Results 51 to 60 of about 20,943 (256)

Patterns of forest dynamics in a secondary old-growth beech-dominated forest in the Jizera Mountains Beech Forest Reserve, Czech Republic

iForest - Biogeosciences and Forestry, 2019
Restoring the structural characteristics of secondary old-growth forests that were previously managed is increasingly debated to help increase the area of more complex forests which provide a broader array of forest services and functions. The paucity of
Lábusová J, Morrissey RC, Trotsiuk V, Janda P, Bače R, Cada V, Mikoláš M, Mrhalová H, Schurman JS, Svobodová K, Mateju L, Synek M, Svoboda M   +12 more
doaj   +1 more source

Individuals with Multi‐Joint Osteoarthritis Demonstrate Larger Longitudinal Declines in Frailty: Data from the Canadian Longitudinal Study on Aging

Arthritis Care &Research, Accepted Article.
Objective Test the hypothesis that multi‐joint osteoarthritis would modify the relation between time and frailty progression, where more affected joints would lead to larger declines over 6‐years compared to those without osteoarthritis using data from the Canadian Longitudinal Study on Aging.
Carson Halliwell, Rebecca Moyer, Myles W. O'Brien   +2 more
wiley   +1 more source

Machine Learning‐Supported Analysis for Predicting and Visualizing Nonlinear Relationships Between Material Properties in Electroplated Chromium Layers

Advanced Engineering Materials, EarlyView.
This study applies machine learning regression to predict chromium layer thickness in decorative trivalent chromium electroplating, using 441 experiments from laboratory‐scale (1L) and pilot‐scale (14L) setups. Tree‐based models, particularly CatBoost, outperformed linear regression by capturing nonlinear parameter interactions (R2$R^2$ up to 0.77 ...
Christoph Baumer, Christopher Mai, Luca Eisentraut, Andreas Bund, Ricardo Buettner   +4 more
wiley   +1 more source

Intelligent Orthopedics: Machine Learning in Diagnosis of Bone Disease, Implants, and Bone Health Monitoring

Advanced Healthcare Materials, EarlyView.
Efficient recovery from traumatic or degenerative diseases is a great challenge, even after all the advancements in bone and cartilage regeneration. Machine learning (ML) algorithms have presented opportunities to enhance these aspects by accurately analyzing imaging data.
Maryam Kamaei, Hesam Mohammadi, Shamim Golafshan, Mojtaba Alehosseini, Mahsa Mohammadzadeh, Atefeh Golshirazi, Nasim Golafshan, Tatiane Eufrásio‐da‐Silva, Alireza Dolatshahi‐Pirouz, Gorka Orive   +9 more
wiley   +1 more source

Can Elastomers Combine Stiffness, Toughness and Fatigue Resistance?

Advanced Materials, EarlyView.
This review studies how the molecular and macroscopic architecture of elastomers influence their mechanical properties including: stiffness, stretchability, toughness, fatigue resistance, and damping behavior. By linking the structure to performance, it proposes design principles for advanced elastomeric systems that combine mechanical properties ...
Eva Baur, Esther Amstad
wiley   +1 more source

Assessing the vulnerability and conservation potential of old‐growth forests in British Columbia, Canada

Ecosphere
Climate change is predicted to have widespread effects on the distribution of many species and ecosystems, including old‐growth forests. Because of the slow development time of old‐growth forests, it is especially important for their management to map ...
Nick Pochailo, Leonardo Viliani, Jessica Stolar, Diana Stralberg, Scott E. Nielsen   +4 more
doaj   +1 more source

Conformable Ferrimagnetic Tattoo Electrodes for Plant Electrophysiology

Advanced Materials Technologies, EarlyView.
The newly developed ferrimagnetic tattoo electrode is capable of measuring plant electrophysiological activity outside the Faraday cage. Its ability to adhere without damaging the plant tissue allows long‐term recordings. This premise opens new avenues for in‐field monitoring of plant health through electrophysiology.
Arianna Melis, Andrea Spanu, Fabrizio Antonio Viola, Abdul Manan Dar, Alexandra Sandéhn, Cyril Routier, Annalisa Bonfiglio, Eleni Stavrinidou   +7 more
wiley   +1 more source

Intelligent Maintenance Review for Robots: Multimodal Information, Deep Diagnosis and Embodied Artificial Intelligence

Advanced Robotics Research, EarlyView.
This review maps the methods to monitor robots’ health by fusing vibration, sound, control signals, vision, force, and oil information with artificial intelligence. It identifies deep learning, transfer learning, digital twins, and physics‐informed models as key methodological pathways enabling earlier diagnosis, safer human–robot collaboration, and ...
Yuting Qiao, Hongbo Wang, Naipeng Li, Shuo Wang, Yaguo Lei, Tonghai Wu, Junyi Cao   +6 more
wiley   +1 more source

Protecting temperate old‐growth forests as biotic microrefugia amid climate change

Conservation Science and Practice
In times of climate change and biosphere degradation, leveraging the potential of forests to support carbon storage and biodiversity is crucial.
Georg J. A. Hähn, Vanessa Berger, Helge Bruelheide, Alessandro Chiarucci, Michele Di Musciano, Víctor González‐García, Borja Jiménez‐Alfaro, Michael Köhler, Tobias Kuemmerle, Juri Nascimbene, Francesco Maria Sabatini   +10 more
doaj   +1 more source

Deadwood Diversity of Boreal and Sub-boreal Old-growth Forests in Southern Finland

South-East European Forestry
In the last century, old-growth forests in boreal and sub-boreal zone have decreased, along with their contribution to biological diversity. In order to carry on management strategies aimed at maintaining deadwood diversity in old-growth forests, it is ...
Isabella De Meo, Roberta Pastorelli, Francesko Vitali, Alessandro Paletto   +3 more
doaj   +1 more source