Reviewerly/exHarmony huggingface dataset:
KEEFEKTIFAN METODE TIME TOKEN DALAM PEMBELAJARAN MENGANALISIS ISI TEKS EKSPOSISI PADA PESERTA DIDIK KELAS X SMA NEGERI 3 PEMALANG TAHUN PELAJARAN 2019/2020

This research is motivated by the lack of interest of students to be active in receiving learning to analyze the contents of the exposition text. Motivation and creativity are needed to present learning that fosters students' interest in learning and receiving material. The method chosen based on the innovation of the researcher presents an interesting and impartial method of active and less active students with the time token method. Related to the background of the problem, the main problem studied is how is the effectiveness of the time token method in learning to analyze the contents of exposition text in class X students of SMA Negeri 3 Pemalang in the academic year 2019/2020? The purpose of this study is to describe the effectiveness of the time token method in learning to analyze the contents of exposition text in class X students of SMA Negeri 3 Pemalang in the academic year 2019/2020. The research method used in this study is quantitative. The research data were obtained from the results of tests and non-tests of class X students of SMA Negeri 3 Pemalang in the academic year 2019/2020. In quantitative research the data obtained from the test results will be analyzed with the data analysis techniques of normality test, homogeneity test and t-test. Based on the results of the study obtained an average value of 81.286 experimental class with a good value category. While the control class obtained an average value of 59.071 with a less value category. This proves that the time token method is effective in learning to analyze the contents of exposition text in class X students of SMA Negeri 3 Pemalang in the academic year 2019/2020.
A Novel Fault-Tolerant Container Scheduling Algorithm in Docker Based Cloud

Docker Container is newly introduced technology in cloud Computing since last few years. Docker Swarm is tool for scheduling and managing individual Container for microservice application within a cluster of private cloud and public cloud. Docker swarm has three scheduling strategies spread, binpack and random. Currently, only Spread scheduling strategy is supported in docker swarm. Spread strategy is based on single objective to spread containers from each service over as many nodes as available, as evenly. But when there's a choice between suitable nodes for the next containers, preference is given to the node with the fewest total containers. However, when any node is failed it will place its running containers evenly on available nodes and in this situation some nodes are overloaded and some node will become underloaded. Other drawback of spread strategy is while creating container with memory reservation if suitable nodes are not available it will place all containers on same nodes. In this paper we proposed new scheduling strategy that will solve the problem and no node will be overloaded and underloaded after failure of nodes in cluster.
Determining Organization of Educational Lecture Video Based on Presentation’s Contents

Videos have become a very important part of higher education institutes. It is integrated as part of any traditional courses. Even though video lectures are very interesting teaching resource for the students, but they lack in accessing the required contents. We cannot access to the specified section of video unless the location is known. The main aim of this chapter is to automatically partition an educational lecture video into various topical segments which is then presented to the students in a customized manner for easy navigation. This approach identifies the topics being covered by the instructor, based on text similarities across the various frames in the lecture video. Fundamental problem in any lecture video is to give semantic query and effectively retrieve relevant contents form long video. Effective search capability for the students can be provided if proper browsing facility is available. Our approach concentrates on the slides instead of a presenter from the projected electronic slides. The method aims in using the video streams of the lecture delivered captured from camera and get the slides converted into images after applying slide segmentation. These independent images have heading and subheadings which will be used for organizing the lecture video. The organizing and segmenting educational lecture videos of the technical contents according to slide changes not only structure the content of video according to topics, but also facilitate the synchronization of video, audio and electronic slides for effective indexing, browsing and retrieval at later stage. The purpose of this work is to make learner easy access to the video contents. Getting to a specific page or paragraph in the text books is easy because of the content page in the beginning of the book and index page at the end of the book. In the similar context; lecture video need a system to extract a text from the presentation slides. The main objective of this study is to develop effective and efficient automated approaches to segment lecture videos into topics and subtopics. This video segmentation and browsing structures will support knowledge searching and e-Learning.
A real adjacency matrix-coded evolution algorithm for highly linkage-based routing problems

In routing problems, the contribution of a variable to fitness often depends on the states of other variables. This phenomenon is referred to as linkage. High linkage level typically makes a routing problem more challenging for an evolutionary algorithm (EA). An entire linkage measure, named entire linkage index (ELI), has been proposed in this paper for such routing problems. Aiming at solving high linkage-based routing problems, we presented a real adjacency matrix-coded evolution algorithm (RAMEA) that is capable of learning and evolving correlation matrix of decision variables. The efficiency of RAMEA was tested on two familiar routing problems: travelling salesman problem (TSP) and generalised travelling salesman problem (GTSP). The experimental results show that the RAMEA is promising for those highly linkage-based routing problems, especially for those of large-scale.
The Influence of WhatsApp Usage to Learning Motivation on Indonesian Languange Subjects

