Analysis and Discussion of Atmospheric Precursor of European Heat Summers by Christine Träger-Chatterjee, Richard W. Müller, Jörg Bendix

“…The prediction of summers with notable droughts and heatwaves on the seasonal scale is challenging, especially in extratropical regions, since their development is not yet fully understood. …”
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Using EEG technology to enhance performance measurement in physical education by Zhaofeng Zhai, Zhaofeng Zhai, Lu Han, Wei Zhang

“…APEO combines biomechanical modeling, engagement prediction through recurrent neural networks, and reinforcement learning to tailor physical activity interventions. …”
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Recapitulation of previously reported associations for type 2 diabetes and metabolic traits in the 126K East Asians by Ji-Young Choi, Hye-Mi Jang, Sohee Han, Mi Yeong Hwang, Bong-Jo Kim, Young Jin Kim

“…However, previous GWAS were mostly conducted in European populations, and these biased results for non-Europeans may result in a significant reduction in risk prediction for non-Europeans. An issue with the early GWAS was the winner’s curse problem, which led to misleading results when constructing the polygenic risk scores (PRS). …”
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Quality Indexes Design for Online Monitoring Polymer Injection Molding by Jian-Yu Chen, Chien-Chou Tseng, Ming-Shyan Huang

“…Also, various quality indexes for online quality monitoring and prediction purposes based on the pressure, viscosity, and energy features extracted from the pressure profiles obtained at the load cell, nozzle, and molding cavity, respectively, are compared. …”
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Pore Structure and Permeability Variations during Gas Displacement in Unconsolidated Sandstone Reservoirs through CT Reconstruction Analysis by Yuqiang Zha, Bao Cao, Fengying Li, Qing Ye, Shaopeng Zhu, Wei Zhou, Runfu Xiong

“…These investigations will contribute to more accurate reserve evaluation and productivity prediction.…”
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Investigating the Relationship between Screen Time and Green Time with Academic Engagement and Academic Performance by Davod Ghaderi, Omid Ebrahimi Shahed

“…Objective: This study investigated the relationship between screen time and green time with academic engagement and academic performance of secondary school students in Tabriz city.Methods: The present study was part of cross-sectional and descriptive studies of the correlation and prediction type. Three hundred eighty-five people from Tabriz secondary school students were selected in the first semester of the 2022-2023 academic year by multi-stage cluster sampling based on Morgan's table. …”
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Natural Frequencies and Modal Damping Ratios Identification of Civil Structures from Ambient Vibration Data by Minh-Nghi Ta, Joseph Lardiès, Berthillier Marc

“…Damping is a mechanism that dissipates vibration energy in dynamic systems and plays a key role in dynamic response prediction, vibration control as well as in structural health monitoring during service. …”
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SPECT and PET Imaging of Meningiomas by Varvara Valotassiou, Anastasia Leondi, George Angelidis, Dimitrios Psimadas, Panagiotis Georgoulias

“…Therefore, SPECT and PET imaging could be used for the preoperative noninvasive diagnosis and differential diagnosis of meningiomas, prediction of tumor grade and tumor recurrence, response to treatment, target volume delineation for radiation therapy planning, and distinction between residual or recurrent tumour from scar tissue.…”
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Multifeature Short-Term Power Load Forecasting Based on GCN-LSTM by Houhe Chen, Mingyang Zhu, Xiao Hu, Jiarui Wang, Yong Sun, Jinduo Yang, Baoju Li, Xiangdong Meng

“…Secondly, GCN and LSTM are jointly used to extract the spatial and temporal characteristics of massive data, respectively, and finally achieve short-term power load prediction. Historical electrical load data from 2020 to 2022 public data of a real industrial park in southern China were selected to verify the validity of the proposed method from the aspects of forecasting accuracy, feature dimension, and training time.…”
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Discussion on Optimization of Public Transportation Network Setting considering Three-State Reliability by Zhang Xiaoliang, Jia Limin

