Miracle-dz/UniFAR-FTUs huggingface dataset:
A conversation with Bruce Spiegelman. Interviewed by Ushma Neill.

More than almost any other scientist in the field of obesity and metabolism research, the work of Bruce Spiegelman (Figure ​(Figure1),1), from the Dana-Farber Cancer Institute and Harvard Medical School, has informed potential targets for drug discovery that could burn fat and even turn fat into muscle. He was the first to suggest that inflammation underscores insulin resistance, and also the first to find the key regulator of adipogenesis, PPAR-γ. The full interview, with more stories and his tips for working with journal editors, can be seen on the JCI website at http://www.jci. org/kiosk/cgm.
Generic channel overlap calculations algorithm

The ever-increasing shortage of the spectrum leaves fourth generation wireless technologies no choice but to re-use their existing spectra repeatedly by the so-called re-farming strategy. This alternative, nevertheless, increases overlap levels between cells and rapidly escalates into interference situations. In this paper, channel overlap in wireless systems is defined and quantified. The proposed models account for cross and adjacent types of overlap in almost any radio network.
Development of Personalized Recommendation System using RFM method and k-means Clustering

Collaborative filtering which is used explicit method in a existing recommedation system, can not only reflect exact attributes of item but also still has the problem of sparsity and scalability, though it has been practically used to improve these defects. This paper proposes the personalized recommendation system using RFM method and k-means clustering in u-commerce which is required by real time accessablity and agility. In this paper, using a implicit method which is is not used complicated query processing of the request and the response for rating, it is necessary for us to keep the analysis of RFM method and k-means clustering to be able to reflect attributes of the item in order to find the items with high purchasablity. The proposed makes the task of clustering to apply the variable of featured vector for the customer`s information and calculating of the preference by each item category based on purchase history data, is able to recommend the items with efficiency. To estimate the performance, the proposed system is compared with existing system. As a result, it can be improved and evaluated according to the criteria of logicality through the experiment with dataset, collected in a cosmetic internet shopping mall.
Towards an articulatory phonology

Abstract We propose an approach to phonological representation based on describing an utterance as an organised pattern of overlapping articulatory gestures. Because movement is inherent in our definition of gestures, these gestural ‘constellations’ can account for both spatial and temporal properties of speech in a relatively simple way. At the same time, taken as phonological representations, such gestural analyses offer many of the same advantages provided by recent nonlinear phonological theories, and we give examples of how gestural analyses simplify the description of such ‘complex segments’ as /s/–stop clusters and prenasalised stops. Thus, gestural structures can be seen as providing a principled link between phonological and physical description.
Fractal analysis of motor imagery recognition in the BCI research

A fractal approach is employed for the brain motor imagery recognition and applied to brain computer interface (BCI). The fractal dimension is used as feature extraction and SVM (Support Vector Machine) as feature classifier for on-line BCI applications. The modified Inverse Random Midpoint Displacement (mIRMD) is adopted to calculate the fractal dimensions of EEG signals. The fractal dimensions can effectively reflect the complexity of EEG signals, and are related to the motor imagery tasks. Further, the SVM is employed as the classifier to combine with fractal dimension for motor-imagery recognition and use mutual information to show the difference between two classes. The results are compared with those in the BCI 2003 competition and it shows that our method has better classification accuracy and mutual information (MI).
Localized proton NMR spectroscopy in the striatum of patients with idiopathic parkinson's disease: a multicenter pilot study

