Minimizing the risk of community spread of COVID-19 via institutional quarantine of high-risk travelers with serial viral RNA testing: A successful experience from Macao SAR, China

Macao,a special administrative region(SAR)of the People’s Republic of China,is located in southern China and shares the border with China's Mainland.It is the most densely populated region in the world,with a population of 667400 and a total land area of 32.9 square kilometers in 2019.Since the first case diagnosed on January 22,2020,there was a total of 45 laboratory-confirmed coronavirus disease 2019(COVID-19)cases in Macao,of which 43 patients(96%)were imported cases.To date,all patients had been discharged successfully from Centro Hospitalar Conde de São Januário,a designated hospital to manage all COVID-19 patients in Macao.Eventually,no patient died,and no local community outbreak was noted.This opinion review describes the underlying factors that could have contributed to the successful experience in Macao SAR,China,which include the following:(1)Early implementation of containment measures;(2)Large-scale quarantine using hotel rooms to reduce the risk of a local outbreak;and(3)Multidisciplinary co-operation and transparency of information to the public.Although the successful experience in Macao SAR,China,may not be generalized to other regions,it should not be unreasonable to be well prepared with sufficient logistic support to conduct timely containment and early detection of episodic cases to prevent the backsliding of COVID-19 outbreak.

Effect of sensor quantity on measurement accuracy of log inner defects by using stress wave

Wood nondestructive testing （NDT） is one of the high efficient methods in utilizing wood. This paper explained the principle of log defect testing by using stress wave, and analyzed the effects of sensor quantity on defect testing results by using stress wave in terms of image fitting degree and error rate. The results showed that for logs with diameter ranging from 20 to 40 cm, at least 12 sensors were needed to meet the requirement which ensure a high testing accuracy of roughly 90% of fitness with 0.1 of error rate. And 10 sensors were recommended to judge the possible locations of defects and 6 sensors were sufficient to decide whether there were defects or not.

生存分析log-rank检验样本含量估计影响因素

目的探讨生存分析log-rank检验样本含量估计的影响因素。方法应用PASS软件中的Lachin-Foulkes方法模块,设置不同的参数计算实例的样本含量来研究log-rank检验样本含量估计的影响因素。结果检验水准(包括单、双侧检验)、预期的检验效能、风险比、试验组和对照组例数是否均衡、随访的时间、删失率等因素都会影响log-rank检验样本含量估计。结论生存分析log-rank检验样本含量估计受诸多因素影响,设计阶段样本含量估算应考虑这些影响因素。

新药临床试验中log-rank检验的SAS宏实现

针对新药临床试验中终点指标为事件发生时间的数据,以lifetest过程为基础编制了相应的SAS宏,格式化输出事件发生率的Kaplan-Meier估计、组间log-rank检验结果和阶梯曲线图,通过控制宏参数使得临床试验数据处理中相关的操作趋于灵活和高效,实现了分析内容的客户定制化以及结果输出的规范化。

An Effective Long String Searching Algorithm towards Component Security Testing

In the execution of method invocation sequences to test component security,abnormal or normal information is generated and recorded in a monitor log. By searching abnormal information from monitor log,the exceptions that the component has can be determined. To facilitate the searching process,string searching methods could be employed. However,current approaches are not effective enough to search long pattern string. In order to mine the specific information with less number of matches,we proposed an improved Sunday string searching algorithm in this paper. Unlike Sunday algorithm which does not make use of the already matched characters,the proposed approach presents two ideas — utilizing and recycling these characters. We take advantage of all matched characters in main string,if they are still in the matchable interval compared with pattern string,to increase the distance that pattern string moves backwards. Experimental analysis shows that,compared to Sunday algorithm,our method could greatly reduce the matching times,if the scale of character set constituting both main string and pattern string is small,or if the length of pattern string is long. Also,the proposed approach can improve the search effectiveness for abnormal information in component security testing.

Model study of log feeding technology at the dam of Ertan Hydropower Station in China

The log float technology from timber depot at the reservoir to log feeding rolls was studied by model tests. The model test was taken with the rule of gravitation similitude and ratio of 1∶10. Main parameters, like the amount of tug boats, hydro-accelerators and the structure of feeding rolls, were determined. The more suitable float process is put forward and the reliable basis for the design is supplied.

