Results 161 to 170 of about 8,650,248 (288)

ML Workflows for Screening Degradation‐Relevant Properties of Forever Chemicals

Advanced Science, EarlyView.
The environmental persistence of per‐ and polyfluoroalkyl substances (PFAS) necessitates efficient remediation strategies. This study presents physics‐informed machine learning workflows that accurately predict critical degradation properties, including bond dissociation energies and polarizability.
Pranoy Ray, Andrew R. Castillo, Manoj Kolel‐Veetil, Surya R. Kalidindi   +3 more
wiley   +1 more source

Modul de determinare a costului unitar de producţie pentru metrul cub de masă lemnoasă pe picior [PDF]

The development of any forestry activity calls the attention on the need to determine in advance productive consumption, costs evolution and to compare them with the level already established by the Forestry Administration according to which they plan ...
Albici, Mihaela, Tenovici, Cristina
core   +1 more source

Integrating Radiomics and Computational Pathology to Predict Early Recurrence of Pancreatic Ductal Adenocarcinoma and Uncover Its Biological Basis in Tumor Microenvironment

Advanced Science, EarlyView.
Accurate prediction of early recurrence in pancreatic ductal adenocarcinoma is vital for optimizing treatment. A novel, integrated radiomics‐pathology machine learning model successfully forecasts recurrence risks by analyzing preoperative CT images and computational pathology.
Sihang Cheng, Fuze Cong, Shenbo Zhang, Rui Lv, Wenjia Zhang, Xinyi Ke, Juncheng Wu, Zhonghe Zhao, Kui Zhao, Di Dong, Ruofan Zhang, Zhengyu Jin, Max Seidensticker, Zhiwei Wang, Huanwen Wu, Xianlin Han, Nan Hong, Huadan Xue   +17 more
wiley   +1 more source

Institutional and Political Factors Affecting the Development of Smallholder Forestry in Leyte Province [PDF]

, 2005
The institutional system defines the roles of public and private agencies and the property rights and responsibilities of landholders, and hence has major implications for forestry management.
Harrison, S. R.
core  

Artificial Intelligence Predictions in Huge Chemical Spaces: Chiroptical Properties of [6]‐helicene Family

Advanced Science, EarlyView.
This study shows that a local, data‐driven AI model can accurately predict diverse optical and chiroptical properties of [6]helicenes using information from close structural neighbours. Combined with genetic algorithms, it enables inverse design for tailored properties, establishing practical structure–property rules for efficient molecular discovery ...
Rafael G. Uceda, Sandra Míguez‐Lago, Carlos M. Cruz, Boris Pérez‐Cañedo, Alfonso Gijón, Luis Álvarez de Cienfuegos, Antonio J. Mota, Delia Miguel, Juan M. Cuerva   +8 more
wiley   +1 more source

Volcano‐Inspired Dual‐Carbon Network Aerogel for High‐Performance Solar Evaporation With Edge‐Directed Salt Crystallization and Recovery

Advanced Science, EarlyView.
A volcano‐inspired dual‐carbon aerogel featuring hierarchical conduits and an outer carbon‐fiber shell directs rapid water transport, confines heat, and enables directional salt migration. Radial temperature gradients in the conical structure trigger Marangoni‐driven edge‐localized salt crystallization while maintaining an unobstructed photothermal ...
Shuyue Feng, Yongpeng Wang, Mengzhu Liu, Xin Wang, Tao Jia, Haibo Zhang, Haoyue Wu, Yuan Xu, Linghui Kong   +8 more
wiley   +1 more source

Costs of Creating Carbon Offset Credits via Forestry Activities: A Meta-Regression Analysis [PDF]

The main focus of efforts to mitigate climate change is on the avoidance of fossil fuel emissions. However, the Kyoto rules permit the use of forestry activities that create carbon offset credits.
G. Cornelis van Kooten, Susanna Laaksonen-Craig, Yichuan Wang   +2 more
core  

The Synergism of β‐Cyclodextrin and Fe3+ Enabled Anti‐Swelling Ion‐Conductive Hydrogels for Multimodal Underwater Sensing Aided by Machine Learning Algorithms

Advanced Science, EarlyView.
An anti‐swelling ion‐conductive hydrogel is developed via β‐cyclodextrin and Fe3+ synergism, enabling reliable underwater motion sensing and Morse code communication. Integrated with machine learning, the system achieves 98.6% accuracy in real‐time underwater handwriting recognition for rapid information transmission.
Hao Dong, Chuanliu Liu, Yiming Luo, Dongyu Si, Menghan Zhao, Fangyu Zhao, Yixue Zhang, Wei Zeng, Eman Ramadan Elsharkawy, Terence Xiaoteng Liu, Zeinhom M. El‐Bahy, Hua Hou, Zhanhu Guo, Huige Wei   +13 more
wiley   +1 more source

Scalable, Low‐Cost, Freeze‐Resistant Hydrogels by Alkali‐Polyphenol‐Triggered Polymerization for Low‐Temperature Self‐Powered Triboelectric Sensor

Advanced Science, EarlyView.
Leveraging the multidimensional self‐catalytic merits of the alkali‐polyphenol synergistic self‐catalytic platform, this work delineates the intrinsic mechanism governing the regulation of hydrogel properties and puts forward an innovative design paradigm for frost‐tolerant electrode materials, providing critical scientific insights and technical ...
Mengting Zhou, Yaru Bao, Chunpeng Li, Caicai Li, Gaobo Lou, Shaochao Sun, Zhezhe Zhou, Gaojie Jiao, Xiaochun Zhang, Pingan Song, Dan Sun   +10 more
wiley   +1 more source

An examination of the potential applications of automatic classification techniques to Georgia management problems [PDF]

Automatic classification techniques are described in relation to future information and natural resource planning systems with emphasis on application to Georgia resource management problems.
Rado, B. Q.
core   +1 more source