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https://www.readbyqxmd.com/read/28227973/improving-odorant-chemical-class-prediction-with-multi-layer-perceptrons-using-temporal-odorant-spike-responses-from-drosophila-melanogaster-olfactory-receptor-neurons
#1
Luqman R Bachtiar, Richard D Newcomb, Andrew V Kralicek, Charles P Unsworth, Luqman R Bachtiar, Richard D Newcomb, Andrew V Kralicek, Charles P Unsworth, Charles P Unsworth, Andrew V Kralicek, Richard D Newcomb, Luqman R Bachtiar
In this work, we examine the possibility of improving the prediction performance of an olfactory biosensor through the use of temporal spiking data. We present an Artificial Neural Network (ANN), in the form of an optimal hybrid Multi-Layer Perceptron (MLP) system for the classification of chemical odorants from olfactory receptor neuron spike responses of the Drosophila melanogaster fruit fly (DmOrs). The data used in this study contains the responses to 34 odorants from 6 individual DmOrs, of which we exploit the temporal spiking responses of a 500ms odorant stimulus window...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227928/pca-criterion-for-svm-mlp-classifier-for-flavivirus-biomarker-from-salivary-sers-spectra-at-febrile-stage
#2
A R M Radzol, Khuan Y Lee, W Mansor, I S Omar, A R M Radzol, Khuan Y Lee, W Mansor, I S Omar, Khuan Y Lee, A R M Radzol, I S Omar, W Mansor
Non-structural protein (NS1) has been conceded as one of the biomarkers for flavivirus that causes diseases with life threatening consequences. NS1 is an antigen that allows detection of the illness at febrile stage, mostly from blood samples currently. Our work here intends to define an optimum model for PCA-SVM with MLP kernel for classification of flavivirus biomarker, NS1 molecule, from SERS spectra of saliva, which to the best of our knowledge has never been explored. Since performance of the model depends on the PCA criterion and MLP parameters, both are examined in tandem...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28225730/the-medical-legal-partnership-approach-to-teaching-social-determinants-of-health-and-structural-competency-in-residency-programs
#3
Edward G Paul, Mallory Curran, Elizabeth Tobin Tyler
Medical-legal partnerships (MLPs) embed civil legal services lawyers into health care settings and interprofessional health care teams delivering care to low-income or otherwise vulnerable patients and communities. MLPs present the opportunity to instill in residents a practical understanding of the social determinants of health and provide them with concrete tools to address them. MLP training helps residents develop structural competency and build the skills necessary to address barriers to health at the patient, institutional, and population levels...
March 2017: Academic Medicine: Journal of the Association of American Medical Colleges
https://www.readbyqxmd.com/read/28223799/hypoxia-responsive-ionizable-liposome-delivery-sirna-for-glioma-therapy
#4
Hong-Mei Liu, Ya-Fei Zhang, Yan-Dong Xie, Yi-Fan Cai, Bai-Yang Li, Wen Li, Ling-Yu Zeng, Yu-Ling Li, Ru-Tong Yu
Here, we report the hypoxia-responsive ionizable liposomes to deliver small interference RNA (siRNA) anticancer drugs, which can selectively enhance cellular uptake of the siRNA under hypoxic and low-pH conditions to cure glioma. For this purpose, malate dehydrogenase lipid molecules were synthesized, which contain nitroimidazole groups that impart hypoxia sensitivity and specificity as hydrophobic tails, and tertiary amines as hydrophilic head groups. These malate dehydrogenase molecules, together with DSPE-PEG2000 and cholesterol, were self-assembled into O'(1),O(1)-(3-(dimethylamino)propane-1,2-diyl) 16-bis(2-(2-methyl-5-nitro-1H-imidazol-1-yl)ethyl) di(hexadecanedioate) liposomes (MLP) to encapsulate siRNA through electrostatic interaction...
2017: International Journal of Nanomedicine
https://www.readbyqxmd.com/read/28214992/data-mining-in-hiv-aids-surveillance-system-application-to-portuguese-data
#5
Alexandra Oliveira, Brígida Mónica Faria, A Rita Gaio, Luís Paulo Reis
The Human Immunodeficiency Virus (HIV) is an infectious agent that attacks the immune system cells. Without a strong immune system, the body becomes very susceptible to serious life threatening opportunistic diseases. In spite of the great progresses on medication and prevention over the last years, HIV infection continues to be a major global public health issue, having claimed more than 36 million lives over the last 35 years since the recognition of the disease. Monitoring, through registries, of HIV-AIDS cases is vital to assess general health care needs and to support long-term health-policy control planning...
