Rapid and sensitive identification of Candida in blood based on M1 beads enrichment combined with multiple recombinase-aided PCR: a culture-independent approach by Yuxin Wang, Yuxin Wang, Yuxin Wang, Xiaoping Chen, Kenan Peng, Yanqing Tie, Yanqing Tie, Yanqing Tie, Yuan Gao, Zhiqiang Han, Xiaona Lyu, Hongyi Li, Ruiqing Zhang, Shijue Gao, Xinxin Shen, Xuejun Ma, Zhishan Feng, Zhishan Feng, Zhishan Feng

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Seismic clusters and fluids diffusion: a lesson from the 2018 Molise (Southern Italy) earthquake sequence by Stefania Gentili, Piero Brondi, Giuliana Rossi, Monica Sugan, Giuseppe Petrillo, Jiancang Zhuang, Stefano Campanella

“…We explored how the significant discrepancies in these methods’ results affect the result of NExt STrOng Related Earthquake (NESTORE) algorithm—a method to forecast strong aftershocks during an ongoing cluster—previously successfully applied to the whole Italian territory. …”
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Mitigating Cyber Risks in Smart Cyber-Physical Power Systems Through Deep Learning and Hybrid Security Models by M. A. S. P. Dayarathne, M. S. M. Jayathilaka, R. M. V. A. Bandara, V. Logeeshan, S. Kumarawadu, Chathura Wanigasekara

“…The study emphasizes the difficulties in identifying cyber risks in grids with significant renewable integration, such as frequency instability and diminished system inertia, and suggests energy storage alternatives and sophisticated forecasting models to mitigate these issues. By incorporating a novel pre-processing method that leverages feature derivatives, the proposed models achieve over 98% accuracy in detecting cyber threats, providing a robust framework for protecting smart power grids from evolving cyber risks.…”
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Transparent prevention and control system for water hazards in mine floors under empowerment based on spatiotemporal information fusion by Zaibin LIU, Junsheng YAN, Jianghong WANG, Yaoquan GAO, Hui YANG, Baojun BAI, Jingjin LU, Hongwei WANG, Gang WANG

“…This study introduced the spatiotemporal detection methods for water hazards at various stages, spatiotemporal registration and synchronization, and spatiotemporal information-based empowerment modes. …”
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Modeling the Analysis of the Financial Result of an Entity by Alexandra A. Derbicheva

“…Methodology. The methods used are system and complex approaches, dialectic method of cognition, scientific abstraction, analysis and synthesis, comparison methods and others. …”
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Video prediction based on temporal aggregation and recurrent propagation for surveillance videosThe datasets analysed during the current study are available in the weblink reposito... by Mohana Priya P, UlagaPriya K

“…Surveillance video datasets demonstrate substantial enhancements in predictive accuracy, highlighting the strength and efficacy of the suggested strategy in practical application. • The proposed method integrates bidirectional video prediction, temporal aggregation, and recurrent propagation to effectively reconstruct missing intermediate video frames with enhanced accuracy. • Comparative analysis using the UCF-Crime dataset demonstrates higher PSNR and SSIM values for the proposed method, indicating improved frame quality and temporal consistency over existing techniques. • This research provides a robust framework for future advancements in video frame prediction, contributing to applications in anomaly detection, surveillance, and video restoration.…”
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Monitoring air quality index with EWMA and individual charts using XGBoost and SVR residuals by Zulfani Alfasanah, M. Zaim Husnun Niam, Sri Wardiani, Muhammad Ahsan, Muhammad Hisyam Lee

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PhenoVision: A framework for automating and delivering research‐ready plant phenology data from field images by Russell Dinnage, Erin Grady, Nevyn Neal, Jonn Deck, Ellen Denny, Ramona Walls, Carrie Seltzer, Robert Guralnick, Daijiang Li

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Genetic characterization of type 3 vaccine-derived poliovirus from a patient with hand, foot, and mouth disease in China by Wei Zhang, Dongmei Yan, Hanri Zeng, Lei Zhou, Huanying Zheng, Shuangli Zhu, Yong Zhang, Baisheng Li

