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Published: 4 June 2021
Last updated: 25 May 2024

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1

Zayats, Olena. "The EU Global Competitive Force Index." Economic Annals-ХХI 183, no. 5-6 (June 4, 2020): 17–25. http://dx.doi.org/10.21003/ea.v183-02.

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Introduction. With this paper we want to show that the study of international competitiveness only at a country level does not correspond to the contemporary development of the global economy. The author presents the methodology for competitiveness grouping of international integration groupings’ member states in order to assess the global competitive force of trade and economic groupings in the world economy. Based on the data of the Global Competitiveness Report 2019 regarding the competitiveness of the EU Member States, the Global Competitive Force Index of the EU as an interstate integration grouping has been calculated. The Index will help evaluate economic integration or disintegration processes in the global economy. The research demonstrates the necessity of the annual global competitive force ranking of international integration groupings. This study will enhance knowledge in the field of economics by grouping the EU Member States’ global competitiveness indices according to 12 criteria and identifying the new quantitative and qualitative integrated Global Competitive Force Index of an international integration grouping. To reach this objective, we will define the Integrated Global Competitive Force Index as the average of the individual points of the EU Member States in 2019. The novelty of our study lies in the comparative analysis of the three largest interstate integration groupings from the perspective of their competitive force. The introduction of the new integrated Global Competitive Force Index of interstate integration groupings will help competition policy makers decide which processes of economic integration or disintegration should be preferred in order to increase their competitive force in the global economy. The purpose. Research and calculation of the European Union’s Integrated Global Competitive Force Index to analyze the attractiveness of the European Union in terms of global competitive force. Based on the calculation of the EU Integrated Global Competitive Force Index 2019, the attractiveness of the EU competitive environment has been determined according to 12 criteria. Results. The ranking of the three largest regional integration groupings of the world economy has been formed. Specification of the assessment and results of the integrated index of interstate integration groupings’ global development can be used for the competition policy development of the individual member state of an integration grouping as well as the communitarian competition policy. The EU Integrated Global Competitive Force Index will help understand what the integration grouping’s competitive force means and whether the process of interstate integration of countries contributes to enhancing the competitive force of an individual country and the integration grouping as a whole. To calculate the EU Integrated Competitive Force Index, we will analyze the Member States on 12 competitive strength criteria, and Global Competitiveness Report 2019 will serve as the basis for our study. According to our calculations, the EU Integrated Global Competitive Force Index is 72 points out of 100. Conclusion. The results of a comprehensive integrated assessment of the competitive force of 28 EU Member States demonstrate a high overall competitive force index of the grouping, indicating the EU’s impact on global competitive processes. The EU Global Competitive Force Index can be used both as an indicator of the separate international integration grouping’s development and as a global criterion for the effectiveness of interstate integration groupings in the transformation of international competitive relations. Discussion. The highlighting of the EU global competitive force is a requirement for the contemporary development of the global competitive environment, since interstate integration groupings are the main actors of the world economy, which significantly affect the distribution and growth of competitive force.
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2

Gierach, Ewelina. "Dopuszczalność członkostwa w zespołach parlamentarnych i grupach bilateralnych posłów do PE." Zeszyty Prawnicze Biura Analiz Sejmowych 1, no. 69 (2021): 169–73. http://dx.doi.org/10.31268/zpbas.2021.13.

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The author indicates that according to the provisions of the Act on the Exercise of the Mandate of a Deputy or Senator, only Deputies and Senators may form parliamentary groupings. The possibility of participation of other persons in sittings of a grouping, including taking the floor in the discussion may be included in the grouping’s internal regulations (statutes). Members of the European Parliament elected in the Republic of Poland may not be members of parliamentary groupings and bilateral groupings.
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Korotaev, Sergey A., and Elena N. Gasiukova. "Grouping of Occupations Based on Intragenerational Mobility." Changing Societies & Personalities 7, no. 4 (December 27, 2023): 71. http://dx.doi.org/10.15826/csp.2023.7.4.252.

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Occupation is a key factor in human thinking, feeling, and behavior. Theoretically derived occupational groupings or classes are typically used to transform occupations into a variable suitable for statistical manipulations. We argue that such groupings are unlikely to produce groups that are homogeneous across a broad set of attributes. Instead, we offer a data-driven approach to identify groups of occupations based on respondents’ mobility data using network analysis. The vertices of the network are codes of occupations, and the edges reflect the number of transitions between them. Using modularity maximization, we identify four communities and evaluate the stability of the resulting partition. As an example demonstrating the efficiency of the resulting grouping, we present a comparison of the predictive power of this grouping and one of the generally accepted groupings of occupations, that is ESeG (European Socio-Economic Grouping), in relation to the human attitudes and values found in previous publications. The results indicate the preference of our grouping.
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4

SHIRINOV, B., and I. SALAMOVA. "THE METHOD OF DETERMINING THE OPTIMAL NUMBER OF GROUPS IN THE STUDY OF SOCIO-ECONOMIC PHENOMENA." Economics of the transport complex, no. 43 (March 25, 2024): 144. http://dx.doi.org/10.30977/etk.2225-2304.2024.43.144.

