Results 131 to 140 of about 678 (220)

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

Prior anterior cruciate ligament reconstruction: Comparable outcomes but reduced knee flexion after robotic functionally aligned total knee arthroplasty

Knee Surgery, Sports Traumatology, Arthroscopy, EarlyView.
Abstract Purpose Total knee arthroplasty (TKA) after anterior cruciate ligament reconstruction (ACLR) is technically demanding and has been associated with higher complication rates. This study aimed to evaluate whether patients with prior ACLR undergoing image‐based robotic‐assisted TKA performed under functional alignment (FA) principles achieve ...
Christos Koutserimpas, Andrea De Fazio, Luca Andriollo, Pietro Gregori, Elvire Servien, Cécile Batailler, Sébastien Lustig   +6 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

Femoral component internal rotation in functionally aligned robotic‐assisted total knee arthroplasty does not impair functional outcomes

Knee Surgery, Sports Traumatology, Arthroscopy, EarlyView.
Abstract Purpose Femoral component internal rotation tightens the medial flexion gap and medialises femoral trochlea position, thus influencing patellofemoral tracking and function. Therefore, one of the tenets of mechanically aligned total knee arthroplasty (TKA) has been to avoid femoral component internal rotation relative to the transepicondylar ...
Andrew Philpott, Anton Lambers, Serene Lee, Dermot Collopy, Gavin Clark   +4 more
wiley   +1 more source

Analysis and source identification of dust event in Khuzestan province using MODIS and SENTINEL satellite data and HYSPLIT model (2018-2022). [PDF]

PLoS One
Yousefi Kebriya A, Nadi M, Parmehr EG, Sun Z.   +3 more
europepmc   +1 more source

Precision Restoration to Minimize Soil Loss in a Watershed in the Atlantic Forest Domain

Land Degradation &Development, EarlyView.
ABSTRACT The Turvo River Watershed, located in the Zona da Mata region of Minas Gerais and part of the Doce River Basin, faces serious problems of erosion and soil degradation, which compromise and reduce the quality of local water resources. Given this scenario, it is essential to implement environmental recovery strategies that prioritize the ...
Rodrigo Nobre Santana, Luíza Maria Affonso Lopes da Silva, Sady Júnior Martins da Costa Menezes, Getúlio Fonseca Domingues, Carlos Antônio Alvares Soares Ribeiro, Plinio Antonio Guerra Filho, Alexandre Rosa dos Santos   +6 more
wiley   +1 more source

Topoclimatic factors create favourable conditions for carbon-dense forests in the Central Himalayas. [PDF]

Sci Rep
Khanal S, Nolan RH, Medlyn BE, Boer MM.
europepmc   +1 more source

Lateral Carbon Transport Induced by Watershed Erosion: Driving Effects of Land Use, Rainfall, and Landscape Controls

Land Degradation &Development, EarlyView.
ABSTRACT Lateral carbon transport induced by soil erosion is a key component of the global carbon cycle. Over the past 50 years, ecological restoration projects in the Loess Plateau of China have increased vegetation coverage. However, the effects of land use, precipitation variability, and landscape factors on lateral carbon transport remain unclear ...
Ganggang Ke, Shengdong Cheng, Tian Wang, Zhanbin Li, Heng Wu, Xingyue Guo, Yunzhe Zhen   +6 more
wiley   +1 more source

Exploring the relationship between annual soil loss and formation rate in different land use scenarios using support vector machine (SVM) learning models in Tigray Highlands. [PDF]

Sci Rep
Haftu M, Gidey E, Mhangara P, Dikinya O.
europepmc   +1 more source

Heterogeneity and Controlling Mechanisms of Soil Organic Carbon Stocks Across Erosion Zones in China Under Future Climate Scenarios

Land Degradation &Development, EarlyView.
ABSTRACT Soil organic carbon (SOC), as a key indicator of global carbon cycling and climate change response, plays a critical role in regional ecological security and agricultural sustainability. This study employs three machine learning models including the LightGBM, XGBoost, and random forest to simulate the spatial distribution of topsoil SOC stocks
Xinxin Jin, Xintong Liu, Qianlai Zhuang, Zijiao Yang, Zicheng Wang, Chen Li, Shuai Wang, Yang Wang   +7 more
wiley   +1 more source