April 2017: Journal of Medical Systems
https://www.readbyqxmd.com/read/28210353/prevalence-of-horizontal-violence-among-emergency-attending-physicians-residents-and-physician-assistants
#6
Nico B Volz, Ryan Fringer, Bradford Walters, Terry Kowalenko
INTRODUCTION: Horizontal violence (HV) is malicious behavior perpetrated by healthcare workers against each other. These include bullying, verbal or physical threats, purposeful disruptive behavior, and other malicious behaviors. This pilot study investigates the prevalence of HV among emergency department (ED) attending physicians, residents, and mid-level providers (MLPs). METHODS: We sent an electronic survey to emergency medicine attending physicians (n=67), residents (n=25), and MLPs (n=24) in three unique EDs within a single multi-hospital medical system...
February 2017: Western Journal of Emergency Medicine
https://www.readbyqxmd.com/read/28197591/predicting-brain-network-changes-in-alzheimer-s-disease-with-link-prediction-algorithms
#7
Sadegh Sulaimany, Mohammad Khansari, Peyman Zarrineh, Madelaine Daianu, Neda Jahanshad, Paul M Thompson, Ali Masoudi-Nejad
Link prediction is a promising research area for modeling various types of networks and has mainly focused on predicting missing links. Link prediction methods may be valuable for describing brain connectivity, as it changes in Alzheimer's disease (AD) and its precursor, mild cognitive impairment (MCI). Here, we analyzed 3-tesla whole-brain diffusion-weighted images from 202 participants in the Alzheimer's Disease Neuroimaging Initiative (ADNI) - 50 healthy controls, 72 with earlyMCI (eMCI) and 38 with lateMCI (lMCI) and 42 AD patients...
February 15, 2017: Molecular BioSystems
https://www.readbyqxmd.com/read/28185577/artificial-neural-network-classifier-predicts-neuroblastoma-patients-outcome
#8
Davide Cangelosi, Simone Pelassa, Martina Morini, Massimo Conte, Maria Carla Bosco, Alessandra Eva, Angela Rita Sementa, Luigi Varesio
BACKGROUND: More than fifty percent of neuroblastoma (NB) patients with adverse prognosis do not benefit from treatment making the identification of new potential targets mandatory. Hypoxia is a condition of low oxygen tension, occurring in poorly vascularized tissues, which activates specific genes and contributes to the acquisition of the tumor aggressive phenotype. We defined a gene expression signature (NB-hypo), which measures the hypoxic status of the neuroblastoma tumor. We aimed at developing a classifier predicting neuroblastoma patients' outcome based on the assessment of the adverse effects of tumor hypoxia on the progression of the disease...
November 8, 2016: BMC Bioinformatics
https://www.readbyqxmd.com/read/28160459/image-analysis-and-multi-layer-perceptron-artificial-neural-networks-for-the-discrimination-between-benign-and-malignant-endometrial-lesions
#9
Georgios-Marios Makris, Abraham Pouliakis, Charalampos Siristatidis, Niki Margari, Emmanouil Terzakis, Nikolaos Koureas, Vasilios Pergialiotis, Nikolaos Papantoniou, Petros Karakitsos
BACKGROUND: This study aims to investigate the efficacy of an Artificial Neural Network based on Multi-Layer Perceptron (ANN-MPL) to discriminate between benign and malignant endometrial nuclei and lesions in cytological specimens. METHODS: We collected 416 histologically confirmed liquid-based cytological smears from 168 healthy patients, 152 patients with malignancy, 52 with hyperplasia without atypia, 20 with hyperplasia with atypia, and 24 patients with endometrial polyps...
February 3, 2017: Diagnostic Cytopathology
https://www.readbyqxmd.com/read/28143646/field-measurements-and-neural-network-modeling-of-water-quality-parameters
#10
Amir Hamzeh Haghiabi
Rivers are one of the main sources of water supply for agricultural, industrial, and urban use, and therefore, surveying their water quality is necessary. Recently, artificial neural networks have been proposed as a powerful tool for modeling and predicting water quality parameters in natural streams. In this paper, a multilayer neural network (MLP) model was developed to predict water quality parameters of Tireh River located in South West of Iran. The main parameters of water quality, namely total dissolved solids; specific conductivity; pH; and HCO3, Cl, Na, SO4, Mg, and Ca concentrations, were measured and predicted using the MLP model...
