Miracle-dz/UniFAR-FTUs huggingface dataset:
THE HOUGH TRANSFORM FOR BINAURAL SOURCE LOCALIZATION

We introduce a new technique for the blind localization of several sound sources from two binaural signals. First, the binaural signals are organized as two-dimensional data where each sound source appears as a line. Second, the Hough transform is used to recognize these lines. The slopes of the lines give the mixing coefficients and directions of arrival (azimuths). Two variants of our technique are proposed, based on only one of the interaural level or time differences, respectively. Although a rapid comparison to a well-known localization method as well as promising results are shown, they are clearly not exhaustive and this paper should rather be regarded as a feasibility demonstration of the new technique.
Quantitative Proteomic (iTRAQ) Analysis of 1st Trimester Maternal Plasma Samples in Pregnancies at Risk for Preeclampsia

A current major obstacle is that no reliable screening markers exist to detect pregnancies at risk for preeclampsia. Quantitative proteomic analysis employing isobaric labelling (iTRAQ) has been suggested to be suitable for the detection of potential plasma biomarkers, a feature we recently verified in analysis of pregnancies with Down syndrome foetuses. We have now examined whether this approach could yield biomarkers to screen pregnancies at risk for preeclampsia. In our study, we used maternal plasma samples obtained at 12 weeks of gestation, six from women who subsequently developed preeclampsia and six with uncomplicated deliveries. In our analysis, we observed elevations in 10 proteins out of 64 proteins in the preeclampsia study group when compared to the healthy control group. These proteins included clusterin, fibrinogen, fibronectin, and angiotensinogen, increased levels of which are known to be associated with preeclampsia. An elevation in the immune-modulatory molecule, galectin 3 binding protein, was also noted. Our pilot study, therefore, indicates that quantitative proteomic iTRAQ analysis could be a useful tool for the detection of new preeclampsia screening markers.
PERBANDINGAN AKTIVITAS ANTIOKSIDAN TOMAT SAYUR, TOMAT CERI, DAN TOMAT BUAH TERHADAP 1,1-diphenyl-2-picrylhydrazil ( DPPH )

Penyakit degeneratif dapat timbul karena adanya radikal bebas (Theroux and Libby, 2005;Steinberg, 2009). Radikal bebas adalah atom atau molekul yang memiliki elektron tidak berpasangan yang dapat menyebabkan senyawa tersebut sangat reaktif mencari pasangan dengan cara menyerang dan mengikat elektron molekul yang berada di sekitarnya(Winarsi, 2007). Efek merugikan dari radikal bebas terjadi ketika kadarnya berlebih sehingga menyebabkan kerusakan sistem biologis (Valko et al., 2007). Untuk meredam kerusakan oksidatif tersebut diperlukan antioksidan (Setiawan, 2005). Antioksidan merupakan senyawa pemberi elektron yang mampu menginaktivasi berkembangnya reaksi oksidasi dengan cara mengikat radikal bebas dan mencegah terbentuknya radikal (Winarsi, 2007). Tanaman tomat merupakan salah satu sumber penghasil antioksidan. Aktivitas antioksidan dalam tanaman tomat disebabkan oleh likopen, β-karoten dan vitamin C (Hanson et al., 2004). Aktivitas antioksidan dari tomat secara keseluruhan dipengaruhi oleh variasi genetik, tahap kematangan dan lingkungan (Leonardi et al., 2000). Penelitian ini dilakukan untuk mengetahui perbedaan aktivitas antioksidan tomat sayur, tomat ceri dan tomat buah menggunakan metode pengujian secara in-vitro denganDPPH untukmengukur kemampuan antioksidan menurunkan absorban DPPH menggunakan spektrofotometer.Parameter yang digunakan adalah IC50yaitu konsentrasi sampel yang dapat menyebabkan absorbansi DPPH turun menjadi setengahnya yang dihitung berdasarkan persamaan regresi linier (Molyneux, 2003). Dari hasil pengujian diperolehIC50 tomat sayur adalah 10670,89 ppm atau setara dengan 236,84 mg buah. IC50 tomat ceri adalah 17080,44 ppm atau setara dengan 264,81 mg buah. IC50 tomat buah adalah 9879,41 ppm atau setara dengan 260,72 mg buah. Terdapat perbedaan bermakna antara aktivitas antioksidan tomat sayur dengan tomat ceri dan tomat ceri dengan tomat buah. Sedangkan untuk aktivitas antioksidan antara tomat sayur dengan tomat buah tidak ada
Simultaneous egomotion estimation, segmentation, and moving object detection

