scholarly journals Light At the End of The Tunnel: Re-Storying the Experiences of Teacher- Covid19 Survivors

2021 ◽  
Vol 17 ◽  
pp. 159-171
Author(s):  
Ritchelee B. Alugar
Keyword(s):  
Data Analysis ◽  
Narrative Inquiry ◽  
Narrative Story ◽  
Personal Stories ◽  
Research Interviews ◽  
The Common ◽  
Thematic Approach ◽  
New Beginnings ◽  
Educational Delivery

The continued service at the frontline of educational delivery in the time of COVID19 pandemic situates teachers to susceptibility that is no less critical. This study aimed to tell the experiences of teachers who were in the throes of COVID-19 disease and have recovered, through the narration of their personal stories. Narrative Inquiry was employed and facilitated by the use research interviews and written accounts of 4 teacher-survivors. Using Narrative Thematic approach in data analysis, themes were developed and were formatted in a literary chronological sense of the pre, during and post COVID19 stages of their journey to tell a cohesive narrative story. The plot started with Skepticisms and disbelief that describe the pre-COVID stage. Guilt, Anxiety and Shame; Fraud Information and Disclosure; Stigmas and Discrimination; and experiences pertaining to Temporality and Place; to their Being a Teacher; and to Relationship and Sociality, capture their During-COVID19 stage. The common accounts of Lessons and New Beginnings articulate the Post-COVID19 Stage. Recommendations to help advance the public’s understanding of the experiences of these teacher-survivors were also explicated.

scholarly journals AN ERROR ANALYSIS OF ARGUMENTATIVE ESSAY (CASE STUDY AT UNIVERSITY MUHAMMADIYAH OF METRO)

2015 ◽  
Vol 2 (2) ◽  
Author(s):  
Fenny - Thresia
Keyword(s):  
Data Analysis ◽  
Error Analysis ◽  
English Writing ◽  
The Third ◽  
The Subject ◽  
The Common ◽  
Learner Language

The purpose of this study was study analyze the students’ error in writing argumentative essay. The researcher focuses on errors of verb, concord and learner language. This study took 20 students as the subject of research from the third semester. The data took from observation and documentation. Based on the result of the data analysis there are some errors still found on the student’s argumentative essay in English writing? The common errors which repeatedly appear are verb. The second is concord, and learner languages are the smallest error. From 20 samples that took, the frequency the errors of verb are 12 items (60%), concord are 8 items (40%), learner languages are 7 items (35%). As a result, verb has the biggest number of common errors.

scholarly journals E-commerce Network Credibility Modelling Using Block-chain

2021 ◽  
Vol 10 (2) ◽  
pp. 1489-1494
Keyword(s):  
Data Analysis ◽  
Source Code ◽  
Digital Marketing ◽  
Agent Technology ◽  
The Internet ◽  
Storage Space ◽  
Common Code ◽  
Online Transactions ◽  
Block Chain ◽  
The Common

Agent technology has developed into a sturdy instrument for e-commerce approach in recent years. The use of agent technology in e-commerce systems may address traditional e-commerce weaknesses, respond to the intelligence and individual needs of users, and significantly improve the efficiency of online transactions. There are some weaknesses in the system designed in this paper. The system will be less efficient in order to complete decentralization of the system. Every decentralized node needs to redundantly preserve a huge volume of information that not only takes up a lot of storage space however, it also makes cross-requesting and detail verification ineffective. This writing presents the evaluation of integrity of the e-commerce systems using block-chain and large amounts of data analysis. The fast growth of the Internet, in particular in the well-developed field of e-commerce, has advanced to digital marketing. In order to understand the common code generating conventional file to identify the associated event configuration, we will analyze Improved Practical Byzantine IPBF source code algorithms. The simulation shows the efficiency of the model.

Big Data Analysis for Cardiovascular Diseases

2018 ◽  
pp. 102-119
Author(s):  
Miguel A. Sánchez-Acevedo ◽  
Zaydi A. Acosta-Chí ◽  
Beatriz A. Sabino-Moxo ◽  
José A. Márquez-Domínguez ◽  
Rosa M. Canton-Croda
Keyword(s):  
Big Data ◽  
Data Analysis ◽  
Medical Devices ◽  
Clinical Analysis ◽  
Big Data Analysis ◽  
Health Issues ◽  
Research Papers ◽  
Healthcare Data ◽  
Common Risk Factors ◽  
The Common

In the healthcare field, plenty of clinical data is generated every day from patient records, surveys, research papers, medical devices, among others sources. These data can be exploited to discover new insights about health issues. For helping decision makers and healthcare data managers, a survey of research works and tools covering the process of handling big data in the healthcare field is included. A methodology for CVD prevention, detection and management through the use of tools for big data analysis is proposed. Also, it is important to maintain privacy of patients when handling healthcare data; therefore, a list of recommendations for maintaining privacy when handling healthcare data is presented. Specific clinical analysis are recommended on those regions where the incidence rate of CVD is high, but a weak relation with the common risk factors is observed according to historical data. Finally, challenges which need to be addressed are presented.

