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https://www.readbyqxmd.com/read/28212595/preparation-and-characterization-of-gold-nanoparticles-in-the-presence-of-citrate-and-soybean-seed-extract-in-an-acidic-conditions
#1
Ebrahim Izadi, Ali Rasooli, Abolfazl Akbarzadeh, Soodabeh Davaran
Through the present study, an eco-friendly method was used to synthesize the gold nanoparticles (GNPs) by using the sodium citrate and extract of the soybean seed as reducing the agents at PH 3. X-Ray diffraction (XRD) method was used to evaluate the crystal structure of as-synthesized NPs and it's revealed that this method leads to well crystallized GNPs. In order to determine the particle size and their distribution, field emission scanning microscopy (FE-SEM) and dynamic light scattering (DLS) were used...
February 17, 2017: Drug Research
https://www.readbyqxmd.com/read/28212514/removal-mechanism-of-selenite-by-fe3o4-precipitated-mesoporous-magnetic-carbon-microspheres
#2
Jianwei Lu, Fenglian Fu, Zecong Ding, Na Li, Bing Tang
A mesoporous composite of magnetic carbon microspheres (MCMSs) was synthesized via introducing Fe3O4 nanoscale particles to the surface of carbon microspheres (CMSs) by coprecipitation. Scanning electron microscopy and transmission electron microscopy showed the Fe3O4 nanoscale particles were dispersedly immobilized on the surface of CMSs. The MCMSs demonstrated effective removal of selenite (Se(IV)) from wastewater. MCMSs showed the regular pattern where the lower pH value, the lower residual Se(IV) concentration...
February 14, 2017: Journal of Hazardous Materials
https://www.readbyqxmd.com/read/28212489/direct-single-enzyme-biomineralization-of-catalytically-active-ceria-and-ceria-zirconia-nanocrystals
#3
Christopher D Curran, Li Lu, Yue Jia, Christopher J Kiely, Bryan W Berger, Steven McIntosh
Biomineralization is an intriguing approach to the synthesis of functional inorganic materials for energy applications whereby biological systems are engineered to mineralize inorganic materials and control their structure over multiple length scales under mild reaction conditions. Herein we demonstrate a single enzyme mediated biomineralization route to synthesize crystalline, catalytically active, quantum confined ceria (CeO2-x) and ceria-zirconia (Ce1-yZryO2-x) nanocrystals for application as environmental catalysts...
February 17, 2017: ACS Nano
https://www.readbyqxmd.com/read/28212488/graphene-oxide-glue-electrode-for-fabrication-of-vertical-elastic-conductive-columns
#4
Liusi Yang, Mingchu Zou, Shiting Wu, Wenjing Xu, Huaisheng Wu, Anyuan Cao
Graphene has a planar atomic structure with high flexibility, and might be used as ultra-thin conductive glues or adhesion layers in electronics and other applications. Here, we show that graphene oxide (GO) sheets condensed from solution can act as a pure, thin-layer, non-penetrating glue for fabrication of vertical architectures anchored on rigid and flexible substrates. Carbon nanotube (CNT) sponges are used as a porous template to make polymer-reinforced composite columns, to achieve both high conductivity and elastic behavior...
February 17, 2017: ACS Nano
https://www.readbyqxmd.com/read/28212477/-hyponatremia-and-its-etiology-in-pediatric-patients-admitted-to-the-emergency-room
#5
Alma Beatriz Medrano-Rodríguez, Rosa Ortega-Cortés, Elvira Torres-Infante, Alejandro Macario-Reynoso, Juan Carlos Barrera-de León
BACKGROUND: The importance of hyponatremia is underestimated despite it is a frequent alteration in a hospital environment. Usually no cause is investigated and it is treated as an isolated data. The aim was to determine the prevalence and etiology of hyponatremia in pediatric patients. METHODS: Cross-sectional study of 72 patients from 1-month to 15-years of age admitted to the emergency room, from May to September, 2015, with lower serum determination of Na < 135 mEq/L at admission...
