Miracle-dz/UniFAR-FTUs huggingface dataset:
Visual Analysis of Real-time Social Media for Emergency Response

The prevalence of Social Media in sharing day to day in- formation regarding all aspects of our life is ever increasing. More so, with access to cheap Internet-enabled devices and proliferation of Social Media applications. Among the variety of information shared, the most relevant, in the context of this paper is how individuals assess their surroundings and how they or their loved ones are affected by adverse events, disasters and crises. Traditional channels of communication often fall behind in providing timely information for emergency responders to formulate an accurate picture of the situation on the ground. The role of Social Media in complimenting such sources of information is thus invaluable and Social Media has been recognised as a key element of assessing evolving situations. Timely, accurate and efficient means to explore and query Social Media is essential for an effective response during emergencies, and hence this gives rise to a Knowledge Management issue. Our paper presents our approach to analysing Real-Time Social Media data streams using Visual Analytic techniques. We discuss the highly visual and interactive approach we employ to provide emergency responders means to access data of interest, supporting different information seeking paradigms.
Bayesian Synchronous Grammar Induction

We present a novel method for inducing synchronous context free grammars (SCFGs) from a corpus of parallel string pairs. SCFGs can model equivalence between strings in terms of substitutions, insertions and deletions, and the reordering of sub-strings. We develop a non-parametric Bayesian model and apply it to a machine translation task, using priors to replace the various heuristics commonly used in this field. Using a variational Bayes training procedure, we learn the latent structure of translation equivalence through the induction of synchronous grammar categories for phrasal translations, showing improvements in translation performance over maximum likelihood models.
Psychological distress in rheumatoid arthritis patients: An evaluation within the conservation of resources theory

Rheumatoid arthritis (RA) is a chronic disease, which can lead to considerable psychological distress. The present study evaluated anxiety and depression symptoms for this chronic and painful illness within the framework of the conservation of resources (COR) theory. Coping strategies, coping self-efficacy, religiousness and social support are very important personal resources, which have been found to protect individuals from psychological distress. The aim of the present study was to examine the predictive values of socio-demographic and illness-related variables, perceived social support, ways of coping, religiousness, arthritis self-efficacy and resource loss for psychological distress in a sample of 117 RA patients from Turkey, a secular, Islamic, non-western developing country. The results revealed that RA patients experience considerable anxiety and depressive symptoms. The results of the regression analysis showed that gender, helplessness coping and resource loss are significant predictors of anxiety, whereas arthritis self-efficacy and resource loss are significant predictors of depression. Resource loss appeared as an important predictor for both anxiety and depression. This finding was consistent with the COR theory. The clinical implications of these findings are discussed.
An algorithmic framework for performing collaborative filtering

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Diversity and Adaptation of Human Respiratory Syncytial Virus Genotypes Circulating in Two Distinct Communities: Public Hospital and Day Care Center

HRSV is one of the most important pathogens causing acute respiratory tract diseases as bronchiolitis and pneumonia among infants. HRSV was isolated from two distinct communities, a public day care center and a public hospital in São José do Rio Preto – SP, Brazil. We obtained partial sequences from G gene that were used on phylogenetic and selection pressure analysis. HRSV accounted for 29% of respiratory infections in hospitalized children and 7.7% in day care center children. On phylogenetic analysis of 60 HRSV strains, 48 (80%) clustered within or adjacent to the GA1 genotype; GA5, NA1, NA2, BA-IV and SAB1 were also observed. SJRP GA1 strains presented variations among deduced amino acids composition and lost the potential O-glycosilation site at amino acid position 295, nevertheless this resulted in an insertion of two potential O-glycosilation sites at positions 296 and 297. Furthermore, a potential O-glycosilation site insertion, at position 293, was only observed for hospital strains. Using SLAC and MEME methods, only amino acid 274 was identified to be under positive selection. This is the first report on HRSV circulation and genotypes classification derived from a day care center community in Brazil.
To fence or not to fence: A partial probit analysis

Based on the results of a probit model estimated from a survey of 1625 farmers from seven major dairying regions in New Zealand, farmers’ attitudes (perception about the overall benefits) appear to be are a major governing factor of waterway fencing in all regions. While fencing in Northland and West Coast regions was lower than elsewhere, owner/operators in those regions tended to fence more than farmers with other types of ownership structures. Environmental issues also appeared to be important; however the level of environmental awareness did not reflect the actual degree of fencing.
Clopidogrel: a CURE in acute coronary syndromes?

