Results 191 to 200 of about 131,152 (300)

Characterization of Defect Distribution in an Additively Manufactured AlSi10Mg as a Function of Processing Parameters and Correlations with Extreme Value Statistics

Advanced Engineering Materials, EarlyView.
Predicting extreme defects in additive manufacturing remains a key challenge limiting its structural reliability. This study proposes a statistical framework that integrates Extreme Value Theory with advanced process indicators to explore defect–process relationships and improve the estimation of critical defect sizes. The approach provides a basis for
Muhammad Muteeb Butt, Varma Kvvssn, Hossein Laieghi, Zia Uddin, Peyman Ansari, E. Kıvanç Sadak, Can Barış Toprak, Hüseyin Kızıl, Enrico Salvati   +8 more
wiley   +1 more source

FCA-STNet: Spatiotemporal Growth Prediction and Phenotype Extraction from Image Sequences for Cotton Seedlings. [PDF]

Plants (Basel)
Wan Y, Han B, Chu P, Guo Q, Zhang J.
europepmc   +1 more source

Development and Preliminary In Vivo Study of 3D‐Printed Bioactive Glass Scaffolds with Trabecular Architecture

Advanced Engineering Materials, EarlyView.
This study reports the fabrication of trabecular bioactive glass scaffolds (composition “1d”: 46.1SiO2‐28.7CaO‐8.8MgO‐6.2P2O5‐5.7CaF2‐4.5Na2O wt%) through vat photopolymerization and the relevant results from mechanical testing and in vivo implantation procedures in rabbit femora, showing great promise for bone tissue engineering applications.
Dilshat Tulyaganov, Roberta Gabrieli, Avzal Akbarov, Nigora Nigmatova, Bekhzod Khabilov, Alessandro Schiavi, Martin Schwentenwein, Enrica Verné, Francesco Baino   +8 more
wiley   +1 more source

Development and Cross-Cultural Validation of the Vietnamese Version of the Disaster Prevention Consciousness Scale: A Cross-Sectional Study. [PDF]

Health Sci Rep
Akiyama N, Nguyen H, Shimazaki K, Ha PH, Kajiwara S.   +4 more
europepmc   +1 more source

What Do Large Language Models Know About Materials?

Advanced Engineering Materials, EarlyView.
If large language models (LLMs) are to be used inside the material discovery and engineering process, they must be benchmarked for the accurateness of intrinsic material knowledge. The current work introduces 1) a reasoning process through the processing–structure–property–performance chain and 2) a tool for benchmarking knowledge of LLMs concerning ...
Adrian Ehrenhofer, Thomas Wallmersperger, Gianaurelio Cuniberti   +2 more
wiley   +1 more source

Facilitator and barrier perspectives on learning and implementing high-resolution anoscopy in Abuja, Nigeria: a qualitative study. [PDF]

BMC Cancer
Mansfield ME, Volpi CR, John C, Adebiyi R, Mitchell A, Aigoro JA, Bawa YJ, Kolawole KE, Ononaku U, Jibrin P, Olaomi O, Agbo F, Aka A, Bentzen SM, Goldstone SE, Dakum P, Palefsky JM, Knott C, Adebajo S, Nowak RG.   +19 more
europepmc   +1 more source

NFDI MatWerk Ontology (MWO): A BFO‐Compliant Ontology for Research Data Management in Materials Science and Engineering

Advanced Engineering Materials, EarlyView.
This article presents the NFDI‐MatWerk Ontology (MWO), a Basic Formal Ontology‐based framework for interoperable research data management in materials science and engineering (MSE). Covering consortium structures, research data management resources, services, and instruments, MWO enables semantic integration, Findable, Accessible, Interoperable, and ...
Hossein Beygi Nasrabadi, Ebrahim Norouzi, Kostiantyn Hubaiev, Jörg Waitelonis, Harald Sack   +4 more
wiley   +1 more source

AIVIVE: a novel AI framework for enhanced in vitro to in vivo extrapolation (IVIVE) of toxicogenomics data. [PDF]

Toxicol Sci
Chandra M, Li T, Tong W.
europepmc   +1 more source

Interaction between Molten Al‐Killed Mn–B Steel and Carbon‐Bonded MgO Refractories Based on Recyclates

Advanced Engineering Materials, EarlyView.
High‐temperature interactions between low‐sulfur Al‐killed Mn–B steel and MgO–C refractories (0 and 50 wt% recyclates) are studied via finger immersion tests (1600 °C). Surface‐active elements influence infiltration. MgO/CaS layer forms, along with spinel and calcium silicate.
Matheus Roberto Bellé, Lukas Neubert, Anton Yehorov, Till M. J. Stadtmüller, Christos G. Aneziris, Olena Volkova   +5 more
wiley   +1 more source

An Inexpensive AI-Powered IoT Sensor for Continuous Farm-to-Factory Milk Quality Monitoring. [PDF]

Sensors (Basel)
Fizza K, Banerjee A, Georgakopoulos D, Jayaraman PP, Yavari A, Dawod A.   +5 more
europepmc   +1 more source