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https://www.readbyqxmd.com/read/28239452/intervening-with-healthcare-workers-hand-hygiene-compliance-knowledge-and-perception-in-a-limited-resource-hospital-in-indonesia-a-randomized-controlled-trial-study
#1
Dewi Santosaningsih, Dewi Erikawati, Sanarto Santoso, Noorhamdani Noorhamdani, Irene Ratridewi, Didi Candradikusuma, Iin N Chozin, Thomas E C J Huwae, Gwen van der Donk, Eva van Boven, Anne F Voor In 't Holt, Henri A Verbrugh, Juliëtte A Severin
BACKGROUND: Hand hygiene is recognized as an important measure to prevent healthcare-associated infections. Hand hygiene adherence among healthcare workers is associated with their knowledge and perception. This study aimed to evaluate the effect of three different educational programs on improving hand hygiene compliance, knowledge, and perception among healthcare workers in a tertiary care hospital in Indonesia. METHODS: The study was performed from May to October 2014 and divided into a pre-intervention, intervention, and post-intervention phase...
2017: Antimicrobial Resistance and Infection Control
https://www.readbyqxmd.com/read/28239356/sex-and-exercise-intensity-do-not-influence-oxygen-uptake-kinetics-in-submaximal-swimming
#2
Joana F Reis, Gregoire P Millet, Paula M Bruno, Veronica Vleck, Francisco B Alves
The aim of this study was to compare the oxygen uptake ([Formula: see text]) kinetics in front crawl between male and female swimmers at moderate and heavy intensity. We hypothesized that the time constant for the primary phase [Formula: see text] kinetics was faster in men than in women, for both intensities. Nineteen well trained swimmers (8 females mean ± SD; age 17.9 ± 3.5 years; mass 55.2 ± 3.6 kg; height 1.66 ± 0.05 m and 11 male 21.9 ± 2.8 years; 78.2 ± 11.1 kg; 1.81 ± 0.08 m) performed a discontinuous maximal incremental test and two 600-m square wave transitions for both moderate and heavy intensities to determine the [Formula: see text] kinetics parameters using mono- and bi-exponential models, respectively...
2017: Frontiers in Physiology
https://www.readbyqxmd.com/read/28238964/pullout-strength-of-a-novel-hybrid-fixation-technique-tape-locking-screw-%C3%A2-in-soft-tissue-acl-reconstruction-a-biomechanical-study-in-human-and-porcine-bone
#3
Mark Ayzenberg, Dillon Arango, Grigory E Gershkovich, Praveen S Samuel, Minn Saing
INTRODUCTION: A novel hybrid anterior cruciate ligament(ACL) reconstruction technique known as Tape Locking Screw™ (TLS)is gaining popularity. Utilizing a suspension-type construct in conjunction with an interference screw,thistechnique has demonstrated successful initial clinical results with the use of quadruple hamstring graft. However, there is currently limited data available on the biomechanical strength of this fixation. This study investigates the pullout strength of theconstructin human distal femora as well as in a porcine model...
February 23, 2017: Orthopaedics & Traumatology, Surgery & Research: OTSR
https://www.readbyqxmd.com/read/28238947/identification-of-novel-mrp3-inhibitors-based-on-computational-models-and-validation-using-an-in-vitro-membrane-vesicle-assay
#4
Izna Ali, Matthew A Welch, Yang Lu, Peter W Swaan, Kim L R Brouwer
INTRODUCTION: Multidrug resistance-associated protein 3 (MRP3), an efflux transporter on the hepatic basolateral membrane, may function as a compensatory mechanism to prevent the accumulation of anionic substrates (e.g., bile acids) in hepatocytes. Inhibition of MRP3 may disrupt bile acid homeostasis and is one hypothesized risk factor for the development of drug-induced liver injury (DILI). Therefore, identifying potential MRP3 inhibitors could help mitigate the occurrence of DILI. METHODS: Bayesian models were developed using MRP3 transporter inhibition data for 86 structurally diverse drugs...
February 23, 2017: European Journal of Pharmaceutical Sciences
https://www.readbyqxmd.com/read/28238775/assessing-the-brain-through-the-eye-new-ways-to-explore-hepatic-encephalopathy
#5
Natalia Arias, Marta Méndez, Ignacio Alcalde, Almudena Íñigo-Portugués, Jesús Merayo-Lloves, Jaime Arias, Jorge L Arias
BACKGROUND & AIMS: Minimal hepatic encephalopathy (mHE) has been shown to affect daily functioning, quality of life, driving and overall mortality. However, little is known about treating or diagnosing early impairments in mHE. We studied one of its precipitating factors, portal hypertension which is driving the inflammatory process behind mHE. The purpose was to describe an indirect diagnostic method able to detect the pathology at early stages based on the study of the vascularization and mast cells conjunctival hyperplasia as secondary inflammatory response associated to portal hypertension...
