Reviewerly/exHarmony huggingface dataset:
A Synonym-Compendium for Personality Descriptors: Word-Net Synsets for 1,710 Personality Adjectives

We systematically related 1,710 adjectives, those used in classic studies associated with Lewis R. Goldberg, to synsets associated with the Princeton University Wordnet project. in WordNet, 373 of the terms belonged to no cluster (synset), and 498 of the terms belonged to multiple clusters. Only 1330 of the 1710 terms were classified in WordNet, and just 839 of 1710 belonged to just one cluster (synset). So WordNet classified only 49% of the terms unambiguously into the desirable single synonym-cluster. In percentage terms, about 22% of the 1710 terms were not in WordNet at all, and of those that were found in WordNet about 37% were in multiple synset clusters. This gives clear indications that personality-attribute terms do not fit neatly into a "one and only one cluster for each term", but rather that the natural polysemy of these terms will complicate attempts to unambiguously cluster them by content semantically.
The Impact of Optimization Algorithms on The Performance of Face Recognition Neural Networks

Face recognition has aroused great interest in a range of industries due to its practical applications nowadays. It is a biometric method that is used to identify and certify people with unique biological traits in a reliable and timely manner. Although iris and fingerprint recognition technologies are more accurate, face recognition technology is the most common and frequently utilized since it is simple to deploy and execute and does not require any physical input from the user. This study compares Neural Networks using (SGD, Adam, or L-BFGS-B) optimizers, with diﬀerent activation functions (Sigmoid, Tanh, or ReLU), and deep learning feature extraction methodologies including Squeeze Net, VGG19, or Inception model. The inception model outperforms the Squeeze Net and VGG19 in terms of accuracy. Based on the findings of the inception model, we achieved 93.6% of accuracy in a neural network with four layers and forty neurons by utilizing the SGD optimizer with the ReLU activation function. We also noticed that using the ReLU activation function with any of the three optimizers achieved the best results based on findings of the inception model, as it achieved 93.6%, 89.1%, and 94% of accuracy for each of the optimization algorithms SGD, Adam, and BFGS, respectively.This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium provided the original work is properly cited.
Sistem Informasi Buku Pelaut Dalam Pelayanan Publik di Bidang Kepelautan

The seaman's book information system is a device for storing, operating, or processing data or documents of a seaman to become a seaman's book which contains all the track records of the owner of the seafarer while sailing and is authorized by authorized government officials and functions as an official state document in it. There is a seafarer's physical identity. This study aims to describe the services and obstacles to making seafarers' books available online at the Lhokseumawe Class IV Port Authority and Harbormaster Office, Indonesia. This study employs a descriptive qualitative research method and techniques to obtain data through observation, interviews, and documentation. This study used six informants who were determined purposively, consisting of the Head of Class IV Lhokseumawe were Port Authority and Harbormaster Office and their staff and some of the applicants for the seaman's book. The results showed that the Seaman's Book Information System in Public Services in the Maritime Sector at the Class IV Lhokseumawe Port Authority and Harbormaster Office was adequate or effective. So far, in managing documents for making seafarers' books online, the service is faster and easier to access again in case there is a loss of seafarers' books compared to before the existence of an online seaman's book information system. Obstacles in the Seaman's Book Information System in factory services in the management sector at the Lhokseumawe Class IV Port Authority and Harbormaster Office include internet connection and a lack of real socialization.
Closing Editorial Note

We are grateful to our contributor authors for choosing Superficies y Vacío to disseminate their research results, as well as the selfless contribution of the peers who accepted to review the received manuscripts, helping to keep a high-quality standard for the articles that we publish. We hope for both communities to grow further in the times to come. We are pleased to highlight the integration of some updates to our publishing process: registration of Digital Object Identifier (DOI), through CrossRef, along with automatic registration to the authors’ Open Researcher and Contributor ID (ORCID), within an Open Journal Systems (OJS) editorial platform; and to the print format of the published articles, keeping our usual author grouping by institution, and adding the standard ordered authorship list below the title. We also transitioned our review process from single- to double-blind. And have been fulfilling a self-imposed ‘1.5 weeks’ deadline for a first answer with recommendations from a member of the editorial board, which is successfully reducing the time span of our peer review process.
Book Review: Kuzminov, Y., and Yudkevich, M. (2022). Higher Education in Russia. United States: Johns Hopkins University Press.

