Suchergebnisse - "Chunji Wang"

Comparison of prognosis after transurethral resection of bladder tumor between solitary and multiple bladder cancers.

Autoren: Mingxin Diao Yue Li Zihui Gao et al.

Quelle: Medicine; 11/1/2024, Vol. 103 Issue 44, p1-4, 4p

Modified percutaneous nephropexy for nephroptosis: Technical description and short-term results.

Autoren: Liu, Honglei Gao, Wenzhi Zhang, Zheng et al.

Quelle: Current Urology; May2025, Vol. 19 Issue 3, p168-172, 5p

The impact of preoperative fasting time on patients undergoing partial nephrectomy and analysis of risk factors for postoperative hemorrhage.

Autoren: Chunji Wang Jiazhao Cui Zihui Gao

Quelle: Frontiers in Surgery; 2024, p1-8, 8p

The potential causal relationship between BMI, T1D, urolithiasis, and hydronephrosis in European ancestry: A Mendelian randomization analysis.

Autoren: Yangjun Han Wenzhi Gao Bing Wang et al.

Quelle: Medicine; 9/27/2024, Vol. 103 Issue 39, p1-8, 8p

Impact of preoperative fasting duration and prostate mass on postoperative bleeding after transurethral enucleation of the prostate: A risk factor analysis.

Autoren: Gao, Zihui Cui, Jiazhao Wang, Chunji

Quelle: Journal of International Medical Research; Aug2025, Vol. 53 Issue 8, p1-10, 10p

Correction to: Dissociating motor learning from recovery in exoskeleton training post-stroke

Autoren: Nicolas Schweighofer Chunji Wang Denis Mottet et al.

Quelle: Journal of NeuroEngineering and Rehabilitation, Vol 15, Iss 1, Pp 1-1 (2018)

Schlagwörter: Neurosciences. Biological psychiatry. Neuropsychiatry, RC321-571

Relation: http://link.springer.com/article/10.1186/s12984-018-0473-9; https://doaj.org/toc/1743-0003; https://doaj.org/article/3faa9b0aeb3d49b0bc508809cb14509e

Verfügbarkeit: https://doi.org/10.1186/s12984-018-0473-9
https://doaj.org/article/3faa9b0aeb3d49b0bc508809cb14509e

Structural constraints on learning in the neural network.

Autoren: Martinez, Clarisa A. Chunji Wang

Quelle: Journal of Neurophysiology; Nov2015, Vol. 114 Issue 5, p2555-2557, 3p

Schlagwörter: NEURAL circuitry, BRAIN-computer interfaces, INTERFACE circuits, COMPUTER input-output equipment, CYBERNETICS

Analysis of the Efficacy and Risk Factors for Failure of Balloon Dilation for Benign Ureteral Stricture.

Autoren: Wang, Bing Gao, Wenzhi Yang, Kunlin et al.

Quelle: Journal of Clinical Medicine; Feb2023, Vol. 12 Issue 4, p1655, 10p

Schlagwörter: URETERIC obstruction, RISK assessment, PREOPERATIVE risk factors, REIMPLANTATION (Surgery), URETEROSCOPY, LOGISTIC regression analysis, FAILURE analysis

Correction to: Dissociating motor learning from recovery in exoskeleton training post-stroke.

Autoren: Schweighofer, Nicolas Wang, Chunji Mottet, Denis et al.

Quelle: Journal of NeuroEngineering & Rehabilitation (JNER); 12/17/2018, Vol. 15 Issue 1, pN.PAG-N.PAG, 1p

Schlagwörter: MOTOR learning, ROBOTIC exoskeletons, STROKE

The duration of reaching movement is longer than predicted by minimum variance.

Autoren: Chunji Wang Yupeng Xiao Burdet, Etienne et al.

Quelle: Journal of Neurophysiology; Nov2016, Vol. 116 Issue 5, p2342-2345, 4p

Schlagwörter: MINIMUM variance estimation, ARM, KINEMATICS, NOISE, BIOMECHANICS

Virtuous and Vicious Cycles of Arm Use and Function Post-stroke.

