Miracle-dz/UniFAR-FTUs huggingface dataset:
Single-ensemble-based eigen-processing methods for color flow imaging - Part II. The matrix pencil estimator

Parametric spectral estimators can potentially be used to obtain flow estimates directly from raw slow-time ensembles whose clutter has not been suppressed. We present a new eigen-based parametric flow estimation method called the matrix pencil, whose principles are based on a matrix form under the same name. The presented method models the slow-time signal as a sum of dominant complex sinusoids in the slow-time ensemble, and it computes the principal Doppler frequencies by using a generalized eigenvalue problem formulation and matrix rank reduction principles. Both fixed-rank (rank-one, rank-two) and adaptive-rank matrix pencil flow estimators are proposed, and their potential applicability to color flow signal processing is discussed. For the adaptive-rank estimator, the nominal rank was defined as the minimum eigen-structure rank that yields principal frequency estimates with a spread greater than a prescribed bandwidth. In our initial performance evaluation, the fixed-rank matrix pencil estimators were applied to raw color flow data (transmit frequency: 5 MHz; pulse repetition period: 0.175 ms; ensemble size: 14) acquired from a steady flow phantom (70 cm/s at centerline) that was surrounded by rigid-tissue-mimicking material. These fixed-rank estimators produced velocity maps that are well correlated with the theoretical flow profile (correlation coefficient: 0.964 to 0.975). To facilitate further evaluation, the matrix pencil estimators were applied to synthetic slow-time data (transmit frequency: 5 MHz; pulse repetition period: 1.0 ms; ensemble size: 10) modeling flow scenarios without and with tissue motion (up to 1 cm/s). The bias and root-mean-squared error of the estimators were computed as a function of blood-signal-to-noise ratio and blood velocity. The matrix pencil flow estimators showed that they are comparatively less biased than most of the existing frequency-based flow estimators like the lag-one autocorrelator.
Student-Centered Teaching for Increased Participation.

Part I of this booklet introduces the concept of the student-centered approach to teaching with a deription of the salient features of student-centered activities. These features have characteristics that increase student participation: (1) the ability to create; (2) divergent rather than convergent thinking; (3) exercising curiosity and being allowed to act upon it; (4) allowing for a free exchange of ideas;. (5) sharing of control; (6) a feeling of success at accomplishing a task; (7) varying resources; (8) helping/working with others; and (9) exploring the affective domain. A model is described that is based on these characteristics and can be used in the classroom with maximum input from both teacher and students. Part II offers outlines for suggested class activities to increase student participation. These include minicourses, current events, vocabulary, role playing, games, a projects fair, and using the community as a resource. (JD) *********************************************************************** Reproductions supplied by EDRS are the best that can be made from the original document. ***********************************************4*********************** CD Student-Centered Teaching for Increased Participation
A system to recommend dishes by the real time recognition of dining activity

Enhancement of dining environment by information technology is explored in this paper. A table system to recommend additional dishes according to the dining status is introduced. By modeling dining behavior as the sequence of eating, dining status is estimated from the history of bites. The system recognizes the user's dining activity in real time, and stores its history. It is expected to be useful in the environment where additional dishes are often ordered such as a pub. By iterative design, the hand recognition method in the system was changed from the use of a visual marker in the first prototype to image processing in the current prototype. Evaluation was conducted to show the improvement of the recognition.
Measuring the Quality of Software on the basis of Time Gap and Quality Gap with Standard Model-II

While dealing with students in making their projects, we found that students are ready to cope up the standard software defined by standard body like IEEE/ACM. In this paper we have set the quality value of standard software on the basis of quality function for each month and comparing with standard software and software being developed. The novel idea of this paper is to calculate the difference in quality of the software being developed and the standard software which has been decided upon as the criteria for comparison. The system also calculating how much effort needed and what should be the speed of software being developed. This work is the second part of a Understanding the State of Quality of Software on the basis of Time Gap, Quality Gap and Difference with Standard Model, which moves towards practical implementation from theoretical foundation [1]. In order to obtain results we have used an indigenous tool for calculating the quality gap and time gap at a particular point of time and for the graphical representation of data, we have used Microsoft office 2007 graphical chart. For finding the mean, standard deviation, T value and P value, we have used SPSS version 16.
Designing Cloud Services Adhering to Government Privacy Laws

