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https://www.readbyqxmd.com/read/29149819/cardiovascular-risk-in-psoriasis-current-state-of-the-art
#1
Giuseppe Dattilo
Psoriasis (Pso) is a chronic inflammatory immune-mediated skin disease associated with several comorbidities. Despite the growing number of studies providing evidence for the link between Pso and cardiovascular (CV) disorders, there are still many unsolved questions, dealing with the role of the skin disease as an independent risk factor for CV events, the influence of Pso severity and duration on CV damage, the presence of psoriatic arthritis (PsA) as a predictor of increased CV mortality and morbidity and the detection of reliable clinical, laboratory and/or instrumental parameters to stratify CV risk in psoriatic patients...
November 16, 2017: Current Vascular Pharmacology
https://www.readbyqxmd.com/read/29145086/active-learning-for-classifying-data-streams-with-unknown-number-of-classes
#2
Saad Mohamad, Moamar Sayed-Mouchaweh, Abdelhamid Bouchachia
The classification of data streams is an interesting but also a challenging problem. A data stream may grow infinitely making it impractical for storage prior to processing and classification. Due to its dynamic nature, the underlying distribution of the data stream may change over time resulting in the so-called concept drift or the possible emergence and fading of classes, known as concept evolution. In addition, acquiring labels of data samples in a stream is admittedly expensive if not infeasible at all...
October 27, 2017: Neural Networks: the Official Journal of the International Neural Network Society
https://www.readbyqxmd.com/read/29143888/-the-art-of-insulin-treatment-diabetes-insulin-and-the-1920s
#3
Kirsten E Gardner
Soon after the discovery of insulin in the early 1920s, the popular press celebrated the miraculous discovery. Although insulin had no curative effect on the chronic state of diabetes, it was frequently heralded as a "cure." This paper examines how the discovery of insulin intersected with the rise of diabetic technology and the transfer of medical technology to the home setting. By analyzing diabetic manuals written for patients and physicians, letters exchanged between patient and physician, medical journals, magazines and newspapers, I trace how patients learned about insulin and more significantly how patients adopted measurement technologies designed to allow better home administration of insulin...
November 16, 2017: Journal of Medical Humanities
https://www.readbyqxmd.com/read/29143795/deep-see-joint-object-detection-tracking-and-recognition-with-application-to-visually-impaired-navigational-assistance
#4
Ruxandra Tapu, Bogdan Mocanu, Titus Zaharia
In this paper, we introduce the so-called DEEP-SEE framework that jointly exploits computer vision algorithms and deep convolutional neural networks (CNNs) to detect, track and recognize in real time objects encountered during navigation in the outdoor environment. A first feature concerns an object detection technique designed to localize both static and dynamic objects without any a priori knowledge about their position, type or shape. The methodological core of the proposed approach relies on a novel object tracking method based on two convolutional neural networks trained offline...
October 28, 2017: Sensors
https://www.readbyqxmd.com/read/29143199/cone-beam-ct-in-paediatric-dentistry-dimitra-project-position-statement
#5
REVIEW
Anne Caroline Oenning, Reinhilde Jacobs, Ruben Pauwels, Andreas Stratis, Mihaela Hedesiu, Benjamin Salmon
DIMITRA (dentomaxillofacial paediatric imaging: an investigation towards low-dose radiation induced risks) is a European multicenter and multidisciplinary project focused on optimizing cone-beam CT exposures for children and adolescents. With increasing use of cone-beam CT for dentomaxillofacial diagnostics, concern arises regarding radiation risks associated with this imaging modality, especially for children. Research evidence concerning cone-beam CT indications in children remains limited, while reports mention inconsistent recommendations for dose reduction...
November 15, 2017: Pediatric Radiology
https://www.readbyqxmd.com/read/29137838/fusion-of-fmri-and-non-imaging-data-for-adhd-classification
#6
Atif Riaz, Muhammad Asad, Eduardo Alonso, Greg Slabaugh
Resting state fMRI has emerged as a popular neuroimaging method for automated recognition and classification of different brain disorders. Attention Deficit Hyperactivity Disorder (ADHD) is one of the most common brain disorders affecting young children, yet its underlying mechanism is not completely understood and its diagnosis is mainly dependent on behavior analysis. This paper addresses the problem of classification of ADHD based on resting state fMRI and proposes a machine learning framework with integration of non-imaging data with imaging data to investigate functional connectivity alterations between ADHD and control subjects (not diagnosed with ADHD)...
October 19, 2017: Computerized Medical Imaging and Graphics: the Official Journal of the Computerized Medical Imaging Society
https://www.readbyqxmd.com/read/29137174/hdomo-smart-sensor-integration-for-an-active-and-independent-longevity-of-the-elderly
#7
Emanuele Frontoni, Rama Pollini, Paola Russo, Primo Zingaretti, Graziano Cerri
The aim of this paper is to present the main results of HDOMO, an Ambient Assisted Living (AAL) project that involved 16 Small and Medium Enterprises (SMEs) and 2 research institutes. The objective of the project was to create an autonomous and automated domestic environment, primarily for elderly people and people with physical and motor disabilities. A known and familiar environment should help users in their daily activities and it should act as a virtual caregiver by calling, if necessary, relief efforts...
