Miracle-dz/UniFAR-FTUs huggingface dataset:
Improved Classification and Discrimination by Successive Hyperplane and Multi-Hyperplane Separation

We propose new models for classification and discrimination analysis based on hyperplane and multi-hyperplane separation models. Our models are augmented for greater effectiveness by a tree-based successive separation approach that can be implemented in conjunction with either linear programming or mixed integer programming formulations. Additional model robustness for classifying new points is achieved by incorporating a retrospective enhancement procedure. The resulting models and methods may be viewed from the perspective of support vector machines and supervised machine learning, although the new approaches produce regions and means of exploring them that are not encompassed by the procedures customarily applied. We focus primarily on two-group classification, but also identify how our approaches can be applied to classify points that lie in multiple groups.
Does Workplace Social Capital Associate with Hazardous Drinking Among Chinese Rural-Urban Migrant Workers?

Background The present study sought to investigate the associations between workplace social capital and hazardous drinking (HD) among Chinese rural-urban migrant workers (RUMW). Methods A cross sectional study with a multi-stage stratified sampling procedure was conducted in Shanghai during July 2012 to January 2013. In total, 5,318 RUMWs from 77 workplaces were involved. Work-place social capital was assessed using a validated and psychometrically tested eight-item measure. The Chinese version of Alcohol Use Disorders Identification Test (AUDIT) was used to assess hazardous drinking. Control variables included gender, age, marital status, education level, salary, and current smoking. Multilevel logistic regression analysis was conducted to test whether individual- and workplace-level social capital was associated with hazardous drinking. Results Overall, the prevalence of HD was 10.6%. After controlling for individual-level socio-demographic and lifestyle variables, compared to workers in the highest quartile of individual-level social capital, the odds of HD for workers in the three bottom quartiles were 1.13(95%CI: 1.04–1.23), 1.17(95%CI: 1.05–1.56) and 1.26(95%CI: 1.13–1.72), respectively. However, contrary to hypothesis, there was no relationship between workplace-level social capital and hazardous drinking. Conclusions Higher individual-level social capital may protect against HD among Chinese RUMWs. Interventions to build individual social capital among RUMWs in China may help reduce HD among this population.
Hierarchical Control Flow Graph Models

Hierarchical Control Flow Graph Models de(cid:12)ne a modeling paradigm for discrete event simulation modeling based upon hierarchical extensions to Control Flow Graph Models. Conceptually, models consist of a set of encapsulated, concurrently operating model components that interact solely via message passing. The primary objectives of Hierarchical Control Flow Graph Models are: (1) to facilitate model development by making it easier to develop, maintain, and reuse models and model elements, and (2) to support the (cid:13)exible and e(cid:14)cient execution of models. Hierarchical Control Flow Graph Models use two complementary types of hierarchical model speci(cid:12)cation structures, one to specify components and their interconnections, and the other to specify component behaviors.
PENGARUH KEPUASAN GAJI, SHIFT KERJA MALAM DAN KEPUASAN KERJA TERHADAP INTENSI KELUAR KARYAWAN (Studi pada Call Center PT Vads Indonesia Kantor Cabang Yogyakarta)

High rate of turnover leads to adverse effect to an organization. Such problem is likely generating instability and uncertainty towards employment condition and human resources cost rise in forms of training invested to them, recruitment and newly built training programs. High turnover, in addition, also results in organizational ineffectiveness because it loses experienced employees as well as spends much times in training new, inexperienced employees. This study aims to analyze the effect of pay satisfaction, night shift work, and work on turnoverx intention. Samples that used in this research are 76 call center of PT Vads Indonesia employees with using simple random sampling, method data analysis used are multiple linear regression analysis, using SPSS program. Results of hypothesis testing, shows that the variables: the pay satisfaction has negative influence on turnover intention, night shift work has negative influence on job satisfaction, night shift work has positive influence on turnover intention, work satisfaction has negative influence on turnover intention and job satisfaction partially mediates between night shift work on turnover intention.
Increasing wrist fracture rates in children may have major implications for future adult fracture burden

