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https://www.readbyqxmd.com/read/27904990/computer-modeling-in-predicting-the-bioactivity-of-human-5-lipoxygenase-inhibitors
#1
Mengdi Zhang, Zhonghua Xia, Aixia Yan
5-Lipoxygenase (5-LOX) is a key enzyme in the inflammatory path. Inhibitors of 5-LOX are useful for the treatment of diseases like arthritis, cancer, and asthma. We have collected a dataset including 220 human 5-LOX inhibitors for classification. A self-organizing map (SOM), a support vector machine (SVM), and a multilayer perceptron (MLP) algorithm were used to build models with selected descriptors for classifying 5-LOX inhibitors into active and weakly active ones. MACCS fingerprints were used in this model building process...
November 30, 2016: Molecular Diversity
https://www.readbyqxmd.com/read/27903138/partnerships-between-health-care-and-legal-providers-in-the-veterans-health-administration
#2
Jack Tsai, Margaret Middleton, Randye Retkin, Cindy Johnson, Kevin Kenneally, Scott Sherman, Robert A Rosenheck
Medical-legal partnerships (MLPs) represent an innovative service model in which lawyers are integrated into health care teams to address diverse legal problems that affect vulnerable populations. The Veterans Health Administration (VHA) operates the largest safety-net health care system in the country and serves many low-income and disabled veterans who could benefit from MLP services. In this column, the authors describe the development and operations of MLPs at four VHA medical centers that serve veterans who are homeless or who have serious mental illness...
December 1, 2016: Psychiatric Services: a Journal of the American Psychiatric Association
https://www.readbyqxmd.com/read/27899607/the-adenovirus-l4-22k-protein-regulates-transcription-and-rna-splicing-via-a-sequence-specific-single-stranded-rna-binding
#3
Susan Lan, Wael Kamel, Tanel Punga, Göran Akusjärvi
The adenovirus L4-22K protein both activates and suppresses transcription from the adenovirus major late promoter (MLP) by binding to DNA elements located downstream of the MLP transcriptional start site: the so-called DE element (positive) and the R1 region (negative). Here we show that L4-22K preferentially binds to the RNA form of the R1 region, both to the double-stranded RNA and the single-stranded RNA of the same polarity as the nascent MLP transcript. Further, L4-22K binds to a 5'-CAAA-3' motif in the single-stranded RNA, which is identical to the sequence motif characterized for L4-22K DNA binding...
November 29, 2016: Nucleic Acids Research
https://www.readbyqxmd.com/read/27899332/artificial-neural-network-for-suppression-of-banding-artifacts-in-balanced-steady-state-free-precession-mri
#4
Ki Hwan Kim, Sung-Hong Park
The balanced steady-state free precession (bSSFP) MR sequence is frequently used in clinics, but is sensitive to off-resonance effects, which can cause banding artifacts. Often multiple bSSFP datasets are acquired at different phase cycling (PC) angles and then combined in a special way for banding artifact suppression. Many strategies of combining the datasets have been suggested for banding artifact suppression, but there are still limitations in their performance, especially when the number of phase-cycled bSSFP datasets is small...
November 26, 2016: Magnetic Resonance Imaging
https://www.readbyqxmd.com/read/27886024/predicting-adherence-to-use-of-remote-health-monitoring-systems-in-a-cohort-of-patients-with-chronic-heart-failure
#5
Lorraine S Evangelista, Hassan Ghasemzadeh, Jung-Ah Lee, Ramin Fallahzadeh, Majid Sarrafzadeh, Debra K Moser
BACKGROUND: It is unclear whether subgroups of patients may benefit from remote monitoring systems (RMS) and what user characteristics and contextual factors determine effective use of RMS in patients with heart failure (HF). OBJECTIVE: The study was conducted to determine whether certain user characteristics (i.e. personal and clinical variables) predict use of RMS using advanced machine learning software algorithms in patients with HF. METHODS: This pilot study was a single-arm experimental study with a pre- (baseline) and post- (3 months) design; data from the baseline measures were used for the current data analyses...
November 18, 2016: Technology and Health Care: Official Journal of the European Society for Engineering and Medicine
https://www.readbyqxmd.com/read/27875861/analyzing-signal-attenuation-in-pfg-anomalous-diffusion-via-a-non-gaussian-phase-distribution-approximation-approach-by-fractional-derivatives
#6
Guoxing Lin
Anomalous diffusion exists widely in polymer and biological systems. Pulsed-field gradient (PFG) techniques have been increasingly used to study anomalous diffusion in nuclear magnetic resonance and magnetic resonance imaging. However, the interpretation of PFG anomalous diffusion is complicated. Moreover, the exact signal attenuation expression including the finite gradient pulse width effect has not been obtained based on fractional derivatives for PFG anomalous diffusion. In this paper, a new method, a Mainardi-Luchko-Pagnini (MLP) phase distribution approximation, is proposed to describe PFG fractional diffusion...
