The Agglomeration Mechanism of Network Emerging E-commerce Industry Based on Social Science

2022 ◽  
Vol 34 (3) ◽  
pp. 0-0
Keyword(s):  
Near Field ◽  
Industrial Agglomeration ◽  
Force Model ◽  
Data Sets ◽  
Industry Agglomeration ◽  
Production Factors ◽  
Wireless Broadband ◽  
Relationship Of ◽  
The Relationship ◽  
Coefficient Method

Network emerging e-commerce refers to the development of wireless broadband technology, smart terminal technology, near-field network, etc. as the driving force. It is the emerging e-commerce represented by the continuous development of modern e-commerce and the integration of commerce. This paper proposes to use Michael Porter’s cluster theory method, income increasing algorithm, and spatial Gini coefficient method to sort out and analyze the research results of industrial agglomeration problems, further study the relationship of e-commerce industry agglomeration mechanism, and build agglomeration simulation model , the construction of the centripetal force model of the industrial agglomeration area, through the analysis of the production factors of the e-commerce industry, and then study the influence of each factor on the development of the e-commerce industry. Finally, this paper selects and uses 16 standard mechanical data sets to investigate and analyze the agglomeration mechanism of the e-commerce industry, which verifies the accuracy and overall applicability of the method.

scholarly journals Integration of Pedagogical and Production Factors in the Process of the Formation of Industry 4.0

TEM Journal ◽  
2021 ◽  
pp. 1964-1970
Author(s):  
Nikolay Chapaev ◽  
Olga Akimova ◽  
Yevgeniy Dorozhkin ◽  
Andrey Efanov ◽  
Ekaterina Bychkova
Keyword(s):  
Industry 4.0 ◽  
Industrial Revolution ◽  
Rapid Development ◽  
Student Assessment ◽  
Teacher Assessment ◽  
Educational Process ◽  
Production Factors ◽  
Ancient Times ◽  
Relationship Of ◽  
The Relationship

The rapid development of Industry 4.0 as a result of the Fourth Industrial Revolution brings back the relationship of pedagogy and production to mutual integration that has been their characteristic since ancient times. The study revealed high digital readiness of students (4.24 according to the student assessment and 2.82 according to the teacher assessment on a 5- point scale) and very low readiness of production to accept integrated learning (1.68 and 2.67, respectively), as well as the poor digitalization of the educational process according to the students and teachers, who are more closely familiar with the reality of production (2.03 and 2.45, respectively).

scholarly journals A STUDY OF FACTORS AFFECTING THE FLUIDITY OF CEMENT

2019 ◽  
pp. 8-16
Author(s):  
Л. Шахова ◽  
L. Shakhova ◽  
Е. Черноситова ◽  
E. Chernositova ◽  
Л. Щелокова ◽  
...  
Keyword(s):  
Labor Costs ◽  
Factors Affecting ◽  
Correlation And Regression Analysis ◽  
Cement Powder ◽  
Production Factors ◽  
Variable Factor ◽  
Cement Binder ◽  
Cement Grinding ◽  
Relationship Of ◽  
The Relationship

The fluidity of cement powder has a significant impact on the duration and labor costs in the process of transportation and shipment of cement. This determines the relevance of the task of finding mechanisms to control this parameter. During the production process, the fluidity of the cement powder is formed depending on the properties of the initial cement charge, the requirements for the thinness of the grinding to the finished product, the hardware design and the conditions of the process. In turn, the fluidity of cement affects the grinding process and the productivity of the mill. The rheological characteristics of the cement binder change over time depending on the physical properties of the material, environmental conditions and the equipment used for its storage. The reasons for the deterioration of the flow of cement powder is still not fully studied. The article is devoted to the study of the main factors affecting the fluidity of cement. The results of the statistical analysis of cement fluidity depending on the thinness of cement grinding (on the residue on the sieve №008 and the specific surface area by Blaine method) humidity, bulk weight and weight in the most compacted state. In addition, the relationship of production factors and cement fluidity is considered. Correlation and regression analysis shows that the fluidity is affected by a variable factor, which is not yet quantified.

The Relationship of Schizophrenic Births to 16 Infectious Diseases

1994 ◽  
Vol 165 (3) ◽  
pp. 353-356 ◽  
Author(s):  
E. O'Callaghan ◽  
P. C. Sham ◽  
N. Takei ◽  
G. Murray ◽  
G. Glover ◽  
...  
Keyword(s):  
Infectious Diseases ◽  
Poisson Regression ◽  
The Other ◽  
Data Sets ◽  
Poisson Regression Model ◽  
England And Wales ◽  
Schizophrenic Patients ◽  
Relationship Of ◽  
The Relationship ◽  
First Admission

