Results 131 to 140 of about 701 (215)

Predicting coastal erosion susceptibility in Bangladesh under climate scenario via machine learning techniques. [PDF]

PLoS One
Hosan S, Pranta SD, Tahmid T, Haydar M, Rafi AH.   +4 more
europepmc   +1 more source

Preoperative varus ≥10° does not compromise outcome after medial unicompartmental knee arthroplasty, whereas postoperative joint‐line convergence angle and insert thickness influence functional results: A matched‐pair analysis

Knee Surgery, Sports Traumatology, Arthroscopy, EarlyView.
Abstract Purpose To evaluate functional outcomes and implant survival following medial unicompartmental knee arthroplasty (UKA) in patients with anteromedial osteoarthritis and preoperative varus deformity ≥10° and to identify postoperative alignment thresholds that optimize outcomes.
Johannes Weishorn, Stella Bonnmann, Raphael Trefzer, Mustafa Hariri, Paul Mick, André Lunz, Tilman Walker, Kevin‐Arno Koch   +7 more
wiley   +1 more source

Modeling runoff, sediment yield and conservation measures using SWAT in Ajima catchment, Upper Blue Nile Basin, Ethiopia. [PDF]

Sci Rep
Hatiye SD, Tilahun TK, Edamo ML.
europepmc   +1 more source

Artificial intelligence across the continuum of care for the aging musculoskeletal patient: From longitudinal phenotyping to personalized surgery and recovery monitoring

Knee Surgery, Sports Traumatology, Arthroscopy, EarlyView.
Abstract Musculoskeletal care is being reshaped by population aging, multimorbidity, frailty, osteoporosis, sarcopenia, polypharmacy and increasing vulnerability to postoperative loss of independence. Artificial intelligence (AI) has entered orthopaedic research, but its clinical translation remains constrained. Many models address isolated diagnostic,
Felix C. Oettl, Balint Zsidai, James A. Pruneski, Jacob F. Oeding, Umile Giuseppe Longo, Michael T. Hirschmann, Ro Du Hyun, Kristian Samuelsson, ESSKA Artificial Intelligence Committee   +8 more
wiley   +1 more source

Season, wind speed, and seasonal rain are major drivers of a regional aeolian sediment transport model. [PDF]

PLoS One
Kulmatiski A, Ozturk M, Bladen KK, Brahney J, Duniway MC.   +4 more
europepmc   +1 more source

Future Soil Erosion Under Combined CMIP6 Climate Projections and Land Use/Land Cover Change: A RUSLE‐Based Assessment of the Kampe Omi Dam Basin in Nigeria

Land Degradation &Development, EarlyView.
ABSTRACT Soil erosion remains a major environmental challenge in Nigeria, driven by the combined effects of climate variability and land use/land cover (LULC) changes. Understanding future dynamics is essential for effective soil conservation planning.
Titus Adeyemi Alonge, Amos T. Kabo‐Bah, Lily Lisa Yevugah, Abdul‐Karim Iddrisu   +3 more
wiley   +1 more source

Spatiotemporal changes and degradation early-warning of key ecosystem services in China from 2015 to 2020. [PDF]

Sci Rep
Dong S, Hu H, Jia G, Cai T.
europepmc   +1 more source

Differences in Dust Emission and Near‐Surface Transport Patterns Among Three Surface Substrate Types

Land Degradation &Development, EarlyView.
ABSTRACT Soil wind erosion is a major driver of atmospheric dust emissions and land degradation. Many studies have examined dust release from different substrates, but differences in methods and units still limit quantitative understanding of how surface conditions and wind jointly control dust emission and near‐surface transport. A closed‐circuit wind
Ruochen Jia, Chaoqun Ba, Jinlei Zhu, Wennong Kuang, Lu Zong, Fang Liu, Yuting Liu, Minghu Liu, Zhiming Xin, Zhimin Liu   +9 more
wiley   +1 more source

Quantitative evaluation of soil anti-erodibility in the fluctuation zones of rooted soil in a large reservoir, southwest of China. [PDF]

PLoS One
Wang P, Niu X, Xiao H, Tao G, Song Z.
europepmc   +1 more source

Eroding Confidence in Gully Location Risk Prediction in Mine Pit Rehabilitation

Land Degradation &Development, EarlyView.
ABSTRACT Understanding how rehabilitation measures, such as landform shaping, and surface finishes impact gully erosion risk could assist in designing less erosive rehabilitation. In this study we use high resolution digital elevation models of rehabilitated mine pits to explore risk factors for gully formation.
Eve McCallum, Cameron Blackburn, Monte Masarei, Andrew Guzzomi, Sally Thompson   +4 more
wiley   +1 more source