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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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Burn Severity in Canada's Mountain National Parks: Patterns, Drivers, and Predictions
Published 2022-06-01Get full text
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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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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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Quantitative evaluation of China’s public health emergencies response policies: a PMC index model approach
Published 2025-01-01“…In contrast, the lowest-scoring indicators were policy timeliness, issuing agency, and incentive measures. Conclusions The study demonstrates was generally good. …”
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Detecting Unauthorized Movement of Radioactive Material Packages in Transport with an Adam-Optimized BP Neural Network Model
Published 2023-01-01“…The International Atomic Energy Agency (IAEA) estimates that approximately 20 million shipments of radioactive materials occur annually. …”
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Evaluating Dispersion of Residential CO and NOx Emissions with the Help of Different Models in Körfez District, Kocaeli Province
Published 2015-07-01“…Environmental Protection Agency. These ratios were divided into residential areas and data were obtained in g/s.m2 and these data were entered to AERMOD, ISCST-3 and CALPUFF VIEW programs for the purpose of modelling. …”
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Analysis of Individuals’ Acceptance and Influencing Factors for Young Users of Autonomous Vehicles Using the Hybrid Choice Model
Published 2022-01-01“…The development and marketing of AVs by pertinent businesses and government agencies would benefit greatly from this research as a source of reference.…”
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Real time forecasting in the coastal zone: Stream power in the lower Mississippi River
Published 2025-02-01“…A promising solution to predicting coastal conditions is the development of process-based modeling approaches that represent the transition zone, operating in a forecasting mode. …”
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Exploring <i>RNF213</i> in Ischemic Stroke and Moyamoya Disease: From Cellular Models to Clinical Insights
Published 2024-12-01Get full text
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