Results 101 to 110 of about 46,650 (291)
Assessing Agricultural Green Total Factor Productivity in Latin America
ABSTRACT The agricultural sector in Latin America plays a vital role in ensuring food security while impacting the environment. However, there remains a lack of analysis regarding the inputs responsible for pollution within its sub‐technologies. Hence, this article aims to assess agricultural green total factor productivity (TFP) through a novel ...
Tianxiang Li +2 more
wiley +1 more source
In a single‐center cohort of 577 adult LDLT recipients who underwent simultaneous splenectomy, clinically significant SFSS grade B/C (ILTS‐iLDLT‐LTSI 2023) occurred in 18.2% and was associated with inferior graft survival. Multivariate analysis identified MELD ≥ 30, NLR ≥ 4.5, and donor age ≥ 50 years as independent risk factors, which risk rising ...
Kyohei Yugawa +6 more
wiley +1 more source
Information Dense and Industry Scalable Accelerated Formation
Pulsed formation can reduce lithium‐ion battery formation time by over 50% while maintaining or enhancing performance. Validated on 25 Ah prismatic cells, this industry‐scalable method yields thinner, more homogeneous solid electrolyte interphases (SEIs).
Leon Merker +3 more
wiley +1 more source
OBJECTIVE: To estimate the incidence and describe the profile of catastrophic expenditures and impoverishment due to household out-of-pocket payments, comparing the periods before and after the introduction of universal health care coverage (UC). METHODS:
Supon Limwattananon +2 more
doaj +1 more source
Combining machine learning and probabilistic statistical learning is a powerful way to discover and design new materials. A variety of machine learning approaches can be used to identify promising candidates for target applications, and causal inference can help identify potential ways to make them a reality.
Jonathan Y. C. Ting, Amanda S. Barnard
wiley +1 more source
Catastrophic expenditure for health care in Myanmar
Protecting households from the catastrophic health care expenditure is important for every health system because it can prevent some people from seeking care and result in impoverishment. Therefore, this cross-sectional study was done in 2014 to determine the magnitude of the catastrophic health care expenditure and its relationship with income ...
Oo, Win Myint +6 more
openaire +1 more source
This study integrates random matrix theory (RMT) and principal component analysis (PCA) to improve the identification of correlated regions in HIV protein sequences for vaccine design. PCA validation enhances the reliability of RMT‐derived correlations, particularly in small‐sample, high‐dimensional datasets, enabling more accurate detection of ...
Mariyam Siddiqah +3 more
wiley +1 more source
Objective (s): health transformational plan was executed as one the most important plans by the ministry of health and medical education in order to reduce admission fees. In order to evaluate the effectiveness of this plan, this study was conducted with
Mohammad Khammarnia +10 more
doaj
Measuring financial protection in health [PDF]
Health systems are not just about improving health: good ones also ensure that people are protected from the financial consequences of receiving medical care. Anecdotal evidence suggests health systems often perform badly in this respect, apparently with
Wagstaff, Adam
core
Determinants of Household Catastrophic Health Expenditure: A Systematic Review
The World Health Organization estimates that annually 150 million people experience severe (catastrophic) financial difficulties as a result of healthcare payments. Therefore, a systematic review was carried out to identify the determinants of household catastrophic health expenditure (CHE) in low-to high-income countries around the world.
Azzani, Meram +2 more
openaire +2 more sources

