Introduction
The spread of media multitasking in the modern world determines researcher’s interest in studying the neurocognitive development features of children who strive to act in this mode since ...childhood (Minear et al., 2013; Uncapher et al., 2016).
Objectives
The aim is to study neuropsychological profiles of children and adolescents with single-tasking and multitasking.
Methods
Quasi-experiment was conducted among 154 children of three age groups (7-10; 11-13; 14-16) and included simultaneous tasks performance on a computer and a smartphone. Neuropsychological indicators were studied (Akhutina, 2016): programming and control, serial organization, visual and auditory-speech memory, neurodynamics. The behavior social modeling and executive functions were studied with WISC (Information and Comprehension subtests) and Dots-test (Akhutina et al., 2017). The multitaskers groups were identified according to the number of returns to tasks: single-taskers (42.9%), single-taskers with multitasking elements (1-2 returns) (40.9%), multitaskers (3 and more returns) (16.2%).
Results
The number of multitaskers increased by adolescence. In children aged 7-10 single-taskers were more productive than multitaskers in programming, switchability, the volume of auditory-speech and visual memory, neurodynamics. They performed Dots-test faster. At the age of 11-13, multitaskers had higher scores on the Comprehension subtest and higher verbal activity when composing a story. Regulation and switchability errors in multitaskers aged 11-13 were episodic. At the age of 14-16 multitaskers were more productive in some parameters of switchability.
Conclusions
In primary school single-taskers have a neurocognitive advantage, but by adolescence differences are leveled, and in some parameters multitaskers are ahead of single-taskers. The study was funded by RFBR, project No. 19-29-14181.
Disclosure
The reported study was funded by RFBR, project No. 19-29-14181.
Introduction
Video games are becoming increasingly popular among children (Lenhart et al., 2015). There is a lack of research that studies the impact of online games on children’s neurocognitive ...functions.
Objectives
The aim is to study neurocognitive functions in children and adolescents playing and not playing online games.
Methods
The sample comprises 100 children aged 5-10 years and 100 adolescents aged 11-16 years. The following neuropsychological indexes (Akhutina, 2016) are studied: programming and control, serial organization of movements, auditory and visual memory, left and right hemispheric functions, and neurodynamic component of mental activity. Wexler’s Awareness and Comprehension Tests were used to study verbal functions. The game activity are measured by social-psychological questionnaire.
Results
Children who play online games have a serial organization of movements (smooth switching from one component of the program to another) (F=14,46, p<0,01) and a neurodynamic component (F=13,07, p<0,01), which are worse developed than children who do not play online games. Adolescents playing online games have better analytical (left hemispheric) functions (F=13,37, p<0,01), mathematical abilities (F=3,47, p=0,063), and Awareness subtest (F=3,47, p=0,065) scores than nonplaying adolescents.
Conclusions
Children playing online games have lower results on neurocognitive functions directly related to motor development. Teenagers playing online games had higher scores in mathematical ability, analytical functions and awareness. The results indicate the need to develop an optimal time for digital gaming activities depending on the age of the child. The reported study was funded by RFBR, project No. 19-29-14181.
Conflict of interest
The reported study was funded by RFBR, project 19-29-14181.
Abstract
Supernova neutrino detection in neutrino and dark matter
experiments is usually implemented as a real-time trigger system
based on counting neutrino interactions within a moving time
window. ...The sensitivity reach of such experiments can be improved by
taking into account the time profile of the expected signal. We
propose a shape analysis of the incoming experimental data based on
a log likelihood ratio variable containing the assumed signal
shape. This approach also allows a combination of potential
supernova signals in different detectors for a further sensitivity
boost. The method is tested on the NOvA detectors to study their
combined sensitivity to the core-collapse supernova signal, and also
on KamLAND, Borexino and SK-Gd as potential detectors of
presupernova neutrinos. Using the shape analysis enhances the signal
significance for supernova detection and prediction, as well as the
sensitivity reach of the experiment. It also extends the supernova
prediction time when applied to the presupernova neutrino signal
detection. Enhancements achieved with the shape analysis persist
even in the case when the actual signal doesn't match the expected
signal model.
We present an improved measurement of the carbon-nitrogen-oxygen (CNO) solar neutrino interaction rate at Earth obtained with the complete Borexino Phase-III dataset. The measured rate, ...R_{CNO}=6.7_{-0.8}^{+2.0} counts/(day×100 tonnes), allows us to exclude the absence of the CNO signal with about 7σ C.L. The correspondent CNO neutrino flux is 6.6_{-0.9}^{+2.0}×10^{8} cm^{-2} s^{-1}, taking into account the neutrino flavor conversion. We use the new CNO measurement to evaluate the C and N abundances in the Sun with respect to the H abundance for the first time with solar neutrinos. Our result of N_{CN}=(5.78_{-1.00}^{+1.86})×10^{-4} displays a ∼2σ tension with the "low-metallicity" spectroscopic photospheric measurements. Furthermore, our result used together with the ^{7}Be and ^{8}B solar neutrino fluxes, also measured by Borexino, permits us to disfavor at 3.1σ C.L. the "low-metallicity" standard solar model B16-AGSS09met as an alternative to the "high-metallicity" standard solar model B16-GS98.