Robust egomotion estimation is a key prerequisite for making a robot truly autonomous. In previous work, a multimodel extension of random sample consensus (RANSAC) was introduced to deal with environments with rapid changes by incorporating moving object information. A multiscale matching algorithm was also proposed to resolve the issue of imperfect segmentation. In this paper, we present a novel specialization of RANSAC that extends the previous work. A unified framework is introduced to achieve simultaneously egomotion estimation, multiscale segmentation, and moving object detection in the RANSAC paradigm. The motivation of this work is to provide a robust real‐time solution to the problem of egomotion estimation, segmentation, and moving object detection in highly dynamic environments. The idea is to augment the discriminative power of spatial and temporal appearances of objects by the spatiotemporal consistency. The objective is twofold. First, split mismerged segments and distinguish nonstationary objects from stationary objects by the spatial consistency. Second, merge oversegmented segments and differentiate moving objects from outlying objects by the temporal consistency. Moving objects of considerably different sizes, from pedestrians to trucks, can be properly segmented and correctly detected. We also show that the performance of egomotion estimation can be further improved by taking into account both stationary and moving object information. Our approach is extensively evaluated on challenging data sets and compared to the state of the art. The experiments also show that our approach serves as a general framework that works well with various planar range data. © 2011 Wiley Periodicals, Inc.
Reliability of Movement Assessment Battery for Children, Age Band 2 (Second Edition): Exploratory Study

One important role of an adapted professional is to carry out reliable and valid assessments. Since the latter cannot be accomplished without the former, reliability represents a key concept for persons working with atypically functioning individuals. Measurement error, hence lack of reliability, is inevitable when assessing social, psychological and physical attributes of persons. However, when the amount of measurement error (systematic or random) is substantial, the conclusions drawn from the tests and coinciding scores have to be treated with caution or disregarded altogether. They may lead to false positive or negative inferences, which in turn may have detrimental consequences for the client [1].
An efficient TCP with explicit handover notification for mobile networks

TCP is a popular Internet protocol for reliable end-to-end data delivery, but it cannot be directly applied to wireless networks in which packet loss may be induced by higher BER or handover than congestion. TCP assumes that such packet loss is caused by network congestion and initiates congestion control procedures. In this paper, we present a novel protocol using explicit handover notification to improve TCP performance over wireless links. Additionally, we execute computer simulations using the network simulator and compare it with the other various protocols.
Towards a more realistic population of bright spiral galaxies in cosmological simulations

We present an update to the multiphase SPH galaxy formation code by Scannapieco et al. We include a more elaborate treatment of the production of metals, cooling rates based on individual element abundances, and a scheme for the turbulent diffusion of metals. Our SN feedback model now transfers energy to the ISM in kinetic and thermal form, and we include a prescription for the effects of radiation pressure from massive young stars on the ISM. We calibrate our new code on the well studied Aquarius haloes and then use it to simulate a sample of 16 galaxies with halo masses between 1 × 10 11 and 3 × 10 12 M⊙. In general, the stellar masses of the sample agree well with the stellar mass to halo mass relation inferred from abundance matching techniques for redshifts z = 0 4. There is however a tendency to overproduce stars at z > 4 and to underproduce them at z < 0.5 in the least massive haloes. Overly high SFRs at z < 1 for the most massive haloes are likely connected to the lack of AGN feedback in our model. The simulated sample also shows reasonable agreement with observed star formation rates, sizes, gas fractions and gas-phase metallicities at z = 0 3. Remaining discrepancies can be connected to deviations from predictions for star formation histories from abundance matching. At z = 0, the model galaxies show realistic morphologies, stellar surface density profiles, circular velocity curves and stellar metallicities, but overly flat metallicity gradients. 15 out of 16 of our galaxies contain disk components with kinematic disk fraction ranging between 15 and 65 %. The disk fraction depends on the time of the last destructive merger or misaligned infall event. Considering the remaining shortcomings of our simulations we conclude
Intrinsically parallel multiscale algorithms for hypercubes

