Miracle-dz/UniFAR-FTUs huggingface dataset:
Extraction of informative genes from microarray data

Identification of those genes that might anticipate the clinical behavior of different types of cancers is challenging due to availability of a smaller number of patient samples compared to huge number of genes, and the noisy nature of microarray data. After selection of some good genes based on signal-to-noise ratio, unsupervised learning like clustering and supervised learning like k-nearest neighbor (kNN) classifier are widely used in cancer researches to correlate the pathological behavior of cancers with the gene expression levels' differences in cancerous and normal tissues. By applying adaptive searches like Probabilistic Model Building Genetic Algorithm (PMBGA), it may be possible to get a smaller size gene subset that would classify patient samples more accurately than the above methods. In this paper, we propose a new PMBGA based method to extract informative genes from microarray data using Support Vector Machine (SVM) as a classifier. We apply our method to three microarray data sets and present the experimental results. Our method with SVM obtains encouraging results on those data sets as compared with the rank based method using kNN as a classifier.
Zero-Shot Learning with Fuzzy Attribute

As the zero-shot problem was proposed in machine learning field, attributes became the key point to solve zero-shot problems. The wildly used binary attribute in zero-shot learning has many limitations, and many researches had made an improvement on it. In this paper, we propose fuzzy attributes, which can describe objects better than binary attributes. We design a classifier to train the fuzzy attributes, and also consider the distance affect attribute in feature space. At last, we take experiment on AwA dataset, and the experimental results shows the fuzzy attribute can play a better performance than binary attributes in zero-shot learning.
University of Huddersfield Repository Automatic Text Summarization Using Fuzzy Inference

—Due to the high volume of information and electronic documents on the Web, it is almost impossible for a human to study, research and analyze this volume of text. Summarizing the main idea and the major concept of the context enables the humans to read the summary of a large volume of text quickly and decide whether to further dig into details. Most of the existing summarization approaches have applied probability and statistics based techniques. But these approaches cannot achieve high accuracy. We observe that attention to the concept and the meaning of the context could greatly improve summarization accuracy, and due to the uncertainty that exists in the summarization methods, we simulate human like methods by integrating fuzzy logic with traditional statistical approaches in this study. The results of this study indicate that our approach can deal with uncertainty and achieve better results when compared with existing methods.
Using voice suppression algorithms to improve beat tracking in the presence of highly predominant vocals

Beat tracking estimation from music signals becomes difficult in the presence of highly predominant vocals. We compare the performance of five state-of-the-art algorithms on two datasets, a generic annotated collection and a dataset comprised of song excerpts with highly predominant vocals. Then, we use seven state-of-the-art audio voice suppression techniques and a simple low pass filter to improve beat tracking estimations in the later case. Finally, we evaluate all the pairwise combinations between beat tracking and voice suppression methods. We confirm our hypothesis that voice suppression improves the mean performance of beat trackers for the predominant vocal collection.
Using a Self Organizing Feature Map for Extracting Representative Web Pages from a Web Site

We introduce a method for improving the web site content through the identification of their most representative web pages. The process begin with the transformation of the web page text content in feature vectors by using the vector space model for documents. Next a Self Organizing Feature Map (SOFM) receive these vectors as input, generating a set of clusters, whose centroids contain the most representative text content for a topic in the site. In the web page's vectorial representation, the text content is transformed in a set of numeric values. Then by operation of the SOFM, the cluster's content are vectors whose relation with the web site pages is not clear. By applying a Reverse Cluster Analysis (RCA), it is possible to identify which pages are rep- resented in each cluster. The RCA consists in the comparison among the vectors in each clusters with the page's vector repre- sentation. Next the pages whose vectorial representation is near to the cluster's centroid, are extracted. This approach was tested in a real web site in order to shows its effectiveness. The results indicate that it is possible to identify representative web page in a web site and for this way, improve the site's text content.
Single-phase and two-phase hybrid cooling schemes for high-heat-flux thermal management of defense electronics

