Miracle-dz/UniFAR-FTUs huggingface dataset:
Complex free surface flows for mould filling using centrifugal casting

A challenging application in the computational modelling of free-surface flows and interacting physical phenomena is in the context of centrifugal casting. The combination of complex rotating geometries, significant centrifugal forces and high velocity transient free surface flows, coupled with heat transfer and solidification yields a comprehensive problem. Obviously the objective in centrifugal casting is to capitalise on the resulting centrifugal forces to control the flow dynamics and reduce component defects. This contribution will describe the enhancements required to enable conventional free surface algorithms to capture the details of the flow during the filling stage of centrifugal casting in what are inevitably complex three dimensional geometries. The work described in this paper concentrates on resolving the fluid film formation at the early filling stages and the subsequent vortex formation. Validation of the above phenomena is a key issue; a series of water model experiments has been performed and recorded using high-speed video image capture. The objective was to validate and refine the computational model predictions using repeatable high quality experimental data, before application of the model in analysing full-scale centrifugal casting process. A number of key observations arise from this work that are not trivial to capture within the computational modelling tools; however, for the models to be useful in the analysing the full scale casting process, such physics must be reflected within their predictive capability.
Bmc Microbiology

Extended-Spectrum β-lactamase (ESBL) producing Enterobacter aerogenes phenotypically misidentified as Klebsiella pneumoniae or K. terrigena Abstract Background: Enterobacter aerogenes and Klebsiella pneumoniae are common isolates in clinical microbiology and important as producers of extended spectrum β-lactamases (ESBL). The discrimination between both species, which is routinely based on biochemical characteristics, is generally accepted to be straightforward. Here we report that genotypically unrelated strains of E. aerogenes can be misidentified as K. pneumoniae by routine laboratories using standard biochemical identification and using identification automates.
Speeding up SoC virtual platform simulation by data-dependency-aware synchronization and scheduling

In this paper, we proposed a novel simulation scheme, called data-dependency-aware synchronization and scheduling, for SoC virtual platform simulation. In contrast to the conventional clock-or transaction-based synchronization, our simulation scheme can work with the clock decoupling and direct-data-access techniques to implement the trace-driven virtual synchronization methodology. In addition, we further extend the virtual synchronization concept to handle the interrupt signals in the system. This enables the porting of operating system (uCLinux) in our virtual platform. The experimental results show that our virtual platform can achieve 3 to 5 million-instructions-per-second simulation speed, or 44 times speed-up over the conventional cycle accurate approach, while still maintaining the same cycle-count accuracy.
Concurrent and robust topological map matching

Offline map matching is a process of associating a sequence of GPS location readings measured with a device held by a traveling user, to the real-world roads that were presumably traveled by the user. The main goals in map matching are (1) to provide an association which is as accurate as possible with respect to actual traveled roads, and (2) to compute the matching as efficiently as possible. We describe our implementation of a map matching algorithm that enables parallel computation of the matching, being developed as part of the ACM SIGSPATIAL CUP 2012 contest, and we present the results of an experimental evaluation over the data of the contest. We show that our algorithm is efficient and robust in the sense that it maintains a high level of accuracy even when the sampling rate is low.
Inter-Comparison of ILAS-II Version 1.4 Aerosol Extinction Coefficient at 780 nm with SAGE II, SAGE III, and POAM III Aerosol Data

The Improved Limb Atmospheric Spectrometer (ILAS) II on board the Advanced Earth Observing Satellite (ADEOS) II observed stratospheric aerosol in visible/near-infrared/infrared spectra over high latitudes in the Northern and Southern Hemispheres. Observations were taken intermittently from January to March, and continuously from April through October, 2003. We assessed the data quality of ILAS-II version 1.4 aerosol extinction coefficients at 780 nm from comparisons with the Stratospheric Aerosol and Gas Experiment (SAGE) II, SAGE III, and the Polar Ozone and Aerosol Measurement (POAM) III aerosol data. At heights below 20 km in the Northern Hemisphere, aerosol extinction coefficients from ILAS-II agreed with those from SAGE II and SAGE III within 10%, and with those from POAM III within 15%. From 20 to 26 km, ILAS-II aerosol extinction coefficients were smaller than extinction coefficients from the other sensors; differences between ILAS-II and SAGE II ranged from 10% at 20 km to 34% at 26 km. ILAS-II aerosol extinction coefficients from 20 to 25 km in February over the Southern Hemisphere had a negative bias (12-66%) relative to SAGE II aerosol data. The bias increased with increasing altitude. Comparisons between ILAS-II and POAM III aerosol extinction coefficients from January to May in the Southern Hemisphere (defined as the non-Polar Stratospheric Cloud (PSC) season ) yielded qualitatively similar results. From June to October (defined as the PSC season ), aerosol extinction coefficients from ILAS-II were smaller than those from POAM III above 17 km, as in the case of the non-PSC season; however, ILAS-II and POAM III aerosol data were within 15% of each other from 12 to 17 km.
ADAAPT: A Deep Architecture for Adaptive Policy Transfer from Multiple Sources

