Results 171 to 180 of about 200,505 (315)

The 2026 ESSKA‐ESA formal consensus on partial‐thickness posterosuperior rotator cuff tears (Part 2): Treatment strategies, rehabilitation, return to sport and complications

open access: yesKnee Surgery, Sports Traumatology, Arthroscopy, EarlyView.
Abstract Purpose To establish evidence‐based consensus recommendations for the management of partial‐thickness posterosuperior rotator cuff tears (PT‐PS‐RCTs). This second part addresses treatment strategies, rehabilitation, return to sport and complications.
Jean Kany   +16 more
wiley   +1 more source

Beyond Chemical Compliance: A Critical Review Toward Microbiome‐Informed Ecological Exit Criteria for Bioremediated Soils

open access: yesLand Degradation &Development, EarlyView.
ABSTRACT Chemical compliance remains the usual endpoint for closing contaminated‐soil remediation projects, although it does not establish recovery of soil function or the durability of the post‐treatment state. This critical review examines when microbiological evidence can contribute to ecological closure decisions.
Mariusz Cycoń
wiley   +1 more source

The Taiwan crisis: a showcase of the global arsenic problem

open access: yes, 2010
In the 1950s, the residents of the southwestern coastal areas of Taiwan suffered greatly from Blackfoot disease (BFD) due to the consumption of arsenic-contaminated groundwater.
Liu, Chen-Wuing   +6 more
core  

Bio‐Derived Carbon Nanoparticles: A Green Amendment for Alleviating Heavy Metals in Soil–Plant Systems

open access: yesLand Degradation &Development, EarlyView.
ABSTRACT Heavy metal (HM) contamination of soil–plant systems poses persistent ecological and health risks, driving interest in nanoparticle‐based remediation. Although conventional chemically synthesized nanoparticles (CSNPs) are effective, their energy‐intensive production and residual toxicity limit sustainable deployment.
Babar Hussain   +6 more
wiley   +1 more source

Serum elemental profile‐based machine learning models for Alzheimer's disease identification and cognitive score prediction

open access: yesNeuroprotection, EarlyView.
Serum elemental profiling combined with machine learning supports exploratory Alzheimer's disease (AD) identification and cognitive score prediction. In this retrospective cross‐sectional study, 874 participants from the BANC‐PUMC, including cognitively normal controls and patients with AD, were analyzed.
Haotian Liu   +6 more
wiley   +1 more source

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