物联网技术在医院中的应用现状

物联网(Internet of Things,简称"IoT")技术是当前世界新一轮科技和经济发展的战略制高点之一。物联网是由传感技术感知物体,按照固定的协议实现任何时候物与物之间、人和物之间、人与人之间的互联互通,实现智能化识别、定位、跟踪及管理的网络,是信息技术和传感控制技术两者融合的产物。简单来说,物联网就是可以让人们所关注的事物在任何地方、任何时候都能被监控,其具有全面感知、可靠传递以及智能处理3个特点。物联网的核心是智能化,其在医院中的应用主要是实现对人的智能化医疗和对物的智能化管理工作,例如:实现婴儿防盗、无线输液管理、移动门诊输液管理等功能;用于医疗资产管理、资产定位,提升医疗器械调度效率。     

HPLC-MS Method for Simultaneous Quantitative Determination of an Innovative Russian Gestagen and its Metabolites in Rat and Rabbit Blood Sera

Pharmaceutical Chemistry Journal - An HPLC-MS method for simultaneous quantitative determination of a novel gestagenic pharmaceutical and two of its metabolites in rat and rabbit blood sera was...     

不伴红细胞增多的慢性阻塞性肺疾病患者并发肺栓塞的影响因素研究

背景　慢性阻塞性肺疾病（COPD）患者肺栓塞（PE）发生率显著高于常人，但目前不伴红细胞增多的COPD患者并发PE的机制尚不明确。目的　探讨不伴红细胞增多的COPD患者并发PE的影响因素。方法　本研究为回顾性病例对照研究。收集2017年1-12月在新疆医科大学第一附属医院呼吸与呼吸危重症中心住院治疗的血红蛋白（Hb）≤140 g/L的COPD患者。依据肺多层螺旋CT肺血管成像（CTPA）检查结果将患者分为并发PE组和单纯COPD组。记录患者的年龄、性别、合并症、服用抗血小板或抗凝药物史。采用倾向性评分匹配（PSM）方法，通过二元Logistic回归分析估计倾向性评分值，采用1∶1最邻近原则匹配，卡钳值为0.05，筛选出基线相同的两组病例。记录患者的D-二聚体、血常规检查结果，比较两组间差异；分析不伴红细胞增多的COPD患者并发PE的影响因素，红细胞分布宽度（RDW）与中性粒细胞/淋巴细胞比值（NLR）的相关性。结果　共纳入病例339例，其中单纯COPD组289例，并发PE组50例。采用PSM方法筛选两组患者，最终得到单纯COPD组、并发PE组各50例进行后续研究。并发PE组患者D-二聚体、中性粒细胞计数（N）、RDW、NLR高于单纯COPD组，淋巴细胞计数（L）低于单纯COPD组（P<0.05）。二元Logistic回归分析结果显示，RDW是不伴红细胞增多的COPD患者并发PE的影响因素〔OR=1.561，95%CI（1.096，2.225），P<0.05〕。Spearman秩相关分析结果显示，不伴红细胞增多的COPD患者RDW与NLR呈正相关（rs=0.225，P<0.05）。结论　RDW升高是Hb≤140 g/L的COPD患者并发PE的危险因素，且RDW与NLR呈正相关。     

Erosive pustular dermatosis of the scalp in an adolescent with near‐total hair regrowth: Case report and review of the literature

Erosive pustular dermatosis of the scalp (EPDS) is an uncommon chronic inflammatory response to scalp trauma that usually resolves with cicatricial alopecia. It most commonly affects elderly patients with a history of actinic damage. Herein, we describe a 16‐year‐old girl with acrofacial dysostosis type 1 presenting after surgery with crusting purulent scalp lesions, whose clinical presentation and histopathologic findings were consistent with EPDS. A review of the literature on EPDS in children is also detailed.     

Utility of Tissue Similarity Maps Based on Relative Cerebral Blood Volume for Grading Gliomas as Validated by Histological Results

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Uncertainty evaluation at three spatial scales for the NDVI-based VWC estimation method used in the SMAP algorithm

Vegetation water content (VWC) is the key input parameter for a soil moisture retrieval algorithm based on microwave remote sensing, and VWC uncertainty can limit the estimated accuracy of soil moisture. There has been little research on VWC algorithm development and validation in China, and the uncertainty of the VWC estimation method has not been well evaluated. Therefore, the aim of this study is to evaluate the uncertainty of the VWC estimation method used in the SMAP (Soil Moisture Active Passive) algorithm on three spatial scales (the point-scale, 30 m scale, and 1 km scale) for maize in northeast China. Results from three ground experimental datasets showed that the SMAP VWC estimation method was strongly biased with an average overestimation of 1.16 kg m^?2,1.04 kg m^?2, and 1.13 kg m^?2 for the point-scale, 30 m scale, and 1 km scale respectively, and maximum bias occurred in the mid-stage of maize. Also, a new power relationship between NDVI (Normalized Difference Vegetation Index) and VWC was proposed for the 30 m scale based on Sentinel 2 NDVI and field VWC values from 2017 experiment, with respective R² (coefficient of determination) and Root Mean Squared Error (RMSE) values of 0.80 and 0.67 kg m^?2. The results confirmed that this power relationship was still suitable for VWC estimation at the 1 km scale, and it has smaller bias than the original SMAP VWC method. Future work will be carried out to evaluate the applicability of this VWC estimation method over a lager region. It is expected that it can improve the accuracy of soil moisture by providing high precision VWC input parameters.