Reviewerly/exHarmony huggingface dataset:
Submodules

Abstract Modules may be split into separate program units called submodules, which can be in separate files. Module procedures can then be split so that the interface information remains in the module, but the bodies can be placed in the submodules. A change in a submodule cannot alter an interface, and so does not cause the recompilation of program units that use the module. A submodule has access via host association to entities in the module, and may have entities of its own in addition to providing implementations of module procedures
Interoperating with C using descriptors

Abstract These Fortran features are now available when interoperating with C: • optional dummy arguments, • assumed-length character dummy arguments, • assumed-shape arrays, • allocatable dummy arguments, and • pointer dummy arguments.. The necessary information that needs to be passed to/from the C functions is passed with a C descriptor, and there are mechanisms provided for the C functions to use such descriptors. For more convenient low-level C interoperability, assumed type dummy arguments are available. Additionally, the assumed-rank feature can also be used in interoperable procedures.
Overview of Neural Networks

Since it was confirmed and verified that the human nervous system consists of individual cells, which were later called neurons, and it was discovered that these cells connect with each other to form an extensive communication network, a large number of possibilities have been opened for application in multiple disciplines in areas of knowledge. Neural Networks are created to perform tasks such as pattern recognition, classification, regression, and many other functions that serve humans and are an essential component in the field of machine learning and artificial intelligence. In computer science, progress has been made, and computers are supposed to learn how to solve problems like that of the human brain. Through pre-established examples, the computer must be able to provide solutions to issues that are like those presented during training. This article overviews neural networks and their application in developing computer systems.
Intentionality estimation of hand movement distance by machine learning

The goal of preventing 50% of traffic accidents worldwide has been set. Japan is also implementing traffic safety initiatives. Elderly people aged 65 or older account for 57.7% of traffic fatalities in Japan. One of the reasons for this is that their reaction time is slower than that of younger people. Therefore, it is necessary to increase the reaction speed. Surface EMG, a type of biological signal, is a signal that appears before the start of a movement. In this study, we used machine learning to estimate the intention to move.
The Effectiveness of Learners Adopting YouTube and Webcomics as English Language Teaching (ELT) Materials

Fully online language teaching is still a new approach in the Indonesian context, even though blended learning and technology have been integrated into English as a Foreign Language (EFL) classrooms for some time. The instructional design, YouTube and Webcomics (YouCom) as digital task-based language teaching (DTBLT) practices in synchronous and blended learning environments. The study investigates the effectiveness of learners adopting YouCom through determinants of engagement, motivation, cognitive process, and student satisfaction. It reflects what EFL students think about the difficulties faced by English majors when learning languages online through YouTube and Webcomic applications. The online survey was distributed to English learners in a university in Indonesia with 63 respondents through purposive sampling. The hypotheses were tested using multiple regression analysis (MRA). The results reveal that the cognitive process influences learners’ effectiveness, followed by student satisfaction, engagement, and motivation. The recommendation is to increase perceptions through the cognitive process, student satisfaction, and engagement because they are firmly and significantly associated with learners’ effectiveness. The expanded sample to other areas is suggested. The contribution could benefit educators in implementing English learners’ perceptions and increase their willingness to learn using Webcomics and YouTube as the teaching materials.
English Teachers' Pedagogic Competence in Digital Literacy in Senior High School Setting

This study aimed to identify the pedagogic competence of teachers from different school context in employing digital literacy. To achieve this goal, qualitative research by involving observation and interview as the data collection technique. The result revealed that both teachers met six of the seven measures of teacher pedagogical ability. This study, afterward, used qualitative design. After conducted the research, the researchers drew conclusion that teachers’ upgrading in digital literacy is very important. Both private and state schools that have been observed, all teachers are equiped enough in digital literacy. Both English teachers employed digital literacy in all section of pedagogic competence including to master the characteristics of student, learn theory and principle, develop curriculum, carry out lesson plans, develop the potential students, communicate effectively with students, evaluates the process and learning outcomes of student.
Remote Sensing Target Detection Inspired by Scene Information and Inter-Object Relations

