Reviewerly/exHarmony huggingface dataset:
Agile Project Management Approaches: A Case Study with Respect to Their Application in Finance Technology Projects

The strategy of Financial Services in Libyan pioneer companies has begun to achieve a transformation from providing ordinary services to electronic services through financial services technologies, which necessitates the qualification of employees in Libyan software companies. To facilitate this, recent agile software agile project management strategies and their possible advantages, disadvantages, and possible limitations will be discussed. In the context of improving software development for changing work conditions or requirements, he current state of agile project management (APM) will be studied and enhancement with best APM practices will be implemented within Masarat IT &amp; Financial Services, a pioneer Libyan company. Our findings demonstrate that the application of agile project management best practices has a positive impact on project success. The benefits of agility were immediately apparent, and the advantages of adopting APM methodologies were a crucial factor in successfully completing the project.
Comparison of Two Face Recognition Machine Learning Models

Machine learning (ML) is one of the fastest-developing topics today, straddling the boundary between statistics and computer science, as well as data science. It is a type of artificial intelligence that allows software applications to become more accurate at predicting outcomes without being explicitly programmed. And It addresses the difficulty of the way to assemble gadgets that enhance themselves via experience, and make conclusions with minimum human assistance. For this purpose, there arises a need to use various statistical methods of face recognition’ models, such as (DeepFace) and (OpenFace). DeepFace is the most lightweight face recognition and facial attribute analysis library for Python, and is currently on the verge of human-level precision. OpenFace on the other hand is an open source deep learning facial recognition model based on Google's Facenet model. In this paper, we will discuss the face recognition comparison between two models DeepFace and OpenFace on the calibrators of (Accuracy, Error Rate and Verification Time). DeepFace showed a higher accuracy rate by (3%) than that of OpenFace, and a lower error rate by (3%). Whereas OpenFace delivered with a minimum time shorter than that of DeepFace by (0.061323) second.
Temporal residual network based multi-head attention model for Arabic handwriting recognition

In this study, we developed a new system for online Arabic handwriting recognition based on temporal residual networks with multi-head attention model. The main idea behind the application of attention mechanism was to focus on the most relevant parts of the data by a weighted combination of all input sequences. Moreover, we applied beta elliptic approach to represent both kinematic and geometric aspects of the handwriting motion. This approach consists of representing the neuromuscular impulses involving during the writing act. In the dynamic profile, the curvilinear velocity can be fitted by an algebraic sum of overlapped beta functions, while the original trajectory can be rebuilt by elliptic arcs delimited between successive extremum velocity instants. The experiments were conducted on LMCA database containing the trajectory coordinates of 23141 Arabic handwriting letters, and showed very promising results that achieved the recognition rate of 97,12%
Pengaruh Media Pembelajaran Historical Dominoes (HD) untuk Meningkatkan Hasil Belajar Sejarah Siswa

This study aims to determine the increasement in student history learning outcomes before the application of historical domino media and after the application of historical domino media at SMA Negeri 12 Banda Aceh. This study used a quantitative approach and the type of experimental research. The population in this study was all students. Based on the results of data processing using the IBM SPSS Statistics 20 application with the formula of Shapiro Wilk, it was obtained that the significance value Sig.(2-tailed) of the pretest was worth 0,00 and the significance value Sig.(2-tailed) of the posttest was 0,021, where both values is under the value of (α) = 0.05. Thus, H_0 is rejected and H_1 is accepted, so that, the distribution of the pretest and post-test data is not normally distributed so the average difference test will be carried out using the Wilcoxon formula. The value of Sig.(2-tailed) in the Wilcoxon test is 0.01 which is greater than the value (α) = 0.05.
IMPLEMENTASI STRATEGI INFORMATION SEARCH PADA MAHASISWA PRODI PAI MELALUI PEMANFAATAN LITERASI DIGITAL DI MASA PANDEMI COVID-19

