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https://www.readbyqxmd.com/read/28550741/exploring-syndrome-differentiation-using-non-negative-matrix-factorization-and-cluster-analysis-in-patients-with-atopic-dermatitis
#1
Younghee Yun, Wonmo Jung, Hyunho Kim, Bo-Hyoung Jang, Min-Hee Kim, Jiseong Noh, Seong-Gyu Ko, Inhwa Choi
Syndrome differentiation (SD) results in a diagnostic conclusion based on a cluster of concurrent symptoms and signs, including pulse form and tongue color. In Korea, there is a strong interest in the standardization of Traditional Medicine (TM). In order to standardize TM treatment, standardization of SD should be given priority. The aim of this study was to explore the SD, or symptom clusters, of patients with atopic dermatitis (AD) using non-negative factorization methods and k-means clustering analysis...
May 22, 2017: Computers in Biology and Medicine
https://www.readbyqxmd.com/read/28550740/multi-resolution-classification-of-exhaled-aerosol-images-to-detect-obstructive-lung-diseases-in-small-airways
#2
Jinxiang Xi, Weizhong Zhao, Jiayao Eddie Yuan, Biwei Cao, Linlin Zhao
Exhaled aerosol patterns have been used to detect obstructive respiratory diseases in the upper airways. Signals from small airway diseases are weak and may not manifest themselves in the exhaled aerosol patterns. Therefore, it will be more challenging to detect abnormalities in small airways. The objective of this study is to develop a simulation-based classification model that can accurately classify small airway diseases. The model performance was evaluated in five obstructed models that are located in lung bifurcations G7-9...
May 20, 2017: Computers in Biology and Medicine
https://www.readbyqxmd.com/read/28550658/are-subjective-ratings-of-metaphors-a-red-herring-the-big-two-dimensions-of-metaphoric-sentences
#3
Paul H Thibodeau, Les Sikos, Frank H Durgin
What makes some metaphors easier to understand than others? Several psycholinguistic dimensions have been identified as candidate answers to this question, including appeals to familiarity and aptness. One way to operationalize these dimensions is to collect ratings of them from naive participants. In this article, we question the construct validity of this approach. Do ratings of aptness actually reflect the aptness of the metaphors? Are ratings of aptness measuring something different from ratings of familiarity? With two experiments and an analysis of existing datasets, we argue that ratings of metaphoric sentences are confounded by how easily people are able to understand the sentences (processing fluency)...
May 27, 2017: Behavior Research Methods
https://www.readbyqxmd.com/read/28550410/different-exogenous-sugars-affect-the-hormone-signal-pathway-and-sugar-metabolism-in-red-globe-vitis-vinifera-l-plantlets-grown-in-vitro-as-shown-by-transcriptomic-analysis
#4
Juan Mao, Wenfang Li, Baoqin Mi, Mohammed Mujitaba Dawuda, Alejandro Calderón-Urrea, Zonghuan Ma, Yongmei Zhang, Baihong Chen
Exogenously applied 2% fructose is the most appropriate carbon source that enhances photosynthesis and growth of grape plantlets compared with the same concentrations of sucrose and glucose. The role of the sugars was regulated by the expression of key candidate genes related to hormones, key metabolic enzymes, and sugar metabolism of grape plantlets ( Vitis vinifera L.) grown in vitro. The addition of sugars including sucrose, glucose, and fructose is known to be very helpful for the development of grape (V...
May 26, 2017: Planta
https://www.readbyqxmd.com/read/28550374/performance-of-an-artificial-multi-observer-deep-neural-network-for-fully-automated-segmentation-of-polycystic-kidneys
#5
Timothy L Kline, Panagiotis Korfiatis, Marie E Edwards, Jaime D Blais, Frank S Czerwiec, Peter C Harris, Bernard F King, Vicente E Torres, Bradley J Erickson
Deep learning techniques are being rapidly applied to medical imaging tasks-from organ and lesion segmentation to tissue and tumor classification. These techniques are becoming the leading algorithmic approaches to solve inherently difficult image processing tasks. Currently, the most critical requirement for successful implementation lies in the need for relatively large datasets that can be used for training the deep learning networks. Based on our initial studies of MR imaging examinations of the kidneys of patients affected by polycystic kidney disease (PKD), we have generated a unique database of imaging data and corresponding reference standard segmentations of polycystic kidneys...
