scholarly journals CHARACTERISTICS OF HUMAN MOTOR ACTIVITY DURING SLEEP IN YOUNG ADULTS (18–21 YEARS) USING INFORMATIONANALYTICALSYSTEM

2021 ◽  
Vol 11 (1) ◽  
pp. 87-89
Author(s):  
Alexey Gorbunov ◽  
Yuri Gromov ◽  
Dmitry Parshin ◽  
Vladimir Egorov ◽  
Egor Dolgov ◽  
...  

The study of human motor activity during sleep in the period of adolescence/early adulthood was carried out. The study involved 35 healthy people — 18 women (51.5%) and 17 men (49.5%) aged 18 to 21 years. The data was obtained and processed with the employment of an original information-analytical system developed by the authors. When analyzing the data, we identified and used the following parameters: the number of movements, the maximum value of jerk and the coefficient of motor activity. For the number of movements, the average value was 9.6 and 10.2 for men and women, respectively. For the maximum value of jerk, the average value was 26.4 g/s and 24.3 g/s for men and women, respectively. For the coefficient of physical activity, the average value was 10.3% and 12.7% for men and for women, respectively. Thus, the results of the study are fundamental for understanding the adolescent period of postnatal human ontogenesis, indicate sexual dimorphism, and can also be used in research and practice in the field of physiology, neurology, neurosurgery, psychiatry and functional diagnostics with account of the specific age interval, as well as for prognosis.

2021 ◽  
Vol 11 (1) ◽  
pp. 84-86
Author(s):  
Alexey Gorbunov ◽  
Dmitry Parshin ◽  
Yuri Gromov ◽  
Alexey Neprokin ◽  
Egor Dolgov ◽  
...  

The research aimed to study motor activity in Parkinson's disease during sleep using a data analytical system developed by authors. The study included 8 patients (4 men and 4 women) diagnosed with Parkinson's disease at the age from 59 to 89 years. All patients were clinically evaluated for motor deficit (UPDRS Part III), motor fluctuations (UPDRS Part IV), functional activity (UPDRS Part I), non-motor symptoms (UPDRS Part II) and the clinical global impression. Using our information-analytical system we obtained data on motor activity during sleep and processed it on the following parameters: number of movements, maximum value of the jerk and motor activity coefficient. For the number of movements, the average value for men was 56.7, for women — 47.2. For the maximum value of the jerk, the average value for men was 22.1 g/s, for women — 16.7 g/s. For motor activity coefficient, the average value for men was 27.7%, for women — 22.3%. Thus, the feasibility of using the information analytical system for assessment of motor activity in Parkinson's disease during sleep and the necessity of studying hypokinetic tremors during sleep has been shown.


CERNE ◽  
2010 ◽  
Vol 16 (1) ◽  
pp. 32-40 ◽  
Author(s):  
Donizete dos Reis Pereira ◽  
Carlos Rogério de Mello ◽  
Antônio Marciano da Silva ◽  
Sílvia de Nazaré Monteiro Yanagi

Understanding hydrologic behavior in forested areas, not least the Brazilian Atlantic Forest, is of fundamental importance for environmental modeling. This work aimed to estimate evapotranspiration values in Atlantic Forest remnants of Mantiqueira Range region using water balance calculations, and to estimate parameters (stomatal and aerodynamic conductances) for this vegetation cover using the Penman-Monteith model. In terms of water balance, evapotranspiration accounted for 89% of total precipitation, deep percolation accounted for 13.6% and storage variation was slightly negative over the analysis period. Canopy aerodynamic conductance (g a) presented a minimum value of 0.0921 m s-1, a maximum value of 0.1000 m s-1 and an average value of 0.0993 m s-1. Stomatal conductance (g s) varied from 0.001 to 0.0046 m s-1, with an average value of 0.0022 m s-1, being influenced by environmental conditions, especially by soil water availability. It was observed that the application of the Penman-Monteith model with average parameter fit (g a and g s) provided good accuracy, especially over the dry season, therefore it can be applied to studies of forest hydrology in fragments of Atlantic Forest in the Mantiqueira Range region, Minas Gerais state.


