Miracle-dz/UniFAR-FTUs huggingface dataset:
Research on Text Orientation Classification Based on Support Vector Machine

Text orientation classification can be widely applied to information retrieval,product online tracking,diagnoses of public opinions and chat systems.Two kinds of hybrid feature selecting methods based on words with restricted part of speech and information gain,and sentiment words and information gain are proposed respectively.A classifier based on support vector machine is designed for text orientation classification.As the training and testing data,review texts about car products,basketball games and Sino-Japanese relationship are used to validate the methods.The results indicate that the hybrid feature selecting method based on words with restricted part of speech and information gain is superior to the another method when the classifier is based on support vector machine.
Applications of Social Network Analysis for User Modeling

This position paper makes the case for the use of social network analysis for user modeling in social media. It argues that a network perspective, in combination with more traditional approaches for user modeling, can allow the creation of more effective user models. Towards this end, we outline two ongoing studies that utilize social network analysis techniques for improving understanding of user behavior in social media, with the goal of instigating discussion in the workshop.
Effects of strain on electronic and optical properties of LiNbO3: a first principles study

The exchange-correlation functions of local density approximation and generalized gradient approximation using density functional theory were performed to calculate electronic and optical properties of lithium niobate crystal. To correct the underestimated value of band gap, a reverse scissor correction procedure was performed based on the experimental refractive index value because it is more suitable for compound with polar crystal. It is found that underestimated electronic band gap ∼4.76 eV was generated due to nature of generalized gradient approximation (GGA) exchange correlation. Based on density of states calculation, Li ion tends to diffuse into substrate as it possesses pure ionic character. Thus, the chemical bonding in LiNbO3 crystal has a mixed covalent-ionic character. The effect of strain on a-axis of the crystal and thus, its electronic and optical properties were investigated. The a-axis of the crystal is more sensitive towards the strain compared to c-axis as the band gap largely changes upon the applied strain. The optical properties such as dielectric function, refractive index, extinction coefficient, and absorption were calculated and explained in detail. The positive and negative strains do shift the optical spectrum either to higher or lower frequency depending on specific properties. These results would assist to provide the fundamental explanation about the effect of strain on the properties of lithium niobate crystal.
Searching for vector bileptons in polarized Bhabha scattering

In this paper we analyze the effects of virtual vector bileptons in polarized Bhabha scattering at the energies of the future linear colliders. In order to make the calculations of the differential cross sections more realistic, important beam effects such as initial state radiation, beamstrahlung, beam energy and polarization spreads are accounted for. The finite resolution of a typical electromagnetic calorimeter planned for the new linear colliders is also considered in the simulation. The 95% confidence level limits for bilepton masses in 331 models are evaluated.
Underlying Theories of Sustainable Purchasing and Supply Research : IMP and the Sustainability Agenda – a Missing Link ?

This paper discusses the underlying theories of sustainable purchasing and supply research with a focus on evaluating and comparing IMP theory with the theories that most often underpin this body of research, such as stakeholder and institutional theory. Building on a systematic literature review we address the questions: 1) what are the dominant theories used to underpin and guide sustainable purchasing and supply management research and 2) could IMP theory provide a useful theoretical lens to better understand sustainable purchasing and supply management phenomena? The methodology employed is an extensive systematic literature review (Tranfield et al, 2003) focused on selected high quality journal papers. A systematic search process is used to identify over 1500 papers that are gradually reduced through a filtering process to 212 papers. The theoretical perspectives of each paper is identified and recorded in a database along with methodology, level of analysis and reported findings. We find that a significant proportion of sustainable purchasing and supply management papers adopt, stakeholder theory, institutional theory and resource-based perspectives, however, relatively few papers rely on IMP theoretical perspective. We evaluate the rationale for the typical theoretical perspectives adopted and discuss the potential for IMP theory to underpin studies of sustainable purchasing and supply management and argue that IMP studies need to engage fully with this emerging research. The paper concludes by outlining specific future avenues of research that specify how IMP theory can underpin and further advance sustainable purchasing and supply research.
Nanoparticle diffusion in sheared cellular blood flow

