Miracle-dz/UniFAR-FTUs huggingface dataset:
Lecturer's e-Table (Server Terminal) Which Allows Monitoring the Location at Where Each Student is Looking During Lessons with e-Learning Contents Through Client Terminals

Lecturer’s e-Table (Server Terminal) which allows monitoring the location at where each student is looking during lessons with e-learning contents through Client Terminals is proposed. Through the lessons with e-learning contents through client terminal, it is obvious that student can take the lessons much efficiently when the student are looking at the appropriate location at where the lecturers would like the students look at. It, however, is not always that the student is looking at the appropriate location even if the system indicates the appropriate location. The proposed system of lecturer’s e-table of server terminal allows monitoring the location at where each student is looking. Therefore, lecturer can make a caution to the student for the appropriate location at where the student has to be looking at. Through experiments with students, it is found that the achievement test score with the indication of appropriate location is much better than that without the indication. Also, learning efficiency with the caution is much greater than that without the caution.
Telephone Speech Recognition via the Combination of Knowledge Sources in a Segmental Speech Model

The currently dominant speech recognition methodology, Hidden Markov Modeling, treats speech as a stochastic random process with very simple mathematical properties. The simplistic assumptions of the model, and especially that of the independence of the observation vectors have been criticized by many in the literature, and alternative solutions have been proposed. One such alternative is segmental modeling, and the OASIS recognizer we have been working on in the recent years belongs to this category. In this paper we go one step further and suggest that we should consider speech recognition as a knowledge source combination problem. We offer a generalized algorithmic framework for this approach and show that both hidden Markov and segmental modeling are a special case of this decoding scheme. In the second part of the paper we describe the current components of the OASIS system and evaluate its performance on a very difficult recognition task, the phonetically balanced sentences of the MTBA Hungarian Telephone Speech Database. Our results show that OASIS outperforms a traditional HMM system in phoneme classification and achieves practically the same recognition scores at the sentence level.
Evidence That Helix-Loop-Helix Proteins Collaborate with Retinoblastoma Tumor Suppressor Protein to Regulate Cortical Neurogenesis

The retinoblastoma tumor suppressor protein (pRb) family is essential for cortical progenitors to exit the cell cycle and survive. In this report, we test the hypothesis that pRb collaborates with basic helix-loop-helix (bHLH) transcription factors to regulate cortical neurogenesis, taking advantage of the naturally occurring dominant-inhibitory HLH protein Id2. Overexpression of Id2 in cortical progenitors completely inhibited the induction of neuron-specific genes and led to apoptosis, presumably as a consequence of conflicting differentiation signals. Both of these phenotypes were rescued by coexpression of a constitutively activated pRb mutant. In contrast, Id2 overexpression in postmitotic cortical neurons affected neither neuronal gene expression nor survival. Thus, pRb collaborates with HLHs to ensure the coordinate induction of terminal mitosis and neuronal gene expression as cortical progenitors become neurons.
A Multiobjective Interval Programming Model for Wind-Hydrothermal Power System Dispatching Using 2-Step Optimization Algorithm

Wind-hydrothermal power system dispatching has received intensive attention in recent years because it can help develop various reasonable plans to schedule the power generation efficiency. But future data such as wind power output and power load would not be accurately predicted and the nonlinear nature involved in the complex multiobjective scheduling model; therefore, to achieve accurate solution to such complex problem is a very difficult task. This paper presents an interval programming model with 2-step optimization algorithm to solve multiobjective dispatching. Initially, we represented the future data into interval numbers and simplified the object function to a linear programming problem to search the feasible and preliminary solutions to construct the Pareto set. Then the simulated annealing method was used to search the optimal solution of initial model. Thorough experimental results suggest that the proposed method performed reasonably well in terms of both operating efficiency and precision.
Inference of activities with unexpected actions using pattern mining

