A Comparison of Pitching Biomechanics and Sport Specialization in High School Pitchers by Tyler J. Hamer, Adam B. Rosen, Samuel J. Wilkins, Kristen F. Nicholson, Garrett S. Bullock, Brian A. Knarr

“…Further research should examine the relationship between pitching biomechanics, upper extremity strength and flexibility, and sport specialization…”
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Wind turbine blade damage detection based on acoustic signals by Chenchen Yang, Shaohu Ding, Guangsheng Zhou

“…Considering the computational challenges of spectral subtraction under extreme noise intensities, a pretrained sound source separation neural network was used to distinguish between random wind noise and mechanical noise in wind turbine sound signals. …”
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Development of an interpretable machine learning model based on CT radiomics for the prediction of post acute pancreatitis diabetes mellitus by Xiyao Wan, Yuan Wang, Ziyi Liu, Ziyan Liu, Shuting Zhong, Xiaohua Huang

“…The radiomics model was developed based on the optimal features retained after dimensionality reduction, utilizing the extreme gradient boosting (XGBoost) algorithm. Five-fold cross-validation of the model was used to assess the performance of the model in the training and testing cohorts. …”
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The effects of age and other individual factors on radiation induced ESR signals from fingernails by Samayeh Azariasl, Samayeh Azariasl, Samayeh Azariasl, Hiroshi Yasuda, Hiroshi Yasuda

“…The purpose of this study was to explore inter-individual differences in ESR signals in fingernails to improve the accuracy and reliability of extremity dosimetry. Fingernail samples were collected from 15 participants (age: 11–64 years), irradiated with X-rays (160 kV, 6.3 mA) at 0, 5, 10, and 20 Gy, and measured using ESR spectroscopy. …”
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Respirable Particles and Gas Contaminants Emissions from a Desktop Laser Cutter and Engraver by Kevin O’Neill, Xinyi Niu, Jun Wang, Runcheng Fang

“…Cardboard consistently exhibited the highest concentration of respirable particulate matter of 253.9 ± 47.6 mg m–3 and an average emission rate of sub-half-micron particles of 5.8 × 1010 # min–1, characterized by the smallest geometric mean diameter of 53 nm in the absence of ventilation. The extremely high emission highlighted the potential of ultrafine particle exposures and health risks from cutting cardboard. …”
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CLINICAL CHARACTERISTICS OF DEBUT AND RISK FACTORS OF PEDIATRIC MULTIPLE SCLEROSIS by Валерий Иванович Ларькин, Игорь Иванович Ларькин, Татьяна Аркадьевна Морозова, Степан Евгеньевич Аполлонов

“…The most common reasons for referral: optic neuritis (50 %), sensory disorders (45 %) and decreased muscle strength in the extremities (45 %). Ataxia was detected during examination in 45 %. …”
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A Method for Quantifying Automobile Brake Creep Groan Intensity Based on Friction-Induced Vibration and Noise by Lijun Zhang, Jianfeng Wu, Dejian Meng

“…One of the creep groan vibration modes is triggered by the rapid removal of the force exerted on the brake pedal when the vehicle starts at an extremely low speed, which presents intermittent impact and chaotic characteristics. …”
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Effects of COVID-19 Emergency Response Levels on Air Quality in the Guangdong-Hong Kong-Macao Greater Bay Area, China by Jie Li, Haotian Yang, Shuping Zha, Nu Yu, Xingang Liu, Ruofei Sun

“…Abstract The COVID-19 pandemic has affected air quality due to extreme changes in human behavior. We assessed the air quality response to different emergency levels during different COVID-19 periods and the naught period in the Guangdong-Hong Kong-Macao Greater Bay Area (GBA). …”
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Massive Spontaneous Hemothorax as a Complication of Apixaban Treatment by M. Abu Hishmeh, P. Srivastava, Q. Lougheide, M. Srinivasan, S. Murthy

“…A 56-year-old woman with end-stage renal disease (ESRD) was diagnosed with upper extremity deep vein thrombosis (DVT) one month prior to presentation and was started on apixaban presented with dyspnea and left-sided pleuritic chest pain for two weeks. …”
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Forensic Admissions of Geriatric Patients to the Emergency Department and Short-Term Mortality Rates by Secdegül Coşkun Yaş, Mehmet Ali Aslaner, Fikret Bildik