2017: Revista Médica del Instituto Mexicano del Seguro Social
https://www.readbyqxmd.com/read/28212291/tracking-the-turn-maneuvering-target-using-the-multi-target-bayes-filter-with-an-adaptive-estimation-of-turn-rate
#6
Zong-Xiang Liu, De-Hui Wu, Wei-Xin Xie, Liang-Qun Li
Tracking the target that maneuvers at a variable turn rate is a challenging problem. The traditional solution for this problem is the use of the switching multiple models technique, which includes several dynamic models with different turn rates for matching the motion mode of the target at each point in time. However, the actual motion mode of a target at any time may be different from all of the dynamic models, because these models are usually limited. To address this problem, we establish a formula for estimating the turn rate of a maneuvering target...
February 15, 2017: Sensors
https://www.readbyqxmd.com/read/28212287/big-data-analytics-for-genomic-medicine
#7
REVIEW
Karen Y He, Dongliang Ge, Max M He
Genomic medicine attempts to build individualized strategies for diagnostic or therapeutic decision-making by utilizing patients' genomic information. Big Data analytics uncovers hidden patterns, unknown correlations, and other insights through examining large-scale various data sets. While integration and manipulation of diverse genomic data and comprehensive electronic health records (EHRs) on a Big Data infrastructure exhibit challenges, they also provide a feasible opportunity to develop an efficient and effective approach to identify clinically actionable genetic variants for individualized diagnosis and therapy...
February 15, 2017: International Journal of Molecular Sciences
https://www.readbyqxmd.com/read/28212282/collagen-gold-nanoparticle-conjugates-for-versatile-biosensing
#8
Sarah Unser, Samuel Holcomb, ReJeana Cary, Laura Sagle
Integration of noble metal nanoparticles with proteins offers promising potential to create a wide variety of biosensors that possess both improved selectivity and versatility. The multitude of functionalities that proteins offer coupled with the unique optical properties of noble metal nanoparticles can allow for the realization of simple, colorimetric sensors for a significantly larger range of targets. Herein, we integrate the structural protein collagen with 10 nm gold nanoparticles to develop a protein-nanoparticle conjugate which possess the functionality of the protein with the desired colorimetric properties of the nanoparticles...
February 15, 2017: Sensors
https://www.readbyqxmd.com/read/28212219/drug-infusion-systems-technologies-performance-and-pitfalls
#9
Uoo R Kim, Robert A Peterfreund, Mark A Lovich
This review aims to broadly describe drug infusion technologies and raise subtle but important issues arising from infusion therapy that can potentially lead to patient instability and morbidity. Advantages and disadvantages of gravity-dependent drug infusion are described and compared with electromechanical approaches for precise control of medication infusion, including large-volume peristaltic and syringe pumps. This review discusses how drugs and inert carriers interact within infusion systems and outlines several complexities and potential sources of drug error...
February 16, 2017: Anesthesia and Analgesia
https://www.readbyqxmd.com/read/28212159/liver-allocation-and-distribution-time-for-a-change
#10
Ranjit Deshpande, Ryutaro Hirose, David Mulligan
PURPOSE OF REVIEW: Liver allograft allocation has been a topic of hot debate for over a decade. New redistricting changes have been proposed by the Liver and Intestinal Transplant Committee to the existing United Network for Organ Sharing (UNOS) liver allocation policy. The basis of this new proposal is similar to the old one with an aim to distribute organs in a fair, efficient and equitable fashion. In this review, we plan to look in depth at the redistribution proposals thus far, their merits and how they may help patients who do not have adequate access to livers...