On the Use of Probit-Based Models for Ranking Data Analysis

2019 ◽  
Vol 2673 (4) ◽  
pp. 229-240 ◽  
Author(s):  
Gopindra S. Nair ◽  
Chandra R. Bhat ◽  
Ram M. Pendyala ◽  
Becky P. Y. Loo ◽  
William H. K. Lam
Keyword(s):  
Data Analysis ◽  
Preference Elicitation ◽  
Ordered Probit ◽  
Common Method ◽  
Ordered Logit ◽  
Ranking Data ◽  
Consumer Surveys ◽  
Ranking Of Alternatives ◽  
The Common

In consumer surveys, more information per response regarding preferences of alternatives may be obtained if individuals are asked to rank alternatives instead of being asked to select only the most-preferred alternative. However, the latter method continues to be the common method of preference elicitation. This is because of the belief that ranking of alternatives is cognitively burdensome. In addition, the limited research on modeling ranking data has been based on the rank ordered logit (ROL) model. In this paper, we show that a rank ordered probit (ROP) model can better utilize ranking data information, and that the prevalent view of ranking data as not being reliable (because of the attenuation of model coefficients with rank depth) may be traced to the use of a misspecified ROL model rather than to any cognitive burden considerations.

Evaluating Signs and Symptoms: Comparison of Structured Interview and Clinical Approaches

1976 ◽  
Vol 128 (4) ◽  
pp. 397-403 ◽  
Author(s):  
William T. Carpenter ◽  
Michael H. Sacks ◽  
John S. Strauss ◽  
John J. Bartko ◽  
Judy Rayner
Keyword(s):  
Data Analysis ◽  
Signs And Symptoms ◽  
Structured Interview ◽  
Data Sets ◽  
Cross Sectional ◽  
Extensive Evaluation ◽  
Research Interview ◽  
Research Interviews ◽  
Observed Behaviour ◽  
Available Information

SummaryAre research interview techniques adequate in assessing signs and symptoms? This question is investigated by obtaining two sets of interview schedule ratings on 49 patients, one by a research psychiatrist applying the interview and one by the patient's psychiatrist using all available information. The latter was considered a clinical standard with which a cross-sectional research interview could be contrasted.These two data sets were subjected to several types of analysis commonly undertaken with research interview ratings. Results indicated that the research interview adequately represents symptom data, but is seriously lacking in the assessment of observed behaviour. The effect of this difference depends on the goals of the study and the nature of the data analysis. If overall group findings are desired, or if analysis relies primarily on symptom data, results with a research interview may be similar to results based on a far more extensive evaluation. On the other hand, if conclusions are to be drawn on individual patients, or if data analysis relies heavily on observed behaviour, then data derived from research interviews are questionable.

scholarly journals The Diurnal and Semidiurnal Patterns of Rainfall and its Correlation to the Stream Flow Characteristic in the Ciliwung Watershed, West Java, Indonesia

2018 ◽  
Vol 147 ◽  
pp. 03013
Author(s):  
Edi Riawan ◽  
Tri Wahyu Hadi ◽  
Hadi Kardhana ◽  
Dadang K. Mihardja ◽  
Benyamin Sapiie
Keyword(s):  
Data Analysis ◽  
River Basin ◽  
Stream Flow ◽  
Hydrological Model ◽  
Flow Characteristic ◽  
Diurnal Pattern ◽  
Model Simulations ◽  
Flood Duration ◽  
The Common ◽  
Downstream Area

Based on the data analysis of 16 years of TMPA dataset, the common patterns of rainfall over the Ciliwung River Basin are diurnal and semidiurnal. Those patterns can be associated by a stationary or moving rainstorm with different magnitude and direction. Based on hydrological model simulations, both the pattern and movement have a significant role to the discharge. At the downstream area, the discharge that triggered by semidiurnal pattern of rainfall can produces higher peak discharge and longer flood duration than diurnal pattern. This result open possibility to improve our prediction on design discharge.

