Miracle-dz/UniFAR-FTUs huggingface dataset:
Proto-Oncogenic Src Phosphorylates EB1 to Regulate the Microtubule-Focal Adhesion Crosstalk and Stimulate Cell Migration

Cell migration, a complex process critical for tumor progression and metastasis, requires a dynamic crosstalk between microtubules (MTs) and focal adhesions (FAs). However, the molecular mechanisms underlying this event remain elusive. Herein we identify the proto-oncogenic protein Src as an important player in the regulation of the MT-FA crosstalk. Src interacts with and phosphorylates end-binding protein 1 (EB1), a member of MT plus end-tracking proteins (+TIPs), both in cells and in vitro. Systematic mutagenesis reveals that tyrosine-247 (Y247) is the primary residue of EB1 phosphorylated by Src. Interestingly, both constitutively activated Src and Y247-phosphorylated EB1 localize to the centrosome and FAs. Src-mediated EB1 phosphorylation diminishes its interactions with other +TIPs, including adenomatous polyposis coli (APC) and mitotic centromere associated kinesin (MCAK). In addition, EB1 phosphorylation at Y247 enhances the rate of MT catastrophe and significantly stimulates cell migration. These findings thus demonstrate that the Src-EB1 axis plays a crucial role in regulating the crosstalk between MTs and FAs to promote cell migration.
Phase Map Generation for Phase Shift Moire Using CUDA

Phase shift Moiré is a very popular and one of the most successful techniques for shape measurement of 3-D objects such as PCB (printed circuit board), TFT (thin film transistor), LCD (Liquid crystal display) etc. Various implementations of phase shift moiré are available for improving accuracy and/or speed. Although, these methods contribute a lot in reducing the computation with some compromise in accuracy, there is a lot of scope of improving the performance of these algorithms with increased accuracy, especially when specialized hardware like GPU is available. GPU contains many core or processing elements that can process the same work concurrently resulting in dramatic increase in performance. In this paper, we propose the parallel implementation of the phase shift moiré method on CUDA. A novel method called image stacking method is proposed that can also be used for CUDA implementation of similar algorithms to improve performance. Using this technique, we are able to execute the application 180 times faster compared to the CPU implementation.
Analysis-synthesis of impact sounds by real-time dynamic filtering

This paper presents a sound synthesis model that reproduces impact sounds by taking into account both the perceptual and the physical aspects of the sound. For that, we used a subtractive method based on dynamic filtering of noisy input signals that simulates the damping of spectral components. The resulting sound contains the perceptual characteristics of an impact on a given material. Further, the addition of very few modal contributions-using additive or banded digital waveguide synthesis-together with a bandpass filtering taking into account the interaction with the excitator, allows realistic impact sounds to be synthesized. The synthesis parameters can be linked to a perceptual notion of material and geometry of the sounding object. To determine the synthesis parameters, we further address the problem of analysis-synthesis aiming at reconstructing a given impact sound. The physical parameters are extracted through a time-scale analysis of natural sounds. Examples are presented for sounds generated by impacting plates made of different materials and a piano soundboard.
Upregulation of the Hyperpolarization-Activated Cation Current after Chronic Compression of the Dorsal Root Ganglion

A chronic compression of the DRG (CCD) produces cutaneous hyperalgesia and an enhanced excitability of neuronal somata in the compressed ganglion. The hyperpolarization-activated current (Ih), present in the somata and axons of DRG neurons, acts to induce a depolarization after a hyperpolarizing event and, if upregulated after CCD, may contribute to enhanced neuronal excitability. Whole-cell patch-clamp recordings were obtained from acutely dissociated, retrogradely labeled, cutaneous, adult rat DRG neurons of medium size. Neurons were dissociated from L4 and L5 control DRGs or DRGs that had each been compressed for 5–7 d by L-shaped rods inserted into the intervertebral foramina. Ih, consisting of a slowly activating inward current during a step hyperpolarization, was recorded from every labeled, medium-sized neuron and was blocked by 1 mm cesium or 15 μmZD7288. Compared with control, CCD increased the current density and rate of activation significantly without changing its reversal potential, voltage dependence of activation, or rate of deactivation. Because Ih activation provides a depolarizing current to the neuron, thus enhancing neuronal excitability, our results are consistent with the hypothesis thatIh contributes to hyperalgesia after CCD-induced nerve injury.
Credit Elasticities in Less-Developed Economies: Implications for Microfinance

Policymakers often prescribe that microfinance institutions increase interest rates to eliminate their reliance on subsidies. This strategy makes sense if the poor are rate insensitive: then microlenders increase profitability (or achieve sustainability) without reducing the poor's access to credit. We test the assumption of price inelastic demand using randomized trials conducted by a consumer lender in South Africa. The demand curves are downward sloping, and steeper for price increases relative to the lender's standard rates. We also find that loan size is far more responsive to changes in loan maturity than to changes in interest rates, which is consistent with binding liquidity constraints.
Visualizing Pipeline Sensors Datasets Using Augmented Reality Based Prototype

