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PubMed Journals Articles About "Treatment Solutions Network" RSS

15:28 EST 10th December 2018 | BioPortfolio

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

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Showing "Treatment Solutions Network" PubMed Articles 1–25 of 34,000+

Role of Synaptic Stochasticity in Training Low-Precision Neural Networks.

Stochasticity and limited precision of synaptic weights in neural network models are key aspects of both biological and hardware modeling of learning processes. Here we show that a neural network model with stochastic binary weights naturally gives prominence to exponentially rare dense regions of solutions with a number of desirable properties such as robustness and good generalization performance, while typical solutions are isolated and hard to find. Binary solutions of the standard perceptron problem ar...


Monitoring of toxicity of As(V) solutions by AMPHITOX test without and with treatment with zerovalent iron nanoparticles.

Changes in toxicity of As(V) solutions from acute to chronic exposure have been evaluated by the AMPHITOX test. This test employs Rhinella arenarum, a widely distributed toad in Argentine areas. LOEC values were 6.37 and 1.88 mg L for embryos and larvae, respectively, and serious sublethal effects have been observed. Toxicity of As(V) solutions has been also evaluated after treatment with zerovalent iron nanoparticles (nZVI). After 60 min of treatment with nZVI, As(V) removal was 77%, and neither lethal...

A multi-objective scheduling optimization algorithm of a camera network for directional road network coverage.

Effective video monitoring systems require optimization of camera and road network coverage, to exploit fully the hardware and software solutions in smart city traffic applications. Monitoring requirements have grown increasingly diverse as scenes are becoming increasingly complex, thereby transforming the camera and road network coverage optimization issue into a nonlinear, high-dimension, and multi-objective problem. Previous research on this topic however, has focused on a single, specific optimization o...


Dual Neural Network Method for Solving Multiple Definite Integrals.

This study, which examines a calculation method on the basis of a dual neural network for solving multiple definite integrals, addresses the problems of inefficiency, inaccuracy, and difficulty in finding solutions. First, the method offers a dual neural network method to construct a primitive function of the integral problem; it can approximate the primitive function of any given integrand with any precision. On this basis, a neural network calculation method that can solve multiple definite integrals whos...

Estimating the contribution of studies in network meta-analysis: paths, flows and streams.

In network meta-analysis, it is important to assess the influence of the limitations or other characteristics of individual studies on the estimates obtained from the network. The percentage contribution matrix, which shows how much each direct treatment effect contributes to each treatment effect estimate from network meta-analysis, is crucial in this context. We use ideas from graph theory to derive the percentage that is contributed by each direct treatment effect. We start with the 'projection' matrix i...

Computational characterization and control of electrical conductivity of nanowire composite network under mechanical deformation.

Quantitative models to predict the electrical performance of 1-D nanowire (NW) composite networks under external deformation such as bending and patterning are developed by Monte-Carlo based computations, and appropriate solutions are addressed to enhance the tolerance of the sheet resistance (R) of the NW networks under the deformation. In addition, several strategies are employed to improve further the robustness of the sheet resistance against the network deformation. In the case of bending, outstanding ...

Anti-Erosive Effect of Solutions Containing Sodium Fluoride, Stannous Chloride, and Selected Film-Forming Polymers.

The aim of this study was to evaluate the anti-erosive effect of solutions containing sodium fluoride (F: 225 ppm F-), stannous chloride (Sn: 800 ppm Sn2+), and some film-forming polymers (Gantrez: Poly [methylvinylether-alt-maleic anhydride]; PGA: propylene glycol alginate; Plasdone: poly[vinylpyrrolidone]; and CMC: carboxymethylcellulose). Solutions were tested in an erosion-remineralization cycling model, using enamel and dentin specimens (n = 10, for each substrate). Distilled water was the negative con...

Bond strength of resin cement to ceramic with simplified primers and pretreatment solutions.