Looking Forward in Records of Youth Abused as Children: Risks for Homicidal, Violent, and Delinquent Offenses

2009 ◽  
Vol 104 (1) ◽  
pp. 77-101 ◽  
Author(s):  
John Russell Hughes ◽  
Kenneth G. Busch ◽  
Robert John Zagar ◽  
William M. Grove ◽  
Jack Arbit
Keyword(s):  
Logistic Regression ◽  
Executive Function ◽  
Data Analysis ◽  
Area Under Curve ◽  
Odds Ratios ◽  
Abused Children ◽  
Logistic Regressions ◽  
The Common

To study risks of abuse, violence, and homicide, 181 Abused Children ( M age= 12.85 yr., SD = 2.14; 58 girls, 123 boys) were matched with 181 clinic-referred Controls. Data analysis was Shao's bootstrapped logistic regression with area under curve ( AUC) and odds ratios ( OR). Predictors of abused status were court contacts ( OR = 2.04e+22) and poorer executive function ( OR = .81; AUC=.99; 95% CI = .91−.99). Groups were tracked forward in records for 9 years ( M=8.78 yr., SD =1.41). Looking forward, youth ( M age = 21.63 yr., SD = 2.07) were classified into Abused Children Later Homicidal (5%, n = 10), Abused Children Later Violent (23%, n = 41), Abused Children Later Delinquent (28%, n = 50), Abused Children Later Nondeliquent (44%, n = 80), and Controls ( n = 181). Data were analyzed with two more logistic regressions. Predictors of Abused Children Later Homicidal compared with Controls were number of court contacts ( OR =50,398.78) and poorer executive function ( OR = 79.72; AUC =.91; 95% CI= .80−.95). The predictor of Abused Children Later Homicidal contrasted with Abused Children Later Nondelinquent was court contacts ( OR = 2,077,089,352; AUC=.87; 95% CI =.65−.95). The common predictor for Abused Children and Abused Children Later Homicidal groups was court contacts.

scholarly journals COMMON GRAMMATICAL ERRORS IN THE USE OF ENGLISH AS A FOREIGN LANGUAGE: A CASE IN STUDENTS’ UNDERGRADUATE THESES

LITERA ◽  
2016 ◽  
Vol 15 (1) ◽  
Author(s):  
Bambang Sugeng
Keyword(s):  
Data Analysis ◽  
Foreign Language ◽  
Common Core ◽  
Potential Solution ◽  
Passive Voice ◽  
Grammatical Errors ◽  
The Common ◽  
Thesis Writing ◽  
Undergraduate Thesis

This study aims to find out the multitude of students’ grammatical errors in their undergraduate theses and the learning materials needed to counter this problem. Thestudy was a survey involving 228 undergraduate theses from 28 English study programsfrom 17 out of the 34 provinces in Indonesia. Data analysis included grouping, counting,and ranking the data. The findings show that errors rank as follows: verb groups, finiteverbs, subject-verb concords, predicates, concords of nouns, concords of numbers, clauses,passive voice, and word choices. The common-core grammar materials, which containinter-lingual implications, are recommended to be used as a potential solution to improve the quality of undergraduate thesis writing for students of the English study program.Keywords: inter-language, grammatical errors, common-core grammar

scholarly journals Lexical Errors Found in Subtitling Projects of EFL Learners of University of Lancang Kuning

2019 ◽  
Vol 10 (2) ◽  
pp. 155-166
Author(s):  
Destina Kasriyati ◽  
Siti Rafiah ◽  
Herdi Herdi ◽  
M. Fadhly Farhy Abbas
Keyword(s):  
Data Analysis ◽  
English Education ◽  
Education Department ◽  
Efl Learners ◽  
The World ◽  
The Common ◽  
Word Translation ◽  
Translation Machine ◽  
Lexical Errors ◽  
Tube Channel

The phenomenon of the study is some students wrongly order the word in a sentence as the result of word by word translation and they translate it using translation machine like Google translate so that it is still has an errors in sentence or word. By doing the project uploaded as subtitle in form of video and music in students’ You Tube channel, so around the world see it and become evaluation to the next translator become a good translator. The research aimed to find out the common lexical errors in subtitling projects at the eighth semester students of English Education Department. The research design was descriptive quantitative. Subject the research was 20 students. The instrument was documentation. From the data analysis by rater’s one, it was found that students made lexical error was 136 cases included in semantic confusion was 44 cases with percentages 32.35% was the common lexical error. From the rater’s two was 109 lexical errors still with semantic confusion was 40 cases with percentage 36.69%. It means that the students had enough English vocabulary but they do not know the usage of words in sentences when translate it. Also, it means that students need more practice in translation because of some errors still happen.

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