Volume 12 | Issue 7

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Gramin bhagatil mahavidhyalaya sharirik sikshan prakriyetil aavane anni samashya: vishesh sandarbh dwara taluka jilha yavatmal

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Gramin bhagatil mahavidhyalaya sharirik sikshan prakriyetil aavane anni samashya: vishesh sandarbh dwara taluka jilha yavatmal

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Emotion recognition systems based on facial gestures can analyze andtag emotional states from video recordings in real time. These systems work onthe premise that specific facial expressions correspond to particular emotions.Among the six primary emotions, depression is notably significant as a mooddisorder characterized by feelings of sadness, anger, or loss that disrupt dailyactivities. Early detection of depression is vital to prevent severe consequences.Theprojectaimstoanalyzeuseremotionsthroughreal-timevideousingConvolutional Neural Networks (CNN). If depression is detected, an interactivechatbot created with the Tkinter library appears, allowing users to share theirfeelings.Thischatbothelpsuplifttheuser'smood,assessesthelevelofdepression,andassistsinrecovery.Continuousevaluationdifferentiatesbetweensadnessanddepressionfor effective intervention.

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Emotion Recognition, Depression, ConvolutionalNeuralNetworks,Tkinter

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This study evaluates the quality standards of different brands of formulations of paracetamol, which is essential to guaranteeing therapeutic efficacy. The weight fluctuations, friability, disintegration, dissolution, and pharmacopoeial assay results show compliance with the stipulated requirements. Nonetheless, differences in tablet hardness were observed. Future research may include routine analysis using HPLC techniques. The importance of quality assurance (QA) and control (QC) in pharmaceutical manufacturing is also covered in the paper. To guarantee product quality and customer satisfaction, QC actions, data collection, corrective measures, and continuous monitoring are all important. The study emphasizes how crucial efficient QC procedures are to upholding pharmaceutical quality requirements.

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Paracetamol,HPLC,Friability

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The rapid evolution of the educational landscape, accentuated by the National Education Policy (NEP) 2020 in India, emphasizes the integration of Art-Integrated Learning (AIL) in remote teaching environments. This study explores the implementation of AIL within remote teaching, focusing on both the challenges and opportunities it presents in light of NEP 2020's transformative vision. The research employs a comprehensive literature review and analysis of various pedagogical strategies and technological interventions that facilitate AIL in remote settings. Results indicate that while AIL promotes creativity, critical thinking, and engagement through digital platforms, it also encounters challenges such as technological disparities, adaptation of hands-on activities, and the need for extensive teacher training. Effective strategies include the use of interactive technology, hybrid learning models, and professional development for educators. The paper concludes by proposing modifications to teacher education programs to include comprehensive training in digital tools and AIL methodologies, ensuring educators are equipped to deliver impactful learning experiences. This study contributes to the discourse on educational reform and the strategic integration of art in remote teaching, aligned with the holistic goals of NEP 2020.

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Art-Integrated Learning, Remote Teaching, NEP 2020, Teacher Training

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Chitra Banerjee Divakaruni stands as a luminary in Indian English literature. Her novel, The Palace of Illusions, a reimagining of Vyasa's The Mahabharata, mm of women, their quest for identity, male dominance, unique female perspectives, and the status of women during the era of The Mahabharata. It vividly portrays the humiliations faced by women as the inevitable challenges of life. Draupadi's story, as depicted in the epic, illustrates how women were expected to conform to tradition and culture unquestioningly. Draupadi's perspectives, however, starkly contrast with those of ordinary women, resulting in outcomes as formidable as her character. Her determination and courage permeate the novel, enchanting readers with its charm and gripping narrative. Whether set in ancient times or the modern era, the plight of women remains fraught with challenges, demanding them to navigate and respond to their circumstances. Draupadi's life, despite her royal birth, is marked by suffering and resilience. Her journey seeks to dismantle the stereotypical notions of womanhood. Our paper earnestly explores the clash between myth and modernity, birthing a new visage. It offers a fresh interpretation of Draupadi's voice as envisioned by Divakaruni..

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Gender, Indignity, Selfhood, Folklore, Current trends, Ritual

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This is the new age of Pharmaceutical industry, in which Pharmaceutical industry Many different types formulation is prepared such as liquid, tablets, capsule and Dry syrup. If we are talking about the formulation then fine Particles have important role in the Pharma. In polymer fields, fine particles are used for coating or encapsulations in drug formulations, food applications, and soft-hard electronic and magnetic materials. In material science fields, inorganic particles are used in semiconductor, sensor, catalyst, abrasive, optics, and electronic applications. In biomedical fields, nanoparticles are used in bio-imaging for studying drug delivery systems, in therapies for cancer treatment via heat treatment (magnetic hyperthermia) and neutron capture. Fine particles exhibit properties which are drastically different from the bulk. This opens up an area of research that is very challenging scientifically and technologically. Fine particles have been widely used for magnetic recording media, ferro-fluids, catalysts, medical diagnostics, drug delivery systems and pigments in paints and ceramics. Enhanced magnetic properties of fine ferromagnetic or ferrimagnetic particles make them very promising candidates for high density magnetic recording media. A large number of techniques have been used to prepare magnetic fine particles including chemical reduction, hydrothermal, sputtering, SMAD (solvated metallic atom deposition), gas evaporation and aerosol synthesis.

