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https://www.readbyqxmd.com/read/28912425/predictive-models-of-minimal-hepatic-encephalopathy-for-cirrhotic-patients-based-on-large-scale-brain-intrinsic-connectivity-networks
#1
Yun Jiao, Xun-Heng Wang, Rong Chen, Tian-Yu Tang, Xi-Qi Zhu, Gao-Jun Teng
We aimed to find the most representative connectivity patterns for minimal hepatic encephalopathy (MHE) using large-scale intrinsic connectivity networks (ICNs) and machine learning methods. Resting-state fMRI was administered to 33 cirrhotic patients with MHE and 43 cirrhotic patients without MHE (NMHE). The connectivity maps of 20 ICNs for each participant were obtained by dual regression. A Bayesian machine learning technique, called Graphical Model-based Multivariate Analysis, was applied to determine ICN regions that characterized group differences...
September 14, 2017: Scientific Reports
https://www.readbyqxmd.com/read/28894545/comparing-performances-of-intelligent-classifier-algorithms-for-predicting-type-of-pain-in-patients-with-spinal-cord-injury
#2
Nasrolah Nasr HeidarAbadi, Laleh Hakemi, Pirhossein Kolivand, Reza Safdari, Marjan Ghazi Saeidi
BACKGROUND AND AIM: In this study, performances of classification techniques were compared in order to predict type of pain in patients with spinal cord injury. Pain is one of the main problems in people with spinal cord injury. Identifying the optimal classification technique will help improve decision support systems in clinical settings. METHODS: A descriptive retrospective analysis was performed in 253 patients. We compared performances of "Bayesian Networks", "Decision Tree", neural networks: "Multi-Layer Perceptron" (MLP), and "Support Vector Machines" (SVM)...
July 2017: Electronic Physician
https://www.readbyqxmd.com/read/28893410/an-artificial-neural-network-to-predict-resting-energy-expenditure-in-obesity
#3
Emmanuel Disse, Séverine Ledoux, Cécile Bétry, Cyrielle Caussy, Christine Maitrepierre, Muriel Coupaye, Martine Laville, Chantal Simon
BACKGROUND & AIMS: The resting energy expenditure (REE) determination is important in nutrition for adequate dietary prescription. The gold standard i.e. indirect calorimetry is not available in clinical settings. Thus, several predictive equations have been developed, but they lack of accuracy in subjects with extreme weight including obese populations. Artificial neural networks (ANN) are useful predictive tools in the area of artificial intelligence, used in numerous clinical fields...
September 1, 2017: Clinical Nutrition: Official Journal of the European Society of Parenteral and Enteral Nutrition
https://www.readbyqxmd.com/read/28891000/clinical-application-of-modified-bag-of-features-coupled-with-hybrid-neural-based-classifier-in-dengue-fever-classification-using-gene-expression-data
#4
Sankhadeep Chatterjee, Nilanjan Dey, Fuqian Shi, Amira S Ashour, Simon James Fong, Soumya Sen
Dengue fever detection and classification have a vital role due to the recent outbreaks of different kinds of dengue fever. Recently, the advancement in the microarray technology can be employed for such classification process. Several studies have established that the gene selection phase takes a significant role in the classifier performance. Subsequently, the current study focused on detecting two different variations, namely, dengue fever (DF) and dengue hemorrhagic fever (DHF). A modified bag-of-features method has been proposed to select the most promising genes in the classification process...
September 11, 2017: Medical & Biological Engineering & Computing
https://www.readbyqxmd.com/read/28880538/characterization-of-the-functional-variance-in-mbth-like-protein-interactions-with-a-nonribosomal-peptide-synthetase
#5
Rebecca Anne Schomer, Michael George Thomas
Many nonribosomal peptide synthetases (NRPSs) require MbtH-like proteins (MLPs) for solubility or for activation of amino acid substrate by the adenylation domain. MLPs are capable of functional crosstalk with non-cognate NRPSs at varying levels. Using enterobactin biosynthesis in Escherichia coli as a model MLP-dependent NRPS system, we use in vivo and in vitro techniques to characterize how seven non-cognate MLPs influence the function of the enterobactin NRPS EntF when the cognate MLP, YbdZ, is absent. Using a series of in vitro assays to analyze EntF solubility, adenylation, aminoacylation and in vitro enterobactin production, we show that interactions between MLPs and NRPSs are multifaceted and more complex than previously appreciated...
