Miracle-dz/UniFAR-FTUs huggingface dataset:
Consonant and vowel confusions in speech-weighted noise

This paper presents the results of a closed-set recognition task for 64 consonant-vowel sounds (16 C X 4 V, spoken by 18 talkers) in speech-weighted noise (-22,-20,-16,-10,-2 [dB]) and in quiet. The confusion matrices were generated using responses of a homogeneous set of ten listeners and the confusions were analyzed using a graphical method. In speech-weighted noise the consonants separate into three sets: a low-scoring set C1 (/f/, /theta/, /v/, /d/, /b/, /m/), a high-scoring set C2 (/t/, /s/, /z/, /S/, /Z/) and set C3 (/n/, /p/, /g/, /k/, /d/) with intermediate scores. The perceptual consonant groups are C1: {/f/-/theta/, /b/-/v/-/d/, /theta/-/d/}, C2: {/s/-/z/, /S/-/Z/}, and C3: /m/-/n/, while the perceptual vowel groups are /a/-/ae/ and /epsilon/-/iota/. The exponential articulation index (AI) model for consonant score works for 12 of the 16 consonants, using a refined expression of the AI. Finally, a comparison with past work shows that white noise masks the consonants more uniformly than speech-weighted noise, and shows that the AI, because it can account for the differences in noise spectra, is a better measure than the wideband signal-to-noise ratio for modeling and comparing the scores with different noise maskers.
Results of Single-Staged Posterior Decompression and Circumferential Fusion Using a Transpedicular Approach to Correct a Kyphotic Deformity due to Thoracolumbar Spinal Tuberculosis

Study Design This is a prospective study. Purpose The aim of this study was to investigate the results of single-staged posterior decompression and circumferential fusion using a transpedicular approach to correct a kyphotic deformity due to thoracolumbar spinal tuberculosis. Overview of Literature Surgical management is frequently an imperative choice to achieve spinal decompression and deformity correction due to tuberculosis to relieve pain, improve neurology, and reconstruct the spine stability. Since the time anterior radical debridement and noninstrumented fusion was described, it has become apparent that even anterior debridement and bone grafting was often unsatisfactory in correcting or preventing the progression of kyphosis deformity. With the advent of modern segmental spinal instrumentation systems, isolated posterior instrumentation; combined anterior and posterior fusion; and single-staged posterior decompression and circumferential fusion have been described by many authors for correcting angular deformity and stabilizing the spine; however, there is a lack of consensus regarding the most effective means of correcting the deformity due to thoracolumbar spinal tuberculosis. Methods This is a prospective study of 20 patients with thoracolumbar spinal tuberculosis who underwent surgery at our institute. Results Twenty patients who were started on antituberculosis treatment underwent surgery using a single-staged posterior approach involving fixation, decompression, and kyphosis correction. Preoperatively, all patients had varying degrees of neurological deficit and a 27.45° average kyphotic angle, which improved. At the 1-year follow-up, correction was maintained at 6.9°, and 55% of patients showed neurological improvement. None of the patients experienced neurological deterioration. Two patients with lumbar spine tuberculosis underwent revision surgery because of nonunion. Conclusions The procedure of posterior decompression, fixation, and circumferential fusion using a transpedicular approach performed for thoracolumbar spinal tuberculosis is effective, safe, and excellent in correcting and maintaining kyphosis.
Online Person Name Disambiguation with Constraints

