Mitigating Container Damage and Enhancing Operational Efficiency in Global Containerisation by Sergej Jakovlev, Tomas Eglynas, Mindaugas Jusis, Valdas Jankunas, Miroslav Voznak

“…Enhanced monitoring and data analysis are essential for improving container handling processes, supporting sustainable growth in global containerisation, and mitigating financial risks.…”
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A Retrospective Chart Review of Ostomy Pouching Systems in New Ileostomy Patients: A Sub-Analysis by Cecilia Zamarripa, Alexandra Craig, Carol Mathews, Lisa Small, Amy Folk

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On Reliability of 110-500 kV GIS: Operational Experience by Korotchenko Evgeniy, Galiaskarov Irek, Misrikhanov Misrikhan, Ryabchenko Vladimir, Shuntov Andrey

“…Significant and insignificant failures of GIS, including their structure, namely, distribution by elements of installations, technical and organizational causes of occurrence, dependence on the year of operation are subjected to analysis. The flow parameter (frequency) of GIS failures is determined, as well as the maximum possible time of GIS restoration after damage to the arc suppression chamber of the pole of the 500 kV circuit breaker. …”
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Fuel consumption of a sugarcane harvester in different operational settings by Carlos R. G. Ramos, Kléber P. Lanças, Gabriel A. de Lyra, Jefferson Sandi

“…ABSTRACT The interventions performed during the mechanized harvesting are essential to improve the operational performance of sugarcane harvesters and reduce operational costs. …”
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EFFECT OF OPERATIONAL RISK ON THE PERFORMANCE OF LISTED INSURANCE COMPANIES IN NIGERIA by Kehinde Isiaq Olaiya, Richard Ore-Oluwa Akingunola, Abdul-Azeez Adeniyi Alao

“…Methods: Using a panel data regression analysis, we employ four models: pooled regression, fixed effects, random effects, and Difference Generalized Method of Moments (D-GMM), to explore the impact of operational risk factors, including the claims ratio, expense ratio, leverage, and firm size, on Adjusted RAROC. …”
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Institutional Barriers Impeding Collegiate Sport Club Operational Effectiveness by Leeann Lower-Hoppe, W. Andrew Czekanski, Daniel Springer, Brittani Becher, J Patrick Marsh, Richard 'JR' Rathjens

“…Thematic analysis across the data sources revealed three overarching themes, pointing to institutional rules, policies, and procedures (regulations on club eligibility, executive boards, resource allocations, financial activities, risk, travel, marketing); university constraints (limited university resources, organizational problems, interorganizational conflict); and club constraints (poor communication, poor planning and documentation, poor decisions, centralized leadership) as factors impeding club operations. …”
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A study on the classification and prediction of firefighter's operational fatigue level. by Mingwei Xu, Shangxue Yang, Ke Wang, Chengliu Yu, Guanlin Liu, Chao Dai, Ruiqi Wang

“…Firefighting operations in high-rise building fires require firefighters to navigate complex environments while undertaking physically demanding, heavy-load tasks, which often lead to severe fatigue, impairing their operational efficiency and decision-making. …”
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Integrated Index for assessing operational uncertainty in manufacturing for decision-making by Matolwandile M. Mtotywa, Matshediso Mohapeloa

“…Contribution/value-add: Developing this index is crucial in operations management, as it provides a systematic and simplified approach to assessing, comparing and managing complex data sets.…”
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Artificial intelligence in nursing: an integrative review of clinical and operational impacts by Salwa Hassanein, Salwa Hassanein, Rabie Adel El Arab, Rabie Adel El Arab, Amany Abdrbo, Mohammad S. Abu-Mahfouz, Mastoura Khames Farag Gaballah, Mohamed Mahmoud Seweid, Mohamed Mahmoud Seweid, Mohammed Almari, Husam Alzghoul

“…Using the PRISMA 2020 and SPIDER frameworks alongside rigorous quality appraisal tools (MMAT and ROBINS-I), the review examined the multifaceted effects of AI integration in nursing. Our analysis focused on three principal domains: clinical advancements and patient monitoring, operational efficiency and workload management, and ethical implications.ResultsThe review demonstrates that AI integration in nursing has yielded substantial clinical and operational benefits. …”
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Use of SLSTR Sea Surface Temperature Data in OSTIA as a Reference Sensor: Implementation and Validation by Chongyuan Mao, Simon Good, Mark Worsfold

“…Sea surface temperature (SST) data from the Sea and Land Surface Temperature Radiometer (SLSTR) onboard the Sentinel-3 satellites have been used in the Met Office’s Operational Sea Surface Temperature and Sea Ice Analysis (OSTIA) since 2019 (Sentinel-3A SST data since March 2019 and Sentinel-3B data since December 2019). …”
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Enhancing hydrometric monitoring in Ethiopia's Abbay basin: A collaborative framework for Data-Scarce Africa by Ermias Teferi, Greg O'Donnell, Woldeamlak Bewket, Gete Zeleke, Claire Walsh