1999 ◽  
Vol 13 (1) ◽  
pp. 103
Author(s):  
Edison De Jesus Manoel

Nos anos 60, o questionamento do “status” da Educação Física no sistema universitário norteamericano foi respondido com argumentos em favor de que ela se constituía numa disciplina acadêmica cujo objeto de estudo seria atividade motora humana. Nos anos 70, foi proposta a área de “Human Movement Studies” na Grã-Bretanha. Nos anos 80, houve uma proliferação de propostas em vários continentes tais como “Human Movement Science” “Kinanthropology” “Motricidade Humana”, sendo “Kinesiology” o termo de maior impacto no sistema universitário norte-americano, onde inúmeros departamentos de Educação Física passaram a adotá-lo. A ordem gerada pelo movimento da disciplina acadêmica da Educação m Física caracterizou-se por uma compreensão mais abrangente e integrada dos fenômenos típicos da atividade motora humana. A desordem gerada ficou por conta do gradual distanciamento da área acadêmica “Kinesiology” da profissão Educação Física, a ponto de nos anos 90 haver um novo questionamento do “status” acadêmico da Educação Física na universidade. O presente trabalho discute alguns aspectos da evolução da Educação Física no âmbito acadêmico e universitário com enfoque na Escola de Educação Física e Esporte da Universidade de São Paulo. O desenvolvimento da área acadêmica da Educação Física foi baseado no paradigma reducionista da Ciência clássica. O progresso da área depende, no entanto, de uma mudança de paradigma com o estabelecimento de áreas integrativas com orientação sistêmica ou à complexidade onde as ciências básica e aplicada e tecnologia são integradas de forma dinâmica. A análise da trajetória da EEFE-USP sugere que ela deu passos importantes em tal direção em face do que poderia ser caracterizado uma transição de fase na estrutura acadêmica da instituição no início dos anos 90


2011 ◽  
Vol 28 (2) ◽  
pp. 151 ◽  
Author(s):  
R. A Ghani ◽  
T. L Goh ◽  
A. M Hariri ◽  
Y. N Baizura

The basic friction angle, Φb for artificially sawn discontinuity planes for fresh granite, as determined by tilt testing, has an average value of 30º. For the natural rough discontinuity surfaces, a wide range of values have been determined for the peak friction angle, Φpeak ranging from 47º to a maximum value of 80º, depending on the joint roughness coefficient (JRC). The average values of the friction angles for the different degrees of roughness were as follows: JRC 2–4 = 58°; JRC 6–8 = 60°; JRC 8–10 = 47°; JRC 12–14 = 60°; JRC 14–16 = 71° ; JRC 18–20 = 80°.


2013 ◽  
Vol 57 (1) ◽  
pp. 85-89
Author(s):  
Katarzyna Michlik ◽  
Agnieszka Noszczyk-Nowak ◽  
Urszula Pasławska ◽  
Izabela Janus ◽  
Józef Nicpoń

Abstract Electrocardiographic examinations were performed on 45 Silesian breed horses (group K, 3-16-year-old, 16 stallions, 29 mares) and on 25 Polish Primitive breed horses (group P, 1.5-19-year-old, two stallions, six geldings, 17 mares). Einthoven and chest leads were used. P-wave dispersion was electronically evaluated. There was no correlation between P-wave dispersion and other ECG parameters, age, sex, body mass, or month of pregnancy. The average value of P-wave dispersion for all horses was 30.77 ms (SD 3.92 ms), however in particular groups it was: in group P - 31.89 ms (SD 3.07 ms), and in group K - 30.15 ms (SD 4.27 ms). The maximum value of P-wave dispersion in the studied population was 40 ms, in groups P and K - 37,6 ms and 40 ms, respectively. The physiological value of P-wave dispersion for the group of horses was below 45 ms.


