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502 articles for “Ear Identification”
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A Brief Survey on Content-based Fake News Detection
Abstract: The increase in spread of fake news causes destruction of democracy and public confidence, which has boosted the demand for reliable fake news identification dramatically. Recent developments in this area have opened up innovative approaches for identifying fake news by looking at how it travels on social media. However, in order to spot false news early, one has no information about news distribution because at an early-stage, fake news can …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 10, Issue 3, 2023 · pp. 8–15 Read article
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A Review on the Clinical and Pathological Significance of Prorenin Receptor [(P)RR]
Abstract: The (pro)renin receptor (P)RR discovery, which is a novel constituent of Renin Angiotensin-Aldosteron System (RAS) has brought renin and (pro)renin back into spotlight. The (P)RR binds both renin and its inactive precursor (pro)renin, this binding triggers a cascade of intracellular signalling that eventually leads to upregulation of the expression of profibrotic genes, potentially leading to pathogenesis of cardiac and renal fibrosis, growth and remodelling. Clinically, it is also seen that …
Published in Research and Reviews: A Journal of Pharmacology · Vol. 5, Issue 2, 2015 · pp. 11–17 Read article
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Pharmaceutical Drug Product Registration and Requirements in Latin American Countries
Abstract: The regulatory process to obtain marketing authorization’s (MAs) for drugs in Latin American (LATAM) countries, despite regional harmonization efforts, is highly country-specific. This article offers a practical overview of product registration processes in LATAM. Although the International Conference on Harmonization (ICH) Common Technical Document (CTD) can serve as a resource for most local MA applications, it is not necessarily required in its full length. Additionally, a significant amount of mandatory …
Published in Research & Reviews: A Journal of Drug Formulation, Development and Production · Vol. 1, Issue 3, 2014 · pp. 22–29 Read article
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Earthquake Detection and Monitoring System
Abstract: Earthquakes continue to be one of the major natural hazards affecting human life and infrastructure. The development of affordable monitoring systems is essential for increasing preparedness and reducing the impact of such disasters. This work presents an Earthquake Detection and Monitoring System based on a vibration sensor and Arduino controller. The system continuously observes ground movements and evaluates the detected vibration levels against a predefined threshold. Whenever unusual vibrations are …
Published in Journal of Instrumentation Technology & Innovations · Vol. 16, Issue 2, 2026 Read article
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AI-Based Early Diagnosis & Prevention of Diabetes
Abstract: The worldwide burden of Diabetes Mellitus, especially Type 2 diabetes (T2D) has escalated to a critical level. Early detection of diabetes is essential to reduce long‑term complications and healthcare costs. This study explores the use of artificial intelligence (AI) techniques to improve the early diagnosis and prevention of diabetes. We developed an AI model using the Random Forest algorithm, the model predicts diabetes risk based on clinical and lifestyle variables …
Published in Research & Reviews: A Journal of Bioinformatics · Vol. 13, Issue 2, 2026 Read article
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Identifying COVID-19 in chest X-ray and CT scan images through the application of machine learning algorithms.
