Miracle-dz/UniFAR-FTUs huggingface dataset:
Leucobacter musarum subsp. musarum sp. nov., subsp. nov., Leucobacter musarum subsp. japonicus subsp. nov., and Leucobacter celer subsp. astrifaciens subsp. nov., three nematopathogenic bacteria isolated from Caenorhabditis, with an emended description of Leucobacter celer

Three Gram-stain-positive, irregular-rod-shaped, non-motile, non-spore-forming bacteria were isolated from nematodes collected from Santa Antao, Cabo Verde (CBX151T, CBX152T) and Kakegawa, Japan (CBX130T). Based on 16S rRNA gene sequence similarity, strains CBX130T, CBX151T and CBX152T were shown to belong to the genus Leucobacter. This affiliation was supported by chemotaxonomic data (2,4-diaminobutyric acid in the cell wall; major respiratory quinones MK-10 and MK-11; major polar lipids phosphatidylglycerol and diphosphatidylglycerol; major fatty acids anteiso-C15 : 0, anteiso-C17 : 0 and iso-C16 : 0). Strains CBX130T and CBX152T were found to share salient characteristics. Based on morphological, physiological, chemotaxonomic and biochemical analysis, strain CBX152T represents a novel species of the genus Leucobacter, for which the name Leucobacter musarum sp. nov. (type strain CBX152T = DSM 27160T = CIP 110721T) is proposed. Two subspecies of Leucobacter musarum sp. nov. are proposed: Leucobacter musarum sp. nov. subsp. musarum subsp. nov. (type strain CBX152T = DSM 27160T = CIP 110721T) and Leucobacter musarum sp. nov. subsp. japonicus subsp. nov. (type strain CBX130T = DSM 27158T = CIP 110719T). The third novel strain, CBX151T, showed genetic similarities with Leucobacter celer NAL101T indicating that these strains belong to the same species. Based on morphological, physiological, chemotaxonomic and biochemical differences it is proposed to split the species Leucobacter celer into two novel subspecies, Leucobacter celer subsp. celer subsp. nov. (type strain NAL101T = KACC 14220T = JCM 16465T) and Leucobacter celer subsp. astrifaciens subsp. nov. (type strain CBX151T = DSM 27159T = CIP 110720T), and to emend the description of Leucobacter celer Shin et al. 2011.
Social Influence Bias: A Randomized Experiment

Follow the Leader? The Internet has increased the likelihood that our decisions will be influenced by those being made around us. On the one hand, group decision-making can lead to better decisions, but it can also lead to “herding effects” that have resulted in financial disasters. Muchnik et al. (p. 647) examined the effect of collective information via a randomized experiment, which involved collaboration with a social news aggregation Web site on which readers could vote and comment on posted comments. Data were collected and analyzed after the Web site administrators arbitrarily voted positively or negatively (or not at all) as the first comment on more than 100,000 posts. False positive entries led to inflated subsequent scores, whereas false negative initial votes had small long-term effects. Both the topic being commented upon and the relationship between the poster and commenter were important. Future efforts will be needed to sort out how to correct for such effects in polls or other collective intelligence systems in order to counter social biases. A social news aggregation Web site was used to test whether prior ratings influence others to create bias in rating behavior. Our society is increasingly relying on the digitized, aggregated opinions of others to make decisions. We therefore designed and analyzed a large-scale randomized experiment on a social news aggregation Web site to investigate whether knowledge of such aggregates distorts decision-making. Prior ratings created significant bias in individual rating behavior, and positive and negative social influences created asymmetric herding effects. Whereas negative social influence inspired users to correct manipulated ratings, positive social influence increased the likelihood of positive ratings by 32% and created accumulating positive herding that increased final ratings by 25% on average. This positive herding was topic-dependent and affected by whether individuals were viewing the opinions of friends or enemies. A mixture of changing opinion and greater turnout under both manipulations together with a natural tendency to up-vote on the site combined to create the herding effects. Such findings will help interpret collective judgment accurately and avoid social influence bias in collective intelligence in the future.
A Influência da Denominação de Origem na Percepção de Consumidores de Café: Um Estudo com Brasileiros e Franceses

As indicações geográficas conferem autenticidade aos produtos, estimulando a economia local. Dentre elas, a Denominação de Origem (DO) é a única a garantir padronização dos métodos de produção, inferindo qualidade ao produto final. As DOs brasileiras são utilizadas em âmbito nacional, mas podem conferir vantagem competitiva em nível internacional. Assim, este estudo analisou a utilização do selo de DO em cafés da região do Cerrado Mineiro e seu efeito na percepção de qualidade, confiança, intenção de compra e disposição de preço a pagar de consumidores brasileiros e franceses. Para isso, foi realizada uma pesquisa experimental com design fatorial 3x2, considerando três modelos de embalagem para o café, com variação na apresentação do selo “Made inBrazil” e na DO. A amostra foi composta por 180 casos válidos, sendo 90 consumidores franceses e 90 brasileiros. Os resultados mostram que o reconhecimento da região certificada influencia as percepções sobre o produto, tanto para os consumidores brasileiros quanto para os consumidores franceses.
A Chandra Study of the Multicomponent X-Ray Emission from the X-shaped Radio Galaxy 3C 403