February 15, 2017: Current Opinion in Organ Transplantation
https://www.readbyqxmd.com/read/28212131/psychometric-properties-of-a-new-instrument-for-assessing-irrational-thoughts-in-burn-victims-scale-of-irrational-thoughts-after-burn-injuries
#11
Zahra Zare, Homayoun Sadeghi-Bazargani, Fatemeh Ranjbar, Diana Stark Ekman, Mostafa Farahbakhsh, Hemmat Maghsoudi, Robert Ekman, Farideh Nasiri
The objective of this study was to develop and evaluate a scale for assessing irrational thoughts among burned patients. The present study was mixed (qualitative-methodologic) which was performed in several stages such as investigating similar or related scales, interviewing with patients and psychologists. Content validity was calculated by modified KAPPA basis on relevance and clarity. The reliability of the scale was measured using internal consistency and the test-retest method. To determine the construct validity, exploratory factor analysis approach using maximum likelihood extraction with varimax rotation was conducted...
February 9, 2017: Journal of Burn Care & Research: Official Publication of the American Burn Association
https://www.readbyqxmd.com/read/28212114/discriminative-feature-representation-an-effective-postprocessing-solution-to-low-dose-ct-imaging
#12
Yang Chen, Jin Liu, Yining Hu, Jian Yang, Luyao Shi, Huazhong Shu, Zhiguo Gui, Gouenou Coatrieux, Limin Luo
This paper proposes a concise and effective approach termed discriminative feature representation (DFR) for low dose computerized tomography (LDCT) image processing, which is currently a challenging problem in medical imaging field. This DFR method assumes LDCT images as the superposition of desirable high dose CT (HDCT) 3D features and undesirable noise-artifact 3D features (the combined term of noise and artifact features induced by low dose scan protocols), and the decomposed HDCT features are used to provide the processed LDCT images with higher quality...
February 17, 2017: Physics in Medicine and Biology
https://www.readbyqxmd.com/read/28212109/sustainable-exposure-prevention-through-innovative-detection-and-remediation-technologies-from-the-niehs-superfund-research-program
#13
Heather F Henry, William A Suk
Innovative devices and tools for exposure assessment and remediation play an integral role in preventing exposure to hazardous substances. New solutions for detecting and remediating organic, inorganic, and mixtures of contaminants can improve public health as a means of primary prevention. Using a public health prevention model, detection and remediation technologies contribute to primary prevention as tools to identify areas of high risk (e.g. contamination hotspots), to recognize hazards (bioassay tests), and to prevent exposure through contaminant cleanups...
February 17, 2017: Reviews on Environmental Health
https://www.readbyqxmd.com/read/28212101/fast-solving-quasi-optimal-ls-s-%C3%A2-vm-based-on-an-extended-candidate-set
#14
Yuefeng Ma, Xun Liang, James T Kwok, Jianping Li, Xiaoping Zhou, Haiyan Zhang
The semisupervised least squares support vector machine (LS-S³VM) is an important enhancement of least squares support vector machines in semisupervised learning. Given that most data collected from the real world are without labels, semisupervised approaches are more applicable than standard supervised approaches. Although a few training methods for LS-S³VM exist, the problem of deriving the optimal decision hyperplane efficiently and effectually has not been solved. In this paper, a fully weighted model of LS-S³VM is proposed, and a simple integer programming (IP) model is introduced through an equivalent transformation to solve the model...
February 14, 2017: IEEE Transactions on Neural Networks and Learning Systems
https://www.readbyqxmd.com/read/28212100/homotopy-methods-based-on-l%C3%A2-norm-for-compressed-sensing
#15
Zhengshan Dong, Wenxing Zhu
This paper proposes two homotopy methods for solving the compressed sensing (CS) problem, which combine the homotopy technique with the iterative hard thresholding (IHT) method. The homotopy methods overcome the difficulty of the IHT method on the choice of the regularization parameter value, by tracing solutions of the regularized problem along a homotopy path. We prove that any accumulation point of the sequences generated by the proposed homotopy methods is a feasible solution of the problem. We also show an upper bound on the sparsity level for each solution of the proposed methods...
