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PubMed Journals Articles About "Agriculture Network Information Center" RSS

05:26 EDT 23rd October 2018 | BioPortfolio

Agriculture Network Information Center PubMed articles on BioPortfolio. Our PubMed references draw on over 21 million records from the medical literature. Here you can see the latest Agriculture Network Information Center articles that have been published worldwide.

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We have published hundreds of Agriculture Network Information Center news stories on BioPortfolio along with dozens of Agriculture Network Information Center Clinical Trials and PubMed Articles about Agriculture Network Information Center for you to read. In addition to the medical data, news and clinical trials, BioPortfolio also has a large collection of Agriculture Network Information Center Companies in our database. You can also find out about relevant Agriculture Network Information Center Drugs and Medications on this site too.

Showing "Agriculture Network Information Center" PubMed Articles 1–25 of 16,000+

Information Transmission in HPC-PFC Network for Spatial Working Memory in Rat.

Spatial working memory is a short-term system for the temporary holding and manipulation of spatial information. Evidence shows that the hippocampus (HPC) and prefrontal cortex (PFC) play important roles in spatial working memory. Though the communication between HPC and PFC is recognized as essential for successful execution of spatial working memory tasks, the directional information transmission in the HPC-PFC network is largely unclear. Therefore, in the present study, neuronal activity was recorded fro...


A Multipronged Initiative to Improve Productivity and Patient Access in a Federally Qualified Health Center Network.

In 2012, Access Community Health Network, a Federally Qualified Health Center (FQHC) network with 36 health centers serving the greater Chicago area, embarked on a 3-year initiative to improve patient access. "Dramatic Performance Improvement" (DPI) included the adoption of modified open access scheduling and practice changes designed to improve capacity and the ability to balance supply and demand. This article describes DPI implementation, strategies, and associated outcomes, including a 20% decrease in n...

Detecting trends in academic research from a citation network using network representation learning.

Several network features and information retrieval methods have been proposed to elucidate the structure of citation networks and to detect important nodes. However, it is difficult to retrieve information related to trends in an academic field and to detect cutting-edge areas from the citation network. In this paper, we propose a novel framework that detects the trend as the growth direction of a citation network using network representation learning(NRL). We presume that the linear growth of citation netw...


Navigating protected areas networks for improving diffusion of conservation practices.

The Natura 2000 protected area network is the cornerstone of European Union's biodiversity conservation strategy. These protected areas range across multiple biogeographic regions, and they include a diversity of species assemblages along with a diversity of managing organizations, altogether making difficult to pool relevant sites to facilitate the flow of knowledge significant to their management. Here we introduce an approach to navigating protected area networks that has the potential to foster systemat...

Renal Replacement Procedure: Information, Education, Documentation.

In renal replacement therapy, different methods are available: hemodialysis (HD), peritoneal dialysis (PD), and kidney transplantation (KTx). In addition, variants can be used: HD as a home HD or center HD, PD as a conventional PD or automated (cycler) PD, KTx as a potentially short-term predictable living donation or conventional donor kidney donation. The patient and his familiar or caring environment must be informed accordingly. This means first of all: information about which procedures of kidney repl...

Sonification of network traffic flow for monitoring and situational awareness.

Maintaining situational awareness of what is happening within a computer network is challenging, not only because the behaviour happens within machines, but also because data traffic speeds and volumes are beyond human ability to process. Visualisation techniques are widely used to present information about network traffic dynamics. Although they provide operators with an overall view and specific information about particular traffic or attacks on the network, they often still fail to represent the events i...

The Nationwide Health Information Network: The Case of the Expansion of Health Information Exchanges in the United States.

The Nationwide Health Information Network (NHIN) implemented secure exchange of health records through utilization of the Internet. The NHIN has greatly assisted in achieving the goals of the Health Information Technology for Economic and Clinical Health Act by promoting the adoption of Meaningful Use. Epic introduced a Health Information Exchange platform, Care Everywhere, which has facilitated Health Information Exchange availability. The purpose of this research was to determine the impact of NHIN and Ep...

A self-organizing short-term dynamical memory network.