Experimental Studies on Debris Flow with Logs Focusing on Specific Weight Difference of Log Species

There are many experimental approaches,field investigations and numerical calculations for movements of woods in a clear water and debris flow.However,kinematic conditions for accumulated logs and the interactions between a main flow and logs have not been fully evaluated.Mitigations for woods need taking into account the characteristics of tree species such as conifer and broad-leaf trees and of shapes such as root swells and crown.In the present study,we focus on the differences in specific weight of conifer and broad-leaf trees with some moisture in a sediment-water mixture flow with narrow flow width,and consider that conifer and broad-leaf tree are floating and submerged solid phase,respectively.Flume tests are conducted in steady flow of clear and debris flow over a rigid bed in order to evaluate conifer and broad-leaf tree movement in clear water and debris flow.Experimental data indicates that dimensionless transverse diffusion coefficient can be 0.1 to 0.4 and 0.3 to 0.9 in flow direction.Those diffusive characteristics seem to be independent of Reynolds number and Froude number,but dependent of bed slope,i.e.,gravity,though detailed considerations are needed to discuss about flow characteristics such as spatial eddy structures,momentum transfer induced by interactions of logs and so on.

Log rank检验的功效

目的:L og rank检验是生存资料比较的标准方法,但无与之匹配的样本量测定方法。论述了这种检验的功效,为样本量研究提供依据。方法:由L ach in-Fou lkes法计算期望功效作为参照,回顾L og rank检验的3种形式,按M on te C arlo方法分别计算其观测功效,然后作对比分析。结果:所得观测功效在多数试验集均低于期望功效。与上半部相比,寿命表下半部期望和观测功效均较低。所得观测功效在不同终检水平或不同生存分布各不相同。结论:L ach in-Fou lkes法产生的样本量偏小,不能满足L og rank检验的预定功效。L og rank检验所需样本量因终检水平、生存时间或生存分布而异,L ach in-Fou lkes法无视这些事实,无法作出切合实际的测定,因此必须寻求与这种检验匹配的样本量测定方法。

Log rank检验所需样本量的测定:迭代非中心法

目的:提出一种迭代非中心法,用于Log rank检验所需样本量的测定,并同Lachin-Foukes法进行了比较。方法:预置样本量重复抽样,计算Log rank检验统计量及其平均值。调整预置样本量重复操作,当该平均值充分逼近预定非中心参数时,最后预置样本量被看成是所需样本量。结果:该法所得样本量因生存分布而异,可满足Log rank检验预定功效。相比之下,Lachin-Foukes法所得样本量偏小,用于Log rank检验功效不足。结论:迭代非中心法优于Lachin-Foukes法,可用于慢性病和癌症生存研究的设计。

碳氧比测井地面系统LOG2000综述

LOG2000碳氧比测井地面系统包括测井采集软件log2000和测井数据采集箱LOG2000COR,可完成深度、张力等信息的测量,以及能谱仪器的刻度、采集和控制,完成图头、曲线和刻度信息的打印,形成完整的测井功能。该系统的可靠性和操作便捷性与国内同类软件相比均具有很大优势,非常适合测井小队的生产需要。

Application of Isotopic Tracerlog for Water Injection Profile

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LOGIQ双侧向测井仪检测系统研制

针对LOGIQ双侧向测井仪维修时无法单独对仪器进行检测,不能精确测量深、浅侧向电压、电流值,以及刻度过程受接触电阻影响大等问题,研制了一种功能齐全、使用便捷的LOGIQ双侧向测井仪检测系统。该系统重新设计了前置放大电路,采用波段开关重新搭建了地层模拟电阻网络,通过以ARM为核心的数据采集和传输系统进行调度处理,实现仪器的状态转换。该系统解决了单支仪器检修的问题,刻度过程不受接触电阻影响,能够精确测量深、浅侧向电压、电流,使仪器维修由定性变成定量。

EILog成套测井装备地面系统自检装置研制

EILog成套测井装备地面系统自检装置是对EILog成套测井装备功能有益的补充和完善,自检装置通过模拟井下仪器接收地面系统指令,模拟各种井下仪器数据和声波波形并向地面系统发送,以确知的井下仪器状态来检验地面系统软硬件工作是否正常。自检装置可用于EILog成套测井装备的日常自检、维护、故障检测/定位,也可用于地面系统操作人员培训。自检装置的研制成功,对确保EILog成套测井装备工作正常、测井曲线准确可靠有非常重要的作用和意义。

Speaker Verification Based on Log-Likelihood Score Normalization

Due to differences in the distribution of scores for different trials, the performance of a speaker verification system will be seriously diminished if raw scores are directly used for detection with a unified threshold value. As such, the scores must be normalized. To tackle the shortcomings of score normalization methods, we propose a speaker verification system based on log-likelihood normalization (LLN). Without a priori knowledge, LLN increases the separation between scores of target and non-target speaker models, so as to improve score aliasing of “same-speaker” and “different-speaker” trials corresponding to the same test speech, enabling better discrimination and decision capability. The experiment shows that LLN is an effective method of scoring normalization.

