Results 171 to 180 of about 533,803 (309)

Carbon budget accounting and carbon comprehensive management zoning: a case study in Fenhe river basin. [PDF]

Sci Rep
Yang W, Jiang X.
europepmc   +1 more source

The British forest economy and policy [PDF]

Acta Forestalia Fennica, 1954
openaire   +1 more source

Exploring Quantum Support Vector Regression for Predicting Hydrogen Storage Capacity of Nanoporous Materials

Advanced Intelligent Discovery, EarlyView.
In this study we employed support vector regressor and quantum support vector regressor to predict the hydrogen storage capacity of metal–organic frameworks using structural and physicochemical descriptors. This study presents a comparative analysis of classical support vector regression (SVR) and quantum support vector regression (QSVR) in predicting ...
Chandra Chowdhury
wiley   +1 more source

Identifying priority zones for carbon management in the Central Yunnan agglomeration. [PDF]

Sci Rep
Fu Y, Liu C, Yang X, Li Z, Zhou R, Wang T.   +5 more
europepmc   +1 more source

Decoding Tattoo and Permanent Makeup Pigments: Linking Physicochemical Properties to Absorption, Distribution, Metabolism, and Elimination Profiles Using Quantitative Structure–Activity Relationship (QSAR)‐Based New Approach Methodologies (NAMs)

Advanced Intelligent Discovery, EarlyView.
This study applies QSAR‐based new approach methodologies to 90 synthetic tattoo and permanent makeup pigments, revealing systemic links between their physicochemical properties and absorption, distribution, metabolism, and elimination profiles. The correlation‐driven analysis using SwissADME, ChemBCPP, and principal component analysis uncovers insights
Girija Bansod, Ajay Vikram Singh, Preeti Bhardwaj, Tulika Rai, Sweta Vijay Nakhale, Amruta Shelar, Rajendra Patil, Peter Laux, Andreas Luch, Christopher J. Osgood, Michael W. Stacey   +10 more
wiley   +1 more source

Machine learning analysis of carbon rebound effect dynamics and drivers in Chinese prefecture-level cities. [PDF]

Sci Rep
Li S, Li X.
europepmc   +1 more source

Artificial Intelligence for Bone: Theory, Methods, and Applications

Advanced Intelligent Discovery, EarlyView.
Advances in artificial intelligence (AI) offer the potential to improve bone research. The current review explores the contributions of AI to pathological study, biomarker discovery, drug design, and clinical diagnosis and prognosis of bone diseases. We envision that AI‐driven methodologies will enable identifying novel targets for drugs discovery. The
Dongfeng Yuan, Haicang Zhang, Liping Tong, Di Chen   +3 more
wiley   +1 more source

The decline of local wisdom in managing the Wain River protected forest near Indonesia's new capital city buffer zone. [PDF]

PLoS One
Geria IM, Handini R, Purwanti E, Juliawati NPE, Wibowo UP, Arsana IGKD, Suparta IW, Simanjuntak T, Sofian HO, Nastiti TS, Sudiartha GAW, Kurniadi AP.   +11 more
europepmc   +1 more source

REDD+ MRV implementation in Ethiopia. Review of the context, framework and progress [PDF]

, 2018
Atmadja, Stibniati Soeria, Bekele, Melaku, Boissière, Manuel, Zewdie, Solomon   +3 more
core   +1 more source

A Machine Learning Model for Interpretable PECVD Deposition Rate Prediction

Advanced Intelligent Discovery, EarlyView.
This study develops six machine learning models (k‐nearest neighbors, support vector regression, decision tree, random forest, CatBoost, and backpropagation neural network) to predict SiNx deposition rates in plasma‐enhanced chemical vapor deposition using hybrid production and simulation data.
Yuxuan Zhai, Wenrui Wang, Rui Chen, Tong Yu, Xiaojuan Zheng, Hua Shao, Dashan Shang, Ling Li, Lado Filipovic   +8 more
wiley   +1 more source