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https://www.readbyqxmd.com/read/28820982/direct-analysis-no-sample-preparation-of-bioavailable-cortisol-in-human-plasma-by-weak-affinity-chromatography-wac
#1
Sten Ohlson, Jagjit Kaur, Manfred Raida, Ulf Niss, Tim Bengala, Chester Lee Drum, Bernhard Boehm, Anthony R Torres
Pre-analytical treatment of blood plasma is a time consuming and often rate limiting step in the workflow of LC/MS analysis. We present in this pilot study a new approach for quantitative LC/MS based on weak affinity chromatography (WAC) of crude plasma. The steroid hormone cortisol was selected as a clinically relevant biomarker, as it currently requires extensive pre-analytical preparation. A WAC unit with saturating, immobilized albumin as a prototypic weak binder was used in combination with an ion-funnel MS/MS detector to perform zonal affinity chromatography of cortisol directly from a plasma sample, followed by quantitative multiple reaction monitoring (MRM)...
July 21, 2017: Journal of Chromatography. B, Analytical Technologies in the Biomedical and Life Sciences
https://www.readbyqxmd.com/read/28820891/scene-text-detection-via-extremal-region-based-double-threshold-convolutional-network-classification
#2
Wei Zhu, Jing Lou, Longtao Chen, Qingyuan Xia, Mingwu Ren
In this paper, we present a robust text detection approach in natural images which is based on region proposal mechanism. A powerful low-level detector named saliency enhanced-MSER extended from the widely-used MSER is proposed by incorporating saliency detection methods, which ensures a high recall rate. Given a natural image, character candidates are extracted from three channels in a perception-based illumination invariant color space by saliency-enhanced MSER algorithm. A discriminative convolutional neural network (CNN) is jointly trained with multi-level information including pixel-level and character-level information as character candidate classifier...
2017: PloS One
https://www.readbyqxmd.com/read/28820478/detection-of-interactions-between-proteins-by-using-legendre-moments-descriptor-to-extract-discriminatory-information-embedded-in-pssm
#3
Yan-Bin Wang, Zhu-Hong You, Li-Ping Li, Yu-An Huang, Hai-Cheng Yi
Protein-protein interactions (PPIs) play a very large part in most cellular processes. Although a great deal of research has been devoted to detecting PPIs through high-throughput technologies, these methods are clearly expensive and cumbersome. Compared with the traditional experimental methods, computational methods have attracted much attention because of their good performance in detecting PPIs. In our work, a novel computational method named as PCVM-LM is proposed which combines the probabilistic classification vector machine (PCVM) model and Legendre moments (LMs) to predict PPIs from amino acid sequences...
August 18, 2017: Molecules: a Journal of Synthetic Chemistry and Natural Product Chemistry
https://www.readbyqxmd.com/read/28820222/quasi-zero-dimensional-cobalt-doped-ceo2-dots-on-pd-catalysts-for-alcohol-electro-oxidation-with-enhanced-poisoning-tolerance
#4
Qiang Tan, Haiyan Zhu, Shengwu Guo, Yuanzhen Chen, Tao Jiang, Chengyong Shu, Shaokun Chong, Benjamin Hultman, Yongning Liu, Gang Wu
Deactivation of an anode catalyst resulting from the poisoning of COad-like intermediates is one of the major problems for methanol and ethanol electro-oxidation reactions (MOR & EOR), and remains a grand challenge towards achieving high performance for direct alcohol fuel cells (DAFCs). Herein, we report a new approach for the preparation of ultrafine cobalt-doped CeO2 dots (Co-CeO2, d = 3.6 nm), which can be an effective anti-poisoning promoter for Pd catalysts towards MOR and EOR in alkaline media. Compared to Pd/CeO2 and pure Pd, the hybrid Pd/Co-CeO2 nanocomposite catalyst exhibited a much enhanced activity and remarkable anti-poisoning ability for both MOR and EOR...
August 18, 2017: Nanoscale
https://www.readbyqxmd.com/read/28819245/fourier-ptychographic-microscopy-with-sparse-representation
#5
Yongbing Zhang, Pengming Song, Jian Zhang, Qionghai Dai
Fourier ptychographic microscopy (FPM) is a novel computational microscopy technique that provides intensity images with both wide field-of-view and high-resolution. By combining ideas from synthetic aperture and phase retrieval, FPM iteratively stitches together a number of variably illuminated, low-resolution intensity images in Fourier space to reconstruct a high-resolution complex sample image. Although FPM is able to bypass the space-bandwidth product (SBP) limit of the optical system, it is vulnerable to the various capturing noises and the reconstruction is easy to trap into the local optimum...
