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384 articles for “bi-directional”
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Encapsulation of Karela Extract in Polymer Nanoparticles
Abstract: Karela (Momordica charantia) fruit extract possesses promising antibacterial properties. However, its direct application can be limited by factors like degradation and uncontrolled release. This study explores the encapsulation of Karela extract within biocompatible and biodegradable polymeric nanoparticles as a potential strategy to enhance its efficacy. The research investigates the development of nanoparticle systems using various polymers and their impact on the stability, controlled release, and antibacterial activity of the encapsulated …
Published in Journal of Polymer & Composites · Vol. 13, Issue 1, 2025 · pp. 864–867 Read article
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Strategic Optimization of CNC Machining in Production Systems: A Managerial Review of Methods, Metrics, and Industry 4.0 Integration
Abstract: Computer numerical control (CNC) machining has significantly influenced modern production systems by enabling higher efficiency, quality, and sustainability. As industrial operations strive for leaner production and strategic competitiveness, optimization of machining parameters—including cutting speed, feed rate, depth of cut, and tool path strategies—has emerged as a cornerstone of production planning. This review evaluates the optimization methodologies developed from 2015 to 2025, spanning traditional mathematical models to artificial intelligence (AI)-driven metaheuristic …
Published in Journal of Production Research & Management · Vol. 15, Issue 2, 2025 · pp. 25–30 Read article
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Liposomes as Therapeutic Vehicles: Advancing Targeted Drug Delivery in Healthcare
Abstract: Liposomes represent an innovative approach to targeted drug delivery. These tiny, lipid-based vesicles can encapsulate medications, allowing them to travel directly to diseased cells while minimizing impact on healthy tissues. By using liposomes, medications can improve their effectiveness while reducing side effects, leading to better overall treatment results.. Their structure enables a controlled release of the drug, which can be particularly beneficial for therapies requiring sustained action. This technology holds …
Published in Research & Reviews: A Journal of Drug Design & Discovery · Vol. 11, Issue 3, 2024 · pp. 39–46 Read article
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AI-Driven Exam Evaluation Systems: Challenges, Innovations, and Future Directions
Abstract: A proposed AI system is used to grade exams automatically. It addresses inefficiencies in human assessment. A GPT model trained on graded replies is used for evaluation, and TrOCR is used for precise handwritten text recognition. Efficiency and less bias are provided by this method, although there are still issues. More work is needed to assess open-ended questions and make sure they are understandable. To automate many aspects of exam …
Published in International Journal of Electronics Automation · Vol. 2, Issue 2, 2024 · pp. 7–13 Read article
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A Review on Unmasking Merkel Cell Polyomavirus: From Discovery to Cancer Driver
Abstract: Merkel cell polyomavirus (MCPyV) is a small, non-enveloped, circular double-stranded DNA virus belonging to the Polyomaviridae family, first characterized in 2008. Epidemiological data suggest widespread exposure, with seroprevalence rates approaching 80% in adults. While primary infection is typically asymptomatic, rare integration events in Merkel cells can initiate oncogenesis, yielding Merkel cell carcinoma (MCC), a neuroendocrine skin cancer with a five-year survival rate under 60%. This review integrates findings from six …
Published in International Journal of Virus Studies · Vol. 2, Issue 2, 2025 · pp. 6–11 Read article
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Nano‑Enabled CT for Cancer Imaging: From Molecular Targeting to Image‑Guided Therapy
Abstract: Nano‑enabled computed tomography (CT) exploits high‑atomic‑number (high‑Z) nanomaterials engineered with targeting ligands and therapeutic payloads to enhance contrast, enable molecular imaging, and support image‑guided interventions in oncology. Tumor‑specific nanoprobes such as RGD‑modified gold nanorods, polymer‑coated bismuth nanoparticles, and peptide, antibody, or aptamer‑functionalized platforms can intensify tumor conspicuity, allow early lesion detection and staging, and provide real‑time treatment monitoring. Integration of CT visibility with photothermal, photodynamic, chemo‑, radio‑, and immunotherapeutic functions …
Published in Nano Trends – A Journal of Nano Technology & Its Applications · Vol. 28, Issue 1, 2025 · pp. 40–49 Read article
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Introduction to Biological Networks and their Contributions to Systems Biology
