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Yousef Sakieh, Abdolrassoul Salmanmahiny, Seyed Hamed Mirkarimi
Continuous surface of urbanization suitability, as an input to many urban growth models (UGM), has a significant role on a proper calibration process. The present study evaluates and compares the simulation success of the Cellular Automata-Markov Chain (CA-MC) model through multiple methods. For this, a series of mapping algorithms are applied ranging from empirical methods such as multi-criteria evaluation (MCE) to statistical algorithms without spatially explicit suitability mapping rules such as logistic regression (LR) and multi-layer perceptron (MLP) neural network and finally statistical and spatially explicit rule-based methods such as SLEUTH-Genetic Algorithm (SLEUTH-GA) model...
November 2016: Environmental Monitoring and Assessment
Regina Aroca-Santos, John C Cancilla, Enrique S Pariente, José S Torrecilla
The identification and quantification of binary blends of refined olive oil with four different extra virgin olive oil (EVOO) varietals (Picual, Cornicabra, Hojiblanca and Arbequina) was carried out with a simple method based on combining visible spectroscopy and non-linear artificial neural networks (ANNs). The data obtained from the spectroscopic analysis was treated and prepared to be used as independent variables for a multilayer perceptron (MLP) model. The model was able to perfectly classify the EVOO varietal (100% identification rate), whereas the error for the quantification of EVOO in the mixtures containing between 0% and 20% of refined olive oil, in terms of the mean prediction error (MPE), was 2...
December 1, 2016: Talanta
Katharina Wolf, Susanne Strand
Generation of primary cell culture of hepatocytes by mouse liver perfusion (MLP) combines the advantages of in vivo and in vitro models. It provides hepatocytes that grow under physiological conditions in mice, with the genotype of the whole organism or a specific gene knockout. In contrast to immortalized cell cultures, primary murine hepatocytes (pmHep) are non-cancerous cells with a limited lifespan but still amenable to classical in vitro methods such as treatment with drugs, small molecule inhibitors, and agonistic/antagonistic antibodies of surface receptors as well as transfection...
2017: Methods in Molecular Biology
Kadir Sabanci, Ahmet Kayabasi, Abdurrahim Toktas
BACKGROUND: A simplified computer vision-based application using artificial neural network (ANN) depending on multilayer perceptron (MLP) for accurately classifying the wheat grains into bread or durum is presented. The images of 100 bread wheat grains and 100 durum wheat grains are taken via a high resolution camera and they are subjected to a pre-processing. The main visual features of 4 dimensions, 3 colours and 5 texture are acquired using image processing techniques (IPTs). A total number of 21 visual features are reproduced from the 12 main features to diversify the input population for training and testing the ANN model...
October 8, 2016: Journal of the Science of Food and Agriculture
Isabel S Muranyi, Clemens Otto, Claudia Pickardt, Raffael Osen, Peter Koehler, Ute Schweiggert-Weisz
The technofunctional properties of 2 protein isolates from Lupinus angustifolius L. Vitabor isolated by different procedures were investigated. The lupin protein isolate prepared by aqueous alkaline extraction with subsequent isoelectric precipitation (ILP) showed a significantly higher degree of protein denaturation and lower denaturation temperatures than the one obtained by aqueous salt-induced extraction followed by dilutive precipitation (MLP) as determined by differential scanning calorimetry. Rheological investigations revealed higher firmness and a viscoelastic solid-like behavior of ILP, in contrast to MLP that showed viscoelastic, liquid-like properties...
October 5, 2016: Journal of Food Science
Hossein Zangooei, Mohammad Delnavaz, Gholamreza Asadollahfardi
Coagulation and flocculation are two main processes used to integrate colloidal particles into larger particles and are two main stages of primary water treatment. Coagulation and flocculation processes are only needed when colloidal particles are a significant part of the total suspended solid fraction. Our objective was to predict turbidity of water after the coagulation and flocculation process while other parameters such as types and concentrations of coagulants, pH, and influent turbidity of raw water were known...
September 2016: Water Science and Technology: a Journal of the International Association on Water Pollution Research
L Fransecky, M Neumann, S Heesch, C Schlee, J Ortiz-Tanchez, S Heller, M Mossner, S Schwartz, L H Mochmann, K Isaakidis, L Bastian, U R Kees, T Herold, K Spiekermann, N Gökbuget, C D Baldus
BACKGROUND: GATA3 is pivotal for the development of T lymphocytes. While its effects in later stages of T cell differentiation are well recognized, the role of GATA3 in the generation of early T cell precursors (ETP) has only recently been explored. As aberrant GATA3 mRNA expression has been linked to cancerogenesis, we investigated the role of GATA3 in early T cell precursor acute lymphoblastic leukemia (ETP-ALL). METHODS: We analyzed GATA3 mRNA expression by RT-PCR (n = 182) in adult patients with T-ALL...