August 17, 2017: Scientific Reports
https://www.readbyqxmd.com/read/28818392/how-predictable-are-human-stratum-corneum-lipid-water-partition-coefficients-assessment-and-useful-correlations-for-dermal-absorption
#6
Johannes M Nitsche, Gerald B Kasting
Partition coefficients between human stratum corneum lipids and water (K(sclip/w)) are collected or deduced from a variety of sources in a manner that approximately doubles the available data compared to the current state-of-the-art model [Hansen et al., Adv Drug Deliv Rev 65:252-264 (2013)]. An additional datum for water itself in porcine SC that considerably extends the molecular size and lipophilicity range of the dataset is considered. The data are analyzed in terms of an extended linear free energy relationship involving octanol/water partition coefficients, Abraham solvation parameters and a secondary, power law molecular weight dependence...
August 14, 2017: Journal of Pharmaceutical Sciences
https://www.readbyqxmd.com/read/28817706/hiv-infection-antiretroviral-therapy-and-measures-of-endothelial-function-inflammation-metabolism-and-oxidative-stress
#7
Andrew Dysangco, Ziyue Liu, James H Stein, Michael P Dubé, Samir K Gupta
BACKGROUND: HIV-infected patients have an increased risk of cardiovascular disease (CVD). Impaired endothelial function is an early risk factor for CVD in the general population. It is presumed that HIV infection is associated with impaired endothelial function, but results have been inconsistent. OBJECTIVES: Our objectives were to determine the relationships between HIV infection, virologic suppression with antiretroviral therapy (ART), in vivo measures of conduit artery and microvascular endothelial function, and circulating biomarkers of pathways associated with CVD...
2017: PloS One
https://www.readbyqxmd.com/read/28816682/rank-k-2-d-multinomial-logistic-regression-for-matrix-data-classification
#8
Kun Song, Feiping Nie, Junwei Han, Xuelong Li
The amount of matrix data has increased rapidly nowadays. How to classify matrix data efficiently is an important issue. In this paper, by discovering the shortages of 2-D linear discriminant analysis and 2-D logistic regression, a novel 2-D framework named rank-k 2-D multinomial logistic regression (2DMLR-RK) is proposed. The 2DMLR-RK is designed for a multiclass matrix classification problem. In the proposed framework, each category is modeled by a left projection matrix and a right projection matrix with rank k...
August 15, 2017: IEEE Transactions on Neural Networks and Learning Systems
https://www.readbyqxmd.com/read/28816676/a-novel-consistent-random-forest-framework-bernoulli-random-forests
#9
Yisen Wang, Shu-Tao Xia, Qingtao Tang, Jia Wu, Xingquan Zhu
Random forests (RFs) are recognized as one type of ensemble learning method and are effective for the most classification and regression tasks. Despite their impressive empirical performance, the theory of RFs has yet been fully proved. Several theoretically guaranteed RF variants have been presented, but their poor practical performance has been criticized. In this paper, a novel RF framework is proposed, named Bernoulli RFs (BRFs), with the aim of solving the RF dilemma between theoretical consistency and empirical performance...
August 15, 2017: IEEE Transactions on Neural Networks and Learning Systems
https://www.readbyqxmd.com/read/28816670/colorization-using-neural-network-ensemble
#10
Zezhou Cheng, Qingxiong Yang, Bin Sheng
This paper investigates into the colorization problem which converts a grayscale image to a colorful version. This is a difficult problem and normally requires manual adjustment to achieve artifact-free quality. For instance, it normally requires human-labelled color scribbles on the grayscale target image or a careful selection of colorful reference images. The recent learning-based colorization techniques automatically colorize a grayscale image using a single neural network. Since different scenes usually have distinct color styles, it is difficult to accurately capture the color characteristics using a single neural network...
