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https://www.readbyqxmd.com/read/28819805/diversity-and-evolution-of-leaf-anatomical-characters-in-taxaceae-s-l-fluorescence-microscopy-reveals-new-delimitating-characters
#1
Christoph Elpe, Patrick Knopf, Thomas Stützel, Christian Schulz
Taxaceae s.l. comprise six genera (including Cephalotaxus) and about 35 species; The present study aims to give new insights into the evolution of this family, especially into the phylogenetic position of Cephalotaxus. Moreover, only little is known about comparative leaf anatomy of this family and this study aims to expose and interpret the diversity and evolution of leaf anatomical characters and to assess their applicability to identify taxa at the generic and species level. A detailed phylogeny was reconstructed, using both maximum likelihood and Bayesian inference, with a combined dataset of four molecular markers from the plastid and nuclear genomes...
August 17, 2017: Journal of Plant Research
https://www.readbyqxmd.com/read/28819767/comparative-efficacy-of-drugs-for-preventing-acute-kidney-injury-after-cardiac-surgery-a-network-meta-analysis
#2
Xi Chen, Tianlun Huang, Xuan Cao, Gaosi Xu
BACKGROUND: Acute kidney injury (AKI) occurs frequently after cardiac surgery and has been associated with increased hospital length of stay, mortality, and costs. OBJECTIVE: We aimed to evaluate the efficacy of pharmacologic strategies for preventing AKI after cardiac surgery. METHODS: We searched PubMed, Embase, the Cochrane Central Register of Controlled Trials (CENTRAL) up to 6 May 2017 and the reference lists of relevant articles about trials...
August 17, 2017: American Journal of Cardiovascular Drugs: Drugs, Devices, and Other Interventions
https://www.readbyqxmd.com/read/28815602/efficacy-and-safety-of-amphotericin-b-formulations-a-network-meta-analysis-and-a-multicriteria-decision-analysis
#3
Fernanda S Tonin, Laiza M Steimbach, Helena H Borba, Andreia C Sanches, Astrid Wiens, Roberto Pontarolo, Fernando Fernandez-Llimos
OBJECTIVES: Despite its broad spectrum, conventional amphotericin B (AB) is associated with serious adverse events. Lipid-based formulations may offer safer options. We aimed to synthesize the evidence of efficacy and safety of AB formulations. METHODS: We performed a systematic review and network meta-analysis (NMA) to compare all available formulations: conventional AB; lipid complex or ABLC; colloidal dispersion or ABCD; liposomal or LAB; AB in Intralipid. Randomized controlled trials were searched in four databases...
August 17, 2017: Journal of Pharmacy and Pharmacology
https://www.readbyqxmd.com/read/28814743/nutritional-status-and-the-influence-of-tv-consumption-on-female-body-size-ideals-in-populations-recently-exposed-to-the-media
#4
Jean-Luc Jucker, Tracey Thornborrow, Ulrik Beierholm, D Michael Burt, Robert A Barton, Elizabeth H Evans, Mark A Jamieson, Martin J Tovée, Lynda G Boothroyd
Television consumption influences perceptions of attractive female body size. However, cross-cultural research examining media influence on body ideals is typically confounded by differences in the availability of reliable and diverse foodstuffs. 112 participants were recruited from 3 Nicaraguan villages that differed in television consumption and nutritional status, such that the contribution of both factors could be revealed. Participants completed a female figure preference task, reported their television consumption, and responded to several measures assessing nutritional status...
August 16, 2017: Scientific Reports
https://www.readbyqxmd.com/read/28813786/prediction-of-gait-events-in-walking-activities-with-a-bayesian-perception-system
#5
Uriel Martinez-Hernandez, Mohammed I Awad, Imran Mahmood, Abbas A Dehghani-Sanij
In this paper, a robust probabilistic formulation for prediction of gait events from human walking activities using wearable sensors is presented. This approach combines the output from a Bayesian perception system with observations from actions and decisions made over time. The perception system makes decisions about the current gait events, while observations from decisions and actions allow to predict the most probable gait event during walking activities. Furthermore, our proposed method is capable to evaluate the accuracy of its predictions, which permits to obtain a better performance and trade-off between accuracy and speed...
