Impact of COVID-19 control measures on influenza positivity among patients with acute respiratory infections, 2018–2023: an interrupted time series analysis by Wei Chen, Huabin Wang, Xianlin Ten, Miao Fu, Meili Lin, Xiaoping Xu, Yongjun Ma

“…We performed an interrupted time series analysis (ITSA) using a beta regression model and a generalized additive model (GAM), adopting a two-model cross-validation strategy to assess the effect of two major interventions on influenza positivity: the COVID-19 control measures implemented in early 2020 and lifted at the end of 2022. …”
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Usability of machine learning algorithms based on electronic health records for the prediction of acute kidney injury and transition to acute kidney disease: A proof of concept stu... by Lorenzo Ruinelli, Pietro Cippà, Chantal Sieber, Clelia Di Serio, Paolo Ferrari, Antonio Bellasi

“…The high NPV also suggests its implementation as a tool to rule out the risk of renal failure, aid in individualizing patient care, and allocate healthcare resources.…”
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Designing a Cross-Platform Application That Employs Multi-Criteria Decision Making for Estimating the Value of Monumental Trees by Katerina Kabassi, Konstantinos Asiklaris, Aristotelis Martinis, Charikleia Minotou, Athanasios Botonis

“…The methodology is implemented in a cross-platform application called “Olea App”. …”
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Dimensional Accuracy Evaluation of Single-Layer Prints in Direct Ink Writing Based on Machine Vision by Yongqiang Tu, Haoran Zhang, Hu Chen, Baohua Bao, Canmi Fang, Hao Wu, Xinkai Chen, Alaa Hassan, Hakim Boudaoud

“…The absence of standardized evaluation methodologies for single-layer dimensional accuracy significantly hinders the broader implementation of direct ink writing (DIW) technology. …”
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A MECHANISM FOR CYCLIC-DYNAMIC SCREENING OF PRIMARY FINANCIAL MONITORING ENTITIES UNDER WARTIME CONDITIONS by Даріуш Кравчик, Олена Заруцька, Людмила Захаркіна, Петра Крішкова, Олена Вакульчик, Тетяна Доценко

“…The study constructed additive time series models for two distinct periods: pre-war (2011–2019) and wartime (2021–2024). …”
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Full-Digital Manni Telescopic Herbst: structural innovation and digital manufacturing by Andrea Boggio, Andrea Boggio, Mauro Cozzani, Mauro Cozzani, Fabrizio Anelli, Giorgio Gastaldi, Antonio Manni, Antonio Manni

“…This paper introduces the structural innovation and digital manufacturing of Full Digital Manni Telescopic Herbst (MTH) Appliance, a structurally innovative and digitally manufactured system aimed at enhancing clinical outcomes and reducing treatment failures.Materials and equipmentUtilizing a fully digital workflow, including CAD/CAM design, intraoral scanning, and additive manufacturing, the MTH appliance integrates a full-coverage mandibular splint, digitally designed and precision-engineered maxillary and mandibular components.ResultsThe clinical implementation of the MTH appliance demonstrates excellent fit and high mechanical reliability, reducing lower incisor proclination and offering a proper vertical control. …”
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Laboratory Evaluation of Organic and Chemical Warm Mix Asphalt Technologies for SMA Asphalt by Martins Zaumanis, Eric Olesen, Viktors Haritonovs, Guntis Brencis, Juris Smirnovs

“…However, in order to reach widespread implementation of WMA, it is necessary to prove that it has the same or better mechanical characteristics and long-term performance as HMA. …”
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Noise2Variance: Dual networks with variance constraint for self‐supervised real‐world image denoising by Hanlin Tan, Yu Liu, Maojun Zhang

“…This method exemplifies the implementation of the variance constraint and introduces a data constraint for dual networks. …”
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AI-Based Identification and Redevelopment Prioritization of Inefficient Industrial Land Using Street View Imagery and Multi-Criteria Modeling by Yan Yu, Qiqi Yan, Yu Guo, Chenhe Zhang, Zhixiang Huang, Liangze Lin

“…To address these challenges, this study develops an AI-driven redevelopment prioritization framework for identifying IIL, evaluating redevelopment potential, and establishing implementation priorities. For land identification we propose an improved YOLOv11 model with an AdditiveBlock module to enhance feature extraction in complex street view scenes, achieving an 80.1% mAP on a self-built dataset of abandoned industrial buildings. …”
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Prediction of Water Quality Index of Island Counties Under River Length System—A Case Study of Yuhuan City by Cheng Zhang, Lei Wang, Chuan Lin, Minyuan Lu

