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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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Analysing the Deep Hole Drilling Characteristics of AISI 316 Alloy Using Peck Drilling Approach
Abstract: This study aims at the deep hole drilling characteristics of AISI 316 alloy utilizing the Peck drilling procedure. It is well-established that hole is the most prevalent machining process, requiring precise techniques to achieve optimal cutting conditions. AISI 316 has high corrosion resistance and mechanical features. It is widely utilized in the aerospace, vehicle, aircraft, and other industries. Due to its high modulus of elasticity, reactivity at high cutting speeds, …
Published in Journal of Polymer & Composites · Vol. 13, Issue 4, 2025 · pp. 14–28 Read article
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A Review on Kaempferol Eye Drops for the Glaucoma Treatment
Abstract: One of the main causes of permanent blindness, glaucoma is defined by gradual damage to the optic nerve, mostly brought on by oxidative stress, neuroinflammation, and high intraocular pressure (IOP). The investigation of herbal alternatives is necessary since current synthetic therapies, such as beta-blockers and prostaglandin analogs, frequently result in ocular discomfort, systemic toxicity, and poor patient compliance. Clitoria ternatea contains kaempferol, a bioactive flavonoid that has shown anti-inflammatory, antioxidant, …
Published in Trends in Drug Delivery · Vol. 12, Issue 2, 2025 · pp. 110–121 Read article
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Advances in Nanoformulations for Targeted Drug Delivery Systems
Abstract: The work examines modern nanoformulations used for enhancing targeted drug delivery systems that simultaneously produce better therapeutic effects with reduced adverse effects. The pharmaceutical industry achieved deliverable drug development progress through diverse nanocarrier innovation which encompasses liposomes and nanoparticles and dendrimers and micelles. Tissue and cell-based directed delivery becomes possible via this technology to enhance the management of neurological disorders and cancer diseases. The investigation analyzes different nanoformulations by reviewing …
Published in Trends in Drug Delivery · Vol. 12, Issue 2, 2025 · pp. 01–07 Read article
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Innovations and Comparative Analyses in Foam Concrete: A Review of Emerging Techniques and Materials
Abstract: Foam concrete, recognized for its lightweight and eco-friendly properties, is gaining prominence as a sustainable construction material. However, challenges such as low mechanical strength, performance variability, and limited environmental resistance have prompted significant innovations in recent years. This study synthesizes findings from three key studies focused on enhancing foam concrete’s performance through nanomaterials, natural fibers, and alternative lightweight aggregates. The incorporation of nano-silica and nano-calcium carbonate into coal gangue foam …
Published in Trends in Transport Engineering and Applications · Vol. 12, Issue 3, 2025 Read article
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Formation and Spectral with Nano- Study of Six and Seven Membered Ring Derivatives
Abstract: The nanoscale properties of some organic chemicals make the materials have multiple engineering, chemical, biological and industrial applications, including heterocyclic derivatives. Advanced research in this field has made it possible to use them widely as fluorinated materials and in the electronics industry. These derivatives also have good stability at different temperatures due to the presence of heterogeneous atoms within their structure. These cyclic derivatives have proven their biological effectiveness against …
Published in Journal of Modern Chemistry & Chemical Technology · Vol. 16, Issue 2, 2025 · pp. 85–95 Read article
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Artificial Intelligence in Cybersecurity: Emerging Trends, Technological Advancements, and Future Directions for Cyber Defense
Abstract: Artificial Intelligence (AI) is revolutionizing the field of cybersecurity by automating complex security tasks, improving threat detection capabilities, and enhancing the precision of threat response mechanisms. With the rapid evolution of cyber threats such as malware, ransomware, phishing, and data breaches, conventional security systems are often insufficient to provide timely and accurate protection. AI, powered by machine learning algorithms and neural networks, enables the analysis of vast datasets to detect …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 12, Issue 2, 2025 · pp. 103–112 Read article
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A Study to Evaluate Nurse Led Intervention Regarding Home Care Management Among Tuberculosis Patients Attending Chest and TB OPD at PGIMS Rohtak
Abstract: Introduction: Tuberculosis is an infectious bacterial pathogen caused by the bacillus called Mycobacteriumtuberculosis, an acid-fast rode shaped bacillus 0.8–5 μm in length and 0.2–0.6 μm in thickness. Tuberculosis (TB) primarily impacts the lungs (pulmonary TB), but it can also affect other parts of the body (extra-pulmonary TB). It spreads through the air and causes damage to the lungs and various other organs. TB is a significant public health issue in …