While many clustering techniques have been successfully applied to the person name disambiguation problem, most do not address two main practical issues: allowing constraints to be added to the clustering process, and allowing the data to be added incrementally without clustering the entire database. Constraints can be particularly useful especially in a system such as a digital library, where users are allowed to make corrections to the disambiguated result. For example, a user correction on a disambiguation result specifying that a record does not belong to an author could be kept as a cannot-link constraint to be used in any future disambiguation (such as when new documents are added). Besides such user corrections, constraints also allow background heuristics to be encoded into the disambiguation process. We propose a constraint-based clustering algorithm for person name disambiguation, based on DBSCAN combined with a pairwise distance based on random forests. We further propose an extension to the density-based clustering algorithm (DBSCAN) to handle online clustering so that the disambiguation process can be done iteratively as new data points are added. Our algorithm utilizes similarity features based on both metadata information and citation similarity. We implement two types of clustering constraints to demonstrate the concept. Experiments on the CiteSeer data show that our model can achieve 0.95 pairwise F1 and 0.79 cluster F1. The presence of constraints also consistently improves the disambiguation result across different combinations of features.
Control and Function of the Homeostatic Sleep Response by Adenosine A1 Receptors

During sleep, the mammalian CNS undergoes widespread, synchronized slow-wave activity (SWA) that directly varies with previous waking duration (Borbély, 1982; Dijk et al., 1990). When sleep is restricted, an enhanced SWA response follows in the next sleep period. The enhancement of SWA is associated with improved cognitive performance (Huber et al., 2004), but it is unclear either how the SWA is enhanced or whether SWA is needed to maintain normal cognitive performance. A conditional, CNS knock-out of the adenosine receptor, AdoA1R gene, shows selective attenuation of the SWA rebound response to restricted sleep, but sleep duration is not affected. During sleep restriction, wild phenotype animals express a rebound SWA response and maintain cognitive performance in a working memory task. However, the knock-out animals not only show a reduced rebound SWA response but they also fail to maintain normal cognitive function, although this function is normal when sleep is not restricted. Thus, AdoA1R activation is needed for normal rebound SWA, and when the SWA rebound is reduced, there is a failure to maintain working memory function, suggesting a functional role for SWA homeostasis.
An integrated cloud-based framework for mobile phone sensing

Nowadays mobile phones are not only communication devices, but also a source of rich sensory data that can be collected and exploited by distributed people-centric sensing applications. Among them, environmental monitoring and emergency response systems can particularly benefit from people-based sensing. Due to the limited resources of mobile devices, sensed data are usually offloaded to the cloud. However, state-of-the art solutions lack a unified approach suitable to support diverse applications, while reducing the energy consumption of the mobile device. In this paper, we specifically address mobile devices as rich sources of multi-modal data collected by users. In this context, we propose an integrated framework for storing, processing and delivering sensed data to people-centric applications deployed in the cloud. Our integrated platform is the foundation of a new delivery model, namely, Mobile Application as a Service (MAaaS), which allows the creation of people-centric applications across different domains, including participatory sensing and mobile social networks. We specifically address a case study represented by an emergency response system for fire detection and alerting. Through a prototype testbed implementation, we show that the proposed framework can reduce the energy consumption of mobile devices, while satisfying the application requirements.
A Full-Wave Analysis of a Complete Model for a Radial Line Slot Antenna

Extremely small aperture radial line slot antennas (RLSAs) are analyzed by method of moments. At first, the analysis model of cylindrical waveguide in terms of rectangular cavity modes is confirmed for a RLSA with a spiral slot arrangement. The overall VSWR as well as rotational symmetry of the actual structure of RLSAs is predicted for the first time and is confirmed experimentally. Secondly, the minimum diameter of the concentric array RLSA is estimated for which the conventional analysis model of a rectangular waveguide is valid for the design of matching slot pairs at the shorted periphery of the radial waveguide. It is found that the curvature and cylindrical short wall at aperture periphery must be considered in the design and analysis of small RLSAs with the gain lower than about 25 dBi. key words: radial line slot antenna, small aperture, rectangular
Whole-Body Opertation Space Control : Undirectional Walking of a Point-Foot Series Elastic Biped