2016: Journal of Hematology & Oncology
Hadi Ansarihadipour, Mohamadreza Bayatiani
BACKGROUND: Electromagnetic fields (EMF) are associated with oxidative stress, which is in turn associated with reactive oxygen species (ROS), anemia, and hypoxia. OBJECTIVES: This study focused on the synergistic effects of lead ions and EMF on oxidative modifications in hemoglobin (Hb) and plasma proteins. PATIENTS AND METHODS: In this experimental study, the blood samples were obtained from age- and sex-matched healthy subjects at Arak University of Medical Sciences, Arak, Iran...
July 2016: Iranian Red Crescent Medical Journal
Xue Jintao, Yang Quanwei, Jing Yun, Liu Yufei, Li Chunyan, Yang Jing, Wu Yanfang, Li Peng, Wan Guangrui
BACKGROUND: Gegen (Puerariae Labatae Radix) is one of the important medicines in Traditional Chinese Medicine. The studies showed that Gegen and its preparation had effective actions for atherosclerosis. OBJECTIVE: Near-infrared (NIR) was used to develop a method for rapid determination of puerarin during percolation and concentration process of Gegen. MATERIALS AND METHODS: About ten batches of samples were collected with high-performance liquid chromatography analysis values as reference, calibration models are generated by partial least-squares (PLS) regression as linear regression, and artificial neural networks (ANN) as nonlinear regression...
July 2016: Pharmacognosy Magazine
Bradley R Miller, Eric J Drake, Ce Shi, Courtney C Aldrich, Andrew M Gulick
Nonribosomal peptide synthetases (NRPSs) produce a wide variety of peptide natural products. During synthesis, the multidomain NRPSs act as an assembly line, passing the growing product from one module to the next. Each module generally consists of an integrated peptidyl carrier protein (PCP), an amino acid-loading adenylation domain, and a condensation domain that catalyzes peptide bond formation. Some adenylation domains interact with small partner proteins called MbtH-like proteins (MLPs) that enhance solubility or activity...
September 5, 2016: Journal of Biological Chemistry
Jung-Guk Park, Sungho Jo
We present a novel regularization method for a multilayer perceptron (MLP) that learns a regression function in the presence of noise regardless of how smooth the function is. Unlike general MLP regularization methods assuming that a regression function is smooth, the proposed regularization method is also valid when a regression function has discontinuities (non-smoothness). Since a true regression function to be learned is unknown, we examine a training set with our Bayesian approach that identifies non-smooth data, analyzing discontinuities in a regression function...
November 2016: Neural Networks: the Official Journal of the International Neural Network Society
S R Mishra, M S Parmar, V P Yadav, R Reshma, J Bharati, M K Bharti, A Paul, V S Chouhan, G Taru Sharma, G Singh, M Sarkar
The objective of this study was to document the expression and localization of angiopoietin (ANGPT) family members comprising of angiopoietin (ANGPT1 and ANGPT2), and their receptors (Tie1 and Tie2) in buffalo corpus luteum (CL) obtained from different stages of the oestrous cycle, and the modulatory role of ANGPT1 and ANGPT2 alone or in combinations on progesterone (P4 ) secretion and mRNA expression of phosphotidylinositide-3kinase-protein kinase B (PI3K-AKT), phosphoinositide-dependent kinase (PDK), protein kinase B (AKT), Bcl2 associated death promoter (BAD), caspase 3 and von willebrand factor (vWF) in luteal cells obtained from midluteal phase (MLP) of oestrous cycle in buffalo...
August 28, 2016: Reproduction in Domestic Animals, Zuchthygiene
N Sriraam, T K Padma Shri, Uma Maheshwari
Electroencephalographic (EEG) activity recorded during the entire sleep cycle reflects various complex processes associated with brain and exhibits a high degree of irregularity through various stages of sleep. The identification of transition from wakefulness to stage1 sleep is a challenging area of research for the biomedical community. In this paper, spectral entropy (SE) is used as a complexity measure to quantify irregularities in awake and stage1 sleep of 8-channel sleep EEG data from the polysomnographic recordings of ten healthy subjects...
