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1983 articles for “failure-prediction AUROC of 0.967” (ranking capped at the first 2,000 matches — narrow the search to see the rest)
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Asymptomatic Malaria—A Missed Opportunity in the Planned 2030 Malaria Elimination Programme in Ethiopia
Abstract: Background: Malaria intervention in Ethiopia has been strengthened significantly in the past decade with significant reduction in incidence and prevalence. However, continuous surveillance on malaria disease incidence was suggested for effective control and elimination. In difference to this suggestion, malaria elimination programme in the country is missing asymptomatic malaria as a prime target. Thus, the aim of this study was to determine prevalence of asymptomatic malaria and associated factors in …
Published in Research and Reviews : A Journal of Immunology · Vol. 9, Issue 1, 2019 · pp. 4–9 Read article
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Determinants of Teenage Pregnancy and Motherhood in Ethiopia: Analysis of the Ethiopian Demographic Health Survey 2016
Abstract: Background: Teenage pregnancy, a global public health problem, especially in developing countries, refers to a pregnancy when teenage girls, aged 13–19 and considered not to have reached legal adulthood, become pregnant and is said to have wide range of subsequent adverse health, economic and social outcomes. In Ethiopia, where marriage is a universal occurrence, the Federal Democratic Republic of Ethiopia ministry of health is working to alleviate the problem, though …
Published in Research and Reviews: A Journal of Medicine · Vol. 8, Issue 3, 2018 · pp. 47–53 Read article
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Prevalence and Factors Associated with Overweight/Obesity in Public Servants, Tigray, Ethiopia: The Case of Mekelle City
Abstract: Introduction: Noncommunicable diseases (NCDs) remain the major causes of mortality. In Africa and sub-Saharan countries prevalence of NCDs is rising due to many reasons. About 80% of deaths due to NCDs are common in low and middle-income countries including Ethiopia. Overweight and obesity are leading risk factors for a number of chronic NCDs. Objective: The aim of this research was to estimate the magnitude and factors associated with overweight/obesity among …
Published in Research and Reviews : A Journal of Medical Science and Technology · Vol. 7, Issue 3, 2018 · pp. 39–46 Read article
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Microalbuminuria as an Independent Screening Tool in Patients with Myocardial Infarction
Abstract: Acute Myocardial Infarction (AMI) is a condition in which there is an inadequate supply of blood and oxygen to a portion of myocardium; most common cause being atherosclerosis of coronary vessels. Microalbuminuria (MAU) is defined as urinary albumin-to-creatinine ratio (UACR) of 30–300 mg/g. It is considered as marker of generalized endothelial dysfunction and vasculopathy and suggested to contribute to the formation of atherosclerotic lesion and ultimately leading to risk of …
Published in Research and Reviews : A Journal of Medical Science and Technology · Vol. 6, Issue 2, 2017 · pp. 41–45 Read article
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Clinical advantage of umbilical single incision laparoscopic appendectomy; a single center prospective study
Abstract: Background: Single incision laparoscopic surgery (SILS) is widely accepted in clinical practice with its less invasion, cosmetic effectiveness, and quick recovery. Purpose: Our purpose was to assess feasibility and clinical advantage of umbilical single incision laparoscopic appendectomy compared with conventional laparoscopy. Materials: From January 2016 to November 2019, we treated 215 patients admitted with acute appendicitis in Pyongyang University of Medicine Hospital; 82 patients received with umbilical single incision laparoscopic …
Published in Research and Reviews : A Journal of Medical Science and Technology · Vol. 10, Issue 1, 2021 · pp. 19–24 Read article
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An Epidemiological Study on Prevalence of Hypertension
Abstract: There is hidden epidemic of non-communicable diseases in rural India where communicable diseases are also a major problem, contrary to the perception of many health professionals and policy makers. Such problems come to light only when we look for them. Hypertension is the most prevalent of the non-communicable diseases (if one excludes anaemia and under nutrition). It is also one of the primary risk factors for stroke, ischemic heart disease …
Published in Research and Reviews : A Journal of Medical Science and Technology · Vol. 10, Issue 3, 2021 · pp. 28–35 Read article
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The Fluctuation of Blood Glucose Level in Stroke Patients without History of Diabetes Mellitus: Relationship with its Outcome