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It is common knowledge that the separation of socio-economic event units into homogeneous groups by important characteristics is called grouping in statistics. Grouping is one of the most efficient methods of statistical data processing. Grouping is the most important stage in the study of large-scale social phenomena. In the socio-economic study of statistical data and average, relative, etc. it is necessary to use grouping in the calculation of final indicators. Namely, with the help of correct and convenient grouping, the complexity of social life events can be expressed and reflected with statistical quantities. Therefore, the method of grouping together with the method of summative statistical indicators is a tool for the correct understanding of socio-economic events and processes. Grouping is a manifestation of implementing analysis and synthesis, and at this time, the following issues are resolved: 1) Determination of socio-economic types; 2) Studying the structure of socio-economic events; 3) Studying the relationship between organized groups. In problem solving with the grouping method, the following forms of grouping are mainly used: typical, structural, analytical. By means of typical grouping, the most important statistical problem is solved: socio-economic types are determined on aggregate units, that is, separate groups qualitatively different from the aggregate are created. When grouping according to this form, the correct determination of the group sign has a special role. Based on the analysis of the content of the studied event, the basis of the grouping (that is, the main feature in the grouping) is determined. Structural groupings reflect the development of constituent parts of socio-economic events and processes or their structure according to one or another characteristic. Analytical groupings are used to study the interrelationships between phenomena and the various signs affecting them. Through such groupings, it is possible to determine the cause and effect factors influencing the development of the studied phenomenon and process. Each of the aggregate units has an individual characteristic in its development. For this reason, the absolute level of the investigated symptom is different. Those units are grouped by variation (varying) from each other according to the level of research characteristics. Such groups are called sequences of numbers. The number of units (volume) or specific weight relative to the total can be given in the series of numbers; a quality indicator that cannot be counted can also group information. According to the author, the correct determination of the optimal number of groups in the statistical study of socio-economic phenomena will give more effective results.
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5

Kimchi, Ruth, and Irene Razpurker-Apfeld. "Perceptual grouping and attention: Not all groupings are equal." Psychonomic Bulletin & Review 11, no. 4 (August 2004): 687–96. http://dx.doi.org/10.3758/bf03196621.

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6

O'rourke, Norm, and Philippe Cappeliez. "MARITAL SATISFACTION AND SELF-DECEPTION: RECONSTRUCTION OF RELATIONSHIP HISTORIES AMONG OLDER ADULTS." Social Behavior and Personality: an international journal 33, no. 3 (January 1, 2005): 273–82. http://dx.doi.org/10.2224/sbp.2005.33.3.273.

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The relationship among marital aggrandizement, satisfaction with life, and marital satisfaction is examined among an international sample of older adults (N = 400). Three distinct groupings are identified on the basis of cluster analysis. A minority of participants emerged as dissatisfied with life and marriage. This grouping (the distraught) holds realistic perceptions of their relationship history. The same is true for a larger grouping identified as the realistically content who appear satisfied with life and marriage. The largest grouping (Pollyannas) also appears highly satisfied with life and marriage. Of note, these participants also engage in selective recall negating the occurrence of negative events and perceptions of their spouse and marriage. Multivariate Analysis of Variance (MANOVA) suggests that Pollyannas convey a tendency for self-deception that distinguishes them from the other two groupings. These results are discussed in terms of demographic trends and directions for future research.
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7

Katoshevski, David. "Characteristics of Spray Grouping/ Non-Grouping Behavior." Aerosol and Air Quality Research 6, no. 1 (2006): 54–66. http://dx.doi.org/10.4209/aaqr.2006.03.0005.

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8

Istiqomah, Fikriana Nur, Made Tirta, and Dian Anggareni. "Discriminant AnalysisFor Cluster Validation In A Case Study of District Grouping In Jember Regency Based On Poverty." Jurnal ILMU DASAR 20, no. 2 (July 16, 2019): 129. http://dx.doi.org/10.19184/jid.v20i2.9862.

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Cluster validation is a procedure to evaluate the results of cluster analysis quantitively and objectively on a data. The validation process is very important to get the results of a good and appropriate grouping. In the validation process, the author uses internal validation, stability, and discriminant analysis test. This study aims to obtain validation results from the hierarchy and kmeans method. This data grouping uses “iris” simulation data, which results from the grouping method used can be applied to the original data to see which vaidation method is used for all data and produce an optimal grouping. The result of the study show that in the “iris” data, a single linkage link is an appropriate grouping method because the result of the grouping are optimal for all validations and classification of group members whose groups are significant. In District poverty data in Jember Regency with a single linkage link optimal grouping was obtained and complete linkage links were also used as a method that resulted in optimal groupig for all validation. Cluster validation discriminant analysis test is appropriate for various types of data in general annd shows that single linkage methods are better than other methods for grouping and validation methods for “iris” data and District data in Jember Regency based on variabels of poverty status. Keywords: Cluster Analysis, Diskriminant Analysis, Multivariate Analysis, Validation Cluster.
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9

Kemp, Charles, Duane W. Hamacher, Daniel R. Little, and Simon J. Cropper. "Perceptual Grouping Explains Similarities in Constellations Across Cultures." Psychological Science 33, no. 3 (February 22, 2022): 354–63. http://dx.doi.org/10.1177/09567976211044157.