Manufacturers have recently introduced surface primers and pretreatment solutions that reportedly simplify the bonding process of resin cements to ceramics through various combinations of etchant and coupling agents. This study evaluated the shear bond strength (SBS) of a resin cement to a lithium disilicate glass-ceramic material pretreated with various new surface treatment solutions and compared the results to those of a control group prepared with the traditional application of hydrofluoric acid (HF) an...

Pilot-scale formation of whey protein aggregates determine the stability of heat-treated whey protein solutions-Effect of pH and protein concentration.

Denaturation and consequent aggregation in whey protein solutions is critical to product functionality during processing. Solutions of whey protein isolate (WPI) prepared at 1, 4, 8, and 12% (wt/wt) and pH 6.2, 6.7, or 7.2 were subjected to heat treatment (85°C × 30 s) using a pilot-scale heat exchanger. The effects of heat treatment on whey protein denaturation and aggregation were determined by chromatography, particle size, turbidity, and rheological analyses. The influence of pH and WPI concentration ...

Influence of social network on drug use among clients of methadone maintenance treatment centers in Kunming, China.

To examine drug use behavior of clients attending Methadone Maintenance Treatment (MMT) programs and its relationship with the clients' social network characteristics.

Modelling the potential for multi-location in-sewer heat recovery at a city scale under different seasonal scenarios.

A computational network heat transfer model was utilised to model the potential of heat energy recovery at multiple locations from a city scale combined sewer network. The uniqueness of this network model lies in its whole system validation and implementation for seasonal scenarios in a large sewer network. The network model was developed, on the basis of a previous single pipe heat transfer model, to make it suitable for application in large sewer networks and its performance was validated in this study by...

Selective modulation of brain network dynamics by seizure therapy in treatment-resistant depression.

Electroconvulsive therapy (ECT) is highly effective for treatment-resistant depression, yet its mechanism of action is still unclear. Understanding the mechanism of action of ECT can advance the optimization of magnetic seizure therapy (MST) towards higher efficacy and less cognitive impairment. Given the neuroimaging evidence for disrupted resting-state network dynamics in depression, we investigated whether seizure therapy (ECT and MST) selectively modifies brain network dynamics for therapeutic efficacy.

Evolutionary transitions in controls reconcile adaptation with continuity of evolution.

Evolution proceeds by accumulating functional solutions, necessarily forming an uninterrupted lineage from past solutions of ancestors to the current design of extant forms. At the population level, this process requires an organismal architecture in which the maintenance of local adaptation does not preclude the ability to innovate in the same traits and their continuous evolution. Representing complex traits as networks enables us to visualize a fundamental principle that resolves tension between adaptati...

ADHD and Ritalin: neuronarratives in a virtual community of Facebook Social Network.

Attention Deficit Hyperactivity Disorder (ADHD) is notable for affecting between 5% and 10% of the child and adolescent populations in several continents. The main treatment for this is methylphenidate (Ritalin). In this context, the objective of this research was to understand how the contents transmitted in social networks (virtual communities) influence the way family members of these communities understand ADHD and its treatment, as well as how they deal with their children who are suspected of having, ...

Egocentric social networks and smoking among adults with serious mental illness.

Evidence-based smoking cessation treatment is safe and effective for smokers with serious mental illness (SMI); however, quit rates remain low in this population. We explored how social networks influence smoking outcomes among people with SMI who participated in smoking cessation treatment at community mental health centers. We conducted egocentric social network interviews with 41 individuals with SMI who participated in a statewide Medicaid demonstration project of smoking cessation treatment. We estimat...

The effect of Adalimumab on the vasculature in psoriatic skin lesions.

Vascular proliferation is considered an important feature in psoriasis. Early psoriatic changes are characterized by vascular network expansion; healing of the lesions ultimately results in a decreasing size of the vascular network. Currently, the response of the vasculature in psoriatic lesions during treatment of adalimumab is still obscure.

Network Analysis: A Systems Framework to Address Grand Challenges in Plant Pathology.

