Volume 14 | Issue 6 |

 Abstract

Biophilic design is an innovative design approach that aims to reconnect humans with nature within built environments. In modern corporate workplaces, employees often experience stress, mental fatigue, reduced productivity, and a lack of connection with natural surroundings due to highly artificial and enclosed environments. This research focuses on understanding the importance and application of biophilic design principles in corporate interior spaces and how they contribute toward healthier and more sustainable workplaces. The study explores the integration of natural elements such as daylight, ventilation, greenery, natural materials, organic forms, and visual connections with nature within office interiors. It examines how these elements influence employee wellbeing, productivity, creativity, mental health, and overall workplace experience. The research is primarily based on literature studies, theoretical understanding, and comparative case study analysis of corporate environments that successfully implement biophilic design strategies. Through this study, it is observed that biophilic design positively impacts the physical and psychological wellbeing of users while also improving environmental quality and workplace efficiency. The findings conclude that biophilic design is not only an aesthetic approach but also a functional and sustainable strategy for future corporate interiors. By creating a stronger relationship between people and nature, biophilic workplaces help develop healthier, more balanced, and human-centered working environments.

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 Keywords

o Biophilic Design o Corporate Interiors o Workplace Wellbeing o Sustainable Design o Natural Lighting o Employee Productivity o Indoor Greenery o Environmental Psychology o Workplace Experience o Human-Nature Connection

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This study examines the relationship between macroeconomic indicators and shareholder wealth creation in Indian consumption companies, with a focus on understanding whether macroeconomic cycles translate uniformly into firm-level financial performance. The research analyses a set of six representative companies spanning different consumption sub-segments, including aspirational discretionary, cyclical retail, value-oriented retail, and fast-moving consumer goods (FMCG). Key macroeconomic indicators such as foreign portfolio investment (FPI) flows, foreign direct investment (FDI) flows, capacity utilisation, and consumption indices are evaluated alongside company-specific metrics including share price performance, Return on Equity (ROE), and Return on Capital Employed (ROCE). The methodology adopts a descriptive and comparative approach, combining visual trend analysis with firm-level financial evaluation to identify patterns between macroeconomic movements and shareholder outcomes. The findings suggest that while macroeconomic indicators influence short-term performance and market sentiment, they do not independently determine long-term wealth creation. Instead, business model characteristics--such as pricing power, capital efficiency, and operating leverage--play a more significant role in shaping sustained returns. The study highlights that discretionary businesses exhibit higher sensitivity to economic cycles, while FMCG and value-oriented companies demonstrate resilience across phases. Overall, the research reinforces the importance of integrating macroeconomic analysis with firm-level fundamentals, providing insights relevant for equity research, portfolio construction, and investment decision-making in the Indian consumption sector.

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 Keywords

Macroeconomic Indicators; Shareholder Wealth Creation; Indian Consumption Sector; Return on Equity (ROE); Return on Capital Employed (ROCE); FDI; FPI Consumption Index; Equity Research; Business Models

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 Abstract

Accurate cost estimation in interior design is a complex challenge characterized by high-dimensional variables and subjective aesthetic choices. Traditional estimation methods often suffer from significant margins of error due to the non-linear relationship between spatial configurations and material costs. This paper proposes a hybrid computational framework that integrates traditional machine learning (ML) with deep learning for enhanced predictive accuracy. A dual-input pipeline is employed: first, a Convolutional Neural Network (CNN) extracts design features and material styles from 2D architectural blueprints; second, these visual features are fused with structured tabular data--such as square footage, geographical location, and material grades--to feed ensemble learning models, including Random Forest and XGBoost. Experimental results demonstrate that the hybrid framework achieves a Mean Absolute Error of 6.14%, representing a significant improvement over the traditional baseline model. The study concludes that the synergy of computer vision and regression-based ML provides a robust, scalable tool for real-time budgetary forecasting in the architectural and interior design industries.

