Miracle-dz/UniFAR-FTUs huggingface dataset:
Improving co-running program’s performance on CMP

Chip multi-processor (CMP) has become the most common processor in the current cluster and desktop computer, and it is also the current development direction. On CMP, programs usually co-running with each other. However, programs commonly interfere with each other. Some time the interference takes big effect, which cause serious drop down of performance. In order to avoid the serious performance interference, programs should be scheduled reasonably to different socket to improve the program’s performance and system’s utilization. In this paper we propose a new scheduling method to realize a more reasonable scheduling. We do not only consider the LLC miss rate, but also consider the LLC reference of the programs. By the information of LLC reference and LLC miss rate, we schedule programs to different sockets, which realize a reasonable scheduling. The experiment result show that making use of the scheduling method proposed by our paper, program’s performance can improve 4%, because the performance improve is realized by on-chip resource, which is a big contribution.
Foreing Banks Entry and Bank Performance in the CEE Countries

Цель статьи – эмпирически оценить краткосрочные эффекты проникновения иностранных банков и банковскую деятельность в странах Центральной и Восточной Европы. Для нашего анализа мы взяли 319 банков в десяти странах (Болгария, Хорватия, Чехия, Эстония, Венгрия, Латвия, Литва, Польша, Словения, Словакия). Результаты исследования показывают, что проникновение зарубежных банков имеет негативное воздействие на доходы местных банков. Проникновение зарубежных банков может также увеличить косвенные расходы местных банков. Общее заключение таково, что проникновение иностранных банков повышает конкуренцию в стране в краткосрочном периоде.
Students' expectations of the learning process in virtual reality and simulation-based learning environments

Expectations for simulations in healthcare education are high; however, little is known about healthcare students' expectations of the learning process in virtual reality (VR) and simulation-based learning environments (SBLEs). This research aims to describe first-year healthcare students' (N=97) expectations regarding teaching, studying, and learning in such environments. In addition, it measures students' expectations of instructors, their academic self-perception, and atmosphere, as well as whether there are differences between the expectations of adult and young students. Data was collected through a questionnaire from two different universities of applied sciences in Finland in spring 2009, and analysed using statistical and qualitative methods. Overall, students have quite high expectations of the activities that take place in VR and SBLEs. Adult learners in particular seem to have high expectations compared to younger students.
Modelling and Control of Ionic Electroactive Polymer Actuators under Varying Humidity Conditions

In this work, we address the problem of position control of ionic electroactive polymer soft actuators under varying relative humidity conditions. The impact of humidity on the actuation performance of ionic actuators is studied through frequency response and impedance spectroscopy analysis. Considering the uncertain performance of the actuator under varying humidity conditions, an adaptable model using the neural network method is developed. The model uses relative humidity magnitude as one of the model parameters, making it robust to different environmental conditions. Utilizing the model, a closed-loop controller based on the model predictive controller is developed for position control of the actuator. The developed model and controller are experimentally verified and found to be capable of predicting and controlling the actuators with excellent tracking accuracy under relative humidity conditions varying in the range of 10–90%.
Relationship between general attitude towards nature, religion, custom, science and technological progressand attitude towards modern biotechnology

Modern biotechnology has been classified as a complex emerging issue that exhibits high salience combined with limited knowledge on part of the public. It has been suggested by social scientists that any complex object may be located in a variety of general classes where its evaluation may be strongly affected by extraneous concerns. The purpose of this paper is to analyse the relationship between several general classes of attitudes and attitude towards genetically modified soybean as an example of modern biotechnology product available in Malaysia. A survey was carried out on 991 respondents from various interest groups in the Klang Valley region. Results of the survey have confirmed that attitude towards complex issues such as biotechnology should be seen as a multi-faceted/multidimensional process. The most important factors predicting encouragement of GM soybean are the specific application-linked perceptions about the benefits, acceptance of risk and moral concern while risk and familiarity are significant predictors of benefit and risk acceptance. Attitude towards GM soybean is also predicted by several general classes of attitude such as general promise and concern of biotechnology, technology optimism, nature/materialistic value, predisposition towards science and technology, attachment to religion and custom. Researchers, policy-makers and industries interested in developing and marketing GM products in Malaysia should consider the various factors mentioned in this study in order to gain public approval
Tweet your vote. How content analysis of social network can improve our knowledge of citizens’ policy preferences. An application to Italy and France