The ability to transfer knowledge from learnt source tasks to a new target task can be very useful in speeding up the learning process of a Reinforcement Learning agent. This has been receiving a lot of attention, but the application of transfer poses two serious challenges which have not been adequately addressed in the past. First, the agent should be able to avoid negative transfer, which happens when the transfer hampers or slows down the learning instead of speeding it up. Secondly, the agent should be able to do selective transfer which is the ability to select and transfer from different and multiple source tasks for different parts of the state space of the target task. We propose ADAAPT: A Deep Architecture for Adaptive Policy Transfer, which addresses these challenges. We test ADAAPT using two different instantiations: One as ADAAPTive REINFORCE algorithm for direct policy search and another as ADAAPTive Actor-Critic where the actor uses ADAAPT. Empirical evaluations on simulated domains show that ADAAPT can be effectively used for policy transfer from multiple source MDPs sharing the same state and action space.
TOPSIG: topology preserving document signatures

Comparisons between file signatures and inverted files for text retrieval have shown the shortcomings of traditional file signatures. It has been widely accepted that traditional file signatures are inferior alternatives to inverted files. This paper describes TopSig, a new approach to the construction of file signatures that extends recent advances in semantic hashing and dimensionality reduction. These were not so far linked to general purpose, signature file based, search engines. We demonstrate significant improvements in the performance of signature file based indexing and retrieval. Performance is comparable to the state of the art inverted file based systems, including language models and BM25. These findings suggest that file signatures offer a viable alternative to inverted files in suitable settings and positions the file signatures model in the class of Vector Space retrieval models.
Intra- and interpersonal effects of coping on the psychological well-being of adults with sensory loss and their spouses

Abstract Purpose: The aim of the current study was to examine the associations between coping and psychological well-being among adults with sensory loss and their spouses. Methods: A total of 183 adults with sensory loss and 133 spouses participated in an online survey and were followed up six months later. Coping and well-being were measured using the Brief Coping Orientation to Problems Experienced Scale (Brief COPE) and the five-item World Health Organization Well-Being Index (WHO-5), respectively. Cross-sectional and longitudinal intra- and interpersonal effects of coping on psychological well-being were analyzed using a structural equation modeling approach. Results: Results showed that a significant portion of adults with sensory loss (32.4%) and spouses (23.8%) had poor well-being, and this remained stable over the six-month period. Coping styles associated with the well-being of adults with sensory loss included active coping, avoidance, distraction, venting and spouse support seeking. Coping styles associated with the well-being of spouses included support seeking, distraction, venting, avoidance (by partner) and humor (by partner). Conclusion: The results highlight the need to support the well-being of adults with sensory loss and their spouses in rehabilitation, and the importance of both intra- and interpersonal coping in the adjustment process. Implications for rehabilitation Rehabilitation specialists and social workers working with adults with sensory loss should, where possible, incorporate family members into support plans. Rehabilitation specialists and social workers working in sensory rehabilitation should be mindful of how the coping styles of one partner can impact the well-being of their significant other. In addition to promoting positive coping behaviors, such as planning and support seeking, rehabilitation specialists and social workers should also take care to identify and reduce maladaptive coping behaviors such as avoidance and distraction. Online and print information for spouses on how to cope with a partner’s sensory loss should be available and accessible for couples attending sensory rehabilitation clinics.
Dependent rounding in bipartite graphs

We combine the pipage rounding technique of Ageev & Sviridenko with a recent rounding method developed by Srinivasan (2001), to develop a new randomized rounding approach for fractional vectors defined on the edge-sets of bipartite graphs. We show various ways of combining this technique with other ideas, leading to the following applications: richer random-graph models for graphs with a given degree-sequence; improved approximation algorithms for: (i) throughput-maximization in broadcast scheduling, (ii) delay-minimization in broadcast scheduling, and (iii) capacitated vertex cover; fair scheduling of jobs on unrelated parallel machines. A useful feature of our method is that it lets us prove certain (probabilistic) per-user fairness properties.
Silica nanocone array as a template for fabricating a plasmon induced hot electron photodetector

Plasmon induced hot electrons have attracted a great deal of interest as a novel route for photodetection and light-energy harvesting. Herein, we report a hot electron photodetector in which a large array of nanocones deposited sequentially with aluminum, titanium dioxide, and gold films can be integrated functionally with nanophotonics and microelectronics. The device exhibits a strong photoelectric response at around 620 nm with a responsivity of 180 μA/W under short-circuit conditions with a significant increase under 1 V reverse bias to 360 μA/W. The increase in responsivity and a red shift in the peak value with increasing bias voltage indicate that the bias causes an increase in the hot electron tunneling effect. Our approach will be advantageous for the implementation of the proposed architecture on a vast variety of integrated optoelectronic devices.
Modeling the low-velocity impact characteristics of woven glass epoxy composite laminates using artificial neural networks

