Results 211 to 220 of about 172,159 (327)

Waiting for a Release: The Expectation in Virtual Gaming Communities

open access: yesJournal of Consumer Behaviour, EarlyView.
ABSTRACT This study examines how virtual gaming communities influence and maintain player expectations before, during, and after a game's release. A mixed‐methods study was conducted, comprising a netnography followed by an experiment. First, a netnographic study was conducted over 12 months, tracking communities to understand player behavior and ...
Lucas Lopes Ferreira de Souza   +4 more
wiley   +1 more source

Hot donors in cataclysmic variables: The case of EI Psc [PDF]

open access: green
J. Kára   +6 more
openalex   +1 more source

Defect Suppression via Tailoring Functionalized Additives for Efficient and Stable CsPbI3 Perovskite Solar Cells

open access: yesCarbon Energy, EarlyView.
This study proposed a structure‐designed benzohydrazide derivative, namely 4‐methoxybenzohydrazide (MeOBH), as an additive to regulate crystallization, passivate defects, optimize energy‐level structure, and enhance phase stability of β‐CsPbI3 perovskite films.
Haiyan Zhao   +10 more
wiley   +1 more source

Systemic PCSK9 elevation characterises autoimmune liver disease across sexes. [PDF]

open access: yesSci Rep
Mester P   +5 more
europepmc   +1 more source

Carbon‐14 Perovskite Betavoltaics Reach Record 10.79% Efficiency

open access: yesCarbon Energy, EarlyView.
A perovskite‐based betavoltaic cell incorporating carbon‐14 nanoparticles and formamidinium lead iodide achieves a record energy conversion efficiency of 10.79%. The device design enhances charge generation through an electron avalanche multiplication mechanism.
Hong Soo Kim   +6 more
wiley   +1 more source

Assessing the Psychometric Properties of the French-Canadian Version of the Psychological Safety Climate Questionnaire (PSC-12)

open access: gold
Manon Truchon   +7 more
openalex   +1 more source

Data‐Driven Design of Scalable Perovskite Film Fabrication via Machine Learning–Guided Processing

open access: yesCarbon Energy, EarlyView.
Considering complex process parameters and poor reproducibility in perovskite thin film fabrication, this study uses machine learning to analyze and predict high‐dimensional process variables. The Random Forest model, identified as the most effective, can effectively analyze and rapidly predict optimal process parameters from extensive data.
Hong Liu   +9 more
wiley   +1 more source

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