基于精细化管理的临床学科评估指标体系的建立

为了进一步加强临床学科的建设、提高专科特色水平，在参考其他大医院学科评估经验做法的基础上，结合自身特点，建立了一套既适合医院实际、又能与全国接轨的临床学科评估指标体系，内容包括思想政治、人才梯队、医疗工作、教学工作以及科研工作，囊括了学科整体建设的各个方面。评估指标体系的建立，对医院开展临床学科评估工作，明确学科发展方向具有重要的指导意义。     

Clinical data evaluation and the PL health control information system.

In a health control service environment, that is, a periodic, membership AMHTS type of comprehensive health check-up system, where clinical data evaluation especially an evaluation in terms of subject-specific normal ranges, is most important, the medical information system is required to handle: (1) Various network types files; (2) real-time immediacy; (3) an asserted reliability to meet personal health control purposes. As in other computer applications already successfully used, an indexed direct assess method (IDAM) developed is our solution. It allows us to provide multiple indices for the file network, instead of inverted files, a unique index-to-record relationship, preventing any unrecoverable chaining destruction and, thereby, provides any network type access a stable access time. Furthermore, for research purposes, a data integrity for on-line access and batch access was attained as well as a retrieval language system with a multiple key retrieval function.     

The rapid generation of strength-interval curves under computer control

A system was developed to allow for the rapid evaluation of myocardial excitability and conduction in canine preparations. The stimulus strength required to excite a propagated response, as a function of time since the last depolarization, can be summarized by a strength--interval curve. Our system generates strength-interval curves under computer control with high accuracy and efficiciency. The conduction time of each ventricular response is also determined. At a heart rate of 2.5 Hz, the average time for curve generation is 94 s, an efficiency which is 85% of the theoretical maximum. This system has been employed in over 120 dogs to generate strength--interval curves during rapidly changing periods of myocardial ischemia and during interventions with various drugs.     

县级公立医院综合改革成效评估指标体系构建研究

在文献回顾确定评估维度的基础上,结合相关政策,确定原始指标体系,利用两轮专题小组讨论和两轮专家咨询法对指标进行筛选,最终确定一套由3个一级指标、14个二级指标组成的县级公立医院综合改革成效评估指标体系,在利用层次分析法确定指标权重。同时,对指标体系信度效度进行检验,证明所构建的指标体系能对县级公立医院综合改革成效作出合理的评估。     

A high-throughput 3-parameter flow cytometry-based cell death assay.

Apoptosis plays a role in many disease states, and the evaluation of novel therapeutics that alters the apoptotic cascade is an area of intense investigation. However, many generally available methods to evaluate cell death are either time consuming, imprecise, or both. We report a system that permits simultaneous evaluation of three apoptotic markers (cell membrane integrity, mitochondrial membrane potential, and cell cycle progression) with minimal technical manipulation. This system is particularly well-suited for toxicologic evaluation of novel compounds and profiling of new apoptosis-inducing agents.     

草场资源综合评价的数学模型

本文在前人评价我国草场资源工作的基础上,对草场资源评定因素进行了筛选与合理组合,编排了各评定因素的多层次评判顺序,组建了综合评价草场资源的模糊数学模型。首次在我国应用数学模型对草场资源进行了综合评价。为验证该数学模型的灵敏程度,作者列举了我国北方四个草场类型,作了具体计算。结果表明,数学模型本身具有较高的灵敏度,可以应用于评价我国北方天然草场资源。     

Prostate cancer outcome: epidemiology and biostatistics

Substantial gaps exist in our ability to accurately predict prognosis, and these gaps limit our understanding of the complex mechanisms that contribute to the greatest cancer epidemic of our time, prostate cancer. This review addresses contemporary epidemiologic and biostatistical issues in prostate cancer. It covers the science of outcome prediction and biomarker evaluation, recognition of the need to combine biomarkers to improve the accuracy of our outcome estimates and an analysis of current outcome assessment methods, including the TNM staging system and multivariate regression models. The simplicity and intuitive ease of the current TNM staging system must be balanced against its serious limitations in predictive accuracy and its loss of clinical utility. Statistical regression methods are required as we move to the new era of personalized medicine. We must implement statistical approaches that integrate the new molecular biomarkers with existing prognostic biomarkers to accurately predict which patients require treatment and to determine the optimal therapy.     

