Reviewerly/exHarmony huggingface dataset:
디지털 리터러시 배양을 통한 학습자 중심의 고등교육 활성화 방안 연구

The 4th Industrial Revolution calls for transformations throughout our lives with power of influence that humanity has never experienced. The wisdom and insight needed to cope with this wave of transformations can no longer be nurtured only in the traditional education environment. There is an urgent need to introduce and spread educational methods specifically tailored to meet individual learners’ needs. This study starts with a diagnosis that, in the traditional education methods, there have been rapid changes due to the 4th Industrial Revolution and COVID-19 pandemic. Thanks to digital innovations and the expansion of Internet infrastructure, anyone can acquire advanced knowledge and skills needed for the 21st century online. And this is an era where competencies such as collaboration, communication, critical thinking, and creativity can be enhanced. In the 21st century, digital literacy, a competency required for both teachers and learners, will be emphasized as a core competency, and it will lay a foundation for effective operation and learning of learner-centered remote learning. This study conducted a preceding research focused on the needs of digital literacy and changes in the educational paradigm caused by the 4th Industrial Revolution, and then argues that cultivation of digital literacy is an essential requirement for nurturing creative talents. In the conclusion, the study suggests ways to enhance learner-centered higher education by strengthening digital literacy. What has become a necessity, not an option, is recognizing the limitations of traditional education and incorporating the advantages of civilization that brought about by innovations of digital technology into education. This educational revolution will infinitely create new values through the convergence of advanced technologies and provide fertile soil for human civilization.
Meta Analysis of the Effect of Telemonitoring on Blood Sugar Levels and Quality of Life in Diabetes Patients

Background: Type 2 diabetes mellitus (DM), a chronic disease, requires continuous monitoring and treatment to have a better quality of life. Telemonitoring is a medium that may help in monitoring patients with type 2 DM. This study aimed to analyze the effect of using telemonitoring on blood sugar levels and quality of life of patients with type 2 DM with a meta-analysis study. Subjects and Method: This was a systematic review and meta-analysis conducted with PRISMA flow diagram. The arti­cles were collected through journal databases, including PubMed, Google Scholar, Science Direct, and ProQuest, published in 2000-2021. The keywords used were ("tele­medicine" OR "tele-monitoring" OR "tele-monitoring") AND ("diabetes" OR "diabetes mellitus" OR "diabetes mellitus type 2") AND ("glucose level") AND ("quality of life"). The searching of articles used the PICO model. Population: people with type 2 diabetes mellitus, Intervention: telemonitoring, Comparison: not using telemonitoring, Outcome: blood sugar level and quality of life. Inclusion criteria were full-text articles with Randomized Controlled Trial (RCT) study design, published in English, with the effect measure of Mean SD. Eligible articles were analyzed using Revman 5.3. Results: A meta-analysis of 11 primary studies on the use of telemonitoring of blood sugar level showed a decrease in blood sugar (HbA1c) levels in patients with type 2 diabetes by 0.20 times compared to not using telemonitoring (SMD= -0.20; 95% CI= -0.39 to -0.01; p= 0.040). A meta-analysis of 6 primary studies on the use of telemonitoring on quality of life showed an increase in quality of life in type 2 diabetes patients by 0.16 times compared to not using telemonitoring (SMD= -0.16; 95% CI= -0.29 to -0.03; p= 0.020). Conclusion: Telemonitoring can improve blood sugar levels and the quality of life of patients with type 2 diabetes. Keywords: telemonitoring, type 2 diabetes mellitus, quality of life, meta-analysis Correspondence: Anisa Asri Sholihah. Masters Program in Public Health, Universitas Sebelas Maret. Jl. Ir. Suta­mi 36A, Surakarta 57126, Central Java. Email: anisaasri92@gmail.com. Mobile: 085740972­908. Indonesian Journal of Medicine (2021), 06(03): 246-257 https://doi.org/10.26911/theijmed.2021.06.03.02
Improved Gaussian Process Acquisition for Targeted Bayesian Optimization

A black-box optimization problem is considered, in which the function to be optimized can only be expressed in terms of a complicated stochastic algorithm that takes a long time to evaluate. The value returned is required to be sufficiently near to a target value, and uses data that has a significant noise component. Bayesian Optimization with an underlying Gaussian Process is used as an optimization solution, and its effectiveness is measured in terms of the number of function evaluations required to attain the target. To improve results, a simple modification of the Gaussian Process ‘Lower Confidence Bound’ acquisition function is proposed. With this change, much improved results compared to random selection methods and to other commonly used acquisition functions are obtained. Additional modifications result in further improvement. An intuitive explanation and a formal proof are given to explain the reduction in the number of lengthy function evaluations needed to reach the target.
Data Mining in Neuroscience and Healthcare

