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Comparison Analysis of GLCM and PCA on Parkinson's Disease Using Structural MRI
Parkinson disease (PD) is a neurological disorder where the dopaminergic neurons experience deterioration. It is caused from the death of the dopamine neurons present in the substantia nigra i.e., the mid part of the brain. The...
Published by: IGI Global Scientific Publishing
Study on Brain Tumor Classification Through MRI Images Using a Deep Convolutional Neural Network
Brain tumor (Glioma) is one of the deadliest diseases that attack humans, now even men or women aged 20-30 are suffering from this disease. To cure tumor in a person, doctors use MRI machine, because the results of MRI images...
Published by: IGI Global Scientific Publishing
Cost Modelling for Powder Bed Fusion and Directed Energy Deposition Additive Manufacturing
Additive manufacturing (AM) is increasingly used for fabricating parts directly from digital models, usually by depositing and bonding successive layers of various materials such as polymers, metals, ceramics, and composites....
Analyzing Evolution Patterns of Object-Oriented Metrics
Software evolution is mandatory to keep it useful and functional. However, the quality of the evolving software may degrade due to improper incorporation of changes. Quality can be monitored by analyzing the trends of software...
Published by: IGI Global Scientific Publishing
An Artificial Intelligence-Based Smart System for Early Glaucoma Recognition Using OCT Images
Glaucoma is a progressive and constant eye disease that leads to a deficiency of peripheral vision and, at last, leads to irrevocable loss of vision. Detection and identification of glaucoma are essential for earlier treatment...
Medicine and Healthcare Medical Diagnosis and Practice Medical Imaging Computer Science and Information Technology Media and Communications
Published by: IGI Global Scientific Publishing
A Text Mining Framework for Analyzing Change Impact and Maintenance Effort of Software Bug Reports
Software practitioners often strive to achieve a “bug-free” software, though, it is a myth. Software Bug Categorization (SBC) models, which assigns levels (viz. “low”, “moderate” or “high”) to a software bug aid effective bug...
Published by: IGI Global Scientific Publishing
Recent advancements in nano-lubrication strategies for machining processes considering their health and environmental impacts
Industries have been seeking an efficient lubrication system that meets the requirement of sustainability without compromising manufacturing efficiency or final part quality. Conventional cutting fluids have been recognized as...
Recent advancements in nano-lubrication strategies for machining processes considering their health and environmental impacts
Industries have been seeking an efficient lubrication system that meets the requirement of sustainability without compromising manufacturing efficiency or final part quality. Conventional cutting fluids have been recognized as...
Comparison of Machining Performance under MQL and Ultra-High Voltage EMQL Conditions Based on Tribological Properties
This novel work presents the comparison of a newly developed ultra-high voltage electrostatic minimum quantity lubrication (EMQL) using a customized nozzle with the MQL technique as an alternative cooling/lubricating method in...
Comparison of Machining Performance under MQL and Ultra-High Voltage EMQL Conditions Based on Tribological Properties
This novel work presents the comparison of a newly developed ultra-high voltage electrostatic minimum quantity lubrication (EMQL) using a customized nozzle with the MQL technique as an alternative cooling/lubricating method in...
Cost Modelling for Powder Bed Fusion and Directed Energy Deposition Additive Manufacturing
Additive manufacturing (AM) is increasingly used for fabricating parts directly from digital models, usually by depositing and bonding successive layers of various materials such as polymers, metals, ceramics, and composites....
An Artificial Intelligence-Based Smart System for Early Glaucoma Recognition Using OCT Images
Glaucoma is a progressive and constant eye disease that leads to a deficiency of peripheral vision and, at last, leads to irrevocable loss of vision. Detection and identification of glaucoma are essential for earlier treatment...
Published by: IGI Global Scientific Publishing
The patient experience of Raynaud's phenomenon in systemic sclerosis
John D Pauling, Lesley Ann Saketkoo, Marco Matucci-Cerinic, Francesca Ingegnoli, Dinesh Khanna
Jan 01, 2019
RP is the most common manifestation of SSc and a major cause of disease-related morbidity. This review provides a detailed appraisal of the patient experience of SSc-RP and potential implications for disease classification...
The patient experience of Raynaud's phenomenon in systemic sclerosis
John D Pauling, Lesley Ann Saketkoo, Marco Matucci-Cerinic, Francesca Ingegnoli, Dinesh Khanna
Jan 01, 2019
RP is the most common manifestation of SSc and a major cause of disease-related morbidity. This review provides a detailed appraisal of the patient experience of SSc-RP and potential implications for disease classification...