Background and purpose — Childhood fractures are associated with lower peak bone mass (a determinant of osteoporosis in old age) and higher adult fracture risk. By examining time trends in childhood fracture epidemiology, it may be possible to estimate the vector of fragility fracture risk in the future. Patients and methods — By using official inpatient and outpatient data from the county of Skåne in Sweden, 1999–2010, we ascertained distal forearm fractures in children aged ≤ 16 years and estimated overall and age- and sex-specific rates and time trends (over 2.8 million patient years) and compared the results to earlier estimations in the same region from 1950 onwards. Results — During the period 1999–2010, the distal forearm fracture rate was 634 per 105 patient years (750 in boys and 512 in girls). This was 50% higher than in the 1950s with a different age-rate distribution (p < 0.001) that was most evident during puberty. Also, within the period 1999–2010, there were increasing fracture rates per 105 and year (boys +2.0% (95% CI: 1.5–2.6), girls +2.4% (95% CI: 1.7–3.1)). Interpretation — The distal forearm fracture rate in children is currently 50% higher than in the 1950s, and it still appears to be increasing. If this higher fracture risk follows the children into old age, numbers of fragility fractures may increase sharply—as an upturn in life expectancy has also been predicted. The origin of the increase remains unknown, but it may be associated with a more sedentary lifestyle or with changes in risk behavior.
CONSTRAINTS ON LARGE-SCALE MAGNETIC FIELDS FROM THE AUGER RESULTS

A recent article from the Pierre Auger Collaboration links the direction of charged cosmic rays to possible extragalactic sites of emission. The correlation of the direction of such particles with the direction of the emitter allows constraining the value of large-scale magnetic fields B. Assuming for B a coherence length λ in the range between 1 Mpc and 10 Mpc, we find values of B between 0.3 and 0.9 nG.
Verification of Uncertain Embedded Systems by Computing Reachable Sets Based on Zonotopes

Formal verification using reachability analysis has been shown to be useful for detecting design failures for controlled embedded systems, and thus to improve dependability. If the state space is hybrid, however, the growth of complexity with the dimension of the continuous dynamics limits the applicability significantly. This paper proposes an efficient approach to computing reachable sets for hybrid systems with time-varying linear continuous dynamics and uncertain inputs. The key idea is to combine zonotopes and polytopes for set representation when reachable sets are intersected with the transition guards which determine the discrete behavior of the hybrid system. Different methods for conservatively transforming zonotopes into polytopes (and vice versa) are proposed and experimentally compared.
Multiple Positive Solutions to Nonlinear Boundary Value Problems of a System for Fractional Differential Equations

By using Krasnoselskii's fixed point theorem, we study the existence of at least one or two positive solutions to a system of fractional boundary value problems given by −D 0+ ν1 y 1(t) = λ 1 a 1(t)f(y 1(t), y 2(t)), − D 0+ ν2 y 2(t) = λ 2 a 2(t)g(y 1(t), y 2(t)), where D 0+ ν is the standard Riemann-Liouville fractional derivative, ν 1, ν 2 ∈ (n − 1, n] for n > 3 and n ∈ N, subject to the boundary conditions y 1 (i)(0) = 0 = y 2 (i)(0), for 0 ≤ i ≤ n − 2, and [D 0+ α y 1(t)]t=1 = 0 = [D 0+ α y 2(t)]t=1, for 1 ≤ α ≤ n − 2, or y 1 (i)(0) = 0 = y 2 (i)(0), for 0 ≤ i ≤ n − 2, and [D 0+ α y 1(t)]t=1 = ϕ 1(y 1), [D 0+ α y 2(t)]t=1 = ϕ 2(y 2), for 1 ≤ α ≤ n − 2, ϕ 1, ϕ 2 ∈ C([0,1], R). Our results are new and complement previously known results. As an application, we also give an example to demonstrate our result.
Maltreatment and Juvenile Delinquency Among Crossover Youth

