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https://www.readbyqxmd.com/read/29346184/synergistic-impact-of-training-followed-by-on-site-support-on-hiv-clinical-practice-a-mixed-design-study-in-uganda-with-pre-post-and-cluster-randomized-trial-components
#1
Sarah Burnett, Norbert Mubiru, Peace Imani, Martin K Mbonye, Leigh Fisher, Robert Colebunders, Yukari C Manabe, Marcia R Weaver
BACKGROUND: Task-shifting can expand antiretroviral therapy access, but little is known about effective approaches to improve clinical practice among mid-level practitioners' (MLP) such as clinical officers, nurses, and midwives. The Integrated Infectious Diseases Capacity-Building Evaluation compared training alone to training combined with on-site support (OSS). METHODS: Two MLP each from 36 health facilities attended the five-week Integrated Management of Infectious Disease training...
January 16, 2018: Journal of Acquired Immune Deficiency Syndromes: JAIDS
https://www.readbyqxmd.com/read/29340782/strigeid-parasites-of-circus-buffoni-from-argentina-with-the-description-of-a-new-species-of-parastrigea-szidat-1928
#2
Fabiana B Drago, Verónica Núñez, Lía I Lunaschi
Studying the Helminthological Collection of Museo de La Plata (MLP-He), several specimens of digeneans, recovered parasitizing a long-winged harrier, Circus buffoni (Accipitridae) from Buenos Aires Argentina, were analysed. The morphological and morphometric analysis of these specimens revealed the presence of two strigeid species, one of them new for science. Parastrigea buffoni n. sp. is characterised by a forebody differentiated in a retractile cephalic region with a large opening and a balloon-shaped collar region or collerette, suckers located in cephalic region, holdfast organ with well development dorsal and ventral lips that can emerge through opening, a claviform hindbody, a large copulatory bursa with muscular ring (Ringnapf) and a genital cone well delimited, crossed by a sinuous hermaphroditic duct with internal rugae...
January 16, 2018: Parasitology Research
https://www.readbyqxmd.com/read/29316723/gas-classification-using-deep-convolutional-neural-networks
#3
Pai Peng, Xiaojin Zhao, Xiaofang Pan, Wenbin Ye
In this work, we propose a novel Deep Convolutional Neural Network (DCNN) tailored for gas classification. Inspired by the great success of DCNN in the field of computer vision, we designed a DCNN with up to 38 layers. In general, the proposed gas neural network, named GasNet, consists of: six convolutional blocks, each block consist of six layers; a pooling layer; and a fully-connected layer. Together, these various layers make up a powerful deep model for gas classification. Experimental results show that the proposed DCNN method is an effective technique for classifying electronic nose data...
January 8, 2018: Sensors
https://www.readbyqxmd.com/read/29306807/assessing-the-impact-of-pm2-5-on-respiratory-disease-using-artificial-neural-networks
#4
Gabriela Polezer, Yara S Tadano, Hugo V Siqueira, Ana F L Godoi, Carlos I Yamamoto, Paulo A de André, Theotonio Pauliquevis, Maria de Fatima Andrade, Andrea Oliveira, Paulo H N Saldiva, Philip E Taylor, Ricardo H M Godoi
Understanding the impact on human health during peak episodes in air pollution is invaluable for policymakers. Particles less than PM2.5 can penetrate the respiratory system, causing cardiopulmonary and other systemic diseases. Statistical regression models are usually used to assess air pollution impacts on human health. However, when there are databases missing, linear statistical regression may not process well and alternative data processing should be considered. Nonlinear Artificial Neural Networks (ANN) are not employed to research environmental health pollution even though another advantage in using ANN is that the output data can be expressed as the number of hospital admissions...
January 4, 2018: Environmental Pollution
https://www.readbyqxmd.com/read/29306539/random-ensemble-learning-for-eeg-classification
#5
Mohammad-Parsa Hosseini, Dario Pompili, Kost Elisevich, Hamid Soltanian-Zadeh
Real-time detection of seizure activity in epilepsy patients is critical in averting seizure activity and improving patients' quality of life. Accurate evaluation, presurgical assessment, seizure prevention, and emergency alerts all depend on the rapid detection of seizure onset. A new method of feature selection and classification for rapid and precise seizure detection is discussed wherein informative components of electroencephalogram (EEG)-derived data are extracted and an automatic method is presented using infinite independent component analysis (I-ICA) to select independent features...
