Results 131 to 140 of about 5,323 (170)

Gene Expression-Based Colorectal Cancer Prediction Using Machine Learning and SHAP Analysis. [PDF]

Genes (Basel)
Yin Y, Yang Z, Li X, Gong S, Xu C.
europepmc   +1 more source

Inverse Identification of Energy‐Dependent Laser Absorptivity in NiTi Laser Powder‐Bed Fusion via Calibrated Melt Pool Simulation

Advanced Engineering Materials, EarlyView.
A combined experimental–computational framework identifies energy‐dependent laser absorptivity for NiTi in laser powder‐bed fusion, applicable to conduction and transition modes. Single‐track experiments and thermofluid smoothed particle hydrodynamics simulations are coupled through inverse analysis of melt pool geometry.
Mohamadreza Afrasiabi, Hadi Moutablaleh, Ignatius A. Setiawan, Mehrshad Mehrpouya   +3 more
wiley   +1 more source

Spatial atlas of diabetic kidney disease reveals a B cell-rich subgroup. [PDF]

Nature
Dumoulin B, Levinsohn J, Klötzer KA, Li C, Mao L, Ha E, Mohandes S, Nguyen T, Paruzzo L, Hirohama D, Fang V, Bhoj VG, Parhiz H, Andrade-Silva M, Abedini A, Bergeson A, Traum D, May MJ, Kaestner KH, Ruella M, McAllister FE, Hakimi AA, Li M, Palmer M, Wherry EJ, Hunter CA, Cancro MP, TRIDENT consortium, Susztak K.   +28 more
europepmc   +1 more source

Machine Learning‐Supported Analysis for Predicting and Visualizing Nonlinear Relationships Between Material Properties in Electroplated Chromium Layers

Advanced Engineering Materials, EarlyView.
This study applies machine learning regression to predict chromium layer thickness in decorative trivalent chromium electroplating, using 441 experiments from laboratory‐scale (1L) and pilot‐scale (14L) setups. Tree‐based models, particularly CatBoost, outperformed linear regression by capturing nonlinear parameter interactions (R2$R^2$ up to 0.77 ...
Christoph Baumer, Christopher Mai, Luca Eisentraut, Andreas Bund, Ricardo Buettner   +4 more
wiley   +1 more source

The Immune Microenvironment of Transplant Glomerulitis. [PDF]

Kidney Int Rep
Bracey NA, Maltzman JS, Long AH, Dhanasekaran R, Shankar V, Mohsin A, Kambham N, Wernig G, Gentles AJ, Davis MM, Charu V.   +10 more
europepmc   +1 more source

Microstructure, Thermal Transport, and Dry‐Sliding Tribology of Powder‐Metallurgy Al7075 Composites Reinforced With Sol–Gel‐Derived ZnO–rGO Hybrid Nanoparticles

Advanced Engineering Materials, EarlyView.
Sol–gel‐derived ZnO–rGO hybrid nanoparticles enable Al7075 powder‐metallurgy composites to achieve concurrent gains in hardness and thermal conductivity while markedly lowering friction and wear. The hybrid architecture couples ZnO‐based load support with rGO‐assisted lamellar sliding and heat spreading, revealing a promising route toward lightweight ...
Bunyamin Aksakal, Cevher Kursat Macit, Merve Ayık, Hakan Tutumlu   +3 more
wiley   +1 more source

Machine learning-based determination of sex-related bladder cancer biomarkers. [PDF]

Front Bioinform
Pizzi JR, Adhikari I, Prakash P, Shi H, Miyamoto H, Cui F.   +5 more
europepmc   +1 more source

Active Corrosion Protection of Sintered AA7075 Aluminum Alloy via Mn Powder Addition

Advanced Engineering Materials, EarlyView.
AA7075 containing Mn‐rich particles is fabricated via spark plasma sintering using AA7075 and Mn powders. Corrosion resistance is evaluated through dip‐and‐dry tests using 0.1 M NaCl (pH 6.0), and mass loss decreases with increasing Mn addition. Mn‐rich particles function as a source of Mn ions, and formation of Mn‐accumulation films on Cu‐containing ...
Ko Ebina, Masashi Nishimoto, Izumi Muto
wiley   +1 more source

An empirical three-dimensional metric field for color space

Koenderink J, van Doorn A, Braun DI, Gegenfurtner KR.   +3 more
europepmc   +1 more source

An intelligent framework for advancing large-scale omics data integration. [PDF]

iScience
Cui M, Wang S, Yang F, Wang Y, Kong F, Kong N, Li M, Qiao X, Xu Z, Yan Z, Yan Y, Zhang J, Chen K.   +12 more
europepmc   +1 more source