Borexino experiment is located at the Laboratori Nazionali del Gran Sasso (LNGS) in Italy, and its primary goal is detecting solar neutrinos, in particular those below 2 MeV, with unprecedentedly ...high sensitivity. Its technical distinctive feature is the ultra-low radioactive background of the inner scintillating core, which is the basis of the outstanding achievements obtained by the experiment (fluxes of 7Be, pep, pp, and limit on CNO). A spectral fit in the whole energy range from 200 keV up to 2 MeV has been performed for the first time, allowing to obtain simultaneously fluxes of all the solar neutrino components. To make such a fit possible, one requires the exact shapes of neutrino signals and backgrounds, as seen in the detector. Therefore, the transformation of the spectra from the original energy scale to the scale of the desired energy estimator, such as the number of hit PMTs or photoelectrons, is one of the key steps of the analysis. This conversion accounts for the energy scale non-linearity and the detector's energy response, and can be performed using two approaches: the Monte Carlo simulation and the use of analytical models. The details and advantages of the analytical approach are presented in this contribution.
Borexino could efficiently distinguish between α and β radiation in its liquid scintillator by the characteristic time profile of its scintillation pulse. This α / β discrimination, first ...demonstrated on the ton scale in the counting test facility prototype, was used throughout the lifetime of the experiment between 2007 and 2021. With this method, the α events are identified and subtracted from the solar neutrino events similar to β . This is particularly important in liquid scintillators, as the α scintillation is strongly quenched. In Borexino, the prominent Po 210 decay peak was a background in the energy range of electrons scattered from Be 7 solar neutrinos. Optimal α / β discrimination was achieved with a , with a higher ability to leverage the timing information of the scintillation photons detected by the photomultiplier tubes. An event-by-event, high efficiency, stable, and uniform pulse shape discrimination was essential in characterizing the spatial distribution of background in the detector. This benefited most Borexino measurements, including solar neutrinos in the p p chain and the first direct observation of the CNO cycle in the Sun. This paper presents key milestones in α / β discrimination in Borexino as a term of comparison for current and future large liquid scintillator detectors. Published by the American Physical Society 2024
A spectral fitter based on the graphics processor unit (GPU) has been developed for Borexino solar neutrino analysis. It is able to shorten the fitting time to a superior level compared to the CPU ...fitting procedure. In Borexino solar neutrino spectral analysis, fitting usually requires around one hour to converge since it includes time-consuming convolutions in order to account for the detector response and pile-up effects. Moreover, the convergence time increases to more than two days when including extra computations for the discrimination of 11C and external γs. In sharp contrast, with the GPU-based fitter it takes less than 10 seconds and less than four minutes, respectively. This fitter is developed utilizing the GooFit project with customized likelihoods, pdfs and infrastructures supporting certain analysis methods. In this proceeding the design of the package, developed features and the comparison with the original CPU fitter are presented.
Atopic dermatitis is a chronic relapsing, inflammatory skin disorder associated with skin barrier dysfunction, the prevalence of which has increased dramatically in developing countries. In this ...article, we propose a treatment algorithm for patients with mild‐to‐moderate and severe atopic dermatitis flares in daily clinical practice. An international panel of 15 dermatology and allergy experts from eight countries was formed to develop a practical algorithm for the treatment of patients with atopic dermatitis, with a particular focus on topical therapies. In cases of mild‐to‐moderate atopic dermatitis involving sensitive skin areas, the topical calcineurin inhibitor pimecrolimus should be applied twice daily at the first signs of atopic dermatitis. For other body locations, patients should apply a topical calcineurin inhibitor, either pimecrolimus or tacrolimus, twice daily at the first signs of atopic dermatitis, such as pruritus, or twice weekly in previously affected skin areas. Emollients should be used regularly. Patients experiencing acute atopic dermatitis flares in sensitive skin areas should apply a topical corticosteroid twice daily or alternate once‐daily topical corticosteroid/topical calcineurin inhibitor until symptoms improve. Following improvement, topical corticosteroid therapy should be discontinued and patients switched to a topical calcineurin inhibitor. Maintenance therapy should include the use of pimecrolimus once daily for sensitive areas and tacrolimus for other body locations. This treatment algorithm can help guide clinical decision‐making in the treatment of atopic dermatitis.
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