January 3, 2018: Artificial Intelligence in Medicine
https://www.readbyqxmd.com/read/29300432/falls-risk-prediction-for-older-inpatients-in-acute-care-medical-wards-is-there-an-interest-to-combine-an-early-nurse-assessment-and-the-artificial-neural-network-analysis
#6
O Beauchet, F Noublanche, R Simon, H Sekhon, J Chabot, E J Levinoff, A Kabeshova, C P Launay
BACKGROUND: Identification of the risk of falls is important among older inpatients. This study aims to examine performance criteria (i.e.; sensitivity, specificity, positive predictive value, negative predictive value and accuracy) for fall prediction resulting from a nurse assessment and an artificial neural networks (ANNs) analysis in older inpatients hospitalized in acute care medical wards. METHODS: A total of 848 older inpatients (mean age, 83.0±7.2 years; 41...
2018: Journal of Nutrition, Health & Aging
https://www.readbyqxmd.com/read/29299201/acute-sleep-deprivation-preconditions-the-heart-against-ischemia-reperfusion-injury-the-role-of-central-gaba-a-receptors
#7
Hoda Parsa, Alireza Imani, Mahdieh Faghihi, Esmail Riahi, Mohammad Badavi, Abbas Shakoori, Tayebeh Rastegar, Marjan Aghajani, Sulail Fatima Rajani
Objectives: Central γ-aminobutyric acid (GABA) neurotransmission modulates cardiovascular functions and sleep. Acute sleep deprivation (ASD) affects functions of various body organs via different mechanisms. Here, we evaluated the effect of ASD on cardiac ischemia/reperfusion injury (IRI), and studied the role of GABA-A receptor inhibition in central nucleus of amygdala (CeA) by assessing nitric oxide (NO) and oxidative stress. Materials and Methods: The CeA in sixty male Wistar rats was cannulated for saline or bicuculline (GABA-A receptor antagonist) administration...
November 2017: Iranian Journal of Basic Medical Sciences
https://www.readbyqxmd.com/read/29279441/data-mining-machine-learning-algorithms-using-il28b-genotype-and-biochemical-markers-best-predicted-advanced-liver-fibrosis-in-chronic-hcv
#8
Hend Ibrahim Shousha, Abubakr Hussein Awad, Dalia Abdelhamid Omran, Mayada Mohamed Elnegouly, Mahasen Mabrouk
  IL28 single nucleotide polymorphism (rs12979860) is an aetiology-independent predictor of hepatitis C virus (HCV) related hepatic fibrosis. Data mining is a method of predictive analysis which can explore tremendous volumes of information found in health records to discover hidden patterns and relationships. The study aims to evaluate and compare the prediction accuracy of APRI, FIB-4 versus data mining for prediction of HCV related advanced fibrosis. This retrospective study included 427 patients with chronic HCV...
December 26, 2017: Japanese Journal of Infectious Diseases
https://www.readbyqxmd.com/read/29238903/a-time-local-subset-feature-selection-for-prediction-of-sudden-cardiac-death-from-ecg-signal
#9
Elias Ebrahimzadeh, Mohammad Sajad Manuchehri, Sana Amoozegar, Babak Nadjar Araabi, Hamid Soltanian-Zadeh
Prediction of sudden cardiac death continues to gain universal attention as a promising approach to saving millions of lives threatened by sudden cardiac death (SCD). This study attempts to promote the literature from mere feature extraction analysis to developing strategies for manipulating the extracted features to target improvement of classification accuracy. To this end, a novel approach to local feature subset selection is applied using meticulous methodologies developed in previous studies of this team for extracting features from non-linear, time-frequency, and classical processes...
December 14, 2017: Medical & Biological Engineering & Computing
https://www.readbyqxmd.com/read/29219072/a-deep-auto-encoder-model-for-gene-expression-prediction
#10
Rui Xie, Jia Wen, Andrew Quitadamo, Jianlin Cheng, Xinghua Shi
BACKGROUND: Gene expression is a key intermediate level that genotypes lead to a particular trait. Gene expression is affected by various factors including genotypes of genetic variants. With an aim of delineating the genetic impact on gene expression, we build a deep auto-encoder model to assess how good genetic variants will contribute to gene expression changes. This new deep learning model is a regression-based predictive model based on the MultiLayer Perceptron and Stacked Denoising Auto-encoder (MLP-SAE)...