September 7, 2017: Biochemistry
https://www.readbyqxmd.com/read/28867610/muscle-lim-protein-and-myosin-binding-protein-c-form-a-complex-regulating-muscle-differentiation
#6
Demetrios A Arvanitis, Elizabeth Vafiadaki, Vasiliki Papalouka, Despina Sanoudou
Muscle Lim Protein (MLP) is a protein with multiple functional roles in striated muscle physiology and pathophysiology. Herein, we demonstrate that MLP directly binds to slow, fast, and cardiac myosin-binding protein C (MyBP-C) during myogenesis, as shown by yeast two-hybrid, and a range of protein-protein interaction assays. The minimal interacting domains involve MLP inter-LIM and MyBP-C C4. The interaction is sensitive to cytosolic Ca(2+) concentrations changes and to MyBP-C phosphorylation by PKA or CaMKII...
August 31, 2017: Biochimica et Biophysica Acta
https://www.readbyqxmd.com/read/28852200/early-gestational-maternal-low-protein-diet-diminishes-hepatic-response-to-fasting-in-young-adult-male-mice
#7
Noriko Sato, Katsuko Sudo, Masayo Mori, Chihiro Imai, Masaaki Muramatsu, Masahiro Sugimoto
Maternal low-protein (MLP) diet can lead to hepatic steatosis, which only develops with ageing. It is still unclear whether the young offspring show any signs of past exposure to prenatal adverse conditions. We hypothesized that early nutritional insult would first affect the dynamic responsiveness to nutritional challenges rather than the static state. We analyzed the transcriptome and metabolome profiles of the hepatic response to fasting/refeeding in young male mice offspring to identify changes induced by early gestational MLP diet...
August 29, 2017: Scientific Reports
https://www.readbyqxmd.com/read/28839112/an-ago2-associated-capped-transcriptional-start-site-small-rna-suppressing-adenovirus-dna-replication
#8
Wael Kamel, Göran Akusjärvi
Here we show that the adenovirus major late promoter produces a 31-nucleotide transcriptional start site small RNA (MLP-TSS-sRNA) that retains the 7-methylguanosine (m7G)-cap and is incorporated onto Ago2-containing RNA-induced silencing complexes (RISC) in human adenovirus-37 infected cells. RNA polymerase II CLIP (UV-cross linking immunoprecipitation) experiments suggest that the MLP-TSS-sRNA is produced by promoter proximal stalling/termination of RNA polymerase II transcription at the site of the small RNA 3'end...
August 24, 2017: RNA
https://www.readbyqxmd.com/read/28807038/nlr-mlp-svm-and-lda-a-comparative-analysis-on-emg-data-from-people-with-trans-radial-amputation
#9
Alberto Dellacasa Bellingegni, Emanuele Gruppioni, Giorgio Colazzo, Angelo Davalli, Rinaldo Sacchetti, Eugenio Guglielmelli, Loredana Zollo
BACKGROUND: Currently, the typically adopted hand prosthesis surface electromyography (sEMG) control strategies do not provide the users with a natural control feeling and do not exploit all the potential of commercially available multi-fingered hand prostheses. Pattern recognition and machine learning techniques applied to sEMG can be effective for a natural control based on the residual muscles contraction of amputated people corresponding to phantom limb movements. As the researches has reached an advanced grade accuracy, these algorithms have been proved and the embedding is necessary for the realization of prosthetic devices...
August 14, 2017: Journal of Neuroengineering and Rehabilitation
https://www.readbyqxmd.com/read/28774437/new-approach-to-detect-and-classify-stroke-in-skull-ct-images-via-analysis-of-brain-tissue-densities
#10
Pedro P Rebouças Filho, Róger Moura Sarmento, Gabriel Bandeira Holanda, Daniel de Alencar Lima
BACKGROUND AND OBJECTIVE: Cerebral vascular accident (CVA), also known as stroke, is an important health problem worldwide and it affects 16 million people worldwide every year. About 30% of those that have a stroke die and 40% remain with serious physical limitations. However, recovery in the damaged region is possible if treatment is performed immediately. In the case of a stroke, Computed Tomography (CT) is the most appropriate technique to confirm the occurrence and to investigate its extent and severity...