This paper explores a robust control strategy for stabilizing an unstable legged system by footstep placement. We verify the performance of the proposed strategy on our hardware platform, a point-foot biped robot named Hume. Previously, in [1], we proposed a re-planning algorithm and verified it with a physics-based dynamic simulation, but did not test it in hardware. In this paper we present both simulation based and experimental verification of this novel strategy. To implement transitions between single support phases, we devised a contact constraint transition technique based on Whole Body Operational Space Control (WBOSC), a model-based feedback-linearized torque controller capable of achieving both position–impedance tasks and internal force commands. We refer readers interested in WBOSC, which underlies our entire strategy—not just the contact transitions, to [2].
Naive Bayes Spam Filtering Using Word Position Attributes

This paper explores the use of the naive Bayes classifier as the basis for personalized spam filters. Various machine learning algorithms, including variants of naive Bayes, have previously been used for this purpose, but the author’s implementation using word position based attribute vectors gives very good results when tested on several publicly available corpora. The effect of various forms of attribute selection—removal of frequent and infrequent words, respectively, and by using Mutual Information—is investigated. It is also shown how n-grams, with n > 1, may be used to boost classification performance. Finally, a weighting scheme for cost-sensitive classification of variable length attribute vectors is introduced.
SentNet : The Effects of Sentiment on Information Propagation

We aim to model online news as an evolving self-replicating phenomenon under selection pressures due to the sentiment which it evokes. We explore this idea by applying lexicon-based sentiment classification to clusters of quotes created using the MemeTracker framework. We perform correlation tests on the popularity, sentiment and network features extracted from each cluster and found that sentiment features are more tightly correlated with future popularity than features of current popularity are.
Formation and dynamical evolution of multiple stellar generations in globular clusters

We study the formation and dynamical evolution of clusters with multiple stellar generations. Observational studies have found that some globular clusters host a population of second generation (SG) stars which show chemical anomalies and must have formed from gas containing matter processed in the envelopes of first generation (FG) cluster stars. We study the SG formation process by means of 1D hydrodynamical simulations, starting from a FG already in place and assuming that the SG is formed by the gas ejected by the Asymptotic Giant Branch (AGB) stars. This gas collects in a cooling flow into the cluster core, where it forms SG stars. The SG subsystem emerging from this process is initially strongly concentrated in the cluster innermost regions and its structural properties are largely independent of the FG initial properties. We also present the results of a model in which pristine gas contributes to the SG formation. In this model a very helium-rich SG population and one with a moderate helium enrichment form; the resulting SG bimodal helium distribution resembles that observed for SG stars in NGC 2808. By means of N-body simulations, we then study the two-population cluster dynamical evolution and mass loss. In our simulations, a large fraction of FG stars are lost early in the cluster evolution due to the expansion and stripping of the cluster outer layers resulting from early mass loss associated with FG SN ejecta. The SG population, initially concentrated in the innermost cluster regions, is largely unscathed by this early mass loss, and this early evolution leads to values of the number ratio of SG to FG stars consistent with observations. We also demonstrate possible evolutionary routes leading to the loss of most of the FG population, leaving an SG-dominated cluster. As the cluster evolves and the two populations mix, the local ratio of SG to FG stars, initially a decreasing function of radius, tends to a constant value in the inner parts of the cluster. Until mixing is complete, the radial profile of this number ratio is characterized by a flat inner part and a declining portion in the outer cluster regions.
Firm Leadership and Innovative Performance : Evidence on Five Business Sectors from Seven EU Countries

This paper considers the effect of different firm leadership on the innovative performance of firms from seven EU countries. We investigate whether owner-led or manager-led firms achieve a larger share of their turnover with product innovations. Economic theory does not propose clear results on that question. In the empirical analysis it turns out that the manager-led firms are more active innovators: the share of sales based on new products is larger if firms' managers do not hold any of the firms' capital. Surprisingly, there are no differences between the seven countries included in the regression analysis. JEL-Classification: O32, O31, D21, C24
Data Hiding in Color Images Using Modified Quantization Table