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Cultures around the world organize stars into constellations, or asterisms, and these groupings are often considered to be arbitrary and culture specific. Yet there are striking similarities in asterisms across cultures, and groupings such as Orion, the Big Dipper, the Pleiades, and the Southern Cross are widely recognized across many different cultures. Psychologists have informally suggested that these shared patterns are explained by Gestalt laws of grouping, but there have been no systematic attempts to catalog asterisms that recur across cultures or to explain the perceptual basis of these groupings. Here, we compiled data from 27 cultures around the world and found that a simple computational model of perceptual grouping accounts for many of the recurring cross-cultural asterisms. Our results suggest that basic perceptual principles account for more of the structure of asterisms across cultures than previously acknowledged and highlight ways in which specific cultures depart from this shared baseline.
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10

Hallam, Susan, and Judith Ireson. "Subject domain differences in secondary school teachers' attitudes towards grouping pupils by ability." Zbornik Instituta za pedagoska istrazivanja 40, no. 2 (2008): 369–87. http://dx.doi.org/10.2298/zipi0802369h.

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Previous research has revealed that teachers' attitudes to ability grouping are influenced by the type of ability grouping adopted in the school where they teach. This research aimed to compare the attitudes of teachers of different subjects teaching low, high or mixed ability classes in years 7 to 9 in 45 secondary schools. Over 1500 teachers from 45 secondary schools, with a range of subject specialisms completed a questionnaire which elicited their responses to statements of beliefs about ability grouping and its effects. Teachers of mathematics and modern foreign languages were more in favour of structured ability grouping than those teaching English and humanities. Science, arts and PE, and ICT, design and business studies teachers expressed intermediate attitudes. Attitudes were determined in part by conceptions of the nature of the subject but also by the type of ability groupings adopted by the school in which they taught. In taking decisions about the type of ability grouping to adopt consideration needs to be given to the nature of the subject matter to be taught and the attitudes of the teachers who teach that subject.
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Ohta, Hiroyuki, Yoshiki Kitajima, Soichiro Kato, and Yutaka Igarashi. "Effects of Ball Groupings on Ball Passage Vibrations of a Linear Guideway Type Ball Bearing (Pitching and Yawing Ball Passage Vibrations)." Journal of Tribology 129, no. 1 (September 18, 2006): 188–93. http://dx.doi.org/10.1115/1.2401215.

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The effects of ball groupings on the pitching and yawing ball passage vibrations of linear guideway type ball bearings (linear ball bearings) under low-speed operation were studied. For this study, the test linear ball bearings (which can retain the ball grouping in operation) with three types of ball groupings were manufactured, and the pitching and yawing ball passage vibrations of each test linear ball bearing were measured using a laser autocollimator. Moreover, a calculation method of the ball passage vibrations for a linear ball bearing with an arbitrary ball grouping was presented. According to the presented method the ball passage vibrations for three types of ball groupings were calculated. The experimental and calculated results show that the occurrence of the pitching and yawing ball passage vibrations was affected by the ball groupings. For the occurrence, the wave forms, and the amplitude of the pitching and yawing ball passage vibrations for the ball groupings, the calculated results based on the presented method almost matched the experimental results.
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12

Yousuf, Rabeya, Nurasyikin Yusof, Nur Afifah Suhemi, Nor Fadzliana Abdullah Thalith, and Suria Abdul Aziz. "Patient with a rare weaker subgroup-A exhibiting ABO discrepancy: a case report." Bangladesh Journal of Medical Science 23, no. 2 (March 27, 2024): 546–50. http://dx.doi.org/10.3329/bjms.v23i2.72199.

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Weaker subgroups have the potential to cause problems in the immunohaematological testing in the blood banks. We report here a case of rare weaker subgroup A, detected during the usual ABO grouping. A 49-year-old lady exhibited a discrepancy in the forward and reverse groupings. In forward-grouping, there was a mixedfield reaction with anti-A and anti-A,B while there was no reaction with anti-B. The reverse grouping showed no reaction with the A1 and A2 cells, but the reaction with B-cell was 4+. Further tests were performed and revealed a weaker subgroup of A. It is crucial to properly investigate and resolve any discrepancy in ABO grouping before commencing transfusion to avoid any wrong blood transfusion. This case report may assist others in resolving the ABO blood group discrepancies. Bangladesh Journal of Medical Science Vol. 23 No. 02 April’24 Page : 546-550
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13

Averkiev, N. F., A. V. Kulvits, and T. A. Zhitnikov. "MULTILEVEL BALLISTIC STRUCTURE OF THE CLUSTER ORBITAL GROUPING OF REMOTE SENSING OF THE EARTH." Izvestiya of Samara Scientific Center of the Russian Academy of Sciences 23, no. 4 (2021): 77–85. http://dx.doi.org/10.37313/1990-5378-2021-23-4-77-85.