“…Third, we performed rigorous quality checks through statistical analysis, including outlier analysis and homogeneity tests on daily streamflow data from more than 100 stations, ensuring data reliability and integrity. …”
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Partitioning Dichotomous Items Using Mokken Scale Analysis, Exploratory Graph Analysis and Parallel Analysis: A Monte Carlo Simulation by Gomaa Said Mohamed Abdelhamid, María Dolores Hidalgo, Brian F. French, Juana Gómez-Benito

“…In this study we perform simulation-based comparisons of two EGA methods (EGA with graphical least absolute shrinkage and selector operator; EGAtmfg with triangulated maximally filtered graph algorithm), two MSA methods (AISP: automated item selection procedure; GA: genetic algorithm), and two widely used factor analytic techniques (parallel analysis with principal component analysis (PApc) and parallel analysis with principal axis factoring (PApaf)) for partitioning dichotomous items. …”
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Impact of financial distress on the dividend policy of banks in India: evidence using panel data by Aashi Rawal, Santosh Gopalkrishnan

“…Abstract The study primarily aims to examine the impact of financial distress on the dividend distribution policy of banks operating in India. Panel data analysis was performed using a static model to investigate the impact of distress on the bank’s dividend policy. …”
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The Impact of OMNI Data Accuracy on Thermospheric Neutral Density Simulations at Grid Cell Resolutions by Espen Fredrick, Yu Hong, Ramon Lopez, Yue Deng

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Application of Data Mining Methods in the Design and Creation of New Products and Services by A. A. Bryzgalov, E. V. Yaroshenko

“…This is a fairly large amount of data showing the completed operations of mobile operator subscribers.Results. …”
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Development of a Fatty Liver Index Based on Real‐World Data by Wenfeng Ding, Lanlan Liu, Wenjing Lu, Yingli Li, Jing Zhang, Cui Zhang, Yufei Wang, Xueping Ma, Xiaoli Yang

“…FLI‐L and FLI‐PL were developed using binary logistic regression analysis. The diagnostic performance of the FLI‐L and FLI‐PL was evaluated using the area under the receiver‐operating characteristic curve (AUC‐ROC) with sensitivity, specificity, and positive and negative likelihood ratios. …”
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Multi-Source Data Fusion-Based Grid-Level Load Forecasting by Hai Ye, Xiaobi Teng, Bingbing Song, Kaiming Zou, Moyan Zhu, Guangyu He

“…Traditional approaches accumulate provincial forecasts without considering regional heterogeneity in load characteristics, data quality, and forecasting capabilities. Our methodology implements a comprehensive evaluation index system that quantifies forecast trustworthiness through three key dimensions: forecast reliability, provincial impact, and forecasting complexity. …”
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Assemblage theory, data systems and data ecosystems: The data assemblages of the Irish planning system by Rob Kitchin, Juliette Davret, Carla M Kayanan, Samuel Mutter

“…The work of the state has been transformed by digitalisation and datafication, with paper systems increasingly complemented and replaced by digital data systems. While much research has been undertaken on the effects of these data systems on e-government and e-governance, relatively little critical attention has been paid to the ontological nature of the data systems themselves, how they come into being, operate, iterate, and work in conjunction with other systems. …”
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Method of Diagnostics of Operation Modes of Individual Heat Supply Units, Allowing to Detect Pre-Emergency Situations at an Early Stage by Dvortsevoy A.I., Borush O.V., Khoreva V.A., Yakovina I.N.

“…To achieve this goal, the following tasks were solved: creating and debugging methods for diagnosing IH operating modes; using the cluster analysis method, in particular the K-means algorithm, to identify pre-emergency situations at an early stage; analyzing the relationship between outdoor air temperature data and the pressures of direct and return network water in IHU operating modes using Novosibirsk as an example. …”
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Intelligent Diagnosis of Rolling Element Bearings Under Various Operating Conditions Using an Enhanced Envelope Technique and Transfer Learning by Ali Davoodabadi, Mehdi Behzad, Hesam Addin Arghand, Somaye Mohammadi, Len Gelman

“…This study assesses the effectiveness of a simple convolutional neural network (SCNN) and a transfer learning-based convolutional neural network (TL-CNN) for diagnosing REB faults using time-domain signals, frequency-domain spectra, and envelope frequency spectrum analysis. The study uses diverse datasets, including laboratory and industrial data under various operating conditions, covering fault types like inner race fault (IRF), outer race fault (ORF), rolling element fault (REF), and healthy (H) states. …”
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