形态学实验室教学资源的管理探索

形态学实验室承担着多门基础医学课程的实验教学,加强形态学实验室教学资源的规范化管理和实验室内涵建设,提高实验教学质量,是基础医学创新实验教学改革的要求。大体标本和组织切片是重要的形态学教学资源,直接影响到实验教学的质量。通过对大体标本和组织切片合理地编号、归档、日常维护及计算机管理,形态学网上资源库建设等措施,可使形态学实验室的资源的利用更加科学规范和高效,并为实验教学提供有力的支持和保障。     

国外残疾人就业立法实践对我国的启示

残疾人就业是残疾人的一项基本权利,是实现生存与发展、改善生活水平、平等参与社会活动、共享物质文化成果的基本途径。当前,我国残疾人立法工作推进较为缓慢,立法层级不高,相关机构建设也不健全。借鉴美、英、日等国经验,加强残疾人就业立法,完善相关政策法规是保护和促进残疾人就业的重要措施,也是社会文明、公平的具体体现。     

基于SBE法的北京城市公园植物景观美学质量评价

在全面踏查北京3个代表性城市公园的基础上,选取公园内36个典型植物群落景观作为研究对象,运用心理物理学派的美景度评价法(SBE法)对其进行美学质量评价,以寻求最佳植物配置模式,并建立美景度与主要景观因子之间的景观评价模型。结果表明：公园36个植物景观美景度值范围为-1.521-1.839,评价值相对较高的为乔灌草复层结构,而其中以乡土树种为主、郁闭度较大、树种组成及色彩数量相对较丰富的植物群落更受群众欢迎;不同群落结构景观美景度体现出乔灌草结构﹥乔草结构﹥灌草结构﹥草坪结构;植物群落景观的郁闭度、生活型构成、树种组成数量对公园景观美学质量影响较大,建立的多元线性评价模型能够较准确的进行公园美景度预测。     

波致海床液化引发底边界高浓度悬浮体形成过程的试验研究

国内外众多现场原位观测的实测资料,其结果表明粉质土海床在波浪作用下,水体底边界会产生高浓度悬浮体。利用在黄河三角洲采集的粉质土制作试验土床开展室内水槽试验,旨在揭示波浪荷载持续作用下海床液化引发底边界产生高浓度悬浮体的过程及机制。根据试验现象及海床土体的孔隙水压力变化、水体悬浮泥沙浓度的时空分布,以及悬浮泥沙的粒度变化等特征,分析认为波浪导致的海床液化能够引发底边界高浓度悬浮体的形成。大量的土体细颗粒从液化土体的振荡边界与渗流通道中的析出,是导致高浓度悬浮体形成的重要原因。对进一步探讨黄河口区异重流现象的产生等科学问题具有一定的指导意义。     

Radial acceleration estimation of multiple high maneuvering targets

The acceleration of a high maneuvering target in signal processing is helpful to enhance the performance of the tracker and facilitate the classification of targets. At present, most of the research on acceleration estimation is carried out in cases of a single target with time-frequency analysis methods such as fractional Fourier transform （FRFT）, Hough-ambiguity transform （HAT）, and Wigner-Vil e distribution （WVD）, which need to satisfy enough time duration and sampling theorem. Only one reference proposed a method of acceleration estimation for multiple targets based on modified polynomial phase transform （MPPT） in the lin-ear frequency modulation （LFM） continuous-wave （CW） radar. The method of acceleration estimation for multiple targets in the pulse Doppler （PD） radar has not been reported so far. Compressive sensing （CS） has the advantage of sampling at a low rate and short duration without sacrificing estimation performance. There-fore, this paper proposes a new method of acceleration estimation for multiple maneuvering targets with the unknown number based on CS with pulse Doppler signals. Simulation results validate the effectiveness of the proposed method under several conditions with different duration, measurement numbers, signal to noise ra-tios （SNR）, and regularization parameters, respectively. Simulation results also show that the performance of the proposed method is superior to that of FRFT and HAT in the condition of multiple targets.     

现代教育技术在大学化学实验中的应用

论述了实验教学在化学教学中的中心地位,化学实验教学作为理论教学的补充与发展,是培养学生理论联系实际,掌握基本实验技术,提高独立操作能力和培养科学素质的重要途径。对比传统教学手段的缺点和不足,初步探讨和实践了现代教育技术在大学化学实验课程的不同类型实验中的应用。利用现代教育手段和方法可以优化实验教学,实现教学过程的最优化,对培养具有较高科学素质的创新型人才起到了积极的促进作用。     

猪型布鲁氏菌Omp31抗原表位基因的性质分析

布鲁氏菌病是一种由革兰氏阴性小杆菌:布鲁氏菌(Brucella)引起的,主要在动物中以流产和发热为表现特征的疾病.以猪型布鲁氏菌病Omp31抗原表位基因作为研究对象,对基因的种间同源性、亚型分类、结构性质、抗原表位性质等信息进行了分析,并且作出了相关预测.随着预测方法的不断完善,将会对布鲁氏菌病其它抗原表位基因的研究提供帮助,从而为该疾病的防疫、治疗提供理论依据,同时也可以促进相关疫苗的研制.     

基于TU模式的历史关系数据库的研究

给出了TU模式的形式化定义，结合实例对该模式进行了深入的分析和研究，指出了其优缺点，并提出了对该模式的下一步研究思想。     

Parallelization and Performance Optimization on Face Detection Algorithm with OpenCL: A Case Study

Face detect application has a real time need in nature. Although Viola-Jones algorithm can handle it elegantly, today’s bigger and bigger high quality images and videos still bring in the new challenge of real time needs. It is a good idea to parallel the Viola-Jones algorithm with OpenCL to achieve high performance across both AMD and NVidia GPU platforms without bringing up new algorithms. This paper presents the bottleneck of this application and discusses how to optimize the face detection step by step from a very nave implementation. Some brilliant tricks and methods like CPU execution time hidden, stubbles usage of local memory as high speed scratchpad and manual cache, and variable granularity were used to improve the performance. Those technologies result in 4-13 times speedup varying with the image size. Furthermore, those ideas may throw on some light on the way to parallel applications efficiently with OpenCL. Taking face detection as an example, this paper also summarizes some universal advice on how to optimize OpenCL program, trying to help other applications do better on GPU.