Journal for Research in Applied Sciences and Biotechnology
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Clinical Establishment Act Implementation in Kamrup District, Assam: A Multi-dimensional Analysis of the First DHR Registration in Northeast India
Full text linkBackground: The Clinical Establishment Act (CEA) of 2010 represents a critical regulatory mechanism to standardize healthcare delivery across India, yet implementation has been inconsistent nationwide. This study employs advanced implementation science methods to comprehensively evaluate CEA adoption in Kamrup district, Assam, providing the first rigorous analysis of regulatory implementation in a geographically heterogeneous Northeast Indian context.
Methods: We conducted a mixed-methods quasi-experimental implementation study with an interrupted time-series design (June 2023-February 2025). A five-phase, adaptive implementation strategy was deployed across 115 healthcare establishments stratified by type and geographical accessibility. Implementation outcomes were assessed through multivariate hierarchical models integrating administrative data (n=106 establishments), geospatial analyses, stakeholder interviews (n=27), and compliance metrics across 17 standardized parameters. Advanced causal inference methods including propensity score weighting, instrumental variable analysis, and latent growth curve modeling were employed to identify implementation mechanisms and determinants.
Brief Results: Kamrup district achieved 66.1% registration completion (76/115 eligible establishments; 95% CI: 57.3-74.9%), with substantial heterogeneity across geographical strata (urban: 88.2% vs. difficult-to-reach rural: 20.0%; adjusted odds ratio=7.35, 95% CI: 2.64-20.47, p<0.001). Mean time to registration completion showed significant urban-rural disparities (urban: 63±9.8 days vs. rural: 92±14.3 days, p<0.001). Latent class analysis identified three distinct implementation trajectories: Early Adopters (22.6%), Pragmatic Responders (53.0%), and Implementation Resistors (24.3%), differentially associated with organizational characteristics (χ²=37.6, p<0.001). Mediation analyses revealed that administrative-clinical integration accounted for 47.3% (95% CI: 36.8-57.9%) of the effect of leadership engagement on implementation success. Geospatial regression modeling demonstrated significant spatial autocorrelation in implementation outcomes (Moran\u27s I=0.62, p<0.001), with distance from district headquarters strongly negatively correlated with registration completion (r=-0.78, p<0.001).
Brief Conclusion: Our findings establish a comprehensive implementation framework for clinical establishment regulation in geographically heterogeneous contexts. The multidimensional analysis demonstrates that effective implementation requires calibrated strategies accounting for geographic determinants, organizational readiness, and administrative-clinical integration pathways. With the District Health Society poised to become the first entity in Assam to complete DHR registration, this study provides generalizable implementation parameters for similar regulatory initiatives across resource-variable settings
Novel Strategies for Patient Care: The Potential of Generative Artificial Intelligence in Transforming Healthcare
Full text linkThis paper explores how generative artificial intelligence (AI) can completely transform patient care approaches in the context of healthcare. With its wide range of cutting-edge methods, such as image synthesis, natural language processing, and predictive modeling, generative artificial intelligence (AI) provides game-changing solutions for improving healthcare delivery. Generative AI has the potential to improve administrative processes, personalize treatment plans, and improve diagnostic accuracy by synthesizing large datasets and producing fresh ideas. Healthcare professionals can use Generative AI to leverage data-driven decision-making to customize interventions to the specific needs of each patient, improving patient satisfaction and outcomes. Additionally, by automating repetitive processes, generative AI promotes improved operational efficiency and frees healthcare workers to concentrate on high-value clinical activities. This paper demonstrates the revolutionary influence of Generative AI on a range of patient care domains, from personalized therapy recommendations to medical imaging interpretation, using case studies and real-world examples. Ultimately, a new era of patient-centric healthcare marked by tailored interventions, better results, and increased delivery efficiency could be ushered in by the broad deployment of generative AI
A Holistic Review of Systemic Lupus Erythematosus: From Inception to Intervention
Full text linkSLE is a multi-system autoimmune disorder that primarily affects women of reproductive age. The specific etiology of SLE is unknown, however it is thought to be a mix of hereditary and environmental factors. The illness is defined by the development of auto-antibodies against nuclear and cytoplasmic antigens, which causes tissue and organ damage. The clinical symptoms of SLE can range from modest skin involvement to serious organ damage. SLE is diagnosed based on both clinical and laboratory data, with categorization criteria defined by EULAR and ACR being widely utilized. SLE treatment regimens vary depending on the severity of the disease and the organs involved, but constant monitoring and control are essential.Various environmental causes, including drugs, viral infections, and sun exposure, have been linked to SLE. Nail abnormalities and nail fold video capillaroscopy anomalies have been seen in SLE patients, suggesting possible links with illness severity. The therapeutic aims for SLE have evolved from decreasing side effects and organ damage to increasing health-related quality of life
