Results 71 to 80 of about 1,431,289 (286)

Machine Learning‐Driven Design of Multicomponent Bone Inorganic Matrix Mimicking Scaffolds for Osteogenesis Enhanced by Neurogenesis

Advanced Science, EarlyView.
Schematic illustration of development of experimental datasets and algorithm models, screening and preparation of the scaffolds and their applications in vivo. ABSTRACT Bone defects require materials with osteogenic, neurogenic, and angiogenic activity, yet designing such materials within high‐dimensional compositional spaces remains challenging. Here,
Kunlu Lin, Ying Yang, Chuyao Zhou, Hanyue Mao, Zhiquan Zhang, Libangxi Liu, Xiaoying Yu, Haoming Liu, Long Liu, Xiaoyan Wang   +9 more
wiley   +1 more source

Hydrogen‐Bond Enabled Phosphite Based Intrinsic Flame‐Retardant Solid‐Solid Phase Change Materials Using Catalyst/Solvent‐Free Multi‐Component Reaction for Battery Thermal Management

Advanced Science, EarlyView.
The phosphite group endows intrinsic flame retardancy, while the P = O bond enhances intermolecular interactions to realize solid‐solid phase transition. Battery thermal management tests show the materials extend the safe working time of lithium‐ion batteries by 200%. Cone calorimeter tests indicate a 14s delay in ignition time, and reductions of 37.6%,
Changhui Liu, Guangyuan Liang, Yuanzheng Liu, Jiantang Gao, Zeyang Li, Lin Huang, Jiateng Zhao, Junbing Xiao, Xiaoxing Zhong, Jun (Joelle) Wang   +9 more
wiley   +1 more source

China's Low‐Carbon Energy Transition Over the Past Two Decades: Experiences and Implications

Advanced Science, EarlyView.
China's low‐carbon energy transition features a brief decline and subsequent rebound in coal consumption, alongside the rapid expansion of renewable energy. This study develops a stage‐based analytical framework to explain this evolution from the perspectives of economic development, energy security, and environmental sustainability, revealing how ...
Yu Liu, Zhiyu Tian, Zhengxian Zhang, Xinbei Li   +3 more
wiley   +1 more source

ACTION-COLLABORATIVE NETWORKS OF THE REGIONAL GOVERNMENT ON LAND AND FOREST FIRE RESTRAINT IN PELALAWAN DISTRICT, RIAU PROVINCE

STED Journal, 2020
The problems of forest and land fires continue to overshadow in Riau Province and Pelalawan District including the contributors of fire spots of forest and land fires.
Mustiqowati Ummul Fithriyyah, Sri Suwitri, Yopie Warella, Febri Yuliani   +3 more
doaj   +1 more source

Low Latency Global Carbon Budget Reveals Late 2024 Carbon Losses and Contrasting Early 2025 Land Sink Recovery Signals

Advanced Science, EarlyView.
Low latency carbon budget estimates for July 2024–June 2025 combine atmospheric CO2 growth rates, fossil emissions, ocean uptake, DGVM land fluxes, and OCO‐2 inversions. The budget shows that late‐2024 land carbon losses dominate the annual anomaly, while early‐2025 recovery differs between bottom‐up models and top‐down inversions, especially in ...
Piyu Ke, Philippe Ciais, Yitong Yao, Stephen Sitch, Wei Li, Xiaomeng Du, Xiaofan Gui, Ben Poulter, Thomas Colligan, Auke M. van der Woude, Joram Hooghiem, Wouter Peters, Zhu Liu, Zhu Deng, Zhe Jin, Xiangjun Tian, Yilong Wang, Junjie Liu, Sudhanshu Pandey, Chris O'Dell, Jiang Bian, John Miller, Xin Lan, Jefferson Goncalves De Souza, Michael O'Sullivan, Pierre Friedlingstein, Julien Alléon, Yi Xi, Daniel S. Goll, Lei Zhu, Guido R. van der Werf, Shilong Piao, Frédéric Chevallier   +32 more
wiley   +1 more source

Forest fire in Thailand: Spatio-temporal distribution and future risk assessment

Natural Hazards Research
Understanding the spatiotemporal distribution of forest fires and future predictions is very important for management strategies. To identify the present status of forest fires in the Kingdom of Thailand and their risk in the future, ten-year forest fire
Nazimur Rahman Talukdar, Firoz Ahmad, Laxmi Goparaju, Parthankar Choudhury, Abdul Qayum, Javed Rizvi   +5 more
doaj   +1 more source

A Physical Adaptive Material Motor Unit Neural Network: A Hygromorph Composite Material Machine

Advanced Science, EarlyView.
This study introduces a new class of material‐based intelligent machines. It presents a Physical Adaptive Material Motor Unit Neural Network, an assembly of smart 4D printed actuators and a controlling system that adapt through environmental interaction its shading behavior.
Charles de Kergariou, Helmut Hauser, David Correa   +2 more
wiley   +1 more source

Analysis of large-scale wildfires (≥500 ha) in Türkiye during the 2020 fire season

Turkish Journal of Forestry
Forest fires are one of the disasters that directly or indirectly damage forest ecosystems in Türkiye and worldwide. Large forest fires can spread across extensive areas under extreme weather conditions, resulting in significant ecological and economic ...
Ömer Küçük, Abdullah Sarı
doaj   +1 more source

Why are some forest fires more intense?

, 2014
This archived document is maintained by the Oregon State Library as part of the Oregon Documents Depository Program. It is for informational purposes and may not be suitable for legal purposes.Title from PDF caption (viewed on August 15, 2014)Part of ...

core  

Safety of Sodium‐Ion Batteries: Evaluation and Perspective from Component Materials to Cells, Modules, and Packs

Advanced Energy Materials, EarlyView.
This review provides a bottom‐up evaluation of sodium‐ion battery safety, linking material degradation mechanisms, cell engineering parameters, and module/pack assembly. It emphasizes that understanding intrinsic material stability and establishing coordinated engineering control across hierarchical levels are vital for preventing degradation coupling ...
Won‐Gwang Lim, Seoa Kim, Erik A. Wu, Darren H. S. Tan, Shawn Peng, Xiaolin Li   +5 more
wiley   +1 more source