Results 101 to 110 of about 236,289 (250)

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

The speaker's “okay” vs. the listener's “okay”: exploring lexical, phonetic, and multimodal variation of backchannels and fluencemes in conversation

Frontiers in Communication
This research explores the use of fluencemes and backchannels in German face-to-face conversations. Fluencemes are produced by the current speaker to facilitate speech planning and to structure the speaking turn, while backchannels are produced by the ...
Marlene Böttcher, Martina Rossi
doaj   +1 more source

Microstructure Evolution of a VMnFeCoNi High‐Entropy Alloy After Synthesis, Swaging, and Annealing

Advanced Engineering Materials, EarlyView.
The synthesis and processing (rotary swaging and annealing) of the novel VMnFeCoNi alloy is investigated, alongside the estimation of the grain size effect on hardness. Analysis of a wide grain size range of recrystallized microstructures (12–210 µm) reveals a low annealing twin density.
Aditya Srinivasan Tirunilai, Zeki Ayrildi, Buse Şen, Maik Rajkowski, Mathias Redondo Garcia, Markus Stricker, Guillaume Laplanche   +6 more
wiley   +1 more source

Nested mechanosensory feedback actively damps visually guided head movements in Drosophila. [PDF]

Elife, 2022
Cellini B, Mongeau JM.
europepmc   +1 more source

High‐Temperature Nanoindentation of Metals: Assessing Thermal Drift, Frame Compliance, and Chemical Composition Effects on the Reported Mechanical Properties

Advanced Engineering Materials, EarlyView.
Do not let thermal drift and instrument artifacts deceive high‐temperature nanoindentation results. We compare classical Oliver–Pharr and automatic image recognition analyses across steels and a Ni alloy to quantify these effects. Accounting for artifacts reveals systematic softening with temperature, while Cr and Ni additions boost resistance ...
Velislava Yonkova, Steffen Brinckmann, Ruth Schwaiger   +2 more
wiley   +1 more source

Ventral premotor cortex encodes task relevant features during eye and head movements. [PDF]

Sci Rep, 2022
Smalianchuk I, Gandhi NJ.
europepmc   +1 more source

Head Movement and Labeling

The Linguistic Association of Korea Journal, 2014
In this paper, in line with Carstens, Hornstein, and Seely (2013), I advocate the traditional concept of head movement that can be maintained in terms of category and relevant features of the moving item and the target, contra Chomsky (2013) and Cecchetto and Donati (2010).
openaire   +1 more source

Continuous Stiffness Graded Metal–Ceramic Femoral Stems: UMAT‐Based Design and Finite Element Assessment

Advanced Engineering Materials, EarlyView.
Functionally graded metal–ceramic femoral stems are engineered through continuous UMAT‐based stiffness tailoring, eliminating discrete material interfaces while enhancing biomechanical compatibility. Low‐index power‐law gradation optimizes load transfer, reduces stress shielding, and controls implant–bone micromotion, highlighting a materials‐design ...
Rihem Nouira, Sameh Elleuch, Hanen Jrad
wiley   +1 more source

Spontaneous head-movements improve sound localization in aging adults with hearing loss. [PDF]

Front Hum Neurosci, 2022
Gessa E, Giovanelli E, Spinella D, Verdelet G, Farnè A, Frau GN, Pavani F, Valzolgher C.   +7 more
europepmc   +1 more source

Extrusion‐Based Additive Manufacturing of Advanced Ceramics: Strengthening Mechanisms and Process Optimization Review

Advanced Engineering Materials, EarlyView.
This review comprehensively evaluates extrusion‐based additive manufacturing for advanced ceramics, detailing feedstock options and key process parameters. By critically addressing defect mechanisms like porosity and cracking, the work highlights optimization strategies through machine learning and advanced postprocessing.
Meisam Bakhtiari, Mohammad Hadi Sheikh‐Ansari, Avinash Borgaonkar, Mehran Dadkhah, Abdollah Saboori   +4 more
wiley   +1 more source