Reviewerly/exHarmony huggingface dataset:
Penerapan Pendekatan Contextual Teaching And Leaning (Ctl) Untuk Meningkatkan Hasil Belajar Matematika Siswa Kelas V Sd Negeri 188 Pekanbaru

This research is caused by low study outcome mathematic lesson student class fifth grade students state elementary school 188 Pekanbaru. The purpose of this research is to improve learning outcomes subject Mathematic fifth grade using Contextual Teaching and Learning Approach. Object of this research is student class fifth grade amount 34 person. Metode of this research using Classroom Action Research (CAR),was carried out in two cycle. The result of research mathematic learning outcomes is increase. Activities of teacher in the first meeting of first cycle of the percentage 75%, the second meeting of first cycle had become 84,14% . Furthermore, the first meeting of the second cycle activity score of 89,28% of teacher increased, the second meeting increased to 92,85%. The result of analysis student activity in the first cycle to 71,42%, 75% in the second meeting increased the student already understand this cycle of learning activity with Contextual Teaching and Learning (CTL) approach. The second cycle student activity increased 82,14%. At the second meeting increased to 89,28%.. The results showed that the average value of learning outcomes mathematic subjects in the basic score is 71,02 and 76,17 in the first cycle, and the second cycle get 80,58 score. Based on the results of this study is concluded that the Contextual Teaching and Learning approach can improve learning outcomes Mathematic subject of fifth grade students state elementary school 188 Pekanbaru.
Website Redesign Request for Proposal

Recovery Dharma is issuing a request for proposals to redesign and modernize our website and related digital assets. Our goal is to modernize the look ...
Strengthening Community Economy Inclusively through Literacy for Prosperity

The term literacy continues to evolve from time to time according to the conditions of a society. At first, UNESCO in 1997 concluded that literacy is the ability to identify, understand, interpret, communicate, and count using printed or other materials, but the meaning of literacy is much more than that, which in the end a literate community can produce something that is beneficial to individuals or society. Therefore, the prosperity of a society can be seen from the number of literate people. National Library of Indonesia has recorded it in the concept of literacy for prosperity in the Social Inclusion-Based Library Transformation program. One of the programs carried out is for the prosperity of the literacy-based economic community that also aims to support SDGs. Until now, the National Library of Indonesia has succeeded in bringing about a positive impact on the community's economy with the concept of as well as support for SDGs. In the future, there are still many things that must be researched by the National Library of the Republic of Indonesia regarding literacy for inclusive prosperity.
Intelligent Translation Memory Matching and Retrieval with Sentence Encoders

Matching and retrieving previouslytranslated segments from a TranslationMemory is the key functionality inTranslation Memories systems. Howeverthis matching and retrieving processis still limited to algorithms based onedit distance which we have identifiedas a major drawback in TranslationMemories systems. In this paper weintroduce sentence encoders to improvethe matching and retrieving processin Translation Memories systems - aneffective and efficient solution to replaceedit distance based algorithms.
Debts, Money, Intellectual Property, Data and the Concept of Dematerialised Property

JIPITEC 11 (2020) 2 - Debts, (electronic) money, intellectual property, and, in principle, data and digitised objects (if ownership rights are to be recognised for these), can be conceptualised as versions of the general principle of dematerialised property. This article discusses first the concept of dematerialised property and its application to debts, money and intellectual property. Then it deals with the idea of ownership of data within traditional property concepts. While data ownership can theoretically be accommodated fairly easily within the framework of dematerialised property, there are several reasons, both theoretical and from a legal policy perspective, which make the introduction of data ownership modelled upon conventional (intellectual) property rights problematic.
Multi-Swarm Harris Hawkâ??s Optimization

In this paper, the performance of a multi- swarm Harris Hawk’s Optimization algorithm is reported on a set of benchmark functions provided by CEC2005. In literature, any multi-swarming technique has not been applied to Harris Hawk’s Optimization. In this algorithm, the population is designed to include a number of swarms. All the swarms follow the original algorithm of HHO; however, agents from different swarms are regrouped frequently. Regrouping is performed using random permutation and the global best among all the swarms is considered as Rabbit or Best Solution so far, after iteration. Results show significant improvements in benchmark functions
PENGEMBANGAN MEDIA PENDIDIKAN UNTUK INOVASI PEMBELAJARAN DI PESANTREN

The increasingly dynamic development of information technology has implications for the world of education, especially learning activities. One of them by using media for helping the easy learning process that is very receive as benefit. Learning media can enhance student learning help to create joyful learning. But is not all learning media that can be applied in every learning environments, because learning media has advantages and disadvantages in several aspect. For the example is classical learning methods such as wetonan and bandongan become a characteristic teaching and learning activities in pesantren. Because of that, require a efforts to develop educational media suitably with the learning and the needs of students. Learning media development procedures iclude are potential and problems, data collection, product design, design validation, revision, small-field trials, revision, large-field trials, revision, massive production.
Fiserv Forum, Miller Park to serve as in-person, drive-thru early voting sites in general election