“…Soft tissue injuries were the most common type of injury, followed by extremity fractures. Logistic regression analysis showed that age [odds ratio (OR): 1.095; 95% confidence interval (CI): 1.027-1.169], GCS (OR: 0.655; 95% CI: 0.560-0.765), number of consultations (OR: 1.840; 95% CI: 1.312-2.581), and pedestrian accidents (OR: 0.052; 95% CI: 0.006-0.460) were significantly associated with 1-month mortality. …”
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Research on the Rapid Detection of Formaldehyde Emission From Wood-Based Panels Based on the AMSHKELM by Yinuo Wang, Huanqi Zheng, Hua Wang, Yucheng Zhou

“…The multi-strategy improved black-winged kite algorithm then optimizes key parameters of the successive variational mode decomposition (SVMD) and hybrid kernel extreme learning machine (HKELM). In addition, adaptive boosting is introduced to further improve the accuracy and robustness of the model. …”
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A review based study on emotional distress and physical pain in oral and head and neck cancer patients pre- and post-chemotherapy by Sanya Mehndiratta, Ravindra Singh, Saanjli Bhandari, Mansha Dadhich

“…The study revealed that cancer patients who have tolerated physical pain and witnessed the long-term treatment of the process of chemotherapy experience extremely high emotional distress throughout the course. …”
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A Rare Case of Large-Vessel Vasculitis following Checkpoint Inhibitor Therapy and Pegfilgrastim by Joseph Mort, Shipra Maheshwari, Nayanika Basu, Patrick Dillon, Kevin Brady, Harry Bear, Trish Millard

“…These findings were extremely concerning for large-vessel vasculitis. Excluding CPI therapy and pegfilgrastim use, no additional inciting event or medication that the patient was exposed to was noted to be associated with large-vessel vasculitis. …”
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A Novel Ensemble Classifier Selection Method for Software Defect Prediction by Xin Dong, Jie Wang, Yan Liang

“…The experimental results demonstrate that the DFD ensemble learning-based software defect prediction model outperforms the ten other models, including five common machine learning (ML) classification algorithms (logistic regression (LR), naïve Bayes (NB), K-nearest neighbor (KNN), decision tree (DT), and support vector machine (SVM)), two deep learning (DL) algorithms (multi-layer perceptron (MLP) and convolutional neural network (CNN)), and three ensemble learning algorithms (random forest (RF), extreme gradient boosting (XGB), and stacking). The DFD model achieves superior performance on eight public NASA and PROMISE datasets (six of which are imbalanced) across five performance indicators, including area under the curve (AUC), geometric mean (G-Mean), F1 score, Matthews correlation coefficient (MCC), and Balance. …”
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Temperature and Temperature Stress Analysis in Mass Concrete under Cold Environments of Strong Wind and Large Diurnal Temperature Range by Guoqing Wang, Meng He, Canjun Zhou, Wen Xie, Xinglin Liu, Jin Chen, Hua Liu, Bingbing Lei, Mingli Zhang

“…The study will further guide the improvement and optimization of mass concrete construction in an extreme environment.…”
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Forest Fire Discrimination Based on Angle Slope Index and Himawari-8 by Pingbo Liu, Gui Zhang

“…In the background of high frequency and intensity forest fires driven by future warming and a drying climate, early detection and effective control of fires are extremely important to reduce losses. Meteorological satellite imagery is commonly used for near-real-time forest fire monitoring, thanks to its high temporal resolution. …”
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Fine-Grained Building Classification in Rural Areas Based on GF-7 Data by Mingbo Liu, Ping Wang, Peng Han, Longfei Liu, Baotian Li

“…In the supervised classification stage, we compared different classification models, including Extreme Gradient Boosting (XGBoost) and Random Forest classifiers. …”
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Vitreous Decompression Combined with Phacoemulsification for Medically Unresponsive Acute Angle Closure by Xiaoli Xiang, Yuan Chen, Jinyu Wang, Zhengru Huang, Zheng Gu

“…The management of acute angle closure combined with an extremely shallow anterior chamber and cataract remains complex. …”
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Research Progress of Common Rehabilitation Training Methods in Mild Cognitive Impairment by WANG Yiyuan, FAN Chenyu, WANG Nianhong, WU Yi

“…Drug treatment is now the primary approach for MCI, but long-term drug treatment can lead to strong addictive tendencies and produce toxic side effects. Therefore, it is extremely urgent to explore effective rehabilitation training methods. …”
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Predicting Compressive Strength of Concrete Containing Industrial Waste Materials: Novel and Hybrid Machine Learning Model by Mohammed Majeed Hameed, Mustafa Abbas Abed, Nadhir Al-Ansari, Mohamed Khalid Alomar

“…The suggested models are evaluated against extreme learning machine (ELM) via quantitative and visual evaluations. …”
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