Reviewerly/exHarmony huggingface dataset:
Fundamental elements and characteristics for telling stories using data

One of the biggest challenges today is how to present data to users in a clear and easy way in different domains of application. One way to do this is to tell stories with data, as this makes it possible to improve user engagement and understanding of a given context. By using narrative elements, it is possible to provide readers with better explanations of what is being presented. To understand the research scenario about this topic, a systematic review of the literature was performed, through a snowballing procedure. As results, the main characteristics of these visualizations were identified as well as the genres and tools used in their development, and the main visualization techniques used. These results demonstrate that the most used genres are slideshows, data comics, annotated charts, magazine style, and flow chart. One of the main open questions is about the genres used for each - different - type of data, demonstrating that the topic is emerging and necessary.
Representing Biases, Inequalities and Silences in National Web Archives: Social, Material and Technical Dimensions

Contemporaneous collecting of the publicly available web has provided researchers with an invaluable source with which to interpret various aspects of the recent past. With millions of websites gathered, stored and made accessible in national web archives over the past 25 years, this paper argues for the need to reflect upon, and respond to, the biases, inequalities and silences that exist in these vast repositories. This article presents a research agenda for web archivists and web historians to together think broadly about the social, material and technical dimensions that shape what is included in web archives, and what is excluded. A key challenge impacting this effort is that various complexities and contingencies of archival formation are obscured. These include wider social inequalities, the entanglement of human and machine decision-making in the archiving process, changing dynamics of power over information online and the environmental impact of technical systems. Accounting for these social, material and technical factors that shape the formation of web archives provides opportunities to develop and use archives in ways that better acknowledge both the strengths and limitations of national web archives as a proxy for the web’s past.
A Novel Cosine Swarm Algorithm for Solving Optimization Problems

In this paper, a robust swarm-inspired algorithm has been proposed known as Cosine algorithm (CA) to solve the optimisation problem. The CA generates several initial random agents’ solution and requires all of them to change towards or outwards the ideal solution by means of mathematical model on Cosine function. A number of adaptive and random variables are also added into this method to promote exploitation and exploration of the search space at certain optimization milestones. The results of performance metrics and test functions demonstrate that the developed algorithm is capable of successfully exploring diverse areas of a search space, avoiding local optima, converging towards the worldwide optimum and exploiting potential parts of a search space through optimisation.
A Quantum Online Portfolio Optimization Algorithm

Portfolio optimization plays a central role in finance to obtain optimal portfolio allocations that aim to achieve certain investment goals. Over the years, many works have investigated different variants of portfolio optimization. Portfolio optimization also provides a rich area to study the application of quantum computers to obtain advantages over classical computers. In this work, we give a sampling version of an existing classical online portfolio optimization algorithm by Helmbold et al., for which we in turn develop a quantum version. The quantum advantage is achieved by using techniques such as quantum state preparation, inner product estimation and multi-sampling. Our quantum algorithm provides a quadratic speedup in the time complexity, in terms of $n$, where $n$ is the number of assets in the portfolio. The transaction cost of both of our classical and quantum algorithms is independent of $n$ which is especially useful for practical applications with a large number of assets.
STUDENT DIFFICULTIES IN ENGLISH LEARNING DURING LIMITED PTM PERIOD

As an international language, English is important in globalization era and therefore taught in secondary schools, including MTs as one of the Islamic ones. However, the students of this Islamic school might feel bored and even they avoid of having English. And, therefore, this study is to describe students' difficulties in learning English during limited offline Teaching Learning Process (PTM) Period and to describe the factors that cause learning difficulties in English during limited PTM Period. Then, the method used in this study is a descriptive research design. The subjects in this study were 33 students who are all in class IX-A MTsN Gresik for the academic year 2021/2022. Data collection techniques used in thisstudy were interviews, questionnaires and documentation, then the analysis used is a qualitative approach. Based on the analysis, the results are that there are two factors that affect the difficulty of learning English for students of class IXA MTsN Gresik, that are internal factors and external ones. The internal ones includes less motivation and interest in attending English lesson, while the external ones consist of the less attractive medias and the less various and innovative methods. Based on the results above, it can be concluded that, first, the students of class IX-A MTsN Gresik still have difficulty in learning English lessons, because of internal and external factors.
Selection of promotional media with the integration of AHP Fuzzy and TOPSIS (case study in a study program)

