Miracle-dz/UniFAR-FTUs huggingface dataset:
MOVING VEHICLE TRACKING USING DISJOINT-VIEW MULTICAMERAS

Multicamera vehicle tracking is a necessary part of any video-based intelligent transportation system for extracting different traffic parameters; such as link travel times and origin/destination counts. In many applications, it is needed to locate traffic cameras disjoint from each other to cover a wide area. This paper presents a method for tracking moving vehicles in such camera networks. The proposed method introduces a new method for handling inter-object occlusions; as the most challenging part of the single camera tracking phase. This approach is based on coding the silhouette of moving objects before and after occlusion and separating occluded vehicles by computing the longest common substring of the related chain codes. In addition, to improve the accuracy of the tracking method, in the multicamera phase, a new feature based on the relationships among surrounding vehicles is introduced. The proposed feature is modeled by an exponential distribution and can efficiently improve the efficiency of the appearance (space-time) features when they cannot discriminate between correspondent and non-correspondent vehicles; due to noise or dynamic condition of traffic scenes. A graph-based approach is then used to track vehicles in the camera network. Experimental results show the efficiency of the proposed method.
Application of Energy Entropy in Motor Imagery EEG Classification

Feature extraction and classification of EEG signals is core issues on EEG-based brain computer interface (BCI). Typically, such classification has been performed using signals from a set of selected EEG sensors. Because EEG sensor signals are mixtures of effective signals and noise, which has low signal-to-noise ratio, motor imagery EEG signals can be difficult to classification. In this paper, the energy entropy was used to preprocess motor imagery EEG data, and the Fisher class separability criterion was used to extract features. Finally, classification of four types motor imagery EEG was performed by a method based on the statistical theory or multilayer back-propagation neural networks (BPNN) and support vector machines (SVM). The results showed that classification accuracy using our method was significantly higher then using back-propagation neural networks or support vector machine in any type combination for the three subjects.
Phase-resolved spectroscopic study of the isolated neutron star RBS 1223 (1RXS J130848.6+212708)

Aims. We constrain the mass-to-radius ratio of isolated neutron stars by performing a spin-phase resolved X-ray spectroscopic analysis. Methods. We combined the data from all observations of RBS 1223 (1RXS J130848.6+212708) conducted by XMM-Newton EPIC pn with the same instrumental setup in 2003−2007 to form spin-phase resolved spectra. We implemented a number of complex models of neutron stars with strongly magnetized (Bpole ∼ 10 13 −10 14 G) surfaces, various temperature and magnetic-field distributions around their magnetic poles, and a partially ionized hydrogen-thin atmosphere above into the X-ray spectral fitting package XSPEC for simultaneous fitting of phase-resolved spectra. A Markov-chain Monte Carlo (MCMC) approach is also applied to verify the results of fitting and estimating of parameters in multi-parameter models. Results. The spectra of different rotational phase intervals and light curves of different energy bands with high signal-to-noise ratio show a high complexity. The spectra can be parameterized with a Gaussian absorption-line superimposed on a blackbody spectrum, while the pulsed fraction of light curves with double-humped shape strongly depend upon the energy band (13−42%), which indicates that radiation emerges from at least two emitting areas. Conclusions. A model with a condensed iron surface and partially ionized hydrogen-thin atmosphere above allows us to fit simultaneously the observed general spectral shape and the broad absorption feature observed at 0.3 keV in different spin phases of RBS 1223. We constrain some physical properties of the X-ray emitting areas, i.e. the temperatures (Tp1 ∼ 105 eV, Tp2 ∼ 99 eV), magnetic field strengths (Bp1 ≈ Bp2 ∼ 8.6 × 10 13 G) at the poles, and their distribution parameters (a1 ∼ 0.61, a2 ∼ 0.29, indicating an absence of strong toroidal magnetic field component). In addition, we are able to place some constraints on the geometry of the emerging X-ray emission and the gravitational redshift (z = 0.16 +0.03 −0.01 ) of RBS 1223.
Reusable Metaheuristic Software Components and their Application via Software Generators