November 13, 2017: Sensors
https://www.readbyqxmd.com/read/29136610/explicit-ringing-removal-in-image-deblurring
#8
Ali Mosleh, Yasser Elmi Sola, Farzad Zargari, Emmanuel Onzon, J M Pierre Langlois
In this paper, we present a simple yet effective image deblurring method to produce ringing-free deblurred images. Our work is inspired by the observation that large-scale deblurring ringing artifacts are measurable through a multi-resolution pyramid of low-pass filtering of the blurred-deblurred image pair. We propose to model such a quantification as a convex cost function and minimize it directly in the deblurring process in order to reduce ringing regardless of its cause. An efficient primal-dual algorithm is proposed as a solution to this optimization problem...
February 2018: IEEE Transactions on Image Processing: a Publication of the IEEE Signal Processing Society
https://www.readbyqxmd.com/read/29135966/monocular-visual-inertial-slam-continuous-preintegration-and-reliable-initialization
#9
Yi Liu, Zhong Chen, Wenjuan Zheng, Hao Wang, Jianguo Liu
In this paper, we propose a new visual-inertial Simultaneous Localization and Mapping (SLAM) algorithm. With the tightly coupled sensor fusion of a global shutter monocular camera and a low-cost Inertial Measurement Unit (IMU), this algorithm is able to achieve robust and real-time estimates of the sensor poses in unknown environment. To address the real-time visual-inertial fusion problem, we present a parallel framework with a novel IMU initialization method. Our algorithm also benefits from the novel IMU factor, the continuous preintegration method, the vision factor of directional error, the separability trick and the robust initialization criterion which can efficiently output reliable estimates in real-time on modern Central Processing Unit (CPU)...
November 14, 2017: Sensors
https://www.readbyqxmd.com/read/29125584/review-of-recent-inkjet-printed-capacitive-tactile-sensors
#10
REVIEW
Ahmed Salim, Sungjoon Lim
Inkjet printing is an advanced printing technology that has been used to develop conducting layers, interconnects and other features on a variety of substrates. It is an additive manufacturing process that offers cost-effective, lightweight designs and simplifies the fabrication process with little effort. There is hardly sufficient research on tactile sensors and inkjet printing. Advancements in materials science and inkjet printing greatly facilitate the realization of sophisticated tactile sensors. Starting from the concept of capacitive sensing, a brief comparison of printing techniques, the essential requirements of inkjet-printing and the attractive features of state-of-the art inkjet-printed tactile sensors developed on diverse substrates (paper, polymer, glass and textile) are presented in this comprehensive review...
November 10, 2017: Sensors
https://www.readbyqxmd.com/read/29123330/markov-logic-networks-for-adverse-drug-event-extraction-from-text
#11
Sriraam Natarajan, Vishal Bangera, Tushar Khot, Jose Picado, Anurag Wazalwar, Vitor Santos Costa, David Page, Michael Caldwell
Adverse drug events (ADEs) are a major concern and point of emphasis for the medical profession, government, and society. A diverse set of techniques from epidemiology, statistics, and computer science are being proposed and studied for ADE discovery from observational health data (e.g., EHR and claims data), social network data (e.g., Google and Twitter posts), and other information sources. Methodologies are needed for evaluating, quantitatively measuring, and comparing the ability of these various approaches to accurately discover ADEs...
May 2017: Knowledge and Information Systems
https://www.readbyqxmd.com/read/29121603/assessment-of-light-extinction-at-a-european-polluted-urban-area-during-wintertime-impact-of-pm1-composition-and-sources
#12
R Vecchi, V Bernardoni, S Valentini, A Piazzalunga, P Fermo, G Valli
In this paper, results from receptor modelling performed on a well-characterised PM1 dataset were combined to chemical light extinction data (bext) with the aim of assessing the impact of different PM1 components and sources on light extinction and visibility at a European polluted urban area. It is noteworthy that, at the state of the art, there are still very few papers estimating the impact of different emission sources on light extinction as we present here, although being among the major environmental challenges at many polluted areas...
November 6, 2017: Environmental Pollution
https://www.readbyqxmd.com/read/29121055/video-summarization-using-line-segments-angles-and-conic-parts
#13
Md Musfequs Salehin, Manoranjan Paul, Muhammad Ashad Kabir
Video summarization is a process to extract objects and their activities from a video and represent them in a condensed form. Existing methods for video summarization fail to detect moving (dynamic) objects in the low color contrast area of a video frame due to the pixel intensities of objects and non-objects are almost similar. However, edges of objects are prominent in the low contrast regions. Moreover, to represent objects, geometric primitives (such as lines, arcs) are distinguishable and high level shape descriptors than edges...
