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317 articles for “C-Class Function”
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A Review of Literature on Breast Cancer: Molecular Insights, Clinical Approaches, and Future Perspectives
Abstract: Breast cancer is the leading cause of morbidity and mortality in women globally. Although both men and women can get the condition, women are more likely to get it, and its prevalence has been rising globally in recent years. The epidemiology, risk factors, pathophysiology, diagnosis, treatment options, and survival rates of breast cancer are all examined in this review of recent research. Breast cancer can show up as a lump …
Published in International Journal of Oncological Nursing and Practices · Vol. 3, Issue 2, 2025 · pp. 15–20 Read article
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Analysis of Transcription Factor Binding Sites of Co-expressed Genes in Colorectal Tumor by Microarray Data Analysis
Abstract: The utilization of global gene expression profiling to find genes with similar expression patterns is rapidly becoming an extensive approach for understanding the complex cellular processes and disease mechanism. The polygenic nature of colorectal tumor, one of the most deadly cancers worldwide is believed to be caused not only by defects in single gene, but rather by the variation in multiple genes and their complex interactions. However, the regulatory mechanisms …
Published in Research & Reviews: A Journal of Bioinformatics · Vol. 2, Issue 3, 2015 · pp. 8–14 Read article
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Management of Patellar Tendonitis with Polyherbal Ayurveda Formulation
Abstract: Patellar tendonitis or Jumper’s knee is the commonest observed tendon injury amongst sport persons; the disease occurs due to acute or chronic injury during repetitive jumping or running. Patella tendon (ligament) is extremely strong that connects patella to tibia. The tendon receives excessive wear and tear during jumping and stabilising lending. The tendon receives stress in sports persons and athletes involved in different activities of jumping or changing direction frequently. …
Published in Research & Reviews: A Journal of Drug Formulation, Development and Production · Vol. 6, Issue 1, 2019 · pp. 4–9 Read article
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Comparative Analysis of Fuzzy C-Mean and Level Set Segmentation Method for Brain Tumor Classes
Abstract: AbstractImage analysis is very important for many methodologies to process and identify the information of biomedical images. The segmentation technique is used to detect and characterize the biomedical images. The understanding of patient disease problem is an important task for radiologists. In this paper, we have presented the Fuzzy C-Mean (FCM) method for an objective function with fitting value and the Level Set Method (LSM) used for initial seeds contour …
Published in Journal of Open Source Developments · Vol. 4, Issue 3, 2017 · pp. 1–8 Read article
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Detection and Classification of Alzheimer’s Disease Using Deep Learning Technique
Abstract: It is crucial that people with Alzheimer's disease (AD) receive a proper diagnosis to begin preventative action before irreparable brain damage develops. Most people who suffer from Alzheimer's disease (AD), a neurological condition that progresses, are older than 65. The area of interest (ROI) in the hippocampus has been extensively studied for several purposes, including neurological illness research, stress development monitoring, and memory function analysis. Moreover, a connection between Alzheimer's …
Published in Recent Trends in Sensor Research & Technology · Vol. 12, Issue 1, 2025 · pp. 15–20 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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Survey of Liver Disease Prediction Using Machine Learning
Abstract: Liver disease is one of the major causes of death in all over world that impacts the number of people around the world. Diagnosis of liver at early stages is crucial to reduce morality. As technology is growing in health care, machine learning significantly affects health care for predicting conditions at early stages. This study reviews the different approaches based on machine learning and deep learning to predict liver disease. …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 10, Issue 1, 2023 · pp. 30–38 Read article
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Maxillary Advancement by Distraction Osteogenesis in Maxillary Hypoplasia
Abstract: Cleft lip and palate patients (CLP) are borne with a challenging deformity that requires multiple surgical interventions in order to reach functional and esthetic harmony. Distraction osteogenesis has become a widely used treatment of maxillary hypoplasia in CLP-patients because of the reports of better stability and the possibility for larger advancements. We report our treatment experience with a 19 year old cleft lip and palate female patient, presented with maxillary …
Published in Research and Reviews: A Journal of Dentistry · Vol. 6, Issue 1, 2015 · pp. 18–22 Read article
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Homology Modeling and in silico Characterization of a Hypothetical Protein of Arabidopsis lyrata ssp. Lyrata
Abstract: Arabidopsis lyrata, a plant belonging to brassicaceae, is a model organism for studying evolutionary and ecological genetics. Most of the proteins of this plant have remained uncharacterized and their functional roles are still to be elucidated. In this investigation, we have attempted to characterize one such hypothetical protein in terms of its physico-chemical properties, secondary and tertiary structure features by in silico study. The protein was classified under glycoside hydrolase …
Published in Research and Reviews : A Journal of Biotechnology · Vol. 3, Issue 2, 2013 · pp. 1–5 Read article
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Diabetes Risk Prediction from Survey Data Using Machine Learning Algorithms
Abstract: Diabetes mellitus represents one of the most significant global health challenges, affecting millions worldwide and leading to severe complications if left undiagnosed or poorly managed. Early detection and risk assessment are crucial for preventing the progression of this chronic condition. This research presents a comprehensive machine learning approach for predicting diabetes risk using survey-based health parameters. The study implements and compares four prominent classification algorithms: Logistic Regression, K-Nearest Neighbors (KNN), …
Published in International Journal of Bioinformatics and Computational Biology · Vol. 4, Issue 2, 2026 · pp. 1–8 Read article
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Applications of Shape Memory Alloys: A Review