Cloud computing delivers on-demand services with ? exibility and scalability on a simple pay-per-use basis. However, major concerns regarding to security and privacy hinder a broad adoption by users, especially small- and medium-sized enterprises (SMEs). This is because existing guidelines, IT standards and laws on security and privacy do not take virtual environments into account. Thus, they present a significant challenge for cloud providers to comply with. As a result, the cloud providers are unable to provide SMEs with an assurance. In order to address these privacy and security issues, this paper presents the Cloud Data Security (CloudDataSec) project that aims to design cloud services adhering to government privacy laws. In particular, this paper introduces a six-layer security model for cloud computing and three level of security assurance for SMEs to take advantage of. Finally, Security Management as a Service (SMaaS) modules, as proposed in this paper, enable users to apply necessary security and privacy operations, based on the sensitivity of their data.
Image hallucination with primal sketch priors

We propose a Bayesian approach to image hallucination. Given a generic low resolution image, we hallucinate a high resolution image using a set of training images. Our work is inspired by recent progress on natural image statistics that the priors of image primitives can be well represented by examples. Specifically, primal sketch priors (e.g., edges, ridges and corners) are constructed and used to enhance the quality of the hallucinated high resolution image. Moreover, a contour smoothness constraint enforces consistency of primitives in the hallucinated image by a Markov-chain based inference algorithm. A reconstruction constraint is also applied to further improve the quality of the hallucinated image. Experiments demonstrate that our approach can hallucinate high quality super-resolution images.
Inequality-based Manipulator-Obstacle Avoidance Using the LVI-based Primal-dual Neural Network

An important issue in the motion planning and control of redundant manipulators is the online obstacle-avoidance. This paper presents the algorithmic and computational aspects of inequality-based criteria/formulations for obstacle avoidance of PA10 robot arm. The formulations are unified as a quadratic- programming (QP) problem. In addition to handling environmental obstacles, this unified QP problem formulation could avoid joint physical limits as well as optimize various performance indices. Motivated by the online solution to such robotic optimization problems, four QP online algorithms/solvers are reviewed, especially the LVI-based primal-dual neural network. The inequality-based QP formulation and its solution for obstacle avoidance are substantiated by simulation results. This simulation also shows that joint-acceleration information could be generated online by using dynamic QP solvers for torque control even in the velocity-level redundancy resolution.
String-Matching with Automata

We present an algorithm to search in a text for the patterns of a regular set. Unlike many classical algorithms, we assume that the input of the algorithm is a deterministic automaton and not a regular expression. Our algorithm is based on the notion of failure function and mainly consists of eﬃciently constructing a new deterministic automaton. This construction is shown to be eﬃcient. In particular, its space complexity is linear in the size of the obtained automaton.
Resveratrol Metabolism in a Non-Human Primate, the Grey Mouse Lemur (Microcebus murinus), Using Ultra-High-Performance Liquid Chromatography–Quadrupole Time of Flight

The grey mouse lemur (Microcebus murinus) is a non-human primate used to study the ageing process. Resveratrol is a polyphenol that may increase lifespan by delaying age-associated pathologies. However, no information about resveratrol absorption and metabolism is available for this primate. Resveratrol and its metabolites were qualitatively and quantitatively analyzed in male mouse-lemur plasma (after 200 mg.kg−1 of oral resveratrol) by ultra-high performance liquid chromatography (UHPLC), coupled to a quadrupole-time-of-flight (Q-TOF) mass spectrometer used in full-scan mode. Data analyses showed, in MSE mode, an ion common to resveratrol and all its metabolites: m/z 227.072, and an ion common to dihydro-resveratrol metabolites: m/z 229.08. A semi-targeted study enabled us to identify six hydrophilic resveratrol metabolites (one diglucurono-conjugated, two monoglucurono-conjugated, one monosulfo-conjugated and two both sulfo- and glucurono-conjugated derivatives) and three hydrophilic metabolites of dihydro-resveratrol (one monoglucurono-conjugated, one monosulfo-conjugated, and one both sulfo- and glucurono-conjugated derivatives). The presence of such metabolites has been already detected in the mouse, rat, pig, and humans. Free resveratrol was measurable for several hours in mouse-lemur plasma, and its two main metabolites were trans-resveratrol-3-O-glucuronide and trans-resveratrol-3-sulfate. Free dihydro-resveratrol was not measurable whatever the time of plasma collection, while its hydrophilic metabolites were present at 24 h after intake. These data will help us interpret the effect of resveratrol in mouse lemurs and provide further information on the inter-species characteristics of resveratrol metabolism.
A lower complexity k best algorithm for multiple input and multiple output detection

This paper presents Multiple Input Multiple Output (MIMO) detection steps using tree search based method known as the ‘K’ best algorithm. This low complexity algorithm is based on probabilistic approach of sphere decoding with self adjustable capability depending on the levels (root, branch, leaf etc.) of a tree. While the tree was searched to estimate the transmitted symbols level by level, the algorithm took into account the effect of the undetected symbols in the search criteria. Simulation results showed that the proposed method reduced complexity (in terms of the average number of visited nodes) about 10% for higher (medium to high) signal to noise ratio (SNR) values without degrading the system BER performance. Key words: Multiple input multiple output, sphere decoding, K best algorithm.
Evaluation of Cervical Myelopathy Using Apparent Diffusion Coefficient Measured by Diffusion-Weighted Imaging

