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https://www.readbyqxmd.com/read/28431210/exotic-gill-lice-species-copepoda-lernaeopodidae-salmincola-spp-infect-rainbow-trout-oncorhynchus-mykiss-and-brook-trout-salvelinus-fontinalis-in-the-southeastern-united-states
#1
Carlos F Ruiz, Jacob M Rash, Doug A Besler, Jackson R Roberts, Micah B Warren, Cova R Arias, Stephen A Bullard
Salmincola californiensis infected 25 of 31 (prevalence 0.8; intensity 2-35 [mean 6.6 ± standard deviation 7.7; n = 25]) rainbow trout, Oncorhynchus mykiss, from a private trout farm connected to the Watauga River, North Carolina. Salmincola edwardsii infected all of 9 (1.0; 2-43 [9.3 ± 13.0; 9]) brook trout, Salvelinus fontinalis, from Big Norton Prong, a tributary of the Little Tennessee River, North Carolina. Both lernaeopodids are well-known salmonid pathogens but neither is native to, nor has been previously taxonomically confirmed from, the southeastern United States...
April 21, 2017: Journal of Parasitology
https://www.readbyqxmd.com/read/28430088/informatics-for-health-2017-advancing-both-science-and-practice
#2
Philip J Scott, Ronald Cornet, Colin McCowan, Niels Peek, Paolo Fraccaro, Nophar Geifman, Wouter T Gude, William Hulme, Glen P Martin, Richard Williams
INTRODUCTION: The Informatics for Health congress, 24-26 April 2017, in Manchester, UK, brought together the Medical Informatics Europe (MIE) conference and the Farr Institute International Conference. This special issue of the Journal of Innovation in Health Informatics contains 113 presentation abstracts and 149 poster abstracts from the congress. DISCUSSION: The twin programmes of "Big Data" and "Digital Health" are not always joined up by coherent policy and investment priorities...
April 21, 2017: Journal of Innovation in Health Informatics
https://www.readbyqxmd.com/read/28429498/separate-neural-systems-for-behavioral-change-and-for-emotional-responses-to-failure-during-behavioral-inhibition
#3
Wanlu Deng, Edmund T Rolls, Xiaoxi Ji, Trevor W Robbins, Tobias Banaschewski, Arun L W Bokde, Uli Bromberg, Christian Buechel, Sylvane Desrivières, Patricia Conrod, Herta Flor, Vincent Frouin, Juergen Gallinat, Hugh Garavan, Penny Gowland, Andreas Heinz, Bernd Ittermann, Jean-Luc Martinot, Herve Lemaitre, Frauke Nees, Dimitri Papadopoulos Orfanos, Luise Poustka, Michael N Smolka, Henrik Walter, Robert Whelan, Gunter Schumann, Jianfeng Feng
To analyze the involvement of different brain regions in behavioral inhibition and impulsiveness, differences in activation were investigated in fMRI data from a response inhibition task, the stop-signal task, in 1709 participants. First, areas activated more in stop-success (SS) than stop-failure (SF) included the lateral orbitofrontal cortex (OFC) extending into the inferior frontal gyrus (ventrolateral prefrontal cortex, BA 47/12), and the dorsolateral prefrontal cortex (DLPFC). Second, the anterior cingulate and anterior insula (AI) were activated more on failure trials, specifically in SF versus SS...
April 21, 2017: Human Brain Mapping
https://www.readbyqxmd.com/read/28428875/genetic-relationships-among-eriobotrya-species-revealed-by-genome-wide-rad-sequence-data
#4
Xianghui Yang, Samaneh Kazemiani Najafabadi, Muhammad Qasim Shahid, Zhike Zhang, Yi Jing, Weiling Wei, Jingcheng Wu, Yongshun Gao, Shunquan Lin
Restriction site-associated DNA sequencing (RAD-seq) was used to illuminate the genetic relationships among Eriobotrya species. The raw data were filtered, and 221 million clean reads were used for further analysis. A total of 1,983,332 SNPs were obtained from 23 Eriobotrya species and two relative genera. We obtained similar results by neighbor-joining and maximum likelihood phylogenetic trees. All Eriobotrya plants grouped together into a big clade, and two out-groups clustered together into a single or separate clade...
