Miracle-dz/UniFAR-FTUs huggingface dataset:
COMP IN ( PARALLEL ) GRAMMAR WRITING

This paper is a grammar writer’s reaction to the ‘C OMP debate’, which has been going on in the LFG community for more than a decade now. Taking as a starting point the work by Dalrymple and Lødrup (2000), Alsina et al. (2005) and Berman (2006), I first consider the question with respect to a German large-coverage LFG. I show that, in addition to the re asons put forth by Alsina et al. (2005) and Berman (2006), there are further reasons to reinterpret as OBLθs (or OBJθs) the arguments that Dalrymple and Lødrup (2000) analyze as C OMPs in German, a language which they consider as ‘mixed’. These have to do with C OMPs subcategorized for by nouns and, to a lesser extent, with pa st participles of OBJ experiencer psych-verbs. I then present some data from Span ish, a ‘non-mixed’ language, and show that the distinction introduced in the re interpretation of COMPs of German nouns has a correlate in Spanish. Furthermore, I point out how the r einterpretation of COMP can increase parallelism between grammars, an argument that needs to be t aken with caution, of course, but in my opinion, does have its place in parallel grammar developm ent. The final section explains why the linguistically more adequate analysis without C OMP is also more attractive from the point of view of grammar engineering or, in other words, why the enhanced d escriptive elegance of a grammar leads to improved efficiency in its processing. I report an 11 % gain in processing time with a revised grammar compared to an equivalent grammar that makes use of C OMP.
Review and Prospect of Affective Commitment

As a core part of organizational commitment, affective commitment has drawn more and more attention from scholars and practitioners. Under the cultural background of “emphasis on affection” in China, it is more meaningful to explore the employees’ affective commitment. This paper introduces the concept of affective commitment, summarizes the antecedent variables that affect affective commitment, explains employees’ behavior and attitude that are affected by affective commitment, and finally makes a prospect of the study on affective commitment in the future.
10-708 Project Final : Semantically Disentangled Object Generation

Learning disentangled latent spaces while using deep generative models remains a largely open challenge for tasks such as image generation. One narrower subset of this objective is to consider the problem of semantic object disentanglement, where the goal is to allow for the hierarchical generation of complex images by being able to first generate individual objects and then being able to compose them together. In contrast to past approaches in this domain, we develop a novel and flexible method that directly enforces such disentanglement. In practice, we observe that our method achieves strong performance on three synthetic datasets, providing very good results on quality tests for disentanglement, reconstruction, and interpretable image generation through substitution. Our results, while on relatively simplified domains, provide a strong proof of concept for our general approach.
VacA Genotype in Helicobacter pylori

Helicobacter pylori infection has been recognized as a worldwide problem. H. pylori infection is the most prevalent cause of chronic gastritis and has been related to peptic ulcer disease and gastric cancer. It is considered that H. pylori infects half of the world’s population. Several virulence factors are produced by H. pylori in which each of them is related to an increase in the risk of disease development. The vacuolating cytotoxin (VacA) is one of these virulence factors. The first defined action of VacA was induction of intracellular vacuolation. VacA uses a variation in other effects on target cells, such as disruption of mitochondrial functions, stimulation of apoptosis, and blockade of T-cell proliferation, for the induction of vacuolation. In addition, VacA has an important role for colonization of H. pylori in vivo. had not been reported by this function. In the further studies, the identity of the vacuolating toxin was shown [ 7 , 8 ] and revealed that vacuolating cytotoxin (VacA) has different characteristics and activities compared to other bacterial toxins. Multiple virulence factors are produced by H. pylori in which each of them is related to an increase in the risk of disease extension. Cytotoxin-associated gene A (CagA) and the vacuolating cytotoxin (VacA) are the virulence factors [ 9 ].
Using Deep Learning and City Open Data

Trees Detection on Google Street View Images Using Deep Learning and City Open Data Lieu-Hen Chen*1 Hao-Ming Hung*1 Cheng-Yu Sun*1 Eric HsiaoKuang Wu *2 Toru Yamaguchi*3 Eri SatoShimokawara*3 Hao Chen*1 *1 National Chi Nan University, Taiwan *2 National Central University, Taiwan *3 Tokyo Metropolitan University, Japan For almost every cities and towns, street trees play an important role in representing seasonal change of the street view. Nowadays, lots of countries start promoting open data. Among these data, very useful information related to street trees are well documented with free access by many city governments. At the same time, Google Street View provides the view of a certain surrounding by composing stitched images which are shot by specialized vehicles moving along streets and alleys. However, few research reports have been published on utilizing city open data for trees detection on Google Street View. Therefore, in this study, we aim to perform trees detection on Google Street View Images by utilizing Deep Learning technologies and city open data.
O C ] 2 3 Se p 20 19 Asynchronous Decentralized Successive Convex Approximation

