scholarly journals Discovering Areas of Interest Using a Semantic Geo-Clustering Approach

2016 ◽  
pp. 490-498 ◽  
Author(s):  
Evaggelos Spyrou ◽  
Apostolos Psallas ◽  
Vasileios Charalampidis ◽  
Phivos Mylonas
Keyword(s):  
Clustering Approach ◽  
Areas Of Interest

scholarly journals A Geo-Clustering Approach for the Detection of Areas-of-Interest and Their Underlying Semantics

Algorithms ◽  
2017 ◽  
Vol 10 (1) ◽  
pp. 35 ◽  
Author(s):  
Evaggelos Spyrou ◽  
Michalis Korakakis ◽  
Vasileios Charalampidis ◽  
Apostolos Psallas ◽  
Phivos Mylonas
Keyword(s):  
Clustering Approach ◽  
Areas Of Interest

Selection and Preparation of Specific Tissue Regions For Tem Using Large Epoxy-Embedded Blocks

1973 ◽  
Vol 31 ◽  
pp. 324-325 ◽  
Author(s):  
P. M. Lowrie ◽  
W. S. Tyler
Keyword(s):  
Electron Microscopy ◽  
Anatomical Structures ◽  
Ultrastructural Studies ◽  
Transmission Electron ◽  
Microscopic Evaluation ◽  
Embedded Blocks ◽  
Specific Tissue ◽  
Definition Of ◽  
Areas Of Interest ◽  
Selection Of

The importance of examining stained 1 to 2μ plastic sections by light microscopy has long been recognized, both for increased definition of many histologic features and for selection of specimen samples to be used in ultrastructural studies. Selection of specimens with specific orien ation relative to anatomical structures becomes of critical importance in ultrastructural investigations of organs such as the lung. The uantity of blocks necessary to locate special areas of interest by random sampling is large, however, and the method is lacking in precision. Several methods have been described for selection of specific areas for electron microscopy using light microscopic evaluation of paraffin, epoxy-infiltrated, or epoxy-embedded large blocks from which thick sections were cut. Selected areas from these thick sections were subsequently removed and re-embedded or attached to blank precasted blocks and resectioned for transmission electron microscopy (TEM).

Precipitation in silicon: Microanalysis

1988 ◽  
Vol 46 ◽  
pp. 474-475
Author(s):  
R.W. Carpenter
Keyword(s):  
Transition Metals ◽  
Spatial Resolution ◽  
Thin Foil ◽  
Precipitation Reaction ◽  
High Current ◽  
Reaction Products ◽  
Carbon And Nitrogen ◽  
Dielectric Layers ◽  
Precipitation Processes ◽  
Areas Of Interest

Interest in precipitation processes in silicon appears to be centered on transition metals (for intrinsic and extrinsic gettering), and oxygen and carbon in thermally aged materials, and on oxygen, carbon, and nitrogen in ion implanted materials to form buried dielectric layers. A steadily increasing number of applications of microanalysis to these problems are appearing. but still far less than the number of imaging/diffraction investigations. Microanalysis applications appear to be paced by instrumentation development. The precipitation reaction products are small and the presence of carbon is often an important consideration. Small high current probes are important and cryogenic specimen holders are required for consistent suppression of contamination buildup on specimen areas of interest. Focussed probes useful for microanalysis should be in the range of 0.1 to 1nA, and estimates of spatial resolution to be expected for thin foil specimens can be made from the curves shown in Fig. 1.

Bilingual and Monolingual Students' Perceptions of the CSD Major: A Qualitative Study

2015 ◽  
Vol 18 (1) ◽  
pp. 16-31 ◽  
Author(s):  
Flora Keshishian ◽  
Rebecca Wiseheart
Keyword(s):  
Qualitative Study ◽  
Undergraduate Students ◽  
Critical Role ◽  
School Setting ◽  
The United States ◽  
Bilingual Students ◽  
Speech Language Pathology ◽  
Diverse Environment ◽  
Language Pathology ◽  
Areas Of Interest

There is a growing demand for bilingual services in speech-language pathology and audiology. To meet this growing demand, and given their critical role in the recruitment of more bilingual professionals, higher education institutions need to know more about bilingual students' impression of Communication Sciences and Disorders (CSD) as a major. The purpose of this qualitative study was to investigate bilingual and monolingual undergraduate students' perceptions of the CSD major. One hundred and twenty-two students from a large university located in a highly multicultural metropolitan area responded to four open-ended questions aimed at discovering students' major areas of interest (and disinterest) as well as their motivations for pursuing a degree in CSD. Consistent with similar reports conducted outside the United States, students from this culturally diverse environment indicated choosing the major for altruistic reasons. A large percentage of participants were motivated by a desire to work with children, but not in a school setting. Although 42% of the participants were bilingual, few indicated an interest in taking an additional course in bilingual studies. Implications of these findings as well as practical suggestions for the recruitment of bilingual students are discussed.

