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Showing 229 to 232 of 232 entries
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Can motivational interviewing for dental settings be taught online? Results of an uncontrolled interventional trial.

European journal of dental education : official journal of the Association for Dental Education in Europe

Fuhrmann S, Kitzmann J, Isailov-Schöchlin M, Vach K, Fabry G, Schulz C, Jähne A, Ratka-Krüger P, Woelber JP.
PMID: 34009671
Eur J Dent Educ. 2021 May 19; doi: 10.1111/eje.12698. Epub 2021 May 19.

BACKGROUND: Motivational interviewing (MI) is an evidence-based method of promoting oral healthcare behaviour. Conventional training of MI is a time-consuming and costly aspect in the dental curriculum. Therefore, the aim of this study was to evaluate the effectiveness and...

Optimal Control of Mathematical modeling of the spread of the COVID-19 pandemic with highlighting the negative impact of quarantine on diabetics people with Cost-effectiveness.

Chaos, solitons, and fractals

Kouidere A, Youssoufi LE, Ferjouchia H, Balatif O, Rachik M.
PMID: 33613000
Chaos Solitons Fractals. 2021 Apr;145:110777. doi: 10.1016/j.chaos.2021.110777. Epub 2021 Feb 12.

As of November 14, 2020, the number of people infected with the COVID-19 disease has reached more than 54 million people worldwide and more than 1323196 people have died, according to the World Health Organization. This requires many countries...

Integrated genome and tissue engineering enables screening of cancer vulnerabilities in physiologically relevant perfusable ex vivo cultures.

Biomaterials

Hu M, Lei XY, Larson JD, McAlonis M, Ford K, McDonald D, Mach K, Rusert JM, Wechsler-Reya RJ, Mali P.
PMID: 34890975
Biomaterials. 2021 Dec 02;280:121276. doi: 10.1016/j.biomaterials.2021.121276. Epub 2021 Dec 02.

Genetic screens are powerful tools for both resolving biological function and identifying potential therapeutic targets, but require physiologically accurate systems to glean biologically useful information. Here, we enable genetic screens in physiologically relevant ex vivo cancer tissue models by...

Symplectic Gaussian process regression of maps in Hamiltonian systems.

Chaos (Woodbury, N.Y.)

Rath K, Albert CG, Bischl B, von Toussaint U.
PMID: 34240952
Chaos. 2021 May;31(5):053121. doi: 10.1063/5.0048129.

We present an approach to construct structure-preserving emulators for Hamiltonian flow maps and Poincaré maps based directly on orbit data. Intended applications are in moderate-dimensional systems, in particular, long-term tracing of fast charged particles in accelerators and magnetic plasma...

Showing 229 to 232 of 232 entries