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https://www.readbyqxmd.com/read/28645212/google-searches-for-cheap-cigarettes-spike-at-tax-increases-evidence-from-an-algorithm-to-detect-spikes-in-time-series-data
#1
Theodore L Caputi
Introduction: Online cigarette dealers have lower prices than brick-and-mortar retailers and advertise tax-free status 1-8. Previous studies show smokers search out these online alternatives at the time of a cigarette tax increase 9-10. However, these studies rely upon researchers' decision to consider a specific date and preclude the possibility that researchers focus on the wrong date. The purpose of this study is to introduce an unbiased methodology to the field of observing search patterns and to use this methodology to determine whether smokers search Google for "cheap cigarettes" at cigarette tax increases and, if so, whether the increased level of searches persists...
June 22, 2017: Nicotine & Tobacco Research: Official Journal of the Society for Research on Nicotine and Tobacco
https://www.readbyqxmd.com/read/28645207/development-and-validation-of-an-electronic-medical-record-emr-based-computed-phenotype-of-hiv-1-infection
#2
Devon W Paul, Nigel B Neely, Meredith Clement, Isaretta Riley, Mashael Al-Hegelan, Matthew Phelan, Monica Kraft, David M Murdoch, Joseph Lucas, John Bartlett, Mehri McKellar, Loretta G Que
Background: Electronic medical record (EMR) computed algorithms allow investigators to screen thousands of patient records to identify specific disease cases. No computed algorithms have been developed to detect all cases of human immunodeficiency virus (HIV) infection using administrative, laboratory, and clinical documentation data outside of the Veterans Health Administration. We developed novel EMR-based algorithms for HIV detection and validated them in a cohort of subjects in the Duke University Health System (DUHS)...
June 22, 2017: Journal of the American Medical Informatics Association: JAMIA
https://www.readbyqxmd.com/read/28645202/effects-of-mobility-and-multimorbidity-on-inpatient-and-post-acute-health-care-utilization
#3
Kristine E Ensrud, Li-Yung Lui, Lisa Langsetmo, Tien N Vo, Brent C Taylor, Peggy M Cawthon, Meredith L Kilgore, Charles E McCulloch, Jane A Cauley, Marcia L Stefanick, Kristine Yaffe, Eric S Orwoll, John T Schousboe
Background: This study examines effects of mobility and multimorbidity on hospitalization and inpatient and post-acute care (PAC) facility days among older men. Methods: Prospective study of 1701 men (mean age 79.3 years) participating in MrOS Study Year 7 (Y7) examination (2007-2008) linked with their Medicare claims. At Y7, mobility ascertained by usual gait speed and categorized as poor, intermediate, or good. Multimorbidity quantified by applying Elixhauser algorithm to inpatient and outpatient claims and categorized as none, mild-moderate, or high...
June 22, 2017: Journals of Gerontology. Series A, Biological Sciences and Medical Sciences
https://www.readbyqxmd.com/read/28645191/how-effective-is-algorithm-guided-treatment-for-depressed-inpatients-results-from-the-randomized-controlled-multicenter-german-algorithm-project-3-trial
#4
Mazda Adli, Katja Wiethoff, Thomas C Baghai, Robert Fisher, Florian Seemüller, Gregor Laakmann, Peter Brieger, Joachim Cordes, Jaroslav Malevani, Gerd Laux, Iris Hauth, Hans-Jürgen Möller, Klaus-Thomas Kronmüller, Michael N Smolka, Peter Schlattmann, Maximilian Berger, Roland Ricken, Thomas J Stamm, Andreas Heinz, Michael Bauer
Background: Treatment algorithms are are considered as key to improve outcomes by enhancing the quality of care. This is the first randomized controlled study to evalutate the clinical effect of algorithm-guided treatment in inpatients with major depressive disorder (MDD). Methods: Inpatients, aged 18-70 years with MDD from 10 German psychiatric departments were randomized to 5 different treatment arms (from 2000 to 2005), three of which were standardized stepwise drug treatment algorithms (ALGO)...