May 26, 2017: Journal of Digital Imaging: the Official Journal of the Society for Computer Applications in Radiology
https://www.readbyqxmd.com/read/28550270/a-quantitative-evaluation-of-pleural-effusion-on-computed-tomography-scans-using-b-spline-and-local-clustering-level-set
#6
Lei Song, Jungang Gao, Sheng Wang, Youmin Guo
Estimation of the pleural effusion's volume is an important clinical issue. The existing methods cannot assess it accurately when there is large volume of liquid in the pleural cavity and/or the patient has some other disease (e.g. pneumonia). In order to help solve this issue, the objective of this study is to develop and test a novel algorithm using B-spline and local clustering level set method jointly, namely BLL. The BLL algorithm was applied to a dataset involving 27 pleural effusions detected on chest CT examination of 18 adult patients with the presence of free pleural effusion...
May 24, 2017: Journal of X-ray Science and Technology
https://www.readbyqxmd.com/read/28550266/assessing-decline-visualising-progression-in-huntington-s-disease-using-a-clinical-dashboard-with-enroll-hd-data
#7
Thomas Walker, Boyd Ghosh, Christopher Kipps
BACKGROUND: In Huntington's disease (HD), it remains unclear how symptom severity and rate of symptomatic change relates to age and CAG repeat number (CAGn). It is often difficult for clinicians to assess whether an affected individual's symptoms are progressing at a similar rate to their affected peers, limiting their ability to intervene at the most appropriate time. OBJECTIVE: To develop a clinical dashboard that compares an individual's total motor score (TMS), total functional capacity (TFC) and symbol digit modality test (SDMT) scores against a global cohort, controlling for age and CAGn...
May 24, 2017: Journal of Huntington's Disease
https://www.readbyqxmd.com/read/28550183/somatic-mutation-spectrum-in-monoclonal-gammopathy-of-undetermined-significance-indicates-a-less-complex-genomic-landscape-compared-to-multiple-myeloma
#8
Aneta Mikulasova, Christopher P Wardell, Alexander Murison, Eileen M Boyle, Graham H Jackson, Jan Smetana, Zuzana Kufova, Ludek Pour, Viera Sandecka, Martina Almasi, Pavla Vsianska, Evzen Gregora, Petr Kuglik, Roman Hajek, Faith E Davies, Gareth J Morgan, Brian A Walker
Monoclonal gammopathy of undetermined significance (MGUS) is a premalignant precursor of multiple myeloma with a 1% risk of progression per year. Although targeted analyses have shown the presence of specific genetic abnormalities such as IGH translocations, RB1 deletion, 1q gain, hyperdiploidy or RAS genes mutations, little is known about the molecular mechanism of malignant transformation. We have performed whole exome sequencing together with CGH+SNP array analysis in 33 flow-cytometry separated abnormal plasma cell samples from MGUS patients to describe somatic gene mutations and chromosome changes at the genome-wide level...
May 26, 2017: Haematologica
https://www.readbyqxmd.com/read/28550117/comparative-exploration-of-multidimensional-flow-cytometry-software-a-model-approach-evaluating-t-cell-polyfunctional-behavior
#9
Timothy T Spear, Michael I Nishimura, Patricia E Simms
Advancement in flow cytometry reagents and instrumentation has allowed for simultaneous analysis of large numbers of lineage/functional immune cell markers. Highly complex datasets generated by polychromatic flow cytometry require proper analytical software to answer investigators' questions. A problem among many investigators and flow cytometry Shared Resource Laboratories (SRLs), including our own, is a lack of access to a flow cytometry-knowledgeable bioinformatics team, making it difficult to learn and choose appropriate analysis tool(s)...