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A Low-Noise High-Resolution Temperature Measurement Technique Based on Inductive Voltage Divider and Alternating-Current Bridge by Shanghua Gao, Xiaoyi Zhu, Xiaofeng Zhang, Bing Xue, Jilou Xi, Jiang Li, Bing Zhang, Xiaolei Wang, Yuru Wang, Haoyue Zhang, Xu Wu

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Prediction for Coastal Wind Speed Based on Improved Variational Mode Decomposition and Recurrent Neural Network by Muyuan Du, Zhimeng Zhang, Chunning Ji

“…A comparative analysis of different Intrinsic Mode Function (IMF) selection ratios revealed that selecting a 50% IMF ratio effectively retains the intrinsic information of the raw data while minimizing noise. For outlier detection, statistical methods were employed, followed by a comparative evaluation of three models—LSTM, LSTM-KAN, and Seq2Seq-Attention—for multi-step wind speed forecasting over horizons ranging from 1 to 12 h. …”
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Dye‐based recombinase‐aided amplification assay with enhanced sensitivity and specificity by Zijin Zhao, Yanbo You, Shaowei Hua, Xinxin Shen, Lingjun Li, Xuejun Ma

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Anomaly-Aware Tropical Cyclone Track Prediction Using Multi-Scale Generative Adversarial Networks by He Huang, Difei Deng, Liang Hu, Nan Sun

“…Tropical cyclones (TCs) frequently encompass multiple hazards, including extreme winds, intense rainfall, storm surges, flooding, lightning, and tornadoes. Accurate methods for forecasting TC tracks are essential to mitigate the loss of life and property associated with these hazards. …”
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Effectiveness of machine learning models in diagnosis of heart disease: a comparative study by Waleed Alsabhan, Abdullah Alfadhly

“…The results of this research not only illuminate the optimal scaling methods and ML models for forecasting heart disease, but also offer valuable perspectives on the pragmatic ramifications of implementing these models within a healthcare environment. …”
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Molecular epidemiological characterization of human bocavirus (HBoV) in acute respiratory infection (ARI) patients in Yucheng, China by Qi Wen, Qi Wen, Ronghua Yang, Qin Luo, Qiangqiang Shi, Ze Chen, Chen Gao, Haijun Du, Guoyong Mei, Shuying Li, QinQin Song, Jun Han

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Road safety improvement in road traffic participant – vehicle – road – external environment system by E. V. Kurakina, V. A. Sklyarova

“…The use of an integrated approach instead of disparate single actions will allow achieving the tasks set for the state to reduce the accident rate on the country’s roads.Materials and methods. Analytical methods based on analysis of links, flows, temporary analysis of events, methods of road traffic safety assessment based on detection of safety and accident factors, detection of accident concentration places, methods of probability theory and processing of research results, software-computing methods of information technologies.Results. …”
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Long-Term, Multivariate Time Series Generation With the Capture of Intervariate Correlations and Variatewise Characteristics by Kasumi Ohno, Kohei Makino, Makoto Miwa, Yutaka Sasaki

“…Recently, generative approaches to TSG have been explored for applications such as privacy protection, anomaly detection, and time series classification/forecasting. …”
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Dynamic risk prediction in financial-production systems using temporal self-attention and adaptive autoregressive models by Xuduo Lin, Ziang Qi 

“…In financial production systems, accurate risk prediction is crucial for decision- makers. Traditional forecasting methods face certain limitations when dealing with complex time-series data and nonlinear dependencies between systems, especially under extreme market fluctuations. …”
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Metabolism and immune responses of striped hamsters to ectoparasite challenges: insights from transcriptomic analysis by Xinchang Lun, Yiguan Wang, Ning Zhao, Yujuan Yue, Fengxia Meng, Qiyong Liu, Xiuping Song, Ying Liang, Liang Lu

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A study of the radon seasonality with temporal dummy variables by Alessandro Pignatelli, Giulia Romoli, Veronica Vignoli

“…However, accurately forecasting radon concentrations remains challenging due to the influence of various factors, including meteorological conditions and seasonal fluctuations. …”
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