November 21, 2016: Journal of Chemical Physics
https://www.readbyqxmd.com/read/27867826/development-of-intron-polymorphism-markers-in-major-latex-like-protein-gene-for-locality-level-and-cultivar-identification-of-salvia-miltiorrhiza
#7
Hongtao Wang, Na Hao, Lei Chen, Guisheng Li
BACKGROUND: Salvia miltiorrhiza (Danshen) is one of the most widely used medicinal herbs in traditional Chinese medicine. Locality-level and cultivar identification is of great importance not only for protecting highest therapeutic effectiveness of Daodi Danshen, but also for the genetic conservation and utilization of existing S. miltiorrhiza populations. RESULTS: Intron polymorphisms including SNPs (single nucleotide polymorphisms) and indels were exploited in major latex-like protein (MLP) gene...
2016: SpringerPlus
https://www.readbyqxmd.com/read/27867247/-extra-oomph-addressing-housing-disparities-through-medical-legal-partnership-interventions
#8
Diana Hernández
Low-income households face common and chronic housing problems that have known health risks and legal remedies. The Medical Legal Partnership (MLP) program presents a unique opportunity to address housing problems and improve patient health through legal assistance offered in clinical settings. Drawn from in-depth interviews with 72 patients, this study investigated the outcomes of MLP interventions and compares results to similarly disadvantaged participants with no access to MLP services. Results indicate that participants in the MLP group were more likely to achieve adequate, affordable and stable housing than those in the comparison group...
2016: Housing Studies
https://www.readbyqxmd.com/read/27863978/predicting-the-physiological-response-of-tivela-stultorum-hearts-with-digoxin-from-cardiac-parameters-using-artificial-neural-networks
#9
Dora-Luz Flores, Claudia Gómez, David Cervantes, Alberto Abaroa, Carlos Castro, Rubén A Castañeda-Martínez
Multi-layer perceptron artificial neural networks (MLP-ANNs) were used to predict the concentration of digoxin needed to obtain a cardio-activity of specific biophysical parameters in Tivela stultorum hearts. The inputs of the neural networks were the minimum and maximum values of heart contraction force, the time of ventricular filling, the volume used for dilution, heart rate and weight, volume, length and width of the heart, while the output was the digoxin concentration in dilution necessary to obtain a desired physiological response...
November 15, 2016: Bio Systems
https://www.readbyqxmd.com/read/27860007/a-neural-network-prediction-of-environmental-determinants-of-anopheles-sinensis-knockdown-resistance-mutation-to-pyrethroids-in-china
#10
Xing Wei, Guiyun Yan, Guofa Zhou, Daibin Zhong, Qiang Fang, Xiaodi Yang, Dehua Hu, Xuelian Chang
Selection pressure caused by long-term intensive use of insecticides is the key driving force in resistance development. Additional parameters such as environmental conditions may affect both the mosquito response to insecticides and the selection of resistance mechanisms. In this context, we analyzed the environmental determinants of kdr prevalence in Anopheles sinensis across China. We collected kdr frequency from 48 sites across central and southern China, together with key environmental factors including long-term climatic data, topographic features, main crops, and land cover types...
December 2016: Journal of Vector Ecology: Journal of the Society for Vector Ecology
https://www.readbyqxmd.com/read/27843447/a-new-data-representation-based-on-training-data-characteristics-to-extract-drug-name-entity-in-medical-text
#11
Mujiono Sadikin, Mohamad Ivan Fanany, T Basaruddin
One essential task in information extraction from the medical corpus is drug name recognition. Compared with text sources come from other domains, the medical text mining poses more challenges, for example, more unstructured text, the fast growing of new terms addition, a wide range of name variation for the same drug, the lack of labeled dataset sources and external knowledge, and the multiple token representations for a single drug name. Although many approaches have been proposed to overwhelm the task, some problems remained with poor F-score performance (less than 0...
2016: Computational Intelligence and Neuroscience
https://www.readbyqxmd.com/read/27816834/factors-influencing-the-development-of-visceral-metastasis-of-breast-cancer-a-retrospective-multi-center-study
#12
Catharina Bartmann, Joachim Diessner, Maria Blettner, Sebastian Häusler, Wolfgang Janni, Rolf Kreienberg, Mathias Krockenberger, Lukas Schwentner, Roland Stein, Tanja Stüber, Achim Wöckel, Manfred Wischnewsky
PURPOSE: Visceral metastasis of breast cancer (BC) is an alarming development and correlates with poor median overall survival. The purpose of this retrospective study is to examine the risk factors for developing visceral metastasis by considering tumor biology and patient characteristics. METHODS: Using the BRENDA database, the risk factors such as histological and intrinsic subtypes of BC, age at primary diagnosis, grading, nodal status, tumor size and year of primary diagnosis were examined in univariate and multivariate analysis...
