Biscriptal bilingualism differentially affects segmentation of cross-language homophones: Evidence from Hindi and English users

2021 ◽  
pp. 136700692110228
Author(s):  
Jyotsna Vaid ◽  
Hsin-Chin Chen ◽  
Chaitra Rao
Keyword(s):  
Data Analysis ◽  
Spoken Word ◽  
Orthographic Knowledge ◽  
Speech Sounds ◽  
Writing Systems ◽  
Initial Phoneme ◽  
First Sound ◽  
Cross Language ◽  
The Impact ◽  
Primary Unit

Aims and objectives: Few previous studies of bilingual cognition have theorized the impact of being literate in distinct orthographies. This study examined: (1) How do differences in the way writing systems represent sound affect biscriptal bilinguals’ segmentation of spoken words in each language? and (2) What is the impact of the first learned orthography? These questions were addressed in native and non-native readers of Hindi and English. The primary unit of writing in Hindi is the akshara, which corresponds to a syllable in most cases, whereas for English the unit of writing corresponds to a phoneme. Method: Hindi-English users listened to cross-language homophones in Hindi and English. Participants were instructed to take away “the first sound” of each word and say aloud what remained. Data analysis: Percent deletion of the initial phoneme was examined. Exp. 1 included 44 bilinguals. Exp. 2 tested 13 bilinguals. Findings/conclusions: For native English readers the first phoneme was deleted regardless of language. For native readers of Hindi, performance differed by language: the “first sound” was a phoneme for English words but a syllable for Hindi words (except for vowel-initial words). Originality: Using a novel paradigm, this study demonstrates that biscriptal bilinguals’ conceptions of speech sounds are differentially shaped by their knowledge of the written forms of those sounds: deleting “the first sound” in /sʌfʌr/ resulted in /fʌr/ when it was presented as a Hindi word but as /ʌfʌr/ when presented as English. Thus, the very same spoken word can yield different conceptions depending on whether it is heard as a word belonging to one language or another. Significance/implications: The findings indicate that language-specific orthographic knowledge influences biscriptal bilinguals’ conceptualization of speech sounds in their respective languages. More generally, our study argues for more research on biscriptal bilinguals in the study of bilingual cognition.

INDONESIA LANGUAGE INTERFERENCE FORM IN BASIC PPL LEARNING THAILAND UNHASY COLLEGE SYUDENTS

2020 ◽  
Vol 8 (2) ◽  
pp. 38
Author(s):  
Siti Mariana Ulfa
Keyword(s):  
Qualitative Research ◽  
Data Analysis ◽  
Data Collection ◽  
Teaching Practice ◽  
Data Presentation ◽  
Analysis Techniques ◽  
Thai Students ◽  
The Impact ◽  
Collection Methods ◽  
Recording Techniques

AbstractHumans on earth need social interaction with others. Humans can use more than one language in communication. Thus, the impact that arises when the use of one or more languages is the contact between languages. One obvious form of contact between languages is interference. Interference can occur at all levels of life. As in this study, namely Indonesian Language Interference in Learning PPL Basic Thailand Unhasy Students. This study contains the form of interference that occurs in Thai students who are conducting teaching practices in the classroom. This type of research is descriptive qualitative research that seeks to describe any interference that occurs in the speech of Thai students when teaching practice. Data collection methods in this study are (1) observation techniques, (2) audio-visual recording techniques using CCTV and (3) recording techniques, by recording all data that has been obtained. Whereas the data wetness uses, (1) data triangulation, (2) improvement in perseverance and (3) peer review through discussion. Data analysis techniques in this study are (1) data collection, (2) data reduction, (3) data presentation and (4) conclusions. It can be seen that the interference that occurs includes (1) interference in phonological systems, (2) interference in morphological systems and (3) interference in syntactic systems. 

