Volume 12 | Issue 2 |

 Abstract

Abstract: The main objective of the study is to Study of Self-Concept of Students studying in secondary schools. The study applied survey method to explore the self-concept of secondary school students. A total of 300 students took part in the study. Vikram-Prahallada Self-Concept Inventory was used to collect the data. An independent sample t test was used to analyse the collected data. A graphic representation of the data was also displayed. The study found that, locality and class have no significant effect on the self-concept of secondary school students. In terms of self-concept dimensions, the study found a strong effect of locality on emotional characteristics, personality traits and social behaviour, as well as a significant effect of class on emotional characteristics.

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SELF-CONCEPT, STUDENTS AND SECONDARY SCHOOL.

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Prostate cancer stands out as one of the most intricate forms of cancer and is the foremost cause of death among men. Due to cellular heterogeneity and variation in Androgen receptor expression diagnosis and treatment of Prostate cancer is very challenging. Most of the chemotherapeutic agents have been developed to block binding and inhibit the synthesis of Androgen. However, long-term use of Androgen deprivation therapy leads to resistant prostate cancer. Metformin is a biguanide which is the most commonly prescribed drug for T2DM. It lowers glucose levels through AMPK activation, subsequently affecting the mTOR pathway and additionally inhibiting the PI3K/Akt by regulation of PIP3. Hence, Metformin may be an important molecule in the case of heterogeneity of AR signalling where it might influence AMPK and mTOR pathway. In this paper we have evaluated the efficacy of metformin in presence or absence of AR or its variant. The study involves three different cell lines:1) Lncap cells with an AR receptor,2) 22RV-1 cells with an AR and its variant, and 3) PC3 cells, an AR-negative cell line. We investigated the Inhibitory activity of metformin in these cell lines in the context of AR. and its variant ARV7. Moreover, the influence of Synthetic androgen R1881 was also explored.

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AMP, AMPK, AR, ARV7, ATP, DBD, ER, mTOR, LBD

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This research investigates the multifaceted impact of Goods and Services Tax (GST) on import and export trade dynamics. The study delves into the transformative effects of GST, examining streamlined documentation processes, harmonised taxation, and the pivotal role of Input Tax Credit. While the findings underscore numerous advantages such as enhanced efficiency and a competitive shift, challenges such as initial implementation hurdles and complexities for small businesses are also identified. The government's proactive adaptation of policies, emphasis on digital integration, and efforts towards global harmonisation emerge as critical factors in shaping the GST landscape. The research concludes with suggestions, including simplifying compliance, enhancing support for small businesses, and fostering digital literacy. As GST continues to evolve, a strategic and adaptive approach, coupled with stakeholder collaboration and education, is deemed essential for navigating the intricate dynamics of import and export trade within the GST regime.

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Goods and Services Tax, Impact of GST, Import-Export, Compliance

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India produces about 3000 million tons of MSW annually out of which 40 -50 % are compostable (Sharholy et al., 2007). The quality of the compost is crucial to the commercial viability of MSW compost as it is examined for hazardous microorganisms, heavy metals, and fertilizing characteristics. In the current study, an analysis (both statistical and from the State Organic Fertilizer Testing Laboratory) of the MSW obtained from the 150TPD Municipal Solid Waste Management Plant under Berhampur Municipal Corporation, Berhampur, Odisha, has been done in an attempt to understand the quality of compost so formed by the windrow composting process. The quality of composts was determined using Quality Control Indices such as Fertilizing Index and Clean Index. After analysis, it was discovered that all of the metrics, including moisture content, pH, EC, TOC, Total Nitrogen, Total Phosphorus, Total Potassium, and C/N ratio, as well as heavy metals including zinc, copper, cadmium, nickel, lead, and chromium, were within the FCO's acceptable limits. Further Fertility Index and Clean Index were determined for both the samples, and it was found that both the samples had a fertility index value of 4.2 and clean index value of 4.2 for sample I and 3.6 for Sample II was determined. It was found that Sample I belonged to Class A category whereas Sample II belonged to Class C category based on the values of the Indices, which are used to determine the class to which the compost belongs. Therefore, from the perspective of composting, it is recommended that thorough solid waste segregation be done because combined trash degrades compost quality.

