我国现行实习制度判评

我国是高教大国和(学生)实习需求大国,但是至今还没有制订《实习法》,实习仍然没有纳入法律的轨道。我国现行实习制度规范主要依据的是《职业学校学生实习管理规定》。其积极方面主要是:界定了实习概念、界分了实习类型、明确了调整范围、提出了报酬基准、规定了实习保险。现行实习制度的主要缺陷是:适用范围的局限性、性质界定的狭义性、实习报酬的碎片化、实习协议的失范化、实习保险的空泛化,这些都需要法律加以完善。

The algorithm AE_(11) of learning from examples

We first put forward the idea of a positive extension matrix (PEM) on paper. Then, an algorithm, AE_ 11, was built with the aid of the PEM. Finally, we made the comparisons of our experimental results and the final result was fairly satisfying.

Study of the Influence of a Young Synthetic Leachate on the Hydromechanical Properties of a Swelling Clay

Despite the developments of sectors which aim at valorizing recyclable materials, landfills remain essential in integrated waste management. The construction of such infrastructures is an engineering challenge that must be proven over the long term. The purpose of this study is to understand the modification of the hydromechanical properties of bottom liners of landfills that may occur during their exploitation under leachate action. To do so, on the basis of its parameters of nature, a swelling clay from Burkina Faso is selected from soils of seven localities in Burkina Faso （West Africa）. Laboratory tests carried out with distilled water and then with a young synthetic leachate show a degradation of the permeability of this clay from 2.42 × 10^-10 m/s to 1.01 × 10^-9 m/s. In addition, leachate leads to an inhibition of the swelling and a remarkable increase of its compressibility, inducing significant settlement. With the increase in permeability, the primary consolidation settlement is increasing faster. Changes in the hydromechanical behavior can be attributed to the clays mineralogy, mainly cation exchange and the development of the diffuse double layer.

Configurable ontology mapping based on multi-feature

A configurable ontology mapping approach based on different kinds of concept feature information is introduced in this paper. In this approach, ontology concept feature information is classified as five kinds, which respectively corresponds to five kinds of concept similarity computation methods. Many existing ontology mapping approaches have adopted the multi-feature reasoning, whereas not all feature information can be com- puted in the real ontology mapping and only fractional feature information needs to be selected in the mapping computation. Consequently a eonfigurable ontology mapping model is introduced, which is composed of CMT model, SMT model and related transformation model. Through the configurable model, users can conveniently select the most suitable features and configure the suitable weights. Simultaneously, a related 3-step ontology mapping approach is also introduced. Associated with the traditional name and instance learner-based ontology mapping approach, this approach is evaluated by an ontology mapping application example.

Classification of hyperspectral remote sensing images based on simulated annealing genetic algorithm and multiple instance learning

A hybrid feature selection and classification strategy was proposed based on the simulated annealing genetic algonthrn and multiple instance learning （MIL）. The band selection method was proposed from subspace decomposition, which combines the simulated annealing algorithm with the genetic algorithm in choosing different cross-over and mutation probabilities, as well as mutation individuals. Then MIL was combined with image segmentation, clustering and support vector machine algorithms to classify hyperspectral image. The experimental results show that this proposed method can get high classification accuracy of 93.13% at small training samples and the weaknesses of the conventional methods are overcome.

（Re）Constructing Pedagogical Knowledge in English as a Foreign Language Teacher Education Courses

English language teaching in the post-method condition demands the preparation of critical professionals capable of developing their teaching practice to enhance their pupils＇ language learning process. These professionals should also be able to recognize their prior knowledge as a potential tool to teach and to act autonomously in different educational contexts. Therefore, pre-service teacher education courses need to provide favorable conditions for teacher candidates to engage in reflective practice in order to foster continuous professional development. The main goal of this paper is to discuss the complexity of the pedagogical knowledge （re）construction process in an English as a foreign language （EFL） teacher education course, attempting to understand prospective teachers＇ pedagogical actions and strategies used to cope with classroom problems in their teaching practice. For this reason, some examples of this dynamic process, obtained by class recordings and reflective sessions with future teachers were examined. Results indicated that through self-assessment and reflection, stimulated by these sessions, student-teachers were able to recognize problems in their teaching procedures, as well as analyze their teaching practice and （re）construct their pedagogical knowledge, favoring their students＇ language learning process and their own teaching approach.