The standard approach to preventing acute coronary syndromes (ACSs)has been to inhibit platelet aggregation with aspirin and to inhibit blood coagulation with low molecular-weight heparin (LMWH). Even with this combination there is still a substantial short and long-term cardiovascular risk. The Clopidogrel in Unstable angina to prevent Recurrent Events (CURE) trial [1] compared clopidogrel plus aspirin against aspirin alone in patients with ACSs. The clopidogrel regimen was a loading dose of 300 mg p.o. followed by 75 mg/day and the recommended dose of aspirin was 75 - 325 mg/day. The first primary outcome was a composite of death from cardiovascular causes, non-fatal myocardial infarction (MI) or stroke and this occurred significantly less often in the clopidogrel than the placebo group (9.3 vs. 11.4%). Although there were more clopidogrel patients with life-threatening bleeding (clopidogrel 2.2%, placebo 1.8%), this represented GI haemorrhages and bleeding at sites of arterial puncture rather than fatal bleeding. This trial suggests a role for clopidogrel in the long-term treatment of ACSs.
On the Gain of Primary Exclusion Region and Vertical Cooperation in Spectrum Sharing Wireless Networks

The emerging cognitive radio (CR) technology enables the introduction of hierarchical spectrum sharing in wireless networks, where the primary users (PUs) have transmission guarantees, but the coexisting secondary users (SUs) need to be cognitive toward primary activities and adjust their transmissions to conform to the primary constraints. We consider large-scale coexisting primary and secondary networks, where concurrent primary and secondary transmissions are allowed and where the SUs control the interference at the primary receivers by tuning the probability of transmitting and by forming a primary exclusive region (PER) around each primary receiver within which all SUs have to be silent. Moreover, the primary source-destination pairs utilize vertical cooperation by selecting a nearby SU to act as a cooperative relay. We define a unified analytic framework to model cognition and cooperative transmission in large-scale networks. We characterize the achievable gains considering the transmission density region and show that both of the networks have strong incentives to participate in the collaboration.
Movement detection and analysis of resistance exercises for smart fitness platform

According to the rapid advance of healthcare services, fitness exercise is one of the attracting fields for the usage of wearable devices. In order to apply the wearable devices to fitness services, this paper proposes a method of detecting and analyzing the periodic movement of the resistance exercises such as squat, arm curl and triceps extension. Firstly, the slope tracing for peak detection algorithm is proposed to detect clearly the peak value of the noisy acceleration signals. Secondly, seven exercise features are defined for the exercise evaluations, which are measured according to the experimental executions. Finally, those results are analyzed and their conclusive remarks are presented.
False Discovery Rates and the James-Stein Estimator

The new century has brought us a new class of statistics problems, much bigger than their classical counterparts, and often involving thousands of parameters and millions of data points. Happily, it has also brought some powerful new statistical methodologies. The most prominent of these is Benjamini and Hochberg’s False Discovery Rate (FDR) procedure, extensively explored in this issue of Statistica Sinica, along with ROC techniques. Here, in the brief format of an editorial, I wanted to step back from particulars to take a broader look at the background, virtues, and limitations of FDR methods.
Analysis of E-Discussions Using Classifier Induced Semantic Spaces

We categorise contributions to an e-discussion platform using Classifier Induced Semantic Spaces and Self-Organising Maps. Analysing the contributions delivers insight into the nature of the communication process, makes it more comprehensible and renders the resulting decisions more transparent. Additionally, it can serve as a basis to monitor how the structure of the communication evolves over time. We evaluate our approach on a public ediscussion about an urban planning project, the Berlin Alexanderplatz, Germany. The proposed technique does not only produce high-level-features relevant to structure and monitor computer mediated communication, but also provides insight into how typical a particular document is for a specific category.
An Aitken-Schwarz method for efficient metacomputing of elliptic equations

1. Introduction. Metacomputing as defined by Larry Smarr [13] has been implemented in many projects among which GLOBUS is the most widely developed one [2]. Experiments with large configurations have however shown that the latency of wide area networks is prohibitively high and that substantial bandwidth can hardly be achieved [10]. From that some people have concluded that metacomputing does not make sense. However, there are two strong arguments for metacomputing. First, with the introduction of clusters of fat nodes, varying latencies, and bandwidths are a characteristic feature of any modern hardware. Algorithms developed in metacomputing environments are therefore well suited also for such systems. Second, some large problems require a level of computing power not available on a single system. Especially in cases of industrial or natural disasters reliable predictions based on extremely large models may only be achievable on clustered supercomputers in a metacomputing environment. Such simulations of emergency scenarios will again need clever algorithms that can tolerate the bad performance of wide area communication networks. The development of such algorithms is difficult. For Poisson or Helmholtz operators the speed of propagation of information in the spatial domain is infinite. However, two factors help to design latency-aware algorithms; firstly information propagating at infinite speed can be damped in space relatively fast, secondly, more than 90 percent of the information carried in a practical computation is noise. In this paper, we address the significant challenge to build a fast solver for the Helmholtz operator. It combines the Aitken-Schwarz domain decomposition method [4, 5] associated with the Partial Solution variant of Cyclic Reduction (PSCR) method [11, 12] on large scale parallel computers.
Honorifics: A sociocultural verb agreement cue in Japanese sentence processing

