Non-Operative Management with Angioembolization of Grade IV and V Renal Injuries in a Hybrid Emergency Room System by So Ra Ahn, Sang Hyun Seo, Joo Hyun Lee, Chan Yong Park

“…Renal injuries occur in more than 10% of patients who sustain blunt abdominal injuries. …”
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Enhanced deep deterministic policy gradient algorithm by Jianping CHEN, Chao HE, Quan LIU, Hongjie WU, Fuyuan HU, Qiming FU

“…With the problem of slow convergence for deep deterministic policy gradient algorithm,an enhanced deep deterministic policy gradient algorithm was proposed.Based on the deep deterministic policy gradient algorithm,two sample pools were constructed,and the time difference error was introduced.The priority samples were added when the experience was played back.When the samples were trained,the samples were selected from two sample pools respectively.At the same time,the bisimulation metric was introduced to ensure the diversity of the selected samples and improve the convergence rate of the algorithm.The E-DDPG algorithm was used to pendulum problem.The experimental results show that the E-DDPG algorithm can effectively improve the convergence performance of the continuous action space problems and have better stability.…”
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Cost-Effectiveness of Life Cycle Cost Theory-Based Large Medical Equipment by Xiaoyi Chang, Yongqiang Zhao, Yuebin Li, Ting Bai, Jungang Gao, Chao Zhao

“…The results show that the Revolution 256 row has the highest revenue of 113.29%. The annual depreciation of Signa 3.0 T HDxt is the highest, amounting to 4,160,000 yuan. …”
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Enantioselective Heck/Tsuji−Trost reaction of flexible vinylic halides with 1,3-dienes by Li-Zhi Zhang, Pei-Chao Zhang, Qian Wang, Min Zhou, Junliang Zhang

“…Abstract The enantioselective domino Heck/cross-coupling has emerged as a powerful tool in modern chemical synthesis for decades. …”
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MtCro: multi-task deep learning framework improves multi-trait genomic prediction of crops by Dian Chao, Hao Wang, Fengqiang Wan, Shen Yan, Wei Fang, Yang Yang

“…Abstract Genomic Selection (GS) predicts traits using genome-wide markers, speeding up genetic progress and enhancing breeding efficiency. Recent emphasis has been placed on deep learning models to enhance prediction accuracy. …”
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Experimental Study on Measurement of Drag Coefficient of Sandy Soil Nonlinear Vadose by Yu-ping Xu, Jing-yuan Liu, Xiu-wei Chai, Sha-sha Shi

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Analysis of Multifrequency GNSS Signals and an Improved Single-Epoch RTK Method for Medium-Long Baseline by Jian Chen, Jiahui Wang, Kaikun Zhang, Wei Duan, Xingwang Zhao, Chao Liu

“…In recent years, the quantity of visible satellites has increased significantly due to multiple satellite systems that leaped forward. …”
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Characteristics of Traffic Accidents on Highways: An Analysis Based on Patients Treated at a Regional Trauma Center by Sung Yong Lee, Kyung Hoon Sun, Chan Yong Park, Tae Hoon Kim

“…Purpose There have been increasing concerns about serious traffic accidents on highways. …”
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The systematic analysis of genes related to butyrate metabolism suggests that CDKN3 could serve as a promising therapeutic target for lung adenocarcinoma treatment by Yanchao Luan, Chao Liang, Qingsong Han, Xueqin Zhou, Na Yang, li Zhao

“…An important correlation exists between risk ratings and immunological checkpoints, which can be utilized to forecast the efficacy of treatment. …”
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Seismic Performance of Modular Structures with Novel Steel Frame: Light Gauge Slotted Steel Stud Walls by Chao Gong, Dawei Sun, Qixian Chen, Yong Zhu, Mingxu Shang, Faqi Liu

“…Meanwhile, steel frame-light gauge slotted steel stud (LGSS) walls have been considered to be assembled into the modules due to their excellent thermal- and sound-insulation properties. …”
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Research of Vibration and Noise Analysis Method of High-speed Gear for Electric Vehicle by Ruixin Wang, Chao Yang, Jinfeng Li, Yu Gong, Hongqi Liu, Jingcai Zhang

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Time-frequency analysis of freqency-hopping signals based on sparse recovery by Zhi-chao SHA, Zhi-tao HUANG, Yi-yu ZHOU, Jun-hua WANG

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Hierarchical micro-blog sentiment classification based on feature fusion by Xianying ZHU, Zhen LIU, Wei JIN, Tingting LIU, Cuijuan LIU, Yanjie CHAI

“…Sentiment classification is an important issue of opinion mining.It has a high application value to classify sentiment in micro-blogs.As traditional feature selection method has semantic gap,a neural network language model was used to propose a deep feature representation method based on probability model to distribute weight to the word vector.Using this method,text semantic vector could be built.In order to avoid the semantic gap,the deep features and shallow features of text were integrated and feature vector that contained semantic information was constructed.With SVM hierarchical classification model,a variety of sentiments could be classified.Experimental results show that the hierarchical sentiment classification method based on feature fusion can improve the accuracy of sentiment classification in micro-blogs.…”
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Truck-Lifting Prevention System Based on Vision Tracking for Container-Lifting Operation by Qingfeng Huang, Yage Huang, Zhiwei Zhang, Yujie Zhang, Weijian Mi, Chao Mi

