“五输穴”别名命名规律浅析

经络腧穴经历几千年的传承，名称多有变化。而每个名称的由来必有一定的依据。腧穴之“别名”并非为腧穴之“绰号”，而是在流传过程中的某一个时期中出现或公认的穴位名称，这种现象是由于时代原因导致的。据前人总结，穴位命名（主要指正名）方法包括写实法、比拟法、象形法、会意法等。相比之下，别名命名除包含以上规律外，具有更通俗易懂、更口语化，利于传播且与穴位主治关系更加紧密，更能够反映穴位的功能等特点。本文主要就“五输穴”别名的研究进行论述。总结《针灸大成》、《备急千金要方》、《针灸甲乙经》、《铜人腧穴针灸图经》、《外台秘要》等对腧穴别名的记载，归纳整理出77个“五输穴”的别名。然而这些别名中也存在错写、误传、互用等问题，由以上原因得来不能看作腧穴的“别名”，而应该作为错误对待。

《难经》以色肠命腑名的价值

《难经》是一部可与《内经》相媲美的古代医学典籍,历久弥新。因其篇幅短小,词语艰涩而较少为后世医家所重视。但是,《难经》中对人体脏腑功能的阐述,可谓言简意赅,丝毫不逊医典之风范。

五四新文学人物命“名”策略与家族精神血脉的中断——五四新文学人物姓名的文化解析

在五四新文学作品中,家族解体除了表现在"父权制"的衰落和家族伦理的崩溃之外,还表现在对文学作品中人物的"命名"策略方面。文章通过对五四新文学作品中人物姓名的解析,分析这一命名策略背后蕴含的家族必然解体的文化寓意。

Classification and Nomenclature of Plant Metallothionein-like Proteins Based on Their Cysteine Arrangement Patterns

随着植物基因组研究的进展 ,在基因文库和蛋白文库登录的植物类金属硫蛋白基因已超过 5 0个 ,接近金属硫蛋白总数的 1/ 3,而且有不断上升的趋势。鉴于目前植物类金属硫蛋白命名与分类随意性太大 ,很有必要建立一个统一合理的命名与分类法。对植物类金属硫蛋白一级结构进行详细分析后 ,发现该蛋白两端富含半胱氨酸的区域内半胱氨酸的排列方式颇具规律性 ,进而提出了以半胱氨酸排列方式为基础的分类及命名法 ,并阐述了采用这种方法的理由及其可行性。

The type specimens of European butterflies from the Linnaeus collection(Lepidoptera:Rhopalocera)

The status of primary types of European butterflies established by C.Linnaeus is revised.Lectotype status is confirmed for 38 taxa.Lectotypes of the following taxa are designated in this paper:Papilio apollo Linnaeus,1758;P.daplidice Linnaeus,1758 and P.palaeno Linnaeus,1761.For the following 18 species-group taxa,the status of primary types changed from lectotypes to holotypes(by monotypy)due to their presence in the Linnean collection by single specimens:Papilio aglaja Linnaeus,1758;P.atalanta Linnaeus,1758;P.boeticus Linnaeus,1767;P.cardui Linnaeus,1758;P.cinxia Linnaeus,1758;P.deianira Linnaeus,1764;P.euphrosyne Linnaeus,1758;P.hero Linnaeus,1761;P.janira Linnaeus,1758;P.jurtina Linnaeus,1758;P.lathonia Linnaeus,1758;P.levana Linnaeus,1758;P.megera Linnaeus,1767;P.paphia Linnaeus,1758;P.polychloros Linnaeus,1758;P.rhamni Linnaeus,1758;P.rubi Linnaeus,1758 and P.sinapis Linnaeus,1758.Butterflies that do not have a pronounced sexual dimorphism and bright and contrasting coloration in the Linnean collection are represented in most cases by a single type specimen.The largest,brightest and most beautiful butterflies in the Linnean collection have a type series of the maximum size(4 specimens).There are no series of 5 or more specimens for European butterflies in Linnaeus’collection.

Correct name for the Asian Russet Sparrow

The widespread Russet Sparrow is usually called Passer rutilans(Temminck).I have shown that this specific name was published on 31 December 1836,and that it is preceded by cinnamomeus,published by Gould on 8 April 1836.The species thus should be called Passer cinnamomeus(Gould,1836)due to the Principle of Priority.The three generally recognized subspecies should bear the following names:P.cinamomeus rutilans(Temminck,1836),P.cinnamomeus intensior Rothschild,1922,and P.cinnamomeus cinnamomeus(Gould,1836),respectively.

