Miracle-dz/UniFAR-FTUs huggingface dataset:
Analysis on CAW 2 . 0 Datasets

In this paper, we aim to classify non-domain-specific web articles into three types: factual, opinion positive and opinion negative, on the Web 2.0 corpus provided by the CAW 2.0 workshop. We investigate the fields in these Web 2.0 articles and extract features from their contents for developing the classifier. On the one hand, to fully utilize the characteristics of Web 2.0 data, the metadata of the articles are extracted as features for the classifier. On the other hand, words, word sequences, and linguistic cues are also extracted to represent the contents of the articles. An SVM classifier is applied here. Features extracted from the fields available in one dataset are compared with those available in all datasets. Moreover, to extract the sentence structures and grammatical relations as features, a parser is applied on the strings of body contents. Experiment results show that metadata are useful in the classification process, and despite of the evaluating score, the helpfulness field and the author field are two most useful features. As the training data released by CAW 2.0 workshop are categorized into recommended and not recommended, accuracy 0.985, f-score 0.992 for retrieving recommended comments and f-score 0.871 for retrieving not recommended comments are achieved by the proposed SVM classifier using features extracted from both metadata and contents of comments. Then a method for mapping our results to the requested answers of CAW 2.0 workshop is proposed to generate the testing results in the opinion analysis track.
Working Memory and Functional Neuroimaging in Patients with Depression

Numerous studies have demonstrated that patients suffering from depression present impairment in working memory. This paper firstly introduced the concept of working memory, and then elucidated the deficits of working memory of patients with depression. It also reviewed the neuroimaging studies of working memory in patients with depression. In the final part, we further summarized the future research orientations. In short, exploration of working memory on the regulative mechanisms of depression and figuring out that working memory impairment is the cause or the result of depressive symptoms will be the core problem that the future research needs to address.
No-wait flow scheduling hybrid algorithm

In this paper, a new Discrete Particle Swarm Optimization (DPSO) algorithms is introduced for bi-objective no-wait flow scheduling problem, to minimize total flow time (TFT) and maximum completion time (makespan). which makes the problem into single objective by sum of weighted and discrete for no-wait flow scheduling problem. In order to improve the optimization of PSO and increase the algorithm's exploring ability, we can improve the performances through executing Variable Neighborhood Search. Passing through the testing experiments, this hybrid scheduling algorithms has higher superior performance.
Decision Experiment of Attenuation Constant During Location Estimation in RSSI

In wireless sensor networks, location estimation of sensor nodes is important. Therefore some location estimation methods have been proposed. Especially, in wireless sensor networks based on IEEE802.15. 4, a method using received signal strength indicator (RSSI) which can be measured by each sensor node is one of the most practicable methods in the way that new hardware is not needed and it is suitable also for the miniaturization. However this technique has a weak point that it needs to investigate the propagation environment of the sensor field to estimate the location of sensor nodes in advance. This paper proposes the method that the decision of the parameter of the propagation environment using only measurements obtained during localization without investigating prior. Evaluation of this method is shown by simulation and experiment that it is able to decide the propagation parameter of an extent that doesnpsilat influence the location estimation accuracy without investigating the propagation environment of the sensor field.
Utility of Approximate Entropy From Overnight Pulse Oximetry Data in the Diagnosis of the Obstructive Sleep Apnea Syndrome

Approximate entropy (ApEn) is a family of statistics introduced as a quantification of regularity in time series without any a priori knowledge about the system generating them. The aim of this preliminary study was to assess whether a time series analysis of arterial oxygen saturation (SaO2) signals from overnight pulse oximetry by means of ApEn could yield essential information on the diagnosis of obstructive sleep apnea (OSA) syndrome. We analyzed SaO2 signals from 187 subjects: 111 with a positive diagnosis of OSA and 76 with a negative diagnosis of OSA. We divided our data in a training set (44 patients with OSA Positive and 30 patients with OSA Negative) and a test set (67 patients with OSA Positive and 46 patients with OSA Negative). The training set was used for algorithm development and optimum threshold selection. Results showed that recurrence of apnea events in patients with OSA determined a significant increase in ApEn values. This method was assessed prospectively using the test dataset, where we obtained 82.09% sensitivity and 86.96% specificity. We conclude that ApEn analysis of SaO2 from pulse oximetric recording could be useful in the study of OSA
Object-oriented load flow modeling and implementation for distribution power systems