BACKGROUND AND PURPOSE: Intramedullary high signal intensity on T2-weighted imaging was frequently observed in patients with CSM, although this finding does not well correlate with severity or prognosis of CSM. Instead of this nonquantitative information, another measure for CSM is desired. The work was focused primarily on assessing the relationships between ADC values and clinical and radiologic severity for the diagnosis of CSM. MATERIALS AND METHODS: The relationship between ADC values measured in the spinal cord at 322 intervertebral levels of 66 patients and clinical factors were analyzed. RESULTS: ADC values in the spinal cord significantly increased with the degree of spinal cord compression and decreased with time after decompression surgery. Patients with higher ADC values had lower preoperative JOA scores and tended to show poorer clinical recovery. CONCLUSIONS: ADC values appear to indicate the severity of spinal cord compression and clinical recovery after decompression surgery, so spondylotic myelopathy may partly be predicted preoperatively by using ADC values.
Reasoner-Based Flow Context Aggregation

The convergence of concepts from context-aware computing with adaptive networking has enabled the possibility of creating context-aware networks for ubiquitous computing. We focus on the practical aspects of their realization and look at the performance of a reasoner in processing and aggregating context information within such networks. Although the work we describe here is focused on a specific application domain, the preliminary results we present may be useful to designers of other ubiquitous computing systems and networks in general.
THE HOST GALAXIES OF THREE RADIO-LOUD QUASARS : 3 C 48 , 3 C 345 , AND B 2 1425 + 267 1

Observations with the Wide-Field/Planetary Camera-2 of the Hubble Space Telescope (HST) are presented for three radio-loud quasars: 3C 48 (z = 0.367), B2 1425+267 (z = 0.366), and 3C 345 (z = 0.594). All three quasars have luminous (∼ 4 × L∗) galaxies as hosts, which are either elliptical (B2 1425+267 and 3C 345) or interacting (3C 48), and all hosts are 0.5 − 1.0 mag bluer in (V −I) than other galaxies with the same overall morphology at similar redshifts to the quasars. The host of 3C 48 has many H II regions and a very extended tidal tail. All nine of the radio-loud quasars studied here and in Bahcall et al. (1997) either have bright elliptical hosts or occur in interacting systems. There is a robust correlation between the radio emission of the quasar and the luminosity of host galaxy; the radio-loud quasars reside in galaxies that are on average ∼ 1 mag brighter than hosts of the radio-quiet quasars. Subject headings: galaxies:clusters:general − quasars:general Based on observations with the NASA/ESA Hubble Space Telescope, obtained at the Space Telescope Science Institute, which is operated by the Association of Universities for Research in Astronomy, Inc., under NASA contract NAS5-26555.
Extraction for finger vein pattern based on PDE

In this paper we discussed how to apply partial differential equation (PDE) method to image denoising and vein extraction for the finger vein image, and proposed two new algorithms based on PDE. One is a new denoising model, which used the new diffusion function based on the P-M model and combined with fourth-order PDE model to transform the original model structure. Another is a new segmentation model, which introduced the image gradient information to the local binary fitting item, and made the new model have a good performance of both global optimization and local regulation. The performance of new models was verified by real low-quality finger vein image and the experiment results showed that the new denoising model could increase the Signal-to-Noise Ratio (SNR) up 5 dB and maintain the features of finger vein better, the new segmentation model can well segment the vein pattern.
Spatial multiplexing over Rician fading channels : Linear precoding transmission strategies

Using information about the channel at the transmittercan improve the performance of multi-input multi-output(MIMO) communication systems. When perfect channelstate information (CSI) is available, data can be multiplexed and optimized over independent spatial channels.However, when the available channel information is imperfect or partial, crosstalk between the spatial channels isinevitable complicating the design of the transmitted data.This paper extends our earlier work on practical bit andpower loading algorithmsthat enable the use of partial CSIfor spatial multiplexing, to the case of correlated Ricianfading CSI models. Furthermore, the bit and power loading algorithm is updated for improved BER performanceas well as lower computational complexity.
Experimental investigation on the complexity-performance relations in Multilayer

This paper describes experimental investigations for exploring the dependence of Neural Networks behavior and capabilities on their complexity. Characteristic behavior patterns are worked out through an artificial problem. We analyze in particular the dependency of overfitting on NN complexity, characterize the bias-variance evolution of the error, and the effects of two regularization techniques. Results put in evidence the discrepancy between effective and theoretical capabilities of MLPs. It is also stressed that rules derived from general statistical results must be used with care in the case of neural networks.
The Catabolite Control Protein E (CcpE) Affects Virulence Determinant Production and Pathogenesis of Staphylococcus aureus*