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The features of the application and justification of the orbital groupings of remote sensing of the Earth, consisting of clusters of small spacecraft, are considered. A review and analysis of the ballistic justification, construction and features of the use of orbital groups of remote sensing of the Earth is carried out. Modern approaches to the ballistic design of periodic review orbital groupings are considered. The article considers a new integrated approach to the ballistic construction of promising cluster orbital groupings, which will allow providing the spatio-temporal and accuracy characteristics required by the consumer, due to the optimal multi-level ballistic structure. The fundamental principles of constructing a cluster orbital grouping with a multi-level ballistic structure are formulated. The stages of the formation of a multi-level ballistic structure are considered in detail, from the standpoint of a systematic approach. A mathematical formulation of the problem and a hierarchy of performance indicators are proposed. For a meaningful description of the simulated system, a conceptual model for substantiating multi-level ballistic structures of a cluster orbital grouping of remote sensing of the Earth under the influence of the external environment has been developed. The model shows the interrelationships of the main elements of the substantiation of the ballistic structure of the cluster orbital grouping of remote sensing of the Earth and the sequence of formation of particular problems. The results of modeling both the ballistic structure of the cluster and the ballistic structure of the Earth remote sensing orbital grouping, which provides a set of tactical and technical, spatio-temporal and structurally stable consumer requirements, are presented. The effect of the application of the developed conceptual model will be the optimal strategy for the use of cluster orbital groupings of remote sensing of the Earth, which will provide the required value of its effectiveness under the influence of the external environment.
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Srebryanskaya, N. A., and E. A. Kochergina. "THE FIELD APPROACH TO THE IDENTIFICATION AND EXAMINATION OF SEMANTIC GROUPS OF LANGUAGE UNITS (BASED ON THE MATERIAL OF THE GROUP “TOYS FOR CHILDREN” IN THE ENGLISH LANGUAGE)." Modern Linguistic and Methodical-and-Didactic Researches, no. 1(40) (December 31, 2023): 34–43. http://dx.doi.org/10.36622/mlmdr.2023.18.28.003.

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Statement of the problem. The article considers various criteria for identifying groupings of linguistic units and the possibility of attributing a particular grouping to a certain type of semantic association of linguistic units. The objectives of the research are to describe the methods and the process of identifying semantic groupings of linguistic units, taking into account their various characteristics; to use the field method for identifying and describing the semantic field (SF) “Toys for children” in the English language and to define its boundaries. Results. The types of field structures and criteria for their differentiation are given. The methods of distinguishing lexical groupings and the fundamentals of the field theory are listed. The criteria to attribute the grouping of linguistic units naming children's toys to the semantic field are given. Dictionaries and websites of British and American stores containing catalogs of toys, as well as online platforms for the sale of children's toys serve as the sources of the research material. The quantity and quality of the material makes it possible to identify the SF “Toys for children" and define its boundaries. Conclusion. The group of English-language units “Toys for children” is one of the groupings that is dynamically replenished and updated as a result of linguistic and extralinguistic factors. The linguistic factors of the grouping growth include the detailing of toy names (doll: fashion doll, paddle doll, Matryoshka doll), the appearance of synonyms (Matryoshka doll, stacking dolls, nesting dolls, Russian tea dolls, Russian dolls), hyponyms and hyperonyms (vehicle: truck, car, bulldozer, tractor). The SF “Toys for children" is an open grouping as a result of its constant replenishment with new units (Aquabeads, Nerf blaster, glowpad, Magna Doodle, Neocube, Orbeez, flashlight projector.).
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Morehead, Michael, and Scott Waters. "Grouping students." Teacher Educator 21, no. 3 (December 1985): 29–32. http://dx.doi.org/10.1080/08878738509554880.

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16

Ofuji, Shigeo, and Atsuhiko Ogino. "Grouping Prurigo." Journal of Dermatology 15, no. 1 (February 1988): 60–64. http://dx.doi.org/10.1111/j.1346-8138.1988.tb03650.x.

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17

Dyke, Tara Hart. "Grouping materials." Five to Seven 1, no. 5 (September 2001): v—vii. http://dx.doi.org/10.12968/ftse.2001.1.5.16908.

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18

Sparks Linfield, Rachel. "Grouping materials." 5 to 7 Educator 2010, no. 64 (April 2010): x—xi. http://dx.doi.org/10.12968/ftse.2010.9.4.46958.

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19

Smith, Joseph A., Anthony Zietman, Eric Klein, Michael J. Droller, Prokar Dasgupta, James Catto, and Joseph A. Smith. "Stage Grouping." Journal of Urology 195, no. 6 (June 2016): 1723. http://dx.doi.org/10.1016/j.juro.2016.03.072.