The growing usage of internet and social media by a wider audience of citizens sharply increases the possibility to investigate the web as a device to explore and track their (policy) preferences and judgements. In the present paper we apply the recent method proposed by Hopkins and King (2010) to three very different scenarios, by tracking on one side the on-line popularity of Italian political leaders throughout 2011, and on the other the voting intention of French internet-users in both the 2012 Presidential ballot and in the subsequent Legislative election. The variety of contexts so analyzed has been deliberately pursued to better investigate the strength and the limits of monitoring social networks, as well as to assess which factors can increase (or decrease) their reliability. Despite internet users are not necessarily representative of the whole population of country’s citizens, our analysis shows a remarkable ability of social-media to forecast electoral results as well as a consistent correlation between social-media results and the ones we obtain from more traditional mass surveys. Still, sentiment analysis of social network seems to provide more accurate predictions when focusing on the most popular leaders or on ‘mainstream’ parties, while both traditional surveys as well as social networks analyses methods appear to be affected, at least in part, by the same sources of bias, like the strategic behavior and the spiral of silence. Finally, the possibility of an ‘information overload’ arises as a further factor affecting negatively the analysis of social-media.
Numerical Modelling of Troposferic Ozone in Catalunya

The aim of this paper is to evaluate the ability of two different modelling systems to simulate high values of ozone concentration in typical summer episodes which take place in Catalonia, located in the north-east part of Spain. The first model, or forecasting system, is a box model made up of three modules. The first module is a mesoscale model (MASS), which provides the initial condition for the second module, a non-local boundary layer model based on the transilient turbulence scheme. The third module is a photochemical box model (OZIPR), which is applied in Eulerian and Lagrangian modes receiving suitable information from the two previous modules. The model forecast is applied to different areas of Catalonia and evaluated during the springs and summers of 2003 and 2004 against ground base stations. The second model is MM5/UAM-V, a grid model designed to predict the hourly three-dimensional ozone concentration fields. The model is applied during an ozone episode occurred between 21 and 23 June 2001 at only one area, which is characterized by complex topography and a peculiar meteorological condition favouring high ozone concentration values. Evaluation results and model comparison for this specific episode show a good performance of the two modelling systems.
Detection of Salt Tolerant Rice Genotypes at the Seedling Stage Using Molecular Markers: A Genotypic Analysis

Selection of salinity tolerant genotypes of rice based on the phenotypic variation is not consistent and thereby, will hinder the advancement in breeding. However, the recent introduction of the use of molecular markers, microsatellites or simple sequence repeats (SSRs) to detect the salt tolerant rice genotypes is reliable. The objective of the present study was to screen the four indigenous rice genotypes collected at Coastal Saline Research Centre, Ramanathapuram, Tamil Nadu, India, for the identification of salt tolerant genotypes at the seedling and reproductive stage under saline and non-saline conditions using the microsatellite markers. Two selected SSR markers were used to determine salinity tolerance in rice genotypes. SSR based marker identified three genotypes as tolerant at least tolerant to one of the two SOS markers but one variety was susceptible for both the markers. The detected salt tolerant genotypes can be a probable germplam resource for prospective breeding program.
A realistic evaluation of fines for hospital discharges: Incorporating the history of programme evaluations in the analysis

Programmes and policies transform over time and locations. Evaluation projects can apprehend only temporal and contextualized sections of the social world. This article uses a realist evaluation of financial incentives in English hospital discharge policy to illustrate how previous evaluations of the same programme theory were inspected for evidence to construct context, mechanisms and outcomes. Following the discharges of a reduced number of patients with a case study approach, the preliminary programme theory (‘fines reduce delays’) was modified into a redefined theory on how fines operate locally in practice. This identified other mechanisms contemporaneous to the fines which are more or as likely to reduce delays. This article aims to contribute to the development of the realist evaluation strategy by introducing programme’s transformations as key evidence when trying to understand how complex interventions work in particular contexts.
Comparative study on the induction of defense related enzymes in two different cultivars of chickpea (Cicer arietinum L) genotypes by salicylic acid, spermine and Fusarium oxysporum f. sp. ciceri

