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648 articles for “characteristic analysis”
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Cure Fraction Estimation for Traumatic Lumbar Puncture in Patients with Acute Lymphoblastic Leukemia
Abstract: The foremost aim of this research was to estimate the proportion of long-term survivors for traumatic and bloody lumbar puncture in patients suffering from acute lymphoblastic leukemia (ALL). To decide the resonance point of platelet for predicting traumatic event the receiver operating characteristics curve was used. Logistic regression and Cox proportional hazard regression was used to detect risk factors for the traumatic event and any relapse, respectively. To appraise the …
Published in Research and Reviews: Journal of Oncology and Hematology · Vol. 7, Issue 3, 2018 · pp. 12–21 Read article
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Prediction of Customer Churn Using Machine Learning Classification Models
Abstract: Customer churn prediction is a critical task in both the telecommunication and medical industries, where retaining customers or patients is essential for ensuring long-term profitability and maintaining high-quality service. To address this, a range of machine learning models—including logistic regression, decision trees, random forests, gradient boosting machines, and support vector machines—were employed to accurately forecast churn behavior. Prior to model training, the dataset underwent thorough preprocessing, which included handling missing …
Published in Journal of Computer Technology & Applications · Vol. 16, Issue 2, 2025 · pp. 86–92 Read article
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Experimental and Polynomial Regression Modelling of Tensile Characteristics of Hybrid Jute/Hemp Fiber Composites
Abstract: The present study aims to develop hybrid jute-hemp fiber/epoxy composites by the hand lay-up process with 60% of fiber reinforcement and 40 % of matrix ratio. To measure the change of tensile properties, prepared hybrid composites were tested for normal tensile strength and edge notch tensile (ENT) test as per the ASTM standards. Findings show that, developed composites with reported tensile strength followed by comparing it with fracture toughness. Experimentally, …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 47–58 Read article
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EFFECT OF DRILING PARAMETERS ON HOLE POSITION TOLERANCES
Abstract: Drilling is one of the important machining process widely used in all type of industry. In aerospace industry the drill hole dimensions are very critical and one has to control the drilling parameters to maintain the desired hole characteristics. In the present project work, focus is made to study the effect of drilling parameters namely spindle speed, feed and drill diameter on Cylindricity, Circularity, Concentricity along X axis and Concentricity …
Published in Trends in Mechanical Engineering & Technology · Vol. 8, Issue 2, 2018 · pp. 51–61 Read article
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Comparative Analysis of Supervised Learning Algorithms
Abstract: Supervised learning is a fundamental and widely used branch of machine learning in which models are trained on labeled datasets, meaning that each input is associated with a known output. Supervised learning algorithms develop predictive capability by understanding the mapping between input variables and corresponding output labels, enabling them to accurately forecast outcomes for previously unseen data. Due to this capability, supervised learning has found extensive applications across diverse domains …
Published in Journal of Computer Technology & Applications · Vol. 17, Issue 1, 2026 · pp. 25–30 Read article
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Impact of Semiconductor Material Properties on Device Behavior and Circuit Performance: A Comprehensive Review
Abstract: Semiconductor materials play a fundamental role in determining the performance, efficiency, and reliability of modern electronic devices and circuits. This review presents a comprehensive analysis of how intrinsic and engineered material properties influence device behavior and overall circuit functionality. Key parameters such as bandgap energy, carrier mobility, thermal conductivity, and defect density are examined to understand their direct impact on switching speed, power consumption, and operational stability. The paper explores …
Published in Journal of Semiconductor Devices and Circuits · Vol. 13, Issue 1, 2026 · pp. 19–26 Read article
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Study: Internet of Things
Abstract: This paper gives a brief analysis of different applications based on Internet of Things (IoT)s. This explains about how internet of things evolved from mobile computing and ubiquitous computing. With the help of IOT gradually evolving as the subsequent phase of the evolution of the internet, it becomes crucial to find the various potential domains for IOT, and the research challenges that are associated with various applications. It gives the …