BackgroundRecently, several investigators have reported an association between influenza epidemics and increased birth rates of ‘preschizophrenic’ individuals some four to six months later. Here we examine whether maternal exposure to other infectious diseases can also predispose the foetus to later schizophrenia.MethodTwo independent sets of dates of birth of first admission schizophrenic patients, born between 1938 and 1965 in England and Wales, were obtained from the Mental Health Enquiry in England and Wales. Data on the number of deaths per month from 16 infectious diseases between 1937 and 1965 in England and Wales were also collected. We used a Poisson regression model to examine the relationship between deaths from infectious diseases and schizophrenic births.ResultsIn the two separate data sets, increased national deaths from bronchopneumonia preceded, by three and five months respectively, increased numbers of schizophrenic births. We did not find any other significant associations between schizophrenic births and any of the other 15 infectious diseases.ConclusionsThe association between deaths from bronchopneumonia and increased schizophrenic births some months later may be a reflection of the fact that bronchopneumonia deaths increase markedly during influenza epidemics.

scholarly journals Phylogenetic Analysis of Mitogenomic Data Sets Resolves the Relationship of Seven Macropostrongyloides Species from Australian Macropodid and Vombatid Marsupials

Pathogens ◽  
2020 ◽  
Vol 9 (12) ◽  
pp. 1042 ◽  
Author(s):  
Tanapan Sukee ◽  
Anson V. Koehler ◽  
Ross Hall ◽  
Ian Beveridge ◽  
Robin B. Gasser ◽  
...  
Keyword(s):  
Sequence Data ◽  
Phylogenetic Analyses ◽  
Mitochondrial Protein ◽  
Parasitic Nematodes ◽  
Data Sets ◽  
Protein Amino Acid ◽  
Protein Coding ◽  
Relationship Of ◽  
The Relationship ◽  
Swamp Wallaby

Nematodes of the genus Macropostrongyloides inhabit the large intestines or stomachs of macropodid (kangaroos and wallabies) and vombatid (wombats) marsupials. This study established the relationships of seven species of Macropostrongyloides using mitochondrial (mt) protein amino acid sequence data sets. Phylogenetic analyses revealed that species of Macropostrongyloides (M. lasiorhini, M. baylisi, M. yamagutii, M. spearei, M. mawsonae and M. woodi) from the large intestines of their hosts formed a monophyletic assemblage with strong nodal support to the exclusion of M. dissimilis from the stomach of the swamp wallaby. Furthermore, the mitochondrial protein-coding genes provided greater insights into the diversity and phylogeny of the genus Macropostrongyloides; such data sets could potentially be used to elucidate the relationships among other parasitic nematodes of Australian marsupials.

scholarly journals Adopting a Practical Statistical Approach for Evaluating Assay Agreement in Drug Discovery

2005 ◽  
Vol 10 (5) ◽  
pp. 508-516 ◽  
Author(s):  
Dongyu Sun ◽  
Adrian Whitty ◽  
James Papadatos ◽  
Miki Newman ◽  
Jason Donnelly ◽  
...  
Keyword(s):  
Drug Discovery ◽  
High Throughput Screening ◽  
Statistical Approach ◽  
Data Sets ◽  
Detection Technology ◽  
Quantitative Changes ◽  
Relationship Of ◽  
The Relationship ◽  
Data Equivalence ◽  
Assay Conditions

The authors assess the equivalence of 2 assays and put forward a general approach for assay agreement analysis that can be applied during drug discovery. Data sets generated by different assays are routinely compared to each other during the process of drug discovery. For a given target, the assays used for high-throughput screening and structure-activity relationship studies willmost likely differ in their assay reagents, assay conditions, and/or detection technology, whichmakes the interpretation of data between assays difficult, particularly as most assays are used to measure quantitative changes in compound potency against the target. To better quantify the relationship of data sets from different assays for the same target, the authors evaluated the agreement between results generated by 2 different assays that measure the activity of compounds against the same protein, ALK5. The authors showthat the agreement between data sets can be quantified using correlation and Bland-Altman plots, and the precision of the assays can be used to define the expectations of agreement between 2 assays. They propose a scheme for addressing issues of assay data equivalence, which can be applied to address questions of how data sets compare during the lead identification and lead optimization processes in which assays are frequently added and changed.

scholarly journals Clash of cultures? Archaeology and genetics

2006 ◽  
Vol 33 ◽  
pp. 39-49 ◽  
Author(s):  
Mark Pluciennik
Keyword(s):  
Genetic Data ◽  
Data Sets ◽  
The Past ◽  
Transition To Agriculture ◽  
Clash Of Cultures ◽  
Relationship Of ◽  
The Relationship

This paper examines the ways in which genetic data have been used to interpret the transition to agriculture in Europe over the past two decades, and the relationship of these interpretations to more strictly archaeological explanations. It is suggested that, until recently, those working within the two disciplines have been using not only different data sets and methodologies, but also working within different disciplinary traditions which have inhibited communication and collaboration, and the production of a genuinely integrated field of ‘archaeogenetics’.