Published in International Journal of Emergency and Trauma Nursing and Practices · Vol. 3, Issue 1, 2025 · pp. 31–36 Read article
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Nitro IDE: Exploring Integrated Development Environments: Current Trends and Innovations
Abstract: Integrated Development Environments (IDEs) have become essential in modern software development, offering a centralized platform that brings together source code management, debugging tools, version control, and compilation features. This study offers an in-depth analysis of various IDE platforms, with a particular focus on Eclipse as a widely used open-source integration environment. It also explores specialized IDEs tailored for embedded systems and enterprise-level Java (J2EE) application development. Additionally, the study examines …
Published in Journal of Open Source Developments · Vol. 12, Issue 2, 2025 · pp. 35–40 Read article
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Polymer Chemistry and Its Applications in Pharmaceutical Composite Formulations
Abstract: Polymer chemistry plays a critical role in pharmaceutical formulations, particularly in enhancing drug stability, bioavailability, and controlled release. Polymers are widely utilized in drug delivery systems. Polymers are widely used in pharmaceutical sciences for drug delivery, controlled release, and stability enhancement. This paper explores the role of polymers in the extraction and formulation of glycyrrhetinic acid from Glycyrrhiza glabra, a bioactive compound. Various polymer-based extraction and purification techniques are discussed, …
Published in Journal of Polymer & Composites · Vol. 13, Issue 6, 2025 · pp. 216–221 Read article
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Fungal-derived Nutraceuticals & Bioactive Compounds with Physiotherapeutic and Health- promoting Properties: A Comprehensive Review
Abstract: Fungal-derived nutraceuticals represent a rapidly expanding field in biomedical research, offering a rich source of bioactive compounds with diverse therapeutic applications. This comprehensive review examines the physiotherapeutic and health-promoting properties of fungal metabolites, including polysaccharides, terpenes, proteins, peptides, alkaloids, fatty acids, vitamins, and minerals. Fungi produce over 9,000 bioactive compounds from approximately 22,500 microbial metabolites, with less than 5% of the fungal kingdom explored [1] . The major bioactive constituents …
Published in International Journal of Fungi · Vol. 2, Issue 2, 2025 Read article
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Silage Beyond Green Fodder: Nutritional, Health, Economic and Environmental Implications for Sustainable Livestock Production
Abstract: Silage is a pivotal component in modern livestock feeding systems, offering far more than just an alternative to green fodder. This study explores the multifaceted roles of silage in enhancing livestock nutrition, health, and overall farm sustainability. The preservation of crops through fermentation allows for year-round availability of high-quality feed, ensuring consistent nutritional intake, particularly during periods of forage scarcity. Beyond its basic function as a feedstuff, silage improves the …
Published in Research & Reviews : Journal of Agricultural Science and Technology · Vol. 14, Issue 2, 2025 · pp. 01–23 Read article
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Design, Synthesis, and Evaluation of Novel Quinazoline Derivatives as Anti-Inflammatory Agents
Abstract: Novel quinazoline derivatives are well-known heterocyclic scaffolds that are renowned for having a wide range of biological functions. A new quinazoline derivative was synthesized from anthranilic acid through a multi-step sequence involving amide formation, cyclization, and aromatic group substitution. The structure of the methoxy- and chloro-substituted final compound was confirmed by IR and 1H NMR spectroscopy. Evaluation of synthesized molecules anti-inflammatory activity using paw edema caused by carrageenan paradigm in …
Published in Research & Reviews: A Journal of Drug Formulation, Development and Production · Vol. 13, Issue 1, 2026 · pp. 01–09 Read article
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Experimental Analysis of Wear Characteristics in Natural Fibre Composite Materials
Abstract: In mechanical systems, energy loss and material degradation due to attrition are frequently the consequences of sliding contacts, which frequently lead to premature system failure. In this study, at 50°C, 80°C, and 110°C, the hardness was tested; the results showed that the values were 350.7, 422.5, and 455.5 HV, respectively. After conducting a high-temperature wear test, the mass loss of the as-deposited composite coatings was assessed by an electrochemical approach …
Published in Journal of Polymer & Composites · Vol. 13, Issue 6, 2025 · pp. 444–450 Read article
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Study on the Method of Constructing a System of Linear Equations for Calculating Aerodynamic Derivatives
