Volume 13 | Issue 6

 Abstract

This text explores the innovative potential and challenges of creating personalized video advertisements using Generative Adversarial Networks (GANs). GANs, an AI technology, generate data resembling real-world examples through the competitive learning of two neural networks: a generator and a discriminator. This allows marketers to produce high-quality, contextual video content tailored to individual consumer preferences and behaviors. Such an approach streamlines the creative process and provides insights into consumer behavior, supporting strategic decision-making. Personalized video advertising plays a crucial role in increasing consumer engagement and building brand loyalty. Generative AI, like GANs, contributes to automating and advancing the creation of this content. By collecting and analyzing data to understand user preferences, and then integrating these into video content, the relevance and effectiveness of advertisements are maximized. However, the creation of personalized ads using GANs involves ethical issues (e.g., privacy) and technical challenges (e.g., misinformation from AI hallucinations). Therefore, this text highlights the potential of GANs alongside the need for careful approaches and ethical governance to overcome these obstacles, illuminating the broader impact of this technology on the digital marketing field

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 Keywords

Generative Adversarial Networks (GANs), Personalized Video Advertising, Artificial Intelligence (AI), Digital Marketing

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The phenomenon of domestic violence is widely prevalent what has remained largely deceptive in public. Violence against women is very serious problem in worldwide. Violence may be in the form of domestic violence, sexual harassment, acid throwing, pre-natal sex determination etc. World's two third countries have outlawed domestic violence but in India mostly women are likely to experience physical and sexual violence by their husbands or their relatives. Main causes of domestic violence-male dominating society, lack of awareness of laws, less efforts to implement the existing laws, bureaucracy and fear. The Indian parliament enacted a bill to protect the women from domestic violence and it came into force in the year of 2005. i.e. "Protection of women from domestic violence Act, 2005." The post of protection officer was created to provide mechanism for the implementation of the Act. Any person who has reason to believe that domestic violence has taken place or is likely to take place can inform the protection officer. The primary function of the protection officer is to protect the victim from domestic violence and also serve as a liaison between the woman, police and the service provider. This paper highlights the role of protection officer in curbing domestic violence.

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Domestic Violence, Cruelty, Physical, economic abuse

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The manufacturing and industrial sectors have faced numerous challenges over the decades, including the availability of skilled labor, cybersecurity issues, and plant downtime due to asset failures. The traditional non-containerized environments used for building SCADA systems are becoming less effective in recent days to solve industrial challenges as they have issues with portability, scalability, security, stability, agility, responsiveness, and resource consumption. It will also become difficult in future to provide innovative solutions to industrial customers using traditional SCADA systems that use traditional non-containerized applications. The demand for the implementation of advanced technology to optimize industrial and manufacturing plants has always been high. With the advent of Industry 4.0 (the Fourth Industrial Revolution), these challenges are being addressed through the integration of advanced technologies such as IIoT, Cloud computing, Artificial Intelligence, Machine Learning, Containerization, and other digital innovations. Industry 4.0 enables the creation of smarter, more efficient solutions that enhance productivity and reduce costs, thereby ensuring business sustainability. The combination of industrial automation with Industry 4.0 technologies results in more reliable and powerful end-to-end automation solutions, allowing digital systems to make autonomous decisions and assisting workers in making faster, more informed choices. Additionally, Augmented Reality and Virtual Reality expand human capabilities to interact with machinery, providing greater control over assets. Containerization technologies such as Docker and Kubernetes further enhance the efficiency of application by enabling consistent and isolated environments for applications, ensuring seamless deployment and scalability. These advancements collectively help to overcome traditional industrial challenges faced by traditional industrial applications and drive the sector towards a more optimized and sustainable future.

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 Keywords

- SCADA, I4.0, Industry 4.0, Kubernetes, Docker, Containerization, Cloud Computing, Artificial Intelligence, Machine Learning, IIoT, Digital.

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 Abstract

Photographic service studios have been creating their own market niches and evolving at an arena of growing demand for good quality and personalized photography. Customers' satisfaction and loyalty at Glo Colour Labs Pvt. Ltd. were analyzed. Data collected from 150 customers were tested with tests such as T-Test, ANOVA, and Chi-Square. The results show that occupation, income, and residence have a significant effect on satisfaction, while age, gender, and marital status have very little effect on satisfaction. The marital status of individuals can affect their likelihood of becoming returning customers. Recommendations include customization of service packages, making areas more accessible for rural population. These will help build more satisfaction and retention. The findings will serve Glo Colour Labs in augmenting customer-oriented strategies aimed at sustained growth and competitiveness.

