Volume 12 | Issue 6 |

 Abstract

Mental Health and Woman empowerment share the same platform of their objectives. They are not only concerned with the enhancement of performance and wellbeing. A healthy women can play in the important role of the country. Health is milestone of women empowerment because it enables them to response to the challenges and change their life so that we can't neglect the importance of health in reference to women empowerment India poised to becoming superpower to recent upcoming years. women health in India has been a need of the hour as health is a foundation stone for the empowerment of women. Mental health also brings a reduction in inequalities and functioning as a means of improving their status within the family and develops the concept of participation.

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 Keywords

Mental health, Milestone, Women Empowerment.

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Creative Commons Attribution 4.0 and The Open Definition

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Novel approaches are required in defence applications due to the increasing demand for real-time threat identification. The design and construction of a Violent Action Recognition (VAR) system coupled with a drone platform are examined in this research. We provide a summary of this technology, highlighting its potential to enhance defence personnel's situational awareness and force protection. The high-resolution camera, on-board processing unit, and drone platform are among the hardware parts of the system that are described in detail in the study. We go over the software architecture, emphasizing the machine learning-based core VAR algorithm, pre-processing, and image acquisition. The article discusses the fabrication considerations involved in incorporating these components into a working drone system. The potential advantages of this drone system with VAR equipment are highlighted in the study. Improved threat detection skills are one of these; they enable quicker reaction times and may even avoid casualties. Defence forces' operational efficiency and decision-making can be improved by using VAR drones, which provide a comprehensive and real-time perspective of a scenario. The final section of this analysis emphasizes the continued research and development needed for enhanced VAR technology. Careful attention should also be paid to ethical issues pertaining to data protection and the responsible usage of autonomous systems. VAR technology has the potential to completely transform drone-based surveillance in the defence industry, creating a more effective and safe operating environment as it advances.

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 Keywords

Violent Action Recognition (VAR), Drone Technology, Situational Awareness, Machine Learning, Image Processing, Drone Platform, High-Resolution Camera, On-board Processing Unit, Software Architecture, Image Acquisition, Pre-processing, Threat Detection, Force Protection, Operational Efficiency.

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Development of some novel value added products were undertaken from the fresh-dried mushroom [Agaricus bisporus]. In this context, an attempt was made to evaluate antibacterial, antioxidant and cytotoxic activity of ethanolic extract of Agaricus bisporus. Dried coarse powder of mushroom was subjected to extraction with ethanol by cold maceration and then evaporated using electric water bath. Stock solution of the extract was prepared using distilled water. Preliminary phytochemical screening was carried out. The extract was evaluated for Antibacterial activity by agar well diffusion method, antioxidant activity by DPPH assay and cytotoxicity study by BSL assay. And along with these studies, attempt was made to prepare mushroom coffee.

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Agarius bisporus, 0.2 mM 2, 2-diphenyl-1-picrylhydrazyl (DPPH), Brine Shrimp Lethality assay (BSL), agar well diffusion, and Mushroom coffee.

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Creative Commons Attribution 4.0 and The Open Definition

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The use of Non-Fungible Tokens (NFTs) in online markets can help solve several challenges related to buying and selling products online, especially luxury or high-end items. These challenges often revolve around concerns about authenticity. Digital warranties provided through NFTs can offer customers greater confidence while making purchases by providing information about the item's history, warranty, and other details. When a customer transacts using our application, the NFTs associated with the purchased item are sent to their account. Asset tokenization, where NFTs represent trading assets, can help combat the proliferation of fake goods. By implementing digital warranties, brands can better protect against counterfeit products. Consumers may be more inclined to choose authentic products if digital warranties become a standard practice in the industry, signaling that products without an NFT-backed guarantee are likely not genuine. Some merchants may request assurances from franchises of brands, allowing retailers to source certified imports from other countries even without the explicit consent of the brand. Brands can also collaborate to adopt digital warranty solutions and address counterfeiting issues in the industry. However, widespread adoption of this solution within the broader blockchain community is still lacking, and challenges persist despite the significant potential of NFTs, which are experiencing rapid growth in the marketplace

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NFT, Blockchain, Tokens, Warranty

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Creative Commons Attribution 4.0 and The Open Definition

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This paper explores the application of advanced Reinforcement Learning (RL) techniques in developing intelligent game-playing AI. By implementing Deep Q-Networks (DQN) and other Deep Reinforcement Learning (DRL) methods, this research aims to enhance AI proficiency across various gaming environments, including 2048, chess, and a simulated taxi driver scenario. We highlight key objectives, methodologies, and outcomes, while also addressing the challenges and proposing future directions in the field of RL for gaming AI.

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Reinforcement Learning, Q-learning, Deep Q-Networks, Game AI, Machine Learning.