Author(s): Zhao, Yun | Advisor(s): Petzold, Linda | Abstract: Statistical methods, and in particular deep learning models, have achieved remarkable success in computer vision, speech recognition, and natural language processing due to the availability of powerful computational resources. Recently, neuroscience and healthcare have entered an exciting new age. Modern recording technologies, like Multi-Electrode Arrays (MEA) and electronic health records (EHR), offer unprecedented opportunities to explore neural systems and to improve health care. At the same time, they present extraordinary computational and statistical challenges. This Ph.D. dissertation presents knowledge we mined from neuroscience data and healthcare data. In the neuroscience data mining part, we propose a deep learning framework for MEA classification of mouse and human derived induced Pluripotent Stem Cell recordings. We also introduce a scalable Bayesian framework for inference of functional neural networks from MEA data. In the healthcare mining part, we first perform quantitative analysis on early multiple organ failure (MOF) prediction with comprehensive machine learning (ML) configurations, including data preprocessing (missing value treatment, label balancing, feature scaling), feature selection,classifier choice), and hyperparameter tuning. We introduce BERTSurv, a deep learning survival framework which applies Bidirectional Encoder Representations from Transformers (BERT) as a language representation model on unstructured clinical notes, for mortality prediction and survival analysis. We propose classifier-guided generative adversarial imputation networks (Classifier-GAIN) for MOF prediction, by incorporating both observed data and label information. Finally, we propose an end-to-end deep learning framework for chronic pain score assessment.In the end, we summarize the strengths, weaknesses, and implications of our work, and discuss future research directions.
Speeding Vehicle Detection in Unconstrained Environment

In this paper a method is proposed to identify speeding vehicles in two phases, in the initial phase using YOLOV3 vehicles are detected, and in the later phase blur detection is used to identify whether the detected vehicle is speeding. We are able to achieve commendable results and accuracy of our results are directly dependent on the accuracy of YOLO object detection. To detect whether the vehicle is speeding Laplacian kernel is convolved against the gray intensity image and blur variance is computed. If the blur variance is in the order of 10-4 and it is further decreasing across the neighbouring frames we can identify that the vehicle as speeding vehicle.
LibGuides: Digital Literacy Tool Box: Digital Literacy Toolkit: Children

A compilation of digital literacy toolkits for all age ranges to help information seekers feel comfortable and confident in accessing and utilizing information digitally. A toolkit to help users aged 4-12 develop digital literacy skills.
Caricature Creation with Conformal Mapping in Complex Domain

Caricature is an art form of exaggeration of features [Akleman 1997; Akleman et al. 2000; Akleman and Reisch 2004; Brennan 1985; Klare et al. 2012; Liang et al. 2002]. An important property of feature exaggeration is that it is not deformation. By deforming features we can obtain funny looking portraits, however the resulting features will not look exaggerated. In this work, we present an approach for extreme exaggeration of facial features to obtain caricature effect. Our approach is based on the well-known conformal property of maps in complex domains. Namely, any map in a complex domain is angle preserving, which is crucial for caricature generation. Without angle preservation, the maps can result in deformations that look funny or grotesque, but not caricature. We have developed a particular mapping in a complex domain and show that we can obtain a wide variety of faces starting from any illustration (or photograph) of a human face.
AN ERROR ANALYSIS IN WRITING PERSONAL LETTER TO THE EIGHTH GRADE STUDENTS AT SMP NEGERI 1 KERAMBITAN

This research purposed to analyze students’ errors in writing personal letter. This research utilized qualitative and quantitative research method. The subjects of this research were 32 students of eighth grade and one English teacher at SMP Negeri 1 Kerambitan. The researcher collected the data by utilizing the technique of observation, interview guideline, and documentation. The data were analyzed qualitatively and quantitatively. Based on data analysis, it was found that there were five types of errors consisting omission, addition, misformation, misordering, and blends with the results respectively 10%, 2%, 13%, 0%, and 0%. The highest number of errors was misformation with the result 13%. It indicated that the students were still low in understanding in writing personal letter by the reason of the students still confused in comprehending vocabulary, grammar, and diction in English.
VISUAL-ACTIONAL BASIS OF FORMATION OF IDEAS AND CONCEPTS ABOUT THE AREA OF A GEOMETRIC SHAPE IN STUDENTS WITH INTELLECTUAL DISABILITIES

