COVID-19 vaccination and test management for healthcare workers—development, implementation and feasibility of a custom human resources information platform at a university hospita... by Matthias Bonigut, Ana Zhelyazkova, Mathias Weber, Stefanie Geiser-Metz, Markus Geis, Bernhard Heindl, Stephan Prückner

“…Developing a system allowing for agile real-time analysis as well as for reporting employees’ COVID-19 vaccination and testing status while ensuring the security of personnel data presented several technical and managerial challenges. …”
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Impact of Primary Health Care Data Quality on Infectious Disease Surveillance in Brazil: Case Study by Pilar Tavares Veras Florentino, Juracy Bertoldo Junior, George Caique Gouveia Barbosa, Thiago Cerqueira-Silva, Vinicius de Araújo Oliveira, Marcio Henrique de Oliveira Garcia, Gerson Oliveira Penna, Viviane Boaventura, Pablo Ivan Pereira Ramos, Manoel Barral-Netto, Izabel Marcilio

“…However, these datasets are primarily collected for operational use, making data quality assessment essential to ensure an accurate interpretation of epidemiological analysis. …”
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Locomotive Video Monitoring System by 刘应军

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Mathematical modelling with computational fractional order for the unfolding dynamics of the communicable diseases by Mati ur Rahman, Yeliz Karaca, Ravi P. Agarwal, Sergio Adriani David

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The Effect of Return on Asset and Operating Income on the Level of Profit Sharing from Mudharabah Deposits at BMT UGT Nusantara Capem Jajag in the Period 2019-2023 by Eka Febriani, Nur Anim Jauhariyah, Edy Sujoko

“…Data analysis uses multiple linear regression analysis tests with SPSS software. …”
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Assessment of dispatch-assisted cardiopulmonary resuscitation performance during out-of- hospital cardiac arrest in a Tuscan emergency operation center: a retrospective study by Giulia Ballini, Andrea Mezzetti, Stefano Bambi, Simona Casini, Yari Longobucco, Camilla Elena Magi, Laura Rasero

“…Methods: a retrospective study was conducted at the Firenze-Prato Emergency Operation Centre to analyse data collected from all dispatch audio recordings of OHCA events that occurred between 1 January 2019 and 31 December 2020. …”
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Effects of a sedentary behaviour intervention in emergency dispatch centre phone operators: a study protocol for the SECODIS randomised controlled cross-over trial by Bruno Pereira, Frederic Dutheil, Jeannot Schmidt, Martial Mermillod, Jean-Baptiste Bouillon-Minois, Marion Trousselard, Daniel Pic, Maëlys Clinchamps, Thierry Taillandier

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A case study on the effect of aquaculture operations on the physiology and behaviour of Atlantic salmon (Salmo salar) during two heat events on a commercial farm by Jennie Korus, Jennie Korus, Ramón Filgueira, Jon Grant

“…The fish response during the thermal stress events was compared with the periods preceding and following both events, and an additional analysis was carried out to further explore the effects of feeding and farm operations. …”
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Prevalence and Antibiotics resistance profile of Staphylococcus aureus isolated from post-operative wounds in secondary health facilities of Ilorin metropolis, Kwara State, Nigeri... by Oba, A.N., Nuhu, A.

“… Healthcare-associated infections are of different forms, with Surgical Site Infections (SSI) being the second most common type, they continue to be a relatively common postoperative complications and the most frequent reason for re-admission following surgery. Several data from around the world revealed Staphylococcus aureus to be the leading cause of surgical site infection. …”
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Optimizing Virtual Power Plant Operations in Energy and Frequency Regulation Reserve Markets: A Risk-Averse Two-Stage Scenario-Oriented Stochastic Approach by Asad Mujeeb, Zechun Hu, Jianxiao Wang, Rui Diao, Likai Liu, Zhiyuan Bao

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A novel muirhead mean operators based decision algorithm with applications in the orientation of basketball players using circular q-rung orthopair fuzzy information by Changyou Wang

