Results 181 to 190 of about 5,351,341 (268)

LC-MS/MS-based metabolomics coupled with machine learning for screening candidate biomarkers in bacon. [PDF]

Food Chem X
Huang X, Tian Y, Yang Y, Zheng M, Wang L, Wang S, Zhang T, Lu H.   +7 more
europepmc   +1 more source

Multimodal Mechanical Testing of Additively Manufactured Ti6Al4V Lattice Structures: Compression, Bending, and Fatigue

Advanced Engineering Materials, EarlyView.
In this experimental study, the mechanical properties of additively manufactured Ti‐6Al‐4V lattice structures of different geometries are characterized using compression, four point bending and fatigue testing. While TPMS designs show superior fatigue resistance, SplitP and Honeycomb lattice structures combine high stiffness and strength. The resulting
Klaus Burkart, Jonas Schmidt, Anastasiya Toenjes, Johanna Eisenträger   +3 more
wiley   +1 more source

Correction: Predicting hypertension and identifying most important factors among married women in Bangladesh using machine learning approach. [PDF]

PLoS One
Das NC, Ghosh PK, Hossain MA, Shuvo UA, Talukder NR, Khatun F, Islam Chowdhury MZ.   +6 more
europepmc   +1 more source

Laser Metal Deposition of Aluminum Alloys 7075 and 5083 with the Addition of Volatile Alloying Elements through Powder Blending

Advanced Engineering Materials, EarlyView.
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, Anastasiya Toenjes, Annika Bohlen, Thomas Seefeld   +3 more
wiley   +1 more source

Unidirectional Tape‐Based Composites from Hemp and Pineapple Leaf Fiber: Mechanical Performance in Conventional and Bio‐Based Matrices

Advanced Engineering Materials, EarlyView.
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, Raja Bade, Valentin Ackermann, Roja M. Baumann, Corvin Bischoff, Jona F. Ebeling, Oskar Glenz, Marlo Groh, Jonathan Groth, Finja Hiller, Tom Hirschmüller, Felix Menke, Syntcha Ngantchou Lecdou, Mika Ohler, Daniel Rafii Vardiny, Darius Richter, Dario Röper, Henrik Schumacher, Theresa Stein, Benjamin Vorbeck, Elisabeth Wermter, Kay Kölzig, Jörg Müssig   +22 more
wiley   +1 more source

A New Framework for Job Shop Integrated Scheduling and Vehicle Path Planning Problem. [PDF]

Sensors (Basel)
Li R, Mao J, Wu X, Zhou W, Qian C, Du H.
europepmc   +1 more source

Rheocasting versus Die Casting: An Insight into the Low‐Cycle Fatigue Behavior of AlSi7Mg0.6

Advanced Engineering Materials, EarlyView.
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, Thomas Wegener, Andreas Schilling, Martin Fehlbier, Thomas Niendorf   +4 more
wiley   +1 more source

Machine learning-based study of the predictors of clinically important change in patient-reported outcomes in bilateral upper-limb function in patients receiving robotic stroke rehabilitation. [PDF]

Front Rehabil Sci
Chen YW, Lin KC.
europepmc   +1 more source

Can Ti‐Based MXenes Serve as Solid Lubricants for Brake Applications? A Tribological Study

Advanced Engineering Materials, EarlyView.
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, Jakob Gruber, Hakan Göçerler, Pierluigi Bilotto, Christian Gierl‐Mayer, Elham Loni, Michael Naguib, Carsten Gachot   +7 more
wiley   +1 more source

Explainable artificial intelligence approaches for predicting depression by combining feature selection methods and machine learning classifiers. [PDF]

Digit Health
Kim MG, Lee KC, Lee K, Kim HU, Seo YW, Chae SW.   +5 more
europepmc   +1 more source