February 23, 2017: Physiology & Behavior
https://www.readbyqxmd.com/read/28237925/hep-2-specimen-image-segmentation-and-classification-using-very-deep-fully-convolutional-network
#6
Yuexiang Li, Linlin Shen, Shiqi Yu
Reliable identification of Human Epithelial-2 (HEp-2) cell patterns can facilitate the diagnosis of systemic autoimmune diseases. However, traditional approach requires experienced experts to manually recognize the cell patterns, which suffers from the inter-observer variability. In this paper, an automatic pattern recognition system using fully convolutional network (FCN) was proposed to simultaneously address the segmentation and classification problem of HEp-2 specimen images. The proposed system transforms the residual network (ResNet) to fully convolutional residual network (FCRN) enabling the network to perform semantic segmentation task...
February 22, 2017: IEEE Transactions on Medical Imaging
https://www.readbyqxmd.com/read/28237400/individualized-early-death-and-long-term-survival-prediction-after-stereotactic-radiosurgery-for-brain-metastases-of-non-small-cell-lung-cancer-two-externally-validated-nomograms
#7
Jaap D Zindler, Arthur Jochems, Frank J Lagerwaard, Rosemarijne Beumer, Esther G C Troost, Daniëlle B P Eekers, Inge Compter, Peter-Paul van der Toorn, Marion Essers, Bing Oei, Coen W Hurkmans, Anna M E Bruynzeel, Geert Bosmans, Ans Swinnen, Ralph T H Leijenaar, Philippe Lambin
INTRODUCTION: Commonly used clinical models for survival prediction after stereotactic radiosurgery (SRS) for brain metastases (BMs) are limited by the lack of individual risk scores and disproportionate prognostic groups. In this study, two nomograms were developed to overcome these limitations. METHODS: 495 patients with BMs of NSCLC treated with SRS for a limited number of BMs in four Dutch radiation oncology centers were identified and divided in a training cohort (n=214, patients treated in one hospital) and an external validation cohort n=281, patients treated in three other hospitals)...
February 23, 2017: Radiotherapy and Oncology: Journal of the European Society for Therapeutic Radiology and Oncology
https://www.readbyqxmd.com/read/28236678/a-perturbative-approach-for-enhancing-the-performance-of-time-series-forecasting
#8
Paulo S G de Mattos Neto, Tiago A E Ferreira, Aranildo R Lima, Germano C Vasconcelos, George D C Cavalcanti
This paper proposes a method to perform time series prediction based on perturbation theory. The approach is based on continuously adjusting an initial forecasting model to asymptotically approximate a desired time series model. First, a predictive model generates an initial forecasting for a time series. Second, a residual time series is calculated as the difference between the original time series and the initial forecasting. If that residual series is not white noise, then it can be used to improve the accuracy of the initial model and a new predictive model is adjusted using residual series...
February 10, 2017: Neural Networks: the Official Journal of the International Neural Network Society
https://www.readbyqxmd.com/read/28236608/normal-weight-but-low-muscle-mass-and-abdominally-obese-implications-for-the-cardiometabolic-risk-profile-in-chronic-obstructive-pulmonary-disease
#9
Rosanne J H C G Beijers, Coby van de Bool, Bram van den Borst, Frits M E Franssen, Emiel F M Wouters, Annemie M W J Schols
BACKGROUND: It is well established that low muscle mass affects physical performance in chronic obstructive pulmonary disease (COPD). We hypothesize that combined low muscle mass and abdominal obesity may also adversely influence the cardiometabolic risk profile in COPD, even in those with normal weight. The cardiometabolic risk profile and the responsiveness to 4 months high-intensity exercise training was assessed in normal-weight patients with COPD with low muscle mass stratified by abdominal obesity...
February 21, 2017: Journal of the American Medical Directors Association
https://www.readbyqxmd.com/read/28236299/development-of-the-platelet-efficacy-score-pescore-to-predict-the-efficacy-of-platelet-transfusion-in-oncohematologic-patients
#10
Anna Quaglietta, Maura Di Saverio, Giuseppe Lucisano, Patrizia Accorsi, Antonio Nicolucci
BACKGROUND: Despite the prophylactic use of platelet transfusion, hemorrhagic complications still represent an important cause of morbidity and mortality in patients with hematologic malignancies. Patient-related factors and characteristics of the transfused product can affect transfusion efficacy. STUDY DESIGN AND METHODS: The aim of this study was to develop and validate the Platelet Efficacy Score (PEscore), based on patient and product characteristics, to predict the likelihood of a satisfactory platelet transfusion (absolute increment ≥10...
