Volume 14 | Issue 5 |

 Abstract

The world where each day the disillusionment arises and with it the question of what is the essence of any human lives comes into jurisdiction. The term 'authentic self' comes into prominence following that. Mahesh Elkunchwar in the play "Apocalypse" constantly engages with the question of what a human life is all about. The characters in the play are trying to find out a way of life through a dialogic method. The symbolic Wada and its degradation is an emblem of the decline of culture and the values associated with it. This paper will try to evaluate the notion of authentic self in the characters of the play. The analysis will be made as per the point of view of Martin Heidegger's. This paper will also try to analyse Elkunchwar's idea of authentic self from the play. The research methodology that will be employed in the play will be discursive and qualitative.

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 Keywords

Existentialism, Self, Authentic self, Disillusionment, Contradiction, Alienation, Degradation, Mahesh Elkunchwar, Pragmatism.

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Andhra Pradesh, the granary of India, has played a historic role in transforming India from a nation that was food deficient to one that is self-sufficient. The turnaround was so dramatic and achieved in a very short time that it was called a revolution, the Green Revolution. It is highly skewed in favour of certain regions and states. The Andhra Pradesh state with only 4.96 per cent of geographical area of the country has been contributing major proportions to national food reserves for the last few decades. Since the 2014s, however the colour has been fading. After attaining an exemplary growth in agriculture in Andhra Pradesh has reached the crossroads from where sustaining growth appears to be an arduous task. Many observers on agricultural issues in Andhra Pradesh paint a picture of decay and degradation of agriculture. Most of the experts have expressed persistent concerns and focused on the margin of profit from major crops and farm income. The agrarian economy of Andhra Pradesh today stands at crossroads. The majority (nearly 80%) of the cultivators and all the agricultural labourers are beleaguered by stagnation. A majority of small and marginal farmers have already been pushed below the poverty line.

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Economic Analysis of Rainfed Agriculture in Prakasam District of Andhra Pradesh

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Online hiring portals have become prime targets for fraudulent actors who post counterfeit job vacancies to steal personal data or extort money from vulnerable job seekers. This paper reviews twelve peer-reviewed studies spanning 2021 to 2026, tracing how detection methodologies have progressed over that period. Early works leaned on classical machine learning classifiers, whereas newer contributions exploit transformer-based encoders and behavioral fingerprinting of scam perpetrators. Building on these observations, a hybrid detection architecture is proposed--one that pairs BERT-style semantic embeddings with structured attribute scoring. Cross-study evidence indicates that modern AI-oriented pipelines consistently achieve higher discrimination accuracy and adapt more effectively to novel fraud patterns than their rulebased counterparts.

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Employment Fraud Detection, Machine Learning, Deep Learning Models, Natural Language Processing, Scam Identification, Cybersecurity, Transformer-Based Models, Bidirectional LSTM, Fake Job Listings, AI-Based Systems

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Background: Plantar fasciitis is a common cause of heel pain that affects daily function and mobility, especially in females engaged in prolonged standing and walking. It involves inflammation of the plantar fascia -- a thick connective tissue that supports the arch of the foot. Conservative physiotherapy techniques such as Myofascial Release (MFR) and Stretching Exercises are frequently used to manage pain and restore function, but their comparative effectiveness remains unclear. Objective: To compare the effectiveness of Myofascial Release and Stretching Exercises on pain reduction and foot function improvement in females with plantar fasciitis in a tertiary health care hospital. Methodology: A comparative study was conducted with 54 female participants (aged 25-50 years) who were clinically diagnosed with plantar fasciitis. Participants were randomly assigned to two groups of 27 each: Group A received Myofascial Release (MFR) and Group B received Stretching Exercises. Both groups also received a 5-minute therapeutic ultrasound prior to treatment. The interventions were performed over a 2-week period, and outcomes were assessed using the Visual Analogue Scale (VAS) for pain and the Foot Function Index (FFI) for function. Data were analyzed using paired and unpaired t-tests. Results: Both interventions significantly reduced pain and improved foot function within groups (p < 0.05). However, Myofascial Release showed a greater reduction in VAS scores and an improvement in FFI scores compared to Stretching Exercises. Conclusion: Myofascial Release and Stretching Exercises are both effective in reducing pain and improving foot function in females with plantar fasciitis, but Myofascial Release demonstrated superior results. Hence, MFR can be considered an effective non-invasive treatment option for managing plantar fasciitis in clinical settings. However, the present study concludes that Myofascial Release is more effective than stretching in a 2-week intervention.

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Foot Function Index, Myofascial Release, Plantar Fasciitis, Stretching Exercises, Visual Analogous Scale

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This study examines the level of awareness towards the National Education Policy 2020 among male elementary school teachers in urban and rural areas of Betul tehsil. The research is grounded in the understanding that teachers are the key agents in implementing educational reforms, and their awareness directly influences the success of policy execution. A descriptive survey method was employed, and a structured awareness scale was used to collect data from a sample of teachers selected through a systematic sampling design. The study focuses on comparing awareness levels across geographical locations to identify disparities and underlying factors influencing such differences. The findings reveal that teachers in urban areas demonstrate a higher and more consistent level of awareness compared to their rural counterparts, indicating better access to training, institutional support, and educational resources. In contrast, rural teachers exhibit comparatively lower awareness, highlighting challenges such as limited exposure to policy updates and fewer professional development opportunities. The results further suggest that the gap in awareness may hinder the uniform implementation of NEP 2020 across different regions. The study emphasizes the need for targeted interventions, including capacity-building programs, workshops, and digital dissemination strategies, particularly in rural areas, to enhance teachers' understanding and preparedness. Overall, the research contributes to the existing body of knowledge by providing insights into the role of teacher awareness in educational reform and underscores the importance of equitable policy dissemination for achieving the objectives of NEP 2020.