We present results from a 49.4 ks Chandra ACIS-S observation of the nearby (z = 0.059) X-shaped FR type II (FR II) radio galaxy 3C 403. This is the first Chandra observation of an X-shaped radio galaxy, and one of the goals of this pioneering study is to determine the relationship between the X-ray-emitting gas and the X-shaped radio morphology. We find that the X-ray isophotes of the hot gas within ~3. ″5 of the central galaxy are highly elliptical (eccentricity ~0.57) and coaligned with the elliptical optical isophotes. This supports the hypothesis that X-shaped radio sources are created by propagation of jets through asymmetric density distributions. Within large uncertainties, there is no evidence that the lobes or wings are overpressurized relative to the interstellar medium (ISM), supporting the scenario in which the wings are the result of strong backflows of material from the jet head and subsequent buoyant evolution. We have detected X-ray emission from several of the radio knots to the east of the active nucleus and diffuse emission from the radio lobe to the west. The X-ray emission from the eastern knots cannot be explained by an inverse Compton model unless they are far from equipartition. Using archival Hubble Space Telescope (HST) data, optical emission is detected from two knots, and the radio/optical/X-ray spectra are well fitted by simple synchrotron models. This is one of the strongest examples to date of X-ray synchrotron emission from multiple knots in the jet of an FR II radio galaxy. X-ray emission is also detected from the radio wings at a flux consistent with inverse Compton scattering of cosmic microwave background (CMB) photons from relativistic electrons if the wings are near equipartition. The nuclear spectrum is well described by a multicomponent model that includes a heavily absorbed power law (NH ~ 4 × 1023 cm-2) and a bright (EW ~ 244 eV), broadened Fe line. A second, less absorbed, power-law component, likely representing unresolved emission from a parsec-scale jet, is also required.
PPC and neglect in near and far space Far space neglect in conjunction but not feature search following transcranial 1 magnetic stimulation over right posterior parietal cortex

20 Near and far space coding in the human brain is a dynamic process. Areas in 21 dorsal as well as ventral visual association cortex including right posterior parietal 22 cortex (rPPC), right frontal eye field (rFEF) and right ventral occipital cortex (rVO) 23 have been shown to be important in visuospatial processing, but the involvement of 24 these areas when the information is in near or far space remains unclear. There is a 25 need for investigations of these representations to help explain the pathophysiology of 26 hemispatial neglect, and the role of near and far space is crucial to this. We used a 27 conjunction visual search task employing an elliptical array to investigate the effects 28 of transcranial magnetic stimulation delivered over rFEF, rPPC and rVO on the 29 processing of targets in near and far space and at a range of horizontal eccentricities. 30 Like previous studies, we found that rVO was involved in far space search and rFEF 31 was involved regardless of the distance to the array. It was found that rPPC was 32 involved in search only in far space with a neglect-like effect when the target was 33 located in the most eccentric locations. No effects were seen for any site for a feature 34 search task. As the search arrays had higher predictability with respect to target location 35 than is often the case this data may form a basis for clarifying both the role of PPC in 36 visual search, its contribution to neglect and the importance of near and far space in 37 these. 38
Data Reduction in Monitored Data

Nowadays, increasing time series data has brought new challenges in many domains because their massive instances, dimensions, speed and complexity. In order to solve this problem, data reduction techniques are becoming an integral part of future systems, especially for Monitoring System. Different from most data reduction techniques which are based on information theory, this paper is planning to explore a novel model-based method, which tries to build piecewise regression models only for correlated data with guidance of priori knowledge, avoiding unnecessary computation between unrelated data streams. Until now, we have designed a primal data reduction framework, corresponding experiments and evaluation criteria.
Making Games Short

We study the complexity of refereed games, in which two computationally unlimited players play against each other, and a polynomial time referee monitors the game and announces the winner. The players may exchange messages with the referee in private, resulting in a game of perfect recall but incomplete information. We show that any EXPTIME statement can be eeciently transformed into a refereed game in which if the statement is true, the rst player wins with overwhelming probability , and if the statement is false, the second player wins with overwhelming probability. We also prove matching PSPACE upper and lower bounds on the complexity of statements that have refereed games that take one round of communication.
The Sources of Foreign Language Reading Anxiety in an Indonesian EFL Context