Recognition of activities in an unobtrusive manner has attracted the attention of context aware systems, which provide end users with services based on everyday activities that are recognised without infringing the privacy of the end user. Current work has generally focused on applying a range of traditional classification and semantic reasoning based techniques in order to recognise these activities. However, the ability to recognise unexpected actions while the activity is being conducted remains a challenge. In this paper, we present an approach that is able to recognise activities regardless of the order of tasks/actions used to perform the activity. The proposed recognition framework extends an existing activity recognition approach by deploying a frequent pattern mining technique to find patterns among different streams of captured sensor events in order to increase the adaptive learning of the proposed recognition approach.
Two-dimensional Topology of Large-Scale Structure in the Las Campanas Redshift Survey

We have measured the topology (genus) of the density distribution of large-scale structure observed in the Las Campanas Redshift Survey (LCRS). The LCRS is complete to magnitude 17.5 and contains nearly 24,000 galaxies with median redshift of 30,000 km s-1. The large volume and large number of galaxies permit sampling of nearly 100 independent structures with which to compute the genus topology, a vast improvement over previous studies. We find that the genus is consistent with a random-phase Gaussian distribution of initial density fluctuations, as would be produced naturally in inflationary models. When we combine these results with the genus measurements of the COBE microwave background fluctuations, we find that two orthogonal projections of the three-dimensional distribution of initial density fluctuations are consistent with Gaussian random-phase behavior, in agreement with standard inflationary models. Particular attention is given to statistical significance of the genus test.
Genetic Analysis of Two Mediterranean Fisheries of Coryphaena hippurus from Malta and Tunis

Few genetic studies have been carried out in dolphinfish. Oxendorf & Hunte (1986a,b) compared samples obtained in the Caribbean Sea (Central-West Atlantic) using several physiological characters such as fecundity, growth or sexual maturity. The results obtained lead to the definition of two dolphinfish stocks in the Caribbean Sea. Later, the same samples were examined using allozymes. 16 out of 55 loci were polymorphic, although only 4 loci presented a frequency of the most common allele < 0.95. Comparison of allele frequencies suggested the existence of two groups of individuals coinciding with the groups previously reported with morphological characters. Nevertheless, genetic analysis was carried out using a single polymorphic locus (IDHP-2*) and the statistical analysis did not seem adequate since allele frequencies were not different enough to explain the differentiation found.
Low Loss, Wideband, and Compact CPW-Based Phase Shifter for Millimeter-Wave Applications

This paper proposes a compact, low-loss, and low cost phase shifter for millimeter-wave phased array systems. The basic idea is to modify the propagation mode of a coplanar waveguide (CPW) by placing a high dielectric constant (40 <; εr <; 170) slab on top of it. The phase shift is varied by changing the air gap between the CPW line and the dielectric slab. A piezoelectric transducer has been used to control this air gap precisely. For fast but accurate modeling of the proposed phase shifter, two methods one based on spectral domain analysis and the other based on the conformal mapping have been developed and verified with full wave simulations and measurements. A prototype structure with the operational frequency range from 20 to 40 GHz is presented. The maximum phase shift obtained for the electrically controlled version at 40 GHz is 103 ° with loss variation of 0.2 dB. The total length is 2 mm.
Relations among parental causal attributions and children’s math performance and task persistence

Abstract The present longitudinal study examined the cross-lagged relations between parental causal attributions of children’s math success to children’s ability, parental help, children’s math performance and task persistence. A total of 735 children, their mothers, fathers and teachers were assessed twice – at the end of the second and the third grades. Children were tested in math and parents filled out questionnaires measuring causal attributions. Children’s task persistence was reported both by parents and by class teachers. The results of path analyses indicated mutual negative effects between mothers’ and fathers’ help attributions and children’s math performance, and a positive effect of mothers’ ability attributions on children’s math performance. Cross-lagged relations were also found for children’s math performance and task persistence. However, relations between parental attributions and children’s task persistence were evident only for fathers’ ability attributions. The findings emphasise the importance of examining both mothers and fathers, home and school context.
Detecting influential users using spread of communications

