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1961 articles for “Keywords: Omega-3 fatty acids (n-3 PUFAs)” (ranking capped at the first 2,000 matches — narrow the search to see the rest)
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A Short Review on Long-Term Effects of Botox on Neuronal Sprouting: Mechanisms and Its Clinical Implications
Abstract: Botulinum toxin (Botox) is extensively used for its ability to induce temporary muscle paralysis through inhibition of acetylcholine release at neuromuscular junctions. While its short-term effects are well documented, emerging evidence suggests that chronic use of Botox may trigger neuronal sprouting, a process that could have significant long-term implications. This review synthesizes current research on the mechanisms by which Botox induces nerve sprouting and evaluates the clinical outcomes associated with …
Published in Research and Reviews: A Journal of Pharmaceutical Science · Vol. 15, Issue 3, 2024 · pp. 72–87 Read article
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NPSB Fertilizer Effect on Yield of Wheat (Triticum aestivum L.) At Wolaita Zone Sodo Zuria Woreda, South Ethiopia
Abstract: Wheat (Triticum aestivum) is one of most important cereal crop in Ethiopia. The major obstacle for farmer to produce wheat in Ethiopia was low soil fertility status and nutrient imbalance. The experiment was conduct during 2019 and 2020 ‘meher’ cropping season at Kokate substation of Areka agricultural research center at sodo zuria woreda wolaita zone south Ethiopia with objectives of evaluating the effect of NPSB fertilizers rate on yield and …
Published in Research & Reviews : Journal of Botany · Vol. 13, Issue 3, 2024 · pp. 46–52 Read article
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The Future of Open Streets, New York City
Abstract: The COVID-19 pandemic necessitated rapid adjustments to New York City public spaces, leading to the implementation of the Open Streets program by the NYC Department of Transportation (DOT). This program transformed streets across the city into pedestrian- friendly zones by limiting vehicular traffic and providing much-needed outdoor space for residents to walk, bike, and socialize safely. While successful in some areas, the program faced significant challenges. These included equity issues, …
Published in International Journal of Urban Design and Development · Vol. 2, Issue 2, 2024 · pp. 16–31 Read article
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Synthesis of Lawsonia Inermis (Henna) Carbon Supported AgO Nanocomposite, Characterizations and Photocatalytic Activity Studies
Abstract: Synthesis of Carbon supported AgO nanocomposite is reported for first time. Henna carbon was successfully synthesized from henna leaf. Bare AgO and C-AgO nanocomposites are effectively made using precipitation method. The synthesised composites structural, morphological, and optical properties are assessed using FT-IR, XRD, FE-SEM, UV-DRS, and PL techniques. FT-IR analysis proved that specific functional groups of synthesized materials. The uniform distribution of the composites is revealed in the FE-SEM. XRD …
Published in Journal of Polymer & Composites · Vol. 13, Issue 1, 2025 · pp. 749–760 Read article
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Recent Advances in Transition Metal Complexes with Phenyl Acetic Acid and Pseudo Halogen: Synthesis, Characterization and Applications
Abstract: A well established strategy is to introduce a biologically relevant organic molecule in coordination sphere of transition metal complexes to increase the selectivity and biocompatibility. Phenylacetic acid (PAA), an organic molecule with a phenyl functional group and a carboxylic acid functional group, is a phenylalanine that is generated from the naturally occurring auxin, which is extensively present in plants. The most promising outcomes in the battle against cancer and microbes …
Published in Journal of Polymer & Composites · Vol. 12, Issue 6, 2024 · pp. 68–78 Read article
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Effect of Thermal Conditioning - Mechanical Performance of Natural-Synthetic Fiber Hybrid Composites
Abstract: This study investigates the effects of thermal conditioning on the mechanical and thermal properties of banana-glass fibre hybrid composites, focusing on their tensile, flexural, impact strength, and thermal conductivity. Hybrid composites were fabricated with varying banana-to-glass fibre ratios of 70:30, 50:50, and 30:70 using a hand layup technique, followed by thermal conditioning at 60°C, 80°C, and 100°C for a specified duration. Results highlight that the 50:50 composite treated at 80°C …
Published in Journal of Polymer & Composites · Vol. 13, Issue 2, 2025 · pp. 1–11 Read article
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A Brief Review On Nanoparticles Drug Delivery System Used In Cervical Cancer
Abstract: Among cervical tumor-related deaths worldwide, cervical cancer is a major cause. The limitations of traditional methods, such as chemotherapy and radiation therapy, stem from their adverse effects and increased susceptibility to medications. Despite being seen as innovative options, immune checkpoint inhibitors (ICIs) have rather low clinical response rates. Reliable treatments for patients with metastatic or recurring cervical cancer are currently lacking. Lately, nanomaterials including polymers, liposomes, and dendrimers have been …
Published in Research and Reviews : A Journal of Life Sciences · Vol. 15, Issue 1, 2025 · pp. 30–40 Read article
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Effect of Carbon Nanotube on Mechanical Properties of Jute Fibre Reinforced Polyester Composite
Abstract: The current study studies how carbon nanotubes affect the mechanical characteristics of polyester composites reinforced with jute fiber, both treated and unprocessed. Alkali was used to cure jute textiles. Composites with treated and untreated jute fibre with 5%, 10% and 15% jute fibre loading with and without carbon nanotube were prepared using hand lay-up process. Carbon nanotubes varied from 0.2%, 0.4% and 0.6%. Tensile, flexural, and strength of impact all …
Published in International Journal of Fracture Mechanics and Damage Science · Vol. 2, Issue 2, 2024 · pp. 1–9 Read article
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Investigation of bio-physical interaction between Nanoparticles, Colloids, and biomolecules: Pharmaco-medical application.