Kursor ◽  
2018 ◽  
Vol 9 (3) ◽  
Author(s):  
Candra Dewi ◽  
Muhammad Sa’idul Umam ◽  
Imam Cholissodin

Disease of the soybean crop is one of the obstacles to increase soybean production in Indonesia. Some of these diseases usually are found in the leaves and resulted to the crop become unhealthy. This study aims to identify disease on soybean leaf through leaves image by applying the Learning Vector Quantization (LVQ) algorithm. The identification begins with preprocessing using modified Otsu method to get part of the diseases on the leaves with a certain threshold value. The next process is to identify the type of disease using LVQ. This process uses the minimum value, the maximum value and the average value of the red, green and blue color of the image. The testing conducted in this study is to identify two diseases called Peronospora manshurica (Downy Mildew) and phakopsora pachyrhizi (Karat). The result of testing by using 60 training data and the value of all recommendations parameters obtained the highest accuracy of identification is 95% %, but the more stable accuracy is 90%. This result shows that the method perform quite well identification of two mentioned disease.


2018 ◽  
Vol 60 (1) ◽  
pp. 28-34
Author(s):  
Jin Hee Moon ◽  
Sung Hye Koh ◽  
Sun-Young Park ◽  
Ji-Young Hwang ◽  
Ji Young Woo

Background The maximum value of the strain ratio (SR) is a newly developed measure in strain-elastography. Purpose To prospectively compare the diagnostic performance of three different measures of strain-elastography, the maximum value of the SR (SRmax), the average value of the SR (SRave), and the color map, for differentiating benign and malignant breast lesions. Material and Methods We obtained the SRmax and SRave of 314 lesions from 290 patients with the tissue to nodule SR and color map using a five-degree scoring system. The diagnostic performances of the SRmax, SRave, and color map were compared after obtaining the area under the receiver operating characteristic (ROC) curves (AUCs) of each parameter. Results The AUC of the SRmax (0.7674) was larger than the AUCs of the SRave (0.7138) and color map (0.6324), with statistical significance ( P = 0.0383 for SRmax vs. SRave, P = 0.0000 for SRmax vs. color map). The AUC of the SRave was larger than that of the color map; however, there was no significant difference. The optimal cut-off point of the SRmax that balanced the sensitivity (91.12%) and specificity (50.81%) was 5.16. Conclusion The SRmax is a more reliable diagnostic tool than the SRave and color map for differentiating benign and malignant breast lesions.


1986 ◽  
Vol 16 (1) ◽  
pp. 67-90 ◽  
Author(s):  
Denise Kandel ◽  
Ora Simcha-Fagan ◽  
Mark Davies

This study examines the interrelationships and predictors of involvement in delinquent activities and illicit drug use over a nine-year interval, from adolescence (age 15–16) to young adulthood (age 24–25) in a cohort representative of adolescents formerly enrolled in grades 10 and 11 in public secondary schools in New York State (N =1,004). Persistence of illicit drug use in this period of the life-cycle is greater than for delinquency and is higher among men than among women. Convergences and divergences in intrapersonal and interpersonal predictors of drug use and delinquency are analyzed. Adult illicit drug use is much better predicted by adolescent illicit drug use, especially among men. Among women, early drug use predicts later delinquent behavior. However, illicit drug use in the period from adolescence to early adulthood selectively predicts adult participation in one type of delinquent behavior, namely theft, among men and women, but has no effect on interpersonal aggression. Different risk factors in adolescence other than drug use predict continued delinquent involvement among men and women. In particular, depression plays an important role for women and family factors for men. Lifestyle factors subsequent to adolescence, especially failure to enter the conventional roles of adulthood, such as marriage and continuous employment, are important predictors of continued illicit drug use in adulthood but not of delinquency. Delinquency among males and illicit drug use among females appear to be subject to common etiological factors and may play similar roles in the lives of young people. Convergence between the findings and results reported by others are discussed.


2003 ◽  
Author(s):  
Kun Hu ◽  
Plamen C. Ivanov ◽  
Zhi Chen ◽  
Michael F. Hilton ◽  
H. Eugene Stanley ◽  
...  
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