Visual and Statistical Methods for Analysing Irregularity Data in Rolling Stocks – An Application on Turkey’s Freight Wagons Fleet by Ömür AKBAYIR, Serdar BENLİGİRAY, Ahmet ONAY

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A guide for nanomechanical characterization of soft matter via AFM: From mode selection to data reporting by Eunyoung Kim, Alexandra L. Ramos Figueroa, Max Schrock, Elizabeth Zhang, Christina J. Newcomb, Zhenan Bao, Lukas Michalek

“…We detail their principles, mechanisms, and trade-offs while offering practical advice for experiment execution, data analysis, and result reporting. This protocol seeks to guide researchers to execute consistent and comparable AFM measurements, bridge the gap between theoretical knowledge and practical implementation, and address key challenges in standardization and reproducibility within the field of soft matter nano-mechanics.…”
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Data Governance Design for Optimization of Hospital Management Information System (SIM-RS) at ABC Regional Hospital by Muhammad Furqan Nazuli, Irfan Walhidayah, Neng Ayu Herawati, Lenny Putri Yulianti, Kridanto Surendro

“…FHIR standards facilitate seamless data exchange across healthcare systems, optimizing operational efficiency. …”
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Comprehensive Fault Diagnosis of Three-Phase Induction Motors Using Synchronized Multi-Sensor Data Collection by Kevin Thomas, Ahasanur Rahman, Wesam Rohouma, Md. Faysal Ahamed, Fariya Bintay Shafi, Md. Nahiduzzaman, Amith Khandakar

“…Unlike existing datasets, this collection offers synchronized electrical and mechanical sensor data, enabling advanced cross-sensor fault analysis. …”
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Changes in Land Use and Land Cover Patterns in Two Desert Basins Using Remote Sensing Data by Abdullah F. Alqurashi, Omar A. Alharbi

“…First, image classification was conducted using remote sensing data from different satellite platforms, namely the Multispectral Scanner, the Landsat Thematic Mapper, the Enhanced Thematic Mapper Plus, and the Operational Land Imager. …”
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Design and Validation of the MANTiS-32 Wireless Monitoring System for Real-Time Performance-Based Structural Assessment by Jaehoon Lee, Geonhyeok Bang, Yujae Lee, Gwanghee Heo

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AI-driven diagnosis and health management of autonomous electric vehicle powertrains: An empirical data-driven approach by Hicham El hadraoui, Adila El maghraoui, Oussama Laayati, Erroumayssae Sabani, Mourad Zegrari, Ahmed Chebak

“…A suite of supervised ML classifiers, decision trees, gradient-boosted trees, random forests, and artificial neural networks are evaluated using experimental vibration data collected from bench-mounted IMs operating under three distinct conditions: healthy, bearing fault, and static eccentricity. …”
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Privacy-Preserving Poisoning-Resistant Blockchain-Based Federated Learning for Data Sharing in the Internet of Medical Things by Xudong Zhu, Hui Li

“…However, the private nature of medical data, coupled with strict compliance requirements, has resulted in the separation of information repositories in the IoMT network, severely hindering protected inter-domain data cooperation. …”
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Exploring Data Traceability Methods in Information Management Within Universities: An Action Research and Case Study Approach by Huang Chen, Zhenying Hu

“…The system is designed for ease of implementation, management, and use, and has been optimized for the unique operational needs of higher education institutions.This research adopts a combination of action research and case study methodologies, starting with small-scale trials to assess system performance before expanding the scope to gather data from broader applications. …”
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Combined data-driven and knowledge-driven methodology for system inertia estimation based on the successional difference method by Linjun Shi, Yijie Zhao, Feng Wu, Keman Lin

