scholarly journals Transparent façades – selection of construction materials with the use of modified multi-criteria spider’s network analysis method

2018 ◽  
Vol 219 ◽  
pp. 04009
Author(s):  
Oliwier Zapała ◽  
Damian Wieczorek
Keyword(s):  
Mathematical Method ◽  
Comparative Analysis ◽  
Network Analysis ◽  
Environmental Conditions ◽  
Construction Materials ◽  
Rolled Steel ◽  
Structural Elements ◽  
Analysis Method ◽  
Safety Glass ◽  
Selection Of

the main and most impressive elevations of the building. It also focuses on some issues related to high requirements placed on façade systems in terms of insulation from environmental conditions and comfort of the future users of the building. Due to the fact that there are many materials that can be used for the main structural elements (columns, spandrel beams and ribs) of load-bearing façade structures, the authors of the article attempted to do a multi-criteria comparative analysis of three different materials (safety glass, glulam and rolled steel) of a 6-meter-long reference column. The set of criteria, consisting of twelve elements, was adopted for comparative analysis. A combination of two methods was selected for performing the multi-criteria analysis: a geometric method of spider’s network and a mathematical method of the adjusted index of summation.

Analysis method ofrecruitment needs for the regional economy: Occupational section

2017 ◽  
pp. 142-149 ◽  
Author(s):  
E. Pitukhin ◽  
S. Shabaeva ◽  
I. Stepus ◽  
D. Moroz
Keyword(s):  
Cluster Analysis ◽  
Labor Market ◽  
Comparative Analysis ◽  
Regional Economy ◽  
Dimensional Space ◽  
Analysis Method ◽  
Scalar Form ◽  
Regional Labor Market ◽  
Regional Labor ◽  
Regional Specificity

The paper deals with comparative analysis of occupations in the regional labor market. Occupation is treated as a multi-dimensional space of characte- ristics, whereas a scalar form of a characteristic makes it possible to carry out a comparative analysis of occupations. Using cluster analysis of a pilot region indicators five meaningfully interpretable clusters of occupations were identified, reflecting their regional specificity.

scholarly journals Modeling, comparison and evaluation of one-DOF six-bar bioinspired jumping leg mechanisms

2021 ◽  
Vol 13 (2) ◽  
pp. 168781402199295
Author(s):  
Ziqiang Zhang ◽  
Qi Yang ◽  
Xingkun Liu ◽  
Chuanzhong Zhang ◽  
Jinnong Liao
Keyword(s):  
Center Of Mass ◽  
Principal Component ◽  
Analysis Method ◽  
Index Distribution ◽  
Inertial Moment ◽  
Structure Index ◽  
Mean And Variance ◽  
Research Objects ◽  
Leg Mechanisms ◽  
Selection Of

One degree-of-freedom (DOF) jumping leg has the advantages of simple control and high stiffness, and it has been widely used in bioinspired jumping robots. Compared with four-bar jumping leg, six-bar jumping leg mechanism can make the robot achieve more abundant motion rules. However, the differences among different configurations have not been analyzed, and the choice of configurations lacks basis. In this study, five Watt-type six-bar jumping leg mechanisms were selected as research objects according to the different selection of equivalent tibia, femur and trunk link, and a method for determining the dimension of the jumping leg was proposed based on the movement law of jumping leg of locust in take-off phase. On this basis, kinematics indices (sensitivity of take-off direction angle and trunk attitude angle), dynamics indices (velocity loss, acceleration fluctuation, and mean and variance of total inertial moment) and structure index (distribution of center of mass) were established, and the differences of different configurations were compared and analyzed in detail. Finally, according to the principal component analysis method, the optimal selection method for different configurations was proposed. This study provides a reference for the design of one DOF bioinspired mechanism.

Dynamics of export potential of sunflower oil in Ukraine

Helia ◽  
2021 ◽  
Vol 0 (0) ◽  
Author(s):  
Kateryna Vasylkovska ◽  
Olha Andriienko ◽  
Oleksii Vasylkovskyi ◽  
Andrii Andriienko ◽  
Popov Volodymyr ◽  
...  
Keyword(s):  
Climate Change ◽  
Comparative Analysis ◽  
Sunflower Oil ◽  
Climate Changes ◽  
Qualitative Change ◽  
Sunflower Seeds ◽  
Cultivation Technology ◽  
Selection Of

Abstract The analysis of the production and yield of sunflower seeds in Ukraine for the period from 2000 to 2019 was conducted in the article. The comparative analysis of the gross harvest of sunflower seeds and the export of sunflower oil for the years under research was carried out. The dependence of exports on gross harvest was revealed and its share was calculated. It was determined that the export of sunflower oil has increased over the years under research, which indicates a significant Ukraine’s export potential. It was found that the increase in the share of exports by 15.9% was made possible by a qualitative change in yield, that was ensured by the changes in the cultivation technology and by the selection of sunflower hybrids that are better adapted to climate changes. The recommendations for further improvement of cultivation technology in connection with climate change in order to further increase yields and the export potential of Ukraine were given.

scholarly journals Network Analysis Based on Unique Spectral Features Enables an Efficient Selection of Genomically Diverse Operational Isolation Units

2021 ◽  
Vol 9 (2) ◽  
pp. 416
Author(s):  
Charles Dumolin ◽  
Charlotte Peeters ◽  
Evelien De Canck ◽  
Nico Boon ◽  
Peter Vandamme
Keyword(s):  
Network Analysis ◽  
Hierarchical Clustering ◽  
Mass Spectra ◽  
Spectral Features ◽  
Maldi Tof ◽  
Maldi Tof Mass Spectra ◽  
Diversity Studies ◽  
Technical Sample ◽  
Efficient Selection ◽  
Selection Of

Culturomics-based bacterial diversity studies benefit from the implementation of MALDI-TOF MS to remove genomically redundant isolates from isolate collections. We previously introduced SPeDE, a novel tool designed to dereplicate spectral datasets at an infraspecific level into operational isolation units (OIUs) based on unique spectral features. However, biological and technical variation may result in methodology-induced differences in MALDI-TOF mass spectra and hence provoke the detection of genomically redundant OIUs. In the present study, we used three datasets to analyze to which extent hierarchical clustering and network analysis allowed to eliminate redundant OIUs obtained through biological and technical sample variation and to describe the diversity within a set of spectra obtained from 134 unknown soil isolates. Overall, network analysis based on unique spectral features in MALDI-TOF mass spectra enabled a superior selection of genomically diverse OIUs compared to hierarchical clustering analysis and provided a better understanding of the inter-OIU relationships.

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