Abstract. At this time, online learning is increasingly being used in schools. One of the most widely used online learning applications is WhatsApp. Therefore, this research is important to do. This study aims to: (1) describe the use of WhatsApp for Class VII students of SMP Negeri 24 Makassar in Indonesian subjects; (2) describe the motivation to learn Indonesian for Class VII students of SMP Negeri 24 Makassar; and (3) proving the effect of using WhatsApp on the motivation to learn Indonesian in Class VII SMP Negeri 24 Makassar. This research uses quantitative research with ex post facto method. The population in this study were all students of Class VII SMP Negeri 24 Makassar in the academic year 2020/2021, with a total of 360 people. Sampling in this study used a stratified random sampling technique by determining the number of samples using the Slovin formula so that there is 78 samples for research. The instrument in this study was a closed questionnaire using a Likert scale. Data analysis in this study used the SPSS application version 26. The results showed that: (1) the level of students WhatsApp use is in the high category; (2) the level of students motivation to learn Indonesian is in the high category; and (3) the result of regression test showed that the use of WhatsApp had a positive and significant effect on students motivation to learn Indonesian by 20,9%> The regression coefficient test value is 0,572. This value shows that for every 1% addition to the level of WhatsApp usage, the value of students Indonesian learning motivation increases by 0,572. The regression coefficient is positive so that the direction of the influence of the variable X on Y is positive. Keywords : Influence, WhatsApp, Motivation
Herramienta de análisis de contenido en libros de texto

This work is based on content analysis for Secondary Education textbooks, whose focus is first order equations lessons. The content of such textbooks is studied through research design, following the standards of category systems. Finally, different textbooks from 2nd and 3rd school year of Spanish secondary system are taken into account for research, being these textbooks also from three different publishing houses.
Impact of fixed and flexible exchange rate on economic growth in Nigeria: A VECM approach

The stability of exchange rate in Nigeria is a significant monetary policy target.The fact that monetary authorities in Nigeria have over the years made various efforts to minimize the huge divergence between the official, interbank/autonomous and parallel/ Bureau De change rates in Nigerian foreign exchange market through different exchange rates regimes such as the overall fixed and flexible exchange rates regimes overtime.Accordingly, this paper investigates the comparative analysis of the impact of fixed and flexible exchange rates management policies on economic growth of Nigeria for the period of 1980A-2016A: using vector error correction model (VECM).The empirical results indicated evidence of long run relationship among the variable of interest in the study and in all there is a positive impact of exchange rates management policies on economic growth of Nigeria.Another finding from the Granger causality test confirms a unidirectional short run causality that runs from real effective exchange rate (REER) to economic growth (RGDP).In addition, unidirectional causality that runs from oil price (OPR) to real interest rate (RIR) in Nigeria also exists.However, the need for policy intervention to review and correct the foreign exchange market segments distortions is highly recommended.Again, the Nigerian economy needs a standard set of export base diversification from its mono cultural oil export in order to boost the foreign exchange earnings of the Nigerian economy.
Linguistic Construction of Ethnic Borders. A cura di Peter Rosenberg, Konstanze Jungbluth e Dagna Zinkhahn Rhobodes

Review of  Linguistic  Construction of Ethnic Borders . Ed. by Peter Rosenberg, Konstanze Jungbluth and  Dagna Zinkhahn Rhobodes
Pemanfaatan Google Classroom Sebagai Sistem Pendukung Pembelajaran Daring di Desa Pekan Bilah

The purpose of implementing this Community Partnership Program (PKM) is to provide knowledge in utilizing Google Classroom as a support system for online learning activities in Pekan Bilah Village. The method used in this activity is the direct method, where the team directly provides training to the participants in Pekan Bilah Village, in utilizing Google Classroom as a support system for online learning activities. The results achieved from this program are 78% of the participants are able to use Google Classroom in learning activities. Keywords: Google Classroom, Learning, Online
Upaya Meningkatkan Hasil Belajar dan Aktivitas Siswa Menggunakan Cooperative Learning Tipe Jigsaw di Kelas IV Sekolah Dasar

The purpose of this research is to improve the learning results and activities of students in mathematics subjects namely grade IV SD Negeri 199 Palembang with Cooperative Learning Type Jigsaw model. Researched using class action research methods. The problems in this study are whether the use of The Jigsaw Type Cooperative Learning model can improve the math learning outcomes of grade IV students of SD Negeri 199 Palembang and how students activity towards the use of Cooperative Learning Model Type Jigsaw used by researchers. The subject is a student in a class of 28 people. The data collection techniques used are tests and observations. Data obtained by the average result was 61.8 at the time before the improvement, an increase of (15.5%) to 71.4 in cycle I, and up again (22.9%) 87.7 in cycle II. Meanwhile, student activity in cycle I is 57%. increased to 93% in cycle II.
日本語教育における授業改善のための工夫 ― アクティブ·ラ-ニング型授業(Active Learning-based instruction：AL)の質の向上を中心に ―

