Results 121 to 130 of about 10,642 (264)
ABSTRACT Deforestation and its social impacts are an enduring challenge in agrarian frontiers, especially in the tropics. Fueled by global demand for commodities, this process is mediated by ideas, concepts, meanings, and policies that uphold socioenvironmental degradation. A key and understudied—arena in which this mediation occurs is the sub‐national
Gabriela Russo Lopes, Fabio de Castro
wiley +1 more source
ABSTRACT This research investigated the impact of grammatically gendered language in Arabic job advertisements on recruiters’ evaluation of applicants’ job fit, wage allocation, and hireability. In a between‐participants hiring‐simulation experiment, Arabic‐speaking recruiters from local companies in Egypt (N = 181) evaluated either a woman or a man ...
Farida Soliman, Sabine Sczesny
wiley +1 more source
Climate policy uncertainty and its impact on real estate market dynamics: A sectoral and regional analysis. [PDF]
Cho C, Yang J, Jang B.
europepmc +1 more source
A novel cascade nanofluid‐based PV/T–TEG hybrid system (CS4) achieves 81.1% thermal and 18.75% exergy efficiency while cutting CO₂ emissions by 7.8 tons year⁻¹. The system delivers superior energy performance, economic savings, and environmental benefits, offering a sustainable pathway for next‐generation solar energy applications.
Abdelhak Lekbir +4 more
wiley +1 more source
Machine Learning Approaches for GC–MS Data Interpretation in Flavour and Fragrance Analysis
The review explores machine learning integration in GC‐MS data analysis for the fragrance and flavour industry, highlighting recent advances and techniques in a context constrained by data scarcity and intellectual property concerns. ABSTRACT This review explores the integration of machine learning (ML) in the analysis of mass spectrometry data ...
Jean‐Baptiste Coffin +3 more
wiley +1 more source
ABSTRACT Using online job advertisement data improves the timeliness and granularity depth of analysis in the labor market in domains not covered by official data. Specifically, its variation over time may be used as an anticipator of official employment variations.
Pietro Giorgio Lovaglio +1 more
wiley +1 more source
A Deep Learning Framework for Forecasting Medium‐Term Covariance in Multiasset Portfolios
ABSTRACT Forecasting the covariance matrix of asset returns is central to portfolio construction, risk management, and asset pricing. However, most existing models struggle at medium‐term horizons, several weeks to months, where shifting market regimes and slower dynamics prevail.
Pedro Reis, Ana Paula Serra, João Gama
wiley +1 more source
Forecasting House Prices: The Role of Market Interconnectedness
ABSTRACT While the existing research uncovers interconnections between various housing markets, it largely ignores the question of whether such linkages can improve house price predictions. To address this issue, we proceed in two steps. First, we forecast disaggregated house price growth rates from Australia and China to determine whether ...
Zac Chen +3 more
wiley +1 more source
Are real estate banks more affected by real estate market dynamics?
The literature primarily focuses on the effect of changes on property prices in terms of macrovariables and monetary aggregates. Only a few studies have taken into account bank characteristics when considering the effects of real estate market trends on bank lending policies and performance, and there is no study that controls for the type of bank or ...
Gibilaro L., MATTAROCCI, GIANLUCA
openaire +2 more sources