“…This combined data and knowledge driven methodology significantly improves estimation accuracy. …”
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Enabling Federated Learning Services Using OPC UA, Linked Data and GAIA-X in Cognitive Production by Christian Friedrich, Stefan Vogt, Franziska Rudolph, Paul Patolla, Jossy Milagros Grützmann, Orlando Hohmeier, Martin Richter, Ken Wenzel, Dirk Reichelt, Steffen Ihlenfeldt

“…In particular, the Industry 4.0 Asset Administration Shell (AAS) and OPC UA are used for collecting and referencing operational and engineering data. GAIA-X connectors transfer the service relevant data through a shared data space. …”
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Evaluating Air Pollution in South African Priority Areas: A Qualitative Comparison of Satellite and In-Situ Data by Nasiphi Ngcoliso, Lerato Shikwambana, Zintle Mbulawa, Moleboheng Molefe, Mahlatse Kganyago

“…Validating satellite data is essential to ensure its accuracy, reliability, and practical applicability. …”
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Storm Surge Clusters, Multi-Peak Storms and Their Effect on the Performance of the Maeslant Storm Surge Barrier (The Netherlands) by Alexander M. R. Bakker, Dion L. T. Rovers, Leslie F. Mooyaart

“…Yet, in the case of operated flood defenses, such as storm surge barriers, the temporal clustering of successive events may be just as important. …”
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Cancer Recurrence in Operated Primary Oral Squamous Cell Carcinoma Patients Seems to Be Independent of the Currently Available Postoperative Therapeutic Approach: A Retrospective C... by Shahram Ghanaati, Samuel Ebele Udeabor, Anne Winter, Robert Sader, Anja Heselich

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Optimizing space heating efficiency in sustainable building design a multi criteria decision making approach with model predictive control by Zheng Qi, Nan Zhou, Xianwei Feng, Sama Abdolhosseinzadeh

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Parameter analysis of vibratory energy flow in a hermetic compressor by statistical energy analysis by W. A. Barbosa, A. Lenzi, P.H. T. Zaninin

“…The theoretical model is based on Statistical Energy Analysis. Shell and body vibratory energies have been measured at a standard operation condition, and the coupling loss factor thus obtained agreed well with predicted values calculated from impedance data. …”
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A tutorial on ‘capped utilisation’ as a metric and key performance target in NHS England’s Model Hospital operating theatres database: caution for international healthcare systems... by Chen Zhang, Claire Dunstan, Jaideep J. Pandit

“…Moreover, we discovered many instances of implausible CTU values and underlying patterns indicating fundamental flaws in the CTU algorithm, rather than data entry errors. We conclude that CTU, and the NHS target of 85%, is not a suitable metric for operating theatre performance. …”
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Investigating bicycle crash frequency, severity, and safety in numbers at signalized intersections in Utah using crowdsourced data by Ahadul Islam, Michelle Mekker, Patrick A. Singleton

“…Zero-inflated negative binomial models of bicycle crash frequencies and ordered logit models of bicycle crash severities were estimated, accounting for different levels of data availability. Also, an aggregate time period analysis compared bicycle crash rates and severity levels for different weekdays and months. …”
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Empowering data-driven load forecasting by leveraging long short-term memory recurrent neural networks by Waqar Waheed, Qingshan Xu, Muhammad Aurangzeb, Sheeraz Iqbal, Saadat Hanif Dar, Z.M.S. Elbarbary

“…Conventional statistical analysis and machine learning methods struggle with accurately capturing the intricate temporal relationships present in load data. …”
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Construction of Multi-Sample Public Building Carbon Emission Database Model Based on Energy Activity Data by Yue Guo, Xin Zheng, Wei Wei, Yuancheng He, Xiang Peng, Fei Zhao, Hailong Wu, Wenxin Bi, Hongyang Yan, Xiaohan Ren

“…Moreover, preliminary exploration of the second phase has been conducted, focusing on identifying key influencing factors of carbon emissions during the operational phase of public buildings. Office buildings have been selected as representative samples to carry out baseline modeling and variable selection using linear regression analysis. …”
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