In this study, the important point of learner-centered education is the introduction and operation of a new teaching and learning method, that is, Active Learning-based instruction (AL:AL-type class).As a part of the AL-type class practice strategy, I tried to concretely implement Collaborative learning in the subject of . And as an AL-type class, it was possible to describe the procedure of Flipped Learning. As a result, in the course of the AL-type class, a Rubric evaluation and Reflection/SRN course were required, and an example of a rubric for evaluating the subject was able to be proposed.Through such analysis and instructional practices, the quality of AL-type class is expected to improve.In addition, in implementing the , it is necessary to examine the improvement of the class according to the characteristics of the subject, the affective characteristics and needs of the learners. For example, it reflects the results of the Learning Strategy Test (MLST) provided by the Center for Teaching & Learning (CTL). Teaching the learners according to their characteristics will be helpful in practicing AL-type classes. This remains a task for future research.
Fast and Slow Learning in Human-Like Intelligence

In this chapter we review the extent to which rapid one-short learning or fast-mapping exists in human learning. We find that it exists in both children and adults, but that it is almost always accompanied by slow consolidated learning in which new knowledge is integrated with existing knowledge-bases. Rapid learning is also present in a broad range of non-human species, particularly in the context of high reward values. We argue that reward prediction errors guide the extent to which fast or slow learning dominates, and present a Complementary Learning Systems neural network model (CTDL) of cortical/hippocampal learning that uses reward prediction errors to adjudicate between learning in the two systems. Developing human-like artificial intelligence will require implementing multiple learning and inference systems governed by a flexible control system with an equal capacity to that of human control systems.
PENGEMBANGAN APLIKASI LAPORAN EKSTERNAL DENGAN METODE RAD PADA UNIT REKAM MEDIS RSU JATI HUSADA KARANGANYAR

Hospitals are one form of organization engaged in the field of health services where in every hospital patient service activities must be recording and reporting. Broadly speaking, the type of hospital reporting is divided into  2, namely internal and external reporting of hospitals. Internal reporting of the hospital is tailored to the needs of the hospital. Internal hospital reports include all records of results of activities undertaken by the organization. This report is created and utilized by the hospital itself. The purpose of this research is to develop the system, by making application of reporting system for Karanganyar District Health Office at Jati Husada Karanganyar general hospital medical record unit, using RAD method. The process of identification of needs, initial design until the improvement of the system design, took place quite smoothly, because the officers on the medical record unit is quite interactive and open, so the user’s desire easily translated by researchers. Disadvantages of this application is the user is expected to master the language of mathematical relation logic used for age groups so this application can interpret to the algorithm language PHP. The determination of the diagnosis block name is made in array or array, where each diagnosis must be separated by a comma (,) so that if the user does not understand this it will be difficult in operation, if there is an external reporting data format.
번역가 문체의 코퍼스 주도적 연구 - ‘as if’ 비유 번역을 중심으로 -

This paper looks into the translator’s style by examining two translators’ translation patterns found in their Korean translations of three English fictions each. The corpora compiled for the current study are comprised of translator Lee Inkyu’s translation corpus and translator Kim Oksoo’s translation corpus. Through the ‘n-gram’ analysis, the most frequent words (MFWs) in the English texts were identified. Among the identified MFWs, ‘as if’ comparisons were chosen to be examined closely. Then the corresponding words and contexts to the ‘as if’ comparisons were extracted from the translator corpora, and the n-gram analysis for the newly compiled translation corpora followed. Consistent patterns were observed in the two translators’ multiple translation texts. The stylistic features found for each translator in this study can be used in translator attribution analysis: 1) when one or more of the two translators in question is considered to be the probable translator of an anonymously translated text and 2) by comparing the translator(s)’s stylistic traits with the anonymously translated text.
Modern Professional Orientation Work and Features of Its Introduction in Modern School Education

This article is devoted to the problem of the formation of readiness of the junior pupils to the realized choice of the future trade such as “the man–engineering”. The method of the technique professional orientation of the junior pupils was modified with the help of the usage of the modular approach (motivated, information, diagnostic, projective). According to the result of the factor analysis, the most sensitive indicator of the preliminary professional choice is determined by “the realization”. The interpretation of the result received in the course of experimental research allows us to compare the pedagogical condition of the professional orientation and its efficiency. Key words : “Readiness of the junior”, “professional orientation”, “parameters of an estimation of efficiency of professional orientation”, “adequacy of a choice technique of a trade”, “referent of the factor of a choice technique of a trade”
Landsat 8-Based Surface Temperature Anomaly and Hydrocarbon Prospectivity: A Study in Part of Assam–Arakan Fold Belt, North East India

