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https://www.readbyqxmd.com/read/28329819/development-of-a-physical-environmental-observational-tool-for-dining-environments-in-long-term-care-settings
#1
Habib Chaudhury, Heather Keller, Kaylen Pfisterer, Lillian Hung
Purpose: This paper presents the first standardized physical environmental assessment tool titled Dining Environment Audit Protocol (DEAP) specifically designed for dining spaces in care homes and reports the results of its psychometric properties. Items rated include: adequacy of lighting, glare, personal control, clutter, staff supervision support, restraint use, and seating arrangement option for social interaction. Two scales summarize the prior items and rate the overall homelikeness and functionality of the space...
February 20, 2017: Gerontologist
https://www.readbyqxmd.com/read/28328505/blocked-elements-in-1-d-and-2-d-arrays-part-ii-compensation-methods-as-applied-to-large-coherent-apertures
#2
Marko Jakovljevic, Nick Bottenus, Lily Kuo, Shalki Kumar, Jeremy J Dahl, Gregg E Trahey
In Part I of the paper, we detected elements blocked by ribs during simulated and in vivo transcostal liver scans, and we turned those elements off to compensate for the loss in visibility of liver vasculature. Here, we apply blocked-element detection and adaptive compensation to large synthetic aperture data collected through rib samples ex vivo, in order to reduce near-field clutter and to recover lateral resolution. To construct large synthetic transmit and receive apertures, we collected the individual channel signals from a fully-sampled matrix array at multiple and know array locations across the tissue samples...
March 16, 2017: IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control
https://www.readbyqxmd.com/read/28321287/keeping-safe-intra-individual-consistency-in-obstacle-avoidance-behaviour-across-grasping-and-locomotion-tasks
#3
Karina Kangur, Jutta Billino, Constanze Hesse
Successful obstacle avoidance requires a close coordination of the visual and the motor systems. Visual information is essential for adjusting movements in order to avoid unwanted collisions. Yet, established obstacle avoidance paradigms have typically either focused on gaze strategies or on motor adjustments. Here we were interested in whether humans show similar visuomotor sensitivity to obstacles when gaze and motor behaviour are measured across different obstacle avoidance tasks. To this end, we measured participants' hand movement paths when grasping targets in the presence of obstacles as well as their gaze behaviour when walking through a cluttered hallway...
January 2017: I-Perception
https://www.readbyqxmd.com/read/28320644/visualizing-rank-time-series-of-wikipedia-top-viewed-pages
#4
Jing Xia, Yumeng Hou, Yingjie Victor Chen, Zhenyu Cheryl Qian, David S Ebert, Wei Chen
Visual clutter is a common challenge when visualizing large rank time series data. WikiTopReader, a reader of Wikipedia page rank, lets users explore connections among top-viewed pages by connecting page-rank behaviors with page-link relations. Such a combination enhances the unweighted Wikipedia page-link network and focuses attention on the page of interest. A set of user evaluations shows that the system effectively represents evolving ranking patterns and page-wise correlation.
March 2017: IEEE Computer Graphics and Applications
https://www.readbyqxmd.com/read/28316563/a-saccade-based-framework-for-real-time-motion-segmentation-using-event-based-vision-sensors
#5
Abhishek Mishra, Rohan Ghosh, Jose C Principe, Nitish V Thakor, Sunil L Kukreja
Motion segmentation is a critical pre-processing step for autonomous robotic systems to facilitate tracking of moving objects in cluttered environments. Event based sensors are low power analog devices that represent a scene by means of asynchronous information updates of only the dynamic details at high temporal resolution and, hence, require significantly less calculations. However, motion segmentation using spatiotemporal data is a challenging task due to data asynchrony. Prior approaches for object tracking using neuromorphic sensors perform well while the sensor is static or a known model of the object to be followed is available...
2017: Frontiers in Neuroscience
https://www.readbyqxmd.com/read/28294138/machine-learning-applications-in-cell-image-analysis
#6
REVIEW
Andrey Kan
Machine learning refers to a set of automatic pattern recognition methods that have been successfully applied across various problem domains, including biomedical image analysis. This review focuses on machine learning applications for image analysis in light microscopy experiments with typical tasks of segmenting and tracking individual cells, and modelling of reconstructed lineage trees. After describing a typical image analysis pipeline and highlighting challenges of automatic analysis (e.g., variability in cell morphology, tracking in presence of clutters) this review gives a brief historical outlook of machine learning, followed by basic concepts and definitions required for understanding examples...