IV TABLE OF CONTENTS . VI LIST OF TABLES . VIII ACKNOWLEDGEMENTS . XII LITERATURE REVIEW . 14 1.1 A PORTRAIT OF JUVENILE DELINQUENCY AND CROSSOVER YOUTH . 16 1.2 MALTREATMENT AS A PREDICTOR OF JUVENILE DELINQUENCY . 20 1.3 LIMITATIONS OF THE LITERATURE . 24 1.4 THEORETICAL FRAMEWORK . 27 1.5 POTENTIAL IMPLICATIONS . 31 1.6 OBJECTIVES . 33 METHODS . 36 2.1 DATA SOURCE . 38 2.2 OPERATIONALIZATION OF VARIABLES . 42 2.3 STATISTICAL ANALYSES . 47 ARTICLE 1 A PORTRAIT OF CROSSOVER YOUTH IN QUEBEC, CANADA: EXAMINING PARAMETERS OF MALTREATMENT AND JUVENILE DELINQUENCY . 48 3.1 ABSTRACT . 50 3.2 A SNAPSHOT OF JUVENILE DELINQUENCY . 52 3.3 A REVIEW ON CROSSOVER YOUTH . 53 3.4 THEORETICAL FRAMEWORK . 56 3.5 OBJECTIVES . 57 3.6 METHODS . 58 3.7 RESULTS . 61 3.8 DISCUSSION . 67 ARTICLE 2 PARAMETERS OF MALTREATMENT AS PREDICTORS OF PARAMETERS OF SUBSEQUENT JUVENILE DELINQUENCY . 76
Regional approach to fMRI data analysis using hemodynamic response modeling

Analysis of functional magnetic resonance imaging (fMRI) data has been performed using both model-driven (parametric) methods and data-driven methods. An advantage of model-driven methods is incorporation of prior knowledge of spatial and temporal properties of the hemodynamic response (HDR). A novel analytical framework for fMRI data has been developed that identifies multi-voxel regions of activation through iterative segmentation-based optimization over HDR estimates for both individual voxels and regional groupings. Simulations using synthetic activation embedded in autoregressive integrated moving average (ARIMA) noise reveal the proposed procedure to be more sensitive and selective than conventional fMRI analysis methods (reference set: principle component analysis, PCA; independent component analysis, ICA; k-means clustering, k=100; univariate t-test) in identification of active regions over the range of average contrast-to-noise ratios of 0.5 to 4.0. Results of analysis of extant human data (for which the average contrast-to-noise ratio is unknown) are further suggestive of greater statistical detection power. Refinement of this new procedure is expected to reduce both false positive and negative rates, without resorting to filtering that can reduce the effective spatial resolution.
Evolution of Cluster Galaxies in Hierarchical Clustering Universes

Using cosmological N-body simulations of critical (SCDM) and open ( = 0.3, OCDM) cold dark matter models, we investigated the evolution of cluster galaxies. Based on our numerical simulation, we constructed merging history trees of the galaxies. By following their merging history, we could show that the major merger fractions of the galaxies in cluster-forming regions is roughly proportional to (1 + z) 4.5 at low redshifts (z < 2), and has a steep peak at z ≃ 2.5 and z ≃ 3 in SCDM and OCDM, respectively. We also show that the cluster galaxies are affected by the tidal interaction after the clusters are formed. Because the formation redshift of the cluster in SCDM, zform = 0.15, is much more recent than that of the cluster in OCDM, zform = 1.6, the cluster galaxies in SCDM show more rapid evolution by tidal interactions from z = 0.5 than those in OCDM.
Efficient Batch Processing for Multiple Keyword Queries on Graph Data

Recently, answering keyword queries on graph data has drawn a great deal of attention from database communities. However, most graph keyword search solutions proposed so far primarily focus on a single query setting. We observe that for a popular keyword query system, the number of keyword queries received could be substantially large even in a short time interval, and the chance that these queries share common keywords is quite high. Therefore, answering keyword queries in batches would significantly enhance the performance of the system. Motivated by this, this paper studies efficient batch processing for multiple keyword queries on graph data. Realized that finding both the optimal query plan for multiple queries and the optimal query plan for a single keyword query on graph data are computationally hard, we first propose two heuristic approaches which target maximizing keyword overlap and give preferences for processing keywords with short sizes. Then we devise a cardinality based cost estimation model that takes both graph data statistics and search semantics into account. Based on the model, we design an A* based algorithm to find the global optimal execution plan for multiple queries. We evaluate the proposed model and algorithms on two real datasets and the experimental results demonstrate their efficacy.
Overweight and Obesity among Children (10-13 years) in Bahrain:A comparison between Two International Standards