Distributed volume morphing

3D morphing is a popular technique for creating a smooth transition between two objects. In this paper we integrate volume morphing and rendering in a distributed network environment to speed up the computation efficiency. We describe our proposed system architecture of distributed volume morphing and the proposed algorithms, along with their implementation and performance on the networked workstations. A load evaluation function is proposed to partition the workload and the workstation cluster for better load balancing and then to improve the performance under highly uneven load situation. The performance evaluation for five load balancing strategies are conducted. Among them, the strategy ‘Request’ performs the best in terms of speedup. This revised version was published online in July 2006 with corrections to the Cover Date.     

Use of Indocyanine Green for Detecting the Sentinel Lymph Node in Breast Cancer Patients: From Preclinical Evaluation to Clinical Validation

Assessment of the sentinel lymph node (SLN) in patients with early stage breast cancer is vital in selecting the appropriate surgical approach. However, the existing methods, including methylene blue and nuclides, possess low efficiency and effectiveness in mapping SLNs, and to a certain extent exert side effects during application. Indocyanine green (ICG), as a fluorescent dye, has been proved reliable usage in SLN detection by several other groups. In this paper, we introduce a novel surgical navigation system to detect SLN with ICG. This system contains two charge-coupled devices (CCD) to simultaneously capture real-time color and fluorescent video images through two different bands. During surgery, surgeons only need to follow the fluorescence display. In addition, the system saves data automatically during surgery enabling surgeons to find the registration point easily according to image recognition algorithms. To test our system, 5 mice and 10 rabbits were used for the preclinical setting and 22 breast cancer patients were utilized for the clinical evaluation in our experiments. The detection rate was 100% and an average of 2.7 SLNs was found in 22 patients. Our results show that the usage of our surgical navigation system with ICG to detect SLNs in breast cancer patients is technically feasible.     

A novel method using 8-hydroperoxy-2'-deoxyguanosine formation for evaluating antioxidative potency

Degenerative diseases such as cancer are induced by oxidative genetic damage. Antioxidants can scavenge reactive oxygen species, but to prevent disease, they must do so quickly, before the DNA bases are damaged. In the present study, a novel method was established for evaluating the potency of antioxidants employing 2'-deoxyguanosine as a target and 2,2'-azobis(2-amidinopropane) dihydrochloride as a reactive oxygen generator. The reaction formed one product linearly with time. This product was a novel 8-hydroperoxy-2'-deoxyguanosine (8-OOHdG). Using this system, 81 antioxidants occurring in our diet were assayed for activity to suppress the formation of 8-OOHdG by high-performance liquid chromatography (HPLC). The system was useful for the evaluation of antioxidative potency, compared to another method utilizing 1,1-diphenyl-2-picrylhydrazyl (DPPH). Further, it was enabled to examine the synergism of antioxidants. The formation of 8-OOHdG started only after the antioxidants had been consumed. Ascorbic acid, quercetin, and epigallocatechin gallate together delayed the formation by the sum total of the delay times of each factor alone. The proposed method is simple and easy, and can evaluate which dietary antioxidants inhibit reactive oxygen species more quickly than the DNA bases are damaged.     

In vivo fluorescence lifetime imaging monitors binding of specific probes to cancer biomarkers

One of the most important factors in choosing a treatment strategy for cancer is characterization of biomarkers in cancer cells. Particularly, recent advances in Monoclonal Antibodies (MAB) as primary-specific drugs targeting tumor receptors show that their efficacy depends strongly on characterization of tumor biomarkers. Assessment of their status in individual patients would facilitate selection of an optimal treatment strategy, and the continuous monitoring of those biomarkers and their binding process to the therapy would provide a means for early evaluation of the efficacy of therapeutic intervention. In this study we have demonstrated for the first time in live animals that the fluorescence lifetime can be used to detect the binding of targeted optical probes to the extracellular receptors on tumor cells in vivo. The rationale was that fluorescence lifetime of a specific probe is sensitive to local environment and/or affinity to other molecules. We attached Near-InfraRed (NIR) fluorescent probes to Human Epidermal Growth Factor 2 (HER2/neu)-specific Affibody molecules and used our time-resolved optical system to compare the fluorescence lifetime of the optical probes that were bound and unbound to tumor cells in live mice. Our results show that the fluorescence lifetime changes in our model system delineate HER2 receptor bound from the unbound probe in vivo. Thus, this method is useful as a specific marker of the receptor binding process, which can open a new paradigm in the "image and treat" concept, especially for early evaluation of the efficacy of the therapy.     