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 Keywords

Interior Design, Cost Estimation, Cost Prediction, Machine Learning, Computer Vision, Convolutional Neural Network, Deep Learning, XGBoost, Random Forest, Blueprint Analysis.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

IoT-based real-time battery monitoring system

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Creative Commons Attribution 4.0 and The Open Definition

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Battery Management System, Internet of Things, Electric Vehicle, ESP32, Sensors, Real-Time Monitoring, Cloud Platform.

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Creative Commons Attribution 4.0 and The Open Definition

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Development of Tribal Culture Along with Eco-Tourism in Madhya Pradesh: A Global Perspective of Tourism in Alignment with Sustainable Development Goals

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Development of Tribal Culture Along with Eco-Tourism in Madhya Pradesh: A Global Perspective of Tourism in Alignment with Sustainable Development Goals

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Lymphatic filariasis (LF) is the second cause of permanent, long-term disability in the world. It is one of the world's most disabling and disfiguring disease. Filariasis, though not fatal, is an important public health problem. It prevents the afflicted from experiencing a normal working and social life, resulting in matrimonial handicap, inferiority of self, and furthering the cycle of poverty. It affects 750 million every year and in India, 450million people are at risk. Lymphatic filariasis has been identified as one of the only six diseases, which could be targeted for elimination/eradication based on considerations that human beings are the only reservoir of infection. The WHO has now called for targeting filariasis elimination by 2020. India is the largest LF endemic country and has targeted elimination by 2015. non-experimental descriptive design to assess the rural knowledge on their management of filariasis among adults. The sample for the study was 90 adults residing at selected rural communities of Sulekere P.H.C. Then house to house survey was done and found the mothers of toddlers as 8o in Sulekere, 82 in Ramsandra and 86 in Kenchanpura. The sample was selected by using simple random technique. The samples obtained were 23+37+30= 90 from the respective villages. The present study represents the Mean, S.D. and Mean percentage of aspects of knowledge on their practices of mothers of toddler. It reveals that the subjects had a maximum mean of 5.37 with a standard deviation of 0.97 and the minimum mean of 1.60 with the S.D. of 0.63 and mean percentage of 80.0% for foreign body aspiration, the mean score of 2.13 with a S.D.0.57 and mean percentage of 71% regarding cut and laceration, the mean score of 3.82 with S.D of 1.02 and mean percentage of 76.4% regarding burns, scalds and the mean of 2.52 with S.D. of 0.64 and mean parentage of 84.0% regarding drowning., the mean score of 3.24 with a S.D. of 0.78 and mean percentage of .81% regarding stings and bites, the mean score of 2.44 with a S.D. of 0.67 and mean percentage of 81.3% regarding electric shock.

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 Keywords

Knowledge, management, Filariasis, Adults, Eductational Media, and Urban area

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Abstract: A 25 years old male runner walked in with a complaint of pain over the right knee joint and pain gets extended down to the leg for past 2 weeks. The severity of the pain started increasing during mid half of running. he dint complaint of sleep disturbance due to this pain. He did find some relief in cold packs and application of analgesic, but it was just a short duration of relief. He has been diagnosed to have patellofemoral joint syndrome by performing Clark test and squatting and patient is asked to fill Kujala patellofemoral scale (Anterior knee pain scale). since patient had investigations report it was easy to rule out other pathologies like meniscus tear, arthritis or knee instability conditions. As a treatment protocol patient underwent 6 weeks of functional strength training to get a complete recovery from patellofemoral pain syndrome(PFPS).

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KEYWORDS: Patellofemoral pain syndrome, Knee joint, Kujala patellofemoral scale, Functional training

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Creative Commons Attribution 4.0 and The Open Definition

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ABSTRACT In the modern world, different kinds of philosophical concepts are existed. As the part of Indian philosophical contributions are inevitable to the world. Sree Narayana Guru and his philosophical contributions are deeply rooted to Indian society especially in Kerala. Advaita( non-dualist) is the core compound of Sree Narayana Guru's philosophy.

