A real-world disproportionality analysis of FDA adverse event reporting system (FAERS) events for lecanemab by Linlin Yan, Linhai Zhang, Zucai Xu, Zhong Luo

“…Recent Phase 3 clinical trials have demonstrated its ability to reduce brain amyloid-β (Aβ) load and slow cognitive decline in patients with early Alzheimer’s disease (AD). …”
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Gait characteristics in idiopathic normal pressure hydrocephalus: a review on the effects of CSF tap test and shunt surgery by Iva Hereitová, Alessandra Griffa, Gilles Allali, Tomáš Dorňák

“…Dynamic equilibrium measurements are generally used to assess preoperative levels of cardinal symptoms and postoperative outcomes in iNPH, but quantitative and standardized gait analysis procedures are missing. Changes in balance-related gait parameters after CSFTT might be useful in deciding whether to perform shunt surgery in iNPH patients who hope for improvement in gait ability. …”
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The Diagnostic Utility of Host RNA Biosignatures in Adult Patients With Sepsis: A Systematic Review and Meta-Analysis by Mervin V. Loi, MBBS, MSc, FRCPCH, Rehena Sultana, MSc, MBA, Tuong Minh Nguyen, MSc, Shi Ting Tia, Jan Hau Lee, MBBS, MCI, MRCPCH, Daniel O’Connor, DPhil

“…Its pathophysiology is complex, heterogeneous and temporally dynamic, making diagnosis challenging. Medical management is predicated on early diagnosis and timely intervention. …”
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Search for Kink Events in Variable Fermi-LAT Blazars by P. Peñil, H. Zhang, J. Otero-Santos, M. Ajello, S. Buson, S. Adhikari, A. Rico, J. Escudero Pedrosa, I. Agudo, D. Morcuende, A. Sota, V. Casanova, F. J. Aceituno

“…However, the limited availability of comprehensive polarized data restricted our ability to perform a thorough analysis across all data sets. …”
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Time-domain thermoreflectance technique using multiple delayed probe pulses for high-throughput data acquisition and analysis by Hiroto Arima, Yuichiro Yamashita, Takashi Yagi

“…Furthermore, we applied machine learning-based analysis and demonstrated the ability to determine thermophysical properties from measurement data consisting of only a few delay points. …”
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Unravelling the impact of the covid-19 pandemic on judo: a comparative analysis of the 2018-ec and 2020-ec championships by Jorge M. Gonçalves, João José Ferreira Gomes, Bianca Miarka, Filipe R. Ramos

“…Keywords: judo; COVID-19; performance analysis; combat sport; Temporal Structure of Judo Combat. …”
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Multivariate time series clustering analysis of the Global Dietary Database to uncover patterns in dietary trends (1990–2018) by Adriano Matousek, Tiffany H Leung, Herbert Pang

“…Time series clustering algorithms are different from simple clustering approaches in their ability to appreciate temporal elements. Setting: Nutritional and demographical data from 176 countries were analysed from the GDD. …”
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Improving Wind Turbine Gearbox Reliability: A Hybrid Deep Learning Approach Using Bispectrum Image Analysis by Muhammad Zacky Asy'Ari, Jun Kondoh, Benyamin Kusumoputro

“…This superior performance is attributed to the CNN-BiLSTM’s ability to discern bidirectional temporal patterns within the bispectrum image data, effectively capturing the complex dynamics of gearbox failures. …”
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Federated Learning-Based Credit Card Fraud Detection: A Comparative Analysis of Advanced Machine Learning Models by Zheng Han

“…Therefore, federated learning’s ability can enhance credit card fraud sensing issues without privacy concerns. …”
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EvapoDeep: A Dual Deep Learning Framework Utilizing GNSS Data for Evapotranspiration Modeling and Predictive Analysis by Saeed Ebrahimi, Saeid Haji-Aghajany, Yazdan Amerian, Melika Tasan

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Comparative analysis of deep neural network architectures for renewable energy forecasting: enhancing accuracy with meteorological and time-based features by Sunawar Khan, Tehseen Mazhar, Muhammad Amir Khan, Tariq Shahzad, Wasim Ahmad, Afsha Bibi, Mamoon M. Saeed, Habib Hamam

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Anomaly Detection of Marine Diesel Engines: A Novel Approach using Transformer Neural Networks for Reconstruction and Residual Analysis by Qin Liang, Erik Vanem, Knut Erik Knutsen, Vilmar Æsøy, Houxiang Zhang

“…This approach effectively captures temporal dependencies within normal time-series data, eliminating the need for labeled failure data. …”
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STF: A spherical transformer for versatile cortical surfaces applications by Jiale Cheng, Fenqiang Zhao, Zhengwang Wu, Xinrui Yuan, Li Wang, John H Gilmore, Weili Lin, Xin Zhang, Gang Li

“…The results highlight its potential as a general-purpose framework for cortical surface analysis.…”
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A Predictive Model of the Photosynthetic Rate of Chili Peppers Using Support Vector Regression and Environmental Multi-Factor Analysis by Bin Li, Bo Qiao, Qianyu Zhao, Dan Yang, Rongcheng Zhu, Zhexuan Wang, Yujie Yang

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Annual Runoff Forecasting through Bayesian Causality by Santiago Zazo, Jose-Luis Molina, Carmen Patino-Alonso, Fernando Espejo, Juan Carlos García-Prieto

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The Impact of an Adaptive mHealth Intervention on Improving Patient-Provider Health Care Communication: Secondary Analysis of the DIAMANTE Trial by Lynn Leng, Marvyn R Arévalo Avalos, Adrian Aguilera, Courtney R Lyles

“…After excluding patients who had incomplete or missing baseline or exit surveys, 156 patients were included in this secondary analysis. Overall, there was a substantive but nonsignificant decrease in the average CAHPS score over the 6-month trial period (−2.6; P ConclusionsDigital health interventions are rapidly increasing in clinical practice and have the ability to reach historically underserved communities by overcoming barriers such as language, geography, and time constraints. …”
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Analysis of brain dynamics changes in patients with cerebral small vessel disease-related cognitive impairment based on electroencephalogram microstates by Xin Jin, Yanru Zhou, Diwen Zhang, Xiu Chen, Jianghai Ruan, Dengfu Fang

“…Four microstate prototypes (Ms) were derived, and their temporal characteristics were compared across groups. …”
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Analysis of Gearbox Bearing Fault Diagnosis Method Based on 2D Image Transformation and 2D-RoPE Encoding by Xudong Luo, Minghui Wang, Zhijie Zhang

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Novel Metrics for High-Density sEMG Analysis in the Time–Space Domain During Sustained Isometric Contractions by Giovanni Corvini, Michail Arvanitidis, Deborah Falla, Silvia Conforto

“…By integrating and adapting postural control parameters into a framework for the analysis of myoelectrical activity, new metrics to evaluate muscle fatigue progression were proposed, investigating their ability to predict endurance time. …”
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Differential Dynamics of Transit Use Resilience During the COVID-19 Pandemic Using Multivariate Two-Dimensional Functional Data Analysis by Won Gyun Choi, Seunghee Ryu, Paul H. Jung, Seungmo Kang

“…The approach employed multivariate two-dimensional functional data analysis and a hierarchical clustering method to examine both boarding and alighting patterns, taking into account multi-scalar temporal units, monthly and hourly demand fluctuations. …”
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