Rethinking the Causes of Corruption: Perceived Corruption, Measurement Bias, and Cultural Illusion
In: Chinese political science review, Band 1, Heft 2, S. 268-302
ISSN: 2365-4252
18 Ergebnisse
Sortierung:
In: Chinese political science review, Band 1, Heft 2, S. 268-302
ISSN: 2365-4252
SSRN
In: Children and youth services review: an international multidisciplinary review of the welfare of young people, Band 148, S. 106851
ISSN: 0190-7409
In: Child indicators research: the official journal of the International Society for Child Indicators, Band 16, Heft 4, S. 1709-1732
ISSN: 1874-8988
In: Human services organizations management, leadership & governance, Band 48, Heft 1, S. 43-57
ISSN: 2330-314X
In: Child abuse & neglect: the international journal ; official journal of the International Society for the Prevention of Child Abuse and Neglect, Band 120, S. 105177
ISSN: 1873-7757
In: STOTEN-D-21-31183
SSRN
In: Materials and design, Band 144, S. 229-244
ISSN: 1873-4197
In: HELIYON-D-23-35182
SSRN
In: The journal of psychology: interdisciplinary and applied, Band 158, Heft 5, S. 347-367
ISSN: 1940-1019
In: Ecotoxicology and environmental safety: EES ; official journal of the International Society of Ecotoxicology and Environmental safety, Band 238, S. 113586
ISSN: 1090-2414
In: Materials and design, Band 237, S. 112573
ISSN: 1873-4197
In: Waste management: international journal of integrated waste management, science and technology, Band 78, S. 789-799
ISSN: 1879-2456
In: Science and technology of nuclear installations, Band 2024, Heft 1
ISSN: 1687-6083
This study focuses on the fault identification of the pneumatic bellows valve. This valve plays an essential role in regulating system pressure to ensure the smooth progress of the tritium removal process. To conduct research on the health status of the pneumatic bellows valve and to timely identify potential faults and anomalies, we developed a dedicated experimental platform and assessed the performance of various deep learning models, including recurrent neural networks (RNNs), single‐layer long short–term memory networks (LSTMs), double‐layer LSTM, multilayer LSTM, single‐layer gated recurrent unit (GRU), and bidirectional GRU, in valve fault identification. The experimental outcomes reveal that the RNN and bidirectional GRU models exhibit superior performance in terms of accuracy and model fit, particularly in scenarios involving normal valve operations, valve leakage faults, and valve head contact faults. These findings offer new perspectives and methodologies for the detection and prevention of valve faults, contributing to the operational stability and safety of bellows valves.
In: Sage open, Band 11, Heft 4
ISSN: 2158-2440
Medical distrust is a potent barrier to participation in HIV care and medication use among African American/Black and Latino (AABL) persons living with HIV (PLWH). However, little is known about sociodemographic and risk factors associated with distrust. We recruited adult AABL PLWH from low socio-economic status backgrounds with insufficient engagement in HIV care ( N = 512). Participants completed structured assessments on three types of distrust (of health care providers, health care systems, and counter-narratives), HIV history, and mental health. We used a type of machine learning called random forest to explore predictors of trust. On average, participants were 47 years old ( SD = 11 years), diagnosed with HIV 18 years prior ( SD = 9 years), and mainly male (64%) and African American/Black (69%). Depression and age were the most important predictors of trust. Among those with elevated depressive symptoms, younger participants had less trust than older, while among those without depression, trust was greater across all ages. The present study adds nuance to the literature on medical distrust among AABL PLWH and identifies junctures where interventions to build trust are needed most.