Reviewerly/exHarmony huggingface dataset:
Application of Progressive Web Apps (PWA) on PT SKA’s E-Commerce Website

Mobile app developers are often overwhelmed when they must create mobile applications, which must create applications for iOS and Android users. The problem is that each one has a different programming language, for iOS users it must be developed with Objective-C or Swift while for Android it is developed with Kotlin or Java programming language. This research was conducted with a tool that in the research process using observation. Observations were made by testing native applications with applications that were already using Progressive Web Apps (PWA) using the PageSpeed Insights tool. Progressive Web Apps (PWA) help optimize websites so that they look like native applications both on computers and on mobile. Application can be accessed offline, provide notifications, and there is no need to download application on the PlayStore or App Store, just through the website. This PWA exists to address these issues. PWA makes things faster and optimizes quality.
Simulating time evolution on distributed quantum computers

Quantum interconnect technology is crucial for enabling multicore distributed quantum computing. An algorithm for distributed quantum dynamics simulations is presented that is designed to mitigate the low transmission rate of near-term interconnect hardware.
Addressing the Algorithm Selection Problem through an Attention-Based Meta-Learner Approach

In the algorithm selection problem, where the task is to identify the most suitable solving technique for a particular situation, most methods used as performance mapping mechanisms have been relatively simple models such as logistic regression or neural networks. In the latter case, most implementations tend to have a shallow and straightforward architecture and, thus, exhibit a limited ability to extract relevant patterns. This research explores the use of attention-based neural networks as meta-learners to improve the performance mapping mechanism in the algorithm selection problem and fully take advantage of the model’s capabilities for pattern extraction. We compare the proposed use of an attention-based meta-learner method as a performance mapping mechanism against five models from the literature: multi-layer perceptron, k-nearest neighbors, softmax regression, support vector machines, and decision trees. We used a meta-data dataset obtained by solving the vehicle routing problem with time window (VRPTW) instances contained in the Solomon benchmark with three different configurations of the simulated annealing meta-heuristic for testing purposes. Overall, the attention-based meta-learner model yields better results when compared to the other benchmark methods in consistently selecting the algorithm that best solves a given VRPTW instance. Moreover, by significantly outperforming the multi-layer perceptron, our findings suggest promising potential in exploring more recent and novel advancements in neural network architectures.
AUDIO-VISUAL AIDS MEDIA, LANGUAGE ACQUISITION AND ATTITUDE: AN INITIAL INVESTIGATION IN THE EFL CLASSROOMS

Audio-Visual-Aids (AVA) media is a type of media that has long been acknowledged as a teaching aid in foreign language contexts. However, its uses are varied greatly from teacher to teacher depending on the content, inventiveness, classroom needs, and benefits approaches in language learning. Thus, the current research focused on the investigation of the analysis of vocabulary acquisition in the form of nouns and word spellings. In addition, the researcher also determined the influences of the use of the media on learners’ attitudes. A quantitative pre-experimental research approach in a one-group pre-test post-test design was performed involving 35 participants. AVA media was given within four meetings in the form of PowerPoint slides completed with original audio dubbing and fifteen images representing “Things in My Room”. To get further looks at their attitude, the participants also completed a questionnaire responding to 4 Likert Scales regarding their experiences. The analysis was reported to find out the average scores and initial hypotheses using a t-test on two main focuses with a 0.05 significance level. Findings showed a positive significant difference in the average scores of students’ vocabulary acquisition in the pre-test (7.66) and post-test (12.37) or 12.37 7.66. Scores of the tcoun reached higher than the ttable or 18,56438 2,021. Most of the students agreed and strongly agreed, that learning with AVA media brought some benefits to their learning experiences, particularly in the context of Vocabulary Acquisition.
The need and opportunities for developing emotional intelligence in education

Emotional intelligence directly influences teacher performance as one of the indicators of successful teaching evaluation. In a comprehensive meta-analysis, Martins, Ramalho, and Morin (2010) showed that emotional intelligence is clearly, strongly, and unequivocally related to mental and physical health. They examined emotional intelligence in relation to school performance. It was shown that emotional intelligence has organisational, clinical, health, educational and social implications. Another question of great interest and importance is whether emotional intelligence can be developed. Recent evidence from Di Fabio and Kenny (2011) suggests that specific training may have significant benefits. We need to know more about what type of training is needed and why (Di Fabio &amp; Kenny, 2011).&#x0D; In this publication we seek answers to the following questions:&#x0D; - Can emotional intelligence be developed in education?&#x0D; - If it can be developed, how?&#x0D; - Is there a link between emotional intelligence and empathy?&#x0D; - What are the links between emotional intelligence and coping strategies?&#x0D; It is assumed that emotional intelligence can be learned. From birth, children are able to decode the feelings of others, express their own emotional state, delay or even control their emotions, i.e. they learn to "manage their emotions" (Kádár, A., 2012). Therefore, it is important that teacher education institutions and teacher training should place more emphasis on the development of emotional intelligence. This development is necessary for two reasons. Firstly, as our research has shown, the number of teachers who become emotionally weak, putting their own and their students' mental health at risk, increases in proportion to the length of time in the profession. On the other hand, their relational skills suggest that the majority of these teachers are capable of effective interpersonal relationships, as they are well-intentioned, willing to care about others, and even their strong desire to conform is underpinned by a desire to maintain good social relationships (Baracsi, 2011).
OmniGlasses: An Optical Aid for Stereo Vision CNNs to Enable Omnidirectional Image Processing

