Journal for Research in Applied Sciences and Biotechnology
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The Ultimate Herb for Overall Wellness - A Comprehensive Review
Full text linkHoly basil, or Tulsi, is a plant native to the Indian subcontinent that is highly valued in Siddha and Ayurvedic medicine for its therapeutic properties. Tulsi has been shown to shield organs and tissues from physical stressors such as extended physical activity, ischemia, physical restraint, exposure to cold, and loud noises, as well as chemical stressors including industrial pollution and heavy metals. Additionally, Tulsi has been demonstrated to mitigate psychological stress by improving memory and cognitive performance and by lowering blood pressure, cholesterol, and blood glucose levels. It has also been demonstrated to mitigate metabolic stress by having anxiolytic and antidepressant qualities. The predominant cause of global morbidity and mortality is lifestyle-related chronic diseases, many of which can be addressed through Ayurveda with its focus on healthy lifestyle practices and regular consumption of adaptogenic herbs. Scientific studies are increasingly verifying the health benefits of Tulsi (Ocimum sanctum Linn), the most important plant in Ayurveda. Tulsi has a special mix of pharmacological activities that have been shown to alleviate physical, physiological, metabolic, and psychological stress. The broad-spectrum antimicrobial activity of Tulsi, which includes activity against a variety of human and animal pathogens, indicates that it can be used as a mouthwash, hand sanitiser, and water purifier in addition to being used in wound healing, animal rearing, food preservation, the preservation of herbal raw materials, and traveller’s health issues
Comparing Phytochemicals and Conventional Antibiotics: Mechanisms, Affinities, and Therapeutic Potential Review
Full text linkBy the way, this current project is going to demonstrate to us the role of phytochemicals in the fight against antibiotic-resistant bacteria together with the traditional antibiotics. The antibacterial mechanisms of the various phytochemicals from different plants are not limited to just a single one e.g., enzyme inhibition. They also include cell membrane disruption and DNA synthesis inhibition. EGCG, curcumin, and cinnamaldehyde exhibited almost the same effectiveness as the usual antibiotics which become the first step if these compounds are used either individually or in combination with the usual antibiotics. While the conventional antibiotics may be more potent against bacteria, phytochemicals are less toxic and have a reduced chance of resistance insurgence. Based on this review, natural products from plants must be combined with standard treatments in search of enhanced treatment efficacy and, consequently, expanded choices in treatments. The findings have also proved that phytochemicals are effective antimicrobial agents and play a role in a multifaceted approach in the fight against bacterial infection and resistance to antibiotics
Economic Value of Cross-Cultural Communication in Tripura\u27s Healthcare System: A Comprehensive Analysis
Full text linkMarburg virus disease is a severe and often fatal hemorrhagic fever that poses a significant threat to global health. Its high transmissibility, incubation period, and nonspecific symptoms hinder early detection and effective containment. Limited public awareness, delayed diagnosis, and restricted access to reliable health information further heighten the risk of widespread outbreaks.
This study develops a mathematical model for Marburg virus transmission using a compartmental SEIR (Susceptible, Exposed, Infectious, Recovered) framework. The inclusion of an Exposed compartment captures the latent period before symptom onset, improving the accuracy of disease progression modeling. Key parameters, such as the basic reproduction number , are estimated to evaluate the virus\u27s potential for sustained transmission. Sensitivity and stability analyses identify the most critical factors influencing outbreak dynamics and thresholds for containment.
To guide intervention efforts, optimal control strategies such as public education, early diagnosis and treatment, case isolation, and vector control are incorporated into the model. Numerical simulations and cost-effectiveness assessments demonstrate that combined strategies can reduce infection rates and lower below the epidemic threshold.
Despite data limitations and implementation challenges, this model offers valuable insights for public health decision-making, emphasizing the need for integrated and timely responses to prevent future Marburg virus outbreaks
Biotechnological Valorization of Agri-Food Waste: A Pathway to Circular Bioeconomy
Full text linkBackground: Food waste is a major global challenge, with nearly one-third of food produced lost annually, resulting in environmental, economic, and social consequences. In countries such as India, fragmented supply chains and limited infrastructure further intensify the problem. Purpose: This review highlights the role of biotechnology as a transformative driver in valorizing agri-food residues and integrating them into a circular bioeconomy framework. Methods/Scope: The article synthesizes findings on diverse feedstocks including soybean okara, potato residues, citrus peels, cruciferous vegetables, and other fruit–vegetable by-products. It further evaluates biotechnological pathways such as fermentation, enzymatic processing, single-cell protein production, biofertilizers, biodegradable biomaterials, and complementary bioenergy recovery. Applications: Valorization products demonstrate wide-ranging applications in food fortification, nutraceuticals, animal feed, sustainable packaging, pharmaceuticals, and functional ingredients. These conversions not only reduce waste accumulation but also generate economic value. Policy Perspective: The review connects food waste valorization to Sustainable Development Goals (SDGs), with emphasis on zero hunger, renewable energy, responsible consumption, and climate action. Global (EU, FAO) and national (India’s bio-waste initiatives) frameworks are discussed alongside technological, economic, regulatory, and social challenges. Findings: Current evidence suggests that integrated biorefineries and digital technologies can enhance process efficiency and scale-up potential. Policy incentives and consumer trust will be crucial for successful implementation. Conclusion: Biotechnology provides a scalable pathway to transform food system residues into high-value products, positioning waste valorization as both an environmental necessity and an economic opportunity. The review emphasizes the critical importance of coordinated engagement among multiple stakeholders to promote sustainable food systems and expedite the shift toward a circular bioeconomy
Mechanisms & Applications of Quantum Tunneling in Quantum Dots, Nanowires and Tunnel Junctions
