Results 81 to 90 of about 5,661,692 (304)

Normalised root mean squared error (NRMSE) for shank, back and thigh for all the young healthy (YH) participants.

, 2022
Normalised root mean squared error (NRMSE) for shank, back and thigh for all the young healthy (YH) participants.
Emma Villeneuve (6404330), Balazs Janko (13977751), Rachel King (375111), Ann Ashburn (3419639), R. Simon Sherratt (13977754), William Holderbaum (13977757), William S. Harwin (13977760), Maitreyee Wairagkar (4915600), Dorit Kunkel (3419618), Malcolm Burnett (3419633), Veena Agarwal (775612)   +10 more
core   +1 more source

Structural studies and functional engineering of NanX: an anhydro‐sialic acid transporter from Escherichia coli

FEBS Open Bio, EarlyView.
Biophysical characterisation shows that NanX, a membrane transport protein from the major facilitator superfamily (MFS), forms both monomers and dimers after purification. AlphaFold modelling and substrate docking provide information on residues likely involved in substrate recognition for NanX and another MFS member, NanT.
Michael C. Newton‐Vesty, Kelsi R. Hall, Zachary D. Tillett, Liam S. Turk, James S. Davies, Michael J. Currie, Hamish G. Brown, Sepideh Valimehr, Peter D. Mace, Andrew E. Whitten, Santosh Panjikar, Eric Hanssen, Rachel A. North, Renwick C.J. Dobson   +13 more
wiley   +1 more source

Using artificial intelligence for wind speed prediction [PDF]

E3S Web of Conferences
Accurate wind speed prediction is critical for renewable energy management, agriculture, and weather forecasting. This study investigates the use of machine learning techniques for predicting daily average wind speed using meteorological features ...
Omari Asem, Alazzam Azmi, Badreddine Said, Abu Sharkh Hani, Alazzam Yasmeen, Bani Mustafa Ahmed, Al Alawi Roudha   +6 more
doaj   +1 more source

Heterotropic regulation and negative homotropic cooperativity

FEBS Open Bio, EarlyView.
We identified a structural module common to some proteins that couple negative cooperativity with heterotropic regulation, two features that rarely coexist. These proteins are ring‐like and present an ordered asymmetry whereby noncontacting subunits are symmetric, and their tertiary structure differs from that of contacting subunits.
Veronica Morea, Francesco Angelucci, Federica Arnesano, Gianmarco Pascarella, Patrizio Di Micco, Andrea Bellelli   +5 more
wiley   +1 more source

Quantum root-mean-square error and measurement uncertainty relations

, 2013
This second version has been substantially edited to ensure a balanced comparison of the two proposed quantum generalizations of the Gauss rms error concept.
Busch, Paul, Lahti, Pekka, Werner, Reinhard F   +2 more
openaire   +2 more sources

Foveation-based content adaptive root mean squared error for video quality assessment

Multimedia Tools and Applications, 2017
When the video is compressed and transmitted over heterogeneous networks, it is necessary to ensure the satisfying quality for the end user. Since human observers are the end users of video applications, it is very important that the human visual system (HVS) characteristics are taken into account during the video quality evaluation.
Mario Vranjes, Snjezana Rimac-Drlje, Denis Vranjes   +2 more
openaire   +4 more sources

Root mean-squared error (RMSE) and bias of estimators of the sizes N of simulated populations.

, 2022
Root mean-squared error (RMSE) and bias of estimators of the sizes N of simulated populations.
Steve Gutreuter (731010)
core   +1 more source

Comparative assessment of crystallographic and cryo‐EM models in the Protein Data Bank

FEBS Open Bio, EarlyView.
Raw data obtained by X‐ray crystallography or cryo‐EM result in experimental maps, ultimately fitted by atomic models. Although the physical principles are different, the final results can be viewed, compared, and evaluated in the same way. With cryogenic electron microscopy (cryo‐EM) on track to surpass X‐ray crystallography as the preferred method ...
Alexander Wlodawer, Pawel Rubach, Zbigniew Dauter, Wojciech Dec, Dariusz Brzezinski, Marta Kulik, Wladek Minor, Mariusz Jaskolski   +7 more
wiley   +1 more source

Machine Learning and Shapley Additive Explanations Value Integration for Predicting the Prognostic of Anti-N-Methyl-D-Aspartate Receptor Encephalitis: Model Development and Evaluation Study

JMIR Medical Informatics
BackgroundAnti-N-methyl-D-aspartate receptor (NMDAR) encephalitis is a rare disease with no accurate prognostic tools to predict the prognosis of patients. ObjectiveThis study aims to develop an interpretable machine learning model using real-
Jia Wang, Haotian Wu, Han Cai, YingXiang Wang, Jian Gu   +4 more
doaj   +1 more source

A fixed count sampling estimator of stem density based on a survival function

Journal of Forest Science, 2015
In fixed count sampling (FCS) a fixed number (k) of observations is made at n randomly selected sample locations. For estimation of stem density, the distance from a random sample location to the k nearest trees was measured.
S. Magnussen
doaj   +1 more source