Reviewerly/exHarmony huggingface dataset:
Analisis Kesalahan Numerasi Peserta Didik dalam Menyelesaikan Soal Assesmen Kompetensi Minimum

This study aims to analyze student errors in solving Minimum Competency Assessment (AKM) questions. This research was carried out in class XI MIPA 1 SMA Islam Cipasung with the instrument that had been prepared, namely the numeracy ability test sheet. This study uses a descriptive method with a qualitative approach. By means of purposive sampling, the determination of the subject was based on the test results of the students who answered all the numeracy indicators, so that 3 subjects were taken. The research instrument includes test sheets, and unstructured interviews and the data analysis technique used is qualitative descriptive analysis. The results showed that S - 8 made mistakes in analyzing the information in the question, S - 33 made mistakes in analyzing the information obtained and made mistakes in making decisions from the conclusions obtained.
Examining Dr Ecrip-ICT Based Technique on Students’ Literacy During the Covid-19 Pandemic

English has evolved into the most widespread and used language in the world.Speaking should be emphasized in the teaching and learning process without ignoring the importance of other skills since it is the most common way of communication employed by human beings.Today's problem encountered in teaching speaking is less interaction during the pandemic.This paper proposes using the "Dr.Ecrip-ICT" Based Technique on teaching speaking during the Covid-19 pandemic.We use an experimental study.The result shows that most students are interested and motivated to speak English after positive responses to this technique.After implementing the "Dr Ecrip-ICT" Based Technique, the students' speaking test increased significantly, i.e., from 57.34 to 70.06.We use the topic Offering Help to implement the "Dr Ecrip-ICT" based technique for the twelve grade students of MAN 2 Jember in the 2021/2022 academic year."Dr Ecrip" stands for drilling, exploring, creating, and performing.It reveals that the technique engages the students to use English for communication in real-life experience utilizing ICT-based media during the pandemic of Covid-19.
Randomized Poly-encrypted Image Exploiting Chaotic Beheviour

The security of digital data has become an essential need. Because the storage, transmission of data social networking has became inevitable, the need to ensure that data is no longer a luxury but an absolute necessity. The picture takes a large part of the data and its presence every day more important. in this paper, we use a new technique encryption which is poly encryption, this technique is based on the Decomposition of the image in a random manner, and each block will be encrypted by an algorithm that used different algorithm
THE CONTENT OF THE STUDY OF TECHNICAL UNIVERSITY TEACHER’S PROFESSIONAL AND PEDAGOGICAL ACTIVITY AT CONDITIONS OF INNOVATIONS

The interest to organization of higher technical education teacher’s activity in conditions of innovative changes was due to internal and external factors. They influence to the development of higher education as a whole and activity of teachers individually. The society has necessity in specialists of new format — socially and professionally active engineers with outlined personal features and unique competencies. This requirement is directing technical universities to preparation of engineers of new formation. The rapid scientific and technical progress, integration of innovations to educational process of higher technical university are presenting new requirements to the teacher activity, that are connected with necessity to work in conditions of high competition and to use opportunities of educational environment and infrastructure of higher educational institution for the purpose of organizing the interconnection of all participants of educational process. Technical university today is undergoing changes into the center of new technologies generation in preparation of technical staff. Now, it is being changed to a “hub” — the network of corporations that work with customers and suppliers of innovations the way they provide the transfer of technologies to modern market of consuming. These factors show high requirements to professional and pedagogical staff of university, teacher activity and their personal features and competencies. The article tried to analyze professional-pedagogical activity of higher education teacher, professionalism of which is undergoing the increase of requirements. We noted that teachers have necessity to tackle society challenges and adequately react on innovative changes in order to keep competitiveness and high demand. Based on found transformative changes at technical universities, problematic aspects of readiness of higher education teacher to complete professional and pedagogical activity in conditions of innovations were analyzed. The necessity of forming new environment, changing professional behavior of teachers at higher technical education was noted based on research of professional-pedagogical activity of teacher. It is connected with strengthening the role of teacher not only as a knowledge medium, but as an agent of changes in education and interpreter of innovative tasks.
Koronavirüs Salgını ve Bilinirliğinin Bitcoin ile Kıymetli Metal Fiyatları Üzerindeki Etkisi: Bir Nedensellik Analizi