Full text linkQuantum tunneling is a fundamental quantum-mechanical phenomenon that enables particles to traverse potential barriers even when their classical energy is insufficient for surmounting them. At nanoscale dimensions, tunneling governs transport behaviour, influencing charge conduction, spin dynamics, quantum coherence, and device switching characteristics. This research describes in-depth an entire tunneling mechanisms assessment that covers different applications in quantum dots, nanowires, and tunnel junctions’ industries. The papers major points were theoretical concepts, device-dependent tunneling effects, fabrication issues, and new uses in quantum computing, spintronics, nano-optoelectronics, neuromorphic computing, and energy systems. The comparison is made among three different types of nanostructures, and the areas of research that will be most likely affected by the progress of materials and quantum engineering techniques are pointed out
Consideration of the Impact of Solar Energy Utilization on Reducing Air Pollution
Full text linkAir pollution is one of the most significant and prominent threats to the environment and public health worldwide. It has destructive and considerable impacts on human health, ecosystems, and sustainable development. More than 90% of the world\u27s energy demand is met through fossil fuels, which are the primary source of greenhouse gas emissions and air pollutants. This article examines the impact of solar energy utilization on reducing air pollution. By reviewing previous research and presenting empirical data, the study demonstrates that solar technologies including photovoltaic systems, solar thermal systems, and concentrated solar power (CSP) plants can effectively reduce emissions of pollutants such as CO₂, NO₂, and SO₂. Results show that installing solar power systems, even with limited capacity, leads to energy savings, reduced fossil fuel consumption, and lower greenhouse gas emissions. For example, installing a 20-kilowatt photovoltaic system can generate over 60,000 kilowatt-hours of electricity annually and reduce CO₂ emissions by approximately 43 tons. These results highlight the importance and effectiveness of solar energy in improving air quality and protecting the environment
AI in Behavioral Economics and Decision-Making Analysis
Full text linkArtificial Intelligence (AI) have greatly transformed the science of Behavioural Economics and decision-making in applications predominantly on digital marketplaces, finance among others. Research examines the AI impact on consumer decision making, pricing and financial decision making with a specific emphasis on the Indian e-cockpit and fin-tech. By utilizing AI-driven recommendation systems, dynamic pricing models, and behavioral nudging techniques, businesses can enhance user engagement and optimize sales. The research examines Flipkart’s AI-powered recommendation system as a case study, revealing that AI-driven personalization has led to a 25% increase in sales and a 30% rise in user engagement. However algorithmic bias, data privacy and transparency ethical aspects are formidable challenges. Results show that AI tracking users with 58% of the user’s express worries about this algorithmic bias in financial decisions and access to loans/investment opportunities Even this study brings to light the requirements for human interpretability of AI models, stronger data privacy laws and ethically-grounded implementation of responsible AI. The next step for future research should be devising an explainable AI infrastructure that maintains technological advancement through fairness, transparency and user power
Knee Osteo Arthritis - A Review of Literature
Full text linkKnee osteoarthritis (OA) is a common degenerative joint disorder characterized by progressive cartilage degradation, subchondral bone changes and inflammation, resulting in pain, stiffness, and functional impairment. It is a leading cause of disability, particularly among older adults, although younger individuals may also be affected due to factors such as injury, obesity, or genetic predisposition. Conventional management includes non-pharmacologic interventions (e.g., physical therapy, weight management), pharmacologic treatments (NSAIDs, corticosteroids, hyaluronic acid injections) and surgical options in advanced cases. In recent years, interest in complementary and alternative therapies, such as homeopathy, has grown as part of a holistic approach to managing knee OA. Homeopathy aims to treat the individual holistically, focusing on symptom relief and improving quality of life, with remedies such as Arnica montana, Rhus tox and Bryonia alba etc are commonly used for pain, inflammation, and joint stiffness. This article reviews the pathophysiology, diagnosis, and homoeopathic treatment strategies for knee OA, while also exploring the role of homeopathy in managing the condition
Linguistic and Statistical Analysis of Audio Texts
Full text linkThis article provides an in-depth analysis of the phonetic, morphological, and syntactic features of Uzbek audio texts based on linguostatistical analysis. The study integrates modern information and communication technologies, particularly natural language processing (NLP), speech technologies, and corpus linguistics methods. The article scientifically examines phonetic analysis (elision, assimilation, coarticulation), morphological modeling (word forms, affixes), and syntactic structures (asyndetic sentences, introductory words) conducted on audio texts. The Praat software was used for experimental analysis, while the uzbekcorpus.uz platform was utilized for statistical modeling. Based on the research results, practical recommendations are provided for creating automatic transcription, machine translation, ASR, and NLP systems for the Uzbek language. This article contributes to new scientific directions within the framework of integrating linguistics and artificial intelligence
An In-Depth Systematic Review on the Frequency, Risk Contributors and Implications of Dysmenorrhea Among Female University Students
Full text linkDysmenorrhea is one of the most common gynecological problems among young women, with studies from India, Ethiopia, and Turkey reporting prevalence rates ranging from 25.5% to 93%. Contributing factors include early menarche, low body weight, family history, lifestyle habits, and specific menstrual characteristics. The condition frequently interferes with social participation and academic responsibilities, yet many affected women do not seek medical attention. The present review aims to assess the prevalence of dysmenorrhea among university students, identify major contributing factors, evaluate its impact on health and academic performance, and examine commonly adopted management and coping strategies. A comprehensive literature search was conducted using Web of Science, Scopus, Cochrane Library, and MEDLINE (via PubMed) to ensure high sensitivity in identifying relevant studies. Findings indicate that dysmenorrhea is highly prevalent among female university students, with significant implications for their well-being and educational engagement. These results emphasize the need for greater awareness, early diagnosis, and holistic management approaches to improve outcomes