Jaunu burtu veidošana ar diakritiskajām zīmēm latviešu valodas kā svešvalodas apguvēju tekstos

2020 ◽  
pp. 102-110 ◽  
Author(s):  
Inga Kaija
Keyword(s):  
Quantitative Analysis ◽  
Foreign Language ◽  
Computer Science ◽  
Individual Feature ◽  
Common Occurrence ◽  
Average Amount ◽  
Learner Corpus ◽  
Diacritical Mark ◽  
Areas Of Interest ◽  
Larger Sample

A Latvian learner corpus “LaVA” is being built in the Institute of Mathematics and Computer Science, University of Latvia. The corpus includes texts written by beginner learners in the first two semesters of learning Latvian as a foreign language. The texts are written by hand and digitized afterwards in order to reduce the issues that could be caused by the necessity to learn not only writing itself but also using a foreign keyboard. One of the features that cannot be digitized is the new letters created by adding diacritical marks which are not used that way in the standard Latvian alphabet. Since one of the essential steps in learning to write in a language is learning the letters and diacritical marks of that language, this study aims to find instances of such newly made letters and to discuss the basic quantitative measures in order to define hypotheses and areas of interest for further research of such usage. Altogether 322 texts were searched, and 175 examples were found. The amount of examples found in 2nd semester texts was less than half the amount of examples found in the 1st semester texts, but the percentage of texts containing examples was higher than expected – more than 33 % in the 1st semester and almost 20 % in the 2nd semester. It leads to a conclusion that this is quite a common occurrence but also prone to reduction in the second semester. The corpus does not provide any data on later semesters so it cannot be predicted when such instances should become a rare, individual feature rather than a common one. The average amount of examples in a text is not high, though. Counting only the texts where at least one example was found, the average amount of examples per text is 2.136 in the 1st semester and 1.690 in the 2nd semester. Considering that the absolute lowest possible value here is 1, it should not be considered as a high value. Therefore, using diacritical marks to make new letters, while a common feature of the Latvian interlanguage, could be characterized as casual rather than systemic. However, that does not exclude the possibility of certain patterns in usage. The currently collected data already shows that there are some words – such as garšo, viņš, ļoti, četri – where examples were found in more than one author’s text. Examples of using unsuitable diacritical marks are also sometimes found next to letters for which said diacritical marks would be suitable. This should be explored more thoroughly using qualitative methods. The size of the corpus keeps growing; the expected size upon completion is 1000 texts. When it is reached, it would be useful to repeat the study and check whether the larger amount of data still confirms the same assumptions. The larger sample size would also allow for more detailed quantitative analysis discussing each letter, diacritical mark, placement of the diacritical mark, and metadata collected for the corpus, such as gender, native language and other spoken languages by the authors of the texts.

Optimal Model-Free Approach Based on MDL and CHL for Active Brain Identification in fMRI Data Analysis

2020 ◽  
Vol 16 ◽  
Author(s):  
Hussain A. Jaber ◽  
Ilyas Çankaya ◽  
Hadeel K. Aljobouri ◽  
Orhan M. Koçak ◽  
Oktay Algin
Keyword(s):  
Data Analysis ◽  
Time Course ◽  
Extreme Values ◽  
Statistical Parametric Mapping ◽  
Fmri Data ◽  
Cluster Center ◽  
Jaccard Coefficient ◽  
Neural Gas ◽  
Model Free ◽  
Clustering Approach

Background: Cluster analysis is a robust tool for exploring the underlining structures in data and grouping them with similar objects. In the researches of Functional Magnetic Resonance Imaging (fMRI), clustering approaches attempt to classify voxels depending on their time-course signals into a similar hemodynamic response over time. Objective: In this work, a novel unsupervised learning approach is proposed that relies on using Enhanced Neural Gas (ENG) algorithm in fMRI data for comparison with Neural Gas (NG) method, which has yet to be utilized for that aim. The ENG algorithm depends on the network structure of the NG and concentrates on an efficacious prototype-based clustering approach. Methods: The comparison outcomes on real auditory fMRI data show that ENG outperforms the NG and statistical parametric mapping (SPM) methods due to its insensitivity to the ordering of input data sequence, various initializations for selecting a set of neurons, and the existence of extreme values (outliers). The findings also prove its capability to discover the exact and real values of a cluster number effectively. Results: Four validation indices are applied to evaluate the performance of the proposed ENG method with fMRI and compare it with a clustering approach (NG algorithm) and model-based data analysis (SPM). These validation indices include the Jaccard Coefficient (JC), Receiver Operating Characteristic (ROC), Minimum Description Length (MDL) value, and Minimum Square Error (MSE). Conclusion: The ENG technique can tackle all shortcomings of NG application with fMRI data, identify the active area of the human brain effectively, and determine the locations of the cluster center based on the MDL value during the process of network learning.

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