Most algorithms implemented on parallel computers have been optimal serial algorithms, slightly modified or parallelized. An exciting possibility is the search for intrinsically parallel algorithms. These are algorithms which do not have a sensible serial equivalent — any serial equivalent is so inefficient as to be of little use. We describe a multiscale algorithm for the solution of PDE systems that is designed specifically for massively parallel supercomputers. Unlike conventional multigrid algorithms, the new algorithm utilizes the same number of processors at all times. Convergence rates are much faster than for standard multigrid methods — the solution error decreases by up to three digits per iteration. The basic idea is to solve many coarse scale problems simultaneously, combining the results in an optimal way to provide an improved fine scale solution. On massively parallel machines the improved convergence rate is attained at no extra computational cost since processors that would otherwise be sitting idle are utilized to provide the better convergence. Furthermore the algorithm is ideally suited to SIMD computers as well as MIMD computers. On serial machines the algorithm is much slower than standard multigrid because of the extra time spent on multiple coarse scales, though in certain cases the improved convergence rate may justify this — primarily in cases where other methods do not converge. The algorithm provides an extremely fast solution of various standard elliptic equations on machines such as the 65,536 processor Connection Machine, and uses only &Ogr; (log(N)) parallel machine instructions to solve such equations. The discovery of this algorithm was motivated entirely by new hardware. It was a surprise to the authors to find that developments in computer architecture might lead to new mathematics. Undoubtedly further intrinsically parallel algorithms await discovery.
A Map of Functional Synaptic Connectivity in the Mouse Anteroventral Cochlear Nucleus

The cochlear nuclei are the first central processors of auditory information and provide inputs to all the major brainstem and midbrain auditory nuclei. Although the local circuits within the cochlear nuclei are understood at a cellular level, the spatial patterns of connectivity and the connection strengths in these circuits have been less well characterized. We have applied a novel, quantitative approach to mapping local circuits projecting to cells in the mouse anteroventral cochlear nucleus (AVCN) using laser-scanning photostimulation and glutamate uncaging. The amplitude and kinetics of individual evoked synaptic events were measured to reveal the patterns and strengths of synaptic connections. We found that the two major excitatory projection cell classes, the bushy and T-stellate cells, receive a spatially broad inhibition from D-stellate cells in the AVCN, and a spatially confined inhibition from the tuberculoventral cells of the dorsal cochlear nucleus. Furthermore, T-stellate cells integrate D-stellate inhibition from an area that spans twice the frequency range of that integrated by bushy cells. A subset of both bushy and T-stellate cells receives inhibition from an unidentified cell population at the dorsal–medial boundary of the AVCN. A smaller subset of cells receives local excitation from within the AVCN. Our results show that inhibitory circuits can have target-specific patterns of spatial convergence, synaptic strength, and receptor kinetics, resulting in different spectral and temporal processing capabilities.
Smarter in middle age, faster in old age: a cross-lagged panel analysis of reaction time and cognitive ability over 13 years in the West of Scotland Twenty-07 Study.

