Reviewerly/exHarmony huggingface dataset:
Effective Use of Metacognitive Strategies of Students in ESL Writing Based on Gender

There is a clear association between gender differences in using metacognitive strategies in English as a second language (ESL) writing and poor writing achievement, and one of the factors that contributes to this correlation is the sense of how male or female students use their brain hemisphere when presented with the writing task. Students who are studying ESL view the ESL writing task as difficult because they find it significantly more difficult to use metacognitive writing strategies in their writing tasks due to their poor proficiency in ESL and failure to use appropriate metacognitive writing strategies, which makes it difficult for them to write a coherent and cohesive essay. This study's primary purpose is to investigate whether students’ gender significantly affects their metacognitive writing strategies before, during, and after writing. This study employed a descriptive research design using quantitative data. 480 Form Four students from 12 secondary schools in Melaka, Negeri Sembilan, and Selangor made up the study's sample. The sample was chosen via purposive sampling. In order to gather data, the questionnaire served as the preferred method. The data from the questionnaire were analyzed using SPSS for Windows version 25. In this study, a one-way ANOVA was employed to detect whether there was a discernible gender gap in the use of metacognitive writing strategies before, during, and after the writing process by ESL male and female students. This study showed some interesting findings. First, the findings showed that in the use of overall metacognitive writing strategies, female students were much higher than their counterparts in ESL writing in terms of taking a position on the topic. Second, and this difference is crucial, female students also employed more metacognitive writing strategies before, during, and after writing. Therefore, it is suggested that metacognitive writing strategies be employed as an effective pedagogical tool to improve students’ writing performance and thus, education quality, in future ESL classes.
Conditional normalizing flow for multivariate time series anomaly detection

Multivariate time series data is becoming increasingly ubiquitous in various fields such as servers, industrial applications, and healthcare. However, detecting anomalies in such data is challenging due to its complex time-dependent, high-dimensional, and label scarcity. Aiming at this problem, this paper proposes an Attention Factorization Normalizing Flow (AFNF) algorithm for unsupervised multivariate time series anomaly detection. Our hypothesis is that anomalies are in a low-density region of the distribution. To transform the complex density of high-dimensional time series into a simple evaluable conditional density, we propose a time series factorization strategy and parameterize the conditional information generated by factorization in the time and attribute dimensions using an attention mechanism. Moreover, to compensate for the lack of temporal information due to the permutation invariance attention mechanism, a adjacency contrasting approach is proposed to model the local invariance of the time series. To provide long-term location information, a learnable global location encoding is introduced. Conditional normalizing flows are applied to evaluate the conditional probability of the observations. Finally, through extensive experiments on three real data sets, our method yielded the best results and its effectiveness in density estimation and anomaly detection is demonstrated.
Aplikasi Quizizz sebagai Media Pemahaman Matematis

This article aims to analyze the mathematical understanding of grade I elementary school students using the Quizizz application media in mathematics lessons. The study in this article is focused on the mathematical understanding of elementary school students in using the Quizizz application in mathematics lessons. This research method uses a qualitative descriptive method, the data source consists of the results of interviews with teachers using teacher interview sheets, student observations using student observation sheets, and documentation. Data analysis used in this research is data collection, data reduction, data presentation, and conclusions. The focus in this research is to analyze students' systematic understanding in using the quizizz application. Based on the data obtained during the research using the quizizz application for class 1 students at SD Muhammadiyah 24 Surabaya, it shows that students are able to fulfill the four indicators of mathematical understanding including students are able to mention the concept of the material being studied, students are able to apply concepts algorithmically, students are able to identify and make examples of concepts that have been studied, and students are able to associate mathematical concepts with external and internal mathematical concepts. In addition, in this study, researchers found an increase in interest in learning as evidenced by the enthusiasm of students when working on the questions given on Quizizz. Overall students can answer correctly so that they show good understanding, but there are several obstacles to students, namely there are students who cannot read so the teacher must provide assistance to these students. So it can be concluded that grade 1 students at SD Muhammadiyah 24 Surabaya are able to understand mathematical concepts so that students' mathematical understanding is achieved according to the indicators of mathematical understanding
Do Environmentally Responsible Practices in Accommodation Establishments Matter?

