Miracle-dz/UniFAR-FTUs huggingface dataset:
MicroRNA-125a-3p is involved in early behavioral disorders in stroke-afflicted rats through the regulation of Cadm2

Ischemic strokes carry a significant risk of mortality and recurrent vascular events. Recent studies suggest that changes in microRNAs (miRNAs or miRs) may affect the development of the stroke. However, few studies have investigated the role of miRNAs in behavioral disorder in early stroke. In the present study, animal models of middle cerebral artery occlusion (MCAO) are used, as well as a cell model of neurite outgrowth to further investigate the role of miRNAs in targeting synapse-associated proteins expression in early stroke. The authors used miRNA expression microarrays on RNA extracted from the cortex tissue samples from the rats of MCAO and control rats. Reverse transcription-quantitative polymerase chain reaction was conducted to verify the candidate miRNAs discovered by microarray analysis. Data indicated that miR-125a was significantly increased in the cortex of the model of MCAO, which were concomitant with that rats of MCAO at the same age displayed significant behavioral deficits. Bioinformatics analysis predicted the cell adhesion molecule 2 (Cadm2, mRNA) neurite outgrowth-associated protein is targeted by miR-125a. Overexpression of miR-125a reduced the level of Cadm2 expression in PC12 cell injury induced by free-serum. In contrast, inhibition of miR-125a using miR-125a inhibitors significantly resulted in higher levels of Cadm2 expression. In conclusion, miR-125a is involved in the behavioral disorder of animal models of MCAO by regulation of Cadm2.
A distributed approach for access and visibility task with a manikin and a robot in a virtual reality environment

This paper presents a new method, based on a multi-agent system and on a digital mock-up technology, to assess an efficient path planner for a manikin or a robot for an access and visibility task taking into account ergonomic constraints or joint and mechanical limits. In order to solve this problem, the human operator is integrated in the process optimization to contribute to a global perception of the environment. This operator cooperates, in real time, with several automatic local elementary agents. The result of this work validates solutions through the digital mock-up; it can be applied to simulate maintainability and mountability tasks.
Draft Genome Sequence of Streptomyces incarnatus NRRL8089, which Produces the Nucleoside Antibiotic Sinefungin

ABSTRACT A draft genome sequence of Streptomyces incarnatus NRRL8089, which produces the nucleoside antibiotic sinefungin, is described here. The genome contains 8,897,465 bp in 76 contigs and 8,266 predicted genes. Interestingly, the genome encodes an open reading frame for selenocysteine-containing formate dehydrogenase-O and the selenoprotein biosynthetic gene cluster selABCD.
Mitochondrial DNA phylogeography of Acrossocheilus paradoxus (Cyprinidae) in Taiwan

Nucleotide sequences of 3′ end of the cytochrome b gene, tRNA genes, D‐loop control region, and the 5′ end of the 12S rRNA of mitochondrial DNA (mtDNA) were used to assess the genetic and phylogeographic structure of Acrossocheilus paradoxus populations, a Cyprinidae fish of Taiwan. A hierarchical examination of populations in 12 major streams from three geographical regions using an analysis of molecular variance ( amova) indicates high genetic differentiation both among populations (ΦST = 0.511, P < 0.001) and among regions (ΦCT = 0.368, P < 0.001). Limited migration largely contributed to the genetic differentiation. High nucleotide diversity (1.13%) and haplotype diversity (0.80%) were detected among populations. The degree of genetic differentiation was correlated with geographical distance between populations, a result consistent with the one‐dimensional stepping stone models. A neighbour‐joining tree recovered by ( dambe) supports the pattern of isolation by distance and reveals a closer relationship between populations of the central and southern regions. A minimum spanning network based on nucleotide substitutions reflected migration routes from populations of the central region to the northern and southern regions, respectively. Postglacial colonization and expansion can explain the phylogeographical pattern. Single and ancient migration events may have allowed the northern region to attain the monophyly of mtDNA alleles. In contrast, most populations within geographical regions are either paraphyletic or polyphyletic due to the relatively shorter time period for coalescence. Both low haplotype number and genetic variability suggest a bottleneck event in the Chingmei population of northern Taiwan. Based on coalescence theory, the monophyly of the Tungkang population of the southern region may be associated with a founder event.
Application of Denatured, Electrophoretically Separated, and Immobilized Lysates of Herpes Simplex Virus-Infected Cells for Detection of Monoclonal Antibodies and for Studies of the Properties of Viral Proteins

