Miracle-dz/UniFAR-FTUs huggingface dataset:
Polynomial-Delay and Polynomial-Space Algorithms for Mining Closed Sequences, Graphs, and Pictures in Accessible Set Systems

In this paper, we study efficient closed pattern mining in a general framework of set systems, which are fam- ilies of subsets ordered by set-inclusion with a certain structure, proposed by Boley, Horvath, Poigne, Wrobel (PKDD'07 and MLG'07). By modeling semi-structured data such as sequences, graphs, and pictures in a set sys- tem, we systematically study efficient mining of closed patterns. For a class of accessible set systems with a tree-like structure, we present an efficient depth-first search algorithm that finds all closed sets in accessi- ble set systems without duplicates in polynomial-delay and polynomial-space w.r. t. the total input size using efficient oracles for the membership test and the clo- sure computation for the pattern class. From the above results, we show that the closed pattern mining prob- lems are efficiently solvable both in time and space for the following classes: convex hulls, picture patterns in 2-D planes, maximal bi-cliques, closed relational graphs, closed patterns for rigid motifs with wildcards.
Demonstration of interference cancellation in a multiple-user access OFDM MIMO Radar-Communication network using USRPs

It is well known that OFDM-based systems are susceptible and weak towards subcarrier misalignment, which can lead to erroneous demodulation of the receive signal. In the usage of OFDM Radar-Communication systems, whether within cooperative or non-cooperative networks, non-overlapping subcarriers are assigned to all RadCom nodes in the vicinity. Even so OFDM subcarrier misalignment can still arise from Doppler and hardware carrier frequency offset, which lead to inter-system interference. Particularly for radar applications, the goal of interference cancellation is not only to recover the payload data correctly, but also to enable a reliable radar estimation. This paper presents a measurement verification of an inter-system OFDM-based MIMO RadCom system interference cancellation concept for use in a multiple-user access environment at a scaled-down carrier frequency using universal software radio peripherals (USRPs).
Individual differences in the link between perception and production and the mechanisms of phonetic imitation

ABSTRACT This study investigates the relationship between speech perception and production using explicit phonetic imitation. We used manipulated natural vowel (head-had) stimuli varying in spectral quality and duration in both perception and production tasks to explore the perception-production link in a direct and controlled way. We examined (1) whether individual listeners’ perceptual cue weights are related to their patterns of phonetic imitation and (2) phonological and perceptual constraints underlying phonetic imitation. Results showed that better perceptual abilities (i.e. larger cue weights) were related to better imitation of vowel duration. Furthermore, imitation of vowel spectral quality was mediated by contrast maintenance while vowel duration was not. Overall, vowel duration was better imitated despite being the less important cue perceptually. These results suggest that speech perception and production are indeed linked at the individual level, and both linguistic and perceptual-cognitive factors play a role in this process.
Detecting Matroid Minors

When % is a collection of matroids, the question whether M has a minor in % can be easy or hard, depending on the choice of < 6. More precisely, the number of demands made on an "independence oracle" to decide the question sometimes can be bounded above by a polynomial in \E(M)\, and sometimes it cannot. We study this, and in particular classify each singleton % as easy or hard.
and Mucosal T Cell Immunity in Intramuscularly Can Induce Both Systemic HIV-1 Vaccination Administered

