Results 61 to 70 of about 256,585 (269)

TECHNOLOGY OF TECHNICAL TRAINING OF THE ATHLETE-DANCER IN ENSEMBLE PERFORMANCE FORMATION

Вестник Тамбовского университета. Серия: Гуманитарные науки, 2017
The experimental methods of technical preparation improvement of athlete-dancer in ensemble performance formation are considered. The notion “technical preparedness” of athlete-dancer - the degree of acquirement of the system of sport ball dance ...
T. S. Zinovieva, M. N. Yureva
doaj   +1 more source

Ensemble Feed-Forward Neural Network and Support Vector Machine for Prediction of Multiclass Malaria Infection

Journal of ICT, 2021
Globally, recent research are focused on developing appropriate and robust algorithms to provide a robust healthcare system that is versatile and accurate.
Opeyemi Aderiike Abisoye, Rasheed Gbenga Jimoh, Muhammed Uthman Mubashir Babatunde Uthman   +2 more
doaj   +1 more source

Ensembl 2011 [PDF]

Nucleic Acids Research, 2010
The Ensembl project (http://www.ensembl.org) seeks to enable genomic science by providing high quality, integrated annotation on chordate and selected eukaryotic genomes within a consistent and accessible infrastructure. All supported species include comprehensive, evidence-based gene annotations and a selected set of genomes includes additional data ...
Flicek, Paul, Amode, M Ridwan, Barrell, Daniel, Beal, Kathryn, Brent, Simon, Chen, Yuan, Clapham, Peter, Coates, Guy, Fairley, Susan, Fitzgerald, Stephen, Gordon, Leo, Hendrix, Maurice, Hourlier, Thibaut, Johnson, Nathan, Kähäri, Andreas, Keefe, Damian, Keenan, Stephen, Kinsella, Rhoda, Kokocinski, Felix, Kulesha, Eugene, Larsson, Pontus, Longden, Ian, McLaren, William, Overduin, Bert, Pritchard, Bethan, Riat, Harpreet Singh, Rios, Daniel, Ritchie, Graham R S, Ruffier, Magali, Schuster, Michael, Sobral, Daniel, Spudich, Giulietta, Tang, Y Amy, Trevanion, Stephen, Vandrovcova, Jana, Vilella, Albert J, White, Simon, Wilder, Steven P, Zadissa, Amonida, Zamora, Jorge, Aken, Bronwen L, Birney, Ewan, Cunningham, Fiona, Dunham, Ian, Durbin, Richard, Fernández-Suarez, Xosé M, Herrero, Javier, Hubbard, Tim J P, Parker, Anne, Proctor, Glenn, Vogel, Jan, Searle, Stephen M J   +51 more
openaire   +3 more sources

A light‐triggered Time‐Resolved X‐ray Solution Scattering (TR‐XSS) workflow with application to protein conformational dynamics

FEBS Open Bio, EarlyView.
Time‐resolved X‐ray solution scattering captures how proteins change shape in real time under near‐native conditions. This article presents a practical workflow for light‐triggered TR‐XSS experiments, from data collection to structural refinement. Using a calcium‐transporting membrane protein as an example, the approach can be broadly applied to study ...
Fatemeh Sabzian‐Molaei, Fredrik Orädd, Konstantinos Magkakis, Magnus Andersson   +3 more
wiley   +1 more source

Teachers’ Views: Using Body Music in Teaching and Learning Primary School Subjects

Center for Educational Policy Studies Journal
The paper presents research conducted among Turkish primary school classroom teachers regarding their personal and professional views about creating and using KeKeÇa body music games as educational tools.
Muzaffer Özgü Bulut, Ayşe Akarsu, Ersoy Karabay   +2 more
doaj   +1 more source

Applicability of mitotic figure counting by deep learning: a development and pan‐cancer validation study

FEBS Open Bio, EarlyView.
In this study, we developed a deep learning method for mitotic figure counting in H&E‐stained whole‐slide images and evaluated its prognostic impact in 13 external validation cohorts from seven different cancer types. Patients with more mitotic figures per mm2 had significantly worse patient outcome in all the studied cancer types except colorectal ...
Joakim Kalsnes, Maria X. Isaksen, Frida Julbø, Manohar Pradhan, Andreas Kleppe, Sepp De Raedt, Ole‐Johan Skrede, Turid Torheim, John Arne Nesheim, Hans Martin Mohn, Hanne A. Askautrud, Karolina Cyll, Wanja Kildal, Emma Rewcastle, Melinda Lillesand, Vebjørn Kvikstad, Emiel Janssen, Robert Jones, Odd Terje Brustugun, Bjørn Brennhovd, Erik Skaaheim Haug, Lill‐Tove Rasmussen Busund, Elin Richardsen, Sigve Andersen, Tom Dønnem, Kristina Lindemann, Gunnar Kristensen, Neil A. Shepherd, Marco Novelli, Knut Liestøl, David Kerr, Håvard E. Danielsen, Tarjei S. Hveem   +32 more
wiley   +1 more source

Single‐molecule DNA flow‐stretch assays for high‐throughput DNA–protein interaction studies

FEBS Open Bio, EarlyView.
We describe an optimised single‐molecule DNA flow‐stretch assay that visualises DNA–protein interactions in real time. Linear DNA fragments are tethered to a surface and stretched by buffer flow for fluorescence imaging. Using λ and φX174 DNA, this protocol enhances reproducibility and accessibility, providing a versatile approach for studying diverse ...
Ayush Kumar Ganguli, Mohammad Nour Alsamsam, Ugnė Bagdonaitė, Van Truc Vu, Chun‐Jen Huang, Polina Kuzhir, Mindaugas Zaremba, Aurimas Kopūstas, Marijonas Tutkus   +8 more
wiley   +1 more source

A Multimodal Facial Emotion Recognition Framework through the Fusion of Speech with Visible and Infrared Images

Multimodal Technologies and Interaction, 2020
The exigency of emotion recognition is pushing the envelope for meticulous strategies of discerning actual emotions through the use of superior multimodal techniques.
Mohammad Faridul Haque Siddiqui, Ahmad Y. Javaid   +1 more
doaj   +1 more source

On the variability of projected tropical cyclone genesis in GCM ensembles [PDF]

Tellus: Series A, Dynamic Meteorology and Oceanography, 2012
The development of projections for changes in the genesis of tropical cyclones (TCs) for a changed climate is explored in this article using outputs from the Coupled Model Intercomparison Project: Phase 3 (CMIP3) models. In this study, we explore how the
M. Chattopadhyay, D. Abbs
doaj   +1 more source

Analysing the significance of small conformational changes and low occupancy states in serial crystallographic data

FEBS Open Bio, EarlyView.
This protocol paper outlines methods to establish the success of a time‐resolved serial crystallographic experiment, by means of statistical analysis of timepoint data in reciprocal space and models in real space. We show how to amplify the signal from excited states to visualise structural changes in successful experiments.
Jake Hill, Yelyzaveta Pulnova, Elke De Zitter, Helen M. Ginn, Briony A. Yorke   +4 more
wiley   +1 more source