For more than a year, the COVID-19 pandemic has become one of the outbreaks of infectious diseases in the world, including in Indonesia. The Indonesian government will continue to limit community activities if the number of positive COVID-19 patients increases. Of course this can affect growth and development in various lives. One of them is the field of education which will also cause problems for students, not PAI study program students. This study aims to determine the form of implementation of the information search strategy for PAI study study students through the use of digital literacy during the COVID-19 pandemic. The method used by the author in this research is descriptive qualitative with a library research approach. From this research, we get a result that finding strategic information is needed to be applied during the COVID-19 pandemic in the distance learning system. Especially for PAI study program students who are easy to have insight or broad information about Islamic material even though they have to study independently. Therefore, to support the ongoing information search strategy, it must also be accompanied by the use of digital literacy during the COVID-19 pandemic. This is where the connection between the implementation of the information search strategy for PAI study study students and the use of digital literacy during the pandemic
Distance learning in the wake of COVID-19 in Morocco

<h2>Abstract</h2> The integration of information and communication technologies (ICT) has been one of the priorities of the Moroccan education system that date back to pre-COVID-19 period. Since 1999, the National Charter for Education and Training has accorded great importance to distance education (DE) and learning. Several programmes and initiatives (such as GENIE, NAFIDA, Telmidtice, Lycée Attahadi, …) were launched and funded by the government to promote the use of ICT in schools. With the outbreak of COVID-19, the shift to distance education was mandated to ensure pedagogical continuity. In the current study, a mixed-method research approach was used to assess the extent to which the adoption of distance learning in public educational institutions can ensure pedagogical continuity in Morocco during the outbreak period started from April to June 2020. The Analysis of the data collected from the quantitative study showed that the COVID-19 pandemic, DE was used occasionally due to the lack of technological equipment or knowledge and expertise to use it. During the COVID-19 crisis, <sup>1</sup>teachers resorted to self-training and used available social media tools to support learners by sharing various resources with them. In addition, the data collected from the participatory observation of two virtual classes on the «Zoom» and «Teams » platforms showed that the use of videoconferencing in Morocco contributed, even partially, to solving the problem of pedagogical continuity. The experience of lessons broadcast in synchronous mode showed promising results at the technical level in terms of student participation and interactivity, resource sharing and transfer and a favorable classroom climate. However, there is still a lot of work to be done at the pedagogical and didactic level to better exploit the potential of this technology. On the other hand, the Ministry of Education is expected to make a huge effort to guarantee equal access to technology and the internet in order to ensure equitable education, especially in rural areas.
Fine-grained Hand-posture Recognition for Natural User-interface Technologies

NTT Service Evolution Laboratories is conducting research on user-interface technologies to improve system usability.As part of this research, we are focusing on new input methods that will be an important element of next-generation information devices, and in particular, we are researching hand-posture recognition technology to be used to implement input for glasses-based devices.This article describes initiatives related to this research.
STUDI EKSPLORATIF DAMPAK COVID-19 TERHADAP KEGIATAN PEMBELAJARAN ONLINE MAHASISWA JURUSAN AKUNTANSI POLITEKNIK NEGERI AMBON

The Covid-19 virus began to emerge at the end of 2019 in China and continued to endemic until the end of January 2020.In Indonesia, this virus has been infected, precisely in March until now, and has greatly impacted various areas of life.In the field of education, there is an online learning policy (online) from elementary school to university levels, this step is to stop the spread of COVID-19 in Indonesia.This research uses qualitative research with an exploratory study method.The informants consisted of 2 students and 2 lecturers who carried out online learning activities.Data collection using interviews.The results obtained were, the implementation of learning activities in the Accounting Department of the Ambon State Polytechnic when Covid-19 was felt to be less effective and efficient, several applications and online websites used by lecturers to conduct lectures were Web Classroom, Zoom Meeting, video conference, telephone or live chat.and Whatsapp Messenger, but some lecturers only use zoom and Whatsapp Messenger, the implementation of online learning activities using applications is still being carried out during this covid 19 pandemic.The results of online learning activities are still not optimal.
Verbal and Non-verbal Signs of “AQUA Life: Care for Nature, Nature Cares for You”

This study aims to analyze the verbal and non-verbal signs as well as the meaning contained in the “AQUA Life: Care for Nature, Nature Cares for You” Advertisement. This study used a qualitative method. An observation method was used to collect the data. The data were taken from the YouTube platform. In analysing the verbal and non-verbal signs based on the Saussure’s semiotic theory while in analyzing the meaning of the verbal and non-verbal signs based on the Barthes’s theory. In addition, the study of colors was done using the approach of color term submitted by Cerrato. As the result, the researchers found three verbal signs and three non-verbal signs in this advertisement. The advertiser highlighted the advertised product in this advertisement, attempting to persuade the viewers that using 100% recycled products is one of the essential things to protect this planet. Furthermore, this advertisement also emphasized the importance of consuming mineral water for body health. From the analysis, it can be concluded that the “AQUA Life: Care for Nature, Nature Cares for You” advertisement employed meaningful sentences to gain the attention of their target consumers.
USER RESPONSES ABOUT AUTOMATED SYSTEM FOR CIRCULATION SERVICES AT UTHMAN BIN AFFAN LIBRARY, MUSLIM UNIVERSITY OF INDONESIA