ABSTRACT Case marking is the major cue to sentence interpretation in Japanese, whereas animacy and word order are much weaker. However, when subjects and their cases markers are omitted, Japanese honorific and humble verbs can provide information that compensates for the missing case role markers. This study examined the usage of honorific and humble verbs as cues to case role assignment by Japanese native speakers and second-language learners of Japanese. The results for native speakers replicated earlier findings regarding the predominant strength of case marking. However, when case marking was missing, native speakers relied more on honorific marking than word order. In these sentences, the processing that relied on the honorific cue was delayed by about 100 ms in comparison to processing that relied on the case-marking cue. Learners made extensive use of the honorific agreement cue, but their use of the cue was much less accurate than that of native speakers. In particular, they failed to systematically invoke the agreement cue when case marking was missing. Overall, the findings support the predictions of the model and extend its coverage to a new type of culturally determined cue.
Sperm mobility determines the outcome of sperm competition in the domestic fowl

The aim of this study was to establish whether the mobility of sperm of the domestic fowl, as measured by an in vitro assay, predicted the outcome of sperm competition. Thirteen pairs of New Hampshire roosters, comprising one male categorized as having high–mobility sperm and the other as having average–mobility sperm, were used. Each male provided 25 times 106 sperm, which were mixed and artificially inseminated into between four and seven New Hampshire hens, each of which produced 2 to 11 offspring. The experiment was conducted twice, such that the same pair of males inseminated the same females. Paternity was assigned by using microsatellite markers. There was a clear effect of sperm–mobility phenotype on the outcome of sperm competition: in all 13 pairs the high–mobility male fathered the majority of offspring (73.3% overall; p < 0.0001). The proportion of offspring fathered by the high–mobility male within pairs varied significantly between male pairs (p < 0.0005). This effect was associated with the difference in sperm–mobility scores between males within pairs: there was a significant positive relationship between the proportion of offspring fathered by the high–mobility male and the ratio of mobility scores between males (p < 0.05). In addition, compared with their success predicted from the non–competitive situation, in the competitive situation high–mobility males were disproportionately successful in fertilizing eggs compared with average–mobility males. This may occur because female sperm storage is limited in some way and a greater proportion of high–mobility sperm gain access to the female's sperm storage tubules. There was no evidence that female effects accounted for any of the variation in paternity.
CAWA: Coordinated warp scheduling and Cache Prioritization for critical warp acceleration of GPGPU workloads

The ubiquity of graphics processing unit (GPU) architectures has made them efficient alternatives to chipmultiprocessors for parallel workloads. GPUs achieve superior performance by making use of massive multi-threading and fast context-switching to hide pipeline stalls and memory access latency. However, recent characterization results have shown that general purpose GPU (GPGPU) applications commonly encounter long stall latencies that cannot be easily hidden with the large number of concurrent threads/warps. This results in varying execution time disparity between different parallel warps, hurting the overall performance of GPUs - the warp criticality problem. To tackle the warp criticality problem, we propose a coordinated solution, criticality-aware warp acceleration (CAWA), that efficiently manages compute and memory resources to accelerate the critical warp execution. Specifically, we design (1) an instruction-based and stall-based criticality predictor to identify the critical warp in a thread-block, (2) a criticality-aware warp scheduler that preferentially allocates more time resources to the critical warp, and (3) a criticality-aware cache reuse predictor that assists critical warp acceleration by retaining latency-critical and useful cache blocks in the L1 data cache. CAWA targets to remove the significant execution time disparity in order to improve resource utilization for GPGPU workloads. Our evaluation results show that, under the proposed coordinated scheduler and cache prioritization management scheme, the performance of the GPGPU workloads can be improved by 23% while other state-of-the-art schedulers, GTO and 2-level schedulers, improve performance by 16% and -2% respectively.
An IDE-based context-aware meta search engine

Traditional web search forces the developers to leave their working environments and look for solutions in the web browsers. It often does not consider the context of their programming problems. The context-switching between the web browser and the working environment is time-consuming and distracting, and the keyword-based traditional search often does not help much in problem solving. In this paper, we propose an Eclipse IDE-based web search solution that collects the data from three web search APIs-Google, Yahoo, Bing and a programming Q & A site-StackOverflow. It then provides search results within IDE taking not only the content of the selected error into account but also the problem context, popularity and search engine recommendation of the result links. Experiments with 25 runtime errors and exceptions show that the proposed approach outperforms the keyword-based search approaches with a recommendation accuracy of 96%. We also validate the results with a user study involving five prospective participants where we get a result agreement of 64.28%. While the preliminary results are promising, the approach needs to be further validated with more errors and exceptions followed by a user study with more participants to establish itself as a complete IDE-based web search solution.
XPOLA – An Extensible Capability-based Authorization Infrastructure for Grids

