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Predictive Values of Postoperative and Dynamic Changes of Inflammation Indexes in Survival of Patients with Resected Colorectal Cancer 被引量:10
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作者 Zi-quan ZHOU shuo pang +4 位作者 Xing-chen YU Qi XUE Hong-yu JIANG Xin-jun LIANG Li LIU 《Current Medical Science》 SCIE CAS 2018年第5期798-808,共11页
The aim of the present study was to evaluate the prognostic potential of postoperative scores of inflammation indexes and the dynamic changes of scores before and after tumor resection in colorectal cancer patients.Th... The aim of the present study was to evaluate the prognostic potential of postoperative scores of inflammation indexes and the dynamic changes of scores before and after tumor resection in colorectal cancer patients.The study included 516 colorectal cancer patients with primary colorectal tumor resection.Cox regression was applied to estimate the associations of postoperative and dynamic changes of inflammation indexes with progression-free survival and overall survival.As results,we found that higher postoperative neutrophil to lymphocyte ratio (NLR),neutrophil and monocyte to lymphocyte ratio (NMLR),platelet to lymphocyte ratio (PLR) and systemic immune inflammation index (SII)were associated with shorter progression-free survival.The increased NLR,NMLR,PLR,SII and C-reaction protein (CRP)to albumin (ALB) ratio (CAR)were associated with poor progression-free survival,with HRs (95% CIs)of 1.92 (1.27-2.90),1.46(1.11-2.09),2.10(1.34-3.30),1.81(1.22-2.70)and 1.65(1.03-2.67), respectively.Postoperative NMLR,SII,CAR,and their dynamic changes were also significantly correlated with overall survival,with the HRs (95% CIs)of 2.63(1.30-3.97), 2.44(1.43-4.17),2.74(1.31-5.74),2.08(1.21-3.60),1.97(1.12-3.45)and 2.55(1.21-5.38)respectively.In conclusion,postoperative inflammation indexes and their dynamic changes,particularly for NMLR,SII and CAR are promising prognostic predictors of CRC patients. 展开更多
关键词 COLORECTAL cancer POSTOPERATIVE INFLAMMATION index dynamic change PROGNOSIS
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Evodiamine derivatives improve cognitive abilities in APP^(swe)/PS1^(ΔE9) transgenic mouse models of Alzheimer's disease 被引量:2
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作者 shuo pang Caixian Sun +3 位作者 Shan Gao Yajun Yang Xiandao Pan Lianfeng Zhang 《Animal Models and Experimental Medicine》 CSCD 2020年第2期193-199,共7页
Background: Alzheimer's disease(AD) is a complex neurodegenerative disease. Due to the complexity of its molecular pathogenesis and the interaction of the numerous factors involved, the etiology and pathogenesis o... Background: Alzheimer's disease(AD) is a complex neurodegenerative disease. Due to the complexity of its molecular pathogenesis and the interaction of the numerous factors involved, the etiology and pathogenesis of AD have not been fully elucidated. Therefore, effective treatment for AD remains to be developed. Evodiamine, a quinolone alkaloid, has been found to improve learning and memory ability to in the APP^(swe)/PS1^(ΔE9) mouse model of dementia. However, the cytotoxicity and physicochemical properties of evodiamine have limited its use in the treatment of AD.Methods: Evodiamine and its derivatives were effectively synthesized by EDCImediated condensation at room temperature. These target compounds contained 1 thio-and 21 oxo-evodiamine derivatives with different substituted groups. The cytotoxicity of evodiamine and its derivatives and the neuroprotective effects of the evodiamine derivatives against H_2O_2-induced cell loss in SH-SY5 Y cells were investigated using the