August 16, 2017: IEEE Transactions on Image Processing: a Publication of the IEEE Signal Processing Society
https://www.readbyqxmd.com/read/28816669/nonlocally-multi-morphological-representation-for-image-reconstruction-from-compressive-measurements
#11
Jiao Wu, Feilong Cao, Juncheng Yin
A novel multi-morphological representation model for solving the nonlocal similarity-based image reconstruction from compressed measurements is introduced in this paper. Under the probabilistic framework, the proposed approach provides the nonlocal similarity clustering for image patches by using the Gaussian mixture models, and endows a multimorphological representation for image patches in each cluster by using the Gaussians that represent the different features to model the morphological components. Using the simple alternating iteration, the developed piecewise morphological diversity estimation (PMDE) algorithm can effectively estimate the MAP of morphological components, thus resulting in the nonlinear estimation for image patches...
August 16, 2017: IEEE Transactions on Image Processing: a Publication of the IEEE Signal Processing Society
https://www.readbyqxmd.com/read/28816665/body-structure-aware-deep-crowd-counting
#12
Siyu Huang, Xi Li, Zhongfei Zhang, Fei Wu, Shenghua Gao, Rongrong Ji, Junwei Han
Crowd counting is a challenging task, mainly due to the severe occlusions among dense crowds. This work aims to take a broader view to address crowd counting from the perspective of semantic modelling. In essence, crowd counting is a task of pedestrian semantic analysis involving three key factors: pedestrians, heads, and their context structure. The information of different body parts is an important cue to help us judge whether there exists a person at a certain position. Existing methods usually perform crowd counting from the perspective of directly modelling the visual properties of either the whole body or the heads only, without explicitly capturing the composite body-part semantic structure information that is crucial for crowd counting...
August 14, 2017: IEEE Transactions on Image Processing: a Publication of the IEEE Signal Processing Society
https://www.readbyqxmd.com/read/28816662/distortion-aware-correlation-tracking
#13
Hanhui Li, Hefeng Wu, Huifang Zhang, Shujin Lin, Xiaonan Luo, Ruomei Wang
Recently, correlation filter (CF) based tracking methods have attracted considerable attention because of their high-speed performance. However, distortion, which refers to the phenomenon that the correlation outputs of CF based trackers are distorted, remains a major obstacle for these methods. In this paper, we propose a Distortion-Aware Correlation Filter (DACF) framework, which can detect distortions and recover from tracking failures. Our framework employs a simple yet effective feature termed normed correlation response to detect distortions...
August 14, 2017: IEEE Transactions on Image Processing: a Publication of the IEEE Signal Processing Society
https://www.readbyqxmd.com/read/28816337/a-bag-of-concepts-approach-for-biomedical-document-classification-using-wikipedia-knowledge-spanish-english-cross-language-case-study
#14
Marcos A Mouriño-García, Roberto Pérez-Rodríguez, Luis E Anido-Rifón
OBJECTIVES: The ability to efficiently review the existing literature is essential for the rapid progress of research. This paper describes a classifier of text documents, represented as vectors in spaces of Wikipedia concepts, and analyses its suitability for classification of Spanish biomedical documents when only English documents are available for training. We propose the cross-language concept matching (CLCM) technique, which relies on Wikipedia interlanguage links to convert concept vectors from the Spanish to the English space...
August 16, 2017: Methods of Information in Medicine
https://www.readbyqxmd.com/read/28816017/iron-cobalt-phosphomolybdate-with-high-electrocatalystic-activity-for-oxygen-evolution-reaction
#15
Haoying Zhai, Taotao Gao, Ting Qi, Yajie Zhang, Guangfeng Zeng, Dan Xiao
Iron-cobalt phosphomolybdate (FeCoPM12) nanoparticles,a high-efficient catalytic material for oxygen evolution reaction (OER), were fabricated via a coprecipitation route. Compared with iron-cobalt hydroxide and state-of-art RuO2 electrocatalysts, the as-prepared FeCoPM12 sample exhibited robust OER catalytic activity with a low overpotential of 258 mV at a current density of 10 mA cm-2 and a small Tafel slope of 33 mV dec-1. Moreover, the as-synthesized sample presented preferable stability, and after 10 h at 1...
