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Cayque Brietzke, Ricardo Yukio Asano, Felipe De Russi de Lima, Fabiano Aparecido Pinheiro, Franco-Alvarenga, Carlos Ugrinowitsch, Flávio Oliveira Pires
BACKGROUND: Ergogenic effects of caffeine (CAF) ingestion have been observed in different cycling exercise modes, and have been associated with alterations in ratings of perceived exertion (RPE). However, there has been little investigation of maximal oxygen uptake (VO2MAX) test outcomes. AIM: This study aimed to verify whether CAF may reduce RPE, thereby improving maximal incremental test (MIT) outcomes such as VO2MAX, time to exhaustion and peak power output (WPEAK)...
December 2017: Nutrition and Health
P P Muhammed Shanir, Kashif Ahmad Khan, Yusuf Uzzaman Khan, Omar Farooq, Hojjat Adeli
Epileptic neurological disorder of the brain is widely diagnosed using the electroencephalography (EEG) technique. EEG signals are nonstationary in nature and show abnormal neural activity during the ictal period. Seizures can be identified by analyzing and obtaining features of EEG signal that can detect these abnormal activities. The present work proposes a novel morphological feature extraction technique based on the local binary pattern (LBP) operator. LBP provides a unique decimal value to a sample point by weighing the binary outcomes after thresholding the neighboring samples with the present sample point...
December 1, 2017: Clinical EEG and Neuroscience: Official Journal of the EEG and Clinical Neuroscience Society (ENCS)
Thoru Pederson
Convened at Cold Spring Harbor Laboratory on October 22-25, 2017, "40 Years of mRNA Splicing: From Discovery to Therapeutics" was one in a series of meetings held by the Laboratory's Genentech Center for the History of Molecular Biology and Biotechnology ( of Science/), organized by Mila Pollock, Executive Director of Library and Archives and on this occasion co-organized by Phil Sharp (MIT) and Joan Steitz (Yale) (Fig. 1). In coming up with a title for this report, I couldn't resist punning that of one of the two seminal papers (Berget et al...
December 5, 2017: RNA
John C Morgan, Julie A Kurek, Jennie L Davis, Kapil D Sethi
Background: Medication-induced tremor (MIT) is common in clinical practice and there are many medications/drugs that can cause or exacerbate tremors. MIT typically occurs by enhancement of physiological tremor (EPT), but not all drugs cause tremor in this way. In this manuscript, we review how some common examples of MIT have informed us about the pathophysiology of tremor. Methods: We performed a PubMed literature search for published articles dealing with MIT and attempted to identify articles that especially dealt with the medication's mechanism of inducing tremor...
2017: Tremor and Other Hyperkinetic Movements
Ji-Hoon Kim, Young-Seok Cho, Ji-Su Park, Won-Jin Kim
[Purpose] To investigate the effect of motor imagery training and electromyogram-triggered neuromuscular electrical stimulation (MIT-EMG NMES) on the lower extremity function of stroke patients. [Subjects and Methods] This study recruited eight patients with hemiplegia due to stroke. All patients received MIT-EMG NMES for 20 min daily, 5 days per week for 4 weeks. Lower extremity function were assessed using the timed up-and-go (TUG) and 10-meter walk (10MW) tests. [Results] The results of TUG test decreased significantly from 20...
November 2017: Journal of Physical Therapy Science
Lauren J McIver, Galeb Abu-Ali, Eric A Franzosa, Randall Schwager, Xochitl C Morgan, Levi Waldron, Nicola Segata, Curtis Huttenhower
Summary: bioBakery is a meta'omic analysis environment and collection of individual software tools with the capacity to process raw shotgun sequencing data into actionable microbial community feature profiles, summary reports, and publication-ready figures. It includes a collection of pre-configured analysis modules also joined into workflows for reproducibility. Availability: bioBakery ( is publicly available for local installation as individual modules and as a virtual machine image...
