What Information Gap Activities can Teach Us in TESOL

Starting from presenting and analyzing some information gap activities during the previous teaching experience, this article has inferred the major roles of information gap activities. Some strategies to implement the information gap activities are also recommended together with the functions of the instructors via these activities. What information gap activities can teach us in TESOL （teaching English for speakers of other languages） is that information gap activities contribute to setting up a climate of a mutual autonomous learning style both for the learners and the instructors, and these activities activate a diversity in the learning atmosphere.

Research on the integration of Web_-CNC and EIS

During the time of building enterprise information System （EIS）, agility of enterprise can＇ t be improved entirely just through implementing the system such as： ERP, PDM, CAPP and so on. There is an information gap between bottom rnannfacturing equipment and the top EIS, that makes against elevating the agility of enterprise. Building Web- CNC and realizing its integration with EIS is an effect way to solve this problem. The architecture of Web- CNC, the integration of Web- CNC and EIS are detailed. Lastly, an instance is analyzed and discussed.

Implementation science for the adductor canal block:A new and adaptable methodology process

BACKGROUND Following the successful Perioperative Surgical Home(PSH)practice for total knee arthroplasty(TKA)at our institution,the need for continuous improvement was realized,including the deimplementation of antiquated PSH elements and introduction of new practices.AIM To investigate the transition from femoral nerve blocks(FNB)to adductor canal nerve blocks(ACB)during TKA.METHODS Our 13-month study from June 2016 to 2017 was divided into four periods:a three-month baseline(103 patients),a one-month pilot(47 patients),a three-month implementation and hardwiring period(100 patients),and a six-month evaluation period(185 patients).In total,435 subjects were reviewed.Data within 30 postoperative days were extracted from electronic medical records,such as physical therapy results and administration of oral morphine equivalents(OME).RESULTS Our institution reduced FNB application(64% to 3%)and increased ACB utilization(36% to 97%)at 10 mo.Patients in the ACB group were found to have increased ambulation on the day of surgery(4.1 vs 2.0 m)and lower incidence of falls(0 vs 1%)and buckling(5% vs 27%)compared with FNB patients(P<0.05).While ACB patients(13.9)reported lower OME than FNB patients(15.9),the difference(P=0.087)did not fall below our designated statistical threshold of P value<0.05.CONCLUSION By demonstrating closure of the“knowledge to action gap”within 6 mo,our institution’s findings demonstrate evidence in the value of implementation science.Physician education,technical support,and performance monitoring were deemed key facilitators of our program’s success.Expanded patient populations and additional orthopedic procedures are recommended for future study.

ON DESIGNING GROUP INFORMATION GAP TASKS IN COLLEGE ENGLISH CLASSROOMS—A COMPARATIVE STUDY OF STUDENTS’AND TEACHERS’PERCEPTIONS

为了有效促成外语学习,教师采用了各种各样的口语课堂活动。尤其是在近年来,有信息差的课堂活动得到了大力提倡。学生对这些活动的偏爱与老师喜欢采取的教学方法是否一致对英语教学起着至关重要的作用。本文试图基于教师和学生的问卷调查来探索他们对口语课堂活动中相关问题的各自理解,比如口语活动的有效性,学生对活动成员人数以及英语水平的偏爱性。问卷调查结果表明教师和学生对口语活动持有相同的看法,但也存在不同之处。通过分析比较结果,本文作者试图就如何在大学英语口语课堂活动中通过设计有信息差的小组活动来提高中国学生的英语口语水平给出了一些相应的教学启示。

A Multi-objective Chance-constrained Information-gap Decision Model for Active Management to Accommodate Multiple Uncertainties in Distribution Networks

The load demand and distributed generation(DG)integration capacity in distribution networks(DNs)increase constantly,and it means that the violation of security constraints may occur in the future.This can be further worsened by short-term power fluctuations.In this paper,a scheduling method based on a multi-objective chance-constrained information-gap decision(IGD)model is proposed to obtain the active management schemes for distribution system operators(DSOs)to address these problems.The maximum robust adaptability of multiple uncertainties,including the deviations of growth prediction and their relevant power fluctuations,can be obtained based on the limited budget of active management.The systematic solution of the proposed model is developed.The max term constraint in the IGD model is converted into a group of normal constraints corresponding to extreme points of the max term.Considering the stochastic characteristics and correlations of power fluctuations,the original model is equivalently reformulated by using the properties of multivariate Gaussian distribution.The effectiveness of the proposed model is verified by a modified IEEE 33-bus distribution network.The simulation result delineates a robust accommodation space to represent the adaptability of multiple uncertainties,which corresponds to an optional active management strategy set for future selection.

Robustness Assessment of Wind Power Generation Considering Rigorous Security Constraints for Power System: A Hybrid RLO-IGDT Approach

Fossil fuel depletion and environmental pollution problems promote development of renewable energy(RE)glob-ally.With increasing penetration of RE,operation security and economy of power systems(PS)are greatly impacted by fluctuation and intermittence of renewable power.In this paper,information gap decision theory(IGDT)is adapted to handle uncertainty of wind power generation.Based on conventional IGDT method,linear regulation strategy(LRS)and robust linear optimization(RLO)method are integrated to reformulate the model for rigorously considering security constraints.Then a robustness assessment method based on hybrid RLO-IGDT approach is proposed for analyzing robustness and economic performance of PS.Moreover,a risk-averse linearization method is adapted to convert the proposed assessment model into a mixed integer linear programming(MILP)problem for convenient optimization without robustness loss.Finally,results of case studies validate superiority of proposed method in guaranteeing operation security rigorously and effectiveness in assessment of RSR for PS without overestimation.Index Terms-Hybrid RLO-IGDT approach,information gap decision theory(IGDT),operation security,robustness assessment,robustness security region(RSR).

Low-Carbon Economic Operation Optimization of Mine Integrated Energy System Considering Energy Supply Uncertainty

Mine integrated energy system(MIES)can promote the uilliation of derived energy and achieve multi-energy complementation and ecological protection.Now it gradually becomes an important focus for scientific carbon reduction and carbon neutrality.To reduce the impact of uncertain prediction differences on the system during the process of using mine derived energy,a low-carbon economic operation strategy of MIES considering energy supply uncertainty is developed in this paper.Firstly,based on the basic structure of energy flow in MIES,the energy-carbon flow framework of MIES is established for the low-carbon operation requirements.Secondly,considering carbon emission constraints,the low-carbon economic operation optimization model(LEOOM)is bullt for MIES to minimize operation cost and carbon emission.Finally,multiple uncertainties of the system are modeled and analyzed by using the robust model under the risk aversion strategy of information gap decision theory(IGDT),and a model conversion method is designed to optimize the low-carbon economic operation model.The simulation results under three scenarios demonstrate that compared to the existed economic dispatching models,the proposed model achieves a 30%reduction in carbon emission while the operational cost of MIES only is increased by 2.1%.The model ffiently mitigates the carbon emission of the system,and the proposed uncertain treatment strategy can significantly improve the robustness of obtained operation plans.