Volume 12 | Issue 2

 Abstract

Non- human animals functioning as narrators and protagonists is not common only to fairy tales and fables. Their voice can be found in serious literature too and they narrate the intricacies of their life and their worlds. The primary reason for having animals as narrators is the possibility of evoking empathy from the readers towards the plight of animals. The authors of such works try to decentre human beings and defamiliarize the human perception of the world. Having animals as narrators also facilitate the writers to avoid censorship and persecution by projecting their ideas through animal voice. Thus, ranging from fairy tales to political satires, animal images are common and their voices are used to negotiate the relationship between animals and humans. The paper aims to analyse the Animal narratives in the novel The Bees written by Laline Paull. The plot of the novel is revealed from the perception of a bee and with a limited human intervention. However, traces of anthropocentrism are found in the novel despite its careful detachment from the animal world. The paper sets to show the convergence of animal and human world and the system devised to have a better understanding on the life of bees.

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Animal Fiction, Animal Narratology, Anthropomorphism.

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The main aim of present investigation was to assess the current status of infrastructural facilities in secondary schools under Rashtriya Madhyamik Shiksha Abhiyan (RMSA) of Himachal Pradesh. The findings revealed that majority of sampled secondary schools has adequate infrastructural facilities but some facilities were inadequate almost in all sampled secondary schools in sampled four district of Himachal Pradesh. In the concluding part of the paper, findings have been discussed.

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Rashtriya Madhyamik Shiksha Abhiyan (RMSA), Secondary Education, Infrastructure Facility

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Potato crops offer numerous advantages to human life, with one of the most significant being their high carbohydrate content, which serves as a primary source of nutrition for humans. The progress in potato agriculture holds vital importance for sustaining human life. However, various challenges impede the development of potato farming, including diseases that target potato leaves. If left unaddressed, these diseases can lead to decreased production and potential crop failure. Notable among these leaf diseases is early blight, caused by the fungus 'Alternaria solani', and late blight, caused by the microbe 'Phytophthora infestans'. Each disease presents distinct symptoms, enabling farmers to take preventive measures upon their identification. However, due to the specialized knowledge required, accurate and timely disease identification proves challenging for the average farmer. In response to this, technology in informatics, particularly digital image processing, can offer a solution for disease identification in potato leaves. This research aims to propose an effective method for detecting diseases in potato leaves, utilizing three types of data: healthy leaves, early blight, and late blight. The identification process employs deep learning techniques, specifically utilizing the Convolutional Neural Network (CNN) architecture. The result of this research is that the 70:30 data segmentation produces better accuracy than the 80:20 data segmentation. The accuracy obtained is 98 % on training data and 97 % on validation data using 32 batch sizes at 50 epochs.

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CNN (Convolutional Neural Network), late blight, early blight, healthy, identification, leaves, disease, pixel, Epoch, Crops, leaves

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This study examines the various ways that artificial intelligence (AI) is changing the nature of work. Concerns about the loss of jobs, changes in skill requirements, and socioeconomic effects have gained more and more traction as AI technologies develop. The study examines the complex dynamics of job creation vs removal as it dives into the complex relationship between AI and employment. In light of AI integration, it evaluates the changing skill sets that employers are requiring, taking into account the importance of education and training in preparing the labor force. The study also examines the moral implications of AI's impact on employment, covering topics like algorithmic prejudice and the moral use of AI in recruiting. The study also looks at possible effects on income inequality, highlighting the need for inclusive policies to deal with the shifting environment. The report compares various national perspectives on AI's effects on jobs through a global lens and offers insights into policy frameworks meant to promote a peaceful coexistence between AI technology and workforce stability. Artificial intelligence's (AI) effects on employment are a complicated and dynamic subject. The complex implications of AI on employment across a range of industries are examined in this abstract. It explores how automation is transforming society by examining how AI technologies can both create and destroy jobs. Skill shifts are covered in the discussion, with a focus on the increasing significance of adaptability in the workplace. The abstract also discusses societal ramifications, including the necessity of reskilling programs and the possibility of AI increasing productivity. All in all, it offers a succinct synopsis of the dynamic interaction between AI and the labor market.

