Results 201 to 210 of about 96,366 (253)

Back to Nature or Technology to the Rescue? Climate Managers' Preferences for Investment in Carbon Dioxide Removal

Business Strategy and the Environment, EarlyView.
ABSTRACT Firms are increasingly looking into carbon dioxide removal (CDR), a set of options to take past emissions of greenhouse gases out of the atmosphere. Often two basic categories of CDR are distinguished: nature‐based solutions, such as planting trees or restoring wetlands, and technology‐based solutions, such as various forms of carbon capture ...
Sabrina Mili, Robert Mai, Rolf Wüstenhagen, Moritz Loock   +3 more
wiley   +1 more source

Psychiatric diagnosis and perceived health impact attributed to adverse childhood experiences: multidimensional impulsivity pathways in Saudi adults. [PDF]

Front Psychiatry
Alghamdi SA.
europepmc   +1 more source

Can Carbon Strategy Enhance Corporate Productivity? Evidence From Carbon Risk and Opportunity Management

Business Strategy and the Environment, EarlyView.
ABSTRACT Whether corporate carbon management can enhance productive efficiency is central to firms' long‐term competitiveness and determines whether carbon reduction efforts can be sustained beyond regulatory compliance. This study examines how corporate carbon risk and opportunity management affects firm productivity (measured by total factor ...
Nan Huang, Hanlu Fan, Ruoxin Zhu
wiley   +1 more source

Eating attitudes across body mass index categories in Saudi Arabia: a cross-sectional study. [PDF]

Front Nutr
Alzahrani H, Naseeb M, Zagzoog AM, Malaikah S, Alsulami S, Albajri E.   +5 more
europepmc   +1 more source

What Constitutes an Attractive Product‐as‐a‐Service Offer? Examining Consumer Preferences for (Circular) Business Patterns

Business Strategy and the Environment, EarlyView.
ABSTRACT Little is known about consumer preferences for combinations of circular business model patterns, despite their potential to benefit the design of product services. This study examines consumer preferences for product‐as‐a‐service offers, combined with circular product attributes, across Sweden and the Netherlands.
Steven Sarasini, Aemiro Melkamu Daniel, Katherine Whalen, Nancy Bocken, Agnieszka Hunka, Tarlan Ahmadov   +5 more
wiley   +1 more source

Firms' Green Responses to Environmental Regulations: A Three‐Dimensional Concurrent Engineering Perspective

Business Strategy and the Environment, EarlyView.
ABSTRACT This study investigates companies' responses to energy efficiency policies, focusing on mandatory and voluntary regulations that create a complex landscape for businesses to navigate. Using a sample of 1473 firms across 29 European countries (2002–2018), we explore the impact of legislation on green redesign—operationalized through ...
Thomas Alexopoulos, Dimitra Kalaitzi, Giorgos Papagiannakis, Konstantina Spanaki   +3 more
wiley   +1 more source

A global twitter sentiment analysis model for COVID-vaccination. [PDF]

Sci Rep
Chakrabarty D, Chatterjee S, Mukhopadhyay A.   +2 more
europepmc   +1 more source

Innovative methodology for flexible monitoring of various bioprocesses by using pre‐existing Raman data coupled with automated transfer learning technique

Biotechnology Progress, EarlyView.
The application of the transfer learning algorithm successfully allowed the use of a model built on process A for real‐time monitoring of process B. This study shows the improvement obtained with this methodology compared to the direct application of the model.
Adèle Schini, Hadi El Radi, Johan Cailletaud, Célia Sanchez, Nathan Gay, Bruno Ebel, Emmanuel Guedon, Laurent Jourdainne   +7 more
wiley   +1 more source

The Epidemiologic Comparison of Two Correlated Relative Risks: A Simple but Efficient Clinical Trial Design for Assessing Risk-Reduction and Treatment Significance. [PDF]

Medicina (Kaunas)
Efird JT, Dupuis GN, Choi YM, Wu H.
europepmc   +1 more source

Implementation of Machine Learning Models to Predict Functionality of Pea Flour From Its Composition

Cereal Chemistry, EarlyView.
ABSTRACT Background and Objectives The goal of this research was to examine the relationship between the composition and functionality of pea flour using the following machine learning algorithms: linear regression, partial least squares regression (PLSR), Gaussian process regression (GPR), support vector regression, gradient‐boosted decision trees ...
Colten N. Nickerson, Sarah Hogarth, Andrea K. Stone, Gene C. Arganosa, Pankaj Bhowmik, Tom D. Warkentin, Jordan Ubbens, Michael T. Nickerson   +7 more
wiley   +1 more source