Published in Journal of Microwave Engineering and Technologies · Vol. 8, Issue 1, 2021 · pp. 1–5 Read article
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Percentage Changes According to Pathological Finding of Senile Calcification in Fibrous Skeleton of the Heart
Abstract: Fibrous skeleton of the heart consists of aortic valve annulus (AVA), pulmonary valve annulus (PVA), tricuspid valve annulus (TVA), bicuspid valve annulus (BVA) and fibrous trigone of right and left heart (RFT and LFT), and some senile changes like calcinosis begin to develop as growing old. The senile calcification in the fibrous skeleton of the heart leads to several complications such as valve disorders and block of conduction. We studied …
Published in Research and Reviews: A Journal of Medicine · Vol. 9, Issue 3, 2019 · pp. 29–34 Read article
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Current Trends and Future Trajectories: Polymer-Modified Concrete in the Context of Bangladesh
Abstract: Polymer-modified concrete (PMC) presents itself as a novel way to improve the characteristics of conventional concrete, tackling a variety of issues in the building industry. This paper explores the present dynamics and future potential of PMC, with a focus on Bangladesh, a fast-expanding country with unique environmental, economic, and infrastructure needs that call for the use of cutting-edge building materials. The benefits of polymer modification, such as increased durability, flexural …
Published in Journal of Polymer & Composites · Vol. 12, Issue 2, 2024 · pp. 285–294 Read article
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AI-Powered Approaches to Environmental Challenges: Trends, Benefits, and Limitations
Abstract: Dynamic and unpredictable characteristics of environmental processes create challenges in their management and regulation. Artificial intelligence (AI) offers a powerful solution for addressing these complexities.AI tools have become more and more popular across a range of fields and research domains due to their efficient development and rapid growth. We analyse key trends in AI applications, including predictive analytics for climate modelling, automated monitoring of biodiversity, and smart resource management. The …
Published in Journal of Energy, Environment & Carbon Credits · Vol. 14, Issue 2, 2024 · pp. 1–8 Read article
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A Comprehensive Review of CMOS Analog Circuit Design Techniques for Low-Power VLSI Systems
Abstract: CMOS analog circuit design plays a significant role in the development of modern low-power Very Large-Scale Integration (VLSI) systems used in wireless communication, biomedical devices, portable electronics, embedded systems, and Internet of Things (IoT) applications. Research on low-power CMOS analogue design methodologies has intensified because to the growing need for high-performance, small, and energy-efficient electronic products. However, reducing power consumption while maintaining signal accuracy, noise performance, stability, bandwidth, and overall …
Published in International Journal of VLSI Circuit Design & Technology · Vol. 4, Issue 1, 2026 Read article
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Synthesis and Characterization of Polymer Blend Electrolyte Based on Bio-degradable Polymers Doped with Ammonium Iodide
Abstract: A polymer blend of Polyvinylalchohol (PVA) and Polyvinylpyrrilodine (PVP) doped with ammonium iodide (NH4I) has been prepared by solution casting method to develop a new solid polymer electrolyte. The influence of NH4I on the structural, electrical characteristics of PVA/PVP blend was investigated utilizing XRD, FTIR and impedance spectroscopy techniques. Structural properties were studied by using the XRD technique and found that the pure polymer blend is in semi crystalline form, …
Published in Journal of Polymer & Composites · Vol. 10, Issue 2, 2022 · pp. 60–71 Read article
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Jaccard Index Versus Preferential Attachment: A Comparative Study of Similarity Based Link Prediction Techniques in Complex Networks
Abstract: Link prediction is a critical task in network analysis that aims to forecast potential connections between nodes. Numerous methods have been developed to address this challenge, with similarity-based techniques gaining substantial attention due to their simplicity and effectiveness. This research work presents a comprehensive review of two prominent similarity-based link prediction techniques, namely the Jaccard Index and Preferential Attachment. The Jaccard Index measures the similarity between two nodes based on …
Published in Journal of Computer Technology & Applications · Vol. 14, Issue 2, 2023 · pp. 7–11 Read article
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The Impact of Extraction Conditions on the Trend of the Type of Red Onion and the Characteristics of Oil Harvest for the Use of Constraints
