Adverse childhood experiences: terms, concepts, and study methods by Diana S. Shumskaia, Anna V. Trusova, Alexander O. Kibitov

“…We discuss the definitions and phenomenology of the ACE, the specificity and features of some of the methodological approaches to measuring ACE, and various approaches to using ACE to build predictive models.To summarize, research on ACE and its consequences is actively developing: earlier studies' data are being corrected and clarified, methods of detecting and grading ACE are being improved, and ways of forecasting the consequences of ACE in adulthood are being improved. …”
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RESEARCH STATUS OF SMART ROLLING BEARING MONITORING METHODS by CHEN JinHai, LI Wei, ZHANG WenYuan, WANG Heng

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Ground Based Cloud Recognition with an Anchor Free Method by LI Yichao, GUO Rui, ZHANG Shaodi, SHOU Zefeng, CHEN Jing, LIU Yifei

“…In order to solve the problems of cloud type recognition of the ground-based cloud such as complex target candidate box selection and slow detection speed, a recognition method of cloud types in ground-based cloud map based on anchor free is proposed.First, the paper takes Center Net as the basic architecture of cloud type recognition.Based on thermodynamic diagrams prediction, key point prediction, center point prediction and candidate box prediction, a anchor free ground-based cloud type detection process is constructed.And then, the main network, loss function and candidate box prediction method of cloud type recognition model are designed.Finally, take CenterNet Resdcn101 as the model, compared the algorithm recognition accuracy, candidate boxes predict confidence and identify speed with mainstream target recognition methods and cloud type recognition method The results showed that the cloud type recognition method of the paper has higher recognition accuracy and faster recognition speed.…”
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Defly Compass Trend Analysis Methodology: Quantifying Trend Detection to Improve Foresight in Strategic Decision Making by Mabel López Bordao, Antonia Ferrer Sapena, Carlos A. Reyes Pérez, Enrique A. Sánchez Pérez

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The Statistical Detecting of Sulfur Hexafluoride and Nitrous Oxide Effect on Seasonal Rainfalls in Iran During Recent Decade by Yosef Ghavidel Rahimi, Maysam Tolabi Nejad, Manochehr Farajzadeh

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Linking Critical Heights in Solar Active Regions with 3D Coronal Mass Ejection Speeds: Insights from Automated and Manual Polarity Inversion Line Detection Methods by Harshita Gandhi, Alexander W James, Huw Morgan, Lucie Green

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Earthquake Prediction and Alert System Using IoT Infrastructure and Cloud-Based Environmental Data Analysis by Cosmina-Mihaela Rosca, Adrian Stancu

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AI Methods for New Psychoactive Substance (NPS) Design and Analysis by Enrico Greco

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Non-Intrusive Monitoring and Detection of Mobility Loss in Older Adults Using Binary Sensors by Ioan Susnea, Emilia Pecheanu, Adina Cocu, Adrian Istrate, Catalin Anghel, Paul Iacobescu

“…Clinical mobility assessment methods, though precise, are resource-intensive and economically impractical, and most of the existing solutions for automatic detection of mobility anomalies are either obtrusive or improper for long time monitoring. …”
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Application of QVP Method to Winter Precipitation Observation Based on Polarimetric Radar by Guan Li, Dai Jianhua, Tao Lan, Yin Chunguang, Meng Fanwang

“…Using polarimetric radars in conjunction with thermodynamic information is a promising way for better winter precipitation detection. To explore the microphysical characteristic and the internal structure of winter precipitation over eastern coast of China, the data collected by the WSR-88D polarimetric radar at Nanhui, Shanghai are exploited by the quasi-vertical profile (QVP) method. …”
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WHY WE CANNOT PREDICT STRONG EARTHQUAKES IN THE EARTH’S CRUST by Iosif L. Gufeld, Margarita I. Matveeva, Oleg N. Novoselov

“…It is demonstrated that the conventional methods yield ambiguous assessments of seismic hazard both in terms of time and locations of epicenter zones, and focal areas of subduction zones are out of control in principle. …”
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Segmentation of Energy Consumption Using K-Means: Applications in Tariffing, Outlier Detection, and Demand Prediction in Non-Smart Metering Systems by Darío Muyulema-Masaquiza, Manuel Ayala-Chauvin

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Sea Clutter Suppression Method Based on Ocean Dynamics Using the WRF Model by Guigeng Li, Zhaoqiang Wei, Yujie Chen, Xiaoxia Meng, Hao Zhang

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Experiments on the application of the infrasound method of remote monitoring of snow avalanches in the Khibiny Mountains by A. V. Fedorov, I. S. Fedorov, V. E. Asming, A. Yu. Motorin

“…Visual slope observations are still the main method of avalanche detection. As a result, avalanche statistics, especially in remote mountain areas, remain incomplete. …”
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Structural health monitoring and evaluation method for an immersed tunnel based on deep learning by Yuhang Wei, Jinfang Hou, Linhu Yang, Bin Li, Zonghao Ma, Zhao Liu, Wenhao Sun, Binlei Wang

“…Abstract The health monitoring of the subsea-immersed tunnels is essential for the early detection of anomalies and the assurance of their long-term operational safety. …”
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A Deep Learning Method for Automatic Coronal Mass Ejection Feature Identification by P. Yang, H. S. Fu, J. B. Cao, F. Shen

“…Quantitative evaluations demonstrate that the proposed method performs well in metrics such as pixel accuracy, recall, F _1 score, and IoU. …”
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Establishment and preliminary application of PCR-RFLP genotyping method for Giardia duodenalis in goats by Xuanru Mu, Jianchao Guo, Hongcai Wang, Yilong Li, Kaijian Yuan, Hui Xu, Wenjing Zeng, Qiaoyu Li, Xingang Yu, Yang Hong

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Hybrid Time Series Methods and Machine Learning for Seismic Analysis and Volcano Eruption Predict by Fridy Mandita, Ahmad Ashari, Moh. Edi Wibowo, Wiwit Suryanto

“…Ultimately, the method enhances hybrid methods and machine learning for seismic event analysis and volcano monitoring.   …”
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Research on Long-Distance Snow Depth Measurement Method Based on Improved YOLOv8 by Jia-Wen Wang, Yu Cao, Zong-Kai Guo, Cheng Xu

“…To address these issues, this paper proposes a snow depth detection method based on an improved YOLOv8-seg model, named YOLOv8-AE. …”
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Optimization Method for Transit Signal Priority considering Multirequest under Connected Vehicle Environment by Song Xianmin, Yuan Mili, Liang Di, Ma Lin

“…Aiming at reducing per person delay, this paper presents an optimization method for Transit Signal Priority (TSP) considering multirequest under connected vehicle environment, which is based on the travel time prediction model. …”
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