subject activity in the image. To enhance the performance of recognition, we use the dataset from various sources. To provide a high-level representation of human activity recognition based on an image collection, we develop a deep neural network structure. Recognizing human activity necessitates forecasting a person's behaviour using image-based information. The photos are divided into recognized activities. The goal is to forecast human activity using machine learning techniques with the highest degree of accuracy. The CNN Algorithm can be used to categorize the photos. To choose the best architecture, more than two architectures were compared. Finally, the model can be deployed in Django framework.

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Image Classification, CNN, neural nework,

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Brain tumors have recently emerged as one of the most critical issues for individuals suffering from severe headaches. However, most people are concerned that their headache is the result of a serious problem, such as a brain tumor, especially if they experience severe pain on a regular basis. In general, practically all brain tumors do not induce headaches since the brain has the ability to modulate discomfort. Some tumor cause more frequent headaches if the patient's brain contains a large tumor that puts pressure on nerves. A brain tumor is a sort of abnormal cell that develops in the human brain and is always classified as benign or malignant. If the tumor is detected in its early stages and therapy is initiated, the quality of life and life spam may improve. There is currently a high need for brain tumor diagnosis using various machine learning and deep learning techniques. With the advancement of artificial intelligence, deep learning models are being used to diagnose brain tumors using magnetic resonance imaging pictures. Magnetic resonance imaging (MRI) is a sort of scanning procedure that produces detailed images of the inner body by using powerful magnetic fields and radio waves. Deep learning methods such as convolutional neural network (CNN) models and VGG-16 architecture (developed from scratch) are used in this study to locate tumor regions in scanned brain pictures. We looked at brain MRI scans from 253 patients, 155 of which were tumors and 98 of whom were not. The research compares the outputs of the CNN model and the VGG-16 architecture used.

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Brain Tumors, Magnetic Resonance Imaging, VGG-16, Convolutional Neural Network (CNN) Model, Deep Learning Model, Abnormal Cell

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In earlier days, the consumer or the retailer could not buy or sell the commodities directly from the manufacturer. There have always been some middlemen whose involvement led to increase in transactions and the product price, which intern would help them in making enormous profits leaving the retailers with very marginal profits and the consumers with the least. The e-commerce platform is playing a very important role in today's Trade and Business. There are many social enterprises connecting manufacturers and consumers which help in providing qualitative and quantitative products to consumers and ensure sustainability and fair income to manufacturers. The aim of this proposed project is to build and develop a reliable website for an Enterprise with the vision of changing the landscape of business practices in our country as per the current e-commerce theories and standards, develop effective and well-designed web pages with robust data storage. This proposed website will help consumers/retailers buy or sell products online which will intern help manufacturers buy or sell their products online without the involvement of middlemen. The speciality of the website will be that even buyers will be able to view the analytic of the sales in a graphical format so that they can know the most selling items. The buyers will be able to buy the product in bulk so they get the product at the best price. This way both consumers and manufacturers get fair prices throughout the year irrespective of market fluctuation and consumers get to experience transparency throughout the processes.

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--middlemen, robust data storage, graphical format, bulk

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The main objectives of this study are to compare the growth of Milch animals and Milk Production in Uttar Pradesh and Lucknow District because Uttar Pradesh are the milk surplus states in India and Lucknow is one of the top district on the basis of milk procurement in Uttar Pradesh in 2017-18. Lucknow Plant with capacity of 3 lakh litre production that has expected cost Rs. 117.43 crore in which milk manufactured products is- packed milk powder, Paneer, Yogurt, Ghee and Khoya. Hence, Uttar Pradesh has considerable potential for generating additional employment through milk production. Study shows that the growth of milch animals has been statistically Change in Uttar Pradesh with 2% while the growth of milch animals has not been statistically Change in Lucknow District. On the other side, the growth of Milk Production has been statistically Change in UP with 4.3% as same as in Lucknow district.

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Keywords- Dairy Farming, Milk Production, Milch Animals, Growth comparison, Lucknow, Uttar Pradesh, etc.

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In this study we have investigated both the discipline of pure mathematics and its application to the solution of significant mathematical problems. In mathematics, we frequently utilise apparatus designed for multiple purposes. Contemporary algebra refers to the study of groups as group theory. In this context, a group is a device that satisfies a set of axioms by joining together to satisfy a fixed set of axioms and is made up of a fixed set of devices and binary characteristics that can be used in units. This requires that the Groups be shut down as part of the procedure, that it adheres to the merger rule, and that it consists of an inverted proprietary object. When a set also satisfies the rule of exchange, it is known as an abelian or versatile group. This is the case because the set conforms to the law of exchange. An abelian group is a collection of subscript numbers in which the detail equals zero and the alternative may be of either high or low argument variety quality. Groups play a crucial role in modern algebra; their fundamental structure can be observed in the most radical mathematical situations. In geometry, the concept of groups can be observed; these groups characterise activities that occur in conjunction with measurements and particular transformations. The group concept can be applied to disciplines such as physics, chemistry, and computer science.

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A SURVEY ARTICLE ON THE CHALLENGES AND DISCOVERIES MADE IN THE STUDY OF GROUP THEORY

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THE IMMEDIATE EFFECT OF FOAM ROLLING IN PARASPINAL MUSCLE SPASM AND PAIN IN UNDERGRADUATE PHYSIOTHERAPY STUDENTS WITH GENERALIZED MECHANICAL LOW BACK PAIN.

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THE IMMEDIATE EFFECT OF FOAM ROLLING IN PARASPINAL MUSCLE SPASM AND PAIN IN UNDERGRADUATE PHYSIOTHERAPY STUDENTS WITH GENERALIZED MECHANICAL LOW BACK PAIN.

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Online exam cheating has become a significant challenge for academic institutions worldwide due to the ease of access to online resources and the difficulty in monitoring students remotely. The existing systems for detecting online exam cheating are limited to simple rules-based systems that can only identify a small number of dishonest behaviors. In this essay, we suggest a Deep Learning-based Online Exam Cheating Detection System using Behavioral Modeling. Deep learning algorithms and a camera are used by the system to monitor the behavior of students during online exams. The deep learning algorithm is trained to classify normal and abnormal behavior based on the features detected by the camera. To evaluate the proposed system, we conducted experiments on a dataset of online exam scenarios that included both normal and abnormal behavior. The results of our experiments demonstrate that the proposed system can accurately detect cheating behavior in online exams with a high degree of accuracy. Our proposed system has several advantages over existing systems, including the ability to detect a wider range of cheating behaviors, high accuracy, and low instances of false positives. The proposed system can be used to enhance the security and integrity of online exams and can help academic institutions to maintain the quality of their assessment process.

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Online exam cheating, Deep Learning, Behavioral Modeling, Detection System, Camera, Monitoring, Normal behavior, Abnormal behavior, Accuracy, False positives, Security, Integrity, Academic institutions, Assessment process.

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