There are several strong arguments in favor of reusable software components for metaheuristics. First of all, mature scientific knowledge that is aimed to solve practical problems must also be viewed from the technology transformation point of view. If we consider the main metaheuristic concepts as sufficiently understood, we must strive to facilitate the efficient application of metaheuristics by suitable means. “No systems, no impact! ” [21] means that we need in practice easy-to-use application systems that incorporate the results of basic research. Therefore, we also have to deal with the issue of efficiently building such systems to bridge the gap between research and practice. From a research point of view, software reuse may also provide a way for a fair comparison of different heuristics within controlled and unbiased experiments, which conforms to some of the criticism discussed in the literature [2, 15].
Complete Genome Sequence of a High Lipid-Producing Strain of Mucor circinelloides WJ11 and Comparative Genome Analysis with a Low Lipid-Producing Strain CBS 277.49

The genome of a high lipid-producing fungus Mucor circinelloides WJ11 (36% w/w lipid, cell dry weight, CDW) was sequenced and compared with that of the low lipid-producing strain, CBS 277.49 (15% w/w lipid, CDW), which had been sequenced by Joint Genome Institute. The WJ11 genome assembly size was 35.4 Mb with a G+C content of 39.7%. The general features of WJ11 and CBS 277.49 indicated that they have close similarity at the level of gene order and gene identity. Whole genome alignments with MAUVE revealed the presence of numerous blocks of homologous regions and MUMmer analysis showed that the genomes of these two strains were mostly co-linear. The central carbon and lipid metabolism pathways of these two strains were reconstructed and the numbers of genes encoding the enzymes related to lipid accumulation were compared. Many unique genes coding for proteins involved in cell growth, carbohydrate metabolism and lipid metabolism were identified for each strain. In conclusion, our study on the genome sequence of WJ11 and the comparative genomic analysis between WJ11 and CBS 277.49 elucidated the general features of the genome and the potential mechanism of high lipid accumulation in strain WJ11 at the genomic level. The different numbers of genes and unique genes involved in lipid accumulation may play a role in the high oleaginicity of strain WJ11.
Modelling and Optimization of Stochastic Routing for Wireless Multi-Hop Networks

We introduce a novel approach to multi-hop routing in wireless networks. Instead of the usual graph description we characterize the network by the packet delivery ratio matrix whose entries represent the probability that a given node decodes the packet transmitted by any other node. The model lends itself naturally to the formulation of stochastic routing protocols in which packets are randomly routed to neighboring nodes; and routing algorithms search for a matrix of routing probabilities according to properly defined optimality criteria. The goal of the paper is to show that this novel framework offers a useful model to aid in the design of optimal routing algorithms. In particular, it is established that: (i) performance is improved with respect to graph descriptions; and (ii) optimal routes can be obtained as the solution of optimization problems, many of which turn out to be convex and can thus be solved in polynomial time using interior point methods.
Whole-Transcriptome Survey of the Putative ATP-Binding Cassette (ABC) Transporter Family Genes in the Latex-Producing Laticifers of Hevea brasiliensis

The ATP-binding cassette (ABC) proteins or transporters constitute a large protein family in plants and are involved in many different cellular functions and processes, including solute transportation, channel regulation and molecular switches, etc. Through transcriptome sequencing, a transcriptome-wide survey and expression analysis of the ABC protein genes were carried out using the laticiferous latex from Hevea brasiliensis (rubber tree). A total of 46 putative ABC family proteins were identified in the H. brasiliensis latex. These consisted of 12 ‘full-size’, 21 ‘half-size’ and 13 other putative ABC proteins, and all of them showed strong conservation with their Arabidopsis thaliana counterparts. This study indicated that all eight plant ABC protein paralog subfamilies were identified in the H. brasiliensis latex, of which ABCB, ABCG and ABCI were the most abundant. Real-time quantitative reverse transcription-polymerase chain reaction assays demonstrated that gene expression of several latex ABC proteins was regulated by ethylene, jasmonic acid or bark tapping (a wound stress) stimulation, and that HbABCB15, HbABCB19, HbABCD1 and HbABCG21 responded most significantly of all to the abiotic stresses. The identification and expression analysis of the latex ABC family proteins could facilitate further investigation into their physiological involvement in latex metabolism and rubber biosynthesis by H. brasiliensis.
Anti-EBOV GP IgGs Lacking α1-3-Galactose and Neu5Gc Prolong Survival and Decrease Blood Viral Load in EBOV-Infected Guinea Pigs

