Reviewerly/exHarmony huggingface dataset:
Relationship between a Central Limit Theorem and Hotelling's \(T^2\)-Statistic in the context of the Stochastic EM Algorithm used in Mixture Analysis

In earlier research the asymptotic distribution of a test statistic, that uses the algebraic representation of Hotelling’s \(T^2\) and is pertaining to a process generated from the Stochastic EM (SEM) algorithm, was established in order to assess the performance of the EM algorithm in the estimation of the number of components in finite mixtures; theory concerning the distribution of \(T^2\) was based on a regularity assumption stating that the vector random process generated from SEM is normally distributed. In the present paper a central limit theorem and some theory concerning second order moments are used in order to investigate corresponding results obtained in case the process is generated from the stationary state of SEM without making any assumption of normality. A comparison between our findings and usual asymptotic theory for independently distributed vector random variables is also provided.
MENYUSUN KONSEP NOMOR IDENTITAS KOLEKSI MENGGUNAKAN BARCODE BERDASARKAN KARAKTERISTIK PERGURUAN TINGGI

This study aims to formulate the concept identity number of college library collections using barcodes. Identity number (ID) is prepared according to the characteristics of the university. The preparation is guided by the concept used in preparing the student’s identity number (NIM). This research was conducted at Andalas University. The research data was collected using questionnaires, observations, and interviews. Based on the questionnaire results 80% of libraries in Indonesia still use barcodes as a medium to provide collection identity numbers. Some of these libraries do not have written rules for compiling barcode numbers. The ID number compiled in this study contains elements of year, ownership code (faculty), location code where the collection is located, type of collection, the source of acquisition, and index number. The resulting identity number has accommodated all collections in universities, both central library, faculty, and departments. This concept supports the integration process of college library collections and makes it easier to identify collection ownership. Another advantage is that there is no identical identity number for different collections (redundancy) which can cause inconsistencies in the giving of identity. In addition, consideration of the use of various elements in the preparation of this identification number is to facilitate the grouping of collections, as well as the preparation of periodic reports on the library.
Urbanization and the lost of river activity on Malay human settlement

Malaysia, as any other country, is constantly evolving in all facets of life, including architecture, economy, and culture. Despite that, the Malay settlement on the River's fringe remains an early settlement due to the Malays' strong connections to agriculture and socio-culture. The Malay's brilliance in establishing settlements on the river's fringe is among the leading reasons for this community's glorious history in the maritime world. However, today's shift in river activity has eroded the strong bond in Malay settlement. Therefore, affecting the Malay settlements, which have a significant impact on their economic growth. The research methodology employs previous researchers' exploratory techniques focusing on the effects of urbanization, as well as socioeconomic data from 350 local respondents collected during the field survey in April 2019, and observation analysis information commonly used by architects to evaluate the context of the discussion. These include physical, social, cultural, and public amenities, and the data gathered then was amalgamated using IBM SPSS V26, supplemented by interview techniques and pictorial documentation. Mapping techniques are being used to generate existing settlements patterns by utilizing the Google Earth software. Finally, AutoCAD 2018 software is used to demonstrate the current settlement pattern in the case study situation. According to the results of the study, the pace of urbanization is speeding up and creeping into the Malay settlements. The destruction of river activities in order to change Malay settlement patterns and force them to follow or reject the current trend of urbanization.
Semantic Document Classification Based on Strategies of Semantic Similarity Computation and Correlation Analysis

Document (text) classification is a common method in e-business, facilitating users in the tasks such as document collection, analysis, categorization and storage. Semantic analysis can help to improve the performance of document classification. Though having been considered when designing previous methods for automatic document classification, more focus should be given to semantics with the increase number of content-rich electronic documents, forum posts or blogs online, which can reduce human workload by a great margin. This paper proposes a novel semantic document classification approach aiming to resolve two types of semantic problems: (1) polysemy problem, by using a novel semantic similarity computing strategy (SSC) and (2) synonym problem, by proposing a novel strong correlation analysis method (SCM). Experiments show that our strategies can help to improve the performance of the baseline methods.
Pengembangan Media Pembelajaran Berbasis Android melalui Model Pembelajaran PAIKEM (Pembelajaran Aktif, Inovatif, Kreatif, dan Menyenangkan)

The objective of the research is to develop android-based mathematics learning media on mathematics materials of junior high school class VIII quality to be used in the learning process. The research model used to develop this media is the learning model of ADDIE (Analysis, Design, Development, Implementation, Evaluation). In this study, the media were trialled to one material expert, one media expert, one development specialist, 3 students with different skill levels and twenty-two students on a field trial. From the results of these tests obtained the conclusion that this android-based mathematics learning media can be categorized good. Based on the results of the study concluded that the android-based mathematics learning media developed in accordance with the instructional development model. Suggestions pertaining to the development medium for discussion of exercise questions, clearer video clips in pronunciation, and further classroom development.
SOCIOLOGICAL ESSAY AS AN ASPECT OF SOCIO-CULTURAL EDUCATION OF STUDENTS

