Volume 13 | Issue 5 |

 Abstract

Post-activation potentiation (PAP) describes the acute enhancement of muscle performance following a high- or moderate-intensity conditioning activity (CA). This phenomenon has gained prominence in both athletic and rehabilitative domains for its ability to improve strength, power, and agility. Agility defined as a rapid, whole-body movement involving a change in velocity or direction in response to a stimulus is crucial in many sports. This review explores the therapeutic and practical relevance of PAP for agility performance, synthesizing evidence from recent studies to discuss physiological mechanisms, training variables, individual responses, and implementation strategies across competitive and clinical contexts.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Post Activation Potentiation, Agility, Conditioning Activity, Rehabilitation, Performance Enhancement.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Properties of divisor functions ?k (n), defined as sums of k-th powers of all divisors of n, are studied through the analysis of Ramanujan's deferential equations. This system of three deferential equations is singular at x = 0. Solution techniques suitable to tackle this singularity are developed and the problem is transformed into an analysis of a dynamical system. Number theoretical consequences of the presented dynamical system analysis are then discussed, including recursive formulas for divisor functions.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Ramanujan deferential equations, Singular equations, Eisenstein series.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The Harvestify project is an innovative web-based agricultural support system designed to revolutionize traditional farming practices. Its primary objective is to harness the power of machine learning and data analysis to provide farmers with personalized crop recommendations, efficient fertilizer management, and real-time disease detection. By extending the benefits of data-driven decision-making to farmers, Harvestify bridges the gap between traditional agriculture and modern technology, ensuring that farmers can access essential agricultural insights and services from their trusted local shops. This adaptable system can be tailored to the needs of both local farms and multinational agricultural retailers, safeguarding the vitality of the farming community and minimizing the exodus of customers to popular online agricultural platforms.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

HARVESTIFY, MACHINE LEARNING APPICATIONS, ANALYSING HISTORICAL DISEASE DATA, REAL-TIME DISEASE DETECTION, DEEP LEARNING IMAGING, DATA-DRIVEN DECISION-MAKING.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

This study focuses on the formulation and evaluation of an herbal ointment using Ocimum sanctum (Tulsi) extract. Tulsi is known for its antimicrobial, anti-inflammatory, and wound-healing properties. A simple ointment base was prepared incorporating Tulsi leaf extract. The formulation was evaluated for physical parameters such as color, texture, spreadability, pH, and stability. Antibacterial activity was tested against Staphylococcus aureus and Escherichia coli. The ointment showed good spreadability and a smooth texture. It maintained stability over four weeks under different storage conditions. The antibacterial results confirmed effective microbial inhibition. The study concludes that Tulsi-based ointment can be a promising herbal topical agent for skin infections and wound healing.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Tulsi (Ocimum sanctum), Herbal ointment, Formulation, Evaluation, Antibacterial activity, Wound healing, Topical preparation, Phytotherapy, Natural medicine, Ointment base.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The changing role of women in politics is examined in this paper, along with their involvement, difficulties, and influence on global political environments. Women have made great progress over the years in dismantling gender stereotypes and participating in local, national, and worldwide activism, leadership, and policymaking. Nevertheless, despite progress, men still control the political arena, and systemic obstacles that prevent women from participating in politics include gender discrimination, unequal access to resources, and cultural norms. The study explores the variables that affect women's political engagement, such as socioeconomic status, education, and the impact of social movements. Important case studies of female leaders who have overcome these obstacles to effect change in their particular areas are also highlighted. The research attempts to give a thorough grasp of the advancements made and the challenges that remain in the pursuit of gender equality in politics by examining trends, laws, and international movements.