The article analyzes the works of domestic scholars and teachers who studied the specificity of the acquisition of geometric knowledge by students with intellectual disabilities. Special attention is paid to the formation of ideas and concepts about the area of a geometric shape and the units of its measurement. The article argues that there is a connection between the level of acquisition of concepts formed at mathematics lessons and their application in practical and professional activity. The author looks for the reasons, both objective and subjective, of inadequate acquisition of geometric material, leading to the verbalism of knowledge, poor differentiation of the concepts, and difficulties in using the knowledge by students in practice. The methods of studying square measures and calculating the areas of geometric shapes in education institutions implementing adapted basic general education programs are described. The study of geometry in such organizations should be visual-actional. The methodological basis of the formation of concepts and ideas in students with intellectual disabilities involves object-based practical activity, in the process of which practical actions are described verbally, a connection is made between material and external speech forms of action, and personal experience is generalized and moves to a higher symbolic-ideal level, exerting a rehabilitation effect on the development of thinking and cognitive activity of students. The article considers the methods and techniques of preventive rehabilitation work in the process of studying this topic, such as methods of comparison, juxtaposition, finding common and distinctive features of the studied concepts, etc. The author formulates recommendations to the teachers on the implementation of interdisciplinary connections that allow using the personal experience of students at geometry lessons.
Blind Decision Making: Reinforcement Learning with Delayed Observations.

In Reinforcement Learning (RL) the current state of the environment may not always be available. One approach to fix this could be to include the actions after the last-known state as a part of the state information, however, that leads to an increased state-space making the problem complex and slower in convergence. We propose an approach, where the delay in the knowledge of the state can be used, and the decisions are made to maximize the expected state-action value function. The proposed algorithm is an alternate approach where the state space is not enlarged, as compared to the case when there is no delay in the state update. Evaluations on the basic RL environments further illustrate the improved performance of the proposed algorithm.
AN ANALYSIS OF STUDENTS’ SPEAKING SKILL BYRETELLING STORIES OF SMK KESEHATAN WIDYA TANJUNGPINANG

This study is aimed to analysis of students’ speaking skill by retelling stories of SMK Kesehatan Widya TanjungPinang. The method used in this research isqualitative. The instrument in this data collection is recording of students’ speaking voice or audio. The subjects of this study were tenth grade students’ of pharmacy. The result of this research is to show how students’ speaking skill. To find out how the students’ speaking skill, researcher used a rubric scores based on Brown and classified the category score of students’ speaking skill based on Vagias and Wade, then the researcher calculate the total score of students’ based on Best and Kahn. For students’ speaking skill in pronunciation, grammar, vocabulary, and fluency had fair category, meanwhile in comprehension had good category. Roundly, the average score of students’ speaking skill of SMK Kesehatan Widya TanjungPinang was 2.1 which were categorized as fair
Development of a progress monitoring tool for upper primary students’ reading comprehension

Within the context of our information society, reading comprehension is a key competence. However, many students experience difficulties with it. This is especially true in upper primary education, which is a critical period in the development of this competence. In this respect, the reading literature increasingly emphasizes the importance of monitoring students’ progress in reading comprehension. However, appropriate measurement instruments to realize this progress monitoring are lacking. In this study, therefore, a new tool was developed to monitor upper primary students’ progress in reading comprehension (i.e., RC-PM tool), especially focusing on comprehension of expository texts. The test development process followed a multistep process consisting of a) defining the construct of reading comprehension, b) creating and operationalizing a test framework, c) developing the test items and texts, and d) reviewing the quality of the reading comprehension tests. 3269 students participated in the development of the tool. Automated test assembly was conducted in R to compile six equivalent test versions. The theoretical and educational significance of the RC-PM tool is discussed.
THE INFLUENCE OF AUDIO-VISUAL MEDIA ON STUDENTS 'LEARNING MOTIVATION DURING THE PANDEMIC TIME OF COVID-19 AT MI AL FAJAR PRINGSEWU

Abstract&#x0D; The Covid 19 outbreak has an impact on various areas of life, especially the world of education. Student learning is required to transform and adapt to the conditions of the 4.0 century. This is what motivates researchers to conduct research on children's learning motivation during the Covid-19 pandemic. The aim of this research is to determine the effect of using audio-visual media on student motivation during the Covid-19 pandemic in grade IV MI Al Fajar Pringsewu. This research is a quantitative study with data collection techniques using a questionnaire. The data were analyzed using simple linear regression test. The results of this study indicate there is an effect of audio visual media on student learning motivation during the Covid-19 pandemic with a known value tcount &gt; ttable (4.118 &gt; 2.056) then Ho was rejected and Ha accepted. The big influence of audio-visual media on student learning motivation namely 57,3 %&#x0D; Keywords : Covid-19, audio-visual media, motivation to learn
LAND SUITABILITY ANALYSIS OF WHITE SHRIMP (LITOPENAEUSVANNAMEI) AQUACULTURE IN THE COASTAL AREA OF BARRU DISTRICT SOUTH SULAWESI – INDONESIA