A vaccine regimen that can rapidly control HIV-1 replication at the site of exposure following sexual contact is likely to be the most effective in preventing HIV-1 infection. As part of a larger, phase II clinical trial, we evaluated the ability of a recombinant canarypox HIV-1 vaccine to induce CTL that can be detected in both the systemic and mucosal compartments following i.m. immunization in 12 low- and high-risk HIV-1 seronegative volunteers. In the 7 volunteers receiving four immunizations with live recombinant canarypox ALVAC-HIV vaccine with or without rgp120/SF-2, HIV-1-speciﬁc CTL were detected in the blood of 5 (71%) and in the rectum of 4 (57%). CTL responses were observed in both risk strata. In contrast, 5 volunteers receiving placebo had undetectable responses in both compartments. Vaccine-induced, HIV-1-speciﬁc effector activities included IFN- (cid:1) secretion and class I MHC-restricted CD8 (cid:2) CTL. Rectal and systemic CD8 (cid:2) CTL clones established in 1 vaccine recipient revealed similar Env-speciﬁc responses and MHC restriction. These ﬁndings indicate that parenteral vaccination can induce HIV-1-speciﬁc CTL that localize to sites of HIV-1 acquisition, where their presence may be critical in the control of initial viral replication and eventual dissemination. Determination of the optimal strategy to induce mucosal T cells requires future clinical studies. The Journal of Immunology, 2003, 1710: 1094–1101.
An Algebraic Model for Spatial Objects with Indeterminate Boundaries

Conventional modelling in geographic information systems (G IS) made us fam iliar with geographic objects whose spatial extents are clear and universally recognized. When we think of geographic objects with indeterminate boundaries, we immediately face the difficulty of drawing them and representing them in a computer format. The difficuily comes from a well established approach in GIS modelling which tries to simplify each geographic entity and represent its shape by using simple objects of Eucl idean geometry, like points, lines and regions. The boundaries of such objects are fixed by geometric definitions. This simpl ification process can make it difficult to represent the real nature of geographic entities when the application requires more detail. Burrough (1992) thinks that it is necessary to use basic geographic enti ties that take into account the complexity and uncertainty in posi. tion, topology and attributes. Objects with indeterminate boundaries can be partitioned in two broad categories: (a) objects which have sharp boundaries whose position and shape are unknown or cannot be measured exactly; and (b) objects which do not have wei1defined boundaries or for which it is useless to fix a boundary. The first kind of indeterminate boundary is what is usually called positional uncertainty and involves all geographic data. due to errors in measurements and the finite representation of computer formats. Positio nal uncertainty affects GIS reliability especially in certain thematic maps, such as soil maps, land use maps, and geological maps. Different models have been developed for the representation of positional uncertainties, such as fuzzy models (Dutta, 1991; Leung et 01., 1992; Banai, 1993 ; Heuvelink and Burrough, 1993; Leung and Leung, 1993) and probabilistic models (Blakemore, 1984; Goodchild and Dubuc, 1987; Finn. 1993; Shibasaki, 1993). The second ki nd of indeterminate boundary is very different since the uncertainty is not due to the limitations of current technology, but intrinsically belongs to the
Strain Background Influences Neurotoxicity and Behavioral Abnormalities in Mice Expressing the Tetracycline Transactivator

The tet-off system has been widely used to create transgenic models of neurological disorders including Alzheimer's, Parkinson's, Huntington's, and prion disease. The utility of this system lies in the assumption that the tetracycline transactivator (TTA) acts as an inert control element and does not contribute to phenotypes under study. Here we report that neuronal expression of TTA can affect hippocampal cytoarchitecture and behavior in a strain-dependent manner. While studying neurodegeneration in two tet-off Alzheimer's disease models, we unexpectedly discovered neuronal loss within the dentate gyrus of single transgenic TTA controls. Granule neurons appeared most sensitive to TTA exposure during postnatal development, and doxycycline treatment during this period was neuroprotective. TTA-induced degeneration could be rescued by moving the transgene onto a congenic C57BL/6J background and recurred on reintroduction of either CBA or C3H/He backgrounds. Quantitative trait analysis of B6C3 F2 TTA mice identified a region on Chromosome 14 that contains a major modifier of the neurodegenerative phenotype. Although B6 mice were resistant to degeneration, they were not ideal for cognitive testing. F1 offspring of TTA C57BL/6J and 129X1/SvJ, FVB/NJ, or DBA/1J showed improved spatial learning, but TTA expression caused subtle differences in contextual fear conditioning on two of these backgrounds, indicating that strain and genotype can interact independently under different behavioral settings. All model systems have limitations that should be recognized and mitigated where possible; our findings stress the importance of mapping the effects caused by TTA alone when working with tet-off models.
A MORPHOLOGICAL ANALYSIS AND SMOOTHING TECHNIQUES TO IMPROVE A STATISTICAL POS TAGGER FOR ARABIC LANGUAGE