This study examines the cooling performance of two hybrid cooling schemes that capitalize upon the merits of both micro-channel flow and jet impingement to achieve the high cooling fluxes and uniform temperatures demanded by advanced defense electronics. The jets supply HFE 7100 liquid coolant gradually into each micro-channel. The cooling performances of two different jet configurations, a series of circular jets and a single slot jet, are examined both numerically and experimentally. The single-phase performances of both configurations are accurately predicted using 3D numerical simulation. Numerical results point to complex interactions between the jets and the micro-channel flow, and superior cooling performance is achieved by optimal selection of micro-channel height. The two-phase cooling performance of the circular jet configuration is found superior to that of the slot jet, especially in terms of high-flux heat dissipation. Unprecedented cooling fluxes as high as 1,127 W/cm2 are achieved with the circular jets without incurring CHF.
Probabilistic Roadmaps for Robot Path Planning

The ProbabilisticRoadMap planner (PRM) has been applied with success to multiple planning problems involving robots with 3 to 16 degrees of freedom (dof) operating in known static environments. This paper describes the planner and reports on experimental and theoretical results related to its performance. PRM computation consists of a preprocessing and a query phase. Preprocessing, which is done only once for a given environment, generates a roadmap of randomly, but properly selected, collision-free configurations (nodes). Planning then connects any given initial and final configurations of the robot to two nodes of the roadmap and computes a path through the roadmap between these two nodes. The planner is able to find paths involving robots with 10 dof in a fraction of a second after relatively short times for preprocessing (a few dozen seconds). Theoretical analysis of the PRM algorithm provides bounds on the number of roadmap nodes needed for solving planning problems in spaces with certain geometric properties. A number of theoretical results are presented in this paper under a unified framework.
Field vs. Laboratory Polymer-Retention Values for a Polymer Flood in the Tambaredjo Field

During a polymer flood, polymer retention can have a major impact on the rate of polymer propagation through a reservoir, and consequently on oil recovery. A review of the polymer-retention literature revealed that iron and high-surface-area minerals (e.g., clays) dominate polymer-retention measurements in permeable rock and sand (>100 md). A review of the literature on inaccessible pore volume (IAPV) revealed inconsistent and unexplained behavior. A conservative approach to design of a polymer flood in high-permeability (>1 darcy) sands would assume that IAPV is zero. Laboratory measurements using fluids and sands associated with the Sarah Maria polymer flood in Suriname suggested polymer retention and IAPV values near zero [0620 lg/g for retention and 0610% pore volume (PV) for IAPV]. A procedure was developed using salinity-tracer and polymer concentrations from production wells to estimate polymer retention during the Sarah Maria polymer flood in the Tambaredjo reservoir. Field calculations indicated much higher polymer-retention values than those from laboratory tests, typically ranging from approximately 50 to 250 lg/g. Field cores necessarily represent an extremely small fraction of the reservoir. Because of the importance of polymer retention, there is considerable value in deriving polymer retention from field results, so that information can be used in the design of project expansions.
Aphid Resistance in Medicago truncatula Involves Antixenosis and Phloem-Specific, Inducible Antibiosis, and Maps to a Single Locus Flanked by NBS-LRR Resistance Gene Analogs1

Aphids and related insects feed from a single cell type in plants: the phloem sieve element. Genetic resistance to Acyrthosiphon kondoi Shinji (bluegreen aphid or blue alfalfa aphid) has been identified in Medicago truncatula Gaert. (barrel medic) and backcrossed into susceptible cultivars. The status of M. truncatula as a model legume allows an in-depth study of defense against this aphid at physiological, biochemical, and molecular levels. In this study, two closely related resistant and susceptible genotypes were used to characterize the aphid-resistance phenotype. Resistance conditions antixenosis since migratory aphids were deterred from settling on resistant plants within 6 h of release, preferring to settle on susceptible plants. Analysis of feeding behavior revealed the trait affects A. kondoi at the level of the phloem sieve element. Aphid reproduction on excised shoots demonstrated that resistance requires an intact plant. Antibiosis against A. kondoi is enhanced by prior infestation, indicating induction of this phloem-specific defense. Resistance segregates as a single dominant gene, AKR (Acyrthosiphon kondoi resistance), in two mapping populations, which have been used to map the locus to a region flanked by resistance gene analogs predicted to encode the CC-NBS-LRR subfamily of resistance proteins. This work provides the basis for future molecular analysis of defense against phloem parasitism in a plant model system.
Draft Genome Sequence of an Extensively Drug-Resistant Acinetobacter baumannii Indigo-Pigmented Strain

