Results 241 to 250 of about 1,532,638 (307)

Environment Friendly Sustainable End‐Of‐Life Solutions for Plastic Components in Indian Automotive Industries

open access: yesCorporate Social Responsibility and Environmental Management, EarlyView.
ABSTRACT Growing concerns about the environmental and social consequences of plastics around the world, manufacturing industries are associated with business are focusing on sustainable end‐of‐life options‐based solutions which aim at increasing the product life cycle.
Sivakumar Kirupanandan   +3 more
wiley   +1 more source

When Aviation CSR Efforts Are Not Enough: How Do We Inspire Airline Passengers to Offset Their Travel Footprints?

open access: yesCorporate Social Responsibility and Environmental Management, EarlyView.
ABSTRACT Voluntary carbon offsetting programs (VCOPs) are available for airline passengers who want to take action and offset their scope 3 emissions. Yet, their uptake is very limited. In this study, we propose an integrated theoretical model involving the norm activation theory and protection motivation theory to understand airline passengers ...
Eric Tchouamou Njoya   +4 more
wiley   +1 more source

Previous prescribed burns saved thousands of ancient sequoias during historically unprecedented wildfires. [PDF]

open access: yesNat Commun
Dixon DJ   +7 more
europepmc   +1 more source

Uniaxial compressive strength prediction and ratio parameter optimization of titanium tailings composite backfill materials using intelligent hybrid models

open access: yesDeep Underground Science and Engineering, EarlyView.
Based on the 90 datasets, ERT and four optimization algorithms were used to build four hybrid models to predict the UCS of the backfill body. The SMA‐ERT model was the most effective model, and it can reliably guide the design of the backfill ratio parameters. Abstract This study analyzed the feasibility of using titanium (Ti) tailings as a backfilling
Weijun Liu, Zida Liu, Zhixiang Liu
wiley   +1 more source

Probabilistic prediction of rate‐dependent rock strength using natural gradient boosting and Gaussian process regression

open access: yesDeep Underground Science and Engineering, EarlyView.
Probabilistic natural gradient boosting and Gaussian process regression models accurately predict rate‐dependent rock strength across lithologies. Static strength and strain rate dominate, while geometric factors have minimal influence, enabling interpretable and uncertainty‐aware predictions for dynamic geomechanical applications. Abstract The dynamic
Hadi Fathipour‐Azar
wiley   +1 more source

Dynamic prediction of coal and gas outburst risk based on quantitative analysis of stress–energy evolution and adaptive correction

open access: yesDeep Underground Science and Engineering, EarlyView.
This study quantitatively analyzed the spatiotemporal evolution of stress redistribution ahead of the working face by integrating coal seam distribution, tectonic stress anomalies, gas pressure, and mining‐induced disturbances. An R‐value criterion for coal and gas outburst (CGO) risk assessment was established based on energy principles.
Yingjie Zhao   +7 more
wiley   +1 more source

The Old Lady spider cave skeletons in Ladakh have diverse maternal genetic origin. [PDF]

open access: yesiScience
Kumar L   +8 more
europepmc   +1 more source

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