The article is devoted to the actual problem of educating students and the formation of historical memory and civil-patriotic position. The article analyzes the work of the Department of Sociology, Political Science and Economics of the Altai State Pedagogical University on the preparation and holding of competitions of sociological essays among students aimed at personal development, self-determination and socialization of students, the formation of their sense of patriotism, citizenship.
Different-region Balance Method for Exploring Varying Causal Relations Between Time Series

For discovering time-varying causal relations between time series, a common method is the sliding-window method with Granger causal tests on every window. However, the method performance is sensitive to window sizes, and an unsuitable size probably leads to poor performance. The different-region balance method is proposed. The variation degree of time series in current sliding window W (called variation bound Sw) is first computed, and the degree Su in front neighbor region U of W is computed. Then a forward exploring strategy is adopted: when Su≤Sw, a different-length-region balance test measure is carried out, i.e., causal-relation tests respectively in window W, combined region W and U, and combined window W and back neighbor region V of W; when Su>Sw, it uses the above-mentioned measure where region V has the same length as region U; Finally, in each region, all the test results are synthesized to give a final result. The new method combines the results from different-length regions to reduce its sensitivity to window sizes, and guarantees the accuracy and stability of final results. The experiments on one simulated data set and four real data sets show that, the new method can discover time-varying causal relations between time series effectively, and outperforms the compared methods on the balance performance of high accuracy and stability.
PEDAGOGICAL STRATEGIES FOR DEVELOPMENT OF COGNITIVE SKILLS IN A DIGITAL ENVIRONMENT

One of the main tasks of modern education is to form in studentsthe knowledge and competencies applicable in different fields, to increase their interestin learning, to form and develop their cognitive motivation. The variety of appliedteaching methods has a strong motivating potential in this respect, with an emphasison interactive teaching methods in a digital environment. This article presents somepedagogical strategies for development of various cognitive skills for learners. Differentmethodological approaches to learning through the application of innovative educa-tional tools are discussed. The advantages they offer in the learning process are pointedout. In the research we focus on pedagogical approaches, which create conditions forprovoking students’ thinking, for free expression of opinions and defense of one’s ownposition, for provoking creative thinking rather than reproduction of information.
Training strategies of college students' English reading based on computer phonetic feature analysis

Reading aloud is an extremely important and effective traditional Chinese teaching method to cultivate students' reading ability. Reading aloud depends not only on the mouth, but also on the eyes. When reading, you should carefully look at the teaching materials or words, and read them accurately. Reading aloud has to be expressed in spoken language, and the brain controls pronunciation to be accurate. When incorrect pronunciation is heard, it should be repeated until it is correct. In this paper, a speech feature extraction method based on computer auditory model is proposed. The frequency information is obtained from the zero-crossing point of the signal, and the intensity information is obtained from the peak amplitude and nonlinear compression. The error analysis of this method is carried out, and the difference of speech features caused by the difference of reading ability and gender is analyzed, and a preliminary conclusion is obtained. It is believed that English teachers should not only pay attention to reading aloud, but also pay attention to developing new forms of reading aloud teaching and strengthening strategy training of reading aloud teaching.
An Interval Neural Network Based on Improved Differential Evolution Algorithm

To solve the problems of slow convergence speed, low precision and easily trapped into local extremum for traditional interval neural network, the evolutionary operation in JADE algorithm is extended to interval operation, and an improved interval differential evolution algorithm is proposed to express uncertain data in metallurgical process. This algorithm adopts interval midpoint radius interval to perform arithmetic operation instead of traditional interval arithmetic operation to ensure the tracking performance of population individuals. This interval neural network is used to perform nonlinear interval functions fitting. Simulation results indicate that compared with gradient descent algorithm and traditional interval differential evolution algorithm, the interval neural network trained by the improved interval differential evolution algorithm has better performance.
Speech Communication: Talkers, listeners and signals

Speech communication research examines how spoken language is produced, transmitted and perceived. This involves a number of different disciplines, from linguistics and experimental psychology to speech and hearing sciences, and electrical engineering. The field covers a wide range of physiological, psychological, acoustic, and linguistic phenomena. In this presentation, I will highlight some ongoing research in the Speech Communication Technical Committee including work that examines how different challenges to the clarity of the speech signal, such as background noise, interlocutors who are not native speakers of the target language, or hearing loss, affect speech communication. This research has implications for improving communicative effectiveness for various talker and listener groups and human-machine interactions.
Marketing E-Resources in Festus Aghagbo Nwako Digital Library (FANDL) for Improved Access for Implementation of Project 200

