In the face of the reality that unexpectedly mobilized the governments of most central European countries (including Poland), the development of renewable energy sources (RES) seems to be an important direction. Therefore, both wind parks and solar farms will be constructed at double speed for energetic independence. This urgency makes the market of producers of structures for mounting solar panels also need to adapt quickly to the new situation. New constructions adapted to quick assembly with the use of nutless screw connections seem to be one of the best solutions. These structures must not only be easy and quick to install but also durable, which makes the connections resistant to cyclical loads. The speed of assembly of the substructure can be achieved precisely with the help of nutless connections, but their durability should be carefully analyzed. This article presents parametric analyses of the numerical model of this type of connection. The selection of appropriate numerical models for simulation is of key importance in the fatigue strength analysis of bolted connections. This article investigates two different models used in numerical fatigue analyses performed in the Abaqus FEA and FE-Safe program, namely, traditional bolt with nut and innovative self-tapping nutless bolt. Extended parametric analyses of both numerical models were carried out, which ultimately allowed optimization of the fatigue capacity of the connection.
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http://dx.doi.org/10.3390/ma15196794 | DOI Listing |
Biometrics
October 2024
RAND Corporation, Pittsburgh, PA 15213, United States.
Health care decisions are increasingly informed by clinical decision support algorithms, but these algorithms may perpetuate or increase racial and ethnic disparities in access to and quality of health care. Further complicating the problem, clinical data often have missing or poor quality racial and ethnic information, which can lead to misleading assessments of algorithmic bias. We present novel statistical methods that allow for the use of probabilities of racial/ethnic group membership in assessments of algorithm performance and quantify the statistical bias that results from error in these imputed group probabilities.
View Article and Find Full Text PDFJ Rural Health
January 2025
Independent Researcher, Seattle, Washington, USA.
Purpose: Few studies have examined disparities in-and social determinants of-contraception use among rural adolescents despite evidence of higher teen birth rates and greater STI risk in rural communities. Guided by a social determinants of health (SDoH) framework, this cross-sectional study aimed to address these gaps.
Methods: Data come from the 2018 Healthy Youth Survey, including N = 3757 sexually active, rural-based adolescents.
J Rural Health
January 2025
Drug Use & Behavior Lab, Department of Health Behavior, School of Public Health, University of Alabama at Birmingham, Birmingham, USA.
Background: Recent legislative initiatives in the United States have focused on the medical and legal status of psychedelics, prompting interest in understanding public perceptions of their risks. This study investigates rural-urban differences in the perception of LSD and cannabis risks using national survey data.
Methods: Data from the National Survey of Drug Use and Health (NSDUH) between 2015 and 2021 were analyzed.
Eur J Neurol
January 2025
Department of Neurosurgery, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Background And Purpose: The aim of this study was to assess the intracerebral hemorrhage (ICH) burden in 204 countries and territories worldwide from 1990 to 2021, disaggregated by sex, age, and sociodemographic index (SDI) at the global, regional, and country levels.
Methods: Data from the 2021 Global Burden of Disease Study (GBD) were used to calculate age-standardized prevalence (ASPR), incidence (ASIR), death (ASDR), and disability-adjusted life year (DALY) rates for ICH. The estimated annual percentage change (EAPC) was used to assess time patterns.
J Health Popul Nutr
December 2024
Department of Nursing, Changde Hospital, Xiangya School of Medicine, Central South University(The first people's hospital of Changde city), Changde, Hunan Province, China.
Purpose: The association between nutritional risk status assessment and hospital mortality in older patients remains controversial. The aim of this study was to assess the relationship between nutritional risk on admission and in-hospital mortality, and explore the best Nutritional Risk Status Screening 2002 (NRS2002) threshold for predicting in-hospital mortality of older inpatients in China.
Method: The elderly inpatients were recruited from a hospital in Hunan Province, China.
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