Using a multiscale blood flow solver, the complete diffusion tensor of nanoparticles (NPs) in sheared cellular blood flow is calculated over a wide range of shear rate and haematocrit. In the short-time regime, NPs exhibit anomalous dispersive behaviors under high shear and high haematocrit due to the transient elongation and alignment of the red blood cells (RBCs). In the long-time regime, the NP diffusion tensor features high anisotropy. Particularly, there exists a critical shear rate ( ${\sim}100~\text{s}^{-1}$ ) around which the shear-rate dependence of the diffusivity tensor changes from linear to nonlinear scale. Above the critical shear rate, the cross-stream diffusivity terms vary sublinearly with shear rate, while the longitudinal term varies superlinearly. The dependence on haematocrit is linear in general except at high shear rates, where a sublinear scale is found for the vorticity term and a quadratic scale for the longitudinal term. Through analysis of the suspension microstructure and numerical experiments, the nonlinear haemorheological dependence of the NP diffusion tensor is attributed to the streamwise elongation and cross-stream contraction of RBCs under high shear, quantified by a capillary number. The RBC size is shown to be the characteristic length scale affecting the RBC-enhanced shear-induced diffusion (RESID), while the NP submicrometre size exhibits negligible influence on the RESID. Based on the observed scaling behaviours, empirical correlations are proposed to bridge the NP diffusion tensor to specific shear rate and haematocrit. The characterized NP diffusion tensor provides a constitutive relation that can lead to more effective continuum models to tackle large-scale NP biotransport applications.
Cycle-Consistent Adversarial GAN: the integration of adversarial attack and defense

In image classification of deep learning, adversarial examples where input is intended to add small magnitude perturbations may mislead deep neural networks (DNNs) to incorrect results, which means DNNs are vulnerable to them. Different attack and defense strategies have been proposed to better research the mechanism of deep learning. However, those researches in these networks are only for one aspect, either an attack or a defense. There is in the improvement of offensive and defensive performance, and it is difficult to promote each other in the same framework. In this paper, we propose Cycle-Consistent Adversarial GAN (CycleAdvGAN) to generate adversarial examples, which can learn and approximate the distribution of the original instances and adversarial examples, especially promoting attackers and defenders to confront each other and improve their ability. For CycleAdvGAN, once the GeneratorA and D are trained, GA can generate adversarial perturbations efﬁciently for any instance, improving the performance of the existing attack methods, and GD can generate recovery adversarial examples to clean instances, defending against existing attack methods. We apply CycleAdvGAN under semiwhite-box and black-box settings on two public datasets MNIST and CIFAR10. Using the extensive experiments, we show that our method has achieved the state-of-the-art adversarial attack method and also has efficiently improved the defense ability, which made the integration of adversarial attack and defense come true. In addition, it has improved the attack effect only trained on the adversarial dataset generated by any kind of adversarial attack.
Template fitting of WMAP 7‐year data: anomalous dust or flattening synchrotron emission?

Anomalous microwave emission at 20-40 GHz has been detected across our Galactic sky. It is highly correlated with thermal dust emission and hence it is thought to be due to spinning dust grains. Alternatively, this emission could be due to synchrotron radiation with a flattening (hard) spectral index. We cross-correlate synchrotron, free-free and thermal dust templates with the Wilkinson Microwave Anisotropy Probe (WMAP) 7-year maps using synchrotron templates at both 408 MHz and 2.3 GHz to assess the amount of flat synchrotron emission that is present, and the impact that this has on the correlations with the other components. We find that there is only a small amount of flattening visible in the synchrotron spectral indices by 2.3 GHz, of around ? �? �� 0.05, and that the significant level of dust-correlated emission in the lowest WMAP bands is largely unaffected by the choice of synchrotron template, particularly at high latitudes (it decreases by only ��7 per cent when using 2.3 GHz rather than 408 MHz). This agrees with expectation if the bulk of the anomalous emission is generated by spinning dust grains.
A Microfluidics Laboratory Teaching Module

We have developed a teaching module to engage undergraduate engineering students in an introductory research project. Pairs of students proposed and carried out self-designed projects to study diffusion in microfluidic channels. These channels create laminar flow regimes where dissimilar fluids flow side-by-side and mix through diffusion. Custom-built hardware and software allowed students to make quantitative measurements of diffusion. Draft reports structured as scientific papers were reviewed by technical staff, writing staff, and peers. Students used these reviews to revise their reports and make additional measurements as needed. Grades were based on the quality of the final report, with emphasis on students’ documentation of the research process. Student feedback verified that the lab project improved understanding of course material, demonstrated the importance of technical writing in the scientific process, and emphasized the value of teamwork. The lab has been adopted in multiple courses at both MIT and Yale to teach molecular transport, microfabrication, and other topics. All information needed to recreate the lab is freely available online.
Distribution regression in duration analysis: an application to unemployment spells

This article proposes inference procedures for distribution regression models in duration analysis using randomly right-censored data. This generalizes classical duration models by allowing situations where explanatory variables’ marginal effects freely vary with duration time. The article discusses applications to testing uniform restrictions on the varying coefficients, inferences on average marginal effects, and others involving conditional distribution estimates. Finite sample properties of the proposed method are studied by means of Monte Carlo experiments. Finally, we apply our proposal to study the effects of unemployment benefits on unemployment duration.
The η–inverted ℝ–motivic sphere