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C/N ratio, Clean Index, City Compost, Heavy metals, MSW

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The main objective of this study was to construct a tool for assessing students' attitudes toward the "Sabooj Sathi scheme" and to establish its reliability and validity. In the study total of 840 school-going adolescents in West Bengal were involved. Item analysis revealed that, out of the initial thirty items in the scale draft, twenty were deemed valid for inclusion in the final scale. The final scale underwent item-total correlation analyses, confirming its high item validity. The final scale demonstrated strong reliability, with a Cronbach's alpha coefficient of 0.856 and a Split-Half reliability coefficient of 0.857.

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Attitude Scale, Sabooj Sathi Scheme, Reliability, Validity, West Bengal

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In order to study and evaluate yoga postures, this final-year project covers the design, development, and implementation of a Yoga Pose Detection System that combines computer vision and machine learning approaches. By giving practitioners immediate feedback and direction, the method seeks to improve the quality of the yoga practice and help practitioners achieve better alignment, form, and general well-being. The research uses cutting-edge image processing algorithms to identify and extract important body landmarks and information from pictures or videos of people doing yoga positions. Utilizing a trained machine learning model, the system accurately identifies and classifies various positions, offering real-time feedback on alignment, balance, and good posture. Experts seeking guidance from beginners to seasoned practitioners refining their skills can all benefit from the offered solution.

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Self-learning, Machine Learning, Yoga Pose Detection

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This study examines the influence of green product awareness (GPA), perceived corporate social responsibility (CSR), and price sensitivity (PS) on consumer satisfaction (CS) with sustainable products among Indian consumers. Data collected from 200 respondents through a questionnaire survey, using a 5-point Likert scale, were analyzed using structural equation modeling (SEM), yielding nuanced insights. Contrary to expectations, while indirect effects suggested a positive relationship between GPA and CS mediated by perceived value (PV), direct effects were statistically insignificant. Similarly, perceived CSR did not exhibit a significant direct or indirect impact on CS. Surprisingly, the hypothesis positing that higher income and education levels correlate with lower price sensitivity was not supported. The study highlights the importance of prioritizing perceived value over mere GPA or CSR to enhance consumer satisfaction effectively. Furthermore, recognizing the intricate interplay between income/education levels and price sensitivity can assist businesses in crafting tailored marketing approaches for sustainable products. Major suggestions include focusing on enhancing perceived value, reevaluating CSR strategies to align with consumer expectations, and exploring other factors influencing price sensitivity. These insights offer valuable implications for understanding consumer behaviour in the Indian market and provide actionable recommendations for businesses seeking to promote sustainability and elevate consumer satisfaction.

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Sustainable consumption, Consumer preferences, green product awareness, Corporate social responsibility, Price Sensitivity

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Self-help groups are a growing group of emerging local businesses in the country which is run and employed by women. It is a difficult stage to bring the products manufactured by the group to the market and to promote and sell them through marketing strategies. Today, where the e-business online market is rapidly gaining ground, the goods coming from MSME and abroad are being attracted and are being available at low prices at home. In such a situation, these groups find it difficult to sell their goods in the market. The researcher has tried to research here that how self-help groups can attract their goods in the market by using the market strategy 5P's model and with the new era of e-business (online), you can expand your business by attracting items both offline and online.

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Self-help groups, marketing strategies, e-business, 5P's model

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PRYAVRANIYA PRADUSHAN AVM MANAV JIVAN

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PRYAVRANIYA PRADUSHAN AVM MANAV JIVAN

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ABSTRACT This article explores the compelling contributions of Bessie Head, a prominent African writer, to the feminist literary discourse. Bessie Head, known for her powerful narratives that delved into the complexities of gender relations and societal norms, left an indelible mark on the literary landscape. Through her works, she showcased the multifaceted experiences of women and challenged the oppressive patriarchal systems prevalent in postcolonial Africa. This article examines key themes and characters in her writings, highlighting her feminist ideology and the ways in which she brought feminist consciousness to the forefront. By analysing her novels and short stories, this study aims to present a comprehensive understanding of how Bessie Head's works have contributed to the enrichment of feminist literature.

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Keywords: Bessie Head, Feminism, Writings, Gender, Postcolonial, Empowerment, South African literature

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