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https://www.readbyqxmd.com/read/28438000/development-of-limited-view-and-three-dimensional-reconstruction-method-for-analysis-of-electrohydrodynamic-jetting-behavior
#1
Yeonghyeon Gim, Dong Ho Shin, Do Yoon Moh, Han Seo Ko
For an electrohydrodynamic (EHD) jet, variables such as the direction of the meniscus and the ejection stability need to be analyzed. Thus, the EHD jet should be observed three-dimensionally (3D) because the variables can only be obtained in the 3D field, especially in unstable modes. However, if the 3D field is reconstructed from multi-directional binary images, eliminating reconstruction errors caused by invisible areas is almost impossible, even when using a tomographic technique. To solve this problem, a new 3D reconstruction method including an ellipse estimation was developed in this study...
April 17, 2017: Optics Express
https://www.readbyqxmd.com/read/28437997/effect-of-zno-nanostructures-on-the-optical-properties-of-white-light-emitting-diodes
#2
Longshi Rao, Yong Tang, ZongTao Li, Xinrui Ding, Jiasheng Li, Shudong Yu, Caiman Yan, Hangaung Lu
White light produced by blue LEDs with yellow phosphor is the most widely used methods, but it results in poor quality in angular CCT uniformity. In this work, a novel technique was introduced to solve this problem by integrating different ZnO nanostructures into white light-emitting diodes. The experiment of ZnO doped films and the simulation of Finite-Difference Time-Domain (FDTD) were carried out. The result indicated scattering effect of ZnO nanoparticles could improve uniformity of scattering energy effectively...
April 17, 2017: Optics Express
https://www.readbyqxmd.com/read/28437438/use-of-the-matrics-consensus-cognitive-battery-mccb-to-evaluate-cognitive-deficits-in-bipolar-disorder-a-systematic-review-and-meta-analysis
#3
Qijing Bo, Zhen Mao, Xianbin Li, Zhimin Wang, Chuanyue Wang, Xin Ma
BACKGROUND: The Measurement and Treatment Research to Improve Cognition Schizophrenia Consensus Cognitive Battery (MCCB) has also been proposed for use in clinical trials to assess cognitive deficits in patients with bipolar disorder (BD). The aim of this study was to evaluate cognitive function assessed by the MCCB in BD. METHODS: A literature search of the PubMed, Embase, PsycINFO, SCI, Cochrane Library databases and the Cochrane Controlled Trials Register was conducted...
2017: PloS One
https://www.readbyqxmd.com/read/28437350/biomechanical-effects-of-a-dynamic-topping-off-instrumentation-in-a-long-rigid-pedicle-screw-construct
#4
Michael Reichl, Rebecca A Kueny, Reza Danyali, Peter Obid, Hüseyin Übeyli, Klaus Püschel, Michael M Morlock, Gerd Huber, Thomas Niemeyer, Alexander Richter
STUDY DESIGN: Biomechanical ex vivo study. OBJECTIVE: To determine if topping off instrumentation can reduce the hypermobility in the adjacent segments when compared with the classic rigid spinal instrumentation. SUMMARY OF THE BACKGROUND DATA: Long rigid instrumentation might increase the mechanical load in the adjacent segments, the resulting hypermobility, and the risk for adjacent segment disease. Topping off instrumentation intends to reduce the hypermobility at the adjacent level by more evenly distributing segmental motion and, thereby, potentially mitigating adjacent level disease...
May 2017: Clinical Spine Surgery
https://www.readbyqxmd.com/read/28436915/an-adaptive-multiobjective-particle-swarm-optimization-based-on-multiple-adaptive-methods
#5
Honggui Han, Wei Lu, Junfei Qiao
Multiobjective particle swarm optimization (MOPSO) algorithms have attracted much attention for their promising performance in solving multiobjective optimization problems (MOPs). In this paper, an adaptive MOPSO (AMOPSO) algorithm, based on a hybrid framework of the solution distribution entropy and population spacing (SP) information, is developed to improve the search performance in terms of convergent speed and precision. First, an adaptive global best (gBest) selection mechanism, based on the solution distribution entropy, is introduced to analyze the evolutionary tendency and balance the diversity and convergence of nondominated solutions in the archive...
April 17, 2017: IEEE Transactions on Cybernetics
https://www.readbyqxmd.com/read/28436912/distributed-position-based-consensus-of-second-order-multiagent-systems-with-continuous-intermittent-communication
#6
Qiang Song, Fang Liu, Guanghui Wen, Jinde Cao, Xinsong Yang
This paper considers the position-based consensus in a network of agents with double-integrator dynamics and directed topology. Two types of distributed observer algorithms are proposed to solve the consensus problem by utilizing continuous and intermittent position measurements, respectively, where each observer does not interact with any other observers. For the case of continuous communication between network agents, some convergence conditions are derived for reaching consensus in the network with a single constant delay or multiple time-varying delays on the basis of the eigenvalue analysis and the descriptor method...
