222,152 research outputs found
Measuring and analyzing German and Spanish customer satisfaction of using the iPhone 4S Mobile Cloud service
No full textThis paper presents the customer satisfaction analysis for measuring popularity in the Mobile Cloud, which is an emerging area in the Cloud and Big Data Computing. Organizational Sustainability Modeling (OSM) is the proposed method used in this research. The twelve-month of German and Spanish consumer data are used for the analysis to investigate the return and risk status associated with the ratings of customer satisfaction in the iPhone 4S Mobile Cloud services. Results show that there is a decline in the satisfaction ratings in Germany and Spain due to economic downturn and competitions in the market, which support our hypothesis. Key outputs have been explained and they confirm that all analysis and interpretations fulfill the criteria for OSM. The use of statistical and visualization method proposed by OSM can expose unexploited data and allows the stakeholders to understand the status of return and risk of their Cloud strategies easier than the use of other data analysis
Going Beyond Counting First Authors in Author Co-citation Analysis
No full textThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Materials for Chang et al. (2011), Chang & Yao (2016, 2019, 2024)
No full textTest materials for Chang and Yao (2024, "An individual-differences perspective on variation in heritage Mandarin speakers", The Phonetics and Phonology of Heritage Languages), as well as Chang and Yao (2019, "Production of neutral tone in Mandarin by heritage, native, and second language speakers", Proceedings of ICPhS 2019), Chang and Yao (2016, "Toward an understanding of heritage prosody: Acoustic and perceptual properties of tone produced by heritage, native, and second language speakers of Mandarin", Heritage Language Journal), and Chang, Yao, Haynes, and Rhodes (2011, "Production of phonetic and phonological contrast by heritage speakers of Mandarin", JASA), which are shareable publicly according to the study's IRB protocol: namely, the Language Background Questionnaire (provided in PDF format). The list of critical linguistic stimuli in Chang and Yao (2019) is provided in pinyin in the paper, and in simplified Chinese characters in Chang and Yao (2016). The other stimuli produced in the same experimental session are listed in Chang and Yao (2016), as well as in Chang, Yao, Haynes, and Rhodes (2011)
Datasets for Chang & Dionne (2022), Dionne & Chang (2021)
No full textFull datasets for Chang and Dionne (2022, "Unity and diversity in Asian American language variation: Data from Chinese, Filipino, Korean, and Vietnamese Americans", POMA) and Dionne and Chang (2021, "Linguistic unity and diversity among Asian Americans in Boston", NWAV 49), in Excel format (.xlsx) and comma-separated values format (.csv). There is a separate CSV file for each of the four dependent variables (linguistic features): (1) R-Deletion, (2) Low Back Raising, (3) L-Vocalization, and (4) L/R-Conflation. Explanations of each of the columns in the Chang and Dionne (2022) dataset are included in the accompanying PDF file of metadata
Dataset for Chang & Fraser (2023), Fraser & Chang (2023)
No full textFull dataset for Chang and Fraser (2023; "On the auditory identifiability of Asian American identity in speech: The role of listener background, sociolinguistic awareness, and language ideologies", Proceedings of the LSA) and Fraser and Chang (2023; "Perception of Asian American identity in speech: The role of listener background and ideology", 97th LSA Meeting) in Excel format (.xlsx) and tab-delimited text format (.txt). Sheet 1 of the Excel file provides the data from the identification experiment; sheet 2, the data from the discrimination experiment; sheet 3, socio-demographic data on the participants; and sheet 4, a key explaining each column of the spreadsheets in Sheets 1-3
Dispelling the Myths Behind First-author Citation Counts
No full textWe conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
Datasets for Chang et al. (2011), Chang & Yao (2024)
No full textFull datasets for Chang and Yao (2024, "An individual-differences perspective on variation in heritage Mandarin speakers", The Phonetics and Phonology of Heritage Languages) as well as Chang, Yao, Haynes, and Rhodes (2011, "Production of phonetic and phonological contrast by heritage speakers of Mandarin", JASA): a phonetic dataset and a socio-demographic dataset. Both datasets are provided in text format (.txt). Detailed explanations of each variable in the socio-demographic dataset are provided in the R Markdown file on the "Visualizations and Code" page (https://osf.io/5hyjf/)
Brain Segmentation ? A Case study of Biomedical Cloud Computing for Education and Research
No full textMedical imaging is widely adopted in Hospitals and medical institutes, and new ways to improve existing medical imaging services are regularly exploited. This paper describes the adoption of Cloud Computing is useful for medical education and research, and describes the methodology, results and lesson learned. A working Bioinformatics Cloud platform can demonstrate computation and visualisation of brain imaging. The aim is to study segmentation of brains, which divides the brain into ten major regions. The Cloud platform has these two functions: (i) it can highlight each region for ten different segments; and (ii) it can adjust intensity of segmentation to allow basic study of brain medicine. Two types of benefits are reported as follows. Firstly, all the medical student participants are reported to have 20% improvement in their learning satisfaction. Secondly, 100% of volunteer participants are reported to have positive learning experience
Dataset for Chang (2018)
No full textFull dataset for Chang (2018, "Perceptual attention as the locus of transfer to nonnative speech perception", Journal of Phonetics), in Excel format (.xlsx) and tab-delimited text format (.txt). Sheets 1-3 of the Excel file provide the data for Experiments 1-3 (respectively) in spreadsheet format; sheet 4, a key explaining each column of the spreadsheets in Sheets 1-3
Datasets for Chang (2019)
No full textFull datasets for Chang (2019, "Language change and linguistic inquiry in a world of multicompetence: Sustained phonetic drift and its implications for behavioral linguistic research", Journal of Phonetics), in Excel format (.xlsx) and tab-delimited text format (.txt). The last sheet of each Excel file provides a key explaining each column of the data spreadsheets
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