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Creative Commons Attribution 4.0 and The Open Definition

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Abstract : The formulation and evaluation of herbal face cream aim to harness the therapeutic properties of natural ingredients for skincare. This study focuses on developing a face cream that combines the benefits of various herbal extract known for their antioxidant,anti-inflammatory and moisturizing properties.Ingredients such as Aloevera ,amla ,cucumber peel were selected for their well -documented skincare benefits. Aloe vera , amla , cucumber peel are medicinal plant they are used as traditionally from ancient year in various herbal medicines such Ayurveda, Siddha and Homoeopathic. Cosmetics and some medicinal products are made up from the mucilaginous tissue in the centre of aloe vera leaf and called aloe vera gel. Aloe vera gel contains no antraquinone. Which are responsible for the strong laxative affects of aloes. However ,total leaf extract may contain Antraquinone. Aloe vera contain active constituents like Vitamines, Enzymes, Minerals ,Sugars,Saponis,Amino acids .Amla contain Amino acid like glutamic acid , proline, ans Asparic acids , Protein, Minerals,etc. Cucumber peel are rich in fiber and contains minerals like magnesium, Potassium and silica. The silica is an essential components to keep your muscles,bones and tendons healthy. It also hydrates our skin, improves complexion and vision.

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Alovera, amla , cucumber peels , face cream , evaluation

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Creative Commons Attribution 4.0 and The Open Definition

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The creation of poly herbal formulations aimed at immune improvement is a result of the growing interest worldwide in natural products for improving immunity. Our goal in this study was to create and assess a poly herbal drink that would increase immunity by using extracts from specific medicinal herbs that have been shown to have immune-modulating qualities.

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Immunity booster, polyherbal, Immuni-modulatory, in-vivo, synergistic.

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Creative Commons Attribution 4.0 and The Open Definition

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- In this research, we present an innovative Accident Detection and Alert System that combines Deep Learning (DL) and Edge Computing technologies. The system is designed to process live video feeds from surveillance cameras using DL models to detect traffic accidents in real-time. By leveraging edge computing, the system performs data processing near the data source, which significantly reduces latency and enables faster response times. Upon detecting an accident, the system autonomously alerts emergency services, thereby improving the efficiency of rescue operations. This seamless integration of DL and edge computing enhances the accuracy and speed of accident detection, which is vital for reducing the severity of injuries and saving lives on the road.

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 Keywords

Edge Computing, Deep learning, CCTV, Video processing, CNN

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ABSTRACT The present investigation was carried out at Banana Research Station, Nanded. "Studies on plant geometry and levels of potassium on growth, yield and quality of banana (Musa acuminata L.)", for two trial years. In the present experiment, there were four main treatments of plant density, viz. D1 (1.5 m x 1.2 m), D2 (1.5 m x 1.5 m), D3 (1.5 m x 1.8 m) and D4 (1.5 m x 2.1 m), three sub- treatment of potassium levels, viz. K1 (100 g K2 O/plant), K2 (200 g K2O/plant), K3 (300 g K2O/plant) and thus comprising twelve treatment combinations. From the results obtained in the present investigation, it can be revealed that the vigorous vegetative growth in terms of plant height, were the highest in plants with plant density 1.5 m x 2.1 m followed by plant density 1.5 m x 1.8 m, while in case of different potassium levels the vegetative growth were the highest in plants with application of 300 g K2O/plant followed by 200 g K2O/plant. In interaction, the plant density 1.5 m x 2.1 m with combination of 300 g K2O/plant as well as 200 g K2O/plant showed the highest vegetative growth and number of leaves.

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 Keywords

banana, number of leaves, potassium, plant density

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Creative Commons Attribution 4.0 and The Open Definition

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This study explores the effect of relaxation exercises on secondary school students' mathematics examination accomplishment. A quasi-experimental design was employed, involving 40 students randomly in an experimental and control group. The experimental group participated in a structured program of relaxation exercises, including guided imagery, deep breathing, and progressive muscle relaxation, administered for 15 minutes daily for eight weeks. The control group continued with their regular mathematics curriculum without any additional interventions. Pre- and post-intervention assessments were conducted using standardized mathematics tests to measure the student's accomplishment in the subject. Results indicated a statistically significant improvement in the mathematical scores of students in the experimental group compared to those in the control group. Qualitative feedback from students suggested that the relaxation exercises reduced anxiety improved concentration, and enhanced performance. These findings suggest that relaxation techniques in the school routine can be a valuable strategy for improving students' academic outcomes in mathematics. Further research is recommended to explore relaxation exercises' long-term effects and potential applications across different subjects and educational contexts.

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 Keywords

Relaxation Exercises, Secondary Students, Mathematics, Accomplishment.

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Creative Commons Attribution 4.0 and The Open Definition