Sustainable Development, EarlyView.ABSTRACT The increasing exposure of global supply chains to environmental, social, and operational disruptions has intensified scholarly interest in sustainability and resilience. While these concepts are widely discussed, existing research often addresses them separately, preventing understanding of their combined role in supply chain management.
Mahmut Mollaoglu, Bükra Doganer
wiley +1 more source
Prevalence Estimation Methods for Time-Dependent Antibody Kinetics of Infected and Vaccinated Individuals: A Markov Chain Approach. [PDF]
Bull Math BiolBedekar P, Luke RA, Kearsley AJ.
europepmc +1 more source
Sustainable Development, EarlyView.ABSTRACT Nitrogen (N) application creates negative externalities via nitrate (NO3−) leaching that threatens human health and the emission of nitrous oxide (N2O), a potent greenhouse gas. This study determines socially optimal nitrogen application rates (SONR) for corn and wheat by considering the social costs of both pollutants. The assessment includes
Riza Radmehr, B. Wade Brorsen
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Sustainable Production Planning: Insights Into Factors, Models, and Solution Methods
Sustainable Development, EarlyView.ABSTRACT Effective resource management remains a major challenge for organizations seeking to balance economic efficiency with environmental and social responsibility. In this context, production planning becomes a strategic mechanism for integrating sustainability into industrial operations.
Daysi Ortiz +2 more
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Identifiability and convergence behavior for Markov chain Monte Carlo using multivariate probit models. [PDF]
Commun Stat Theory MethodsZhang X.
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Strategy as a theory of change
Strategic Management Journal, EarlyView.Abstract Research Summary The theory‐based view argues that a strategist's task is to develop a theory to move the organization to an improved future state. Focusing on theorizing as a thought process of model creation, we propose a framework to specify hypothetical causal links and analyze their structure as a directed graph connecting inputs ...
Sergio G. Lazzarini +2 more
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Urban morphology and climate vulnerability assessment in Kuwait: A spatio-temporal predictive analysis utilizing deep neural network-enhanced markov chain models for 2050 and 2100. [PDF]
PLoS OneAl-Shaar W +5 more
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Smart Molecules, EarlyView.AI is transforming TPD by improving the design, prediction, and optimization of degraders such as PROTACs, molecular glues, and LYTACs. This review summarizes key AI‐driven advances, highlights applications across drug discovery stages, and discusses remaining challenges and future directions for accelerating the development of therapies against ...
Shuanglin Qin +10 more
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Rice Growth Estimation and Yield Prediction by Combining the DSSAT Model and Remote Sensing Data Using the Monte Carlo Markov Chain Technique. [PDF]
Plants (Basel)Chen Y +5 more
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Damage Investigation of the Preform Operations for the Production of Rings for Ring Rolling
steel research international, EarlyView.Void evolution during the preforming operations of two industrial ring rolling process routes is investigated by combining metallographic characterization with a two‐scale finite element simulation approach. The results reveal that, despite differing initial void conditions, the preforming operations can be designed to effectively influence void ...
Laurenz Kluge +6 more
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