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Customer Satisfaction, Glo Colour Labs Pvt. Ltd., Photo Studio Services, Service Quality, Customer Loyalty

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Abstract This research analyses how to arrange and organise tiny dwellings for functionality and style. Smart designs that maximise space without being unpleasant or unsightly are needed as city living becomes tighter and more expensive. Researchers study strategies to increase storage, combine functional furnishings, and employ minimal design to keep houses organised and beautiful. The study suggests ways to build spacious, organised houses using real examples, industry data, and modern architecture. Van living works well with shelves, elevated beds, and wall-mounted storage to keep possessions off the floor. Sofas that fold into beds and dining tables that may be used as writing tables are also useful. The study also shows how harmony in design may make small spaces look bigger and more inviting. A consistent colour scheme, lighting, and cleanliness make the area feel open and harmonious. The study concluded that well-organised, fashionable compact dwellings reduce stress and improve well-being. This research shows that careful layout makes tiny apartments as functional and attractive as bigger ones. The article helps urban inhabitants, architects, and designers maximise space by suggesting ways to hang storage vertically, choose furniture that suits any arrangement, and coordinate all spaces. With these guidelines, any flat may be comfortable, functional, and attractive.

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Keywords: Small-space design, vertical storage, multifunctional furniture, sustainable materials, urban housing.

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This research is an attempt to explore the historical and philosophical complexities of state-building in Afghanistan, focusing on the enduring tension between centralising authority and the pluralistic tribal foundations of Afghan society. Rather than attributing state failure solely to weak institutions or foreign intervention, this study frames the Afghan state as a project historically constructed in friction with its societal foundations. From Ahmad Shah Abdali's confederative model, which balanced authority with tribal autonomy, to the more coercive centralisation efforts of Abdur Rahman Khan and Amanullah Khan, the Afghan state has persistently struggled to reconcile power with legitimacy. Successive regimes, whether the Marxist government's revolutionary reforms or the Taliban's rigid theocracy sought to overwrite local authority with ideologically driven state models. In doing so, they generated resistance not only because of their policies but because of their detachment from indigenous forms of governance, identity, and consent. These recurring failures raise a fundamental question at the heart of this research. The objective is to explore why centralised state-building in Afghanistan has remained historically unsustainable, arguing that durable political order cannot be forged in abstraction from the moral and social worlds of its people. By drawing on political theory and historical analysis, the research examines the broader assumptions behind modern statecraft, particularly the idea that sovereignty must be singular, top-down, and culturally neutral. It suggests, instead, that a more viable Afghan state could emerge from dialogical engagement with traditional structures and societal pluralism. In doing so, the research contributes to broader debates on postcolonial governance, legitimacy, and the ethics of political reconstruction in fractured societies.

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 Keywords

Tribe, State, confederative model, Centralisation, Fragmentation,

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In the current pursuit of sustainable and eco-friendly alternatives for textile functionalization, natural plant-derived agents are gaining significant interest. This study explores the use of Manilkara zapota (sapota) latex extract as a natural antimicrobial finishing agent for 100% cotton woven fabric. Latex was extracted using conventional methods and applied to the fabric surface. The treated samples were evaluated for antimicrobial activity against Staphylococcus aureus ATCC 6538 and Klebsiella pneumoniae ATCC 4352 using the AATCC 147 (2016) qualitative method. The findings indicated that the treated fabric did not exhibit bacteriostatic zones, revealing no observable antimicrobial efficacy under the tested conditions. Despite the negative results, this study provides useful insights into the limitations and challenges of direct application of raw latex for textile finishing, highlighting the need for optimized extraction and formulation strategies.