This article discusses about detecting the most influential users in an online social network. We observe that a communication of an influential user is likely to reach many more users than the same made by a user having lesser influence in the network. Based on this observation, We have formulated a method using the spread of communications (i.e., the number of users the communication reaches). We have verified the method on three datasets downloaded from `Twitter' and results are found to be the best among existing methods on the said datasets.
Characterization of the Human PPAR Promoter : Identification of a Functional Nuclear Receptor Response Element

U.545 Institut National de la Santé et de la Recherche Médicale (I.P.T., J.-C.F., B.S.), Département d’Athérosclérose, Institut Pasteur de Lille, 59019 Lille, and the Faculté de Pharmacie, Université de Lille II, 59006 Lille, France; and Centre for Cardiovascular Genetics (Y.J., D.M.F.), Department of Medicine, Royal Free and University College London Medical School, The Rayne Institute, London WC1E 6JJ, United Kingdom
COMPUTATIONAL AND EXPERIMENTAL APPROACHES TO REGULATORY GENETIC VARIATION

Genetic variation is a strong risk factor for many human diseases, including diabetes, cancer, cardiovascular disease, depression, autoimmunity and asthma. Most of the disease genes identified so far alter the amino acid sequences of encoded proteins. However, a significant number of genetic variants affecting complex diseases may alter the regulation of gene transcription. The map of the regulatory elements in the human genome is still to a large extent unknown, and it remains a challenge to separate the functional regulatory genetic variations from linked neutral variations. The objective of this thesis was to develop methods for the identification of genetic variation with a potential to affect the transcriptional regulation of human genes, and to analyze potential regulatory polymorphisms in the CD36 glycoprotein, a candidate gene for cardiovascular disease. An in silico tool for the prediction of regulatory polymorphisms in human genes was implemented and is available at www.cisreg. ca/RAVEN. The tool was evaluated using experimentally verified regulatory single nucleotide polymorphisms (SNPs) collected from the scientific literature, and tested in combination with experimental detection of allele specific expression of target genes (allelic imbalance). Regulatory SNPs were shown to be located in evolutionary conserved regions more often than background SNPs, but predicted transcription factor binding sites were unable to enrich for regulatory SNPs unless additional information linking transcription factors with the target genes were available. The in silico tool was applied to the CD36 glycoprotein, a candidate gene for cardiovascular disease. Potential regulatory SNPs in the alternative promoters of this gene were identified and evaluated in vitro and in vivo using a clinical study for coronary artery disease. We observed association to the plasma concentrations of inflammation markers (serum amyloid A protein and C-reactive protein) in myocardial infarction patients, which highlights the need for further analyses of potential regulatory polymorphisms in this gene. Taken together, this thesis describes an in silico approach to identify putative regulatory polymorphisms which can be useful for directing limited laboratory resources to the polymorphisms most likely to have a phenotypic effect.
A controlled evaluation of comprehensive geriatric assessment in the emergency department: the ‘Emergency Frailty Unit’

Background: the ageing demographic means that increasing numbers of older people will be attending emergency departments (EDs). Little previous research has focused on the needs of older people in ED and there have been no evaluations of comprehensive geriatric assessment (CGA) embedded within the ED setting. Methods: a pre-post cohort study of the impact of embedding CGA within a large ED in the East Midlands, UK. The primary outcome was admission avoidance from the ED, with readmissions, length of stay and bed-day use as secondary outcomes. Results: attendances to ED increased in older people over the study period, whereas the ED conversion rate fell from 69.6 to 61.2% in people aged 85+, and readmission rates in this group fell from 26.0% at 90 days to 19.9%. In-patient bed-day use increased slightly, as did the mean length of stay. Discussion: it is possible to embed CGA within EDs, which is associated with improvements in operational outcomes.
Memory management of density-based spam detector