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Artificial Intelligence (AI), Job Displacement, Job Creation, Workforce Transition, Ethical Use of AI, Policy Frameworks

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Research into energy collecting technology has grown significantly in recent years as a result of the growing demand for alternate energy sources. Different technologies have been developed recently, and the specific issue of energy harvesting on road pavements is a very young area of research. None of them, however, has demonstrated both high conversion efficiency and technical and financial feasibility. In order to transfer energy from the device surface to an electrical generator, this study discusses the construction of a new mechanical system to be used on an electromechanical device that harvests energy from road pavement. The major objective is to measure and contrast the new system's energy harvesting, transmission, and conversion efficiency with existing systems. There are offered conclusions about the effectiveness of the system

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Road pavement; Energy Harvesting; Energy conversion; System modelling.

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Hair loss are the common problems of today's generation for men and women both. Due to increase in pollution and chemicals which are directly or indirectly used in the form of shampoos, hair gels and other hair care products. Hair loss, hair thinning, dandruff and early whitening of hair are the most common problems faced by people. There are a variety of herbal plants which can be used to promote hair growth which provide natural minerals and oils to our hair in comparison to chemical-based products. The present work is done by formulating and evaluating Hibiscus and flaxseed herbal hair gel. The present study focuses on preparation and evaluation of herbal gel which is full of benefits as compared to other gel. Rich in fatty acids and antioxidants, flaxseed, sometimes referred to as linseed, aids in the removal of pollutants and dead cells from the scalp. Applying flax seed gel to the scalp and hair as a moisturizer can help to promote hair growth and strengthen existing hair. Hibiscus rosa-sinensis is a medicinal plant member belonging to the family Malvaceae. Hibiscus rosa-sinensis is used for the treatment of various diseases including alopecia Herbal hair gels help to overcome the various damages caused by chemical agents in various marketed products.

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Aqueous extract, Carbopol, Hibiscus, Flaxseed, Hair Gel and Herbal.

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Over the last few decades, we witnessed a sea change in the social status of women as they came out of their confinements from homes, to work outside and play multiple roles with competence. This could become possible because of spread of education, awareness and skill training among the women but unfortunately, taking up a career came up with a lot of challenges for them. Working women went through a lot of stress and strain in balancing between professional and personal life, unhealthy work place with discriminatory practices and the problem of glass ceiling. Glass ceiling as a metaphor dealt with subtle gender disparities between men and women at workplace. It was an invisible barrier that prevented women from getting high positions in jobs regardless of their eligibility and efficacy. The present paper reviewed various studies on glass ceiling in the West and India and explored its existence across the globe. Findings were content analyzed and possible ways to handle the issue were suggested on the basis of socialization, gender role expectations, psycho-social needs and empowerment of working women.

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Glass ceiling, Discrimination, Gender role, Working women

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Dushta Vrana (chronic, non-healing ulcer) is a frequently encountered problem in present era. It is a discontinuity of skin exhibiting loss of epidermis and part of dermis and even sub-cutaneous fat. Produced commonly as a complication of trauma or pathological insult and it causes individual long term suffering. The management of Dushta Vrana is a challenging task to surgeons. Various formulations and methods for management of Dushta Vrana has been described in various Ayurvedic texts. One of these formulations,Saptaparna patra lepa has been studied to evaluate and compare its efficacy with Jalaukavacharan. It is a single blind clinical study; where in 60 screened patients of Dushta Vrana were selected for the study from Shri Shivayogeeshwar Rural Ayurvedic Medical College and Hospital,Inchal. Patients are divided into three groups of 20 each. Clinical signs and symptoms were given suitable grades according to their severity and assessed based on relief, after the treatment and were statistically analyzed with suitable test. Group "A"- Patients were treated with Saptaparna Patra Kalka Lepa application. Group "B" - Patients were treated with Jalaukavacharana Group "C" - Patients were treated with Jalaukavacharana along with Saptaparna Patra Kalka Lepa application The results observed in group "A" and "B" showed gradual improvement where as in group "C" highly significant results were obtained.

