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Isah Cahyani
2020 BAHTERA : Jurnal Pendidikan Bahasa dan Sastra  
The data were analyzed through several steps: categorizing, interpreting and validating data.  ...  The students showed their inability of writing persuasive texts in accordance with the generic structures and language uses.  ...  11% of the texts were categorized into 1,67-2,00 (C).  ... 
doi:10.21009/bahtera.191.09 fatcat:q3x5d44ahvbhtnl2x5lmnslk34

Changing Students' Perceptions of Matter through the Educational Model of Microcosm

2017 International Journal of Science and Research (IJSR)  
They were administered a categorization task and a conception of matter task.  ...  In this paper we investigate whether a teaching intervention based on the model of the microcosm can help students of elementary school recategorize substances based on their molecular structure instead  ...  to categorizations based on their microscopic structure.  ... 
doi:10.21275/art20164253 fatcat:qov6kjzzhrdczhp7j2nc6g7dma

Automorphism Groups of Substructure Lattices of Vector Spaces in Computable Algebra [chapter]

Rumen Dimitrov, Valentina Harizanov, Andrei Morozov
2016 Lecture Notes in Computer Science  
"Index sets for ndecidable structures categorical relative to m-decidable presentations," Algebra and Logic 54 (2015), pp. 520-528 (Russian); pp. 336-341 (English translation). 55. W. Calvert, V.  ...  Turetsky, "Computability-theoretic categoricity and Scott families," 25 pages, submitted. 61. J. Chubb, M. Dabkowski, and V.  ...  Morozov, "Effective categoricity of Abelian pgroups," Annals of Pure and Applied Logic 159 (2009), pp. 187-197. 39. J. Chubb, A. Frolov, and V.  ... 
doi:10.1007/978-3-319-40189-8_26 fatcat:2p5s2kf5xzfwfdf7zakfx43mpy

Categorization of Metalloboranes using Skeletal Numbers

Enos Masheija Rwantale Kiremire
2019 International Journal of Chemistry and Research  
The isomeric skeletal structures so constructed obey the 8 or 18 electron rule as defined by coordination theory.  ...  Metalloboranes have been analyzed and categorized using skeletal numbers.  ...  The 4N series approach was earlier applied to categorize metalloboranes.  ... 
doi:10.18689/ijcr-1000105 fatcat:qbkwrmfmtrg7bggc2tff6lohtm

Towards shape-based visual object categorization for humanoid robots

D. Gonzalez-Aguirre, J. Hoch, S. Rohl, T. Asfour, E. Bayro-Corrochano, R. Dillmann
2011 2011 IEEE International Conference on Robotics and Automation  
Finally, the visual categorization was successfully performed with a variety of features and classifiers allowing proper categorization of unknown objects even when object appearance and shape substantially  ...  In this work, a shape model-based approach using stereo vision and machine learning for object categorization is introduced.  ...  In [10] and [11] , point clouds were obtained from the objects using structured light projection and stereo camera on a mobile robot.  ... 
doi:10.1109/icra.2011.5980065 dblp:conf/icra/Gonzalez-AguirreHRABD11 fatcat:sucl2tjd6zhwnawberm6tzpqqi

Measuring Inter-observer Agreement in Contour Delineation of Medical Imaging in a Dummy Run Using Fleiss' Kappa*

G. Rücker, T. Schimek-Jasch, U. Nestle
2012 Methods of Information in Medicine  
ǠTable 1 shows a detail from this data structure for n = 11 observers. Each row corresponds to a voxel of the given slice, here slice No. 84. Columns '1' to '11' correspond to observers 1 to 11.  ...  It is often applied when the interest is in measuring agreement between two observers who categorize a number of subjects (e.g., patients) into one of a finite number of discrete categories (e.g., disease  ... 
doi:10.3414/me12-01-0005 pmid:23160666 fatcat:pcilobljeza53ln3cdv7kt5z2e

An Efficient Categorization of the Instructions Based on Binary Excutables for Dynamic Software Birthmark

Donghoon Lee, Younsung Choi, Jaewook Jung, Jiye Kim, Dongho Won
2015 International Journal of Information and Education Technology  
In addition, extraction method using grammar structure or opcode could increase similarity but it decreases resilience, thereby causing different extraction result even for program with same structure.  ...  This paper proposes a method that can simultaneously satisfy resilience and uniqueness by reflecting unique characteristics while maintaining the meaning of instruction through the categorization according  ...  In addition, there is a method of extracting through other elements such as grammar structure or branch processing sentence structure.  ... 
doi:10.7763/ijiet.2015.v5.570 fatcat:vtpum2k4mnenjanyzkubc6k47y