March 15, 2017: Immunology and Cell Biology
https://www.readbyqxmd.com/read/28272456/computer-vision-and-machine-learning-for-robust-phenotyping-in-genome-wide-studies
#7
Jiaoping Zhang, Hsiang Sing Naik, Teshale Assefa, Soumik Sarkar, R V Chowda Reddy, Arti Singh, Baskar Ganapathysubramanian, Asheesh K Singh
Traditional evaluation of crop biotic and abiotic stresses are time-consuming and labor-intensive limiting the ability to dissect the genetic basis of quantitative traits. A machine learning (ML)-enabled image-phenotyping pipeline for the genetic studies of abiotic stress iron deficiency chlorosis (IDC) of soybean is reported. IDC classification and severity for an association panel of 461 diverse plant-introduction accessions was evaluated using an end-to-end phenotyping workflow. The workflow consisted of a multi-stage procedure including: (1) optimized protocols for consistent image capture across plant canopies, (2) canopy identification and registration from cluttered backgrounds, (3) extraction of domain expert informed features from the processed images to accurately represent IDC expression, and (4) supervised ML-based classifiers that linked the automatically extracted features with expert-rating equivalent IDC scores...
March 8, 2017: Scientific Reports
https://www.readbyqxmd.com/read/28268360/embedded-clutter-reduction-and-face-detection-algorithms-for-a-visual-prosthesis
#8
Derek M Rollend, Paul E Rosendall, Kevin C Wolfe, Dean M Kleissas, Seth D Billings, Jonathan M Oben, John B Helder, Francesco V Tenore, Philippe M Burlina, Arup Roy, Robert Greenberg, Kapil D Katyal
Retinal prosthetic devices can significantly and positively impact the ability of visually challenged individuals to live a more independent life. We describe a visual processing system which leverages image analysis techniques to produce visual patterns and allows the user to more effectively perceive their environment. These patterns are used to stimulate a retinal prosthesis to allow self guidance and a higher degree of autonomy for the affected individual. Specifically, we describe an image processing pipeline that allows for object and face localization in cluttered environments as well as various contrast enhancement strategies in the "implanted image...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28263556/a-chemical-probe-strategy-for-interrogating-inhibitor-selectivity-across-the-mek-kinase-family
#9
Kristine K Deibler, Rama K Mishra, Matthew R Clutter, Aleksandar Antanasijevic, Raymond Bergan, Michael Caffrey, Karl A Scheidt
MEK4 is an upstream kinase in MAPK signaling pathways where it phosphorylates p38 MAPK and JNK in response to mitogenic and cellular stress queues. MEK4 is overexpressed and induces metastasis in advanced prostate cancer lesions. However, the value of MEK4 as an oncology target has not been pharmacologically validated because selective chemical probes targeting MEK4 have not been developed. Despite a high level of sequence homology in the ATP-binding site, most reported MEK inhibitors are selective for MEK1/2 and display reduced potency toward other MEKs...
March 20, 2017: ACS Chemical Biology
https://www.readbyqxmd.com/read/28257592/visualization-of-cell-composition-and-maturation-in-the-bone-marrow-using-10-color-flow-cytometry-and-radar-plots
#10
Katayoon Jafari, Anne Tierens, Amr Rajab, Rumina Musani, André Schuh, Anna Porwit
BACKGROUND: The enormous potential of complex data files generated by 10-color flow cytometry (FC) is hindered by the requirement for exhaustive manual gating and the complexity of multidimensional data visualization. We propose a model using radar plots (RPs), to improve FC data visualization by capturing multidimensionality and integration of FC findings. METHOD: We analysed 12 normal/reactive bone marrow (N/R BM) samples and 12 BM samples from patients with myelodysplasia (MDS) with 10-color FC...