Household and Population-Level Behavioural Changes Due to COVID-19 Pandemic: A Smart Thermostat Based Comparative Data Analysis

2021 ◽  
Vol 10 (1) ◽  
pp. 1-6
Author(s):  
Kirti Sundar Sahu ◽  
Arlene Oetomo ◽  
Niloofar Jalali ◽  
Plinio P. Morita
Keyword(s):  
Data Analysis ◽  
Population Level ◽  
World Health ◽  
Motion Sensors ◽  
Household Level ◽  
Work From Home ◽  
Significant Difference ◽  
Health Organization ◽  
Smart Thermostat ◽  
The Impact

The World Health Organization declared the coronavirus outbreak as a pandemic on March 11, 2020. To inhibit the spread of COVID-19, governments around the globe, including Canada, have implemented physical distancing and lockdown measures, including a work-from-home policy. Canada in 2020 has developed a 24-Hour Movement Guideline for all ages laying guidance on the ideal amount of physical activity, sedentary behaviour, and sleep (PASS) for an individual in a day. The purpose of this study was to investigate changes on the household and population-level in lifestyle behaviours (PASS) and time spent indoors at the household level, following the implementation of physical distancing protocols and stay-at-home guidelines. For this study, we used 2019 and 2020 data from ecobee, a Canadian smart Wi-Fi thermostat company, through the Donate Your Data (DYD) program. Using motion sensors data, we quantified the amount of sleep by using the absence of movement, and similarly, increased sensor activation to show a longer duration of household occupancy. The key findings of this study were; during the COVID-19 pandemic, overall household-level activity increased significantly compared to pre-pandemic times, there was no significant difference between household-level behaviours between weekdays and weekends during the pandemic, average sleep duration has not changed, but the pattern of sleep behaviour significantly changed, specifically, bedtime and wake up time delayed, indoor time spent has been increased and outdoor time significantly reduced. Our data analysis shows the feasibility of using big data to monitor the impact of the COVID-19 pandemic on the household and population-level behaviours and patterns of change.

scholarly journals The impact of alphabetic literacy on the perception of speech sounds

Cognition ◽  
2021 ◽  
pp. 104687
Author(s):  
Régine Kolinsky ◽  
Ana Luiza Navas ◽  
Fraulein Vidigal de Paula ◽  
Nathalia Ribeiro de Brito ◽  
Larissa de Medeiros Botecchia ◽  
...  
Keyword(s):  
Speech Sounds ◽  
The Impact

scholarly journals Evaluation of an Educational Outreach Campaign (IMPACT) on Pain Management Delivered to General Practices in Walsall

2021 ◽  
Vol 29 (Supplement_1) ◽  
pp. i48-i49
Author(s):  
S Visram ◽  
J Saini ◽  
R Mandvia
Keyword(s):  
Data Analysis ◽  
Pain Management ◽  
Cancer Pain ◽  
Educational Intervention ◽  
Opioid Analgesics ◽  
Educational Outreach ◽  
Opioid Prescribing ◽  
Prescribing Trends ◽  
The Impact

Abstract Introduction Opioid class drugs are a commonly prescribed form of analgesic widely used in the treatment of acute, cancer and chronic non-cancer pain. Up to 90% of individuals presenting to pain centres receive opioids, with doctors in the UK prescribing more and stronger opioids (1). Concern is increasing that patients with chronic pain are inappropriately being moved up the WHO ‘analgesic ladder’, originally developed for cancer pain, without considering alternatives to medications, (2). UK guidelines on chronic non-cancer pain management recommend weak opioids as a second-line treatment, when the first-line non-steroidal anti-inflammatory drugs / paracetamol) ineffective, and for short-term use only. A UK educational outreach programme by the name IMPACT (Improving Medicines and Polypharmacy Appropriateness Clinical Tool) was conducted on pain management. This research evaluated the IMPACT campaign, analysing the educational impact on the prescribing of morphine, tramadol and other high-cost opioids, in the Walsall CCG. Methods Standardised training material was delivered to 50 practices between December 2018 and June 2019 by IMPACT pharmacists. The training included a presentation on pain control, including dissemination of local and national guidelines, management of neuropathic, low back pain and sciatica as well as advice for prescribers on prescribing opioids in long-term pain, with the evidence-base. Prescribing trends in primary care were also covered in the training, and clinicians were provided with resources to use in their practice. Data analysis included reviewing prescribing data and evaluating the educational intervention using feedback from participants gathered via anonymous questionnaires administered at the end of the training. Prescribing data analysis was conducted by Keele University’s Medicines Management team via the ePACT 2 system covering October 2018 to September 2019 (two months before and three months after the intervention) were presented onto graphs to form comparisons in prescribing trends of the Midland CCG compared to England. Results Questionnaires completed at the end of sessions showed high levels of satisfaction, with feedback indicating that participants found the session well presented, successful at highlighting key messages, and effective in using evidence-based practice. 88% of participants agreed the IMPACT campaign increased their understanding of the management and assessment of pain, and prescribing of opioids and other resources available to prescribers. The majority (85%) wished to see this form of education being repeated regularly in the future for other therapeutic areas. Analysis of the prescribing data demonstrated that the total volume of opioid analgesics decreased by 1.7% post-intervention in the Midlands CCG in response to the pharmacist-led educational intervention. As supported by literature, the use of educational strategies, including material dissemination and reminders as well as group educational outreach was effective in engaging clinicians, as demonstrated by the reduction in opioid prescribing and high GP satisfaction in this campaign. Conclusion The IMPACT campaign was effective at disseminating pain-specific guidelines for opioid prescribing to clinicians, leading to a decrease in overall prescribing of opioid analgesics. Educational outreach as an approach is practical and a valuable means to improve prescribing by continuing medical education. References 1. Els, C., Jackson, T., Kunyk, D., Lappi, V., Sonnenberg, B., Hagtvedt, R., Sharma, S., Kolahdooz, F. and Straube, S. (2017). Adverse events associated with medium- and long-term use of opioids for chronic non-cancer pain: an overview of Cochrane Reviews. Cochrane Database of Systematic Reviews. This provided the statistic of percentage receiving opioids that present to pain centres. 2. Heit, H. (2010). Tackling the Difficult Problem of Prescription Opioid Misuse. Annals of Internal Medicine, 152(11), p.747. Issues with prescriptions and inappropriate moving up the WHO ladder.

