Wittodonnell5395

Accurate inference of functional connectivity is critical for understanding brain function. Previous methods have limited ability distinguishing between direct and indirect connections because of inadequate scaling with dimensionality. This poor scaling performance reduces the number of nodes that can be included in conditioning. Our goal was to provide a technique that scales better and thereby enables minimization of indirect connections.

Our major contribution is a powerful model-free framework, graphical directed information (GDI), that enables pairwise directed functional connections to be conditioned on the activity of substantially more nodes in a network, producing a more accurate graph of functional connectivity that reduces indirect connections. The key technology enabling this advancement is a recent advance in the estimation of mutual information (MI), which relies on multilayer perceptrons and exploiting an alternative representation of the Kullback-Leibler divergence definition of MI. Our second major contribution is the application of this technique to both discretely valued and continuously valued time series.

GDI correctly inferred the circuitry of arbitrary Gaussian, nonlinear, and conductance-based networks. Furthermore, GDI inferred many of the connections of a model of a central pattern generator (CPG) circuit in Aplysia, while also reducing many indirect connections.

GDI is a general and model-free technique that can be used on a variety of scales and data types to provide accurate direct connectivity graphs and addresses the critical issue of indirect connections in neural data analysis.

GDI is a general and model-free technique that can be used on a variety of scales and data types to provide accurate direct connectivity graphs and addresses the critical issue of indirect connections in neural data analysis.Two-dimensional heterostructures formed by stacking layered materials play a significant role in condensed matter physics and materials science due to their potential applications in high-efficiency nanoelectronic and optoelectronic devices. In this paper, the structural, electronic, and optical properties of SiC/CrS2van der Waals heterostructure (vdWHs) have been investigated by means of density functional theory calculations. It is confirmed that the SiC/CrS2vdWHs is energetically and thermodynamically stable indicating its great promise for experimental realization. We find that the SiC/CrS2vdWHs has a direct-band gap and type-II (staggered) band alignment, which can effectively separate the photo-induced electrons and holes pairs and extend their life time. The carrier mobilities of electrons and holes along the armchair and zigzag directions are as high as 6.621 × 103and 6.182 × 104 cm2 V-1 s-1, respectively. Besides, the charge difference and potential drop across the interface can induce a large built-in electric field across the heterojunction, which will further hinder the electron and hole recombination. The SiC/CrS2vdWHs has enhanced optical absorption capability compared to individual monolayers. This study demonstrates that the SiC/CrS2vdWHs is a good candidate for application in the nanoelectronic and optoelectronic devices.Carbon nanotubes (CNTs) have been widely used as the motor and rotor in a rotational transmission nanosystem (RTnS), whose function is to transfer the input rotational frequency of the motor into the output frequency of the rotor through motor-rotor interactions. A wide range of techniques have been explored to achieve a CNT-based RTnS with a stable and adjustable transmission. In this work, a CNT-based rotor is partly immersed into a water box and the associated water-rotor interaction leads to effective manipulation of the transmission efficiency of RTnS. Molecular dynamics simulations are performed on this new RTnS to investigate the dynamic response of the rotor and the local flow field near the water-rotor interface. Various parameters, including ambient temperature, tubes radii, and volume fractions of water in the box (Vf) are examined for their effects on the rotational transmission efficiency. learn more This study offers useful guidelines for the design of stable RTnS with controllable transmission efficiency.Electrical stimulation of neural tissue is used in both clinical and experimental devices to evoke a desired spatiotemporal pattern of neural activity. These devices induce a local field that drives neural activation, referred to as an activating function or generator signal. In visual prostheses, the spread of generator signal from each electrode within the neural tissue results in a spread of visual perception, referred to as a phosphene. In cases where neighboring phosphenes overlap, it is desirable to use current steering or neural activity shaping strategies to manipulate the generator signal between the electrodes to provide greater control over the total pattern of neural activity. Applying opposite generator signal polarities in neighboring regions of the retina forces the generator signal to pass through zero at an intermediate point, thus inducing low neural activity that may be perceived as a high-contrast line. This approach provides a form of high contrast visual perception, but it requires partitioning of the target pattern into those regions that use positive or negative generator signals. This discrete optimization is an NP-hard problem that is subject to being trapped in detrimental local minima. This investigation proposes a new partitioning method using image segmentation to determine the most beneficial positive and negative generator signal regions. Utilizing a database of 1000 natural images, the method is compared to alternative approaches based upon the mean squared error of the outcome. Under nominal conditions and with a set computation limit, partitioning provided improvement for 32% of these images. This percentage increased to 89% when utilizing image pre-processing to emphasize perceptual features of the images. The percentage of images that were dealt with most effectively with image segmentation increased as lower computation limits were imposed on the algorithms.This two-wave longitudinal study explored how Estonian children's language environment relates to their language skills. The Language ENvironment Analysis (LENA) system's automated measures were used as a source of information about children's home language environment. Children's expressive vocabulary was measured via the parent-reported Estonian CDI III (ECDI-III), and language comprehension and production were measured via the examiner-administered New Reynell Developmental Language Scales (NRDLS). The assessments were made 1 year apart at ages 3;0 (years; months) (N = 22) and 4;0 (N = 19). The results revealed wide variability in children's home language environment and language skills. Girls' language production scores were higher; they heard a larger quantity of adult words and spent less time in noisy environments than boys at Wave 2. At Wave 1, children's word count was positively associated with productive language scores, whereas silence was negatively associated with language production and expressive vocabulary. At Wave 2, children who had been more exposed to electronic media scored higher on expressive vocabulary. Distant speech at Wave 1 was positively correlated with language comprehension scores at Wave 2 also when controlling for language comprehension scores at Wave 1. The results, which indicate that distant talk is a positive aspect and silence is a negative aspect of the language environment, highlight the importance of "languagizing" homes also in cultures where silence tends to be more highly valued and talkativeness tends to be less highly valued when compared with English-speaking middle-class families.Fictional stories can affect many aspects of children's behavior and cognition, yet little is known about how they might help or hinder children's executive function skills. The current study investigated the role of story content (fantasy or reality) and mode of engagement with the story (pretense or a non-pretense control) on children's inhibitory control, an important component of early executive function. A total of 60 3-year-olds were randomly assigned to hear a fantastical or realistic story and were encouraged to engage in either pretense or a non-pretense activity related to the story. They then completed the Less Is More task of inhibitory control. Story content had no impact on children's inhibitory control; children performed equally well after hearing a fantastical or realistic story. However, children who engaged in story-related pretend play showed greater inhibitory control than those who engaged in a non-pretense activity. We found no interaction between story content and play engagement type. These results held when controlling for baseline inhibitory control, receptive vocabulary, age, gender, affect, and propensity toward pretense. Therefore, mode of play engagement with a story was more important in promoting children's inhibitory control skills than the degree of realism in the story.