The volume of mass unsolicited electronic mail, often known as spam, has recently increased enormously and has become a serious threat to not only the Internet but also to society. A new spam detection method which uses document space density information has been proposed. Although the proposed method requires extensive e-mail traffic to acquire the necessary information, it can achieve perfect detection (i.e., both recall and precision is 100%) under practical conditions. This paper describes the memory management mechanism of this new spam detection method. Although the "least recently used" strategy is the standard memory management strategy, we show that 1) the use of the direct-mapped cache can be used as a substitute for the LRU cache, and 2) "retaining multiply accessed entries" strategy can further improve the memory management performance and improve the theoretical recall rate for spam detection.
Metastasis-Suppressing Potential of Ribonucleotide Reductase Small Subunit p53R2 in Human Cancer Cells

Purpose: Previous gene transfection studies have shown that the accumulation of human ribonucleotide reductase small subunit M2 (hRRM2) enhances cellular transformation, tumorigenesis, and malignancy potential. The latest identified small subunit p53R2 has 80% homology to hRRM2. Here, we investigate the role of p53R2 in cancer invasion and metastasis. Experimental Design: The immunohistochemistry was conducted on a tissue array including 49 primary and 59 metastatic colon adenocarcinoma samples to determine the relationship between p53R2 expression and metastasis. A Matrigel invasive chamber was used to sort the highly invasive cells and to evaluate the invasion potential of p53R2. Results: Univariate and multivariate analyses revealed that p53R2 is negatively related to the metastasis of colon adenocarcinoma samples (odds ratio, 0.23; P < 0.05). The decrease of p53R2 is associated with cell invasion potential, which was observed in both p53 wild-type (KB) and mutant (PC-3 and Mia PaCa-2) cell lines. An increase in p53R2 expression by gene transfection significantly reduced the cellular invasion potential to 54% and 30% in KB and PC-3 cells, respectively, whereas inhibition of p53R2 by short interfering RNA resulted in a 3-fold increase in cell migration. Conclusions: Opposite regulation of hRRM2 and p53R2 in invasion potential might play a critical role in determining the invasion and metastasis phenotype in cancer cells. The expression level of ribonucleotide reductase small subunits may serve as a biomarker to predict the malignancy potential of human cancers in the future.
Robust constraint-based control of robot manipulators: An application to a visual aided grasping task

Despite the availability in the literature of several constraint-based motion generation algorithms, modest attention has been paid to their robustness with respect to noise, and more in general, to unstructured uncertainties. Especially in the case of sensor-related constraints, the envisaged robustness properties are clearly crucial to enforce the correct and expected behaviour of these algorithms. This paper contributes with a method to explicitly account for different sources of uncertainty. We also suggest a computational efficient way to consistently modify the constraint specification in order to obtain such robustness. An experimental verification on a visual aided grasping task, where visibility of the object is to be maintained, enlightens the benefits of the proposed approach in terms of achieving the desired robustness.
Unstable states of BGaN(P, As) / Ga(P, As) materials

The spinodal decomposition ranges of low N-content B<inf>x</inf>Ga<inf>1−x</inf>N<inf>y</inf> (P,As)<inf>1−y</inf>/Ga(P,As) alloys grown on Ga(P,As) (001) substrates, are described. The alloys are represented as strictly regular solutions. In the analysis, we take into account the transformation of the bonds, strain and elastic energies. Spinodal decomposition ranges of B<inf>x</inf>Ga<inf>1−x</inf>N<inf>y</inf>P<inf>1−y</inf> alloys with compositions x = 0.01, 0.013, 0.015 and 0 ≤ y ≤ 0.08 are demonstrated up to 1100°C, and to B<inf>x</inf>Ga<inf>1−x</inf>N<inf>y</inf>As<inf>1−y</inf> with compositions x = 0.008, 0.01, 0.011, 0.012 and 0 ≤ y ≤ 0.06 are demonstrated up to 1180°C. The estimations show that the decomposition ranges are larger when the transformation of the bonds is not considered.
The 1line keyboard: a QWERTY layout in a single line

