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PubMed Journals Articles About "Agriculture Network Information Center" RSS

21:51 EST 11th December 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...


Advancing the Sustainability of US Agriculture through Long-Term Research.

Agriculture in the United States must respond to escalating demands for productivity and efficiency, as well as pressures to improve its stewardship of natural resources. Growing global population and changing diets, combined with a greater societal awareness of agriculture's role in delivering ecosystem services beyond food, feed, fiber, and energy production, require a comprehensive perspective on where and how US agriculture can be sustainably intensified, that is, made more productive without exacerbati...

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...


Virtual Paths and Autism: access to health services from the perspective of Social Network Analysis.

The prevalence of Autism Spectrum Disorder in the world population and in Brazil is increasing. The Internet has become an important source of information regarding access to health services, including mental health. It remains to be seen if the virtual paths in search of information are related to the outcomes of the line of care for mental disorders advocated by the SUS, such as Autism. Therefore, this article sets out to analyze the virtual network of access to information about care for Autism in the mu...

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...

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...

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...

Using Network and Spatial Data to Better Target Overdose Prevention Strategies in Rural Appalachia.

This analysis uses network and spatial data to identify optimal individuals to target with overdose prevention interventions in rural Appalachia. Five hundred and three rural persons who use drugs were recruited to participate in the Social Networks among Appalachian People Study (2008-2010). Interviewer-administered surveys collected information on demographic characteristics, risk behaviors (including overdose history), network members, and residential addresses. We restricted the sample to individuals wi...

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...

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.

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 performance of neural codes in model neural communication networks.

Information needs to be appropriately encoded to be reliably transmitted over physical media. Similarly, neurons have their own codes to convey information in the brain. Even though it is well-known that neurons exchange information using a pool of several protocols of spatio-temporal encodings, the suitability of each code and their performance as a function of network parameters and external stimuli is still one of the great mysteries in neuroscience. This paper sheds light on this by modeling small-size ...

There was a CAPSad in the middle of the road: care logic and centrality of the care network for drug users.

By applying Social Network Analysis (ARS), this study seeks to evaluate the role of the Center for Psychosocial Care - Alcohol and Other Drugs (CAPSad) in the care network for drug users. It involves an exploratory, cross-sectional and quantitative approach of the Juiz de Fora city network in the state of Minas Gerais. One hundred and eighty-seven care services were identified in the city. The data gathering was made from a questionnaire with professionals of these instruments. The analysis took the cohesio...

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...

A unified framework for link prediction based on non-negative matrix factorization with coupling multivariate information.

Many link prediction methods have been developed to infer unobserved links or predict missing links based on the observed network structure that is always incomplete and subject to interfering noise. Thus, the performance of existing methods is usually limited in that their computation depends only on input graph structures, and they do not consider external information. The effects of social influence and homophily suggest that both network structure and node attribute information should help to resolve th...

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 ...

A Drug-Side Effect Context-Sensitive Network approach for Drug Target Prediction.

Computational drug target prediction has become an important process in drug discovery. Network-based approaches are commonly used in computational drug-target interactions (DTIs) predictions. Existing network-based approaches are limited in capturing the contextual information on how diseases, drugs, and genes are connected. Here, we proposed a context-sensitive network (CSN) model for DTI prediction by modeling contextual drug phenotypic relationships.

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...

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 ...

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...

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...

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...


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