Induction of some defense related enzymes and phenolics in roots and shoots of two different genotypes of chickpea cultivars which were susceptible (L550) and resistant (ICCV10) to wilt disease treated with salicylic acid, spermine (Spm), SA+Spm and Fusarium oxysporum f. sp. ciceri was investigated. Higher levels of polyphenol oxidase (PPO), phenylalanine ammonia-lyase (PAL), �-1, 3-glucanase (PR-2) and phenolics were observed in roots and shoots of resistant cultivar than that of susceptible cultivar on treatment with elicitors and pathogen. However, no major changes were observed in susceptible cultivar after the treatments. �-1, 3-glucanase is constitutively present and is further induced in roots and shoots of resistant cultivar by F. oxysporum f. sp. ciceri. No induction of �-1, 3- glucanase was observed in susceptible cultivar. The structural changes during disease progression were observed by histochemical staining. However, the pathogen invasion was more in susceptible cultivar compared with resistant cultivar. Further, the invasion was restricted in roots of resistant cultivar treated with SA. These results suggest that induction of defense proteins and accumulation of phenolics might have contributed to restrict the invasion of F.oxysporum f. sp. ciceri, in resistant cultivar ICCV10.
Parentage assignment and parental contribution analysis in large yellow croaker Larimichthys crocea using microsatellite markers

The large yellow croaker Larimichthys crocea is one of the most important fish species in China. To estimate the re- productive success of breeders, three independent full-factorial crosses were created and the fins of breeders and progenies were sampled for microsatellite analysis. Out of 959 offspring from three sets, 99.6% were assigned to their parents using 6-7 mi- crosatellite markers. In all crosses, some parent pairs produced a large number of offspring and some parent pairs did not produce any offspring. The contributions of male or female parents were unequal, ranging from 1.0-89.3% across the three sets. The loss of putative Ne was 69.6% in set 1, 31.2% in set 2 and 57.6% in set 3. These results suggest that the unequal contribution of parents is universal in artificial breeding of L. crocea, especially in a small population, and this should be taken into account in hatcheries or when releasing animals for resource enhancement (Current Zoology 58 (2): 244249, 2012).
Effects of a Songahm taekwondo tournament on vertical jump and technical-tactical performance in athletes of the Brazilian national team

Purpose. The study aimed to verify the effects of a simulated taekwondo tournament on vertical jump as well as technical and tactical performance in athletes of the Brazilian national team. Methods. The study involved 10 male Songahm taekwondo athletes. They took part in a simulated tournament in sparring modality, comprising four 2-minute fights with different opponents. Before and after each fight, the athletes performed the Sargent Jump Test and were asked to indicate the rate of the perceived exertion (rPE). In addition, the fights were recorded and some technical and tactical variables were analysed, namely the number of kicks, effectiveness, and technical variety. The analysis of variance for repeated measures with the Bonferroni post hoc test was used, with the significance level set at p < 0.05. Results. No significant differences in the jump height were observed throughout the fights ( p = 0.22, trivial effect). The rPE increased over the fights ( p < 0.01, large effect); however, no significant differences were obtained after each fight ( p > 0.05, trivial effect). All technical and tactical variables remained unchanged over the fights ( p > 0.05, trivial-to-small effect). Conclusions. The simulated taekwondo tournament had no effect on vertical jump or technical and tactical performance throughout the fights. The athletes were able to recover the effort perception before each new fight.
Electrodeposition of Cyclic Multilayer Zn-Co Films Using Square Current Pulses and Investigaions on Their Corrosion Behaviors

The cyclic multilayer alloy (CMA) coatings of Zn-Co have been developed galvanostatically on mild steel (MS), using single bath technique. Depositions were carried out using square current pulses. Corrosion behaviors of the coatings were evaluated by potentiodynamic polarization and electrochemical impedance method, supported by dielectric spectroscopy. The cyclic cathode current densities (CCCD’s) and number of layers were optimized for highest corrosion stability of the coatings. The CMA coating developed at 3.0/5.0 A/dm2, having 300 layers, represented as (Zn-Co) 3.0/5.0/300 was found to exhibit ~ 40 times better corrosion resistance compared to monolayer coating, developed from same bath for same time. Substantial improvement in the corrosion resistance of CMA coatings is attributed to layered coating, having alternatively different phase structures, evidenced by XRD study. The formation of multilayer and corrosion mechanism was analyzed using Scanning Electron Microscopy.
Staphylococci and treatment failure

