Changements côtiers et inondations suite au passage d’un ouragan extrême (Irma, 2017) aux Petites Antilles by Tony Rey, Thomas Candela, Matthieu Péroche, Frédéric Leone

“…This study deals with the coastal changes, flooding and damage after the passage of a category 5 hurricane (Irma) on 6 September 2017 over the islands of Saint-Martin and Saint-Barthélemy in the Lesser Antilles. …”
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Regional irreversibility of mean and extreme surface air temperature and precipitation in CMIP6 overshoot scenarios associated with interhemispheric temperature asymmetries by P. J. Roldán-Gómez, P. De Luca, R. Bernardello, M. G. Donat, M. G. Donat

“…Results show that irreversibility of temperature and precipitation extremes is mainly caused by the transitions around the global temperature maximum, when a decoupling between regional extremes and global temperature generates persistent changes at regional level.…”
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Non-Stationary Extreme Runoff Prediction Model of Snowmelt Flood in Flood Season Based on VMD-NGO-LSTM and Its Application by ZHOU Xia, ZHOU Feng

“…Jingou River is a typical snowmelt recharge basin. Due to the influence of natural environments, climate changes, and human activities, the extreme runoff sequence in flood season shows non-stationary and complex characteristics, which brings new challenges to the accurate prediction of extreme runoff of the basin in flood season. …”
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Isokinetic Assessment of Knee Flexor and Extensor Strength and Lower Extremity Flexibility Assessment of an NCAA Division III Men’s Soccer Team by Savanna Perkins, Paul Canavan

“…# Background Strength imbalances and flexibility deficits of the hamstrings and hip flexors have been identified as potential risk factors for hamstring injuries, but research on athletes at the Division III level are limited, potentially due to a lack of resources and technology. # Purpose The purpose of this study was to conduct isokinetic and flexibility assessments to screen male soccer athletes at risk of sustaining a hamstring injury…”
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AgroClimate Crop Season Planning Tool: Reducing the Risk of Extreme Weather Events during Key Stages of Crop Development by Caroline G. Staub, Daniel Perondi, Diego Noleto Luz Pequeno, Patrick Troy, Michael J. Mulvaney, Calvin Perry, Brian Hayes, Willingthon Pavan, Clyde W. Fraisse

“…The Crop Season Planning tool is a climate-based tool that enables growers to plan planting strategies that will minimize risk to climate extremes based on historical climate data at their location. …”
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The effects of acute exercise applied to the lower extremity with blood flow restriction on perceived exertion, blood lactate level and cardiovascular responses by Seda Yalcin

“…In 90% of their 1 Repeat maximum (RM)’s, they performed the squat exercise for a total of six sets, with two repetitions in each set and a 3-minute rest interval between sets. …”
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Prediction of Ship Traffic Flow and Congestion Based on Extreme Learning Machine with Whale Optimization Algorithm and Fuzzy c-Means Clustering by Yongjun Chen, Ming Huang, Kaixuan Song, Tengfei Wang

“…Accurately predicting short-term congestions in ship traffic flow is important for water traffic safety and intelligent shipping. We propose a method for predicting the traffic flow of ships by applying the whale optimization algorithm to an extreme learning machine. …”
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Wheel/Rail Adhesion State Identification of Heavy-Haul Locomotive Based on Particle Swarm Optimization and Kernel Extreme Learning Machine by Jianhua Liu, Linfan Liu, Jing He, Changfan Zhang, Kaihui Zhao

“…According to the influence of wheel/rail adhesion utilization on locomotive control action, the wheel/rail adhesion states are divided into four types, namely normal adhesion, fault indication, minor fault, and serious fault in this work. A wheel/rail adhesion state identification method based on particle swarm optimization (PSO) and kernel extreme learning machine (KELM) is proposed. …”
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Achieving high strength, plasticity and conductivity in Cu/Cu-graphene oxide laminated composites with extremely low content of graphene oxide by Yan Zhao, Jiajing Liu, Yubo Zhang, Xin Sun, Wei Wang, Tingju Li

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Impacts of Sea Surface Temperature and Atmospheric Teleconnection Patterns in the Northern Mid-Latitudes on Winter Extremely Cold Events in North China by Liping Li, Wenjie Ni, Yige Li, Dong Guo, Hui Gao

“…The results show that (1) the frequency of single station ECEs (SSECEs) in winter increases from southeast to northwest, with a decrease before 2008 and then a significant increase. …”
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Measuring the Effect of Vision on the Synergy of Lower Extremity Muscles during Walking using Nonnegative Matrix Factorization (NNMF) Algorithm Method by Nasim Safari, Mahboubeh Alemzadeh, Mahdi Majlesi, Nader Farahpour, Muharram Mansoorizadeh