Remote sensing target detection has been widely used in industries. In various application scenarios, complicated contexts may inhibit target identification and reduce detection accuracy, especially in multi-target detection tasks. In this paper, a new remote sensing target detection method based on structural reasoning is proposed to improve target detection performance by integrating inter-object relationships and scene information. Based on inter-object information, a relation structure graph is designed to reduce errors and missed targets. To establish contextual constraints, semantic is used as a prior information for Bayesian criterion based on scene information. Experiments conducted on HRRSD dataset show that the average accuracy of the proposed method is 10.7 % higher than the state-of-the-art algorithms. The experimental results confirm that the proposed algorithm can achieve significant improvements and adapt to complex scenes in remote sensing by mining contextual information at both feature and semantic levels.
Cost optimisation using switching in realistic quantum network models

A paradigm for quantum network (QN) design involves using switching to share devices. This paper presents a node selection and detector placement strategy for switched QNs. Investigations show that switching is beneficial when the required key transmission rate in a graph is below a threshold.
A beam steering platform enabling handheld low-cost quantum key distribution

In this paper we present the integration of a low-cost QKD system into a low-loss, asymmetrical beam steering platform including a polarisation calibration unit. Initial results are presented demonstrating a secret key rate of 400 bit/s for the overall system.
Mixed-precision integer-arithmetic-only neural network-based equalizers for DML-based short-reach IM/DD systems

We propose mixed-precision integer-arithmetic-only NNs for low-complexity equalization in a 50-Gb/s 25-km DML-based PAM4 IM/DD link based on input neuron partitioning. The proposed scheme avoids floating-point weight operations and saves 26.3% memory at a minimum NN size compared with fixed-precision quantization counterpart without degrading BER.
Upaya Meningkatkan Minat dan Ketrampilan Menulis Vocabulary Bahasa Inggris di SMP Negeri 5 Meulaboh Aceh Barat

This study aims to improve writing skills in English by using a cooperative learning model to fill in the gaps in the text of a song. The expected indicator is that students are able to write vocabulary in English. This research method is Classroom Action Research. The object of this research is writing skills through the cooperative learning model to fill in the gaps in the text of a song while the research subjects are students of class VII/C SMP Negeri 5 Meulaboh. students still have errors in writing vocabulary. Therefore, the cooperative learning model of filling in the gaps in the text of a song can improve vocabulary writing skills in English and can also increase students' enthusiasm for learning.
Increasing Reading Interest Among Tebel Village Children Through the Micro Library at Riverbanks

Technology has become an essential thing in the life of every human being, where technology plays a role in supporting all daily activities. This condition impacts children in their infancy or who are sitting in school. The utilization of information technology is seen as not optimal because they prefer to play games and social media rather than explore new knowledge and information, which is very necessary for their educational process. The explanation of the problems above is our reason for holding a literacy program in Tebel Village with children as the primary target. The children who live around the village tend to choose to play with their gadgets rather than read books. Lack of supervision from parents and the influence of the playing environment are some of the contributing factors. The activities increase interest in reading among children through a micro-library program located on the riverbank of Tebel Village. The results of this study were quite successful because more or fewer children had read books. At least, they were a little distracted from the influence of gadgets that had become a part of children’s lives at this time.
RANCANG BANGUN PERILAKU BUATAN PADA NON-PLAYER CHARACTER DALAM GAME PEMADAM KEBAKARAN MENGGUNAKAN FINITE STATE MACHINE DAN GODOT SCRIPT

The application of artificial behavior in the object character of a game that is played using a computer device continues to grow. The implementation of the algorithm in the game makes game object characters that can move autonomously according to changes in scenario roles making the game more attractive to human players. This autonomous computer player behavior is known as a non-player character (NPC). In this research a game has been developed in the category of role-playing game (RPG) which is called the Fire Extinguisher Game. In this game there is an NPC character "fire monster" as an antagonist whose mission is to defeat the human player as the protagonist by burning all the objects in the scene role scenario. In order to make it clear and to make it easier to develop NPC player behavior designs, the Finite State Machine (FSM) method and godot script programming are used. The FSM method describes the behavior design of each NPC character in the form of states, where these will change according to the interactions that occur between players in the scene of the game environment. In its implementation, there are test parameters that are used, so that it can be shown that this game has successfully played. This game runs on a desktop and has tested using the black-box testing method to get a functional performance test. The results of this research are the design of artificial behavioral events on NPCs using the godot script code approach.
Validation and Profile of Chinese College Students’ Digital Competence Scale