The purpose of this study is to describe how the response of users about automation in the Uthman bin Affan library at the Indonesian Muslim University. This type of research is using qualitative research or field research. The research location is in the Uthman bin Affan library at the Indonesian Muslim University. There are two sources of data in this study, namely secondary data sources and primary data sources. The methods in collecting research data are Observation, Interview and Documentation using Data Processing and Analysis Techniques Data Reduction, Data Presentation and Conclusion Drawing. The results of this study are the responses of the users about the automation system in the Uthman Bin Affan Library, Muslim University of Indonesia are: a. the ease of finding library materials in the circulation service at the Uthman Bin Affan Library of the Muslim University of Indonesia is very easy and fast. b. The process of borrowing library materials, returning library materials, making membership cards, paying fines and visitor statistics is very easy and satisfying, but the automation system implemented at the Uthman Bin Affan library at the Muslim University of Indonesia has not been able to extend the borrowing of library materials or collections online. and the infrastructure is still lacking such as a computer or laptop. c. transactions for borrowing library materials do not use self-service machines. d. there are still many users who have not mastered the OPAC search service (online public access catalog) this is due to the lack of socialization to users, especially new users. The implications of the research are expected for librarians at the Uthman Bin Affan Library, Muslim University of Indonesia to maintain their services by using the slims automation system, the excellent service carried out by librarians in the circulation section has a positive impact on users, including the process of returning library materials, borrowing library materials, making membership cards library, fines, visitor statistics, friendliness of librarians, greeting librarians in providing information, speed in serving users, and the neat arrangement of library materials on the collection shelf are very satisfying in the hearts of users. towards officers in circulation services in order to improve the quality of their services and the Uthman Bin Affan Library of the Muslim University of Indonesia should recruit members for additional librarian officers in circulation services so that the service process in the circulation section is further improved.
Language Use in WhatsApp Group

This article is intended to investigate the insertion in WhatsApp group.It is an interesting phenomenon to be studied as people who do interaction via WAG increase everyday.Furthermore, this study focuses on three points of investigation namely, types of insertion, function of insertion and reason of insertion.This study is designed as qualitative study and the researcher plays role as a participant observer.The data were collected by doing observation with the Cendana's WAG conversation as the source of data.The result of study confirms that (1) word, phrase, clause and idiom insertion appear in WAG, (2) six functions of code mixing are presented in the conversation, namely quotation, repetition, interjection, message qualification, personalization and facility of expression and (3) reasons of doing code mixing are talking about a particular topic, being emphatic about something or express solidarity, interjection, quoting someone else, repetition used for clarification, intention of clarifying the speech content for interlocutor, expressing group identity and because of real lexical need.
DBSpark: A System for Natural Language to SPARQL Translation

Knowledge bases offer clear advantages when compared to traditional databases, mainly due to semantic connections and automated reasoning over large datasets. However, limited knowledge of the specialized knowledge base query language (SPARQL) makes it difficult for most users to freely access these resources. To solve this issue, we propose a question-answering system able to translate natural language questions into SPARQL queries. The presented method is a rule-based approach that integrates information regarding dependency and constituency parsing, WordNet and named entity recognition to capture the structural and semantic representation of the question. The proposed solution is able to handle a wide variety of question types (list, count, yes/no, wh-questions, questions involving rankings, ordinals, and/or superlatives). Moreover, all involved steps except the phrase mapping phase (in which properties and entities from the ontological model are mapped to words from the natural language question) are knowledge base independent. Tests performed over the QALD-9 question-answering dataset using the DBpedia knowledge base have shown that our system obtains state-of-the-art results and a very good time-performance balance.
Do Large Language Models Show Decision Heuristics Similar to Humans? A Case Study Using GPT-3.5