Polyclonal xenogenic IgGs, although having been used in the prevention and cure of severe infectious diseases, are highly immunogenic, which may restrict their usage in new applications such as Ebola hemorrhagic fever. IgG glycans display powerful xenogeneic antigens in humans, for example α1–3 Galactose and the glycolyl form of neuraminic acid Neu5Gc, and IgGs deprived of these key sugar epitopes may represent an advantage for passive immunotherapy. In this paper, we explored whether low immunogenicity IgGs had a protective effect on a guinea pig model of Ebola virus (EBOV) infection. For this purpose, a double knock-out pig lacking α1–3 Galactose and Neu5Gc was immunized against virus-like particles displaying surface EBOV glycoprotein GP. Following purification from serum, hyper-immune polyclonal IgGs were obtained, exhibiting an anti-EBOV GP titer of 1:100,000 and a virus neutralizing titer of 1:100. Guinea pigs were injected intramuscularly with purified IgGs on day 0 and day 3 post-EBOV infection. Compared to control animals treated with IgGs from non-immunized double KO pigs, the anti-EBOV IgGs-treated animals exhibited a significantly prolonged survival and a decreased virus load in blood on day 3. The data obtained indicated that IgGs lacking α1–3 Galactose and Neu5Gc, two highly immunogenic epitopes in humans, have a protective effect upon EBOV infection.
Differential access to health care and support? A qualitative analysis of how Australian smokers conceptualise and respond to stigma

Abstract Scholarship on stigma, originally theorised as a ‘mark’ of social disgrace or difference, has since moved away from individual-level analyses to consider the socio-cultural context in the ‘marking’ of groups of people. In response to this theoretical shift, scholars have demonstrated how extensive tobacco denormalisation policies have contributed to the stigmatisation of smokers, documenting smokers’ experiences of stigma across a number of developed countries. We extend this analysis to the Australian context, examining smokers’ constructions of stigma and their reactions to policies that would give smokers differential access to healthcare. Based on 29 interviews with Australian smokers, we focus on what constitutes evidence of stigma and how participants use social comparisons to respond to stigma. We then explore an assumption underpinning participants’ accounts of stigma: that only smokers committed to cessation are ‘deserving’ of treatment. We close by discussing theoretical perspectives and opportunities in stigma research and the need to extend a stigma lens to study emerging public health issues, such as electronic cigarettes.
Multicore SIP parsing with imperative and declarative implementations

In the paper we present a parallel parser for the Session Initiation Protocol (SIP), a protocol used in the 3GPP's IP Multimedia System (IMS) framework. The parser utilizes multiple cores of a multicore processor and is based on SIP's official Augmented Backus Naur Form (ABNF) grammar that specifies SIP's lexical and syntactic properties. We describe in detail the parser's algorithm, which is not bound to any programming language, and its implementations in three multicore-oriented programming languages (C++ with CILK multicore library, Java with JSR-166 multicore library and Erlang). The parser's implementations are tested with official SIP Torture suite of messages. We show the results and discuss the strengths and weaknesses of each of the implementations.
Declarative interface for in-network actuation on wireless sensor-actuator networks

Declarative SQL queries are a way of abstracting out the underlying complexity in Wireless sensor-actuator networks (WSAN). Current SQL syntax to perform actuation tasks misleads the user because of their artificial way of expressing the actuation tasks thus violating the purpose of the declarative nature. Particularly with respect to distributed in-network actuation tasks where multiple sensor nodes and actuator nodes are involved, the user may be required to write multiple queries based on the current actuation query syntax causing a negative impact on the performance. We address these issues in existing declarative layer with modifications to the virtual data table of the abstraction and thus a new syntax is suggested and implemented.
A search for ultra-compact dwarf galaxies in the Centaurus galaxy cluster ,