We report the use of herpes simplex virus type 1 (HSV-1)- and HSV-2-infected cell polypeptides (ICPs) separated by electrophoresis in polyacrylamide gels and transferred to nitrocellulose to (i) detect monoclonal antibodies to viral polypeptides and to (ii) study the properties of the proteins with the monoclonal antibodies. Our results were as follows. (i) When the antigens were electrophoretically separated in denaturing gels and then immobilized on nitrocellulose strips, we detected a greater diversity of monoclonal antibodies to viral proteins than when we used the technique of immune precipitation of soluble, nondenatured viral antigens. The primary advantage of the technique is in the detection of nonprecipitating antibody and of antibody to poorly soluble antigens not available for reaction in preparations cleared by high-speed centrifugation before immune reaction. (ii) Studies of the viral polypeptides reactive with three monoclonal antibodies indicated that the technique can be used to investigate several properties of the antigens. Specifically, monoclonal antibody to ICP 4 confirmed the accumulation of viral protein in the nucleus and the mapping of the gene in the S component. The results showed, however, that HSV-1 and HSV-2 ICP 4 do have common antigenic determinants. The reaction of a nonprecipitating monoclonal antibody with electrophoretically separated, immobilized polypeptides contained in cytoplasmic and nuclear fractions, those chemically deglycosylated, or those specified by specific HSV-1 x HSV-2 intertypic recombinants identified the antigens reactive with the second monoclonal antibody as various forms of glycoprotein gC. Of particular interest was a set of four antigens, 39,000 to 46,500 in apparent molecular weight, reactive with each of several monoclonal antibodies. These studies showed that two polypeptides partition in the cytoplasm and two in the nucleus and that all comap with the previously mapped ICPs 35 and 37 in the region of the genome defined by the viral thymidine kinase gene on the left and the glycoprotein gA/B gene on the right. Unlike ICP 4 and gC, the four polypeptides are linked by intermolecular bisulfide bonds, inasmuch as the polypeptides were not at the expected locations upon denaturation and electrophoresis in the absence of reducing agents.
Eurographics Symposium on Rendering (2004) All-frequency Relighting of Non-diffuse Objects Using Separable Brdf Approximation

This paper presents a technique, based on pre-computed light transport and separable BRDF approximation, for interactive rendering of non-diffuse objects under all-frequency environment illumination. Existing techniques using spherical harmonics to represent environment maps and transport functions are limited to low-frequency light transport effects. Non-linear wavelet lighting approximation is able to capture all-frequency illumination and shadows for geometry relighting, but interactive rendering is currently limited to diffuse objects. Our work extends the wavelet-based approach to relighting of non-diffuse objects. We factorize the BRDF using separable decomposition and keep only a few low-order approximation terms, each consisting of a 2D light map paired with a 2D view map. We then pre-compute light transport matrices corresponding to each BRDF light map, and compress the data with a non-linear wavelet approximation. We use modern graphics hardware to accelerate pre-computation. At run-time, a sparse light vector is multiplied by the sparse transport matrix at each vertex, and the results are further combined with texture lookups of the view direction into the BRDF view maps to produce view-dependent color. Using our technique, we demonstrate rendering of objects with several non-diffuse BRDFs under all-frequency, dynamic environment lighting at interactive rates.
An Electrostatic Discharge Protection Circuit Technique for the Mitigation of Single-Event Transients in SiGe BiCMOS Technology

