<b>BACKGROUND AND PURPOSE:</b> We sought to derive regional cerebral blood flow using vessel flows from quantitative MR angiography (qMRA). <b>MATERIALS METHODS:</b> Flow rates in the 15 major arteries were measured on retrospectively gated fast 2D phase-contrast obtained 83 healthy adult volunteers (age range, 24–74 years; mean, 42 years). The arterial network of brain was partitioned into 12 different regions, which calculated arteries. <b>RESULTS:</b> mean and regions calculated. total...

<h3>BACKGROUND AND PURPOSE:</h3> Large-vessel cerebral blood flow quantification has emerged as a potential predictor of stroke risk. QMRA uses phase-contrast techniques to noninvasively measure vessel flows. To evaluate the in vivo accuracy for measuring effects progressive arterial stenosis, we compared this technique with invasive measurements from sonographic transit-time probe canine model. <h3>MATERIALS METHODS:</h3> A was implanted around CCA hound dogs (<i>n</i> = 4) under general...

This letter presents a CMOS on-off keying 3-5 GHz ultra-wideband (UWB) transmitter with low complexity, power and high speed. In the transmitter, new differential narrow triangular pulse generator using push pull integrating technique was designed for reducing quiescent current common-mode interference, complementary switch mode voltage controlled ring oscillator (VCRO) proposed by breaking oscillation loop instead of to avoid base-band energy without extra shaping filter. Without delay...

Life events are important risk factors for depression and post-traumatic stress disorder (PTSD). Physical activity is a beneficial behavior to physiological psychological health. While it has not been reported at present the combined effect of physical life on individual PTSD, whether can alleviate risks induced by events.

Presents a recursive inductive learning scheme that is able to acquire hand pose models in the form of disjunctive normal expressions involving multivalued features. Based on an extended variable-valued logic, our rule-based induction system abstract compact rule sets from any set feature vectors describing classifications. The bases which satisfy completeness and consistency conditions are induced refined through five heuristic strategies. A RIEVL algorithm designed escape local minima...

Motivation: The number of ion channels is increasing rapidly. As many them are associated with diseases, they the targets more than 700 drugs. discovery new facilitated by computational methods that predict and their types from protein sequences. Methods: We used SVMProt k-skip-n-gram to extract feature vectors channels, obtained 188- 400-dimensional features, respectively. features were combined obtain 588-dimensional features. then employed maximum-relevance-maximum-distance method reduce...

Abstract Graph representation learning has attracted increasing attention in a variety of applications that involve on non‐Euclidean data. Recently, generative adversarial networks(GAN) have been increasingly applied to the field graph learning, and large progress made. However, most GAN‐based methods use strategies directly update vector instead deep embedding mechanism. Compared with models, these are less capable nonlinear features. To address this problem take full advantage essential...

Hand pose recognition for gestural systems must be able to handle variations in user hand anatomy, perspective effects, and the idiosyncrasies of individual gesture presentation. We present an inductive learning system that is derive a rulebase disjunctive normal form formulae which each DNF describes pose, conjunct within constitutes single rule. The applies suite feature detectors during determine salient subset features given set poses. Only reduced needs computed at time. rule-based...

Mixer is an essential component for a communication system. Kinds of resolutions aiming at the improvement mixer performance have been studied so far. In this paper, fully differential structure introduced and used in design with high linearity 0.18 μm CMOS RF process. Simulation results show that input referred P <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">ldB</sub> (IP )of 2.9 dBm, IP3 (IIP3) 16 dBm power gain 0.4 dB consumption 7.2 mW.

A novel CMOS bipolar Gaussian monocycle pulse generator consisting of single to differential circuit, narrow and pulse‐shaping circuit is presented. Without traditional LC filtering or multi‐channel pulses combination, the proposed can be low power complexity. Fabricated in a 180 nm standard process, test results show that generated correctly, consumption 1 mW at 200 MHz repeating frequency chip core area only 0.08 mm 2 under supply 1.8 V, demonstrating with advantages complexity suitable...