April 24, 2017: IEEE Transactions on Cybernetics
https://www.readbyqxmd.com/read/28436905/robust-structured-nonnegative-matrix-factorization-for-image-representation
#7
Zechao Li, Jinhui Tang, Xiaofei He
Dimensionality reduction has attracted increasing attention, because high-dimensional data have arisen naturally in numerous domains in recent years. As one popular dimensionality reduction method, nonnegative matrix factorization (NMF), whose goal is to learn parts-based representations, has been widely studied and applied to various applications. In contrast to the previous approaches, this paper proposes a novel semisupervised NMF learning framework, called robust structured NMF, that learns a robust discriminative representation by leveraging the block-diagonal structure and the ℓ2,p-norm (especially when 0 < p ≤ q 1) loss function...
April 17, 2017: IEEE Transactions on Neural Networks and Learning Systems
https://www.readbyqxmd.com/read/28436902/learning-to-predict-consequences-as-a-method-of-knowledge-transfer-in-reinforcement-learning
#8
Eric Chalmers, Edgar Bermudez Contreras, Brandon Robertson, Artur Luczak, Aaron Gruber
The reinforcement learning (RL) paradigm allows agents to solve tasks through trial-and-error learning. To be capable of efficient, long-term learning, RL agents should be able to apply knowledge gained in the past to new tasks they may encounter in the future. The ability to predict actions' consequences may facilitate such knowledge transfer. We consider here domains where an RL agent has access to two kinds of information: agent-centric information with constant semantics across tasks, and environment-centric information, which is necessary to solve the task, but with semantics that differ between tasks...
April 17, 2017: IEEE Transactions on Neural Networks and Learning Systems
https://www.readbyqxmd.com/read/28436900/a-discrete-time-recurrent-neural-network-for-solving-rank-deficient-matrix-equations-with-an-application-to-output-regulation-of-linear-systems
#9
Tao Liu, Jie Huang
This paper presents a discrete-time recurrent neural network approach to solving systems of linear equations with two features. First, the system of linear equations may not have a unique solution. Second, the system matrix is not known precisely, but a sequence of matrices that converges to the unknown system matrix exponentially is known. The problem is motivated from solving the output regulation problem for linear systems. Thus, an application of our main result leads to an online solution to the output regulation problem for linear systems...
April 17, 2017: IEEE Transactions on Neural Networks and Learning Systems
https://www.readbyqxmd.com/read/28436891/off-policy-reinforcement-learning-for-synchronization-in-multiagent-graphical-games
#10
Jinna Li, Hamidreza Modares, Tianyou Chai, Frank L Lewis, Lihua Xie
This paper develops an off-policy reinforcement learning (RL) algorithm to solve optimal synchronization of multiagent systems. This is accomplished by using the framework of graphical games. In contrast to traditional control protocols, which require complete knowledge of agent dynamics, the proposed off-policy RL algorithm is a model-free approach, in that it solves the optimal synchronization problem without knowing any knowledge of the agent dynamics. A prescribed control policy, called behavior policy, is applied to each agent to generate and collect data for learning...
April 17, 2017: IEEE Transactions on Neural Networks and Learning Systems
https://www.readbyqxmd.com/read/28436871/a-systematic-approach-for-cross-source-point-cloud-registration-by-preserving-macro-and-micro-structures
#11
Xiaoshui Huang, Jian Zhang, Lixin Fan, Qiang Wu, Chun Yuan
We propose a systematic approach for registering cross-source point clouds that come from different kinds of sensors. This task is especially challenging due to the presence of significant missing data, large variations in point density, scale difference, large proportion of noise and outliers. The robustness of the method is attributed to the extraction of macro and micro structures. Macro structure is the overall structure that maintains similar geometric layout in cross-source point clouds. Micro structure is the element (e...
April 19, 2017: IEEE Transactions on Image Processing: a Publication of the IEEE Signal Processing Society
https://www.readbyqxmd.com/read/28436858/a-spectral-ct-method-to-directly-estimate-basis-material-maps-from-experimental-photon-counting-data
#12
Taly Schmidt, Rina Barber, Emil Sidky
The proposed spectral CT method solves the constrained one-step spectral CT reconstruction (cOSSCIR) optimization problem to estimate basis material maps while modeling the nonlinear X-ray detection process and enforcing convex constraints on the basis map images. In order to apply the optimization-based reconstruction approach to experimental data, the presented method empirically estimates the effective energy-window spectra using a calibration procedure. The amplitudes of the estimated spectra were further optimized as part of the reconstruction process to reduce ring artifacts...
April 24, 2017: IEEE Transactions on Medical Imaging
https://www.readbyqxmd.com/read/28436456/synthesis-and-anti-obesity-effects-in-vivo-of-crotadihydrofuran-c-as-a-novel-ppar%C3%AE-antagonist-from-crotalaria-albida
#13
Qin-Hu Sun, Yu Zhang, Gui-Xin Chou
Crotadihydrofuran C (CC) from the herbs of Crotalaria albida is able to inhibit adipocyte differentiation and lipid accumulation. However, the effects of CC on obesity and metabolic disorders have not yet been elucidated. In our study, the first enantioselective synthesis of the 2-isopropenyl dihydrofuran isoflavone skeleton (CC) is described. The convenient and efficient synthetic protocols developed skilfully solve the problems of the ortho-para directing group and Suzuki coupling reaction using a boronic acid pinacol ester that was more stable and easy to obtain...
