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19 articles for “CVD method”
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Experimental Analysis of Nano-carbon Doped Alumina for Industrial Applications
Abstract: The use of nano-carbon metal matrix composites can provide a solution to the enduring issue of optimal material selection and optimization for getting metal-insulator transition (MIT) behavior at a particular frequency at ambient temperature. Other substances, like two-dimensional (2D) transition metal dichalcogenides (TMD), vanadium oxide (VO2), and germanium telluride (Ge-Te), have difficult challenges in achieving effectively the MIT property at a given frequency and temperature. It is also difficult to …
Published in Journal of Polymer & Composites Read article
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Cutting-edge Deep Learning Methods for Predicting and Detecting Cardiovascular Diseases
Abstract: Cardiovascular diseases (CVDs) remain a major global health issue, highlighting the need for improved early detection and risk assessment methods. This research investigates the efficacy of both deep learning and traditional machine learning methods in forecasting cardiovascular diseases (CVDs). We evaluate a variety of models, including Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs), Multilayer Perceptrons (MLPs), Long Short-Term Memory (LSTM) networks, as well as Logistic Regression (LR), Decision Trees …
Published in Recent Trends in Parallel Computing · Vol. 11, Issue 2, 2024 · pp. 36–42 Read article
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Advancements In Hydrogenated Diamond-Like Carbon Thin Film Deposition & Surface Modification
Abstract: Materials synthesis and processing are pivotal in advancing technologies across domains such as electronics and biomedical applications. This review provides a detailed exploration of recent advancements in thin film deposition techniques, focusing on hydrogenated diamond-like carbon (HDLC) films and various surface modification methodologies. Beginning with an overview of HDLC films, the paper highlights their unique properties and wide-ranging applications, emphasizing their importance in modern materials science. Key sections of the …
Published in Journal of Polymer & Composites · Vol. 13, Issue 1, 2025 · pp. 761–777 Read article
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Advancements in Thin Film Coatings for High-Efficiency Electronics and Communication Devices
Abstract: Thin film coatings have become integral to the development of high-efficiency electronics and communication devices, offering enhanced performance, miniaturization, and multifunctionality. This review delves into recent advancements in thin film technologies, focusing on their applications in semiconductors, optoelectronics, and communication systems. We explore various deposition techniques, including atomic layer deposition (ALD), chemical vapor deposition (CVD), and solution-based methods like spin coating, highlighting their impact on device efficiency and scalability. The …
Published in Journal of Thin Films, Coating Science Technology & Application · Vol. 12, Issue 2, 2025 · pp. 19–24 Read article
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Review on Machine Learning Techniques for Heart Failure Analysis in Health Industries
Abstract: There are few bodily components as crucial as the heart. It aids in the filtration and distribution of blood to every area of a body. The world's biggest cause of death is heart disease. It has been reported that symptoms include breathing difficulties, fast heartbeat, and chest discomfort. They analyze this data on a regular basis. This review begins with a brief introduction of cardiac disease and the present methods …
Published in Research and Reviews : A Journal of Medical Science and Technology · Vol. 13, Issue 1, 2024 · pp. 29–43 Read article
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A Comprehensive Review on Deposition Techniques for Functional Thin Films
Abstract: Thin films have become a critical element in the design and development of advanced functional materials because of their remarkable versatility, high efficiency, and ability to be easily integrated into a wide variety of devices. These films are used in a broad range of industries, from electronics to energy, owing to their ability to improve the performance of components by providing tailored electrical, optical, and mechanical properties. The deposition of …
Published in Journal of Thin Films, Coating Science Technology & Application · Vol. 12, Issue 1, 2025 · pp. 1–7 Read article
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High-Performance Thin Film Coatings for Corrosion Resistance in Extreme Environments
