Results 131 to 140 of about 307 (171)
Environmental Control for Edible Fungi Cultivation Based on Temporal Information and Deep Learning
Food Bioengineering, EarlyView.ABSTRACT Currently, there are still prevalent issues in greenhouse environmental regulation, such as response lag, low control accuracy, and difficulty in coping with sudden environmental disturbances. To achieve high‐precision and dynamic control of the edible fungi cultivation environment, this study proposes an edible fungi environmental control ...
Xiangyan Wang +3 more
wiley +1 more source
Flexible photocatalytic materials: From substrate engineering to multi‐field synergistic enhancement
FlexMat, EarlyView.This review examines flexible photocatalytic systems, covering substrate evolution from polymers to biomass, fabrication methods like electrospinning, and key mechanical and optoelectrochemical metrics under deformation. Enhancement strategies are critically discussed, followed by applications in energy conversion, environmental remediation, and ...
Weiqi Wang +3 more
wiley +1 more source
Predicting EU Emissions Allowance Prices Using Macroeconomic Indicators and Hybrid AI Models
Journal of Forecasting, EarlyView.ABSTRACT Predicting carbon allowance prices has grown more crucial in relation to carbon market regulation, financial strategy, and environmental policy development. This study examines a hybrid forecasting system that combines deep learning with ensemble machine learning models to forecast the price fluctuations of EU Emissions Allowance (EUAs) within
Saptarshi Ganguly +2 more
wiley +1 more source
Threshold Asymmetric Conditional Autoregressive Range (TACARR) Model
Journal of Forecasting, EarlyView.ABSTRACT This paper introduces a Threshold Asymmetric Conditional Autoregressive Range (TACARR) model for analyzing the daily price ranges of financial assets. The proposed formulation assumes that the conditional expected range switches between two regimes, representing upward and downward market states, with the disturbance distribution also allowed ...
Isuru Ratnayake, V. A. Samaranayake
wiley +1 more source
Journal of Forecasting, EarlyView.ABSTRACT This paper develops Masked Asset–Regime Scenario Diffusion (MARS‐Diff), a leakage‐disciplined framework for probabilistic forecasting of multiday portfolio losses. The framework combines a regularized heterogeneous autoregressive model with exogenous predictors (HAR‐X) as its anchor, a train‐only masked representation of a high‐dimensional ...
Çağlar Sözen, Mervenur Sözen
wiley +1 more source
Shape of Yield Curves Under Instrument‐Based Parallel Shifts
Journal of Futures Markets, EarlyView.ABSTRACT This paper studies the shape of zero and par yield curves through the carry and convexity of zero‐bond and par–swap butterflies under instrument‐based parallel shifts: the component instruments are held fixed, and each instrument's own quote receives the same additive shock.
Jian Sun
wiley +1 more source
Health Care Science, EarlyView.We develop a patient flow model that integrates return loops and formulate a risk‐aware physician rostering framework designed to strictly enforce excess wait time targets, for example, tail probability of delay (TPoD) service levels. We employ a simulation‐based iterative staffing approach (ISA) to determine the optimal number of physicians required ...
Xu Dai, Peng Gao, Xiaolei Xie
wiley +1 more source
Developing a Z‐ESG Score Model for Assessing Corporate ESG Performance
International Journal of Finance &Economics, EarlyView.ABSTRACT In this study we develop a novel, unique ESG rating model that exploits the logic of the Z‐score by Altman (1968) to discriminate between ESG performing and non‐ESG performing firms using indicators of ESG performance for each of the three pillars (Environmental, Social, Governance) in place of financial ratios.
Edward I. Altman +3 more
wiley +1 more source
Land Degradation &Development, EarlyView.ABSTRACT Urban resilience and ecosystem health are essential foundations for regional sustainable development, yet their coupled and coordinated relationships remain insufficiently explored at the urban‐agglomeration scale. Taking the 13 prefecture‐level cities in the Beijing‐Tianjin‐Hebei urban agglomeration as the study area and using panel data for ...
Wang Mengyu +4 more
wiley +1 more source
Land Degradation &Development, EarlyView.ABSTRACT Land degradation threatens agricultural and forestry economies by lowering productivity, raising input costs, and increasing risk. This study examines whether Internet of Things applications moderate these losses in 1321 mainland Chinese counties from 2011 to 2024. Land degradation is measured separately through vegetation trends, modeled soil
Chengting Zheng +4 more
wiley +1 more source