In our study, we focussed on three SNPs in the non-coding regions near FGFR2 gene, as studies on non-coding variants in the genome are the novel trends to identify the susceptible loci for nonsyndromic cleft lip with or without cleft palate (NSCL/P). FGFR2 gene is selected as a candidate gene based on knock out animal models and the role played in syndromic forms of clefting. FGFR2 gene also plays an important role in FGF signaling pathway during craniofacial development.

In the present study 148 case-parent triads were assessed for three SNPs rs10749408, rs11199874 and rs10788165 near FGFR2 gene by using TaqMan allelic discrimination method. Transmission disequilibrium test (TDT) was used to find the allelic association. Linkage disequilibrium (LD) between the markers was analysed using Haploview program 4.2. Haplotype transmission effects were estimated using FAMHAP package. The possible parent-of-origin effects were assessed by likelihood based approach.

TDT analysis of three SNPs failed to show significant transmission disortion from heterozygous parents to the affected child and are not associated with NSCL/P. Linkage disequilibrium analysis showed strong LD between rs11199874 and rs10788165 SNPs. In the haplotype TDT analysis, GG haplotype of rs11199874-rs10788165 showed significant undertransmission to affected child. No significant parent-of-origin effects were observed.

The present study on noncoding variants near FGFR2 gene is not associated with NSCL/P. As the numbers of triads included in the study are less, further studies are needed including large sample size to find association with NSCL/P.

The present study on noncoding variants near FGFR2 gene is not associated with NSCL/P. As the numbers of triads included in the study are less, further studies are needed including large sample size to find association with NSCL/P.In this article T1 dispersion measurements on a set of crude oils that span a viscosity range of 0.7 cP up to 2·104 cP are reported. Larmor frequencies were varied from 10 kHz up to 20 MHz. The relaxation dispersion measurements are interpreted in terms of the threshold viscosity model, which allows model applicability tests presented in literature to be extended to Larmor frequencies below 1 MHz. It is shown that the measurements can be equally well described by assuming a proton-proton interaction process as by assuming proton-electronic spin interactions. A power-law frequency dependence of the threshold viscosity parameter is observed for both types of spin interactions. Modifications to the description of rotational diffusion in the threshold viscosity model are suggested that may account for the observed frequency dependence in the threshold viscosity parameter. Without modifications, the threshold viscosity model is shown to have a limited application range of η ≥ 40 cP and ω0/2π ≥ 700 kHz, in which model parameters have a physically justifiable order of magnitude for the set of crude oils studied.