Private universities need new students as one of the income to be able to run their operations. For that promotion needs to be done by them. When carrying out promotional activities, it is necessary to look at the availability of the budget, so it is necessary to be selective and choose the right promotional media and according to the budget. Selection of promotional media in addition to considering the budget, there are several criteria that must be considered, therefore the selection requires a multi-criteria method, one of which is TOPSIS. Initial weighting of the criteria for TOPSIS can be done with Fuzzy AHP, this method is used because it can overcome the fuzzy assesment when performing pairwise comparisons. So far, there are not many combined applications of Fuzzy AHP and TOPSIS in the selection of promotional media, so this research is expected to have a contribution to fill the gap. From the results of the study, it was found that the order of criteria that were important for the study program in the selection of promotional media were; cost, reach, audience fit and easy to apply. Meanwhile, the result of selecting the best promotional media for this study program was through social media
Attacks Against White-Box ECDSA and Discussion of Countermeasures

This paper deals with white-box implementations of the Elliptic Curve Digital Signature Algorithm (ECDSA): First, we consider attack paths to break such implementations. In particular, we provide a systematic overview of various fault attacks, to which ECDSA white-box implementations are especially susceptible. Then, we propose different mathematical countermeasures, mainly based on masking/blinding of sensitive variables, in order to prevent or at least make such attacks more difficult. We also briefly mention some typical implementational countermeasures and their challenges in the ECDSA white-box scenario. Our work has been initiated by the CHES challenge WhibOx Contest 2021, which consisted of designing and breaking white-box ECDSA implementations, so called challenges. We illustrate our results and findings by means of the submitted challenges and provide a comprehensive overview which challenge could be solved in which way. Furthermore, we analyze selected challenges in more details.
Faster Constant-Time Decoder for MDPC Codes and Applications to BIKE KEM

BIKE is a code-based key encapsulation mechanism (KEM) that was recently selected as an alternate candidate by the NIST’s standardization process on post-quantum cryptography. This KEM is based on the Niederreiter scheme instantiated with QC-MDPC codes, and it uses the BGF decoder for key decapsulation. We discovered important limitations of BGF that we describe in detail, and then we propose a new decoding algorithm for QC-MDPC codes called PickyFix. Our decoder uses two auxiliary iterations that are significantly different from previous approaches and we show how they can be implemented efficiently. We analyze our decoder with respect to both its error correction capacity and its performance in practice. When compared to BGF, our constant-time implementation of PickyFix achieves speedups of 1.18, 1.29, and 1.47 for the security levels 128, 192 and 256, respectively.
One Truth Prevails: A Deep-learning Based Single-Trace Power Analysis on RSA–CRT with Windowed Exponentiation

In this paper, a deep-learning based power/EM analysis attack on the state-of-the-art RSA–CRT software implementation is proposed. Our method is applied to a side-channel-aware implementation with the Gnu Multi-Precision (MP) Library, which is a typical open-source software library. Gnu MP employs a fixed-window exponentiation, which is the fastest in a constant time, and loads the entire precomputation table once to avoid side-channel leaks from multiplicands. To conduct an accurate estimation of secret exponents, our method focuses on the process of loading the entire precomputation table, which we call a dummy load scheme. It is particularly noteworthy that the dummy load scheme is implemented as a countermeasure against a simple power/EM analysis (SPA/SEMA). This type of vulnerability from a dummy load scheme also exists in other cryptographic libraries. We also propose a partial key exposure attack suitable for the distribution of errors inthe secret exponents recovered from the windowed exponentiation. We experimentally show that the proposed method consisting of the above power/EM analysis attack, as well as a partial key exposure attack, can be used to fully recover the secret key of the RSA–CRT from the side-channel information of a single decryption or a signature process.
Adapting education to industry 4.0: a comparative study

Objective: this study conducts a comparison among three countries (i.e., Colombia, Germany, and South Korea) on the adaptation process of their educational systems within the framework of Industry 4.0. Method: a comparative study of multiple cases to analyze the differences between these countries, which are considered as ideal types of events in central and peripheral countries to understand the differences and similarities among their educational strategies. Analysis is based on secondary sources of information that enable comparability among the three countries. In addition, a documentary analysis intends to shed light on the educational systems and strategies proposed for each country. Results: evidence is obtained of various educational policies implemented in the three countries, which leads to doubts about the capacity of peripheral regions to remain up to date in this area. Discussion and Conclusions: many aspects, such as the level of economic development and central or peripheral position, directly influence the type of strategy applied by each country and its success rate.
Trustworthy Transaction Spreading Using Node Reliability Estimation in IoT Blockchain Networks

