Volume 13 | Issue 11 |

 Abstract

Accurate rainfall prediction is crucial for effective disaster preparedness and resource management. This study explores the application of machine learning techniques to predict rainfall using historical meteorological data. We employ various algorithms, including Naive Bayes, Support Vector Machines (SVM), Decision Trees, Logistic Regression, Long Short-Term Memory (LSTM), Random Forest, Extreme Gradient Boosting (XGBoost), and Artificial Neural Networks (ANN). The dataset, sourced from Kaggle, includes features such as temperature, humidity, wind speed, and atmospheric pressure. Preprocessing steps, including handling missing data, feature selection, and data normalization, are applied to enhance model performance. The results demonstrate the effectiveness of machine learning in improving rainfall prediction accuracy, with implications for better disaster management and agricultural planning.

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Naive Bayes, Decision Trees, SVM, Logistic Regression, ANN, and LSTM enhance rainfall prediction through machine learning.

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: In the contemporary digital marketplace, influencer marketing has become a cornerstone of brand strategy, yet it introduces significant vulnerabilities when influencers are involved in public controversies. This research analyzes the impact of such controversies on brand endorsement decision-making, consumer perception, and the efficacy of subsequent brand-led crisis response strategies. Using a quantitative, quasi-experimental, scenario-based survey design, the study employs descriptive statistics, Chi-Square tests, T-Tests, ANOVA, and regression analysis to compare consumer attitudes across experimental groups. It is hypothesized that influencer controversies (H??) will have a significant negative impact on consumer trust and brand perception, and further, that the strategic response adopted by a brand post-controversy (H??) will have a significant effect on mitigating this damage and recovering consumer loyalty. While much research focuses on influencer authenticity, this paper's originality lies in its structured analysis of the post-controversy phase from a brand's crisis management perspective, offering empirically-driven insights for managing the inherent vulnerabilities of influencer endorsements.

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 Keywords

Influencer Marketing, Brand Endorsement, Influencer Controversy, Crisis Management, Situational Crisis Communication Theory (SCCT), Consumer Trust, Brand Perception

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The Panchkosha theory, propounded in Indian philosophy of life, provides a holistic and scientific basis for human health and personality development. According to Pt. Shriram Sharma Acharya, human health is not limited to physical recovery, but rather, it is based on the harmonious development of the body, soul, mind, intellect, and spirit. Panchkosha Sadhana is the means to this holistic health, in which the Annamaya Kosha represents physical strength, the Pranamaya Kosha represents the flow of life energy, the Manomaya Kosha represents mental peace and emotional balance, the Vijnanamaya Kosha represents discerning decision-making, and the Anandamaya Kosha represents self-realization and spiritual happiness. Yoga practices, pranayama, meditation, self-study, and spiritual practices help refine and balance these koshas. Acharya believes that the Panchkosha theory is not merely a philosophical proposition, but a practical and scientific model for health promotion, particularly relevant in addressing the challenges of modern lifestyle-related diseases and mental stress. This research makes it clear that if the Indian way of life and the traditions of Yoga are adopted from the Panchkoshi perspective, then they can become an effective complement to modern medical science and offer a strong alternative towards holistic health at the global level.

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Panchkosha, holistic health, Indian way of life

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

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Creative Commons Attribution 4.0 and The Open Definition

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Air Pollution; PM2.5; PM10; Machine Learning; Linear Regression; Decision Tree; Random Forest; Maharashtra Air Quality; Environmental Monitoring; Predictive Modelling; Particulate Matter Forecasting; Data-Driven Analysis; Air Quality Prediction; Pollution Assessment; Atmospheric Data.

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Abstract Precise and personalized medicine (PPM) is an advanced healthcare approach that focuses on designing treatment strategies based on an individual's genetic makeup, biomarkers, lifestyle, disease characteristics, and environmental influences. With the rapid growth of genomic sequencing, proteomics, metabolomics, artificial intelligence (AI), and digital health technologies, PPM has become a practicalclinical reality. This review provides a comprehensive overview of the concepts, technological foundations, clinical applications, advantages, limitations, and future potential of precise and personalized medicine. Emphasis is placed on pharmacogenomics, biomarker-guided therapies, targeted drug delivery, machinelearning based prediction tools, and disease-specific implementation of personalized strategies. The review also highlights current research advancements, ethical considerations, and global challenges in adapting PPM into mainstream healthcare. Overall, precise and personalized medicine represents a transformative shift from generalized therapy to individualized care.