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Keywords:Sree Narayana Guru, Philosophy, Temple, Social Reformations.

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Creative Commons Attribution 4.0 and The Open Definition

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Polycystic Ovary Syndrome (PCOD) is one of the most common endocrine and metabolic disorders affecting women of reproductive age. It is often associated with hormonal imbalance, irregular menstrual cycles, insulin resistance, weight gain, stress, and reduced quality of life. Due to the increasing interest in natural healthcare approaches, herbal nutraceutical formulations have gained attention as supportive alternatives for managing PCOD-related symptoms.The present study focuses on the formulation and evaluation of Aayuherbo Prash, a herbal nutritional preparation developed to support women's wellness and hormonal health. The formulation was prepared using a blend of medicinal herbs and nutrient-rich ingredients including Amla, Fenugreek, Cinnamon, Spearmint, Shatavari, Ashwagandha, Turmeric, Flax Seed, Chia Seed, Pumpkin Seed, Fennel, Honey, and Dry Fruits. These ingredients were selected based on their traditional medicinal importance and potential benefits in supporting metabolism, hormonal balance, antioxidant activity, stress management, and overall nutritional health.The prepared formulation was evaluated for various physicochemical and quality control parameters such as organoleptic properties, pH, homogeneity, moisture content, ash value, extractive value, phytochemical screening, microbial quality, and stability. The formulation exhibited a pleasant herbal aroma, mildly sweet taste, smooth semi-solid consistency, and satisfactory stability under recommended storage conditions. The pH of the formulation was found to be 5.8, indicating its suitability as a herbal nutraceutical product.The results suggest that AAYUHERBO PRASH may serve as a promising herbal nutritional formulation for supporting women's health and the management of PCOD-related concerns. Further clinical studies are required to establish its therapeutic effectiveness and long-term safety.

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PCOD, Herbal Nutraceutical, Women's Wellness, Hormonal Balance, Aayuherbo Prash, Herbal Formulation, Phytochemicals.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Epilepsy is a chronic neurological disorder characterized by recurrent seizures resulting from abnormal neuronal activity and remains a significant global health concern. Although several antiepileptic drugs are available, treatment resistance and adverse drug reactions continue to limit their effectiveness in many patients. Natural products represent an important source of bioactive compounds with potential therapeutic applications in neurological disorders. Luteolin, a naturally occurring flavonoid isolated from the rhizomes of Cyperus rotundus, has been reported to possess antioxidant, anti-inflammatory, and neuroprotective properties. The present study investigated the potential anticonvulsant activity of luteolin through an in silico molecular docking approach against selected epilepsy-associated protein targets. Luteolin was isolated and purified from the rhizomes of Cyperus rotundus, and molecular docking studies were performed against key epilepsy-related targets, including GABA-A receptor (GABRA1), protein kinase B (AKT1), tumor necrosis factor-alpha (TNF-?), and cyclooxygenase-2 (COX-2/PTGS2). Three-dimensional structures of the target proteins were obtained from the Protein Data Bank, and docking analyses were conducted using standard molecular docking software to evaluate binding affinities and ligand-protein interactions. Luteolin demonstrated favorable binding interactions with all selected targets, forming stable ligand-protein complexes through hydrogen bonding and hydrophobic interactions. The observed binding affinities suggest the potential of luteolin to modulate neurotransmission, neuroinflammatory pathways, and neuronal survival mechanisms associated with epileptogenesis. These findings indicate that luteolin may serve as a promising natural candidate for anticonvulsant drug development. Further experimental studies are warranted to validate its antiepileptic efficacy and elucidate the underlying molecular mechanisms.

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 Keywords

Luteolin; Cyperus rotundus; Epilepsy; Anticonvulsant activity; Molecular docking; GABA-A receptor; AKT1; TNF-?; COX-2.

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Creative Commons Attribution 4.0 and The Open Definition