Dynamic Analysis of a Robotic Fish Propelled by Flexible Folding Pectoral Fins

Robotica ◽  
2019 ◽  
Vol 38 (4) ◽  
pp. 699-718 ◽  
Author(s):  
Van Anh Pham ◽  
Tan Tien Nguyen ◽  
Byung Ryong Lee ◽  
Tuong Quan Vo
Keyword(s):  
Power Stroke ◽  
Swimming Velocity ◽  
Force Model ◽  
Flexible Joints ◽  
Pectoral Fin ◽  
Pectoral Fins ◽  
Recovery Stroke ◽  
Turning Radius ◽  
Relationship Of ◽  
The Relationship

SUMMARYBiological fish can create high forward swimming speed due to change of thrust/drag area of pectoral fins between power stroke and recovery stroke in rowing mode. In this paper, we proposed a novel type of folding pectoral fins for the fish robot, which provides a simple approach in generating effective thrust only through one degree of freedom of fin actuator. Its structure consists of two elemental fin panels for each pectoral fin that connects to a hinge base through the flexible joints. The Morison force model is adopted to discover the relationship of the dynamic interaction between fin panels and surrounding fluid. An experimental platform for the robot motion using the pectoral fin with different flexible joints was built to validate the proposed design. The results express that the performance of swimming velocity and turning radius of the robot are enhanced effectively. The forward swimming velocity can reach 0.231 m/s (0.58 BL/s) at the frequency near 0.75 Hz. By comparison, we found an accord between the proposed dynamic model and the experimental behavior of the robot. The attained results can be used to design controllers and optimize performances of the robot propelled by the folding pectoral fins.

A new method for the analysis of three-dimensional data matrices in agricultural experimentation

1974 ◽  
Vol 25 (5) ◽  
pp. 803 ◽  
Author(s):  
WT Williams ◽  
LA Edye
Keyword(s):  
Analysis Of Variance ◽  
Euclidean Distance ◽  
Three Dimensional ◽  
Real Life ◽  
Marine Ecology ◽  
New Method ◽  
Data Sets ◽  
Classical Statistics ◽  
Relationship Of ◽  
The Relationship

The analysis of three-dimensional data sets has received considerable attention in ecology, but relatively little in agriculture, in which such data sets are equally common. A model has recently been proposed for the (sites x species x times) case in marine ecology; it can be regarded as based either on Euclidean distance or on the analysis of variance. The model is recapitulated in outline, its properties are somewhat extended, and its application to agronomic experiments is discussed. A brief account is given of the use of the model in the analysis of two real-life agronomic experiments. Finally, the relationship of such methods to those of classical statistics is briefly discussed.

Effect of Mean Wind Speed Variations on Power Generation of Wind Farm

2012 ◽  
Vol 215-216 ◽  
pp. 1298-1307
Author(s):  
Chen Guo ◽  
Yan He
Keyword(s):  
Power Generation ◽  
Wind Speed ◽  
Wind Farm ◽  
High Reliability ◽  
Wind Farms ◽  
Measured Data ◽  
Data Sets ◽  
Mean Wind Speed ◽  
Relationship Of ◽  
The Relationship

Through two methods, wind speed data sets sequence, the elements of which increased in Mean Wind Speed (MWS) orderly, are introduced first, and a numerical integration method depending on Weibull fitting result and power curve data to calculate Power Generation (PG) is proposed in this paper. Then, with measured data of 3 wind farms, PG with different heights are calculated and contrastive studies are made, employing the proposed data sets processing and PG calculating methods. Research results indicate that the PG calculating method has high reliability, and Equivalent Available Duration (EAD) increases about 50-60h when MWS increased by 0.1m/s. The results provide important basis for studies on the relationship of PG variation and measured data correction methods.

scholarly journals Prediksi Tingkat Ketersediaan Stock Sembako Menggunakan Algoritma FP-Growth dalam Meningkatkan Penjualan

2020 ◽  
pp. 67-73
Author(s):  
Rahmad Aditiya ◽  
Sarjon Defit ◽  
Gunadi Widi Nurcahyo
Keyword(s):  
Association Rule ◽  
Large Data ◽  
Grocery Stores ◽  
Data Sets ◽  
Data Mining Technique ◽  
Transaction Data ◽  
Relationship Of ◽  
Purchasing Patterns ◽  
The Relationship ◽  
North Sumatra

Large data sets can be processed to become useful information, one of the data that can be processed is sales transaction data at UD. Smart Aliwansyah, which will become important information to increase sales. This study aims to find the pattern of product purchases to predict the level of availability of staple foods so as to increase sales. The data that is processed in this study uses the sales transaction data of goods obtained from the sales invoice of UD. Smart Aliwansyah, North Sumatra Tax Village. Based on these data, with the provision that a minimum of 2 types of goods in 1 transaction is examined using a data mining technique in association with the FP-Growth algorithm with a confidence value of 75% and a minimum support of 20%. The tools used by Rapidminer 9.4 are to obtain product purchasing patterns which are used as information to predict the level of stock availability. The result of the sales data processing process is the association rule. Association Rule is obtained in the form of a relationship between goods sold together with other goods in a transaction. From this pattern, it can be recommended to the shop owner as information for preparing basic food stocks to increase sales results. This research is very suitable to be applied to determine the patterns of consumer spending such as the relationship of each item purchased by consumers, so this research is appropriate for use by grocery stores.

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