潮湿相关性皮炎病理特征及护理研究进展

对潮湿相关性皮炎的概念、危险因素、国内外发生率进行简要介绍。从皮肤长期接触水分导致浸渍，化学、物理、生物等因素在疾病发展过程中产生的作用进行综述，以增强对潮湿相关性皮炎病理机制的认识;从发病机制视角综述目前局部护理新进展，包括避免与水分长期接触、清洁、保湿、皮肤保护、使用温和的产品5个方面，旨在为相关研究及临床实践提供参考。     

探析新型冠状病毒肺炎的眼表损害及中西医治疗对策＊

新型冠状病毒肺炎（corona virus disease 2019，COVID-19）自2019年12月爆发以来，由于具有高传染性，迅速在世界各地蔓延，国内外疫情防治形势空前严峻。COVID-19不仅造成肺部、肠道、肾脏等多脏器损害，且部分患者以眼表损害为首发或伴发症状出现，临床上很容易被忽视。COVID-19的眼表损害归属于祖国医学“天行赤眼”范畴，本文结合国内外最新的文献报道，探讨新型冠状病毒（2019 novel corona virus，2019-nCoV）对眼表的损害，阐明其可能机制，并从中西医角度提出可行的治疗措施。     

AKR7A3在肺腺癌中异常表达及临床意义

目的:探讨醛-酮还原酶家族7成员A3（AKR7A3）在肺腺癌中的异常表达及与临床病理特征的关系，并探究其临床意义。方法:采用生物信息学数据库分析、免疫组化、Western Blot、Real-time PCR等方法对肺腺癌组织及不同细胞中AKR7A3的表达进行检测与分析。结果:Oncomine数据库分析结果显示，在肺腺癌中，AKR7A3的表达普遍高于正常肺组织，分别为正常肺组织的1.811倍（P=0.022）、1.356倍（P<0.01）、1.413倍（P=0.002）。Kaplan-Meier Plotter数据库分析结果显示，AKR7A3高表达的患者较低表达的患者生存时间缩短，差异具有统计学意义（P=0.003 7）。免疫组化染色显示肺腺癌组织中AKR7A3的表达较癌旁增高，在与临床病理特征的相关性分析中，发现其与肿瘤分化程度（P<0.01）、淋巴结转移情况（P=0.029）以及TNM分期（P<0.01）相关，且会造成患者生存时间缩短（P=0.031）。Cox多因素分析表明AKR7A3可能是影响肺腺癌患者预后的独立危险因素(P=0.012)。Western Blot及Real-time PCR实验提示不同肺腺癌细胞中AKR7A3蛋白及mRNA表达普遍增高。结论:AKR7A3在肺腺癌中表达增高，对预后有不良影响，有促进肿瘤发生发展的作用。     

Monitoring Hepatocyte Dysfunction and Biliary Complication After Liver Transplantation Using Quantitative Hepatobiliary Scintigraphy

The significance of hepatobiliary scintigraphy (HBS) for hepatic graft function assessment was established mostly on retrospective studies and was not widely recognized due to the lack of quantitative data and variation in accuracy. This prospective study was performed to investigate the effectiveness of quantitative HBS for assessing hepatocyte dysfunction and biliary complication in liver transplant recipients.In 57 recipients who had undergone orthotopic liver transplantation, a total of 67 dynamic ^99mTc-EHIDA scans were performed and quantitative parameters including the hepatocyte extraction fraction (HEF), time to maximum hepatic radioactivity (T_max), and time for peak activity to decrease by 50% (T_1/2) were calculated. The scintigraphic results based on the 3 parameters were compared against the final diagnosis. A ROC curve analysis was carried out to identify the cutoff value of T_max for diagnosis of biliary stricture. Correlation between the parameters of postoperative HBS and conventional biochemical liver function indices were also analyzed.Quantitative ^99mTc-EHIDA HBS had an overall sensitivity of 94.12% (16/17), specificity of 93.33% (42/45), and diagnostic accuracy of 93.55% (58/62) for detecting hepatocyte dysfunction and biliary complication in liver transplant recipients. The recommended cutoff value of T_max for diagnosis of post-transplant biliary stricture was set at 15.75 min with a sensitivity of 100.0% and a specificity of 94.0%. The scintigraphic parameters (HEF, T_max) were statistically significantly associated with the conventional liver function parameters.Quantitative ^99mTc-EHIDA HBS offers a noninvasive imaging modality with high sensitivity and specificity to diagnose hepatocyte dysfunction as well as distinguish between patients with or without biliary stricture following liver transplantation. Furthermore, HEF and T_max values obtained from dynamic HBS show good correlation with conventional liver function parameters.     

