The role of computer-assisted analysis in the evaluation of nuclear characteristics for the diagnosis of precancerous and cancerous lesions by contact laryngoscopy

2008 ◽  
Vol 53 (2) ◽  
Author(s):  
W Tarnawski ◽  
M Frączek ◽  
M Jeleń ◽  
T Kręcicki ◽  
M Zalesska-Kręcicka
Keyword(s):  
Computer Assisted ◽  
Cancerous Lesions ◽  
Assisted Analysis

Plagiaatbestrijding en analyse van oude bijbelvertalingen. Computationele tekstvergelijking in onderwijs en onderzoek

2009 ◽  
Vol 63 (1) ◽  
pp. 22-36
Author(s):  
W.Th. (Wido) van Peursen
Keyword(s):  
Hebrew Bible ◽  
Textual Analysis ◽  
The Internet ◽  
Computer Assisted ◽  
Digital Text ◽  
Assisted Analysis

Antiplagiarism software involves the comparison of various texts and the measurement of percentages of agreement and disagreement in order to establish dependency relationships, that is, to find out whether one text (e.g. a student’s paper) is based on another text (e.g. another student’s paper or a text on the internet). In the computer-assisted analysis of the Hebrew Bible and its ancient versions, the computer is used in a similar way to measure distances between texts and to establish relationships of dependency. Comparing these two applications of digital text comparison is helpful to illuminate the role of the computer functions of calculation and sorting in textual analysis.

Qualitative analysis

2021 ◽  
pp. 231-258
Author(s):  
Aaron Williamon ◽  
Jane Ginsborg ◽  
Rosie Perkins ◽  
George Waddell
Keyword(s):  
Qualitative Analysis ◽  
Lived Experience ◽  
Thematic Analysis ◽  
Interpretative Phenomenological Analysis ◽  
Phenomenological Analysis ◽  
Computer Assisted ◽  
Qualitative Synthesis ◽  
Music Research ◽  
Assisted Analysis

Chapter 9 of Performing Music Research introduces the characteristics of qualitative analysis, focusing on the interpretative role of the researcher. Given that large volumes of information are typically collected in qualitative enquiry, the chapter presents ways of organizing and storing data and discusses the strengths and limitations of computer-assisted analysis. It goes on to discuss three types of qualitative analysis: thematic analysis, suitable for identifying patterns of meaning across data collected from multiple participants; interpretative phenomenological analysis (IPA), suitable for understanding the lived experience of individual participants; and qualitative synthesis, suitable for developing a holistic account based on a synthesis of the data. Throughout, the chapter explains how to report qualitative results efficiently and effectively.

Computer-Assisted Analysis of Multi-Color Confocal Microscopic Datasets: Automated Light Microscopic Discrimination of Synaptic Relationships

1996 ◽  
Vol 54 ◽  
pp. 284-285
Author(s):  
M Wessendorf ◽  
A Beuning ◽  
D Cameron ◽  
J Williams ◽  
C Knox
Keyword(s):  
Nerve Fibers ◽  
Confocal Scanning Laser Microscopy ◽  
Computer Assisted ◽  
Nerve Terminals ◽  
Neuronal Somata ◽  
Scanning Laser Microscopy ◽  
Confocal Scanning ◽  
Entire Cell ◽  
Confocal Scanning Laser ◽  
Assisted Analysis

Multi-color confocal scanning-laser microscopy (CSLM) allows examination of the relationships between neuronal somata and the nerve fibers surrounding them at sub-micron resolution in x,y, and z. Given these properties, it should be possible to use multi-color CSLM to identify relationships that might be synapses and eliminate those that are clearly too distant to be synapses. In previous studies of this type, pairs of images (e.g., red and green images for tissue stained with rhodamine and fluorescein) have been merged and examined for nerve terminals that appose a stained cell (see, for instance, Mason et al.). The above method suffers from two disadvantages, though. First, although it is possible to recognize appositions in which the varicosity abuts the cell in the x or y axes, it is more difficult to recognize them if the apposition is oriented at all in the z-axis—e.g., if the varicosity lies above or below the neuron rather than next to it. Second, using this method to identify potential appositions over an entire cell is time-consuming and tedious.

Collection of Ego-Centered Network Data with Computer-Assisted Interviews

Methodology ◽  
2006 ◽  
Vol 2 (1) ◽  
pp. 7-15 ◽  
Author(s):  
Joachim Gerich ◽  
Roland Lehner
Keyword(s):  
Survey Methods ◽  
A Priori ◽  
Dynamic Structure ◽  
Computer Assisted ◽  
Network Data ◽  
Great Effort ◽  
Self Administration ◽  
Face To Face ◽  
Full Network

Although ego-centered network data provide information that is limited in various ways as compared with full network data, an ego-centered design can be used without the need for a priori and researcher-defined network borders. Moreover, ego-centered network data can be obtained with traditional survey methods. However, due to the dynamic structure of the questionnaires involved, a great effort is required on the part of either respondents (with self-administration) or interviewers (with face-to-face interviews). As an alternative, we will show the advantages of using CASI (computer-assisted self-administered interview) methods for the collection of ego-centered network data as applied in a study on the role of social networks in substance use among college students.

scholarly journals Syllabification of the Divine Comedy

2021 ◽  
Vol 14 (3) ◽  
pp. 1-26
Author(s):  
Andrea Asperti ◽  
Stefano Dal Bianco
Keyword(s):  
Text Processing ◽  
Solution Space ◽  
Generative Models ◽  
Divine Comedy ◽  
Point Of View ◽  
Computer Assisted ◽  
Wide Range ◽  
The Divine Comedy ◽  
Left And Right ◽  
Assisted Analysis

We provide a syllabification algorithm for the Divine Comedy using techniques from probabilistic and constraint programming. We particularly focus on the synalephe , addressed in terms of the "propensity" of a word to take part in a synalephe with adjacent words. We jointly provide an online vocabulary containing, for each word, information about its syllabification, the location of the tonic accent, and the aforementioned synalephe propensity, on the left and right sides. The algorithm is intrinsically nondeterministic, producing different possible syllabifications for each verse, with different likelihoods; metric constraints relative to accents on the 10th, 4th, and 6th syllables are used to further reduce the solution space. The most likely syllabification is hence returned as output. We believe that this work could be a major milestone for a lot of different investigations. From the point of view of digital humanities it opens new perspectives on computer-assisted analysis of digital sources, comprising automated detection of anomalous and problematic cases, metric clustering of verses and their categorization, or more foundational investigations addressing, e.g., the phonetic roles of consonants and vowels. From the point of view of text processing and deep learning, information about syllabification and the location of accents opens a wide range of exciting perspectives, from the possibility of automatic learning syllabification of words and verses to the improvement of generative models, aware of metric issues, and more respectful of the expected musicality.

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