Volume 12 | Issue 7 |

 Abstract

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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