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Source attribution of human Campylobacter infection: a multi-country model in the European Union
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How the EU’s Eastern Enlargement Changed the German Productive Model. The Case of the Automotive industry
Published 2014-06-01“…What impact did the Eastern Enlargement of the European Union have on the productive models and labor relations in the German automotive industry? …”
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An auto-tuning process-based 3D model to forecast irrigation demand in kiwifruit
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Optimization of carbon footprint management model of electric power enterprises based on artificial intelligence.
Published 2025-01-01“…The main innovation of this study lies in: using artificial intelligence technology to build a carbon footprint calculation model, combining with the data of International Energy Agency Carbon Dioxide (IEA CO2) emission database, and using machine learning algorithm to deeply mine the important factors in carbon emission data, thus putting forward a carbon audit evaluation system of power enterprises based on DSR model. …”
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Interpreting machine learning models based on SHAP values in predicting suspended sediment concentration
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MODELLING A CONCEPTUAL FRAMEWORK OF TECHNOLOGY TRANSFER PROCESS IN CONSTRUCTION PROJECTS: AN EMPIRICAL APPROACH
Published 2017-06-01“…In Ghana’s construction sector, foreign firms provide an invaluable source of innovation and technological advancement for local contractors. However, TT models published in existing literature are rarely applicable to the construction industry in DCs. …”
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Implementation of lightweight intrusion detection model for security of smart green house and vertical farm
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TMBocelot: an omnibus statistical control model optimizing the TMB thresholds with systematic measurement errors
Published 2025-01-01“…Tumor mutation burden (TMB), defined as the number of somatic mutations of tumor DNA, is a well-recognized immunotherapy biomarker endorsed by regulatory agencies and pivotal in stratifying patients for clinical decision-making. …”
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Application of the Bayesian Model Averaging in Analyzing Freeway Traffic Incident Clearance Time for Emergency Management
Published 2021-01-01“…In addition, the BMA approach can provide better prediction performance than the Cox proportional hazards model and the accelerated failure time models. Overall, the findings in this study can be useful for traffic emergency management agency to apply an alternative methodology for predicting traffic incident clearance time when model uncertainty is considered.…”
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Designing a model for re-employment of employees during retirement (Study case: Ministry of Education)
Published 2024-09-01“…AbstractThe purpose of this research is to design a model for the re-employment of employees during retirement in the Ministry of Education. …”
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Knowledge Unlatched: A Global Library Consortium Model for Funding Open Access Scholarly Books
Published 2015-01-01“…It involved libraries, publishers, authors, readers and research funders in the process of developing and testing a global library consortium model for supporting Open Access books. The experiment established that authors, librarians, publishers and research funding agencies can work together in powerful new ways to enable open access; that doing so is cost effective; and that a global library consortium model has the potential dramatically to widen access to the knowledge and ideas contained in book-length scholarly works.…”
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Developing Roadway Safety Models for Winter Weather Conditions Using a Feature Selection Algorithm
Published 2020-01-01“…This enables our crash frequency model to better help agencies identify effective ways to improve roadway safety via winter maintenance operations. …”
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FLUed: A Novel Four-Layer Model for Simulating Epidemic Dynamics and Assessing Intervention Policies
Published 2013-01-01“…We believe that the FLUed model represents an effective tool for public health agencies responsible for initiating early responses to potential pandemics.…”
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Predicting Wet-Road Crashes Using the Finite-Mixture Zero-Truncated Negative Binomial Model
Published 2020-01-01“…The conventional crash models are not applicable to zero-truncated safety data. …”
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Integrating Model‐Informed Drug Development With AI: A Synergistic Approach to Accelerating Pharmaceutical Innovation
Published 2025-01-01“…ABSTRACT The pharmaceutical industry constantly strives to improve drug development processes to reduce costs, increase efficiencies, and enhance therapeutic outcomes for patients. Model‐Informed Drug Development (MIDD) uses mathematical models to simulate intricate processes involved in drug absorption, distribution, metabolism, and excretion, as well as pharmacokinetics and pharmacodynamics. …”
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