Recognition of Chinese Organization Name Using Co-training

Chinese organization name recognition is hard and important in natural language processing. To reduce tagged corpus and use untagged corpus,we presented combing Co-training with support vector machines (SVM) and conditional random fields (CRF) to improve recognition results. Based on principles of uncorrelated and compatible,we constructed different classifiers from different views within SVM or CRF alone and combination of these two models. And we modified a heuristic untagged samples selection algorithm to reduce time complexity. Experimental results show that under the same tagged data,Co-training has 10% F-measure higher than using SVM or CRF alone; under the same F-measure,Co-training saves at most 70% of tagged data to achieve the same performance.

Acquiring synonymous attribute phrases for named entities via online encyclopedia

In this work,an approach is proposed to acquire synonymous attribute phrases of named entities(NEs) from an online encyclopedia.Synonymous attribute phrases are the phrases that express the same attribute with different surface forms for a class of NEs.Specifically,the proposed approach is composed of three stages.Firstly,the entries related to a given NE class are automatically selected from an online encyclopedia.Secondly,attribute phrases are extracted based on the statistics of phrase frequency.Thirdly,synonymous attributes are identified in a pairwise manner through a classification framework combining multiple features.The proposed approach is applied on Baidu Baike,a Chinese online encyclopedia,for four different NE classes.Experimental results show that the approach obtains an average precision of 74%and an average F-value of 65%for the four NE classes.In particular,thousands of synonymous attribute phrase pairs are acquired for each class,which demonstrates the effectiveness of the proposed approach.

Nomenclature for lunar features at the Chang＇e-3 landing site

Nomenclatures for lunar features always accompany the progresses of human lunar exploration,which has an important dual meaning in culture and science. The naming of lunar features not only can commemorate the outstanding contributions of academics,masters in various fields, and popularize the traditional cultures of ethnic groups all over the world, but also have a critical function of providing accurate indicative information on features with special morphology, origin, nature and scientific value. However, nomenclature for features at the Chang'e-3 landing site, which has a more arbitrary form without many constrains posed by a uniformed system, is unlike the features for other morphological units.This paper originated from the actual needs for the description of scientific exploration activities, interpretation of scientific research and dissemination of scientific results. Some prominent morphological units with great scientific importance and identification purpose were chosen from the images taken by the terrain camera, panorama cameras and landing camera onboard the Chang'e lander and Yutu rover. A nomenclature system was established under the three enclosures, four quadrants and twenty-eight lunar lodges' system of the Chinese ancient sky division method. Finally, a standard feature names set waspublished after some necessary approval procedures by the International Astronomical Union.

An Overlay Network for Monitoring Activities of Computer Viruses

To accurately track computer viruses,an overlay network that monitors the activities of viruses is constructed.Identifying and locating nodes infected by virus on network is achieved by a naming system in which a node in the network is mapped to a unique serial number of the hard-drive.By carefully monitoring and recording sensitive communication between local system and remote nodes on the network,and suspicious operations on files that originate from remote nodes and entered via some form of file transfer,activities of viruses in both local and network level are recorded and ready for future analysis.These data can also be used in analysis of the mechanism of a computer virus as well as its spreading mode and pattern.

Object and Its Worry about Existence

The presented work describes principles of functioning of the object as a philosophical category on the basis of principles discovered in different, concrete objects. At the beginning, a supposition is thus made that principles are common and describe the fundamental mode of the organization of matter. The regeneration of its elements is the basic goal of the control of an object. The control systems try to allow elements to optimize their state depending on circumstances and occasionally in advance. The input system is the first one from these systems. It controls the input of material for the regeneration and at the same time is the source of primary information concerning its state in the environment and its development in time. The system of the control of the distribution of the energy named TOT is another element of the control. The system named EM0 controls the process of the regeneration on the basis of information about the successfulness of elements involved into the regeneration. Finally, the system named EM 1 controls the dynamics of the boundary of the object on the basis of information describing the tension on this boundary. The second goal of the control of an object, besides the regeneration, is to optimize the existence of the object as whole. New global criteria arise and are used throughout the process of the control for this sake.

The Analysis of＂House-for-Pension＂ in China

As China has entered the aging society, the social and family are facing an increasing pressure in pension system. To explore diversified pension model for China has become the key to solve this problem. In 2013 the state council issued an document named Opinions to Speed Up the Derelopment of Pension Services, which clearly put forward that the government should promote the elderly housing reverse mortgage endowment insurance pilot ＂. ＂To implement housing endowment＂, practiced successfully in European and American countries, has proved a good way to solve the problem of lack of pension. This paper makes a analysis of the model, including the necessity,some practice and restricting factors promoting in our country, so as to explore countermeasures and Suggestions of the feasibility.