Log-Rank Test for Comparing Survival Curves of Neonatal Mortality Characteristic Groups in River Nile State-Sudan

This paper concerns the Log-rank test for comparing survival curves of neonatal mortality characteristic groups in River Nile State, Sudan. In this paper, log-rank test is used to compare two or more survival curves for the characteristics of newborn associated with newborn death after using Kaplan-Meier methods to estimate and graph survival curves for the variable of interest as (sex of newborn, weight of newborn, gestational age, mode of delivery and resident type), at the hospital of River Nile state—Sudan, with a sample size 700 of newborn in which the admission to the Neonatal Intensive Care Unit (NICU) of those hospitals during the period 2018-2020. In term of risk of death for newborn we found that 25% of sample study for newborns who were born in River Nile State-Sudan died. In addition, we conclude that after the log-rank statistics and Kaplan-Meier methods were applied, gender does not affect the newborn’s risk of survival, while the risk of survival increases when the birth weight is greater than 4.35 kg and the gestational age is greater than 42 weeks. There is no difference in the probability of survival for newborns whether the delivery is normal or cesarean. However, newborns are significantly more likely to survive in urban areas than in rural areas.

5713XB面板在UNILOG8000系统开发中的应用

UNILOG8000系统能够满足常规电缆测井需求,然而系统自身没有单独设计远程张力面板,将5713XB远程张力面板应用在UNILOG8000系统中即可实现系统的远程监控功能。文章介绍了UNILOG8000成像测井系统、5713XB远程张力面板以及5713XB远程张力面板的在UNILOG8000成像测井系统中的应用,说明了各部分的功能,信号数据走线,硬件、软件配接,以实现UNILOG8000系统的远程监控,丰富其功能,同时保证钻具传输等复杂测井工艺条件下的安全。

Testing and Evaluation for Web Usability Based on Extended Markov Chain Model

As the increasing popularity and complexity of Web applications and the emergence of their new characteristics, the testing and maintenance of large, complex Web applications are becoming more complex and difficult. Web applications generally contain lots of pages and are used by enormous users. Statistical testing is an effective way of ensuring their quality. Web usage can be accurately described by Markov chain which has been proved to be an ideal model for software statistical testing. The results of unit testing can be utilized in the latter stages, which is an important strategy for bottom-to-top integration testing, and the other improvement of extended Markov chain model (EMM) is to present the error type vector which is treated as a part of page node. this paper also proposes the algorithm for generating test cases of usage paths. Finally, optional usage reliability evaluation methods and an incremental usability regression testing model for testing and evaluation are presented. Key words statistical testing - evaluation for Web usability - extended Markov chain model (EMM) - Web log mining - reliability evaluation CLC number TP311. 5 Foundation item: Supported by the National Defence Research Project (No. 41315. 9. 2) and National Science and Technology Plan (2001BA102A04-02-03)Biography: MAO Cheng-ying (1978-), male, Ph.D. candidate, research direction: software testing. Research direction: advanced database system, software testing, component technology and data mining.

An Improved String-Searching Algorithm and Its Application in Component Security Testing

Mass monitor logs are produced during the process of component security testing. In order to mine the explicit and implicit security exception information of the tested component, the log should be searched for keyword strings. However, existing string-searching algorithms are not very efficient or appropriate for the operation of searching monitor logs during component security testing. For mining abnormal information effectively in monitor logs, an improved string-searching algorithm is proposed. The main idea of this algorithm is to search for the first occurrence of a character in the main string. The character should be different and farther from the last character in the pattern string. With this algorithm, the backward moving distance of the pattern string will be increased and the matching time will be optimized. In the end, we conduct an experimental study based on our approach, the results of which show that the proposed algorithm finds strings in monitor logs 11.5% more efficiently than existing approaches.

Bayesian Planning of Optimal Step-stress Accelerated Life Test for Log-location-scale Distributions

This paper introduces some Bayesian optimal design methods for step-stress accelerated life test planning with one accelerating variable, when the acceleration model is linear in the accelerated variable or its function, based on censored data from a log-location-scale distributions. In order to find the optimal plan,we propose different Monte Carlo simulation algorithms for different Bayesian optimal criteria. We present an example using the lognormal life distribution with Type-I censoring to illustrate the different Bayesian methods and to examine the effects of the prior distribution and sample size. By comparing the different Bayesian methods we suggest that when the data have large（small） sample size B1（τ）（B2（τ）） method is adopted. Finally, the Bayesian optimal plans are compared with the plan obtained by maximum likelihood method.