新型加速器放疗网络的研制及其临床应用

目的研制新型加速器放疗网络。方法采用服务器-客户端模式．服务器采用SQL—Server2000为数据库服务软件，客户端使用VC＋＋6．0语言编写．通过RTP—Link以及DICOMRT和新型加速器连接传输病人治疗参数资料。结果成功研锚的新型加速器放疗网络包括病人资料管理模块、定位计划管理模块、定位图像预处理模块、靶区勾画模块、计划设计管理模块（包含MLC（多叶光栅）设计以及低熔点挡铅设计）和治疗参数输出（包括报表打印、连接加速器）。结论网络系统操作简单，适合新型全数字化加速器的常规放射治疗管理．是科室常规放疗治疗的质量保证（QA）和质量控制（QC）的有效工具。     

Intelligent dialogue based on statistical models of clinical decision-making

The independence Bayesian model has been used widely in computer programs designed to support clinical decision-making. A reasoning strategy has been developed to enable these programs to conduct clinically pertinent dialogue and explain their reasoning. It has been implemented in a program for the diagnosis of acute abdominal pain based on the Bayesian model of de Dombal et al. Several features of the dialogue design have been adopted from artificial intelligence research, including shared initiative and critiquing. The program adopts a flexible goal-driven strategy, attempting to confirm the clinician's diagnosis or rule out the likeliest alternative. Symptoms and signs are selected in order of their expected weights of evidence in favour of the hypothesized disease.     

妇女妊娠期及分娩前后子宫肌层的超微结构研究

扫描电镜（ＳＥＭ）和透射电镜（ＴＥＭ）观察证明，妇女非妊娠期子宫肌层内存在有胶原纤维网（ＣＦＮ）。妊娠中期和晚期及分后ＣＦＮ出现以时相性崩解和重建为主要特征的改建过程以适应子宫生理性能的巨大变化和功能需要。平滑肌细胞，成纤维细胞，肌纤维母细胞，巨噬细胞，中性白细胞及肥大细胞参与改建过程。它们既参与ＣＦＮ的溶解和吸收，又参与其重新形成，显示双重形态和功能。还对ＣＦＮ改建的机理，参与细胞间的相互作用，     

Laboratory screening method for selection of healthy volunteers

The aim of laboratory screening in Phase I is to exclude subjects with subclinical illness, who might be at increased risk in the study, and who might also adversely influence interpretation of the results. A new method for laboratory screening, based on Bayesian probability theory, is proposed, which consists of: 1. Drawing up a list of diseases to be excluded. 2. Defining for each disease, the maximum acceptable risk that an included subject could be affected by it. 3. Identifying one test for each disease. 4. Using a contingency table to calculate the specificity of the test and integrating the estimated prevalence of the disease from epidemiological data. 5. Applying the percentage obtained by the calculation of specificity to the previously determined distribution of values in the volunteer population to identify the threshold value for inclusion. Use of this deductive method in screening volunteers for Phase I trials affords increased security of selection, while reducing the number of non-pertinent exclusions because of laboratory findings.     

人工神经网络在避孕研究中的应用

人工神经网络作为一门新兴的边缘学科,已开始在许多领域应用.本文将神经网络的方法应用于避孕方法选择方面,并通过ROC曲线比较了神经网络方法与传统的多元LO-gistic回归分析方法对训练样本和检验样本的表现.结果提示,神经网络方法有望在统计学、医学领域得到进一步应用和发展.     

真皮下血管网岛状皮瓣抗菌力的实验研究

为研究真皮下血管网薄皮瓣用于感染创面的可行性，在家猪臀部两侧分别形成以旋髂深血管主干分支为蒂的传统岛状皮瓣和远侧５０％修薄的真皮下血管网岛状皮瓣。用细菌计数、吖啶橙荧光染色测定白细胞吞噬指数和白细胞内杀菌率，应用激光多普勒、墨汁灌注、透明标本等方法，对两种皮瓣的抗菌力作自身对照研究。结果表明，真皮下血管网岛状皮瓣的抗菌力明显降低，可能与皮瓣修薄后血供减少，白细胞功能相应降低有关。     

Real-time refinement of subthalamic nucleus targeting using Bayesian decision-making on the root mean square measure.

