THE IMPLEMENTATION OF SPEAKING PROGRAM AS EXTRA CURRICULAR AT MAN JOMBANG

MAN Jombang, on its attempt to improve the speaking ability of the students, has implemented a special English program, which aims at developing students’ proficiency, especially speaking, by creating English-speaking community at school. This speaking program is regarded as a sophistical way to reach excellence in English program, which, in the long run, will be an advantage for MAN Jombang as a private school in its attempt to attract Junior High School graduates to enter this institution. This study is purposed to describe the teacher’s techniques and methods in implementing the speaking program and in solving the problem in teaching learning speaking at MAN Jombang. In this study the writer use descriptive qualitative case study because most case studies arise endeavors to solve problem in teaching speaking at MAN Jombang. The teacher used students and teachers as the subject of this study. The writer decided to use stratified random sampling because there was no significant difference in students’ perception toward the speaking program among different class and took 20% all of population as a sample in this research, there are 32 students. The population was taken from the 160 students; 47 of whom are from class IID and IIE, while 66 of whom are from class III L1 that consists of 30 students and from class IPA 2 consists of 36 students. The writer analyzed the data by using interview, questionnaire, and observation as the instrument. To analyze the data she categorized the answer for the students, matched the answer on Part A with those on Part B, and made conclusion based on the students’ questions and interview for teachers. Based on the result, the writer found that the teachers used varieties techniques (discussion, games, dialogue) and the effective methods in teaching speaking is eclectic method which emphasizes on meaningful approach and its avoids boredom. Next, she found the teachers’ and students’ problem in implementing the speaking program. For example: lack of teaching media, students’ low level of capability on composing sentences. These problems can be solved creatively by conducting one day in English, recitation 5 to 10 words a day and 50% out of 33 students conducted in English zone

Simulation of hyperelastic materials in real-time using Deep Learning

The finite element method (FEM) is among the most commonly used numerical methods for solving engineering problems. Due to its computational cost, various ideas have been introduced to reduce computation times, such as domain decomposition, parallel computing, adaptive meshing, and model order reduction. In this paper we present U-Mesh: a data-driven method based on a U-Net architecture that approximates the non-linear relation between a contact force and the displacement field computed by a FEM algorithm. We show that deep learning, one of the latest machine learning methods based on artificial neural networks, can enhance computational mechanics through its ability to encode highly non-linear models in a compact form. Our method is applied to two benchmark examples: a cantilever beam and an L-shape subject to moving punctual loads. A comparison between our method and proper orthogonal decomposition (POD) is done through the paper. The results show that U-Mesh can perform very fast simulations on various geometries, mesh resolutions and number of input forces with very small errors

What determines IPO underpricing ? Evidence from a frontier market

This paper empirically analyzes the short run performance of Tunisian initial public offerings (IPO). It sheds light on the determinants of IPO’s in a context of a frontier market characterized by high information asymmetry, low information efficiency, thin trading and the presence of “noise” traders. Using a sample of 34 Tunisian IPO’s from the period 1992-2008, we find that the average market adjusted initial return for the first three trading days is about 17.8 percent. The level of underpricing is related to retained capital, underwriter’s price support, oversubscription, listing delay and the offer price. Age of the firm, its size and the size of the offer do not seem to reduce the amount of money left on the table by issuers. It appears also that underpricing is driven by irrational investors (ipoers) seeking for short-run capital gains. These results remain unchanged after controlling for the presence of institutional investors and the existence of liquidity contract.Initial public offerings; Short-run underpricing; Underwriter’s price support.

EVALUATION OF NON-STATIONARITY IN ANNUAL MAXIMUM FLOOD SERIES OF MODERATELY IMPAIRED WATERSHEDS IN THE UPPER MIDWEST AND NORTHEASTERN UNITED STATES

United States federal agencies assess flood risk using Bulletin 17B procedures which assume annual maximum flood series are stationary. This represents a significant limitation of current flood frequency models as the flood distribution is thereby assumed to be unaffected by trends or periodicity of atmospheric/climatic variables and/or anthropogenic activities. The validity of this assumption is at the core of this thesis, which aims to improve understanding of the forms and potential causes of non-stationarity in flood series for moderately impaired watersheds in the Upper Midwest and Northeastern US. Prior studies investigated non-stationarity in flood series for unimpaired watersheds; however, as the majority of streams are located in areas of increasing human activity, relative and coupled impacts of natural and anthropogenic factors need to be considered such that non-stationary flood frequency models can be developed for flood risk forecasting over relevant planning horizons for large scale water resources planning and management

Enhancing Bifacial PV Efficiency With the Addition of a Rear Side Reflector

Bifacial photovoltaics are an expanding sector of solar electricity production, collecting solar energy on the front, back, and sides of the module. This increases the efficiency by around 10% to 30% over a typical mono facial cell, which only collects sunlight on the front. However, the performance of bifacial PV arrays depends on a variety of factors, including temperature, shadows, solar insolation, and set-up geometry. The geometry is affected by the tilt angle, the azimuth angle, the height from the ground to the panel, and the reflectance from the ground surface. The addition of a reflector, usually white to reflect sunlight, further complicates a PV configuration. When a reflector is added to face the backside of a collector, the set-up can then be enhanced to increase the bifacial gain or the ratio of rear side energy to the front side. This paper will use a numerical model through the Python coding language to determine the incident energy on both sides of a bifacial collector. The computational model could then be verified through data gathered from an experimental setup using smaller PV cells to simulate the backside of a bifacial collector. Then by combining both the experimental and computational data, an indoor, sized-down model could be used during the winter months. The computational model helped verify trends found through experimental data. Nonuniformity between the rows was observed as the reflector was moved closer, due to a lower view factor. There is an optimal distance where BG peaks, then the BG plateaus when moved further. Because a large variety of factors contribute to the set-up of PV arrays, many tests need to be conducted, and the optimal arrangement is difficult to decipher

Kajian Psikologis Mengenai Komunikasi Berbasis Paperless Office

Paperless Office or PLO was created to facilitate work demands, which strongly requires speed, accuracy and also relates with issues concerning paper use reduction in several organizations in theworld. In the Faculty of Psychology UGM, PLO has already been used since 2009. Has this particular technology actually fulfilled the aforementioned expectations above? If it has, then whattypes of issues are well discussed through this system? Are there issues that are difficult to discuss using this system? Why is that so? This study aims to describe use of PLO systems among staffs inthe Faculty of Psychology UGM. Both quantitative and qualitative methods are applied in the study. Quantitative method was conducted using descriptive technique towards the PLO database followed by the categorization of the users, discussed topics that support daily office work, as well as the completeness and order of topics that are discussed. Following the categorization of users, datacollection was further carried out by interviewing faculty members to explore reasons for not using the system. Other issues that are to be studied include the fluent exchange of information for each ofthe discussed topics based from the categorization process. Content analysis is performed towards the data obtained from this interview. The results of the analysis demonstrate that PLO USAge reaches84%. Topics most interestingly discussed concern social topics, for example news of an ill member, birth of a baby, and promotion. The topic least responded to, related with academic careeropportunities. The percentage of PLO USAge provides a description related to the cultural issues that hold importance in innovation diffusion in office work