The impact of electrostatic discharge (ESD) protection circuits on the single-event transients (SETs) of RF building blocks in a 130-nm SiGe BiCMOS (8HP) platform is investigated. For proof-of-concept that SET mitigation can be accomplished through the use of an ESD protection circuit, a single-pole single-throw (SPST) switch was implemented using triple-well nFETs. For substrate noise coupling suppression, a P<sup>+</sup>, P<sup>−</sup> substrate (Psub) and N-well guard ring structures were applied. According to two-photon absorption laser experiment results, the SPST switch with ESD protection exhibits the smallest transient peaks at the RF input/output and <inline-formula> <tex-math notation="LaTeX">$\text{V}_{\mathrm {\mathbf {DD}}}$ </tex-math></inline-formula> ESD terminals. Based on these results, an SET mitigation strategy is proposed while maintaining the optimal circuit performance.
Association rule mining using a multi-objective grammar-based ant programming algorithm

This paper presents a method for extracting association rules by means of a multi-objective grammar guided ant programming algorithm. Solution construction is guided by a context-free grammar specifically suited for association rule mining, which defines the search space of all possible expressions or programs. Evaluation of individuals is considered from a Pareto-based point of view, measuring support and confidence of rules mined, and assigning them a ranking fitness. The proposed algorithm is verified over 10 varied data sets and compared to other association rule mining algorithms from several paradigms such as exhaustive search, genetic algorithms and genetic programming, showing that ant programming is a good technique at addressing the association task of data mining as well.
Morphological personalization of a physiological articulatory model

A physiological articulatory model is capable of simulating movements of the articulatory organs together with their morphology, without limitation of the observation approaches and ethics. The model can be a tool for investigating an aspect of individual characteristics of speech, if it is adjusted to the form a particular speaker's organs. This study reports our effort to personalize an articulatory model to multiple speakers. To do so, we propose a method for constructing personalized articulatory models based on the adaptation of a prototype model by transformation. Accordingly, new models were built for three speakers, which successfully reflected their morphological features. Also, the models were found to be able to simulate typical tongue movements in the same way as the prototype model performed.
Anthropometric indices as predictors of the metabolic syndrome and its components in adolescents

Background: Overweight and related health problems are becoming increasingly recognized, especially in children and adolescents. For early screening, different anthropometrical measurements of obesity have been proposed to identify individuals at risk. We compared body mass index (BMI), BMI standard deviation score, waist circumference, waist‐to‐hip ratio (WHR), and waist/height ratio with respect to their power to predict the metabolic syndrome, its components and low‐grade inflammation.
Chameleon: Adaptive Peer-to-Peer Streaming with Network Coding

Layered streaming can be used to adapt to the available download capacity of an end-user, and such adaptation is very much required in real world HTTP media streaming. The multiple layer codec has become more refined, as SVC (the scalable extension of the H.264/AVC standard) has been standardized with a bit rate overhead of around 10% and an indistinguishable visual quality, compared to the state of the art single layer codec. Peer-to-peer streaming systems have also become the reality. The important question is how such layered coding can be used in real world peer-to-peer streaming systems. This paper tries to explore the feasibility of using network coding to make layered peer-to-peer streaming much more realistic, by combining network coding and SVC in a fine granularity manner. We present Chameleon, our new peer-to-peer streaming algorithm designed to incorporate network coding seamlessly with SVC. Key components with different design options of Chameleon are presented and experimentally evaluated, with the objective of investigating benefits of network coding in combination with SVC. We carry out extensive experiments on real stream data to (i) evaluate the performance of Chameleon in terms of playback skips and delivered video quality, and (ii) understand its insights. Our results demonstrate the feasibility of the approach and bring us one step closer to real adaptive peer-to-peer streaming.
Violence and substance use among an injured emergency department population.