We use an Adams spectral sequence to calculate the R-motivic stable homotopy groups after inverting eta. The first step is to apply a Bockstein spectral sequence in order to obtain h_1-inverted R-motivic Ext groups, which serve as the input to the eta-inverted R-motivic Adams spectral sequence. The second step is to analyze Adams differentials. The final answer is that the Milnor-Witt (4k-1)-stem has order 2^{u+1}, where u is the 2-adic valuation of 4k. This answer is reminiscent of the classical image of J. We also explore some of the Toda bracket structure of the eta-inverted R-motivic stable homotopy groups.
01 A Survey of Timing Verification Techniques for Multi-Core Real-Time Systems

This survey provides an overview of the scientific literature on timing verification techniques for multi-core real-time systems. It reviews the key results in the field from its origins around 2006 to the latest research published up to the end of 2018. The survey highlights the key issues involved in providing guarantees of timing correctness for multi-core systems. A detailed review is provided covering four main categories: full integration, temporal isolation, integrating interference effects into schedulability analysis, and mapping and allocation. The survey concludes with a discussion of the advantages and disadvantages of these different approaches, identifying open issues, key challenges, and possible directions for future research.
HEURISTICS BASED MULTI QUEUE JOB SCHEDULING FOR CLOUD COMPUTING ENVIRONMENT

With the influx of large number of users, delivering the services to them and to meet their quality requirements is still challenging. Cloud computing is built upon the advancements of virtualization technology and distributed computing. Cloud computing itself is a grid computing with additional property of elasticity and scalability. Since cloud usually contains a heterogeneous pool of resources, scheduling plays a vital role in cloud computing. Scheduling in cloud computing denotes the execution of current jobs in a given constraint. QoS is inevitably needed to deal with scheduling in cloud computing environment. Efficient scheduling mechanism should meet the QoS parameters and should enhance resource utilization. Traditional scheduling algorithms such as FCFS, SJF, EASY, round robin and backfilling possesses fragmentation problem. The proposed heuristics based multi queue job scheduling method overcomes the problem of fragmentation by providing an on-demand strategy for scheduling. On-demand service provided by introducing priority. Priority is a comprehensive concept, computed based on QoS parameters. The proposed system, by considering the priority concept reduces the problem of fragmentation and also overcomes "starving to death" problem in scheduling. The proposed method thus can efficiently executes the user requirements and can manifest better performance.
The Effect of Drop Jump Height on Post- Activation Potentiation as Measured by Vertical Jump Performance

Post-activation potentiation (PAP) is an enhanced contractile response within the muscles due to prior voluntary activation. The optimal combination of volume, intensity, and rest that results in the greatest performance improvement when using PAP inducing exercises during a warm-up has yet to be determined. Purpose: The purpose of this study was to compare the effects of two different drop jump heights on PAP as measured by subsequent vertical jump performance. Methods: 76 male and female NAIA collegiate athletes (19.9±0.2yrs) completed three different testing session protocols. During the first session, the participants performed a pre-treatment vertical jump test and were familiarized with drop jumps. The second and final testing sessions included five drop jumps with rebound from an 18 or 30-inch box followed by a post-treatment vertical jump test. A repeated measures ANOVA was performed in order to examine differences in vertical jump height attained with no drop jump warm up, an 18-inch drop jump warm up, and a 30-inch drop jump warm up. Result: The mean pre-treatment vertical jump was 58.1±1.8cm while the 18-inch treatment mean was 55.2±1.5cm and the 30-inch treatment mean were 55.6±21.5cm. A repeated-measures ANOVA comparing the vertical jump after the varying drop jump heights showed both treatment conditions to have significantly decreased vertical jump height. Conclusion: Neither of the drop jump treatments were found to significantly improve vertical jump performance when compared to the pre-treatment vertical jump heights.
Fast Extraction of Edge Histogram in DCT Domain based on MPEG-7

In these days, multimedia data is transmitted and processed in compressed format. Due to the decoding procedure and filtering for edge detection, the feature extraction process of MPEG-7 Edge Histogram Descriptor (EHD) is time consuming as well as computationally expensive. To improve efficiency of compressed image retrieval, we propose a new edge histogram generation algorithm in DCT domain in this paper. Using the edge information provided by the only two AC coefficients of DCT coefficients, we can get edge directions and strengths directly in DCT domain. The experimental results demonstrate that our system has good performance in terms of retrieval efficiency and effectiveness.
Few‐layer graphene coated on indium tin oxide electrodes prepared by chemical vapor deposition and their enhanced glucose electrooxidation activity