This This paper presents a new open source algorithm based on object-oriented technique to obtain load flow solution in radially operated distribution networks, in which the decision can chose among three load models: constant impedance, constant power and constant current. The object-oriented technique is chosen due to it's simplicity and easy to program. The implementation of the backward / forward algorithm to solve a distribution load flow the was tested on the IEEE 34 bus system and its simplicity, flexibility and quickness was analyzed.
Multi-resolution modeling of variable speed six-phase synchronous generator with regulated 400 Hz AC system

High-pulse line-commutated rectifiers are utilized in many high-power applications. Specifically, twelve-pulse rectifiers fed with six-phase synchronous generators are very popular in marine and aircraft power systems with variable frequency operation. Using numerically efficient averaged models of power electronics converters considerably saves simulation time when a large number of switching converters is used. Herein, a multi-resolution simulation methodology is presented and its application in efficient simulation of a twelve-pulse rectifier and an inverter system is demonstrated. The user can select the simulation resolution (level of details) for each components of the system, as desired. Superior performance of different switching-reduced models is demonstrated for variable frequency operation in terms of accuracy and CPU efficiency.
Full-frame compression of tomographic images using the discrete Fourier transform

The unacceptability of block artifacts in medical image data compression has led to systems employing full-frame discrete cosine transform (DCT) compression. Although the DCT is the optimum fast transform when block coding is used, it is outperformed by the discrete Fourier transform (DFT) and discrete Hartley transform for images obtained using positron emission tomography and magnetic resonance imaging. Such images are characterized by a roughly circular region of non-zero intensity bounded by a region R in which the image intensity is essentially zero. Clipping R to its minimum extent can reduce the number of low-intensity pixels, but the practical requirement that images be stored on a rectangular grid means that a significant region of zero intensity must remain an integral part of the image to be compressed. The DCT therefore loses its advantage over the DFT because neither transform introduced significant artificial discontinuities. <<ETX>>
Identiﬁcation and Characterization of an Adeno-Associated Virus Integration Site in CV-1 Cells from the African Green Monkey

Adeno-associated virus (AAV) is a classiﬁcation given to a group of nonpathogenic, single-stranded DNA viruses known to reside latently in primates. During latency in humans, AAV type 2 (AAV2) preferentially integrates at a site on chromosome 19q13.3ter by targeting a sequence composed of an AAV Rep binding element (RBE), a spacer, and a nicking site. Here, we report the DNA sequence of an African green monkey AAV integration site isolated from CV-1 cells. Overall, it has 98% homology to the analogous human site, including identical spacer and nicking sequences. However, the simian RBE is expanded, having ﬁve perfect directly repeated GAGC tetramers. We carried out a number of in vitro and in vivo assays to determine the effect of this expanded RBE sequence on the Rep-RBE interaction and AAV targeted integration. Using electromobility shift assays it was demonstrated that AAV4 Rep68 bound the expanded RBE with a sixfold-greater afﬁnity than the human RBE. To determine the basis for the afﬁnity increase, DNase I protection and methylation interference (MI) assays were performed. Comparison of footprints on both the human and simian RBEs revealed nearly identical protection; however, MI analysis suggested greater interaction with the guanine nucleotides of the expanded RBE, thus providing a biochemical
Scalable effort hardware design: Exploiting algorithmic resilience for energy efficiency

Algorithms from several interesting application domains exhibit the property of inherent resilience to “errors” from extrinsic or intrinsic sources, offering entirely new avenues for performance and power optimization by relaxing the conventional requirement of exact (numerical or Boolean) equivalence between the specification and hardware implementation. We propose scalable effort hardware design as an approach to tap the reservoir of algorithmic resilience and translate it into highly efficient hardware implementations. The basic tenet of the scalable effort design approach is to identify mechanisms at each level of design abstraction (circuit, architecture and algorithm) that can be used to vary the computational effort expended towards generation of the correct (exact) result, and expose them as control knobs in the implementation. These scaling mechanisms can be utilized to achieve improved energy efficiency while maintaining an acceptable (and often, near identical) level of quality of the overall result. A second major tenet of the scalable effort design approach is that fully exploiting the potential of algorithmic resilience requires synergistic cross-layer optimization of scaling mechanisms identified at different levels of design abstraction. We have implemented an energy-efficient SVM classification chip based on the proposed scalable effort design approach. We present results from post-layout simulations and demonstrate that scalable effort hardware can achieve large energy reductions (1.2X-2.2X with no impact on classification accuracy, and 2.2X-4.1X with modest reductions in accuracy) across various sets. Our results also establish that cross-layer optimization leads to much improved energy vs. quality tradeoffs compared to each of the individual techniques.
Modeling and editing flows using advected radial basis functions