Working memory requires information about external stimuli to be represented in the brain even after those stimuli go away. This information is encoded in the activities of neurons, and neural activities change over timescales of tens of milliseconds. Information in working memory, however, is retained for tens of seconds, suggesting the question of how time-varying neural activities maintain stable representations. Prior work shows that, if the neural dynamics are in the 'null space' of the representation ...

Evaluating green tea quality based on multisensor data fusion combining hyperspectral imaging and olfactory visualization systems.

The instrumental evaluation of tea quality using digital sensors instead of human panel tests has attracted much attention globally. However, individual sensors do not meet the requirements of discriminant accuracy owing to incomprehensive sensor information. Considering the major factors in sensory evaluation of tea, the study integrated multisensor information, including spectral, image, and olfaction feature information.

Random Forest Based Classification of Alcohol Dependence Patients and Healthy Controls Using Resting State MRI.

Currently, classification of alcohol use disorder (AUD) is made on clinical grounds; however, robust evidence shows that chronic alcohol use leads to neurochemical and neurocircuitry adaptations. Identifications of the neuronal networks that are affected by alcohol would provide a more systematic way of diagnosis and provide novel insights into the pathophysiology of AUD. In this study, we identified network-level brain features of AUD, and further quantified resting-state within-network, and between-networ...

Spatiotemporal responses of dengue fever transmission to the road network in an urban area.

Urbanization is one of the important factors leading to the spread of dengue fever. Recently, some studies found that the road network as an urbanization factor affects the distribution and spread of dengue epidemic, but the study of relationship between the distribution of dengue epidemic and road network is limited, especially in highly urbanized areas. This study explores the temporal and spatial spread characteristics of dengue fever in the distribution of road network by observing a dengue epidemic in ...

Indirect Relation Based Individual Metabolic Network for Identification of Mild Cognitive Impairment.

Optimized abnormalities of individual brain network may allow earlier detection of mild cognitive impairment (MCI) and accurate prediction of its conversion to Alzheimer's disease (AD). Currently, most studies constructed individual networks based on region-to-region correlation without employing multi-region information. In order to develop the potential discriminative power of network and provide supportive evidence for feasibility of individual metabolic network study, we propose a new approach of extrac...

Information Spread and Topic Diffusion in Heterogeneous Information Networks.

Diffusion of information in complex networks largely depends on the network structure. Recent studies have mainly addressed information diffusion in homogeneous networks where there is only a single type of nodes and edges. However, some real-world networks consist of heterogeneous types of nodes and edges. In this manuscript, we model information diffusion in heterogeneous information networks, and use interactions of different meta-paths to predict the diffusion process. A meta-path is a path between node...

ClueNet: Clustering a temporal network based on topological similarity rather than denseness.

Network clustering is a very popular topic in the network science field. Its goal is to divide (partition) the network into groups (clusters or communities) of "topologically related" nodes, where the resulting topology-based clusters are expected to "correlate" well with node label information, i.e., metadata, such as cellular functions of genes/proteins in biological networks, or age or gender of people in social networks. Even for static data, the problem of network clustering is complex. For dynamic dat...

Routes to, from and within the subiculum.

The subiculum is one of the major output areas of the hippocampus and has extensive projections to extrahippocampal targets. It is likely to play a pivotal role in the distribution of outgoing information from the hippocampus. The hippocampus, including the subiculum, is important for the formation, consolidation and retrieval of memory. These functions require a network that is flexible enough to encode incoming information and also allows for reliable distribution, storage and integration into previously ...

Social style and resilience of macaques' networks, a theoretical investigation.

Group-living animals rely on efficient transmission of information for optimal exploitation of their habitat. How efficient and resilient a network is depend on its structure, which is a consequence of the social interactions of the individuals that comprise the network. In macaques, network structure differs according to dominance style. Networks of intolerant species are more modular, more centralized, and less connected than those of tolerant ones. Given these structural differences, networks of intolera...

Personalized brain network models for assessing structure-function relationships.

