Reviewerly/exHarmony huggingface dataset:
As open as possible, as closed as necessary: how to find the right balance in sharing citizen science data for health?

Citizen science should adhere as much as possible to the ideas of open science. On the topic of data sharing, the FAIR principles could be applied, making data as open as possible and as closed as necessary. However, it is unclear how open participants want to be with health-related data that is collected as part of a citizen science project. The current study is a first investigation of this topic with a multidisciplinary group of stakeholders and experts in a citizen science for health project. In two focus group discussions we discussed the views and desires regarding the sharing of data and the preferences for the levels of openness when sharing. The results of this study provide preliminary preferences regarding openness; people find sharing of data important yet not all are comfortable with making data completely open. Therefore, it was chosen to share metadata of our projects in repositories, and provide the full, anonymized or pseudonimized, dataset upon reasonable request. Future research needs to be done to confirm the current findings and to investigate the preferences of a broader group of participants in citizen science for health.
The Application of Technological Adaptation in the Targeted School of Teaching Campus

Technological adaptation is being pursued, especially in the educational world, which is currently in an emergency period, thus it forces learning adaptation. During this time, human' brains start to think the new ways to solve their problems or what helps their activities. From this process, technology emerges and is growing. Technology has many benefits and convenience in the world of education, but it still has not fully benefited yet in education. Furthermore, the government created the program the Kampus Mengajar to improve the quality of schools from many sides, one of them being technology. This research aimed to design the program of technological adaptation conducted in the targeted school for the Kampus Mengajar. The research design used classroom action research. The subjects involved students of grade 5 in the targeted school for Kampus Mengajar. The data of this research were collected by observation, interviews, and documentation. The data were analyzed by qualitative descriptive analysis. The results of this finding showed that the uses of video, online quizzes, zoom meeting, computer device, the application of the AKSI assessment, and AKM simulation are effective, though it was not maximally used for online learning. This research concludes that several programs require more in-depth preparation to be effective in online learning in the targeted schools of the Kampus Mengajar.
REINFORCE-ing citizen science

REINFORCE (REsearch INfrastructures FOR Citizens in Europe) is a "Science with and for Society" (SwafS) project, funded by the European Union under the Horizon 2020 research programme.REINFORCE partners have developed four demonstrators, two of which were presented in a hands-on session during the Engaging Citizen Science Conference 2022 in Aarhus, Denmark.In the "Search for new particles at CERN" demonstrator, citizen scientists contribute to the search for undiscovered particles at the ATLAS experiment, while in the "GWitchHunters" demonstrator, they contribute to the improvement of the sensitivity of the current generation of gravitational-wave detectors.
Pedagogical Models Based on Transversal Digital Competences in Distance Learning: Creation Parameters

This article presents an investigation to define the parameters that guide the construction of pedagogical models (PM) based on transversal digital competences (DC) for distance learning (DL). A qualitative research approach was implemented in three stages: 1. a theoretical survey to build the initial parameters; 2. a case study of a course with teachers to apply the initial parameters; and 3. definition of the final parameters based on data comparison and analysis. A relationship was established between the concepts of pedagogical models, digital competences, and distance learning. Data was collected through questionnaires, interactions, and activities carried out during the course, which made it possible to identify the teachers' profile and the parameters for the pedagogical model based on digital competences. The data was analyzed, categorized, and treated for interpretation. Two categories were defined: pedagogical model to construct the digital competences and digital competences in distance learning. As a result, parameters were defined, in a framework, to assist in the construction of a pedagogic model based on digital competences in a gradual, integrated, and transversal way that can be used in any distance learning area, course, or discipline. The results of this work demonstrate that the proper construction of a PM consists in properly using technological tools based on digital competences. Furthermore, teachers must gain competences through training. This new approach, treating digital competences as transversal in the pedagogical model and its inclusion in institutional educational systems, aims at fostering teacher training through the construction of digital competences in education.
Face Gender and Age Classification Based on Multi-Task, Multi-Instance and Multi-Scale Learning

Automated facial gender and age classification has remained a challenge because of the high inter-subject and intra-subject variations. We addressed this challenging problem by studying multi-instance- and multi-scale-enhanced multi-task random forest architecture. Different from the conventional single facial attribute recognition method, we designed effective multi-task architecture to learn gender and age simultaneously and used the dependency between gender and age to improve its recognition accuracy. In the study, we found that face gender has a great influence on face age grouping; thus, we proposed a random forest face age grouping method based on face gender conditions. Specifically, we first extracted robust multi-instance and multi-scale features to reduce the influence of various intra-subject distortion types, such as low image resolution, illumination and occlusion, etc. Furthermore, we used a random forest classifier to recognize facial gender. Finally, a gender conditional random forest was proposed for age grouping to address inter-subject variations. Experiments were conducted by using two popular MORPH-II and Adience datasets. The experimental results showed that the gender and age recognition rates in our method can reach 99.6% and 96.14% in the MORPH-II database and 93.48% and 63.72% in the Adience database, reaching the state-of-the-art level.
Online voting for grassroots initiatives in California: electronic signature collection