June 22, 2017: International Journal of Neuropsychopharmacology
https://www.readbyqxmd.com/read/28645105/a-three-gene-immunohistochemical-panel-serves-as-an-adjunct-to-clinical-staging-of-patients-with-head-and-neck-cancer
#5
Chin-Ann J Ong, Nicholas B Shannon, Stefan Mueller, Sze Min Lek, Xuan Qiu, Fui Teen Chong, Ke Li, Kelvin K N Koh, Gerald C A Tay, Thakshayeni Skanthakumar, Jacqueline S G Hwang, Tony Kiat Hon Lim, Mei Kim Ang, Daniel S W Tan, Ngian-Chye Tan, Hiang Khoon Tan, Khee Chee Soo, N Gopalakrishna Iyer
BACKGROUND: Current management of head and neck squamous cell carcinoma (HNSCC) depends on tumor staging. Despite refinements in clinical staging algorithms, outcomes remain unchanged for the last two decades. In this study, we set out to identify a small, clinically applicable molecular panel to aid prognostication of patients with HNSCC. MATERIALS AND METHODS: Data from The Cancer Genome Atlas (TCGA) was used to derive copy number aberrations and expression changes to identify putative prognostic genes...
June 19, 2017: Oncotarget
https://www.readbyqxmd.com/read/28644960/improved-simulation-based-hr-ebsd-procedure-using-image-gradient-based-dic-techniques
#6
Jon Alkorta, Matthieu Marteleur, Pascal J Jacques
Conventional HR-EBSD is attracting much interest due to its ability of measuring relative crystal misorientations and microstresses with great accuracy. However, this technique needs the use of simulated patterns in order to get absolute values of crystal orientation and stresses and thus expand its use to intergranular analyses. Simulation-based approaches have shown many limitations due to the poor correlation with the real patterns specially when Bragg simulations are considered. This paper presents an improved algorithm based on gradient-based correlation techniques that makes simulation-based HR-EBSD possible...
June 14, 2017: Ultramicroscopy
https://www.readbyqxmd.com/read/28644874/position-and-orientation-inference-via-on-board-triangulation
#7
Madhu Advani, Daniel S Weile
This work proposes a new approach to determine the spatial location and orientation of an object using measurements performed on the object itself. The on-board triangulation algorithm we outline could be implemented in lieu of, or in addition to, well-known alternatives such as Global Positioning System (GPS) or standard triangulation, since both of these correspond to significantly different geometric pictures and necessitate different hardware and algorithms. We motivate the theory by describing situations in which on-board triangulation would be useful and even preferable to standard methods...
2017: PloS One
https://www.readbyqxmd.com/read/28644814/learning-multimodal-parameters-a-bare-bones-niching-differential-evolution-approach
#8
Yue-Jiao Gong, Jun Zhang, Yicong Zhou
Most learning methods contain optimization as a substep, where the nondifferentiability and multimodality of objectives push forward the interplay of evolutionary optimization algorithms and machine learning models. The recently emerged evolutionary multimodal optimization (MMOP) technique enables the learning of diverse sets of effective parameters for the models simultaneously, providing new opportunities to the applications requiring both accuracy and diversity, such as ensemble, interactive, and interpretive learning...
June 20, 2017: IEEE Transactions on Neural Networks and Learning Systems
https://www.readbyqxmd.com/read/28644811/applying-pattern-recognition-to-high-resolution-images-to-determine-cellular-signaling-status
#9
Michael F Lohrer, Darrin M Hanna, Yang Liu, Kang-Hsin Wang, Fu-Tong Liu, Ted A Laurence, Gang-Yu Liu
Two frequently used tools to acquire high-resolution images of cells are scanning electron microscopy (SEM) and atomic force microscopy (AFM). The former provides a nanometer resolution view of cellular features rapidly and with high throughput, while the latter enables visualizing hydrated and living cells. In current practice, these images are viewed by eye to determine cellular status, e.g. activated versus resting. Automatic and quantitative data analysis is lacking. This work develops an algorithm of pattern recognition that works very effectively for AFM and SEM images...