In this paper, we have developed a new Part-of-Speech Tagger based on the morphological Analyzer Alkhalil Morpho Sys [12] for an analysis out of context and statistical approach using a hidden Markov model to identify the likely tag in context. We also use the Absolute discounting method to smooth the estimation of emission probabilities. Most existing statistical systems assign to each word the possible tags from the training corpus and this affects their performance. In this paper, we propose a method which assigns to the analyzed word the tags provided by the Alkhalil_Morpho_Sys Analyzer when the word is not included in the training data. We prove that these considerations will greatly reduce the error rate of the Part of Speech Tagger system.
Instantaneous complex frequency for pipeline pitch estimation

In the paper a pipeline algorithm for estimating the pitch of speech signal is proposed. The algorithm uses instantaneous complex frequencies estimated for four waveforms obtained by filtering the original speech signal through four bandpass complex Hilbert filters. The imaginary parts of ICFs from each channel give four candidates for pitch estimates. The decision regarding the final estimate is made based on the real parts of ICFs.
Prioritizing Software Maintenance Plan by Analyzing User Feedback

Normally when developers obtain defects list from users, the development team will decide which defects should be fixed first. The software maintenance plan, which consists of list of defects to be fixed sequentially, is mostly generated using developer experience to prioritize the defects. With the current strategy, the software maintenance plan may not serve well to customer needs. This research proposes a method to prioritizing the software defects to be fixed by focusing on 3 impact factors: severity, priority and the number of users who found the same defects. The proposed method uses natural language process (NLP) to analyze user feedbacks in order to extract defect-related keywords. The ranking process uses analytical hierarchy process (AHP) to prioritize defects to be resolved. An evaluation of the prioritizing method is provided.
Supervised Latent Semantic Indexing Using Adaptive Sprinkling

Latent Semantic Indexing (LSI) has been shown to be effective in recovering from synonymy and polysemy in text retrieval applications. However, since LSI ignores class labels of training documents, LSI generated representations are not as effective in classification tasks. To address this limitation, a process called 'sprinkling' is presented. Sprinkling is a simple extension of LSI based on augmenting the set of features using additional terms that encode class knowledge. However, a limitation of sprinkling is that it treats all classes (and classifiers) in the same way. To overcome this, we propose a more principled extension called Adaptive Sprinkling (AS). AS leverages confusion matrices to emphasise the differences between those classes which are hard to separate. The method is tested on diverse classification tasks, including those where classes share ordinal or hierarchical relationships. These experiments reveal that AS can significantly enhance the performance of instance-based techniques (kNN) to make them competitive with the state-of-the-art SVM classifier. The revised representations generated by AS also have a favourable impact on SVM performance.
Expansion of Mobile Information Service Needs toward Improving Quality of Life in Japan

The purpose of this paper is to identify how the usage of mobile information services (MIS) contribute to quality of life for young Japanese users. We examined relationships between individual life domains and the domain of overall quality of life based on bottom-up spillover theory. Questionnaire surveys were conducted via online among young Japanese mobile student users of a university. We obtained the data of 107 effective respondents. Comprehensive analyses of the relationships between constructs were conducted by PLS-SEM, of which analytical method is appropriate for a model of non-established nature with many constructs and a small sample size. Results from this study clearly indicated that the relationship between individual contribution and overall contribution are valid and reliable to analyze. Contribution to the leisure life has the highest influence on the overall contribution for Japanese young adults. Further, there were some changes between in 2013 and in 2015 with more positive significant individual domains in the descending order as follows: cultural life, community life, informational life, home-healthcare life, financial life, trustworthy life, health life, and safety life.
A multi-standard-supporting and general communication protocol parsing system design