May 26, 2017: Journal of Leukocyte Biology
https://www.readbyqxmd.com/read/28549990/early-transcriptome-responses-of-the-bovine-midcycle-corpus-luteum-to-prostaglandin-f2%C3%AE-includes-cytokine-signaling
#10
Heather Talbott, Xiaoying Hou, Fang Qiu, Pan Zhang, Chittibabu Guda, Fang Yu, Robert A Cushman, Jennifer R Wood, Cheng Wang, Andrea S Cupp, John S Davis
In ruminants, prostaglandin F2alpha (PGF2α)-mediated luteolysis is essential prior to estrous cycle resumption, and is a target for improving fertility. To deduce early PGF2α-provoked changes in the corpus luteum a short time-course (0.5-4 h) was performed on cows at midcycle. A microarray-determined transcriptome was established and examined by bioinformatic pathway analysis. Classic PGF2α effects were evident by changes in early response genes (FOS, JUN, ATF3) and prediction of active pathways (PKC, MAPK)...
May 23, 2017: Molecular and Cellular Endocrinology
https://www.readbyqxmd.com/read/28549938/results-of-a-harmonized-endotoxin-recovery-study-protocol-evaluation-by-14-biophorum-operations-group-bpog-member-companies
#11
Jay Bolden, Michael Knight, Shahrzad Stockman, Bastian Omokoko
Significant regulatory and biopharmaceutical manufacturing attention has been recently generated regarding the inability to recover purified lipopolysaccharide in certain biopharmaceutical products, specifically those containing a chelator and surfactant. Disparate data has been generated and submitted during regulatory review. Study design is thought to significantly impact, and cause the confounding data. The BioPhorum Operations Group (BPOG) is an industry consortium of biopharmaceutical manufacturers. A BPOG team developed a collaborative experiment to determine if multiple laboratories could execute a harmonized protocol and reach equivalent conclusions...
May 23, 2017: Biologicals: Journal of the International Association of Biological Standardization
https://www.readbyqxmd.com/read/28549899/utility-of-published-dna-reactivity-alerts
#12
Alun Myden, Sebastien Guesne, Alex Cayley, Richard V Williams
The identification of impurities with mutagenic potential is required for any potential pharmaceutical. The ICH M7 guidelines state that two complementary in silico toxicity prediction tools may be used to predict the mutagenic potential of pharmaceutical impurities. An expert review of the resulting in silico predictions is required, and numerous publications have been released to guide the expert review process. One such publication suggests that literature-based structural alerts (LBSAs) may provide a suitable aid in the expert review process...
May 23, 2017: Regulatory Toxicology and Pharmacology: RTP
https://www.readbyqxmd.com/read/28549883/a-non-iterative-multi-scale-approach-for-intensity-inhomogeneity-correction-in-mri
#13
Maryjo M George, S Kalaivani, M S Sudhakar
Intensity inhomogeneity is the prime obstacle for MR image processing like automatic segmentation, registration etc. This complication has strong dependence on the associated acquisition hardware and patient anatomy which recommends retrospective correction. In this paper, a new method is developed for correcting the intensity inhomogeneity using a non-iterative multi-scale approach that doesn't necessitate segmentation and any prior knowledge on the scanner or subject. The proposed algorithm extracts bias field at different scales using a Log-Gabor filter bank followed by smoothing operation...
May 23, 2017: Magnetic Resonance Imaging
https://www.readbyqxmd.com/read/28549853/molecular-fingerprinting-of-principal-neurons-in-the-rodent-hippocampus-a-neuroinformatics-approach
#14
D J Hamilton, C M White, C L Rees, D W Wheeler, G A Ascoli
Neurons are often classified by their morphological and molecular properties. The online knowledge base Hippocampome.org primarily defines neuron types from the rodent hippocampal formation based on their main neurotransmitter (glutamate or GABA) and the spatial distributions of their axons and dendrites. For each neuron type, this open-access resource reports any and all published information regarding the presence or absence of known molecular markers, including calcium-binding proteins, neuropeptides, receptors, channels, transcription factors, and other molecules of biomedical relevance...
April 29, 2017: Journal of Pharmaceutical and Biomedical Analysis
https://www.readbyqxmd.com/read/28549847/trends-in-hospitalization-and-incidence-rate-for-syphilitic-uveitis-in-the-united-states-from-1998-2009
#15
Thomas Albini, Natalia F Callaway, Suzann Pershing, Sean K Wang, Andrew A Moshfeghi, Darius M Moshfeghi
PURPOSE: This study evaluates the annual incidence of syphilitic uveitis in the US and trends in hospital admissions over time. DESIGN: Retrospective, longitudinal incidence rate analysis of the National Inpatient Sample (NIS) data from 1998 to 2009. METHODS: The NIS is a de-identified, random sample dataset of inpatient hospitalizations from 46 states. The number of cases of syphilitic uveitis was defined: 1) ICD-9 code for syphilis and uveitis or 2) ICD-9 code for syphilitic uveitis...
