Volume 13 | Issue 9 |

 Abstract

Mathematical word problems (MWPs) are a persistent challenge in education due to their dual requirement for natural language understanding and symbolic reasoning. Traditional automated solvers often provide static, symbol-based answers, limiting accessibility for learners who prefer visual or auditory approaches. Recent developments in deep learning and multi-modal educational technologies have improved solver accuracy and engagement but typically require extensive datasets or high-end hardware, making them impractical for widespread classroom use. This paper introduces the Math visualization Generator (MVG), a Python-driven system integrating natural language processing, structured reasoning, and dynamic visualization. MVG delivers multimodal explanations by generating either stepwise textual breakdowns or synchronized video-audio solutions, adapting to diverse learner needs. Tested across algebraic, geometric, and arithmetic MWPs, MVG achieves over 90% accuracy and significantly increases engagement among learners. Its lightweight, flexible design positions MVG as an effective tool bridging the gap between advanced computational reasoning and practical, accessible math instruction for classrooms and independent study

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 Keywords

Mathematical word problems, natural language understanding, symbolic reasoning, multi-modal education, Math Visualization Generator, dynamic visualization, multimodal explanations, accessible math instruction

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Creative Commons Attribution 4.0 and The Open Definition

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The distributed generation (DG) generates electrical power in the distribution networks or on the network user side. In distribution networks, DGs have significant role to perform for reduction of real power and enhancing the stability in voltage of power system. Distribution companies find that it is an effective way of minimizing losses, handling the great cost of energy that is not supplied or preventing or delaying the expansion of the network. But, precise positioning and sizing of DGs in network is the crucial problem because in case the position of DGs is not appropriate, then the increased size can cause a big risk and loss for system. The installations of DG require special attention and studies to enhance the reliability and performance of the system. When the DGs are placed optimally, it can minimize the cost of operation and network losses and enhances the power quality. In order to determine the optimum size and location of DGs, various approaches have been introduced in the literature. Thus, various approaches were proposed till now for optimal placement and sizing of DGs, however, they do not provide the optimal results for voltage stability enhancement and power loss reduction. Therefore, in proposed work, three approaches are presented i.e. PSO-Sim, PSO and GA, for the optimal placement and sizing of DG units. These approaches are proposed with the intention to improve the voltage stability and minimize power loss by optimal placement of DGs. The implementation of these approaches is performed in IEEE-33 bus test system. The performance of the proposed approaches is analyzed in terms of three different parameters i.e. VSI, voltage profile and power losses, and the obtained results demonstrates the efficiency of GA approach over other two proposed approaches.

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 Keywords

PSO, MATLAB, Voltage Stability, Load Flow, Distribution Generation, Artificial Neural Networks

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Social Work is an Nobel Profession. Social work profession based on scientific methods and practice . at the same time Social work education mainly concerned to knowledge, skills and attitude. Social work profession deals with individual, group & community related identify their needs and problems and tried to resolve it through by scientific methods and enable them for better life. While working as a professional social worker has ethical issues, challenges and opportunities. when deal with clients, group and whole community. In today scenario, social work profession or training with numerous ethical and legal challenges, particularly around confidentiality, conflicts of interest & maintaining professional boundaries. Some of the challenges are need to balance with client freedom and social worker duty. While working with client to keep moral, cultural competence, data privacy and online digital interactions. Some issues that have both ethical & legal components include access to medical care, informed consent, confidentiality and exception to confidentiality . while opportunities developing strong ethical decision making framework, enhancing practical experience, and fostering supportive environment of learning.

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 Keywords

Social Work Profession, Ethical Issues & Challenges, Ethical Opportunities.

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The increasing demand for reliable electrical energy necessitates fault-free operation of power systems. Power transformer protective relays play a crucial role in mitigating unwanted outages. This paper proposes the application of artificial neural networks (ANNs) for detecting and classifying faults in power transformers, leveraging their ability to mimic human knowledge and automate complex tasks. A comprehensive survey of soft computing approaches for transformer fault location is presented, highlighting the limitations of conventional techniques and the potential benefits of intelligent solutions.

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TransformerFaultLocation,ArtificialNeuralNetworks,Softcomputing, Artificial Intelligence, Gradient, KNN, Feature extraction and Accuracy

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This study explores consumer perceptions towards electric vehicle adoption and its contribution to sustainable transportation. A quantitative survey was conducted across diverse urban and semi-urban regions, focusing on factors such as government policy support, economic feasibility and environmental awareness. The results indicate that government initiatives including supporting policies and infrastructure development are widely viewed as essential drivers of electric vehicle adoption. Consumer awareness emerged as a key influencer, with most respondents recognizing the importance of being informed about the benefits of green transportation. While attitudes towards affordability were generally positive, there were noticeable differences in how well participants understood the long-term advantages of electric vehicles. Stimulatingly, cost related concerns did not appear to significantly prevent purchase intention. The study highlights the critical role of awareness campaigns and consistent government efforts in fostering a favorable environment for electric mobility, ultimately supporting broader sustainable goals.