Abstract Stereo vision is a key technology for 3D scene reconstruction from image pairs. Most approaches process perspective images from commodity cameras. These images, however, have a very limited field of view and only picture a small portion of the scene. In contrast, omnidirectional images, also known as fisheye images, exhibit a much larger field of view and allow a full 3D scene reconstruction with a small amount of cameras if placed carefully. However, omnidirectional images are strongly distorted which make the 3D reconstruction much more sophisticated. Nowadays, a lot of research is conducted on CNNs for omnidirectional stereo vision. Nevertheless, a significant gap between estimation accuracy and throughput can be observed in the literature. This work aims to bridge this gap by introducing a novel set of transformations, namely OmniGlasses . These are incorporated into the architecture of a fast network, i.e., AnyNet , originally designed for scene reconstruction on perspective images. Our network, Omni-AnyNet , produces accurate omnidirectional distance maps with a mean absolute error of around 13 cm at 36.4 fps and is therefore real-time capable.
Public relations' disruption model on chatgpt issue

With the rising of AI technology, a new disruption occurred in society. Disruption can actually be a social phenomenon that exists even in Indonesian society. However, the current state is making the disruption become a commercial interest. A bold example is Tesla's AI Bot named Optimus in the @TeslaAIBot account and a new GPT used for Twitter commentaries called @ReplyGPT. Content Analysis was the methodology for this research, with crawling data related to ChatGPT from Twitter from December 2022-January 2023. Both served as the bridge between humans and AI, and both pushed awareness that there are other creatures than humans. The sequential explanatory design method will discover a new perspective of GPT as advanced technology. People realise that the closest thing that could change human civilisation is language models.
Institutions in the development of Sub-Saharan African countries in 2004–2019

Motivation: Institutions play a significant role in development processes, contributing to understanding the economic backwardness of Sub-Saharan Africa. There is no consensus in the literature on the specific set of institutions that significantly influence developmental processes. Furthermore, there is no convincing evidence that institutions create the proper environment for long-term growth or result from increased development due to advances in human capital and investments. Therefore, the article examines overcoming the developmental backwardness of those countries following sustainable development.Aim: The article aims to analyze whether institutions contribute to the development processes of Sub-Saharan African countries. The paper identifies the differences in channels of institutions’ impact on the two development measures, GDP per capita and the Human Development Index (HDI). Regarding the high diversity in the level of development of countries in the region and the differences in their institutional systems, thirty-two countries in Sub-Saharan Africa were grouped regarding HDI level.Results: The heterogeneous panel Autoregressive Distributed Lags (ARDL) models revealed that in the lower developed countries, financial aid in the form of grants or very low-interest loans from the World Bank and OECD is of particular importance. They show that increased use of CO2 is a proxy for driving forces of African economies (production, investments, etc.). Indicators referring to institutions’ measurement like government effectiveness, political stability, economic freedom, or the number of days for establishing a business play important roles in continuing development.
Accelerated Histogram of Oriented Gradients for Human Detection

Histogram of Oriented Gradients (HOG) is an object detection algorithm used to detect people from an image. It involves features extraction called ‘HOG descriptor’ which are used to identify a person in the image. Several operations are involved in the feature extraction process. Hence performing numerous computations in order to obtain HOG descriptors takes some considerable amount of time. This slow computation speed limits HOG’s application in real-time systems. This paper investigates HOG with a view to improve its speed, modify the feature computation process to develop a faster version of HOG and finally evaluate against existing HOG. The technique of asymptotic notation in particular Big-O notation was applied to each stage of HOG and the complexity for the binning stage was modified. This results in a HOG version with a reduced complexity from n4 to n2 thereby having an improved speed as compared to the original HOG.
Recognizing the known unknowns; the interaction between reflective thinking and optimism for uncertainty among software developer’s security perceptions