scholarly journals Impact of COVID-19 on the Customer End of Retail Supply Chains: A Big Data Analysis of Consumer Satisfaction

2021 ◽  
Vol 13 (3) ◽  
pp. 1464
Author(s):  
Patrick Brandtner ◽  
Farzaneh Darbanian ◽  
Taha Falatouri ◽  
Chibuzor Udokwu
Keyword(s):  
Data Analysis ◽  
Supply Chains ◽  
Consumer Satisfaction ◽  
Future Research ◽  
Grocery Shopping ◽  
Product Availability ◽  
Analysis Technique ◽  
Retail Chains ◽  
Retail Supply Chains ◽  
The Impact

The COVID-19 pandemic has been one of the biggest disruptive events of recent decades and has had a global effect on society and the economy. The political regulations resulting from COVID-19 also led to significant changes in physical grocery shopping. However, the specific impact of COVID-19 on consumer satisfaction at the customer end of retail supply chains, i.e., the point-of-sale (PoS), has not yet been addressed. By gathering and analyzing consumer satisfaction data (ratings) and sentiments (evaluation comments) available on the open web, the current study evaluates the impact of COVID-19 on consumer satisfaction at the PoS. Focusing on the five biggest retail chains in Austria, the results show that there was a general and significant decline in consumer satisfaction due to the pandemic. The results also show a high impact of political regulations on consumer satisfaction. Furthermore, the text-mining based analysis of evaluation comments indicate that store layout and facilities, as well as product availability and waiting time had a great impact on consumer satisfaction. In total, over 533,000 consumer satisfaction ratings and over 153,000 textual comments have been analyzed, providing the basis for a comprehensive and sound discussion of the impact of COVID-19 on consumer satisfaction and perceptions. Future research could focus on applying the used data analysis technique and the adapted consumer sentiment dimensions in different settings, such as countries other than Austria or smaller retail chains.

Youth Experiences in Authoring Action: The Impact of an Arts-Based Youth Program on Youth Development

2021 ◽  
pp. 074355842110067
Author(s):  
Parissa J. Ballard ◽  
Grace Anderson ◽  
Danielle Parker Moore ◽  
Stephanie S. Daniel
Keyword(s):  
Youth Development ◽  
Spoken Word ◽  
Leadership Education ◽  
Summer Program ◽  
Youth Of Color ◽  
Media Arts ◽  
Program Leaders ◽  
Transformative Experiences ◽  
Film Making ◽  
The Impact

Authoring Action (A2) is a youth-focused, arts-based, afterschool and summer program. A2’s mission is “to transform the lives of youth and the world through the power of creative writing, spoken word, visual and media arts, film-making and leadership education that promotes positive systemic change.” Using in-depth interviews, this study aimed to understand how this arts-based program affects youth development. Participants in this study (N=36) were alums of Authoring Action (A2), interviewed when they were between the ages of 17-32. Over half identified as female (N=21). Most A2 participants were youth of color and participated in A2 between ages 13-17. Interview data were coded following several steps: generating initial codes, searching for themes, reviewing themes, defining and naming themes, and generating a report. Four themes describe the impacts of A2 for program participants: communication, cathartic and transformative experiences, connection, and critical consciousness. Programmatic features—getting paid to participate, shared group identity, and open access to program leaders and peers – were meaningful to youth participants. The mission and programmatic features of A2 support youth development; we discuss practices that may benefit other arts-based youth programs and the implications of such practices for youth development.

