Results 171 to 180 of about 112,045 (262)

dynoGP: Deep Gaussian Processes for Dynamic System Identification

International Journal of Adaptive Control and Signal Processing, EarlyView.
This work introduces a novel class of deep models for system identification, dynamical deep Gaussian processes, which combine the strengths of data‐driven methods, such as those based on neural network architectures, with the ability to output a probability distribution for uncertainty representation.
Alessio Benavoli, Marco Forgione, Dario Piga   +2 more
wiley   +1 more source

Vocational rehabilitation for people with multiple sclerosis: A systematic scoping review of international evidence. [PDF]

PLoS One
Gualco C, Grange E, Rotondi F, Salivetto M, Pignattelli E, Manacorda T, Grasso MG, Presicce G, Inglese M, Nasone L, Durando P, Dini G, Persechino B, Brichetto G, Ponzio M.   +14 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

Interventions to reduce occupational burnout in general practitioners: a systematic review and meta-analysis protocol. [PDF]

Front Public Health
Xi W, Li Z, Chen S, Xia P, Zhang Z, Chen Y, Li J, Shuai X, Zou C.   +8 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

The Impact of Job Strain on Occupational Access to Firearms and Firearm-Related Suicide Among US Workers. [PDF]

Am J Ind Med
Soupene VA, Davis J, Cavanaugh JE, Platt JM, Romitti PA, Casteel C.   +5 more
europepmc   +1 more source

Combined Process‐ and Phase‐Field‐Simulation to Predict the Microstructure of Single‐Crystal Ni‐Based Superalloys

Advanced Engineering Materials, EarlyView.
A combined finite element and phase‐field approach predicts the evolution of microstructure during the directional solidification of Ni‐based superalloys. The model reveals how withdrawal rate, temperature gradient, and wall thickness control the dendrite spacing, highlighting the strong effect of surface regions in thin sections where dendrite growth ...
Sean Böhm, André B. Baldissera, Rainer Völkl, Uwe Glatzel   +3 more
wiley   +1 more source

Social Support and Strain Amongst Early Childhood Educators: Insights from Experiences in the Workplace. [PDF]

Early Child Educ J
Orman MC, Reyes LI, Gilbert C, Freimuth EM, Meyerson ZG, Carmona BA, Bellows LL.   +6 more
europepmc   +1 more source

Field Report from Collaborative Research Center 1625: Heterogeneous Research Data Management Using Ontology Representations

Advanced Engineering Materials, EarlyView.
A unified research data management framework for heterogeneous materials data is presented. The system integrates multimodal datasets using ontologies and knowledge graphs, enabling interoperability and FAIR (findable, accessible, interoperable, reusable) data principles. By linking data across scales and workflows, it supports reproducible, Artifitial
Doaa Mohamed, Samuel García Vázquez, Behnam Mardani, Victor Dudarev, Alfred Ludwig, Maribel Acosta, Markus Stricker   +6 more
wiley   +1 more source

Development of a Web-Based Intervention Course to Promote Academic Staff Well-Being: Protocol for a Mixed Methods Study Design. [PDF]

JMIR Res Protoc
Asikainen H, Lampinen V, Katajavuori N.
europepmc   +1 more source