The coastal area of Barru District has a wide brackishwater pond, but its productivity is relatively low. A research to determine land suitability as one of the brackish water pond productivity-raising projects is needed. Considerable factors in determining land suitability for white shrimp aquaculture covers topography and hydrology, soil conditions, water quality, and climate. Quality of water is observed during a rainy and dry season. Spatial analysis using Geographic Information System is applied in the determination of land suitability for shrimp aquaculture. The analysis shows the actual land suitability of the existing  ponds  in Barru district, namely 2.399 ha, where land is classified as highly suitable (S1 class), 232.94 ha (9.71%) classified as moderately  suitable (S2 class), 1,444.20 ha (60.20%)  classified as marginally suitable (S3 class), 721.14 (30.06%)  and classified as marginally low suitable (N class), 0.72 ha (0.03%), Limiting factors during the rainy season are the flood, while salinity is the main limiting factor during a dry season. Generally, other limiting factors are of the water sources, low level of pH soil and roughness of soil texture in a certain area.
From Invention to Assembly Line

The Agile Codex emphasizes strict dependency identification and tracking. Why is this so important?
Webtoons as an attractive media in teaching reading comprehension

The study based on students’ issues related to teaching English, especially reading comprehension. This is because teaching activities are implemented in the classroom, where teachers are more active than the students. It is also caused by several factors such as students get difficult to learn English. The students feel difficult to understand the content of the story because they are lazy to read. The purpose of this research is to overcome these problems by providing an interesting learning for students, especially in reading stories to find the elements of the story that is by using digital comics (English Webtoon). The study applied a pre-experimental design, with pretest and posttest design. The population in this study was eighth-grader of SMPN 7 Parepare school year 2020/2021. Samples in this study were taken using cluster random sampling taken from the population. The results of data analysis showed that students' reading ability was improved. This is shown by the average of pretest and posttest score of the students.  It also proved that the value of the t-test (22.72) is higher than t-table 1,725 with freedom level (df) = (N1 - 1) 23 for a significance level of 0.05. This result indicates that the reading comprehension of eighth grade at SMPN 7 Parepare improved by the use of webtoon as teaching media.
HIGH ORDER THINKING SKILL (HOTS) QUESTIONS ON LEARNERS’ WRITING ABILITY OF REPORT TEXT AT EFL OF FKIP UNIVERSITAS HKBP NOMMENSEN

This research presents to investigate HOTS question on learners’ writing ability. It intends to find out the extent of the application HOTS question in improving the EFL learners’ writing ability at report text. Learners’ writing of report text ability will be measured after giving treatment. The treatment is introducing HOTS questions through teaching. The treatment is given to one class as experiment. Treatment is done after giving a pre-test to experiment class. Then post-test is given after doing treatment. The pre-test and post-test is also given to one class as control class. Both experiment and control class is the participant of this research. They are the EFL learners at sixth semester at academic year of 2020/2021 at FKIP Universitas HKBP Nommensen. The participants consist of thirty learners at experiment class and thirty learners also at control class. The same number of participants in each class is based on the policy in this university. In every academic year there are parallel classes so the participants are taken randomly because all the learners have the opportunity as this research to be participants. Data is gathering from leaners’ scores. The score is taken from EFL learners’ ability in writing report text. Data is taken by giving pre-test, treatment, and post-test to participants. Then quantitative research design is used to analyze the data. T-test is used to measure the extent of HOTS question on EFL learners’ writing of report text. Data analysis shows that t-test is 4,0003 and t-table is 1,671. It indicates that the application of HOTS questions in teaching writing give good contribution into this research participants. It means that the application of HOTS questions affect EFL learners’ writing ability, especially in writing report text.Keywords: efl, HOTS questions, , report text, writing ability
The Use of Social Media Application as a Factor Influencing the Students' Decisions-Making to Enrol at Private Higher Education Institutions using Smart PLS

This study assessed the use of social media application significantly influence the students' decision-making to enrol at private higher education institutions (HEIs) within the Malaysian context. The underpinning theory applied in this study was the Theory of Reasoned Action (TRA). A quantitative method, stratified sampling technique and systematic sampling technique applied in this study to test the proposed hypotheses based on a sample of 500 first-year students in their first academic semester at 23 selected private HEIs in Kuala Lumpur and Selangor. Data analysis was carried out using smartPLS software. The analysis outcome of the focal study had expounded a significant positive relationship between the use of social media application and students' decision-making as a direct relationship. Thus, analysis of the structural model had further verified that hypotheses h1 of the focal study were accepted. The result shows a  significant positive relationship between social media application and students' decision-making indicated by a path coefficient of  0.630, t-value of 24.103, and p-value of 0.000.