This article discusses the process of online collection of signatures for legislative proposals, taking as a starting point the current process for popular initiative in California. It describes how online signature of popular initiative petitions would work, as well as security issues and other objections to the collection of signatures via the internet could be addressed and, finally, the pros and cons of applying this method of collecting signatures to popular initiatives.
Entropy, Probabilistic Harmonic Space, and the Harmony of Antonio Carlos Jobim

This paper introduces a theoretical framework derived from a deep and detailed harmonic analysis of songs composed by Antonio Carlos Jobim, focusing on two components, namely, “semantic” (related to the idea of chord type) and “syntactic” (involving binary relations between contiguous chords). The research is mainly focused on investigating the correlations between compositional style (here related to the harmonic construction) and the concepts of probability, expectance, and, especially entropy, being the latter defined as a measure of uncertainty or “surprise” of events along time. After a bibliographical review of these topics and their applications to music, a section exposes Markov Chains, a mathematical tool used to formalize the “semantic-syntactic” harmonic relations statistically inferred in the analyzed corpus of Jobim’s works. Then it follows the formalization of a probabilistic harmonic space and the concept of probabilistic index, directly associated with the entropy of the observed binary relations. This approach opens a new analytical perspective, also allowing the generalization of the presented theoretical and methodological technology for the examination of other repertoires and posterior comparison, presenting then as a new mean of investigation on the nature of style.
Study on the Course Selection Factors Influencing Course Satisfaction in a New Liberal Arts Curriculum: Focus on the Mediating Effect of Instructor Characteristics

This study aimed to identify the course selection factors that affect course satisfaction and verify the mediating effect of instructor characteristics. For this purpose, we conducted an online survey of 209 students who chose the new liberal arts curriculum at H university in 2022.&#x0D; The research results were as follows. First, as a result of analyzing the effect of five course selection factors on course satisfaction, it was found that the interest variable among the factors had a significant positive effect on course satisfaction. Second, as a result of analyzing the mediating effect of instructor characteristics in the relationship between course selection factors and satisfaction, it was found that the instructor characteristics had a complete mediating effect. The results of the comprehensive analysis show that the instructor characteristics are a more important factor related to course satisfaction rather than others. This study is meaningful in that it attempted to analyze various online and offline standards related to course selection as variables and, above all, verified the complete mediating effect of instructor characteristics.
The Operational Status and Suggestion of Fundamentals of Nursing Practice in the Early Stage of COVID-19

Purpose: The purpose of this study is to understand the actual status of fundamentals of nursing practice (FNP) education at nursing colleges, and the difficulties of FNP operation in the early stages of the COVID-19.Methods: This study used a descriptive design. Data collection was conducted from December 9, 2020 to January 31, 2021 using the self-report questionnaire method for a total of 95 nursing colleges. The questionnaire consisted of characteristics related to FNP, changes in FNP education, difficulties in operating FNP, and countermeasures in the COVID-19 situation.Results: Changes in FNP due to COVID-19 were distribution of practice places, reduction of the number of students, short-term intensive classes, and reduction of face-to-face practice. Most colleges conducted FNP face-to-face, but some schools showed that FNP was conducted non-face-to-face. The difficulties of operating FNP that instructors experienced induced concerns about a decrease in student competency due to lack of face-to-face practice and an unofficial increase in the number of teaching hours and physical demands on instructors due to the expansion of the division.Conclusion: In order to develop the capabilities of nursing students in other pandemic situations in the future, it is necessary to find systematic coping strategy to reduce the burden of FNP instructors, and to develop non-face-to-face online practice contents and consumables for online practice.
PELAKSANAAN PROMOSI MELALUI KEGIATAN EVENT LOMBA NON AKADEMIK TINGKAT SMP/MTS

