Occupational illnesses are inadequately reported for agriculture, an industry dominated by a vulnerable Hispanic population and high fatal and nonfatal injury rates. Work-related illnesses can contribute to missed work, caused by a combination of personal and work factors, with costs to the individual, employer, and society. To better understand agricultural occupational illnesses, 225 Hispanic horse workers were interviewed via community-based convenience sampling. Descriptive statistics, bivariate analyses, and log binomial regression modeling were used to: (1) describe the prevalence of missed work due to work-related illnesses among Hispanic horse workers, (2) examine work-related and personal factors associated with missed work, and (3) identify health symptoms and work-related characteristics potentially associated with missed work. Key findings reveal that having at least one child (PR = 1.71, 95% CI = 1.03, 2.84), having poor self-reported general health (PR = 0.72, 95% CI = 0.48, 1.08), experiencing stress during a typical workday (PR = 2.58, 95% CI = 1.25, 5.32), or spending less time with horses (PR = 1.87, 95% CI = 1.15, 3.05) are significant predictors of missing work. Interventions can be designed to identify workers most susceptible to missing work and provide resources to reduce absenteeism. Future research should examine work-related illness in agricultural horse production, including personal and work-related factors, in order to diminish occupational health disparities among these workers, who are more likely to be employed in hazardous agricultural work.
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http://dx.doi.org/10.13031/jash.12735 | DOI Listing |
Nanoscale
January 2025
Univ Rennes, CNRS, ISCR-UMR 6226, F-35000 Rennes, France.
Following several reports on ligand-protected atom-precise nanoclusters which encapsulate hydrides as interstitial dopants within their icosahedral core, the stability, structure and bonding of MH@Ag and MH@Au (M = Mo-Ag; W-Au) 8-electron cores is investigated through DFT calculations. The encapsulation of up to = 3 hydrides appears to be possible but at the cost of substantial structural distortions. In most of the computed models, the hydrides are found nearly free to move inside their icosahedral cages.
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January 2025
Department of Neurology, Ibn Sina Hospital, Safat, Kuwait.
Background: OnabotulinumtoxinA (BoNT-A) is approved as a prophylactic treatment of chronic migraine (CM) only. We aimed to assess the efficacy and safety of BoNT-A in the treatment of episodic migraine (EM).
Methods: This is a prospective study included migraine patients, aged 18-65 years, and completed 1 year treatment with BoNT-A.
Cureus
December 2024
Anatomy, Universiti Sains Islam Malaysia, Kuala Lumpur, MYS.
Background Dentures are one of the main treatments dentists deliver to restore the oral function and aesthetics of individuals with missing teeth. Clinical denture fabrication and manufacturing is one of the main training modules for undergraduates during dental clinical training. However, students often face problems during denture delivery due to multiple factors causing discomfort to patients, affecting the quality of the denture and the patient's adaptation period to the denture.
View Article and Find Full Text PDFMethodsX
June 2025
Department of Geophysical Engineering, Institut Teknologi Sepuluh Nopember, Indonesia.
Lithology classification is crucial for efficient and sustainable resource exploration in the oil and gas industry. Missing values in well-log data, such as Gamma Ray (GR), Neutron Porosity (NPHI), Bulk Density (RHOB), Deep Resistivity (RS), Delta Time Compressional (DTCO), Delta Time Shear (DTSM), and Resistivity Deep (RD), significantly affect machine learning classification accuracy. This study applied three algorithms, extreme gradient boosting (XGBoost), K-nearest neighbours (KNN), and the artificial neural network (ANN), to handle missing values in well-log datasets, particularly datasets with extreme missing data (30 %).
View Article and Find Full Text PDFCureus
January 2025
Orthopedic Surgery, King Abdulaziz University, Jeddah, SAU.
Introduction Osteoporosis mainly affects postmenopausal women and is characterized by decreasing bone mass and an increased risk of fracture. As populations age, it becomes more common and is frequently missed until fractures happen. Simultaneously, there is conflicting evidence about the relationship between bone health and diabetes, a chronic metabolic illness, with varying effects on the skeletal system.
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