跨学科体验式学习的实践路径与保障机制——基于加拿大多伦多大学的个案研究

建设世界一流大学和一流学科是我国高等教育领域中长期改革与发展的目标之一。学习借鉴世界著名大学一流人才培养的成功经验，可更加快速和有效地推进我国高校的"双一流"建设。加拿大多伦多大学工程学院是最早采用跨学科体验式学习的学院之一，主要通过设置跨学院学位与课程、实施体验式研究活动与实习项目、设立专门机构等，来致力于培养世界一流人才。借鉴多伦多大学卓越人才培养经验，我国高校可通过变革"教"与"学"、丰富学生学习体验、强调国际视野和加强伙伴合作、合理组织和调配战略资源等，来推进世界一流大学和一流学科的建设步伐，培养更多高层次复合型世界一流人才。     

大数据背景下基于社交网络的聚类随机游走抽样算法研究

数字经济时代,社交网络作为数字化平台经济的重要载体,受到了国内外学者的广泛关注。大数据背景下,社交网络的商业应用价值巨大,但由于其网络规模空前庞大,传统的网络分析方法 因计算成本过高而不再适用。而通过网络抽样算法获取样本网络,再推断整体网络,可节约计算资源, 因此抽样算法的好坏将直接影响社交网络分析结论的准确性。现有社交网络抽样算法存在忽略网络内部拓扑结构、容易陷入局部网络、抽样效率过低等缺陷。为了弥补现有社交网络抽样算法的缺陷,本文结合大数据社交网络的社区特征,提出了一种聚类随机游走抽样算法。该方法首先使用社区聚类算法将原始网络节点进行社区划分,得到多个社区网络,然后分别对每个社区进行随机游走抽样获取样本网 络。数值模拟和案例应用的结果均表明,聚类随机游走抽样算法克服了传统网络抽样算法的缺点,能够在降低网络规模的同时较好地保留原始网络的结构特征。此外,该抽样算法还可以并行运算,有效提升抽样效率,对于大数据背景下大规模社交网络的抽样实践具有重大现实意义。     

教师职业忠诚与学校人本管理

稳定的教师职业忠诚是一种宝贵的教育资源，爱岗敬业是教师职业忠诚最显著的特征。然而，当前教师职业忠 诚度在教师队伍中整体上呈衰减态势，有的教师甚至发生职业疏离与异动，原因虽然是多方面的，但学校管理缺乏对教师的人 文关怀也是其重要的一种原因。领导者确立新的教师观与教师管理观；无私地放弃自己某些特殊权利；智慧地践行多种人本 化管理措施，是学校管理提升教师职业忠诚的应有之举。     

Closure property of consistently varying random variables based on precise large deviation principles

Let X = {X₁, X₂, …} be a sequence of independent but not necessarily identically distributed random variables, and let η be a counting random variable independent of X. Consider randomly stopped sum S_η = ∑^η_{k = 1}X_k and random maximum S_(η) ? max?{S₀, …, S_η}. Assuming that each X_k belongs to the class of consistently varying distributions, on the basis of the well-known precise large deviation principles, we prove that the distributions of S_η and S_(η) belong to the same class under some mild conditions. Our approach is new and the obtained results are further studies of Kizinevi?, Sprindys, and ?iaulys (2016) and Andrulyt?, Manstavi?ius, and ?iaulys (2017).     

论民族地区全面建设小康社会中的科技创新

要文章立足于民族地区社会经济发展和演变的实际,分析了民族地区全面建设小康社会中的科技创新现状,探讨了民族地区走科技创新的新路子的途径。     

中药灌肠治疗慢性肾功能衰竭的疗效观察

目的探讨中药灌肠治疗慢性肾功能衰竭(CRF)的临床疗效。方法将60例CRF患者随机分为2组,每组30例。两组均给予优质低蛋白饮食、降血压、调血脂、降血糖、纠正贫血等一体化治疗,观察组在此基础上予以清肾汤灌肠治疗。比较两组临床疗效及血肌酐(Scr)、尿素氮(BUN)水平。结果观察组总有效率显著高于对照组(P0.05)下同,差异有统计学意义;治疗后,两组Scr、BUN水平均较治疗前明显降低(P0.05或P0.01),但观察组降低幅度更为显著。结论中药灌肠可有效降低CRF患者血Scr和BUN水平,提高临床疗效,值得临床推广应用。     

以服务基层为导向的全科医学人才培养模式的探索

当前，我国基层卫生技术人员队伍建设相对滞后，已经成为制约基层卫生机构发展的瓶颈。医学院校充分发挥人才培养职能，积极探索符合基层医疗服务特点的全科医生培养模式，对推动我国基层医疗卫生服务质量的提高，促进我国医药卫生体制改革的深化具有重要作用。本文对现阶段我国全科医学人才培养中存在的问题进行了分析，介绍了开展全科医学教育的重要意义，并结合辽宁医学院的工作实践，提出了以服务基层为导向的全科医学人才培养的建议和措施。     