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Dushta Vrana , Saptaparna Patra Kalka Lepa, Jalaukavacharana

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 Abstract

?????? ? ? ????? ??????, ????? , ????? ?? ????? ???? ?? ???? ??? ? ?? ????? ???? ???? ???? ? ? ????? ?? ?? ???? ??? ?? ???? ?????? ? ? ??? ?? ??? ??? ? ? ?? ? ???? ?? ??? ?? ?? ????? ???? ?????? ? ? ??? ??? ? ?? ????? ?????? ?? ? ??? ???? ? ????? ? ?????? ?? ??? ???? ???? ? ? ?? ???? ?? ????? ??? ????-??? ? ?? ?? ?? ????? ?? ?? ?? ? ??? ? ????? ??? ?? ???? ??? ? ? ?? ??? ?????? ?? ??? ??? ?? ? ?????? ?? ??? ?? ???? ????? ?? ??? ???? ? ?? ????? ??? ???? ?????? ? ? ????? ???? ???? ???? ?? ???????? ? ?? ??????? ?? ? ???, ?? ? ????? ???? ? ? ??? ????? ? ? ???? ???? ?? ? ???? ?????? ? ? ? ?? ???? ? ?? ???? ??? ??????? ? ?? ?????? ? ?? ???? ???? ?? ? ????? ??? 1980 ?? ?? ? ???? ??

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???? ???????? ,???? ??????, ???? ????

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Artificial Intelligence (AI) stands out as a groundbreaking technology with the potential to revolutionize human work and interactions with intelligent machines and environments. Some experts contend that AI's impact could surpass that of the internet and the Industrial Revolution in transforming various aspects of human life. In this article, we would explore how work and organizations would get impacted by the advent of AI technology. There is a considerable amount of hype and misconceptions surrounding the idea that AI will replace jobs in diverse industries and domains. Instead, we will explore areas where AI can complement and improve everyday tasks, ultimately increasing workforce productivity and fostering innovation.

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Artificial Intelligence, Human, Machine Learning, Security, Workforce, Training

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This paper retrospectively examines the differences in financial behavior among different age group tourists with regard to digital payments and to obtain an understanding of the consequences of increased digitalization of payments. To that end, the paper uses a sample of 122 respondents across different travel destinations of Kerala. The study characterizes individuals' stated preferences for cashless payment across the four domains of Bill payment, Hotel booking, Fund transfer and Purchase. The parameters of the resulting statistical survey are estimated within the SPSS Version.26. Therefore, this study adapted one-way ANOVA model with individual difference variables like, age and level of education as core constructs in different hypothesis and extended the model with consumer related constructs such as Cost saving, Ease of Use, Usefulness and Trustworthiness. Empirical examination of the model among 122 tourists revealed Ease of Use, Usefulness and Trustworthiness as significant positive predictor of consumer use behavior towards mobile payment. Moreover, intention to use was significantly influenced by age difference, level of education and facilitating conditions. Overall, the findings provide support for evidence-based decision making by the tourism department on digitalizing payments.

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Mobile payment, Customer satisfaction, Ease of use, Usefulness, Trustworthiness

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In the Modern age of industrialization, increasing competition, increase in competitors global-ly and rapid increase in demand to meet the local and global requirement with correct quality and standards to satisfy the needs of the customer and matching new rising needs which re-quire change in design, product standards machine learning is a strong need for implementa-tion in the industry.

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Industrialization, Modern Age , Machine Learning, industry 4.0, Predictive Maintenance, Computer Vision, human Resource Management, Decision Making, Telecommunication, Ed-ucation Industry.