July 2017: IEEE ... International Conference on Rehabilitation Robotics: [proceedings]
https://www.readbyqxmd.com/read/28813431/skeleton-of-an-unusual-cat-sized-marsupial-relative-metatheria-marsupialiformes-from-the-middle-eocene-lutetian-44-43-million-years-ago-of-turkey
#6
A Murat Maga, Robin M D Beck
We describe a near-complete, three-dimensionally preserved skeleton of a metatherian (relative of modern marsupials) from the middle Eocene (Lutetian: 44-43 million years ago) Lülük member of the Uzunçarşıdere Formation, central Turkey. With an estimated body mass of 3-4 kg, about the size of a domestic cat (Felis catus) or spotted quoll (Dasyurus maculatus), it is an order of magnitude larger than the largest fossil metatherians previously known from the Cenozoic of the northern hemisphere. This new taxon is characterised by large, broad third premolars that probably represent adaptations for hard object feeding (durophagy), and its craniodental morphology suggests the capacity to generate high bite forces...
2017: PloS One
https://www.readbyqxmd.com/read/28811031/bayesian-approach-to-peak-deconvolution-and-library-search-for-high-resolution-gas-chromatography-mass-spectrometry
#7
A Barcaru, H G J Mol, M Tienstra, G Vivó-Truyols
A novel probabilistic Bayesian strategy is proposed to resolve highly coeluting peaks in high-resolution GC-MS (Orbitrap) data. Opposed to a deterministic approach, we propose to solve the problem probabilistically, using a complete pipeline. First, the retention time(s) for a (probabilistic) number of compounds for each mass channel are estimated. The statistical dependency between m/z channels was implied by including penalties in the model objective function. Second, Bayesian Information Criterion (BIC) is used as Occam's razor for the probabilistic assessment of the number of components...
August 29, 2017: Analytica Chimica Acta
https://www.readbyqxmd.com/read/28810831/application-of-a-bayesian-non-linear-model-hybrid-scheme-to-sequence-data-for-genomic-prediction-and-qtl-mapping
#8
Tingting Wang, Yi-Ping Phoebe Chen, Iona M MacLeod, Jennie E Pryce, Michael E Goddard, Ben J Hayes
BACKGROUND: Using whole genome sequence data might improve genomic prediction accuracy, when compared with high-density SNP arrays, and could lead to identification of casual mutations affecting complex traits. For some traits, the most accurate genomic predictions are achieved with non-linear Bayesian methods. However, as the number of variants and the size of the reference population increase, the computational time required to implement these Bayesian methods (typically with Monte Carlo Markov Chain sampling) becomes unfeasibly long...
August 15, 2017: BMC Genomics
https://www.readbyqxmd.com/read/28801251/modeling-correlated-noise-is-necessary-to-decode-uncertainty
#9
REVIEW
R S van Bergen, J F M Jehee
Brain decoding algorithms form an important part of the arsenal of analysis tools available to neuroscientists, allowing for a more detailed study of the kind of information represented in patterns of cortical activity. While most current decoding algorithms focus on estimating a single, most likely stimulus from the pattern of noisy fMRI responses, the presence of noise causes this estimate to be uncertain. This uncertainty in stimulus estimates is a potentially highly relevant aspect of cortical stimulus processing, and features prominently in Bayesian or probabilistic models of neural coding...
August 8, 2017: NeuroImage
https://www.readbyqxmd.com/read/28800759/quantitative-reproducibility-analysis-for-identifying-reproducible-targets-from-high-throughput-experiments
#10
Wenfei Zhang, Ying Liu, Mindy Zhang, Cheng Zhu, Yuefeng Lu
BACKGROUND: High-throughput assays are widely used in biological research to select potential targets. One single high-throughput experiment can efficiently study a large number of candidates simultaneously, but is subject to substantial variability. Therefore it is scientifically important to performance quantitative reproducibility analysis to identify reproducible targets with consistent and significant signals across replicate experiments. A few methods exist, but all have limitations...
