14‐day casting‐induced immobilization reduced gastrocnemius muscle mass and increased non‐heme iron and ferritin heavy chain levels. Despite iron accumulation, transferrin receptor 1 and iron regulatory protein 2 were paradoxically upregulated. Lipid peroxidation was elevated without compensatory antioxidant responses.
Haruka Yokogawa +2 more
wiley +1 more source
Design optimization of large-scale bifacial photovoltaic module frame using deep learning surrogate model. [PDF]
Han D, Kim S.
europepmc +1 more source
This study explores the feasibility of expressing the antitumoral protein Amblyomin‐X through a suicide gene therapy approach and investigates its intracellular fate after gene delivery. Although the gene is efficiently expressed, melanoma cells rapidly degrade the Amblyomin‐X protein via proteasome activity.
Victor Dal Posolo Cinel +4 more
wiley +1 more source
A constrained machine learning surrogate model to predict the distribution of water-in-oil emulsions in electrostatic fields. [PDF]
Kooti G +3 more
europepmc +1 more source
MiR‐513a promotes human erythroid differentiation by modulating c‐Jun
During early human erythropoiesis, miR‐513a promoted erythroid differentiation in primary human CD34+ hematopoietic stem‐progenitor cells and human TF‐1 erythroleukemic cells by indirectly decreasing c‐Jun and phospho‐c‐Jun expression, which are associated with increased GATA1 expression.
MinJung Kim +11 more
wiley +1 more source
A Robust Recurrent Neural Networks-Based Surrogate Model for Thermal History and Melt Pool Characteristics in Directed Energy Deposition. [PDF]
Wu SH +5 more
europepmc +1 more source
Despite frogs avoiding low temperatures, examination of four salamander species revealed that none avoided cold and all possessed cold tolerance. Functional analysis of TRPM8, a cold sensor, showed that all salamander TRPM8s had lost their cold sensitivity.
Tadahiro Sawao +3 more
wiley +1 more source
Establishment and application of a surrogate model for human Ebola virus disease in BSL-2 laboratory. [PDF]
Yang W +11 more
europepmc +1 more source
Digital twins to accelerate target identification and drug development for immune‐mediated disorders
Digital twins integrate patient‐derived molecular and clinical data into personalised computational models that simulate disease mechanisms. They enable rapid identification and validation of therapeutic targets, prediction of drug responses, and prioritisation of candidate interventions.
Anna Niarakis, Philippe Moingeon
wiley +1 more source
Author Correction: A constrained machine learning surrogate model to predict the distribution of water-in-oil emulsions in electrostatic fields. [PDF]
Kooti G +3 more
europepmc +1 more source