OBJECTIVES This study evaluated a sample of emergency department (ED) patients for history of violence and substance abuse. METHODS Injured patients (n = 320) completed questionnaires (14% refusal rate) during a visit to a Level 1 urban ED after an acute injury. Specific questions were asked regarding whether the injury was related to acute violence (AV), whether there was past-year violence history (VH), including violence victimization and perpetration in both partner and nonpartner relationships, as well as any substance use in the past month and any substance-related consequences in the past year. RESULTS Fourteen percent of the participants presented with an AV-related injury, and 53% reported VH. Most AV patients (89%) reported VH. No significant differences were found between the participants with AV and VH in demographic, substance use, or substance-related consequences. The AV and VH groups were combined (V), with analyses comparing these participants with those without AV and VH. Men were significantly more likely than women to report V (odds ratio = 2.0). V was significantly related to substance use and substance-related consequences. For example, in comparison with the participants reporting no alcohol or drug use, those reporting illicit drug use were 6.2 times as likely to report V, and those drinking any alcohol only were 2.0 times as likely to report V. CONCLUSIONS A large percentage of injured patients in this urban ED experienced violence in the past year. Alcohol and illicit drugs appear to be concomitant with violence.
A Semi-supervised Incremental Learning Algorithm Based on Auto-adaptive Probabilistic Hypergraph and Its Application for Video Semantic Detection

Semantic categorization of complex videos is an ambiguous task. The semi-supervised learning method, which is based on hyper graph model, can achieve multi-semantics labels, but it is sensitive to the radius parameter when a hyper graph model is constructed and the number of vertices belonging to a hyper edge is fixed. A new method is proposed in this paper to construct an auto-adaptive probabilistic hyper graph (ada-PHGraph) model, where a formula is presented as a measurement to auto-adaptively decide whether a vertex is belonged to a hyper edge or not. Our proposed algorithm has high robustness and can overcome the defect of fixed number of vertices belonging to the same hyper edge in the traditional probabilistic hyper graph model. In addition, a pre-defined threshold is used to judge whether the model learning result for unlabeled samples has high certainty and can been included in the model. The auto-adaptive probabilistic hyper graph model can achieve the dynamic updates effectively when the number of samples increases by applying the incremental learning mechanism. Our experimental results have shown that the auto-adaptive probabilistic hyper graph model can improve the model generalization ability and utilize the unlabeled samples effectively.
A Framework to Provide Anonymity in Reputation Systems

In ubiquitous networks, the multiple devices carried by an user may unintentionally expose information about her habits or preferences. This information leakage can compromise the users' right to privacy. A common approach to increase privacy is to hide the user real identity under a pseudonym. Unfortunately, pseudonyms may interfere with the reputation systems that are often used to assert the reliability of the information provided by the participants in the network. This paper presents a framework for combining anonymity with reputation and shows that it can be configured to provide a desired degree of balance between these two conflicting goals. The proposed solution leverages on well-known cryptographic techniques, such as public key infrastructure and blind signatures
Log-based personalization: the 4th web search click data (WSCD) workshop

WSCD 2014 is the fourth workshop on Web Search Click Data, following WSCD 2009, WSCD 2011 and WSCD 2012. It is a forum for new research relating to Web search usage logs and for discussing desirable properties of publicly released search log datasets. Research relating to search logs has been hampered by the limited availability of click datasets. This series of workshops comes with new datasets based on logged user search behaviour and accompanying data mining challenges. This year the challenge and the workshop are focused on the tasks of personalization using logs.
Message Communications And Channel State Estimation For State Dependent Channels

In this paper, we consider the problem of pure information transmission and channel state estimation via state dependent channels. We show that the knowledge of auxiliary random variable, used in the codebook construction of random binning techniques, is sufficient to perform the optimal channel state estimation. We compare the obtained results with optimal rate-distortion region obtained using more involved coding strategies based on hybrid random binning and uncoded transmission. This analysis is performed for the generalized Gel’fand-Pinsker formulation and Gaussian Costa setup.
GeneSeeker :

