Medical Device Failure Predictions Through AI-Driven Analysis of Multimodal Maintenance Records by Noorul Husna Abd Rahman, Khairunnisa Hasikin, Nasrul Anuar Abd Razak, Ayman Khallel Al-Ani, D. Jerline Sheebha Anni, Prabu Mohandas

“…A classification problem is addressed by classifying failure into three prediction classes: (i) class 1, unlikely to fail within the first three years, (ii) class 2, likely to fail within three years; and (iii) class 3, likely to fail after three years from the date of commissioning. …”
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Review of open libraries for pharmacoeconomic analysis in R environment by I. A. Lackman, R. I. Sladkov, V. M. Timiryanova

“…The selected libraries can be divided into three classes: packages for calculating various quality of life indices, libraries for calculating indicators and indices of economic effectiveness of medical interventions (DALY, QALY, ICER), libraries for performing sensitivity analysis of the effect of medical interventions based on decision tree algorithms and Markov models. …”
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High-resolution (10 m) dataset of multi-crop planting structure on the Loess Plateau during 2018–2022 by Xining Zhao, Jichao Wang, Yelu Ding, Xiaodong Gao, Changjian Li, Hongwei Huang, Xuerui Gao

“…The research methodology involved four key steps: (1) Enhancing the sample dataset using phenological indices and the Dynamic Time Warping (DTW) algorithm; (2) Identifying crop planting intensity based on phenological growth curves; (3) Developing independent random forest classifiers tailored to agricultural climate zones; and (4) Constructing an optimal feature subset for crop classification. …”
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Development and validation of an interpretable multi-task model to predict outcomes in patients with rhabdomyolysis: a multicenter retrospective cohort studyResearch in context by Chunli Liu, Jie Shi, Fengjuan Wang, Duo Li, Yu Luo, Bofan Yang, Yunlong Zhao, Li Zhang, Dingwei Yang, Heng Jin, Jie Song, Xiaoqin Guo, Haojun Fan, Qi Lv

“…Ten machine learning (ML) algorithms were applied to construct multi-task prediction models. …”
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Lightweight CNC digital process twin framework: IIoT integration with open62541 OPC UA protocol by Arivazhagan Anbalagan, Waqir Yusuf Zanhar, Shone George, Marcos Kauffman, Tengfei Long

“…The layers include: (i) Physical – microcontroller with sensors; (ii) Virtual – modeling and GM code generation; (iii) Data – OPC UA-based transfer; (iv) Interaction – visualization via custom nodes; and (v) Decision – rule-based logic and analytics. …”
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Development and validation of a multidimensional predictive model for 28-day mortality in ICU patients with bloodstream infections: a cohort study by Jun Jin, Jun Jin, Lei Yu, Qingshan Zhou, Qian Du, Xiangrong Nie, Hai-Yan Yin, Wan-Jie Gu

“…Through a two-step variable selection process combining LASSO regression and Boruta algorithm, we identified 12 predictive variables from 58 initial clinical parameters. …”
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Prediction of Metastasis in Paragangliomas and Pheochromocytomas Using Machine Learning Models: Explainability Challenges by Carmen García-Barceló, David Gil, David Tomás, David Bernabeu

“…The best-performing algorithm, Random Forest, achieved an accuracy of 96.3%, precision of 96.5%, and AUC of 0.963, among other metrics, combining strong predictive capability with explainability that fosters trust in clinical applications.…”
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A Capacitated Vehicle Routing Model for Distribution and Repair with a Service Center by Irma-Delia Rojas-Cuevas, Elias Olivares-Benitez, Alfredo S. Ramos, Samuel Nucamendi-Guillén

“…Additionally, a Variable Neighborhood Search (VNS) algorithm was implemented and compared with AMPL-Gurobi. …”
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Geoinformatics-based prioritisation of natural resources rich regions at disaggregated levels for sustainable management by T. V. Ramachandra, Paras Negi