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Keywords: NEP 2020, teacher awareness, elementary education, urban teachers, rural teachers, educational policy, teacher training, policy implementation, awareness level, comparative study, Betul tehsil, school education

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The skin is a complex organ that protects the body from the external environment. It acts as a protective barrier against physical, chemical, and microbial threats while regulating water loss and maintaining internal homeostasis. In addition to forming a permeability barrier, the skin plays an important role in temperature regulation, sensory protection against ultraviolet (UV) radiation, tissue repair, and wound healing.

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The pH values ranged within a safe range for skin application, and the best spreadability was observed in the formulation.

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Malaria remains a significant global health challenge, particularly in tropical and subtropical regions, where resistance to conventional antimalarial drugs is increasing. Herbal medicines have gained attention as alternative therapeutic agents due to their safety, affordability, and accessibility. Tamarindus indica (tamarind) leaves are traditionally used for their medicinal properties, including antipyretic, anti-inflammatory, and antimicrobial activities. This study focuses on the formulation and evaluation of tablets prepared from tamarind leaf extract for potential antimalarial activity. Tamarind leaves were collected, dried, and subjected to extraction using suitable solvents. The obtained extract was formulated into tablets using standard excipients and compression techniques. The prepared tablets were evaluated for physicochemical parameters such as hardness, friability, weight variation, disintegration time, and dissolution profile. Additionally, preliminary phytochemical screening and in vitro antimalarial activity were assessed.The results indicated that the formulated tablets met pharmacopoeial standards for tablet quality and showed promising antimalarial potential. The study suggests that tamarind leaf-based tablets could serve as a cost-effective and natural alternative for malaria treatment, warranting further in vivo and clinical investigations.

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Tamarindus indica ,Tamarind leaves Capsule,malarial activity, antimalaria , flavonoids

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Creative Commons Attribution 4.0 and The Open Definition

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(???????? ??? ?? ???????? ?????? ???? ?? ????????????? ??? ?????? ???? ?? ????? ??????? ??? ???? ??????? ??????? ?? ???? ????? ?? ????????? ??? ????????? ???????? ???? ??? ?????? ??? ?????? ??? ??????? ????????????? ?? ????????????? ?? ???? ??? ?? ???????? ???? ???, ????? ????? ?????? ?? ???? ??????? ????? ???? ?? ???? ??????? ??????? ?? ?????????? ????????, ????? ??? ?? ANOVA ??? t-??????? ?? ?????? ?? ?? ?????? ??? ?? ???????? ??? ?? ?????? ???? ??? ??????? ????????????? ?? ??????? ??????? ?? ?????????? ??? ?? ???????? ???? ??? ??? ????????????? ??? ?????? ?? ????? ???? ???? ??? ??, ?? ?????? ?? ????? ???? ??????, ?????? ??? ?????? ???, ????? ???????????? ???? ??????? ??????? ?? ???? ?? ???? ???? ???? ???? ??????, ??? ????????????? ??? ??????? ?? ???? ?? ??, ???? ??????? ?????????? ????? ???? ?? ???? ??? ?????? ?? ?? ?? ????? ??? ?? ??????? ????????????? ?? ????????????? ?? ??? ??????? ???? ?????? ????????????? ?? ????? ??? ???? ??, ?? ???????? ????????, ?????? ????????? ??? ??????? ?? ???? ?? ??????? ??? ???? ????????, ??? ??? ?? ?? ???????? ???? ??? ?? ??????-???????, ????????? ?????, ??-??????? ??????????, ?????? ?? ?????? ????, ????????? ?????? ??? ??????? ???? ???? ?? ????????????? ?? ??????? ??????? ?? ???????? ???? ??? ?????????? ?????? ?????? ???? ????? ??? ?? ?? ???????? ?????? ??? ?? ?????? ???? ??? ??????? ??? ??????? ??????? ?? ???? ?? ?????????, ?????? ??? ?????????? ??? ?? ?????????? ????? ???????? ??, ?? ????????????? ?? ????? ???????? ????? ??? ?????????? ??????? ??? ????? ????? ???? ???)

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????? ????: ?????? ???????, ??????? ???????, ?????????? ?????, ?????? ??????????, ?????? ???????????, ??????? ???????????, ??????-???????, ???????, ????????? ??????, ?????? ????, ??-??????? ??????????, ????????? ???????, ?????? ??????, ????? ???????

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This study aimed to evaluate the effectiveness of a structured yoga training program on physical endurance and recovery from fatigue among college-level students. A total of fifty participants between 18 and 25 years of age were randomly assigned into two equal groups: an intervention group and a non-intervention group. The intervention group participated in a twelve-week guided yoga regimen that incorporated physical postures, controlled breathing techniques, and relaxation practices, while the comparison group continued with their usual daily routine without any additional training.

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Yogic training, physical endurance, fatigue assessment, recovery efficiency, undergraduate students

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The exponential rise in the number of connected devices in the Internet of Things (IoT) poses major problems in regard to security, scalability, and resource consumption. Centralized security solutions in use fail in providing efficient solutions since the presence of high latencies and a lack of resources in an IoT environment leads to single points of failure and other limitations. In this context, a new distributed architecture is designed to provide a solution in regards to ensuring security in an IoT environment. In the framework developed, edge computing and light machine learning algorithms are implemented. The results of this research prove to be significantly better than those attained in a traditional setting. Keywords: Internet of Things, Distributed Architectures, Security, IoT, Lightweight Security, Edge Computing, Machine Learning

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Keywords: Internet of Things, Distributed Systems, Lightweight Security, Edge Computing, Machine Learning, Scalability, IoT Security

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