Environmentally responsible practices (ERPs) in accommodation establishments are identified as the implementation and or execution of certain principles in such a way that it lowers the production of waste, preserve energy, and encourages environmental health. The main purpose of this study is to identify whether or not environmentally responsible practices in accommodation establishments matters. A descriptive survey design was used. The study utilised a quantitative research approach with questionnaires as a data collection instrument. The data were analysed using Statistic Package for the Social Science (SPSS), software version 23, to enable the generation of descriptive and bivariate statistics for the interpretation of the results. The following themes emerged from the study; namely, guests’ preferences of ERPs, influence of return patronage and the effect knowledge have on ERPs. Most participants were not bothered by the re-use of linen and towels, yet establishments still need to invest more time in educating the guests in this regard. Guests indicated that they would return to an accommodation establishment that practices linen reuse programs, water conservation and waste management procedures. This study provides insights on ways guests view ERPs and their preferences. It provides accommodation establishments a scope on what their guests are comfortable in participating on.&#x0D;
Research on Demand Response Data Compression Based on Neural Network under 5G Environment

In the context of 5G, data volume is exploding, and data transmission and processing are facing challenges. In this paper, a data compression algorithm based on neural network is proposed to solve the problem of large scale and high dimension of demand response data in the process of transmission and storage. By mapping demand response data to low dimensional space for representation, the algorithm effectively reduces the amount of data and improves the efficiency of data transmission and storage. The algorithm uses Long Short Term Memory network for data compression and restoration. The experimental results show that the data compression algorithm based on neural network has good compression effect and accuracy. At the same time, the algorithm has good versatility and adaptability, and can be applied to the compression and restoration of data sets of different types and sizes, providing an effective solution for efficient demand response data processing.
Frozen Meat Sales Website Design Based on Laravel Framework

To market a product is usually done by offering it to many people you meet or giving brochures. However, if a product that is sold and offered to potential buyers is not everyone's consumptive product, then the marketing must be different. The use of digital media in the current technological era, it is highly recommended to market products as a means of selling such as a sales website . Sales transactions made at the company so far are conventional, such as ordering products using telephone media and sales that come directly to stores and offer products. Management of data and reports is still done semi-computerized using Microsoft Office. The purpose of this study is to analyze the problems that occur and provide system design proposals for the company. Data collection techniques were carried out by means of observation, interviews, and literature study. method of analysis in this study using PIECES analysis. To describe the design model and system design using Unified Modeling Languages (UML). The result of this research is a sales information system designed using the PHP programming language, database MySQL, and assisted by frameworks such as laravel. With this proposed system, it will be easier for customers to find and buy products contained in the company as a company's sales promotion media, and assist sales in selling products.
Skunkworks and Generality

prefatory Share on Skunkworks and GeneralityLinking the World’s Information: Essays on Tim Berners-Lee’s Invention of the World Wide WebSeptember 2023Pages xxi–xxiiihttps://doi.org/10.1145/3591366.3591368Published:05 September 2023Publication History 0citation0DownloadsMetricsTotal Citations0Total Downloads0Last 12 Months0Last 6 weeks0 Get Citation AlertsNew Citation Alert added!This alert has been successfully added and will be sent to:You will be notified whenever a record that you have chosen has been cited.To manage your alert preferences, click on the button below.Manage my AlertsNew Citation Alert!Please log in to your account Save to BinderSave to BinderCreate a New BinderNameCancelCreateExport CitationPublisher SiteGet Access
ANALYSIS OF SELF-CONTROL IN THE FORMATION OF AN ASSOCIATION OF OVERSEAS STUDENTS ON THE LEADERSHIP PATH SEI KERA HILIR I

Merantau is an activity carried out by someone who leaves his hometown on his own accord within a predetermined period of time with the aim of seeking life, studying knowledge and seeking experience. At this time, adolescents should begin to learn to have responsibilities who are able to think and act according to the norms prevailing in society. Self-control is an ability possessed by individuals, in this case students, to control or control themselves, both in terms of their behavior, thoughts and choices of decisions to be taken by these individuals. Overseas students need self-control so that the trust that their parents give them is maintained properly. This study aims to analyze self-control in the formation of overseas student associations in Sei Kera Hilir I village, Medan. The method used in this research is descriptive qualitative. The sample used in this study were overseas students who were in Deda Sei Kera Hilir I, obtained by snowball sampling technique. The results of interviews with informants show that students feel a new life in the overseas environment and the self-control of every student who migrates is certainly different. There are those who apply it by contemplating in the room alone, there are those who invite other friends to exchange stories and some of them definitely hide things that are not good about not wanting to bother their friends. The causal factors are family conditions in the village, coursework, economics and others. It is conducted that forms of self-control in overseas students are behavioral control, cognitive control, and satisfaction control.
A Post-Quantum Compliant Authentication Scheme for IoT Healthcare Systems

