Reviewerly/exHarmony huggingface dataset:
Influence of Information and Communication Technology Skills on the Alleviation of Herders and Farmers Clashes in Nigeria

The study examined the influence of information and technology skills on the alleviation of herders and farmers’ clashes in Nigeria. Farmers/herders clash has been a thorn in the flesh of peaceful co-existence in community who has lived together for decades. The study attempted to answer two research questions and two corresponding hypotheses tested at 0.05 level of significance. A quasi-experimental Research design was adopted for the study. The population was made up of respondents from local communities consisting of 97 farmers and 74 cattle herders from Kaura Namoda, Shinkafi and Maru local government areas of Zamfara state. Test of Information and Communication Technology Alleviation of Herders Farmers Clashes (TICTAHFC) was administered as instrument for data collection. Respondent in the selected local government were exposed to an extensive training conducted for three weeks. Contents in the training manual included topics in usage of technological devices, processing and dissemination of information on Internet office technologies, WhatsApp application, Facebook Application, and local networking skills. The instrument was validated by experts in the field of psychology and counselling and Cronbach Alpha was used in obtaining a reliability coefficient of 0.79. Mean and standard deviation were used to answer the research questions, while simple regression t-test was used to analyse the hypotheses. The findings revealed that information dissemination using technological skills had influence in alleviating herders and farmers clashes in Nigeria. The study concluded that information dissemination and processing through the use of office technological skills if properly imparted on the respondents can be utilized to a high extend in alleviating farmers/herders clashes in Nigeria. A major recommendation advanced was that the Office IT professional and Extension workers should expose farmers and herders to technological skills on processing and dissemination of videos, YouTube, and live streaming program to teach them proper land usage pattern and need for peaceful co-existence. Keywords : office technology, technological skills, alleviation, farmers, herders
Recognition for Dangerous Goods Vehicles in Road Based on Dangerous Goods Mark Detection

Dangerous goods are harmful to human health and environment if not properly controlled. It is necessary to monitor the road transportation of dangerous goods in real time. In this paper, we provide a solution for the automated recognition of dangerous goods vehicles in road and achieve the state-of-art performance on the Dangerous Goods Vehicles datasets. We improve the existing faster RCNN by combining several strategies, including a lightweight CNN architecture for basic feature extracting, guided negative samples and a series of heuristic rules for false detection filtering. The experiment indicates that our solution improve both the accuracy and the speed of detecting dangerous goods vehicles.
Quadratic Entanglement Criteria for Qutrits

The problem of detecting non-classical correlations of states of many qudits is incomparably more involved than in the case of qubits.One reason is that for qubits we have a convenient description of the system by the means of the well-studied correlation tensor allowing to encode the complete information about the state in mean values of dichotomic measurements.The other reason is the more complicated structure of the state space, where, for example, different Schmidt ranks or bound entanglement comes into play.We demonstrate that for three-dimensional quantum subsystems we are able to formulate nonlinear entanglement criteria of the state with existing formalisms.We also point out where the idea for constructing these criteria fails for higher-dimensional systems, which poses well-defined open questions.
THE EFFECTIVITY OF ORAI APPLICATION IN TEACHING PRESENTATION SKILLS FOR NON-ENGLISH SENIOR HIGH SCHOOL TEACHERS

Non-English teachers often get nervous and are not confident when they have to speak up in English, especially when they have to speak in front of many people or do the public speaking in English. But nowadays, there are many mobile applications that offer the new method in speaking English. Orai is one of the applications which concerns to help the users in improving their English-Speaking Skills. The research aims to examine the improvement of teachers’ speaking skills by using Orai application. The data were taken from the teachers who did not teach English in Senior High School in Bandung. Data were analyzed using descriptive statistic by finding out the total score per item. The results of the research show that Orai application helps teachers in improving their speaking skill. It helps teachers in correcting their pronunciation and their intonation when they speak. It also reduces some sources for the efficiency such as books, speakers, writing tools, headset, etc. The participants show the positive and good response using Orai application in assisting participants’ speaking fluency.
Low Computational Data Fusion Approach Using INS and UWB for UAV Navigation Tasks in GPS-Denied Environments