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 Keywords

Electric Vehicles Consumer Perceptions, Environmental Awareness, Public Attitude, Transportation Sustainability

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Creative Commons Attribution 4.0 and The Open Definition

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The rapid evolution of digital financial markets--driven by algorithmic trading, cryptocurrencies, NFTs, and social-media-driven investing--has created profound challenges for traditional insider trading regulations. Legal frameworks such as India's SEBI (Prohibition of Insider Trading) Regulations, 2015 (as amended in December 2024), the U.S. theories of classical and misappropriation insider trading, and the EU/UK Market Abuse Regulation (MAR) were primarily designed for conventional securities markets. These frameworks now face significant stress in addressing new forms of material non-public information (MNPI), including digital data exhaust, algorithmic signals, and influencer-driven financial communication. This paper investigates whether existing PIT/MAR regimes adequately address insider trading risks in these digital contexts and explores the regulatory gaps that emerge when social media "finfluencers," algorithmic pipelines, and alternative data sources blur the line between public and non-public information. The study makes three key contributions: first, it provides a cross-jurisdictional synthesis of insider trading law in India, the United States, and the European Union; second, it integrates legal analysis with market microstructure insights on algorithmic trading, high-speed data flows, and crypto-asset markets; and third, it develops a compliance blueprint for market participants that balances deterrence, innovation, and fairness. By mapping how digital information becomes "inside information" within algorithmic pipelines, this paper advances a more nuanced understanding of market integrity in the digital age and proposes regulatory strategies that can better safeguard investor trust while enabling technological progress.

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 Keywords

Insider Trading; Market Abuse Regulation (MAR); SEBI PIT Regulations; Algorithmic Trading;

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Adolescent girls are more at risk of experiencing anemia compared to adolescent boys because adolescent girls generally experience menstruation which causes a decrease in hemoglobin levels. The results of the Riskesdas prevalence of anemia in 2018 were 84.6% of young women experiencing anemia. According to its chemical composition, dragon fruit contains minerals, iron and vitamin C which have the effect of preventing anemia. Vitamin C, folic acid, and protein are the main factors that promote iron absorption. Vitamin C increases iron absorption up to four times. Young coconut contains various ingredients that can help in blood formation, namely folic acid which is the main component for the formation of cell nuclei, magnesium, copper, zinc, vitamin C and vitamin B complex. This research method is quasi-experimental by planning 2 groups, namely the treatment group and the control group. The sample consisted of 40 young women at SMP Negeri 3 Bitung who were selected through Stratified Random Sampling. Data analysis used a parametric test, namely the paired T-test, where if the p value < ? (0.05), it was concluded that there was an effect of giving red dragon fruit pudding with young coconut on the hemoglobin levels of adolescent girls. The results of this study were that the treatment group had an influence on Hb levels in young women who experienced an increase in Hb levels of 1.04 g/dl compared to the control group. Based on the results of the data analysis test, the ? value was 0.000 < 0.05. So it can be concluded that there is an average difference between pre-test hemoglobin levels and post-test hemoglobin levels, which means that there is an influence of giving red dragon fruit pudding with young coconut on hemoglobin levels in young women at SMP Negeri 3 Bitung.

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Red Dragon Fruit, Young Coconut, Hemoglobin, Adolescent Girls.

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Education is one of the most powerful tools for promoting Women Empowerment at achieving gender equality. It enhance women knowledge, skills and self confidence enabling them to participate in full social, economic and political life. Access to education breaks cycle of poverty by improving women employment opportunities, health outcomes. Education and decision making power within household and communities. Moreover educated womens are more likely to advocate for their rights, challenges, discrimination practices and contribute to sustainable development. Despite significant progress worldwide many women particularly in developing countries still face barriers such as cultural, normal poverty early marriages and inadequate infrastructure that limit their access to quality education. Education and empowerment are closely linked as education can be a powerful tool for empowering. Individual s, communities and societies.

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Education, empowerment, opportunity, communities knowledge scholarships progress, program, scheme children school laws barriers, equality etc.

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Jalauka, a traditional Ayurvedic treatment, is widely recognized for its therapeutic efficacy in managing a variety of surgical diseases like wound healing, reducing inflammation, and preventing infection in post-surgical recovery. Derived from the use of medicinal leeches (Hirudo medicinalis). The application of Jalauka in surgical diseases primarily focuses on improving blood circulation, detoxifying the body, and enhancing tissue regeneration, all of which are crucial for the healing process following surgical procedures. In surgical contexts, Jalauka is particularly beneficial in managing conditions like venous insufficiency, chronic wounds, abscesses, and other post-surgical complications. The leech's saliva contains bioactive compounds that aid in the prevention of thrombosis, facilitate microcirculation, and promote the clearance of metabolic waste products. This paper explores the scientific underpinnings of Jalauka therapy in the management of surgical diseases, highlighting its historical significance, modern-day applications, and potential benefits Furthermore, we discuss the integration of Jalauka therapy into modern surgical practices, emphasizing its safe and effective use in enhancing surgical recovery. In conclusion, Jalauka therapy holds great promise as an adjunctive treatment in surgical medicine. Its multifaceted therapeutic benefits make it an invaluable tool in the management of surgical diseases

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Rakt mokshan, Jalaukavacharana, hirudothearpy.

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This research looks at how well a new type of composite material works. It is made by combining natural jute fibers with strongglass fibers. The goal is to create a material that is both strong and environmentally friendly. Different ways of mixing the fibers and treating them with heat and radiation were tested. The results showed that the material became stronger, could bend better, resisted impacts more, and did not soak up much water or crack easily. The best results came fromsamples that had glass fibers on the outside. In the end, this mix of jute and glass fibers is a good, low-cost option for making strong and lightweight building materials.

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Natural JuteFibers Glass Fibers Hybrid composites Durability Strength Compressive strength flexural

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