A Large Language Model (LLM) is an artificial intelligence system that has been trained on vast amounts of natural language data, enabling it to generate human-like responses to written or spoken language input. GPT-3.5 is an example of an LLM that supports a conversational agent called ChatGPT. In this work, we used a series of novel prompts to determine whether ChatGPT shows heuristics, biases, and other decision effects. We also tested the same prompts on human participants. Across four studies, we found that ChatGPT was influenced by random anchors in making estimates (Anchoring Heuristic, Study 1); it judged the likelihood of two events occurring together to be higher than the likelihood of either event occurring alone, and it was erroneously influenced by salient anecdotal information (Representativeness and Availability Heuristic, Study 2); it found an item to be more efficacious when its features were presented positively rather than negatively – even though both presentations contained identical information (Framing Effect, Study 3); and it valued an owned item more than a newly found item even though the two items were identical (Endowment Effect, Study 4). In each study, human participants showed similar effects. Heuristics and related decision effects in humans are thought to be driven by cognitive and affective processes such as loss aversion and effort reduction. The fact that an LLM – which lacks these processes – also shows such effects invites consideration of the possibility that language may play a role in generating these effects in humans.
Heterogeneous Signal Identification

In this chapter, we will present the motivation of signal identification for cross-technology coexistence, then elaborate our system design which contains two methods for signal identification. We will finally give performance evaluation for the two methods based on signals collected from hardware testbed.
FS-Studio: An extensive and efficient feature selection experimentation tool for Weka Explorer

A new tool with a friendly graphical user interface specifically designed to perform feature selection experiments in Weka Explorer allowing parallel computation is proposed in this work. The proposed tool performs Bayesian statistical tests among the selected feature selection techniques to check whether the differences are statistically significant or not. Moreover, the recently published general-purpose metaheuristic named Coronavirus Optimization Algorithm is also adapted for feature selection and integrated in the proposed tool to search for attribute subsets, allowing its use along with any Weka attribute subset evaluation algorithm. After the feature selection process is performed, both classification and regression techniques can be applied to the dataset built with the most relevant features. Finally, the output of the whole process is sent to an exportable table, customizable by means of a bar plot, in order to gather both predicted and actual values as well as the evaluation metrics.
Deflection measurement of bridges using drone aerial photography based on moire phase analysis methodology

Social infrastructures are rapidly aging, and there are concerns about the increasing cost and effort required for maintenance and management. Deflection measurement is critical in evaluating the integrity of bridges as transportation infrastructure. The sampling moiré method was developed to accurately measure the displacement of structures by capturing the regular patterns (i.e., moiré markers) attached to the structures with a digital camera. The conventional approach rigidly attaches a camera to a tripod or a fixed point. However, finding a place to photograph bridges over the sea or mountains can be challenging in real scenarios. In recent years, camera-equipped drones have rapidly become an inspection technology for bridges and other transportation infrastructure. Here, we believe drone cameras open a new door for unconstrained bridge vision inspection using the moiré phase analysis method. Therefore, we are striving to develop a novel displacement measurement method that can measure the deflection of bridges by drone aerial photography. We measured the vertical displacement of a target with a 50-mm-pitch grid pattern in the laboratory to verify its effectiveness. The newly developed measurement technology alleviates the restriction that the camera must be fixed and enables the measurement of the deflection of a more significant number of bridges under various real situations.
A Bibliometric Analysis and Science Mapping of Recommendation Systems Research from 1987 to 2022

This paper presents a bibliometric analysis and science mapping study of recommendation systems (RS) using VOSviewer and Bibliometrix-R package tools. The study analysed 9,232 Scopus-indexed papers from 1987 to 2022 to uncover publishing trends and evaluate the performance of researchers, journals, articles, institutions and countries in this domain. The study found that the United States, Spain and the United Kingdom produced high-quality research with high citation-to-publication ratios. China had the most publication and the highest level of international collaboration. African countries such as Nigeria, Tunisia, Algeria, Egypt and others lag in publications, institutions, citations, and collaborations with developed countries. Joseph Konstan, John Riedl, Bamshad Mobasher, Robin Burke, Francesco Ricci, and Yehuda Koren were identified as leading researchers in the field. Recommendation systems are crucial for social media, e-commerce, and e-learning and high-performing algorithms are needed to help people find relevant, personalized information. The results of this study could help researchers and scholars find potential collaborators, and understand current trends and future directions in recommender system-related journals more quickly.