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https://www.readbyqxmd.com/read/28344192/effect-of-investigational-kisspeptin-metastin-analog-tak-683-on-luteinizing-hormone-secretion-at-different-stages-of-the-luteal-phase-in-goats
#1
Larasati Puji Rahayu, Mohammed El Behiry, Natsumi Endo, Tomomi Tanaka
This study aimed to examine the response of luteinizing hormone (LH) secretion and ovarian steroid profile to TAK-683, an investigational metastin/kisspeptin analog, through treatment during different stages of the luteal phase in goats. Nine cycling Shiba goats (4.4 ± 2.3 years old) were assigned to early luteal phase (ELP, n = 4), mid-luteal phase (MLP, n = 4), and control (n = 5) groups. The ELP and MLP groups were administered 50 µg of TAK-683 intravenously on either day 5 or between days 7-14 after ovulation, respectively...
March 25, 2017: Journal of Reproduction and Development
https://www.readbyqxmd.com/read/28331490/ranking-of-sites-for-installation-of-hydropower-plant-using-mlp-neural-network-trained-with-ga-a-madm-approach
#2
Benjamin A Shimray, Kh Manglem Singh, Thongam Khelchandra, R K Mehta
Every energy system which we consider is an entity by itself, defined by parameters which are interrelated according to some physical laws. In recent year tremendous importance is given in research on site selection in an imprecise environment. In this context, decision making for the suitable location of power plant installation site is an issue of relevance. Environmental impact assessment is often used as a legislative requirement in site selection for decades. The purpose of this current work is to develop a model for decision makers to rank or classify various power plant projects according to multiple criteria attributes such as air quality, water quality, cost of energy delivery, ecological impact, natural hazard, and project duration...
2017: Computational Intelligence and Neuroscience
https://www.readbyqxmd.com/read/28328517/convolution-in-convolution-for-network-in-network
#3
Yanwei Pang, Manli Sun, Xiaoheng Jiang, Xuelong Li
Network in network (NiN) is an effective instance and an important extension of deep convolutional neural network consisting of alternating convolutional layers and pooling layers. Instead of using a linear filter for convolution, NiN utilizes shallow multilayer perceptron (MLP), a nonlinear function, to replace the linear filter. Because of the powerfulness of MLP and 1 x 1 convolutions in spatial domain, NiN has stronger ability of feature representation and hence results in better recognition performance...
March 16, 2017: IEEE Transactions on Neural Networks and Learning Systems
https://www.readbyqxmd.com/read/28318505/machine-learning-in-the-prediction-of-cardiac-epicardial-and-mediastinal-fat-volumes
#4
É O Rodrigues, V H A Pinheiro, P Liatsis, A Conci
We propose a methodology to predict the cardiac epicardial and mediastinal fat volumes in computed tomography images using regression algorithms. The obtained results indicate that it is feasible to predict these fats with a high degree of correlation, thus alleviating the requirement for manual or automatic segmentation of both fat volumes. Instead, segmenting just one of them suffices, while the volume of the other may be predicted fairly precisely. The correlation coefficient obtained by the Rotation Forest algorithm using MLP Regressor for predicting the mediastinal fat based on the epicardial fat was 0...
February 24, 2017: Computers in Biology and Medicine
https://www.readbyqxmd.com/read/28316837/combination-of-navigated-macular-laser-photocoagulation-and-anti-vegf-therapy-precise-treatment-for-macular-edema-under-dry-retinal-conditions
#5
Ernest V Boiko, Dmitrii S Maltsev
Purpose. To compare the controllability of navigated macular laser photocoagulation (MLP) in dry versus edematous retina and validate that pretreatment diagnostic images can be used as basis for navigated MLP after the macular edema (ME) has been resolved. Materials and Methods. Group 1 was divided into subgroup 1 (dry retina MLP) and subgroup 2 (MLP in ME) for comparisons of laser-burn diameters. In group 2, the areas and locations of ME before an intravitreal injection of anti-VEGF (IVAV) were compared with those of recurrent ME...
2017: Journal of Ophthalmology
https://www.readbyqxmd.com/read/28283501/phase-ii-conjugates-of-urolithins-isolated-from-human-urine-and-potential-role-of-%C3%AE-glucuronidases-in-their-disposition
#6
Jakub P Piwowarski, Iwona Stanisławska, Sebastian Granica, Joanna Stefańska, Anna K Kiss
In recent years, many xenobiotics derived from natural products have been shown to undergo extensive metabolism by gut microbiota. Ellagitannins, which are high molecular polyphenols, are metabolized to dibenzo[b,d]pyran-6-one derivatives- urolithins. These compounds, in contrast with their parental compounds, have good bioavailability and are found in plasma and urine at micromolar concentrations. In vivo studies conducted for ellagitannin-containing natural products indicate their beneficial health effects towards inflammation and cancer, which are associated with the formation of urolithins...
March 10, 2017: Drug Metabolism and Disposition: the Biological Fate of Chemicals
https://www.readbyqxmd.com/read/28282603/nicotine-can-modulate-the-effects-of-the-mesenchymal-stem-cells-on-neutrophils
#7
Samira Pourtayeb, Seyyed Meysam Abtahi Froushani
PURPOSE: It has been revealed that mesenchymal stem cells (MSCs) express some of the nicotinic receptor subunits. Moreover, the crosstalk between MSCs and neutrophils is not far-fetched. Therefore, the aim of the present study is to determine the role of nicotine on the effects of MSCs on neutrophils. METHODS: After the isolation of mesenchymal stem cells from the bone marrow of rats, these cells were pulsed with different concentrations of nicotine (0, 0.1, 0.5, and 1μM) for different periods (24, 48, and 72h)...
March 7, 2017: Advances in Medical Sciences
https://www.readbyqxmd.com/read/28269817/features-extraction-and-multi-classification-of-semg-using-a-gpu-accelerated-ga-mlp-hybrid-algorithm
#8
Weizhen Luo, Zhongnan Zhang, Tingxi Wen, Chunfeng Li, Ziheng Luo
BACKGROUND: Surface electromyography (sEMG) signal is the combined effect of superficial muscle EMG and neural electrical activity. In recent years, researchers did large amount of human-machine system studies by using the physiological signals as control signals. OBJECTIVE: To develop and test a new multi-classification method to improve performance of analyzing sEMG signals based on public sEMG dataset. METHODS: First, ten features were selected as candidate features...
2017: Journal of X-ray Science and Technology
https://www.readbyqxmd.com/read/28269711/improving-odorant-chemical-class-prediction-with-multi-layer-perceptrons-using-temporal-odorant-spike-responses-from-drosophila-melanogaster-olfactory-receptor-neurons
#9
Luqman R Bachtiar, Richard D Newcomb, Andrew V Kralicek, Charles P Unsworth
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/28269669/pca-criterion-for-svm-mlp-classifier-for-flavivirus-biomarker-from-salivary-sers-spectra-at-febrile-stage
#10
A R M Radzol, Khuan Y Lee, W Mansor, I S Omar
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/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/28227973/improving-odorant-chemical-class-prediction-with-multi-layer-perceptrons-using-temporal-odorant-spike-responses-from-drosophila-melanogaster-olfactory-receptor-neurons
#12
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
#13
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
#14
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
#15
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
#16
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
#17
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
#18
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
#19
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
#20
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...
March 2017: Diagnostic Cytopathology
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