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1958 articles for “N” (ranking capped at the first 2,000 matches — narrow the search to see the rest)
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Nanotechnology Application in Neural Growth Support System
Abstract: With its ability to transfer electric impulses, make contact with neurons, and mimic the environment of neurons, carbon nanotubes have been intriguing candidates for the development of scaffolding that could promote neuronal growth and division. In order to encourage the growth and development of human brain cells, the researchers developed biodegradable composite scaffolding comprised of interconnected carbon nanotubes dispersed in the poly-L-lactic acid substrate. To imitate the guiding inputs of …
Published in Nano Trends – A Journal of Nano Technology & Its Applications · Vol. 24, Issue 2, 2022 · pp. 47–55 Read article
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Mechanical Performance Degradation of Naturally Aged Nitrile Butadiene Rubber in Low Frequency Range...
Abstract: For good mechanical design, damping is often still an invisible requirement. Nitrile Butadiene Rubber (NBR) has a wide range of applications as a damping and sealing material. To offer the long-term service of NBR, it is important to estimate the degradation of modal properties under complex mechanical and environmental loading. The present work aims to correlate the experimental data with generalized higher-order Maxwell models and curve fitting techniques to find …
Published in Journal of Polymer & Composites · Vol. 10, Issue 1, 2022 · pp. 68–79 Read article
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Artificial Neural Network Modelling to Optimize Micro-Drilling Parameters of ECDM of Developed Novel Zn/(Ag+Fe)-MMC
Abstract: Several engineering fields have increased their use of metal matrix composites (MMCs) in the past few years. Due to the increase in composites, the demand for accurate machining has also become important. Specifically, pertaining to biomaterial applications, accuracy factor with desired surface finish is critical. While the near-net shape manufacturing process has advanced, MMCs frequently require post-mould machining to achieve surface quality, and dimensional tolerances. In the present study, a …
Published in Journal of Polymer & Composites · Vol. 11, Issue 1, 2023 · pp. 01–13 Read article
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Green Synthesis of Copper Nanoparticle for the Treatment of Neurodegenerative Disease
Abstract: The study of ecologically friendly CuNP synthesis is a growing area with potential applications in biomedical research and environmental remediation, as well as sustainable nanotechnology. Generally, reducing, and stabilizing agents such as microbes, plant extracts, or other natural sources are used. The green synthesis methodology guarantees the production of nanoparticles with desired characteristics for biomedical applications while simultaneously mitigating the environmental effect that comes with conventional chemical processes. CuNPs possess …
Published in Research and Reviews : A Journal of Biotechnology · Vol. 14, Issue 1, 2024 · pp. 13–24 Read article
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Impact of Online Nursing Education: Nursing Students’ Knowledge Towards Patient Safety in Nursing Academic Institution, Kolkata, West Bengal, India
Abstract: Introduction: Online education is rapidly growing as an alternative way of preparing nursing students since the COVID-19 pandemic outbreak. The future healthcare workforce has shifted to an online mode of education. Objectives: To assess the impact of online nursing education and nursing students’ knowledge on patient safety. Method: A descriptive study was done among 209 nursing students using a random sampling technique. Data were collected from demographic information on online …
Published in International Journal of Community Health Nursing And Practices · Vol. 2, Issue 1, 2024 · pp. 15–21 Read article
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Enhancing Image Classification Performance with Deep Neural Networks
Abstract: Classifying images is useful in many domains, including the study of plant diseases and the analysis of human expressions. Image categorization employing the idea of a “deep neural network” helps to compact otherwise cumbersome photos. It is possible to classify images by using the idea of a “deep neural network”. Self-driving cars, medical diagnosis, automatic translation, etc., all make use of Deep Neural Networks. Recently, excellent results have been achieved …
Published in Journal of Telecommunication, Switching Systems and Networks · Vol. 11, Issue 1, 2024 · pp. 13–23 Read article
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Impact of Demonetization on Banks: Study on NPA of Public Sector Banks in Context with How to Stabilize NPA
Abstract: The banking sector is the pillar of the economy but now it has become the complete foundation of it. Business industries are developing, and the banking sector also benefits by expanding its activities. Other banking services charges are the medium of generating opportunity to getting more non fund base income. Nowadays banking sector has taken advantages of new technology for providing better services to their customers with less charges. Traditional …