WST-8 assay. The Morris water-maze test was used to detect the effect of evodiamine and its derivatives on improving learning and memory in APP^(swe)/PS1^(ΔE9) mice.Results: In this study, a series of oxo-and thio-evodiamine derivatives was synthesized. Several derivatives showed lower cytotoxicity and stronger neuroprotective effects than evodiamine and elicited enhanced cognitive improvement, especially in the test of spatial memory in APP^(swe)/PS1^(ΔE9) mice.Conclusion: Our study provides insights for developing novel evodiamine derivatives for chemical intervention and treatment of AD. 展开更多
关键词 evodiamine derivatives mouse model NEUROPROTECTIVE spatial memory
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低成本海洋探测自主无人艇集群系统研究(英文)
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作者 苗润龙 庞硕 姜大鹏 《Journal of Marine Science and Application》 CSCD 2019年第3期343-352,共10页
Swarm robotics in maritime engineering is a promising approach characterized by large numbers of relatively small and inexpensive autonomous aquatic crafts (AACs) to monitor marine environments. Compared with a single... Swarm robotics in maritime engineering is a promising approach characterized by large numbers of relatively small and inexpensive autonomous aquatic crafts (AACs) to monitor marine environments. Compared with a single, large aquatic manned or unmanned surface vehicle, a highly distributed aquatic swarm system with several AACs features advantages in numerous real-world maritime missions, and its natural potential is qualified for new classes of tasks that uniformly feature low cost and high efficiency through time. This article develops an inexpensive AAC based on an embedded-systemcompanion computer and open-source autopilot, providing a verification platform for education and research on swarm algorithm on water surfaces. A topology communication network, including an inner communication network to exchange information among AACs and an external communication network for monitoring the state of the AAC Swarm System (AACSS), was designed based on the topology built into the Xbee units for the AACSS. In the emergence control network, the transmitter and receiver were coupled to distribute or recover the AAC. The swarm motion behaviors in AAC were resolved into the capabilities of go-to-waypoint and path following, which can be accomplished by two uncoupled controllers: speed controller and heading controller. The good performance of velocity and heading controllers in go-to-waypoint was proven in a series of simulations. Path following was achieved by tracking a set of ordered waypoints in the go-to-waypoint. Finally, a sea trial conducted at the China National Deep Sea Center successfully demonstrated the motion capability of the AAC. The sea trial results showed that the AAC is suited to carry out environmental monitoring tasks by efficiently covering the desired path, allowing for redundancy in the data collection process and tolerating the individual AACs’ path-following offset caused by winds and waves. 展开更多
关键词 Marine environment monitoring SWARM ROBOTICS AUTONOMOUS AQUATIC CRAFT Unmanned surface vehicles AUTONOMOUS AQUATIC CRAFT swarmsystem Decentralized control
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2017年天津市居民癌症防治知识知晓现状及影响因素——应用微信公众号平台调查 被引量:21
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作者 王冲 王德征 +7 位作者 张爽 沈文达 沈成凤 宋桂德 张颖 张辉 庞硕 江国虹 《疾病监测》 CAS 2019年第7期651-656,共6页