We study decentralized asynchronous multiagent optimization over networks, modeled as static (possibly directed) graphs. The optimization problem consists of minimizing a (possibly nonconvex) smooth function–the sum of the agents’ local costs–plus a convex (possibly nonsmooth) regularizer, subject to convex constraints. Agents can perform their local computations as well as communicate with their immediate neighbors at any time, without any form of coordination or centralized scheduling; furthermore, when solving their local subproblems, they can use outdated information from their neighbors. We propose the first distributed asynchronous algorithm, termed ASY-DSCA, that converges at an R-linear rate to the optimal solution of convex problems whose objective function satisfies a general error bound condition; this condition is weaker than the more frequently used strong convexity, and it is satisfied by several empirical risk functions that are not strongly convex; examples include LASSO and logistic regression problems. When the objective function is nonconvex, ASY-DSCA converges to a stationary solution of the problem at a sublinear rate.
HIV and Cellular Factors

Viruses are obligatory parasites of cells. Thus it is expected that host cell factors contribute importantly to the life-cycle of viruses. In this section, we survey four types of virus-cell interactions involving HIV-1. These four areas include: 1) DNA-binding proteins that recognize target motifs in proviral LTR; 2) RNA-binding proteins that bind HIV-1 RNAs; 3) cellular factors that form proteinprotein complexes with HIV-1 regulatory proteins; and 4) cellular genes which are modulated upon viral infection. With rapid increases in knowledge in the area of virus-cell interactions, we anticipate that this initial survey would be expanded extensively in future editions of the data base. Additional discussions on HIV-cell interactions are found elsewhere (Jones and Peterlin, 1994; Jeang and Gatignol, 1994; Garcia and Gaynor, 1994).
Impact of Extraneous Cognitive Load on Multimedia-Based Grammar Learning

Cognitive load is a theoretical notion having an increasingly influential role in the educational research areas that asserts that cognitive capacity in working memory is limited where too much load on the cognitive system may hamper the total learning process and learning outcome. Intrinsic cognitive load, extrinsic load and germane cognitive load are three types of cognitive load. There is a strong link between extraneous cognitive load and instruction design which recognizes that learning materials can overload a learner’s cognitive effort. It has a negative influence on learning performance which has not been focused yet for multimedia based grammar learning. The present work thus sets out to explore how much difference occurs on human cognition with two different types of multimedia based instructions. To conduct the research, a quantitative research method was adopted with the use of two instruments (online test and NASA- TLX) to measure the impact (performance outcome and extraneous cognitive load) of the two type instructions on learners. The instruments are used with a view to 1) identify performance variation of the students on different tasks through online test 2) measure mental workload with NASA task load index. The findings revealed that the instructions with proper maintain principles of cognitive theory of multimedia learning have better performance and low cognitive overload on students than that of the instructions with violating the cognitive principles of multimedia learning.
University of Southern Denmark The influence of F 0 contour continuity on prominence perception

The presented study concerns the influence of the syllabic structure on perceived prominence. We examined how gaps in the F0 contour due to unvoiced consonants affect prominence perception, given that such gaps can either be filled or blinded out by listeners. For this purpose we created a stimulus set of real disyllabic words which differed in the quantity of the vowel of the accented syllable nucleus and the types of subsequent intervocalic consonant(s). Results include, inter alia, that stimuli with unvoiced gaps in the F0 contour are indeed perceived as less prominent. The prominence reduction is smaller for monotonous stimuli than for stimuli with F0 excursions across the accented syllable. Moreover, in combination with F0 excursions, it also mattered whether F0 had to be interpolated or extrapolated, and whether or not the gap included a fricative sound. The results support both the filling-in and blinding-out of F0 gaps, which fits in well with earlier experiments on the production and perception of pitch.
A Novel User Behavior Prediction Algorithm in Mobile Social Environment

According to the group, interactive and real-time characteristics of mobile social environment, a novel user behavior prediction algorithm in mobile social environment is proposed in this paper. First, a coding based two-dimensional Apriori method is presented to improve the efficiency of user behavior analysis. Furthermore, in order to comprehensively analyze user behaviors, on one hand, the correlation analysis based on behavior history of a target user is performed; on the other hand, an effectiveness factor is formulated to obtain the optimal correlation set of target user from its friend circle, and then the correlation analysis between the target user and each correlated user from its optimal correlation set is performed. Finally, for integrating the above correlation analysis results, an improved optimal weighted fusion method based on effectiveness factors is presented, so as to achieve accurate prediction of user service behaviors. Extensive simulations results show that the proposed algorithm outperforms several related algorithms in terms of prediction efficiency and accuracy.
POLICY ITERATION METHODS FOR AMERICAN OPTION VALUATION 1

