Stability-Driven Osteoporosis Screening: Multi-View Consensus Feature Selection with External Validation and Sensitivity Analysis. [PDF]
Waratamrongpatai W +3 more
europepmc +1 more source
This study investigates laser metal deposition of aluminum alloys EN AW‐7075 and EN AW‐5083, using powder blending to compensate zinc and magnesium evaporation. In situ alloying and ex situ alloying with ZnAl12 and AZ91 preserve near‐standard compositions and improve mechanical properties.
Finn Bendixen +3 more
wiley +1 more source
BLMPred: Predicting linear B-cell epitopes using pre-trained protein language models and machine learning. [PDF]
Das B, Frishman D.
europepmc +1 more source
The study investigates novel semi‐finished products made of unidirectionally arranged hemp or pineapple leaf fiber‐reinforced composites produced from different matrices. The materials are analyzed in terms of their mechanical and interfacial properties and void content.
Nina Graupner +22 more
wiley +1 more source
Modeling and forecasting air pollution for public health protection based on ML and time series models in Gulf Cooperation Council (GCC) countries. [PDF]
Daniyal M +5 more
europepmc +1 more source
Rheocasting versus Die Casting: An Insight into the Low‐Cycle Fatigue Behavior of AlSi7Mg0.6
The study compares rheocast lightweight components with high‐pressure die cast materials regarding microstructure and fatigue behavior. Rheocast process offers higher efficiency due to lower casting temperatures. Despite some microstructural differences, both processes show similar strengths (yield strength 125 MPa, tensile strength 240 MPa).
Julia Richter +4 more
wiley +1 more source
PyCaret machine learning library with three preprocessing steps after eLORETA source estimation predicts Alzheimer's disease. [PDF]
Aoki Y +13 more
europepmc +1 more source
Can Ti‐Based MXenes Serve as Solid Lubricants for Brake Applications? A Tribological Study
This study explores the first implementation of Ti‐based MXenes materials in brake pad friction composite material. The resulting composite material exhibits a 48% reduction in the wear rate; alongside significant improvements are observed for thermal and mechanical properties.
Eslam Mahmoud +7 more
wiley +1 more source
Evaluating machine learning models for estimating evapotranspiration in Colombia's Cauca River Valley. [PDF]
Rueda Cadavid JF +4 more
europepmc +1 more source