With the rapid growth of of internet and wireless networks, information security becomes significant to protect e-commerce and personal privacy. Data Hiding is an important issue for information security.There has been number of steganographic embedding techniques proposed over last few years. This paper presents a novel steganographic method based on the JPEG quantization table modification. Instead of dividing cover image into 8×8 blocks, the cover image is divided into nonoverlapping blocks of 16×16 pixels to embed secret information. Here we have considered color images and investigated the feasibility of data hiding. Four performance parameters namely Capacity, MSE and PSNR and NC have been compared on different sizes of standard test images. In comparison with Jpeg-Jsteg and Chang et al. methods based on the conventional blocks of 8x8 pixels the proposed method shows high performance with regard to embedding rate and PSNR of stego image. Furthermore, NC shows that the produced stego-images are almost similar to the original cover images.
The Rogers-Ramanujan identities, the finite general linear groups, and the Hall-Littlewood polynomials

We connect Gordon's generalization of the Rogers-Ramanujan identities with the Hall-Littlewood polynomials and with generating functions which arise in a probabilistic setting in the finite general linear groups. This yields a Rogers-Ramanujan type product formula for the n -+ oo probability that an element of GL(n, q) or Mat(n, q) is semisimple. 1. BACKGROUND AND NOTATION The Rogers-Ramanujan identities are among the most remarkable partition identities in number theory and combinatorics. This paper will be concerned with the following generalization of the Rogers-Ramanujan identities, due to Gordon. Let (x)n denote (1 x)(1 x2). (1 xn). Theorem 1 ([A, page 111]). For 1 2, and complex x with Ixl O )*'' r0,? i(mod 2k+l) where Nj = nj + + nk-1. Gordon's generalization of the Rogers-Ramanujan identities has been widely studied and appears in many places in mathematics and physics. Andrews [A] discusses combinatorial aspects of these identities. In an important series of papers, Lepowsky and Wilson [LW1], [LW2], [LW3] connect the Gordon identities with affine Lie algebras and structures that they called Z-algebras (later interpreted as parafermion algebras in conformal field theory). Meurman and Primc [MP] solve a problem left open in [LW3], proving the independence of a Z-algebra basis and obtaining a Z-algebra proof of the Gordon identities. Feigin and Frenkel [FF] interpret the Gordon identities as a character formula for the Virasoro algebra. Andrews, Baxter, and Forrester [ABF] and Warnaar [W] relate the Gordon identities with statistical mechanics. For some number theoretic connections see the conference proceedings [AABRR]. We use the following standard notation from the theory of partitions. Call A = (A1,A2,--.) a partition of n = AIX if A1 > A2 > > 0 where the Ai are Received by the editors March 6, 1998. 1991 Mathematics Subject Classification. Primary 20P05, 05E05. ()1999 American Mathematical Society 17 This content downloaded from 207.46. 13.142 on Sat, 28 May 2016 06:40:23 UTC All use subject to http://about.jstor. org/terms
FTL design exploration in reconfigurable high-performance SSD for server applications

Solid-state disks (SSDs) are becoming widely used in personal computers and are expected to replace a great portion of magnetic disks in servers and supercomputers. Although many high-speed SSDs are present in the market, both the design of hardware architecture and the details of the flash translation layer (FTL) are not well known. Meanwhile, in the systems requiring high-end storages, specially tuned SSDs can perform better than the generic ones, because the applications in such environment are usually fixed. Based on the architectural design of our reconfigurable high-performance SSD prototype and by using a trace-driven simulator, we explore the key factors and tradeoffs that must be considered when designing a customized FTL. FTL related issues, such as data allocation, cleaning, and wear leveling, are analyzed in detail presenting suitable design decisions for different workload characteristics. The experimental result shows that the figures for the performance metrics will vary from several percent to more than tens of times among each other depending on the decision made for designing each FTL functionality.
An SOM-Based Decoding Algorithm for Multi-class SVM

How to process multi-class problem with SVM is one of the present research focuses. In general, the classification process for the multi-class SVM includes two parts: the encoding and decoding strategy. Specially, we address the decoding problem which concerns how to map the outputs into class codewords. In this paper an SOM-based decoding algorithm for multi-class SVM is presented, which directly use the output magnitude to classify the data in combination with the nonlinearity and topological ordering of the SOM. The experiments on the Yale and ORL face databases show the advantage of the new method over the widely-used Hamming decoding scheme
Working memory deWcit in children with mathematical diYculties: A general or speciWc deWcit?