Now, There are many communication protocols in domestic power information collecting system, so compiling parsing codes for each protocols individually is not only huge workload and easy to make mistakes, but also poor reusability and difficult to maintains. Aiming at this problem, this paper puts forward a system in which the general communication protocol parsing engine was constructed by defining data-format with script and decoupling the parsing and define module at the same time. The power information collecting systems based on this design are running in Guangdong, Hunan, Shangxi, Hainan province etc.
An HIV-1 clade C DNA prime, NYVAC boost vaccine regimen induces reliable, polyfunctional, and long-lasting T cell responses

The EuroVacc 02 phase I trial has evaluated the safety and immunogenicity of a prime-boost regimen comprising recombinant DNA and the poxvirus vector NYVAC, both expressing a common immunogen consisting of Env, Gag, Pol, and Nef polypeptide domain from human immunodeficiency virus (HIV)-1 clade C isolate, CN54. 40 volunteers were randomized to receive DNA C or nothing on day 0 and at week 4, followed by NYVAC C at weeks 20 and 24. The primary immunogenicity endpoints were measured at weeks 26 and 28 by the quantification of T cell responses using the interferon γ enzyme-linked immunospot assay. Our results indicate that the DNA C plus NYVAC C vaccine regimen was highly immunogenic, as indicated by the detection of T cell responses in 90% of vaccinees and was superior to responses induced by NYVAC C alone (33% of responders). The vaccine-induced T cell responses were (a) vigorous in the case of the env response (mean 480 spot-forming units/106 mononuclear cells at weeks 26/28), (b) polyfunctional for both CD4 and CD8 T cell responses, (c) broad (the average number of epitopes was 4.2 per responder), and (d) durable (T cell responses were present in 70% of vaccinees at week 72). The vaccine-induced T cell responses were strongest and most frequently directed against Env (91% of vaccines), but smaller responses against Gag-Pol-Nef were also observed in 48% of vaccinees. These results support the development of the poxvirus platform in the HIV vaccine field and the further clinical development of the DNA C plus NYVAC C vaccine regimen.
AAV9 and Cre: a one-two punch for a quick cardiac knockout.

This editorial refers to ‘Rapid and highly efﬁcient inducible cardiac gene knockout in adult mice using AAV-mediated expression of Cre recombinase’ by S. Werfel et al. , pp. 15–23, this issue. Knockout mice have revolutionized our ability to conduct biomedical research and no area has benefited more than cardiovascular disease. The knockout (or genetic deletion) of (a) specific gene(s) has provided a clearer understanding of the roles a gene plays in development, normal physiology, and in responses to injury, vasomotor regulation, and excitation/contraction coupling to name a few. These advances notwithstanding, the utility of traditional knockout mice can be limited in cases where the gene deletion causes embryonic lethality, or when a tissue-specific knockout is desired to avoid having off-target effects limit the study. The application of Cre-lox technology to transgenesis has provided a powerful tool in helping investigators create tissue-specific knockouts.1 The Cre-lox strategy requires the breeding of two separate lines of genetically manipulated mice: ‘floxed’ mice in which the gene of interest has been flanked by two loxP sites using ‘knock-in’ techniques, and another line of transgenic mice in which a tissue-specific promoter is used to drive the expression of Cre-recombinase. By crossing these two strains, mice are obtained in which tissue-specific expression of Cre results in deletion of the gene of interest due to the action of the Cre-recombinase enzyme that excises the genomic region flanked by the loxP sites. …
THE MEMBRANE ATTACK MECHANISM OF COMPLEMENT