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This paper explores the multifaceted impact of government schemes on the economic development of tribal communities in Telangana, India. Telangana, with a significant tribal population, has been the focus of numerous government initiatives aimed at addressing the socio-economic disparities faced by these communities. Through an analysis of existing literature, policy documents, and empirical evidence, this abstract highlights the diverse ways in which government schemes have influenced the economic landscape of tribal areas in Telangana. The socio-economic context of tribal communities in Telangana, emphasizing their historical marginalization and dependency on traditional livelihoods such as agriculture, forest resources, and artisanal activities. The critical role of government schemes in driving economic development and empowerment among tribal communities in Telangana. It advocates for the continued prioritization of inclusive and sustainable development policies that address the specific needs and aspirations of tribal populations, while also emphasizing the importance of community engagement, participatory decision-making, and robust monitoring mechanisms to maximize the impact of these interventions.

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Socio-Economic Conditions; Welfare Schemes; Tribes; Telangana

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Cloud computing is a transformative approach to computing, providing remote access to processing resources housed in expansive data centers. Fundamentally, it leverages virtualization to enable the sharing of hardware resources, optimizing resource utilization and reducing operational expenses. Virtualization involves creating isolated virtual environments called virtual machines (VMs) for each operating system, essentially replicating physical machines. A single physical machine (PM) can host multiple VMs, allowing for efficient resource allocation. An integral feature of cloud computing is virtual machine migration, which enables the smooth transfer of a continuously operational VM from one physical host to another. This capability offers several advantages for data centers, including load balancing, maintenance, fault tolerance, and power management. This study delves into an analysis of live migration procedures in data centers, exploring various strategies for virtual machine migration. Additionally, it investigates the diverse parameters influencing VM migration. The paper also examines the complexities of live virtual machine migration and emphasizes the role of virtualization in effectively provisioning resources.

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Cloud computing, Virtualization, Virtual machine migration and parameters, resource utilization.

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The purpose of this study is to find out how employee performance in the textile industry is affected by human resource management practices, or HRMPs. 500 workers in a range of positions were given structured surveys using a quantitative methodology. The goal of data analysis is to fully comprehend the relationship between employee performance and sound recruitment and selection (SRS), proper training and development (PTD), appropriate compensation and reward (ACR), timely performance appraisal (TPA), and AMOS-23 with structural equation modeling (SEM). The results confirm strong beneficial benefits, adding insightful information to the HRM literature and highlighting the critical function of HRMP in improving employee performance. This study fills in some knowledge gaps on HRM practices in the textile sector.

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Textile industry, Human Resource Management Practices, Employee Performance, Structural Equation Modeling, HRM effectiveness, Workforce Development Challenges, Sustainable Human Resource Management.

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The organization is run by the people, choose the candidates by the proper exam system which later on run the organization by the chosen people for supervision and delegation of powers and management in the organization. The people get benefit by the work and alignment of the work posed by the administration in the organization which in turn is backboned by the cooperation of administration and rounding staff. The proper participation of the staff and administration is necessary for the proper functioning of the place of work like hospital. The proper and pure strict/ work friendly environment is necessary for working of the hospital management. There is need of having the better administrators of proper hospital outcome and efficient disposal of the services by the staff. A cool and calm environment with least burn- outs and efficient administrative and rounding staff for proper functioning of hospital.

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A COMPARATIVE STUDY ON WORK EFFICIENCY OF THE HOSPITAL STAFF BY MANAGEMNET IN GMC OF KASHMIR.

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This innovative initiative in India represents a significant leap forward in addressing communication barriers for the deaf population. The glove-based device, integrating flex sensors and an Arduino Nano control unit, facilitates the recognition of intricate sign language gestures. The system's ability to convert these gestures into text, displayed on an LCD, demonstrates a tangible bridge between sign language and written communication. The wireless transmission of information to a PC or cellular phone for subsequent text-to-speech conversion underscores the adaptability and potential widespread use of the technology. Moreover, the ongoing prototype development indicates a commitment to expanding the system's capabilities beyond basic alphabets and numeric characters. This forward-looking approach suggests a vision for a comprehensive communication tool that can accommodate a broader range of sign language expressions and linguistic nuances. Additionally, the initiative's impact extends beyond individual communication, potentially influencing societal perceptions and inclusivity. The incorporation of machine learning and continuous improvement in gesture recognition algorithms could further enhance the system's accuracy, promoting a more seamless and natural interaction between the deaf community and the larger population. Overall, this groundbreaking initiative not only addresses immediate communication challenges but also sets the stage for a more inclusive and technologically advanced future for individuals with hearing impairments in India.