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Solubility, surface area

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This study aimed to integrate mindfulness-acceptance-commitment training into sports and to find the effect of this treatment on coping skills, competitive state anxiety, and athletic performance satisfaction. A case study approach was used to help two athletes from different sporting backgrounds. Case one experienced anxiety, panic attacks, self-doubt, and other physiological changes during the game. Case two had issues with performance satisfaction due to a high perfectionism urge. The athletes were tested on different psychological variables such as coping skills and competitive anxiety scale for case one athlete and athlete's performance satisfaction scale was used for case two athlete. An eight-week MAC-based treatment plan was developed and the training sessions were administered accordingly. The scores obtained post-treatment suggested that MAC training successfully helped the athletes improve their psychologically weaker areas by providing insight into themselves which eventually leads to positive growth in psychological health and wellbeing.

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Mindfulness, coping skills, performance satisfaction, competitive anxiety.

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Intellectual disability (ID) is characterized by significant limitations in both intellectual functioning and adaptive behaviour, affecting everyday social and practical skills. Individuals with intellectual disabilities often face challenges in communication, social interaction, and emotional regulation, which can hinder their ability to participate fully in daily life. Traditional therapeutic approaches may not always address the unique needs of this population, necessitating alternative methods that can bridge these gaps effectively. Dance Movement Therapy (DMT) emerges as a promising intervention that harnesses the power of movement and dance to facilitate emotional, cognitive, and social integration. Unlike conventional therapies, DMT emphasizes nonverbal communication, making it particularly suitable for individuals with limited verbal skills. By using the body as a primary mode of expression, DMT offers a creative and engaging way for individuals with intellectual disabilities to explore and articulate their emotions, develop social connections, and enhance their overall well-being.

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Intellectual Disability: Dance movement therapy

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Economics and psychology are combined in behavioral finance to explain why investors occasionally behave irrationally in the financial markets. Behavioral finance acknowledges that investors can be swayed by biases and emotions, in contrast to classical finance theories which presume rationality. This study looks at how investor behavior is influenced by emotions such as greed and fear, following the herd, fear of losing money, and overconfidence. The research investigates how biases affect asset pricing, investments, and market efficiency by looking at case studies and literature. The research also looks at actions, rules, and investor education as means of lessening these biases.

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Investor Psychology, Decision-making, Behavioral Finance, Mental Disparities, and Market Anomalies.

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Crop wastage as a result of diseases is a critical issue, increasing food costs and leading to enormous losses for farmers, hence making agriculture a high-risk profession. Therefore, PLD detection is relevant to the enhancement of food production and security. PLD detection is one of the growing interdisciplinary fields combining artificial intelligence and agricultural science; it has relatively been improved with the advent of transfer learning and deep learning. At the heart of each of these advancements has been access to meaningful datasets. It reviews some of the popular datasets used in PLD detection such as PlantVillage, PDDB, XDB, NLB, LWDCD2020, PDD271, and PlantDoc. This review has identified strengths and weaknesses associated with these datasets. Highlighting issues such as class imbalance, unrealistic laboratory conditions, and variability in data collection methods. Key papers on this topic are identified to show how machine learning and deep learning models have evolved in detecting PLDs. Future research may include data augmentation methods using GANs and the creation of a standardized data collection procedure. It will therefore help in raising the research community's awareness of the status of PLD datasets, underline continuous improvement for better accuracy and reliability in AI-based PLD detection models, and finally aid in sustainable agriculture and food security.

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Plant Leaf Disease, PLD Data sets, CNN, and Deep Learning

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Sign language serves as a vital mode of communication for individuals with hearing impairments, enabling them to interact with others and access information in their daily lives. However, accessing digital information, particularly textual content, poses a significant challenge for deaf individuals who primarily communicate using sign language. In this paper, we propose a novel approach for Sign Language-Based Information Retrieval (SLBIR) tailored specifically for deaf individuals. The proposed system utilizes computer vision and natural language processing techniques to bridge the communication gap between sign language users and digital information resources. The SLBIR system consists of several key components, including sign language recognition, information retrieval, and user interface design.

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Sign language, information retrieval, computer vision, natural language processing, accessibility, deaf individuals.

