[HTML][HTML] Systems biology approaches to study lipidomes in health and disease

MA Alves, S Lamichhane, A Dickens… - … et Biophysica Acta (BBA …, 2021 - Elsevier
Lipids have many important biological roles, such as energy storage sources, structural
components of plasma membranes and as intermediates in metabolic and signaling …

Urine metabolic fingerprints encode subtypes of kidney diseases

J Yang, R Wang, L Huang, M Zhang… - Angewandte Chemie …, 2020 - Wiley Online Library
Metabolic fingerprints of biofluids encode diverse diseases and particularly urine detection
offers complete non‐invasiveness for diagnostics of the future. Present urine detection …

Investigation of eye-tracking scan path as a biomarker for autism screening using machine learning algorithms

MR Kanhirakadavath, MSM Chandran - Diagnostics, 2022 - mdpi.com
Autism spectrum disorder is a group of disorders marked by difficulties with social skills,
repetitive activities, speech, and nonverbal communication. Deficits in paying attention to …

Fuzzy topic modeling approach for text mining over short text

J Rashid, SMA Shah, A Irtaza - Information Processing & Management, 2019 - Elsevier
In this era, the proliferating role of social media in our lives has popularized the posting of
the short text. The short texts contain limited context with unique characteristics which makes …

[Retracted] A Clinical Decision Support System (CDSS) for Unbiased Prediction of Caesarean Section Based on Features Extraction and Optimized Classification

A Javeed, L Ali, A Mohammed Seid… - Computational …, 2022 - Wiley Online Library
Nowadays, caesarean section (CS) is given preference over vaginal birth and this trend is
rapidly rising around the globe, although CS has serious complications such as pregnancy …

Linking big data and prediction strategies: tools, pitfalls, and lessons learned

S Yang, LG Stansbury, P Rock, T Scalea… - Critical Care …, 2019 - journals.lww.com
Objectives: Modern critical care amasses unprecedented amounts of clinical data—so called
“big data”—on a minute-by-minute basis. Innovative processing of these data has the …

Daylight-electrical-thermal coupling model for real-time zero-energy potential analysis of vacuum-photovoltaic glazing

Y Tan, J Peng, Y Luo, H Li, M Wang, F Zhang, J Ji… - Renewable Energy, 2023 - Elsevier
Windows are considered as the main culprit of heat loss in buildings and the development of
advanced glazing is a global necessity. Vacuum integrated photovoltaic (VPV) glazing was …

Evaluation of environmental impact of construction waste disposal based on fuzzy set analysis

L Kong, B Ma - Environmental Technology & Innovation, 2020 - Elsevier
Construction waste brings great trouble to urban environmental management. The
traditional construction waste disposal method has high operability and low cost. In this …

A hybrid model integrating principal component analysis, fuzzy C-means, and Gaussian process regression for dam deformation prediction

Y Li, T Bao, X Shu, Z Chen, Z Gao, K Zhang - Arabian Journal for Science …, 2021 - Springer
Dam behavior prediction model is a fundamental component of dam structural health
monitoring systems. As the most intuitive monitoring indicators, deformation is commonly …

Identification of fatty acid metabolism–related molecular subtype biomarkers and their correlation with immune checkpoints in cutaneous melanoma

Y Xu, Y Chen, W Jiang, X Yin, D Chen, Y Chi… - Frontiers in …, 2022 - frontiersin.org
Purpose Fatty acid metabolism (FAM) affects the immune phenotype in a metabolically
dynamic tumor microenvironment (TME), but the use of FAM-related genes (FAMGs) to …