Abstract: Corrosion is a serious concern in industries such as aerospace, marine, and oil & gas, where materials are exposed to harsh environments. High-performance thin-film coatings have emerged as a critical solution to mitigate this issue, providing a protective barrier against harsh chemical and physical conditions. This review article highlights recent advancements in thin-film coatings designed to enhance corrosion resistance in such environments. The focus is on various coating materials, including …
Published in Journal of Thin Films, Coating Science Technology & Application · Vol. 11, Issue 2, 2024 · pp. 20–25 Read article
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Thin Film Coatings for Anti-Reflective and Anti-Fogging Applications in Optical Devices
Abstract: To maximize optical device lifetime and performance, thin film coatings are crucial. Coatings with anti-reflective (AR) and anti-fogging (AF) properties are important uses that improve optical systems' usability and performance. This review covers materials, deposition methods, and performance measures, providing a thorough analysis of recent developments in AR and AF thin film technologies. The study examines several techniques, such as chemical vapor deposition (CVD), sputtering, and sol-gel procedures, for producing …
Published in Journal of Thin Films, Coating Science Technology & Application · Vol. 11, Issue 2, 2024 · pp. 26–30 Read article
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Recent Innovations in Semiconductor Materials for Smart Electronic Devices
Abstract: Recent advancements in semiconductor materials have significantly transformed the design, performance, and functionality of smart electronic devices such as smartphones, wearable systems, IoT devices, autonomous systems, and biomedical electronics. With the continuous demand for higher processing speed, lower power consumption, improved thermal stability, and extreme miniaturization, traditional silicon-based semiconductor technology is facing major limitations. As device dimensions shrink to the nanometer scale, challenges such as leakage current, heat dissipation, and …
Published in Journal of Semiconductor Devices and Circuits · Vol. 13, Issue 2, 2026 Read article
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An Expected Cardiovascular Disease Detection Using Deep Learning Techniques
Abstract: Many avoidable deaths globally are caused by CVD, often due to individuals remaining unaware of their risk factors until severe symptoms, such as heart attacks or strokes, appear. This study utilizes retinal images as the dataset to explore the potential of retinal imaging as a non-invasive diagnostic tool for early detection of cardiovascular diseases (CVD). The delay in diagnosis and treatment highlights the need for sophisticated diagnostic instruments that can …
Published in Research and Reviews : A Journal of Medical Science and Technology · Vol. 14, Issue 2, 2024 Read article
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Integration of Biomarkers in III and IV CKD Patients for Evaluation of Their Predictive Value for CVD in CKD Patients
Abstract: Background: Chronic kidney disease (CKD) is presently characterized by the presence of proteinuria and/or a diagnosis of renal impairment. The worldwide significance of CKD is underscored by the fact that its prevalence and incidence have doubled over the past three decades. This paper provides an overview of the existing evidence regarding biomarkers in individuals with CVD or CKD, with a particular focus on the emerging biomarkers (i.e., eGFR, sALB, UACR, …
Published in Research and Reviews: A Journal of Medicine · Vol. 15, Issue 3, 2025 · pp. 1–12 Read article
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A Comprehensive Analysis of Coating Technology and Thin Films
Abstract: In contemporary materials science, thin film and coating technologies are essential because they allow for the improvement of surface characteristics, including electrical conductivity, hardness, corrosion resistance, and optical performance. These technologies use physical, chemical, or hybrid deposition techniques to deposit materials in layers that range in thickness from a few nanometres to several micrometres, depending on the required functional properties and application areas. The content, thickness, and microstructure of films …
Published in Journal of Thin Films, Coating Science Technology & Application · Vol. 12, Issue 3, 2025 · pp. 50–64 Read article
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Algorithm for the prediction of cardiovascular disease (CVD)
Abstract: cardiovascular diseases (CVD) still claim a significant number of deaths globally and remain the number one killer with an annual death toll of nearly 17.9 million. While several medical advancements have been made, an early diagnosis is still hard to obtain, which often leads to worsening conditions and intricate treatment options. With the advancement of modern technology, Machine learning has demonstrated to be a miraculous tool which can greatly impact …