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Manilkara zapota, sapota latex, antimicrobial finish, cotton fabric, AATCC 147, natural textile treatment

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Primary dysmenorrhea is a common condition among adolescent girls, characterized by painful menstruation without underlying pathology. Non-pharmacological methods like acupressure are gaining attention due to their minimal side effects. The main Objective is To evaluate the effects of acupressure on menstrual pain among girls with primary dysmenorrhea in Renaissance University, Indore. Methods is A quasi-experimental one-group pre-test post-test design was adopted. A total of 20 adolescent girls aged 18-25 years, diagnosed with primary dysmenorrhea, were selected using purposive sampling. The Numerical Pain Rating Scale (NPRS) was used to assess menstrual pain levels before and after the intervention. Acupressure was applied to SP6 (Spleen 6) and ST36 (Stomach 36) points on both legs for 5 minutes, twice a day, for the first two days of menstruation. The mean pain score on the pre-test was significantly higher than the post-test score, indicating a reduction in pain after acupressure. Statistical analysis using paired t-test showed a significant difference in pain scores (p < 0.05).

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A study to evaluate the effects of acupressure on menstrual pain, among girls with primary dysmenorrhea in Renaissance university Indore.

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This Forecasting stream flow in advance is very essential in hydrology such as any water operation and planning. Artificial Neural Network (ANN) recently applied to hydrological related areas. ANN has proven best alternative to convention methods. This study presents the application of artificial neural network to streamflow prediction of stations namely Budhwad in Pune District in Maharashtra, India. In India monsoon occurs only in June to October therefore only June to October data is used for the study. Due to variation in flow in each month therefore separate models are prepared for each month. ANN models developed with four training algorithms namely Levenberg-Marquardt (LM), Conjugate Gradient Function (CGF), Quasi-Newton's back propagation (BFG) and Gradient Descent (GD). The Results from different algorithms are compared with each other. Extreme flow prediction is universal problem to ANN. To overcome this problem one technique is implemented and found to be satisfactory in extreme flow prediction.

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Streamflow Forecastingo Artificial Neural Network (ANN)o Hydrological Modelingo Monsoon Seasono Extreme Flow Predictiono Levenberg-Marquardt Algorithmo Conjugate Gradient Functiono Quasi-Newton Backpropagationo Gradient Descento Budhwad Stationo Pune Districto Maharashtrao Monthly Streamflow Modelso Supervised Learningo Water Resource Planning

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Although, DNA typing plays a decisive role in the identification of persons from blood and body fluid stains in criminal investigations, clarifying the origin of extracted DNA has also been considered an essential task in proving a criminal act. This review introduces the importance of developing precise methods for body fluid identification. Body fluid identification has long relied on enzymatic methods as a presumptive assay and histological or serological methods as a confirmatory assay. However, because the latest DNA typing methods can rapidly obtain results from very small and even old, poorly preserved samples, the development of a novel corresponding body fluid identification method is required. In particular, an immunochromatographic method has been introduced to identify saliva and semen from sexual crimes. In addition, for vaginal fluid identification, attempts have been made in the past decade to introduce a method relying on body fluid-specific mRNA expression levels. At present, the development of molecular biological methods involving microRNA, DNA methylation, and resident bacterial DNA is ongoing. Therefore, in criminal investigations, body fluid identification is an essential task for correctly applying the results of DNA typing, although further research and development are required.

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Body fluid identification, Immunochromatography, DNA, RNA, Sexual assault

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 Abstract

The immune system is essential for protecting the body from infections and diseases. The growing interest in natural remedies for immunity boosting has led to research on various herbal combinations. This study focuses on the formulation and evaluation of an immunity booster powder incorporating Giloy (Tinospora cordifolia), Moringa (Moringa oleifera), and Lemon (Citrus limon) powders. Fresh raw materials were cleaned, shade-dried, and pulverized into fine powders. Various formulations were developed in different ratios, ensuring uniform mixing. Physicochemical parameters, such as moisture content, ash value, and pH, were assessed for the formulated powders. Phytochemical screening revealed the presence of alkaloids, flavonoids, phenolics, and saponins. The antioxidant potential was evaluated using the DPPH radical scavenging assay and reducing power assay. The formulation with equal proportions of Giloy, Moringa, and Lemon powders demonstrated the highest antioxidant activity, suggesting a synergistic effect of the combined ingredients.Index Terms - Component, formatting, style, styling, insert.