Current soft QWERTY keyboards often consume a large portion of the screen space on portable touchscreens. This space consumption can diminish the overall user experi-ence on these devices. In this paper, we present the 1Line keyboard, a soft QWERTY keyboard that is 140 pixels tall (in landscape mode) and 40% of the height of the native iPad QWERTY keyboard. Our keyboard condenses the three rows of keys in the normal QWERTY layout into a single line with eight keys. The sizing of the eight keys is based on users' mental layout of a QWERTY keyboard on an iPad. The system disambiguates the word the user types based on the sequence of keys pressed. The user can use flick gestures to perform backspace and enter, and tap on the bezel below the keyboard to input a space. Through an evaluation, we show that participants are able to quickly learn how to use the 1Line keyboard and type at a rate of over 30 WPM after just five 20-minute typing sessions. Using a keystroke level model, we predict the peak expert text entry rate with the 1Line keyboard to be 66--68 WPM.
Getting Synonym Candidates from Raw Data in the English Lexical Substitution Task

Distributionalsimilarityprovidesatechniquefor obtainingsemanticallyrelatedwords fromcorpusdatausingautomatedmethodsthatcompa rethecontextsinwhichthe wordsappear.Suchmethodscanbeusefulforproduc ingthesauruses,withapplication toworkinlexicographyandcomputationallinguisti cs.However,themostsimilarwords producedusingthesemethodsarenotalwaysnearsy nonyms,butmaybewordsinother semanticrelationships:antonyms,hyponymsoreven looser'topical'relations.This meansthatmanualpost.processingofsuchautomatic allyproducedresourcestofilter outunwantedwordsmaybenecessarybeforetheycan beused.Thispaperevaluatesthe performanceofdistributionalmethodsforfindings ynonymsontheEnglishLexical SubstitutionTask,alexicalparaphrasingtaskwher eitisnecessarytogeneratecandidate synonymsforatargetwordandthenselectasuitab lesubstituteonthebasisof contextualinformation.Weexaminetheperformance
PETS-a simulation tool for power electronics

This paper describes PETS (Power Electronics Transient Simulator), a computer program for the time-domain analysis of power electronic circuits. Methods implemented in PETS include standard techniques such as the modified nodal approach to forming system equations and numerical integration with automatic time-step control, together with new techniques including a state determination algorithm and representation of elements to maintain a constant system matrix. The simulator supports arbitrarily complex piecewise-linear models and smooth nonlinear models using a delay approximation. The methods implemented in PETS are illustrated using two examples: a quadratic buck power converter, and a closed-loop power factor corrector.
Why Do Young People Multitask With Multiple Media? Explicating the Relationships Among Sensation Seeking, Needs, and Media Multitasking Behavior

This study investigates the reason that young people multitask with multiple media. This study extends uses and gratification (U&G) theory by adding arousal theory to explain the mediated relationships among sensation seeking, needs for media use, and media multitasking behavior, thus, synthesizing previous studies that have supported the direct effect models. This project is based on an online survey of 938 valid respondents from four universities in different areas of Taiwan. The data supported the proposed mediation model and results show that high convenience, high social, and low efficiency needs for media use perfectly mediate the effect of sensation seeking on media multitasking frequency.
TWO-LEVEL METHODS BASED ON THREE CORRECTIONS FOR THE 2D/3D STEADY NAVIER-STOKES EQUATIONS

Two-level finite element methods are applied to solve numerically the 2D/3D steady Navier-Stokes equations if a strong uniqueness condition ( ‖f‖ −1 ‖f‖0 ) 1 2 ≤ δ = 1 − N‖f‖ −1 ν2 holds, where N is defined in (2.4)-(2.6). Moreover, one-level finite element method is applied to solve numerically the 2D/3D steady Navier-Stokes equations if a weak uniqueness condition 0 < δ < ( ‖f‖ −1 ‖f‖0 ) 1 2 holds. The two-level algorithms are motivated by solving a nonlinear problem on a coarse grid with mesh size H and computing the Stokes, Oseen and Newton correction on a fine grid with mesh size h << H. The uniform stability and convergence of these methods with respect to δ and grid sizes h and H are provided. Finally, some numerical tests are made to demonstrate the effectiveness of one-level method and the three two-level methods.