人教版、苏教版小学语文教材习作系统研究

现行的小学语文教材都是合编教材，习作课程教材附属其中。笔者从当下的习作教学现状出发，试图通过对人教版、苏教版小学语文教材习作系统的分析，找出习作教学少、慢、差、费的症结之所在。该课题的研究对习作教材的编写与习作教学实践有着一定的指导价值。

部编小学语文教科书习作系统的变革与运用

部编小学语文教材汲取了不同历史时期多套版本语文教科书习作编排的最新研究成果,力图突破选文为主,习作为辅的传统格局,在习作系统编排结构和体例大胆创新,三条线并进,纵横交织。一条为随文练笔,读写结合,化整为零;二条为单元习作,集中训练,巩固提升;三条为习作单元,聚焦表达,创新突破。纵向编排突出目标内容的连续性和发展性,横向编排突出能力培养的整体性和综合性。小学语文教师应该准确理解和把握编写者的设计意图,明了编排体系和特点,准确、灵活、有效使用教科书习作系统,更好地发挥教科书的教学价值。

建构小学习作教学系统的思考与实践

在目前的小学习作课程中，小学生学习写作难的现象有了些许改善，但其效果并没达到预期的目标，而且还出现了一些问题。本文主要阐述了小学在进行习作教学过程中出现的问题，提出了构建小学习作教学系统的措施，旨在提高小学的习作教学水平，提升小学生的习作能力。

学生习作“动力系统”构建初探

习作是大部分学生语文课业负担中难以承受的负担。教师要帮助学生构建习作的“动力系统”,为学生的习作开启强劲的发动机。该系统主要由三大块构成：帮你发表——办一份作文周报;引你考级——订一套考级制度;助你练兵——抓“三点”评改作文。

构建习作动力系统 实现写作能力提升

作文教学中最重要的是学生写作兴趣的培养,如果能充分激发孩子们的写作兴趣,构建起独特的习作动力系统,就一定会让学生爱上写作。在多年的作文教学中,通过构建动力写作体系,唤醒学生的发表意识、读者意识和精品意识,使学生明白写作是自我表达、与人对话,从而推动学生保持一个较为持久的写作亢奋期。本体系主要分为：习作激励系统、习作协力系统、习作助力系统、习作活力系统。

语文S版与统编本教材习作内容比对研究

习作在小学语文教学中的重要性显而易见。教师主要是以语文教材的习作系统为依托展开写作教学的。2019年秋季,统编本教材在全国范围内使用,与语文S版教材相比,统编本教材全面改版,习作系统发生了巨大的变化,教师在习作教学中也亟须作出相应的调整,以实现完美的教学过渡。因此在使用统编本教材的初期,作好两套教材的习作比对研究具有重要的教学指导意义。

小学语文习作的缺点及改进策略

人教版小学语文教材在内容编辑、呈现方式、教材设计、课文选编方面都有自己的特点。但就目前我国小学习作教学的现状来看,还是存在着不少弊端,本文就人教版小学语文教材习作系统提出了几点建议。

统编教材习作内容的编排特点与教学建议——以三年级上册为例

统编义务教育语文教科书(以下简称“统编教材”)三年级上册从人文主题和语文要素两个方面组织单元编排。在编写上存在以下特点:强调读写一体化、紧扣学生习作的关键能力、习作内容存在要求和能力的螺旋上升、文体全面且突出记叙类教学等。教师在使用教材时要有单元整体意识和全局意识,紧扣习作系统的编写特点进行教学。作前应当依据具体学情准确定位教学目标;作中针对学生习作过程中的难点搭建学习支架;作后评改注重实效,通过以评促改让学生知道不足之处的同时明确修改的方向。

Writing Haiku in a Second Language： Perceptions, Attitudes, and Emotions of Second Language Learners

The aim of the current study is to discuss the value of poetry writing in an L2 （second language） by investigating perceptions, attitudes, and emotions of 20 EFL （English as a Foreign Language） college freshmen regarding writing Japanese poetry, haiku in English. This paper first discussed issues and uses of literature in L2 contexts and addressed the current empirical inquiry into L2 haiku writing as a method for L2 learning. The study was designed as a qualitative research which investigated the participants＇ reflection on writing L2 haikus for six weeks in an EFL college writing course. The data obtained was analyzed by using the coding system and showed that writing haiku in the target language was a challenging but valuable task for L2 learning among the EFL students. Especially haiku composition allowed them to develop their L2 linguistic awareness

AGVs Dispatching Using Multiple Cooperative Learning Agents

AGVs dispatching, one of the hot problems in FMS, has attracted widespread interest in recent years. It is hard to dynamically schedule AGVs with pre designed rule because of the uncertainty and dynamic nature of AGVs dispatching progress, so the AGVs system in this paper is treated as a cooperative learning multiagent system, in which each agent adopts multilevel decision method, which includes two level decisions: the option level and the action level. On the option level, an agent learns a policy to execute a subtask with the best response to the other AGVs’ current options. On the action level, an agent learns an optimal policy of actions for achieving his planned option. The method is applied to a AGVs’ dispatching simulation, and the performance of the AGVs system based on this method is verified.