Abstract: Biological networks provide a conceptual framework to represent and analyze the intricate interconnections among the numerous components that make up living systems. This review paper elucidates the foundational principles of networks and their diverse applications in systems biology, highlighting their crucial role in understanding the inherent complexity of biological processes. Utilizing graph theory, these networks represent entities like genes, proteins, and metabolites as nodes, with their interactions depicted as edges. …
Published in International Journal of Bioinformatics and Computational Biology · Vol. 2, Issue 1, 2024 · pp. 53–70 Read article
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Examining Experimentally the Impact of Spot-Welding Process Variables on Metal Matrix Composites
Abstract: Metal matrix composites work in concert with reinforcement to improve the material's qualities. Reliability in joining metal matrix composites using traditional methods is challenging. Friction Stir Welding has demonstrated the ability to solve numerous issues that arise in traditional welding procedures. Initially, the Friction Stir Welding (FSW) welding procedure produced metal seams that were solid. Additionally, FSW was expanded to join MMCs and their alloys. The purpose of this review …
Published in Journal of Polymer & Composites · Vol. 13, Issue 5, 2025 · pp. 193–201 Read article
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A Machine Learning-Based Non-Invasive System for Blood Group Prediction Using Fingerprint Biometrics
Abstract: The research is targeted at the creation of innovative solution "Fingerprint Based Blood Group Prediction" for instant, non-invasive blood group determination from analysis of finger impressions, a breakthrough possibility in emergency health care. Sophisticated machine learning can be employed to map fingerprint patterns to corresponding blood group information and overcome the current lack of a direct connection between the two. Integration of various technologies: employed React for frontend development, Flask …
Published in Research & Reviews: A Journal of Bioinformatics · Vol. 12, Issue 3, 2025 · pp. 9–18 Read article
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Effect of Fiber Weight Fraction on the Mechanical Performance of Calotropis Gigantea Fiber-Reinforced Polyester Composites
Abstract: Natural fiber-reinforced composites have attracted more attention as environmentally friendly substitutes to synthetic materials since the move towards a sustainable approach to engineering materials has gained in popularity. This paper focuses on the potential use of Calotropis gigantea (CG) stem fibers as laminate reinforcement with bio-composites made through an unsaturated polyester resin (GP) system. Super strength fibers were pulled out, treated with alkaline to boost interfacial adhesion, and positioned in …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 339–349 Read article
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India’s Traditional Medicine Trade (2015–2024): Trends, Regulatory Landscape, and Policy Directions for Sustainable Growth
Abstract: India is a major global supplier of traditional medicine products – including Ayurvedic, Unani, Siddha, homeopathic, and other herbal and plant-based formulations – yet exports continue to face challenges arising from regulatory divergence, heterogeneous quality-control requirements across markets, and raw-material supply constraints linked to biodiversity pressure and fragmented value chains. This paper systematically analyzes India’s import-export patterns for traditional medicine between 2015 and 2024, maps the regulatory landscape (DGFT, Drugs, …
Published in Research & Reviews : A Journal of Unani, Siddha and Homeopathy · Vol. 13, Issue 1, 2026 · pp. 13–18 Read article
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Isolated Bidirectional Flyback Converter in EV Charging and V2G Systems: A State-of-the-Art-Review
Abstract: The growing adoption of electric vehicles (EVs) and the potential of Vehicle-to-Grid (V2G) technology underscore the importance of efficient and reliable isolated bidirectional DC-DC converters in EV charging systems. The market for electric vehicles (EVs) is expanding at an exponential rate due to the worldwide trend towards sustainable transportation, with electric mobility emerging as a crucial way to lower carbon emissions and rely less on fossil fuels. This review examines …
Published in International Journal of Electrical Power and Machine Systems · Vol. 2, Issue 2, 2024 · pp. 23–32 Read article
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Sustainable Livestock Management Practices: Reducing Environmental Impact, Improving Animal Welfare, and Increasing Productivity
Abstract: Sustainable livestock management is essential for addressing the increasing global demand for animal products while reducing environmental impact, safeguarding animal welfare, and sustaining productivity. This review explores sustainable approaches in livestock farming, emphasizing strategies to reduce environmental degradation, enhance animal welfare, and boost productivity. Environmental impacts, including greenhouse gas emissions, nutrient runoff, and water usage, present significant challenges. Sustainable practices such as efficient nutrient management, low-emission breeding, dietary interventions, and …
Published in Research and Reviews : Journal of Veterinary Science and Technology · Vol. 13, Issue 2, 2024 · pp. 23–27 Read article