In an IoT-based healthcare system, medical IoT devices gather and transmit critical patient data. Ensuring the security and privacy of medical data is paramount. One of the most critical challenges in this regard is the authentication of participating entities. The literature proposes specific authentication approaches for healthcare systems based on integer factorization and discrete logarithm problems. However, the advent of quantum computers would fundamentally break all of these protocols. In this study, we conducted an analysis of a recently proposed authentication and access control scheme for e-health systems, which is based on lattice-based cryptography and was developed by Gupta et al.. Our analysis revealed that the scheme is vulnerable to several types of attacks, including impersonation, de-synchronization, and smart card stolen attacks, which could compromise the confidentiality and integrity of sensitive medical data. To address these security challenges, we propose an alternative authentication and access control scheme that uses Saber, a finalist lattice-based key encapsulation algorithm from round three of the NIST PQC standardization. One of the biggest advantages of Saber is its simplicity and efficiency. Our proposed scheme is designed specifically for e-health systems and provides robust protection against the vulnerabilities identified in Gupta et al.’s scheme. We believe that our proposed scheme represents a significant improvement over existing approaches and could help to enhance the security and privacy of e-health systems. Upon completion of our improved protocol, we proceeded to implement it within the Vivado 2018.3 environment for Zynq UltraScale FPGAs. To gather insight into its performance, we conducted a performance comparison study with various related protocols.
Quantum Key Distribution in Daylight with an Adjustable Spatial Filter

Quantum key distribution (QKD) remains extremely challenging in daylight. We developed an adjustable spatial filter and demonstrated kbps-rate entanglement-based QKD over 1.7 km in direct sunlight. We investigated its potential to further optimize system performance.
Rancang Bangun Lift Sederhana Berbasis STEM (Science Technology, Engineering, and Mathematics) pada Konsep Hukum Newton

The purpose of researching these was to design a simple elevator learning media based on Science, Technology, Engineering, and Mathematics (STEM) and test the feasibility of the learning media to explain Newton’s legal concept. This research was manipulation research. The design of this device consists of three main components: acrylic, dynamos and Arduino Uno. Validation of the feasibility of the tool is reviewed from the aspect of material experts, media experts and tool feasibility. Two lecturers and one teacher tested the teaching aids. The data analysis technique in this research was the descriptive analysis technique. Based on the result of the expert questionnaire calculation, the average of 89,19% with very good criteria. So it can be concluded that simple Science, Technology, Engineering, and Mathematics (STEM) based elevator learning media are very worthy of being used as a physical model to explain newton’s legal concepts
FAIR for Research Software (FAIR4RS): A summary

&lt;em&gt;August, 2022&lt;/em&gt; Authors: Daniel S. Katz, Tom Honeyman, Paula Andrea Martinez, Michelle Barker, Leyla Jael Castro, Neil Chue Hong, Morane Gruenpeter, Jennifer Harrow, Anna-Lena Lamprecht, Carlos Martinez-Ortiz, Fotis Psomopoulos &lt;strong&gt;Introduction&lt;/strong&gt; This blog post describes the need for, the work towards, and the recent completion of version 1.0 of the FAIR Principles for Research Software (FAIR4RS Principles v1.0). It also brief
Comparative analysis for augmented decision-making applications using deep learning models

Now a days decision-making plays a significant role in various applications and several research. For applications such as diseases, intelligent routing systems, and online shopping carts such as e-commerce sites, recommended systems are developed based on sentiment analysis (SA) and take accurate decision-making based on the predictions and analyze the accurate decisions based on the result analysis. When it comes to practical uses, deep learning (DL) has by far been the most popular. DL becomes an indispensable domain for several tasks in science and engineering. It is very difficult to take decisions based on traditional tests in various research areas such as disease prediction, textual sentiment analysis, and risk prediction of autonomous vehicles due to the lack of accuracy and long time for results. To address this, various approaches are proposed to adopt. Decision-making is based on multi-criticism, which is more useful to solve critical issues in making accurate decisions than previous approaches. In this paper, an improved and augmented decision-making deep learning algorithm is discussed and shows the comparison among the various DL algorithms. The performance is calculated according to the parameters.
Automatic face enhancement technique using sigmoid normalisation based on single scale Retinex algorithm