Abstract: Currently, research into magnetic nanoparticles has become Popular. The fundamental principle involving the physics of magnetic nanoparticles is its interaction with biomolecules such as hemoglobin, DNA, and RNA. In this research, the nature Vander walls interactions, electrostatic repulsion, thermal interactions, and magnetic interaction between nanoparticles and molecule is explored. The interaction parameters such as Zeta potentials between layer, magnetic moment density, and Gibbs energy can are discussed by using DLVO …
Published in Research & Reviews : Journal of Physics · Vol. 13, Issue 3, 2024 · pp. 6–17 Read article
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Applying Kruskal's Algorithm in Supply Chain Management for Cost-Effective Network Optimization
Abstract: Transportation route optimization and cost reduction are major difficulties in today's dynamic and complicated supply chain systems. To produce economical and effective network designs, this study investigates the use of Kruskal's algorithm for supply chain network optimization. The algorithm guarantees that all supply chain nodes, including delivery hubs, warehouses, and distribution centers, relate to the lowest possible total transportation cost by building the minimum spanning tree (MST). The study shows …
Published in International Journal of Algorithms Design and Analysis Review · Vol. 3, Issue 1, 2025 · pp. 49–54 Read article
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Cardiovascular Illness Detection and Categorization with Innovative Neural Networks
Abstract: Health-related problems are increasingly prevalent in modern-day societies and are significantly shaped by a multitude of factors encountered in everyday life. Among these, cardiovascular diseases have emerged as one of the primary causes of death on a global scale, posing serious challenges to public health systems. In response to this growing concern, the present study proposes a machine learning-based framework that is not only highly effective but also reliable and …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 12, Issue 2, 2025 · pp. 21–30 Read article
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Diet(Nutrition) Recommender using Machine Learning
Abstract: In an era where maintaining a healthy lifestyle has become a priority, personalized dietary recommendations play a crucial role in guiding individuals towards achieving their nutritional goals. The Diet Recommendation System is an inno- vative application that combines user-specific data with machine learning algorithms to provide tailored dietary suggestions. This system is designed to simplify the process of meal planning and promote healthier eating habits. The Diet Recommendation System is …
Published in International Journal of Nutritions · Vol. 2, Issue 2, 2025 Read article
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Comprehensive Experimental Analysis of the Mechanical Properties and Enhancements of Natural Fiber Composites
Abstract: This research investigates the mechanical characteristics of bio-composites reinforced using jute and sisal fibers. Natural fibers have emerged as promising alternatives because of their low density, renewability, biodegradability and approving mechanical properties. The research involved fabricating bio-composite plates using the hand lay-up method with varying orientations of jute and sisal fibers. The mechanical parameters, including tensile strength, impact strength, and flexural strength, were rigorously assessed and compared across various fiber …
Published in Journal of Polymer & Composites · Vol. 13, Issue 4, 2025 · pp. 45–53 Read article
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Exploring the Role of MAPK3 in Major Depressive Disorder: Molecular Docking, Dynamics, and Binding Free Energy Analysis of Natural Compounds as Alternatives to Conventional Drugs
Abstract: Major Depressive Disorder (MDD) is a prevalent neuropsychiatric disorder with limited treatment efficacy and significant side effects associated with conventional antidepressants. Recent studies have highlighted the role of mitogen-activated protein kinase 3 (MAPK3) in the mechanisms underlying MDD, positioning it as a potential target for the development of novel therapeutic drugs. In this study, we employed various computational approaches to explore natural compounds as viable alternatives to synthetic antidepressants. Researchers …
Published in International Journal of Bioinformatics and Computational Biology · Vol. 3, Issue 2, 2025 · pp. 53–68 Read article
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The Role of Artificial Intelligence in Mental Health: Applications in Neurodegenerative Disorders