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Herbal powder, Moringa, Giloy, Lemon, Immunity boosting, Phytochemical analysis, Immunomodulatory activity

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

This article depicts IMGPLY, a computer program as a Benefit (SaaS) stage employing a modern approach to picture control utilizing Fake Insights (AI). It grandstands five highlights: the Generative Supplant, Substance Extricate, Question Expel, Protest Recolour, and Foundation Evacuate highlights. The stage is built on Next.js and employments a receptionist for verification. The framework is open to the open, permitting both novice users and proficient clients to make upgraded pictures, the types of forms that would have as it were been accessible only utilizing sophisticated image editing software. Execution testing has been completed on all five highlights, indicating that being able to total so many picture operations on one stage and total them in a solid time outline is noteworthy. This investigation shows one strategy for democratizing picture-altering devices, fuelled by AI, and gives an insight into future possibilities with advanced research into using image processing and AI.

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This article depicts IMGPLY, a computer program as a Benefit (SaaS) stage employing a modern approach to picture control utilizing Fake Insights (AI). It grandstands five highlights: the Generative Supplant, Substance Extricate, Question Expel, Protest Recolour, and Foundation Evacuate highlights. The stage is built on Next.js and employments a receptionist for verification. The framework is open to the open, permitting both novice users and proficient clients to make upgraded pictures, the type

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This study analyzes the financial performance of G.M. Industries, a mid-sized manufacturer of pumps and motors operating for over 15 years. The analysis focuses on assessing the company's profitability, liquidity, and solvency by examining financial data from 2019-20 to 2023-24 using ratio analysis, trend analysis, and comparative financial statements. Key findings highlight the company's improving financial health, with a strong current ratio of 2.20 in 2022-23, a gross profit ratio of 75.88% in 2023-24, and a notable net profit ratio of 48.47% in 2023-24, reflecting cost efficiency and profitability. However, the study identifies areas requiring attention, such as the declining absolute liquid ratio and fluctuating debt-to-equity ratio, which peaked at 1.04 in 2020-21, indicating periods of higher financial risk. The research provides valuable insights for management to enhance operational efficiency, improve cost control, and strengthen financial stability. By addressing identified gaps and focusing on sustainable growth strategies, G.M. Industries can continue to strengthen its market position and maintain long-term profitability.

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Financial Performance, Ratio Analysis, Liquidity, Profitability, Solvency, G.M. Industries, Manufacturing Sector

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Antenatal exercises contribute significantly to the well-being of pregnant women and fetal development. The present quantitative study evaluates the knowledge of antenatal exercise among pregnant women at CHC Sanwar, Indore, MP. A total of 40 pregnant women participated in the study, with 10 participants assessed before a structured teaching program (pre-test group) and 30 assessed post-intervention (post-test group). The knowledge scores were compared using independent t-test. The post-test scores showed a statistically significant improvement, indicating the effectiveness of the teaching intervention.

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A Quantitative Study to Assess the Knowledge Regarding Antenatal Exercise Among Pregnant Women at CHC Sanwar, Indore, MP.

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There were a total of 24 species identified during the 2022 Pre-monsoon season in the Upper Lake Bhopal insect fauna, according to the current investigation. These 24 aquatic bug species were divided into 6 orders and 21 families. The lake's site with the most vegetation contained a maximum of 23 species of aquatic insects, whereas the lake's site with the least vegetation contained 9 species. The insect fauna from the order Hemiptera dominated over Diptera.

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Aquatic insects, Upper Lake, Pre-monsoon, Diversity

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The demand for cosmetics has seen a significant rise in recent times, with a multitude of individuals incorporating these products into their daily routines. Cosmetic usage is prevalent as people seek to enhance their beauty and maintain a youthful appearance. Among the various cosmetic options available, herbal cosmetics have gained popularity due to their perceived lower side effects and improved safety profile.Hair, being a prominent feature of the body, serves as a protective element. In light of this, the primary aim of this study is to develop an herbal hair serum suitable for general daily use. The formulation incorporates a blend of herbs aimed at evaluating the characteristics of the cosmetic serum and determining the optimal formulation. Three formulations (F1, F2, and F3) with varying excipient concentrations were developed and subjected to evaluation for physical appearance, pH, homogeneity, viscosity, spreadability, and stability. Results indicate that all formulations meet established standards, demonstrating favorable physical attributes and stability. Furthermore, current research underscores the effectiveness of herbal formulations in improving hair quality and consistency.