January 28, 2017: Marine Pollution Bulletin
https://www.readbyqxmd.com/read/28131060/proteomic-comparison-of-chelidonium-majus-l-latex-in-different-phases-of-plant-development
#11
Robert Nawrot, Rico Lippmann, Andrea Matros, Oskar Musidlak, Grzegorz Nowicki, Hans-Peter Mock
Chelidonium majus L. (Papaveraceae) latex is used in traditinonal folk medicine to treat papillae, warts, condylomas, which are visible effects of human papilloma virus (HPV) infections. The aim of this work was to provide new insights into the biology and medicinal use of C. majus milky sap in the flowering and fruit ripening period of the plant by comparing the protein content between samples collected on respective developmental stages using LC-MS-based label-free proteome approach. For quantification, the multiplexed LC-MS data were processed using comparative chemometric approach...
January 13, 2017: Plant Physiology and Biochemistry: PPB
https://www.readbyqxmd.com/read/28113333/machine-learning-approach-for-predicting-wall-shear-distribution-for-abdominal-aortic-aneurysm-and-carotid-bifurcation-models
#12
Milos Jordanski, Milos Radovic, Zarko Milosevic, Nenad Filipovic, Zoran Obradovic
Computer simulations based on the finite element method (FEM) represent powerful tools for modeling blood flow through arteries. However, due to its computational complexity, this approach may be inappropriate when results are needed quickly. In order to reduce computational time, in this paper we proposed an alternative machine learning based approach for calculation of wall shear stress (WSS) distribution, which may play an important role in mechanisms related to initiation and development of atherosclerosis...
December 14, 2016: IEEE Journal of Biomedical and Health Informatics
https://www.readbyqxmd.com/read/28113193/a-computer-aided-diagnosis-system-with-eeg-based-on-the-p3b-wave-during-an-auditory-odd-ball-task-in-schizophrenia
#13
Lorenzo Santos-Mayo, Luis M San-Jose-Revuelta, Juan Ignacio Arribas
OBJECTIVE: To design a Computer-aided diagnosis (CAD) system using an optimized methodology over the P3b wave in order to objectively and accurately discriminate between healthy controls (HC) and schizophrenic subjects (SZ). METHODS: We train, test, analyze, and compare various machine learning classification approaches optimized in terms of the correct classification rate (CCR), the degenerated Youden's index (DYI) and the area under the receiver operating curve (AUC)...
February 2017: IEEE Transactions on Bio-medical Engineering
https://www.readbyqxmd.com/read/28100483/electrophysiological-changes-in-12-year-old-children-born-mlp-reduced-vep-amplitude-in-mlp-children
#14
Lina H Raffa, Josefin Nilsson, Jovanna Dahlgren, Marita Andersson Grönlund
AIM: To study the electrophysiological changes in relation to fundus morphology in moderate-to-late preterm (MLP) children with no previous history of retinopathy of prematurity. METHODS: Visual acuity (VA), refraction and fundus variables measured by optical coherence tomography, pattern reversal visual evoked potentials and full-field electroretinography (ff-ERG) were obtained from 22 twelve-year-old MLP children (11 male, 11 female) and 21 full-term controls...
January 18, 2017: British Journal of Ophthalmology
https://www.readbyqxmd.com/read/28099477/chronic-maternal-low-protein-diet-in-mice-affects-anxiety-night-time-energy-expenditure-and-sleep-patterns-but-not-circadian-rhythm-in-male-offspring
#15
Randy F Crossland, Alfred Balasa, Rajesh Ramakrishnan, Sangeetha K Mahadevan, Marta L Fiorotto, Ignatia B Van den Veyver
Offspring of murine dams chronically fed a protein-restricted diet have an increased risk for metabolic and neurobehavioral disorders. Previously we showed that adult offspring, developmentally exposed to a chronic maternal low-protein (MLP) diet, had lower body and hind-leg muscle weights and decreased liver enzyme serum levels. We conducted energy expenditure, neurobehavioral and circadian rhythm assays in male offspring to examine mechanisms for the body-weight phenotype and assess neurodevelopmental implications of MLP exposure...