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20

Darwin, Chris J. "Auditory grouping." Trends in Cognitive Sciences 1, no. 9 (December 1997): 327–33. http://dx.doi.org/10.1016/s1364-6613(97)01097-8.

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21

Herzog, Michael H. "Perceptual grouping." Current Biology 28, no. 12 (June 2018): R687—R688. http://dx.doi.org/10.1016/j.cub.2018.04.041.

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22

Vickery, Timothy J., and Yuhong V. Jiang. "Associative grouping: Perceptual grouping of shapes by association." Attention, Perception, & Psychophysics 71, no. 4 (May 2009): 896–909. http://dx.doi.org/10.3758/app.71.4.896.

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23

Froyen, V., J. Feldman, and M. Singh. "Bayesian Hierarchical Grouping: perceptual grouping as mixture estimation." Journal of Vision 14, no. 10 (August 22, 2014): 591. http://dx.doi.org/10.1167/14.10.591.

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24

Nolan, Fred. "Ability Grouping Plus Heterogeneous Grouping: Win-Win Schedules." Middle School Journal 29, no. 5 (May 1998): 14–19. http://dx.doi.org/10.1080/00940771.1998.11495914.

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Froyen, Vicky, Jacob Feldman, and Manish Singh. "Bayesian hierarchical grouping: Perceptual grouping as mixture estimation." Psychological Review 122, no. 4 (October 2015): 575–97. http://dx.doi.org/10.1037/a0039540.

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Chauhan, V. P. S., and W. G. Hill. "Seasonal grouping in a herd-year-season model of sire evaluation." Animal Science 43, no. 1 (August 1986): 63–71. http://dx.doi.org/10.1017/s000335610001833x.

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ABSTRACTAnalyses of variance were conducted using two separate random sets of data (25 158 and 24 084 records) on first-lactation, milk-production records of progeny of 69 British Friesian-Holstein proven sires in order to examine the criteria of seasonal grouping for a sire-evaluation model fitting herd-year-season as a fixed effect. Five different seasonal groupings were chosen each comprising two or three seasons with equal or unequal number of months and with different trends in production within season.The smallest herd-year × month of calving within-season interaction, smallest residual variance, largest effective number of daughters and smallest among-months, within-season variation were considered to be the appropriate criteria of seasonal grouping. None of the groupings examined satisfied all criteria. However, a small herd-year × month within season interaction and all small within-season variation would be desirable if milk records were pre-corrected for the effect of month of calving in sire evaluation, and the effective number of daughters should be large. Given this the grouping currently used in Britain (three seasons: December to March, April to July and August to November) was considered to be appropriate, although a grouping with two seasons: February to July and August to January gave similar results. The regional differences in production were observed to be large, but the region × month-of-calving interaction was small.
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Koohestani, Kambiz. "Automated element grouping and self-stress identification of tensegrities." Engineering Computations 32, no. 6 (August 3, 2015): 1643–60. http://dx.doi.org/10.1108/ec-08-2014-0165.

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Purpose – The determination of feasible self-stress modes and grouping of elements for tensegrities with predefined geometry and multiple self-stress modes is very important, though difficult, in the design of these structures. The purpose of this paper is to present a novel approach to the automated element grouping and self-stress identification of tensegrities. Design/methodology/approach – A set of feasible solutions conforming to the unilateral behaviour of elements is obtained through an optimisation process, which is solved using a genetic algorithm. Each chromosome in the population having a negative fitness is a distinctive feasible solution with its own grouping characteristic, which is automatically determined throughout the evolution process. Findings – The self-stress identification is formulated through an unconstrained minimisation problem. The objective function of this minimisation problem is defined in such a way that takes into account both the feasibility of a solution and grouping of elements. The method generates a set of feasible self-stress modes rather than a single one and automatically and simultaneously suggests a grouping of elements for every feasible self-stress mode. A self-stress mode with a minimal/subminimal grouping of elements is also obtained. Originality/value – The method can efficiently generate sets of feasible solutions rather than a single one. The authors also address one of the challenging issues related to this identification, i.e., automated grouping of elements. These features makes the method very efficient since most of the state-of-the-art methods address the self-stress identification of tensegrities based on predefined groupings of elements whilst providing only a single corresponding solution.
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Rahman, Abd. "Analysis of Self-Organizing Maps and Fuzzy C-Means methods in Clustering Teacher Data for Nominations of Candidates for Education Unit Supervisors." Kontigensi : Jurnal Ilmiah Manajemen 10, no. 2 (November 30, 2022): 431–38. http://dx.doi.org/10.56457/jimk.v10i2.356.