Pipeline sensors generates significant amount of multivariate datasets during normal and leak situations. Therefore we have developed a data model to effectively manage such data and enhance the computational support needed for the effective data explorations. In this paper we discuss the development of an Augmented Reality (AR) - based scientific visualization system prototype that supports identification, localisation, and 3D visualisation of oil pipeline leakages sensors datasets. A challenge of this approach is to reduce the data inefficiency powered by the disparate, repeated, inconsistent and missing attributes of most available sensors datasets. To handle this challenge, this paper aim to develop an AR-based scientific visualization interface which automatically identifies, localise and visualizes all necessary data relevant to a particularly selected region of interest (ROI) along the virtual pipeline. Necessary system architectural supports needed as well as the interface requirements for such visualizations are also discussed in this paper.
Finite Element Modeling for Electric Field and Voltage Distribution along the Polluted Polymeric Insulator

This paper proposes a new Finite Element Model (FEM) to calculate the electric field and voltage distribution on polymeric insulator. The new model incorporates the real insulator geometrical dimensions, its material properties and self-adaptive two dimensional elements. The 11 kV and 22 kV polymeric insulator models are simulated under clean, polluted and dry band surface conditions using 2D Electrostatic software. The electric field distribution, voltage distribution and heat generated on the surface are investigated in all the surface conditions. The maximum electric filed strength and the place where it occurs has been studied for all the surface conditions. Based on the above investigation, the simulation results have been presented and analyzed for polymeric insulators. The maximum electric field strength value is compared with Boundary Element Model (BEM). The results are in good agreement with the published work.
Education, occupational class and cognitive decline in preclinical dementia

Abstract. We investigated education and occupational influences as markers of cognitive reserve in relation to cognitive performance and decline on multiple fluid and crystallized abilities in preclinical dementia. From the total sample of 702 participants stemming from the OCTO-Twin Study (Sweden), aged 80+ at baseline in 1992–1993, only those who developed dementia during the study period (N = 127) were included in these analyses. Random effects models were used to examine the level of performance at the time of dementia diagnosis and the rates of decline prior to diagnosis. The results demonstrated that both fluid and crystallized abilities decline in preclinical stages, and that education and occupational class have independent moderating roles on the cognitive performance at the time of diagnosis, but not on the rates of decline.
On the Potential of Peer-to-Peer Computing

Popularized by Napster and Gnutella file sharing solutions, peer to peer (P2P) computing has suddenly emerged at the forefront of Internet computing. The basic notion of cooperative computing and resource sharing has been around for quite some time, although these new applications have opened up possibilities of very flexible web-based information sharing. This paper provides a framework for classifying current and future P2P technologies and discusses the unresolved issues in each case. The main motivation for the taxonomy is to identify basic characteristics of peer to peer applications so that the infrastructure to support peer to peer computing can concentrate on these basic characteristics. The paper also presents some directions for future research in this area.
A strategy to recover a high-quality, complete plastid sequence from low-coverage whole-genome sequencing1

Premise of the study: We developed a bioinformatic strategy to recover and assemble a chloroplast genome using data derived from low-coverage 454 GS FLX/Roche whole-genome sequencing. Methods: A comparative genomics approach was applied to obtain the complete chloroplast genome from a weedy biotype of rice from Uruguay. We also applied appropriate filters to discriminate reads representing novel DNA transfer events between the chloroplast and nuclear genomes. Results: From a set of 295,159 reads (96 Mb data), we assembled the chloroplast genome into two contigs. This weedy rice was classified based on 23 polymorphic regions identified by comparison with reference chloroplast genomes. We detected recent and past events of genetic material transfer between the chloroplast and nuclear genomes and estimated their occurrence frequency. Discussion: We obtained a high-quality complete chloroplast genome sequence from low-coverage sequencing data. Intergenome DNA transfer appears to be more frequent than previously thought.
Intensive Academic Interventions for Students With Emotional and Behavioral Disorders

Research has consistently demonstrated that students with emotional and behavioral disorders (EBD) are at risk for academic underachievement. Despite the persistent and strong association between academic problems and EBD, there remains a dearth of information on the process for developing intensive academic interventions for students with EBD. The intent of the present article is to describe and review an experimental approach for developing intensive and individualized academic interventions that provide a potentially valuable method for informing the development of academic interventions. Specifically, brief experimental analyses of academic behavior allow for the comparison of two or more interventions over a relatively short period of time. These formal comparisons provide essential information on which particular practice or set of strategies produce improved responding for the student on the particular skill of interest. The authors contextualize the brief experimental analysis methods within the data-based individualization (DBI) approach advanced by the National Center on Intensive Intervention (NCII) before reviewing recent research on the approach. Results are used to make recommendations for subsequent research and practice.
Oxidant Generation Predominates Around Calcifying Foci and Enhances Progression of Aortic Valve Calcification