Participants in the West of Scotland Twenty-07 Study performed reaction time tasks and took the Alice Heim 4 Part 1 test (AH4) of intelligence twice, 13 years apart. Cross-lagged associations between speed of processing and AH4 were examined using latent variables in structural equation modeling. The stability coefficients of the latent traits of processing speed and of AH4 score across 13 years were . 49 and . 89, respectively. There was a significant association (-.21) between AH4 score at age 56 and speed of processing at age 69 but not vice versa. The results fail to support the theory that processing speed is a foundation for successful cognitive aging but support a hypothesis that suggests that higher general intelligence might be associated with lifestyle and other factors that preserve processing speed.
The "Nasty Effect: " Online Incivility and Risk Perceptions of Emerging Technologies

Uncivil discourse is a growing concern in American rhetoric, and this trend has expanded beyond traditional media to online sources, such as audience comments. Using an experiment given to a sample representative of the U.S. population, we examine the effects online incivility on perceptions toward a particular issue-namely, an emerging technology, nanotechnology. We found that exposure to uncivil blog comments can polarize risk perceptions of nanotechnology along the lines of religiosity and issue support.
Assessment of a Flavone-Polysaccharide Based Prescription for Treating Duck Virus Hepatitis

Because polysaccharide and flavone ingredients display good antiviral activity, we developed a flavone/polysaccharide-containing prescription that would be effective against duck viral hepatitis (DVH) and investigated its hepatoprotective effects. Flavones were derived from Hypericum japonicum (HJF) (entire herb of Hypericum japonicum Thunb) and Salvia plebeia (SPF) (entire herb of Salvia plebeia R. Br.), and polysaccharides were derived from Radix Rehmanniae Recens (RRRP) (dried root of Rehmannia glutinosa Libosch). This prescription combination was based on the theory of syndrome differentiation and treatment in traditional Chinese veterinary medicine. In vitro and in vivo experiments were conducted using the three single ingredients compared to the combined HRS prescription to determine their anti-duck hepatitis A viral (anti-DHAV) activity. The results showed that all experimental conditions displayed anti-DHAV activity, but the HRS prescription presented the best effect. To further investigate the hepatoprotective effect of the HRS prescription on DHAV-induced hepatic injury, we tested the mortality rate, the hepatic pathological severity score, plasma biochemical indexes of hepatic function, blood DHAV gene expression levels and peroxidation damage evaluation indexes and then analyzed correlations among these indexes. The results demonstrated that the HRS prescription significantly decreased the mortality rate, reduced the severity of hepatic injury, decreased the hepatic pathological severity score, depressed blood DHAV gene expression levels, and returned the indexes of hepatic function and peroxidation almost to a normal level. These results indicate that the HRS prescription confers an outstanding hepatoprotective effect, and we expect that it will be developed into a new candidate anti-DHAV drug.
Integration of saccadic eye movement signals into visual processing

Successful interpretation of visual motion requires information regarding ocular motion as well as information from retinal image motion. This suggests that eye movement information is integrated into visual motion perception and that the neural activity in visual cortex would be modulated by saccadic eye movements. We describe in this paper the characteristics of the neural activity in the cat visual cortex that occur in association with saccadic eye movements during a visually-guided saccade task and during REM sleep.
SECO Patterns: Architectural Decision Support in Software Ecosystems

A software ecosystem challenges the architect through additional considerations, because multiple partners with different interests are involved. Therefore, the perspectives business, organization and high-level architecture need to be taken into account before deriving a detailed software design. In this paper, we present our vision and first results of SECO patterns, which capture solutions for recurring high-level problems in software ecosystems. They can be used standalone, but our vision also includes a two-step decision support system to aid the architect in two complex decisions: At first, it can propose relevant SECO patterns to support feature selection. The proposals are based on the specific characteristics of the software ecosystem of interest, which have to be provided by the architect. In a second step, the decision support system can aid the architect in applying a selected SECO pattern. For this step, we reuse the method and knowledge base of CoCoADvISE to provide guidance on decision making regarding the detailed software architecture.
Analysis of unsupervised and noise-robust speaker-adaptive HMM-based speech synthesis systems toward a unified ASR and TTS framework

