Delivering data: A real-world dataset for last-mile delivery optimizationZenodo by Anna Vrani, Savvas D. Apostolidis, Athanasios Ch. Kapoutsis, Elias B. Kosmatopoulos

“…It also supports statistical analysis and simulation, allowing researchers to assess travel time variability and model uncertainty in routing decisions through Monte Carlo simulations.Overall, this dataset offers valuable insights for optimizing delivery operations and addressing real-world logistics challenges. …”
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Robust confinement state classification with uncertainty quantification through ensembled data-driven methods by Yoeri Poels, Cristina Venturini, Alessandro Pau, Olivier Sauter, Vlado Menkovski, the TCV Team, the WPTE Team

“…We propose ensembling data-driven methods on two axes: model formulations and feature sets. …”
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Predictive maintenance in naval vessel propulsion systems for enhanced marine operations using a BiGMM-HMM framework with divergence-based clustering by Farshid Javadnejad, Hyoshin John Park, Samuel Kovacic, Andres Sousa-Poza

“…Abstract This study introduces a BiGMM-HMM Integration Framework designed to improve predictive maintenance strategies for naval vessel propulsion systems, addressing the need for efficient and reliable operation in marine engineering applications. The framework effectively manages multimodal sensor data by leveraging a unique combination of Gaussian Mixture Models (GMMs) and Hidden Markov Models (HMMs) in a bidirectional architecture. …”
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Phyllodes tumors of the breast: Real world data from a multi-institution cohort by Carl Sars, Jan Frisell, Paul W. Dickman, Felix Haglund de Flon, Fredrik Karlsson, Helena Sackey, Ebba K. Lindqvist

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Predictive analytics technique based on hybrid sampling to manage unbalanced data in smart cities by Ayushi Chahal, Preeti Gulia, Nasib Singh Gill, Mohammad Yahya, Mohd Anul Haq, Mohammed Aleisa, Abdullah Alenizi, Arfat Ahmad Khan, Piyush Kumar Shukla

“…This paper proposes a novel predictive analytical technique to manage unbalanced data. A pipeline is designed using Principal Component Analysis (PCA), a hybrid sampling method, and a Machine Learning (ML) prediction method. …”
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An intelligent algorithm for optimizing player positioning using circular intuitionistic fuzzy COCOSO with Einstein aggregation by ZhiXin Fang, XinLi Yao, Man Song

“…The developed model aggregates the data collected, integrating the COCOSO method. The resulting aggregation operators (AOs) are examined for their fundamental properties and then used in conjunction with COCOSO to identify the most suitable player positions, balancing individual strengths and weaknesses. …”
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Deep learning with data transformation improves cancer risk prediction in oral precancerous conditions by John Adeoye, Yuxiong Su

“…Overall, decision curve analysis showed that the optimal DL models with transformed data had a higher net benefit than random forest and binary dysplasia grading. …”
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Effect of a surgical sponge counting stand on counting discrepancies, time efficiency, and operating room staff satisfaction: A quality improvement study by Naeimeh Eftekhari, Akram Aarabi, Aygineh Hairabedian

“…Data analysis was performed using SPSS version 16, employing descriptive statistics, paired t-tests, and Wilcoxon tests with a significance level set at 0.05.Results: The surgical sponge counting stand significantly reduced the time required for sponge counting during tissue closure (P<0.001) and skin closure (P<0.001), and significantly decreased overall counting discrepancies (P=0.01). …”
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A multi-attribute decision making method for evaluation of traditional Chinese medicine quality based on complex m-generalized q-neutrosophic set by Minghua Shi, Jinbo Zhang

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Policy Development Framework for Operations Management During Crises: A Multiple Case Study of Nueva Ecija Cooperatives Amid the COVID-19 Pandemic by James Michael Alcaide Dalde

“…Utilizing Mitroff's (1994) five stages of crisis, resilience theory, and stakeholder theory, the research provides a comprehensive view of how cooperatives navigated each stage of the crisis. Data analysis reveals that these cooperatives not only survived but also implemented multifaceted strategies to thrive amidst the challenges. …”
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A Coupled Least Absolute Shrinkage and Selection Operator–Backpropagation Model for Estimating Evapotranspiration in Xizang Plateau Irrigation Districts with Reduced Meteorological... by Qiang Meng, Jingxia Liu, Fengrui Li, Peng Chen, Junzeng Xu, Yawei Li, Tangzhe Nie, Yu Han