April 2017: Ecology and Evolution
https://www.readbyqxmd.com/read/28427464/accuracy-of-low-density-lipoprotein-cholesterol-estimation-at-very-low-levels
#5
Renato Quispe, Aditya Hendrani, Mohamed B Elshazly, Erin D Michos, John W McEvoy, Michael J Blaha, Maciej Banach, Krishnaji R Kulkarni, Peter P Toth, Josef Coresh, Roger S Blumenthal, Steven R Jones, Seth S Martin
BACKGROUND: As the approach to low-density lipoprotein cholesterol (LDL-C) lowering becomes increasingly intensive, accurate assessment of LDL-C at very low levels warrants closer attention in individualized clinical efficacy and safety evaluation. We aimed to assess the accuracy of LDL-C estimation at very low levels by the Friedewald equation, the de facto clinical standard, and compare its accuracy with a novel, big data-derived LDL-C estimate. METHODS: In 191,333 individuals with Friedewald LDL-C < 70 mg/dL, we compared the accuracy of Friedewald and novel LDL-C values in relation to direct measurements by Vertical Auto Profile ultracentrifugation...
April 20, 2017: BMC Medicine
https://www.readbyqxmd.com/read/28426908/clinically-useful-brain-imaging-for-neuropsychiatry-how-can-we-get-there
#6
REVIEW
Michael P Milham, R Cameron Craddock, Arno Klein
Despite decades of research, visions of transforming neuropsychiatry through the development of brain imaging-based "growth charts" or "lab tests" have remained out of reach. In recent years, there is renewed enthusiasm about the prospect of achieving clinically useful tools capable of aiding the diagnosis and management of neuropsychiatric disorders. The present work explores the basis for this enthusiasm. We assert that there is no single advance that currently has the potential to drive the field of clinical brain imaging forward...
April 20, 2017: Depression and Anxiety
https://www.readbyqxmd.com/read/28426758/traces-of-business-cycles-in-credit-rating-migrations
#7
Dmitri Boreiko, Serguei Kaniovski, Yuri Kaniovski, Georg Pflug
Using migration data of a rating agency, this paper attempts to quantify the impact of macroeconomic conditions on credit-rating migrations. The migrations are modeled as a coupled Markov chain, where the macroeconomic factors are represented by unobserved tendency variables. In the simplest case, these binary random variables are static and credit-class-specific. A generalization treats tendency variables evolving as a time-homogeneous Markov chain. A more detailed analysis assumes a tendency variable for every combination of a credit class and an industry...
2017: PloS One
https://www.readbyqxmd.com/read/28425947/deep-count-fruit-counting-based-on-deep-simulated-learning
#8
Maryam Rahnemoonfar, Clay Sheppard
Recent years have witnessed significant advancement in computer vision research based on deep learning. Success of these tasks largely depends on the availability of a large amount of training samples. Labeling the training samples is an expensive process. In this paper, we present a simulated deep convolutional neural network for yield estimation. Knowing the exact number of fruits, flowers, and trees helps farmers to make better decisions on cultivation practices, plant disease prevention, and the size of harvest labor force...
April 20, 2017: Sensors
https://www.readbyqxmd.com/read/28425345/surrogate-marker-analysis-in-cancer-clinical-trials-through-time-to-event-mediation-techniques
#9
Sjouke Vandenberghe, Luc Duchateau, Leen Slaets, Jan Bogaerts, Stijn Vansteelandt
The meta-analytic approach is the gold standard for validation of surrogate markers, but has the drawback of requiring data from several trials. We refine modern mediation analysis techniques for time-to-event endpoints and apply them to investigate whether pathological complete response can be used as a surrogate marker for disease-free survival in the EORTC 10994/BIG 1-00 randomised phase 3 trial in which locally advanced breast cancer patients were randomised to either taxane or anthracycline based neoadjuvant chemotherapy...
January 1, 2017: Statistical Methods in Medical Research
https://www.readbyqxmd.com/read/28425058/finding-the-traces-of-behavioral-and-cognitive-processes-in-big-data-and-naturally-occurring-datasets
#10
Alexandra Paxton, Thomas L Griffiths
Today, people generate and store more data than ever before as they interact with both real and virtual environments. These digital traces of behavior and cognition offer cognitive scientists and psychologists an unprecedented opportunity to test theories outside the laboratory. Despite general excitement about big data and naturally occurring datasets among researchers, three "gaps" stand in the way of their wider adoption in theory-driven research: the imagination gap, the skills gap, and the culture gap...