Staphylococcus aureus is Gram-positive microorganism. This is implicated in human skin and soft tissue infections, blood stream infections including using device associated infective endocarditis, osteomyelitis, pneumonia, and infections involving other implanted medical devices [1], The use of penicillin, since its discovery in 1929 by Alexander Fleming in samples of S. aureus, worked well until about 1941 when they began show up isolates resistant to this antimicrobial, two years after the beginning of the industrial-producing, However, soon after the introduction of methicillin-resistant strains emerged also to this antimicrobial, calls MRSA (methicillin-resistant Staphylococcus aureus) [2]. The frequency of MRSA is high in tertiary hospitals. Studies show a frequency in tertiary hospitals that MRSA is responsible for 30–70% of infections by S. aureus, and has as its risk factors to infections by MRSA: chronic diseases, dialysis, malignancy, large exposure to antimicrobials agents, especially cephalosporin, aminoglycoside and fluoroquinolone, advanced age, insulin dependent diabetes, smoking, obesity, dermatitis and extended stay [1, 3]. The routine investigation of the main effects of MRSA inside the hospital is considered as an effective strategy in control of this microorganism; despite of being more expensive for the hospital, is a great benefit once the cost of control is lower than the treatment of infections by MRSA (Hospital-acquired Methicillin-resistant Staphylococcus aureus (HA-MRSA)) [4].
An Approach for Optimal Feature Subset Selection using a New Term Weighting Scheme and Mutual Information

With the development of the web, large numbers of documents are available on the Internet and they are growing drastically day by day. Hence automatic text categorization becomes more and more important for dealing with massive data. However the major problem of document categorization is the high dimensionality of feature space. The measures to decrease the feature dimension under not decreasing recognition effect are called the problems of feature optimum extraction or selection. Dealing with reduced relevant feature set can be more efficient and effective. The objective of feature selection is to find a subset of features that have all characteristics of the full features set. Instead Dependency among features is also important for classification. During past years, various metrics have been proposed to measure the dependency among different features. A popular approach to realize dependency is maximal relevance feature selection: selecting the features with the highest relevance to the target class. A new feature weighting scheme, we proposed have got a tremendous improvements in dimensionality reduction of the feature space. The experimental results clearly show that this integrated method works far better than the others.
Supercontinuum generation in higher order modes of photonic crystal fibre

Soliton behaviour in higher order electromagnetic (EM) modes in commercial highly nonlinear photonic crystal fibre (PCF) was investigated by mapping spatial and spectral emission. A femtosecond mode-locked Titanium:Sapphire laser was used to generate supercontinua within a set of higher-order electromagnetic modes by piezoelectric control of the spatial field input to the PCF. Coupling pump wavelengths within the normal dispersion regime for the fundamental EM mode into higher EM modes resulted in the emission of blue light, characteristic of higher order soliton fission, in higher order EM modes. Detailed spectral measurements across the spatial mode field output from the PCF, showed different spectral components of the generated continua occupying different spatial electromagnetic modes. In particular, the blue emission was found to be structured with spectral wavelengths at 440 nm and 450 nm associated with different spatial EM modes. These new measurements are the first to detail high order solitonic interactions in higher order electromagnetic modes and to record different spectral emission wavelengths associated with different higher order spatial modes. These results are not well matched to current theoretical models for supercontinuum generation developed for the fundamental EM mode. The lower zero dispersion wavelengths associated with higher EM modes in PCF enable previously undetected engagement of these modes in supercontinuum generation and propagation.
Classification Rule Discovery Using Ant-Miner Algorithm: An Application Of Network Intrusion Detection

Enormous studies on intrusion detection have widely applied data mining techniques to finding out the useful knowledge automatically from large amount of databases, while few studies have proposed classification data mining approaches. In an actual risk assessment process, the discovery of intrusion detection prediction knowledge from experts is still regarded as an important task because experts' predictions depend on their subjectivity. Traditional statistical techniques and artificial intelligence techniques are commonly used to solve this classification decision making. This paper proposes an ant-miner based data mining method for discovering network intrusion detection rules from large dataset. The obtained result of this experiment shows that clearly the ant-miner is superior than ID3, J48, ADtree, BFtree, Simple cart. Although different classification models have been developed for network intrusion detection, each of them has its strength and weakness, including the most commonly applied Support Vector Machine(SVM)method and the clustering based on Self Organized Ant Colony Network (CSOACN). Our algorithm is implemented and evaluated using a standard bench mark KDD99 dataset. Experiments show that ant-miner algorithm out performs than other methods in terms of both classification rate and accuracy.