目的了解活跃于微信社交软件的天津市居民癌症防治核心知识知晓情况及其影响因素。方法按照横断面调查设计,2017年11月通过天津市疾病预防控制中心"普及健康生活"微信公众号平台对活跃于微信软件的天津市居民进行线上调查,采... 目的了解活跃于微信社交软件的天津市居民癌症防治核心知识知晓情况及其影响因素。方法按照横断面调查设计,2017年11月通过天津市疾病预防控制中心"普及健康生活"微信公众号平台对活跃于微信软件的天津市居民进行线上调查,采用方便样本对调查结果进行单因素分析和多因素非条件logistic回归分析。结果活跃于微信软件的天津市居民癌症防治核心知识知晓率为59.4%,不同性别、年龄、户籍所在地、文化程度和职业的调查对象其癌症防治核心知识知晓情况比较,差异有统计学意义(均P<0.05);多因素logistic回归分析结果显示,调整了其他因素后,女性、低年龄组、户籍属于市区、文化程度高、职业为机关事业单位是癌症防治知识知晓的有利因素。结论通过微信公众号调查的天津市居民癌症防治知识知晓情况分布不平衡,性别、年龄、户籍所在地、文化程度和职业等因素影响居民对癌症防治知识的知晓情况,应积极利用新媒体开展有效的公众健康教育以提高人群癌症防治知识的知晓率。 展开更多
关键词 癌症防治 知晓率 微信公众号 影响因素
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A potential red-emitting phosphor Ca_(2)YTaO_(6):Eu^(3+):Luminescence properties,thermal stability and applications for white LEDs 被引量:4
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作者 Ka Ding Siru A +5 位作者 shuo pang Leyan Shan Yaqi Zhang Pengfei Sun Bin Deng Ruijin Yu 《Journal of Rare Earths》 SCIE EI CAS CSCD 2021年第7期749-756,I0001,共9页
A novel red-emitting phosphor tantalate Ca_(2)YTaO_(6):Eu^(3+)was synthesized by a solid-state reaction.The purity and surface morphology of the phosphors were characterized.The Ca_(2)YTaO_(6):Eu^(3+)phosphors show a ... A novel red-emitting phosphor tantalate Ca_(2)YTaO_(6):Eu^(3+)was synthesized by a solid-state reaction.The purity and surface morphology of the phosphors were characterized.The Ca_(2)YTaO_(6):Eu^(3+)phosphors show a sharp emission peak at 612 nm under near-ultraviolet(n-UV) at 395 nm because of the ^(5)D0→^(7)F_(2) transition of Eu^(3+).The optimal Eu^(3+)doping concentration in Ca_(2)YTaO_(6) is 40 mol% and the critical energy-transfer distance of Eu^(3+)ions was calculated to be 0.9 nm.The emission spectra of Ca_(2)YTaO_(6):Eu_(3+)from 300 to 480 K were investigated.The thermal-quenching temperature(T_(0.5)) of Ca_(2)YTaO_(6):Eu^(3+)is above 480 K.The color purity of Ca_(2)YTaO_(6):40 mol%Eu^(3+)is as high as 99.8%.The luminescence lifetime of Ca_(2)YTaO_(6):40 mol%Eu^(3+)was also discussed.The high color purity and high thermal stability of Eu^(3+)-doped Ca_(2)YTaO_(6) phosphors contribute to its application value in white lightemitting diodes(w-LEDs). 展开更多
关键词 Luminescence TANTALATE Ca_(2)YTaO_(6):Eu^(3+) Light-emitting diodes Rare earths
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Deep-learning cell imaging through Anderson localizing optical fiber 被引量:2
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作者 Jian Zhao Yangyang Sun +5 位作者 Hongbo Zhu Zheyuan Zhu Jose E.Antonio-Lopez Rodrigo Amezcua Correa shuo pang Axel Schulzgen 《Advanced Photonics》 EI CSCD 2019年第6期7-18,共12页
We demonstrate a deep-learning-based fiber imaging system that can transfer real-time artifact-free cell images through a meter-long Anderson localizing optical fiber.The cell samples are illuminated by an incoherent ... We demonstrate a deep-learning-based fiber imaging system that can transfer real-time artifact-free cell images through a meter-long Anderson localizing optical fiber.The cell samples are illuminated by an incoherent LED light source.A deep convolutional neural network is applied to the image reconstruction process.The network training uses data generated by a setup with straight fiber at room temperature(∼20°C)but can be utilized directly for high-fidelity reconstruction of cell images that are transported through fiber with a few degrees bend or fiber with segments heated up to 50°C.In addition,cell images located several millimeters away from the bare fiber end can be transported and recovered successfully without the assistance of distal optics.We provide evidence that the trained neural network is able to transfer its learning to recover images of cells featuring very different morphologies and classes that are never“seen”during the training process. 展开更多
关键词 fiber imaging cell imaging deep learning microstructured optical fiber transverse Anderson localization.
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