Plant pathology must address a number of challenges, most of which are characterized by complexity. Network analysis offers useful tools for addressing complex systems and an opportunity for synthesis within plant pathology and between it and relevant disciplines such as in the social sciences. We discuss various applications of network analysis, which ultimately may be integrated together into more synthetic analyses of how to optimize plant disease management systems. The analysis of microbiome networks a...

Using network analysis for the prediction of treatment dropout in patients with mood and anxiety disorders: A methodological proof-of-concept study.

There are large health, societal, and economic costs associated with attrition from psychological services. The recently emerged, innovative statistical tool of complex network analysis was used in the present proof-of-concept study to improve the prediction of attrition. Fifty-eight patients undergoing psychological treatment for mood or anxiety disorders were assessed using Ecological Momentary Assessments four times a day for two weeks before treatment (3,248 measurements). Multilevel vector autoregressi...

A network analysis of DSM-5 posttraumatic stress disorder and functional impairment in UK treatment-seeking veterans.

Network analysis is a relatively new methodology for studying psychological disorders. It focuses on the associations between individual symptoms which are hypothesized to mutually interact with each other. The current study represents the first network analysis conducted with treatment-seeking military veterans in UK. The study aimed to examine the network structure of posttraumatic stress disorder (PTSD) symptoms and four domains of functional impairment by identifying the most central (i.e., important) s...

The Space Between: A Previously Unrecognized and Pervasive Space in the Body May Hold Solutions for Cancer Metastasis, Immunotherapy, and Fibrosis Treatment.

Around 2008, endoscopists David Carr-Locke and Petros Benias began to notice an unfamiliar pattern in the bile duct during endomicroscopy, which didn't look like anything they knew from pathology. Their confusion as to what it was persisted, so they brought their observations to their colleague, pathologist Neil Theise. Eventually, a larger group of researchers worked to figure out what exactly they were seeing in the bile duct samples. Their ultimate conclusion was that the structure is part of a network o...

Identification of target gene and prognostic evaluation for lung adenocarcinoma using gene expression meta-analysis, network analysis and neural network algorithms.

Lung adenocarcinoma (LUAD) is a heterogeneous disease with poor survival in the advanced stage and a high incidence rate in the world. Novel drug targets are urgently required to improve patient treatment. Therefore, we aimed to identify therapeutic targets for LUAD based on protein-protein and protein-drug interaction network analysis with neural network algorithms using mRNA expression profiles.

Competitive Interactions Within Cm(III) Solvation in Binary Water/Methanol Solutions.

Competitive forces exist in multicomponent solutions, and within electrolytes they consist of both ion-solvent and solvent-solvent interactions. These can influence a myriad of processes, including ligand complexation. In the case of water/alcohol solutions, recent work revealed an interesting dilemma regarding the overall solution dynamics and organization as compared to solute-solvent interactions. This is particularly true for highly charged ions in solution, whose ion-solvent interactions were demonstra...

Coordination meeting during psychiatric hospitalization : expectations, challenges and solutions.

Psychiatric treatments often involve numerous partners. The organization of coordination meetings during in-patient admissions is necessary in order to harmonize interventions. The expectations of each partner during such meetings may however differ and some issues that may seem important to some of them may be neglected. In this paper, we report the results of a survey conducted among the various partners involved in psychiatric patient's treatment in order to identify their expectations, the challenges th...

Community networks of services for pregnant and parenting women with problematic substance use.

Integrated treatment programs for pregnant and parenting women who use substances operate at the intersection of multiple service systems, including specialized substance use services, the broader health system, child protection, and social services. Our objectives were to describe the composition and structure of community care networks surrounding integrated treatment programs in selected communities in Ontario, Canada. We used a two-stage snowball method to collect network data from 5 purposively selecte...

Systemic Solutions in Retinopathy of Prematurity.

To describe a framework for screening and treatment of retinopathy of prematurity using telemedicine screening with laser and/or vascular endothelial growth factor inhibitor treatment strategies.


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