Digital competence is one of the vital competences for lifelong learning. The European Digital Competence Framework for Citizens (DigComp) proposes five areas of digital competence while UNESCO Digital Literacy Global Framework (DLGF) puts forward seven areas of that. The present study seeks to build on these Frameworks by developing and validating an assessment tool that considers a total of seven areas to measure the digital competence of College students, including operation devices and software, and searching, accessing, processing, using and managing digital information, and protecting devices &amp; privacy as well. A questionnaire of 773 random participants was collected to conduct exploratory factor analysis (EFA) and confirmatory factor analysis (CFA). The results showed that the final 7-factor scale with 31 items was formed as a valid and reliable instrument for measuring the digital competence of Chinese college students. The keywords extracted from the feedbacks of open-end questions were about to outline the research direction of digital competence for future study.
Meta-analysis of Reading Abilities Factors

Reading activity is an active process that requires a continuous process of understanding, evaluation, and interpretation of a message. This process involves a combination of several skills such as linguistic skills, cognitive skills and meta-cognitive skills that help the process of understanding and evaluation can be done continuously. Reading ability, on the other hand, involves the level of competence, skill, or ability of students. This level of reading ability depends on the competency of the student to understand or respond to the reading material. Nevertheless, it is undeniable that there are many factors that influence a student’s reading ability. Therefore, this paper will perform a meta-analysis by using literature review to collect information related to students' reading ability factors. The literature review involved reading and collecting relevant materials or resources in written form such as journals and past studies by scholars from many countries. Therefore, only 44 articles from 2016-2021 with relevant and significant information related to reading ability factors were selected. The results obtained can help researchers mastering the factors of reading ability in more depth. After an in-depth analysis, there are four factors of reading ability that have been identified which is family factor, teacher factor, school factor and students’ factor.
Social Media and Online Prostitution Industries

Online prostitution continously increases along with the development of technology and information. This study aims to observe the development of prostitution globally, including the developed countries and developing countries. This research was conducted by collecting the world data news about online prostitution in the last ten years (2011-2021). Most of the motives of online prostitution are economic factors. Several online prostitution cases involved minors. Online prostitution cases in developed countries and developing countries occur on several social media platforms such WeChat, LINE, MiChat, and Facebook. In the discussion chapter, the writers provide suggestions to minimize the cases of online prostitution which one of them is making regulations to govern the use of social media.
The perception of the students about the Tutoring in virtual modality

Derived from the health contingency caused by covid-19, academic tutoring, like other teaching functions, which were traditionally carried out in person, were suddenly forced to be carried out in a virtual or online modality. Since then there have been many opinions from both teachers and students about the effectiveness of this type of care. It should be said that some voices have been in favor and others the opposite. This paper presents the results of an investigative exercise, which aimed to show, from the point of view of the tutors of the Faculty of Pedagogy of the Universidad Veracruzana (UV), Campus Poza Rica, how they perceived this process, as well as which These would be your recommendations in the event of a similar situation recurring. 120 students from different academic tutors and different semesters participated in the study, the approach was descriptive, and among the results obtained, the fact that students recommend maintaining closer communication with their respective tutors, using various technological tools such as: WhatsApp, Facebook, Instagram, Telegram, Email, the EMINUS Institutional Platform, among others
Modeling an Empathetic Embodied Conversational Agent

This work aims to propose an empathetic conversational agent endowed with a human-like memory and the ability to show some extent of empathy. Also, this model endow the virtual agent with a few other abilities, like recognizing the person it is talking to by its face and store/retrieve information based on a human memory model. Some experiments were conducted to gather both quantitative and qualitative information, which show that the proposed model works as intended.
Struktur Intelektual Penelitian Organisasi Pengetahuan dan Artificial Intelligence