“…The proposed evaluation method uses an advanced decision algorithm based on circular q-rung orthopair fuzzy sets (Cq-ROFS), representing an evolved extension of fuzzy set theory to handle uncertain and complex data from player evaluation. This study introduced four innovative aggregation operators, which include circular q-rung orthopair fuzzy muirhead mean (Cq-ROFMM), circular q-rung orthopair fuzzy dual muirhead mean (Cq-ROFDMM), circular q-rung orthopair fuzzy weighted muirhead mean (Cq-ROFWMM) and circular q-rung orthopair fuzzy dual weighted muirhead mean (Cq-ROFDWMM). …”
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Risk factors and predictive models for post-operative moderate-to-severe mitral regurgitation following transcatheter aortic valve replacement: a machine learning approach by Zhenzhen Li, Jianing Fan, Jiajun Fan, Jiaxin Miao, Dawei Lin, Jingyan Zhao, Xiaochun Zhang, Wenzhi Pan, Daxin Zhou, Junbo Ge

“…Results Among the evaluated models, the random forest model exhibited the highest predictive performance for post-operative moderate-to-severe MR after TAVR. Key predictors, which were confirmed by the SHAP analysis as important in the predictive framework, included echocardiographic parameters, blood test results, patient age, and body mass index. …”
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Effect of intra-articular corticosteroid injections for knee osteoarthritis on the rates of subsequent knee replacement and post-operative outcomes: a national cohort study of Engl... by Samuel Hawley, Albert Prats-Uribe, Gulraj S. Matharu, Antonella Delmestri, Daniel Prieto-Alhambra, Andrew Judge, Michael R. Whitehouse

“…There is a lack of longer-term follow-up in most studies of the effects of IACI, meaning there is scarcity of data on the impact of IACI on the subsequent need for joint replacement. …”
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Reducing Data Uncertainties: Fuzzy Real-Time Safety Level Methodology for Socio-Technical Systems by Apostolos Zeleskidis, Stavroula Charalampidou, Ioannis M. Dokas

“…It aims to address the data uncertainties resulting from a lack of sensors in complex sociotechnical systems and reduce the need for the determination of their safety level in real-time during their operation. …”
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Clustered embedding using deep learning to analyze urban mobility based on complex transportation data. by Sung-Bae Cho, Jin-Young Kim

“…We also demonstrate that the proposed method facilitates the analysis of urban mobility through arithmetic operations between POI vectors.…”
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Gender-inclusive governance in rural water management in Ghana by Mohammed Awal Abubakari

“…Thematic analysis, conducted manually using an inductive approach, guided the data interpretation. …”
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A Data-Driven Approach to Aircraft Engine MRO Using Enhanced ANNs Based on FMECA by Idriss Dagal, Bilal Erol, Wulfran Fendzi Mbasso, Ambe Harrison, Alpaslan Demirci, Umit Cali

“…This study introduces a hybrid predictive maintenance framework integrating artificial neural networks (ANN) with failure modes, effects, and criticality analysis (FMECA). Historical engine sensor data (temperature, pressure, vibration, and oil analysis) trains an ANN that predicts failure probabilities, repair durations, and costs. …”
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The problem of high water cut in the products of horizontal wells by K. O. Shcherbakova

“…The production of oil and gas by horizontal wells, despite all its advantages, is subject to exploratory and operational complications. At the final stage of their development, such fields become hard-to-recover reserves. …”
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Unscented Particle Filter Algorithm Towards Data Quality Improvement in Sustainable Distribution Power Systems by Wanxing Sheng, Huaitian Zhang, Keyan Liu, Xiaoli Meng

“…Sustainable development of power and energy systems (PES) can effectively handle challenges of fuel shortage, environmental pollution, climate change, energy security, etc. Data of PES presents distinctive characteristics including large collection, wide coverage, diverse temporal and spatial scales, inconsistent sparsity, multiple structures and low value density, putting forward higher requirements for real-time and accuracy of data analysis, and bringing great challenges to operation analysis and coordinated control of PES. …”
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Data-Driven Prediction Methods for Lithium-Ion Battery State of Health Based on Elbow Rule by Liu Zhang, Bo Xing, Yanbing Gao, Lei Yao, Dengfeng Zhao, Jinquan Ding, Yanyan Li

“…To eliminate data redundancy, a novel principal component analysis strategy based on the elbow optimization rule was introduced. …”
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