Abstract: Purpose: In the present study we aimed at evaluating the fluctuation of fasting glucose levels and analyzing its relationship with outcomes in nondiabetic patients with ischemic stroke and intracerebral hemorrhage. Methods: We conducted a prospective study involving 316 nondiabetic patients (225 male, 91 female) with hemorrhagic and ischemic stroke, who were admitted to the Pyongyang University of Medical Sciences Hospital, Democratic People’s Republic of Korea from April 2017 to December …
Published in Research and Reviews: A Journal of Neuroscience · Vol. 10, Issue 3, 2020 · pp. 5–11 Read article
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Change of Capacitance in Cancerous Cell
Abstract: Cancer is a genetic disease. It is characterized by out of control growth of cell. It harms the body with its uncontrollable growth. Tumors that do not spread and show limited growth are generally considered to be benign. More dangerous are malignant tumors which can manage to divide and grow. They may be very dangerous and may cause death. Early detection of the disease helps in treatment and may save …
Published in Research and Reviews: Journal of Oncology and Hematology · Vol. 4, Issue 1, 2015 · pp. 29–32 Read article
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Generative AI-Driven Design Optimization of Lightweight Polymer Composites for Electric Vehicles
Abstract: Lightweight polymer composites are increasingly important for electric vehicles, where mass reduction must be achieved without compromising structural performance, thermal stability, manufacturability, or material reliability. This study develops a generative AI-driven inverse-design framework for identifying experimentally credible lightweight polymer-composite configurations under coupled EV-oriented constraints. Public experimental polymer-composite datasets were integrated through leakage-controlled preprocessing and group-aware validation. A multi-task neural surrogate predicted mechanical response, while a conditional variational autoencoder explored feasible …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 Read article
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Impact of Social Media and Online Influencers on Parents’ Pediatric Dental Decisions: A Cross-Sectional Study
Abstract: Background: Social media has become a key source of health information for parents, but its role in shaping pediatric dental treatment decisions is poorly understood. Aim: To evaluate the influence of social media and online influencers on parents’ decisions regarding pediatric dental treatments. Methods: A cross-sectional survey was conducted among 240 parents of children aged 3–14 years in Kanpur, India. A total of 228 complete questionnaires were included for final …
Published in Research and Reviews: A Journal of Dentistry · Vol. 17, Issue 2, 2026 · pp. 1–6 Read article
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Observational Study on the Association Between Body Mass Index and Hypertension Among Adults of Jamia Nagar and Its Adjoining Areas
Abstract: Hypertension is becoming the talk of the town nowadays. It has been found that persons with high BMI are more prone to hypertension. Research studies have found that there is an increase in the number of cases in the developing nations as well, when compared with the developed world. BMI, which is also known as Basal mass index help in measuring the leanness of a person, which helps in quantifying …
Published in International Journal of Nutritions · Vol. 3, Issue 2, 2026 · pp. 01–09 Read article
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Physics-Informed Machine Learning and Multiscale Modeling for Structure–Property Quantification of Polymer Composites
Abstract: The growing need for light-weight, high strength, and sustainable polymer composites has led to the development of smart methods that enable accurate structural-property quantification and material design. However, conventional methods have been predominantly data-based, thus ignoring physical constraints as well as multi-scale interactions involving fiber, matrix, interface, and process parameters, leading to lower accuracy and poor robustness and interpretability of the models. In this study, a Cat Swarm Optimization-Tuned Physics-Informed …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 Read article
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Unveiling Actionable Pathogenic Genes for Precision Oncology in Brain Cancers: Glioblastoma and Astrocytoma
Abstract: Glioblastoma (GBM) and astrocytoma are aggressive primary brain tumors characterized by significant molecular heterogeneity, complicating effective treatment. This study employed targeted next-generation sequencing of 529 cancer-associated genes on matched tumor-normal pairs from GBM and astrocytoma patients. Somatic variants were identified using a rigorous bioinformatic pipeline adhering to GATK Best Practices, with variant allele frequencies (VAF) calculated to assess clonal dominance. Functional annotation and driver mutation classification were performed using Ensemble …