Single voxel proton MRS was used to study brain metabolism in the striatum of patients diagnosed with idiopathic Parkinson's disease (PD). Peak metabolite ratios in long echo time spectra were evaluated in 151 patient spectra and 97 age‐matched control spectra collected at four participating institutions using identical hardware and clinical protocols. Combining data from all ages (27–83 years old) showed no significant difference between patient and control ratios. However, in an elderly subset of patients (51–70 years old), a significant decrease in striatal N‐acetylaspartate (NAA)/choline (Cho) was observed. Also, a significant decrease in the mean NAA/Cho ratio was observed in patients versus controls for patients not being treated with Sinemet (Du Pont Pharm, Wilmingon, DE) (hereafter referred to as levodopa/carbidopa). This result is consistent with the hypothesis that NAA may provide a reversible spectroscopic marker for neuronal dysfunction, although a prospective follow‐up study will be needed to confirm this. Quantitation of MRS would be useful to exclude the possibility that a change in Cho levels affected the NAA/Cho ratios.
Assessment of mitral regurgitation severity by Doppler color flow mapping of the vena contracta.

BACKGROUND Although Doppler color flow mapping is widely used to assess the severity of mitral regurgitation (MR), a simple, accurate, and quantitative marker of MR by color flow mapping remains elusive. We hypothesized that vena contracta width by color flow mapping would accurately predict the severity of MR. METHODS AND RESULTS We studied 80 patients with MR. Vena contracta width was measured in multiple views with zoom mode and nonstandard angulation to optimize its visualization. Flow volumes across the left ventricular outflow tract and mitral annulus were calculated by pulsed-Doppler technique to determine regurgitant volume. Effective regurgitant orifice area was calculated by dividing the regurgitant volume by the continuous-wave Doppler velocity-time integral of the MR jet. The cause of MR was ischemia in 24, dilated cardiomyopathy in 34 mitral valve prolapse in 12, endocarditis in 2, rheumatic disease in 2, mitral annular calcification in 1, and uncertain in 5. Regurgitant volumes ranged from 2 to 191 mL. Regurgitant orifice area ranged from 0.01 to 1.47 cm2. Single-plane vena contracta width from the parasternal long-axis view correlated well with regurgitant volume (r = .85, SEE = 20 mL) and regurgitant orifice area (r = .86, SEE = 0.15 cm2). Biplane vena contracta width from apical views correlated well with regurgitant volume (r = .85, SEE = 19 mL) and regurgitant orifice area (r = .88, SEE = 0.14 cm2). A biplane vena contracta width > or = 0.5 cm was always associated with a regurgitant volume > 60 mL and a regurgitant orifice area > 0.4 cm2. A biplane vena contracta width < or = 0.3 cm predicted a regurgitant volume < 60 mL and a regurgitant orifice area < 0.4 cm2 in 24 of 29 patients. No other parameter, including jet area, left atrial size, pulmonary flow reversal, or semiquantitative MR grade, correlated significantly with regurgitant volume or regurgitant orifice area in a multivariate analysis. CONCLUSIONS Our results demonstrate that careful color flow mapping of the vena contracta of the MR jet provides a simple quantitative assessment of MR that correlates well with quantitative Doppler techniques.
I'll just look that up in the concordancer: integrating corpus consultation into the language learning environment

Corpus consultation is gaining in prominence as a language learning tool. This approach to language analysis has made its way into the language classroom where its presence ranges from the presentation of printed concordance data with accompanying tasks to the direct use of concordancing software by learners themselves to carry out analyses of self-selected language features. Activities of the latter kind place concordancers fairly and squarely alongside dictionaries and grammar books as significant tools in the language learner's kit. Recent studies have indicated that research is needed to provide support for the integration of corpus consultation into the language learning environment. Here, the response of second year undergraduate EAL students was examined to a course assignment that required them to investigate language features characteristic of a range of genres using a popular concordancing software program, Wordsmith Tools. Results showed that students generally had a positive response to corpus consultation and were able to identify benefits clearly, particularly in the areas of vocabulary acquisition and increased awareness of syntactic patterns. Most of the students indicated they are likely to use concordancers in the future and this interest is strongest amongst those students who have clear goals for their language learning. Course assignments produced by the students demonstrated an increased awareness of lexico-grammatical usage, particularly with regard to vocabulary use, phrases and colligational patterns. A number of obstacles to greater uptake of concordancing are identified and suggestions are made to overcome those obstacles.
Adaptive transversal filters with delayed coefficient adaptation