The identical faces look dissimilar due to the change of illumination and it leads to incorrect results in face detection. In general, The Retinex algorithm improves visual quality by attaining good dynamic range and colour constancy. This work, a single-scale Retinex (SSR) algorithm based on sigmoid normalisation is proposed. The proposed normalisation suppresses the impact of outlier's data and improves the enhancement. The former min-max normalisation leads to loss of information and focused on specific parts of the normalised range. The SSR computes the reflectance values from the input image in different colour space. Followed, the sigmoid normalisation achieves good dynamic range compression through contrast factor (C) from estimated reflectance value. The performance of the proposed algorithm is validated in MUCT and IMM database. The experimental result shows the proposed algorithm attains better enhancement in contrast factor (C) between 40-50 scales under different illumination.
The “subjective microphone” technique in M. Khutsiev’s film “I am Twenty”

The object of research in this article is the actor speech in the cinema of the "Khrushchev Thaw" period. The subject of the research is the artistic specifics of the recorded speech in the film "I am Twenty." The article analyzes the use of "subjective microphone" technique in the sound landscape of the film "I Am Twenty" by Marlen Khutsiev. The aesthetic and technical aspects of the use of the above technique have been analyzed in detail. "Subjective microphone" is considered by the author as part of the updated speech style that appeared in Soviet cinema in the era of the " Khrushchev Thaw." The author pays special attention to the influence of the updated speech aesthetics of cinema of the 1950s and 1960s on theatrical art and acting. The novelty of this research lies in the study of the phenomenon of acting speech in the cinema of the "thaw" from an aesthetic and technical standpoint. The term "subjective microphone" was first introduced into scientific circulation in application to sounding speech in screen arts. The term "cross-diegesis" is proposed for inclusion in scientific circulation to determine a special sound space formed in screen arts when using the technique of a "subjective microphone." The article scientifically substantiates a special place that is occupied by the "subjective microphone" technique in the concept of dividing the sound space of the film into diegetic, non-diegetic and methadiegetic layers. Separately, the author dwells on the inclusion of the reception of the "subjective microphone" in the general documentary-poetic artistic style of Marlen Khutsiev. In conclusion, the author says that the appearance of magnetic sound recording in the 1950s had a powerful effect on the aesthetics of film monography and, in particular, the sound of acting speech.
Data-Driven Decoding

There’s a Python library called monty that supports a convention for moving between JSON objects and Python class instances. The major components are a mix-in class, MSONable, along with subclasses of json.encoder.JSONEncoder and json.decoder.JSONDecoder. An appropriate JSON object will have two special keys: @module and @class.
Penggunaan Algoritma Naïve Bayes pada Klasifikasi Judul Proyek Akhir Berdasarkan Kelompok Bidang Kompetensi (KBK)

The Final Project is one of the graduation requirements that must be met by Caltex Riau Polytechnic students. The title of the final project is submitted by students through the SIAK system. Currently, students who submit titles will choose their own type of KBK from the inputted title. So that a problem arises where the title of the final project does not match the KBK it should or the KBK is wrong. This is due to the ignorance of students in analyzing the title data of the final project that will be submitted. For this reason, a system is needed to classify Final Project titles based on CBC automatically. The system created is a system that can classify KBK automatically based on the description of the title of the Final Project by using text mining methods and nave Bayes algorithms. The system can also detect the percentage of similarity of the entered title with the existing title in the system database. The algorithm used to generate the percentage of title similarity is cosine similarity with text mining method.
An Exploratory Research on Korean Pre-Service Teachers' Field Experiences in a Teacher Preparation Program

Field experience is fundamental to preparing pre-service teachers (PSTs) for in-service teacher roles. Although many studies have explored the impact of field experience, few have examined PSTs' comprehensive experience for field practicum. This study explored Korean PSTs' experience regarding expectations, satisfaction, and evaluations through field experiences. The data was collected from a teacher education program in Korea in the 2022 academic year. The survey was conducted after the field experience (n=44). Study results showed that the PSTs reported various expectations for field experience. For example, PSTs responded that they want to meet an exemplary teacher who can serve as a role model and hope to receive help when they have any difficult problems related to field experience. Second, PSTs had high satisfaction after the field experience. They also responded that the contents (theory, method) learned from the university coursework were very helpful for their field experience. Third, PSTs responded with high ratings for the effectiveness of the field experience. Finally, PSTs reported improving their teaching ability (guide plan, teaching method, progress, teaching tools) and gaining teaching confidence. Several suggestions are provided to build an effective field experience practicum in the teacher education program.&#x0D; &#x0D; Received: 11 June 2023 / Accepted: 10 August 2023 / Published: 5 September 2023