ADAPTATION OF DELONE AND MCLEAN MODEL FOR ERP SYSTEM QUALITY EVALUATION by Vesna Pavković, Dražena Gašpar, Mario Jadrić

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Russian Orthodox Church and Covid-19 Pandemic: New Challenges and New Opportunities by Viktoriia Demydova

“…Till the last minute, churchmen were resisting decision of the authorities to close the churches. …”
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The Influence of Data Length on the Performance of Artificial Intelligence Models in Predicting Air Pollution by Mohamed Khalid AlOmar, Faidhalrahman Khaleel, Abdulwahab Abdulrazaaq AlSaadi, Mohammed Majeed Hameed, Mohammed Abdulhakim AlSaadi, Nadhir Al-Ansari

“…Accordingly, nine different ratios (50/50, 55/45, 60/40, 65/35, 70/30, 75/25, 80/20, 85/15, and 90/10) are employed to split the data into training and testing datasets for assessing the performance of applied models. …”
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Incentive Mechanism Design for Distributed Autonomous Organizations Based on the Mutual Insurance Scenario by Yiguang Pan, Xiaomei Deng

“…Organizational strategies, such as risk pool splits, can effectively improve the risk pool’s operating performance and establish a benign competition elimination mechanism. …”
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Improving myocardial infarction diagnosis with Siamese network-based ECG analysis. by Vaibhav Gadag, Simrat Singh, Anshul Harish Khatri, Shruti Mishra, Sandeep Kumar Satapathy, Sung-Bae Cho, Abishi Chowdhury, Amrit Pal, Sachi Nandan Mohanty

“…<h4>Methods</h4>The dataset is then imported, pre-processed, and split into a 70:20:10 ratio of training, validation, and testing. …”
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Exploring the process—structure–property relationship of nylon aramid 3D printed composites and parameter optimization using supervised machine learning techniques by Mohammed Raffic Noor Mohamed, Ganesh Babu Karuppiah, Dharani Kumar Selvan, Rajasekaran Saminathan, Shubham Sharma, Shashi Prakash Dwivedi, Sandeep Kumar, Mohamed Abbas, Dražan Kozak, Jasmina Lozanovic

“…In an 80:20 train-test split, the decision tree approach outperformed the k -nearest neighbor algorithm for all four output responses, with classification accuracy ranging from 83.33% to 100%. …”
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Delta radiomics modeling based on CTP for predicting hemorrhagic transformation after intravenous thrombolysis in acute cerebral infarction: an 8-year retrospective pilot study by Xiaxia Wu, Xiaxia Wu, Jinfang Yang, Jinfang Yang, Xianqun Ji, Yingjian Ye, Ping Song, Lina Song, Peng An, Peng An

“…Based on post-thrombolysis cranial CT or MRI results, patients were divided into the HT-ACI group (114 cases) and the non-HT-ACI group (305 cases). The dataset was split into a training set and a test set in a 7:3 ratio based on time nodes. …”
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Current Practice of Heart Donor Evaluation in Germany: Multivariable Risk Factor Analysis Confirms Practicability of Guidelines by Sylke Ruth Zeissig, Carl-Ludwig Fischer-Froehlich, Frank Polster, Nils R. Fruehauf, Guenter Kirste, Irene Schmidtmann

“…In logistic regression models 160 donor parameters were evaluated to assess their influence on using grafts for transplantation (random split of cases: 2/3 study sample, 1/3 validation sample). …”
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Development of an interpretable machine learning model based on CT radiomics for the prediction of post acute pancreatitis diabetes mellitus by Xiyao Wan, Yuan Wang, Ziyi Liu, Ziyan Liu, Shuting Zhong, Xiaohua Huang

“…Patients were classified into PPDM-A (n = 109) and non-PPDM-A groups (n = 162), and split into training (n = 189) and testing (n = 82) cohorts at a 7:3 ratio. 1223 radiomic features were extracted from CT images in the plain, arterial and venous phases, respectively. …”
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Intratumor Genetic Heterogeneity of Breast Carcinomas as Determined by Fine Needle Aspiration and TaqMan Low Density Array by Maria B. Lyng, Anne-Vibeke Lænkholm, Niels Pallisgaard, Werner Vach, Ann Knoop, Martin Bak, Henrik J. Ditzel

“…Methods: Tumors from 12 consecutive cases of early predominantly estrogen receptor positive (ER+) breast cancer patients undergoing primary surgery were split in halves and FNAs were obtained from each half. …”
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Efficient diagnosis of diabetes mellitus using an improved ensemble method by Blessing Oluwatobi Olorunfemi, Adewale Opeoluwa Ogunde, Ahmad Almogren, Abidemi Emmanuel Adeniyi, Sunday Adeola Ajagbe, Salil Bharany, Ayman Altameem, Ateeq Ur Rehman, Asif Mehmood, Habib Hamam