Coronavirus (COVID-19), which emerged as an epidemic in China in December 2019, has been recognized as a pandemic by the World Health Organization as of March 2020. Events regarding the coronavirus shocked the markets and were seen as a threat to the markets. In this context, this study aims to examine the effect of the COVID-19 on Bitcoin prices and precious metals which are seen as low-risk assets in global markets. In the study, the causality relationship between the daily number of COVID-19 cases approved by the WHO and Google trends, and the price series of Bitcoin, Gold, Silver, Platinum, Palladium was investigated to determine the effects of the developments in the course of the epidemic on the prices of Bitcoin and precious metals. Toda-Yamamoto causality test was performed in the study where daily data were used between 19.01.2020-31.03.2021. According to the findings, a causality relationship could not be determined between the number of COVID-19 cases with Bitcoin and precious metals while it was observed that the recognition of COVID-19 has a very strong causal effect on Bitcoin prices and the prices of other precious metals except silver. In addition, a reciprocal causality relationship has been identified between the confirmed COVID-19 cases and the recognition of COVID-19.
Correction to: Resource Management Challenges in IoT Based Healthcare System

In chapter 4 “Resource Management Challenges in IoT Based Healthcare System”, affiliation of co-author, Biswajit Jena'smentioned as “Indian Institute of Information Technology Bhubaneswar, Bhubaneswar, India” instead of “Indian Institute of Information Technology, Bhubaneswar, India”. This has now been corrected.
Digitaization of Analogue Meter Reading Using Convolution Neural Network

Analogue meter is a device that has been widely used in a various industry to monitor and obtain the reading of the measurement. Based on the conventional approach, the meter reading will be done continuously by the meter reader that might cause high tendency of human error during the observation. To minimize this fallacy, this approach taken in this paper enables the automation of this the process by obtaining the reading from an analogue meter using an image processing technique and send the output to the central database for further processing. By implementing this approach, observation efficacy can be improved. This paper describes the process on how to obtain the digitized reading of an analogue meter using images captured by a camera. The images are then processed using an image processing method and the Convolutional Neural Network (CNN) is used to determine the reading of the meter. Data is then sent to the MySQL database, as this approach was easily implemented and managed either on-premises or via the cloud. The use case in this study was based on the analogue meter for domestic electricity supply in Malaysia and results show that the meter reading can accurately be recognized using the proposed approach.
Adsorpsi Logam Kadmium dalam Limbah Cair Buatan Menggunakan Biosorben Kulit Pisang Mas (Musa acuminate colla)

Mas banana ( Musa acuminata Colla) peel is a type of household waste as well as agricultural waste whose utilization still needs to be improved. In addition, among various types of heavy metals that are dangerous as contaminants in the environment, cadmium metal is a metal that is very dangerous to health even in very small amounts. Therefore, this study aims to not only utilize the waste of Mas banana peel ( Musa acuminata Colla) as a biosorbent, but also to determine the optimum conditions needed to reduce cadmium metal which involves several test parameters, namely stirring time, pH and mass of biosorbent. Variations of stirring time used include 10, 20, 30, 35, and 45 minutes; variations in pH used include 1, 2, 3, 4, and 5, while variations in the mass of biosorbent used include 0.5; 1; 1.5; 2 and 2.5 grams. The results showed that the optimum conditions were obtained at a mixing time of 35 minutes, pH 5, and a mass of 2 grams of biosorbent with a reduction percentage value of 78.45%. This percentage indicates that Mas banana peel can be used as a natural adsorbent for cadmium metal. In addition, the results of the FT-IR analysis of the Mas banana peel biosorbent showed that Mas banana peel has a functional group that plays a role in the heavy metal adsorption process.
Applying Neural Networks for Modeling of Financial Assets

The purpose of this chapter is to develop an analytical system for forecasting prices of financial assets with the use of artificial neural networks technology. Proposed by the authors, the analytical system consists of several neural networks, each of which makes the forecast of financial assets prices. The system includes recurrence (with feedback) neural networks with sigmoidal activation formula. This allows the networks to “remember” a sequence of reactions to the same stimulus. The learning process of neural networks is performed using an algorithm of back propagation of error. The key parameters of forecast for this analytical system are the indicators presented by the terminal MetaTrader 4-broker Forex Club: Average Directional и Movement Index; Bollinger Bands; Envelopes; Ichimoku Kinko Hyo; Moving Average; Parabolic SAR; Standard Deviation; Average True Range; and others.
HUBUNGAN LINGKUNGAN SEKOLAH DENGAN MOTIVASI BELAJAR SISWA KELAS V SDN SE-KECAMATAN BUTUH TAHUN AJARAN 2019/2020

&lt;em&gt;Every student has different learning motivation. It is influenced by school environment. The study aimed (1) to prove positive correlation between school environment and learning motivation of fifth grade students of public elementary schools in Butuh sub-district and (2) to determine the contribution of school environment on learning motivation to fifth grade students of public elementary schools in Butuh sub-district. It was quantitative correlational study. The data collection technique was questionnaire. The sampling technique used probability cluster sampling or area sampling. The results showed that there was positive correlation between school environment and learning motivation of fifth grade students. It had strong correlation 0.556. The school environment contributed 28.58%. It concludes that there is positive relationship between school environment and learning motivation to fifth grade students of public elementary schools in Butuh sub-district in academic year of 2019/2020. &lt;/em&gt;
Evolutionary based system for qualification and evaluation – A case study

