The effects of different sports on the activity of human functional systems

10.12737/7589 ◽  
2015 ◽  
Vol 9 (1) ◽  
pp. 0-0
Author(s):  
Зилов ◽  
V. Zilov ◽  
Еськов ◽  
V. Eskov ◽  
Филатова ◽  
...  
Keyword(s):  
Energy Consumption ◽  
Theoretical Model ◽  
Human Body ◽  
Lactate Threshold ◽  
Actual Load ◽  
Adaptation Processes ◽  
Available Information ◽  
Sports Activities ◽  
Mixed Load

The review highlights the issues of classification of sports, their detailed description, based on available information about the functioning of organs and systems of the human body during sports activities. Features training and competitive loads on their nature and intensity, as well as the features of the actual load and the perfect plan of the theoretical model were identified. Aerobic, anaerobic and mixed load, lactate threshold, oxygen debt, and energy consumption were identified and characterized. The rest activities (active, passive and combined) as well as the typology of rest were described. The authors found a relationship between fatigue and rest with the nature of the adaptation processes.

K-MEANS CLUSTERING ALGORITHM BASED CLASSIFICATION OF SOIL FERTILITY IN NORTH WEST NIGERIA

2020 ◽  
Vol 4 (2) ◽  
pp. 780-787
Author(s):  
Ibrahim Hassan Hayatu ◽  
Abdullahi Mohammed ◽  
Barroon Ahmad Isma’eel ◽  
Sahabi Yusuf Ali
Keyword(s):  
Soil Fertility ◽  
Crop Yield ◽  
Clustering Algorithm ◽  
Soil Samples ◽  
North West ◽  
R Programming ◽  
Available Information ◽  
Northwest Region ◽  
The Relationship

Soil fertility determines a plant's development process that guarantees food sufficiency and the security of lives and properties through bumper harvests. The fertility of soil varies according to regions, thereby determining the type of crops to be planted. However, there is no repository or any source of information about the fertility of the soil in any region in Nigeria especially the Northwest of the country. The only available information is soil samples with their attributes which gives little or no information to the average farmer. This has affected crop yield in all the regions, more particularly the Northwest region, thus resulting in lower food production.  Therefore, this study is aimed at classifying soil data based on their fertility in the Northwest region of Nigeria using R programming. Data were obtained from the department of soil science from Ahmadu Bello University, Zaria. The data contain 400 soil samples containing 13 attributes. The relationship between soil attributes was observed based on the data. K-means clustering algorithm was employed in analyzing soil fertility clusters. Four clusters were identified with cluster 1 having the highest fertility, followed by 2 and the fertility decreases with an increasing number of clusters. The identification of the most fertile clusters will guide farmers on where best to concentrate on when planting their crops in order to improve productivity and crop yield.

Matrix metalloproteinases: structure, functions and genetic polymorphism

2017 ◽  
pp. 14-23
Author(s):  
А.С. Шадрина ◽  
И.В. Терешкина ◽  
Я.З. Плиева ◽  
Д.Н. Кушлинский ◽  
Д.О. Уткин ◽  
...  
Keyword(s):  
Genetic Polymorphism ◽  
Matrix Metalloproteinases ◽  
Active Center ◽  
Human Body ◽  
Enzymatic Catalysis ◽  
Structure Functions ◽  
Zinc Ion ◽  
Etiological Factors ◽  
Mmp Genes

Матриксные металлопротеиназы (ММП) - ферменты класса гидролаз, осуществляющие ферментативный катализ с помощью связанного в активном центре иона цинка. Функции ММП разнообразны, и нарушение баланса их активности может быть одним из этиологических факторов различных заболеваний. В данном обзоре рассмотрена классификация ММП человека, особенности их структуры и регуляции, а также роль в физиологических и патологических процессах в организме человека. Приведен перечень наиболее изученных на настоящий момент полиморфных вариантов генов MMП, описаны их функциональные эффекты и представлены результаты ассоциативных исследований. Matrix metalloproteinases (MMPs) are enzymes of the hydrolase class that carry out enzymatic catalysis with the help of a zinc ion bound in the active center. MMP functions are diverse, and a disturbance in the balance of their activity may be one of the etiological factors of various diseases. In this review, the classification of human MMP, the features of their structure and regulation, as well as the role in physiological and pathological processes in the human body are considered. A list of the most studied polymorphic versions of MMP genes has been given, their functional effects have been described, and the results of associative studies have been presented.

scholarly journals Freely scalable and reconfigurable optical hardware for deep learning