Linguo-Combinatorial Simulation of Complex Systems

Contemporary world is developing system and we must have the new models. Any complex system interacts with its changing environment and its viability depends on its adaptability. The number of arbitrary coefficients in the structure of equivalent equations of complex system changes in the process of learning. In systems with more than six variables, the number of arbitrary coefficients increases first, and then, passing through the maximum, begins to decrease. This phenomenon makes it possible to explain the processes of system growth, complication and death in biological, economical and physical-engineering systems. The author uses the Linguo-combinatorial method of investigation of complex systems, in taking key words for building equivalent equations. This phenomenon is able to increase the adaptability of different systems.

Promoting Collaborative Learning in Dynamics Remedial Course

The paper reports on collaborative learning approach to a remedial class in Dynamics. It uses the Kolb model and 4MAT learning system to introduce a learning cycle based on collaborative problem solving exercises. The teaching approach based on learning cycle is described giving examples of different teaching elements applied in particular quadrants of the learning cycle. The attitude of students and their different approaches to, learning are presented and discussed in detail. The results presented cover different aspects of the course delivery and students＇ perception. The results include students＇ statistics with respect to their registration and previous history related to the course, their motivatiion, assessment and satisfaction with the approach applied. This initial introduction of cooperative activities into the remedial Dynamics class can be assessed as a positive step in increasing student understanding and performance in the course. The students＇ positive reception of the non-traditional teaching method and their overall improved performance seem to confirm the advantages of collaborative leaming. In terms of the final grades, the results of the experiment were not as good as expected. However, the application of 4MAT learning system which exposed students to a variety of diverse learning styles improved the quality of education. The positive aspect of the experiment was the attitude of students and their acceptance of the new mode of course delivery. In conclusion collaborative learning could be extended beyond remedial groups to normal student classes.

Study on the Hardware Initialization of Embedded System

An embedded system generally comprises gffour parts （embedded microprocessor unit, peripheral hardware equipment, embedded operating system, and user application）, and its core function is to complete the control of different equipments as well as necessary monitoring and management measures. Initialization is to set a variable as ＂default value＂, including system initialization, software initialization and hardware initialization. However, these three types of initialization are classified in accordance with different layers. This is studied in this paper.

Interlanguage Fossilization in Chinese EFL Writing --An Empirical Research of 20 English Major Students

This research is designed to investigate interlanguage fossilization in Chinese college students＇ written output. Twelve common linguistic errors from 20 Chinese EFL （English as a foreign language） learners＇ writing assignments are observed. Results show that among 12 typical errors, five types of errors are declining while the rest are increasing, indicating a tendency towards fossilization. Analysis shows that negative/corrective feedback has played a key role in reducing fossilization of some errors, but it does not work in every case. Some errors tend to be fossilized for several reasons. First, language items that do not have a direct form-function relationship are likely to be fossilized. Second, advanced learners create their own language system and neglect the basic rules of grammar. Third, task difficulty takes learners＇ attention away from form to meaning. Fourth, ingrained thinking patterns have a great impact on how learners organize their thoughts in writing. It is true that many Chinese EFL advanced learners reach a plateau in the process of acquiring English. However, attention, consciousness, and training of self-monitoring ability will help destabilize their interlanguage system.

Interaction of antipsychotic drug with novel surfactants: Micellization and binding studies

The interaction of cationic gemini surfactants(alkanediyl-α,ω-bis(alkyl dimethylammonium bromide)) with an antipsychotic drug(chlorpromazine hydrochloride(CPZ)) has been investigated. Various micellar and interfacial parameters have been deliberated by surface tension measurement to report the nature of interactions between drug and novel surfactant mixtures. The behavior of mixed systems, their compositions and activities of components have been analyzed in the light of Rubingh's theory. The results indicate synergism in the binary mixtures.The binding study between CPZ and surfactants has been done by spectroscopic techniques such as UV–visible and fluorescence. The results are discussed in the light of the use of gemini surfactants as promising drug delivery agents for phenothiazine drugs, and hence, improve their bioavailability.

A plant-pollinator system： How learning versus cost-benefit can induce periodic oscillations

In this paper, we propose a model describing the interaction between two species： a plant population that gets pollinated by an insect population. We assume the plant population is divided into two groups： the first group in mutualistic relationship with the insect and the second group attracting the insects while deceiving them and not delivering any reward. In addition, we assume that the insect population reduces the number of visits to the plants after several unsuccessful visits. We are interested in the conditions for the coexistence of both species, especially in the appearance of damped or sustained oscillations. We focus the analysis on the parameters that measure the balance among deceit, the benefit that the insect gets from the plant, and the learning by the pollinators. We are especially interested in analyzing the effect of learning by the insect population due to unsuccessfully visiting the deceiving plants.

ANALYSIS OF BREAST CANCER PROFILES USING BAYESIAN NETWORK MODELING

Breast cancer is the leading cause of cancer-related death for women in Tunisia and the prognosis of its metastasis remains a major problem for oncologists despite advances in treatment. In this work we use Bayesian networks to develop a decision support system that is based on the modeling of relationships between key signaling proteins and clinical and pathological characteristics of breast tumors and patients. Motivated by the lack of prior information on the parameters of the problem, we use the Implicit inference for the structure and parameter learning. A dataset of 84 Tunisian breast cancer patients was used and new prognosis factors were identified. The system predicts a metastasis risk for different patients by computing a score that is the joint probability of the Bayesian network using parameters estimated on the learning database. Based on the results of the developed system we identified that overexpression of ErbB2, ErbB3, bcl2 as well as of oestrogen and progesterone receptors associated with a low level of ErbB4 was the predominant profile associated with high risk of metastasis.