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Sign language, Arduino, ASL, Sound Glove, Dumb, Gesture recognition, Deaf, Flex

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 Abstract

?? ? ? ?? ?? ???? ??? ? ?? ?????? ??????? ? ?? ???? ??????? ?? ???? ?? ??? ?? ????? ??? ???? ? ?? ????? ?? ? ? ??? ???? ??? ?? ??? ????? ?? ? ? ?????? ???? ??? ??????? ?? ? ?????? ??? ?? ?? ??????? ?? ??? ??? ? ?? ????? ???? ??????? ?? ? ????? ????????? 1960-65 ? ? ??-??? ????? ??????? ?? ? ?? ??? ????-???? ???? ??????? ?? ??????? ???? ???? ??????? ??? ? ?? ?? ???? ???? ??????? ?? ???? ?? ???????? ???????? ??, ??????? ??????, ??????? -?????, ??-???, ???-???, ?? ??? ?? ??? ???? ?? ???? ??? ?????? ???? ???? ?? ?????? ???? ??? ? ??

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??????? ?????? ,???? ???????,?????? ???????,

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Hair Length Technology is one of the techniques of storage of data in the form of computer language. It will store the data as like a hair length. Dot bounded or chainage methods it's stabled in the one small point and can be able to store more data from the other ROM or Storage devices. The mapping and storage is a major different from the other methodology that technique is more challenging and cannot be defeat by any other formula at that time. The digital data will be stored in the form of hair grow. Hair grow on the route like data will be stored on the route occupied less point spaces & can be stored big data. The basic understanding of how software functions is helpful for anyone who interacts with technology. With a background in programming, you can get an implantation by coding, designing software, data architecture, or creating intuitive user interfaces.

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Procedural programming languages, Functional programming languages, Object-oriented programming languages, Scripting languages, Logic programming languages, Front-end language, Back-end languages.

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ABSTRACT BACK GROUND: Impingement is pathological compression of rotator cuff against the anterior structure of coracoacromial arch anterior 1/3rd acromion, Coroco-acromial ligament . AC joint progression of syndrome is defined by narrowing of sub-acromial outlet by spur formation in coracoacromial ligament and undersurface. Kinesiological taping is commonly used to improve symptoms associated with musculoskeletal disorder and Muscle energy technique also helps to reduce pain and disability. The shoulder range of motion is assessed by using goniometer and SPADI scale. This association will be helpful in determining the effect of kinesiology taping and muscle energy technique to reduce pain and disabilities in shoulder impingement syndrome. OBJECTIVE: To find out the effectiveness of kinesiology taping with muscle energy technique versus codman's pendular exercises with interferential therapy in patients with shoulder impingement syndrome. METHODOLOGY: 30 subjects with shoulder impingement syndrome were randomized into two groups according to inclusion and exclusion criteria. ? GroupA patients are treated with kinesiology taping with muscle energy technique (MET), duration 12 sessions for 4 weeks. ? Group B all treated with codman's pendulum exercise with Interferential therapy duration of 12 sessions for 4 weeks The pain and disability is measured by shoulder pain and disability index (SPADI Scale) and the range of motion was assessed by Goniometer for both groups. OUTCOME MEASURES: SPADI Scale, Goniometer RESULT: Statistically analysis was done, the comparative study between two groups is significant at the level of 0.01. CONCLUSION: The study concludes that Kinesiology taping with muscle energy technique has a significant effect in relieving pain and increasing range of motion as compared to treatment with Codman's pendular exercise with interferential therapy.

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KEYWORDS: Shoulder impingement syndrome, Shoulder Pain Disability Index(SPADI)

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