Results 181 to 190 of about 126,718 (310)

"If You're Willing to Work…We Can Work With You": Obligatory Labor at Residential Substance Use Services Providers in North Carolina. [PDF]

open access: yesSubst Use Misuse
Carroll JJ   +6 more
europepmc   +1 more source

Quality factors affecting customer satisfaction in accommodation enterprises: A practice on Gumushane University`s students

open access: yes, 2019
Nowadays, the enterprises which try to continue their operation in the hard competitive circumstances, in the light of goal-oriented policies they developed, on the one hand they try to survive against their competitors on the other hand they are in the effort of pleasing their customers.
openaire   +2 more sources

What to Make and How to Make It: Combining Machine Learning and Statistical Learning to Design New Materials

open access: yesAdvanced Intelligent Discovery, EarlyView.
Combining machine learning and probabilistic statistical learning is a powerful way to discover and design new materials. A variety of machine learning approaches can be used to identify promising candidates for target applications, and causal inference can help identify potential ways to make them a reality.
Jonathan Y. C. Ting, Amanda S. Barnard
wiley   +1 more source

The Interoperability Challenge in DFT Workflows Across Implementations

open access: yesAdvanced Intelligent Discovery, EarlyView.
Interoperability and cross‐validation remain major challenges in the computational materials science. In this work, we introduce a common input/output standard that enables internal translation across multiple workflow managers—AiiDA, PerQueue, Pipeline Pilot, and SimStack—while producing results in a unified schema.
Simon K. Steensen   +13 more
wiley   +1 more source

The carbon footprint of tourism businesses in Pavlodar region (Kazakhstan): Baseline assessment and decarbonization hot spots. [PDF]

open access: yesPLoS One
Yessimova D   +7 more
europepmc   +1 more source

AI‐Guided Co‐Optimization of Advanced Field‐Effect Transistors: Bridging Material, Device, and Fabrication Design

open access: yesAdvanced Intelligent Discovery, EarlyView.
This article outlines how artificial intelligence could reshape the design of next‐generation transistors as traditional scaling reaches its limits. It discusses emerging roles of machine learning across materials selection, device modeling, and fabrication processes, and highlights hierarchical reinforcement learning as a promising framework for ...
Shoubhanik Nath   +4 more
wiley   +1 more source

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