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Total Organic Carbon Content Prediction in Lacustrine Shale Using Extreme Gradient Boosting Machine Learning Based on Bayesian Optimization by Xingzhou Liu, Zhi Tian, Chang Chen

“…However, common TOC prediction methods rely on empirical formulas, and their applicability varies widely from region to region. In this study, a novel data-driven Bayesian optimization extreme gradient boosting (XGBoost) model was proposed to predict the TOC content using wireline log data. …”
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AgroClimate Crop Season Planning Tool: Reducing the Risk of Extreme Weather Events during Key Stages of Crop Development by Caroline G. Staub, Daniel Perondi, Diego Noleto Luz Pequeno, Patrick Troy, Michael J. Mulvaney, Calvin Perry, Brian Hayes, Willingthon Pavan, Clyde W. Fraisse

“…The Crop Season Planning tool is a climate-based tool that enables growers to plan planting strategies that will minimize risk to climate extremes based on historical climate data at their location. …”
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Shoulder Strength and Closed Kinetic Chain Upper Extremity Stability Test Performance in Division III Collegiate Baseball and Softball Players. by David T. Schilling, Ashraf M. Elazzazi

“…# Background Shoulder strength measured with a handheld dynamometer (HHD) and the Closed Kinetic Chain Upper Extremity Stability Test (CKCUEST) are clinical tools that have been used to measure athlete’s performance and track their progress…”
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Climate Change Impact on the Trigger of Natural Disasters over South-Eastern Himalayas Foothill Region of Myanmar: Extreme Rainfall Analysis by Kyaw Than Oo, Chen Haishan, Kazora Jonah

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Improving wheat yield prediction through variable selection using Support Vector Regression, Random Forest, and Extreme Gradient Boosting by Juan Carlos Moreno Sánchez, Héctor Gabriel Acosta Mesa, Adrián Trueba Espinosa, Sergio Ruiz Castilla, Farid García Lamont

“…This study uses these data to develop a wheat grain yield (GY) prediction model, using machine learning techniques such as Random Forest (RF), Support Vector Regression (SVR), and Extreme Gradient Boosting (XGBoost). …”
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Temporal Trends and Spatial Patterns of Temperature and Its Extremes over the Beijing-Tianjin Sand Source Region (1960–2014), China by Wei Wei, Baitian Wang, Kebin Zhang, Zhongjie Shi, Genbatu Ge, Xiaohui Yang

“…All extreme temperature indices showed warming trends at most stations; a higher warming slope in extreme temperature mainly occurred along the northeast border and northwest border and in the central-southern mountain area. …”
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Therapeutic Effect of Upper Limb Intelligent Rehabilitation Robot and Routine Rehabilitation Combination on Upper Extremities'Motor Function of Stroke Patients by Dongyan XU, Rujin TIAN, Jue LIU, Gang LIU, Yulian ZHU

“…Objective:To observe the therapeutic effect of upper limb intelligent rehabilitation robot and routine rehabilitation combination on upper extremities'motor function of stroke patients.Methods:30 stroke patients accorded with inclusive criteria were selected, all patients received routine rehabilitation for two weeds, each time for twenty minutes, once a day and five days each week. …”
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Dual-positive gastric cancer: an extremely malignant subtype of gastric cancer with high serum alpha-fetoprotein and carcinoembryonic antigen concentrations by Weixun Xie, Chengyu Hu, Hongming Liu, Zelai Wu, Bixian Luo, Xiaoying Wu, Xiaoying Wu, Chuanlei Tuo, Ziyin Deng, Han Liang, Yong Liu, Weihua Gong, Weihua Gong

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Evaluation of magnetic resonance thermometry performance during MR-guided hyperthermia treatment of soft-tissue sarcomas in the lower extremities and pelvis by Spyridon N. Karkavitsas, Marianne Göger-Neff, Maria Kawula, Kemal Sumser, Benjamin Zilles, Martin Wadepohl, Guillaume Landry, Christopher Kurz, Wolfgang G. Kunz, Olaf Dietrich, Lars H. Lindner, Margarethus M. Paulides

“…Introduction This study evaluated the performance of magnetic resonance thermometry (MRT) during deep-regional hyperthermia (HT) in pelvic and lower-extremity soft-tissue sarcomas.Materials and methods 17 pelvic (45 treatments) and 16 lower-extremity (42 treatments) patients underwent standard regional HT and chemotherapy. …”
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