Fluid simulations are notoriously difficult to predict and control. As a result, authoring fluid flows often involves a tedious trial and error process. There is to date no convenient way of editing a fluid after it has been simulated. In particular, the Eulerian approach to fluid simulation is not suitable for flow editing since it does not provide a convenient spatio-temporal parameterization of the simulated flows. In this research, we develop a new technique to learn such parameterization. This technique is based on a new representation, the <i>Advected Radial Basis Function</i>. It is a time-varying kernel that models the local properties of the fluid. We describe this representation and demonstrate its use for interactive three-dimensional flow editing.
Uncovering multiscale effects of aridity and biotic interactions on the functional structure of Mediterranean shrublands

Habitat filtering (HF, trait convergence) and niche differentiation (ND, trait divergence) are known to impact upon plant community structure. Both processes integrate individual responses to the abiotic environment and biotic interactions. Thus, it is difficult to clearly identify the underlying abiotic and biotic factors that ultimately impact community structure by looking at community‐level patterns of trait divergence or convergence alone. We used a functional trait‐based and multiscale approach to assess how biotic interactions and aridity determine the functional structure of semi‐arid shrublands sampled along a large aridity gradient in Spain. At the regional scale, we investigated functional differences among species (axes of specialization) to identify important traits for community assembly. At the community scale, we evaluated the relative impact of HF and ND on community structure using a null model approach. Finally, at the plant neighbourhood scale, we evaluated the impact of biotic interactions on community structure by investigating the spatial patterns of trait aggregation. The shrub species surveyed can be separated along four axes of specialization based on their above‐ground architecture and leaf morphology. Our community scale analysis suggested that the functional structure of semi‐arid communities was clearly non‐random, HF and ND acting independently on different traits to determine community structure along the aridity gradient. At the plant neighbourhood scale, the spatial distribution of species was also clearly not random, suggesting that competition and facilitation impacted on the observed changes in the functional diversity of shrubland communities along the aridity gradient. Synthesis: Our results demonstrated that HF and ND acted simultaneously on independent traits to jointly determine community structure. Most importantly, our multiscale approach suggested that competition and facilitation interplayed with aridity to determine this structure. Competition appeared to be constant along the aridity gradient and explained the high functional diversity observed in semi‐arid shrublands. Facilitation affected subordinate and rare species and, thus, may act to enhance the biodiversity of these ecosystems. Finally, the framework employed in our study allows moving forward from the examination of patterns to the development of mechanistic trait‐based approaches to study plant community assembly.
Draft Genome Sequences of Devosia sp. Strain 17-2-E-8 and Devosia riboflavina Strain IFO13584

ABSTRACT Here we report the draft genome of Devosia sp. strain 17-2-E-8, isolated from Ontario agricultural soil (Canada) with promising deoxynivalenol biotransformation capabilities. In addition, we report the draft genome of Devosia riboflavina strain IFO13584, used as a control strain in our studies aimed at highlighting unique gene clusters involved in deoxynivalenol epimerization.
Job Gains and Job Losses: Recent Literature and Trends

This paper reviews recent literature on job gains and job losses. Economies exhibit high rates of gross job reallocation - both high levels of job gains and job losses. For the OECD nations for which data are available, total turnover averaged more than twenty per cent during the 1980s. This is a result of differing behaviour of establishments (firms) in the face of similar general economic conditions.Two streams have developed in the literature in attempting to characterize the influence of structural change on job turnover. The first sees structural turnover as continuous, and emphasizes the importance of establishment openings as the primary means through which more significant changes in an economy occur. An alternative view emphasizes the concentration of job losses stemming from structural change in cyclical downturns. The timing and pace of structural change can have an important influence on labour market policies.The behaviour of the four components of job turnover over . Gains et pertes d'emplois : Ouvrages recents et tendances L’auteur presente un tour d’horizon des ouvrages recents qui traitent des gains et pertes d’emplois. Les economies enregistrent des taux eleves de redeploiement brut des emplois -- autrement dit des taux eleves de gains et de pertes d’emplois. Dans les pays de l’OCDE pour lesquels on dispose de donnees, le taux global de rotation des emplois s’est etabli en moyenne a plus de 20 pour cent durant les annees 80. En effet, les etablissements (ou entreprises) reagissent differemment face a une situation economique similaire.Deux courants de pensee se sont developpes parmi les auteurs qui ont tente de caracteriser l’influence des mutations structurelles sur la rotation des emplois. Selon le premier, la rotation structurelle des emplois est un processus continu et les creations d’etablissements sont le principal moyen de diffusion de changements significatifs dans une economie. Le second courant de pensee veut que les pertes d’emplois imputables aux changements structurels se produisent .
3-Connected Cores In Random Planar Graphs