Objective—We hypothesized that reactive oxygen species (ROS) contribute to progression of aortic valve (AV) calcification/stenosis. Methods and Results—We investigated ROS production and effects of antioxidants tempol and lipoic acid (LA) in calcification progression in rabbits given 0.5% cholesterol diet +104 IU/d Vit.D2 for 12 weeks. Superoxide and H2O2 microfluorotopography and 3-nitrotyrosine immunoreactivity showed increased signals not only in macrophages but preferentially around calcifying foci, in cells expressing osteoblast/osteoclast, but not macrophage markers. Such cells also showed increased expression of NAD(P)H oxidase subunits Nox2, p22phox, and protein disulfide isomerase. Nox4, but not Nox1 mRNA, was increased. Tempol augmented whereas LA decreased H2O2 signals. Importantly, AV calcification, assessed by echocardiography and histomorphometry, decreased 43% to 70% with LA, but increased with tempol (P≤0.05). Tempol further enhanced apoptosis and Nox4 expression. In human sclerotic or stenotic AV, we found analogous increases in ROS production and NAD(P)H oxidase expression around calcifying foci. An in vitro vascular smooth muscle cell (VSMC) calcification model also exhibited increased, catalase-inhibitable, calcium deposit with tempol, but not with LA. Conclusions—Our data provide evidence that ROS, particularly hydrogen peroxide, potentiate AV calcification progression. However, tempol exhibited a paradoxical effect, exacerbating AV/vascular calcification, likely because of its induced increase in peroxide generation.
One-Pass Multi-View Learning

Multi-view learning has been an important learning paradigm where data come from multiple channels or appear in multiple modalities. Many approaches have been developed in this eld, and have achieved better performance than single-view ones. Those approaches, however, always work on small-size datasets with low dimensionality, owing to their high computational cost. In recent years, it has been witnessed that many applications involve large-scale multi-view data, e.g., hundreds of hours of video (including visual, audio and text views) is uploaded to YouTube every minute, bringing a big challenge to previous multi-view algorithms. This work concentrates on the large-scale multi-view learning for classication and proposes the One-Pass Multi-View (OPMV) framework which goes through the training data only once without storing the entire training examples. This approach jointly optimizes the composite objective functions with consistency linear constraints for dierent views. We verify, both theoretically and empirically, the eectiveness of the proposed algorithm.
A I ] 3 A ug 2 00 4 The SDL Combination Rule of Evidence

In this paper one proposes a new simple combination rule, similar to Dempster’s rule, but the normalizatio n is done for each set with respect to the non-zero sum of its correspon ding mass matrix. A general formula is proposed with several nume rical examples and comparisons with other rules for combinat io of evidence published in literature.
Conspicuous Consumption: A Study of Exceptional Consumer Behavior New York: St. Martin's Press, 1981. Pp. x, 156. $25.00.

The contributions of Thorstein Veblen to economic thought were and still are largely ignored in Great Britain. The flow of economic ideas across the Atlantic has been very much a one-way passage with the exception of minor disputations over arcane matters of detail as in the capital controversy between the two Cambridges. John A. Hobson did show his awareness of the work of Veblen in a biographical volume that treated of his ideas, but then Hobson was outside the mainstream of British economics, having disgraced himself by not accepting Say's Law in the late nineteenth century. The first recognition of Veblen's work in England was in a review in The Economic Journal of an English edition of The Theory of the Leisure Class in 1925. Now comes from Britain a volume on conspicuous consumption some eighty-two years after the initial U.S. publication of The Theory of the Leisure Class. The author does not set for himself as large a scope as did Veblen. The latter was concerned with the whole process of consumption. Roger S. Mason is concerned largely with that part of the process Veblen labeled "conspicuous" and he further limits himself to that part of conspicuous consumption associated with individual consumption. Save for a few fleeting comments at the conclusion of the book he does not consider consumption by corporate bodies, whether private or public. Within this limitation, he studies conspicuous consumption in "traditional," "achieving," and "affluent" societies. Before carrying out his analysis he examines the treatment of conspicuous consumption in eco
A Biologically Inspired Model for Coding Sensorimotor Experience Leading to the Development of Pointing Behaviour in a Humanoid Robot