For the 2009 Blizzard Challenge we have built an unsupervised version of the HTS-2008 speaker-adaptive HMM-based speech synthesis system for English, and a noise robust version of the systems for Mandarin. They are designed from a multidisciplinary application point of view in that we attempt to integrate the components of the TTS system with other technologies such as ASR. All the average voice models are trained exclusively from recognized, publicly available, ASR databases. Multipass LVCSR and confidence scores calculated from confusion network are used for the unsupervised systems, and noisy data recorded in cars or public spaces is used for the noise robust system. We believe the developed systems form solid benchmarks and provide good connections to ASR fields. This paper describes the development of the systems and reports the results and analysis of their evaluation.
Using TRACE to Model Infant Sensitivity to Vowel and Consonant Mispronunciations

Very young infants possess a capacity to discriminate contrasts that are not present in their native language. Later in development, they lose this capacity while improving the discrimination of sounds in their native language and progressively tuning their speech sensitivity to increase the phonological speciﬁcity of their lexical represenations. Recent evidence suggests a symmetry in infant sensitivity to vowel and consonant mispronunciations of familiar words from early in the second year of life. We investigate this question from a modelling perspective, using a continuous mapping model; TRACE. Our results support Mani and Plunkett’s (2007) claim that both vowels and consonants constrain lexical access to familiar words in the infant lexicon. However, TRACE predicts that infants should become increasingly sensitive to onset mispronunciations (usually consonants in English) of familiar words as vocabulary develops, whereas their sensitivity to non-onset (often vowels) mispronunciations should remain relatively stable during the second year of life. Interestingly, this effect is purely driven by the structure and size of the lexicon, as TRACE is not a developmental model.
Who Is Ahead in the Labor Queue? Institutions’ and Employers’ Perspective on Overeducation, Undereducation, and Horizontal Mismatches:

Using vignettes, this study compares employers’ assessments of matched and mismatched job applicants in England and the Netherlands. It contributes to the overeducation literature in several ways. First, matching is measured from the perspective of employers, who are better informed about job requirements than employees. Second, overeducated applicants are compared to matched applicants competing for the same job opening. This shift in focus toward applicant pools is necessary to properly test whether overeducation is rewarded during the hiring process, the central tenet of job competition theory. Third, vertical and horizontal mismatches are analyzed jointly: This more fine-grained differentiation refines sociological perspectives on credentialism and reveals the complex ways in which employers assign applicants to jobs. Results show that Dutch employers apply more rigid hiring floors and more strongly penalize horizontal mismatches: Compared to England, in the Netherlands, overeducation cannot compensat.
Node-Based Shape Grammar Representation and Editing

Mass content creation is nowadays one of the most important challenges for game artists. This paper presents a high-level architectural modeling solution that combines the full generative power of shape grammars with the ease of use and flexibility of a node-based visual language. Our approach comprises a shape data flow character and introduces some novel features, including recursion, parametric flow, and flow filtering. The main development model consists of encapsulating basic operations into semantically-rich, reusable components that can be more easily assembled using filters. Eventually, this enables users to concentrate on the more intuitive and interactive development layers, while the text-based grammar rules are automatically generated.
A Robust Moving Objects Detection Algorithm Based on Gaussian Mixture Model

The paper proposes a novel algorithm which can effectively resolve the problems of background disturbance and light changes in allusion to the problem that the background subtraction is sensitive to light changes. The algorithm, combined with the methods of background subtraction and adjacent frame difference, adopts Gaussian mixture model to avoid the impact of background disturbance. By using the idea of adjacent frame difference for reference, it deals with light changes by background reconstruction and constructing the function of dynamic learning efficiency. The algorithm is simulated under the circumstance of background disturbance and light changes, the experimental results show that the algorithm is more efficient and robust than traditional methods, and it can attain background model in the complex condition quickly. The algorithm is particularly suitable to the intelligent video surveillance with static cameras.