March 3, 2017: Cytometry. Part B, Clinical Cytometry
https://www.readbyqxmd.com/read/28226523/embedded-clutter-reduction-and-face-detection-algorithms-for-a-visual-prosthesis
#11
Derek M Rollend, Paul E Rosendall, Kevin C Wolfe, Dean M Kleissas, Seth D Billings, Jonathan M Oben, John B Helder, Francesco V Tenore, Philippe M Burlina, Arup Roy, Robert Greenberg, Kapil D Katyal, Derek M Rollend, Paul E Rosendall, Kevin C Wolfe, Dean M Kleissas, Seth D Billings, Jonathan M Oben, John B Helder, Francesco V Tenore, Philippe M Burlina, Arup Roy, Robert Greenberg, Kapil D Katyal, Arup Roy, Dean M Kleissas, John B Helder, Seth D Billings, Robert Greenberg, Philippe M Burlina, Derek M Rollend, Paul E Rosendall, Jonathan M Oben, Kapil D Katyal, Francesco V Tenore, Kevin C Wolfe
Retinal prosthetic devices can significantly and positively impact the ability of visually challenged individuals to live a more independent life. We describe a visual processing system which leverages image analysis techniques to produce visual patterns and allows the user to more effectively perceive their environment. These patterns are used to stimulate a retinal prosthesis to allow self guidance and a higher degree of autonomy for the affected individual. Specifically, we describe an image processing pipeline that allows for object and face localization in cluttered environments as well as various contrast enhancement strategies in the "implanted image...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28223519/robust-sampling-of-decision-information-during-perceptual-choice
#12
Hildward Vandormael, Santiago Herce Castañón, Jan Balaguer, Vickie Li, Christopher Summerfield
Humans move their eyes to gather information about the visual world. However, saccadic sampling has largely been explored in paradigms that involve searching for a lone target in a cluttered array or natural scene. Here, we investigated the policy that humans use to overtly sample information in a perceptual decision task that required information from across multiple spatial locations to be combined. Participants viewed a spatial array of numbers and judged whether the average was greater or smaller than a reference value...
March 7, 2017: Proceedings of the National Academy of Sciences of the United States of America
https://www.readbyqxmd.com/read/28197086/distinct-neural-signatures-for-very-small-and-very-large-numerosities
#13
Michele Fornaciai, Joonkoo Park
Behavioral studies of numerical cognition have shown that perceptual threshold for numerosity discrimination depends on the range of numerical values to be estimated. Discrimination threshold is constant when comparing very small numerosities via the mechanism called subitizing, while it increases as a function of numerosity for numbers beyond that range governed by subitizing. However, when numerosity gets so large that the individual elements start to form a cluttered ensemble, discrimination threshold increases as a function of the square root of numerosity...
2017: Frontiers in Human Neuroscience
https://www.readbyqxmd.com/read/28186887/accelerated-singular-value-based-ultrasound-blood-flow-clutter-filtering-with-randomized-singular-value-decomposition-rsvd-and-randomized-spatial-downsampling
#14
Pengfei Song, Joshua Trzasko, Armando Manduca, Bo Qiang, Ramanathan Kadirvel, David Kallmes, Shigao Chen
Singular value decomposition (SVD)-based ultrasound blood flow clutter filters have recently demonstrated substantial improvement in clutter rejection for ultrafast plane wave microvessel imaging, and have become the commonly used clutter filtering method for many novel ultrafast imaging applications such as functional ultrasound and super-resolution imaging. At present, however, the computational burden of SVD remains as a major hurdle for practical implementation and clinical translation of this method. To address this challenge, in the study we present two blood flow clutter filtering methods based on randomized singular value decomposition (rSVD) and randomized spatial downsampling to accelerate SVD clutter filtering with minimal compromise to the clutter filter performance...
February 7, 2017: IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control
https://www.readbyqxmd.com/read/28186878/latent-class-hough-forests-for-6-dof-object-pose-estimation
#15
Rigas Kouskouridas, Alykhan Tejani, Andreas Doumanoglou, Danhang Tang, Tae-Kyun Kim
In this paper we present Latent-Class Hough Forests, a method for object detection and 6 DoF pose estimation in heavily cluttered and occluded scenarios. We adapt a state of the art template matching feature into a scale-invariant patch descriptor and integrate it into a regression forest using a novel template-based split function. We train with positive samples only and we treat class distributions at the leaf nodes as latent variables. During testing we infer by iteratively updating these distributions, providing accurate estimation of background clutter and foreground occlusions and, thus, better detection rate...