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Liane Bernstein ◽  
Alexander Sludds ◽  
Ryan Hamerly ◽  
Vivienne Sze ◽  
Joel Emer ◽  
...  
Keyword(s):  
Neural Network ◽  
Energy Consumption ◽  
Data Transfer ◽  
Power Delivery ◽  
Optical Data ◽  
Optical Multicast ◽  
Optical Neural Network ◽  
Fully Connected ◽  
Management Power

AbstractAs deep neural network (DNN) models grow ever-larger, they can achieve higher accuracy and solve more complex problems. This trend has been enabled by an increase in available compute power; however, efforts to continue to scale electronic processors are impeded by the costs of communication, thermal management, power delivery and clocking. To improve scalability, we propose a digital optical neural network (DONN) with intralayer optical interconnects and reconfigurable input values. The path-length-independence of optical energy consumption enables information locality between a transmitter and a large number of arbitrarily arranged receivers, which allows greater flexibility in architecture design to circumvent scaling limitations. In a proof-of-concept experiment, we demonstrate optical multicast in the classification of 500 MNIST images with a 3-layer, fully-connected network. We also analyze the energy consumption of the DONN and find that digital optical data transfer is beneficial over electronics when the spacing of computational units is on the order of $$>10\,\upmu $$ > 10 μ m.

scholarly journals Physical Activities and their Characteristics During Pandemic Times

2021 ◽  
Vol 26 (2) ◽  
pp. 156-162
Author(s):  
Fabiana Martinescu-Bădălan
Keyword(s):  
Human Body ◽  
Sedentary Lifestyle ◽  
Family Members ◽  
Physical Activities ◽  
Negative Effect ◽  
The Right ◽  
The Brain ◽  
Sports Activities

Abstract In this paper we wanted to present some aspects and characteristics observed in the specialized works and from the experience gained in performing physical activities during the COVID-19 pandemic. This period was a complicated one both in terms of physical distancing and emotionally. We no longer had the right to leave our houses, except to get what was strictly necessary, not to meet with family members or friends, cultural and sports activities were suspended, and all this caused an increasingly visible state of sedentary lifestyle. All the restrictions of this period had a negative effect mainly on the brain and the dynamics of the human body, and they are detailed in the following pages.

scholarly journals CLASSIFICATION OF MUNICIPAL ENERGY CONSUMPTION FACILITIES WITH THE USE OF MACHINE LEARNING METHODS

2020 ◽  
Vol 2 (50) ◽  
pp. 43-51
Author(s):  
A. Perekrest ◽  
◽  
V. Ogar ◽  
O. Vovna ◽  
◽  
...  
Keyword(s):  
Machine Learning ◽  
Energy Consumption ◽  
Learning Methods ◽  
Machine Learning Methods

Data-Driven Approaches for Prediction and Classification of Building Energy Consumption

2021 ◽  
pp. 11-45
Author(s):  
Yixuan Wei ◽  
Xingxing Zhang ◽  
Yong Shi
Keyword(s):  
Energy Consumption ◽  
Building Energy ◽  
Data Driven ◽  
Building Energy Consumption

scholarly journals Hierarchical classification of time series data aggregation in underwater wireless sensor networks

2020 ◽  
Vol 37 (2) ◽  
pp. 53-64
Author(s):  
Durairaj Ruby ◽  
Jayachandran Jeyachidra
Keyword(s):  
Time Series ◽  
Wireless Sensor Networks ◽  
Energy Consumption ◽  
Sensor Networks ◽  
Error Rate ◽  
Data Aggregation ◽  
Hierarchical Classification ◽  
Wireless Sensor ◽  
Underwater Wireless Sensor Networks

Environmental fluctuations are continuous and provide opportunities for further exploration, including the study of overground, as well as underground and submarine, strata. Underwater wireless sensor networks (UWSNs) facilitate the study of ocean-based submarine and marine parameters details and data. Hardware plays a major role in monitoring marine parameters; however, protecting the hardware deployed in water can be difficult. To extend the lifespan of the hardware, the inputs, processing and output cycles may be reduced, thus minimising the consumption of energy and increasing the lifespan of the devices. In the present study, time series similarity check (TSSC) algorithm is applied to the real-time sensed data to identify repeated and duplicated occurrences of data for reduction, and thus improve energy consumption. Hierarchical classification of ANOVA approach (HCAA) applies ANOVA (analysis of variance) statistical analysis model to calculate error analysis for realtime sensed data. To avoid repeated occurrences, the scheduled time to read measurements may be extended, thereby reducing the energy consumption of the node. The shorter time interval of observations leads to a higher error rate with lesser accuracy. TSSC and HCAA data aggregation models help to minimise the error rate and improve accuracy.

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