April 24, 2017: Scientific Reports
https://www.readbyqxmd.com/read/28435833/diet-in-acne-vulgaris-open-or-solved-problem
#14
Jakub Morze, Katarzyna Eufemia Przybylowicz, Anna Danielewicz, Małgorzata Obara-Golebiowska
No abstract text is available yet for this article.
March 2017: Iranian Journal of Public Health
https://www.readbyqxmd.com/read/28435659/an-investigative-framework-to-facilitate-epidemiological-thinking-during-herd-problem-solving
#15
Simon J More, Michael L Doherty, Luke O'Grady
Veterinary clinicians and students commonly use diagnostic approaches appropriate for individual cases when conducting herd problem-solving. However, these approaches can be problematic, in part because they make limited use of epidemiological principles and methods, which has clear application during the investigation of herd problems. In this paper, we provide an overview of diagnostic approaches that are used when investigating individual animal cases, and the challenges faced when these approaches are directly translated from the individual to the herd...
2017: Irish Veterinary Journal
https://www.readbyqxmd.com/read/28435576/a-new-technique-for-solving-tightrope-cutout-during-acromioclavicular-joint-fixation-a-case-report
#16
B W Ng, A F Abdullah, S Nadarajah
Acromioclavicular joint (ACJ) dissociation is one of the common injuries affecting adults. The stability of ACJ largely depends on the integrity of acromioclavicular ligament, coracoclavicular ligament, capsule, trapezius muscle and deltoid muscle. The injury has been classified by Rockwood into six types and treatment options can be guided by the classification. TightRope fixation is one of the many surgical procedures available to address acromioclavicular joint separation. It consists of tensioning of a no...
March 2017: Malaysian Orthopaedic Journal
https://www.readbyqxmd.com/read/28435440/core-column-prediction-for-protein-multiple-sequence-alignments
#17
Dan DeBlasio, John Kececioglu
BACKGROUND: In a computed protein multiple sequence alignment, the coreness of a column is the fraction of its substitutions that are in so-called core columns of the gold-standard reference alignment of its proteins. In benchmark suites of protein reference alignments, the core columns of the reference alignment are those that can be confidently labeled as correct, usually due to all residues in the column being sufficiently close in the spatial superposition of the known three-dimensional structures of the proteins...
2017: Algorithms for Molecular Biology: AMB
https://www.readbyqxmd.com/read/28434821/an-overview-of-geophysical-technologies-appropriate-for-characterization-and-monitoring-at-fractured-rock-sites
#18
Frederick D Day-Lewis, Lee D Slater, Judy Robinson, Carole D Johnson, Neil Terry, Dale Werkema
Geophysical methods are used increasingly for characterization and monitoring at remediation sites in fractured-rock aquifers. The complex heterogeneity of fractured rock poses enormous challenges to groundwater remediation professionals, and new methods are needed to cost-effectively infer fracture and fracture-zone locations, orientations and properties, and to develop conceptual site models for flow and transport. Despite the potential of geophysical methods to "see" between boreholes, two issues have impeded the adoption of geophysical methods by remediation professionals...
April 20, 2017: Journal of Environmental Management
https://www.readbyqxmd.com/read/28434427/prenatal-fish-oil-supplementation-and-early-childhood-development-in-the-upstate-kids-study
#19
K Vollet, A Ghassabian, R Sundaram, N Chahal, E H Yeung
Fish oil contains omega-3 fatty acids, which play a vital role in fetal growth and development. In utero exposure to omega-3 fatty acids is exclusively dependent on maternal nutrition. Previous studies have suggested that prenatal fish oil supplementation has positive impacts on child neurodevelopment later in life. This study examines the associations between fish oil supplementation both before pregnancy and throughout pregnancy and subsequent child development. Mother-child pairs from the Upstate KIDS Study, a birth cohort consisting of children born between 2008 and 2010, were included...
April 24, 2017: Journal of Developmental Origins of Health and Disease
https://www.readbyqxmd.com/read/28433947/maximum-likelihood-estimation-of-cardiac-fiber-bundle-orientation-from-arbitrarily-spaced-diffusion-weighted-images
#20
Andreas Nagler, Cristóbal Bertoglio, Christian T Stoeck, Sebastian Kozerke, Wolfgang A Wall
We propose an estimation scheme for local fiber bundle direction in the left ventricle directly from gray values of arbitrarily spaced cardiac diffusion weighted images (DWI). The approach is based on a parametric and space-dependent mathematical representation of the myocardial fiber bundle orientation and hence the diffusion tensor (DT) for the ventricular geometry. By solving a nonlinear inverse problem derived from a maximum likelihood estimator, the degrees of freedom of the fiber and DT model can be estimated from the measured gray values of the DWIs...
April 4, 2017: Medical Image Analysis
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