Published in E-Commerce for Future & Trends · Vol. 11, Issue 2, 2024 · pp. 29–33 Read article
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Use of Nano-Formulated Ayurvedic Medicines: A Bridge Between Tradition and Modern Science in South India
Abstract: The integration of nanotechnology with traditional Ayurvedic medicine represents an exciting and emerging area of healthcare innovation. By combining the age-old wisdom of Ayurveda with the precision and efficiency of modern nanotechnology, researchers are developing new ways to enhance the effectiveness of herbal treatments. Nanotechnology allows for the creation of tiny drug delivery systems that can improve how Ayurvedic medicines are absorbed and utilized in the body, potentially making them …
Published in Nano Trends – A Journal of Nano Technology & Its Applications · Vol. 27, Issue 3, 2025 Read article
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Towards a Safer Nuclear Future: Safety, Security, and Proliferation
Abstract: The worldwide spread of nuclear technology creates both possibilities and hazards, thereby requiring a thorough strategy for nuclear safety, security, and non-proliferation. This paper looks at the linked issues of stopping nuclear accidents, protecting materials from nefarious use, and controlling the proliferation of nuclear weapons. It investigates the efficacy of treaties like the Nuclear Non- Proliferation Treaty (NPT) and looks at international regulatory systems, including those run by the International …
Published in Journal of Nuclear Engineering & Technology · Vol. 15, Issue 2, 2025 · pp. 34–47 Read article
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Quantum-Inspired Neural Networks: Accelerating AI for Large-Scale Data Processing
Abstract: Recently, the world of artificial intelligence has been buzzing with exciting ideas inspired by quantum computing, especially when it comes to processing large amounts of data. Introducing the Quantum-Inspired Neural Network (QINN), a novel approach to conventional neural networks that blends concepts from quantum mechanics with machine learning techniques. Unlike typical networks that rely on neurons, QINNs utilize qubit-based representations, enabling them to perform computations in a more flexible and …
Published in Journal of Software Engineering Tools & Technology Trends · Vol. 12, Issue 3, 2025 · pp. 12–17 Read article
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Optimization of Structural Health Monitoring Using Artificial Neural Network and Comparison with Traditional Method: A Comprehensive Review
Abstract: Structural health monitoring (SHM) has a critical role in ensuring civil infrastructure safety, reliability, and durability through real-time, condition-based monitoring. Traditional SHM systems employ hundreds of sensors such as accelerometers, strain gauges, and displacement transducers for monitoring vast amounts of data for structural inspection, but do not effectively manage complicated nonlinear data. This research paper, “Optimization of Structural Health Monitoring Using Artificial Neural Network and Comparison with Traditional Methods,” investigates …
Published in Journal of Structural Engineering and Management · Vol. 13, Issue 1, 2026 · pp. 23–33 Read article
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A Next-Generation IoT-Enabled Smart Cane for the Visually Impaired: Integration of Advanced Navigation, Context-Aware Obstacle Detection, and Real-Time Voice Guidance
Abstract: The rapid growth of Internet of Things (IoT) technologies, combined with advances in embedded systems and artificial intelligence, has opened new possibilities for developing assistive mobility solutions tailored to the needs of individuals with visual impairments. This paper introduces an IoT- enabled smart cane designed to enhance independent mobility through intelligent environmental interpretation and context-aware navigation. Unlike traditional canes that rely solely on tactile feedback, the proposed system incorporates multiple …
Published in Journal of Advancements in Robotics · Vol. 13, Issue 1, 2026 · pp. 12–17 Read article
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Non-Invasive Glucose Monitoring Device Using Max30102 Sensor
Abstract: Diabetes mellitus is a chronic metabolic disorder affecting millions globally, requiring continuous blood glucose monitoring to prevent complications such as cardiovascular disease, kidney failure, neuropathy, and retinopathy. Conventional invasive finger- prick techniques result in pain, skin irritation, and an increased risk of infection, which lowers patient compliance, particularly in young patients and the elderly. This paper presents a non-invasive glucose monitoring prototype using the MAX30102 optical biosensor interfaced with the …
Published in Journal of Instrumentation Technology & Innovations · Vol. 16, Issue 1, 2026 · pp. 36–44 Read article
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Recent Advancements and Layering Techniques in Nanoparticle-Reinforced Hybrid Composites: A Comprehensive Analysis