Subsurface hydrocarbon reservoirs act as effective thermal barriers to the Earth's heat flow from the interior to the surface.As a result, a positive thermal anomaly below a hydrocarbon reservoir and a negative thermal anomaly on the surface above the reservoir are observed.The use of remote sensing satellite images is a rapid, cost-effective and accurate method of determining land surface temperature of a region.The present study uses recent Landsat 8 operational
Design Ontology Supporting Model-based Systems-engineering Formalisms

Model-based systems engineering (MBSE) provides an important capability for managing the complexities of system development. MBSE empowers the formalisms of system architectures for supporting model-based requirement elicitation, specification, design, development, testing, fielding, etc. However, the modeling languages and techniques are quite heterogeneous, even within the same enterprise system, which creates difficulties for data interoperability. The discrepancies among data structures and language syntaxes make information exchange among MBSE models even more difficult, resulting in considerable information deviations when connecting data flows across the enterprise. For this reason, this paper presents an ontology based upon graphs, objects, points, properties, roles, and relationships with entensions (GOPPRRE), providing meta models that support the various lifecycle stages of MBSE formalisms. In particular, knowledge-graph models are developed to support unified model representations to further implement ontological data integration based on GOPPRRE throughout the entire lifecycle. The applicability of the MBSE formalism is verified using quantitative and qualitative approaches. Moreover, the GOPPRRE ontologies are generated from the MBSE language formalisms in a domain-specific modeling tool, MetaGraph in order to evaluate its availiablity. The results demonstrate that the proposed ontology supports both formal structures and the descriptive logic of the systems engineering lifecycle.
Ringing conditions, durability life and sound quality of church bells

Bells are musical instruments exposed to severe loading and stress conditions during ringing. The impact of the clapper leads to local wear with material abrasion and high stresses with possible fatigue cracks. Such damages may only be identified based on tone shifts and increased damping, when they have already propagated to large dimensions. Consequently repair such as welding or even re-casting become necessary. Here procedures for the fatigue life evaluation of bells are presented based on investigations of at least more than 300 culturally and historically important bells in Europe. From those investigations the most important conclusion is, that each bell is unique in its structure and its setup for ringing and has to be evaluated individually. Thus recent research aimed on a very early crack detection. Then changes of the sound are still very small, so that the musical quality of the bell may not be impaired.Then still measures can be taken to stop the crack propagation at this early stage without severe repair and the bell continues to ring. Recent research concentrates on the design of the sound of the bell based on the parameters by which the bell setup is defined and the stress conditions are determined.KEYWORDSBELL, RINGING, SOUND, FATIGUE CRACK, WEAR, LOADING, SIMULATION,MEASUREMENT, MONITORING
P. N. Shankar (1944–2019)

We were dismayed to learn that our dear colleague and friend, P. N. Shankar, passed away on 15 April 2019. Shankar had been unwell for some time, and unable to be his usual effervescent self.
Research Guides: Standards and Codes at CU Boulder: Find Building Codes

In this guide, you'll find information about standards and codes at CU Boulder and how to find them; standards issuing organizations, including those that provide free access; as well as how to obtain standards not held by the Libraries.
Model Selecting PSO-FA Hybrid for Complex Function Optimization

Swarm intelligence is inspired by natural group behavior. It is one of the promising metaheuristics for black-box function optimization. Then plenty of swarm intelligence algorithms such as particle swarm optimization (PSO) and firefly algorithm (FA) have been developed. Since these swarm intelligence models have some common properties and inherent characteristics, model hybridization is expected to adjust a swarm intelligence model for the target problem instead of parameter tuning that needs some trial and error approach. This paper proposes a PSO-FA hybrid algorithm with a model selection strategy. An event-driven trigger based on the personal best update makes each individual do the model selection that focuses on the personal study process. By testing the proposed hybrid algorithm on some benchmark problems and comparing it with a simple PSO, the standard PSO 2011, FA, HFPSO to show how the proposed hybrid swarm averagely performs well in black-box optimization problems.
PERSPEKTIF ASURANSI BENCANA DI INDONESIA

Indonesia is a disaster-prone country as evidenced by the epicenter of the earthquake in Indonesia as well as the Indonesian seismicity map, when viewed from the number of incidents and the number of victims of disasters from year to year always increasing, further aggravated by economic losses resulting from the disaster. This is what underlies the existence of disaster insurance in Indonesia where with state disaster insurance can reduce the cost of building infrastructure again but until now disaster insurance has not been made even though there are planned for now, more directed towards insurable state assets. The above problems will be analyzed through several data sets, both observation, interviews and data references. Where the analysis uses Nvivo tools to facilitate and assist in data processing. The results of this study are especially Perspective influenced by several variables, namely Literacy, Mitigation and insurance guarantees in the community school.