Well aware of the challenges presented by a thorough analysis of the higher education in Russia, Yaroslav Kuzminov and Maria Yudkevich make it very clear in the Preface of the book that their key idea was that “higher education is intrinsically intertwined with everything that happens in society, and thus with various social, economic, and political aspects of society’s functioning.” To this they add when they also point out that, in its turn, the higher education system shapes the intellectual elite by investing in new human capital, by spreading a system of values, and consequently enhancing the capabilities of individuals. As outlined in the same context, the authors focus on the performance of the higher education system with its quantitative, qualitative, and structural components, to which they add a clear explanation of the very design and features of these institutions as they continue to develop and change. The book is organized in 9 chapters, is introduced by a Foreword written by Philip G. Altbach, includes copious notes and references to help the reader fully understand the complexity of issues discussed throughout the volume, in an impeccable translation by Victor Sonkin, with a final revision done by Lisa Unangst.
PEMANFAATAN PIECES FRAMEWORK UNTUK ANALISA SISTEM INFORMASI RESERVASI DESTINASI WISATA DI KOTA PEKALONGAN

The Tourist Destination Reservation Information System in Pekalongan City is an application that functioned as a medium for booking online travel tickets, managing tourist destination income, displaying tourist locations, tourist details and the amount of visitors to tourist destinations. To find out whether an information system is running as expected, an evaluation process of the performance of the information system is needed. In conducting the analysis and evaluation of the information systems, there are several methods or analytical models that can be used, one of them is the PIECES Framework analysis model. The variabels used in the Pieces Framework are performance, information, economics, control, efficiency and service. The purpose of this research is to measure the level of satisfaction, identify weaknesses and strengths as well as analyze the components needed to improve the service quality of the Tourist Destination Reservation Information System in Pekalongan City. Based on the results of calculations and analyzes that have been carried out using the Pieces Framework, the results show that the performance variabels are in the satisfied category, while for the information, economics, control, efficiency and service variabels are in the very satisfied category. By these results it can be concluded that the Tourist Destination Reservation Information System in Pekalongan City is well accepted by users and has been running properly.
Examining the Visual Impact of Object Typeface on Event Participation

We argued that elaborate and inharmonious design evokes greater interest in a brand, although Gestalt psychology scholars thought that harmonious and straightforward designs are more liked. The study used object typeface patterns to show cross-modal correspondence between typeface physical appearance and participant’s emotions on event participation in three experiments of between-subject designs. Participants ( N =480) in three emotional valences in two levels, 160 (80 pleasure and 80 displeasure), 160 (80 arousal and 80 unaroused), and 160 (80 dominance and 80 submissive) to examine the visual impact of object typeface on event participation. The findings from the three experiments revealed a significant effect of object typeface on event participation. Additionally, we observed a positive and significant effect of the three emotional valences (pleasure, arousal, and dominance) on event participation, demonstrating a cross-modal interaction and substantial bias effect of heuristic on systematic processing. At the same time, motivation mediated the relationship between object typeface and event participation. The theoretical and managerial implications are discussed. DOI : https://doi.org/10.54663/2182-9306.2022.v10.n19.90-117
Many Known Quantum Algorithms Are Optimal: Symmetry-Based Proofs

Many quantum algorithms have been proposed which are drastically more efficient that the best of the non-quantum algorithms for solving the same problems. A natural question is: are these quantum algorithms already optimal – in some reasonable sense – or they can be further improved? In this paper, we review recent results showing that many known quantum algorithms are actually optimal. Several of these results are based on appropriate invariances (symmetries). Specifically, we show that the following algorithms are optimal: Grover’s algorithm for fast search in an unsorted array, teleportation algorithm – which is important for parallel quantum computations, and quantum annealing optimization algorithm. This covers many algorithms related to quantum computing. We also mention that algorithms for quantum communication and Deutsch-Josza algorithm – for fast checking whether a bit affect computation results – are optimal. In all these cases, optimality is shown not just for one specific optimality criterion, but for all possible optimality criteria that satisfy the natural invariance requirement.
DMUAS-IoT: A Decentralised Multi-Factor User Authentication Scheme for IoT Systems

The Internet of Things (IoT) has become the fundamental infrastructure of many intelligent applications, such as smart homes. IoT applications store distributes various information, including user authentication information, over a public channel that exposes it to security threats and attacks. Therefore, this study intends to protect authentication data communication through a decentralised multi-factor user authentication scheme for secure IoT applications (DMUAS-IoT). The scheme is secure and enables efficient user registration, login and authentication, and the user profile updating process where legitimate users can access the IoT system resources. DMUAS-IoT adopted PRESENT for face image encryption and elliptic curve cryptography for data exchange. The scheme security was verified using ProVerif and AVISPA, and mutual authentication was checked with BAN-Logic. The results show that the scheme is secure against man-in-the-middle and impersonation attacks, provides mutual authentication and has a low computation cost. Hence, the outcomes of this study could help secure user authentication data from attacks on applications involved with IoT and resource constraint environments.
Use of Artificial Intelligence in the Real World