There is great need for a secure, fine-grained, efficient, and user-friendly authorization infrastructure to protect the services in Grid community. Grid users and administrators still have to deal with authentication and authorization issues in the traditional supercomputer-centric fashion, especially with the host account maintenance and certificate management. This paper proposes a capability-based infrastructure that provides a fine-grained authorization solution to Web service deployments, and also manages to hide complex security issues from regular Grid users. Furthermore, it gives the resource providers and administrators the extensibility, flexibility and convenience to enforce their authorization policies at the resource with minimal efforts.
Transposase-Derived Proteins FHY3/FAR1 Interact with PHYTOCHROME-INTERACTING FACTOR1 to Regulate Chlorophyll Biosynthesis by Modulating HEMB1 during Deetiolation in Arabidopsis[W]

This study identifies FHY3 and FAR1 as positive regulators directly affecting chlorophyll biosynthesis through the activation of HEMB1. It shows that FHY3 protein physically interacts with PIF1, a negative regulator in the pathway, and they work coordinately to modulate the plant greening process. Successful chlorophyll biosynthesis during initial light exposure is critical for plant survival and growth, as excess accumulation of chlorophyll precursors in darkness can cause photooxidative damage to cells. Therefore, efficient mechanisms have evolved to precisely regulate chlorophyll biosynthesis in plants. Here, we identify FAR-RED ELONGATED HYPOCOTYL3 (FHY3) and FAR-RED IMPAIRED RESPONSE1 (FAR1), two transposase-derived transcription factors, as positive regulators of chlorophyll biosynthesis in Arabidopsis thaliana. We show that null mutations in FHY3 and FAR1 cause reduced protochlorophyllide (a precursor of chlorophyll) levels in darkness and less photobleaching in the light. We find that FHY3 directly binds to the promoter and activates expression of HEMB1, which encodes 5-aminolevulinic acid dehydratase in the chlorophyll biosynthetic pathway. We reveal that PHYTOCHROME-INTERACTING FACTOR1 physically interacts with the DNA binding domain of FHY3, thereby partly repressing FHY3/FAR1-activated HEMB1 expression. Strikingly, FHY3 expression is upregulated by white light. In addition, our genetic data indicate that overexpression, severe reduction, or lack of HEMB1 impairs plant growth and development. Together, our findings reveal a crucial role of FHY3/FAR1 in regulating chlorophyll biosynthesis, thus uncovering a new layer of regulation by which light promotes plant dark–light transition in early seedling development.
Microbial synthesis of core/shell gold/palladium nanoparticles for applications in green chemistry

We report a novel biochemical method based on the sacrificial hydrogen strategy to synthesize bimetallic gold (Au)–palladium (Pd) nanoparticles (NPs) with a core/shell configuration. The ability of Escherichia coli cells supplied with H2 as electron donor to rapidly precipitate Pd(II) ions from solution is used to promote the reduction of soluble Au(III). Pre-coating cells with Pd(0) (bioPd) dramatically accelerated Au(III) reduction, with the Au(III) reduction rate being dependent upon the initial Pd loading by mass on the cells. Following Au(III) addition, the bioPd–Au(III) mixture rapidly turned purple, indicating the formation of colloidal gold. Mapping of bio-NPs by energy dispersive X-ray microanalysis suggested Au-dense core regions and peripheral Pd but only Au was detected by X-ray diffraction (XRD) analysis. However, surface analysis of cleaned NPs by cyclic voltammetry revealed large Pd surface sites, suggesting, since XRD shows no crystalline Pd component, that layers of Pd atoms surround Au NPs. Characterization of the bimetallic particles using X-ray absorption spectroscopy confirmed the existence of Au-rich core and Pd-rich shell type bimetallic biogenic NPs. These showed comparable catalytic activity to chemical counterparts with respect to the oxidation of benzyl alcohol, in air, and at a low temperature (90°C).
Building the search pattern of web users using conceptual semantic space model

As the web enters Big Data age, users and search engines may find it more and more difficult to effectively use and manage such big data. This paper proposes a method based on user tasks to perceive user intent, the meaningful user intent can be separated, and the elusiveness of user intent can be solved. One more thing, the method based on user task can predict the user behaviour to some extent. The main work of this paper is to propose such a concept space to fit the above features and the method to build the concept space on a large text database. We propose a new search pattern termed as ExNa, which can be incorporated into search engines to support more efficient search with better results. We conduct experimental studies upon a prototype search engine KNOWLE, so as to evaluate the validity and performance of our proposed ExNa mechanism.