山东省重视选征有专业特长的青年入伍

根据国务院、中央军委今冬征兵命令和要求,为充分利用地方人才优势为部队建设服务,山东省专门召开会议进行研究布置,决定在今冬征兵中选征部分有专业特长的青年入伍。其具体做法,一是搞好社会宣传,争取社会各部门的大力支持。结合开展“征兵宣传月”活动,充分利用电台、电视台、报刊等新闻媒体。

我国义务兵征召的“低容征率选征制”特征:困局与前景

在义务兵征召的实际操作层面,我国长期实行的其实是一种"容征率"很低的"选征制"——无论正式法律规则如何强调所有公民服兵役的平等义务,实际的现役兵役义务总是选择性地由少数人承担;在"低容征率选征制"背景下,现役兵役义务法定的"强制性"在现实运行中基本失效:或表现为供给过剩约束下的"无需强制",或者表现为供给不足约束下的"强制不能"。因此,高素质兵员有效征召的决定性因素不是外部强制,而是从军意愿。在诸多影响因子的合力推动下,我国已经很难逆转地进入高素质兵员供给不足常态化约束的时代,在从军意愿不足且容征率很低的情境下,强制性征召高素质兵员的经济和道德成本会不堪负担。从近、中期看,高素质兵员足额稳定的征召,可以通过现有制度与政策框架的局部调整,以较高的经济和道德成本为代价部分实现。但是,从长期趋势上看,全志愿兵役制是中国兵役制度改革的基本方向。

2018年北京学校体育科学大会中小学体育论文征选活动综述

本届大会中小学论文征选工作在前期论文征集、区级评审、市级评审、学术评审、学会复审的基础上,最终在个人申报1826篇论文中评选出861篇优秀获奖论文,总体上反映了近年来北京市基础教育学校体育研究进展、研究水平、研究成果,但也暴露出北京市中小学体育科研工作的一些不足,需进一步提高体育教师对科研工作的认识、加强科研诚信与师德师风的建设,创新出更多高质量、高品质、多元化的学校体育科研成果。

悠悠心会——读《远征新时期作品选集》

《远征新时期作品选集》就要出版了，为妻的我建议请一位名家为他写一篇荐介，可他执意要我来写，他说：“你是我的第一个读者，我是用心来写，你是用心来读。”当时，我好感动!

我们是怎样做好贫困山区高中生征集工作的

我们赣南地处贫困山区,经济和文化教育都还欠发达,在一年一度的征兵工作中,如何保证将尽量多的高中生送到部队也就成了我们的一块“心病”。近几年来,我们围绕这一问题进行了系统的研究,在拓宽工作思路的基础上,摸索出了一套可行的措施,实现了高中毕业生比例不长,但征集比例却得到逐年提高的目的,1997年达到了52.6％。

A Sparse Optimal Scoring Model with Adherent Penalty

We consider the task of binary classification in the high-dimensional setting where the number of features of the given data is larger than the number of observations.To accomplish this task,we propose an adherently penalized optimal scoring(APOS)model for simultaneously performing discriminant analysis and feature selection.In this paper,an efficient algorithm based on the block coordinate descent(BCD)method and the SSNAL algorithm is developed to solve the APOS approximately.The convergence results of our method are also established.Numerical experiments conducted on simulated and real datasets demonstrate that the proposed model is more efficient than several sparse discriminant analysis methods.

Censored Composite Conditional Quantile Screening for High-Dimensional Survival Data

In this paper,we introduce the censored composite conditional quantile coefficient(cC-CQC)to rank the relative importance of each predictor in high-dimensional censored regression.The cCCQC takes advantage of all useful information across quantiles and can detect nonlinear effects including interactions and heterogeneity,effectively.Furthermore,the proposed screening method based on cCCQC is robust to the existence of outliers and enjoys the sure screening property.Simulation results demonstrate that the proposed method performs competitively on survival datasets of high-dimensional predictors,particularly when the variables are highly correlated.