“…Through the work flow of “evaluation, calibration, and verification,” the network balance optimization model is used to get the bus travel allocation prediction model. In this paper, the optimization problem of public transit network is studied from the point of view of the reliability of public transit network. …”
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Structural information in therapeutic peptides: Emerging applications in biomedicine by Valentín Iglesias, Oriol Bárcenas, Carlos Pintado‐Grima, Michał Burdukiewicz, Salvador Ventura

“…Recent advances in peptide structure prediction have successfully addressed the scarcity of confidently determined peptide structures. …”
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Model Construction and Performance Degradation Characteristics of a Deflector Jet Pressure Servo Valve under the Condition of Oil Contamination by Yuanbo Chu, Zhaohui Yuan, Xuegong He, Zhichao Dong

“…Finally, combining the theoretical analysis with multiphysics simulation correction methods, the performance degradation model of the typical failure modes are established, and then, the performance degradation characteristics under dynamic contamination conditions are analyzed, which is combined with the failure threshold determined by the dynamics simulation to finish the service life prediction of the deflector jet servo valve.…”
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Detection of UAV GPS Spoofing Attacks Using a Stacked Ensemble Method by Ting Ma, Xiaofeng Zhang, Zhexin Miao

“…The stacked model employs XGBoost as the base learner, which is optimized through five-fold cross-validation, and utilizes logistic regression for the final prediction. Furthermore, we incorporated magnetic field data to enhance the system’s robustness, thereby further improving the accuracy and reliability of GPS spoofing attack detection. …”
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Using machine learning to forecast peak health care service demand in real-time during the 2022-23 winter season: A pilot in England, UK. by Roger A Morbey, Dan Todkill, Phil Moura, Liam Tollinton, Andre Charlett, Conall Watson, Alex J Elliot

“…Forecast uncertainty was modelled usings a novel generalised additive model for location, scale and shape (gamlss) approach which enabled prediction intervals to vary according to the level of the forecast activity. …”
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Recent Advances in Dimensionality Reduction Modeling and Multistability Reconstitution of Memristive Circuit by Yunzhen Zhang, Yuan Ping, Zhili Zhang, Guangzhe Zhao

“…The dimensionality reduction modeling for a memristive circuit is carried out to realize accurate prediction, quantitative analysis, and physical control of its multistability, which has become one of the hottest research topics in the field of information science. …”
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Soil Carbon Characteristics of a Fluvisol Affected by Aggregates from Two Tillage and Crop Regimes by Emmanuel Onweremadu, Frank Akamigbo, Chigozie Asiabaka

“…Aggregate size distribution was significantly (P < 0.05) influenced by tillage and crop type at 0 – 10 cm depth and soil carbon varied significantly (P < 0.05) with aggregate–size forms, tillage technique and crop species. Prediction of carbon behaviour in floodplain soils should take into consideration variability in ped forms, tillage method and crop types. …”
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Unsteady Aerodynamic Modeling Based on POD-ARX by Xiaopeng Wang, Chen’an Zhang, Wen Liu, Famin Wang, Zhengyin Ye

“…Then, the ARX model is used to predict the modal coefficients of the system response to the validation signal. …”
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Modeling Drivers’ Stopping Behaviors during Yellow Intervals at Intersections considering Group Heterogeneity by Juan Li, Hui Zhang, Yanru Zhang, Xuan Zhang

“…The results show that log-logistic based frailty model with age as a grouping variable has the best goodness of fit and prediction accuracy. Analysis of the models’ parameters indicates that phone status, maximum deceleration, vehicles’ speed, and the distance to stopping line at the onset of the yellow signal have significant impacts on stopping time. …”
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DR_PVNet: An Improved PVNet Network for Weakly Textured Object Pose Estimation in Indoor Complex Environments by Mengru Niu, Changyong Li

“…PVNet locates the 2D keypoints by obtaining the segmentation results of the object and the prediction results of the dense unit vector field of the keypoints, followed by a voting strategy. …”
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Metabolomics and Type 2 Diabetes: Translating Basic Research into Clinical Application by Matthias S. Klein, Jane Shearer

“…In contrast, glycine levels and lysophosphatidylcholine C18:2 are depressed in both predictive studies and with overt disease. The use of metabolomics for predicting T2D comorbidities is gaining momentum, as are our approaches for translating basic metabolomics research into clinical applications. …”
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