February 24, 2017: Transfusion
https://www.readbyqxmd.com/read/28235391/sar-and-qsar-study-on-the-bioactivities-of-human-epidermal-growth-factor-receptor-2-her2-inhibitors
#11
D Qu, A Yan, J S Zhang
In this paper, structure-activity relationship (SAR, classification) and quantitative structure-activity relationship (QSAR) models have been established to predict the bioactivity of human epidermal growth factor receptor-2 (HER2) inhibitors. For the SAR study, we established six SAR (or classification) models to distinguish highly and weakly active HER2 inhibitors. The dataset contained 868 HER2 inhibitors, which was split into a training set including 580 inhibitors and a test set including 288 inhibitors by a Kohonen's self-organizing map (SOM), or a random method...
February 2017: SAR and QSAR in Environmental Research
https://www.readbyqxmd.com/read/28231045/original-research-paper-public-health-care-system-a-quasi-experimental-study-acceptance-and-attitude-to-implicate-clinical-services
#12
Syed Wasif Gillani, Mohi Iqbal Mohammad Abdul
A six-month longitudinal intervention arm study with a pre-post cross-sectional questionnaire-based survey was performed. A 3-phase objective structured clinical examination (OSCE) design was utilized for evaluation of acceptance and attitude of pharmacy students towards clinical pharmacy services. The pre-OSCE survey showed increased disagreement with the role of clinical pharmacists, compared to a significant positive shift in attitude towards their services in the healthcare team after 6 months of the trial...
March 1, 2017: Acta Pharmaceutica
https://www.readbyqxmd.com/read/28230530/developing-a-multi-component-immune-model-for-evaluating-the-risk-of-respiratory-illness-in-athletes
#13
Maree Gleeson, David B Pyne, Lisa J Elkington, Sharron T Hall, John R Attia, Christopher Oldmeadow, Lisa G Wood, Robin Callister
Clinical and laboratory identification of the underlying risk of respiratory illness in athletes has proved problematic. The aim of this study was to determine whether clinical data, combined with immune responses to standardised exercise protocols and genetic cytokine polymorphism status, could identify the risk of respiratory illness (symptoms) in a cohort of highly-trained athletes. Male endurance athletes (n=16; VO2max 66.5 ± 5.1 mL.kg-1.min-1) underwent a clinical evaluation of known risk factors by a physician and comprehensive laboratory analysis of immune responses both at rest and after two cycling ergometer tests: 60 min at 65% VO2max (LONG); and 6 x 3 min intervals at 90% VO2max (INTENSE)...
2017: Exercise Immunology Review
https://www.readbyqxmd.com/read/28230528/biologically-plausible-learning-in-recurrent-neural-networks-reproduces-neural-dynamics-observed-during-cognitive-tasks
#14
Thomas Miconi
Neural activity during cognitive tasks exhibits complex dynamics that flexibly encode task-relevant variables. Chaotic recurrent networks, which spontaneously generate rich dynamics, have been proposed as a model of cortical computation during cognitive tasks. However, existing methods for training these networks are either biologically implausible, and/or require a continuous, real-time error signal to guide learning. Here we show that a biologically plausible learning rule can train such recurrent networks, guided solely by delayed, phasic rewards at the end of each trial...
February 23, 2017: ELife
https://www.readbyqxmd.com/read/28230161/robust-high-dimensional-bioinformatics-data-streams-mining-by-odr-iovfdt
#15
Dantong Wang, Simon Fong, Raymond K Wong, Sabah Mohammed, Jinan Fiaidhi, Kelvin K L Wong
Outlier detection in bioinformatics data streaming mining has received significant attention by research communities in recent years. The problems of how to distinguish noise from an exception and deciding whether to discard it or to devise an extra decision path for accommodating it are causing dilemma. In this paper, we propose a novel algorithm called ODR with incrementally Optimized Very Fast Decision Tree (ODR-ioVFDT) for taking care of outliers in the progress of continuous data learning. By using an adaptive interquartile-range based identification method, a tolerance threshold is set...