“…In order to cope with the extremely difficult challenges of water pollution control, China has widely implemented the river chief system. The water quality monitoring of surface water environment, as a solid defense line to safeguard human health and ecosystem balance, is of great importance in the river chief system. …”
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Development and validation of a machine-learning model for the risk of potentially inappropriate medications in elderly stroke patients by Xiaodan Yang, Qianqian Ye, Mengxiang Zhang, Yuewei Xu, Manqin Yang

“…The dataset was randomly split into training and internal validations sets in a 7:3 ratio. Additionally, a dataset independent of the training set in terms of time was selected, consisting of 240 stroke patients diagnosed at the same hospital from January to February 2025, to serve as an external validation cohort. …”
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OPERATING CHARACTERISTICS OF CONCRETE MODIFIED BY HIGH-VAPOR SAPONITE-CONTAINING MATERIAL by M. V. Morozova

“…One of the most common and popular building materials is fine grained concrete with the chemical additives of imported production and such additives enhance the performance characteristics of composite. …”
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Denoising of Heart Sounds Using Lightweight FCNs and Spectrograms With and Without Context by Declan Duggan, Andriy Temko, Volodymyr Sarana, Andreea Factor, Emanuel Popovici

“…This is aimed at reducing latency in a future real-time implementation of this scheme. We investigate whether providing this latter network with context improves the performance. …”
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ML-Enabled Solar PV Electricity Generation Projection for a Large Academic Campus to Reduce Onsite CO₂ Emissions by Sahar Zargarzadeh, Aditya Ramnarayan, Felipe de Castro, Michael Ohadi

“…A meta-learning algorithm was implemented in Phase IV to project future CO₂ emissions post-solar PV installation. …”
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Design and optimization of quinary high entropy alloy systems with single-phase microstructures from conventional alloy systems by Joseph Agyapong, Yuxin Su, Jatin Chhabra, Aleksander Czekanski, Solomon Boakye-Yiadom

“…By integrating manufacturability constraints into HEAs' early-stage design, this work provides a scalable, data-efficient pathway to application-ready HEAs, bridging computational discovery with industrial implementation.…”
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Unlocking the Potential of Mass Customization Through Industry 4.0: Mapping Research Streams and Future Directions by Ludovica Diletta Naldi, Francesco Gabriele Galizia, Marco Bortolini, Matteo Gabellini, Emilio Ferrari

“…Key enablers such as product modularity, customer co-design platforms, additive manufacturing, and reconfigurable production systems are discussed, along with barriers related to complexity, integration challenges, and sustainability trade-offs. …”
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A leave-one-out algorithm for contribution analysis in component network meta-analysis by Yunhe Mao, Yiwen Shen, Qinbo Yang, Qingyang Shi, Sheyu Li

“…The method also formally decomposes component estimates into direct and additive evidence sources. Its utility and validity were evaluated through implementation using hypothetical networks and a real-world dataset. …”
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A cost-effective load side management solution based on power line carrier communication i-PLCC. by Maria Ashraf, Abdul Rafay Khan, Syed Sajjad Haider Zaidi, Asif Gulraiz, Bilal Muhammad Khan

“…A novel simulation model has been presented incorporating RLCG (Resistance, Inductance, Capacitance, and Conductance) tools and additive white Gaussian noise (AWGN). Performance parameter have been comprehensively analyzed of implementation using aluminum as a communication medium. …”
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An interpretable model for landslide susceptibility assessment based on Optuna hyperparameter optimization and Random Forest by Xin Xiao, Yi Zou, Jiangcheng Huang, Xuan Luo, Luyi Yang, Meng Li, Pengwu Yang, Xuan Ji, Yungang Li

“…This study proposed an interpretable model that combines Random Forest (RF), Optuna hyperparameter optimization, and SHapley Additive exPlanations (SHAP) to achieve optimal landslide susceptibility evaluation and provide explanations in the northwest region of Yunnan Province in China. …”
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A dual-method approach integrating dynamic QCA and LightGBM-SHAP algorithms to uncover the configuration paths and key drivers of water resource green efficiency in China by Naiming He, Rijia Ding

“…This study provides key policy recommendations, including the promotion of green technology, the strengthening of regulations, the enhancement of policy resilience, the implementation of region-specific strategies, and the integration of the digital economy with water resource management, thus offering valuable insights for regions facing water scarcity.…”
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