Semantic role labeling based on conditional random fields

Due to the fact that semantic role labeling （SRL） is very necessary for deep natural language processing, a method based on conditional random fields （CRFs） is proposed for the SRL task. This method takes shallow syntactic parsing as the foundation, phrases or named entities as the labeled units, and the CRFs model is trained to label the predicates＇ semantic roles in a sentence. The key of the method is parameter estimation and feature selection for the CRFs model. The L-BFGS algorithm was employed for parameter estimation, and three category features： features based on sentence constituents, features based on predicate, and predicate-constituent features as a set of features for the model were selected. Evaluation on the datasets of CoNLL-2005 SRL shared task shows that the method can obtain better performance than the maximum entropy model, and can achieve 80. 43 % precision and 63. 55 % recall for semantic role labeling.

Study on Screening of Fungi with High-resistance against Chromium and on Related Characteristics

[Objective] The aim was to separate chromium-resistant microorganism from soil contaminated by chromium.[Method] Separation and purification technique was used as follows：different concentrations of Cr^6＋ were added into medium,and chromium-resistant fungi were screened after separations and domestications.The selected fungi were under preliminary identification according to its morphological and colony characteristics.Then,related biological characteristics were studied,including measurement of growth curve,growing effects by temperature,pH value and osmotic pressure.[Result] The Cr（VI） with concentration of 1 000 mg/L was separated and selected from soils in ten different places contaminated seriously by heavy metal in adjacent region of Yulin City.Considering its morphological and colony characteristics,it was preliminarily identified as saccharomycetes,which can well grow within 15-37 ℃,and whose most suitable temperature was 28℃.Bacterial strain can grow well with pH of 4-10,and the optimum pH was 7.2;besides,it can grow well with NaCl concentration of 0.5%-5.0%.Through the experiment,the bacteria was found with resistance not only to chromium,but also to heavy metals such as Pb＋Cu,Cu＋Fe,Pb＋Fe,and Pb＋Cu＋Fe.[Conclusion] The fungi selected from the experiment were of good adaptability to natural environment,and it also had resistance to other heavy metals.

Application of Statistic Analysis on the Selection of Quantitative Characteristics Listed in the DUS Test Guideline of Tagetes L.

[Objective] This paper researched how to use specific approach to select quantitative characteristics which would be listed in the DUS Test Guideline of Tagetes L. [Method] With the aid of statistic analysis, the uniformity, stability and correlation of 14 pre-selected characteristics were analyzed. [Result] The expression of peduncle length of terminal flower had low uniformity within a variety; the expres- sion of main stem thickness was not stable in continuous growing cycles; there were four pairs of quantitative characteristics which are （very） significantly correlated, namely, leaf length and leaf width, diameter of flower head and length of outer ligu- late floret, number of ligulate floret whorls and number of ligulate floret, leaf width and width of terminal leaflet of pinnate leaves. Based on the requirements of char- acteristic selection and the results of statistic analysis, five characteristics including peduncle length of terminal flower, thickness of the main stem, leaf width, length of outer ligulate floret and number of ligulate floret were deleted. [Conclusion] For the first time, this paper introduced the application of statistic analysis on the selection of quantitative characteristics.

Heuristic feature selection method for clustering

In order to enable clustering to be done under a lower dimension, a new feature selection method for clustering is proposed. This method has three steps which are all carried out in a wrapper framework. First, all the original features are ranked according to their importance. An evaluation function E（f） used to evaluate the importance of a feature is introduced. Secondly, the set of important features is selected sequentially. Finally, the possible redundant features are removed from the important feature subset. Because the features are selected sequentially, it is not necessary to search through the large feature subset space, thus the efficiency can be improved. Experimental results show that the set of important features for clustering can be found and those unimportant features or features that may hinder the clustering task will be discarded by this method.

Breeding of New Winter Wheat Variety Nongda No.399

The winter wheat variety Nongda No. 399 was developed by Agriculture and Biotechnology College of China Agricultural University and Hebei Jincheng Seed Corporation Ltd. with the characteristics of high yield, high-resistance and wide adaptation. The variety is suitable for direct seeding in the winter wheat planting area of the central and southern Hebei Province.

Breeding of National Authorized Two-line Hybrid Rice Yanliangyou 2208

The breeding processes, characteristics and comprehensive characters of two-line hybrid rice Yanliangyou 2208 and its parents （Yan 220S and Yanhui 888） taking part in the national rice regional test of southern rice regions were introduced. Yanliangyou 2208 was approved by the National Crop Variety Appraisal Committee in 2013. The achievement has been transformed successfully and has been applied in production. It has good development and promotion prospects.

