Results 171 to 180 of about 103,994 (257)

Immunologic clustering of donor-specific antibodies and clinical outcomes in kidney transplant recipients. [PDF]

World J Transplant
Al-Qurashi SH, Khalil MAM, Mahmood HHK, Alsharif MM, Alqurashi YF, Alghamdi L, Al-Ghamdi RA, Alsaedi ZA, Cruz AJD, Aboasamh GA, Sadagah NM.   +10 more
europepmc   +1 more source

Karl Popper and the Mechanisms of Hydrogen Embrittlement

Advanced Engineering Materials, EarlyView.
Representation of the beginning of loss of ductility rather than embrittlement. Small concentrations of hydrogen in a diffusible form within iron are well‐established to harm the mechanical integrity of steels. There are theories that attempt to explain the pernicious role of hydrogen.
H. K. D. H. Bhadeshia
wiley   +1 more source

Experimental and machine learning-based exploration of repurposed drugs reveals chemical features underlying phospholipidosis. [PDF]

Patterns (N Y)
Kuzikov M, Kalman A, Karki R, Reinshagen J, Huchting J, Qian K, Axelsson H, Tampere M, Östling P, Seashore-Ludlow B, Gadiya Y, Gribbon P, Zaliani A.   +12 more
europepmc   +1 more source

Understanding the Stochastic Nature of Process Parameter Development of Blown Powder Laser Beam Directed Energy Deposition Additive Manufacturing of Pure Molybdenum

Advanced Engineering Materials, EarlyView.
Identified through the use of statistical design of experiments and metallographic investigation, this study exposes the stochastic origins of intergranular cracks in blown powder laser beam directed energy deposition additive manufacturing of pure molybdenum. It further demonstrates a successful crack mitigation approach with direct correlation to the
Nathaniel J. Lies, Daniel E. Driemeyer, Aaron P. Stebner   +2 more
wiley   +1 more source

Beyond Partitioning: Using Force Field Science to Evaluate Electrostatics Models. [PDF]

J Chem Theory Comput
Najla Hosseini A, Kříž K, van der Spoel D.   +2 more
europepmc   +1 more source

Fostering Innovation: Streamlining Magnetocaloric Materials Research by Digitalization

Advanced Engineering Materials, EarlyView.
Magnetocaloric cooling (MCE) is an environmentally friendly refrigeration method with great potential. Optimizing MCE materials involves the preparation and screening of large quantities of samples, which in turn generates a large amount of data. A digitalization approach is presented that uses ontologies, knowledge graphs, and digital workflows to ...
Simon Bekemeier, Moritz Blum, Luana Caron, Alisa Chirkova, Philipp Cimiano, Basil Ell, Inga Ennen, Michael Feige, Maik Gaerner, Thomas Hilbig, Andreas Hütten, Günter Reiss, Tapas Samanta, Sonja Schöning, Christian Schröder, Lennart Schwan, Chris Taake, Martin Wortmann   +17 more
wiley   +1 more source

Fourier-based electroencephalography analysis for predicting anaesthetic emergence: Proof-of-concept in a neurosurgical patient undergoing non-neurosurgical procedures. [PDF]

Indian J Anaesth
Sharma KK, Sharma S, Takkar V.
europepmc   +1 more source

Is an Apple an Orange? A Large Language Model Benchmark for Candidate Term Extraction and Subclass Decisions Against Upper Ontologies in Engineering and Materials Science

Advanced Engineering Materials, EarlyView.
Building machine‐readable vocabularies for materials science is slow, expert‐driven work. This study benchmarks 13 large language models on two of its first steps: finding candidate terms in engineering articles and deciding where they belong in a class hierarchy.
Thomas Bjarsch, Maximilian Holland, Klaus Drechsler, Johannes Schilp   +3 more
wiley   +1 more source

Assessment of a 40-year-old induction motor using hybrid diagnostic and AI-based predictive techniques. [PDF]

Sci Rep
Butukuri KR, Giri NC, Yemula PK, Penubaka RKKR, Vennila H, Das SR.   +5 more
europepmc   +1 more source

Multimodal Data‐Driven Microstructure Characterization

Advanced Engineering Materials, EarlyView.
A self‐consistent autonomous workflow for EBSP‐based microstructure segmentation by integrating PCA, GMM clustering, and cNMF with information‐theoretic parameter selection, requiring no user input. An optimal ROI size related to characteristic grain size is identified.
Qi Zhang, Santiago Benito, Özge Özgün, Sebastian Weber, Markus Stricker   +4 more
wiley   +1 more source