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SURGICAL TREATMENT OF VALVULAR DISEASE IN PATIENTS WITH END STAGE CHRONIC RENAL FAILURE AND RENAL TRANSPLANT RECIPIENTS. DEVELOPMENT OF AN OPERATION PROTOCOL AND POSTOPERATIVE CARE by M. L. Semenovsky, Y. G. Moysyuk, D. A. Belokourov, G. A. Akopov

“…This article focuses on analysis of experience of 28 operations of cardiac valves replacement at the patients, suffering terminal stage of CRF taking into account international studies data. …”
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Machine Learning-Based Prediction of Post-Operative Systemic Inflammatory&amp;nbsp;Response Syndrome Following Pediatric&amp;nbsp;Percutaneous Nephrolithotripsy by Abudurexiti N, Liu B, Wang S, Dong Q, Batuer M, Liu Z, Li X

“…The existing adult models showed lower predictive accuracy in the pediatric cohort (AUC values of 0.7420 and 0.7053). Analysis of SHAP values indicated that operation time, stone burden, preoperative hemoglobin, preoperative monocyte count, and hydronephrosis were the five most critical features affecting predictions. …”
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Leucoglycemic index predicts post-operative vasopressor-inotropic requirement after adult cardiac surgery (LEUCOGLYPTICS): A retrospective single-center study by Rohan Magoon, Armaanjeet Singh, Ramesh Kashav, Jasvinder K. Kohli, Iti Shri, Noopur Bansal, Vijay Grover

“…Results: Out of 2138 patients, 479 (22.40%) patients categorized as h-VISi. On univariate analysis: LGI, age, European System for Cardiac Operative Risk Evaluation score (EuroSCORE II), left-ventricle ejection fraction, prior congestive heart failure (CHF), chronic renal failure, angiotensin-converting enzyme inhibitors, combined surgeries, CPB and aortic cross-clamp (ACC) duration, blood transfusion, and immediate post-operative glucose were significant h-VISi predictors. …”
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An intelligent assessment of factors affecting new generations in the era of the internet and new media using intuitionistic hesitant fuzzy sugeno-weber aggregation operators by Yuxin Li, Yao Liu, Dan Zhao

“…Using SWOs and IHFS information, we construct the intuitionistic hesitant fuzzy Sugeno-Weber weighted averaging (IHFSWWA) and intuitionistic hesitant fuzzy Sugeno-Weber weighted geometric (IHFSWWG) operators. Also, we investigate some fundamental axioms of aggregation operators (AOs), like monotonicity, boundedness, and idempotency. …”
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Effect of preoperative nutritional support on the main indicators of body composition and nutritional status in patients with high operative and anesthetic risk in abdominal oncolo... by A. Yu. Medvedev, I. N. Leyderman, O. G. Eremeeva, R. A. Zukov

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Assimilating Tianmu‐1 RO Data From a 23‐Satellite Constellation to Enhance the Track Forecasts of Typhoon Gaemi (2024) by S. Yang, X. Zou

“…Although no other satellite data were included in the assimilation, the Tianmu‐enhanced forecasts exhibited slightly higher accuracy than those from operational track prediction by the National Centers for Environmental Prediction's Global Forecast System. …”
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Synergy of machine learning and the Einstein Choquet integral with LOPCOW and fuzzy measures for sustainable solid waste management by Yasir Yasin, Muhammad Riaz, Kholood Alsager

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Effect Evaluation and Research of Bidirectional Shock Absorber Based on Measured Frequency of Downhole Perforation Detonation Wave by LI Benchi, TANG Kai, LU Yinghui, LUO Miaozhuang, CHEN Huabin, HUANG Renguo

“…The shock absorber can meet the requirements of joint operation of ultra-deep well perforation test, and the field application effect is good.…”
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Maintaining operability at a high personal cost – a mixed method study on maternal healthcare workers’ experiences during the COVID-19 pandemic by Magnus Akerstrom, Anna Wessberg, Emina Hadžibajramović, Sofie Graner, Ylva Carlsson, Ola Andersson, Maria Jonsson, Elin Naurin, Malin Veje, Verena Sengpiel, Karolina Linden

“…Strategies and adaptations on an organizational, managerial, and individual level played an important role in modifying the impact on the organization’s operations and employees.…”
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