利用汇文期刊数据对现刊进行分类排架完善期刊的科学管理

利用汇文期刊数据实现期刊现代管理,以全体期刊人员参与为基础,通过运用现代管理技术,专业技术,现代化设备,使期刊编目、签收、排架、上架、下架、装订、检索形成管理链,应对期刊各种变化,不仅降低管理成本减少工作人员重复劳动,而且实现了期刊按学科大类排刊上架。制定期刊检索目录,实现期刊按学科大类排架体现学科体系,方便读者查阅及期刊上下架,简化工作环节。

提高新兵文化素质 适应部队建设需要

随着新的一场军事革命帷幕的拉开和军队改革与建设的不断深入,部队对新兵的质量要求越来越高,不仅需要具有健壮的体魄和良好的政治素质,而且要求具有较高的文化知识水平。

Effect of atomic structure on migration characteristic and solute segregation of ordered domain interfaces formed in Ni_(75)Al_xV_(25-x)

Based on the microscopic phase-field model, ordered domain interfaces formed between D022 （Ni3V） phases along [001] direction in Ni75AlxV25-x alloys were simulated, and the effects of atomic structure on the migration characteristic and solute segregation of interfaces were studied. It is found that the migration ability is related to the atomic structure of interfaces, and three kinds of interfaces can migrate except the interface （001）//（002） which has the characteristic of L12 （Ni3Al） structure. V atoms jump to the nearest neighbor site and substitute for Ni, and vice versa. Because of the site selectivity behaviors of jumping atoms, the number of jumping atoms during the migration is the least and the jumping distance of atoms is the shortest among all possible modes, and the atomic structures of interfaces are unchanged before and after the migration. The preferences and degree of segregation or depletion of alloy elements are also related to the atomic structure of interface.

Auditory attention model based on Chirplet for cross-corpus speech emotion recognition

To solve the problem of mismatching features in an experimental database, which is a key technique in the field of cross-corpus speech emotion recognition, an auditory attention model based on Chirplet is proposed for feature extraction.First, in order to extract the spectra features, the auditory attention model is employed for variational emotion features detection. Then, the selective attention mechanism model is proposed to extract the salient gist features which showtheir relation to the expected performance in cross-corpus testing.Furthermore, the Chirplet time-frequency atoms are introduced to the model. By forming a complete atom database, the Chirplet can improve the spectrum feature extraction including the amount of information. Samples from multiple databases have the characteristics of multiple components. Hereby, the Chirplet expands the scale of the feature vector in the timefrequency domain. Experimental results show that, compared to the traditional feature model, the proposed feature extraction approach with the prototypical classifier has significant improvement in cross-corpus speech recognition. In addition, the proposed method has better robustness to the inconsistent sources of the training set and the testing set.

Relationship between process mineralogical characterization and beneficiability of low-grade laterite nickel ore

Process mineralogy of low-grade laterite nickel ore in Indonesia was systematically characterized and the beneficiation process of mineral components such as limonite,serpentine and chromite was studied on the basis of process mineralogy.The results show that the low-grade laterite nickel ore is a typical weathering sedimentary metamorphic oxidized ore,with the main valuable elements of Ni,Co and Cr and the main mineral components of limonite,serpentine,chromite,etc.There is no independent carrier mineral of Ni and Co in the raw ore,and the occurrence states of Ni and Co are relatively dispersed.For the limonite in laterite nickel mine,the nickel bearing magnetite concentrate with nickel grade of 1.98%and recovery rate of 88.42%can be obtained by reduction roasting magnetic separation process.For the serpentine in laterite nickel mine,the cobalt bearing concentrate with Co grade of 0.17%and recovery rate of 23.17%can be obtained by positive and reverse flotation process.A chromium concentrate containing 35.17%Cr_(2)O_(3) and a recovery of 33.42%can be obtained by using the combined process of coarse and fine classification and gravity and magnetic.

Feature selection based on mutual information and redundancy-synergy coefficient

Mutual information is an important information measure for feature subset. In this paper, a hashing mechanism is proposed to calculate the mutual information on the feature subset. Redundancy-synergy coefficient, a novel redundancy and synergy measure of features to express the class feature, is defined by mutual information. The information maximization rule was applied to derive the heuristic feature subset selection method based on mutual information and redundancy-synergy coefficient. Our experiment results showed the good performance of the new feature selection method.