Aims. Our aim is to extend the investigations of ultra-compact dwarf galaxies (UCD) beyond the well studied Fornax and Virgo clusters. Methods. We measured spectroscopic redshifts of about 400 compact object candidates with 19.2 < V < 22.4 mag in the central region of the Centaurus galaxy cluster (d = 43 Mpc), using 3 pointings with VIMOS@VLT. The luminosity range of the candidates covers the bright end of the globular cluster (GC) luminosity function and the luminosity regime of UCDs in Fornax and Virgo. Within the area surveyed, our completeness in terms of slit allocation is ≈30%. Results. We find 27 compact objects with radial velocities consistent with them being members of Centaurus, covering an absolute magnitude range −12.2 < MV < −10.9 mag. We do not find counterparts to the two very large and bright UCDs in Fornax and Virgo with MV = −13.5 mag, possibly due to survey incompleteness. The compact objects’ distribution in magnitude and space is consistent with that of the GC population. Their kinematics and spatial distribution indicate that they are associated more to the central galaxies than to the overall cluster potential. The compact objects have a mean metallicity consistent with that of the metalrich globular cluster sub-population. Compact objects with high S /N spectra exhibit solar [α/Fe] abundances, consistent with typical dwarf elliptical galaxy values and unlike galactic bulge globular clusters. HST based size estimates for a sub-sample of eight compact objects reveal the existence of one very large object with half-light radius rh around 30 pc, having MV = −11. 6m ag (� 10 7 M� ). This source shows super-solar [α/Fe] abundances. Seven further sources are only marginally larger than typical GCs with rh in the range 4 to 10 pc. Those sources exhibit a large scatter in [α/Fe] abundances. Conclusions. We consider the largest compact object found to be the only bona fide UCD detected in our study. In order to improve our understanding of UCDs in Centaurus, a significant increase of our survey completeness is necessary.
TURKISH STOCK MARKET ANALYSIS USING MIXTURE OF EXPERTS

Istanbul Stock Exchange (ISE) stock market is not an efficient market. In this paper, we show how localized and global artificial neural network (ANN) models are used for risk estimation of asset returns. Mixture of Experts (MoE) and Recurrent Neural Networks (RNN) are more powerful to say that Efficient Market Hypothesis (EMH) is violated. ISE index XU100 is studied using daily data over a 14-year period using MoE and RNN neural networks and also Glosten-JaganathanRunkle (GJR) volatility models. The results suggest that localized neural approaches have the strength in modeling the risk in stock market time series data set of XU100.
Size effects in molecular dynamics thermal conductivity predictions

We predict the bulk thermal conductivity of Lennard-Jones argon and Stillinger-Weber silicon using the Green-Kubo GK and direct methods in classical molecular dynamics simulations. While system-sizeindependent thermal conductivities can be obtained with less than 1000 atoms for both materials using the GK method, the linear extrapolation procedure Schelling et al., Phys. Rev. B 65, 144306 2002 must be applied to direct method results for multiple system sizes. We find that applying the linear extrapolation procedure in a manner consistent with previous researchers can lead to an underprediction of the GK thermal conductivity e.g., by a factor of 2.5 for Stillinger-Weber silicon at a temperature of 500 K. To understand this discrepancy, we perform lattice dynamics calculations to predict phonon properties and from these, length-dependent thermal conductivities. From these results, we find that the linear extrapolation procedure is only accurate when the minimum system size used in the direct method simulations is comparable to the largest mean-free paths of the phonons that dominate the thermal transport. This condition has not typically been satisfied in previous works. To aid in future studies, we present a simple metric for determining if the system sizes used in direct method simulations are sufficiently large so that the linear extrapolation procedure can accurately predict the bulk thermal conductivity.
Therapeutic Potential of Non-Psychotropic Cannabidiol in Ischemic Stroke