This paper presents a low computational approach for unmanned aerial vehicles (UAV) navigation in GPS-denied environments. This approach is aiming to reduce computation load for UAV flying mission constraints. Small size, light weight on board hardware are constraints for UAV deployment and flying missions. The on board processor should not be built with high complexity and should consume as little computing as possible. Most existing approaches use Kalman filter, extended Kalman filter, Unscented filter, or particle filter to fuse different types of onboard sensor data to estimate UAV position. We developed a data fusion architecture that does not use these filters. We use an ultra-light-coupling fusion architecture. In this architecture, primary sensor and secondary sensor data are fused. When the secondary sensor is unavailable in most of the time, the UAV navigation uses the output of the primary sensor. When the secondary sensor signal is available, the primary sensor is re-aligned using the secondary sensor signal to bond the errors. In our approach, the primary sensor is Inertial Measurement Unit (IMU), and the secondary sensor inputs are from Ultra-wideband system (UWB). This approach is validated using demonstration of comparison of computing load, and simulation results for accuracy and reliability testing using UAV flying mission scenario.
High-Order Unscented Transformation Based on the Bayesian Learning for Nonlinear Systems with Non-Gaussian Noises

In this paper, a new high-order unscented Kalman particle filter (HUPF) is proposed to solve the state estimation problems for nonlinear systems with non-Gaussian process noises and different measurement noises scheme. Based on a high-order Unscented Transformation (UT) method, the accuracy of importance density function (IDF) and the rationality of prior distribution are guaranteed, and it is substituted into the framework of Bayesian learning. The proposed HUPF has the higher computational complexity than existing filters, such as standard extended Kalman filter (EKF), unscented Kalman filter (UKF) and particle filter (PF). The superior performance of the proposed HUPF as compared with existing methods is illustrated in a numerical example concerning strong nonlinearity with non-Gaussian noises.
Selecting Decision Variables for Artificial Bee Colony using a Self-adaptive Variable Matrix

Artificial Bee Colony (ABC) is a Swarm Intelligence optimization algorithm well-know for its versatility. The selection of decision variables to up-date is purely stochastic, incurring in several issues to the local search capability of the ABC. To address these issues, a self-adaptive decision variable selec-tion mechanism is proposed with the goal of balancing the degree of explorationand exploitation throughout the execution of the algorithm. This selection,named Adaptive Decision Variable Matrix (ADVM) represents both stochasticand deterministic parameter selection in a binary matrix and regulates the ex-tent of how much each selection is employed based on the estimation of thesparsity of the solutions in the search space. Influence of the proposed approachto performance and robustness of the original algorithm is validated by experi-menting on fifteen highly multimodal benchmark optimization problems. ADVMis integrated into the original ABC and variations in order to showcase the flex-ibility of the method. Numerical comparison is made against the ABC and theirvariants, as well as to other population-based algorithms (e.g., Particle SwarmOptimization and Differential Evolution). Results show an improvement of theperformance of the algorithms with the ADVM in the most difficult instances.
STUDENTS' ATTITUDE TO THE USE OF MICRO:BIT DEVICES IN TEACHING

The BBC micro:bit is a handheld, programmable micro-computer, widely used in primary schools in Croatia.The aim of this paper is to explore students' attitudes to the use of micro:bit devices in teaching in primary school.Conducted research examine how students experience micro:bit in teaching.The research was conducted by the survey method in two primary schools in four eighth grades.Questionnaire was composed of 10 statements with which students were asked to express their attitudes on Likert's scale.For the purposes of research, three hypotheses were set.The first hypothesis was: There is a difference between female and male students in accepting micro:bit.The results show that 96% of male students think it is interesting to use micro:bit in classroom, while 62.5% of female students think it is interesting.When asked whether they think about new ways to use micro:bit 40% of male students and just 6.25% of female students agreed or completely agreed.That micro:bit is fun to use, consider 92% of male students and 75% of female students, and 63.51% of male students and 50% of female students think it is useful.When asked whether they want to use micro:bit more often, 76% of male students and 56.25% of female students agreed.These results show that male students generally have more positive attitudes towards the use of micro:bit in teaching.The second hypothesis was: Students experience that micro:bit is easy to use.With the statement that micro:bit is easy to use, 70.73% of respondents agree and that micro:bit is complicated to use considered only 7.32% of the students.The same number of respondents reported being confused when working with micro:bit, while 80.49% of respondents estimated that they understood how to use micro:bit.These results show that students experience micro:bit as simple and intuitive.The third hypothesis was: Students with predominantly excellent grades positively accept the use of micro:bit in teaching.Almost 50% of respondents reported top grade rating (5).Among them, 75% want to use more micro:bit in classroom, 95% think the use of micro:bit is fun, equal number find it interesting to use and 80% of them estimate that the use of micro:bit is useful to them personally.These high rates point to a positive reception of micro:bit by students with excellent grades.Results of this research show the dominant positive attitudes of the students to the use of micro:bit in teaching, and it is certainly recommended to continue with similar research to gain the best insight into the technology itself and the student experience with the aim of maximizing the positive effects of micro:bit on teaching process.Meanwhile, the micro:bit have started to be used around the world (Denmark, Australia, Finland, China Hong Kong, Japan, etc.), which confirms that this is a highly potent technology with far-reaching consequences, which should continue to be followed by science and profession and adapt to support teaching for realization of maximum student development.
Pemanfaatan Koleksi Perpustakaan oleh Pelajar di Dinas Perpustakaan dan Kearsipan Kabupaten Sijunjung

