Results 191 to 200 of about 145,710 (264)

Rank‐based estimation of propensity score weights via subclassification

Canadian Journal of Statistics, EarlyView.
Abstract Propensity score (PS) weighting estimators are widely used for causal effect estimation and enjoy desirable theoretical properties, such as consistency and potential efficiency under correct model specification. However, their performance can degrade in practice due to sensitivity to PS model misspecification.
Linbo Wang, Yuexia Zhang, Thomas S. Richardson, Xiaohua Zhou   +3 more
wiley   +1 more source

Optimized environmental prediction in smart buildings using Dynamic Greylag Goose algorithm and deep learning. [PDF]

Sci Rep
Kenawy S, Alhussan AA, Khafaga DS, Mattar EA, Zaman S, Eid MM.   +5 more
europepmc   +1 more source

Beyond Symbolism: Examining the Impact of Sustainable Finance on Product Responsibility and the Moderating Role of Board Environmental Expertise—Evidence From UK Non‐Financial Firms

Corporate Social Responsibility and Environmental Management, EarlyView.
ABSTRACT Despite the growing emphasis on sustainable finance in today's corporate landscape, its impact on product responsibility remains underexplored, particularly the moderating role of board environmental expertise. This study addresses these gaps by examining non‐financial companies listed on the London Stock Exchange, chosen for the UK's ...
Bright Akwasi Gyamfi, Richard Arhinful, Leviticus Mensah, Hayford Asare Obeng, Simplice A. Asongu   +4 more
wiley   +1 more source

Collaborative Control for a Robot Manipulator via Interaction-Force-Based Impedance Method and Extremum Seeking Optimization. [PDF]

Sensors (Basel)
Pi M.
europepmc   +1 more source

Assessing Climate Change Disclosure and Its Governance Drivers: Insights From the European Utilities Sector

Corporate Social Responsibility and Environmental Management, EarlyView.
ABSTRACT This study aims to enhance academic understanding of the factors influencing the disclosure practices of climate change among European utility companies, specifically in the context of their sustainability reporting. The primary objective is to explore, through a multi‐theoretical framework, the governance drivers that significantly affect the
Cristina Boţa‐Avram, Adriana Tiron Tudor, Liana Stanca   +2 more
wiley   +1 more source

Stacking ensemble machine learning for predicting photodetector performance under varying illumination intensities. [PDF]

Sci Rep
Öter A, Berktaş Z, Ersöz B, Sağıroğlu Ş, Orhan E.   +4 more
europepmc   +1 more source

Designing Governance for ESG: Incentive and Oversight Complementarities in Corporate Sustainability Performance

Corporate Social Responsibility and Environmental Management, EarlyView.
ABSTRACT This study investigates how internal governance design supports credible ESG performance by distinguishing between Incentive and Oversight Architectures. Using 13,993 firm‐year observations of US nonfinancial firms from 2018 to 2024, we estimate fixed effects and two‐step system GMM models.
Beyza Gürel, Nehir Balci, Mustafa Reha Okur   +2 more
wiley   +1 more source

Prediction of Bandgap and Key Feature Analysis of Lead-Free Double Perovskite Oxides Based on Deep Learning. [PDF]

Molecules
Wang B, Wang J.
europepmc   +1 more source

Advancing mine pillar design: Evaluating traditional methods and integrating AI for enhanced stability of pillars in the Great Dyke, Zimbabwe

Deep Underground Science and Engineering, EarlyView.
B1 is bord width 1, B2 is bord width 2, L is the pillar length, W is the pillar width, red color and letter A represent the pillars, and white color and number 1 represent excavated areas. Pstress is the average pillar stress; σv is the vertical component of the virgin stress, MPa; and e is the areal extraction ratio. e = B o B o + B P ${\rm{e}}=\frac{{
Tawanda Zvarivadza, Hendrik Grobler, Peter Apata Olubambi, Moshood Onifade, Manoj Khandelwal   +4 more
wiley   +1 more source

Rapid thickness distribution prediction of superplastic formed parts based on geometry adapted PSO-BP neural network surrogate model. [PDF]

Sci Rep
Sun M, Xiong C, Zhou Y, Zhang X, Yuan A, Sun Y, Li Y.   +6 more
europepmc   +1 more source