Results 131 to 140 of about 35,970 (253)

Does Stakeholder Pressure Promote Green Innovations and Performance of Agribusiness Companies?

open access: yesBusiness Strategy and the Environment, EarlyView.
ABSTRACT The sustainability of agribusiness companies is guided by multiple, sometimes paradoxical, interests. Green innovation is strategic for sustainable development; however, literature shows inconsistencies regarding its impact on environmental and economic‐financial performance.
Vanderlei dos Santos   +4 more
wiley   +1 more source

Impact of Intermediate Wheatgrass an Adjunct Ingredient on the Chemical Composition and Development of Aroma Compounds in Sake Brewing

open access: yesCereal Chemistry, EarlyView.
ABSTRACT Background Replacing a portion of polished rice with intermediate wheatgrass (IWG) could diversify raw materials for sake, but its effects on composition and fermentation outcomes are not well characterized. The objective of this study was to quantify how adjunct form (whole vs.
Takehiro Murai   +2 more
wiley   +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

Explainable hybrid stacking ensemble method for hard rock pillar stability prediction and engineering applications

open access: yesDeep Underground Science and Engineering, EarlyView.
This research proposes an interpretable hybrid stacking ensemble framework, optimized by the Sparrow Search Algorithm, to enhance hard rock pillar stability prediction. By integrating six machine learning models—k‐nearest neighbors, support vector machines, random forests, Gradient Boosting Decision Tree, eXtreme Gradient Boosting, and Light Gradient ...
Ning Wang   +3 more
wiley   +1 more source

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