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 Keywords

Keywords Precision medicine, personalized therapy, pharmacogenomics, biomarkers, targeted therapy, genomics, AI in healthcare.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

EXPERIENCES Abstract Television serials have become a pervasive element of everyday media consumption, shaping perceptions, behaviours, and social expectations among women across diverse cultural settings. This study investigates the impact of TV serial narratives on women's social and personal experiences, focusing on how recurring themes of family conflict, emotional tension, and exaggerated domestic drama influence women's understanding of gender roles, relationships, and decision-making processes. Prior analyses indicate that serials often rely on melodramatic elements, power struggles, and heightened emotional exchanges, which can extend beyond entertainment to influence real-life attitudes and interpersonal behaviour. Using a mixed-method content analysis and viewer response framework, the study examines how portrayals of women's identities--ranging from self-sacrificing homemakers to career-driven protagonists--shape female viewers' aspirations, self-image, and interpretations of social norms. The research further explores how serial narratives reinforce or challenge traditional gender stereotypes, especially within the domains of marriage, motherhood, autonomy, and conflict resolution. Findings highlight that women frequently internalize the emotional and relational cues presented onscreen, resulting in changes to communication patterns, expectations within family structures, and perceptions of moral conduct. While some serials promote empowerment by depicting resilience and agency, many continue to reproduce restrictive norms that affect women's confidence, social mobility, and relational choices. The study concludes that TV serials operate as powerful cultural texts that shape lived experiences, simultaneously offering emotional identification and imposing normative pressures. These insights emphasize the need for responsible media production and encourage further research on narrative influence in everyday life.

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Television Serials, Gender Roles, Women's Identity, Media Influence, Emotional Behaviour, Cultural Norms, Representation

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This paper reviews the critical intersection of Tribal (Indigenous) women's property rights and the role of the United Nations (UN). It identifies a pervasive global challenge stemming from the conflict between discriminatory customary laws--which frequently deny women secure ownership and inheritance of land--and the universal principles of gender equality and human rights. The analysis highlights that secure property rights are fundamentally linked to tribal women's economic autonomy, food security, and protection from violence. The UN plays a pivotal role in establishing the normative framework for reform, primarily through the Convention on the Elimination of All Forms of Discrimination Against Women (CEDAW), which mandates States to eliminate discrimination in rural women's land access (Article 14), and the UN Declaration on the Rights of Indigenous Peoples (UNDRIP), which demands special attention to Indigenous women's rights within the context of collective land claims (Article 22). The literature underscores the persistent implementation gap between international commitments and national practices, noting that legal pluralism often allows regressive customary laws to persist. Ultimately, the UN framework serves as a vital legal and moral support for advocates and judiciaries worldwide, driving the necessary legal reforms and policy harmonization required to ensure gender justice and tenure security for tribal women.

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Tribal/ indigenous women, property rights, United Nations, land tenure, gender equality

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Abstract -- A quick, sensitive, and accurate RP-HPLC approach has been employed to identify and measure Diclofenac Sodium and Misoprostol using a Waters PDA-detected HPLC mode. An Inertsil -ODS C18 (250 x 4.6 mm, 5) column was utilized for separation of Misoprostol and Diclofenac Sodium with flow rate of 1.0 ml/min. The mobile phase was degassed Methanol and Acetonitrile (75:25) with the detection wave length of 230nm.

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Key words: Diclofenac Sodium, Misoprostol, RP-HPLC

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Abstract We examined the long-run relationship between the Rupee/Pakistani Rupee exchange rate (et) and relative price levels (pt) of India and Pakistan using quarterly data for 1976:1-2008:3. The secondary datasets on exchange rates and wholesale/consumer price indices, sourced from various issues of the International Financial Statistics (IMF), form the empirical base. Both series were found to be non-stationary in levels and stationary at first differences, confirming their I(1) nature in each sub-periods. Johansen cointegration analysis was applied separately to the periods 1976:1-1998:3 and 1998:4-2008:3. For the first sub-period, no cointegration was detected, indicating the absence of a long-run equilibrium relation between exchange rate movements and relative price levels in the economy of Pakistan. This suggested that the Purchasing Power Parity (PPP) doctrine and the associated Law of One Price (LOOP) did not hold between India and Pakistan during that time. In contrast, for the second sub-period, one significant cointegrating vector was found, establishing a stable long-run relationship between et and pt. The results imply that, from 1998:4 onwards, relative price differentials played a meaningful role in exchange rate determination, lending empirical support to PPP and LOOP in the India-Pakistan context during 1998:4-2008:3.

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 Keywords

Stationarity, Integrability Test, Correlogram Analysis, Johansen Cointegration Test

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Ferocactus Herrerae a unique species of cactus,it has been traditionally used for its medicinal properties.This research study explores the development of a transdermal patch by using Ferocactus Herrerae fruit extract, aiming to leverage its antioxidant and anti inflammatory compounds for therapeutic benefits.The patch is designed to deliver the extract's active compounds through the skin, potentially to check the antifungal activities. The Ferocactus herrerae fruit extract was properly evaluated for its antifungal activities against variou fungal pathogen Colletotrichum gloeosporioides of the mango plants.The fruit extract shown significant inhibition of fungal growth,by indicating its potential as a natural antifungal agent.Ferocactus herrerae, a cactus species native to Mexico, has been also traditionally used for its medicinal properties.This research study also aimed to evaluate the potential health benefits of Ferocactus herrerae fruit juice for the Mexican population.

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Key Words- Ferocactus herrerae, Transdermal Patch, Colletotrichum gloeosporioides, Mango Plants, fungal infections, hydroxypropyl methyl cellulose, Eudragit RL 100, polyethylene glycol, dimethyl sulfoxide etc.

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