June 21, 2017: IEEE Transactions on Nanobioscience
https://www.readbyqxmd.com/read/28644800/online-combination-of-epid-cherenkov-imaging-for-3d-dosimetry-in-a-liquid-phantom
#10
Petr Bruza, Jacqueline M Andreozzi, David J Gladstone, Lesley A Jarvis, Joerg Rottmann, Brian W Pogue
Online acquisition of Cherenkov and portal imaging data was combined with a reconstruction scheme called EC3D, providing a full 3D dosimetry of megavoltage X-ray beams in a water tank. The methodology was demonstrated and quantified in a single static beam. Furthermore, the dynamics and visualization of the 3D dose reconstruction were demonstrated with a volumetric modulated arc therapy (VMAT) plan for TG-119 C-Shape geometry. The developed algorithm combines depth dose information, provided by Cherenkov images, with the lateral dose distribution, provided by the electronic portal imaging device (EPID)...
June 20, 2017: IEEE Transactions on Medical Imaging
https://www.readbyqxmd.com/read/28644798/joint-alignment-of-multiple-point-sets-with-batch-and-incremental-expectation-maximization
#11
Dimitrios Georgios Evangelidis, Radu Horaud
This paper addresses the problem of registering multiple point sets. Solutions to this problem are often approximated by repeatedly solving for pairwise registration, which results in an uneven treatment of the sets forming a pair: a model set and a data set. The main drawback of this strategy is that the model set may contain noise and outliers, which negatively affects the estimation of the registration parameters. In contrast, the proposed formulation treats all the point sets on an equal footing. Indeed, all the points are drawn from a central Gaussian mixture, hence the registration is cast into a clustering problem...
June 21, 2017: IEEE Transactions on Pattern Analysis and Machine Intelligence
https://www.readbyqxmd.com/read/28644797/spatiotemporal-gmm-for-background-subtraction-with-superpixel-hierarchy
#12
Mingliang Chen, Xing Wei, Qingxiong Yang, Qing Li, Gang Wang, Ming-Hsuan Yang
We propose a background subtraction algorithm using hierarchical superpixel segmentation, spanning trees and optical flow. First, we generate superpixel segmentation trees using a number of Gaussian Mixture Models (GMMs) by treating each GMM as one vertex to construct spanning trees. Next, we use the M-smoother to enhance the spatial consistency on the spanning trees and estimate optical flow to extend the M-smoother to the temporal domain. Experimental results on synthetic and real-world benchmark datasets show that the proposed algorithm performs favorably for background subtraction in videos against the state-of-the-art methods in spite of frequent and sudden changes of pixel values...
June 21, 2017: IEEE Transactions on Pattern Analysis and Machine Intelligence
https://www.readbyqxmd.com/read/28644795/a-novel-short-term-event-extraction-algorithm-for-biomedical-signals
#13
Sasan Yazdani, Sibylle Fallet, Jean-Marc Vesin
In this paper we propose a fast novel non-linear filtering method named Relative-Energy (Rel-En), for robust short-term event extraction from biomedical signals. We developed an algorithm that extracts short- and long-term energies in a signal and provides a coefficient vector with which the signal is multiplied, heightening events of interest. This algorithm is thoroughly assessed on benchmark datasets in three different biomedical applications namely, ECG QRS-complex detection, EEG K-complex detection, and imaging photoplethysmography (iPPG) peak detection...
June 21, 2017: IEEE Transactions on Bio-medical Engineering
https://www.readbyqxmd.com/read/28644794/electrocardiogram-signal-quality-assessment-based-on-structural-image-similarity-metric
#14
Yalda Shahriari, Richard Fidler, Michele Pelter, Yong Bai, Andrea Villaroman, Xiao Hu
OBJECTIVE: We developed an image-based electrocardiographic (ECG) quality assessment technique that mimics how clinicians annotate ECG signal quality. METHODS: We adopted the Structural Similarity Measure (SSIM) to compare images of two ECG records that are obtained from displaying ECGs in a standard scale. Then a subset of representative ECG images from the training set was selected as templates through a clustering method. SSIM between each image and all the templates were used as the feature vector for the linear discriminant analysis (LDA) classifier...
June 21, 2017: IEEE Transactions on Bio-medical Engineering
https://www.readbyqxmd.com/read/28644669/entanglement-and-nonlocality-in-infinite-1d-systems
#15
Zizhu Wang, Sukhwinder Singh, Miguel Navascués
We consider the problem of detecting entanglement and nonlocality in one-dimensional (1D) infinite, translation-invariant (TI) systems when just near-neighbor information is available. This issue is deeper than one might think a priori, since, as we show, there exist instances of local separable states (classical boxes) which admit only entangled (nonclassical) TI extensions. We provide a simple characterization of the set of local states of multiseparable TI spin chains and construct a family of linear witnesses which can detect entanglement in infinite TI states from the nearest-neighbor reduced density matrix...