Software development is a complex process requiring aspects of social, cognitive, and technical skills. Software engineers face high levels of uncertainty and risk during functional and security decision making. This preregistered study investigates behavioural measures of cognitive reflection, risk aversion, and optimism bias among professional freelance software developers and computer science students, to expose relationships between uncertainty-associated language and risk sensitivity. We employ content analysis with a mixed-effect model to understand how psychological dimensions influence risk sensitivity in secure software development. We show an interaction between cognitive reflection and optimism bias in the proportion of uncertainty-related language used. Overly optimistic outlooks combined with higher cognitive reflection drives up expressions of uncertainty, while pessimistic or realistic individuals reduce uncertainty as cognitive reflection increases. Software engineers who hold average or pessimistic views on the security of their code are more likely to speak more intuitively about security and risk. We discuss the potential of our findings in relation to understanding how to leverage language used by engineers as markers of risk aversion. Encouraging increased discourse could be used as a catalyst for increased cognitive reflection and grounding optimistic behaviours, leading to more careful decisions.
Exploring the Relation Between Metacognition, Gender, and Personality in Colombian University Students

In the present study, the relationship between objective and subjective measures of metacognition, personality traits of the Big Five (extraversion, agreeableness, conscientiousness, neuroticism, and openness) and gender were examined. A convenience sample of 352 university students completed the Metacognitive Awareness Inventory, the Adjectives to Evaluate Personality instrument, and completed 3 domain-specific tests (vocabulary, probabilities, paper folding) along with confidence in performance judgments for each item on these tests. Through a combination of descriptive statistics, zero-order bivariate correlations, simultaneous multiple regression, and a multivariate analysis of covariance, findings indicate that objective and subjective measures of metacognition are weakly related and that subjective measures of metacognition were more strongly related to personality traits. Conscientiousness and openness were the only personality traits that positively predicted metacognition. Gender affected both subjective and objective measures of metacognition, even after controlling for university type (private, public) and perceptions of academic performance (high, low) such that males were more accurate and less biased in their monitoring than females only in mathematical reasoning and they reported higher awareness of their knowledge and regulation of cognition than their female counterparts. Findings support the need to better understand how personality traits and gender affect self-regulated learning skills like metacognition to improve educational practices.
Pengaruh Model Cooperative Integrated Reading and Composition (Circ) Terhadap Hasil Belajar Membaca Siswa

This study aims to determine the influence of learning outcomes Indonesian using the CIRC (Cooperative Integrated Reading and Composition) learning model on the learning outcomes of reading Indonesian in class IV students at SDN Duri Kepa 07. This research uses a quantitative approach with a Quasi Experimental method type Posttest-Only Control Group Design. The population in this study was all grade IV students of SDN Duri Kepa 07 in the even semester of the 2021-2022 academic year. The study sample totaled 62 learners from classes IV-A and IV-C. The sampling technique of this study used the Cluster Random Sampling method. The research instrument is in the form of an objective test in the form of multiple-choice questions consisting of 30 questions. The instrument was first tested at SDN Duri Kepa 07 with 32 students. The calculation of the validity test uses the Correlation Point Biserial formula on 40 questions in multiple choice form with 30 valid questions and 5 drop questions. Meanwhile, in the calculation of the reliability test using KR-21, it obtained a rcount of 0.70 with a very strong level of reliable interplay. Furthermore, there is an analysis requirement test that is carried out a normal test with the liliefors formula, then normally distributed data from the experimental class and the control class are obtained. Furthermore, the homogeneity test calculation using the Fisher test obtained homogeneous distribution group variance data. Then the hypothesis test using the t-test resulted in a calculation of 2.288 with a significant 5% which resulted in the rejection of H0. The results of this study can be concluded that there is an influence of the Cooperative Integrated Reading and Composition (CIRC) model on reading learning outcomes Indonesian Grade IV students of SDN Duri Kepa 07. &#x0D; Keywords: CIRC Model, Reading, Indonesian Learning Outcomes
Comparison of complexity bounds for Bellman and Lupanov problems

The report will focus on two issues. The first of these is to study the complexity of the calculation monomial in m variables. This problem was formulated in 1963 by R. Bellman and has an interesting history. The second problem, posed in 1988 by O.B. Lupanov, can be defined as the problem on the complexity of computing an element of an Abelian group. It is clear that the problems of Bellman and Lupanov are very similar and the results obtained for one of them, as a rule, are transferred to the other. However, in some cases, the complexity values for these tasks may differ significantly. Comparison of the complexity values for the Bellman and Lupanov problems will be discussed in the report.
Peningkatan Hasil Belajar IPA Materi Komponen Ekosistem melalui Media Puzzle Siswa Kelas V SD Negeri 01 Gunuang Malintang Kecamatan Pangkalan Koto Baru