Published in Research and Reviews : A Journal of Immunology · Vol. 15, Issue 2, 2025 Read article
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Knowledge, Awareness, and Perceptions of Cervical Cancer and Screening Among Women in Rural South India
Abstract: Background: Cervical cancer is still a major public health problem in South India, with rising figures of morbidity and mortality, in spite of progress in prevention, early detection, and treatment. Cervical cancer is the second leading cause of death due to cancer among Indian women, with around 123000 new cases and 67000 deaths every year. The delay in diagnosing CVD and low participation in screening programs is due to poor …
Published in International Journal of Oncological Nursing and Practices · Vol. 3, Issue 2, 2025 · pp. 1–8 Read article
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AI-Based Preventive Healthcare Using Quantum Computing
Abstract: With its improved performance and capabilities, quantum machine learning (QML) is becoming a promising field, especially in the healthcare industry for tasks like early heart disease prediction. In this work, a Quantum Support Vector Classifier (QSVC) is proposed as the basic classifier for a bagging ensemble learning model. Shapley Additive explanations (SHAP) are used to evaluate the significance of each attribute in the predictions in order to improve explainability. Using …
Published in Journal of Nanoscience, NanoEngineering & Applications · Vol. 15, Issue 2, 2025 Read article
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Combining Unstructured and Structured Clinical Data in a Hybrid Transformer Model to Enhance Cardiovascular Analytics and Clinical Decision- Making
Abstract: Since cardiovascular disease (CVD) continues to be a major global cause of morbidity and mortality, early and accurate risk prediction is essential for prompt intervention and individualized treatment. This study introduces a new hybrid transformer-based model that combines unstructured clinical narratives, structured data, and customized lifestyle characteristics. A comprehensive understanding of disease progression is made possible by the model's ability to capture contextual, temporal, and patient- specific insights through the …
Published in International Journal of Bioinformatics and Computational Biology · Vol. 4, Issue 1, 2026 · pp. 30–37 Read article
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Exploring the Role of Small Dense LDL-C and Paraoxonase-I Activity in Lipid Profile Alterations in Postmenopausal Women: Evidence from a Population-Based Study in Punjab, India
Abstract: Background: After menopause, women face a higher risk of cardiovascular disease (CVD) because hormonal changes impact how their bodies process fats. This study aimed to explore the relationship between small dense LDL cholesterol (sdLDL-C), lipid profile, PON1 levels, thyroid function, CBC parameters, and cardiovascular risk in postmenopausal women (45–60 years) in Punjab, India. sdLDL-C is more atherogenic than larger LDL particles, while PON1, linked to HDL, offers heart protection. Thyroid …
Published in Research and Reviews: A Journal of Health Professions · Vol. 15, Issue 2, 2025 · pp. 45–49 Read article
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A Comparative Study of Lipid Profile in Pre-Dialysis and Post-Dialysis End-Stage Renal Disease Patients
Abstract: Background: Chronic kidney disease (CKD) represents a major public health concern in India, with its prevalence increasing at an alarming rate. Individuals with CKD are at a substantially higher risk of developing cardiovascular disease (CVD), which remains the leading cause of mortality in this population. Dyslipidemia is particularly pronounced among patients with end-stage renal disease (ESRD); however, limited data are available regarding the impact of hemodialysis on lipid profile alterations. …
Published in Research and Reviews: A Journal of Medicine · Vol. 16, Issue 1, 2026 · pp. 25–31 Read article
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Computational Analysis of Non-Newtonian Blood Flow through Bifurcated Coronary Artery: Insights into Hemodynamics and Wall Shear Stress
Abstract: This abstract presents a study on the computational fluid dynamics (CFD) simulations of blood flow through a bifurcated coronary artery using non-Newtonian fluid model. The objective of this study is to investigate the hemodynamic characteristics in Bifurcated Coronary artery. The methodology involved the utilization of ANSYS SpaceClaim software for creating a geometric model of the bifurcated coronary artery. A mesh independent study was conducted to ensure the accuracy and reliability …
Published in Journal of Polymer & Composites · Vol. 11, Issue 13, 2023 · pp. 160–168 Read article