Electronic information resources are invaluable assets in higher education, yet awareness of these resources among students and academics in many Nigerian universities seems to be low. The paper sought to find out the various tools which Festus Aghagbo Nwako Digital Library (FANDL) uses to market E-resources and the limiting factors. The respondents were 60 library users (students, lecturers, and researchers) selected through simple random sampling. The instruments used were questionnaire, oral interview,s and observation checklists. The study revealed that the major tools used for marketing E-Resources in FANDLare social media, seminars and workshops. The study recommended the formulation of a written policy for marketing EIRs and the provision of sufficient funds.
DA CRISE HUMANITÁRIA À CRISE SANITÁRIA NO SISTEMA CARCERÁRIO DO PAÍS: FOCO NA SITUAÇÃO DA CADEIA PÚBLICA DE PORTO ALEGRE/RS DURANTE A PANDEMIA

This research aims to investigate the place of civil liability in the correspondence between the provisions of the Civil Code and the Statute of the Person with Disability.For this purpose, it covers the interpretation of the articles that make up Law 10.406/2002 and Law 13.146/2015 with the purpose of outlining the dissonances and/or correspondences present in these legislations to then consider the institute of Supported Decision Making as an input of connection between the aforementioned laws.As a result, the TDA will be analyzed as a process that is part of both legislations and, therefore, can help to guarantee both the civil liability and the legal capacity of the people who resort to it.
Penerapan Algoritma K-Nearest Neigbour Dalam Rekrutmen Pegawai Tidak Tetap Di BPJS Kesehatan Cabang Gunungsitoli

The selection of new employees is an initial process before the employee and the company enter into a cooperation contract. Selecting manually or without digitizing will harm the company in terms of accuracy and time efficiency. On that basis, the author feels that it is necessary to create a system to determine the application criteria to pass the administration so that they can follow the next process. There are many techniques to improve the accuracy of decisions that can be used, one of which is by using so as to increase the accuracy of the decisions taken. One of the algorithms used is the K-Nearest Neighbor (KNN) algorithm. The application of the K-Nearest Neighbor Method into a Data Mining which is used as an application that can predict the graduation of the temporary employees BPJS Kesehatan Recruitment, Gunung Sitoli by adjusting the criteria and using weights so that it can be used with this method.
Las ecologías de aprendizaje en la formación docente a través de las TIC

The objective of the work presented was the characterization of the learning ecologies that, through ICT, are developed in the teacher training processes from a meta-synthetic study of theoretical construction, which was carried out from the review and analysis of 25 articles, selected under two search criteria in different databases. Making use of the theoretical premises, five categories were deductively constructed, and based on these a whole categorical corpus was constructed that allowed suggesting learning opportunities in the permanent training of teachers with the support of ICT. In the area of education, the notion of learning ecologies refers to the set of contexts and elements that are used for learning and that, in turn, determine it. Such contexts and elements are diverse in nature; thus, although some have technological bases, others are devoid of them. The learning processes that these groups enable can be experienced in different types of settings: formal, virtual, informal and / or face-to-face. Among the findings are the learning experiences in the classroom (virtual or face-to-face), the new roles that the teacher assumes in multiple contexts and the elements that help define patterns within their learning ecologies.
ANALISA DAN PENERAPAN METODE KLASIFIKASI DALAM DATA MINING UNTUK PENERIMAAN SISWA JALUR NON-TULIS

Plus Negeri 7 Bengkulu City is needed an information that can help the school to be younger in accepting new students in accordance with the criteria school. From the admission data the student will get useful information for the school where the existing data will be an information and policy in accepting students who will go to school. Importance Information obtained from the school will help the school in determining students who will accepted. C4.5 algorithm is a classification technique in which there is a data mining process using the CRISP-DM method so that a simple but accurate data classification will be obtained. Therefore the use of the C4.5 algorithm will make it easier for schools to make policies in accepting students. new
Research on trajectory planning of closed loop grouting robot