: Numerous students experienced anxiety in reading a foreign language particularly when they were asked to read unfamiliar text. This study examined the sources of FL reading anxiety in an Indonesian EFL context, it was a qualitative descriptive method by distributing Foreign Language Reading Anxiety Scale and taking a semi-structured interview of which this research highlighted explicitly about the potential sources of students’ reading anxiety which occurred naturally to the students who learned EFL reading in an English dormitory and considered as a case study. The data from FLRAS was analyzed qualitatively by calculating manually the percentages and mean scores of the student responses to infer the data findings. While the interview data was analyzed to corroborate and confirm the data from questionnaire. It was found that, in an Indonesian EFL context, > 50% students considered text features were more caused them anxious in reading, while the rest recognized that personal factors also have a negative impact on their reading performances. However, choosing an appropriate text will be better to be considered for teachers in teaching EFL reading in order to decrease the students’ anxiety and increase the students’ interest in reading.
The politics of pleasing: a critical analysis of multistakeholderism in Public Service Media policies in Flanders

This article focuses on contributions and pitfalls of multistakeholder approaches to Public Service Media policymaking. It asks whether the inclusion of stakeholders effectively leads to more coherent and sustainable policies or whether it mainly serves as window dressing and as additional inroad for the private sector to lobby against Public Service Media. First, we discuss multistakeholderism on the basis of deliberative democracy research and scholarly insights on the inclusion of stakeholders in media policy. Subsequently, we present results from Public Service Media policymaking in Flanders since 2010, examining seven instances of multistakeholder policymaking. Findings show that the reality of multistakeholderism is not necessarily inclusive, seems concerned predominantly with the interests of legacy media and does not prevent continued informal lobbying from commercial media. Even when the process is led by academics, politicians instrumentalize results and rarely with a view to improve Public Service Media as democratic policy project.
Analysis of plant species diversity and forest structure in Arero dry Afromontane forest of Borena zone, South Ethiopia

Accelerated human population growth mostly coupled with poverty has enhanced negative impacts on forest resources in Ethiopia. This study aims to assess the vegetation structure, composition, and plant species diversity and regeneration status of Arero dry Afromontane forest. Concentric circular plots of 1m, 3m and 10m radius were used for recording seedling, sapling and tree species respectively. As the result, 84 species that belong to 44 families were recorded in the forest. The Shannon-Wiener diversity indices and evenness of woody species were H’=2.67 and J’=0.79 respectively. The total density and abundance of woody species were 272 stems ha per hectare and 427 individuals per all of the sampled plots. The forest is floristically diverse and rich as compared to many similar forests in Ethiopia. The structural analyses of the population of some dominant species experience poor regeneration. This implies that current management practices are not satisfactory to sustain forest conditions.
Monitoring Choice Task Attribute Attendance in Nonmarket Valuation of Multiple Park Management Services: Does It Matter?

Land management in Alpine parks provides multifunctional services to separate groups of users. Choice experiments can be used to derive estimates of value for different management attributes. However, little research has been conducted on how frequently respondents ignore attributes used to describe policy management scenarios. We fill this gap using an approach that identifies and compares both serial and choice task attribute nonattendance addressing five different visitor types. Our results indicate that accounting for choice task nonattendance significantly improves model fit and yield estimates of marginal willingness to pay with a more plausible pattern of signs and greater efficiency. (JEL Q24, Q51)
Performance and Power in Social Movements: Biko’s Role as a Witness in the SASO/BPC Trial

This article provides a case study of the relationship between performance and power in social movements. It reveals how movements are able to reiterate established cultures of resistance across time and space through performative means. It also shows how – given requisite stage settings and skilful actors – methods of performance allow movements to subvert established structures of domination to their political advantage. It does this through focussing on Steve Biko’s role as a defence witness in an apartheid-era political trial of leaders of the Black Consciousness Movement (BCM). It demonstrates how, within the courtroom setting, Biko and the defendants improvised upon various pre-established codes, scripts, and dramatic techniques, augmenting the likelihood that their performances would resonate successfully with their audiences. In addition, it shows how Biko and the defendants used social performance to subvert many of apartheid’s established culture structures, enabling them not only to explicitly articulate the principles of BC philosophy, but also to implicitly embody and act them out.
SCRUTINIZING SHOPPER AND RETAILER PERCEPTION ON SHOPPING DESTINATION IMAGE

This paper examines the shopping destination image model incorporating three image dimensions, cognitive, affective, and conative, with regards to shoppers and frontline retail employees. The results verify the relevance of the shopping destination image model to shopper and retail employee sample. The cognitive image and affective image components are important drivers of conative with respect to both shoppers and retail employees. Furthermore, this study shows that the differences between shoppers and retail employees on the associations among the image dimensions are insignificant. The conceptual and managerial implications of these findings are reviewed.
Frequent Itemset Mining for Big Data

