Characterizing forest structural changes in response to non-stand replacing disturbances using bitemporal airborne laser scanning data by Tommaso Trotto, Nicholas C. Coops, Alexis Achim, Sarah E. Gergel, Dominik Roeser

“…These findings showed the potential of bitemporal ALS data in characterizing structural changes due to ESB infestations at fine scale based on canopy cover and height, relevant for forest management strategies to better target current and future infestations.…”
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Proactive Maintenance and Data-Driven Optimization of Mineral Lubricating Oil in a Gas Engine Cogeneration System Extending Oil Change Intervals for Cost Savings and a Reduced Envi... by Krzysztof Pytel, Roman Filipek, Adam Kalwar, Małgorzata Piaskowska-Silarska, Wiktor Hudy, Jana Depešová, Franciszek Kurdziel

“…The research was conducted on a 4.3 MW gas engine operating for about 90,000 machine hours, using natural gas as fuel. Data obtained from SCADA (Supervisory Control and Data Acquisition) systems and laboratory analysis were utilized to establish oil quality criteria, enabling the prediction of oil degradation and optimization of oil change intervals. …”
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Risk Assessment Framework for Power Circuit Breakers Based on Condition, Replacement, and Criticality Indices by Suphon Kumpalavalee, Thanapong Suwanasri, Cattareeya Suwanasri, Rattanakorn Phadungthin

“…The methodology is applied to assess the risk of 149 sample PCBs across 30 substations in Thailand, with relevant data collected for each unit. The resulting risk assessments support proactive maintenance, minimize downtime, optimize the allocation of limited resources, and enhance the overall efficiency, reliability, and safety of the electrical network.…”
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Forecasting framework for dominant SARS-CoV-2 strains before clade replacement using phylogeny-informed genetic distances by Kyuyoung Lee, Atanas V. Demirev, Sangyi Lee, Seunghye Cho, Hyunbeen Kim, Junhyung Cho, Jeong-Sun Yang, Kyung-Chang Kim, Joo-Yeon Lee, Woojin Shin, Soyoung Lee, Sejik Park, Philippe Lemey, Man-Seong Park, Man-Seong Park, Man-Seong Park, Jin Il Kim, Jin Il Kim, Jin Il Kim

“…Additionally, the framework solely using spike gene data demonstrated similar accuracy to those using the complete genome. …”
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Patient characteristics and adverse effects of allogeneic blood transfusion following lower extremity joint replacement in rheumatoid arthritis: a nationwide inpatient sample datab... by Wenyan Geng, Lulu Ye, Xuegao Yu, Qinfeng Yang, Linlin Wang, Xiaodan Li, Qing Xiao, Jian Wang

“…Methods This study analyzed data from the National Inpatient Sample (NIS) database from 2010 to 2019, identifying 66,674 patients diagnosed with RA who underwent LEJR. …”
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Predicting Medical Device Life Expectancy and Estimating Remaining Useful Life Using a Data-Driven Multimodal Framework by Nur Haninie Abd Wahab, Khairunnisa Hasikin, Khin Wee Lai, Kaijian Xia, Alicia Ying Taing, Ran Zhang

“…Thus, by implementing data-driven maintenance and replacement strategies derived from these findings, healthcare organizations can improve operational efficiency, reduce costs, and ensure patient safety. …”
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Fed-DPSDG-WGAN: Differentially Private Synthetic Data Generation for Loan Default Prediction via Federated Wasserstein GAN by Padmaja Ramachandra, Santhi Vaithiyanathan

“…We investigate the potential of replacing the original data with statistically similar synthetic data to be used as training data to predict loan defaulters. …”
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Personalized cardiometabolic care powered by artificial intelligence by Mansur Shomali, Abhimanyu Kumbara, Janice MacLeod, Anand Iyer

“…The intent is to shift from reactive to proactive care including preventive-based guidance and interventions. …”
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Measuring the impact of automated dispensing cabinets implementation on data and inventory management of human normal immunoglobulin in an acute teaching hospital: A pre- and post-... by Alice Pinfield, Kit Lai, Shelley Jones

“…Method: Three months of pre- and post-implementation HNIg dispensing data was compared to the data uploaded to the NIgD for discrepancies. …”
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Pilot study to evaluate the use of remote patient monitoring to guide the timing of valve intervention in patients with severe asymptomatic aortic stenosis (APRAISE-AS): study prot... by James M Cotton, Derek Kyte, Nazish Khan, Winnie Chua, Larissa Fabritz, Richard P Steeds, Yongzhong Sun, Samir Mehta, Katie Kirkham, Philip Collis, Clive Stubbs, Mary Nulty

