Results 201 to 210 of about 22,928 (261)

Optimized Land–Water Management Expands Afforestation Potential Under Land and Human Water‐Use Constraints

Advanced Science, EarlyView.
Human water demand constrains China's feasible afforestation potential more strongly than is commonly recognized, and future climate change further intensifies this limitation. Integrating land‐use optimization with water‐saving measures substantially expands feasible afforestation area and associated carbon sinks, revealing a practical pathway to ...
Binbin Huang, Fei Lu, Yuebo Su, Xuming Wang, Hua Zheng, Zhiyun Ouyang   +5 more
wiley   +1 more source

A Hybrid Hierarchical Framework for Quantifying Mechanical Markers in Atherosclerotic Disease Progression: A New Approach for Diagnosis and Risk Assessment

Advanced Science, EarlyView.
The mechanobiological basis of atherosclerotic progression and its contribution to spatial and temporal heterogeneity remain incompletely understood. Spatially resolved AFM measurements revealed that plaque formation and distinct regions (cap fibrosis, intimal fibrosis, and lipid‐rich core) exhibit heterogeneous elastic modulus and viscoelastic ...
Yidan Zhou, Zhuo Chang, Xianjun Wu, Sijie Wang, Yuzhi Zhang, Hao Zhang, Haoyu Xu, Ruining Peng, Zhe Wang, Huiyun Xu, Yu Liu, Guangkui Xu, Nu Zhang, Hui Yang   +13 more
wiley   +1 more source

PrOMet: Accurate and Robust Metal‐Binding Site and Type Prediction

Advanced Science, EarlyView.
PrOMet is a two‐stage deep learning framework for jointly predicting metal‐binding sites and ion identities from protein structures. Surface candidate sites are first pruned, followed by refinement of the most probable sites and metal types. This hierarchical strategy enables robust and accurate metal prediction for cryo‐EM and AlphaFold‐derived ...
Gangeun Park, Chaok Seok, Hahnbeom Park
wiley   +1 more source

Computational and Data‐Driven Strategies for Lignocellulosic Biomass Valorization: From Multiscale Modeling to Digitalized Biorefinery Design

Advanced Science, EarlyView.
This Review critically connects structural recalcitrance, molecular modeling, solvent and catalyst design, pyrolysis, machine learning, reactor simulation, and FAIR digital infrastructure. Emphasis is placed on experimentally validated information transfer across scales, uncertainty and applicability domains, and the recycle, durability, techno ...
Abdullahi Bello Umar, Jiaxian Zheng, Xiangfeng Lin, Hongwu Liao, Haoqian Xu, Yufei Huang, Zaharaddeen Nasiru Garba, Adamu Uzairu, Weiwei Zhao, Zhanhui Yuan   +9 more
wiley   +1 more source

Q‐LEAP: Millisecond Hyperdimensional Optimization for Full‐Spectrum Optical Metamaterials

Advanced Science, EarlyView.
Q‐LEAP integrates physics‐informed residual machine learning with factorization‐machine‐encoded quantum annealing to design full‐spectrum optical metamaterials. It explores a 2108 design space and, in a single 2.56 ms annealing step, reaches 85.83% of the theoretical FoM limit, enabling selective 5‐8 µm emission with 3–5 and 8–14 µm suppression and ∼40×
Zikang Guo, Yunwen Wu, Yuhui Guo, Shenghong Ju   +3 more
wiley   +1 more source

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Wood decay under the microscope

Fungal Biology Reviews, 2007
Abstract Many aspects of the interactions between host wood structure and fungal activity can be revealed by high resolution light microscopy, and this technique has provided much of the information discussed here. A wide range of different types of decay can result from permutations of host species, fungal species and conditions within wood.
Francis W M R Schwarze
exaly   +4 more sources

Influence of a nitrogen supplement on the growth of wood decay fungi and decay of wood

International Biodeterioration & Biodegradation, 2005
Bioremediation processes require cheap and effective nutrient sources which contain significant amounts of nitrogen, e.g. corn steep liquor (CSL). In order to elucidate fungal copper tolerance in a nitrogen-rich environment, experiments were performed on a nutrient medium and with wood.
Miha Humar, Franc Pohleven
openaire   +1 more source

Colonization and Decay of Wood

1995
Wood is a substance of considerable anatomical and chemical complexity that can support a rich community of fungal species in a variety of microbial niches.
Neville J. Dix, John Webster
openaire   +1 more source

Enzyme Studies on the Mechanism of Wood Decay

Nature, 1947
Previous studies of the metabolic activities of a group of wood-destroying moulds (Merulius niveus, M. tremellosus, M. confluens and Fomes annosus) established the formation of ethyl alcohol, acetaldehyde, acetic and succinic acids by their action on cellulose, glucose and/or xylose1.
F F, NORD, J C, VITUCCI
openaire   +2 more sources

Fungal biomass in decayed wood

Mycologia, 1995
Fungal biomass in decayed wood was mea- sured using glucosamine as an indicator. Apparent mass loss and glucosamine content of wood blocks decayed by Trametes versicolor, Oligoporus placentus, Bjerkandera adusta, Gloeophyllum trabeum, and Phialo- cephala dimorphospora were measured at selected in- tervals. After 12 weeks of decay by T.
Heather L. Jones, James J. Worrall
openaire   +1 more source