August 16, 2017: Chemistry, An Asian Journal
https://www.readbyqxmd.com/read/28815755/large-scale-synthesis-of-freestanding-layer-structured-pbi2-and-mapbi3-nanosheets-for-high-performance-photodetection
#16
Changyong Lan, Ruoting Dong, Ziyao Zhou, Lei Shu, Dapan Li, SenPo Yip, Johnny C Ho
Recently, due to the possibility of thinning down to the atomic thickness to achieve exotic properties, layered materials have attracted extensive research attention. In particular, PbI2 , a kind of layered material, and its perovskite derivatives, CH3 NH3 PbI3 (i.e., MAPbI3 ), have demonstrated impressive photoresponsivities for efficient photodetection. Herein, the synthesis of large-scale, high-density, and freestanding PbI2 nanosheets is demonstrated by manipulating the microenvironment during physical vapor deposition...
August 17, 2017: Advanced Materials
https://www.readbyqxmd.com/read/28815155/segmentation-of-phase-contrast-microscopy-images-based-on-multi-scale-local-basic-image-features-histograms
#17
N Jaccard, N Szita, L D Griffin
Phase contrast microscopy (PCM) is routinely used for the inspection of adherent cell cultures in all fields of biology and biomedicine. Key decisions for experimental protocols are often taken by an operator based on typically qualitative observations. However, automated processing and analysis of PCM images remain challenging due to the low contrast between foreground objects (cells) and background as well as various imaging artefacts. We propose a trainable pixel-wise segmentation approach whereby image structures and symmetries are encoded in the form of multi-scale Basic Image Features local histograms, and classification of them is learned by random decision trees...
September 3, 2017: Computer Methods in Biomechanics and Biomedical Engineering. Imaging & Visualization
https://www.readbyqxmd.com/read/28814295/the-effect-of-facility-based-antiretroviral-therapy-programs-on-outpatient-services-in-kenya-and-uganda
#18
Alexandra Wollum, Emily Dansereau, Nancy Fullman, Jane Achan, Kelsey A Bannon, Roy Burstein, Ruben O Conner, Brendan DeCenso, Anne Gasasira, Annie Haakenstad, Michael Hanlon, Gloria Ikilezi, Caroline Kisia, Aubrey J Levine, Samuel H Masters, Pamela Njuguna, Emelda A Okiro, Thomas A Odeny, D Allen Roberts, Emmanuela Gakidou, Herbert C Duber
BACKGROUND: Considerable debate exists concerning the effects of antiretroviral therapy (ART) service scale-up on non-HIV services and overall health system performance in sub-Saharan Africa. In this study, we examined whether ART services affected trends in non-ART outpatient department (OPD) visits in Kenya and Uganda. METHODS: Using a nationally representative sample of health facilities in Kenya and Uganda, we estimated the effect of ART programs on OPD visits from 2007 to 2012...
August 16, 2017: BMC Health Services Research
https://www.readbyqxmd.com/read/28813984/a-passive-wrist-with-switchable-stiffness-for-a-body-powered-hydraulically-actuated-hand-prosthesis
#19
Federico Montagnani, Gerwin Smit, Marco Controzzi, Christian Cipriani, Dick H Plettenburg
State of art upper limb prostheses lack several degrees of freedom (DoF) and force the individuals to compensate for them by changing the motions of their arms and body. Such movements often yield to articulation injuries, nonetheless these could be prevented by adding DoFs, for instance, an articulated passive wrist. Available stiff or compliant wrists with passive flexion/extension and/or radial/ulnar deviation are sub-optimal solutions. Indeed, stiff wrists induce the individuals wearing them to perform exaggerated compensatory movements during the reaching phase while compliant wrists proved to be unpractical while manipulating heavy objects...
July 2017: IEEE ... International Conference on Rehabilitation Robotics: [proceedings]
https://www.readbyqxmd.com/read/28813357/anticipation-in-sport
#20
REVIEW
Florian Loffing, Rouwen Cañal-Bruland
Anticipation has become an increasingly important research area within sport psychology since its infancy in the late 1970s. Early work has increased our fundamental understanding of skilled anticipation in sports and how this skill is developed. With increasing theoretical and practical insights and concurrent technological advancements, researchers are now able to tackle more detailed questions with sophisticated methods. Despite this welcomed progress, some fundamental questions and challenges remain to be addressed, including the (relative) contributions of visual and motor experience to anticipation, intraindividual and interindividual variation in gaze behaviour, and the impact of non-kinematic (contextual or situational) information on performance and its interaction with advanced kinematic cues during the planning and execution of (re)actions in sport...
August 2017: Current Opinion in Psychology
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