Abstract: The therapeutic potential of plant-derived medicinal products, including essential oils, has not yet been fully exploited. Many medicinal plants have been studied to provide the biologically active compounds on which most modern drugs are based. However, much more remains to be learned about their precise pharmacology. This is particularly important for essential oils which have such a concentrated but complex composition. This is the reason for the interest they generate …
Published in Journal of Modern Chemistry & Chemical Technology · Vol. 16, Issue 2, 2025 · pp. 70–76 Read article
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A Comprehensive Study of ZnxFe2-xO3 Nanoparticles: Assessing Magnetic Properties for Medical Imaging (MI)
Abstract: Diluted magnetic ZnxFe2-xO3 nanoparticles are special semiconducting nanoparticles which are recognized for their magnetic properties. A theoretical examination of Zn-doped αFe2O3 nanostructures reveals a range of structural and property variations, offering insights into their potential applications and behavior at the nanoscale. In this regard, Heisenberg’s model and Weiss molecular filed theory is used to describe the magnetic properties of ZnxFe2-xO3 nanoparticles. These theorems inevitably enable to investigate the relationship between …
Published in Nano Trends – A Journal of Nano Technology & Its Applications · Vol. 26, Issue 2, 2024 · pp. 18–25 Read article
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Presentation Delay in Breast Cancer Patients, Identifying the Barriers Among Women Receiving Breast Cancer Drugs at Hawassa University Comprehensive and Specialized Hospital, Ethiopia
Abstract: Background: Breast cancer remains the most common cancer and most common cause of cancer-related mortality among women worldwide [1]. While incidence rates have historically been higher in the developed world, there has been a recent sharp increase in incidence and mortality in the developing world [2]. Objectives: The main purpose of this study was to assess the barriers resulting in delayed patient presentation to breast cancer care among women receiving …
Published in Research and Reviews : Journal of Computational Biology · Vol. 7, Issue 3, 2018 · pp. 24–31 Read article
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Biomedical Applications of Green-Synthesized Cobalt Oxide Nanoparticles
Abstract: The biomedical potential of cobalt oxide nanoparticles (Co3O4 NPs) synthesized via green methods is gaining recognition due to their biocompatibility and multifunctionality. This article reviews the antibacterial and anticancer properties of Co3O4 NPs synthesized using Delonix regia leaf extract. Characterization techniques confirmed their nanoscale size and uniform morphology. The antibacterial assay against Escherichia coli revealed significant activity, attributed to enhanced permeability and interaction with bacterial membranes. These findings highlight the …
Published in Emerging Trends in Chemical Engineering · Vol. 12, Issue 1, 2025 · pp. 20–29 Read article
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Preference assessment of energy and momentum equations over 2D-SKM method in compound channels
Abstract: Gradually varied flow in channels could be assessed and investigated from both the energy and momentum equations standpoints. Depending on what method is implemented, the computational results could be different. Currently, there is an ambiguity on the preference of utilizing the energy and momentum equations standpoints. This study attempts to respond to this ambiguity and the question that among these pair viewpoints which one would provide a closer solution to …
Published in Journal of Water Resource Engineering and Management · Vol. 6, Issue 1, 2019 · pp. 24–34 Read article
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Mechanical and Physicochemical Characteristics of Nano-Hydroxyapatite Polymer Composites
Abstract: This study focuses on the development and characterization of nano-hydroxyapatite (nHAp)-reinforced poly (lactic acid) (PLA) composites for biomedical applications. The composites, prepared with varying nHAp content (5–25 wt%), were evaluated for their mechanical and physicochemical properties, including tensile strength, Young’s modulus, elongation at break, thermal stability, hydrophilicity, and crystallinity. Results revealed that tensile strength increased significantly with the incorporation of nHAp, reaching a peak of 62 MPa at 15 wt%, …
Published in Journal of Polymer & Composites · Vol. 13, Issue 2, 2025 · pp. 115–125 Read article
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CB₁ Reverse Agonists: A Cheminformatic and Patent Landscape Study
Abstract: The endocannabinoid system plays a crucial role in numerous physiological functions, making cannabinoid receptor 1 (CB1) an attractive target for therapeutic development. This review provides a systematic analysis of patent filings from 2019 to 2023 that focus on small-molecule CB1 reverse agonists. It begins with an overview of the endocannabinoid system, highlighting CB1’s involvement in energy balance, pain regulation, and neuroinflammatory processes The main section of the review examines fifteen …
Published in International Journal of Cheminformatics · Vol. 3, Issue 2, 2025 · pp. 33–36 Read article