Background: Carbon metabolism and virulence are often linked in pathogenic bacteria. Results: Deletion of the catabolite control protein E (CcpE) affects the expression of virulence factors and pathogenicity of Staphylococcus aureus. Conclusion: Our data suggest that CcpE acts as an attenuator of virulence in S. aureus. Significance: CcpE may serve to link S. aureus nutritional status to virulence determinant biosynthesis. Carbon metabolism and virulence determinant production are often linked in pathogenic bacteria, and several regulatory elements have been reported to mediate this linkage in Staphylococcus aureus. Previously, we described a novel protein, catabolite control protein E (CcpE) that functions as a regulator of the tricarboxylic acid cycle. Here we demonstrate that CcpE also regulates virulence determinant biosynthesis and pathogenesis. Specifically, deletion of ccpE in S. aureus strain Newman revealed that CcpE affects transcription of virulence factors such as capA, the first gene in the capsule biosynthetic operon; hla, encoding α-toxin; and psmα, encoding the phenol-soluble modulin cluster α. Electrophoretic mobility shift assays demonstrated that CcpE binds to the hla promoter. Mice challenged with S. aureus strain Newman or its isogenic ΔccpE derivative revealed increased disease severity in the ΔccpE mutant using two animal models; an acute lung infection model and a skin infection model. Complementation of the mutant with the ccpE wild-type allele restored all phenotypes, demonstrating that CcpE is negative regulator of virulence in S. aureus.
Listening to the voices of children: an illuminative evaluation of the teaching of early reading in the light of the phonics screening check

© 2019 John Wiley & Sons, Ltd. The phonics screening check (PSC) was introduced in England in 2012 for children in Year 1. There have been criticisms in relation to its reliability and appropriateness as an assessment tool for early reading although supporters of the PSC see it as a valuable tool in securing progress in reading. The DfE-funded evaluation concluded, however, that it “did not find any evidence of improvements in pupils' literacy performance, or in progress, that could be clearly attributed to the introduction of the PSC”. This article reports some of the findings from a doctoral study that sought to illuminate the voices of those most affected by the PSC: children in Year 1 and their teachers. The study used an illuminative evaluation methodology (Kushner, 2017) and focused on a range of schools in a large city, selected for their diversity in relation to attainment data (PSC and reading) and socio-economic status. The findings demonstrate the negative backwash from the assessment process which has influenced the way that phonics is taught and so raises some questions for teachers and policy-makers about the approach to the teaching of early reading in the light of the PSC.
A Convection Chamber for Measuring Ice Crystal Growth Dynamics

We present the design of a general-purpose convection chamber that produces a stable environment for studying the growth of ice crystals from water vapor in the presence of a background gas. Crystals grow in free fall inside the chamber, where the temperature and supersaturation are well characterized and surpris- ingly uniform. As crystals fall and land on a substrate, their dimensions are measured using direct imaging and broad-band interferometry. We also present a parameterized model of the supersaturation inside the chamber that is based on differential hygrometer measurements. Using this chamber, we are able to observe the growth and morphology of ice crystals over a broad range of conditions, as a function of temperature, supersaturation, gas constituents, gas pressure, growth time, and other parameters.
Appropriate Anaphor and

We describe a system for contextually appropriate pro-form generation for Turkish. It uses Binding Theory and Centering Theory to model intrasentential and intersentential reference. We describe the rules for Turkish, and their computational treatment. A cascaded method for anaphor and pronoun generation is proposed for handling pro-drop and constraints on pronominalization. The system has been tested as a standalone pro-form generator and also as a reference planning component of a transfer-based MT system.
Measuring IEEE 802.11p Performance for Active Safety Applications in Cooperative Vehicular Systems

In this paper, we present a measurement study of application layer performance in IEEE 802.11p vehicular networks. More specifically, our focus is on active safety applications, which are based on the exchange of beacon messages containing status information between close-by vehicles. We consider two performance metrics relevant to active safety applications: the first is application-layer goodput, which can be used to optimize congestion control techniques aimed at limiting the beaconing load on the wireless channel; the second is the beacon reception rate, which is useful to estimate the level of situation awareness achievable onboard vehicles. Our measurements were conducted using a prototypal, 802.11p compliant communication device developed by NEC, in both stationary and mobile V2V scenarios, and disclosed several useful insights on 802.11p application-level performance. To the best of our knowledge, the ones presented in this paper are the first application-level measurements of IEEE 802.11p based vehicular networks reported in the literature.