The identification of genes underlying human genetic disorders requires the combination of data related to cytogenetic localization, phenotypes and expression patterns, to generate a list of candidate genes. In the field of human genetics, it is normal to perform this combination analysis by hand. We report on GeneSeeker (http://www.cmbi.ru.nl/GeneSeeker/), a web server that gathers and combines data from a series of databases. All database searches are performed via the web interfaces provided with the original databases, guaranteeing that the most recent data are queried,andobviatingdatawarehousing.GeneSeeker makes the same selection of candidate genes as the human geneticists would have performed, and thus reducing the time-consuming process to a few minutes. GeneSeeker is particularly well suited for syndromes in which the disease gene displays altered expression patterns in the affected tissue(s).
Iterative compilation in a non-linear optimisation space

This paper investigates the applicability of iterative search techniques in program optimisation. Iterative compilation is usually considered too expensive for general purpose computing but is applicable to embedded applications where the cost is easily amortised over the number of embedded systems produced. This paper presents a case study, where an iterative search algorithm is used to investigate a nonlinear transformation space and find the fastest execution time within a fixed number of evaluations. By using execution time as feedback, it searches a large but restricted transformation space and shows performance improvement over existing approaches. We showthat in the case of large transformation spaces, we can achieve within 0.3% of the best possible time by visiting less then 0.25% of the space using a simple algorithm and find the minimum after visiting less than 1% of the space.
Procedural and interactional justice perceptions and teamwork quality

Purpose – This paper aims to understand the role of organizational justice (procedural and interactional justice) as a precursor to new product development teamwork quality and team performance; to study the moderating impact of environmental turbulence on these relationships.Design/methodology/approach – This is a survey‐based empirical study of 117 product/project managers based in Ankara and Istanbul, Turkey. A series of multiple regression analyses were used to obtain results.Findings – Only two of the six facets of teamwork quality (coordination and balance of member contribution) are significantly associated with interactional justice; all six facets (coordination, balance of member contribution, communication, mutual support, effort and cohesion) are associated with procedural justice. Teamwork quality is significantly related to team learning and speed to market; environmental turbulence partially moderates these relationships.Research limitations/implications – Perceived organizational justice is.
Characteristics of Transmitted Drug-Resistant HIV-1 in Recently Infected Treatment-Naive Patients in Japan

Objectives:Progress in antiretroviral treatment has led to fewer virological failure cases, but 10%–20% of treatment-naive HIV/AIDS cases are reported to harbor drug-resistant strains, suggesting transmission of drug-resistant HIV. We aimed to determine the trend in prevalence of transmitted drug-resistant (TDR) HIV in Japan, particularly in recently infected patients. Methods:Drug-resistance test was performed on 3904 HIV-1–infected cases newly diagnosed between 2007 and 2012. The number of cases infected within 6 months [recent seroconverters (RS)] was estimated by BED assay of 2700 plasma samples. Characteristics of RS cases were further analyzed. Results:The overall prevalence of TDR was 9.1%, ranging from 7.3% in 2008% to 12.5% in 2010. Among 1403 subtype B/E/D cases with >50 CD4+ T cell counts and >1000 HIV copies per milliliter, 468 (33.4%) were estimated to be RS. The prevalence of RS was significantly higher among cases who were male, Japanese, and men who have sex with men. The prevalence of TDR did not differ significantly between recent and long-term seroconverters (8.5% vs. 9.2%, respectively, P = 0.68). Common mutations in both groups were M46I/L and T215 revertants. Furthermore, sequences with these mutations, K103N and D30N/N88D formed clusters on phylogenetic trees. Conclusion:Our study clarified an increase in prevalence of TDR in Japan from 2007 to 2012. The phylogenetic clustering of cases with M46I/L or T215 revertants suggests that HIV with these mutations have become circulating strains. Furthermore, detailed analyses showed that Japanese men who have sex with men are more aware of their risk of HIV infection.