-We present at the conceptual level an alternative method for pricing American options. Most computational procedures in the literature rely on backward induction dynamic programming of the problem's discretization. We show how a policy iteration method can be directly applied to the continuous time version of the problem. The concept of improving the exercise boundary is presented, elementary analysis is given and a numerical example is presented.
Patterns for Things that Fail

ANTONIO RAMADAS, Faculty of Engineering, University of Porto, Portugal GIL DOMINGUES, Faculty of Engineering, University of Porto, Portugal JOAO PEDRO DIAS, INESC TEC, Porto, Portugal ADEMAR AGUIAR, Departament of Informatics Engineering, Faculty of Engineering, University of Porto, Portugal HUGO SERENO FERREIRA, INESC TEC, Porto, Portugal and Departament of Informatics Engineering, Faculty of Engineering, University of Porto, Portugal
The Role of Reproductive Biotechnologies in Addressing Food Sufficiency and Climate Change

Demographic and economic developments are the two major forces exerting tremendous pressures on earth’s natural resource base towards the end of the 20th and beginning of the 21st century. By 2050, human population is estimated to be 9.6 billion (UN, 2012), with more people drifting from rural areas to the urban areas. The global economy has also been growing dramatically, with a twenty-fold increase in global gross domestic products between 1970 to 2012 (World Bank, 2012) and is projected to quadruple by 2050, leading to significant increases in the demand for energy and natural resources (OECD,2012).
Mesh Defiltering via Cascaded Geometry Recovery

This paper addresses the nontraditional but practically meaningful reversibility problem of mesh filtering. This reverse‐filtering approach (termed a DeFilter) seeks to recover the geometry of a set of filtered meshes to their artifact‐free status. To solve this scenario, we adapt cascaded normal regression (CNR) to understand the commonly used mesh filters and recover automatically the mesh geometry that was lost through various geometric operations. We formulate mesh defiltering by an extreme learning machine (ELM) on the mesh normals at an offline training stage and perform it automatically at a runtime defiltering stage. Specifically, (1) to measure the local geometry of a filtered mesh, we develop a generalized reverse Filtered Facet Normal Descriptor (grFND) in the consistent neighbors; (2) to map the grFNDs to the normals of the ground‐truth meshes, we learn a regression function from a set of filtered meshes and their ground‐truth counterparts; and (3) at runtime, we reversely filter the normals of a filtered mesh, using the learned regression function for recovering the lost geometry. We evaluate multiple quantitative and qualitative results on synthetic and real data to verify our DeFilter's performance thoroughly. From a practical point of view, our method can recover the lost geometry of denoised meshes without needing to know the exact filter used previously, and can act as a geometry‐recovery plugin for most of the state‐of‐the‐art methods of mesh denoising.
Evaluation of a Display with Both Quickened and Status Information for Control of a Second Order System

Author: Matthew J. Neal Title: Evaluation of a Display with Both Quickened and Status For Control of a Second Order System Institution: Embry-Riddle Aeronautical University Degree: Master of Aeronautical Science Year: 1996 Quickened displays have a severe limitation in that they do not give any indication of status information, and therefore no indication of actual error. It was hypothesized in this study that a display with both quickened and status information would enable the operator to make more effective control responses than either a status alone display, or a quickened alone display. A horizontal axis pursuit tracking task was developed and controlled by eighteen participants with three display types: (1) a status alone display; (2) a quickened alone display; and (3) a status and quickened combined display. The primary hypothesis was only partly accepted. The results indicated that after two minutes tracking time the combined and quickened displays give the best performance, with worse performance from the status display. After ten minutes tracking time the combined display was the best, followed by the status display and the quickened display. The study concluded that the use of a combined display did yield superior performance for the tracking task devised. The effectiveness of the combined display relative to the quickened display or the status display was, however, a function of practice time. iv TABLE OF CONTENTS ACKNOWLEDGMENTS iii ABSTRACT iv LIST OF TABLES vii LIST OF FIGURES viii Chapter
Evaluation of Wheat Culture as a Model S of Stress Diagnosis

The research objective was the development of suspension culture cells of wheat and barley and assessing the possibility of its use as a model system for physiological studies of cereals stability to abiotic stresses. Experiments in suspension culture showed that stress-resistance of barley cells was greater than wheat cells. The common features of nonspecific action of salt stress on the development suspension cultures of cereals was identified. The results indicate the potential use of the suspension culture cells cereals as a model for physiological studies. Identified under salt stress the possibility of selection of resistant viable cell populations (units) for further regenera barley and wheat says about the prospect of work on the cell selection for drought and salt resistant crops.
1 Magnetism of nanostructures on metallic substrates