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The quality of education is very dependent on the management of education management one of the important factors in the management of education is monitoring and evaluation. Therefore, continuous Education Supervision supported by the appointment of competent supervisors will have implications for the quality of education. Supervision of education management is carried out by the principal or teacher appointed to carry out managerial and academic supervision in certain educational units. The problem that often occurs is that grouping teacher data to be selected as supervisor candidates are still conventional. Therefore, a teacher data grouping model is needed to obtain useful information in planning strategic steps and policy regulations for determining prospective supervisors for academic units. By utilizing Information and Communication Technology, especially in the field of Data Mining, this Teacher Data Grouping research uses the Fuzzy C-Means and Self Organizing Maps method, and the grouping results are analyzed by measuring the spread of data on each grouping formed by using cluster variance. The output of the Teacher Data grouping process using the Fuzzy C-Means and Self Organizing Maps methods can bring up a group of Teacher Data nominations that are competent to be selected as candidates for supervisors for certain educational units. The research results were obtained by forming several groupings in Fuzzy C-Means by providing an error accuracy value of 0.1 and Self Organizing Maps, which is set by the learning rate and learning rate; the results obtained are grouping with 3 clusters by providing a learning rate of 0.8 and a learning rate of 0.7 in the Self Organizing Maps method has a Variant value that is ideal compared to grouping on Fuzzy C-Means and rather than the same method by forming different groups.
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Goetz, Peggy J. "The development of verbal justifications in the conversations of preschool children and adults." First Language 30, no. 3-4 (August 2010): 403–20. http://dx.doi.org/10.1177/0142723710370522.

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This study examines verbal justifications in conversations between children and adults in four cases from the CHILDES database, from the age of 2;6 to 4;11 longitudinally. Monthly transcripts were searched for justifications, which were coded for their discourse context and divided into three age groupings. Adults produced more justifications than children during the 2;6 to 2;11 age grouping, but by 3;0 to 3;11, there was no significant difference between them. Conflicts were an important discourse context for justifications during the 2;6 to 2;11 age grouping, during the third year, questions as the discourse motivators increased, and during the 4;0 to 4;11 age grouping, justifications were mostly self-expansions. There were few sequences of justifications from 2;6 to 2;11; this changed in the third year with children’s increased questions.
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Shekhar, Vibhanshu. "Rise of Quad as a ‘Premier Regional Grouping’." Journal Of Global Strategic Studies 2, no. 2 (December 26, 2022): 37–60. http://dx.doi.org/10.36859/jgss.v2i2.1287.

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The rise of the Biden Administration in the United States has coincided with the rise of Quad as a ‘premier regional grouping’ in the Indo-Pacific region with a robust agenda of cooperation that spans across strategic, economic, technological, environmental and developmental areas. The Quad’s ambitious agenda underpins the member-states’ deliberate effort to align its two foundational bases – balancing and normative – in the grouping’s outlook. The new Quad aims at achieving three-fold objectives – limiting China’s growing influence and assertive behaviour, augmenting new technological capacity of its member-states and projecting the grouping as a provider of regional good. However, the Quad continues to face various challenges, which relate to both the intent and functional capacity of the member-states and limit the grouping’s effectiveness in achieving its vastly ambitious agenda. The success of the Quad as an informal regional grouping will depend on the member-states’ willingness to overcome differences and navigate across diverse strategic priorities to chart a shared journey.
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Kashan, Ali Husseinzadeh, Ali Akbar Akbari, and Bakhtiar Ostadi. "Grouping evolution strategies: An effective approach for grouping problems." Applied Mathematical Modelling 39, no. 9 (May 2015): 2703–20. http://dx.doi.org/10.1016/j.apm.2014.11.001.

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Abkarian, G. G. "Object Grouping Strategies by Adults." Journal of Speech and Hearing Disorders 51, no. 2 (May 1986): 110–19. http://dx.doi.org/10.1044/jshd.5102.110.

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Eighty unimpaired adult subjects were exposed to the iconic-symbolic (I-S) subtest (Muma & Muma, 1979), an instrument designed to provide evidence regarding object grouping processes in clinical populations. I-S instructions and a revised (REV) instruction were employed. Subjects were also asked to provide a rationale statement for each object grouping. The 2,880 rationale statements thus generated were analyzed on the isomorphism between the statements and the object grouping criteria presumed by the I-S test design. Significantly higher isomorphic levels occurred under REV instructions, although fewer than one-half of the REV subjects performed at the cognitive (i.e., symbolic) stage defined and predicted by the I-S protocols. Subjects demonstrated an overwhelming preference for the formation of taxonomic classes rather than for schematic-based object groupings as has been argued by some writers. Analysis of rationale statements strongly suggested that three major strategies were employed by individual subjects in the establishment of object classes: an intensional, an extensional, and a mixed intensional-extensional strategy. It was concluded that (a) adult subjects show a range of classification strategies, (b) those strategies are best described by using something other than an iconic-symbolic dichotomy, and (c) classification tasks devoid of a rationale component may foster incomplete and potentially distorted conclusions concerning grouping abilities and underlying processes.
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Tolok, I., and Ye Lienkov. "ALGORITHMS FOR MODELING PROCESS SPENDING AND REPLENISHMENT OF RESOURCE GROUPING TECHNOLOGY." Collection of scientific works of the Military Institute of Kyiv National Taras Shevchenko University, no. 64 (2019): 61–70. http://dx.doi.org/10.17721/2519-481x/2019/64-07.