September 2017: Computer Methods and Programs in Biomedicine
https://www.readbyqxmd.com/read/28758207/the-potential-of-computer-vision-optical-backscattering-parameters-and-artificial-neural-network-modelling-in-monitoring-the-shrinkage-of-sweet-potato-ipomoea-batatas-l-during-drying
#11
Daniel I Onwude, Norhashila Hashim, Khalina Abdan, Rimfiel Janius, Guangnan Chen
BACKGROUND: Drying is a method used to preserve agricultural crops. During the drying of products with high moisture content, structural changes in shape, volume, area, density and porosity occur. This changes could affect the final quality of dried product and also the effective design of drying equipment. Therefore, this study investigated a novel approach in monitoring and predicting the shrinkage of sweet potato during drying. Drying experiments were conducted at temperatures of 50-70 °C and samples thicknesses of 2 - 6 mm...
July 30, 2017: Journal of the Science of Food and Agriculture
https://www.readbyqxmd.com/read/28753567/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
#12
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...
July 17, 2017: Oncotarget
https://www.readbyqxmd.com/read/28712031/human-skeletal-muscle-type-1-fibre-distribution-and-response-of-stress-sensing-proteins-along-the-titin-molecule-after-submaximal-exhaustive-exercise
#13
Satu O A Koskinen, Heikki Kyröläinen, Riina Flink, Harri P Selänne, Sheila S Gagnon, Juha P Ahtiainen, Bradley C Nindl, Maarit Lehti
Early responses of stress-sensing proteins, muscle LIM protein (MLP), ankyrin repeat proteins (Ankrd1/CARP and Ankrd2/Arpp) and muscle-specific RING finger proteins (MuRF1 and MuRF2), along the titin molecule were investigated in the present experiment after submaximal exhaustive exercise. Ten healthy men performed continuous drop jumping unilaterally on a sledge apparatus with a submaximal height until complete exhaustion. Five stress-sensing proteins were analysed by mRNA measurements from biopsies obtained immediately and 3 h after the exercise from exercised vastus lateralis muscle while control biopsies were obtained from non-exercised legs before the exercise...
July 15, 2017: Histochemistry and Cell Biology
https://www.readbyqxmd.com/read/28706255/mitsugumin-29-regulates-t-tubule-architecture-in-the-failing-heart
#14
Robert N Correll, Jeffrey M Lynch, Tobias G Schips, Vikram Prasad, Allen J York, Michelle A Sargent, Didier X P Brochet, Jianjie Ma, Jeffery D Molkentin
Transverse tubules (t-tubules) are uniquely-adapted membrane invaginations in cardiac myocytes that facilitate the synchronous release of Ca(2+) from internal stores and subsequent myofilament contraction, although these structures become disorganized and rarefied in heart failure. We previously observed that mitsugumin 29 (Mg29), an important t-tubule organizing protein in skeletal muscle, was induced in the mouse heart for the first time during dilated cardiomyopathy with heart failure. Here we generated cardiac-specific transgenic mice expressing Mg29 to model this observed induction in the failing heart...
July 13, 2017: Scientific Reports
https://www.readbyqxmd.com/read/28693533/classification-complexity-in-myoelectric-pattern-recognition
#15
Niclas Nilsson, Bo Håkansson, Max Ortiz-Catalan
BACKGROUND: Limb prosthetics, exoskeletons, and neurorehabilitation devices can be intuitively controlled using myoelectric pattern recognition (MPR) to decode the subject's intended movement. In conventional MPR, descriptive electromyography (EMG) features representing the intended movement are fed into a classification algorithm. The separability of the different movements in the feature space significantly affects the classification complexity. Classification complexity estimating algorithms (CCEAs) were studied in this work in order to improve feature selection, predict MPR performance, and inform on faulty data acquisition...