November 17, 2017: BMC Genomics
https://www.readbyqxmd.com/read/29209190/classification-of-eeg-signals-based-on-pattern-recognition-approach
#11
Hafeez Ullah Amin, Wajid Mumtaz, Ahmad Rauf Subhani, Mohamad Naufal Mohamad Saad, Aamir Saeed Malik
Feature extraction is an important step in the process of electroencephalogram (EEG) signal classification. The authors propose a "pattern recognition" approach that discriminates EEG signals recorded during different cognitive conditions. Wavelet based feature extraction such as, multi-resolution decompositions into detailed and approximate coefficients as well as relative wavelet energy were computed. Extracted relative wavelet energy features were normalized to zero mean and unit variance and then optimized using Fisher's discriminant ratio (FDR) and principal component analysis (PCA)...
2017: Frontiers in Computational Neuroscience
https://www.readbyqxmd.com/read/29202286/pm10-concentration-forecasting-in-the-metropolitan-area-of-oviedo-northern-spain-using-models-based-on-svm-mlp-varma-and-arima-a-case-study
#12
P J García Nieto, F Sánchez Lasheras, E García-Gonzalo, F J de Cos Juez
Atmospheric particulate matter (PM) is one of the pollutants that may have a significant impact on human health. Data collected over seven years in a city of the north of Spain is analyzed using four different mathematical models: vector autoregressive moving-average (VARMA), autoregressive integrated moving-average (ARIMA), multilayer perceptron (MLP) neural networks and support vector machines (SVMs) with regression. Measured monthly average pollutants and PM10 (particles with a diameter less than 10μm) concentration are used as input to forecast the monthly averaged concentration of PM10 from one to seven months ahead...
December 1, 2017: Science of the Total Environment
https://www.readbyqxmd.com/read/29188115/raman-spectral-post-processing-for-oral-tissue-discrimination-a-step-for-an-automatized-diagnostic-system
#13
Luis Felipe C S Carvalho, Marcelo Saito Nogueira, Lázaro P M Neto, Tanmoy T Bhattacharjee, Airton A Martin
Most oral injuries are diagnosed by histopathological analysis of a biopsy, which is an invasive procedure and does not give immediate results. On the other hand, Raman spectroscopy is a real time and minimally invasive analytical tool with potential for the diagnosis of diseases. The potential for diagnostics can be improved by data post-processing. Hence, this study aims to evaluate the performance of preprocessing steps and multivariate analysis methods for the classification of normal tissues and pathological oral lesion spectra...
November 1, 2017: Biomedical Optics Express
https://www.readbyqxmd.com/read/29186295/systematic-analysis-and-prediction-of-type-iv-secreted-effector-proteins-by-machine-learning-approaches
#14
Jiawei Wang, Bingjiao Yang, Yi An, Tatiana Marquez-Lago, André Leier, Jonathan Wilksch, Qingyang Hong, Yang Zhang, Morihiro Hayashida, Tatsuya Akutsu, Geoffrey I Webb, Richard A Strugnell, Jiangning Song, Trevor Lithgow
In the course of infecting their hosts, pathogenic bacteria secrete numerous effectors, namely, bacterial proteins that pervert host cell biology. Many Gram-negative bacteria, including context-dependent human pathogens, use a type IV secretion system (T4SS) to translocate effectors directly into the cytosol of host cells. Various type IV secreted effectors (T4SEs) have been experimentally validated to play crucial roles in virulence by manipulating host cell gene expression and other processes. Consequently, the identification of novel effector proteins is an important step in increasing our understanding of host-pathogen interactions and bacterial pathogenesis...
November 27, 2017: Briefings in Bioinformatics
https://www.readbyqxmd.com/read/29176802/assessment-of-automated-analysis-of-portable-oximetry-as-a-screening-test-for-moderate-to-severe-sleep-apnea-in-patients-with-chronic-obstructive-pulmonary-disease
#15
Ana M Andrés-Blanco, Daniel Álvarez, Andrea Crespo, C Ainhoa Arroyo, Ana Cerezo-Hernández, Gonzalo C Gutiérrez-Tobal, Roberto Hornero, Félix Del Campo
BACKGROUND: The coexistence of obstructive sleep apnea syndrome (OSAS) and chronic obstructive pulmonary disease (COPD) leads to increased morbidity and mortality. The development of home-based screening tests is essential to expedite diagnosis. Nevertheless, there is still very limited evidence on the effectiveness of portable monitoring to diagnose OSAS in patients with pulmonary comorbidities. OBJECTIVE: To assess the influence of suffering from COPD in the performance of an oximetry-based screening test for moderate-to-severe OSAS, both in the hospital and at home...