Many recent efforts in computational modeling of macro-scale brain dynamics have begun to take a data-driven approach by incorporating structural and/or functional information derived from subject data. Here, we discuss recent work using personalized brain network models to study structure-function relationships in human brains. We describe the steps necessary to build such models and show how this computational approach can provide previously unobtainable information through the ability to perform virtual ...

Meta-path methods for prioritizing candidate disease miRNAs.

MicroRNAs (miRNAs) play critical roles in regulating gene expression at post-transcriptional levels. Predicting potential miRNAdisease association is beneficial not only to explore the pathogenesis of diseases, but also to understand biological processes. In this work, we propose two methods that can effectively predict potential miRNAdisease associations using our reconstructed miRNA and disease similarity networks, which are based on the latest experimental data. We reconstruct a miRNA functional similari...

Recommendations and Extraction of Clinical Variables of Pediatric Multiple Sclerosis Using Common Data Elements.

The purpose of this article was to demonstrate the feasibility of using common data elements (CDEs) to search for information on the pediatric patient with multiple sclerosis (MS) and provide recommendations for future quality improvement and research in the use of CDEs for pediatric MS symptom management strategies Methods: The St. Louis Children's Hospital (SLCH), Washington University (WU) pediatrics data network was evaluated for use of CDEs identified from a database to identify variables in pediatric ...

Functional annotation of putative fadE9 of Mycobacterium tuberculosis as isobutyryl-CoA dehydrogenase involved in valine catabolism.

Members of the Acyl-CoA dehydrogenase (ACADs) family of enzymes play a crucial role in cholesterol and steroid catabolism and are widely studied in the oldest known human pathogen, Mycobacterium tuberculosis (Mtb). However, there is a paucity of information on ACADs involved in branched chain amino acid catabolism. Here we characterized one of the putative ACAD enzyme, fadE9, as "Isobutyryl CoA Dehydrogenase (IBDH)" using a combined computational and experimental approach, guided by homology modeled structu...

The role of production process and information on quality expectations and perceptions of sparkling wines.

The present research aims to analyse, by combining sensory and experimental economics techniques, to what extent production process, and the information about it, may affect consumer preferences. Sparkling wines produced by Champenoise and Charmat methods were the object of the study. A quantitative descriptive sensory analysis with a trained panel and non-hypothetical auctions combined with hedonic ratings involving young wine consumers (N=100), under different information scenarios(Blind, Info and Info Ta...

A Computational Study of the Role of Spatial Receptive Field Structure in Processing Natural and Non-Natural Scenes.

The center-surround receptive field structure, ubiquitous in the visual system, is hypothesized to be evolutionarily advantageous in image processing tasks. We address the potential functional benefits and shortcomings of spatial localization and center-surround antagonism in the context of an integrate-and-fire neuronal network model with image-based forcing. Utilizing the sparsity of natural scenes, we derive a compressive-sensing framework for input image reconstruction utilizing evoked neuronal firing r...

Taking common ground into account: Specifying the role of the mentalizing network in communicative language production.

Several studies have shown that communicative language production as compared to non-communicative language production recruits parts of the mentalizing or theory of mind network, yet the exact role of this network in communication remains underspecified. In this study, we therefore aimed to test under what conditions the mentalizing network contributes to communicative language production. We were especially interested in distinguishing between situations in which speakers have to consider which informatio...

Contraceptive Information on Pregnancy Resource Center Websites: A Statewide Content Analysis.

Most pregnancy resource centers (PRCs) in the U.S. are affiliated with national organizations that have policies against promoting or providing contraceptives, yet many provide information about contraception on their websites. In 2016, the state of Georgia passed a new law to publicly fund PRCs. This study sought to describe the contraceptive information on Georgia PRC websites.

Learning Naturalistic Temporal Structure in the Posterior Medial Network.

The posterior medial network is at the apex of a temporal integration hierarchy in the brain, integrating information over many seconds of viewing intact, but not scrambled, movies. This has been interpreted as an effect of temporal structure. Such structure in movies depends on preexisting event schemas, but temporal structure can also arise de novo from learning. Here we examined the relative role of schema-consistent temporal structure and arbitrary but consistent temporal structure on the human posterio...


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