Reversible interactions in free solution were demonstrated to occur (a) between C5 and C8, (b) between C5, 6, 7 and C8, and (c) between C8 and C9. No interaction was observed between C8 and C6 or C7 and between C9 and C5, 6, 7. Interactions between C8 and C9 were enhanced at lowered ionic strength (0.05) and a molar excess of C8 over C9. Complex formation was independent of pH over the range of 6.5–8.5. Under optimal conditions the C8, 9 complex had a sedimentation coefficient of 10.2–10.6S, while native C8 and C9 sedimented at 8.5 and 4.8S, respectively. Specificity and reversibility of these interactions were established. In spite of the limited number of interactions observed, all five of the native proteins of the membrane attack mechanism interacted to form an association product that sedimented at 10.8–11.2S. Demonstration of this product in free solution supports the concept that C5-9 on acquisition of cytolytic activity assemble into a stable multimolecular complex.
Security in virtual automation networks

The EU funded project VAN targets the only partially existing proprietary solutions to connect automation networks and devices via public networks in a secure, safe and predictable way. This work in progress paper provides an overview of the solutions implemented in VAN which are currently evaluated for the use in general purpose networks. The generally accepted phase model to implement an abstract security solution is introduced and some aspects are addressed more deeply. VAN will introduce a vendor independent communication solution to interconnect automation networks using public network infrastructures and hence reduce costs, complexity and potentials of misconfiguration.
Medical Free-Text to Concept Mapping as an Information Retrieval Problem

Concept mapping involves determining relevant concepts from a free-text input, where concepts are defined in an external reference ontology. This is an important process that underpins many applications for clinical information reporting, derivation of phenotypic descriptions, and a number of state-of-the-art medical information retrieval methods. Concept mapping can be cast into an information retrieval (IR) problem: free-text mentions are treated as queries and concepts from a reference ontology as the documents to be indexed and retrieved. This paper presents an empirical investigation applying general-purpose IR techniques for concept mapping in the medical domain. A dataset used for evaluating medical information extraction is adapted to measure the effectiveness of the considered IR approaches. Standard IR approaches used here are contrasted with the effectiveness of two established benchmark methods specifically developed for medical concept mapping. The empirical findings show that the IR approaches are comparable with one benchmark method but well below the best benchmark.
Depth of Field Rendering based on the Improved Gaussian Blurring in Augmented Reality System

This paper proposed a new method based on improved Gaussian Blur algorithm to simulate the depth of field effect. By studying lens imaging and the formation principle of depth of field (DOF), we present a method to solve the key problems and improve image quality of DOF simulation. By comparing the depth of pixels during sampling, the method solves the intensity leakage problem in the process of blurring. In terms of image quality, our method offers improved circular sampling and multi-level Gaussian blur to improve it. We also verified this method in Augmented Reality (AR) experiment. The result shows the proposed algorithm can really solve the intensity leakage problem and improve quality of DOF rendering.
Combining Distributional Semantic Models and Sense Distribution for Effective Italian Word Sense Disambiguation

English. Distributional semantics approaches have proven their ability to enhance the performance of overlap-based Word Sense Disambiguation algorithms. This paper shows the application of such a technique to the Italian language, by analysing the usage of two different Distributional Semantic Models built upon ItWaC and Wikipedia corpora, in conjunction with two different functions for leveraging the sense distributions. Results of the experimental evaluation show that the proposed method outperforms both the most frequent sense baseline and other state-of-the-art systems. Italiano. Gli approcci di semantica distribuzionale hanno dimostrato la loro capacità nel migliorare le prestazioni degli algoritmi di Word Sense Disambiguation basati sulla sovrapposizione di parole. Questo lavoro descrive l’applicazione di questa tipologia di tecniche alla lingua italiana, analizzando l’utilizzo di due diversi Modelli di Semantica Distribuzionale costruiti sui corpora ItWaC e Wikipedia, in combinazione con due diverse funzioni che sfruttano le distribuzioni dei significati. I risultati della valutazione sperimentale mostrano la capacità di questo metodo di superare le prestazioni sia della baseline rappresentata dal senso più comune che di altri sistemi a stato dell’arte.