The subthalamic nucleus (STN) is a major target for treatment of advanced Parkinson's disease patients undergoing deep brain stimulation surgery. Microelectrode recording (MER) is used in many cases to identify the target nucleus. A real-time procedure for identifying the entry and exit points of the STN would improve the outcome of this targeting procedure. We used the normalized root mean square (NRMS) of a short (5 seconds) MER sampled signal and the estimated anatomical distance to target (EDT) as the basis for this procedure. Electrode tip location was defined intraoperatively by an expert neurophysiologist to be before, within, or after the STN. Data from 46 trajectories of 27 patients were used to calculate the Bayesian posterior probability of being in each of these locations, given RMS-EDT pair values. We tested our predictions on each trajectory using a bootstrapping technique, with the rest of the trajectories serving as a training set and found the error in predicting the STN entry to be (mean +/- SD) 0.18 +/- 0.84, and 0.50 +/- 0.59 mm for STN exit point, which yields a 0.30 +/- 0.28 mm deviation from the expert's target center. The simplicity and computational ease of RMS calculation, its spike sorting-independent nature and tolerance to electrode parameters of this Bayesian predictor, can lead directly to the development of a fully automated intraoperative physiological procedure for the refinement of imaging estimates of STN borders.     

论高校大学生绿色网络环境的营造

介绍了网络文化的迅猛发展对高校大学生的学习方式、生活方式、交往方式产生了巨大冲击,尤其对大学生的身心发展产生了不可忽视的消极影响。指出在高校信息化校园建设中,要加强网络文明的建设,提倡和重视绿色网络,并且从高校大学生的实际出发,努力营造一个健康、文明、有序、安全、具有活力、没有污染的绿色网络环境。     

艺术嗓音歌声客观评价初探

目的探讨客观评价艺术嗓音歌声的方法。方法对48名声乐专业青年大学生录制专业训练歌声信号,提取歌声平均能量、频率误差、音域误差作为评价参数,使用神经网络方法和多元线性回归方法客观评价歌声质量,并与资深专业教师的主观评价进行比较。结果客观评价歌声质量的方法中,神经网络方法误差在4%之内,而线性回归方法误差在6%之内,前者较优。结论神经网络方法利用评价参数能正确客观评价歌声质量,有助于科学地指导选拔和训练艺术嗓音人才。     

What really matters in the social network–mortality association? A multivariate examination among older Jewish-Israelis

The aim of the inquiry was to examine the social network–mortality association within a wider multivariate context that accounts for the effects of background framing forces and psychobiological pathways. The inquiry was based upon the Berkman et al. (2000) conceptual model of the determinants of health. Its main purpose was to identify the salient network correlates of 7-year all cause mortality among Jewish men and women, aged 70 and over, in Israel (n = 1,811). The investigation utilized baseline data from a national household survey of older adults from 1997 that was linked to records from the National Death Registry, updated through 2004. At the time of the study, 38% of the sample had died. Multivariate Cox hazard regressions identified two main network-related components as predictors of survival: contact with friends, a social network interaction variable, and attendance at a synagogue, a social engagement variable. Friendship ties are seen to uniquely reduce mortality risk because they are based on choice in nature, and reflect a sense of personal control. Synagogue attendance is seen to promote survival mainly through its function as a source of communal attachment and, perhaps, as a reflection of spirituality as well. Other possibly network-related correlates of mortality were also noted in the current analysis—the receipt of instrumental support and the state of childlessness. The study on which this article is based was made possible by grants from the Israel Ministry of Science and Technology to the Israel Gerontological Data Center.