In a previous paper the new EBSYQ (Evolutionary Based SYstem for Qualification and Evaluation of Group Achievements) system has been proposed for teachers and juries, helping them in making accurate and objective ranking. The analysis of the behaviour of the special characteristic sigmoid functions of the groups gives the possibility to discover some interesting points of view for qualifying the achievement and the standard of the groups (subgroups of talented and under- motivated students, spectrum of the group, eigenvalues, Lorentz function). This paper shows a case study of an international project of student groups competition in the field of product design, with Finnish and Hungarian students. Comparison of the decision process of the jury without using the EBSYQ system and with the application of the system shows the efficiency of the qualification system in realizing a well-founded and careful ranking of the groups, even in case of very close competition. Each point of view of the decision-making system is evaluated by numbers, which can increase the objectivity and accuracy of the decision.
Analysis of politeness strategies in Youtube reaction vlogs

The purpose of this study was to analyze the politeness strategies used in YouTube reaction vlogs and how these influence viewers.Content analysis was employed in identifying the politeness strategies used in the vlogs using Brown and Levinson's politeness theory.The results showed that there were 231 polite utterances used.The frequently used politeness strategy was positive politeness (48.05%), followed by bald on-record politeness (25.11%), off-record politeness (13.85%), and negative politeness (12.99%).A phenomenological inquiry was employed to gain the insights of 14 educators as participants in in-depth interviews and focus group discussions on how politeness strategies in reaction vlogs influence viewers.The following themes emerged: make a good conversant, give respect and protect an image, train how to evaluate issues and reactions, learn to appreciate vlogs, and aid in the teaching-learning process.Reaction vlogs, as an investigative genre of vlogging, could become a springboard to teach politeness and politeness theory and supplementary materials in teaching.Reaction vlogging, as a form of self-expression, could serve as a performance task among learners.
Digital defenses

Purpose This paper aims to review the latest management developments across the globe and pinpoint practical implications from cutting-edge research and case studies. Design/methodology/approach This briefing is prepared by an independent writer who adds their own impartial comments and places the articles in context. Findings All organizations need cybersecurity solutions to function in the digital age. For entrepreneurial ventures, what is required varies on their need for privacy, and how digitally adept they already are. Originality/value The briefing saves busy executives, strategists and researchers hours of reading time by selecting only the very best, most pertinent information and presenting it in a condensed and easy-to-digest format.
Analisis Motivasi Berprestasi Mahasiswa Dalam Sistem Pembelajaran Berbasis blended learning Era

The purpose of this study was to determine student profiles and the percentage of student achievement motivation in a blended learning-based learning system in the industrial era 4.0. The sampling technique used was stratified random sampling with cluster sampling. Total sample: 120 participants (30 x 4 classes = 120). From the data analysis, it can be seen that achievement motivation data results include, 33% of students have very high motivation, 38% high motivation, 17% moderate motivation, 8% less motivation, and 4% very low motivation. Overall student motivation in digital-based learning systems is very good, it can be seen from the results of data analysis that has been carried out, learning systems that can provoke interest in learning are very influential on increasing motivation, and conversely high motivation will be able to form a personality that is ready in various situations. no exception to the adaptation of the learning system that continues to grow.
Supplemental Material: Stratigraphy of the Eocene–Oligocene Titus Canyon Formation, Death Valley, California, and Eocene extensional tectonism in the Basin and Range

&lt;div&gt;Text: Additional explanation of the methods used to recalculate the Ar/Ar ages of Gutenkunst (2006), Saylor and Hodges (1994), and Saylor (1991). Figure S1: Analytical plots recalculated from &lt;sup&gt;40&lt;/sup&gt;Ar/&lt;sup&gt;39&lt;/sup&gt;Ar data originally produced by Gutenkunst (2006). Figure S2: Scans of a large scale map and seven isochron plots for five samples provided by B. Saylor (personal commun., 2015). Table S1: Detrital zircon U-Pb analytical data. Table S2: Zircon (U‐Th)/He analytical data. Table S3: Analytical data for &lt;sup&gt;40&lt;/sup&gt;Ar/&lt;sup&gt;39&lt;/sup&gt;Ar ages of Gutenkunst (2006).&lt;br&gt;&lt;/div&gt;
CLUSTERING OF PROVINCE IN INDONESIA BASED ON AQUACULTURE PRODUCTIVITY USING AVERAGE LINKAGE METHOD