April 19, 2017: Behavior Research Methods
https://www.readbyqxmd.com/read/28423784/using-statistics-and-data-mining-approaches-to-analyze-male-sexual-behaviors-and-use-of-erectile-dysfunction-drugs-based-on-large-questionnaire-data
#11
Zhi Qiao, Xiang Li, Haifeng Liu, Lei Zhang, Junyang Cao, Guotong Xie, Nan Qin, Hui Jiang, Haocheng Lin
The prevalence of erectile dysfunction (ED) has been extensively studied worldwide. Erectile dysfunction drugs has shown great efficacy in preventing male erectile dysfunction. In order to help doctors know drug taken preference of patients and better prescribe, it is crucial to analyze who actually take erectile dysfunction drugs and the relation between sexual behaviors and drug use. Existing clinical studies usually used descriptive statistics and regression analysis based on small volume of data. In this paper, based on big volume of data (48,630 questionnaires), we use data mining approaches besides statistics and regression analysis to comprehensively analyze the relation between male sexual behaviors and use of erectile dysfunction drugs for unravelling the characteristic of patients who take erectile dysfunction drugs...
2017: Studies in Health Technology and Informatics
https://www.readbyqxmd.com/read/28423778/developing-healthcare-data-analytics-apps-with-open-data-science-tools
#12
Bibo Hao, Wen Sun, Yiqin Yu, Guotong Xie
Recent advances in big data analytics provide more flexible, efficient, and open tools for researchers to gain insight from healthcare data. Whilst many tools require researchers to develop programs with programming languages like Python, R and so on, which is not a skill set grasped by many researchers in the healthcare data analytics area. To make data science more approachable, we explored existing tools and developed a practice that can help data scientists convert existing analytics pipelines to user-friendly analytics APPs with rich interactions and features of real-time analysis...
2017: Studies in Health Technology and Informatics
https://www.readbyqxmd.com/read/28423489/target-of-obstructive-sleep-apnea-syndrome-merge-lung-cancer-based-on-big-data-platform
#13
Lifeng Li, Jingli Lu, Wenhua Xue, Liping Wang, Yunkai Zhai, Zhirui Fan, Ge Wu, Feifei Fan, Jieyao Li, Chaoqi Zhang, Yi Zhang, Jie Zhao
Based on our hospital database, the incidence of lung cancer diagnoses was similar in obstructive sleep apnea Syndrome (OSAS) and hospital general population; among individual with a diagnosis of lung cancer, the presence of OSAS was associated with an increased risk for mortality. In the gene expression and network-level information, we revealed significant alterations of molecules related to HIF1 and metabolic pathways in the hypoxic-conditioned lung cancer cells. We also observed that GBE1 and HK2 are downstream of HIF1 pathway important in hypoxia-conditioned lung cancer cell...
March 28, 2017: Oncotarget
https://www.readbyqxmd.com/read/28422856/a-cross-sectional-evaluation-of-meditation-experience-on-electroencephalography-data-by-artificial-neural-network-and-support-vector-machine-classifiers
#14
Yu-Hao Lee, Ya-Ju Hsieh, Yung-Jong Shiah, Yu-Huei Lin, Chiao-Yun Chen, Yu-Chang Tyan, JiaCheng GengQiu, Chung-Yao Hsu, Sharon Chia-Ju Chen
To quantitate the meditation experience is a subjective and complex issue because it is confounded by many factors such as emotional state, method of meditation, and personal physical condition. In this study, we propose a strategy with a cross-sectional analysis to evaluate the meditation experience with 2 artificial intelligence techniques: artificial neural network and support vector machine. Within this analysis system, 3 features of the electroencephalography alpha spectrum and variant normalizing scaling are manipulated as the evaluating variables for the detection of accuracy...
April 2017: Medicine (Baltimore)
https://www.readbyqxmd.com/read/28419749/novel-19-f-mrs-%C3%AE-galactosidase-reporter-molecules-incorporated-nitrogen-mustard-analogues
#15
Zijun Yu, Jianru Zhao, Zhiming Hua, Xinping Wang, Xiaobo Wang, Hanqin Wang, Jian-Xin Yu
In this paper, we propose a novel molecular platform integrated fluorinated antitumor nitrogen mustards for (19) F-MRS assay of β-galactosidase (β-gal) activity. Following this idea, we have designed, synthesized and characterized 2-fluoro-4-[bis(2'-chloroethyl)amino]phenyl β-D-galactopyranoside 5, 2-fluoro-4-{bis[2'-O-(β-D-galactopyranosyl)ethyl]amino}phenyl β-D-galactopyranoside 8, 2-fluoro-4-{bis[[1''-(β-D-galactopyranosyl)-1'', 2'', 3''-triazol-4''-yl]methyl] amino}phenyl β-D-galactopyranoside 14 and 2-fluoro-4-{bis[[1''-(β-D-glucopyranosyl)-1'', 2'', 3''-triazol-4''-yl]methyl]amino}phenyl β-D-galactopyranoside 15 through glycosylation and click reaction strategies, and their structures were confirmed by NMR and HRMS or elemental analysis data...