Published in Research and Reviews : Journal of Computational Biology · Vol. 15, Issue 2, 2026 · pp. 43–59 Read article
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AI-Driven IoT Ecosystems for Real-Time Thermo-Chemical Decision Making
Abstract: The efficient management of thermo-chemical processes is a critical challenge in modern industry, where maintaining precision, operational safety, and energy efficiency directly influences productivity and sustainability. The convergence of the Internet of Things (IoT) and Artificial Intelligence (AI) has transformed conventional industrial systems into intelligent, data-driven environments capable of continuous monitoring, predictive analysis, and autonomous decision-making. By integrating interconnected sensors, edge computing, cloud platforms, and advanced machine learning algorithms, industries …
Published in International Journal of Photochemistry and Photochemical Research · Vol. 4, Issue 2, 2026 · pp. 10–15 Read article
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Physics-Adaptive Digital Twin with Neural-Operator Reduced-Order Modelling
Abstract: This study proposes a novel Physics-Adaptive Digital Twin with Neural-Operator Reduced-Order Modelling (PADT-NO) framework for predictive modelling of complex, nonlinear, and multiscale fluid flows. The proposed mathematical framework integrates fundamental conservation laws, Navier–Stokes dynamics, physics-constrained neural operators, adaptive reduced-order modelling, and uncertainty-aware state estimation within a unified computational architecture. Unlike conventional computational fluid dynamics and purely data-driven approaches, the proposed model dynamically couples high-fidelity physical information with a low-dimensional latent …
Published in Recent Trends in Fluid Mechanics · Vol. 13, Issue 2, 2026 · pp. 89–103 Read article
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Influence of Aeration on Biomass and Polyhydroxyalkanoate Accumulation in Priestia flexa JP1: A Foundation for Nano-Biomaterial Development
Abstract: Polyhydroxyalkanoates (PHAs) are microbial polymers that have attracted substantial interest in recent times due to their use as biodegradable substitutes for petroleum-derived plastics and also as precursors for nano-enabled biomaterials. The aim of the present work was to evaluate the effect of static and shaking culture conditions on growth kinetics, biomass formation, and PHA synthesis by Priestia flexa JP1. The bacterial strain was cultured in mineral salt media (MSM) at …
Published in Research and Reviews : A Journal of Biotechnology · Vol. 16, Issue 2, 2026 · pp. 42–50 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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Enhanced Thermal Stability and Thermophysical Properties of High Density Polyethylene Based Polymer Composite Synthesized Through Compression Moulding Route
Abstract: Polymer composite materials attract researchers as polymers can be filled with different fillers to get desired properties. Thermophysical properties of HDPE-silicon composite is reported in the present study. HDPE-Si composite was synthesized by hot compression and molding technique for different silicon volumetric ratio. Thermal conductivity as well as thermal diffusivity was found to be enhanced significantly on increasing the filler volumetric ratio. Thermal conductivity value for 20 volume % composite …
Published in Journal of Polymer & Composites · Vol. 11, Issue 5, 2023 · pp. 1–16 Read article
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Asymmetrical Light Propagation in 2D Photonic Crystal Structure
Abstract: In this work, using Plane Wave Expansion (PWE) and two-dimensional Finite Difference Time Domain (2D-FDTD) methods, we design a structure that shows the high asymmetry in propagation of light. Structure is based on two-dimensional Photonic Crystal (2D-PC) consisting of square lattice (39 X 39) of infinitely long circular rods of refractive index 2.9 in the background of refractive index 1. Radius of rods is 0.15a, where a is the lattice …
Published in Journal of Polymer & Composites · Vol. 11, Issue 7, 2023 · pp. 69–74 Read article
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Optimum Machining Parameters for Al 7075 Hybrid Metal Matrix Composites Using Multi-objective Optimization Technique and the Modified Taguchi Approach
Abstract: Lightweight composite materials with improved mechanical properties are widely used in industries. There is a need to obtain optimum machining parameters of such hybrid composites. This paper uses reliable multi-objective optimization technique and modified Taguchi approach to determine optimal machining parameters such as speed (NS) varying from 1000 rpm to 1500 rpm, feed rate (FR) from 0.10 mm/rev to 0.20 mm/rev, depth-of-cut (DC) varied from 0.5 mm to 1.5 mm …
Published in Journal of Polymer & Composites · Vol. 11, Issue 8, 2023 · pp. 269–278 Read article