“…The hardware device of this system is easy to install and has good versatility for most container-lifting equipment. …”
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Mechanism and Kinematics for Flapping Wing Micro Air Vehicles Maneuvering Based on Bilateral Wings by Rui Zhang, Haiyang Zhang, Lichao Xu, Peng Xie, Jing Wu, Chao Wang

“…With the development and application of a bionic flapping micro aircraft vehicle (FMAV), further requirements for its high maneuvering flight characteristics have been put forward. …”
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OPTIMIZATION OF INERTIAL NAVIGATION DAMPING SYSTEM BASED ON SENSITIVITY ANALYSIS by WANG Ping, ZHANG GuangPeng, WEI Fei, LV Bing, LIANG ZhiChao

“…The vibration environment of an inertial navigation system（ INS） can bring an adverse effect on its measurement accuracy. …”
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From gut to liver: Exploring the crosstalk between gut-liver axis and oxidative stress in metabolic dysfunction-associated steatotic liver disease by Mi Zhou, Jianyu Lv, Xinli Chen, Yujie Shi, Guanqun Chao, Shuo Zhang

“…As our comprehension of MASLD deepens, it has become evident that this condition extends beyond the liver, embodying a complex, multi-systemic disease with hepatic manifestations that mirror the broader metabolic landscape. …”
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Meta Analysis on Rehabilitation Effect of Proprioception Training on Ankle Sprainof Athletes by Yuxiao CHEN, Jiaojiao LIU, Changsong Yi, Mengguang CHAI, Qing WANG, Lei JIANG

“…Objective:To explore the effects of proprioception training on the incidence of athletes' ankle sprains, dynamic neuromuscular control, postural stability and joint position perception.Methods:Data were searched from the databases of PubMed, Cochrane Library, EMbase, China National Knowledge Infrastructure(CNKI), Wanfang Database(Wangfang Data), Chinese Journal Full-text Database(VIP), China Biomedical Literature Database(CBMdisc).Athletes were included in the randomized controlled trials(RCTs)who were treated with proprioception training to improve the function of athlete's ankle joint.The retrieval time for each database was from the establishment of the database to December 31, 2019, and the references of related documents were traced.Two researchers independently searchered the literature, extracted data, and evaluated the quality of the literature.RevMan5.3 software was used to analyze the data.According to the systematic review manual provided by the Cochrane Collaboration Network, the continuous variables use mean difference(<italic>MD</italic>)and 95%confidence interval(<italic>CI</italic>)as indicators, and binary variables use risk ratio(RR)and 95%<italic>CI</italic> as indicators.The statistical heterogeneity was judged comprehensively by chi-square test(χ²test)and the Heterogeneity test(<italic>I</italic>²test).If <italic>P</italic>≥0.1 and <italic>I</italic>²≤50%, a fixed effects model would be used.In contrast, if <italic>P</italic>&lt;0.1 or <italic>I</italic>²&gt;50%, a random effects model would be used.Results:A total of 11 RCTs and 1 776 athletes were included.The results of Meta analysis showed that compared with the control group, the incidence of ankle sprains in the experimental group was significantly reduced after proprioceptive training[<italic>RR</italic>=0.61, 95%<italic>CI</italic>(0.41, 0.90), <italic>P</italic>=0.01]; compared with the control group, the posterolateral and posterior medical maximum extension distances of the experimental group increased significantly after proprioception training[<italic>MD</italic>=4.44, 95%<italic>CI</italic>(3.66, 5.23), <italic>P</italic>&lt;0.00 001;<italic>MD</italic>=4.21, 95%<italic>CI</italic>(3.18, 5.24), <italic>P</italic>&lt;0.00 001]and the difference was statistically significant;but there was no significant difference in the improvement effect of the anterior maximum extension distance, and the difference was not statistically significant(<italic>P</italic>&gt;0.05).The postural sway of the affected ankle joint in the experimental group was significantly lower than that in the control group;the athletes in the experimental group had better position perception ability in the ankle joint plantar flexion, dorsiflexion, middle and lateral directions than the control group.Conclusion:Proprioceptive training can effectively reduce the incidence of athletes' ankle sprains, improve dynamic neuromuscular control, improve postural stability, and enhance ankle joint position perception, which is worthy of clinical application.However, the absolute effect is not yet clear, so large samples and high-quality randomized controlled trials are still needed to further verify the efficacy of proprioception training, so as to provide more reliable evidence-based evidence for clinical rehabilitation.…”
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Investigation on the Binding and Conformational Change of All-trans-Retinoic Acid with Peptidyl Prolyl cis/trans Isomerase Pin1 Using Spectroscopic and Computational Techniques by GuoFei Zhu, ShaoLi Lyu, Yang Liu, Chao Ma, Wang Wang

“…Binding and conformational change of all-trans-retinoic acid (ATRA) with peptidyl prolyl cis/trans isomerase Pin1 were investigated systematically by spectroscopic and computational techniques under experimentally optimized physiological conditions. …”
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Automatic Generation of Precast Concrete Component Fabrication Drawings Based on BIM and Multi-Agent Reinforcement Learning by Chao Zhang, Xuhong Zhou, Chengran Xu, Zhou Wu, Jiepeng Liu, Hongtuo Qi

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