Modeling the effects of drive error and impairment on crash injury severity by Mohammad Razaur Rahman Shaon, Xiao Qin, Eric Jackson

Subjects: “…compounding effect…”
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Contemporary trends in scientific research and their influence on the categorical apparatus of jurisprudence by N. A. Bobrova

“…Since the degree of practical implementation of scientific and legal research into legislative and law enforcement practice is too low, a more effective mechanism for analyzing and implementing specific proposals from legal scientists is needed.…”
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A Comparative Analysis of Machine Learning Models in News Categorization by Mohammad Hossein Zolfagharnasab, Siavash Damari

“…This performance exemplifies the robust effectiveness of classical ML models in the categorization of news, particularly when enhanced by a suitably tailored preprocessing pipeline. …”
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Prediction for Various Drought Classes Using Spatiotemporal Categorical Sequences by Rizwan Niaz, Mohammed M. A. Almazah, Xiang Zhang, Ijaz Hussain, Muhammad Faisal

“…Moreover, it is found that MBCSTCS provides expeditious information for the long-term spatiotemporal categorical sequences. These findings may be helpful to make plans for early warning systems, water resource management, and drought mitigation policies to decrease the severe effects of drought.…”
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THE CONCEPT OF «NATIONAL SECURITY» WITHIN THE CATEGORICAL FRAMEWORK OF PUBLIC ADMINISTRATION by Liliia Muntian

“…The article examines the concept of «national security» within the categorical framework of public administration, highlighting the absence of a universally accepted definition of «national security» and its role in public administration. …”
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Policy Spotlight Effects on Critical Time-Sensitive Diseases: Nationwide Retrospective Cohort Study on Taiwan’s Hospital Emergency Capability Categorization Policy by Chih-Yuan Lin, Chih-Ching Liu, Yu-Tung Huang, Yue-Chune Lee

“… BackgroundTaiwan’s categorization of hospital emergency capability (CHEC) policy is designed to regionalize and dispatch critical patients. …”
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Categorization of R134a flow-induced vibration and noise in multi-conditions and effect of thermal load on the vibration in automobile air conditioning by Xin-Gang Zhu, Dong-Qing Zhu, Ming-Yu Shi, Zhi-Fu Zhou, Qin Zhao, Wen-Yu Jia, Ji-Xin Zhang, Rui Zhang

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The effects of Covid-19 related policies on neurocognitive face processing in the first four years of life by Carlijn van den Boomen, Anna C. Praat, Caroline M.M. Junge, Chantal Kemner

“…However, there were no meaningful differences between the two Covid-groups regarding face categorization, indicating that this fundamental process is resilient despite the reduced variety of input. …”
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State Youth Policy: to the Question of the Categorical Conceptual Framework of Research of the Problem by Pavel Alexandrovich Merkulov

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Conceptual and categorical apparatus of the state criminal and legal policy of countering cybercrimes by S.V. Korzun

“…Given the growing global threat of cybercrime, the most effective are criminal means of combating it, which is why the clarification of the conceptual and categorical apparatus is extremely relevant. …”
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Comparison of artificial neural network models of categorized daily electric load by Vildan Evren, İlker Ali Ozkan

“…Weather conditions are effective in short-term electrical load estimation. …”
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Research on Categorical Recognition and Optimization of Hallucination Phenomenon in Large Language Models by HE Jing, SHEN Yang, XIE Runfeng

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Identifying, categorizing and ranking performance indicators of schools using Q method by Seyed Mahmoud Jalilian, Shahnaz Naibzadeh, seyyed hasan hataminasab, seyed ali almodaresi

“…The aim of the current research is to identify, categorize, and rank school performance indicators using the Q method. …”
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Improved Feature-Selection Method Considering the Imbalance Problem in Text Categorization by Jieming Yang, Zhaoyang Qu, Zhiying Liu

“…In this paper, a new scheme was proposed, which can weaken the adverse effect caused by the imbalance factor in the corpus. …”
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Active-Darknet: An Iterative Learning Approach for Darknet Traffic Detection and Categorization by Sidra Abbas, Imen Bouazzi, Gabriel Avelino Sampedro, Shtwai Alsubai, Ahmad S. Almadhor, Abdullah Al Hejaili, Natalia Kryvinska

“…Large traffic analysis is greatly enhanced by this method, which also increases the detection process’s robustness and effectiveness.…”
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Categorizing E-cigarette-related tweets using BERT topic modeling by D. Murthy, S. Keshari, S. Arora, Q. Yang, A. Loukas, S.J. Schwartz, M.B. Harrell, E.T. Hébert, A.V. Wilkinson

“…This data reduction approach can be applied to various social media platforms to describe and categorize e-cigarette posts and thereby triangulate and validate findings. …”
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Sample size calculation in clinical trial using R by Suyeon Park, Yeong-Haw Kim, Hae In Bang, Youngho Park

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Spatiotemporal Synergistic Effect and Categorized Management Policy of CO₂ and Air Pollutant Reduction and Economic Growth Under China’s Interregional Trade by Luzhen Bai, Long Dong, Qian Li, Zhiguang Qu, Fei Li

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Innovative epilepsy management: a combined figure of EEG categorization and medication mechanisms by Mohamed Taha, Douglas R. Nordli, Carol Park, Douglas R. Nordli

“…This approach not only improves educational outcomes but also offers potential applications in clinical practice for personalized epilepsy treatment strategies.ConclusionThis innovative figure bridges the gap between EEG categorization and treatment strategies, providing a valuable tool for improving epilepsy management education and clinical outcomes.Plain language summaryThis manuscript introduces a teaching tool that helps providers better understand how brainwave patterns (EEGs) relate to epilepsy types and guides them in choosing the most effective seizure medications.…”
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Attribute grouping-based categorical outlier detection using causal coupling weight by Yijing Song, Jianying Liu, Jifu Zhang

“…An attribute group-based outlier detection algorithm powered by causal coupling weight is proposed for categorical data. In the end, experimental results on the UCI and synthetic datasets validate that the algorithm has good outlier detection performance and effectively alleviates the effect of redundant coupling among attributes. …”
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