Results 91 to 100 of about 7,621 (201)

'Neural network' algorithm to predict severity in epidermolysis bullosa simplex

Indian Journal of Dermatology, Venereology and Leprology, 2005
There are various genotypic variations known for the four phenotypic presentations of epidermolysis bullosa simplex (EBS). A neural network algorithm may be used to find the relationship between the various factors responsible for a particular phenotypic presentation.
openaire   +2 more sources

Insights Into the Biological Mechanisms and Multifunctional Health Benefits of Morelloflavone

eFood, Volume 7, Issue 4, August 2026.
Morelloflavone (MF), a biflavonoid from Garcinia and related species, exhibits broad human health benefits through antioxidant, anti‐inflammatory, anticancer, and metabolic regulatory effects. This review highlights its molecular mechanisms, biosynthesis, and emerging roles in chronic disease prevention, emphasizing systems biology and machine learning
Yi Liu, Ziyong Mao, Jesus Simal‐Gandara, Zi Chen, Hui Cao   +4 more
wiley   +1 more source

Virtual Screening of Bacteriocins From Lactic Acid Bacteria Against Monkeypox DNA Polymerase: Sakacin P and Mundticin KS Emerge as Promising Candidates

Food Science &Nutrition, Volume 14, Issue 8, August 2026.
This study employs an in silico virtual screening workflow to evaluate lactic acid bacteria (LAB)‐derived bacteriocins as potential inhibitors of the monkeypox virus DNA polymerase (MPDP). Protein‐peptide docking simulations using the HADDOCK platform revealed that Sakacin P and Mundticin KS possess the highest binding affinities for the MPDP target ...
Melisa Z. Karaman, Karan Goel, Fernando Berton Zanchi, Aykut Ozdarendeli, Somdutt Mujwar, Ahmet E. Yetiman, Ozkan Fidan   +6 more
wiley   +1 more source

Persistent sheaf Laplacian analysis of protein stability and solubility changes upon mutation

Protein Science, Volume 35, Issue 8, August 2026.
Abstract Genetic mutations frequently disrupt protein structure, stability, and solubility, acting as primary drivers for a wide spectrum of diseases. Despite the critical importance of these molecular alterations, existing computational models often lack interpretability and fail to integrate essential physicochemical interactions.
Yiming Ren, Junjie Wee, Xi Chen, Grace Qian, Guo‐Wei Wei   +4 more
wiley   +1 more source

Scalable Approximation of the Transformation‐Free Linear Simplicial–Simplicial Regression via Constrained Iterative Reweighted Least Squares

Statistical Analysis and Data Mining: An ASA Data Science Journal, Volume 19, Issue 4, August 2026.
ABSTRACT Simplicial–simplicial regression concerns statistical modeling scenarios in which both the predictors and the responses contain vectors constrained to lie on the simplex. Fiksel et al. introduced a transformation‐free linear regression framework for this setting, wherein the regression coefficients are estimated by minimizing the Kullback ...
Michail Tsagris, Omar Alzeley
wiley   +1 more source

Simplex-lattice design and decision tree optimization of endophytic Trichoderma-multi-walled carbon nanotube composite for enhanced methylene blue removal

Heliyon
This study investigates a novel approach for enhancing methylene blue (MB) removal from water using a composite of endophytic Trichoderma mate and multi-walled carbon nanotubes (MWCNTs).
Sahar E. Abo-Neima, Emad M. Elsehly, Fatimah O. Al-Otibi, Mohammed M. El-Metwally, Yosra A. Helmy, Noha M. Eldadamony, WesamEldin I.A. Saber, Adel A. El-Morsi   +7 more
doaj   +1 more source

Modeling Heterogeneity in Health Risk Behaviors With a Dynamic Mixture Model Informed by Textual Occupational Data

Statistics in Medicine, Volume 45, Issue 18-19, August 2026.
ABSTRACT Health risk behaviors, including smoking, poor nutrition, alcohol misuse, and physical inactivity (SNAP), are leading contributors to chronic disease burden and healthcare costs worldwide. Their prevalence is shaped not only by individual demographic characteristics but also by contextual factors such as socioeconomic and occupational ...
Lorenzo Schiavon, Mattia Stival, Angela Andreella, Stefano Campostrini   +3 more
wiley   +1 more source

Network Meta‐Analysis of Survival Outcomes With Non‐Proportional Hazards Using Flexible M‐Splines

Statistics in Medicine, Volume 45, Issue 18-19, August 2026.
ABSTRACT Network meta‐analysis (NMA) is widely used in healthcare decision‐making, where estimates of the effect of multiple treatments on outcomes are required. For time‐to‐event outcomes such as survival or disease progression the most common approach is to model log hazard ratios; however, this relies on the proportional hazards assumption.
David M. Phillippo, Ayman Sadek, Hugo Pedder, Nicky J. Welton   +3 more
wiley   +1 more source

Analysis of weighted gene co-expression networks and clinical validation identify hub genes and immune cell infiltration in the endometrial cells of patients with recurrent implantation failure

Frontiers in Genetics
Background:About 10% of individuals undergoing in vitro fertilization encounter recurrent implantation failure (RIF), which represents a worldwide social and economic concern.
Zhenteng Liu, Zhenteng Liu, Shoucui Lai, Shoucui Lai, Qinglan Qu, Qinglan Qu, Xuemei Liu, Xuemei Liu, Wei Zhang, Wei Zhang, Dongmei Zhao, Dongmei Zhao, Shunzhi He, Shunzhi He, Yuxia Sun, Yuxia Sun, Hongchu Bao, Hongchu Bao   +17 more
doaj   +1 more source

Modeling of Air Emissions From Co‐Pyrolysis of Polymeric Wastes: Simplex Lattice Design and Artificial Neural Network Approach

Environmental Quality Management, Volume 36, Issue 2, August 2026.
ABSTRACT Co‐pyrolysis of plastics is a simultaneous thermochemical conversion of a mixture of plastics to value‐added products. This study quantified air emissions from co‐pyrolysis of low‐density polyethylene (LDPE), polystyrene (PS), and polyethylene terephthalate (PET) at varying mixture compositions.
Atilade A. Oladunni, Oludare J. Odejobi, Jacob A. Sonibare, Stephen A. Odewale, Naadhira Seedat   +4 more
wiley   +1 more source