Cannabis contains the psychoactive component delta9-tetrahydrocannabinol (delta9-THC), and the non-psychoactive components cannabidiol (CBD), cannabinol, and cannabigerol. It is well-known that delta9-THC and other cannabinoid CB1 receptor agonists are neuroprotective during global and focal ischemic injury. Additionally, delta9-THC also mediates psychological effects through the activation of the CB1 receptor in the central nervous system. In addition to the CB1 receptor agonists, cannabis also contains therapeutically active components which are CB1 receptor independent. Of the CB1 receptor-independent cannabis, the most important is CBD. In the past five years, an increasing number of publications have focused on the discovery of the anti-inflammatory, anti-oxidant, and neuroprotective effects of CBD. In particular, CBD exerts positive pharmacological effects in ischemic stroke and other chronic diseases, including Parkinson’s disease, Alzheimer’s disease, and rheumatoid arthritis. The cerebroprotective action of CBD is CB1 receptor-independent, long-lasting, and has potent anti-oxidant activity. Importantly, CBD use does not lead to tolerance. In this review, we will discuss the therapeutic possibility of CBD as a cerebroprotective agent, highlighting recent pharmacological advances, novel mechanisms, and therapeutic time window of CBD in ischemic stroke.
Fast decision algorithms based on union and find

The decision algorithms rely on an algorithm for computing the congruence closure of a relation on a graph. Let G = (V,E) be a directed graph and R a (binary) relation on V. Define the congruence closure ~ of R on G to be the unique minimal extension of R, such that (1) ~ is an equivalence relation, and (2) for any two vertices u and" in V, if all corresponding successors of u and v are equivalent under~, then so are u and v. We give a simple algorithm for computing congruence closures in O(mn) time, where n is the number of vertices and m the number of edges in G.
Bipolarity in preferences and intentions for more human consistent decision analysis and database querying

The concept of a bipolar query, meant as a database query that involves both mandatory and optional conditions, is discussed from the point of view of, first, flexible database querying and, second, some newer approaches to decision making involving affects and judgments, unconventional multicriteria decision making and the modeling of sophisticated user's intentions and preferences of a positive and negative character. Aggregation of the matching degrees against the negative and positive conditions to derive an overall matching degree is considered in the fuzzy logic and possibilistic setting. Moreover, the use of a multiple valued logic based formalism for the representation of positive and negative desires in the context of intention modeling is advocated.
PERMITTIVITY MEASUREMENT AND ANISOTROPY EVALUATION OF DIELECTRIC MATERIALS AT MILLIMETER-WAVES

This paper describes the design and use of an open Fabry-Perot resonator to evaluate the degree of anisotropy of dielectric material samples at millimeter- waves. The proposed implementation not only allows identifying the orientation of the dielectric principal axes but also determining the complex permittivity values along these axes.
Detailed Modeling and Evaluation of a Scalable Multilevel Checkpointing System

High-performance computing (HPC) systems are growing more powerful by utilizing more components. As the system mean time before failure correspondingly drops, applications must checkpoint frequently to make progress. However, at scale, the cost of checkpointing becomes prohibitive. A solution to this problem is multilevel checkpointing, which employs multiple types of checkpoints in a single run. Lightweight checkpoints can handle the most common failure modes, while more expensive checkpoints can handle severe failures. We designed a multilevel checkpointing library, the Scalable Checkpoint/Restart (SCR) library, that writes lightweight checkpoints to node-local storage in addition to the parallel file system. We present probabilistic Markov models of SCR's performance. We show that on future large-scale systems, SCR can lead to a gain in machine efficiency of up to 35 percent, and reduce the load on the parallel file system by a factor of two. Additionally, we predict that checkpoint scavenging, or only writing checkpoints to the parallel file system on application termination, can reduce the load on the parallel file system by 20 × on today's systems and still maintain high application efficiency.
Want, Need, Fit

Drawing from a unique dataset based on 146 in-depth, semistructured interviews with a nonrandom sample of ethnoracially and class diverse workers at one large public sector employer, the authors link job contacts’ patterns of assistance to three distinct cultural logics of job-matching assistance—defensive individualism, particularism, and matchmaking—which differed along three dimensions: (a) the primary criteria upon which help was contingent, (b) the perceived risk faced, and (c) the screening practices contacts used. These findings contribute to a small but growing body of research highlighting the cultural logics that inform where, how much, and to whom job information and influence flows.