Objective: Obesity has become one of the main public health problems worldwide. Childhood obesity rate is growing very fast in both developed and developing countries. This paper aimed to explore the prevalence of overweight and obesity among school children aged 10-13 years in Bahrain, and to find out the difference in this prevalence when using two international standards. Methods: A multistage stratified sampling procedure was used to select 2146 students (1068 males, 1078 females) from public schools in Bahrain. Weight and height were measured and Body Mass Index for age and sex was calculated to determine the obesity levels. Both International Obesity Task Force (IOTF) and World Health Organization (WHO) references were used to determine the prevalence of overweight and obesity. Results: The findings revealed that the prevalence of overweight and obesity ranged from 15.7% to 28.9% among males and from 21.1% to 30.7% among females. The WHO reference standard provided higher prevalence of overweight and obesity than IOTF reference. Conclusion: The study confirmed that obesity is a problem of concern in Bahraini school children and calls for intervention programme to combat obesity in schools. However, the standard used to determine obesity levels should be carefully selected and interpreted.
Super-resolution acoustic imaging using non-uniform spatial dictionaries

Super-resolution acoustic imaging is a powerful technique for sound field analysis in which a mixture of acoustic signals is decomposed into a sparse set of components selected from a dictionary of spatial directions. In previous work, we have shown that sparse recovery with a reasonably uniform spatial dictionary can be used to increase the resolution of the image of the sound field recorded by a spherical microphone array. In this work, we explore the impact of using a non-uniform spatial dictionary on the resulting acoustic image. More precisely, we explore refining or increasing the resolution of the spatial dictionary in the region of interest, while coarsening or decreasing the spatial resolution of the dictionary for the rest of space. The motivations for modifying the sparse-recovery spatial dictionary are: (1) to enable one to zoom in to a particular region of space; (2) to allow a subdivision of the acoustic imaging problem, whereby different regions of space are successively examined; and (3) to enable one to reduce the overall size of the spatial dictionary and thus reduce the computational requirements of the sparse recovery algorithm. In this paper, we explore the robustness of super-resolution acoustic imaging to non-uniform spatial dictionaries. Simulations indicate that accurate acoustic images can still be obtained with non-uniform spatial dictionaries.
Embracing Heterogeneity in Scheduling MapReduce CS 267 Project Report

Current data-intensive computing applications such as MapReduce and Hadoop do not fundamentally consider heterogeneity of node and workload running in the cluster. In this paper, we point out potential impacts of heterogeneity on these applications and propose Medley, a new scheduler that takes into account heterogeneity. We test our design with detailed simulations and demonstrate benefits of Medley in heterogeneous environments.
Modelling and animating cartoon hair with NURBS surfaces

In this paper we present a technique for the modelling and animation of cartoon hair. In our approach the primary shape and motion of the hair is defined by an animated NURBS volume, along whose surface are generated clumps of hair geometry. The basis of these hair clumps is formed by key hair curves that are grown along the isocurves of the originating surface and which follow its motion. Particle dynamics are applied to each key hair and blended with initial animation using springs. Profile curves are then extruded along the length of the hey hairs to create the geometry details of the hairdo. The finished animated hairdo is rendered nonphotorealistically in cartoon style shading
Rapid and robust impact assessment of software changes in large internet-based services

The detection of performance changes in software change roll-outs in Internet-based services is crucial for an operations team, because it allows timely roll-back of a software change when performance degrades unexpectedly. However, it is infeasible to manually investigate millions of performance measurements of many roll-outs. In this paper, we present an automated tool, FUNNEL, for rapid and robust impact assessment of software changes in large Internet-based services. FUNNEL automatically collects the related performance measurements for each software change. To detect significant performance behavior changes, FUNNEL adopts singular spectrum transform (SST) algorithm as the core algorithm, uses various techniques to improve its robustness and reduce its computational cost, and applies a difference-in-difference (DiD) method to differentiate the true causality from the random correlations between the performance change and the software change. Evaluation through historical data in real-word services shows that FUNNEL achieves an accuracy of more than 99.8%. Compared with previous methods, FUNNEL's detection delay is 38.02% to 64.99% shorter, and its computation speed is 4.59 - 7098 times faster. In real deployment, FUNNEL achieves a 98.21% precision, high robustness, fast detection speed, and shows its capability in detecting unexpected performance changes.
Separation of MA + ( σ-closed ) from stationary reflection principles