July 10, 2017: Journal of Neuroengineering and Rehabilitation
https://www.readbyqxmd.com/read/28688489/a-pca-aided-cross-covariance-scheme-for-discriminative-feature-extraction-from-eeg-signals
#16
Roozbeh Zarei, Jing He, Siuly Siuly, Yanchun Zhang
BACKGROUND AND OBJECTIVES: Feature extraction of EEG signals plays a significant role in Brain-computer interface (BCI) as it can significantly affect the performance and the computational time of the system. The main aim of the current work is to introduce an innovative algorithm for acquiring reliable discriminating features from EEG signals to improve classification performances and to reduce the time complexity. METHODS: This study develops a robust feature extraction method combining the principal component analysis (PCA) and the cross-covariance technique (CCOV) for the extraction of discriminatory information from the mental states based on EEG signals in BCI applications...
July 2017: Computer Methods and Programs in Biomedicine
https://www.readbyqxmd.com/read/28665297/respiratory-signal-prediction-based-on-adaptive-boosting-and-multi-layer-perceptron-neural-network
#17
W Z Sun, M Y Jiang, L Ren, J Dang, T You, F-F Yin
To improve the prediction accuracy of respiratory signals using adaptive boosting and multi-layer perceptron neural network (ADMLP-NN) for gated treatment of moving target in radiation therapy. The respiratory signals acquired using a real-time position management (RPM) device from 138 previous 4DCT scans were retrospectively used in this study. The ADMLP-NN was composed of several artificial neural networks (ANNs) which were used as weaker predictors to compose a stronger predictor. The respiratory signal was initially smoothed using a Savitzky-Golay finite impulse response smoothing filter (S-G filter)...
August 3, 2017: Physics in Medicine and Biology
https://www.readbyqxmd.com/read/28664374/multiple-linear-regression-and-artificial-neural-networks-for-delta-endotoxin-and-protease-yields-modelling-of-bacillus-thuringiensis
#18
Karim Ennouri, Rayda Ben Ayed, Mohamed Ali Triki, Ennio Ottaviani, Maura Mazzarello, Fathi Hertelli, Nabil Zouari
The aim of the present work was to develop a model that supplies accurate predictions of the yields of delta-endotoxins and proteases produced by B. thuringiensis var. kurstaki HD-1. Using available medium ingredients as variables, a mathematical method, based on Plackett-Burman design (PB), was employed to analyze and compare data generated by the Bootstrap method and processed by multiple linear regressions (MLR) and artificial neural networks (ANN) including multilayer perceptron (MLP) and radial basis function (RBF) models...
July 2017: 3 Biotech
https://www.readbyqxmd.com/read/28662115/a-two-step-approach-for-fluidized-bed-granulation-in-pharmaceutical-processing-assessing-different-models-for-design-and-control
#19
Liangshan Ming, Zhe Li, Fei Wu, Ruofei Du, Yi Feng
Various modeling techniques were used to understand fluidized bed granulation using a two-step approach. First, Plackett-Burman design (PBD) was used to identify the high-risk factors. Then, Box-Behnken design (BBD) was used to analyze and optimize those high-risk factors. The relationship between the high-risk input variables (inlet air temperature X1, binder solution rate X3, and binder-to-powder ratio X5) and quality attributes (flowability Y1, temperature Y2, moisture content Y3, aggregation index Y4, and compactability Y5) of the process was investigated using response surface model (RSM), partial least squares method (PLS) and artificial neural network of multilayer perceptron (MLP)...
2017: PloS One
https://www.readbyqxmd.com/read/28635647/virulence-genes-of-s-aureus-from-dairy-cow-mastitis-and-contagiousness-risk
#20
Giada Magro, Stefano Biffani, Giulietta Minozzi, Ralf Ehricht, Stefan Monecke, Mario Luini, Renata Piccinini
Staphylococcus aureus (S. aureus) is a major agent of dairy cow intramammary infections: the different prevalences of mastitis reported might be related to a combination of S. aureus virulence factors beyond host factors. The present study considered 169 isolates from different Italian dairy herds that were classified into four groups based on the prevalence of S. aureus infection at the first testing: low prevalence (LP), medium-low (MLP), medium-high (MHP) and high (HP). We aimed to correlate the presence of virulence genes with the prevalence of intramammary infections in order to develop new strategies for the control of S...
June 21, 2017: Toxins
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