Abstract: This review examines the advancements in nanoparticle-reinforced fiber composites, focusing on natural fibers, synthetic fibers, hybrid composites, and fiber metal laminates (FMLs). Nanoparticles such as SiO₂, TiO₂, Al₂O₃, and graphene, introduced at 0.5–3% volume, have significantly enhanced mechanical, thermal, and wear properties. Comparative studies reveal that hybrid composites reinforced with 1–2% nanoparticles show a 20-30% increase in tensile strength and a 15-25% improvement in thermal stability compared to non-reinforced composites. …
Published in Journal of Polymer & Composites · Vol. 13, Issue 1, 2025 · pp. 83–89 Read article
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A Neural Network Approach to Study the Bandwidth of C-Shaped Microstrip Antenna
Abstract: This paper presents the use of artificial neural network for the estimation of frequency band and bandwidth of a line feed C-Shaped Microstrip patch antenna. The results obtained by using ANNs are compared with IE3D simulation and found quite satisfactory. The designed antenna operates in the frequency range (1.735 to 1.945 GHz). The antenna is designed using glass epoxy between the ground plane and patch and simulated on the Zeland …
Published in Journal of Telecommunication, Switching Systems and Networks · Vol. 2, Issue 3, 2015 · pp. 24–30 Read article
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Effectiveness of Nursing Intervention on Prevention of Intravenous Therapy-related Complications among Neonates Admitted in NICU at Government Medical College and Hospital in Tiruvannamalai District
Abstract: Introduction: The main reason for peripheral intravenous therapy is inappropriate use and poortechnique which is followed by the health professionals. Some of the important complications areinfection, phlebitis, thrombophlebitis, infiltration, hematoma, nerve damage, fluid overload,electrolyte imbalance and embolisms now days. Materials and Methods: A quantitative approach wasused in the study. Research Design: A quasi-experimental post-test only was designed by usingconvenience sampling technique. The tool was used for administrations of standardized protocolbased …
Published in Journal of Nursing Science & Practice · Vol. 12, Issue 1, 2022 · pp. 27–33 Read article
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In silico Analysis of nsSNPs in the Human ACTN4 Gene associated with a Steroid-Resistant Nephrotic Syndrome
Abstract: The main motive of this study is to discover nsSNPs of ACTN4 gene through various insilico views. ACTN4 is one of the proteins that play a leading role in cellular pathways by altering cytoskeletal behaviour associated with steroid-resistant nephrotic syndrome. Data of ACTN4 was collected from NCBI dbSNP and Uniport KB and further used to explore adverse outcome using SIFT, PolyPhen, PROVEAN and SNAP2.Out of 11 nsSNPs selected in this …
Published in Research and Reviews: A Journal of Health Professions · Vol. 8, Issue 3, 2018 · pp. 43s–52s Read article
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National Iron plus Initiative (NIPI) Programme for Health: A Novel Approach in Health Care
Abstract: Anaemia is the most important risk factor for under-nutrition and poor dietary intake of iron which results in major public health problem among the vulnerable age group of life cycles such as pregnant women, infants, young children and adolescents. As per WHO, if the prevalence of anaemia at community levels is more than 40%, it is considered a problem of high consequences. As per data of NFHS-IV level of prevalence …
Published in Research and Reviews: A Journal of Health Professions · Vol. 8, Issue 3, 2018 · pp. 103s–106s Read article
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A Pre Experimental Study To Assess The Effectiveness Of STP Regarding Behavior Problem (Nail Biting, Pica, Conduct Disorder, Enuresis, Temper Tantrum) Among School Children Aged Between 10 – 15 Year In Selected School, Kashmir Province, Jammu & Kashmir.
Abstract: The primary aim of the study to assess the impact of structure teaching program on knowledge of school children regarding behavior problem with pica, enuresis, temper tantrum, nail biting, conduct disorder). Nursing is a profession that to be developed and emphasized with deep commitment to research. However it is only recently than nurses. In general has recognized the acute need for nursing research. In fact the future of nursing science …
Published in Research and Reviews: A Journal of Neuroscience · Vol. 13, Issue 2, 2023 · pp. 1–7 Read article
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Heteroatom modified carbon dots (N, P, K): synthesis, surface functionalization, and prospects for soil‑fertility enhancement
Abstract: Heteroatom‑functionalized carbon dots (H‑CDs) have emerged as a class of zero‑dimensional carbon nanomaterials offering tunable optical, electronic, and catalytic properties through controlled nitrogen, phosphorus, and potassium doping. This review highlights the chemistry and chemical‑technology dimensions of N‑, P‑, and K‑doped carbon dots (N‑CDs, P‑CDs, K‑CDs), focusing on their synthesis strategies, surface functionalization, and structure–property relationships. Conventional routes such as microwave‑assisted pyrolysis, hydrothermal carbonization, and one‑pot solvothermal methods are discussed, with …
Published in Journal of Modern Chemistry & Chemical Technology · Vol. 17, Issue 2, 2026 · pp. 30–35 Read article