2017: PloS One
https://www.readbyqxmd.com/read/28088075/development-of-a-hypoxia-triggered-and-hypoxic-radiosensitized-liposome-as-a-doxorubicin-carrier-to-promote-synergetic-chemo-radio-therapy-for-glioma
#16
Hongmei Liu, Yandong Xie, Yafei Zhang, Yifan Cai, Baiyang Li, Honglin Mao, Yingguo Liu, Jun Lu, Longzhen Zhang, Rutong Yu
The treatment of malignant primary brain tumors is challenging. Concomitant radiochemotherapy has become the standard clinical treatment for malignant glioma, but there are two critical challenges to overcome in order to increase efficacy. First, glioma is known to have increased resistant to radiation due to its intra-tumoral hypoxia. In addition, the blood-brain barrier (BBB) restricts the distribution of the chemotherapeutic agent to the brain. Therefore, we developed a hypoxic radiosensitizer-prodrug liposome (MLP), in order to deliver DOX to the tumor and to overcome the above challenges, achieving a synergistic chemo-/radiotherapy treatment of malignant glioma...
March 2017: Biomaterials
https://www.readbyqxmd.com/read/28046376/su-f-e-09-respiratory-signal-prediction-based-on-multi-layer-perceptron-neural-network-using-adjustable-training-samples
#17
W Sun, M Jiang, F Yin
PURPOSE: Dynamic tracking of moving organs, such as lung and liver tumors, under radiation therapy requires prediction of organ motions prior to delivery. The shift of moving organ may change a lot due to huge transform of respiration at different periods. This study aims to reduce the influence of that changes using adjustable training signals and multi-layer perceptron neural network (ASMLP). METHODS: Respiratory signals obtained using a Real-time Position Management(RPM) device were used for this study...
June 2016: Medical Physics
https://www.readbyqxmd.com/read/28045608/comparison-of-different-artificial-neural-network-ann-architectures-in-modeling-of-chlorella-sp-flocculation
#18
Alireza Moosavi Zenooz, Farzin Zokaee Ashtiani, Reza Ranjbar, Fatemeh Nikbakht, Oberon Bolouri
Biodiesel production from microalgae feedstock should be performed after growth and harvesting of the cells and the most feasible method for harvesting and dewatering of microalgae is flocculation. Flocculation modeling can be used for evaluation and prediction of its performance under different affective parameters. However, the modeling of flocculation in microalgae is not simple and has not performed yet, under all experimental conditions, mostly due to different behaviors of microalgae cells during the process under different flocculation conditions...
January 3, 2017: Preparative Biochemistry & Biotechnology
https://www.readbyqxmd.com/read/28045540/characterization-of-pegylated-liposomal-mitomycin-c-lipid-based-prodrug-promitil%C3%A2-by-high-sensitivity-differential-scanning-calorimetry-and-cryogenic-transmission-electron-microscopy
#19
Xiaohui Wei, Yogita Patil, Patricia Ohana, Yasmine Amitay, Hilary Shmeeda, Alberto Gabizon, Yechezkel Barenholz
The effect of a lipidated prodrug of mitomycin C (MLP) on the membrane of a pegylated liposome formulation (PL-MLP), also known as Promitil®, was characterized through high-sensitivity differential scanning calorimetry (DSC), and cryo-TEM. The thermodynamic analysis demonstrated that MLP led to the formation of heterogeneous domains in the membrane plane of PL-MLP. MLP concentrated in prodrug-rich domains, arranged in high-ordered crystal-like structures, as suggested by the sharp and high enthalpy endotherm in the 1st heating scanning...
January 3, 2017: Molecular Pharmaceutics
https://www.readbyqxmd.com/read/28028498/human-verification-using-a-combination-of-static-and-dynamic-characteristics-in-foot-pressure-images
#20
Fereshteh E Zare, Keivan Maghooli
Since gait is the mixture of many complex movements, each individual can define with a unique foot pressure image that can be used as a reliable biometric scale for human verification. Foot pressure color images of Center for Biometrics and Security Research (CBSR) dataset from 45 men and 5 women were used in this study. Owing to the properties of this dataset, an index of foot pressure in addition to external feature and contourlet coefficient of images was extracted. A multilayer perceptron (MLP) was utilized for verification of subjects (it is a common practice to explain more about the training and test dataset)...
October 2016: Journal of Medical Signals and Sensors
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