Robots are gaining more attention in the neuroscientific community as means of verifying theoretical models of social skill development. In particular, humanoid robots which resemble dimensions of a child offer a controlled platform to simulate interactions between humans and infants. Such robots equipped with biologically inspired models of social and cognitive skill development might provide invaluable insights into learning mechanisms infants employ when interacting with others. One such mechanism which develops in infancy is the ability to share and direct attention of interacting participants. Pointing behaviour underlies joint attention and is preceded by hand-eye coordination. Here, we attempt to explain how pointing emerges from sensorimotor learning of hand-eye coordination in a humanoid robot. A robot learned joint configurations for different arm postures using random body babbling. Arm joint configurations obtained in babbling experiment were used to train biologically inspired models based on self-organizing maps. We train and analyse models with various map sizes and depending on their configuration relate them to different stages of sensorimotor skill development. Finally, we show that a model based on self-organizing maps implemented on a robotic platform accounts for pointing gestures when a human presents an object out of reach for the robot.
A Unification of the Essence of Goal-Oriented Requirements Engineering

Goal-oriented requirements engineering has been extensively studied and it certainly has a lot of appeal and potential. However, it is not (yet) in wide-spread industrial use. We conjecture as a major reason that the existing approaches are somewhat isolated and generally too complex. The latter reason makes them difficult to apply in real-world projects. Therefore, we distill the essence of goal-oriented requirements engineering and unify it in a simple and comprehensive approach. We also connect it with more common approaches like scenario based requirements engineering (including use cases). As another step towards better applicability, we define a metamodel for a modeling language that allows representing all kinds of goals and their relationships in UML style.
Fluctuations of the front in a one-dimensional model for the spread of an infection

We study the following microscopic model of infection or epidemic reaction: red and blue particles perform independent nearest-neighbor continuous-time symmetric random walks on the integer lattice ZZ with jump rates DRDR for red particles and DBDB for blue particles, the interaction rule being that blue particles turn red upon contact with a red particle. The initial condition consists of i.i. d. Poisson particle numbers at each site, with particles at the left of the origin being red, while particles at the right of the origin are blue. We are interested in the dynamics of the front, defined as the rightmost position of a red particle. For the case DR=DBDR=DB, Kesten and Sidoravicius established that the front moves ballistically, and more precisely that it satisfies a law of large numbers. Their proof is based on a multi-scale renormalization technique, combined with approximate sub-additivity arguments. In this paper, we build a renewal structure for the front propagation process, and as a corollary we obtain a central limit theorem for the front when DR=DBDR=DB. Moreover, this result can be extended to the case where DR>DBDR>DB, up to modifying the dynamics so that blue particles turn red upon contact with a site that has previously been occupied by a red particle. Our approach extends the renewal structure approach developed by Comets, Quastel and Ramirez for the so-called frog model, which corresponds to the DB=0DB=0 case.
Model Predictive Frequency Control employing stability constraints

A model predictive control (MPC) based control scheme for frequency control (MPFC) in electric power systems using generic energy storage systems is presented. Closed-loop stability is obtained via the incorporation of stability constraints based on Lyapunov theory and the concept of passivity. The proposed MPFC schemes, guaranteeing closed-loop stability, are derived for one-area and two-area power system models. For the two-area power system, coordinated (centralized) and uncoordinated (decentralized) MPFC schemes are implemented. Stability properties were derived and simulated. Passivity and CLF based MPFC schemes have a generally better control performance than conventional frequency control and MPFC. It is notably shown that well-known passivity properties, i.e. interconnections of passive subsystems are also passive, allows for good scalability of passivity based MPFC.
Differential Pattern of Expression and Sugar Regulation of Arabidopsis thaliana ADP-glucose Pyrophosphorylase-encoding Genes*

ADP-glucose pyrophoshorylase (ADP-Glc PPase) catalyzes the first and limiting step in starch biosynthesis. In plants, the enzyme is composed of two types of subunits (small and large) and is allosterically regulated by 3-phosphoglycerate and phosphate. The pattern of expression and sugar regulation of the six Arabidopsis thaliana ADP-Glc PPase-encoding genes (two small subunits, ApS1 and ApS2; and four large subunits, ApL1–ApL4) has been studied. Based on mRNA expression, ApS1 is the main small subunit or catalytic isoform responsible for ADP-Glc PPase activity in all tissues of the plant. Large subunits play a regulatory role, and the data presented define a clear functional distinction among them. ApL1 is the main large subunit in source tissues, whereas ApL3 and, to a lesser extent, ApL4 are the main isoforms present in sink tissues. Thus, in source tissues, ADP-Glc PPase would be finely regulated by the 3-phosphoglycerate/phosphate ratio, whereas in sink tissues, the enzyme would be dependent on the availability of substrates for starch synthesis. Sugar regulation of ADP-Glc PPase genes is restricted to ApL3 and ApL4 in leaves. Sugar induction of ApL3 and ApL4 transcription in leaves allows the establishment of heterotetramers less sensitive to the allosteric effectors, resembling the situation in sink tissues. The results presented on the expression pattern and sugar regulation allow us to propose a gene evolution model for the Arabidopsis ADP-Glc PPase gene family.