February 23, 2017: Scientific Reports
https://www.readbyqxmd.com/read/28227877/a-wearable-computing-platform-for-developing-cloud-based-machine-learning-models-for-health-monitoring-applications
#16
Shyamal Patel, Ryan S McGinnis, Ikaro Silva, Steve DiCristofaro, Nikhil Mahadevan, Elise Jortberg, Jaime Franco, Albert Martin, Joseph Lust, Milan Raj, Bryan McGrane, Paolo DePetrillo, A J Aranyosi, Melissa Ceruolo, Jesus Pindado, Roozbeh Ghaffari, Shyamal Patel, Ryan S McGinnis, Ikaro Silva, Steve DiCristofaro, Nikhil Mahadevan, Elise Jortberg, Jaime Franco, Albert Martin, Joseph Lust, Milan Raj, Bryan McGrane, Paolo DePetrillo, A J Aranyosi, Melissa Ceruolo, Jesus Pindado, Roozbeh Ghaffari
Wearable sensors have the potential to enable clinical-grade ambulatory health monitoring outside the clinic. Technological advances have enabled development of devices that can measure vital signs with great precision and significant progress has been made towards extracting clinically meaningful information from these devices in research studies. However, translating measurement accuracies achieved in the controlled settings such as the lab and clinic to unconstrained environments such as the home remains a challenge...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227617/detection-of-chewing-from-piezoelectric-film-sensor-signals-using-ensemble-classifiers
#17
Muhammad Farooq, Edward Sazonov, Muhammad Farooq, Edward Sazonov, Muhammad Farooq, Edward Sazonov
Selection and use of pattern recognition algorithms is application dependent. In this work, we explored the use of several ensembles of weak classifiers to classify signals captured from a wearable sensor system to detect food intake based on chewing. Three sensor signals (Piezoelectric sensor, accelerometer, and hand to mouth gesture) were collected from 12 subjects in free-living conditions for 24 hrs. Sensor signals were divided into 10 seconds epochs and for each epoch combination of time and frequency domain features were computed...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227387/detecting-cell-division-of-pseudomonas-aeruginosa-bacteria-from-bright-field-microscopy-images-with-hidden-conditional-random-fields
#18
Lee-Ling S Ong, Xinghua Zhang, Binu Kundukad, Justin Dauwels, Patrick Doyle, H Harry Asada, Lee-Ling S Ong, Xinghua Zhang, Binu Kundukad, Justin Dauwels, Patrick Doyle, H Harry Asada, Binu Kundukad, Lee-Ling S Ong, Xinghua Zhang, Justin Dauwels, Patrick Doyle, H Harry Asada
An approach to automatically detect bacteria division with temporal models is presented. To understand how bacteria migrate and proliferate to form complex multicellular behaviours such as biofilms, it is desirable to track individual bacteria and detect cell division events. Unlike eukaryotic cells, prokaryotic cells such as bacteria lack distinctive features, causing bacteria division difficult to detect in a single image frame. Furthermore, bacteria may detach, migrate close to other bacteria and may orientate themselves at an angle to the horizontal plane...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227214/activity-recognition-in-patients-with-lower-limb-impairments-do-we-need-training-data-from-each-patient
#19
Luca Lonini, Aakash Gupta, Konrad Kording, Arun Jayaraman, Luca Lonini, Aakash Gupta, Konrad Kording, Arun Jayaraman, Luca Lonini, Konrad Kording, Arun Jayaraman, Aakash Gupta
Machine learning allows detecting specific physical activities using data from wearable sensors. Such a quantification of patient mobility over time promises to accurately inform clinical decisions for physical rehabilitation. There are two strategies of setting up the machine learning problem: detect one patient's activities using data from the same patient (personal model) or detect their activities using data from other patients (global model), and we currently do not know if personal models are necessary...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227197/identifying-individual-sleep-apnea-hypoapnea-epochs-using-smartphone-based-pulse-oximetry
#20
Ainara Garde, Parastoo Dekhordi, J Mark Ansermino, Guy A Dumont, Ainara Garde, Parastoo Dekhordi, J Mark Ansermino, Guy A Dumont, J Mark Ansermino, Parastoo Dekhordi, Guy A Dumont, Ainara Garde
Sleep apnea, characterized by frequent pauses in breathing during sleep, poses a serious threat to the healthy growth and development of children. Polysomnography (PSG), the gold standard for sleep apnea diagnosis, is resource intensive and confined to sleep laboratories, thus reducing its accessibility. Pulse oximetry alone, providing blood oxygen saturation (SpO2) and blood volume changes in tissue (PPG), has the potential to identify children with sleep apnea. Thus, we aim to develop a tool for at-home sleep apnea screening that provides a detailed and automated 30 sec epoch-by-epoch sleep apnea analysis...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
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