The purpose of this study is to describe the improvement of student learning outcomes in science learning material for class V Ecosystem Components at SD Negeri 01 Gununag Malintang, Pangkalan District through Puzzle media for semester 1 of the 2019/2020 school year. This type of research is classroom action research, the subject of this research is the fifth grade students of SD Negeri 01 Gunuang Malintang. The research subjects were the fifth grade students of SD Negeri 01 Gunuang Malintang, totaling 28 students consisting of 9 male students and 19 female students. Data collection techniques in this study are observation and tests. Student learning outcomes in the pre-cycle is 68.92, the first cycle is 77.14 in the second cycle rose to 83.92. So it can be concluded that increasing student learning outcomes through puzzle media can improve student learning outcomes. From the results of the study it can be concluded that increasing student learning outcomes through puzzle media can improve student learning outcomes.&#x0D; &#x0D; Keywords: Learning Outcomes, Media Puzzle, Ecosystem Components
Upaya Meningkatkan Motivasi Belajar dan Kemampuan Menulis Permulaan Siswa Melalui Penerapan Media Pembelajaran Kartu Kata Pada Kelas I SDN 170 Bengkulu Utara

This study aims to prove whether the application of word card learning media in Indonesian language learning can increase students' motivation and pre-writing skills. The research design used was classroom action research with two learning cycles. The research subjects in this study were students of class I SD Negeri 170 Bengkulu Utara which consisted of 20 students. The research was conducted for two months starting from September 2019 to November 2019. The results showed that the word card learning media was proven to be able to increase student learning motivation in Indonesian language learning, where in the initial test the percentage of student learning motivation was 40%, increasing in cycle I by 60% and increased in cycle II by 85%. The learning media for word cards were also proven to be able to improve students' initial writing skills in Indonesian language learning, where in the initial test the classical completeness level was 35%, increased in cycle I to 55% and in cycle II increased to 85%. In conclusion, the learning media for word cards were effective in increasing learning motivation and initial writing skills of SD Negeri 170 Bengkulu Utara&#x0D; &#x0D; Keywords: word cards, writing skills, instructional media, learning motivation.
A STUDY OF SPEAKING COMMON UNIVERSITY LEARNER BARRIERS IN INDONESIAN CONTEXT

Learning foreign languages for worldwide communication has become increasingly important for university students as the desire for global integration has grown. As a result, English as a second language should become a required course at the university level. However, achieving their speaking competency level in this situation is difficult for English learners. Due to specific limitations in English speaking barriers, this research was conducted to find out the learners' barriers to speaking English. This research applied a descriptive qualitative method in analyzing the data collected. The subjects of this research were the sixth-semester learners from five different study programs at the Christian University of Indonesia (UKI) Toraja (UKI Toraja). The researchers used a snowball sampling technique and elected 20 students as participants. To collect the data, the researchers used semi-structured interviews. The result of the data analysis showed that the sixth-semester learners found barriers in speaking English. Those barriers are: 1) psychological barriers (anxiety, shyness, nervousness, lack of confidence, fear of making mistakes), and 2) linguistic barriers (lack of vocabulary, lack of grammar
THE IMPACT OF ORGANIZATIONAL TRUST UPON PROCESS INNOVATION THROUGH PATH OF ABSORPTIVE CAPACITY

The aim of current study was to examine how absorptive capacity functions as mediator amid organizational trust and Process innovation. Employee information was gathered and basic linear and multiple regression analysis were used to further examine the data. The findings support hypothesis that organizational trust influences process innovation via absorptive capacity. The conditional indirect impact model demonstrates how absorptive ability mediates indirect link between organizational trust and process innovation. The cross-sectional design of this study was its main drawback. To deepen their understanding of the significance of organizational trust, researchers in human resource management should work to expand and imitate findings using multi-wave data. This is first example to demonstrate how absorptive capacity might affect organizational trust, which in turn can drive process innovation. The study offered significant results that helps in reaching the desired conclusions and offering certain recommendations to policymakers and future researchers in order to revisit their research regarding the issues under consideration.
Better Language Models of Code through Self-Improvement

Pre-trained language models for code (PLMCs) have gained attention in recent research. These models are pre-trained on large-scale datasets using multi-modal objectives. However, fine-tuning them requires extensive supervision and is limited by the size of the dataset provided. We aim to improve this issue by proposing a simple data augmentation framework. Our framework utilizes knowledge gained during the pre-training and fine-tuning stage to generate pseudo data, which is then used as training data for the next step. We incorporate this framework into the state-of-the-art language models, such as CodeT5, CodeBERT, and UnixCoder. The results show that our framework significantly improves PLMCs' performance in code-related sequence generation tasks, such as code summarization and code generation in the CodeXGLUE benchmark.