February 7, 2017: IEEE Transactions on Pattern Analysis and Machine Intelligence
https://www.readbyqxmd.com/read/28182476/evolving-the-keys-to-visual-crowding
#16
Erik Van der Burg, Christian N L Olivers, John Cass
Peripheral vision can be severely impaired by nearby clutter. Decades of research using sparse displays have established that this phenomenon, known as visual crowding, follows Bouma's rule: Interference occurs for target-distractor separations up to half the target's eccentricity. Although considered a fundamental constraint on human vision, it is unclear whether Bouma's rule holds in dense heterogeneous visual environments. Using a genetic algorithm we investigated crowding in densely cluttered displays. Participants were instructed to identify the orientation of a target line (6° eccentricity) among 284 distractor lines...
February 9, 2017: Journal of Experimental Psychology. Human Perception and Performance
https://www.readbyqxmd.com/read/28167407/efficient-blood-flow-visualization-using-flowline-extraction-and-opacity-modulation-based-on-vascular-structure-analysis
#17
Ohjae Kwon, Jeongjin Lee, Bohyoung Kim, Juneseuk Shin, Yeong-Gil Shin
With the recent advances regarding the acquisition and simulation of blood flow data, blood flow visualization has been widely used in medical imaging for the diagnosis and treatment of pathological vessels. In this paper, we present a novel method for the visualization of the blood flow in vascular structures. The vessel inlet or outlet is first identified using the orthogonality metric between the normal vectors of the flow velocity and vessel surface. Then, seed points are generated on the identified inlet or outlet by Poisson disk sampling...
March 1, 2017: Computers in Biology and Medicine
https://www.readbyqxmd.com/read/28163996/acceptability-of-treatments-and-services-for-individuals-with-hoarding-behaviors
#18
Carolyn I Rodriguez, Amanda Levinson, Sapana R Patel, Kim Rottier, Jordana Zwerling, Susan Essock, Lee Shuer, Randy O Frost, Helen Blair Simpson
OBJECTIVE: To explore the acceptability of currently available treatments and services for individuals who self-report hoarding behaviors. METHOD: Between 10/2013 and 8/2014, participants were invited to complete an online survey that provided them descriptions of eleven treatments and services for hoarding behaviors and asked them to evaluate their acceptability using quantitative (0 [not at all acceptable] -10 [completely acceptable]) Likert scale ratings. The a priori definition of acceptability for a given resource was an average Likert scale score of six or greater...
October 2016: Journal of Obsessive-compulsive and related Disorders
https://www.readbyqxmd.com/read/28163883/rules-to-fly-by-pigeons-navigating-horizontal-obstacles-limit-steering-by-selecting-gaps-most-aligned-to-their-flight-direction
#19
Ivo G Ros, Partha S Bhagavatula, Huai-Ti Lin, Andrew A Biewener
Flying animals must successfully contend with obstacles in their natural environments. Inspired by the robust manoeuvring abilities of flying animals, unmanned aerial systems are being developed and tested to improve flight control through cluttered environments. We previously examined steering strategies that pigeons adopt to fly through an array of vertical obstacles (VOs). Modelling VO flight guidance revealed that pigeons steer towards larger visual gaps when making fast steering decisions. In the present experiments, we recorded three-dimensional flight kinematics of pigeons as they flew through randomized arrays of horizontal obstacles (HOs)...
February 6, 2017: Interface Focus
https://www.readbyqxmd.com/read/28139707/suppression-of-emission-rates-improves-sonar-performance-by-flying-bats
#20
Amanda M Adams, Kaylee Davis, Michael Smotherman
Echolocating bats face the challenge of actively sensing their environment through their own emissions, while also hearing calls and echoes of nearby conspecifics. How bats mitigate interference is a long-standing question that has both ecological and technological implications, as biosonar systems continue to outperform man-made sonar systems in noisy, cluttered environments. We recently showed that perched bats decreased calling rates in groups, displaying a behavioral strategy resembling the back-off algorithms used in artificial communication networks to optimize information throughput at the group level...
January 31, 2017: Scientific Reports
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