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Women in politics, gender equality, political participation, leadership, activism, systemic barriers, gender discrimination, unequal access to resources, cultural norms, socioeconomic status, education, social movements, policymaking, representation, female leaders, gender stereotypes, global political environment, international movements, legal frameworks, case studies.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

DEM, SCS-CN, ARCGIS, UBB, USGS, Hydrological Modelling, WRIS, Peak Discharge.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Abstract The environment of learning arena is undergoing a noteworthy transformation, driven by technological advancement, shifting societal needs, and evolving need based pedagogies both in practical and theoretical. This change has directly changed paradigm shift in teaching and learning eco-system across the globe. This helps making education more handy, engaging, and efficient. One of the notable trend is the rise of personalize learning. With advent artificial intelligence (AI), Virtual Reality (VR), Augmented Reality (AR) and machine learning (ML), education can now be personalized to individual requirements, abilities, and education style. the present study highlights and made an honest attempt to identify the impact of gamification as a ground-breaking approach to enhance students' engagement, motivation and learning outcomes. By integrating game like elements into educational pedagogies settings, the research aims to provide insights into how gamification can craft learning supplementary interactive and helpful especially in promoting lively participation and improving knowledge retention among the participant.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Keywords: Gamification, Artificail Intelligence (AI), Vitrual Reality (VR), Machine Learning (ML),

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Skin conditions pose a substantial global health concern, especially in areas where there is a scarcity of dermatological professionals. This paper introduces Dermascan AI, a system that can diagnose skin conditions without an internet connection, using deep learning techniques based on convolutional neural networks (CNNs). Our efficientnetb0-based model achieves 87.2% validation accuracy across nine common skin diseases, enhanced by clinical decision rules (ABCDE criteria for melanoma) and personalized treatment recommendations based on Fitz Patrick skin types and geographic climate data. The system combines a user-friendly web interface with an AI assistant for providing explanations, resulting in a significant reduction of diagnostic waiting times by 60% during pilot testing. Comparative analysis reveals that the proposed model outperforms traditional DenseNet121 models by 6.2% in terms of accuracy, while still being computationally efficient for deployment on low-resource devices. The solution tackles significant shortcomings in dermatological care, such as bias reduction, real-time processing, and scalability, establishing a standard for ai-assisted dermatological triage.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Artificial Intelligence (AI), Dermatology ,Deep Learning, Skin Disease Diagnosis, EfficientNetB0 , Convolutional Neural Networks (CNN), Medical Image Analysis

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Pregnancy is a critical phase in a woman's life, particularly for primigravida women who are experiencing it for the first time. Lack of awareness about warning signs during pregnancy can lead to delayed interventions and adverse maternal or fetal outcomes. This study aimed to assess the baseline knowledge level of primigravida women regarding the warning signs in pregnancy and to evaluate the effectiveness of an information booklet in improving their understanding. A pre-experimental one-group pre-test and post-test design was adopted. A structured questionnaire was administered to 60 primigravida women attending antenatal clinics in a selected hospital. After the pre-test, participants were provided with an information booklet detailing common obstetric warning signs, followed by a post-test after one week. The findings revealed a significant increase in knowledge scores post-intervention, indicating the effectiveness of the information booklet. This study underscores the importance of educational tools in promoting maternal health awareness and early detection of complications among first-time pregnant women.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Primigravida, warning signs in pregnancy, maternal health, information booklet, antenatal care, pregnancy education.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Empowering non-technical users and SMEs to create intelligent chatbots without writing code is becoming increasingly essential in today's AI-driven ecosystem. To address this need, we present a no-code platform that allows users to design, customize, and deploy conversational agents through an intuitive drag-and-drop interface. The platform is built using modern frameworks such as LangChain and LlamaIndex and integrates seamlessly with locally hosted LLMs via Ollama, including support for models like LLaMA 3.2. Users can visually construct workflows using components like Prompt Templates and LLM Chains, configure parameters such as temperature and model endpoints, and execute chains without dealing with backend complexities. A sample chatflow demonstrates the system's modularity and ease of use, validating the platform's capability for rapid prototyping and privacy-conscious deployment. Functional testing and interaction-based evaluation affirm the platform's goal of democratizing chatbot development, while also laying the foundation for future extensions such as multimodal support, analytics dashboards, and enhanced model integration

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

chatbot, large language models (LLMs), LangChain, Ollama

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Creative Commons Attribution 4.0 and The Open Definition