In order to promote building intelligence and solve the disadvantages of traditional grouting technology, the trajectory planning of closed-loop grouting robot was designed. The minimumsnap optimization function was used to optimize the A* algorithm to realize the 2D trajectory planning, which could obtain a smooth, continuous route, and planning diagram of time distribution, speed, acceleration, and jerk. Further, the weight function of the improved A* algorithm was adjusted to perform 3D trajectory planning to reduce redundant nodes in the route. A new approaching law adaptive sliding mode control method was used to achieve precise trajectory tracking of the robotic arm and reduce the problem of chattering in sliding mode control. Through the design of closed-loop grouting robot and the research of trajectory planning, the two-dimensional and three-dimensional paths of grouting robot could be optimized. The system could realize automatic grouting operation. It could promote the development of high efficiency and safety in the construction grouting industry.
Dynamic Workflow Composition with OSLO-steps

e-Government applications have hard-coded and non-personalized user journeys with high maintenance costs to keep up with, e.g., changing legislation. Automatic administrative workflows are needed. We present the OSLO-steps vocabulary and the workflow composer: combined, they are a means to create cross-organizational interoperable user journeys, adapted to the user's needs. We identify the requirements for automating administrative workflows and present an architecture and its implemented components. By using Linked Data principles to decentrally describe independent steps using states as pre- and postconditions, and composing workflows on-the-fly whilst matching a user's state to those preconditions, we automatically generate next steps to reach the user's goal. The validated solution shows its feasibility, and the upcoming interest around interoperable personal data pods (e.g., via Solid) can further increase its potential.
Failure Analysis of Hadoop Schedulers using an Integration of Model Checking and Simulation.

The Hadoop scheduler is a centerpiece of Hadoop, the leading processing framework for data-intensive applications in the cloud. Given the impact of failures on the performance of applications running on Hadoop, testing and verifying the performance of the Hadoop scheduler is critical. Existing approaches such as performance simulation and analytical modeling are inadequate because they are not able to ascertain a complete verification of a Hadoop scheduler. This is due to the wide range of constraints and aspects involved in Hadoop. In this paper, we propose a novel methodology that integrates and combines simulation and model checking techniques to perform a formal verification of Hadoop schedulers, focusing on the following properties: schedulability, fairness and resources-deadlock freeness. We use the CSP language to formally describe a Hadoop scheduler, and the PAT model checker to verify its properties. Next, we use the proposed formal model to analyze the scheduler of OpenCloud, a Hadoop-based cluster that simulates the Hadoop load, in order to illustrate the usability and benefits of our work. Results show that our proposed methodology can help identify several tasks failures (up to 78%) early on, i.e., before the tasks are executed on the cluster.
ANALISA PERKIRAAN USIA LIGHTNING ARRESTER TERHADAPSAMBARAN PETIR PADA JARINGAN DISTRIBUSI DI KOTA TANGERANG

Electrical energy is an substancial factor for supporting life a activities of a community. It is important for electric power to be transferred safely and continuously throughout the community. Along the process of distributing electric power, lightning may cause a disruption to the system. Therefore Lightning Arresterwas used as a security measure against power surge caused by lightning, although it won't worked all the time. It is possible that in a Lightning Arrester occur many malfunctions.Because of the problem it may cause, this research analyze the possibility of Arrester failure and life time of the medium voltage 20 kV arrester, mainly in Tangerang city with consideration of the metal oxide arrester. Data of lightningdisturbance that was used is based on lightning characteristics in Tangerang. In this paper, the number of probability for an Arrester to fail is 0,1582202. Using the average density of lightning strike taken from year 2016 until 2020 in Tangerangwith distance between each Arrester is 135 m for Banten PLN network, we are able to obtain the life time of medium voltage Arrester of 20 kv is 39 years 1 months 17 days. This situasion can occur because the Tangerang City has a small density oflightning strike.
E-LEARNING BERBASIS MOODLE SEBAGAI MEDIA PEMBELAJARAN MATEMATIKA DITINJAU DARI PEMAHAMAN MAHASISWA

The purpose of this study is to determine the effectiveness of Moodle-based e-learning which is used as a learning medium in terms of student understanding. This type of research is quantitative quasi-experimental research with a one group pretest posttest design. The population of this study was 2nd-semester students. The sample of this research was 36 students who were taken based on cluster random sampling technique. This research instrument uses math test questions that can be accessed through e-learning. The data analysis techniques were normality test as a prerequisite test, test for the difference in average pretest and posttest, test for the increase in the pretest and posttest results (N-Gain), and finally the effect size test. The results showed that the pretest data were not normally distributed, while the posttest data were normally distributed so that nonparametric statistical tests were carried out. The nonparametric statistical test used is the Wilcoxon test where the results show a sig score. (0.00) <0.05, which means that there is a difference between the average pretest and posttest scores. Furthermore, the n-gain test was carried out with a score of 0.53 which was in the medium category. This means that the pretest and posttest scores have a moderate level of improvement. And the last test results with the effect size test with a score of d = 1.47 which is in the strong effect category. This means that Moodle-based e-learning has a strong effect on students' understanding of mathematical concepts.