尘肺病患者心理、社会支持状况调查及相关性研究

目的为了解尘肺病患者心理状况及社会支持对患者心理健康的影响,为对尘肺病患者建立干预措施提供技术支撑。方法采用SCL-90症状清单、社会支持量表对在全省尘肺病住院病人较多的3家医院进行尘肺病患者问卷调查。结果 208名尘肺病患者男性205人,女性3人。文化程度均为高中及以下;Ⅰ期尘肺148人,Ⅱ期尘肺41人,Ⅲ期尘肺19人;尘肺患者SCL-90症状清单总分为162.00±64.77,低于全国常模,差异有统计学意义(P0.05);不同分期、不同年齡段、不同病程尘肺病患者各组之间社会支持得分差异无统计学意义。结论尘肺病患者心理健康水平低于全国水平,社会支持各维度得分与SCL-90各因子得分呈负相关,建立尘肺病患者心理干预体系十分必要。     

封场生活垃圾填埋场好氧治理通风系统计算与应用

从质量守恒定律出发,以Buswell提出的垃圾好氧降解反应方程式为基础,建立了计算通风量的化学计量模型;以达西定律为基础,建立了计算通风压力的数学模型;并将其应用于某封场垃圾填埋场原位好氧治理工程的计算,验证了2个模型的合理性和准确性,可为生活垃圾填埋场好氧生物反应器工艺设计和设备选型提供理论数据参考。     

Learning to Discretize: Solving 1D Scalar Conservation Laws via Deep Reinforcement Learning

Conservation laws are considered to be fundamental laws of nature. It has broad applications in many fields, including physics, chemistry, biology, geology, and engineering. Solving the differential equations associated with conservation laws is a major branch in computational mathematics. The recent success of machine learning, especially deep learning in areas such as computer vision and natural language processing, has attracted a lot of attention from the community of computational mathematics and inspired many intriguing works in combining machine learning with traditional methods. In this paper, we are the first to view numerical PDE solvers as an MDP and to use (deep) RL to learn new solvers. As proof of concept, we focus on 1-dimensional scalar conservation laws. We deploy the machinery of deep reinforcement learning to train a policy network that can decide on how the numerical solutions should be approximated in a sequential and spatial-temporal adaptive manner. We will show that the problem of solving conservation laws can be naturally viewed as a sequential decision-making process, and the numerical schemes learned in such a way can easily enforce long-term accuracy. Furthermore, the learned policy network is carefully designed to determine a good local discrete approximation based on the current state of the solution, which essentially makes the proposed method a meta-learning approach. In other words, the proposed method is capable of learning how to discretize for a given situation mimicking human experts. Finally, we will provide details on how the policy network is trained, how well it performs compared with some state-of-the-art numerical solvers such as WENO schemes, and supervised learning based approach L3D and PINN, and how well it generalizes.     

Cefoperazone-sulbactam and risk of coagulation disorders or bleeding: a retrospective cohort study

ABSTRACT

Objectives: Limited evidence has suggested that cefoperazone-sulbactam causes coagulation disorders and bleeding.

Methods: The authors conducted a retrospective study to compare patients receiving cefoperazone-sulbactam versus those treated with cefoperazone-tazobactam or ceftazidime. Propensity-score matching was used to explore whether treatment with cefoperazone-sulbactam increased the risk of prothrombin time (PT) prolongation, coagulation disorders, and bleeding, or decreased platelets (PLT).

Results: The cohort included 23,242 patients. Among patients receiving cefoperazone-sulbactam, the risk of PT prolongation, coagulation disorders, decreased PLT, and bleeding was 5.3%, 9.2%, 15.7%, and 4.2%, respectively. Propensity-score matching analyses suggested that cefoperazone-sulbactam increased the risk of PT prolongation (aOR 2.26, 95% CI 1.61–3.18), coagulation disorders (aOR 1.81, 95% CI 1.43–2.30), and decreased PLT (aOR 1.46, 95% CI 1.25–1.72), but not increase bleeding (aOR 1.05, 95% CI 0.79–1.40) compared with ceftazidime. Patients receiving cefoperazone-sulbactam had higher risk of PT prolongation (aOR 1.53, 95% CI 1.11–2.10), coagulation disorders (aOR 1.53, 95% CI 1.21–1.95), but not decreased PLT (aOR 0.93, 95% CI 0.81–1.07) or bleeding (aOR 1.11, 95% CI 0.87–1.42), compared with those receiving cefoperazone-tazobactam.

Conclusion: Cefoperazone-sulbactam may be associated with a higher risk of PT prolongation and coagulation disorders compared with cefoperazone-tazobactam and ceftazidime.