“…Timely intervention in asymptomatic severe AS is critical, since delayed intervention often results in poor outcomes. Proactive surveillance of symptoms, quality of life and functional capacity should enable timely identification of people who will benefit from aortic valve replacement. …”
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Development of an Automated Aquarium Monitoring System with an IoT Interface using Google Sheets by Theodore Tochuckwu Chiagunye, Somtochukwu Francis Ilo, Godspower Ikechukwu Ndukwe, Henrietta Uchenna Udeani, Ogobuchi Daniel Okey

“… This paper presents the development of an automated aquarium monitoring system with an IOT interface using google sheets; the system autonomously monitors key water quality parameters temperature, pH, and turbidity while automating fish feeding and water replacement functions. An ESP32 microcontroller serves as the system’s core, control unit which is programmed using C++ to transmit environmental data to a cloud-based Google Sheet. …”
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Post-War Air Quality Index in Mosul City, Iraq: Does War Still Have an Impact on Air Quality Today? by Zena Altahaan, Daniel Dobslaw

“…Possible approaches include the implementation of air purification technologies, the preservation of existing ecosystems, the replacement of fossil energy sources with renewable energy options, proactive and sustainable urban planning and enforcing strict air quality regulations and policies to control and reduce pollution levels.…”
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Contributions for Carbon-Neutrality in the Water Sector: From Theory to Practice by Helena M. Ramos, Dídia Covas

“…On the other hand, Digital Twins (DTs) provide useful data collection/analysis tools for reproducing disruption scenarios for resilience assessment purposes and analyzing asset prognosis and the system efficiency to determine proactive management models.…”
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Post-traumatic growth trajectories and influencing factors in patients undergoing hip and knee arthroplasty: a prospective longitudinal study by Yan Xie, Zhongmin Fu, Peifang Li, Jiali Chen, Lin Zhang, Ying Liu, Ning Ning, Zongke Zhou

“…In addition to collecting demographic and disease-related data, several assessments were conducted at four time points: preoperative day 1 (T1), postoperative day 1 (T2), postoperative month 1 (T3), and postoperative month 3 (T4). …”
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Enhanced fire hazard detection in solar power plants: an integrated UAV, AI, and SCADA-based approach by Andrii Lysyi, Anatoliy Sachenko, Pavlo Radiuk, Mykola Lysyi, Oleksandr Melnychenko, Oleksii Ishchuk, Oleg Savenko

“…This capability allows the system to reliably differentiate between true emergencies requiring immediate module replacement and less critical issues, such as soiling that merely necessitates cleaning. …”
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Boosting Software Fault Prediction: Addressing Class Imbalance With Enhanced Ensemble Learning by Hanan Sharif Alsorory, Mohammad Alshraideh

“…Ensemble learning (EL) is a powerful strategy for refining SFP models in object-oriented systems with imbalanced data and improving sensitivity to minority classes. …”
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Integrating Large Language Models into Accessible and Inclusive Education: Access Democratization and Individualized Learning Enhancement Supported by Generative Artificial Intelli... by Inigo Lopez-Gazpio

“…Finally, while recognizing concerns regarding data privacy, potential biases, and ethical implications, the study argues that the proactive and responsible integration of LLMs by educators is necessary for democratizing access to education and to foster inclusive learning practices, thereby advancing the effectiveness and equity of contemporary educational frameworks.…”
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Analysis and Treatment of Floating Slab Track Bed Defects in Shanghai Rail Transit by QU Feng

“…It is recommended to strengthen routine inspections in key sections, enhance the application of online monitoring technologies, and establish a big data platform to drive optimization in track structure design. …”
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Early Prediction of Student Suspension and Dropout for Counseling Resource Optimization Using Multilayer Perceptron by Yu-Huei Cheng, Mu-Hsin Shih, Che-Nan Kuo

“…The dataset used in this study includes student records from Chaoyang University of Technology spanning five academic years (2017–2021). Data from the second semester of the 2021 academic year were designated for model testing, while data from the other nine semesters were used for training and validation. …”
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Research on the Digital Twin System for Rotation Construction Monitoring of Cable-Stayed Bridge Based on MBSE by Yuhan Zhang, Yimeng Zhao, Zhiyi Li, Wei He, Yi Liu

“…Digital twin is a virtual replica of a physical system that updates in real time using sensor data to enable simulations and predictions. For bridges constructed using rotation construction methods, the rotation phase demands continuous monitoring of structural behavior and coordination with surrounding traffic infrastructure. …”
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