May 23, 2017: American Journal of Ophthalmology
https://www.readbyqxmd.com/read/28549604/effects-of-eight-different-ligament-property-datasets-on-biomechanics-of-a-lumbar-l4-l5-finite-element-model
#16
S Naserkhaki, N Arjmand, A Shirazi-Adl, F Farahmand, M El-Rich
Ligaments assist trunk muscles in balancing external moments and providing spinal stability. In absence of the personalized material properties for ligaments, finite element (FE) models use dispersed data from the literature. This study aims to investigate the relative effects of eight different ligament property datasets on FE model responses. Eight L4-L5 models distinct only in ligament properties were constructed and loaded under moment (15Nm) alone or combined with a compressive follower load (FL). Range of motions (RoM) of the disc-alone model matched well in vitro data...
May 16, 2017: Journal of Biomechanics
https://www.readbyqxmd.com/read/28549512/infection-prevention-workforce-potential-benefits-to-educational-diversity
#17
Sara M Reese, Heather M Gilmartin
BACKGROUND: Nurses have historically occupied the infection preventionist (IP) role. As the knowledge and skills needed to advance the field expand, professionals from public health and the laboratory sciences have become IPs. Our study describes the characteristics of current IPs and assesses for relationships between background, certification, experience, and type of work performed. METHODS: The data were drawn from an existing dataset collected in the conduct of the Association for Professionals in Infection Control and Epidemiology (APIC) MegaSurvey...
June 1, 2017: American Journal of Infection Control
https://www.readbyqxmd.com/read/28549443/quantitative-analysis-of-cryptic-splicing-associated-with-tdp-43-depletion
#18
Jack Humphrey, Warren Emmett, Pietro Fratta, Adrian M Isaacs, Vincent Plagnol
BACKGROUND: Reliable exon recognition is key to the splicing of pre-mRNAs into mature mRNAs. TDP-43 is an RNA-binding protein whose nuclear loss and cytoplasmic aggregation are a hallmark pathology in amyotrophic lateral sclerosis and frontotemporal dementia (ALS/FTD). TDP-43 depletion causes the aberrant inclusion of cryptic exons into a range of transcripts, but their extent, relevance to disease pathogenesis and whether they are caused by other RNA-binding proteins implicated in ALS/FTD are unknown...
May 26, 2017: BMC Medical Genomics
https://www.readbyqxmd.com/read/28549425/fast-and-robust-adjustment-of-cell-mixtures-in-epigenome-wide-association-studies-with-smartsva
#19
Jun Chen, Ehsan Behnam, Jinyan Huang, Miriam F Moffatt, Daniel J Schaid, Liming Liang, Xihong Lin
BACKGROUND: One problem that plagues epigenome-wide association studies is the potential confounding due to cell mixtures when purified target cells are not available. Reference-free adjustment of cell mixtures has become increasingly popular due to its flexibility and simplicity. However, existing methods are still not optimal: increased false positive rates and reduced statistical power have been observed in many scenarios. METHODS: We develop SmartSVA, an optimized surrogate variable analysis (SVA) method, for fast and robust reference-free adjustment of cell mixtures...
May 26, 2017: BMC Genomics
https://www.readbyqxmd.com/read/28549410/large-scale-tissue-histopathology-image-classification-segmentation-and-visualization-via-deep-convolutional-activation-features
#20
Yan Xu, Zhipeng Jia, Liang-Bo Wang, Yuqing Ai, Fang Zhang, Maode Lai, Eric I-Chao Chang
BACKGROUND: Histopathology image analysis is a gold standard for cancer recognition and diagnosis. Automatic analysis of histopathology images can help pathologists diagnose tumor and cancer subtypes, alleviating the workload of pathologists. There are two basic types of tasks in digital histopathology image analysis: image classification and image segmentation. Typical problems with histopathology images that hamper automatic analysis include complex clinical representations, limited quantities of training images in a dataset, and the extremely large size of singular images (usually up to gigapixels)...
May 26, 2017: BMC Bioinformatics
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