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Employee attrition, the phenomenon of employees leaving a company, poses significant challenges for organizations, including loss of talent, increased recruitment costs, and decreased productivity. This paper gives an understanding of employee attrition. The main purpose of this paper is to give maximum accuracy as possible. Which is being done by using Random Forest algorithm. The algorithms such as KNN, decision tree and SVM are used. The main purpose is to show how Random Forest which gives better accuracy than ANN. The data set used is of IBM employee attrition. The accuracy of Random Forest algorithm is 95.74 %. Which is the highest of any other algorithms.

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Employee attrition, Decision tree, machine learning, K-Nearest Neighbors(KNN), Support vector machines(SVM), Random Forest

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Kidney stone disease presents a significant healthcare challenge globally, necessitating precise and timely detection for effective management and treatment. Recently, the integration of artificial intelligence (AI) techniques has shown promise in enhancing diagnostic accuracy and efficiency. However, the lack of interpretability in conventional AI models often impedes their adoption in critical medical tasks. This study advocates for the use of Explainable Artificial Intelligence (XAI) methodologies to improve the detection of kidney stones. By utilizing XAI techniques such as rule-based systems, decision trees, and model-agnostic approaches like LIME (Local Interpretable Model-agnostic Explanations) and SHAP (Shapley Additive Explanations), the goal is to provide clinicians with transparent insights into the AI models' decision-making processes. The proposed XAI framework aims to deepen the understanding of the features and patterns that drive the classification of kidney stone presence, thereby increasing trust and acceptance among medical practitioners. Additionally, elucidating the rationale behind AI predictions allows clinicians to validate and refine the model's performance, leading to improved diagnostic accuracy and patient care. Through comprehensive evaluation using realworld kidney stone datasets, this study demonstrates the efficacy and interpretability of the XAI-driven approach in detecting kidney stones. The findings highlight the importance of transparency and interpretability in AI-based medical systems, fostering trust and collaboration between AI technology and healthcare professionals. Ultimately, integrating explainable AI in kidney stone detection promises to advance diagnostic capabilities and enhance patient outcomes in urology.

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Artificial intelligence (AI); explainable AI (XAI); deep learning (DL); convolutional neural network (CNN)

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Bharathanatyam, an Indian classical dance form from South India, is celebrated for its intricate footwork, elegant movements, expressive gestures, and profound spiritual and philosophical foundation. Among its myriad of elements, Bhedas, literally meaning variations, play a pivotal role in conveying the narrative and emotional essence of a performance. It enhances the technique, expressions, and overall aesthetic appeal. Bhedas refers to the different positions and movements of various body parts are crucial for illustrating symbolic meanings. The concept is deeply embedded in the history of Bharatanatyam. The N??ya Sh?stra, attributed to the sage Bharathamuni, is the earliest known text that categorises and describes the various Bhedas over centuries. These movements have been preserved and refined by practitioners and scholars. The Bhedas are not merely physical movements; they carry allegories and are often used to depict various gods, sentiments, and stories from Hindu mythology. As Dr Padmasubhramanian notes, "Bhedas are the language of the feet, which convey the emotions and mood of the dance."

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THE IMPORTANCE AND SIGNIFICANCE OF BHEDAS IN BHARATANATYAM ACCORDING TO N??YA SH?STRA

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??????? ?? ????? ????????? ?? ?????????? ?? ??? ?? ??????? ?? ???? ??????? ??? ????? ?? ?????? ???? ?? ?????? ?? ??? ????????? ?????? ?? ???? ??? ?????? ?? ?????? ???????-???? ??? ?? ?? ????? ?? ????? ??? ??????? ?????? ?????? ?? ???? ???? ??? ????????? ????? ????? ?? ???????? ???????? ??? ???? ???, ???? ???? ?? ?? ???????? ??? ??????? ????????? ?? ???? ????? ???? ??? ???? ?? ?????? ?? ?????? ?? ???? ??? ??? ??? ??????? ?????? ?? ????? ???? ??? ?? ?? ???? ??????? ?????? ?????? ??? ???? ?? ??? ????? ?? ???? ???? ??? ???? ??? ??? ?? ??? ???? ?? ??? ?? ???? ????? ??? ???????? ??? ??????? ?????? ??? ?? ?? ????????? ?? ????? ?? ?????? ???? ??? ??????? ?????? ???????? ?? ?????? ?? ?????????? ?????? ?? ?????????? ?? ???-??? ???????? ?????? ?? ?????? ?? ????? ???? ????? ??? ???? ??? ???? ???? ?? ???????????? ?? ??????? ??? ?????? ???? ???? ????? ?? ?????? ???? ??? ???? ???? ?????? ?? ?????? ?? ?????? ??, ????? ?? ???? ?? ?????? ???? 15-29 ???? ?? ??? ???? ?? ?????? ??? ?? ???????? ??? ??? 27.5 ??????? ??? ?? ?????? ?? ???????? ?????? ??? ?? ????????? ?? ???? ???????? ??? ??????? ???? ?????? ?? ??? ?? ?????? ?????????? ???? ?? ???? ???????? ??? ????? ?? ????? ?? ????? ???????? ???? ????? ?????? ?? ?????? ???? ??? ?? ???? ???????????? ?? ????? ?????? ??? ??? ?? ???

