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| 1 | An Integrated Analysis of Risk Factors of Cognitive Impairment in Patients with Severe Carotid Artery Stenosis显示文摘Objective To investigate cognitive dysfunction in patients with carotid artery stenosis(CAS) and potential risk factors related to cognitive-especially memory-dysfunction. Methods Forty-seven patients with carotid artery stenosis were recruited into our study cohort. The Mini-Mental State Examination(MMSE) and the Montreal Cognitive Assessment(MoCA) were adopted to assess cognitive function, the Wechsler Memory Scale(WMS) to assess memory function, high-resolution MRI and enhanced ultrasound to evaluate carotid plaques, and computed tomography perfusion(CTP) imaging to evaluate intracranial blood perfusion. Single-factor analysis and multiple-factor regression analysis were used to analyze potential risk factors of cognitive impairment. Results Mini-Mental State Examination test results showed that 22 patients had cognitive impairment, and MoCA test results showed that 10 patients had cognitive impairment. Analysis of various risk factors indicated that the average memory quotient of female patients was higher than that of males(P = 0.024). The cognitive and memory performance of those with an educational background above high school were significantly better than those of participants with high school or lower(P = 0.045). Patients with abnormal intracranial perfusion performed worse on the MMSE test(P = 0.024), and their WMS scores were significantly lower(P = 0.007). The MMSE scores and the memory quotients were significantly lower in patients with a history of cerebral infarction(MMSE, P = 0.047, memory quotient score, P = 0.018). Conclusion A history of cerebral infarction and abnormal cerebral perfusion are associated with decline in overall cognitive function and memory in patients with carotid stenosis. Being female and having an educational background above high school may be protective factors in the development of cognitive dysfunction. | LUO Ru Tao WANG Pei Jiong DENG Xiao Feng ZHOU Shu Jie ZHAO Meng QIAN Jing ZHANG Dong WANG Rong ZHANG Yan | 2018 | Biomedical and Environmental Sciences2018，31，11： | 17 |
| 2 | Integration of micro-supercapacitors with triboelectric nanogenerators for a flexible self-charging power unit显示文摘便携式、便携的电子设备的快速的发展为灵活、有效的精力收获和存储单位增加了需求。通常,这些作为分离部件独立被造并且使用。此处,我们建议雕刻的简单、划算的激光为制作一个灵活自我控告的 micro-supercapacitor 力量单位(SCMPU ) 的技术,由集成摩擦电, nanogenerator (TENG ) 和 micro-supercapacitor (MSC ) 穿进一台单个设备。SCMPU 能被周围的机械运动直接控告。我们表明 SCMPU 的能力连续地驱动轻射出的二极管和商业温湿计。这调查可以支持持续自我动力的系统的开发并且为 supercapacitors 提供一个有希望的新研究应用程序。 | Jianjun Luo Feng Ru Fan Tao Jiang Zhiwei Wang Wei Tang Cuiping Zhang Mengmeng Liu Guozhong Cao Zhong Lin Wang | 2015 | Nano Research2015，8，12： | 14 |
| 3 | Diet and gastric cancer:a case-control study in Fujian Province,China显示文摘NTRODUCTIONChangleandFuqingcitiesarelocatedinthesoutheasternpartofFujianProvince,Chinawithahighincidenceofgastriccancer.Howev... | YE Wei Min 1, YI Ying Nan 1, LUO Ren Xia 2, ZHOU Tian Shu 3, LIN Ru Tao 1 and CHEN Gui Dong 3 | 1998 | World Journal of Gastroenterology1998，4，6： | 12 |
