Reviewerly/exHarmony huggingface dataset:
QuEST and Intel-QS Quantum Computation Simulation Packages Performance Comparison

In the nearest future quantum computers will be suitable for practical use. The development of quantum algorithms can be carried out using classical computers and specialized software that allows simulating of a quantum circuit functioning. Simulation results can be used to analyze the algorithm and also contribute to co-design when developing quantum architectures. However, when planning and performing numerical experiments, it is necessary to understand the capabilities of simulators and the limitations on the parameters of the quantum circuit imposed by the characteristics of the available classical computational resources (computers). This paper presents the results of computational experiments on simulating the operation of quantum circuits on an ideal quantum computer using the QuEST and Intel-QS packages, as well as our own "naïve" implementation. Restrictions on the size of a simulated quantum system N are shown when using computing systems of various classes — a virtual machine, a computing server, a computing server with a graphics accelerator (GPU), a supercomputer (the maximum achieved size is N = 33). The performance and scalability characteristics of the considered implementations on shared and distributed memory are given (the observed scaling efficiency is 30 % and 70 %, respectively). For the QuEST package and our own implementation the performance is presented for systems with graphics accelerator (GPU).
Mathematical developments in the simulation hypothesis

Simulation Hypothesis is based on the idea that it might be the case that we all are present inside a computer. In this paper, we have performed some mathematical calculations based on the well-know equations of physics to further progress and understand the abilities and features of such a computer. One of our finding is the relationship of the essence of time between the computer and the simulation.
Service Sector as an Engine of Growth: Empirical Analysis of Rwanda

This research was econometrically analyzing Service sector as an engine of growth: empirical analysis of Rwanda from 1995 to 2020. The data were collected from BNR and were analyzed using Eviews7. The study used different opinions of economists concerning the Philips curve, by constructing short-term and long-term Philips curves in Rwanda by making some conclusions about the results at the end. We pay special attention in our research to the study of Phillips curve made by some economists of the last period the findings of this study indicate the following results: *, ** and *** indicates rejection of the null hypothesis of unit root at 10, 5% and 1% significant level, respectively. The SERV, FDI, LR, GR series are not stationary at level, and then we should test the Stationarity at the first difference. (*), (**) &amp; (***) represent respectively 10%, 5% and 1% level of significance.The results give an indication for the existence of long-run relationship between SERV and growth. The max and trace values statistic strongly reject the null hypothesis for “none “cointegration vector in favor of at least one cointegrating vectors at the 1 percent significance level. The cointegrating vector representing the long run relationship between service and growth. The above is endogenous because its probability of chi-square 0.000025 is less than 5% level of significance and it answers the second hypothesis of a Variable that can help national bank of Rwanda to control money supply in the short-run.The P- value of chi-square which is 0.0791 and this is greater than 0, 05 level of significant therefore, there is no short run causality between variables running from SERV, FDI, LR and GR at 5% level of significant. The results revealed out from the above table; LSERV, LFDI, LLR and LGR does Granger Cause LSERV at 10% level of significant due to their probability of 0.0284 which is less than 0.10 level of significance but LSERV does not Granger Cause LSERV, LFDI, LLR and LGR at 10% level of significant due to their probability of 0.1224 which is greater than 0.10 level of significance.
Decentralized Incognito Limpid E-Voting System

Voting is a constitutional part of governmental systems which gives the people of the nation the liberty to express their opinions.The contemporary system constitutes Electronic Voting Machines (EVM) that is a pile-up of data natively and centralized, making it implausible.Since the data is amassed locally over the EVM(s) prior to the election's cessation, it could be hacked.Furthermore, there have been events of "polling booth hijacking" in some regions during the elections.Ethereum blockchain technology addresses concerns regarding integrity, security, and accessibility of current voting systems.Expanding e-voting into Ethereum based blockchain technology is one potential application of the emerging blockchain technology.This paper presents a decentralized, incognito, and limpid e-voting system named "DILE".It will escalate accessibility as the users could cast their votes without paying a visit to the polling booths.DILE makes practical and effective use of Ethereum's blockchain technology and smart contracts for its implementation.
Hybrid approach redefinition-multi class with resampling and feature selection for multi-class imbalance with overlapping and noise