In practical applications of the LMS adaptive transversal filtering algorithm, a delay in the coefficient update is sometimes required. In this paper, the behavior of the Delayed LMS (DLMS) algorithm is studied. A stablility bound for the step size is derived. The relation between the step size and the convergence speed and the effect of the delay on the convergence behavior are also investigated. Computer simulation results are provided and compared with the analytical results.
Searching a valid hand configuration to perform a given grasp

This paper presents a methodology to find a configuration of an anthropomorphic hand that satisfies some desire contact contact constraints on an object. The proposed approach has an on-line procedure, which iteratively looks for the final hand configuration starting from an initial one using the hand Jacobian, and an off-line procedure, which determines a set of initial configurations for the on-line procedure, using for this purpose heuristics obtained from the observation of the hand grasping an object and a statistical analysis of test trials. The off-line work is intended to simplify and speed up the on-line work that must deal with a thirty degrees of freedom system including the existence of close kinematics chains. The paper includes details of the approach implementation as well as some examples to illustrate the procedure performance.
Dynamic Data Mining Based on Cloud Model

Abstrac t—With its continuing in-depth research, data mining has become gradually mature. In comparison with static data mining, dynamic data mining is being appreciated for its capacities of dealing with the data which are uncertain, irregular and obviously time-related. This paper, based on the cloud model theory, proposes a new method of dynamic data mining, which effectively helps handle the dynamic data and achieve some practical values.
Decentralized control design for a cable-stayed bridge benchmark

The objective of this investigation is to present a decentralized control design for a cable-stayed bridge benchmark which was recently proposed within the structural control community to design and compare control schemes. The cable-stayed bridge has two towers as main structural elements. This naturally suggests the decomposition of a finite element overall dynamic model into two disjoint subsystems by assuming that the overall dynamics is determined mainly by the behavior of the subsystems and that interconnections have only a small dynamic effect. The idea of decentralization of control has been numerically tested using a SIMULINK scheme and compared to the benchmark sample centralized control design using the LQG design. The performance of the decentralized control design has been assessed by means of given benchmark evaluation criteria, eigenvalue analysis and time responses. The dynamics of the closed-loop benchmark model with the local controllers exhibits an acceptable behaviour though slightly worse than in the centralized case.
Management of early aggressive rheumatoid arthritis during pregnancy and lactation

This survey outlines the problems of drug therapy in women with early aggressive rheumatoid arthritis (RA) who desire children, are pregnant, or are lactating. Solutions for treatment that benefit the mother and do not harm the fetus or the breast-fed child are discussed. The most effective immunosuppressive drugs alone or in combination are contraindicated during pregnancy and, to a lesser degree, also during lactation. Judicious timing of therapy is therefore necessary, aiming at fast remission of symptoms with the most effective therapy and maintaining quiescent disease with drugs compatible with pregnancy or lactation.
Comparison of parametric and non-parametric representations of speech for recognition

In this paper, we compare several feature sets based on the parametric and non-parametric representations of speech. Parametric representations are reflection coefficients, LPC derived cepstral coefficients (CCs) and line spectral frequencies (LSFs). Non-parametric representations are based on mel-frequency cepstral coefficients (MFCCs). These different representations are evaluated by their scores of recognition, for a speaker independent, isolated word recognizer based on hidden Markov models (HMMs). <<ETX>>
Parsing the L2 input, an overview: Investigating L2 learners’ processing of syntactic ambiguities and dependencies in real-time comprehension