November 29, 2017: Bioinformatics
T Sunil Kumar, Vivek Kanhangad
In this paper, we propose a novel method for detecting electrocardiographic (ECG) changes in partial epileptic patients using a composite feature set. At the core of our approach is a local binary pattern (LBP) based feature representation containing a set of statistical features derived from the distribution of LBPs of the ECG signal. In order to enhance the discriminating power, a set of statistical features are also extracted from the original ECG signal. The composite feature is then generated by combining the two homogeneous feature sets...
November 30, 2017: Australasian Physical & Engineering Sciences in Medicine
Ahmed Faeq Hussein, Shaiful Jahari Hashim, Ahmad Fazli Abdul Aziz, Fakhrul Zaman Rokhani, Wan Azizun Wan Adnan
The non-stationary and multi-frequency nature of biomedical signal activities makes the use of time-frequency distributions (TFDs) for analysis inevitable. Time-frequency analysis provides simultaneous interpretations in both time and frequency domain enabling comprehensive explanation, presentation and interpretation of electrocardiogram (ECG) signals. The diversity of TFDs and specific properties for each type show the need to determine the best TFD for ECG analysis. In this study, a performance evaluation of five TFDs in term of ECG abnormality detection is presented...
November 29, 2017: Journal of Medical Systems
Jonathan Araujo Queiroz, Alfredo Junior, Fausto Lucena, Allan Kardec Barros
BACKGROUND: The electrocardiogram (ECG) is one of the most non-invasive techniques to give support to the atrial fibrillation (AF) diagnosis. Several authors use the temporal difference between two consecutive R waves, a method known as RR interval, to perform the AF diagnosis. However, RR interval-based analysis does not detect distortions on the other ECG waves. PURPOSE: Thus, the present work proposes a diagnostic decision support systems for AF based on higher order spectrum analysis of the voltage variation on the ECG...
October 27, 2017: Journal of Electrocardiology
Yang Xu, Mingzhang Luo, Tao Li, Gangbing Song
A novel electrocardiogram (ECG) signal de-noising and baseline wander correction method based on complete ensemble empirical mode decomposition with adaptive noise (CEEMDAN) and wavelet threshold is proposed. Although CEEMDAN is based on empirical mode decomposition (EMD), it represents a significant improvement of the original EMD by overcoming the mode-mixing problem. However, there has been no previous study on using CEEMDAN to de-noise ECG signals, to the authors' best knowledge. In the proposed method, the original noisy ECG signal is decomposed into a series of intrinsic mode functions (IMFs) sorted from high to low frequency by CEEMDAN...
November 28, 2017: Sensors
Jonathan Barnoud, Hubert Santuz, Pierrick Craveur, Agnel Praveen Joseph, Vincent Jallu, Alexandre G de Brevern, Pierre Poulain
This paper describes the development and application of a suite of tools, called PBxplore, to analyze the dynamics and deformability of protein structures using Protein Blocks (PBs). Proteins are highly dynamic macromolecules, and a classical way to analyze their inherent flexibility is to perform molecular dynamics simulations. The advantage of using small structural prototypes such as PBs is to give a good approximation of the local structure of the protein backbone. More importantly, by reducing the conformational complexity of protein structures, PBs allow analysis of local protein deformability which cannot be done with other methods and had been used efficiently in different applications...
2017: PeerJ
Ruolin Liu, Julie Dickerson
We propose a novel method and software tool, Strawberry, for transcript reconstruction and quantification from RNA-Seq data under the guidance of genome alignment and independent of gene annotation. Strawberry consists of two modules: assembly and quantification. The novelty of Strawberry is that the two modules use different optimization frameworks but utilize the same data graph structure, which allows a highly efficient, expandable and accurate algorithm for dealing large data. The assembly module parses aligned reads into splicing graphs, and uses network flow algorithms to select the most likely transcripts...