Abstract: Since the beginning of the current COVID-19 pandemic, more than five million people have been infected and the numbers are still on the rise. Early symptom detection and proper hygienic standards are thus of utmost importance, especially in venues where people are in random or opportunistic contact with each other. To this end, automated systems with medical-grade body temperature measurement, hygienic compliance evaluation and individualized, person-to-person tracking, are essential, not …
Published in Research and Reviews : A Journal of Immunology · Vol. 13, Issue 2, 2023 · pp. 13–21 Read article
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Red Earth Development of a Soil-Based Composite Using Bagasse Ash and Lime: Effects on Plasticity and Compaction Characteristics of Red Earth
Abstract: The concept of sustainable soil composites (SSC) emerges through blending red earth with bagasse ash (BA) and hydrated lime to enhance geotechnical properties and enable productive reuse of agro-industrial waste. Red earth functions as the matrix, BA acts as a fine pozzolanic microfiller, and lime serves as the chemical binder. BA content ranges from 0% to 60%, with 10% identified as optimal; subsequent lime additions from 1% to 5% evaluate …
Published in Journal of Polymer & Composites · Vol. 13, Issue 6, 2025 · pp. 1147–1158 Read article
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Nutritional Management of Dwarfism
Abstract: Early childhood PROTEIN-CALORIE malnutrition is the most prevalent nutritional condition, especially in emerging nations and among disadvantaged people. The primary issue appears to be dietary intake of insufficient good quality protein to meet requirements for growth, resistance, and repair, as well as a low or disproportionately high intake of calories from carbohydrates, despite the possibility of many different synergistic factors influencing its occurrence and manifestations. For many years, the most …
Published in Research and Reviews: A Journal of Pharmaceutical Science · Vol. 14, Issue 2, 2023 · pp. 35–41 Read article
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Cascade of Gait Recognition with Surveillance System in a Client-Server Environment
Abstract: ABSTRACTThis paper presents a system consisting of the application of gait recognition, a physiological biometric applied in a client-server environment. Now-a-days security plays a very important role in almost all fields and most of the public places like banks, airports, railway stations, etc., which require more security as the thieves and criminals are very intelligent whose objective is to create problems for human life and many untoward incidents. The gait …
Published in Journal of Computer Technology & Applications · Vol. 3, Issue 1, 2012 · pp. 26–36 Read article
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Live Integrated Facial Observation (L.I.F.O.)
Abstract: A human face is the most influential part of humans that can uniquely identify a person. Using all the facial characteristics as biometric, the LIFO system can be applicable in many different ways. Like in everyday life, the most mandatory task in any organization is attendance marking. Earlier, people used to mark their presence using paperwork but now along with the advancement of technology, this system has also changed and …
Published in Journal of Advancements in Robotics · Vol. 10, Issue 4, 2023 · pp. 34–43 Read article
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Live Integrated Facial Observation (L.I.F.O.)
Abstract: A human face is the most influential part of humans that can uniquely identify a person. Using all the facial characteristics as biometric, the LIFO system can be applicable in many different ways. Like in everyday life, the most mandatory task in any organization is attendance marking. Earlier, people used to mark their presence using paperwork but now along with the advancement of technology, this system has also changed and …
Published in Journal of Advancements in Robotics · Vol. 8, Issue 2, 2021 · pp. 34–43 Read article
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Generative AI for Designing Sustainable Polymer Composites for Renewable Energy Applications
Abstract: Sustainable polymer composites are increasingly required for renewable energy devices, yet conventional trial-and-error formulation cannot efficiently balance performance, processability, recyclability, and environmental constraints. This study proposes a generative artificial intelligence framework for designing polymer composites for photovoltaic encapsulation, dielectric energy storage, polymer electrolytes, and thermal-management systems. Public polymer-property and composite datasets were curated from open databases and published supplementary records. Chemical descriptors, molecular fingerprints, polymer embeddings, processing variables, and sustainability …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 1232–1257 Read article
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Driver Drowsiness Detection System Using Python, OpenCV and Raspberry Pi
Abstract: The number of accidents and deaths can be greatly decreased by using intelligent systems to prevent auto accidents. Human mistakes, such as drowsy driving, are one of the variables that significantly contribute to accidents. The system looks for symptoms of fatigue and sleepiness on a person's face while they are driving. It is based on an image processing technique. This project presents a way to analyze and anticipate driver drowsiness …