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????????? ?? ???? ???????? ??? ?????? ??? ?????? ?? ??????

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This research was carried out to ascertain the impact of Multimedia and Hypermedia of students' academic achievement on basic electricity technology subjects in Oyo State Government Technical Colleges, Nigeria. Quasi experimental design involving pretest, posttest and non-randomized comparison group was used for the study. Two research questions and two hypotheses were raised to guide the study. A total of one hundred (100) final year students of basic electricity in electrical and electronic Department from the five Oyo State Government Technical Colleges constitute the Population of the study. Basic Electricity Achievement Test (BEAT) with 4o test items involving application of multimedia and hypermedia resources was used for the instrument for data collection. The instrument was subjected to face and content validity by ICT experts in Emmanuel Alayande University of Education ICT Centre. The reliability of the instrument was determined using Pearson Product Moment Correlation to obtain 0.85, while the Kuder- Richarddson (K-R20) formular was used to determine the internal consistency and the result obtained was 0.78 as pilot study conducted in two of Osun State Technical Colleges Mean and Standard Deviation were used to answer the research questions while the Analysis of Covariance (ANCOVA) was employed to test the hypotheses that guided the study. The findings from the study revealed that multimedia and hypermedia instructions were effective in enhancing students' academic achievement of the students in basic electricity. The study findings was found out to be effective and reliable as there was a significant difference between the main effects of gender (male and female) on students 'academic achievement of the students in basic electricity. The study recommended for the adoption of multimedia and hypermedia instructional resources, also advocating for training and retraining of teachers and students on effective utilization of multimedia and hypermedia instructional resources.

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Multimedia Instruction, Hypermedia Instruction, Basic Electricity, Technical Colleges, Academic Achievement

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Human resources are the most critical asset in any organization, especially in the labor-intensive Indian Railways (IR). With a workforce of nearly 1.5 million, Indian Railways stands as one of the largest employers globally. To achieve optimal performance from this vast workforce, it is essential to maintain high motivation levels and a stress-free environment. Therefore, aligning job requirements with the appropriate skill development through adequate training facilities is crucial. This study explores pertinent questions such as the challenges Indian Railways face in managing their human resources and the extent to which employees are satisfied with the human resource management practices.

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Human Resource Practices, Satisfaction, North Central Railways, Central Railways.

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"?????? ????? ?????? ??????" ??????? ????? ?? ?? ???????? ????????? ???? ??? ????? ????. ????????, ??????????? ????? ??????? ??????????? ??????????? ???????? ??????? ????? ????, ?? ?????? ?????????? ?????? ??????????? ????? ????. ?.?. 1657 ???? ??????? ?????? ?????? ?????? ????????? ??????? ?????? ????? ??????. ??????????? ????? ??????????? ????, ??????????? ??????, ??????, ????????? ?? ???????????? ????. ?????? ???? ?????, ?? ??? ??????? ?????? ?????????? ???? ??? ????. ????????? ?? ??????? ????? ?????????? ???? ???? ????. ?????? ??? ???????? ????? ????? ???????????? ?????????????? ??????? (??????) ???? ?????? ???? ???. ????? ??????, ??????, ????????? ?? ??????? ?? ??????????? ??????? ???? ???????? ????? ???? ??? ??????. ?? ???????????? ???????????? ???????????? ?????????? ?? ???? ????? ??? ????. ??? ???????????? ????????????? ?????????? ??????? ??????, ?????? ????? ???????? ????? ?????? ???????? ?????? ???????????? ????????? ???. ???????? 24 ??????? 1657 ???? ??????, ??????, ??? ?? ?????? ???? ???????? ????? ???? ???? ???? ???????? ??????? ???. ???????? 24 ??????? ?? ???? '????? ????? ???' ????? '?????? ?????? ???' ?????? ????? ???? ????.

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???????? ???????? ??????? : ?? ???????? ??????

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The Dew Breaker is a story of burdened past, turmoil, physical brutality and psychological terror. It addresses the conditions of traumatic experience the conflict of internal memory between the tormentor and survivor. In the novel both the victim, and tormentor conceal within themselves the past, resulted as the aftermath experience of trauma, which devastated both the physical and emotional wellbeing of the characters.

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Trauma, Agony, Psychological terror, Violence and History

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Bishwayoner Joyare Samaj O Sanaskritir Abasthan

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Bishwayoner Joyare Samaj O Sanaskritir Abasthan

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