AbstractThe writing of this paper about the use of library collections by students in the Sijunjung Regency Library and Archives Service aims to find out internal and external factors that influence students in utilizing library collections in the Sijunjung District library and Archives Office. This type of research used in this study is a descriptive study using a quantitative approach, data collection techniques through the distribution of questionnaires to students who visit the library at the Library and Archives Office questionnaire distribution is done accidentally (accidental sampling). Based on the data that is processed, it can be concluded that the use of library collections is influenced by internal factors in terms of user needs, namely the frequency of students visiting on average once a week (38.5%) where students use to read (50%), students say they are satisfied visit the library because they get the information needed (60%). In terms of user motives (88%) students said books in the library were very helpful for doing school work. In terms of user interest the average length of time to visit (26%) students answered 1/2 hour each time they visited. Utilization of library collections is influenced by external factors in terms of collection completeness (66%) students use collections by borrowing, (88%) students say they agree about completeness of collections in the library. In terms of the skills of librarians in serving users (58%) students said the actions of librarians directing the location of bookshelves to students who had difficulty finding books needed, (59.3%) students said the attitude of the librarian was friendly. In terms of the availability of information retrieval facilities, the way students look for collections (86%) said directly to books, (67%) students said that it was necessary to improve computer facilities to access the internet in the library.Keywords: Utilization, Library, Collection, Students
Framework for Member Success

Our organization and governance (our committees, offices, processes, etc.) play a major role in what it is like to be a member. For those of us who are most involved in ALA and LITA, the organization may be familiar and supportive. But for new members looking for a foothold, or library workers who don’t see themselves in our association, our organization may look like a barrier. Moreover, many of our financial challenges are connected to our organization. The organization must evolve, but we must achieve this without losing what makes us loyal members.&#x0D;
CONTENT OF READING MATERIAL ON THE EIGHTH GRADE STUDENTS’ TEXTBOOK

Textbook gives a big contribution to the students’ improvement in teaching process. One of the contents on the English textbook is reading. A good content of reading has several criteria. The criteria can be a clear explanation, easily to be understood, and giving new information to the students. This research aims to find out whether the content of textbook especially in reading materials fulfills criteria of good content. In conducting this research, interview and content analysis method were used to collect the data about the reading content on the textbook. After conducting the research, there were several findings about the reading content of the textbook such as the reading materials were implemented by using any various forms and perspective of English teachers of the school about the textbook. Briefly, content of textbook especially reading material contributes bigly to the students in order to enhance their skill in reading any kinds of text and other forms of reading material.
K-Means Algorithm Based on Initial Cluster Center Optimization

K-means algorithm is a kind of algorithm with higher frequency at present, but with the continuous research, this algorithm gradually exposes some defects in practical application, which is manifested in the choice of random and sensitive noise points, which is difficult. Get accurate and reliable clustering solutions. Aiming at this kind of defect, a K-means algorithm based on the distance density of noise points is proposed. Specifically, it uses the effect of density and distance on the cluster center to perform weighted analysis and prediction of the randomness of its data. Processing, based on the determination of data weights, further introduce the “minimum and maximum principle”, which can automatically select the initial clustering center and determine the number of clustering centers. The research results show that this new algorithm can meet the expected requirements, which can not only ensure the accuracy and reliability of the optimization results from the source, but also help people to conduct a more comprehensive and rigorous analysis of the data.
Social Choice-based Explanations: An Approach to Enhancing Fairness and Consensus Aspects