Parallel application-level behavioral attributes for performance and energy management of high-performance computing systems

Run time variability of parallel applications continues to present significant challenges to their performance and energy efficiency in high-performance computing (HPC) systems. When run times are extended and unpredictable, application developers perceive this as a degradation of system (or subsystem) performance. Extended run times directly contribute to proportionally higher energy consumption, potentially negating efforts by applications, or the HPC system, to optimize energy consumption using low-level control techniques, such as dynamic voltage and frequency scaling (DVFS). Therefore, successful systemic management of application run time performance can result in less wasted energy, or even energy savings. We have been studying run time variability in terms of communication time, from the perspective of the application, focusing on the interconnection network. More recently, our focus has shifted to developing a more complete understanding of the effects of HPC subsystem interactions on parallel applications. In this context, the set of executing applications on the HPC system is treated as a subsystem, along with more traditional subsystems like the communication subsystem, storage subsystem, etc. To gain insight into the run time variability problem, our earlier work developed a framework to emulate parallel applications (PACE) that stresses the communication subsystem. Evaluation of run time sensitivity to network performance of real applications is performed with a tool called PARSE, which uses PACE. In this paper, we propose a model defining application-level behavioral attributes, that collectively describes how applications behave in terms of their run time performance, as functions of their process distribution on the system (spacial locality), and subsystem interactions (communication subsystem degradation). These subsystem interactions are produced when multiple applications execute concurrently on the same HPC system. We also revisit our evaluation framework and tools to demonstrate the flexibility of our application characterization techniques, and the ease with which attributes can be quantified. The validity of the model is demonstrated using our tools with several parallel benchmarks and application fragments. Results suggest that it is possible to articulate application-level behavioral attributes as a tuple of numeric values that describe course-grained performance behavior.     

Large-scale evaluation of plant growth in Arabidopsis thaliana by non-invasive image analysis

Analysis of plant growth is a necessary step for the evaluation of plant performance and productivity. For the study of plant performance in Arabidopsis thaliana, a number of mutant collections is available, but a comprehensive methodology to monitor their growth behaviour is lacking. We demonstrate that a novel system, comprising of digital video and image analysis can determine plant size non-destructively by measuring plant leaf area of A. thaliana ecotypes, Columbia 0 and Landsberg erecta, under short and long day conditions. This system provides a non-intrusive method for the monitoring and quantification of plant growth and the evaluation of growth rates. It is applicable for large-scale approaches, such as screening for alteration in growth (rate) in mutant collections. This new system provides the tool for a very accurate determination of individual plant growth rate, even during early developmental stages, requiring as little time as 1 week.     

A Novel Method Using 8-hydroperoxy-2′-deoxyguanosine Formation for Evaluating Antioxidative Potency

Degenerative diseases such as cancer are induced by oxidative genetic damage. Antioxidants can scavenge reactive oxygen species, but to prevent disease, they must do so quickly, before the DNA bases are damaged. In the present study, a novel method was established for evaluating the potency of antioxidants employing 2'-deoxyguanosine as a target and 2,2'-azobis(2-amidinopropane) dihydrochloride as a reactive oxygen generator. The reaction formed one product linearly with time. This product was a novel 8-hydroperoxy-2'-deoxyguanosine (8-OOHdG). Using this system, 81 antioxidants occurring in our diet were assayed for activity to suppress the formation of 8-OOHdG by high-performance liquid chromatography (HPLC). The system was useful for the evaluation of antioxidative potency, compared to another method utilizing 1,1-diphenyl-2-picrylhydrazyl (DPPH). Further, it was enabled to examine the synergism of antioxidants. The formation of 8-OOHdG started only after the antioxidants had been consumed. Ascorbic acid, quercetin, and epigallocatechin gallate together delayed the formation by the sum total of the delay times of each factor alone. The proposed method is simple and easy, and can evaluate which dietary antioxidants inhibit reactive oxygen species more quickly than the DNA bases are damaged.     