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This article explores the basic initial steps for constructing an enlarged structural diagram of an algorithm for modeling the processes of spending and replenishing resource of a grouping military objects in normative planning mode. The organizations responsible for operating the groupings have an important task of timely planning for repair of weapons and military equipment (WME) and military equipment and supplies to the grouping of new objects. Obviously, solution of such a problem is possible only on the basis of applying a mathematical model process of expenditure and replenishment of resource (PERR) of grouping objects, with which you can predict the composition and resource of the grouping, and taking into account the forecast obtained, find (calculate) optimal plans for replenishing its resource. The article shows the results of studies various groups in terms of elucidating patterns of the occurrence of PERR in them. To do this, using the model, various grouping options can be generated with the specified characteristics, as well as calculating the optimal plans for replenishing resource for a specific group of military equipment (user groups), save these plans in a database, and then make refinement calculations taking into account current changes in grouping. It is assumed that by the time this algorithm is launched, all the necessary data structures have already been created in random access memory of the personal computer, user has already selected an implementation option for the grouping for which simulation is performed. Also, the number of implementations of modeling process and coefficient specifying range of variation limit on the consumption of resource objects (in percent) are given. In each iteration, process of PERR objects the i-th type is simulated at a given forecast interval
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34

Hu, Zhan, Yishan Zhang, and Rong Tang. "Patterns of Community‐Based Data in the US State‐Level COVID‐19 Dashboards: Groupings, Inconsistencies and Gaps." Proceedings of the Association for Information Science and Technology 60, no. 1 (October 2023): 983–85. http://dx.doi.org/10.1002/pra2.919.

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ABSTRACTIn this poster, we report the results of a research study examining the presence of demographic data and other community‐based data and their grouping in visualization on the COVID‐19 dashboards developed by the 50 state governments across the USA and the government of District of Columbia. It was found that while all dashboards included some level of demographic data, there is notable inconsistency in the groupings, and a very limited number of the state‐level dashboards included visualization filtering beyond the basic demographic attributes. Several dashboards included additional data grouping capabilities such as underlying health conditions, residence/business clusters, employment status, or social vulnerability index. Both the inconsistency/gaps in demographic grouping and the fact that only a handful dashboards contained further community‐based information shows the lack of awareness of state government on the importance of incorporating detailed grouping in demographic data as well as other community‐based datasets. Public health dashboards, including those reflecting emergency or crisis situations such as COVID‐19 dashboards, are in serious need to accurately, comprehensively, and inclusively represent and display the data patterns of all members of the community, especially the often overlooked and marginalized communities.
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35

McKay, Alan. "Multi-age grouping." Set: Research Information for Teachers, no. 1 (June 1, 1996): 1–4. http://dx.doi.org/10.18296/set.0908.

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Sato, Tosiya. "Grouping small institutions." Japanese Journal of Biometrics 24, Special_Issue (2003): S33—S38. http://dx.doi.org/10.5691/jjb.24.s33.

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37

Essary, David, and Ahmed Amer. "Predictive data grouping." ACM Transactions on Storage 4, no. 1 (May 2008): 1–23. http://dx.doi.org/10.1145/1353452.1353454.

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38

Vickery, Timothy J. "Induced Perceptual Grouping." Psychological Science 19, no. 7 (July 2008): 693–701. http://dx.doi.org/10.1111/j.1467-9280.2008.02144.x.

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39

Slavin, Robert E. "Grouping for Instruction." Equity & Excellence in Education 23, no. 1-2 (January 1987): 31–36. http://dx.doi.org/10.1080/1066568870230106.

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40

Bayus, Barry L., and Carolyn C. Carlstrom. "Grouping durable goods." Applied Economics 22, no. 6 (June 1990): 759–74. http://dx.doi.org/10.1080/00036849000000016.

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41

Macqueen, Suzanne Elizabeth. "Grouping for inequity." International Journal of Inclusive Education 17, no. 3 (March 2013): 295–309. http://dx.doi.org/10.1080/13603116.2012.676088.

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Finning, Kirstin, and Geoff Daniels. "Molecular blood grouping." Transfusion and Apheresis Science 50, no. 2 (April 2014): 146–47. http://dx.doi.org/10.1016/j.transci.2014.02.010.

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43

Colby, Helen, Jeff DeWitt, and Gretchen B. Chapman. "Grouping Promotes Equality." Psychological Science 26, no. 7 (June 15, 2015): 1084–89. http://dx.doi.org/10.1177/0956797615583978.

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Zdravković, Sunčica, Elias Economou, and Alan Gilchrist. "Grouping illumination frameworks." Journal of Experimental Psychology: Human Perception and Performance 38, no. 3 (June 2012): 776–84. http://dx.doi.org/10.1037/a0026335.

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Yan, K. Q., and S. C. Wang. "Grouping Byzantine Agreement." Computer Standards & Interfaces 28, no. 1 (July 2005): 75–92. http://dx.doi.org/10.1016/j.csi.2004.09.001.