2017: PloS One
https://www.readbyqxmd.com/read/29168769/early-detection-of-the-initiation-of-sit-to-stand-posture-transitions-using-orthosis-mounted-sensors
#16
Abul Doulah, Xiangrong Shen, Edward Sazonov
Assistance during sit-to-stand (SiSt) transitions for frail elderly may be provided by powered orthotic devices. The control of the powered orthosis may be performed by the means of electromyography (EMG), which requires direct contact of measurement electrodes to the skin. The purpose of this study was to determine if a non-EMG-based method that uses inertial sensors placed at different positions on the orthosis, and a lightweight pattern recognition algorithm may accurately identify SiSt transitions without false positives...
November 23, 2017: Sensors
https://www.readbyqxmd.com/read/29165084/advances-on-automatic-speech-analysis-for-early-detection-of-alzheimer-disease-a-non-linear-multi-task-approach
#17
Karmele Lopez-de-Ipina, Unai Martinez-de-Lizarduy, Pilar M Calvo, Jiri Mekyska, Blanca Beitia, Nora Barroso, Ainara Estanga, Milkel Tainta, Mirian Ecay-Torres
OBJECTIVE: Nowadays proper detection of cognitive impairment has become a challenge for the scientific community. Alzheimer's Disease (AD), the most common cause of dementia, has a high prevalence that is increasing at a fast pace towards epidemic level. In the not-so-distant future this fact could have a dramatic social and economic impact. In this scenario, an early and accurate diagnosis of AD could help to decrease its effects on patients, relatives and society. Over the last decades there have been useful advances not only in classic assessment techniques, but also in novel non-invasive screening methodologies...
2018: Current Alzheimer Research
https://www.readbyqxmd.com/read/29147867/population-structure-of-candida-parapsilosis-no-genetic-difference-between-french-and-urugayan-isolates-using-microsatellite-length-polymorphism
#18
Marie Desnos-Ollivier, Victoria Bórmida, Philippe Poirier, Céline Nourrisson, Dinorah Pan, Stéphane Bretagne, Andrès Puime, Françoise Dromer
Candida parapsilosis is a human commensal yeast, frequently involved in infection worldwide and especially in neonates. It is the second species responsible for bloodstream infections in Uruguay and the third species in France. We were interested in knowing whether the population structure of isolates responsible for candidemia in France and in Uruguay was different. Genotyping methods based on microsatellite length polymorphism (MLP) have been described and are especially used for investigation of local outbreaks...
November 16, 2017: Mycopathologia
https://www.readbyqxmd.com/read/29127801/the-potential-of-chironomid-larvae-based-metrics-in-the-bioassessment-of-non-wadeable-rivers
#19
Djuradj Milošević, Dejan Mančev, Dubravka Čerba, Milica Stojković Piperac, Nataša Popović, Ana Atanacković, Jelena Đuknić, Vladica Simić, Momir Paunović
The chironomid community in non-wadeable lotic systems was tested as a source of information in the construction of biological metrics which could be used into the bioassessment protocols of large rivers. In order to achieve this, we simultaneously patterned the chironomid community structure and environmental factors along the catchment of the Danube and Sava River. The Self organizing map (SOM) recognized and visualized three different structural types of chironomid community for different environmental properties, described by means of 7 significant abiotic factors (a multi-stressor gradient)...
November 9, 2017: Science of the Total Environment
https://www.readbyqxmd.com/read/29113322/artificial-neural-network-models-for-early-diagnosis-of-hepatocellular-carcinoma-using-serum-levels-of-%C3%AE-fetoprotein-%C3%AE-fetoprotein-l3-des-%C3%AE-carboxy-prothrombin-and-golgi-protein-73
#20
Bo Li, Boan Li, Tongsheng Guo, Zhiqiang Sun, Xiaohan Li, Xiaoxi Li, Lin Chen, Jing Zhao, Yuanli Mao
More than 70% of hepatocellular carcinoma (HCC) cases develop as a consequence of liver cirrhosis (LC). Here we have evaluated the diagnostic potential of four serum biomarkers, and developed models for HCC diagnosis and differentiation from LC patients. Serum levels of α-fetoprotein (AFP), AFP-L3, des-γ-carboxy prothrombin (DCP), and Golgi protein 73 (GP73) were analyzed in 114 advanced HCC patients, 81 early stage HCC patients, and 152 LC patients. Multilayer perceptron (MLP) and radial basis function (RBF) neural networks were used to construct the diagnostic models...
October 6, 2017: Oncotarget
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