Knowledge Graph Based Method for Tracing Quality of Aerospace Products

Nowadays,the internal structure of spacecraft has been increasingly complex.As its“lifeline”,cables require extensive manpower and resources for manual testing,and it is challenging to quickly and accurately locate quality problems and find solutions.To address this problem,a knowledge graph based method is employed to extract multi-source heterogeneous cable knowledge entities.The method utilizes the bidirectional encoder representations from transformers(BERT)network to embed word vectors into the input text,then extracts the contextual features of the input sequence through the bidirectional long short-term memory(BiLSTM)network,and finally inputs them into the conditional random field(CRF)network to predict entity categories.Simultaneously,by using the entities extracted by this model as the data layer,a knowledge graph based method has been constructed.Compared to other traditional extraction methods,the entity extraction method used in this study demonstrates significant improvements in metrics such as precision,recall and an F1 score.Ultimately,employing cable test data from a particular aerospace precision machining company,the study has constructed the knowledge graph based method in the field to achieve visualized queries and the traceability and localization of quality problems.

Functional MRI mapping of category-specific sites associated with naming of famous faces,animals and man-made objects

Objective Category-specific recognition and naming deficits have been observed in a variety of patient populations. However, the category-specific cortices for naming famous faces, animals and man-made objects remain controversial. The present study aimed to study the specific areas involved in naming pictures of these 3 categories using functional magnetic resonance imaging. Methods Functional images were analyzed using statistical parametric mapping and the 3 different contrasts were evaluated using t statistics by comparing the naming tasks to their baselines.The contrast images were entered into a random-effects group level analysis.The results were reported in Montreal Neurological Institute co-ordinates,and anatomical regions were identified using an automated anatomical labeling method with XJview 8.Results Naming famous faces caused more activation in the bilateral head of the hippocampus and amygdala with significant left dominance. Bilateral activation of pars triangularis and pars opercularis in the naming of famous faces was also revealed. Naming animals evoked greater responses in the left supplementary motor area, while naming man-made objects evoked more in the left premotor area,left pars orbitalis and right supplementary motor area. The extent of bilateral fusiform gyri activation by naming man-made objects was much larger than that by naming of famous faces or animals.Even in the overlapping sites of activation,some differences among the categories were found for activation in the fusiform gyri.Conclusion The cortices involved in the naming process vary with the naming of famous faces,animals and man-made objects.This finding suggests that different categories of pictures should be used during intra-operative language mapping to generate a broader map of language function, in order to minimize the incidence of false-negative stimulation and permanent post-operative deficits.

加拿大有个“莎士比亚小镇”

位于加拿大安大略省西南部的＂莎士比亚小镇＂其本名叫斯特拉特福（Stratford）,是多伦多人一日游的好去处。加拿大于18世纪中叶被英国占领后,许多地名都按英国地名命名,如伦敦、温莎等城市,斯特拉特福小镇也同样是按英国地名命名的。

A distal-lock electromagnetic targeting device for intramedullary nailing： Suggestions and clinical experience

Purpose： To describe our clinical experience with a system named SureShorTM Distal Targeting （Smith ＆ Nephew, Memphis, USA） based on magnetic field presence and discuss our suggestions on this technique. Methods： We analysed prospectively 47 patients affected by humeral, tibial or femoral fractures, treated in our institution during a 3-year period of time （August 2010 to September 2013）. We considered the following parameters： the time to set up, the time to position a single screw, the effectiveness of the system （drilling ad screwing）, the irradiation exposure time during distal locking procedure and surgical complications. Results： A total number of 96 screws were inserted. The mean preparation time of the device was 5.1 min _＋ 2 min （range 3 10 min）. The mean time for single screw targeting was 5.8 min ± 2.3 min （range 4-18 min）. No major complications occurred. Only a few locking procedures were needed to be practiced in order to obtain the required expertise with this targeting device. Conclusion： According to our results, this device is reliable and valid whenever the correct technique is followed. It is also user friendly, exposes to lower radiation and needs less surgical time compared to relative data from the literature. However, the surgeon should always be aware of how to use the free hand technique in case of malfunctioning of the system.

Disambiguating named entities with deep supervised learning via crowd labels

Named entity disambiguation （NED） is the task of linking mentions of ambiguous entities to their referenced entities in a knowledge base such as Wikipedia. We propose an approach to effectively disentangle the discriminative features in the manner of collaborative utilization of collective wisdom （via human-labeled crowd labels） and deep learning （via human-generated data） for the NED task. In particular, we devise a crowd model to elicit the underlying features （crowd features） from crowd labels that indicate a matching candidate for each mention, and then use the crowd features to fine-tune a dynamic convolutional neural network （DCNN）. The learned DCNN is employed to obtain deep crowd features to enhance traditional hand-crafted features for the NED task. The proposed method substantially benefits from the utilization of crowd knowledge （via crowd labels） into a generic deep learning for the NED task. Experimental analysis demonstrates that the proposed approach is superior to the traditional hand-crafted features when enough crowd labels are gathered.