Results 161 to 170 of about 96,202 (258)
Deep Ordinal Regression Network for Monocular Depth Estimation. [PDF]
Fu H +4 more
europepmc +1 more source
ABSTRACT Firms increasingly rely on ESG materiality assessments to prioritise sustainability issues under heightened stakeholder scrutiny. Yet the strategic consequences of materiality beyond firm‐level disclosure remain underexplored. This study examines how materiality assessments shape ESG prioritisation at the industry level using sustainability ...
Shiqi Mai +3 more
wiley +1 more source
The Evaluation of Ordinal Regression Model's Performance Through the Implementation of Multilayer Feed-Forward Neural Network: A Case Study of Hypertension. [PDF]
Adnan MN +7 more
europepmc +1 more source
Residuals and Diagnostics for Ordinal Regression Models: A Surrogate Approach. [PDF]
Liu D, Zhang H.
europepmc +1 more source
ABSTRACT Advancing sustainable development requires organisations to align digital capabilities with social and environmental objectives, yet the mechanisms by which digital maturity and sustainability practices drive innovation remain poorly understood across organisational contexts.
Antonio Manuel Ciruela‐Lorenzo +3 more
wiley +1 more source
Ordinal regression models for zero-inflated and/or over-dispersed count data. [PDF]
Valle D, Ben Toh K, Laporta GZ, Zhao Q.
europepmc +1 more source
ABSTRACT This study examines how different scoring architectures evaluate the same ESG disclosure text and produce different ESG disclosure‐quality scores. Using sustainability‐related reports published by Korean listed firms during 2020–2021, the study compares three approaches: Human‐ESG based on a structured nine‐item disclosure‐quality rubric, Rule‐
Jaehyun Park
wiley +1 more source
Profits, Image, and Sustainability in Plastic Waste Recycling Behavior
ABSTRACT Plastic waste is an environmental and public health concern. In the agricultural sector, plastic waste handling is largely unregulated. Using survey data from horticultural firms, we investigate a previously unexplored relationship between a firm's decision to voluntarily discard recyclable plastic containers and the firm's perception about ...
Yawotse Nouve, Wojciech J. Florkowski
wiley +1 more source
Machine learning‐assisted clone selection for intensified cell culture processes
Abstract Intensified fed‐batch processes are becoming increasingly prevalent among biomanufacturers due to their superior space–time yields relative to traditional, non‐intensified fed‐batch processes. However, the shift towards intensified manufacturing has unexpectedly made optimal clone selection more challenging.
Nicolas Wolnick +6 more
wiley +1 more source
ABSTRACT Limited access to cadavers necessitates the availability of digital resources for anatomy education. Smartphone‐based photogrammetry offers a promising solution for creating three‐dimensional (3D) and augmented reality (AR) models. This study compared two mobile photogrammetry applications (Qlone and Polycam) that have been used in modern ...
Sarita Phukwantong +3 more
wiley +1 more source