An Empirical Perusal of Distance Measures for Clustering with Big Data Mining

2019 International Journal of Engineering and Advanced Technology  
All clustering taxonomies such as partition, hierarchical, density, grid, model, fuzzy and graphs used to distance measures for the data point's categorization under difference cluster, cluster construction  ...  From a theoretically, practically and the existing research perspective, the paper focuses on volume, variety, and velocity big data criterion for identifying a distance measure for the big data mining  ...  In the big data perspective, data management technologies must be capable of managing structured, unstructured and semi-structured data with high volume, processed any data in less time with high data  ... 
doi:10.35940/ijeat.f8078.088619 fatcat:56ukabvgrve23imegmssw2nnmm

Page 646 of Contemporary Psychology Vol. 40, Issue 7 [page]

1995 Contemporary Psychology  
Psychiatry has maintained a com- mittee-derived system of 10 to 11 PDs (e.g., American Psychiatric Association, 1994), a typology consistent with the categorical medical model of diagnosis.  ...  dimensional than categorical, and are summarized in the FFM.  ... 

Comparison of Weighted Least Squares and Robust Estimation in Structural Equation Modeling of Ordinal Categorical Data with Larger Sample Sizes

2020 Cumhuriyet Science Journal  
The effect of different sample sizes on estimation methods such as weighted least squares and robust weighted least squares that are used in structural equation modeling was studied and compared using  ...  It can be investigated that how these indices perform in different sample volumes by the structural equation model in categorical data.  ...  They applied to continuous variables are not appropriate for categorical data. Therefore, it increases the importance of methods within the scope of "Categorical Data Analysis" [1] [2] [3] [4] .  ... 
doi:10.17776/csj.648054 fatcat:i2f3fmmxffg6hbqx5hruykvj3e

MSC volume 4 issue 2 Cover and Back matter

1994 Mathematical Structures in Computer Science  
IP address:, on 01 May 2019 at 11:14:29, subject to the Cambridge Core terms of use, MSCS fUNE 1994 VOLUME 4 NUMBER 2 CONTENTS Partial hyperdoctrines: categorical models for partial function  ...  This textbook explains the basic principles of categorical type theory and the techniques used to derive categorical semantics for specific type theories.  ... 
doi:10.1017/s0960129500000402 fatcat:ihifwy3jczeaxl4jg265w3ei44

Page 1745 of The Journal of Applied Ecology Vol. 45, Issue 6 [page]

2008 The Journal of Applied Ecology  
Outcrop complexity* Categorical Outcrop patch size (ha) Continuous Rock class coxer* Continuous Biotic variables Vegetation type Categorical Vegetation structure Categorical Vegetation remnant patch size  ...  Journal of Applied Ecotoyy. 45. 1742 -1752  ... 

Categorization of Innovation concepts for Sustainable Improvement

Perfect knowledge in innovation concepts and their categorization is crucial in applying them in the most effective way.  ...  Sound knowledge on different innovation concepts, their interrelationships and categorization are imperative in constructive decision making, which enhances the ability of applying the most appropriate  ...  [11, 12, 13, 17, 18, 19, 21, 23, 24, 28, 31, 32, 33, 36, 37, 41, 43, 45, 46, 52] .  ... 
doi:10.35940/ijitee.a5296.119119 fatcat:o4tzbcsdcrahfeblryttyphjhu

Development of Scale Invariant lens Opacity Estimation System using Hough Circle Detection Transform, Normalization and Entropy

A. B. Jagadale, S. S. Sonavane, D. V. Jadhav
This system easily categorize lens opacity based on structural features of opacity in one of three grades such as "No cataract", "Cortical cataract" or "Nuclear cataract".  ...  It is used to detect and categorize lens opacity or cataract.  ...  Lens opacity detection and cataract classification Lens opacity is categorized based on comparison of entropy of structural features. Opacity at center is named as "nuclear cataract".  ... 
doi:10.35940/ijitee.e8614.0210421 fatcat:qlzl76ofw5bv5ljd3nny6bpqfq

New MR Imaging Assessment Tool to Define Brain Abnormalities in Very Preterm Infants at Term

H. Kidokoro, J.J. Neil, T.E. Inder
2013 American Journal of Neuroradiology  
Intraventricular and/or parenchymal hemorrhage was associated with cerebellar signal abnormality and volume reduction.  ...  Current MR imaging injury assessment scales are subjective and are challenging to apply.  ...  related to volume.  ... 
doi:10.3174/ajnr.a3521 pmid:23620070 pmcid:PMC4163698 fatcat:ie6ucfyok5as5f7rpe7fuyceg4
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