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Prognostic Factors in COVID-19 Pneumonia with Severe Acute Respiratory Distress Syndrome: An Observational Study
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作者 Xiaowen Wang Liya Zhu +7 位作者 Jian Liu keming chen Xiangqiong Liu Zhiqiang Liu chenqi Xin Yujie chen Jinzhi Lu Cunjian Yi 《Yangtze Medicine》 2021年第4期249-265,共17页
<strong>Purpose:</strong> To identify prognostic factors in patients with coronavirus disease 2019 (COVID-19)-associated severe acute respiratory distress syndrome (ARDS). <strong>Methods:</strong... <strong>Purpose:</strong> To identify prognostic factors in patients with coronavirus disease 2019 (COVID-19)-associated severe acute respiratory distress syndrome (ARDS). <strong>Methods:</strong> In this study, we included 45 patients with COVID-19-associated ARDS hospitalized at The First Affiliated Hospital of Yangtze University in Jingzhou, Hubei, China, between January 22, 2020, and March 6, 2020. Clinical data and outcomes were reviewed and analyzed according to the Berlin definition. <strong>Findings:</strong> Men were more likely to develop severe ARDS than women (11 [91.7%] vs. 1 [8.3%]). Factors associated with severe ARDS included sex (male) (hazard ratio [HR], 13.75;95% confidence interval [CI], 1.45 - 130.24), neutrophil count (HR, 55.00;95% CI, 5.02 - 602.15), lymphocyte count (HR, 40.00;95% CI, 4.83 - 331.00), prothrombin time (HR, 12.14;95% CI, 1.19 - 123.62), D-dimer (HR, 11.00;95% CI, 1.16 - 103.94), total bilirubin levels (HR, 5.00;95% CI, 0.93 - 26.79), albumin (HR, 17.5;95% CI, 2.67 - 114.85), blood urea nitrogen levels (HR, 28.60;95% CI, 2.89 - 283.06), lactate dehydrogenase levels (HR, 6.00;95% CI, 1.17 - 30.73), and C-reactive protein levels (HR, 15.87;95% CI, 2.40 - 111.11). <strong>Conclusion:</strong> Laboratory indicators, such as neutrophil count and lymphocyte count, could play an important role in the diagnosis of severe ARDS and guide clinical decision-making for patients with ARDS. 展开更多
关键词 Acute Respiratory Distress Syndrome Coronavirus Disease 2019 PNEUMONIA Prognostic Factors
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Adenosine triphosphate promotes locomotor recovery after spinal cord injury by activating mammalian target of rapamycin pathway in rats 被引量:3
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作者 Zhengang Sun Lingyun Hu +4 位作者 Yimin Wen keming chen Zhenjuan Sun Haiyuan Yue Chao Zhang 《Neural Regeneration Research》 SCIE CAS CSCD 2013年第2期101-110,共10页
The mammalian target of rapamycin (mTOR) pathway plays an important role in neuronal growth, proliferation and differentiation. To better understand the role of mTOR pathway involved in the induction of spinal cord ... The mammalian target of rapamycin (mTOR) pathway plays an important role in neuronal growth, proliferation and differentiation. To better understand the role of mTOR pathway involved in the induction of spinal cord injury, rat models of spinal cord injury were established by modified Allen's stall method and interfered for 7 days by intraperitoneal administration of mTOR activator adenosine triphosphate and mTOR kinase inhibitor rapamycin. At 1-4 weeks after spinal cord injury induction, the Basso, Beattie and Bresnahan locomotor rating scale was used to evaluate rat locomotor function, and immunohistochemical staining and western blot analysis were used to detect the expression of nestin (neural stem cell marker), neuronal nuclei (neuronal marker), neuron specific enolase, neurofilament protein 200 (axonal marker), glial fibrillary acidic protein (astrocyte marker), Akt, mTOR and signal transduction and activator of transcription 3 (STAT3). Results showed that adenosine triphosphate-mediated Akt/mTOR/STAT3 pathway increased endogenous neural stem cells, induced neurogenesis and axonal growth, inhibited excessive astrogliosis and improved the locomotor function of rats with spinal cord injury. 展开更多
关键词 neural regeneration spinal cord injury serine/threonine-specific protein kinase mammalian target ofrapamycin pathway signal transduction and activator of transcription 3 adenosine triphosphate signal pathway rapamycin photographs-containing paper NEUROREGENERATION