February 15, 2017: IEEE Transactions on Neural Networks and Learning Systems
https://www.readbyqxmd.com/read/28212085/contextual-noise-reduction-for-domain-adaptive-near-duplicate-retrieval-on-merchandize-images
#16
Zhen-Qun Yang, Xiao-Yong Wei, Zhang Yi, Gerald Friedland
In this paper, we have proposed a novel method which utilizes the contextual relationship among visual words for reducing the Quantization errors in near-duplicate image retrieval (NDR). Instead of following the track of conventional NDR techniques which usually search new solutions by borrowing ideas from the text domain, we propose to model the problem back to image domain, which results in a more natural way of solution search. The idea of the proposed method is to construct a context graph that encapsulates the contextual relationship within an image and treat the graph as a pseudo-image, so that classical image filters can be adopted to reduce the mismapped visual words which are contextually inconsistent with others...
February 15, 2017: IEEE Transactions on Image Processing: a Publication of the IEEE Signal Processing Society
https://www.readbyqxmd.com/read/28212083/aliasing-detection-and-reduction-scheme-on-angularly-undersampled-light-fields
#17
Zhaolin Xiao, Qing Wang, Guoqing Zhou, Jingyi Yu
When using plenoptic camera for digital refocusing, angular undersampling can cause severe (angular) aliasing artifacts. Previous approaches have focused on avoiding aliasing by pre-processing the acquired light field via prefiltering, demosaicing, reparameterization, etc. In this paper, we present a different solution that first detects and then removes angular aliasing at the light field refocusing stage. Different from previous frequency domain aliasing analysis, we carry out a spatial domain analysis to reveal whether the angular aliasing would occur and uncover where in the image it would occur...
February 13, 2017: IEEE Transactions on Image Processing: a Publication of the IEEE Signal Processing Society
https://www.readbyqxmd.com/read/28212072/neural-network-based-solutions-for-stochastic-optimal-control-using-path-integrals
#18
Karthikeyan Rajagopal, Sivasubramanya Nadar Balakrishnan, Jerome R Busemeyer
In this paper, an offline approximate dynamic programming approach using neural networks is proposed for solving a class of finite horizon stochastic optimal control problems. There are two approaches available in the literature, one based on stochastic maximum principle (SMP) formalism and the other based on solving the stochastic Hamilton-Jacobi-Bellman (HJB) equation. However, in the presence of noise, the SMP formalism becomes complex and results in having to solve a couple of backward stochastic differential equations...
March 2017: IEEE Transactions on Neural Networks and Learning Systems
https://www.readbyqxmd.com/read/28212030/revisiting-silicalite-1-nucleation-in-clear-solution-by-electrochemical-impedance-spectroscopy
#19
Gert Brabants, Maxim Hubin, Erwin Konrad Reichel, Bernhard Jakoby, Eric Breynaert, Francis Taulelle, Johan A Martens, Christine E A Kirschhock
EIS was used to detect and investigate nucleation in silicalite-1 clear solutions. Whereas zeolite nucleation was previously assumed to be a step event, inducing a sharp discontinuity around a Si/OH ratio of 1, complex bulk conductivity measurements at elevated temperatures reveal a gradual decay of the conductivity with increased silicon concentrations. Inverse Laplace transformation of the complex conductivity allows to observe the chemical exchange phenomena governing nano-aggregate formation. At low temperatures, the fast exchange between dissociated ions and ion pairs leads to a gradual decay of the conductivity with increasing silicon content...
February 17, 2017: Langmuir: the ACS Journal of Surfaces and Colloids
https://www.readbyqxmd.com/read/28212024/environmental-multi-objective-optimization-of-the-use-of-biomass-resources-for-energy
#20
Carl Vadenbo, Davide Tonini, Thomas Fruergaard Astrup
Bioenergy is often considered an important component, alongside other renewables, to mitigate global warming and to reduce fossil fuel dependency. Determining sustainable strategies for utilizing biomass resources, however, requires a holistic perspective to reflect a wider range of potential environmental consequences. To circumvent the limitations of scenario-based life cycle assessment (LCA), we develop a multi-objective optimization model to systematically identify the environmentally-optimal use of biomass for energy under given system constraints...
February 17, 2017: Environmental Science & Technology
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