This study examined whether children with mathematical diYculties (MDs) or comorbid mathematical and reading diYculties have a working memory deWcit and whether the hypothesized working memory deWcit includes the whole working memory system or only speciWc components. In the study, 31 10-year-olds with MDs and 37 10-year-olds with both mathematical and reading diYculties were compared with 47 age-matched and 50 younger controls (9-year-olds) on a number of working memory tasks. Compared with the age-matched controls, both groups of children with MDs performed worse on tasks tapping the central executive (e.g., visual matrix span) and the phonological loop (e.g., word span). More important, the MD group performed worse than the younger controls on the counting span task, whereas the group with comorbid mathematical and reading diYculties performed worse on the counting span task and the visual matrix span task. These Wndings provide support for the assumption that children with MDs have a working memory deWcit. More speciWcally, children with MDs have a central executive deWcit connected to concurrent processing and storage of numerical and visual information.
Optimization of the predict operator in lifting-based motion-compensated temporal filtering

The motion-compensated temporal filtering is an essential part of a scalable wavelet-based video coding scheme, which applies a temporal wavelet transform in the motion direction over the frames of a video sequence. The lifting structure of the temporal filter bank tackled in this paper involves a predict operator which makes use of two motion vector fields to bidirectionally predict frames from their neighbouring ones. We show in this paper that there exists an optimal algorithm allowing to estimate jointly these two motion vector fields subject to an optimization criterion directly related to the coding of the detail subbands. We provide an iterative suboptimal form of this algorithm implementing this approach. We show that this algorithm provides substantial gains in terms of PSNR, with the same complexity as a separate estimation of the two motion vector fields.
Study protocol to investigate the environmental and genetic aetiology of atopic dermatitis: the Indonesian Prospective Study of Atopic Dermatitis in Infants (ISADI)

Introduction Atopic dermatitis (AD) is the most common skin disorder in young children worldwide, with a high impact on morbidity and quality of life. To date, no prospective study has been published on the incidence and potential predictors of AD in South East Asian populations. The Indonesian Prospective Study of Atopic Dermatitis in Infants (ISADI) will address the genetic, metabolic and dietary characteristics of mothers and their offspring, as well as potential determinants of AD within the first year of infant life. Methods and analysis This prospective study will be undertaken in about 400 infants to investigate the direct and indirect effects of filaggrin (FLG) gene mutations, the genetic variants of FADS1, FADS2 and FADS3 and the role of long-chain polyunsaturated fatty acids (LCPUFA) on the development of AD. We will use standardised protocols for subject recruitment, umbilical artery plasma analysis, buccal cell sampling for genotyping, fatty acid analysis, physical exams, 3-day food-intake recall of mothers and children, as well as comprehensive questionnaires on environmental, socioeconomic and AD-related factors, including family history. Monthly monitoring by telephone and physical exams every 3 months will be carried out to assess participants' anthropometry, medical history and incidence of AD diagnosis during the first year of life. Hypotheses-driven analyses of quality-controlled dietary, genetic and metabolic data will be performed with state-of-the-art statistical methods (eg, AD-event history, haplotype, dietary or metabolic factor analysis). Direct and indirect effects of genetics and LCPUFA in buccal cell and cord plasma glycerophospholipids as potential mediators of inflammation on AD development will be evaluated by path analysis. Ethics and dissemination The Permanent Medical Research Ethics Committee in Medicine and Health/Faculty of Medicine Universitas Indonesia/Dr Cipto Mangunkusumo Hospital (No. 47/H2.F1/ETIK/2014) approved the study protocol (extended by the letter no. 148/UN2.F1/ETIK/2015). We aim to disseminate our findings via publication in an international journal with high impact factor.