Published in Trends in Opto-electro & Optical Communication · Vol. 13, Issue 2, 2023 · pp. 6–15 Read article
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Assessment of Knowledge, Attitude, and Practice Regarding Ankle Sprain Management Among Sports Persons
Abstract: Ankle sprain is a frequently occurring musculoskeletal injury among athletes and sports participants. If not treated properly, it can result in pain, joint instability, and decreased athletic performance. The present study was conducted to evaluate the knowledge, attitude, and practices (KAP) of sports persons regarding the management of ankle sprain. A descriptive cross-sectional research design was used, involving 100 participants selected through convenience sampling. Data were gathered using a structured …
Published in International Journal of Orthopedic Nursing and Practices · Vol. 4, Issue 1, 2026 · pp. 8–13 Read article
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Virtual Method to Predict Dental Disease
Abstract: The integration of technology and medicine in the healthcare domain has led to the emergence of inventive strategies to improve patient care and diagnostics. One such groundbreaking methodology is the utilization of Convolutional Neural Networks (CNNs) within the domain of deep learning, particularly for image recognition and processing tasks. In this paper, we propose a novel approach to image recognition that employs state-of-the-art deep learning algorithms to create a user-friendly …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 11, Issue 1, 2024 · pp. 8–15 Read article
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Machine Learning Based Early Cataract Detection: A Predictive Modeling Approach
Abstract: Cataracts, characterized by dense cloudy areas in the eye’s lens, afflict more than 50% of elderly individuals, leading to impaired vision and potential blindness. Detecting cataracts at an early stage is crucial to facilitate simpler treatments, as neglecting the condition may necessitate complex eye surgery. To address this issue, we are creating a predictive system that identifies cataract disease by analyzing user-provided eye features. To achieve this, we leverage OpenCV, …
Published in International Journal of Computer Science Languages · Vol. 1, Issue 2, 2023 · pp. 1–8 Read article
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The Effect of Attachment Styles on Emotional Regulation Impacting Relationship Satisfaction: An Exploratory Case Study Design
Abstract: This study explores the impact of early attachment experiences, emotional regulation, and relationship dynamics among six participants through a qualitative case study approach. Using thematic and narrative analyses, the research identifies key patterns in emotional suppression, fear of abandonment, trust issues, and self-awareness. Participants' narratives reveal how childhood experiences with caregivers influenced their emotional regulation strategies and attachment styles in adulthood. Findings indicate that those with secure emotional upbringings exhibited …
Published in International Journal of Behavioral Sciences · Vol. 2, Issue 2, 2025 · pp. 1–17 Read article
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Comparative Responses of Some Fuel Wood Trees at Early Seedling Stage
Abstract: Seedling of leguminous fuel wood trees (Bauhinia variegata, Delonix regia, Peltophorum pterocarpum, Samanea saman, Saraca indica) were analyzed at different developmental stages for biochemical constituents potentially related to fast-growing habit in order to identify some markers. Protein content of leaves and stem tissue was higher in Bauhinia variegata, particularly at later stages. Total amino acid level, however, did not show much difference between growing species. Total carbohydrate content (both soluble …
Published in Research & Reviews : Journal of Botany · Vol. 9, Issue 2, 2020 · pp. 5–13 Read article
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Identification of Diabetic Foot Ulcer by Using Filter and Pixel Classification Methods
Abstract: Ulceration of the foot in diabetes is common and disabling and frequently leads to amputation of the leg. Mortality is high and healed ulcers often recur. The pathogenesis of foot ulceration is complex, clinical presentation variable, and management requires early expert assessment. Interventions should be directed at infection, peripheral ischaemia, and abnormal pressure-loading caused by peripheral neuropathy and limited joint mobility. Despite treatment, ulcers readily become chronic wounds. Diabetic foot …
Published in Research & Reviews: A Journal of Bioinformatics · Vol. 2, Issue 1, 2015 · pp. 22–31 Read article
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A Study of The Performance of surface modified NACA 2416 Airfoils at various Angles of Attach at Re80000
Abstract: This study delves into the aerodynamic effects and characteristics of surface-modified NACA 2416 airfoils, placing a greater emphasis on the aerodynamic efficiency of a two-dimensional surface-modified NACA 2416 airfoil under subsonic flow conditions at Re=80000 and various angles of attack (AOAs). The surface-modified airfoils were crafted using CATIA V5, and simulations were conducted in ANSYS Fluent for angles of attack ranging from 0° to 12°.The CFD results encompass a broad …
Published in Journal of Polymer & Composites · Vol. 12, Issue 2, 2024 · pp. 34–39 Read article