scholarly journals Reproducible and accessible analysis of transposon insertion sequencing in Galaxy for qualitative essentiality analyses

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Delphine Larivière ◽  
Laura Wickham ◽  
Kenneth Keiler ◽  
Anton Nekrutenko ◽  
Keyword(s):  
Data Analysis ◽  
Promoter Sequence ◽  
Entire Genome ◽  
Link Type ◽  
Transposon Insertion ◽  
Control Procedures ◽  
Reproducible Analysis ◽  
Using Data ◽  
Transposon Insertion Sequencing ◽  
The Impact

Abstract Background Significant progress has been made in advancing and standardizing tools for human genomic and biomedical research. Yet, the field of next-generation sequencing (NGS) analysis for microorganisms (including multiple pathogens) remains fragmented, lacks accessible and reusable tools, is hindered by local computational resource limitations, and does not offer widely accepted standards. One such “problem areas” is the analysis of Transposon Insertion Sequencing (TIS) data. TIS allows probing of almost the entire genome of a microorganism by introducing random insertions of transposon-derived constructs. The impact of the insertions on the survival and growth under specific conditions provides precise information about genes affecting specific phenotypic characteristics. A wide array of tools has been developed to analyze TIS data. Among the variety of options available, it is often difficult to identify which one can provide a reliable and reproducible analysis. Results Here we sought to understand the challenges and propose reliable practices for the analysis of TIS experiments. Using data from two recent TIS studies, we have developed a series of workflows that include multiple tools for data de-multiplexing, promoter sequence identification, transposon flank alignment, and read count repartition across the genome. Particular attention was paid to quality control procedures, such as determining the optimal tool parameters for the analysis and removal of contamination. Conclusions Our work provides an assessment of the currently available tools for TIS data analysis. It offers ready to use workflows that can be invoked by anyone in the world using our public Galaxy platform (https://usegalaxy.org). To lower the entry barriers, we have also developed interactive tutorials explaining details of TIS data analysis procedures at https://bit.ly/gxy-tis.

scholarly journals Impact of RNA-seq data analysis algorithms on gene expression estimation and downstream prediction

2020 ◽  
Vol 10 (1) ◽  
Author(s):  
Li Tong ◽  
◽  
Po-Yen Wu ◽  
John H. Phan ◽  
Hamid R. Hassazadeh ◽  
...  
Keyword(s):  
Gene Expression ◽  
Data Analysis ◽  
Disease Outcome ◽  
Rna Seq ◽  
Next Generation Sequencing Technology ◽  
Normalization Methods ◽  
The Us ◽  
Sequencing Quality ◽  
Improved Accuracy ◽  
The Impact

Abstract To use next-generation sequencing technology such as RNA-seq for medical and health applications, choosing proper analysis methods for biomarker identification remains a critical challenge for most users. The US Food and Drug Administration (FDA) has led the Sequencing Quality Control (SEQC) project to conduct a comprehensive investigation of 278 representative RNA-seq data analysis pipelines consisting of 13 sequence mapping, three quantification, and seven normalization methods. In this article, we focused on the impact of the joint effects of RNA-seq pipelines on gene expression estimation as well as the downstream prediction of disease outcomes. First, we developed and applied three metrics (i.e., accuracy, precision, and reliability) to quantitatively evaluate each pipeline’s performance on gene expression estimation. We then investigated the correlation between the proposed metrics and the downstream prediction performance using two real-world cancer datasets (i.e., SEQC neuroblastoma dataset and the NIH/NCI TCGA lung adenocarcinoma dataset). We found that RNA-seq pipeline components jointly and significantly impacted the accuracy of gene expression estimation, and its impact was extended to the downstream prediction of these cancer outcomes. Specifically, RNA-seq pipelines that produced more accurate, precise, and reliable gene expression estimation tended to perform better in the prediction of disease outcome. In the end, we provided scenarios as guidelines for users to use these three metrics to select sensible RNA-seq pipelines for the improved accuracy, precision, and reliability of gene expression estimation, which lead to the improved downstream gene expression-based prediction of disease outcome.

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