The acquisition of second language (L2) syntax has been central to the study of L2 acquisition, but recently there has been an interest in how learners apply their L2 syntactic knowledge to the input in real-time comprehension. Investigating L2 learners’ moment-by-moment syntactic analysis during listening or reading of sentence as it unfolds — their parsing of the input — is important, because language learning involves both the acquisition of knowledge and the ability to use it in real time. Using methods employed in monolingual processing research, investigations often focus on the processing of temporary syntactic ambiguities and structural dependencies. Investigating ambiguities involves examining parsing decisions at points in a sentence where there is a syntactic choice and this can offer insights into the nature of the parsing mechanism, and in particular, its processing preferences. Studying the establishment of syntactic dependencies at the critical point in the input allows for an investigation of how and when different kinds of information (e.g., syntactic, semantic, pragmatic) are put to use in real-time interpretation. Within an L2 context, further questions are of interest and familiar from traditional L2 acquisition research. Specifically, how native-like are the parsing procedures that L2 learners apply when processing the L2 input? What is the role of the learner’s first language (L1)? And, what are the effects of individual factors such as age, proficiency/dominance and working memory on L2 parsing? In the current paper I will provide an overview of the findings of some experimental research designed to investigate these questions.
Design of digital differentiators for low frequencies

Optimal, maximally accurate digital differentiators (DDS) are derived for the low-frequency range. Exact coefficients used in the proposed DDs can be readily computed from explicit formulas, whereas the optimal (minimas RE) DDs require and optimization program to derive the coefficients. The lower the frequency of differentiation, the better is the performance of the proposed differentiators, making them suitable for many typical applications. >
A new approach to analysing static locative expressions

Abstract As speakers, we are frequently called upon to specify the locations of objects and landmarks in our environment. However, despite the considerable body of work on spatial cognition and semantics (i.e. Levinson 1992, 1996, 2003; Tyler and Evans 2003; Herskovits 1986; Vandeloise 1986), there has been almost no research on the expression of location from a multimodal viewpoint: that is, how do speakers use gesture, as well as speech, to express object location? This paper reports on a filmed study of 10 English speakers and 10 French speakers who were asked to express the locations of 28 objects in two spatial scenes. On the basis of our results we argue that a functional, as opposed to a grammatical, approach to the segmentation and analysis of these sorts of expressions is crucial. Such an approach reflects the fact that different Figures (i.e. objects to be located) can exist simultaneously across speech and gesture. Using filmed examples from our data set, we propose a new definition of static locative expressions and outline a multimodal approach for their analysis in oral discourse.
Full-Wave Performed Suitable Precision Rectification that is in Current Domain and Very for CMOS Implementation

A new approach for implementation of full-wave precision rectifiers in CMOS technology is presented. The most distinguishing feature of this approach is that the rectification is performed in current domain while both input and output signals are voltages. The rectifier has a very simple structure and both noninverting and inverting circuits can be realized with one op-amp, two current mirrors, and six MOS transistors. The performances of the proposed rectifiers are analyzed and dis- cussed. Extensive computer simulation and experimental results obtained with this and other types of precision rectifiers, which demonstrate many advantages of the proposed techniques over others, are presented.
Copyright 2009 by Human Factors and Ergonomics Society, Inc. All rights reserved. 10.1518/107118109X12524443347319

Multimedia instructions, in which information is presented in multiple formats, afford better learning than instructions presented in a single format. Multimedia formatting is either multimodal, using audition (e.g., spoken words) and vision (e.g., pictures), or unimodal, using text and pictures. Spatial ability has been found to moderate the multimodal multimedia effect, but not the unimodal effect with visual materials. In the current study, participants received unimodal lessons about three physical systems in textual or pictorial-and-textual format. The multimedia effect was greater for participants who performed well on a cube rotation task. A second measure of spatial ability, the surface development task, did not interact significantly with instructional format. We discuss the factors that might lead to a discrepancy between the two measures of spatial ability in predicting the effects of instructional format. Results suggest that high spatial ability learners, in particular, benefit from the addition of pictures to textual instructions (the unimodal multimedia effect).
Slepian-Wolf SPIHT video coding scheme without feedback