Various novel effects in nanostructures of magnetic atoms exchangecoupled to a metallic system of conduction electrons are reviewed. To this end we discuss analytical results and numerical data obtained by the density-matrix renormalization group and the real-space dynamical mean-field theory for the multi-impurity Kondo model. This model hosts complex physics resulting from the competition or cooperation of different mechanisms, such as the Kondo effect, the RKKY indirect magnetic exchange, finite-size gaps and symmetry-induced degeneracies in the electronic structure of finite metallic systems, quantum confinement in the strongcoupling limit, and geometrical frustration.
COMPARISON OF METHYLENE BLUE ADSORPTION FROM AQUEOUS SOLUTION USING SPENT TEA DUST AND RAW COIR PITH

The purpose of the present work is to test the possibility of using the spent tea dust and raw coir pith for the removal of methylene blue (MB) from aqueous solution. The effects of the contact time, adsorbent dosage and solution pH were studied in batch experiments at 27 °C. Results showed that a pH of 7 is favourable for the adsorption of dye. The isothermal data could be well described by the Langmuir equations. Kinetic parameters of adsorption such as the Langergen pseudo-first-order, pseudo-second-order rate constant and the intraparticle diffusion rate constant were determined. The adsorption capacities of Spent Tea Dust (STD) and Raw Coir Pith (RCP) were found to be 86.21 mg and 142.86 mg g -1 of the adsorbent respectively. The results indicate that STD and RCP could be employed as low-cost alternatives to commercial activated carbon for the removal of dyes from aqueous solution.
Hansson Enrich the Rich ! ( ? ) Income Tax , Income Inequalities and Economic Growth

This paper examines the effects of an income tax cut on economic growth. The way it is examined is twofold; in part through an increased savings rate and in part through increased inequalities. The former one is considered a more direct effect of the tax cut whereas the last one is considered a more indirect effect. The income tax cut is investigated under the assumptions of the Solow growth model. The Solow growth model helps limit the different possible causational factors of economic growth. The result of this paper is that the cut in income tax fuels economic growth rates until the new equilibrium has been reached. Thus, there are no long term effects on economic growth. There are, however, long term effects on the level of output.
ect of speed variation on di ff erent Tra ffi c Patterns in Mobile Ad Hoc Network

The constant bit rate (CBR) traffic which generates data packets at a constant rate is very well known traffic model for mobile ad-hoc network(MANET). This type of traffic is good enough for text data packets but not so for multimedia applications as they generate traffic in a burst followed by some idle periods. Increasing use of multimedia data prompts us to investigate some other traffic models which can accommodate the specific features of these data. In this articles, we consider two such traffic patterns (i) Exponential traffic model which is based on exponential distribution and (ii) Pareto traffic model based on Pareto distribution. We have tried to study the behavior of different mobile ad-hoc network routing protocols under all traffic sources for nodes moving with different mobility models with varying speed of the mobile nodes. We found that all the characteristics perform better for CBR traffic than Exponential and Pareto traffic for Normalized Routing Load (NRL), Packet Delivery Fraction (PDF) and Throughput as the existing routing protocols are designed for such traffic. c © 2011 Published by Elsevier Ltd.Selection and/or peer-review under responsibility of C3IT
Parameter Estimation for Persistent Communication Cascades 6 . 867 Final Project

A wide variety of processes in human social networks may be understood as spreading processes, in which resources, disease, or information proliferates through pairwise connections between individuals. Models of these processes have therefore received attention in fields ranging from sociology to marketing to statistical physics. A standard assumption of such models is that the rate and kind of pairwise interactions depend only on the current state, not the larger process history. This Markov-like assumption leads to substantial analytic simplification [14], and also acknowledges the difficulty of obtaining data at adequate granularity to model non-Markovian processes [11]. However, the growing availability of massive, passive data has allowed more fine-scaled research into spreading processes, and recent results have shown that many important processes are dramatically non-Markovian (see [1, 7, 12] among others). One promising route for modeling non-Markovian network spreading processes interprets edge activity as arrivals in a multi-dimensional, mutually exciting point process, the so-called Hawkes process [2]. This model has been found to be especially useful in the modeling of network communication processes, where the nonMarkovian structure has a natural interpretation: communication events cluster in conversations, rather than arriving at constant rate ([6], [16].) In previous work [8], S. Morse presented a method for extracting persistent group conversation structure from communication data when content is not known (specifically, cell phone record metadata). In this article, we develop and apply methods for fitting Hawkes process models to persistent communication cascades, thereby quantifying their non-Markovian, self-exciting structure. We demonstrate that a non-homogeneous point process better models the data than homogeneous ones, and present a method for parameter estimation of these non-homogeneous models using a regularized MAP EM scheme with validation. This regularization method is, to our knowledge, novel. Our results lay foundation for greater physical understanding of these processes, as well as future work estimating intra-cascade structure.