Explanations are integrated into recommender systems to give users an insight into the recommendation generation process. Compared to single-user recommender systems, explanations in group recommender systems have further goals. Examples thereof are fairness, which helps to take into account as much as possible group members' preferences and consensus, which persuades group members to agree on a decision. In this paper, we proposed different types of explanations and found the most effective ones in terms of increasing the fairness perception, consensus perception and satisfaction of group members with regard to group recommendations. We conducted a user study to evaluate the proposed explanations. The results show that explanations which consider the preferences of all or the majority of group members achieve the best results in terms of the mentioned dimensions. Besides, we discovered positive correlations among these aspects. In the context of repeated decisions, group members' satisfaction from previous decisions are helpful to improve the fairness perception of users concerning group recommendations and speed up the group decision-making process. Furthermore, we found out that gender diversity does influence the perception of users regarding the mentioned dimensions of the explanations. Although the proposed explanations were analyzed in group decision scenarios for non-configurable (no-attribute) items, there exist potential possibilities to apply them to explanations for configurable items.
Multiple Intelligence Measurement through Performance Tests in Students of 1st High School, Tana Toraja

The theory of multiple-intelligences initiated by Howard Garner because of dissatisfaction with the education system, which introduced the intelligence quotient test system.The multiple-intelligences philosophy has changed the face of education today because it eliminates the distinction provided by schools to students.The multiple intelligences theory emphasizes that each is different and cannot be forced to be equal.This paper aims to discuss multiple-intelligences on student performance tests in 1st High School Tana Toraja.The author provides performance tests and questionnaire instruments to respondents.The results of the performance test and questionnaire instruments which had completed the performance tests and questionnaire instruments.The results showed that the students of 1st High School Tana Toraja were not optimal in using their intelligence to develop their potential.The reason is that students do not understand clearly the type of multiple-intelligence.Students are not interested in improving their type of multiple-intelligence and are more interested in developing other intelligence potentials.
CURRENT TRENDS IN THE PREPARATION OF FUTURE PHILOLOGISTS-TRANSLATORS

The article highlights the current trends in the training of future philologists-translators, namely the combination of traditions and innovations.An innovative way of social development can only be secured if a generation of thinking and acting people is formed.Considerable attention is paid to the person's overall development, his communicative abilities, independence in making decisions, criticality and culture of thinking, development of information and social skills.The need to improve these issues is conditioned by the state of modern society, because in the context of constant expansion and deepening of the spheres of intercultural communication in the modern world, and in particular in Ukraine, there is a need to reform translation education.The demand of the Ukrainian university in the formation of intellectual and creative philologist-translator is growing.Successful professional realization of future translators depends on their professional training, which is aimed at the developing of their communicative competence and provides not only the mastering of the language as the means of communication, training, self-education and ensuring a free, normativecorrect and functionally-adequate command of all types of language skills level, close to the level of the native speaker, but also allows them, after graduation, to carry out all the functionalities and responsibilities.The professional training of potential translators at the university is carried out within the framework of the course of translation theory and practice that means the set of knowledge, skills and abilities which allow the translator to solve their professional tasks successfully.Current requirements for the professional training of future philologists-translators should also take into account the recommendations of the European Council, which clearly outline the task of forming specialists who will be capable to compete in today's employment market.
Analysis of Candidates Profile for the National Entrance Exams for Admission to Brazilian Universities

This paper presents an analysis of candidates to the National Entrance Exam for universities in Brazil, called ENEM. Besides evaluating the performance of high school students, the implementation of ENEM was aimed to increase the population's access to higher education. By analyzing the information of ENEM candidates, we observe how the student's profile haschanged over the years in terms of education level, social inclusion, and the total of students per region. Our analysis considers information extracted from ENEM log files, from 1998 to 2017. The collected data provides details about the candidates, including age range, gender, the region of birth, and scores divided by subject. The total amount of data stored in the logs exceeds 64 GB. Handling such a volume of information requires high computational power. Thus, to extract and analyze the data, we implemented a distributed analyzer using Apache Spark. The analyzer adopts a MapReduce strategy, distributing jobs among worker nodes, which run independently and process part of the data in parallel with other workers. As a result, we present a quantitative analysis of ENEM candidates and describe how their profile has changed since ENEM was implemented, twentyyears ago.
Verifiable Quantum Cloud Computation Scheme Based on Blind Computation

In this paper, we propose a verifiable quantum cloud computation scheme based on blind quantum computation which effectively solves the privacy and verifiability problem for clients when interfacing with quantum computer in cloud computation. Different from most of present works (e.g. using brickwork state as resource state), we use cluster state with grid distributed structure to realize the universal and cryptographic calculation which is more suitable for the distributed architecture of cloud computation. Throughout the process, the random key is always held by the client that effectively promote the confidentiality. Moreover, we propose a new method to make the client Alice verifies the correctness of the results through only classical calculation. Security analysis shows that cloud server Bob can only obtain the dimension of input state and cluster state from the calculation, but cannot obtain any information of the input, the output and the algorithm. Dishonest Bob will be detected during the verification.