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Study and Research on Autism Spectrum Disorder Using Supervised Machine-Learning Techniques
Machine learning (ML) is embedded in everyday life and is used around the world by various organizations and in various fields. It has brought about...
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A Mathematical Model for Fibrous Dysplasia: The Role of the Flow of Mutant Cells
Fibrous dysplasia (FD) is a mosaic non-inheritable genetic disorder of the skeleton in which normal bone is replaced by structurally unsound...
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Reconstruction individual three-dimensional model of fractured long bone based on feature points
Three-dimensional (3D) model reconstruction of fractured long bones is of great importance in the research of orthopedic surgery. A method is...
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Analytic approach to explore dynamical osteoporotic bone turnover
BackgroundThe dynamics of the osteoporotic bone turnover is studied in this paper with the aid of stability analysis of the associated mathematical...
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Performance assessment of ontology matching systems for FAIR data
BackgroundOntology matching should contribute to the interoperability aspect of FAIR data (Findable, Accessible, Interoperable, and Reusable)....
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In silico Investigation of Sex-Specific Osteoarthritis in Human Articular Chondrocytes
Osteoarthritis (OA), a progressive degenerative disease of cartilage in joints, is the most common cause of chronic disability in older adults. While...
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Mathematical Model of Building a Neural Network for Diagnosing Circulatory Disorders
AbstractA mathematical model of building a neural network for diagnosing circulatory disorders in the vessels of a human’s circulation is considered....
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Automated Diagnosis of Shoulder Pain Using Regression Algorithms
Shoulder disorders are related with pain, stiffness, weakness, limited range of motion and infirmity, which in some cases may continue for several...
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Why Are Periodic Erythrocytic Diseases so Rare in Humans?
Many studies have shown that periodic erythrocytic (red blood cell linked) diseases are extremely rare in humans. To explain this observation, we...
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Empowering standardization of cancer vaccines through ontology: enhanced modeling and data analysis
BackgroundThe exploration of cancer vaccines has yielded a multitude of studies, resulting in a diverse collection of information. The heterogeneity...
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A Multi-Scale Immune System Simulator for the Onset of Type 2 Diabetes
Type 2 diabetes mellitus (T2D), the most common form of diabetes, is a chronic metabolic disorder characterized by hyperglycemia, insulin resistance,...
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Dynamical Modeling of Stem Cell Regeneration
This chapter introduces a general mathematical framework to model the dynamics of stem cell regeneration. In general, homogeneous stem cell...
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Clustering of Various Diseases by Collagen Gene Using the Positional Factor
Collagen Gene is a protein which is otherwise called alpha-1 type I collagen is found in human beings in type of COL1A1 encoded. The real encoding...
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Mathematical models of leukaemia and its treatment: a review
Leukaemia accounts for around 3% of all cancer types diagnosed in adults, and is the most common type of cancer in children of paediatric age...
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Paradigms in Computer Vision: Biology Based Carbon Domain Postulates Nano Electronic Devices for Generation Next
Nano fabrication of carbon based molecular domain called electro-magnetic nano domain is identified here as an extension of our earlier work on...
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Introduction
This chapter deals with the motivation and methodology that we have planned to adopt and follow in the monograph. Modeling in any aspect of science...
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Treatment of Psoriasis by Interleukin-10 Through Impulsive Control Strategy: A Mathematical Study
Psoriasis is characterized by anomalous growth of keratinocytes (skin cells), which occurs due to abrupt signaling within immune cells and cytokines....
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Combining lexical and context features for automatic ontology extension
BackgroundOntologies are widely used across biology and biomedicine for the annotation of databases. Ontology development is often a manual,...
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A bio-inspired spider-like structure isolator for low-frequency vibration
This paper proposes a quasi-zero stiffness (QZS) isolator composed of a curved beam (as spider foot) and a linear spring (as spider muscle) inspired...
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Develo** the Path Signature Methodology and Its Application to Landmark- Based Human Action Recognition
Landmark-based human action recognition in videos is a challenging task in computer vision. One key step is to design a generic approach that...