ABSTRACT Last year in 2013, we reported an outbreak due to indigo-pigmented Acinetobacter baumannii strains in a hospital from Buenos Aires, Argentina. Here, we present the draft genome sequence of one of the strains (A. baumannii A33405) involved in the outbreak. This isolate was categorized as extensively drug-resistant (XDR) and harbors different genetic elements associated with horizontal genetic transfer and multiple antibiotic resistances.
Brain-computer interfacing in discriminative and stationary subspaces

The non-stationary nature of neurophysiological measurements, e.g. EEG, makes classification of motion intentions a demanding task. Variations in the underlying brain processes often lead to significant and unexpected changes in the feature distribution resulting in decreased classification accuracy in Brain Computer Interfacing (BCI). Several methods were developed to tackle this problem by either adapting to these changes or extracting features that are invariant. Recently, a method called Stationary Subspace Analysis (SSA) was proposed and applied to BCI data. It diminishes the influence of non-stationary changes as learning and classification is performed in a stationary subspace of the data which can be extracted by SSA. In this paper we extend this method in two ways. First we propose a variant of SSA that allows to extract stationary subspaces from labeled data without disregarding class-related variations or treating class-differences as non-stationarities. Second we propose a discriminant variant of SSA that trades-off stationarity and discriminativity, thus it allows to extract stationary subspaces without losing relevant information. We show that learning in a discriminative and stationary subspace is advantageous for BCI application and outperforms the standard SSA method.
Feedback message passing for inference in gaussian graphical models

For Gaussian graphical models with cycles, loopy belief propagation often performs reasonably well, but its convergence is not guaranteed and the computation of variances is generally incorrect. In this paper, we identify a set of special vertices called a feedback vertex set whose removal results in a cycle-free graph. We propose a feedback message passing algorithm in which non-feedback nodes send out one set of messages while the feedback nodes use a different message update scheme. Exact inference results can be obtained in O(k2n), where k is the number of feedback nodes and n is the total number of nodes. For graphs with large feedback vertex sets, we describe a tractable approximate feedback message passing algorithm. Experimental results show that this procedure converges more often, faster, and provides better results than loopy belief propagation.
Enhancement of ventricular gap-junction coupling by rotigaptide.

AIMS Rotigaptide is proposed to exert its anti-arrhythmic effects by improving myocardial gap-junction communication. To directly investigate the mechanisms of rotigaptide action, we treated cultured neonatal murine ventricular cardiomyocytes with clinical pharmacological doses of rotigaptide and directly determined its effects on gap-junctional currents. METHODS AND RESULTS Neonatal murine ventricular cardiomyocytes were enzymatically isolated and cultured for 1-4 days. Primary culture cell pairs were subjected to dual whole cell patch-clamp procedures to directly measure gap-junctional currents (I(j)) and voltage (V(j)). Rotigaptide (0-350 nM) was applied overnight or acutely perfused into 35 mm culture dishes. Rotigaptide (35-100 nM) acutely and chronically increased the resting gap-junction conductance (g(j)), and normalized steady-state minimum g(j) (G(min)) by 5-20%. Higher concentrations produced a diminishing response, which mimics the observed therapeutic efficacy of the drug. The inactivation kinetics was similarly slowed in a therapeutic concentration-dependent manner without affecting the V(j) dependence of inactivation or recovery. The effects of 0-100 nM rotigaptide on ventricular g(j) during cardiac action potential propagation were accurately modelled by computer simulations which demonstrate that clinically effective concentrations of rotigaptide can partially reverse conduction slowing due to decreases in g(j) and inactivation. CONCLUSION These results demonstrate that therapeutic concentrations of rotigaptide increase the resting gap-junction conductance and reduce the magnitude and kinetics of steady-state inactivation in a concentration-dependent manner. Rotigaptide may be effective in treating re-entrant forms of cardiac arrhythmias by improving conduction and preventing the formation of re-entrant circuits in partially uncoupled myocardium.
SAGE: Whitebox Fuzzing for Security Testing