| 4 | Inverted U-Shaped Associations between Glycemic Indices and Serum Uric Acid Levels in the General Chinese Population:Findings from the China Cardiometabolic Disease and Cancer Cohort(4C)Study显示文摘Objective The relationship between serum uric acid(SUA)levels and glycemic indices,including plasma glucose(FPG),2-hour postload glucose(2 h-PG),and glycated hemoglobin(HbA1 c),remains inconclusive.We aimed to explore the associations between glycemic indices and SUA levels in the general Chinese population.Methods The current study was a cross-sectional analysis using the first follow-up survey data from The China Cardiometabolic Disease and Cancer Cohort Study.A total of 105,922 community-dwelling adults aged≥40 years underwent the oral glucose tolerance test and uric acid assessment.The nonlinear relationships between glycemic indices and SUA levels were explored using generalized additive models.Results A total of 30,941 men and 62,361 women were eligible for the current analysis.Generalized additive models verified the inverted U-shaped association between glycemic indices and SUA levels,but with different inflection points in men and women.The thresholds for FPG,2 h-PG,and HbA1 c for men and women were 6.5/8.0 mmol/L,11.0/14.0 mmol/L,and 6.1/6.5,respectively(SUA levels increased with increasing glycemic indices before the inflection points and then eventually decreased with further increases in the glycemic indices).Conclusion An inverted U-shaped association was observed between major glycemic indices and uric acid levels in both sexes,while the inflection points were reached earlier in men than in women. | ZHU Yuan Yue ZHENG Rui Zhi WANG Gui Xia CHEN Li SHI Li Xin SU Qing XU Min XU Yu CHEN Yu Hong YU Xue Feng YAN Li WANG Tian Ge ZHAO Zhi Yun QIN Gui Jun WAN Qin CHEN Gang GAO Zheng Nan SHEN Fei Xia LUO Zuo Jie QIN Ying Fen HUO Ya Nan LI Qiang YE Zhen ZHANG Yin Fei LIU Chao WANG You Min WU Sheng Li YANG Tao DENG Hua Cong ZHAO Jia Jun CHEN Lu Lu MU Yi Ming TANG Xu Lei HU Ru Ying WANG Wei Qing NING Guang LI Mian LU Jie Li BI Yu Fang | 2021 | Biomedical and Environmental Sciences2021，34，1： | 2 |
| 5 | Microstructures of Co-Continuous SiC/Fe-2Cr13 Composite Fabricated by Vacuum-Pressure Casting and Infiltration Processes显示文摘 | Yu Liang Jiang Yan Li Ru Hong Qiang Liu Jiang Tao Luo Kun | 2011 | Advanced Materials Research2011，，239： | 1 |
| 6 | 基于个体化机器学习的原发性免疫性血小板减少症危重出血预测模型:一项全国前瞻性队列研究显示文摘原发性免疫性血小板减少症(ITP)中少见但至关重要的危重出血事件,给患者的预后、生活质量和治疗决策带来严重影响。尽管有一些研究探讨了ITP中与危重出血相关的风险因素,但目前尚缺乏大样本数据、大规模多中心研究结果以及针对ITP患者致命出血事件的预测模型。本研究首次采用国际血栓与止血学会新提出的ITP致命出血标准,利用大样本数据开发了首个基于机器学习的在线应用,用于预测ITP患者的致命出血.研究中,我们使用中国各地大型多中心数据进行开发,并对全国39家医疗中心进行为期一年的外部测试,得到了较好的训练、验证和测试数据集预测能力该基于新算法的便捷网络工具能够快速识别ITP患者的出血风险,辅助临床决策,有望未来降低不良事件的发生。 | Zhuo-Yu An Ye-Jun Wu Yu Hou Heng Mei Wei-Xia Nong Wen-Qian Li Hu Zhou Ru Feng Jian-Ping Shen Jun Peng Hai Zhou Yi Liu Yong-Ping Song Lin-Hua Yang Mei-Yun Fang Jian-Yong Li Yun-Feng Cheng Peng Liu Ya-Jing Xu Zhao Wang Yi Luo Zhen Cai Hui Liu Jing-Wen Wang Juan Li Xi Zhang Zi-Min Sun Xiao-Yu Zhu Xin Wang Rong Fu Liang Huang Shao-Yuan Wang Tong-Hua Yang Li-Ping Su Liang-Ming Ma Xie-Qun Chen Dai-Hong Liu Hong-Xia Yao Jia Feng Hong-Yu Zhang Ming Jiang Ze-Ping Zhou Wen-Sheng Wang Xu-Liang Shen Yangjin Baima Yue-Ying Li Qian-Fei Wang Qiu-Sha Huang Hai-Xia Fu Xiao-Lu Zhu Yun He Qian Jiang Hao Jiang Jin Lu Xiang-Yu Zhao Ying-Jun Chang Tao Wu Yao-Zhu Pan Lin Qiu Da Gao A-Rong Jin Wei Li Su-Jun Gao Lei Zhang Ming Hou Xiao-Jun Huang Xiao-Hui Zhang on behalf of the National Cooperative ITP Working Group | 2023 | Science Bulletin2023，68，18： | 0 |
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