Influence of External Fields on the Morphology and Rate of Crystal Growth
Full text linkThis study explores the effect of external electric and magnetic fields on the morphology and growth rate of crystals, using potassium dihydrogen phosphate (KDP) and benzoic acid as model systems. Crystals were grown under controlled laboratory conditions with varying intensities of electric (10 V and 30 V) and magnetic (0.1 T and 0.5 T) fields. The results show a significant enhancement in crystal growth rate under both types of fields, with the electric field at 30 V producing the most pronounced increase. Morphological analysis revealed improved symmetry and shape uniformity in field-assisted crystals compared to those grown under ambient conditions. Additionally, crystals exposed to higher field strengths reached target sizes more rapidly and exhibited a greater degree of preferred facet orientation. Statistical analysis using ANOVA confirmed that these differences were highly significant. The findings suggest that external fields influence crystallization by altering molecular transport, orientation, and interfacial dynamics, offering a promising approach for improving the quality and efficiency of crystal production in scientific and industrial applications
Preparation and Evaluation of Herbal Sanitary Napkin for Menstrual Health
Full text linkThe research work highlights the preparation of herbal sanitary napkins with natural and chemical-free materials showing eco-friendly and biodegradable properties. To protect women\u27s reproductive health and promote awareness for environmental sustainability. This alternative approach is designed to improve menstrual health and hygiene. The purpose of the research work focuses on the preparation of three generations of herbal sanitary napkins (F1, F2, and F3) by showing variation in lay arrangement, i.e., hydrophilic nonwoven fabric as the top layer, airlaid tissue, SAP sheet, gelling sheet as the absorbent core, hydrophobic nonwoven fabric and polyetheyne sheet as the barrier layer, and application of lemongrass essential oil, mainly used as an herbal ingredient, to give both antimicrobial activity and fragrance. Performance of napkins assessed by absorbency percentage, leak proof test, liquid strike through test, wet back strike through test, fluid retention test, and antimicrobial test. It was revealed from the results that herbal sanitary napkins of the F2 generation showed the best performance
Sustainable Green Synthesis, Characterization and Anti-Microbial Testing of Cu-Based Metal-Organic Framework (MOF)/TiO2 Nanocomposites Derived from Cinnamomum Verum Bark
Full text linkThis research work is aimed at green synthesis with sustainability towards the production of copper (Cu)-Based Metal Organic Framework (MOF) and their doping in titanium dioxide (TiO₂) nanoparticles synthesized using a natural reductant and stabilizer, Cinnamomum verum (C. verum) bark extract. It is an eco-friendly synthesis technique because the bioactive compounds such as flavonoids and polyphenols present in C. verum help reduce and stabilize metal ions, thus replacing toxic chemicals. The synthesized Cu-doped TiO₂ nanocomposites are found to absorb increased visible light owing to the reduced bandgap from copper doping, as observed by UV-Vis Diffuse Reflectance Spectroscopy (UV-DRS). The scanning electron microscopy and energy-dispersive X-ray spectroscopy analysis of the synthesized nanocomposites indicates that the distribution of Cu in the TiO₂ matrix is uniform, which offers structural stability and functional efficacy. Well-diffusion experiments on antimicrobial studies reveal that the nanocomposites produced by this process have excellent antimicrobial activity, especially towards Staphylococcus aureus. This is attributed to the photoinduced generation of ROS, which can break cell walls and interfere with microbial cell metabolism. The synthesis process for this Cu-TiO2 nanocomposite is totally in compliance with green chemistry principles and produces nanocomposites having strong antimicrobial and photocatalytic action. These results outline the grand potential of green methods-prepared Cu-doped TiO₂ nanocomposites to be used in antimicrobial coatings, environmental remediation, and much more - opening a promising route towards sustainable nanotechnology development
Red Bull Energy Drink: A Comprehensive Analysis of Physiological Effects, Behavioral Patterns, and Psychological Impacts