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A Dynamic Memory Allocation Optimization Mechanism Based on Spark 被引量:2
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作者 Suzhen Wang Shanshan Geng +7 位作者 Zhanfeng Zhang Anshan Ye keming chen Zhaosheng Xu Huimin Luo Gangshan Wu Lina Xu Ning Cao 《Computers, Materials & Continua》 SCIE EI 2019年第8期739-757,共19页
Spark is a distributed data processing framework based on memory.Memory allocation is a focus question of Spark research.A good memory allocation scheme can effectively improve the efficiency of task execution and mem... Spark is a distributed data processing framework based on memory.Memory allocation is a focus question of Spark research.A good memory allocation scheme can effectively improve the efficiency of task execution and memory resource utilization of the Spark.Aiming at the memory allocation problem in the Spark2.x version,this paper optimizes the memory allocation strategy by analyzing the Spark memory model,the existing cache replacement algorithms and the memory allocation methods,which is on the basis of minimizing the storage area and allocating the execution area according to the demand.It mainly including two parts:cache replacement optimization and memory allocation optimization.Firstly,in the storage area,the cache replacement algorithm is optimized according to the characteristics of RDD Partition,which is combined with PCA dimension.In this section,the four features of RDD Partition are selected.When the RDD cache is replaced,only two most important features are selected by PCA dimension reduction method each time,thereby ensuring the generalization of the cache replacement strategy.Secondly,the memory allocation strategy of the execution area is optimized according to the memory requirement of Task and the memory space of storage area.In this paper,a series of experiments in Spark on Yarn mode are carried out to verify the effectiveness of the optimization algorithm and improve the cluster performance. 展开更多
关键词 Memory calculation memory allocation optimization cache replacement optimization
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Development of bi-oligo(ethylene glycol)-functionalized fluorescent probe for two-photon and noninvasive imaging in Arabidopsis thaliana 被引量:2
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作者 Jingzhi Du keming chen +7 位作者 Zhenyang Yu Yuhao Qiao Jiaxin Liu Qianqian Zhai Zhe Hu Sheng-Gang Yang Jun Li Huailong Teng 《Advanced Agrochem》 2022年第2期162-173,共12页
Fluorescent probe is an important tool for investigation of biological events in plant tissues.However,the research on small-molecule based fluorescent probe for plant imaging still stays at the initial stage.In order... Fluorescent probe is an important tool for investigation of biological events in plant tissues.However,the research on small-molecule based fluorescent probe for plant imaging still stays at the initial stage.In order to noninvasively achieve the subcellular information of Arabidopsis thaliana,a two-photon and fluorene based fluorophore with a bi-oligo(ethylene glycol)functional group was synthesized.Under the laser's irradiation at 750 nm,the subcellular structures of Arabidopsis thaliana including stomata and root tips were clearly observed without slicing,which displayed significant superiorities over traditional single-photon excitation microscopy.Subsequently,the above functionalized fluorophore was further modified with a recognition group(dipicolylamine)to form a smart fluorescent probe(LJTP1).As results,LJTP1 not only can sensitively detect Cu^(2+)/S^(2-)with fluorescence“on-off-on”response in vitro and in vivo,but also can achieve noninvasive imaging in Arabidopsis thaliana tissues under two-photon microscopy.We believe this study will open up a new mind for noninvasive imaging in plant tissues. 展开更多
关键词 Fluorescent probe TWO-PHOTON Plant imaging Dual-functional detection
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