September 2016: Australasian Physical & Engineering Sciences in Medicine
Yong-Hyuk Kim, Ji-Hun Ha, Yourim Yoon, Na-Young Kim, Hyo-Hyuc Im, Sangjin Sim, Reno K Y Choi
A correction method using machine learning aims to improve the conventional linear regression (LR) based method for correction of atmospheric pressure data obtained by smartphones. The method proposed in this study conducts clustering and regression analysis with time domain classification. Data obtained in Gyeonggi-do, one of the most populous provinces in South Korea surrounding Seoul with the size of 10,000 km(2), from July 2014 through December 2014, using smartphones were classified with respect to time of day (daytime or nighttime) as well as day of the week (weekday or weekend) and the user's mobility, prior to the expectation-maximization (EM) clustering...
2016: Computational Intelligence and Neuroscience
Edward Choi, Andy Schuetz, Walter F Stewart, Jimeng Sun
OBJECTIVE: We explored whether use of deep learning to model temporal relations among events in electronic health records (EHRs) would improve model performance in predicting initial diagnosis of heart failure (HF) compared to conventional methods that ignore temporality. MATERIALS AND METHODS: Data were from a health system's EHR on 3884 incident HF cases and 28 903 controls, identified as primary care patients, between May 16, 2000, and May 23, 2013. Recurrent neural network (RNN) models using gated recurrent units (GRUs) were adapted to detect relations among time-stamped events (eg, disease diagnosis, medication orders, procedure orders, etc...
August 13, 2016: Journal of the American Medical Informatics Association: JAMIA
María Luisa Sánchez Brea, Noelia Barreira Rodríguez, Noelia Sánchez Maroño, Antonio Mosquera González, Carlos García-Resúa, María Jesús Giráldez Fernández
OBJECTIVE: The sudden increase of blood flow in the bulbar conjunctiva, known as hyperemia, is associated to a red hue of variable intensity. Experts measure hyperemia using levels in a grading scale, a procedure that is subjective, non-repeatable and time consuming, thus creating a need for its automatisation. However, the task is far from straightforward due to data issues such as class imbalance or correlated features. In this paper, we study the specific features of hyperemia and propose various approaches to address these problems in the context of an automatic framework for hyperemia grading...
July 2016: Artificial Intelligence in Medicine
Florin Gorunescu, Smaranda Belciug
Neural networks (NNs), in general, and multi-layer perceptron (MLP), in particular, represent one of the most efficient classifiers among the machine learning (ML) algorithms. Inspired by the stimulus-sampling paradigm, it is plausible to assume that the association of stimuli with the neurons in the output layer of a MLP can increase its performance. The stimulus-sampling process is assumed memoryless (Markovian), in the sense that the choice of a particular stimulus at a certain step, conditioned by the whole prior evolution of the learning process, depends only on the network's answer at the previous step...
August 4, 2016: Journal of Biomedical Informatics
S Forkapic, D Maletić, J Vasin, K Bikit, D Mrdja, I Bikit, V Udovičić, R Banjanac
The most dominant source of indoor radon is the underlying soil, so the enhanced levels of radon are usually expected in mountain regions and geology units with high radium and uranium content in surface soils. Laboratory for radioactivity and dose measurement, Faculty of Sciences, University of Novi Sad has rich databases of natural radionuclides concentrations in Vojvodina soil and also of indoor radon concentrations for the region of Vojvodina, Northern Province of Serbia. In this paper we present the results of correlative and multivariate analysis of these results and soil characteristics in order to estimate the geogenic radon potential...
July 28, 2016: Journal of Environmental Radioactivity
Shalini Saha, Steven E Rokita
Nonribosomal peptide synthetases (NRPSs), which are responsible for synthesizing many medicinally important natural products, frequently use adenylation domain activators (ADAs) to promote substrate loading. Although ADAs are usually MbtH-like proteins (MLPs), a new type of ADA appears to promote an NRPS-dependent incorporation of a dihydropyrrole unit into sibiromycin. The adenylation and thiolation didomain of the NRPS SibD catalyzes the adenylation of a limited number of amino acids including l-Tyr, the precursor in dihydropyrrole biosynthesis, as determined by a standard radioactivity exchange assay...
October 4, 2016: Chembiochem: a European Journal of Chemical Biology
Simone Dalla Bella, Nicolas Farrugia, Charles-Etienne Benoit, Valentin Begel, Laura Verga, Eleanor Harding, Sonja A Kotz
The Battery for the Assessment of Auditory Sensorimotor and Timing Abilities (BAASTA) is a new tool for the systematic assessment of perceptual and sensorimotor timing skills. It spans a broad range of timing skills aimed at differentiating individual timing profiles. BAASTA consists of sensitive time perception and production tasks. Perceptual tasks include duration discrimination, anisochrony detection (with tones and music), and a version of the Beat Alignment Task. Perceptual thresholds for duration discrimination and anisochrony detection are estimated with a maximum likelihood procedure (MLP) algorithm...
July 21, 2016: Behavior Research Methods
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