Class imbalance and overlapping on multi-class can reduce the performance and accuracy of the classification. Noise must also be considered because it can reduce the performance of classification. With a resampling algorithm and feature selection, this paper proposes a method for improving the performance of hybrid approach redefinition-multi class (HAR-MI). Resampling algorithm can overcome the problem of noise but cannot handle overlapping well. Feature selection is good at dealing with overlapping but can experience a decrease in quality if there is a noise. The HAR-MI approach is a way to deal with multi-class imbalance issues, but it has some drawbacks when dealing with overlapping. The contribution of this paper is to suggest a new approach for dealing with class imbalance, overlapping, and noise in multi-class. This is accomplished by employing minimizing overlapping selection (MOSS) as an ensemble learning algorithm and a preprocessing technique in HAR-MI, as well as employing multi-class combination cleaning and resampling (MC-CCR) as a resampling algorithm at the processing stage. When subjected to overlapping and classifier performance, it is discovered that the proposed method produces good results, as evidenced by higher augmented r-value, class average accuracy, class balance accuracy, multi class g-mean, and confusion entropy.
Investigation of the Geochemical Composition and Paleo-Depositional Environment of Ubo and Ikpeshi Marble Deposit, Southwestern Nigeria: A Comparative Study

The marble deposits at Ubo and Ikpeshi areas of Edo state, Southwestern Nigeria, were studied in order to determine the major elements and the paleo-depositional environment of the original sediments using standard methods. Results obtained using test of difference between Ubo and Ikpeshi marbles showed that CaO (51.977±0.922 &amp; 54.726±0.23), MgO (3.034±0.829 &amp; 0.499±0.115), Na2O (1.7±0.73 &amp; 0.024±0.008), MgCO3 (6.337±1.734 &amp; 1.034±0.238), Cu (24.589±0.692 &amp; 27.447±0.711), Ni (23.907±0.854 &amp; 30.979±0.494), all for Ubo and Ikpeshi respectively; with Ni showing highest significance with P&lt;0.01. The Ubo marble deposit occurs as a lensoid body within the younger metasedimentary sequence. The major element composition reveal a mean chemical composition of CaO (51.97 and 54.73 %), MgO (3.0 and 0.49 %), SiO2 (0.74 and 0.70%), K2O (0.08 and 0.04%), Na2O (1.70 and 0.02%), Al2O3 (0.75 and 0.25%), Fe2O3 (0.34 and 0.25%), and Loss on Ignition - L.O.I (43.34 and 49.31%) in Ubo and Ikpeshi marbles respectively, which is indicative that the marble samples were all calcitic. The low values of the total alkali content in the marble samples from the two locations indicate that the environment of deposition of the original carbonate materials that metamorphosed into marbles from both locations must have been a shallow, highly saline environment with probably little influx of salty brine water in the basin. Silica was used as an abscissa in these plots because it shows substantial variations among the marbles with most of the linear relationship between silica and the various oxides showing negative correlation, this probably reflects the admixture of the carbonates with chert. The trend of the plots of Na2O + K2O vs. SiO2 for the marbles from both locations show a variation in the salinity.&#x0D; Keywords: Ubo, Ikpeshi, Marble, Marine Environment, Metasedimentary
Perancangan Knowledge Management System Dosen untuk Menunjang Kurikulum Pembelajaran pada Mahasiswa di Institute Asia Malang

Maintaining the quality of education in higher education is the task of leaders, managers and lecturers who need to be equipped with adequate fields of expertise and knowledge as well as an understanding of quality in essence. One very important role is to maintain the quality of the human resources in it, namely the lecturer whose function is to transfer their scientific fields to students. The profession of lecturers as researchers and teachers who accompany students in transferring knowledge, it is very necessary to continue to hone and develop their knowledge fields by implementing knowledge sharing between fellow lecturers, so that it will provide added value, and will make them as lifelong learners (life-long learning) ). Meanwhile, the application of existing knowledge sharing between lecturers is only non-formal, the discussion is not yet structured, even though it has implemented the formation of a lecturer team for subject grouping, in reality it has not been carried out well. Based on these objectives, the formation of the course grouping team can be assembled properly so as to create an appropriate Knowladge Management System for every lecturer who teaches the course. Lecturers can transfer their fields of expertise and research together, so that it will produce a competent learning curriculum to equip students to take majors in the fifth semester. In this study, a Knowledge Management System with the SECI Model and FGD approaches will be built which will be applied to learning
The Role of RAMP Initiative (Reading and Mathematics Project) in Raising the Level of Students in the Basic stage in Reading and Numeracy Skills

This study aimed to identify the RAMP initiative&amp;rsquo;s role (read comprehensively, answer with understanding) in raising the level of literacy skills and numeracy from the point of view of teachers. It also aimed to identify its effectiveness in improving the reading and writing level of the basic minimum stage, as an initiative that reduces the delay in reading and helps in the development of skills to help students solve mathematical problems with understanding and accommodating. Closed questionnaires were distributed to the Central Badia region; the questionnaire consisted of (35) paragraphs divided into three areas of reading, writing, and arithmetic, where 88 teachers answered the questionnaire. Statistical analysis was adopted (Statistical Package of Social Sciences (SPSS) was adopted to show the study results. The results showed a role for the RAMP initiative in raising the level of reading and numeracy skill to a reasonable degree, where the skill of reading got a good degree, was the highest skill of voice awareness to an extraordinary degree and other standards are good. Writing skill got a good degree; it was the highest, the skill of writing words and the least skill of creative writing, and also obtained the skill of calculating a good degree above (counting units) and the lowest domain (participation and composition of groups). The results showed no statistically significant differences due to variable years of experience, while the results showed statistically significant differences in favor of a bachelor&amp;rsquo;s degree.
Tf*Idf and Random Walk For Term Candidate Selection On Automatic Subject Indexing