Most ACM Queue readers might think of "program verification research" as mostly theoretical with little impact on the world at large. Think again. If you are reading these lines on a PC running some form of Windows (like 93-plus percent of PC users--that is, more than a billion people), then you have been affected by this line of work--without knowing it, which is precisely the way we want it to be.
Academic learning for sport management students : learning through engaged practice

Sport management students seek employment in an overtly competitive market place. Competition is heightened because of the perceived desirability of sport as a workplace. Students require degree level qualifications and industry experience together with a host of generic and specific skills in order to be workplace ready. For this reason, student work placement is seen to be a necessary component of Sport management degree programs. This paper identifies placement outcomes and perceived value from the student perspective. Sport management students engaged in personal reflective practice throughout their work placement. Reflections were analyzed, demonstrating support for teaching through practice. Further, it provides a framework for curriculum development and best practice methodology. (Asia-Pacific Journal of Cooperative Education, 2007, 8(1), 53-65).
Using dynamic analysis to create trace-focused user interfaces for IDEs

This research demonstration presents the tool, Dynamic Interactive Views for Reverse Engineering (Diver). Diver supports software understanding through a trace focused user interface. The trace focused user interface is a method of re-organizing the user interface of integrated development environments so that developers can focus their attention on artifacts related to the run-time behaviour of the software that they are investigating. The tool combines concepts from research in software visualization, dynamic analysis, software reconnaissance, and task focused user interfaces.
Dynamics of novel feet of Dictyostelium cells during migration

We observed the dynamics of actin foci in live Dictyostelium cells expressing GFP-actin. Actin foci were dynamic structures, but they were fixed on the substratum during cell migration. Interference reflection microscopy revealed that the ventral cell membrane was closer to the substratum at sites of actin foci. Furthermore, some actin foci were incorporated into the retraction fibers, ripped off from the cells and eventually shed on the substratum after the cells moved away. The velocity of the cells was inversely proportional to the number of actin foci. Measurement of traction force using a silicone substratum demonstrated that the traction force was transmitted to the substratum through actin foci. Taken together, several lines of evidence strongly suggest that actin foci function as the active `feet' of Dictyostelium cells. We also found evidence suggesting that changing step is regulated in a coordinated manner during cell migration. Possible mechanisms by which these cells migrate across substrata are discussed in this context.
An Extensive Evaluation of Decision Tree–Based Hierarchical Multilabel Classification Methods and Performance Measures

Hierarchical multilabel classification is a complex classification problem where an instance can be assigned to more than one class simultaneously, and these classes are hierarchically organized with superclasses and subclasses, that is, an instance can be classified as belonging to more than one path in the hierarchical structure. This article experimentally analyses the behavior of different decision tree–based hierarchical multilabel classification methods based on the local and global classification approaches. The approaches are compared using distinct hierarchy‐based and distance‐based evaluation measures, when they are applied to a variation of real multilabel and hierarchical datasets' characteristics. Also, the different evaluation measures investigated are compared according to their degrees of consistency, discriminancy, and indifferency. As a result of the experimental analysis, we recommend the use of the global classification approach and suggest the use of the Hierarchical Precision and Hierarchical Recall evaluation measures.
Travel for Meaning: The Present and Future of Tourist Wellbeing