November 2, 2016: Breast: Official Journal of the European Society of Mastology
https://www.readbyqxmd.com/read/27815231/sleep-quality-prediction-from-wearable-data-using-deep-learning
#13
Aarti Sathyanarayana, Shafiq Joty, Luis Fernandez-Luque, Ferda Ofli, Jaideep Srivastava, Ahmed Elmagarmid, Teresa Arora, Shahrad Taheri
BACKGROUND: The importance of sleep is paramount to health. Insufficient sleep can reduce physical, emotional, and mental well-being and can lead to a multitude of health complications among people with chronic conditions. Physical activity and sleep are highly interrelated health behaviors. Our physical activity during the day (ie, awake time) influences our quality of sleep, and vice versa. The current popularity of wearables for tracking physical activity and sleep, including actigraphy devices, can foster the development of new advanced data analytics...
November 4, 2016: JMIR MHealth and UHealth
https://www.readbyqxmd.com/read/27810624/developing-new-vo2max-prediction-models-from-maximal-submaximal-and-questionnaire-variables-using-support-vector-machines-combined-with-feature-selection
#14
Fatih Abut, Mehmet Fatih Akay, James George
Maximal oxygen uptake (VO2max) is an essential part of health and physical fitness, and refers to the highest rate of oxygen consumption an individual can attain during exhaustive exercise. In this study, for the first time in the literature, we combine the triple of maximal, submaximal and questionnaire variables to propose new VO2max prediction models using Support Vector Machines (SVM's) combined with the Relief-F feature selector to predict and reveal the distinct predictors of VO2max. For comparison purposes, hybrid models based on double combinations of maximal, submaximal and questionnaire variables have also been developed...
October 20, 2016: Computers in Biology and Medicine
https://www.readbyqxmd.com/read/27804976/tetrapod-limb-and-sarcopterygian-fin-regeneration-share-a-core-genetic-programme
#15
Acacio F Nogueira, Carinne M Costa, Jamily Lorena, Rodrigo N Moreira, Gabriela N Frota-Lima, Carolina Furtado, Mark Robinson, Chris T Amemiya, Sylvain Darnet, Igor Schneider
Salamanders are the only living tetrapods capable of fully regenerating limbs. The discovery of salamander lineage-specific genes (LSGs) expressed during limb regeneration suggests that this capacity is a salamander novelty. Conversely, recent paleontological evidence supports a deeper evolutionary origin, before the occurrence of salamanders in the fossil record. Here we show that lungfishes, the sister group of tetrapods, regenerate their fins through morphological steps equivalent to those seen in salamanders...
November 2, 2016: Nature Communications
https://www.readbyqxmd.com/read/27804096/destabilising-automobility-the-emergent-mobilities-of-generation-y
#16
Debbie Hopkins
This paper uses empirical material gathered with young adults in New Zealand to examine a potential sustainability transition-in-practice. It draws from two frameworks; the actor-centred Energy Cultures Framework to explore mobility behaviours, and the multi-level perspective (MLP) to situate behaviour change within the socio-technical transitions literature. The MLP has traditionally been used to analyse historical transitions (e.g. from the horse and cart to the motor vehicle), but in this paper, it is used to explore an on-going change trend; the emergent mobilities of young adults who appear to be aspiring for different types of mobility...
November 1, 2016: Ambio
https://www.readbyqxmd.com/read/27771873/rules-versus-layers-which-side-wins-the-battle-of-model-calibration
#17
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...
December 0: Environmental Monitoring and Assessment
https://www.readbyqxmd.com/read/27769410/neural-networks-applied-to-characterize-blends-containing-refined-and-extra-virgin-olive-oils
#18
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
https://www.readbyqxmd.com/read/27761819/assessing-the-histone-deacetylase-activity-of-sirt6-in-primary-murine-hepatocytes-via-proximity-ligation-assay
#19
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
https://www.readbyqxmd.com/read/27718230/computer-vision-based-method-for-classification-of-wheat-grains-using-artificial-neural-network
#20
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 wheat grains into bread or durum is presented. The images of 100 bread and 100 durum wheat grains are taken via a high-resolution camera and subjected to pre-processing. The main visual features of four dimensions, three colors and five textures are acquired using image-processing techniques (IPTs). A total 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
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