Context modulates evidence accumulation in split-second handball penalty decisions by Henrietta Weinberg, Florian Müller, Rouwen Cañal-Bruland

“…Yet, how context modulates decision-making in split-second decisions remains to be determined. …”
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The Integration of Multimodal Networks: The Generalized Modal Split and Collaborative Optimization of Transportation Hubs by Yifei Cai, Jun Chen, Da Lei, Jiang Yu

“…The lower-level problem is a generalized modal split/traffic assignment problem (GMS/TAP), which captures the mode choices of all modes in the path set. …”
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Dampak Ekonomi dan Pembangunan Infrastruktur Pascapemekaran Wilayah Kecamatan Rowokangkung Tahun 1992-2020 by Dawud Arsalam

“…A key finding is the top-down nature of the district's formation, with limited community involvement in the decision-making process. This lack of participatory governance contributed to a mismatch between policy planning and local needs, ultimately hindering economic development.The territorial splits policy tends to be top-down without involving substantial community and local government participation. …”
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Secure Two-Party Decision Tree Classification Based on Function Secret Sharing by Kun Liu, Chunming Tang

“…Homomorphic encryption allows computations on ciphertexts, enabling parties to evaluate an encrypted decision tree model jointly. FSS splits functions into secret shares to hide sensitive intermediate values. …”
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Construction and Application of Enterprise Internal Audit Data Analysis Model Based on Decision Tree Algorithm by Yuna Si

“…The number of rules generated by the CART algorithm is the least because of the model characteristics of its binary tree and the characteristics of using the Gini index as the criterion for the selection of splitting attributes. Comparing Fuzzy ID3 and Min-Ambiguity fuzzy decision tree algorithms, it is found that the overall performance of the former is better than that of the latter, and the effect of authenticity on the two algorithms is analyzed experimentally. …”
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Machine learning for predicting strength properties of waste iron slag concrete by Matiur Rahman Raju, Syed Ishtiaq Ahmad, Md Mehedi Hasan, Noor Md. Sadiqul Hasan, Md Monirul Islam, Md. Abdul Basit, Ishraq Tasnim Hossain, Saif Ahmed Santo, Md Shahrior Alam, Mahfuzur Rahman

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Explainable Artificial Intelligence (XAI) to Enhance Trust Management in Intrusion Detection Systems Using Decision Tree Model by Basim Mahbooba, Mohan Timilsina, Radhya Sahal, Martin Serrano

“…Therefore, in this paper, we have addressed XAI concept to enhance trust management by exploring the decision tree model in the area of IDS. We use simple decision tree algorithms that can be easily read and even resemble a human approach to decision-making by splitting the choice into many small subchoices for IDS. …”
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Development of clinical decision support for patients older than 65 years with fall-related TBI using artificial intelligence modeling. by Biche Osong, Eric Sribnick, Jonathan Groner, Rachel Stanley, Lauren Schulz, Bo Lu, Lawrence Cook, Henry Xiang

“…Outcomes included hospital discharge disposition re-categorized into home, care facility, or deceased. Data were split into two sets, where 80% developed a decision tree, and 20% tested predictive performance. …”
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A Single-Valued Extended Hesitant Fuzzy Score-Based Technique for Probabilistic Hesitant Fuzzy Multiple Criteria Decision-Making by Bahram Farhadinia, Atefeh Taghavi

“…Recently, in order to address the issue of difficulty in aggregating decision makers’ opinions, a probability splitting algorithm has been developed that drives an efficient probabilistic-unification process of PHFSs. …”
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The temporal structure of multiple visuomotor processes in baseball batting: insights from a virtual reality system by Naoki Saijo, Takehiro Fukuda, Makio Kashino