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A New Developed Photoelectrochemical Cell for Hydrogen Generation
Abstract: There are many methods for the industrial production of hydrogen, including: steam reforming of methane and natural gas; coal gasification; biotechnology; electrolysis of water, etc. The most effective method of obtaining of pure hydrogen is the use of photoelectrochemical cell. Photoelectrochemical cells produces hydrogen directly from solar energy. In a photoelectrochemical cell, a silicon semiconductor with an anode attached to it, immersed in an aqueous electrolyte solution and excited by …
Published in International Journal of Photochemistry and Photochemical Research · Vol. 1, Issue 1, 2023 · pp. 01–10 Read article
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Advancing Conductive Ink Formulations for DIW with Graphene and Hybrid Nanostructures
Abstract: The development of solvent-based conductive inks for direct ink writing (DIW) has gained significant attention as a pathway toward flexible, wearable, and scalable electronic devices. This review critically examines conductive fillers, binders, solvent systems, and hybrid ink strategies reported in recent literature. Graphene and carbon nanotubes (CNTs) remain the most studied fillers due to their high intrinsic conductivity and unique dimensionality, but challenges such as restacking, bundling, and high viscosity …
Published in Journal of Thin Films, Coating Science Technology & Application · Vol. 12, Issue 3, 2025 · pp. 36–49 Read article
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Steam Activated Carbon Material from the Fruit Shells of Sterculia foetida for Energy and Environmental Applications
Abstract: Steam activation of the biochar from Sterculia foetida forms a green route for the synthesis of activated carbon material with high specific surface area (1017 m2/g). The corresponding value with a chemical activating agent (K2CO3) is much lower (596 m2/g). Structural parameters of the activated carbon materials were deduced from XRD studies. Moreover the thermal stability of the activated carbon materials from steam activation is nearly 100°C higher than that …
Published in Journal of Water Pollution & Purification Research · Vol. 11, Issue 1, 2024 · pp. 23–33 Read article
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Theoretical Study of Z = 122 Nuclei
Abstract: We used atomic nuclei with proton number Z = 122 to calculate bulk properties within the relativistic mean field (RMF) theory. We utilized the force parameters recognized as NL3 in our calculations. We extend our calculation to isotopic series of Z = 122 and analyses the theoretical outcomes. A whole isotopic chain of nuclei with atomic number 𝑍 = 122 Z=122 is included in our inquiry, enabling a methodical examination …
Published in Journal of Nuclear Engineering & Technology · Vol. 16, Issue 1, 2026 · pp. 1–9 Read article
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Data Mining for E-Commerce and Social Media: Insights and Future Research Directions
Abstract: The fast expansion of e-commerce and social media has heralded a new era of data-rich settings, with enormous quantities of user interactions, preferences, and transactions generated on a daily basis. Data mining has developed as a critical strategy for leveraging big datasets, allowing businesses to gain concrete knowledge and drive decision-making. Data mining in e-commerce improves operational efficiency and user pleasure by allowing for personalized recommendations, consumer segmentation, fraud detection, …
Published in E-Commerce for Future & Trends · Vol. 12, Issue 1, 2025 · pp. 14–23 Read article
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Thermodynamic Irreversibility in Semen Transport
Abstract: Sperm ejaculation is a vital reproductive process that involves both complex biological functions and energetic mechanisms. Beyond the physiological aspects, thermodynamics offers a framework to analyze energy conversion, exergy use, and irreversibility during sperm activity. ATP provides the main source of exergy for motility, but part of this energy is inevitably lost as heat and entropy generation, reflecting inefficiencies in the process. Because heat regulation directly affects metabolic rates, motility …
Published in Journal of Thermal Engineering and Applications · Vol. 13, Issue 1, 2026 Read article
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Revolutionizing oncology - role of artificial intelligence in early cancer detection and diagnostic advances-A comprehensive review
Abstract: Oncology has experienced a remarkable transformation with the adoption of artificial intelligence (AI), which has greatly enhanced cancer detection and diagnosis. As one of the leading causes of death worldwide, cancer highlights the importance of early detection in improving patient outcomes and survival rates. AI’s ability to analyze vast and complex datasets has enabled groundbreaking innovations in imaging, pathology, biomarker discovery, and predictive analytics. This review highlights key AI-driven advancements …
Published in Research and Reviews: Journal of Oncology and Hematology · Vol. 14, Issue 1, 2025 · pp. 18–22 Read article