MA(σ-closed) was introduced by Foreman-Magidor-Shelah [5], and they proved that MA(σ-closed) implies the stationary reflection principle in [λ] for all λ ≥ ω2. On the contrary we prove that MA(σ-closed) does not follow even from stronger stationary reflection principles. More precisely we show that MA(σ-closed) does not follow from a slightly strengthening of the Projectively Stationary Reflection Principle and the Diagonal Reflection Principle to Internally Approachable Sets.
Neurotransmitterfreisetzung an chemischen Synapsen: Zusammenbau und molekulare Organisation der aktiven Zone

Zusammenfassung Chemische Synapsen sind Schlüsselstrukturen der Kommunikation zwischen Nervenzellen. An ihnen werden von der präsynaptischen Zelle chemische Botenstoffe - Neurotransmitter - freigesetzt, die von einem postsynaptischen Detektionsapparat aufgespürt und in intrazellulär verständliche Signale übersetzt werden. Neurotransmitter sind in kleinen membranumhüllten Containern - den synaptischen Vesikeln - in der Präsynapse gespeichert und werden nach elektrischer Stimulationan an einer genau definierten Stelle der präsynaptischen Membran - der aktiven Zone - ausgeschüttet. Dieser Artikel gibt einen Überblick über die aktuellen Fortschritte bei der Erforschung der molekularen Struktur der aktiven Zone und ihres Zusammenbaus während der synaptischen Verschaltung der Nervenzellen. In den letzten Jahren wurde eine Reihe von neuen Proteinen entdeckt, die spezifisch an der aktiven Zone angelagert werden und dort eine Art Matrix, die Cytomatrix an der aktiven Zone (CAZ), bilden. Sie tragen Namen wie Bassoon (Fagott), Piccolo/Aczonin, RIM oder Munc13. Neben einer strukturgebenden Funktion scheinen diese Proteine an der Organisation der verschiedenen Schritte der Transmitterausschüttung beteiligt zu sein. Zudem konnten Bassoon und Piccolo als Sonden eingesetzt werden, um den Zusammenbau der aktiven Zone zu verfolgen. So lassen jüngste Untersuchungen vermuten, dass die Bausteine der CAZ nicht wie ursprünglich angenommen Stück für Stück zur Präsynapse transportiert werden, sondern dass die Zelle hier das Prinzip ‘Fertighaus’ anwendet, das heißt, dass die aktive Zone teilweise bereits innerhalb der Zelle zusammengesetzt und dann aus diesen vorgefertigten Teilen an der Synapse montiert wird. Damit lässt sich prinzipiell auch verstehen, warum neue Synapsen innerhalb von wenigen Minuten gebildet werden können.
Targeting in systems with discontinuities, with applications to power electronics

Targeting methods appropriate for systems with discontinuities are considered. The multivalued inverse function is used to generate multiple preimages of the target region which quickly cover the attractor. This method is applied to the current-controlled boost converter in order to jump between two controlled states. A significant reduction in the length of the target orbit is observed when compared with targeting methods for invertible maps.
Improving the consistency of vocal tract shape estimation

Estimation of the vocal tract shape has applications in articulatory synthesis, speech recognition, and speech-training aids. LPC based analysis can be used to obtain the vocal tract shape during speech segments produced with glottal excitation and with fixed as well as transitional tract configurations. During the stop closures of vowel-consonant-vowel (VCV) utterances, the shape can be estimated by bivariate surface modeling of the shapes during transition segments. The shape obtained by LPC analysis of steady vowels shows variability with the position of the analysis frame. Low-pass filtering of the shapes across the frames for improving the consistency cannot be used during transition segments. A windowed energy index is calculated as the ratio of the energy of the windowed signal to the frame energy, and it is shown that the shapes in the frames corresponding to the valleys in this index have a reduced variability. Thus the selection of the frames based on this index can be used for improving the consistency of vocal tract shape estimation for various applications.
A novel illumination normalization method based on local relation map

This paper presents a novel illumination normalization method to address the issue of illumination invariant face recognition. The proposed method applies a Difference of Gaussians (DoG) filter in the logarithm domain of the images to reduce the effects caused by the shadows. After that, a local relation map (LRM) is extracted as illumination invariant features for further recognition task. The proposed method outperforms the existing normalization approaches significantly based on the experimental results in the Yale B and Extended Yale B database. Moreover, the proposed method does not involve any prior information or modeling step and takes a low computational loan. Therefore it can be easily implemented in a real-time face recognition system.