我国城市可持续发展能力评估指标的元数据分析与管理

在我国大力推动城市可持续发展,推进国家可持续发展实验区建设的同时,采用何种评估方法和数据开展城市可持续发展能力评估是需要重点解决的问题。近年来兴起的元数据理论与技术在解决评估数据质量控制方面被视为是一种行之有效的方法。针对我国现阶段使用的一些城市可持续发展能力评估指标体系的特点,通过深入剖析每一个指标数据的来源、获取手段、适用方法等特征,提出从软件工程学思路研发城市可持续发展能力评估元数据管理系统的具体方法,帮助可持续发展实验区高效获取和管理评估所需数据信息;以"十二五"科技支撑计划项目"城市可持续发展能力评估及信息管理关键技术研究与示范"中所建立的元数据规范,对其所包含的"数据发布日期"、"数据发布形式"、"空间范围"、"时间范围(起始时间、结束时间)"、"统计频率"、"数据安全限制分级"、"数据志说明"、"在线资源链接地址"和"数据统计单位信息(单位名称、联络人、联系电话、单位地址、邮件地址)"共14项为评估数据的关键元数据项,以此追踪对标的评估数据。并通过量化数据质量评分法针对数据质量在运用元数据追踪法前后的评价结果对比发现,被评估指标的数据质量在获得元数据支持时,其数据可靠性、可比性和可持续性方面的评价分值都获得了十分显著的改善。研究认为采用元数据理论在控制和保障城市可持续发展能力评估数据质量方面具有优势作用,开发有针对性的城市可持续发展能力评估元数据管理系统能够有效提高评估数据的综合评价结果。     

Interpolated Markov models for eukaryotic gene finding.

Computational gene finding research has emphasized the development of gene finders for bacterial and human DNA. This has left genome projects for some small eukaryotes without a system that addresses their needs. This paper reports on a new system, GlimmerM, that was developed to find genes in the malaria parasite Plasmodium falciparum. Because the gene density in P. falciparum is relatively high, the system design was based on a successful bacterial gene finder, Glimmer. The system was augmented with specially trained modules to find splice sites and was trained on all available data from the P. falciparum genome. Although a precise evaluation of its accuracy is impossible at this time, laboratory tests (using RT-PCR) on a small selection of predicted genes confirmed all of those predictions. With the rapid progress in sequencing the genome of P. falciparum, the availability of this new gene finder will greatly facilitate the annotation process.     

Use of a telemetry system to examine recovery of the cardiovascular system after excitement induced by handling stress in a conscious cynomolgus monkey (Macaca fascicularis)

The aim of this study was to determine the time required for the cardiovascular system of a conscious cynomolgus monkey, in which a telemetry had been implanted, to recover from excitement induced by handling stress. With enforcement of guidelines regarding safety pharmacological studies, cardiovascular studies in primates have become more important. However, as macaque monkeys are promptly excited under experimental procedures, it is often difficult to evaluate the drug effects on the cardiovascular system. Therefore, we tested monkey chair restraint and intravenous injection of saline. After monkey chair restraint and intravenous injection, approximately 30 minutes were required for recovery of both heart rate and blood pressure to their pre-treatment level; however, ECG parameters such as PR, QRS interval, and QTc did not drastically change. Based on our current results and with sufficient consideration of autonomic nervous effects, accurate evaluation of drug effects on the cardiovascular system should now be possible.     

Evaluation of measurement method of a bacterial sepsis marker, procalcitonin

Procalcitonin (PCT) is a novel biomarker for diagnosis and severity evaluation of bacterial sepsis. PCT measurement methods provided by Wako Pure Chemical Industries, Ltd. include a fully automated chemiluminescent immunoassay system SphereLight Wako and fully automated immunoanalyzer microTASWako i30 for a quantitative measurement, and immunochromatographic assay method, B R A H M S PCT-Q kit. This time, basic performance of SphereLight Wako and microTASWako i30 was evaluated as quantitative determination methods for PCT. The lower limit of detection for the both methods was 0.02 ng/ml. Correlation coefficients of 0.993 to 0.997 indicated good correlation between the two methods. The both methods allow quick and easy measurement of PCT, therefore they are helpful for diagnosis and severity evaluation of bacterial sepsis.