2017: PloS One
https://www.readbyqxmd.com/read/29120373/recent-progress-and-required-developments-in-atmospheric-corrosion-of-galvanised-steel-and-zinc
#14
REVIEW
Ivan S Cole
This paper reviews the progress in atmospheric corrosion of zinc since 2009. It firstly summarises the state of the art in 2009, then outlines progress since 2009, and then looks at the significance of this progress and the areas the need more research. Within this framework, it looks at climate effects, oxide formation, oxide properties, pitting, laboratory duplication of atmospheric corrosion, and modelling. The major findings are that there have been major advances in the fields understanding of the structure of corrosion patina, in particular their layered structure and the presence of compact layers, local corrosion attacks have been found to be a significant process in atmospheric corrosion and experiments under droplets are leading to new understanding of the criticality of drop size in regulating atmospheric corrosion processes...
November 9, 2017: Materials
https://www.readbyqxmd.com/read/29118963/leveraging-multiactions-to-improve-medical-personalized-ranking-for-collaborative-filtering
#15
Shan Gao, Guibing Guo, Runzhi Li, Zongmin Wang
Nowadays, providing high-quality recommendation services to users is an essential component in web applications, including shopping, making friends, and healthcare. This can be regarded either as a problem of estimating users' preference by exploiting explicit feedbacks (numerical ratings), or as a problem of collaborative ranking with implicit feedback (e.g., purchases, views, and clicks). Previous works for solving this issue include pointwise regression methods and pairwise ranking methods. The emerging healthcare websites and online medical databases impose a new challenge for medical service recommendation...
2017: Journal of Healthcare Engineering
https://www.readbyqxmd.com/read/29118821/tasselnet-counting-maize-tassels-in-the-wild-via-local-counts-regression-network
#16
Hao Lu, Zhiguo Cao, Yang Xiao, Bohan Zhuang, Chunhua Shen
Background: Accurately counting maize tassels is important for monitoring the growth status of maize plants. This tedious task, however, is still mainly done by manual efforts. In the context of modern plant phenotyping, automating this task is required to meet the need of large-scale analysis of genotype and phenotype. In recent years, computer vision technologies have experienced a significant breakthrough due to the emergence of large-scale datasets and increased computational resources...
2017: Plant Methods
https://www.readbyqxmd.com/read/29118809/nonintrusive-load-monitoring-based-on-advanced-deep-learning-and-novel-signature
#17
Jihyun Kim, Thi-Thu-Huong Le, Howon Kim
Monitoring electricity consumption in the home is an important way to help reduce energy usage. Nonintrusive Load Monitoring (NILM) is existing technique which helps us monitor electricity consumption effectively and costly. NILM is a promising approach to obtain estimates of the electrical power consumption of individual appliances from aggregate measurements of voltage and/or current in the distribution system. Among the previous studies, Hidden Markov Model (HMM) based models have been studied very much...
2017: Computational Intelligence and Neuroscience
https://www.readbyqxmd.com/read/29117143/a-smartphone-step-counter-using-imu-and-magnetometer-for-navigation-and-health-monitoring-applications
#18
Maan Khedr, Nasser El-Sheimy
The growing market of smart devices make them appealing for various applications. Motion tracking can be achieved using such devices, and is important for various applications such as navigation, search and rescue, health monitoring, and quality of life-style assessment. Step detection is a crucial task that affects the accuracy and quality of such applications. In this paper, a new step detection technique is proposed, which can be used for step counting and activity monitoring for health applications as well as part of a Pedestrian Dead Reckoning (PDR) system...
November 8, 2017: Sensors
https://www.readbyqxmd.com/read/29115179/global-perspectives-on-dementia-and-art-an-international-discussion-about-changing-public-health-policy
#19
Peter J Whitehouse, Trish Vella Burrows, Duncan Stephenson
In an era of global environmental deterioration and income inequity, public health faces many challenges, including the growing number of individuals, especially older people, with chronic diseases. Dementia is increasingly being seen not just as a biomedical problem to solve but as a public and community challenge to address more broadly. Concepts like prevention, brain health, and quality of life/well-being are receiving more attention. The engagement of community in addressing these challenges is being seen as critical to successful social adaptation...
January 1, 2017: Dementia
https://www.readbyqxmd.com/read/29115135/scalable-self-supported-graphene-foam-for-high-performance-electrocatalytic-oxygen-evolution
#20
Yun-Pei Zhu, Jingrun Ran, Shi-Zhang Qiao
Developing efficient electrocatalysts consisting of earth-abundant elements for oxygen evolution reaction (OER) is crucial for energy devices and technologies. Herein, we report self-supported highly porous nitrogen-doped graphene foam synthesized through the electrochemical expansion of carbon-fiber paper and subsequent nitrogen plasma treatment. A thorough characterization, such as electron microscopy and synchrotron-based near-edge X-ray absorption fine structure, indicates the well-developed porous structures featuring homogeneously doped nitrogen heteroatoms...
November 17, 2017: ACS Applied Materials & Interfaces
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