November 27, 2017: PLoS Computational Biology
Tetiana V Slusar, Jin-Cheol Cho, Hyang-Rok Lee, Ji-Wan Kim, Seung Jo Yoo, Jean-Yves Bigot, Ki-Ju Yee, Hyun-Tak Kim
The characteristic of strongly correlated materials is the Mott transition between metal and insulator (MIT or IMT) in the same crystalline structure, indicating the presence of a gap formed by the Coulomb interaction between carriers. The physics of the transition needs to be revealed. Using VO2, as a model material, we observe the emergence of a metallic chain in the intermediate insulating monoclinic structure (M2 phase) of epitaxial strained films, proving the Mott transition involving the breakdown of the critical Coulomb interaction...
November 22, 2017: Scientific Reports
Michael Schmittel, Indrajit Paul, Abir Goswami, Nikita Mittal
Drei supramolekulare Gleitsysteme DS1-DS3 wurden als Zwei-Komponenten-Aggregate aus den Gleitern S1-S3 und der Plattform D mit ihren drei Zinkporphyrin-(ZnPor) Bindungsstellen erzeugt. Die Anbindung des zweifüßigen Gleiters an die Plattform variiert mit der Donorqualität und sterischen Hinderung an den Pyridin/Pyrimidin (pyr)-Gleitfüßen. Entsprechend bewegen sich die Gleiter mit unterschiedlichen Geschwindigkeiten über die drei Zinkporphyrine der Plattform: bei Raumtemperatur mit 32.2, 220 und 440 kHz...
November 22, 2017: Angewandte Chemie
Mit D Shah, Anil V Parwani, Debra L Zynger
Objectives: To determine whether pathologists in a tertiary care institution vary in diagnosis and immunohistochemical stain usage in prostate biopsy specimens. Methods: Men who underwent prostate needle biopsies between 2008 and 2013 were included. Results: In total, 1,777 prostate biopsy specimens diagnosed by nine pathologists showed variation in diagnostic reporting (atypical small acinar proliferation, 2.0%-8.0%; high-grade prostatic intraepithelial neoplasia, 2...
November 20, 2017: American Journal of Clinical Pathology
Riëtta Oberink, Saskia M Boom, Nynke van Dijk, Mechteld R M Visser
BACKGROUND: The Motivational Interviewing target Scheme (MITS) is an instrument to assess competency in Motivational Interviewing (MI) and can be used to assess MI in long and brief consultations. In this qualitative study we examined two sources of the Unified Model of Validity, the current standard of assessment validation, in the context of General Practice. We collected evidence concerning response process validity and content validity of the MITS in general practice. Furthermore, we investigated its feasibility...
November 21, 2017: BMC Medical Education
Rhys A Farrer
BACKGROUND: Ortholog prediction and synteny visualization across whole genomes are valuable methods for detecting and representing a range of evolutionary processes such as genome expansion, chromosomal rearrangement, and chromosomal translocation. Few standalone methods are currently available to visualize synteny across any number of annotated genomes. RESULTS: Here, I present a Synteny Imaging tool (Synima) written in Perl, which uses the graphical features of R...
November 21, 2017: BMC Bioinformatics
Chia-Chien Wu, Jeremy M Wolfe
There is an ongoing debate as to whether people track multiple moving objects in a serial fashion or with a parallel mechanism. One recent study compared eye movements when observers tracked identical objects (Multiple Object Tracking-MOT task) versus when they tracked the identities of different objects (Multiple Identity Tracking-MIT task). Distinct eye-movement patterns were found and attributed to two separate tracking systems. However, the same results could be caused by differences in the stimuli viewed during tracking...
November 20, 2017: Attention, Perception & Psychophysics
Amadís Pagès, Ivan Dotu, Joan Pallarès-Albanell, Eulàlia Martí, Roderic Guigó, Eduardo Eyras
Small non-coding RNAs (sncRNAs) are highly abundant molecules that regulate essential cellular processes and are classified according to sequence and structure. Here we argue that read profiles from size-selected RNA sequencing capture the post-transcriptional processing specific to each RNA family, thereby providing functional information independently of sequence and structure. We developed SeRPeNT, a new computational method that exploits reproducibility across replicates and uses dynamic time-warping and density-based clustering algorithms to identify, characterize and compare sncRNAs by harnessing the power of read profiles...
November 16, 2017: Nucleic Acids Research
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