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Manassi, M., A. Clarke, V. Chicherov, and M. H. Herzog. "Crowding, grouping, timing." Journal of Vision 14, no. 10 (August 22, 2014): 211. http://dx.doi.org/10.1167/14.10.211.

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47

Weiss, Lionel. "Asymptotically sufficient grouping." Naval Research Logistics 40, no. 3 (April 1993): 425–29. http://dx.doi.org/10.1002/1520-6750(199304)40:3<425::aid-nav3220400310>3.0.co;2-5.

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48

Anandhalli, Mallikarjun, and Vishwanath P. Baligar. "An Approach to Detect Vehicles in Multiple Climatic Conditions Using the Corner Point Approach." Journal of Intelligent Systems 27, no. 3 (July 26, 2018): 363–76. http://dx.doi.org/10.1515/jisys-2016-0073.

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Abstract This paper presents a new method of detecting vehicles by using a simple and effective algorithm. The features of a vehicle are the most important aspects in detection of vehicles. The corner points are considered for the proposed algorithm. A large number of points are densely packed within the area of a vehicle, and the points are calculated by using the Harris corner detector. Making use of the fact that they are densely packed, grouping of these points is carried out. This grouping indicates that the group of corners belongs to each vehicle, and such groupings play a vital role in the algorithm. Once grouping is done, the next step is to eliminate the background noise. The Lucas-Kande algorithm is used to track the extracted corner points. Each corner point of the vehicle is tracked to make the output stable and reliable. The proposed algorithm is new, detect vehicles in multiple conditions, and also works for complex environments.
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Krishna, B. Murali, CH Surendra, K. Mani Varma, K. Mani Kanta, S. K. Shabbeer, and G. L. Madhumati. "FPGA Based Data Hiding Methods using DNA Cryptography Techniques." International Journal of Reconfigurable and Embedded Systems (IJRES) 5, no. 3 (August 21, 2016): 141. http://dx.doi.org/10.11591/ijres.v5.i3.pp141-147.

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<p>To convey the information safely DNA grouping mechanisms are used. There are many methods used by DNA sequences. The proposed method is of both encryption and information concealing utilizing a few properties of Deoxyribonucleic Acid (DNA) groupings. This technique is highlighted that DNA groupings have many more intriguing properties which are used for concealing the information. There are three strategies in this encryption strategy: the Insertion Technique, the Complimentary Pair Technique and the Substitution Strategy .For every single strategy, a specific reference DNA grouping P is chosen and then the taken sequence is changed over with the mystery message M and is consolidated, so that P0 is acquired. P0 is then sent to the collector and the beneficiary can recognize and separate the message M covered up in P. This technique is proposed to utilize INSERTION Strategy. Subsequently, the proposed plan comprises for the most part of two stages. In the principal stage, the mystery information is encoded utilizing a DNA Sequence. In the second stage the encoded information is steganographically covered up into some reference DNA grouping utilizing an insertion strategy. The effectiveness of this security algorithm is seen with many merits and limitations. A, C, G, and T are the 4 nucleotides which are taken for this project.</p>
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Wu, Xiuyun, Arto Ohinmaa, Paul J. Veugelers, and Katerina Maximova. "Health-Related Quality of Life in Relation to Health Behaviour Patterns among Canadian Children." Children 11, no. 3 (March 14, 2024): 346. http://dx.doi.org/10.3390/children11030346.

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Poor health behaviours in childhood, including sedentary behaviour, low physical activity levels, inadequate sleep, and unhealthy diet, are established risk factors for both chronic diseases and mental illness. Scant studies have examined the importance of such health behaviour patterns for health-related quality of life (HRQoL). This study aimed to examine the association of health behaviour patterns with HRQoL among Canadian children. Data from 2866 grade five students were collected through a provincially representative school-based survey of the 2014 Raising Healthy Eating and Active Living Kids in Alberta study. Latent class analysis was used to identify health behaviour patterns based on 11 lifestyle behaviours: sedentary behaviour (using a computer, playing video games, watching TV), physical activity (with and without a coach), sleep (bedtime on weekdays and weekends), and diet (fruit and vegetables intake, grain products, milk and alternatives, meat and alternatives). Multivariable multilevel logistic regression was applied to examine the associations of health behaviour patterns with HRQoL. Three groupings with distinct health behaviour patterns were identified: the first grouping (55%) is characterized by relatively healthy levels of sedentary behaviour, physical activity, and sleep, but a less healthy diet (“activity-focused” group). The second grouping (24%) is characterized by a relatively healthy diet, but moderately healthy levels of sedentary behaviour, physical activity, and sleep (“diet-focused” group). The third grouping (21%) is characterized by mostly unhealthy behaviours (“not health-focused” group). Students in the third and second groupings (“not health-focused” and “diet-focused”) were more likely to report lower HRQoL relative to students in the first grouping (“activity-focused”). The findings suggest that health promotion strategies may be more effective when considering the patterns of health behaviours as distinct targets in the efforts to improve HRQoL. Future research should include prospective observational and intervention studies to further elucidate the relationship between health behaviour patterns and HRQoL among children.
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