Strengthening the integration of eye care into the health system
Stuart Keel, Jennifer R Evans, Sandra Block, Rupert Bourne, Margarita Calonge, Ching-Yu Cheng, David S Friedman, João M Furtado, Rohit C Khanna, Wanjiku Mathenge, Silvio Mariotti, Elenoa Matoto, Andreas Müller, M Mansur Rabiu, Tuwani Rasengane, Jialang Zhao, Richard Wormald, Alarcos Cieza
Aug 21, 2020
OBJECTIVE: To describe the rational for, and the methods that will be employed to develop, the WHO package of eye care interventions (PECI). METHODS AND ANALYSIS: The development of the package will be conducted in four steps...
Evaluation of Parameter Settings for Training Neural Networks Using Backpropagation Algorithms
Artificial neural networks (ANN) are widely used for classification, and the training algorithm commonly used is the backpropagation (BP) algorithm. The major bottleneck faced in the backpropagation neural network training is in...
Published by: IGI Global Scientific Publishing
Integration of Multi-Class Service Paradigm With Generic Trust Mechanism for Innovation, Customization and Adaptability in MANETs
Trust-based mechanisms are widely used in wireless networks of different kinds for providing security against attack. Trust mechanism provides security from various attacks using both detective and preventive manner. This paper...
Published by: IGI Global Scientific Publishing
Performance Evaluation of Machine Learning Algorithms for Stock Price and Stock Index Movement Prediction Using Trend Deterministic Data Prediction
This experimental study addresses the problem of predicting the direction of stocks and the movement of stock price indices for three major stocks and stock indices. The proposed approach for processing input data involves the...
Published by: IGI Global Scientific Publishing
Is information provided within chronic subdural haematoma education resources adequate? A scoping review.
Conor S Gillespie, Samuel Khanna, Mark E Vivian, Samuel McKoy, Alvaro Yanez Touzet, Ellie Edlmann, Daniel J Stubbs, Benjamin M Davies
Apr 17, 2023
Background
Chronic subdural haematoma (CSDH) is becoming increasingly prevalent, due to an aging population with increasing risk factors. Due to its variable disease course and high morbidity, patient centred care and...
Published by: PLOS ONE
Towards Detecting Dementia via Deep Learning
Dementia is a brain disorder that causes loss of memory leading to disruption in the normal course of life of an individual. It is emerging as a global health problem in adults with age 65 years or above. Early diagnosis of...
Published by: IGI Global Scientific Publishing
Combating Drug Counterfeiting by Tracing Ownership Transfer Using Blockchain Technology
Supply chain management in healthcare sector plays significant role in the lives of people. Presence of intermediaries and lack of traceability has lured it towards drug counterfeiting, which reduces drug efficacy, thus...
Published by: IGI Global Scientific Publishing
A multi-national qualitative research study exploring the patient experience of Raynaud's phenomenon in systemic sclerosis
John D Pauling, Robyn T Domsic, Lesley A Saketkoo, Celia Almeida, Jane Withey, Hilary Jay, Tracy M Frech, Francesca Ingegnoli, Emma Dures, Joanna Robson, Neil J McHugh, Ariane L Herrick, Marco Matucci-Cerinic, Dinesh Khanna, Sarah Hewlett
Sep 30, 2018
OBJECTIVES: Raynaud's phenomenon (RP) is the commonest manifestation of systemic sclerosis (SSc). RP is an episodic phenomenon, not easily assessed in the clinic, leading to reliance on self-report. A thorough understanding...
SARS-CoV-2 Infects Human Pluripotent Stem Cell-Derived Cardiomyocytes, Impairing Electrical and Mechanical Function.
Silvia Marchiano, Tien-Ying Hsiang, Akshita Khanna, Ty Higashi, Leanne S Whitmore, Johannes Bargehr, Hongorzul Davaapil, Jean Chang, Elise Smith, Lay Ping Ong, Maria Colzani, Hans Reinecke, Xiulan Yang, Lil Pabon, Sanjay Sinha, Behzad Najafian, Nathan J Sniadecki, Alessandro Bertero, Michael Gale, Charles E Murry
Feb 26, 2021
COVID-19 patients often develop severe cardiovascular complications, but it remains unclear if these are caused directly by viral infection or are secondary to a systemic response. Here, we examine the cardiac tropism of...
covid-19 SARS-CoV-2 arrhythmias and heart failure cardiac infection cardiovascular disease hESC-CMs hPSC-CMs human pluripotent stem cell-derived cardiomyocytes viral myocarditis covid-19 Cells Cultured Humans Induced Pluripotent Stem Cells Myocytes Cardiac RNA Splicing RNA Messenger SARS-CoV-2 Virus Internalization
Blockchain Application Design and Algorithms for Traceability in Pharmaceutical Supply Chain
Blockchain technology has garnered attention from stakeholders in many domains, including healthcare, governance and supply chain management. In the context of healthcare, traceability of pharmaceutical drugs in a transparent...
Published by: IGI Global Scientific Publishing
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