Artificial Intelligence is a significant innovation that is an important part of our day-to-day lives as well as our industry. Today, artificial intelligence is a rapidly advancing innovation in our daily lives. From the Innovation Industry to ordinary people, it will change the way of life. A human's state is updated by the AI at every point in their lives. As an example, a school today uses AI programming to enable participation based on face recognition. In the future, driverless cars will be the best. Vehicles are completely constrained by the AI programming that detects signs and street points. In most ICT models, enormous amounts of information are incorporated, self-thought capability is not addressed, and there is a lot of confusion. There is an explosion of creative innovations, such as corporate collaboration and profound learning. As AI frameworks learn to adapt to individuals' character and goals, individuals' future relationships with machines will always become contact, liquid, and customized. As a result of these AI applications, individuals will be able to monitor their wellbeing, be alerted to risks in advance, and receive administrations when they need them. While AI continues to bring significant benefits in every field, it also raises significant moral and social issues, such as security issues. A number of occupations have already been dislodged due to robotics and other artificial intelligence advancements. In this paper, we focus on the more extensive and smaller scope of man-made consciousness, its shrewd gadgets, and future advancements. Additionally, this paper shed a few light on how man-made brainpower is used in the day-to-day world.
Pengembangan model pembelajaran Discovery Learning pada madrasah melalui media aplikasi Kahoot terintegrasi Google Classroom (Studi di MI NU Islahussalafiyah Gebog Kudus)

This study aims to: (1) Know the results of the identification of needs analysis for the development of the Discovery Learning learning model through the Kahoot application media integrated with Google Classroom in class 5 on Humans and the Environment at MI NU Islahussalafiyah Gebog Kudus, (2) Know the stages in the development of the Discovery Learning learning model through Google Classroom integrated Kahoot application media in class 5 Human and Environment material on student learning outcomes at MI NU Islahussalafiyah Gebog Kudus, (3) Knowing the effectiveness in developing Discovery Learning learning models through Google Classroom integrated Kahoot application media in class 5 Human and Environment material on student learning outcomes at MI NU Islahussalafiyah Gebog Kudus. The type of research in this thesis is a research and development approach. In this study modified into 3 main stages, namely; (1) Preliminary stage (research); (2) The design and validation stages; (3) Limited scale trial phase (dissemination) to produce the final model as final product and publication. Testing the data using the t-test. The results of the research in this study show that: (1) it has fulfilled the needs analysis for the development of discovery learning learning models through integrated google classroom kahoot application media in class 5 human and environmental materials to improve student learning outcomes at MI NU Islahussalafiyah Gebog Kudus; (2) The form of developing a discovery learning learning model through integrated google classroom kahoot application media in class 5 Human and Environment material to improve student learning outcomes at MI NU Islahussalafiyah Gebog Kudus obtained an average total assessment result in the feasibility test on a limited scale against learning media this is 93.6% so that it is included in the category suitable for use; (3) The development of discovery learning learning models through integrated google classrom khoot application media on human and environmental material has an effective and significant effect on student learning outcomes
Pengaruh e-learning terhadap motivasi dan hasil belajar siswa MI NU Miftahul Huda 01 Sudimoro Karangmalang Gebog Kudus

This study aims as follows: 1) To determine the effect of e-learning on student motivation at MI NU Miftahul Huda 01 Sudimoro Karangmalang Gebog Kudus; 2) To find out the effect of e-learning on student learning outcomes of MI NU Miftahul Huda 01 Sudimoro Karangmalang Gebog Kudus; 3) To find out the effect of e-learning on the motivation and learning outcomes of MI NU Miftahul Huda 01 Sudimoro Karangmalang students, Gebog Kudus. This study is a quantitative study using correlational analysis, to find out whether there is an effect of e-learning on student motivation and learning outcomes at MI NU Miftahul Huda 01 Sudimoro Karangmalang Gebog Kudus in 2021, using t-test analysis. The results of the research are 1) E-learning has a positive and significant effect on student motivation at MI NU Miftahul Huda 01 Sudimoro Karangmalang Gebog Kudus. This is evidenced by the Wilcoxon test, the results of e-learning t-count are 48.347, and t-table is 1.706, while p=0.00 &lt; 0.05, then Ha is accepted and Ho is rejected. While the results of tcount motivation are 67,457, and ttable are 1,706, while p=0.00 &lt; 0.05, then Ha is accepted and Ho is rejected; 2) E-learning has a positive and significant effect on student learning outcomes of MI NU Miftahul Huda 01 Sudimoro Karangmalang Gebog Kudus. This is evidenced by the Wilcoxon test, the results of e-learning t-count are 48.347, and t-table is 1.706, while p=0.00 &lt; 0.05, then Ha is accepted and Ho is rejected. While the results of tcount learning outcomes are 31,457, and ttable is 1,706, while p=0.00 &lt; 0.05, then Ha is accepted and Ho is rejected; 3) E-learning has a positive and significant effect on the motivation and learning outcomes of MI NU Miftahul Huda 01 Sudimoro Karangmalang students, Gebog Kudus. This is evidenced by the Wilcoxon test, the results of e-learning t-count are 48.347, and t-table is 1.706, while p=0.00 &lt; 0.05, then Ha is accepted and Ho is rejected. Meanwhile, the results of tcount motivation are 67,457, and ttable are 1,706, while p=0.00 &lt; 0.05, then Ha is accepted and Ho is rejected. While the results of tcount learning outcomes are 31,457, and ttable is 1,706, while p=0.00 &lt; 0.05, then Ha is accepted and Ho is rejected
Pengembangan media pembelajaran bermuatan nilai pendidikan Islam melalui Running Text berbasis media Proshow di MI Rejosari Pringsurat