“…The first phase utilized J48, Classification and Regression Tree (CART), and Decision Stump (DS) to create a random forest model. …”
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Development and validation of a prognostic nomogram for predicting of patients with acute sedative-hypnotic overdose admitted to the intensive care unit by Guo Tang, Tianshan Zhang, Ping Zhang, Sha Yang, Tao Cheng, Rong Yao

“…Patients were randomly split into a training set and a validation set in a 7:3 ratio. …”
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A recurrence model for non-puerperal mastitis patients based on machine learning. by Gaosha Li, Qian Yu, Feng Dong, Zhaoxia Wu, Xijing Fan, Lingling Zhang, Ying Yu

“…Through random allocation, these individuals were split into a training cohort and a testing cohort in a 90%:10% ratio for the purpose of building the model. …”
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Modelling Rail-Based Park and Ride with Environmental Constraints in a Multimodal Transport Network by Xinyuan Chen, Inhi Kim

“…To quantitatively evaluate and analyse this joint RPR and environmental regulation strategy in multimodal transport systems, this paper develops an environmental constrained combined modal split and traffic assignment (EC-CMSTA) model. The proposed formulation adopts the concept of fix-point to reformulate the nonlinear complementarity conditions associated with the combined modal split and user equilibrium conditions, which is subsequently incorporated into a VI formulated nonlinear complementarity conditions associated with environmental constraints. …”
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Tensions within the British Conservative Party in the Context of Brexit by R. I. Blagoveshchenskii

“…And, finally, the fourth faction opposes the very idea of Brexit and backs for the second Brexit referendum. This split within the ranks of the Conservative Party, compounded by further polarization of electorate and the rise of non-system parties, poses new challenges for the Tory leaders and their decisions will influence not only domestic and foreign policies of the state, but, to a large extent, the development of international relations in Europe in general.…”
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Investigating the effects of hyperparameter sensitivity on machine learning algorithms for PV forecasting by Ehtsham Muhammad, Rotilio Marianna, Cucchiella Federica, Di Giovanni Gianni, Schettini Domenico

“…Four state-of-the-art ML models, namely Decision Trees (DT), Random Forest (RF), K-Nearest Neighbors (KNN), and Support Vector Regression (SVR) were investigated. …”
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plaTform fOr Urinary tract infection diagnostiC evAluatioN (TOUCAN): a protocol for a prospective diagnostic accuracy study of point-of-care testing in patients suspected of acute... by Thomas R Fanshawe, Philip J Turner, Gail N Hayward, Margaret Glogowska, Alastair D Hay, Michael Moore, Mark Lown, Christopher C Butler, Mandy Wootton, Mark H Wilcox, Jane Freeman, Nicola Kenealy, Valerie Tate, Owain Llion, Rebecca Lowe

“…However, current diagnostics for UTI are unfit for purpose in acute (highest prescribing) settings, being too slow to inform the required immediate decision-making and often confounded by sample contamination.Rapid point-of-care diagnostic tests (POCTs) that facilitate timely decision-making are potential solutions to this problem. …”
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Interpretable machine learning and radiomics in hip MRI diagnostics: comparing ONFH and OA predictions to experts by Tariq Alkhatatbeh, Ahmad Alkhatatbeh, Qin Guo, Jiechen Chen, Jidong Song, Xingru Qin, Wang Wei

“…This study aimed to construct and evaluate several Radiomics-based machine learning models using MRI to differentiate between those two disorders and compare their efficacies to those of medical experts.Methods140 MRI scans were retrospectively collected from the electronic medical records. They were split into training and testing sets in a 7:3 ratio. …”
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Predicting Treatment Outcomes in Patients with Low Back Pain Using Gene Signature-Based Machine Learning Models by Youzhi Lian, Yinyu Shi, Haibin Shang, Hongsheng Zhan

“…In each fold, the dataset was split into training and validation sets, with model performance assessed using multiple metrics including accuracy, precision, recall, and F1 score. …”
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Delta-radiomics analysis based on magnetic resonance imaging to identify radiation proctitis in patients with cervical cancer after radiotherapy by Jing Xue, Menghan Wu, Jing Zhang, Jiayang Yang, Guannan Lv, Baojun Qu, Yanping Zhang, Xia Yan, Xia Yan, Jianbo Song, Jianbo Song

“…Model performance was assessed using the area under the curve (AUC), DeLong test, calibration curve, and decision curve analysis (DCA), with Shapley Additive exPlanations (SHAP) values for interpretation.ResultsThe samples were split into training (70%) and validation (30%) sets. …”
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