June 9, 2017: Physical Review Letters
https://www.readbyqxmd.com/read/28644425/significance-of-parathyroid-scintigraphy-and-correlation-of-findings-with-parathyroid-hormone-values-in-patients-undergoing-hemodialysis
#16
Nermana Ahmetbegović, Nadira Suljagić, Vahidin Katica
Aim To compare finding of thyroid gland scintigraphy with serum concentration of parathyroid hormone in patients undergoing hemodialysis. Methods This retrospective-prospective study included 50 patients undergoing hemodialysis with established hyperparathyroidism who were treated at Cantonal Hospital Zenica in the period 2009 - 2014. Besides anthropological data, concentration of parathyroid hormone in serum of patients was monitored too. Scintigraphy was performed at the Department of Nuclear Medicine using two-headed gamma camera Prism 2000xp...
August 1, 2017: Medicinski Glasnik
https://www.readbyqxmd.com/read/28644419/context-relevant-prediction-model-for-copd-domain-using-bayesian-belief-network
#17
Hamid Mcheick, Lokman Saleh, Hicham Ajami, Hafedh Mili
In the last three decades, researchers have examined extensively how context-aware systems can assist people, specifically those suffering from incurable diseases, to help them cope with their medical illness. Over the years, a huge number of studies on Chronic Obstructive Pulmonary Disease (COPD) have been published. However, how to derive relevant attributes and early detection of COPD exacerbations remains a challenge. In this research work, we will use an efficient algorithm to select relevant attributes where there is no proper approach in this domain...
June 23, 2017: Sensors
https://www.readbyqxmd.com/read/28644398/a-novel-wearable-forehead-eog-measurement-system-for-human-computer-interfaces
#18
Jeong Heo, Heenam Yoon, Kwang Suk Park
Amyotrophic lateral sclerosis (ALS) patients whose voluntary muscles are paralyzed commonly communicate with the outside world using eye movement. There have been many efforts to support this method of communication by tracking or detecting eye movement. An electrooculogram (EOG), an electro-physiological signal, is generated by eye movements and can be measured with electrodes placed around the eye. In this study, we proposed a new practical electrode position on the forehead to measure EOG signals, and we developed a wearable forehead EOG measurement system for use in Human Computer/Machine interfaces (HCIs/HMIs)...
June 23, 2017: Sensors
https://www.readbyqxmd.com/read/28644378/an-energy-efficient-multi-tier-architecture-for-fall-detection-using-smartphones
#19
M Amac Guvensan, A Oguz Kansiz, N Cihan Camgoz, H Irem Turkmen, A Gokhan Yavuz, M Elif Karsligil
Automatic detection of fall events is vital to providing fast medical assistance to the causality, particularly when the injury causes loss of consciousness. Optimization of the energy consumption of mobile applications, especially those which run 24/7 in the background, is essential for longer use of smartphones. In order to improve energy-efficiency without compromising on the fall detection performance, we propose a novel 3-tier architecture that combines simple thresholding methods with machine learning algorithms...
June 23, 2017: Sensors
https://www.readbyqxmd.com/read/28644375/gaden-a-3d-gas-dispersion-simulator-for-mobile-robot-olfaction-in-realistic-environments
#20
Javier Monroy, Victor Hernandez-Bennets, Han Fan, Achim Lilienthal, Javier Gonzalez-Jimenez
This work presents a simulation framework developed under the widely used Robot Operating System (ROS) to enable the validation of robotics systems and gas sensing algorithms under realistic environments. The framework is rooted in the principles of computational fluid dynamics and filament dispersion theory, modeling wind flow and gas dispersion in 3D real-world scenarios (i.e., accounting for walls, furniture, etc.). Moreover, it integrates the simulation of different environmental sensors, such as metal oxide gas sensors, photo ionization detectors, or anemometers...
June 23, 2017: Sensors
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