Abstract In this work, a new methodology based on artificial neural networks (ANN) has been developed to study the low-velocity impact characteristics of woven glass epoxy laminates of EP3 grade. To train and test the networks, multiple impact cases have been generated using statistical analysis of variance (ANOVA). Experimental tests were performed using an instrumented falling-weight impact-testing machine. Different impact velocities and impact energies on different thicknesses of laminates were considered as the input parameters of the ANN model. This model is a feed-forward back-propagation neural network. Using the input/output data of the experiments, the model was trained and tested. Further, the effects of the low-velocity impact response of the laminates at different energy levels were investigated by studying the cause-effect relationship among the influential factors using response surface methodology. The most significant parameter is determined from the other input variables through ANOVA.
Top-k Nearest Neighbor Search In Uncertain Data Series

Many real applications consume data that is intrinsically uncertain, noisy and error-prone. In this study, we investigate the problem of finding the top-k nearest neighbors in uncertain data series, which occur in several different domains. We formalize the top-k nearest neighbor problem for uncertain data series, and describe a model for uncertain data series that captures both uncertainty and correlation. This distinguishes our approach from prior work that compromises the accuracy of the model by assuming independence of the value distribution at neighboring time-stamps. We introduce the Holistic-PkNN algorithm, which uses novel metric bounds for uncertain series and an efficient refinement strategy to reduce the overall number of required probability estimates. We evaluate our proposal under a variety of settings using a combination of synthetic and 45 real datasets from diverse domains. The results demonstrate the significant advantages of the proposed approach.
Unsupervised Change Detection using Image Fusion and Kernel K-Means Clustering

Change detection algorithms play a vital role in overseeing the transformations on the earth surface. Unsupervised change detection has a indispensable role in an immense range of applications like remote sensing, motion detection, environmental monitoring, medical diagnosis, damage assessment, agricultural surveys, surveillance etc In this paper, a novel method for unsupervised change detection in synthetic aperture radar(SAR) images based on image fusion and kernel K-means clustering is proposed. Here difference image is generated by performing image fusion on mean-ratio and log-ratio image and for fusion discrete wavelet transform is used. On the difference image generated by collecting the information from mean-ratio and log-ratio image kernel Kmeans clustering is performed. In kernel K-means clustering, non-linear clustering is performed, as a result the false alarm rate is reduced and accuracy of the clustering process is enhanced. The aggregation of image fusion and kernel Kmeans clustering is seen to be more effective in detecting the changes than its preexistences.
Novel Evolutionary Lineages Revealed in the Chaetothyriales (Fungi) Based on Multigene Phylogenetic Analyses and Comparison of ITS Secondary Structure

Cyphellophora and Phialophora (Chaetothyriales, Pezizomycota) comprise species known from skin infections of humans and animals and from a variety of environmental sources. These fungi were studied based on the comparison of cultural and morphological features and phylogenetic analyses of five nuclear loci, i.e., internal transcribed spacer rDNA operon (ITS), large and small subunit nuclear ribosomal DNA (nuc28S rDNA, nuc18S rDNA), β-tubulin, DNA replication licensing factor (mcm7) and second largest subunit of RNA polymerase II (rpb2). Phylogenetic results were supported by comparative analysis of ITS1 and ITS2 secondary structure of representatives of the Chaetothyriales and the identification of substitutions among the taxa analyzed. Base pairs with non-conserved, co-evolving nucleotides that maintain base pairing in the RNA transcript and unique evolutionary motifs in the ITS2 that characterize whole clades or individual taxa were mapped on predicted secondary structure models. Morphological characteristics, structural data and phylogenetic analyses of three datasets, i.e., ITS, ITS-β-tubulin and 28S-18S-rpb2-mcm7, define a robust clade containing eight species of Cyphellophora (including the type) and six species of Phialophora. These taxa are now accommodated in the Cyphellophoraceae, a novel evolutionary lineage within the Chaetothyriales. Cyphellophora is emended and expanded to encompass species with both septate and nonseptate conidia formed on discrete, intercalary, terminal or lateral phialides. Six new combinations in Cyphellophora are proposed and a dichotomous key to species accepted in the genus is provided. Cyphellophora eugeniae and C. hylomeconis, which grouped in the Chaetothyriaceae, represent another novel lineage and are introduced as the type species of separate genera.
A subjective assessment of a P300 BCI system for lower-limb rehabilitation purposes