Frequent Itemset Mining (FIM) is one of the most well known techniques to extract knowledge from data. The combinatorial explosion of FIM methods become even more problematic when they are applied to Big Data. Fortunately, recent improvements in the field of parallel programming already provide good tools to tackle this problem. However, these tools come with their own technical challenges, e.g. balanced data distribution and inter-communication costs. In this paper, we investigate the applicability of FIM techniques on the MapReduce platform. We introduce two new methods for mining large datasets: Dist-Eclat focuses on speed while BigFIM is optimized to run on really large datasets. In our experiments we show the scalability of our methods.
A conceptual framework for intelligence-based public health nutrition workforce development

Abstract Objective: This paper describes a conceptual framework and associated intelligence requirements for problem-based workforce development for public health nutrition. Methods: A conceptual framework for public health nutrition workforce development was constructed based on a review of the literature and consideration of the intelligence needs to inform workforce development planning. Results: A cyclical conceptual framework including five intelligence-linked components including public health nutrition problems and priorities, solutions and best buys, work needed, capacity to do the work and workforce development needs. This framework applied to the Australian situation illustrates its applications in workforce development research and planning. Although the existing availability of workforce development intelligence in each of these components varies, the framework does provide a systematic approach for workforce development research and planning directly related to public health nutrition problem resolution. Conclusions: This framework highlights deficiencies in the existing public health nutrition workforce development intelligence and the need for further research to inform workforce development strategy planning.
Selection Procedures for Simulations with Multiple Constraints under Independent and Correlated Sampling

We consider the problem of selecting the best feasible system with constraints on multiple secondary performance measures. We develop fully sequential indifference-zone procedures to solve this problem that guarantee a nominal probability of correct selection. In addition, we address two issues critical to the efficiency of these procedures: namely, the allocation of error between feasibility determination and selection of the best system, and the use of Common Random Numbers. We provide a recommended error allocation as a function of the number of constraints, supported by an experimental study and an approximate asymptotic analysis. The validity and efficiency of the new procedures with independent and CRN are demonstrated through both analytical and experimental results.
System identification by dynamic factor models

This paper is concerned with linear dynamic factor models. In such models the observed process is decomposed into a structured part called the latent process, and a remainder that is called noise. The observed variables are treated in a symmetric way, so that no distinction between inputs and outputs is required. This motivates the condition that also the prior assumptions on the noise are symmetric in nature. We investigate the relation between optimal models and the spectrum of the observed process. This concerns in particular properties of continuity and consistency. Several possible noise specifications and measures of fit are considered.
Investor Psychological Bias and Speculation: Asymmetric Impacts of Big Data on Commodity Price

This research attempts to propose a new measure of investor psychological bias with big data crawled from the web. The author constructs the investor bias measure with web search data and investigate the influences of this new measure on crude oil futures prices. Using 225,250 data points from Google, this paper computes the investor bias, and evaluates it with trading volumes. The author establishes a Markov switching model and reveals that the influences of investor bias on crude oil prices are asymmetric in two regimes (rising and decreasing) of crude oil prices. The influence of the new measure on oil prices is negative (positive) in the phases of prices decreasing (rising). This study contributes the new measurement of investor psychological bias leveraging big data crawled from the web to the research community. Big data may become an important source to better understand investors’ trading psychology, and support their decision making.
Detection and Classification of Rolling-Element Bearing Faults using Support Vector Machines

This paper proposes development of support vector machines (SVMs) for detection and classification of rolling-element bearing faults. The training of the SVMs is carried out using the sequential minimal optimization (SMO) algorithm. In this paper, a mechanism for selecting adequate training parameters is proposed. This proposal makes the classification procedure fast and effective. Various scenarios are examined using two sets of vibration data, and the results are compared with those available in the literature that are relevant to this investigation
Synchronizing pace in asynchronous global virtual project teams

In this study, we explore the nature of team interaction and the role of temporal coordination in asynchronously communicating global virtual project teams (GVPTs). Drawing on time, interaction, and performance (TIP) theory, we consider how and why virtual team behavior is temporally patterned in complex ways. We report on the results of an experiment consisting of 35 virtual project teams comprised of 175 members residing in the US and Japan. Through content and cluster analysis, we identify distinct patterns of interaction and examine how these patterns are associated with differential levels of GVPT performance. We also explore the role of temporal coordination mechanisms as a means to synchronize temporal patterns in GVPTs. Our results suggest that successful enactment of temporal coordination mechanisms is associated with higher performance. However, we found that temporal coordination per se is not the driver of performance; rather, it is the influence of coordination on interaction behaviors that affects performance.