LTAG semantics for questions

This papers presents a compositional semantic analysis of interrogatives clauses in LTAG (Lexicalized Tree Adjoining Grammar) that captures the scopal properties of wh- and nonwh-quantificational elements. It is shown that the present approach derives the correct semantics for examples claimed to be problematic for LTAG semantic approaches based on the derivation tree. The paper further provides an LTAG semantics for embedded interrogatives

Splitting of the Speaker during the “Face-Work” of the Hearer

In the paper we present a method of speech situations’ analysis, in which the communicants work up their own “face” and the interlocutor’s “face”. The method is seeking to consider the perlocutionary intention of the speaker for himself, the perlocutionary intention of the speaker for the hearer, the evaluation by the speaker of the felicity of his perlocutionary intention for himself, the evaluation by the speaker of the felicity of his impact on the hearer

HUBUNGAN PERSEPSI SISWA TENTANG PENGELOLAAN KELAS DENGAN MOTIVASI BELAJAR SISWA KELAS X JURUSAN AKUNTANSI DI SMK PGRI 1 JAKARTA

ABSTRACT Annisa Malaya. Relations Student Perceptions About Classroom Management With Student Motivation SMK PGRI 1 Jakarta. Thesis. Jakarta. Educational Studies Program Economics, Concentration in Accounting Education, Department of Economics and Administration, School of Economics, State University of Jakarta, January 2013. The method in this study is a survey method with the correlation approach. Use of the method is intended to measure the degree of closeness between students' perceptions about the management of students with student motivation. With correlational approach can be seen the relationship between the two variables independent variables (students' perceptions about classroom management) that influence and given the symbol X, the dependent variable (student motivation) as affected and given the symbol Y. The attainable populations are the students of SMK PGRI 1 Jakarta, class X Department of Accounting, school year of 2012-2013, consist of three classes with 120 ctudents in total. Based on Isaac and Michael table, sample used in this research are 89 students, with 29 and 30 students of each class. Regression equations result is Y = 98,47 + 0,30X. By virtue of that equation, normality test by using liliefors test results, L o Ft (4,55 > 3,95). It indicated that the data had been significant. The result of correlation coefficient test of product moment by Pearson is r xy = 0,22, which it means there is a positive correlation between self-concept with learning achievement. The calculation of ttest showed that taccount > ttable , 2,16 > 1,67. It shows there is a significance correlation between students' perceptions about classroom management and motivation to learn at SMK PGRI 1 Jakarta. The calculation of determination coefficient test results 5%, so that between students' perceptions about classroom management and motivation to learn at the rate of 5%. Upon the acceptance of the hypothesis of this study, according to the theory advanced by John W. Santrock (2008:559) suggests "well-managed classroom will provide activities in which pupils become absorbed into it and be motivated to learn and understand the rules and regulations that must be obeyed". This study shows that there is a positive and significant relationship between students 'perceptions about the management class with students' motivation in SMK PGRI 1 Jakarta. Keywords: Students Perceptions of Classroom Management, Student Motivatio

CFDNet: a deep learning-based accelerator for fluid simulations

CFD is widely used in physical system design and optimization, where it is used to predict engineering quantities of interest, such as the lift on a plane wing or the drag on a motor vehicle. However, many systems of interest are prohibitively expensive for design optimization, due to the expense of evaluating CFD simulations. To render the computation tractable, reduced-order or surrogate models are used to accelerate simulations while respecting the convergence constraints provided by the higher-fidelity solution. This paper introduces CFDNet -- a physical simulation and deep learning coupled framework, for accelerating the convergence of Reynolds Averaged Navier-Stokes simulations. CFDNet is designed to predict the primary physical properties of the fluid including velocity, pressure, and eddy viscosity using a single convolutional neural network at its core. We evaluate CFDNet on a variety of use-cases, both extrapolative and interpolative, where test geometries are observed/not-observed during training. Our results show that CFDNet meets the convergence constraints of the domain-specific physics solver while outperforming it by 1.9 - 7.4x on both steady laminar and turbulent flows. Moreover, we demonstrate the generalization capacity of CFDNet by testing its prediction on new geometries unseen during training. In this case, the approach meets the CFD convergence criterion while still providing significant speedups over traditional domain-only models.Comment: It has been accepted and almost published in the International Conference in Supercomputing (ICS) 202

Catalytic Conversion of Glycerol to Value-Added Chemical Products

Rapid expansion of biodiesel industry has generated a huge amount of crude glycerol. This thesis aimed to explore utilization of glycerol for the production of solketal as an oxygenated fuel additive and 1, 2-propanediol as a pre-polymer via catalytic conversion. The thesis work may be divided into two major parts. In the first part, the thermodynamics and kinetics of the glycerol ketalization for the synthesis of solketal were investigated in a batch reactor. From this information, a continuous-flow process was designed, developed and optimized using pure glycerol. Crude glycerol (13 wt% purity) was successfully upgraded into a purified crude glycerol product (\u3e 96 wt% purity) and was used as feedstock in a modified reactor for the synthesis of solketal whose economical feasibility was demonstrated. In the second part, B2O3 promoted Cu/Al2O3 catalysts were used for selective hydrogenolysis of glycerol to 1, 2-propanediol in a flow reactor. Surface properties, acidity, crystallinity, and reducibility of the catalysts were measured using N2 adsorption, NH3-temperature programmed desorption (TPD), X-ray diffraction (XRD), and H2-temperature programmed reduction (TPR), respectively. The fuels/chemicals products obtained were analyzed by GC-MS/FID and Fourier-transformation infrared spectroscopy (FTIR). The ketalization reaction equilibrium constants were determined experimentally in the temperature range of 293-323 K. The activation energy of the overall reaction was determined to be 55.6 ± 3.1 kJ mol-1. Langmuir-Hinshelwood equation was used to model the rate law. The activity of all catalysts tested in the flow reactor follows the order: Amberlyst wet » Zeolite » Amberlyst dry \u3e Zirconium Sulfate \u3e Montmorillonite \u3e Polymax. At optimum conditions (25 ˚C, 500 psi, acetone-to-glycerol molar ratio of 4 and 2 h-1 WHSV), the maximum solketal yield from pure glycerol was 94±2% over Amberlyst wet. Ketalization of purified crude glycerol over Amberlyst wet, led to 93± 3% glycerol conversion with 92 ±2% solketal yield at the optimum conditions. In the glycerol hydrogenolysis process with 10 wt% aqueous solution of glycerol as the feed, 5Cu-B/Al2O3 catalyst demonstrated a very high activity, yielding 98 ±1% glycerol conversion and 98±1% 1,2-propanediol selectivity at the optimum conditions (250 ˚C, 6 MPa H2, and 0.1h-1 WHSV)