April 16, 2017: Chemical Biology & Drug Design
https://www.readbyqxmd.com/read/28419457/subscales-of-the-barratt-impulsiveness-scale-differentially-relate-to-the-big-five-factors-of-personality
#16
Florian Lange, Adina Wagner, Astrid Müller, Frank Eggert
The place of impulsiveness in multidimensional personality frameworks is still unclear. In particular, no consensus has yet been reached with regard to the relation of impulsiveness to Neuroticism and Extraversion. We aim to contribute to a clearer understanding of these relationships by accounting for the multidimensional structure of impulsiveness. In three independent studies, we related the subscales of the Barratt Impulsiveness Scale (BIS) to the Big Five factors of personality. Study 1 investigated the associations between the BIS subscales and the Big Five factors as measured by the NEO Five-Factor Inventory (NEO-FFI) in a student sample (N = 113)...
April 18, 2017: Scandinavian Journal of Psychology
https://www.readbyqxmd.com/read/28418450/the-draw-backs-of-big-data
#17
John A Gonzales, Thomas M Lietman, Nisha R Acharya
No abstract text is available yet for this article.
April 13, 2017: JAMA Ophthalmology
https://www.readbyqxmd.com/read/28416998/prevalence-and-trends-of-pain-associated-with-chronic-diseases-and-personal-out-of-pocket-medical-expenditures-in-korea
#18
Sun Mi Shin
BACKGROUND: There have been few studies about pain using a big data. The purpose of this study was to identify the prevalence of pain, and trends of pain associated with chronic diseases and personal out-of-pocket medical expenditures over time. METHODS: Subjects were 58,151 individuals, using the Korea Health Panel from 2009 to 2013. Chi-square and multinomial logistic regression were conducted to identify the prevalence and odds ratios (ORs) of pain. Repeated measures ANOVA was used to find the trend over these 5 years...
April 2017: Korean Journal of Pain
https://www.readbyqxmd.com/read/28416851/-one-of-the-pitfalls-in-the-surgical-treatment-of-maisonneuve-fractures-a-case-report
#19
H Q Ji, F Zhou, Y Tian, Z S Zhang, Y Guo, Y Lv, Z W Yang, G J Hou
There exist controversies in the surgical treatment of maisonneuve injury with regard to reduction and fixation of syndesmosis and management of proximal fibular fracture. It is very important for the orthopaedic surgeons to learn more techniques and avoid pitfalls from clinical practice. We summarized the clinical data of 1 failed case, a 20-year-old girl with big body weight who underwent a primary surgery for the treatment of maisonneuve fracture with minimally invasive reduction and fixation of ankle syndesmosis and posterior malleolus and open reduction and internal fixation of medial malleolus, then a revision surgery for the treatment of iatrogenic syndesmotic malreduction with open reduction and re-stabilization of ankle syndesmosis supplemented with open reduction and internal fixation of proximal fibular facture...
April 18, 2017: Beijing da Xue Xue Bao. Yi Xue Ban, Journal of Peking University. Health Sciences
https://www.readbyqxmd.com/read/28415856/gene-and-variant-annotation-for-mendelian-disorders-in-the-era-of-advanced-sequencing-technologies
#20
Samya Chakravorty, Madhuri Hegde
Comprehensive annotations of genetic and noncoding regions and corresponding accurate variant classification for Mendelian diseases are the next big challenge in the new genomic era of personalized medicine. Progress in the development of faster and more accurate pipelines for genome annotation and variant classification will lead to the discovery of more novel disease associations and candidate therapeutic targets. This ultimately will facilitate better patient recruitment in clinical trials. In this review, we describe the trends in research at the intersection of basic and clinical genomics that aims to increase understanding of overall genomic complexity, complex inheritance patterns of disease, and patient-phenotype-specific genomic associations...
April 17, 2017: Annual Review of Genomics and Human Genetics
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