In order to overcome the limitations of traditional software metrics and meet urgent demand in large- scale development, this study we constructed static structure model for large-scale by structural mapping visualization. particular, through application complex networks theory, proposed a two-dimension suite based on parameters from perspective engineering. The feasibility validity were testified statistical analyzing data set projects; these experiments show that can not only uncover...

With the development of secondary stock market and increase people's enthusiasm for investment, investment has become a way many people to make profits. Thus, numerical prediction price index hot topic discussion research in market. In this paper, two advanced machine learning classification methods are adopted. The target is whether rise or fall on next trading day. criteria models formed by training set, then effect determined set. At same time, principal component analysis method...

The distributed fusion filtering problem is studied for multi-rate sampling stochastic singular linear systems with multiple sensors and multiplicative noises.The system described at the highest rate different may have lower rates.The white noise in measurement matrix introduced to describe disturbance.Firstly, based on decomposition canonical form, original transformed into fast slow two subsystems.For reduced-order subsystems, local filters (LFs) are given "dummy" random variables.The...

Graph representation learning has been extensively studied in recent years. It proven effective network analysis and mining tasks such as node classification link prediction. Learning method based on neural become mainstream solution because it can efficiently preserve nonlinear characteristics of graph. However, more efficient ways to encode complex graph structures are still being explored. In this paper, for undirected graphs, we present a novel Motif-Aware Generative Adversarial Network...

In this paper, a low-power, low-complexity chopper amplifier was proposed. The equivalent input noise and offset is reduced by using the stabilization technique with chopping frequency of 1.0 MHz. Based on 0.35μm CMOS technology power supply 3.3V, designed successfully chip area 0.02 mm <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sup> 0.25 mW achieved PSRR 112 dB CMRR 108 dB.

For solving the problem of daily water demand in G city, a method particle swarm optimization algorithm combined support vector machine (PSO-SVM) is presented.The expansion constant and penalty factor firstly are selected by (PSO).Secondly, historical demands data trained (SVM).Finally, new independent variables employed to predict next time.By comparing BP SVM with this method, results show that real predicted errors less than other models.Therefore, effective way city G.

A novel binary phase-shift keying (BPSK) demodulator architecture is presented. The design fully digital and based on trigger receiving. can be applied in wireless communications, biological implants, portable facilities because of its low complexity, power high data rate. prototype chip fabricated a 0.35-μm CMOS process the area designed circuits about 0.5 mm <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sup> . Measurement results reveal...

The Procter &amp; Gamble (P&amp;G) fabric-care business is a multibillion dollar organization that oversees global portfolio of products, including household brands such as Tide, Dash, and Gain. Production impacted by steady stream reformulation modifications, imposed new-product innovation constantly changing material supply conditions. In this paper, we describe the creation application novel analytical framework has helped P&amp;G determine ingredient levels product process architectures...

Graph representation learning has attracted increasing attention in a variety of applications that involve on non-Euclidean data. Recently, generative adversarial networks(GAN) have been increasingly applied to the field graph learning, and large progress made. However, most GAN-based methods use strategies directly update vector instead embedding mechanism, which does not make full essential advantages GAN. The advantage GAN is final mechanism rather than itself. To address this problem, we...

In this paper, inspired by the idea that many real networks are composed different sorts of communities, we investigate synchronization property oscillators on such networks. We identify communities intrinsic frequencies probability density $g(ω)$ Kuramoto oscillators. That is to say, in functional different. For a network containing two when community strength strong, only same synchronize. With weakening strength, an interesting phenomenon, \emph{Community Grouping}, appears: although...

We developed a recipe based on Chinese herbal medicines for special medicinal purpose. It is the market demand and clinical feedback of formulas uses. The whole nutrient formula contains raw materials in form powder granules, finished product prepared using dry process. Striking balance when mixing granular uniform manner has always been critical problem terms time cost complicated involves different materials, physical properties these are main reasons hybrid hierarchical nature. A series...