The study of the structural properties of large random planar graphs has become in recent years a field of intense research in computer science and discrete mathematics. Nowadays, a random planar graph is an important and challenging model for evaluating methods that are developed to study properties of random graphs from classes with structural side constraints. In this paper we focus on the structure of random 2-connected planar graphs regarding the sizes of their 3-connected building blocks, which we call cores. In fact, we prove a general theorem regarding random biconnected graphs from various classes. If Bn is a graph drawn uniformly at random from a suitable class of labelled biconnected graphs, then we show that with probability 1 − o(1) as n → ∞, Bn belongs to exactly one of the following categories: (i) either there is a unique giant core in Bn, that is, there is a 0 < c = c() < 1 such that the largest core contains ~ cn vertices, and every other core contains at most nα vertices, where 0 < α = α() < 1;(ii) or all cores of Bn contain O(logn) vertices. Moreover, we find the critical condition that determines the category to which Bn belongs, and also provide sharp concentration results for the counts of cores of all sizes between 1 and n. As a corollary, we obtain that a random biconnected planar graph belongs to category (i), where in particular c = 0.765. and α = 2/3.
Strongly Localized Evanescent Optical Tamm States at Metal-DBR Interface

We study the eigenmodes of optical Tamm states (OTSs) at metal-distributed Bragg reflector interface. A peculiar type of non-propagating OTSs, named as evanescent OTSs, is found with mode propagation constant exhibiting the imaginary part to be much larger than the real part. The existence of such evanescent OTSs is attributed to the extension of Bragg forbidden band under complex propagation constants. An analytical solution of the evanescent OTSs is derived. Compared with propagating OTSs, transverse magnetic-polarized evanescent OTSs are found to exhibit more strongly localized field distributions associated with enhanced surface field intensity, which may be beneficial for surface-related applications such as sensing. Potential application as modulators is also demonstrated by using the nearly vertical dispersion characteristics around the transition wavelength between propagating OTSs and evanescent OTSs.
SPARTAN: Speculative avoidance of register allocations to transient values for performance and energy efficiency

High-performance microprocessors use large, heavily-ported physical register files (RFs) to increase the instruction throughput. The high complexity and power dissipation of such RFs mainly stem from the need to maintain each and every result for a large number of cycles after the result generation. We observed that a significant fraction (about 45%) of the result values are never read from the register file and are not required to recover from branch mispredictions. In this paper, we propose SPARTAN — a set of micro-architectural extensions that predicts such transient values and in many cases completely avoids physical register allocations to them. We show that the transient values can be predicted as such with more than 97% accuracy on the average across simulated SPEC 2000 benchmarks. We evaluate the performance of SPARTAN on a variety of configurations and show that significant improvements in performance and energy-efficiency can be realized. Furthermore, we directly compare SPARTAN against a number of previously proposed schemes for register optimizations and show that our technique significantly outperforms all those schemes.
Service Composition Modeling: A Case Study

In the last years the innovation in technologies such as XML, Web services and component-based development has motivated the interest in business processes. For this reason various languages for design and implementation of business processes such as Business Process Execution Language for Web services (BPEL) have arisen. However, a weakness of these languages is the difficulty to be used by business analysts in the early stages of the development process. In this work we present, through a case study, a model-driven process for the service composition modeling. The process begins with the identification of the services that will be offered to the user, taken into account the system requirements; and allows to obtain a service composition model. From this model it is possible the mapping to a specific Web services composition language
Harmonic expectancy violations elicit not-just-right-experiences: A paradigm for investigating obsessive-compulsive characteristics?

Obsessive-compulsive disorder (OCD)-like symptoms are commonly associated with sensations of incompleteness and not-just-right experiences (NJRE). Although NJRE have gained much attention in recent years, most studies have not gone beyond a description of their phenomenology and prevalence also in healthy adults. We applied a validated harmonic expectancy violation paradigm to experimentally investigate NJRE evoked by deviant auditory perceptions. We assessed reaction times (RT) to harmonic and disharmonic chord sequences as well as their emotional appraisal in 64 healthy young adults. The participants clearly indicated disharmonic chord sequences as sounding not-just-right and incomplete and rated them as unpleasant, arousing, and irritating. The RT to disharmonic chord sequences was significantly shorter than the RT to harmonic chord sequences. This effect tended to be greater in those participants who reported stronger general experiences of incompleteness as an underlying core dimension of OCD-like symptoms. In addition, general experience of incompleteness was correlated to the difference between RT to harmonic and that to disharmonic chord sequences, indicating that the intensity of general experience of incompleteness was associated with a more readily activated processing of the deviant auditory perceptions.