School creativity in gathering the interest of registrants in each school is very much needed, including conducting non-academic competitions, as has been done by SMA Muhammadiyah 6 Palembang. The title of this study is "Implementation of Promotions Through Non-Academic Competition Events for Junior High School/Madrasah Tsanawiyah at Muhammadiyah 6 Senior High School Palembang". This study aimed to determine the implementation of promotion through non-academic competitions at the Junior High School/Madrasah Tsanawiyah at Muhammadiyah 6 Senior High School Palembang and supporting factors and obstacles to school promotion through non-academic competition events at the junior high school / MTs level at Muhammadiyah 6 Palembang High School. In this study, the type of research that will be used as a type of qualitative descriptive research. The primary informants in this study were the Principal, while the supporting informants were the Vice Principal for Student Affairs / Public Relations and Teachers of Muhammadiyah 6 Palembang High School. The data collection techniques used are observation, interviews and documentation. The analytical methods used are data reduction, data presentation and conclusion. The results of this study show that the Implementation of School Promotion through Non-Academic Competition Events at SMA Muhammadiyah 6 Palembang has been carried out well through several indicators, namely market, mission, message, media, money and measurement. The supporting factors and obstacles to school promotion through non-academic competition events at the junior high school / MTs level at Muhammadiyah 6 Palembang High School are 1) Supporting factors are good communication between student committees, teachers, staff and school stakeholders, facilities to support activities and the availability of sufficient funds so that the competition event is held properly. 2) The inhibiting factors are other schools that hold similar non-academic competition events and inadequate medical equipment so that injured students must be taken to the hospital when there are injured students.
Introverted Learners Problems and Solving Strategies in Speaking English

This study investigated the problems and strategies for solving introverted learners' problems in speaking English. Qualitative research design was used in this research. An online MBTI test was used to recruit introverted participants. This research involved eight students at the fourth semester of the English Education Department of UIN SMH Banten. The researchers gathered the data through an online personality test, questionnaire, and interview. The result of this research showed that there were three problems introvert learners facing when they spoke English: linguistic problems (pronunciation, grammar, and vocabulary), feeling shy or nervous, and lack of self-confidence. This study also discovered that there were three factors affecting their problems: affective, environment, and personality. This research found six strategies to solve introverted learners' problems in speaking English. The strategies were as such; selfpractice as much as possible, regulating the breath, learning through social media platforms, taking a note of unfamiliar words, listening to English songs, and playing online games.
QR Code Analysis

Abstract: Two-dimensional matrix barcodes called "Quick Response" (QR) are used. It must store much information compared to one-dimensional barcodes, and it must be decrypted quickly using any handheld device, including a smartphone. When creating two-dimensional matrix codes, these two considerations are taken into account. The possibility of security becomes a significant factor when a bar code contains sensitive information or private data Users are unsure of whether a QR code will connect them to reliable information or a malicious website because QR codes are simply square bar codes with a distinctive design. Recently, QR codes have been used in numerous application fields, and their use is growing quickly. As a result, more individuals are becoming acclimated to this technology and using it properly. Due to the QR code's increasing popularity as more people use smartphones, it is swiftly acquiring universal acceptance. Given their broad acceptance, the security aspect of QR codes, such as data leakage and data tampering, is critical. The paper offers a comprehensive overview of QR codes and their applications.
Zoom Conference: A Study of Students' Perception on the Academic Achievement during COVID-19 Pandemic

In the pandemic era of Covid-19, the students must study from home through online platform. One of many new platforms used by the students during such pandemic era of Covid-19 was Zoom. Zoom is a cloud based application for video conference. Consequently, as one of many schools that cannot conduct offline learning, STKIP PGRI Bandar Lampung also used online learning. This research wanted to understand how online learning affected the STKIP PGRI Bandar Lampung students, regarding their academix achievement. The researchers used Cluster Random Sampling as a sampling technique to get the research sample. This research used questionnaires to collect the data. The questionnaires were given to and answered by 23 students from the second semester in STKIP PGRI Bandar Lampung. SPSS, consistency analysis, static analysis, and regression analysis were used as data collection technique and analysis. The results showed that Zoom can be used as an alternative educational platform, and this platform was an appropriate educational media at STKIP PGRI Bandar Lampung. The researchers concluded that STKIP PGRI Bandar Lampung students had a clear understanding and were ready to learn English using Zoom in the pandemic Covid-19 era
Symmetric Cryptographic Approaches

Abstract: In recent decades, information security has become a major concern. They have recently been intensively investigated and developed because they need more encryption and decryption and are tough to breach. These constraints need the use of encryption. In recent years, several academics have developed numerous encryption algorithms, such as AES, DES, 3DES, RC4 Algorithm, Blowfish Algorithm, and others. Data encryption techniques have advanced from relatively easy routes to quite hard mathematical calculations to guarantee excellent communication security. This study compares and contrasts symmetric encryption techniques, as well as attack vulnerabilities
Silent Letter Pronunciation Errors Made by English Major Students of Raden Intan State Islamic University