The type of research used in this research is Research and Development (R&amp;D). Research and development or Research and Development (R&amp;D) is a strategy or research method that is powerful enough to improve practice. The population in this study were all class III students at MI Rejosari, Temanggung Regency, totaling 13 MI, however, the researcher only took samples from class III students at MI Rejosari, totaling 20 students. Development of learning media with proshow by running text on learning and understanding of Islamic education media based on proshow media by (a) Conducting preliminary research, (b) Conducting planning (defining abilities, formulating goals, determining materials and learning sequences, (c) Developing media learning by proshow, (d) Material expert test and media expert test, (e) Small-scale initial field test and revision, (f) Large-scale test and final revision, (g) Application in learning Based on the above significance value tcount = 5.709 with Sig. (2-tailed) 0.000. Before looking at the table of t values, it must first be with db = N - 2. Because the number of samples studied was 40 students, then db = 40 - 2 = 38. db value = 38 at a significance level of 5% obtained t-table = 1.345. Because tcount &gt; ttable or 5.709 &gt; 1.345 and Sig.(2-tailed) = 0.000 &lt;0.05 then H0 is rejected and H1 is accepted. So it can be concluded "there is an effect of using media pe Learning contains the values of Islamic education based on pro-show media on learning outcomes at MI Rejosari Pringsurat Temanggung
Peningkatan Hasil Belajar Matematika dengan Pendekatan Kontekstual pada Materi Pecahan di Kelas 3 MI Nurul Huda

In this classroom action research carried out to solve problems that occur in the learning process, it is known that the results of learning mathematics in fraction material in grade 3 are not optimal. The purpose of this study was to determine student activity in improving learning outcomes. The research subjects this time were 15 grade 3 MI Nurul Huda students, 7 male students and 8 female students. In this study, it consisted of 2 cycles, namely cycle I and cycle II. The data collection methods used in this study were: observation, interviews, tests and documentation. The results of the research on the activeness of teachers and students have increased, the activeness of teachers in cycle I was 69.23% to 86.83% in cycle II. While the results of student activity also increased in cycle I 65.38% to 88.46% in cycle II. Likewise, student learning outcomes also experienced an increase starting from the pre-cycle with an average acquisition of 65.27% and a completeness percentage of 26.67%, and experienced an increase in the first cycle with an average score of 71.26% and a completeness percentage of 60%. . And in the second cycle research obtained an average of 80.26% and 86.67% completeness percentage. In this way, it can be concluded that using a contextual approach can increase student activity and learning outcomes in learning mathematics in fractional material in class 3 students of MI Nurul Huda.
Development of a teaching competency diagnostic tool for army military school instructors

The purpose of this study was to develop a teaching competency diagnosis tool for instructors working in army military schools to improve the quality of education and cultivate the competitiveness of the organization. To this end, previous research data related to the development of teaching competency diagnosis tools were collected and analyzed. Subsequently, focus group interviews and behavioral case interviews with excellent instructors at the Army Military School were conducted, and Delphi surveys were conducted with educational experts to organize teaching competency components and diagnostic tools temporarily. Next, to verify the validity of questionnaire items, a preliminary survey and a main survey were conducted with questionnaires administered to excellent instructors and ordinary instructors to confirm the validity and reliability of the teaching competency diagnosis tool. As a result of the study, four competencies (basic, class, organizational, and digital), 10 major competencies (attitude and attitude as educators, relationship formation, etc.), 25 sub-competencies (responsibility as instructors, initiative, etc.), and 65 behavioral indicators were selected. The diagnostic tools derived through this study are the competencies that instructors must have to perform their duties successfully in military schools. Therefore, our results not only provide information necessary for establishing instructor competency development policies but also contribute greatly to developing programs to strengthen teaching competency in military schools.