&lt;p&gt;Subject indexing is the act of describing or classifying a document by index terms or other symbols in order to indicate what the document is about, to summarize its content or to increase its findability. The selection of term candidate on automatic subject indexing is very important, because it can influence the result of topic extraction on document. Recently on the automatic subject indexing especially in the term candidate selection only consider terms in the document collection. In contrast, indexer prefers to choose general term on manual subject indexing for selection of term candidate. In this paper, we proposed a new strategy for selecting term candidate on automatic subject indexing for extraction the main topic from the document. The proposed method uses a combination of Term Frequency Inverse Document Frequency (TF*IDF) and Random Walk on the structure of thesaurus. Experimental results show that the proposed method can select the terms candidate that relevant to the topic of the document with F-Measure of 0.24.&lt;/p&gt;
E-Book as Educational Media ‘Aku dan Kehamilan Sehat-Ku’ : Narrative Review

Technological developments have affected the method of providing education in every field. The development of health education media is very helpful in increasing understanding of healthy living, as the process of pregnancy is a natural process. Hormonal changes that cause various kinds of complaints or discomfort will affect the baby if it is not addressed properly. The purpose of this research was to examine the results of research on the use of digital books or electronic books (e-books) in providing information about discomfort in pregnancy.This research used Narrative Review method, namely examining research articles. The research articles were obtained using the e-book, pregnancy, discomfort keywords in pregnancy from the Google Scholar, PubMed, Scopus and Wos databases. There were 30 articles obtained with 19 articles that were in accordance with the research objectives. It can be concluded that that there is a potential to develop e-book media that is modified with multimedia to be used as a media for health education about pregnancy and its discomfort.
Analisa Faktor Kesulitan Mahasiswa Dalam Menyelesaikan Skripsi Dengan Algoritma C4.5

The purpose of this study was to determine the most dominant factor in students' difficulties in completing their thesis. In this study, researchers used data mining techniques using the C4.5 algorithm. Sources of research data used were obtained from interviews and questionnaires to students randomly in the STIKOM Tunas Bangsa Pematangsiantar environment. The research variables used were motivation to graduate on time (C1), ability to write scientific papers (C2), availability of learning resources (C3), guidance process (C4), and peer environment (C5). In this study, the alternative used as a sample is the student of STIKOM Tunas Bangsa, semester eight. The results of the classification using the C4.5 algorithm and testing with rapidminer software found that the most dominant factor in student difficulty in completing theses was the motivation to graduate on time (C1) with a gain value of 0.204593531.
Drone Design Optimization with Swarm Networking using Particle Swarm Algorithm

In this paper we have proposed a swarm network of Blended Body drones. Relevant comparison was made with respect to conventional drones, in terms of aerodynamic stall angle, gliding ratio. We have also implemented a software architecture to aid in guiding the swarm to the desired target location. Artificial Potential Function and Particle Swarm Algorithms were used for the purpose of collision avoidance and path optimization. Further, a concept model for a carrying-cum-launching pod forcarrying and ejecting a drone swarm, was proposed.All analysis for the same was made in static medium in an analytic software.
Analisa Perbandingan Algoritma Damerau-Levensthein Distance dan Soundex Similarity Pada Pengkoreksian Ejaan Kata Otomatis

Damerau-Levenshtein Distance and Soundex Similarity are two methods that can be used to correct word spelling errors automatically. The difference between the two algorithms lies in the basic correction where the Damerau-Levenshtein Distance algorithm corrects word spelling errors based on word match, while Soundex Similarity algorithm corrects word spelling errors based on sound similarity. Although it is known that the two algorithms have differences, the most effective algorithm in correcting spelling errors of words is still unknown from the two algorithms. Because of this, a study was conducted to analyze the comparison of the two algorithms in automatic word spelling correction. The testing method is done by giving 50 words with spelling errors to be corrected automatically using the Damerau-Levenshtein Distance and Soundex Similarity algorithm. The results showed the Damerau-Levenshtein Distance method managed to get an accuracy of 72% with the success of word correction of 36 words. While Soundex Similarity algorithm gets an accuracy of 68% with the success of word correction of 34 words in automatic word spelling corrections.
Construction Quality Evaluation of Teacher Development Schools Based on Improved Artificial Neural Network