Managing High Volume Data for Network Attack Detection Using Real-Time Flow Filtering

In this paper, we present Real-Time Flow Filter (RTFF) -a system that adopts a middle ground between coarse-grained volume anomaly detection and deep packet inspection. RTFF was designed with the goal of scaling to high volume data feeds that are common in large Tier-1 ISP networks and providing rich, timely information on observed attacks. It is a software solution that is designed to run on off-the-shelf hardware platforms and incorporates a scalable data processing architecture along with lightweight analysis algorithms that make it suitable for deployment in large networks. RTFF also makes use of state of the art machine learning algorithms to construct attack models that can be used to detect as well as predict attacks.

Experimental Study on Acupuncture Activating the Gonadotropin-releasing Hormone Neurons in Hypothalamus

Objective:To probe into the most effective site,extra-ordinary point,acupoint and channel for regulating reproductive endocrine function by means of the study on acupuncture activating the gonadotropin-releasing hormone neurons(GnRH) in hypothalamus.Methods:Female SD rats of reproductive age were used,and the in vivo study on GnRH neurons in hypothalamus was made with mimic sexual stimulation and feedback regulation.The neuron-activating effects of the acupoints on the channels pertaining to the zang-and fu-organs related with reproductive endocrine and the extra-ordinary points in different regions were studied using the discharge of the neuron as index,and then the neurons were labeled with horseradish peroxidase(HRP) .Results:Acupuncture was given at two acupoints each on the three yin channels of foot,the three yang channels of foot,the Conception Vessel and the Governor Vessel.The order of the mean increasing percentage in the hypothalamic GnRH neuron electric activity was:the Gallbladder Channel>the Spleen Channel>the Stomach Channel/the Bladder Channel/the Conception Vessel>the Liver Channel>the Kidney Channel>the Governor Vessel;for different acupoints,it was:Guanyuan(CV 4) >Sanyinjiao(SP 6) >Zusanli(ST 36) >Daimai(GB 26) /Yanglingquan(GB 34) >Shenshu(BL 23) >Weizhong(BL 40) >Yaoyangguan(GV 3) /Liangmen(ST 21) /Fujie(SP 14) >Qimen(LR 14) /Yingu(KI 10) >Tangzhong(CV 17) /Zhiyang(GV 9) ;for different positions,it was:the lower abdominal part/the lower limb part>the thoracodorsal part;for the extra-ordinary points,it was:Zigong(EX-CA1) >Dannang(EX-LE6) /Yaoyan(EX-B7) >Baichongwo(EX-LE3) /Qianzheng>Jingbi/Bizhong/Taiyang(EX-HN5) >Erbai(EX-UE2) /Dingchun;and for the distribution sites of the extra-ordinary points:lower abdominal region>the lower limb region>the craniofacial region>the upper limb region/the thoracodorsal region.Conclusion:For regulating the reproductive endocrine function,the acupoints located at the same neural segment with the reproductive organ should be selected as the main points,and it is necessary to combine with syndrome differentiation of the viscera and channels.

Global optimality condition and fixed point continuation algorithm for non-Lipschitz ?_p regularized matrix minimization

Regularized minimization problems with nonconvex, nonsmooth, even non-Lipschitz penalty functions have attracted much attention in recent years, owing to their wide applications in statistics, control,system identification and machine learning. In this paper, the non-Lipschitz ?_p(0 < p < 1) regularized matrix minimization problem is studied. A global necessary optimality condition for this non-Lipschitz optimization problem is firstly obtained, specifically, the global optimal solutions for the problem are fixed points of the so-called p-thresholding operator which is matrix-valued and set-valued. Then a fixed point iterative scheme for the non-Lipschitz model is proposed, and the convergence analysis is also addressed in detail. Moreover,some acceleration techniques are adopted to improve the performance of this algorithm. The effectiveness of the proposed p-thresholding fixed point continuation(p-FPC) algorithm is demonstrated by numerical experiments on randomly generated and real matrix completion problems.