Recent research has shown that a P300 system can be used while walking without requiring any specific gait-related artifact removal techniques. Also, standard EEG-based Brain-Computer Interfaces (BCI) have not been really assessed for lower limb rehabilitation/prosthesis. Therefore, this paper gives a first baseline estimation (for future BCI comparisons) of the subjective and objective performances of a four-state P300 BCI plus a non-control state for lower-limb rehabilitation purposes. To assess usability and workload, the System Usability Scale and the NASA Task Load Index questionnaires were administered to five healthy subjects after performing a real-time treadmill speed control. Results show that the P300 BCI approach could suit fitness and rehabilitation applications, whereas prosthesis control, which suffers from a low reactivity, appears too sensitive for risky and crowded areas.
Genomic Instability in Human Lymphocytes from Male Users of Crack Cocaine

Recent research suggests that crack cocaine use alters systemic biochemical markers, like oxidative damage and inflammation markers, but very few studies have assessed the potential effects of crack cocaine at the cellular level. We assessed genome instability by means of the comet assay and the cytokinesis-block micronucleus technique in crack cocaine users at the time of admission to a rehabilitation clinic and at two times after the beginning of withdrawal. Thirty one active users of crack cocaine and forty control subjects were evaluated. Comparison between controls and crack cocaine users at the first analysis showed significant differences in the rates of DNA damage (p = 0.037). The frequency of micronuclei (MN) (p < 0.001) and nuclear buds (NBUDs) (p < 0.001) was increased, but not the frequency of nucleoplasmic bridges (NPBs) (p = 0.089). DNA damage decreased only after the end of treatment (p < 0.001). Micronuclei frequency did not decrease after treatment, and nuclear buds increased substantially. The results of this study reveal the genotoxic and mutagenic effects of crack cocaine use in human lymphocytes and pave the way for further research on cellular responses and the possible consequences of DNA damage, such as induction of irreversible neurological disease and cancer.
Regulation of transcription initiation at the Escherichia coli nir operon promoter: a new mechanism to account for co‐dependence on two transcription factors

Expression from the Escherichia coli nir promoter is co‐dependent on Fnr (a transcription factor triggered by oxygen starvation) and on NarL or NarP (transcription factors triggered by nitrite and nitrate ions). Fnr binds to a single DNA site centred between basepairs 41 and 42 upstream from the nir transcript start, whereas NarL and NarP bind to a site upstream, centred between basepairs 69 and 70. A novel mechanism to account for co‐dependence on Fnr and NarL/NarP is suggested from experiments in which the spacing between the DNA sites for Fnr and NarL/NarP was altered. DNA sequence elements located upstream of the NarL/NarP‐binding site are the targets for two or more proteins that act to repress Fnr‐dependent activation of the nir promoter. This inhibition is counteracted by NarL or NarP. The model has been corroborated by the effects of several deletions and single base substitutions in the nir promoter upstream sequences: these deletions and substitutions prevent the binding of the repressor proteins. One of these repressors has been identified as the Fis protein, that binds to a site located 135–149 bp upstream of the nir transcript start: the binding of Fis is suppressed by a single base substitution at position −146. The other repressor protein(s) have yet to be identified, but appear to bind downstream of the DNA site for Fis: binding is suppressed by a single base substitution at position −99.
Type VI Secretion System in Pseudomonas aeruginosa

Pseudomonas aeruginosa is a Gram-negative bacterium causing chronic infections in cystic fibrosis patients. Such infections are associated with an active type VI secretion system (T6SS), which consists of about 15 conserved components, including the AAA+ ATPase, ClpV. The T6SS secretes two categories of proteins, VgrG and Hcp. Hcp is structurally similar to a phage tail tube component, whereas VgrG proteins show similarity to the puncturing device at the tip of the phage tube. In P. aeruginosa, three T6SSs are known. The expression of H1-T6SS genes is controlled by the RetS sensor. Here, 10 vgrG genes were identified in the PAO1 genome, among which three are co-regulated with H1-T6SS, namely vgrG1a/b/c. Whereas VgrG1a and VgrG1c were secreted in a ClpV1-dependent manner, secretion of VgrG1b was ClpV1-independent. We show that VgrG1a and VgrG1c form multimers, which confirmed the VgrG model predicting trimers similar to the tail spike. We demonstrate that Hcp1 secretion requires either VgrG1a or VgrG1c, which may act independently to puncture the bacterial envelope and give Hcp1 access to the surface. VgrG1b is not required for Hcp1 secretion. Thus, VgrG1b does not require H1-T6SS for secretion nor does H1-T6SS require VgrG1b for its function. Finally, we show that VgrG proteins are required for secretion of a genuine H1-T6SS substrate, Tse3. Our results demonstrate that VgrG proteins are not only secreted components but are essential for secretion of other T6SS substrates. Overall, we emphasize variability in behavior of three P. aeruginosa VgrGs, suggesting that, although very similar, distinct VgrGs achieve specific functions.