There are many problems with the convention teacher education model, such as the short internship time during pre-job training, and the limited experience, pertinence, and effectiveness of on-the-job training. Fortunately, the teacher development school mechanism provides a viable solution to these problems. Therefore, the construction quality of such schools is of great significance to the teaching level and professional development of school teachers, as well as the overall development of students. As a result, this paper proposes a method to evaluate the construction quality of teacher development schools based on an improved artificial neural network. Firstly, an evaluation index system was established for the construction quality of teacher development schools, which consists of 5 core evaluation indices, and the periodical scoring criteria were detailed. Then, the feasibility of the proposed evaluation index system was verified through reliability, validity, and difference analyses. Finally, a combined neural network was constructed to evaluate the construction quality of teacher development schools. The experimental results show that our model can effectively predict the construction quality of teacher development schools, providing a reference for project quality evaluation in other fields.
Virtual Self: A Text-driven Facial Animator

In this paper we present a system that generates a video of a person from only one image that is given to it, with complete facial animation and speech generated from the text message. The purpose of this project is to create a talking head that can (a) replicate the facial movements of the person whose image is given and (b) sync those movements with the speech that will be generated from the text input that is written to deliver the message the user wants their digital human to convey. Only two inputs, viz. An image of the user and text message that needs to be delivered are required by the system. This paper presents a method that uses only a single base model to create a personalized video, eliminating the hassle of training it every time. In a nutshell, the output of the system will be a two-dimensional clone of an individual made entirely of a still image of a person, that conveys the given text message to the target audience through replicated facial expressions.
Utilizing Group Investigation Techniques to Enhance Students’ Reading Comprehension Skills on Recount Text

Recount text is one of the texts in writing which must be taught and stated in Junior High School curriculum. Some students felt that reading text is boring because the students tend to be very lazy to read the text, so that they are not interested in English lessons. The researchers used group investigation technique as one of alternatives in teaching and learning to develop the material and make students more active and interested in class. The objective of this research is to find out whether teaching using group investigation technique is able to develop the students’ reading in recount text at the eighth grade students of SMP Negeri 17 Kota Serang. The methodology of this research was a quantitative research method by using true experimental design. The study was carried out into two classes, Class VIII E as experimental class, and Class VIII C as control class. The results of the study showed that group investigation was able to develop students’ reading comprehension in recount text. Mean of posttest score of the experimental class (67.31) was higher than the control class (64.18). Based on the statistical analysis using t-test analysis, it showed the value of tcount ≥ ttable = 49.12 ≥ 1.99. It means that (Ha) was accepted and the (H0) was rejected. It can be concluded that group investigation is able to develop students’ reading comprehension in recount text at eighth grade students of SMP Negeri 17 Kota Serang.
Wearable Sensors: A Wearable Body Condition Sensor System with Wireless Feedback Alarm Functions (Adv. Mater. 18/2021)

A multidirectional flexible tilt sensor, using laser-ablated non-wet surfaces and liquid metal, is realized by Kuniharu Takei and co-workers in article number 2008701, which can wirelessly monitor sleeping posture. In addition, sensors to monitor respiration rate and diaper moisture are successfully integrated with feedback alarm notifications. User-friendly interfaces, which incorporate alarm functionality, provide timely feedback for caregivers tending vulnerable populations with limited self-care capabilities.
Dinámicas de las prácticas pedagógicas y de los procesos formativos en básica primaria en contextos mediados por plataformas educativas

The rise of new technologies and easy access to the virtuality of students, knocks the doors of the school and teachers, to turn ICT into a new alternative in classrooms, for this reason you want to understand the dynamics of pedagogical practices and training processes in primary school students, when supported by educational platforms, seeking reflection and qualification of the implementation of this tool in school environments. To this end, an ethnographic methodology was carried out, where the main instruments for gathering information were interviews, surveys and observations. For the qualitative analysis of the data, the program Atlas.Ti 7.0 was used, from which it was possible to categorize the information and perform the reflexive analysis. Within the conclusions of the research project is that the implementation of educational platforms in the population under study was able to motivate students and parents in school activities, allowing interaction between them and the exchange of information
Informal Methods of Social Control in Society, Their Types and Their Effectiveness in Reducing Crime

The means and methods of social control are the tools used and used in maintaining the stability, stability, permanence, progression, progress, and development of the social system and society more fully, and the social system is exposed to many dangers and challenges that it faces, which result from defects and bad relationships. And human dealings, disruption of social behavior, and the transformation of structural institutions is a heterogeneous transformation that negatively affects the march of society, and the dangers and challenges that threaten the security and safety of society transcend themselves in unbridled and unbridled practices and actions, deviant actions, trends, and twisted currents. And the wire is straightforward that deviates from the correct behavioral and interactive context, which is recognized and recognized by society, accepted and tolerated by customs and traditions, and in our research, we will present informal methods of social control in society and we will learn about their effectiveness in reducing crime.