鲍德温•斯宾塞与后维多利亚时代的古典人类学

The post-Victorian anthropologist Baldwin Spencer was the first to investigate the central and northern aboriginal tribes of Australia. His ethnographic works in this area have greatly in-fluenced related disciplines and studies in fields such as kinship, totem worship, and primitive reli-gions. In the field of classics and anthropology, Spencer’s academic heritage has received wide-spread respect and recognition, and has made sub-sequent academic discussion possible. In order to present Spencer’s personal experiences and aca-demic ideas clearly and comprehensively, it is nec-essary to return to the post-Victorian context, and comb Spencer’ s life history and academic history. Taking important clues from various times an e-vents in his life, the paper introduces three peri-ods:Spencer’s early training in the discipline and his epistemic background, his medium-term eth-nographic investigations and works, and the later investigations of Tierra del Fuego. Textual study, based on Spencer’s life history and academic histo-ry, is very useful to understand his ethnographic investigations. Sir Walter Baldwin Spencer ( 1860 -1929 ) was born on 23 June, 1860 in Lancashire, Eng-land. Spencer was educated at Old Trafford School and at the Manchester School of Art. His interest in art and sketching was lifelong, and would reveal itself in his competence as a scientific draftsman and illustrator ( D. J. Mulvaney,1990 ) . Entering Owens College ( Victoria University of Manchester) in 1879, Spencer intended to study medicine. In-spired by Milnes Marshall, a disciple of Darwin disciple, he became a committed evolutionary biol-ogist, soon abandoning conventional religion. He entered the University of Oxford in 1881 to study
science under Professor H. N. Moseley, who com-bined an enthusiasm for evolutionary biology with ethnological interests. Spencer grasped Oxford ’ s diverse opportunities, which included lectures by Ruskin and E. B. Tylor. In 1887, Spencer ar-rived at Melbourne University . With his colleague Professor David Masson, Spencer helped to trans-form university standards and they co-operated as entrepreneurs of Australian science. Spencer was recruited as zoologist and photog-rapher in the 1894 Horn scientific exploration ex-pedition to central Australia. His anthropological interest was rekindled when he met F. J. Gillen, the Alice Springs postmaster, during the expedi-tion. In 1896 Spencer joined Gillen for the most intensive fieldwork then attempted in Australia. The Native Tribes of Central Australia ( 1899 ) , which resulted, was to influence contemporary theories on social evolution and interpretations of the origins of art and ceremonial practices. Spencer and Gillen drove a buggy from Oodnadatta to Borroloola in 1901-02 . Their research resulted in The Northern Tribes of Central Australia ( 1904 );Haddon had written that the names of Spencer and Gillen are familiar to every ethnologist in the world, and probably no books on ethnology have been so wide-ly noticed and criticized as have The Native Tribes of Central Australia and The Northern Tribes of Central Australia (A. C. Haddon ,1902). To assist the Government of the Common-wealth, Spencer was appointed Special Commis-sioner for Aboriginals in the Northern Territory, and also their Chief Protector. He also led three other scientists, including J. A. Gilruth, on the 1911 Preliminary Scientific Expedition. Native Tribes of the Northern Territory of Australia (1914)
described his ethnographic observations and the ex-tensive collections made on the expedition. At the government ’ s request, Spencer visited Alice Springs and Hermannsburg in 1923 . He published The Arunta: A Study of a Stone Age People ( 2 vols, 1927 ) to respond to the criticisms derived from Carl Stretlow and defend his work. A popular rewrite of previous books followed—Wanderings in Wild Australia ( 2 vols, 1928 )—this time under his sole authorship. Spencer retired as emeritus professor in 1919 . His nerves and his judgments were impaired from the strain of continuous overwork, the virtual disin-tegration of his marriage, and he was finally hospi-talized in 1921 . His health improved and within two years he resumed anthropological activities and rebuilt his art collection. He sailed to Tierra del Fuego together with Jean Hamilton to undertake anthropological studies early in 1929. Spencer, with an unrivalled record of anthropological field-work in Australia, undertook this journey to fill a gap in our knowledge, and compare very different and remote races of mankind (A. C. H. ,1931). However, his gallant attempt was prematurely frus-trated by his death from angina pectoris, at which point he had been only two months in the field. His notes were organized and published as Spencer’s Last Journey (1931). His achievements were recognized. Elected as a fellow of the Royal Society in 1900 , he was ap-pointed C. M. G. in 1904 and K. C. M. G. in 1916 . Manchester University conferred him with an honorary doctorate of science, while Melbourne a-warded him a doctorate of letters. Exeter College, Oxford, elected him to an honorary fellowship in 1907 , and stained glass in its hall commemorates his contribution. James Frazer’s letter to Spencer in 1899 was prophetic: books like mine, merely speculative, will be superseded sooner or later ( the sooner the better for the sake of truth) by bet-ter induction based on fuller knowledge;books like yours, containing records of observations, will nev-er be superseded ( John M. Cooper, 1932 ) . Therefore, the sense and value of reading and un-derstanding Spencer and his books today goes with-out saying.     

A permutation test approach to the choice of size k for the nearest neighbors classifier

The k nearest neighbors (k-NN) classifier is one of the most popular methods for statistical pattern recognition and machine learning. In practice, the size k, the number of neighbors used for classification, is usually arbitrarily set to one or some other small numbers, or based on the cross-validation procedure. In this study, we propose a novel alternative approach to decide the size k. Based on a k-NN-based multivariate multi-sample test, we assign each k a permutation test based Z-score. The number of NN is set to the k with the highest Z-score. This approach is computationally efficient since we have derived the formulas for the mean and variance of the test statistic under permutation distribution for multiple sample groups. Several simulation and real-world data sets are analyzed to investigate the performance of our approach. The usefulness of our approach is demonstrated through the evaluation of prediction accuracies using Z-score as a criterion to select the size k. We also compare our approach to the widely used cross-validation approaches. The results show that the size k selected by our approach yields high prediction accuracies when informative features are used for classification, whereas the cross-validation approach may fail in some cases.