At present, few‐layer graphene is deposited on copper (Cu) foil by chemical vapor deposition (CVD) method. Then, the few‐layer graphenes produced on the Cu foil are coated onto the indium tin oxide (ITO) electrode to investigate their glucose electrooxidation activities. Hexane and hydrogen flow rate and deposition time parameters with CVD method are examined on different Cu foils. These electrodes are characterized by scanning electron microscopy‐energy dispersive X‐ray analysis (SEM‐EDX), X‐ray photoelectron spectroscopy (XPS), and Raman spectroscopy. Furthermore, glucose electrooxidation is examined with cyclic voltammetry (CV), chronoamperometry (CA), and electrochemical impedance spectroscopy (EIS) measurements. One could note that the graphene network is clearly visible from SEM images. The deconvoluted XPS spectrum indicates that carbon appeared in the form of non‐oxygenated ring C atoms for few‐layer graphene. The few‐layer graphene structure is confirmed by Raman analysis. Few‐layer graphene/ITO produced at 5 sccm Hexane and 50 sccm hydrogen flow rate and 20 minutes deposition time (G7/ITO) reveals the best electrode activity. The specific activity of G7/ITO electrode is obtained as 6.58 mA cm−2. According to CV, CA, and EIS results, G7/ITO electrode has high electrocatalytic activity, stability, and resistance in comparison with other electrodes.
Antibacterial , anti-inflammatory , and anti-osteoclastogenesis roles of allicin in periodontitis

Periodontitis is an infectious inflammatory immune disease. Allicin, because of its antibacterial, antiinflammatory and immunomodulation properties, appears to be a promising drug for treating periodontitis. In this study, the antimicrobial activity of allicin against Porphyromonas gingivalis (P. gingivalis) and its effects on inflammatory cytokine expression in experimental periodontitis and osteoclast activity in vitro were investigated. Allicin inhibited P. gingivalis growth, with a minimal inhibitory concentration (MIC) and minimal bactericidal concentration (MBC) of 4 mg/l and 8 mg/l, respectively. Allicin showed inhibitory effects on P. gingivalis biofilm formation, with a minimum biofilm inhibition concentration (MBIC50/MBIC90) of 4 mg/l and 16 mg/l, respectively, and affected the viability of 1-day-old biofilms with a minimum biofilm reduction concentration (MBRC50) of 32 mg/l. Confocal laser scanning microscopy (CSLM) revealed that treatment with 32 mg/l allicin resulted in a lower bacteria number, fewer live bacteria, and a thinner biofilm. In gingivomucosal tissues around first right molar teeth undergoing ligatureinduced periodontitis, allicin substantially inhibited periodontal destructive cytokines, including TNF-α, IL-1β, IL-6, INF-γ, and IL-12, but promoted protective cytokines such as IL-4 and IL-10. By affecting the cytokine framework and the secretion of M-CSF and RNAKL from osteoblasts, allicin suppressed osteoclastogenesis by modulating the RANK-RANKL system, as demonstrated by a decrease in NF-ĸB p65 levels. These results suggested that allicin is a potential natural product for treating periodontitis.
Classification of Incident-related Tweets : Tackling Imbalanced Training Data using Hybrid CNNs and Translation-based Data Augmentation

In this paper, we present our four approaches submitted to the 2018 Text REtrieval Conference (TREC) Incident Streams (IS) track. One of the main challenges in this track is the lack of training data for certain classes defined in the ontology. We therefore take measures to expand the provided data; in a first step, additional tweets are manually selected from CrisisLexT26 and EMTerms for all underrepresented classes, ensuring a minimum number of 50 tweets per class. Using this expanded data, we train four models. The first is a baseline model that uses a logistic regression classifier on word statistics. The second is a state-of-the-art CNN which considers different frame widths on pre-trained word embeddings. This model is then extended with two identical CNN branches trained on the CrisisLexT26 and CrisisNLP data sets, and a posterior fusion network (third approach). Since all of these models still suffer from a lack of training data, more training examples are generated through a data augmentation technique using automatic round-trip translation. The fourth presented approach is identical to the third one, but is trained on this augmented data set. Finally, we describe our importance ranking procedure for tweets. Our method is implemented by weighting the average importance of the detected class and the tweet’s relevance obtained with a classifier trained on the CrisisLexT26 data set.
Analog and Mixed-Signal Test

HAL is a multi-disciplinary open access archive for the deposit and dissemination of scientific research documents, whether they are published or not. The documents may come from teaching and research institutions in France or abroad, or from public or private research centers. L’archive ouverte pluridisciplinaire HAL, est destinée au dépôt et à la diffusion de documents scientifiques de niveau recherche, publiés ou non, émanant des établissements d’enseignement et de recherche français ou étrangers, des laboratoires publics ou privés. Analog and Mixed-Signal Test Haralampos-G. Stratigopoulos, Bozena Kaminska