August 11, 2017: BMC Systems Biology
https://www.readbyqxmd.com/read/28798016/bayesian-analysis-a-practical-approach-to-interpret-clinical-trials-and-create-clinical-practice-guidelines
#11
John A Bittl, Yulei He
Bayesian analysis is firmly grounded in the science of probability and has been increasingly supplementing or replacing traditional approaches based on P values. In this review, we present gradually more complex examples, along with programming code and data sets, to show how Bayesian analysis takes evidence from randomized clinical trials to update what is already known about specific treatments in cardiovascular medicine. In the example of revascularization choices for diabetic patients who have multivessel coronary artery disease, we combine the results of the FREEDOM trial (Future Revascularization Evaluation in Patients with Diabetes Mellitus: Optimal Management of Multivessel Disease) with prior probability distributions to show how strongly we should believe in the new Class I recommendation ("should be done") for a preference of bypass surgery over percutaneous coronary intervention...
August 2017: Circulation. Cardiovascular Quality and Outcomes
https://www.readbyqxmd.com/read/28797087/a-comparison-of-monte-carlo-based-bayesian-parameter-estimation-methods-for-stochastic-models-of-genetic-networks
#12
Inés P Mariño, Alexey Zaikin, Joaquín Míguez
We compare three state-of-the-art Bayesian inference methods for the estimation of the unknown parameters in a stochastic model of a genetic network. In particular, we introduce a stochastic version of the paradigmatic synthetic multicellular clock model proposed by Ullner et al., 2007. By introducing dynamical noise in the model and assuming that the partial observations of the system are contaminated by additive noise, we enable a principled mechanism to represent experimental uncertainties in the synthesis of the multicellular system and pave the way for the design of probabilistic methods for the estimation of any unknowns in the model...
2017: PloS One
https://www.readbyqxmd.com/read/28796778/a-data-science-based-standardized-gini-index-as-a-lorenz-dominance-preserving-measure-of-the-inequality-of-distributions
#13
Alfred Ultsch, Jörn Lötsch
The Gini index is a measure of the inequality of a distribution that can be derived from Lorenz curves. While commonly used in, e.g., economic research, it suffers from ambiguity via lack of Lorenz dominance preservation. Here, investigation of large sets of empirical distributions of incomes of the World's countries over several years indicated firstly, that the Gini indices are centered on a value of 33.33% corresponding to the Gini index of the uniform distribution and secondly, that the Lorenz curves of these distributions are consistent with Lorenz curves of log-normal distributions...
2017: PloS One
https://www.readbyqxmd.com/read/28794047/no-substantial-evidence-for-sexual-transmission-of-minority-hiv-drug-resistance-mutations-in-men-who-have-sex-with-men
#14
Antoine Chaillon, Masato Nakazawa, Joel O Wertheim, Susan J Little, Davey M Smith, Sanjay R Mehta, Sara Gianella
During primary HIV-infection, the presence of minority drug resistant mutations (DRM) may be a consequence of sexual transmission, de novo mutations or technical errors. Baseline blood samples were collected from 24 HIV-infected antiretroviral-naive, genetically- and epidemiologically- linked source and recipient partners, shortly after the recipient's estimated date of infection. An additional 32 longitudinal samples were available from 11 recipients. Deep-sequencing of HIV reverse transcriptase (RT) was performed (Roche/454) and screened for nucleoside and non-nucleoside RT inhibitor DRM...
August 9, 2017: Journal of Virology
https://www.readbyqxmd.com/read/28793339/modeling-mirna-mrna-interactions-that-cause-phenotypic-abnormality-in-breast-cancer-patients
#15
Sanghoon Lee, Xia Jiang
BACKGROUND: The dysregulation of microRNAs (miRNAs) alters expression level of pro-oncogenic or tumor suppressive mRNAs in breast cancer, and in the long run, causes multiple biological abnormalities. Identification of such interactions of miRNA-mRNA requires integrative analysis of miRNA-mRNA expression profile data. However, current approaches have limitations to consider the regulatory relationship between miRNAs and mRNAs and to implicate the relationship with phenotypic abnormality and cancer pathogenesis...