Abstract: Artificial intelligence (AI) has significantly changed many aspects of medical care, particularly the early evaluation, therapy, and management of neurodegenerative illnesses like Alzheimer's, disease, Parkinson's diseases, and Huntington's diseases. The current research explores the application of AI in mental health with respect to neurological disorders, especially advancements in cognitive examination, neuroimaging analysis, predictive modeling, and customized therapy modalities. Artificial intelligence (AI) systems have shown enormous potential in detecting minute biomarkers …
Published in Research and Reviews : A Journal of Biotechnology · Vol. 15, Issue 3, 2025 · pp. 34–40 Read article
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Clone-Specific Drug Delivery Systems: Targeted Approaches and Future Clinical Applications
Abstract: Clone-specific drug delivery systems represent a transformative frontier in personalized medicine, addressing the longstanding challenge of clonal heterogeneity within diseases such as cancer, infectious diseases, and autoimmune disorders. Traditional drug delivery platforms often fail to discriminate between pathogenic and healthy cells, leading to systemic toxicity and reduced therapeutic efficacy. In contrast, clone-specific systems aim to selectively target and eliminate disease-driving cellular clones based on unique molecular signatures, thereby improving treatment …
Published in Research & Reviews: A Journal of Drug Design & Discovery · Vol. 12, Issue 2, 2025 · pp. 21–29 Read article
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Next-Gen Techniques for Bottleneck Detection in High-Performance Computing
Abstract: Modern computing systems face new challenges in bottleneck detection and mitigation due to their increasing complexity which stems from multi-core architectures alongside distributed platforms and real-time processing needs. Traditional methods like hardware profiling and static analysis which used to work well now struggle to keep up with the changing conditions of dynamic system behaviors and diverse computing environments along with variable workload patterns. The current limitations restrict their capability to …
Published in Recent Trends in Parallel Computing · Vol. 12, Issue 2, 2025 · pp. 09–14 Read article
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Computational Study of Sombor Index on Generalized Abid–Waheed Graphs for Polymer Modeling
Abstract: This study investigates the topological properties of generalized Abid Waheed graphs. Development of theoretical models in chemistry, reducing computational complexity while analysing large molecules or networks Abid Waheed graphs play a significant role. Motivated by these findings, the research was extended to encompass generalized Abid Waheed graphs, characterized by r cycles of order s. A notable similarity between Abid Waheed graphs and Jahangir graphs was observed. The potential applications of …
Published in Journal of Polymer & Composites · Vol. 13, Issue 5, 2025 · pp. 267–274 Read article
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Controlled Release Drug Delivery Using 3D Printing Techniques: A Current Scenario In Personalized Medicine
Abstract: Three-dimensional (3D) printing is particularly influencing the pharmaceutical manufacturing sector in the creation of controlled release drug delivery systems. This technology enables the precise fabrication of personalized medicines with tailored drug release profiles, dosages, and geometries, marking a significant advancement over traditional mass production methods. An array of 3D printing techniques, including extrusion-based, powder-based, and others, can be used to build complex dosage forms that regulate drug release through processes …
Published in Trends in Drug Delivery · Vol. 12, Issue 3, 2025 · pp. 28–43 Read article
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Dual-Stream Deep Learning Framework for Brain CT Image Classification and Implications for Polymer Composite Neuro Implant Evaluation
Abstract: Early and accurate classification of brain CT images is critical for diagnosing conditions such as aneurysms, tumors, and related lesions. We present a dual-stream image-classification framework that fuses convolutional neural network (CNN) features with handcrafted Histogram of Oriented Gradients (HOG) descriptors to jointly capture global semantics and local textural cues. The pipeline begins with modality unification via pixel-wise averaging to form a fused input, which is then processed in parallel …
Published in Journal of Polymer & Composites · Vol. 13, Issue 6, 2025 · pp. 172–179 Read article