Results 251 to 260 of about 52,512 (299)

Topography constrains the climatic response of treeline migration in Taiwan's subalpine forests

Ecography, EarlyView.
Treelines are moving upslope, but the rates and drivers differ among different regions, globally. Many studies have examined the relationship between treeline movement and climate change, particularly rising temperature, while the role of topographical factors has received much less attention, despite the longstanding recognition of its importance.
Kuan‐Yu Chen, Jonathan Peereman, J. Aaron Hogan, Teng‐Chiu Lin   +3 more
wiley   +1 more source

Faster growing and more functionally diverse: global change alters functional trait composition of mountain plant communities in the European Alps

Ecography, EarlyView.
Understanding how global change reshapes mountain plant communities is essential for predicting biodiversity and ecosystem function in a warming world. Using resurvey data from over 1400 non‐forest vegetation plots across the European Alps, we show that community‐weighted means of key functional traits capturing important dimensions of plant ecological
Sergey Rosbakh, Sabine B. Rumpf, Stefan Dullinger   +2 more
wiley   +1 more source

Machine Learning‐Assisted Design of BaTiO3‐Based Superparaelectric High‐Entropy Ceramics with Superior Energy Storage

ENERGY &ENVIRONMENTAL MATERIALS, EarlyView.
This study employed an adaptive iterative strategy combining machine learning algorithms, domain knowledge, experimental design, and experimental feedback to aim to precisely and quickly discover high‐entropy ceramics with excellent energy storage performance.
Haowen Liu, Xiaoyan Zhang, Zhiyuan Ma, Kailong Ma, Xiwei Qi   +4 more
wiley   +1 more source

Carbon‐Negative Upcycling of Sewage Sludge into Superiorly Stable Gel Via Liquid‐Phase Utilization Strategy for Water‐Remediation

ENERGY &ENVIRONMENTAL MATERIALS, EarlyView.
This work developed a low‐temperature sludge hydrothermal coupled with gel crosslinking strategy which could upgrade the waste liquid generated from sewage sludge hydrothermal treatment into the hydrothermal‐liquid‐gel. The inventive hydrothermal‐liquid‐gel exhibited the enhanced pollutant removal capability, high synthetic stability, and superior ...
Zifan Liu, Sunxinyi Wang, Lingxiao Lu, Weiguo Zhang, Qiang Zheng, Cailiang Yue, Huimin Chang, Xiaohui Lu, Ming Xu, Zhi Qian, Qing Zhou, Fuqiang Liu, Baoshan Xing   +12 more
wiley   +1 more source

Surface Consistent Seismic Hazard Assessment in the Shillong Plateau, Northeast India: A Probabilistic Approach Using Multiple Source Models and a Logic Tree Framework

Earthquake Engineering &Structural Dynamics, EarlyView.
ABSTRACT We perform probabilistic seismic hazard analysis (PSHA) in the Shillong Plateau by clubbing the up‐to‐date earthquake data and seismotectonic properties of the study area. Twenty‐one areal seismic sources are delineated based on the updated earthquake catalog, tectonic, and fault plane solutions.
Mohd Shahabuddin, William Kumar Mohanty, Eleftheria Papadimitriou   +2 more
wiley   +1 more source

A Review of Overcurrent Protection in Smart Grids Under Cyber‐Physical Threats With a Cyber‐Physical Evaluation Framework

Energy Science &Engineering, EarlyView.
By manipulating current and voltage measurements, an assailant can induce unwanted relay action while attempting to avoid detection. Detecting advanced cyber intrusions in power protection environments requires specialised data analysis and anomaly detection methods.
Feras Alasali, Anas AlMajali, Naser Naily, Hassen Loukil, Salah AbuGhalyon, William Holderbaum, Abdelaziz Salah Saidi   +6 more
wiley   +1 more source

Energy Consumption and CO2 Emissions Forecasting of Transport Sector Using Machine Learning

Energy Science &Engineering, EarlyView.
The transport sector accounts for approximately one‐quarter of Iran's final energy consumption. The energy demand in this sector has the least variation, with petroleum products accounting for more than 85% of the demand. Furthermore, the accelerated growth of energy consumption and the sector's reliance on fossil fuels, which are the main cause of ...
Amir Hossein Akbari, Seyyed Mohammad Hashemi, Meisam Farajollahi   +2 more
wiley   +1 more source

Daily Residential Natural Gas Demand Forecasting Using Machine Learning Regression: Comparative Evaluation With a Case Study in Qazvin Province, Iran

Energy Science &Engineering, EarlyView.
This graphical abstract summarizes the proposed framework for improving short‐term residential natural gas consumption forecasting by integrating a novel socioeconomic indicator, the subscription growth ratio (SGR), with conventional meteorological variables.
Ali Pirzad, Mostafa Khanzadi
wiley   +1 more source

What can the Ridge Regression Estimated Linear Probability Model tell us about ChAdOx1 nCoV-19 Vaccine Efficacy in Rhesus Macaques?

, 2020
Gana R.
europepmc   +1 more source

Intraday Functional PCA Forecasting of Cryptocurrency Returns

Journal of Forecasting, EarlyView.
ABSTRACT We study the functional PCA (FPCA) forecasting method in application to functions of intraday returns on Bitcoin. We show that improved interval forecasts of future return functions are obtained when the conditional heteroscedasticity of return functions is taken into account.
Joann Jasiak, Cheng Zhong
wiley   +1 more source