Fisheries are one of the agricultural sub-sectors that play an important role in contributing to income figures for the state and the region because most of Indonesia's territory is water so that the fisheries sector is a sub-sector that is feasible to be developed in this country, one of which is through aquaculture. One of the efforts that can increase and maintain productivity in the aquaculture sector is to classify provinces that produce aquaculture production into groups based on the similarity of characteristics possessed by each province in Indonesia. In this study, clustering was carried out using cluster analysis using the average linkage method and based on the analysis results obtained showed that cluster 1 consists of 25 provinces, cluster 2 consists of 5 provinces, cluster 3 consists of 2 provinces, cluster 4 consists of 1 province, and cluster 5 consists of 1 province with a standard deviation value within a cluster of 11,729 and a standard deviation between clusters of 118,745.
Facial Privacy Preservation using FGSM and Universal Perturbation attacks

&lt;p&gt;Recent research has established the possibility of deducing soft-biometric attributes such as age, gender and race from an individual’s face image with high accuracy. Many techniques have been proposed to ensure user privacy, such as visible distortions to the images, manipulation of the original image with new face attributes, face swapping etc. Though these techniques achieve the goal of user privacy by fooling face recognition models, they don’t help the user when they want to upload original images without visible distortions or manipulation. The objective of this work is to implement techniques to ensure the privacy of user’s sensitive or personal data in face images by creating minimum pixel level distortions using white-box and black-box perturbation algorithms to fool AI models while maintaining the integrity of the image, so as to appear the same to a human eye.&lt;/p&gt;&lt;div&gt;&lt;br&gt;&lt;/div&gt;
Debugging Code

In the professional world of software, you’ll actually spend more time modifying existing programs than you ever will creating new ones. When writing new programs or editing existing ones, it doesn’t matter how much experience or education you might have because even the best programmers can make mistakes. In fact, you can expect that you will make mistakes no matter how careful you may be. Once you accept this inevitable fact of programming, you need to learn how to find and fix your mistakes.
Path Planning Strategy for a Manipulator Based on a Heuristically Constructed Network

Collision-free path planning of manipulators is becoming indispensable for space exploration and on-orbit operation. Manipulators in these scenarios are restrained in terms of computing resources and storage, so the path planning method used in such tasks is usually limited in its operating time and the amount of data transmission. In this paper, a heuristically constructed network (HCN) construction strategy is proposed. The HCN construction contains three steps: determining the number of hub configurations and selecting and connecting hub configurations. Considering the connection time and connectivity of HCN, the number of hub configurations is determined first. The selection of hub configurations includes the division of work space and the optimization of the hub configurations. The work space can be divided by considering comprehensively the similarity among the various configurations within the same region, the dissimilarity among all regions, and the correlation among adjacent regions. The hub configurations can be selected by establishing and solving the optimization model. Finally, these hub configurations are connected to obtain the HCN. The simulation indicates that the path points number and the planning time is decreased by 45.5% and 48.4%, respectively, which verify the correctness and effectiveness of the proposed path planning strategy based on the HCN.
More Theories, Good and Different: Reflections on the G. A. Dvoenosova’s Monograph on the Theory of Document in the Paradigm of Interdisciplinary Knowledge

G. A. Dvoenosova’s monograph is an attempt at theoretical rethinking of the phenomenon of document in the context of synergistic paradigm. It presents a full-scale structural and functional analysis of document. Based on the principle of causality, the laws of origin and evolution of document have been revealed, the role of document as a system-forming factor has been studied. These questions occupy several chapters in the monograph, where the phenomenon of document is examined in detail from different angles. Document is an interdisciplinary concept included in the dictionaries of many sciences: social, informational, humanitarian, technical, etc. This complicates its study and theoretical comprehension, since each scientific discipline forms its own view of the phenomenon, sets its own accents, and offers its own methods and approaches to its study. Being a classical document expert by education and vocation, G. A. Dvoenosova has made an attempt to integrate the existing knowledge on document into a unified theory based on synergetic toolkit and offered it to the scientific community. The author of the presented monograph is fluent in her material, using a variety of approaches to its interpretation (philosophical, informational, managerial, etc.). Her monograph is characterized by deep historiographic study of its main subjects and by its polemical orientation. Using different research optics, the author reveals the phenomenological nature of document, its systemic characteristics, allowing it to connect space and time, to organize society and structure its information flows. I would like to dwell on the definition of document as materialized memory of humanity. Evaluating the presented theory as an undoubted scientific achievement, it is important to emphasize that synergetic theory of document takes into account and integrates various achievements in the field of theoretical understanding of document as seen in classical document management, communication and information theories of document.