Abstract: The aerodynamic derivatives can be calculated from the unsteady hydrodynamic forces experienced by the harmonic-oscillating vehicle. Until now, unsteady flow field analysis in aerodynamic derivative calculations has been applied mainly to thin bodies based on potential theory MSC. Nastran is a typical application based on potential theory MSC. Natran can calculate the aerodynamic derivatives of the vehicle relatively well in the subsonic region, but in the supersonic region, the fuselage …
Published in Journal of Experimental & Applied Mechanics · Vol. 16, Issue 3, 2025 · pp. 14–24 Read article
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Resilient Shell-Based Networking Frameworks for DTN Environments: Enhancing Reliability and Security across Disrupted and High-Latency Satellite Channels
Abstract: The foundation of DTN, as suggested by the Internet Research Task Force (IRTF), is the definition of a suite of protocols that function in networks with periodic disconnections and long- duration route conditions. A permanent end-to-end channel from the source to the destination is the foundation of traditional IP-based networking. However, DTN employs a store-carry- forward approach that gives intermediary nodes the ability to temporarily hold messages (or bundles) until …
Published in Journal of Advances in Shell Programming · Vol. 12, Issue 3, 2025 Read article
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Knowledge and Implementation of Infection Control Measures Among Nurses Caring for Patients with Chemical Gas Exposure
Abstract: The purpose of this study was to evaluate the level of knowledge and the extent of implementation of infection control measures among nurses caring for patients exposed to chemical gases. A descriptive cross-sectional design was adopted, and a sample of staff nurses working in clinical settings with potential chemical exposure roles was selected using convenience sampling. Data were collected via a structured questionnaire assessing knowledge of chemical inhalation hazards and …
Published in International Journal of Emergency and Trauma Nursing and Practices · Vol. 3, Issue 2, 2025 · pp. 56–60 Read article
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Emotion Recognition from Electroencephalogram Signal and Eye Movement Based on Deep Learning
Abstract: Emotion recognition from electroencephalogram (EEG) signals has gained significant attention due to its potential in human- computer interaction (HCI), mental health monitoring, and personalized content delivery. This paper presents the use of Convolutional neural networks (CNNs) to classify emotions such as happiness, sadness, fear, neutral, and disgust by leveraging a fusion of EEG signals and eye movements data. Compared to conventional methods of emotion detection, such as those that rely …
Published in International Journal of Optical Innovations & Research · Vol. 3, Issue 2, 2025 · pp. 8–15 Read article
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Nutrition Induced Gut Microbiota Modulation in Food Animals: Implications for Viral Susceptibility, Shedding and Transmission Dynamics for Sustainable Development
Abstract: The gut microbiota has emerged as a central mediator linking host nutrition, immune competence, and vulnerability to viral pathogens in food animals. Diet is a primary driver of microbial community structure and function, influencing metabolite production, intestinal barrier integrity, and systemic antiviral immunity. Accumulating evidence indicates that nutrition induced modulation of the gut microbiota can substantially alter viral susceptibility, replication, and shedding patterns, with downstream effects on transmission dynamics within …
Published in International Journal of Virus Studies · Vol. 3, Issue 1, 2026 · pp. 46–56 Read article
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Alcohol, Circadian Glymphatic Dysfunction, and Neurodegenerative Protein Accumulation: An Emerging Concern in the Indian Context
Abstract: Alcohol consumption has long been identified as a major public health issue, yet its deeper and more subtle effects on the human brain are only now coming into sharper focus. Traditional explanations often emphasize direct neuronal damage, but emerging research in neuroscience suggests a more intricate story. Recent findings indicate that alcohol not only harms brain cells but also disrupts the body’s internal biological clock—the circadian rhythm—which plays a critical …
Published in International Journal of Brain Sciences · Vol. 3, Issue 1, 2026 · pp. 1–4 Read article
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AI-Assisted Gain Scheduling for Real-Time Temperature Control in Chemical Reactors
Abstract: Temperature control in continuous stirred-tank reactors (CSTR) represents a critical challenge in chemical process industries due to inherent nonlinearities, time-varying dynamics, and parametric uncertainties. Conventional proportional-integral-derivative (PID) controllers with fixed gains often fail to maintain optimal performance across varying operating conditions, leading to temperature excursions that compromise product quality and safety. This paper presents a novel AI-assisted gain scheduling framework that integrates artificial neural networks (ANN) with adaptive PID control …
Published in Journal of Control & Instrumentation · Vol. 17, Issue 1, 2026 · pp. 24–33 Read article