Autoren: Ballester, Belen R. Winstein, Carolee Schweighofer, Nicolas

Quelle: Frontiers in Neurology; 3/29/2022, Vol. 13, p1-7, 7p

Schlagwörter: FORELIMB, NEUROREHABILITATION, ACTIVITIES of daily living, WEARABLE technology

Dissociating Sensorimotor Recovery and Compensation During Exoskeleton Training Following Stroke.

Autoren: Nibras, Nadir Liu, Chang Mottet, Denis et al.

Quelle: Frontiers in Human Neuroscience; 4/30/2021, pN.PAG-N.PAG, 14p

Schlagwörter: ROBOTIC exoskeletons, NEUROREHABILITATION, ELBOW, PRINCIPAL components analysis, RANGE of motion of joints, FORELIMB

Characterisation of AlCrCuFeMox high entropy alloys for nuclear fuel cladding.

Autoren: Zhu, Xincheng Tao, Zhenrui Wang, Chunji et al.

Quelle: Materials Science & Technology; Dec2022, Vol. 38 Issue 18, p1563-1572, 10p

Schlagwörter: NUCLEAR fuel claddings, ALLOYS, ENTROPY, OXIDATION of water, WATER vapor, OXIDE coating

Numerical Study on the Structural Safety of the Slideway Project in a Mountainous Tourist Attraction.

Autoren: Guo, Yanhui Yang, Yi Yang, Zhiquan et al.

Quelle: IOP Conference Series: Earth & Environmental Science; 2021, Vol. 632, p1-6, 6p

Electricity optimal scheduling strategy considering multiple parks shared energy in the absence of grid power supply.

Autoren: Jiang, Youhua Yang, Jinwan Wang, Chunji et al.

Quelle: International Transactions on Electrical Energy Systems; Dec2020, Vol. 30 Issue 12, p1-23, 23p

Schlagwörter: MICROGRIDS, POWER resources, ELECTRIC power distribution grids, GRID energy storage, ENERGY management, ELECTRICITY, ELECTRIC power consumption, PARK management

Geografische Kategorien: SHANGHAI (China)

The Efficiency, Efficacy, and Retention of Task Practice in Chronic Stroke.

Autoren: Wang, Chunji Winstein, Carolee D'Argenio, David Z. et al.

Quelle: Neurorehabilitation & Neural Repair; Oct2020, Vol. 34 Issue 10, p881-890, 10p

Gold resources potential assessment in eastern Kunlun Mountains of China combining weights-of-evidence model with GIS spatial analysis technique.

Autoren: He, Binbin Chen, Cuihua Liu, Yue

Quelle: Chinese Geographical Science; Oct2010, Vol. 20 Issue 5, p461-470, 10p

Composite Metallogenic Systems in the Weihai Area of Shandong and Evolution of Continental Dynamic Regimes.

Autoren: Zhongshi, SUN Peifu, WANG Jun, DENG et al.

Quelle: Acta Geologica Sinica (English Edition); Apr2007, Vol. 81 Issue 2, p312-321, 10p

Helium, Argon, and Xenon Isotopic Compositions of Ore-forming Fluids in Jinding-Baiyangping Polymetallic Deposits, Yunnan, Southwest China.

Autoren: Chunji, XUE Denghong, WANG Yuchuan, CHEN et al.

Quelle: Acta Geologica Sinica (English Edition); Sep2000, Vol. 74 Issue 3, p521-528, 8p

Dissociating motor learning from recovery in exoskeleton training post-stroke.

Autoren: Schweighofer, Nicolas Wang, Chunji Mottet, Denis et al.

Quelle: Journal of NeuroEngineering & Rehabilitation (JNER); 12/17/2018, Vol. 15 Issue 1, pN.PAG-N.PAG, 1p

Schlagwörter: MOTOR learning, ROBOTIC exoskeletons, STROKE, STROKE patients, NEUROREHABILITATION