The proposed scheme is an extension from Set Partitioning In Hierarchical Trees (SPIHT) algorithm. It combines the SPIHT algorithm with Slepian-Wolf (SW) theorem. In most of the video coding scheme that adapted the Slepian-Wolf or Wyner-Ziv (WZ) theorem, a feedback channel is usually incorporated to correct errors that occurred at the decoder side. The used of feedback is a big drawback in system where latency or memory constraints are a critical issue. In order to investigate the possibility in tolerating the errors, and achieve a reasonable result, the feedback channel is not adapted in the proposed scheme. In the proposed scheme, the video sequence will be divided into two types, which defined as Key frame and SW frame. The Key frame is intracoded with SPIHT algorithm alone, while the SW frame is coded using the proposed algorithm. First of all, the SW frame is coded using the SPIHT algorithm to extract the Significant bits, Sign bits, and Refinement bits. Then, the Refinement bits will be further coded by a Coset encoder. The results show that the proposed scheme is perform slightly better than using SPIHT algorithm alone.
Memory Compaction Scheme with Block-Level Buffer for Large Flash Memory

In flash memory, many previous garbage collection methods only merge blocks statically and do not consider the contents of buffer. These schemes may cause more unnecessary block erase operations and page copy operations. However, since flash memory has the limitation of maximum rate and life cycle to delete each block, an efficient garbage collection method to evenly wear out the flash memory region is needed. This paper proposes a memory compaction scheme based on block-level buffer for flash memory. The proposed scheme not only merges the data blocks and the corresponding log block, but also searches for the block-level buffer to find the corresponding buffer blocks. Consequently, unnecessary potential page copying operations and block erasure operations could be reduced, thereby improving the performance of flash memory and prolonging the lifetime of flash memory.
Decision trees for probabilistic top-down and bottom-up integration

Scene interpretation systems need to match (often ambiguous) lowlevel input data to concepts from a high-level ontology. In many domains, these decisions are uncertain and bene t greatly from proper context. In this paper, we demonstrate the use of decision trees for estimating class probabilities for regions described by feature vectors, and show how context can be introduced in order to improve the matching performance. Eine der Aufgaben, die Szeneninterpretationssysteme erledigen, ist die Zuordnung von mehrdeutigen Bildverarbeitungsergebnissen zu Konzepten aus einer Ontologie. Diese Entscheidungen sind in vielen Domanen unsicher und konnen durch Kontextinformationen verbessert werden. In diesem Bericht stellen wir einen Einsatz vor, wo die Klassenwahrscheinlichkeiten fur Bildregionen mittels Entscheidungsbaumen geschatzt werden, und wir zeigen wie Kontextinformationen genutzt werden konnen, um die Klassi kationsrate zu verbessern.
Design and evaluation of sparse quantization index modulation watermarking schemes

In the past decade the use of digital data has increased significantly. The advantages of digital data are, amongst others, easy editing, fast, cheap and cross-platform distribution and compact storage. The most crucial disadvantages are the unauthorized copying and copyright issues, by which authors and license holders can suffer considerable financial losses. Many inexpensive methods are readily available for editing digital data and, unlike analog information, the reproduction in the digital case is simple and robust. Hence, there is great interest in developing technology that helps to protect the integrity of a digital work and the copyrights of its owners. Watermarking, which is the embedding of a signal (known as the watermark) into the original digital data, is one method that has been proposed for the protection of digital media elements such as audio, video and images. In this article, we examine watermarking schemes for still images, based on selective quantization of the coefficients of a wavelet transformed image, i.e. sparse quantization-index modulation (QIM) watermarking. Different grouping schemes for the wavelet coefficients are evaluated and experimentally verified for robustness against several attacks. Wavelet tree-based grouping schemes yield a slightly improved performance over block-based grouping schemes. Additionally, the impact of the deployment of error correction codes on the most promising configurations is examined. The utilization of BCH-codes (Bose, Ray-Chaudhuri, Hocquenghem) results in an improved robustness as long as the capacity of the error codes is not exceeded (cliff-effect).