The relationship between tourism and wellbeing is becoming one of the focus issues in current tourism study. It is significant in theoretical and practical fields. Through analyzing the existing researches, the paper found out existing studies focus on the different impacts of tourism activities on happiness, but there are many inconsistent conclusions in existing studies. Some studies focused on "pleasure" (hedonic) level of wellbeing which lacking a deeper exploration of happiness, such as "eudamonia" level of wellbeing. Moreover, there was evident inconsistency in understanding and defining what is tourist wellbeing. Furthermore, the existing studies did not examine tourists' wellbeing from tourist experience, which is the important outcome variables, and ignored the experience of diversity and dynamism. On the basis, this paper presented future research directions and ideas.
PIBE: Manage Your Images the Way You Want!

A customizable system for image browsing, named PIBE, is proposed. In details, PIBE provides the user with a set of browsing and personalization facilities that enable an effective and efficient exploration of the image collection. The approach is novel and appealing because: 1) the personalization actions over the hierarchical organization of images are local, 2) the storage of the browsing structure is persistent, and 3) the provided GUI makes browsing and personalization facilities extremely intuitive and "easy-to-use".
Sensitive Assay for Carvedilol in Tablets and Spiked Human Plasma Using a Flow-Injection Chemiluminometric Method

A simple and sensitive chemiluminometric method using flow injection (FI) is developed for the determination of carvedilol, based on the reaction of carvedilol with tris (2, 2’-bipyridyl) ruthenium (II), and KMnO4 in sulfuric acid medium. Under the optimum conditions; the chemiluminescence (CL) intensity is a linear function of carvedilol concentration over the range of 0.04–1.0 µg ml-1 (9.8 × 10-8 - 2.5 × 10-6 mol L-1) with a detection limit (S/N=3) of 0.025 µgml-1 (6.2 × 10-8 mol L-1). The relative standard deviation of the proposed method calculated from 10 replicate injections of 0.4 µg ml-1 carvedilol is 0.95%. The sample throughput is 90 samples h-1. The method is applied successfully to the determination of carvedilol in tablets dosage form and spiked human plasma.
Lumbar epidural anesthesia for operative and postoperative pain relief in infants and young children.

General anesthesia is the standard for surgical procedures in infants and young children. Caudal anesthesia is a suitable alternative for urologic and lower abdominal surgery (1,2,3). Orthopedic procedures on the lower limbs would also benefit from epidural anesthesia, but the caudal route might prove hazardous in pediatric patients because of the amounts of local anesthetics necessary to ensure satisfactory motor and sensory blockade. As in adults, lumbar epidural would be more appropriate, but most equipment for epidural anesthesia cannot be used in small children. In the belief that epidural anesthesia in selected pediatric cases might prove useful 1) in reducing the level of general anesthesia and subsequently the loss of the airway, especially in children with severe respiratory disease, and 2) in improving the postoperative management of pain relief, we selected smaller equipment, including a 20-gauge 3/64 Potts-CournandR needle, and undertook a prospective study of lumbar epidural analgesia in young children undergoing orthopedic procedures on the pelvis or the lower extremities and in some cases both the pelvis and lower extremities. On the basis of previous reports (4,5,6), we compared the sensory and motor blocks produced by a mixture of lidocaine and bupivacaine with those produced by a mixture of etidocaine and bupivacaine. We also evaluated the postoperative pain relief produced by these mixtures alone and with the addition of morphine (7,8).
Isolation of High-Purity Extracellular Vesicles by Extracting Proteins Using Aqueous Two-Phase System

We present a simple and rapid method to isolate extracellular vesicles (EVs) by using a polyethylene glycol/dextran aqueous two-phase system (ATPS). This system isolated more than ~75% of melanoma-derived EVs from a mixture of EVs and serum proteins. To increase the purity of EVs, a batch procedure was combined as additional steps to remove protein contaminants, and removed more than ~95% of the protein contaminants. We also performed RT-PCR and western blotting to verify the diagnostic applicability of the isolated EVs, and detected mRNA derived from melanoma cells and CD81 in isolated EVs.