Abstract: Shape memory alloys (SMAs) impart a potential application in a wide range in micro- and nano-industrial world. Classic properties such as free recovery or pseudo-elasticity still needed further specifications in smart materials or micro-actuators applications. Nowadays, a primary goal is achieved that these materials offer a price-competitive advantage compared to other functional materials design. Among all types of functional SMAs, NiTi-based SMA attracted much attention in the rapidly growing field …
Published in Journal of Thin Films, Coating Science Technology & Application · Vol. 2, Issue 2, 2015 · pp. 1–7 Read article
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Automatic Facial Recognition Using Adaptive Modelling of Illumination Field for Shape Recovery of Micro Facial Features
Abstract: In this study, we present an innovative framework to resolve the issue of confounding effects caused by variation of illumination in the scenario of face recognition. The proposed framework involves a mathematically modelled adaptive algorithm which augments the pixels sets of facial images with realistically simulated illumination field. This enhances the recognition rate and subsequently its performance in a way independent of classifier mode for each of its facial parameters. …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 2, Issue 1, 2015 · pp. 19–24 Read article
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Congenital Heart Disease (CHD) Detection Technique Based on Analysis and Classification of ECG Signal
Abstract: As per American Heart Association information, every year 125 babies out of 1000 are born with congenital heart disease (CHD). It was estimated that 36000 children are live born with CHD each year in the European Union. Child with CHD may have hole in heart up to 3–5 mm as small defects and for large defects it may go up to 5–8 mm. Depending upon the size of hole in …
Published in Current Trends in Signal Processing · Vol. 6, Issue 3, 2016 · pp. 29–27 Read article
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Study of Proximity Points and Fixed Points
Abstract: This paper explores the concepts of proximity points and fixed points, which are fundamental in mathematical analysis and nonlinear functional analysis. Fixed-point theorems play a crucial role in optimization, game theory, differential equations, and dynamic systems. Proximity points, an extension of fixed points, provide a more generalized approach, allowing near-coincidence rather than exact identity. The study discusses classical fixed-point theorems, such as Banach’s contraction principle, Brouwer’s fixed-point theorem, and Schauder’s …
Published in Recent Trends in Mathematics · Vol. 1, Issue 2, 2024 · pp. 28–31 Read article
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Concept of Asthyagni w.s.r. to Osteoporosis
Abstract: Asthidhatu is the fifth dhatu which does the function of Shareeradharana. It is formed by the saarabhaaga of the medadhatu and by the action of upachayakaraka asthidhatwagni on the asthiposhakansha present in the aahara rasa. Though there is not even the mention of the name Asthyagni in the classical texts of Ayurveda. But on the basis of the available knowledge about dhatwagni we can formulate ‘Asthyagni’ as “Ushma (sum total …
Published in Research and Reviews : A Journal of Ayurvedic Science, Yoga and Naturopathy · Vol. 8, Issue 2, 2021 · pp. 1–8 Read article
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A Study of Cancer Cell through Sequencing Model
Abstract: The condition to cure of cancer is presented in this paper. Curable, incurable, and destroyable conditions are formulated by the sequencing theory. The role of real number is generalized on the proposed method. The sequencing theory is applied on the cancer cell. The proposed model presents the computational overview of the cancer cell in context to measure and cure. There is set of conditions carried the time and cell sequence. …
Published in Research & Reviews: A Journal of Bioinformatics · Vol. 8, Issue 3, 2021 · pp. 52–54 Read article
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Enhancing Profanity Detection in Dravidian Languages: Leveraging Language Models for Optimization and Improvement
Abstract: Detecting and documenting instances of abusive behaviour can significantly improve the quality of virtual environments. Given the vast amount of content published daily on social media, it is impractical for human annotators to manually identify potentially harmful content. Recent algorithmic initiatives, especially on platforms like Twitter, have advanced in abuse detection. However, for Dravidian texts, there remains a need to understand the context better and build robust language models for …
Published in Recent Trends in Programming languages · Vol. 11, Issue 2, 2024 · pp. 17–23 Read article
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Music Recommendation System and Mood Tweak Using Facial Emotion Recognition
Abstract: A user’s emotions can be detected through their facial expressions, these characteristics can be parsed, and the information can be used to improve the user’s experience. With the computing capabilities of on-board graphic processing, there is a new trend of functionality being considered in the field of emotion detection. The use of Convolutional and Recurring Neural Networks (CNN & RNN) to conduct a comparison on which deep learning can be …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 9, Issue 1, 2022 · pp. 43–49 Read article
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Tirzepatide : Treatment For Diabetes Mellitus II & Obesity
Abstract: Tirzepatide is a novel medication that the FDA has approved to treat type 2 diabetes mellitus. Tirzepatide is used off-label to treat obesity because` of its powerful weight-loss effects. It Known as the "twin epidemics," the prevalence of obesity and diabetes is a growing issue worldwide, particularly in wealthy nations. Therefore, cutting-edge therapeutic strategies are required. Tirzepatide, Known as a "twincretin," tirzepatide is the only dual glucagon-like peptide-1 (GLP-1) and …
Published in Research & Reviews: A Journal of Drug Formulation, Development and Production · Vol. 10, Issue 2, 2023 · pp. 23–32 Read article
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Herbal Medicine in Unani Tradition: Managing Depression from A Holistic Perspective
Abstract: Depression is a prevalent mental health condition marked by persistent sadness and a loss of interest in once- enjoyed activities, often accompanied by an inability to carry out daily tasks, lasting for at least two weeks. In the field of Unani medicine, this disorder falls under the category of "Nafsiyati awamil," with its classical description referred to as "Malenkholiya" or melancholia. According to the World Health Organization (WHO), depression ranks …
Published in Research & Reviews : Journal of Herbal Science · Vol. 12, Issue 3, 2023 · pp. 1–6 Read article