多发性腔隙性脑梗死病因分析

目的探讨多发性腔隙性脑梗死相关因素病。方法选择导致或诱发多发性腔隙性脑梗死的主要危险因素进行分析,包括高血压病、糖尿病、冠心病、高脂血症等。结果年龄≤55岁的多发性腔隙性脑梗死患者明显少于年龄>55岁的患者(P<0.05);与对照组相比,观察组中存在高血压病、糖尿病、冠心病、高脂血症和吸烟史的患者明显增多(P<0.05);结论高血压病、糖尿病、冠心病、高脂血症和吸烟史是本病的直接原因,而年龄是多发性腔隙脑梗死不可干预的危险因素。

The Influence of Combining Computer-Assisted Language Learning With Instruction on Chinese College Students’L2 Pragmatic Ability

In the area of computer-assisted language learning(CALL),although a number of studies have adopted various CALL-based devices(e.g.,blogs,gaming,and synthetic environments)to foster second language(L2)acquisition,the vital component of instruction has received little attention.The present study explored the usefulness of CALL-based communication in conjunction with instruction on EFL learners’L2 pragmatic development.Sixty-two EFL students from a university in China were recruited for the current research.The experimental group communicated with a native English speaker through synchronous messaging via Skype and had two instructional sessions pertinent to compliment responses,while the control group interacted with a native English speaker via Skype without having the teaching intervention.Findings from an independent samples t-test demonstrated that the experimental group produced significantly more proper compliment responses in the immediate posttest than the control group(p<.001).Moreover,a significant difference(p<.001)was found for the experimental group between the preintervention and delayed post-intervention mean scores,suggesting that CALL coupled with teaching intervention had a long-term impact on learners’L2 pragmatic development.These findings enrich our understanding of the beneficial and lasting influence of combining CALL with instruction on EFL students’pragmatic development.In addition,pedagogical implications for deploying CALL paired with L2 pragmatics instruction are provided.

EFFECTS OF ELECTRO-ACUPUNCTURE ON SOMATOSTATIN AND PANCREATIC POLYPEPTIDE IN ISCHEMIC CEREBROVASCULAR DISEASES

The levels of somatostatin(SS)in CSF and blood and pancreatic polypeptide(PP)inplasma were measured by radioimmunoassay in 64 patients with acute ischemiccerebrovascular diseases(ICVD),randomly divided into two groups:group 1(n=31,bothelectro-acupuncture and routine treatments given)and group 2(n=33,routine treatment)and 26 non-ICVD patients were used as controls.The points of electro-acupuncture wereQuchi(LI 12),Waiguan(SJ 5)and Huantiao(GB 30)and Zusanli(St 36).After a courseof treatment,the SS levels in plasma and CSF were significantly increased in the patientsof group 1 with good result and their plasma PP level had no significant change.In thepatients with poor result,however,the PP level was significantly decreased.The resultssuggested that electro-acupuncture might play an active role in alleviating the SSmetabolic disturbance in CNS of ICVD patients.

Zhu Pinpin:Making Robots with “Brains”

IN July,more than 1,700 top AI experts gathered at the 25th International Joint Conference on Artificial Intelligence（IJACI-16）in New York.A grand meeting for both AI researchers and practitioners,IJCAI is also one of the major global academic conferences in this field.One Chinese scientist stood out among the speakers.

The Application of Computer Technology in Music Education

computer music is a new type of multi-disciplinary integration of computer technology with traditional music, to meet the development needs of music education refom.Music education in the integration of computer music technology is imminent. The articles make the analysis on teaching mode of computer music courses and teaching environment constructed, and the paper proposed some viewpoint on the necessity and feasibility of computer music technology teaching,positive and negative impacts and future trends.The application of computer technology to music teaching in schools, not only solve the traditional teaching of the long-troubled, and can receive better teaching effect, which has a very important show significance. I hope to play a guidance and reference promotion and teaching of computer music technology in-depth.

Visualizing the Knowledge Domain of Humor Processing: A Scientometric Review(2000-2016)

The scientific literature of humor processing between 2000 and 2016 was reviewed by means of scientometric methods. The clustered and visualized document co-citation network of the humor processing knowledge domain was analyzed in terms of common topics and content of co-cited references. Emerging trends of humor processing were detected through reference citation bursts. The combined dataset of 816 bibliographic records and 42,687 references was compiled through a basic topic search. In order to ensure adequate coverage of the field, the search was expanded to include literature that referenced literature found in the initial basic topic search. Results produced a document co-citation network of humor processing with ten clusters, which showed that social cognition and fMRI study both served as important foundations for work in this knowledge domain. Personality studies in humor processing as well as research about the right hemisphere＇s role in humor processing also received considerable attention. These key areas of study accounted for 4 clusters. The remaining six clusters included studies on sexual selection, figurative language, prejudice, facial expression, sleep deprivation and infant humor perception associated with the knowledge domain. In this study, burst detection in references revealed topics of high interest to researchers as well as emerging trends in humor processing research.

Military Brain Science - How to influence future wars

Military Brain Science is a cutting-edge innovative science that uses potential military application as the guidance. It was preliminarily divided into 9 aspects by authors： understanding the brain, protecting the brain, monitoring the brain, injuring the brain, interfering with the brain, repairing the brain, enhancing the brain, simulating the brain and arming the brain. In this review, we attempt to propose the concept, content and meaning of the Military Brain Science, with the hope to provide some enlightenment and understandin~ of the research area.

A Connectome Computation System for discovery science of brain

Much like genomics, brain connectomics has rapidly become a core component of most national brain projects around the world. Beyond the ambitious aims of these projects, a fundamental challenge is the need for an efficient, robust, reliable and easy-to-use pipeline to mine such large neuroscience datasets. Here, we introduce a computational pipeline--namely the Connectome Compu- tation System （CCS）-for discovery science of human brain connectomes at the macroscale with multimodal magnetic resonance imaging technologies. The CCS is designed with a three-level hierarchical structure that includes data cleaning and preprocessing, individual connectome mapping andconnectome mining, and knowledge discovery. Several functional modules are embedded into this hierarchy to implement quality control procedures, reliability analysis and connectome visualization. We demonstrate the utility of the CCS based upon a publicly available dataset, the NKI- Rockland Sample, to delineate the normative trajectories of well-known large-scale neural networks across the natural life span （6-85 years of age）. The CCS has been made freely available to the public via GitHub （https：//github.com/ zuoxinian/CCS） and our laboratory＇s Web site （http：//lfcd. psych.ac.cn/ccs.html） to facilitate progress in discovery science in the field of human brain connectomics.