Bioclimatic zoning of the territory of Ukraine based on human thermal state assessment

Correlation of particles number in an equilibrium thermal state of quantum gas is caused mutual «interference repulsion» and antibunching at fermions and «interference attraction» and bunching at bosons.

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Efficiency of special cooling liquid on thermal state of athletes at high temperatures

Russian Journal of Occupational Health and Industrial Ecology ◽

10.31089/1026-9428-2019-1-60-63 ◽

2019 ◽

pp. 60-63

Author(s):

S. M. Rasinkin ◽

M. V. Dvornikov ◽

I. A. Artamonova ◽

V. V. Petrova ◽

A. A. Kish ◽

...

Keyword(s):

High Temperatures ◽

Thermal State ◽

Subjective Evaluation ◽

Maximal Oxygen Consumption ◽

Weighted Average ◽

Male Athletes ◽

Cooling Liquid ◽

Sport Teams ◽

Heat State ◽

Average Skin

The article presents results of evaluating efficiency of special cooling liquid influence on heat state of athletes at high temperatures. The study covered 7 male athletes of cyclic sports, with sport rank at least 1 adult, average age 19.29±1.80 years. All the athletes underwent double examination including: anamnesis and complaints records, doctor’s examination, subjective evaluation of heat sensations, weight measurements, thermometry (tympanic, sublingual, rectal and skin (in 5 points)), ergospirometric stress testing. Changes in the athletes’ heat state were evaluated via dynamics of weighted average skin temperature and rectal temperature. Moreover, subjective evaluation of heat sensations was considered. Efficiency of the cooling liquid was assessed via dynamics of exercises performance time, maximal oxygen consumption and anaerobic metabolism threshold. The cooling liquid use appeared to be expedientin sport teams of summer sports for specific exertion after individual tests for adverse allergic reactions.

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Computational study of non-stationary thermal state of an ice layer taking into account radiation scattering

Thermophysics and Aeromechanics ◽

10.1134/s0869864320040149 ◽

2020 ◽

Vol 27 (4) ◽

pp. 615-622

Author(s):

S. D. Sleptsov ◽

N. A. Savvinova

Keyword(s):

Thermal State ◽

Computational Study ◽

Radiation Scattering

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Research on the communication mechanism between entities based on end-to-end credible state assessment

Journal of Physics Conference Series ◽

10.1088/1742-6596/1871/1/012072 ◽

2021 ◽

Vol 1871 (1) ◽

pp. 012072

Author(s):

Baohua Zhao ◽

Zhihao Wang ◽

Ningyu An ◽

Chunhui Ren

Keyword(s):

State Assessment ◽

Communication Mechanism ◽

End To End

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A Survey of Computational Methods for Online Mental State Assessment on Social Media

ACM Transactions on Computing for Healthcare ◽

10.1145/3437259 ◽

2021 ◽

Vol 2 (2) ◽

pp. 1-31

Author(s):

Esteban A. Ríssola ◽

David E. Losada ◽

Fabio Crestani

Keyword(s):

Social Media ◽

Mental Disorders ◽

Mental State ◽

Extraction Process ◽

State Assessment ◽

Future Research ◽

Linguistic Markers ◽

Online Social Media ◽

Suicide Behaviour ◽

Social Media Platforms

Mental state assessment by analysing user-generated content is a field that has recently attracted considerable attention. Today, many people are increasingly utilising online social media platforms to share their feelings and moods. This provides a unique opportunity for researchers and health practitioners to proactively identify linguistic markers or patterns that correlate with mental disorders such as depression, schizophrenia or suicide behaviour. This survey describes and reviews the approaches that have been proposed for mental state assessment and identification of disorders using online digital records. The presented studies are organised according to the assessment technology and the feature extraction process conducted. We also present a series of studies which explore different aspects of the language and behaviour of individuals suffering from mental disorders, and discuss various aspects related to the development of experimental frameworks. Furthermore, ethical considerations regarding the treatment of individuals’ data are outlined. The main contributions of this survey are a comprehensive analysis of the proposed approaches for online mental state assessment on social media, a structured categorisation of the methods according to their design principles, lessons learnt over the years and a discussion on possible avenues for future research.

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