Blockchain network architecture is a promising technology for constructing highly secure Internet of Things (IoT) networks. IoT networks typically comprise various sensors and actuators. Blockchain network technology can be applied to secure control robots in smart factories or reliable drone deliveries in smart cities. The wide spread of transactions and shared smart contracts across blockchain networks guarantees ultimate network security. A typical wired blockchain network maintains sufficient redundancy within a stable configuration. However, IoT blockchain networks exhibit unavoidable instability. The dynamic configuration changes caused by flexible node membership make it impossible to achieve the same level of redundancy as a stable network. A trustworthy transaction spreading method provides practical transaction sharing for dynamic IoT networks. We propose a Q-learning framework and a graph convergence network (GCN) to search for the proper spreading path of each transaction. The proposed Q-learning framework determines the next spreading hop using node features. The GCN determines the reliable area based on the Q-learning results. The discovered reliable area guides the proper spreading path of transactions to the destination node. In addition, the proposed trustworthy transaction spreading was implemented over an InterPlanetary File system (IPFS). The IPFS-powered experiments confirmed the practicability of the proposed transaction spreading mechanism.
Exploring Virtual Reality-based Teaching Capacities: Focusing on Survival Swimming during COVID-19

This study aims to analyse teaching capacities exhibited by survival swimming instructors applying virtual reality (VR) devices in the education field. We conducted in-depth interviews with swimming instructors to obtain research data, which was then qualitatively analysed. Based on the research results, the following capacities were derived. First, as the VR and simulator-based survival swimming classes utilise educational equipment, the ability to skilfully handle educational equipment is considered a vital teaching capacity. Second, strong communication skills are required to accurately explain the class objectives and contents. To achieve the class goals, teachers should practice using educational equipment before class, answer students' queries during and after practice, and prepare the necessary materials so that the class is well organised. Finally, the principal lecturer needs to be able to quickly improvise in various situations as needed to ensure students remain focused. Under the circumstances where survival swimming education was restricted due to the COVID-19 pandemic, the research results indicated that survival swimming education applying VR and simulation devices allowed students to indirectly gain experience, interest, and pleasure. Therefore, it is expected that VR-based education can increase students’ interest and learning performance in survival swimming. Finally, VR-based teaching capacities were derived based on the research results.
Cloud Computing: Security with Educational Usage

Cloud computing is one of the latest patterns of computing, where virtualized and dynamically scalable methods are provided to the Internet as a resource. Many industrialists say that cloud computing will give a new shape to ICT companies as revolution. The security provided by cloud computing is the key concern among consumers with its beneficial widespread applications. In this paper, several latest technologies of cloud computing and security of cloud computing with its usage in education have been studied.
The required competencies for future teachers in light of the requirements of intellectual security and knowledge economy

Intellectual security is one of the most important challenges facing the world in light of the rapid repercussions of globalization.Achieving it has become among the most important issues at all levels due to the radical change that globalization has brought about in the patterns of thinking in society.Also, the process of teacher preparation has gained increasing attention in light of the impact of the information and technological revolutions.. Hence, teacher preparation processes must be reviewed in light of the information and technological revolutions, which qualify him to adapt to the requirements and challenges of this age.Therefore, the research aimed to identify the competencies necessary for the future teacher in light of the requirements of intellectual security and knowledge economy.To achieve this objective, a questionnaire was prepared that includes the competencies required for the teacher to qualify him to achieve the requirements of intellectual security and knowledge economy.It was administered to (77) male and female teachers in the schools of Najran, and (41) members of the teaching staff at the College of Education at Najran University.The final version of the questionnaire included a list of ( 27) competencies, divided into (15) competencies on intellectual security, and (12) competencies on knowledge economy.The results showed high importance and need for these competencies from the teachers and faculty members' perspectives.Also, there were no differences in the teachers and faculty members' responses to the degree of need for these competencies.
Self-Regulated Learning Terhadap Hasil Belajar Matematika Siswa

Self-regulated learning is one of the important factors in learning to control oneself in thinking and acting. The purpose of this study was to determine the effect of self-regulated learning on students' mathematics learning outcomes. This research method is descriptive and quantitative with correlational and exposed facto types. The research sample consisted of students in grades VII and VIII at one of the public junior high schools in Serang City with details of 20 students in class VII and 20 students in class VIII. The instrument used is in the form of a non-test containing positive and negative items. The data analysis technique was carried out by inferential analysis using SPSS 25.00 software. The results showed that there was no effect of self-regulated learning or independent learning on students' mathematics learning outcomes.
MÉTODOS LÚDICOS CREATIVOS EN EL PROCESO DE ANIMACIÓN A LA LECTURA EN ENTORNOS VIRTUALES

