In A Nutshell A large Swedish study found workers in traditional open offices face about 67 percent higher odds of being ...
Objective This study aims to explore how age and gender are associated with health deterioration related to caregiving among caregivers aged 75 and older in Spain. Design Observational, descriptive, ...
Social media is a popular recruitment tool for adolescent research as it can enable rapid, low-cost, and targeted enrolment. Australia's Online Safety Amendment Bill, which introduced a mandatory ...
Objectives To evaluate whether type 2 diabetes mellitus (T2DM) presence and severity are associated with differences in global and domain-specific cognitive function among US adults, using ...
How will the public retain confidence in a system that rests on the painstaking articulation of reasoned logic as more and ...
Objective Systemic lupus erythematosus (SLE) is associated with increased susceptibility to infections, including herpes ...
Background Cardiovascular disease (CVD) is the leading cause of mortality worldwide, while depression is highly prevalent in this patient population and has long been regarded as an independent risk ...
Aura Minerals Inc. (Nasdaq: AUGO) (B3: AURA33) ('Aura” or the 'Company”) is pleased to announce that it has signed the agreement of cooperation with DNIT (Departamento Nacional de Infraestrutura ...
Lungu, J., Tembo, F. and Chisebe, S. (2026) Harnessing Entrepreneurship to Combat Unemployment in Zambia: A Case of Matero Township. Open Access Library Journal, 13, 1-13. doi: 10.4236/oalib.1114772 .
Background/aims Posterior capsule opacification (PCO) is the most frequent long-term complication after cataract surgery, caused by proliferation of residual lens epithelial cells (LECs). Metformin, a ...
As social media becomes the core domain of information interaction in the era of big data, the emotional information contained in the vast amount of user-generated content provides an unprecedented ...
Abstract: Agricultural remote sensing community is increasingly focusing on enhancing crop mapping accuracy by improving data-driven machine-learning model structures, yet ignoring impact of ...