Results 131 to 140 of about 531 (214)

Effects of testosterone and high‐dose anabolic steroids on orthodontic‐induced bone remodeling and root resorption: An animal study

Journal of Periodontology, EarlyView.
Abstract Background This study investigates the impact of disruptions in testosterone levels on bone remodeling, root resorption, and periodontal ligament (PDL) during orthodontic tooth movement (OTM) in a pubertal male rat model. Methods Testosterone deficiency was induced through orchiectomy, and the anabolic‐androgenic steroid (AAS, testosterone ...
Caio Luiz Bitencourt Reis, Kelly Galisteu‐Luiz, Gabriela Leite Pedroso, Gustavo Lopes Puls, Leticia Cassaro, Bruno Boaventura Vieira, Fábio Lourenço Romano, Erika Calvano Küchler, Christian Kirschneck, Daniela Silva Barroso de Oliveira, Maria Bernadete Sasso Stuani, Mirian Aiko Nakane Matsumoto   +11 more
wiley   +1 more source

Looking at Soil as It Is: Evolution of Microscopic Soil Characterization From Kubiëna to Artificial Intelligence

Journal of Plant Nutrition and Soil Science, EarlyView.
We provide a historic overview of microscopic soil structure characterization from its founding father, Walter Kubiëna, to several technical revolutions like automation, digitalization, and artificial intelligence. In addition to technical advancements, we explore how concepts and research questions have evolved in time.
Steffen Schlüter, Maik Geers‐Lucas, Peter Kühn, Hans‐Jörg Vogel   +3 more
wiley   +1 more source

Promises and limitations of deep learning for predicting knee osteoarthritis progression from medical imaging: A systematic review

Knee Surgery, Sports Traumatology, Arthroscopy, EarlyView.
Abstract Purpose To systematically evaluate the performance, methodological quality, and translational barriers of deep learning (DL) models for predicting knee osteoarthritis (KOA) progression from medical imaging. Methods Following PRISMA guidelines, we searched PubMed, Scopus, and Web of Science (inception to June 2026) for peer‐reviewed studies ...
Amna Gillani, Rüdiger von Eisenhart‐Rothe, Klaus Woertler, Michael T. Hirschmann, Daniel Rueckert, Florian Hinterwimmer   +5 more
wiley   +1 more source

Cropland Suitability–Use Mismatches and Differentiated Zoning Regulation in the North China Plain: Implications for Spatially Optimised and Sustainable Land Use

Land Degradation &Development, EarlyView.
ABSTRACT Cropland distribution is often shaped by historical cultivation patterns rather than natural suitability, leading to mismatches between actual land use and agricultural production potential. However, their extent and spatial characteristics remain insufficiently understood in the North China Plain, one of China's most important grain‐producing
Congjie Cao, Huafu Zhao, Ziwei Wang, Shiqiang Bai, Jiacheng Qian, Xiaoxiao Wang, Tao Wang, Huiqin Han, Zhe Feng   +8 more
wiley   +1 more source

Integrating Ecosystem Service Benefits to Assess Ecosystem Health and Its Response to Land Spatial Structure Conflicts in Anning River Basin, China

Land Degradation &Development, EarlyView.
ABSTRACT Land spatial structure conflicts (LSSC) weaken the actual benefits of ecosystem services by inducing trade‐offs among them, directly threatening regional ecosystem health (EH) and sustainable development. However, most studies have failed to incorporate ecosystem service benefits (ESB) into EH assessments and have overlooked their response to ...
Weijie Li, Jinwen Kang
wiley   +1 more source

Asymmetric Responses of Ecosystem Health to Urbanization in a Typical Karst City: Spatiotemporal Patterns and Driving Mechanisms in Guilin, China

Land Degradation &Development, EarlyView.
ABSTRACT Urban expansion can substantially reshape ecosystem structure and functioning, especially in ecologically fragile Karst landscapes. Clarifying how ecosystem health (EH) responds to urbanization and identifying the factors that drive spatial variation in EH are important for regional sustainability.
Jinlong Hu, Zhenhong Bin, Yingxue Wang
wiley   +1 more source

A Study on the Distribution Characteristics of Salinity and Nutrients and the Migration Mechanism of Soil Salt in the Delingha Saline‐Alkali Soil Profile of the Qaidam Basin

Land Degradation &Development, EarlyView.
ABSTRACT Soil salinization negatively impacts the economic development and ecological environment, particularly in the arid and semiarid regions of China. The Qaidam Basin constitutes a major distribution area of saline‐alkali land in the country. However, the distribution patterns of salinity and nutrients within soil profiles and the underlying salt ...
Hongpan Xue, Chenyu Wang, Yiyan Chen, Binkai Li, Aiyin Cheng, Hongyu Li, Bo Dong, Xiuyun Min, Haicheng Wei   +8 more
wiley   +1 more source

High‐Fat Diet Exacerbates Neuropathology in a Transgenic Mouse Model of Multiple System Atrophy

Movement Disorders, EarlyView.
Abstract Background Multiple system atrophy (MSA) is a rare and devastating neurodegenerative disorder. Accumulating clinical and preclinical evidence suggests that diabetes and insulin resistance may adversely influence MSA pathophysiology. Objective We investigated the potential association between diabetes, impaired glucose homeostasis, and MSA ...
Marie‐Laure Arotcarena, Anna Delamarre, Miguel Lopez‐Cuina, Hugo Martin, Elio Balpe, Xavier Fioramonti, Erwan Bezard, Wassilios G. Meissner   +7 more
wiley   +1 more source

On the analyzing of bifurcation properties of the one‐dimensional Mackey–Glass model by using a generalized approach

Mathematical Methods in the Applied Sciences, EarlyView.
The goal of this work is to look at how a nonlinear model describes hematopoiesis and its complexities utilizing commonly used techniques with historical and material links. Based on time delay, the Mackey–Glass model is explored in two instances. To offer a range, the relevance of the parameter impacting stability (bifurcation) is recorded.
Shuai Zhang, Yaya Wang, Hongyin Geng, Wei Gao, Esin Ilhan, Haci Mehmet Baskonus   +5 more
wiley   +1 more source

Training Deep Learning Based Dynamic MR Image Reconstruction Using Synthetic Fractals

Magnetic Resonance in Medicine, EarlyView.
ABSTRACT Purpose To investigate whether synthetically generated fractal data can be used to train deep learning (DL) models for dynamic MRI reconstruction, thereby avoiding the privacy, licensing, and availability limitations associated with cardiac MR training datasets.
Anirudh Raman, Olivier Jaubert, Mark Wrobel, Tina Yao, Ruaraidh Campbell, Rebecca R Baker, Ruta Virsinskaite, Daniel Knight, Michael Quail, Jennifer A Steeden, Vivek Muthurangu   +10 more
wiley   +1 more source