“…Baseball batting is an inherently complex visuomotor task that requires the rapid processing of multiple cognitive-motor computations within a split second. The key components of these computations include the sense of timing, swing decision-making, and swing adjustment. …”
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Derivation and validation of a clinical predictive model for longer duration diarrhea among pediatric patients in Kenya using machine learning algorithms by Billy Ogwel, Vincent H. Mzazi, Alex O. Awuor, Caleb Okonji, Raphael O. Anyango, Caren Oreso, John B. Ochieng, Stephen Munga, Dilruba Nasrin, Kirkby D. Tickell, Patricia B. Pavlinac, Karen L. Kotloff, Richard Omore

“…Abstract Background Despite the adverse health outcomes associated with longer duration diarrhea (LDD), there are currently no clinical decision tools for timely identification and better management of children with increased risk. …”
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Graph coarsening for fugitive interception by Irene S. van Droffelaar, Jan H. Kwakkel, Jelte P. Mense, Alexander Verbraeck

“…The number of nodes in the network, each being a crossing where routes of the fleeing suspect can split, greatly contributes to the computation time. …”
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Antibiotic Prophylaxis Prescribing Practices for Dental Implant Placement in Croatia: A Questionnaire-Based Cross-Sectional Study by Mare Ković, Ajka Pribisalić, Joško Viskić, Jure Martinić, Josipa Grubišić, Ante Vardić, Tina Poklepović Peričić

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Analysis of the Tick Rule and Bulk Volume Classification algorithms in the Brazilian stock market by Leonardo Souza Siqueira, Laíse Ferraz Correia, Hudson Fernandes Amaral

“…This study aimed to compare the performance of Tick Rule (TR) and Bulk Volume Classification (BVC) models in classifying assets traded on the Brazilian stock exchange (B3) and indicate which one performs better as an investment decision tool. The assets were split into three groups based on their volume, and actual data was used to assess the accuracy of both algorithms. …”
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Dynamics between the obstacles of business environment and firm performance in Bangladesh: Survey-based empirical insights using ML algorithms by Chandan Kumar Roy

“…Additionally, the predictive accuracy of the OLS model was compared with several machine learning algorithms, including decision tree, random forest, support vector, and gradient boosting, using a 75-25 training-testing split and k-fold cross-validation. …”
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Development and validation of an EHR-based risk prediction model for geriatric patients undergoing urgent and emergency surgery by Edward N. Yap, Jie Huang, Joshua Chiu, Robert W. Chang, Bradley Cohn, Judith C. F. Hwang, Mary Reed

“…AUCROC ranged from 0.655 (Decision Tree) – 0.804 (XGBoost) for the primary composite outcome. …”
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Integrating manual annotation with deep transfer learning and radiomics for vertebral fracture analysis by Jing Wang, Zhirui Dong, Huanxin He, Zhiyang Gao, Yukai Huang, Guangcheng Yuan, Libo Jiang, Mingdong Zhao

“…AUCs compared via Delong test, and clinical utility assessed by decision curve analysis (DCA). Results Patients were split into training (175) and test (43) sets. …”
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Construction and validation of nomograms to predict central lymph node metastasis in clinical node-negative unilateral papillary thyroid carcinoma by Longqing Hu, Bei Qian, Junlin Zhu, Shuting Gao, Li Mei, Shengnan Ruan, Xincai Qu

“…Retrospective analysis covered 1928 patients with PTC from the Wuhan Union Hospital database (2010–2020), randomly split into training and validation sets in a 7:3 ratio. …”
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ADAPTATION OF DELONE AND MCLEAN MODEL FOR ERP SYSTEM QUALITY EVALUATION by Vesna Pavković, Dražena Gašpar, Mario Jadrić

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Gothic Fault-Lines in Anne Brontë’s Social Fiction: The Case of The Tenant of Wildfell Hall (1848) by Isabelle Hervouet

“…Recent scholarship has concerned itself with this split in discourse which suggests that Brontë does not challenge the conventional idea that discursive authority is masculine, making it therefore difficult to read her novel as feminist. …”
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