“…Prioritization of NRRRs at disaggregated levels highlights that 12% of the total geographical area of the district is under NRRR 1 and NRRR 2, 54% of the total geographical area under NRRR 3, and the rest of the region under NRRR 4. The current study emphasizes the need for robust decision support systems to aid in effective policy formulation for conserving and restoring natural resources. …”
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Extracting fluorescent reporter time courses of cell lineages from high-throughput microscopy at low temporal resolution. by Mike J Downey, Danuta M Jeziorska, Sascha Ott, T Katherine Tamai, Georgy Koentges, Keith W Vance, Till Bretschneider

“…Principal component analysis is used to determine the most significant features, and a global parameter search is performed to determine the weighting of individual features. Our algorithm has been optimized to cope with large cell movements, and we were able to semi-automatically extract cell trajectories across three cell generations. …”
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Surface water quality assessment for drinking and pollution source characterization: A water quality index, GIS approach, and performance evaluation utilizing machine learning anal... by Abhijeet Das

“…Evaluating the effectiveness and dependability of classification algorithms in identifying changes in water quality is crucial since accurate information is required to improve decision-making. …”
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Segmentation of airways and soft tissues on panoramic radiographs using artificial intelligence technology by Aslıhan Şahan Keskin, İlknur Eninanç

“…This model has the potential to enhance decision support systems and reduce the risk of misdiagnosis. …”
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Analyzing Momentum Shifts in Tennis: A Machine-Learning Approach to Predicting Match Outcomes by Yuean Xia, Changfeng Li, Tanran Zhang

“…Factor analysis identified key independent variables, while a decision-tree model optimized through random-forest and genetic algorithm techniques was employed to predict match outcomes. …”
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Hardware and software complex for operational management of a flexible site of highly efficient assembly production by V. Smolij, N. Smolij, M. Shvydenko, S. Voloshyn

“…The created hardware and software complex, based on a script written in the Python3 language, combined the functionality necessary for the flexible production modules transport service algorithm study, the analysis of the network model for flexible automated production site functioning equipment, and organisation of flexible automated production site operational management subsystems. …”
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Isolated Syndesmotic Fixation is Associated with Increased Risk of Arthrodesis and Arthroplasty Operations Compared to Nonoperatively Managed Syndesmotic Injury: A Propensity-Score... by Sean Sequeira MD, Heath P. Gould MD, Walter C. Hembree MD

“…Patients who underwent surgical stabilization were matched using a propensity scoring algorithm to patients who were managed nonoperatively. …”
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Development and validation of a cardiac surgery-associated acute kidney injury prediction model using the MIMIC-IV database. by Yang Xu, Chunxiao Song, Wenping Wei, Runfeng Miao

“…Using logistic regression, LASSO regression, and random forest (RF) algorithms, we constructed nine prediction models, evaluating their performance via AUROC, sensitivity, specificity, Youden's index, decision curve analysis (DCA), and calibration curves.…”
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Optimization of a hierarchical hub and satellite network for urban freight on transit by Meijing Zhang, Lynette Cheah

“…This study explores integrating passenger and freight transport by using public transport—the urban rail network—for parcel deliveries. We propose a three-echelon transit-based freight transport system. …”
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Production Planning of a Failure-Prone Manufacturing System under Different Setup Scenarios by Guy-Richard Kibouka, Donatien Nganga-Kouya, Jean-Pierre Kenne, Victor Songmene, Vladimir Polotski

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Machine learning-enabled prediction of bone metastasis in esophageal cancer by Liqiang Liu, Wanshi Duan, Tao She, Shouzheng Ma, Haihui Wang, Jiakuan Chen

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Comparative Characteristics of the Results of Evacuation to Healthcare Facilities and Treatment Outcomes of Children Who Applied for First Aid With Acute Abdominal Pains. The Case... by Ekaterina А. Romanova, Leyla S. Namazova-Baranova, Elena Yu. Dyakonova, Aleksey Yu. Romanov, Kazbek S. Mezhidov, Zharadat I. Dohshukaeva

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