Abstract The objective of this study is to identify the most contributing journal articles to the research on knowledge organization and artificial intelligence, as well as to comprehend the development of research in knowledge organization and artificial intelligence from 1977 to 2023 using bibliometric methods. The analysis employed citation analysis and co-word analysis applied to the Scopus database. The findings revealed 136 documents related to knowledge organization and artificial intelligence. Out of the 9 most influential documents, 3 studies stood out with significantly higher citation counts compared to others, surpassing 150 citations. The research identified three clusters as the focal points. The first cluster emphasized keywords such as knowledge representation, semantics, and ontology, while the second cluster centered on keywords like knowledge-based systems, expert systems, and decision making.
Tren Penelitian Sejarah Lisan dan Dokumentasi di Indonesia: Analisis Bibliometrik di SCOPUS (2013-2023)

This research discusses research trends on the topic of oral history and documentation in Indonesia. The focus of the discussion is (1) how much relevant research is related to the topic of discussion of oral history and documentation; (2) what are the research trends in oral history and documentation; and (3) what are the implications for research on similar topics in the future and the implications for research in Indonesia. This research uses a bibliometric analysis method by taking data from the SCOPUS database with search filters related to the topic of oral history and documentation for the last ten years, or 2013–2023. Then it was analyzed further using VOSviewer to see the network and density of research on similar topics. The results show that the highest number of publications related to the topic of oral history and documentation is in 2022, with 21 publications; the country with the most contribution is the United States with 46 publications; the field of social sciences is the subject with the largest contribution of 37.9%; and the most common documents were articles at 58.3%. Seeing from the network and density analysis that the topic of oral history and documentation is related to other keywords and has the opportunity to be further researched is also an interesting discussion.
Trend Penelitian terkait Digital Preservasi Naskah Kuno

Bibliometric analysis is a quantitative method for analyzing data in existing databases at journal publishers. This method is used to find out how much a particular topic has been researched and discussed by researchers in the field concerned. This method is to find out current research trends and what types of research are still lacking and need to be explored more deeply for future needs regarding digital preservation of ancient library manuscripts. The data presented comes from existing analysis drawn from the SCOPUS Journal database and then the data is also processed through the VOSviewer application. In the research trends regarding digital preservation that exist in this modern era, it is considered important to know the trends and directions of research related to this issue, especially as we currently live in a fast-paced modern world. This is also because we are in the digital era and digital preservation has become an important topic to discuss in recent years. Various kinds of challenges and opportunities are very interesting to discuss regarding the research topic of digital preservation of manuscripts in libraries.
Bakti Sosial Peduli Pendidikan Sebagai Bentuk Pengabdian Kepada Masyarakat di Desa Ciwarna Mancak Kabupaten Serang

The community service programs implemented cover various aspects of community life, such as education, environment, economics and social. Building the capacity and empowerment of the Ciwarna Village community is also the main focus, by providing assistance and providing relevant assistance. In conclusion, SENABUNG's synergy in social activities with Bina Bangsa University KKM students in Ciwarna village has an important role in improving the quality of life of the local community. This collaboration reflects the spirit of cooperation and commitment of universities and students to actively contribute to solving social problems and improving community welfare
Implementasi Aplikasi Administrasi SPP Online Berbasis Web pada Sekolah Menengah Kejuruan

SMK 2 PGRI Kota Jambi is one of the vocational high schools in Kota Jambi that still uses a manual payment system for SPP (Education Development Contribution) without utilizing computerized information systems. Additionally, the school has not yet utilized online SPP payment through a website, despite having computers connected to the internet in the computer lab. The existing school network has not been optimally utilized, as there is no dedicated school website for online SPP payment processing, and information retrieval regarding SPP payments is still done manually, causing difficulties for the administrative staff (Tata Usaha) in finding data. Therefore, this research aims to help resolve the issues by developing a website-based application. The application will be developed using HTML, PHP, and MySQL database programming languages. The Waterfall development method will be employed, and the system modeling tools used include use case diagrams, activity diagrams, class diagrams, and interfaces. The outcome of this research will be a website-based application that can assist in resolving the problems faced by SMK PGRI 2 Kota Jambi in managing their Administrative System