The purposes of this research were to classify the types of error made by the students in pronouncing silent letter, to count the total of errors that students made, and to know the source of errors. The subjects of the research were the students at the second semester of English Education Raden Intan State Islamic University of Lampung. The H class of the afforementioned students were the sample and purposing sampling technique was used to sample that class of 29 students. The result of the research showed that there were 4 types of errors; omission, addition, misformation, and misordering. The total of errors were 343 error’s items which made by the students. Addition was the most common errors made by the students, which was 211 items or 61,51%. Second most common was misformation with 84 items or 24,48%. It then followed by omission with 46 items or 13,41%. At the end of the errors’ classification based on surface strategy taxonomy was misordering with 2 items or 0,58%.
The Influence of Vocabulary Journal towards Students’ Vocabulary Mastery

As English is the lingua franca, mastering it is very important. However, the students of SMP N 5 Bandar Lampung were found to have difficulties in developing their English vocabulary due to the teaching strategy used by the teacher. This research was conducted to find out the influence of using vocabulary journal strategy in student’s vocabulary mastery using quasi-experimental design. The research population was the ninth grader of SMP N 5 Bandar Lampung in the academic year of 2021/2022. The research samples were two classes consisting 9G as the experimental class and 9H as the control class. The experiments were held in three meetings for each classes. After getting the data of student’s vocabulary scores from pre-test and post-test, the data were analyzed using SPSS. It was found that Sig. = 0.000 and α = 0.05, so H0 was rejected and Ha was accepted because of Sig. 0.05. Based on the result, it can be concluded that there was a significant influence of using vocabulary journal strategy towards student’s vocabulary mastery of the ninth grader of SMP N 5 Bandar Lampung in the academic year of 2021/2022.
Four-Character Captcha Recognition using Deep Learning Techniques

bstract: The Completely Automated Public Turing Test to Tell Computers and Humans Apart (CAPTCHA) is a crucial humanmachine distinguishing technique for websites to fend against automated attacks from malicious software. Studies on CAPTCHA recognition have the potential to uncover security flaws, improve CAPTCHA technology, and even advance handwriting and license plate recognition. However, the whole objective of the CAPTCHAs may be bypassed using the principles of deep learning and computer vision. Convolutional neural networks (CNN) may be used to automatically pass this exam. A CNN is a deep learning algorithm that uses an image as input before giving distinct characteristics in the picture a value that further aids in differentiating one feature from another. Its major objective is to convert the pictures into a more simple form while retaining elements that are crucial for obtaining an optimum forecast.
Cloud Computing

Abstract: The world of computer networks and information technology is evolving at an enormous rate. In which cloud computing is one of the few methods to provide users with the data, resources in a more efficient way. Cloud computing is seen as a more advanced version of computer grid inclusive of virtualization and resources sharing. Distributed computing over the internet is another new innovative technique using storage and the internet as one. "The Cloud" is an idea used to portray the virtual idea of advanced stockpiling, which can mean the information is put away on workers genuinely positioned in numerous geological areas. Cloud computing is the method for getting to a common pool of configurable assets that can be quickly given, utilized and delivered with insignificant exertion with respect to clients or specialist organizations. Cloud computing is arising at the combination of three significant patterns—administration direction, virtualization and normalization of storing through the Internet
Enhancing the stability of the deep neural network using a non-constant learning rate for data stream

The data stream is considered the backbone of many real-world applications. These applications are most effective when using modern techniques of machine learning like deep neural networks (DNNs). DNNs are very sensitive to set parameters, the most prominent one is the learning rate. Choosing an appropriate learning rate value is critical because it is able to control the overall network performance. This paper presents a new developing DNN model using a multi-layer perceptron (MLP) structure that includes network training based on the optimal learning rate. Thereupon, this model consists of three hidden layers and does not adopt the stability of the learning rate but has a non-constant value (varying over time) to obtain the optimal learning rate which is able to reduce the error in each iteration and increase the model accuracy. This is done by deriving a new parameter that is added to and subtracted from the learning rate. The proposed model is evaluated by three streaming datasets: electricity, network security layer-knowledge discovery in database (NSL-KDD), and human gait database (HuGaDB) datasets. The results proved that the proposed model achieves better results than the constant model and outperforms previous models in terms of accuracy, where it achieved 88.16%, 98.67%, and 97.63% respectively.