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Cosmetic, hair, herbs, formulation, effective,

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Creative Commons Attribution 4.0 and The Open Definition

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Women are the worst sufferers during conflict and yet they are significantly absent from all efforts to mitigate it, all endeavours to record it and all initiatives to resolve it. War being a masculine construct has hardly allowed women space to record their experiences since times immemorial. Nevertheless, the changing face of violent conflicts in the twenty-first century, urges reconsideration in the discriminatory practices that disregard the permanent and often devastating consequences of wars on the lives of women. An intersectional perspective that includes the intricacies of race, gender, religion, background, geographics and politics, must be endorsed so as to understand the overall impact of armed conflicts on the other half of the population. In addressing the reckless erasure of women's histories and experiences, particularly of sexual violence, women must shoulder the responsibility of representation, hence standing in solidarity for the mute voices drowned away by the cacophonous business of warfare. This research paper proposes to study Nadia Murad's The Last Girl and Christina Lamb's Our Bodies Their Battlefield as examples of the agency of women in regrouping and rebuilding from their shattered, limiting and chaotic surroundings.

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Creative Commons Attribution 4.0 and The Open Definition

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Women, Conflict, Peace, Security, War, Gender Based Violence, Displacement.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Abstract: Phishing is a major cybersecurity threat that tricks users into revealing sensitive information through deceptive websites. Traditional methods like blacklists and browser alerts often fail to detect newly crafted or obfuscated phishing URLs. This project presents a Phishing Detection System using Hybrid Machine Learning, which combines multiple supervised algorithms--Logistic Regression, SVM, Decision Tree, Random Forest, Gradient Boosting, and XGBoost--within an ensemble voting framework. URLs are converted into numerical vectors using TF-IDF, allowing the models to detect hidden patterns and anomalies. A majority voting mechanism enhances detection accuracy and system robustness. The solution is implemented with a user-friendly interface using Streamlit, enabling real-time URL classification without relying on external APIs or blacklists. It is lightweight, scalable, and capable of operating offline, making it ideal for integration into browsers, email systems, or enterprise security tools. Tested on real-world datasets, the system achieves over 95% accuracy while maintaining high performance under load. This project highlights the effectiveness of hybrid machine learning in phishing detection and offers scope for future improvements, such as deep learning integration and browser plugin development.

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Creative Commons Attribution 4.0 and The Open Definition

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Keywords: Phishing Detection, Machine Learning, Hybrid Model, URL Classification, Ensemble Learning, Cybersecurity, TF-IDF, Streamlit

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Creative Commons Attribution 4.0 and The Open Definition

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This project aims to develop innovative micro-cooling devices inspired by natural cooling strategies employed by organisms in hot and dry climates. By mimicking these biological mechanisms, we seek to create sustainable and energy-efficient solutions to address the increasing demand for cooling in such environments. The project will involve a multidisciplinary approach, combining biomimicry, materials science, and thermal engineering to design and fabricate micro-scale devices capable of passively cooling surfaces and spaces. The performance of these devices will be evaluated through rigorous experimentation in a controlled laboratory setting, as well as in real-world conditions. The findings of this research will contribute to the development of sustainable building technologies and contribute to mitigating the impact of climate change.

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BIOMIMICRY, Passive cooling system,Hot and Rid climate design, Jaali wall

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Creative Commons Attribution 4.0 and The Open Definition

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Road traffic accidents remain a significant global concern, resulting in substantial loss of life, injuries, and economic burden. This study presents a data-driven approach for predictive modeling of road accidents using advanced machine learning (ML) techniques to enhance traffic safety. Leveraging historical accident datasets and incorporating variables such as weather conditions, traffic volume, road types, and temporal features, various ML algorithms--including Random Forest, Support Vector Machine (SVM), and Gradient Boosting--are evaluated for their predictive performance. Feature selection and data preprocessing methods are applied to improve model accuracy and interpretability. The results demonstrate that ensemble-based models outperform traditional methods in identifying high-risk conditions and accident-prone zones. The findings offer actionable insights for traffic management authorities, enabling the development of proactive safety strategies and data-informed policy-making. This research highlights the transformative potential of machine learning in predicting and mitigating road accidents, paving the way for smarter and safer transportation systems.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Road Accidents, Predictive Modeling, Machine Learning, Traffic Safety, Data-Driven Approach, Accident Prediction, Random Forest, Support Vector Machine, Gradient Boosting, Traffic Management.

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Creative Commons Attribution 4.0 and The Open Definition