2017: PloS One
https://www.readbyqxmd.com/read/28783073/an-rfid-indoor-positioning-algorithm-based-on-bayesian-probability-and-k-nearest-neighbor
#16
He Xu, Ye Ding, Peng Li, Ruchuan Wang, Yizhu Li
The Global Positioning System (GPS) is widely used in outdoor environmental positioning. However, GPS cannot support indoor positioning because there is no signal for positioning in an indoor environment. Nowadays, there are many situations which require indoor positioning, such as searching for a book in a library, looking for luggage in an airport, emergence navigation for fire alarms, robot location, etc. Many technologies, such as ultrasonic, sensors, Bluetooth, WiFi, magnetic field, Radio Frequency Identification (RFID), etc...
August 5, 2017: Sensors
https://www.readbyqxmd.com/read/28780727/interventions-for-humeral-shaft-fractures-mixed-treatment-comparisons-of-clinical-trials
#17
Y Zhao, J Wang, W Yao, Q Cai, Y Wang, W Yuan, S Gao
We designed a study to compare the efficacy of five main therapeutic options, including external fixation, open reduction and plate osteosynthesis (ORPO), minimally invasive plate osteosynthesis (MIPO), dynamic compression plate (DCP), and intramedullary nail (IMN) in treating humeral shaft fractures. Our results indicated that MIPO and IMN were recommended as the optimal treatments for clinical use. PURPOSE: Nowadays, five main therapeutic options are used in treating humeral shaft fractures: external fixation, open reduction and plate osteosynthesis (ORPO), minimally invasive plate osteosynthesis (MIPO), dynamic compression plate (DCP), and intramedullary nail (IMN)...
August 5, 2017: Osteoporosis International
https://www.readbyqxmd.com/read/28774064/a-bayesian-approach-for-sensor-optimisation-in-impact-identification
#18
Vincenzo Mallardo, Zahra Sharif Khodaei, Ferri M H Aliabadi
This paper presents a Bayesian approach for optimizing the position of sensors aimed at impact identification in composite structures under operational conditions. The uncertainty in the sensor data has been represented by statistical distributions of the recorded signals. An optimisation strategy based on the genetic algorithm is proposed to find the best sensor combination aimed at locating impacts on composite structures. A Bayesian-based objective function is adopted in the optimisation procedure as an indicator of the performance of meta-models developed for different sensor combinations to locate various impact events...
November 22, 2016: Materials
https://www.readbyqxmd.com/read/28772189/learning-abstract-visual-concepts-via-probabilistic-program-induction-in-a-language-of-thought
#19
Matthew C Overlan, Robert A Jacobs, Steven T Piantadosi
The ability to learn abstract concepts is a powerful component of human cognition. It has been argued that variable binding is the key element enabling this ability, but the computational aspects of variable binding remain poorly understood. Here, we address this shortcoming by formalizing the Hierarchical Language of Thought (HLOT) model of rule learning. Given a set of data items, the model uses Bayesian inference to infer a probability distribution over stochastic programs that implement variable binding...
July 31, 2017: Cognition
https://www.readbyqxmd.com/read/28771807/combination-adjuvant-chemotherapy-with-targeted-drugs-for-treatment-of-colorectal-cancer-a-network-meta-analysis
#20
Jinghui Wang, Li Luo, Dingxue Wang, Bin Guo, Jun Li, Zhu Yang, Dongxin Tang
BACKGROUND: Colorectal cancer (CRC) is one of the most fatal diseases in the world. The efficacy of present chemotherapy treatments are limited and the addition of targeted drugs have been put into practice. However, the preferred treatments among adjuvant chemotherapies still remain controversial and uncertain. OBJECTIVE: To evaluate the efficacy of different adjuvant chemotherapies combined with or without targeted drugs to determine the optimal treatment for patients with CRC in clinical practice...
August 3, 2017: Journal of Cellular Biochemistry
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