The development of creative playful methods in the process of encouraging reading in virtual environments is a priority process that benefits and contributes to the acquisition of skills and abilities of children in initial education from the representative theoretical aspects of Montessori. , Reggio Emilia, Condemarín among others. In the present study, the objective was to analyze the benefits of creative playful methods of encouraging reading in the virtual environments of children from initial education centers in the canton of Portoviejo, Ecuador. Through reliable theoretical sources, which enriched the study of the variables. The research design was based on a quantitative, bibliographical, exploratory approach, applying the survey instrument aimed at teachers and parents; in addition to an interview with an expert in encouraging reading in early childhood. The research population was made up of parents or representatives, directors and teachers of initial education centers. When identifying the application of creative playful methods in virtual environments that teachers have, it was possible to determine that the vast majority know and apply them, but work should be done so that a significant achievement is reached in the application of said methods in the classroom. virtual context of initial education posing an important challenge in the development of skills and abilities of boys and girls.
Forest Fire Prediction Using K-Mean Clustering and Random Forest Classifier

Prediction of fire forest will be needing several parameters that located on the same location and on the same time frame. This is important to have data on the same location and same time periods, since forest fire mostly triggered by weather or temperature condition on certain area on the certain time. Since there are many parameters involved, the preprocessing will need to made the data have standard structure. The clustering process needed to give a label to the data with five class label, very low risk, low risk, medium risk, high risk, very high risk. Based on the clustered data, the data training and data test given for random forest classifier for model development, the composition of the data training and data test is 70:30. The accuracies of both algorithm is very good 100%, precision, recall and f1-score also have very high score 100%. This meant that the forest fire prediction model will produce a good prediction.
Photonic Metamaterial Analogue of a Continuous Time Crystal

Time crystals are an eagerly sought phase of matter with broken time-translation symmetry. Quantum time crystals with discretely broken time-translation symmetry have been demonstrated in trapped ions, atoms and spins while continuously broken time-translation symmetry has been observed in an atomic condensate inside an optical cavity. Here we report that a classical metamaterial nanostructure, a two-dimensional array of plasmonic metamolecules supported on flexible nanowires, can be driven to a state possessing all of the key features of a continuous time crystal: continuous coherent illumination by light resonant with the metamolecules' plasmonic mode triggers a spontaneous phase transition to a superradiant-like state of transmissivity oscillations, resulting from many-body interactions among the metamolecules, characterized by long-range order in space and time. The phenomenon is of interest to the study of dynamic classical many-body states in the strongly correlated regime and applications in all-optical modulation, frequency conversion and timing.
Perancangan Sistem Informasi Akademik Berbasis Web Mobile pada Pondok Pesantren Dar El Amir dengan Metode Waterfall

Dar El-Amir Islamic Boarding School is an Islamic boarding school that has been established since 2008 with a total of 140 students over time, a problem arose. Problems that are often encountered are related to the management of student data, teacher data, employee data, homeroom data and report cards which are still conventional, namely by writing using this paper, it can result in the emergence of larger duplicate data and damage to good data such as blurry writing or missing data. To solve these problems, an integrated academic information system must be made in order to facilitate data management and can be web mobile, meaning that it can be used on any device such as a laptop or mobile phone. This study uses the waterfall technique, this technique can be interpreted like a waterfall because there are stages that must be passed. The effect of studies that have been carried out by applying the waterfall technique shows that this academic information system can be useful for the management of student data, teacher data, tu staff data, homeroom data and report cards so as to make the data management process faster, more efficient and effective and help in the process dissemination of information related to the academic activities of Islamic boarding schools.
Pengujian Black Box menggunakan teknik Equivalence Partitions pada Aplikasi Sistem Pemilihan Karyawan Terbaik

In an application, a test is needed, to find out whether the application has errors or needs to be developed to be better. The Black Box Testing technique has been widely applied by researchers to test an application program that is appropriate or not. The software that will be tested is the best employee selection system application, and consists of a menu that will be inputted about employee data, as well as employee performance while in the company. The best employee selection system application is tested by Black Box testing. The purpose of testing this application is to see if the program performs every function we expect without looking at the source code of the software. The type of black box testing method used in this research is Equivalence Partitions. The Equivalence Partitions method is a test based on filling out each form in the best employee selection system, on each input menu will be tested and made into groups based on whether its function is valid or invalid.