Full text linkThis paper presents a multi-disciplinary analysis of Red Bull energy drink, examining its physiological, psychological, and behavioral effects through the lens of multiple theoretical frameworks. Using an integrated mixed-methods approach combining neurochemical analysis, psychophysiological assessment, and a large-scale survey (n=2,450) with experimental validation, we investigate Red Bull\u27s efficacy as both a mood enhancer and energy booster. Our findings reveal significant short-term improvements in alertness, concentration, and psychological well-being (p<0.001), alongside evidence of neuroadaptation processes that facilitate dependency-like behaviors in a substantial subset of consumers. Utilizing theoretical models from cognitive neuroscience, behavioral economics, psychoneuroendocrinology, and addiction science, we elucidate the complex mechanisms through which Red Bull\u27s constituents—primarily caffeine, taurine, B-vitamins, and sugars—modulate neurotransmitter systems and metabolic processes. Advanced statistical modeling including structural equation modeling and network analysis demonstrates that consumption patterns form distinct clusters associated with specific psychological profiles and neurobiological vulnerabilities. The paper synthesizes these findings into a comprehensive theoretical model that accounts for both the acute benefits and potential long-term concerns associated with regular consumption, with implications for regulatory policy, public health interventions, and clinical practice
Accelerating Polymorph Screening with AI & ML: A New Era in Drug Development
Full text linkPolymorph screening plays a crucial role in pharmaceutical development, influencing the solubility, stability, and bioavailability of active pharmaceutical ingredients (APIs). Traditional screening methods are time-consuming, labor-intensive, and often yield unpredictable results. Recent advancements in artificial intelligence (AI), machine learning (ML), and computational modeling such as molecular dynamics (MD) and density functional theory (DFT) have revolutionized this process, enabling faster and more accurate predictions of polymorphs, solvates, hydrates, cocrystals, and salts. The integration of AI-driven and computational models in polymorph screening is examined in this paper, with an emphasis on their potential applications in predicting the stability of amorphous solids, solubility of APIs, and the solvates, hydrates and cocrystals for the drug development. We also discussed how thermodynamic viability of solvate and hydrate formation and desolvation kinetics can be analyzed using computational techniques. AI and ML provides increase polymorph screening\u27s success rate, which will impact the drug polymorphs selection for the manufacturing and regulatory compliance. The most recent advancements, challenges, and contemporary approaches in the use of AI/ML, MD and DFT in solid-state drug development are the main topics of this review
The Bhagavad Gita\u27s Influence on Modern Global Spirituality: A Transformative Journey Across Time and Culture
Full text linkThe Bhagavad Gita, an ancient Sanskrit text embedded within the epic Mahabharata, has transcended its historical origins to become one of the most influential spiritual texts in contemporary global consciousness. This comprehensive review examines the profound impact of the Gita on modern spirituality, tracing its journey from ancient India to its current position as a cornerstone of worldwide spiritual practice. Through analysis of its core teachings, examination of its influence on prominent thought leaders, and exploration of its integration into diverse spiritual traditions, this paper demonstrates how the Gita\u27s timeless wisdom continues to offer transformative insights for seekers across all cultural boundaries
Multi-Sectoral Integrated Health Screening Program Among Food Service Workers: A Revolutionary Community-Based Approach in Kamrup District, Assam, India
Full text linkMulti-sectoral health screening programs represent an innovative approach to comprehensive community health assessment, aligning with WHO recommendations for integrated health service delivery (World Health Organization, 2016). This study reports the first integrated screening initiative combining National TB Elimination Programme, Sickle Cell Disease Elimination Programme, National Viral Hepatitis Programme, National AIDS Control Programme, and Integrated Disease Surveillance Programme in a single community-based health camp, addressing the critical need for comprehensive occupational health surveillance (International Labour Organization, 2021). A cross-sectional multi-sectoral health screening was conducted among 85 food service workers at Akshaya Patra Foundation, North Guwahati, Kamrup District, Assam, using comprehensive SPSS statistical analysis following established epidemiological protocols (Rothman et al., 2008). Participants underwent screening including viral hepatitis markers, blood glucose, liver function tests, haemoglobin, leptospirosis, TB screening, and adverse drug reaction monitoring according to national guidelines (Ministry of Health and Family Welfare, 2023). Among 85 participants (94.1% male, mean age 33.29±9.81 years), significant health burdens were identified: hepatitis C seroprevalence 1.18% (95% CI: 0.0-3.47%), diabetes prevalence 5.9%, pre-diabetes 10.6%, anemia prevalence 32.9%, liver dysfunction 44.7%, latent TB positivity 2.35%, and one adverse drug reaction case (1.18%). Strong correlation observed between SGPT and SGOT (r=0.787, p<0.001), consistent with established hepatic assessment parameters (Kwo et al., 2017). This multi-sectoral approach demonstrates exceptional feasibility and effectiveness of integrated community health screening programs, providing a gold-standard replicable model for comprehensive health assessment in resource-limited settings, supporting global health system strengthening initiatives (Kruk et al., 2018)