Results 111 to 120 of about 49,327 (191)

Correction: Plasma apolipoprotein A-I is a causal protective factor in sepsis. [PDF]

open access: yesSci Rep
Campbell KR   +9 more
europepmc   +1 more source

Ten‐year outcomes of combined ACLR and lateral extra‐articular tenodesis: A systematic review

open access: yesKnee Surgery, Sports Traumatology, Arthroscopy, EarlyView.
Abstract Purpose This systematic review evaluates long‐term outcomes after anterior cruciate ligament reconstruction (ACLR) with lateral extra‐articular tenodesis (LET), including patient‐reported outcome measures (PROMs), failure rates, objective knee scores and radiographic osteoarthritis (OA).
Marc Daniel Bouchard   +6 more
wiley   +1 more source

Gender and Land Degradation Neutrality (LDN): Evaluating Nigeria's Legislative Framework for Achieving Gender‐Equitable LDN Outcomes

open access: yesLand Degradation &Development, EarlyView.
ABSTRACT Legislative frameworks that support gender equality are crucial for addressing structural inequalities, protecting women's rights, and achieving gender‐equitable land degradation neutrality (LDN) outcomes. This study examines the extent to which national‐level policies and legislation governing LDN and related sectors incorporate gender ...
Cynthia Nneka Olumba   +1 more
wiley   +1 more source

A Bibliometric‐Based Review of Biochar for Salt‐Affected Soil Restoration: Mapping Research Trends and Future Directions

open access: yesLand Degradation &Development, EarlyView.
ABSTRACT In recent years, biochar has been studied for its range of applications. Recognized by the IPCC as a key Carbon Dioxide Removal (CDR) strategy, it also stands out as an important tool for reclaiming degraded lands, including vast global areas affected by salinity, such as those in China, India, and Australia.
Juciane Vieira de Assis Freire   +12 more
wiley   +1 more source

Correction: Kinetic and isothermal insights on phenol removal via biochar from vicia Faba stems. [PDF]

open access: yesSci Rep
Barbari F   +9 more
europepmc   +1 more source

Structure‐Aware Machine Learning for Polymers: A Hierarchical Graph Network for Predicting Properties From Statistical Ensembles

open access: yesMacromolecular Rapid Communications, EarlyView.
This work presents a structure‐aware graph convolutional network that models polymers as statistical ensembles to predict macroscopic properties. By combining topologically realistic graphs generated via kinetic Monte Carlo simulations with explicit molar mass distributions, the framework achieves high accuracy in classifying architectures and ...
Julian Kimmig   +7 more
wiley   +1 more source

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