City leaders announced on Monday, Aug. 31 new in-person and drive through early voting sites for the 2020 General Election.
AuScope Geothermal Demonstrators - Gunnedah, New South Wales, Australia

AuScope aims to establish world-class research infrastructure to enable the characterisation of structure and evolution for the Australian continent. AuScope's Simulation, Analysis and Modelling capability makes it possible to draw together geological data-products and analysis software, for the purpose of developing quality scenario models.This allows researchers to test geological hypotheses and to answer large-scale “what-if ” questions relevant to Australia’s geological resources.This 2010 demonstrator an example what-if scenario. The model below shows the geothermal potential of New South Wales' Gunnedah basin combining information from over 150 exploration holes, and all available geophysical data. It shows the temperature of the Lachlan-foldbelt basement beneath the thick sedimentary cover of particular interest to Dr Craig O’Neill's research group. The demonstrator embeds a 3D model into the pdf, to enable interaction.
Analysing Reading Skill in National Plus School Curriculum: Phonological Awareness of Young Learners

This research aims to analyse reading skill of English for young learners in SES national plus school which teaches their classes using full Indonesian or full English. The researcher used phonological awareness test to determine the students’ ability to switch between the two languages. 63 young learners from the selected school were tested to find out the nature of their awareness when it comes to the reading tasks. This study used central tendency measures of descriptive statistics to summarise and describe the data. The results indicate that the respondents displayed phonological awareness in some tasks and experienced difficulties in other tasks. Various deficits in phonological awareness of the bilingually educated young learners were observed and categorised as Initial Sound Identification, Final Sound Detection, Final Sound Detection and Letter Identification
Resilience Analysis for Double Spending via Sequential Decision Optimization

Recently, diverse concepts originating from blockchain ideas have gained increasing popularity. One of the innovations in this technology is the use of the proof-of-work (PoW) concept for reaching a consensus within a distributed network of autonomous computer nodes. This goal has been achieved by design of PoW-based protocols with a built-in equilibrium property: If all participants operate honestly then the best strategy of any agent is also to follow the same protocol. However, there are concerns about the stability of such systems. In this context, the analysis of attack vectors, which represent potentially successful deviations from the honest behavior, turns out to be the most crucial question. Naturally, stability of a blockchain system can be assessed only by determining its most vulnerable components. For this reason, knowing the most successful attacks, regardless of their sophistication level, is inevitable for a reliable stability analysis. In this work, we focus entirely on blockchain systems which are based on the proof-of-work consensus protocols, referred to as PoW-based systems, and consider planning and launching an attack on such system as an optimal sequential decision-making problem under uncertainty. With our results, we suggest a quantitative approach to decide whether a given PoW-based system is vulnerable with respect to this type of attack, which can help assessing and improving its stability.
Editorial for New TDMR Editor Byoung Woon Min

I would like to introduce Dr. Byoung Woon Min as a new TDMR Editor. Dr. Min is going to support TDMR in the topic of memories and advanced semiconductor devices technologies.
Research on College English Online Teaching During Covid-19 Outbreak

With the outbreak of Coronavirus Pneumonia China and even the world are stepping into the Online Teaching era, which altered traditional classroom teaching.This paper analyzes the opportunities and challenges that online teaching is faced with and explores the path and experiences of college English online teaching from the perspectives of classroom activities design, teaching resources production, extracurricular self-autonomous learning activities design, assessment (mainly formative assessment), classroom management.It may provide College English educators with reference through the exploration of online teaching platform and collection of pedagogical experience.
Implementation on Efficient Data Hiding Approach on Digital Color Image for Secret communication

In this research paper I have proposed the method of an efficient data hiding approach on digital color image for secret communication. The method is applicable for confidential data transfer, secret communication, copyright protection for digital media and military purpose. Steganography process is used for this. Steganography is the process of hiding secret information behind the original cover file. This file may be audio, video or image file. In this system the digital image is taken as input image and preprocessing of input image is done with the help of MATLAB. Any noise present in image is detected and removed in the image preprocessing technique. A given input image is converted into three different planes i.e. red, green and blue plane. After the plane separation embedding process takes place. Also one password is added at the time of embedding process as well as data extraction process, so that no one can easily hack the data. Chaos algorithm is used for data encryption. After the embedding process stego image is formed. In the data extraction process we have to get back original information. So that Chaos decryption algorithm is used to retrieve secret data and cover image. The primary idea of this project is to increase data hiding capacity and reduce image quality degradation.
An efficient one-layer recurrent neural network for solving a class of nonsmooth optimization problems

Constrained optimization problems have a wide range of applications in science, economics, and engineering. In this paper, a neural network model is proposed to solve a class of nonsmooth constrained optimization problems with a nonsmooth convex objective function subject to nonlinear inequality and affine equality constraints. It is a one-layer non-penalty recurrent neural network based on the differential inclusion. Unlike most of the existing neural network models, there is neither a penalty parameter nor a penalty function in its structure. It has less complexity which leads to the easier implementation of the model for solving optimization problems. The equivalence of optimal solutions set of the main optimization problem and the equilibrium points set of the model is proven. Moreover, the global convergence and the stability of the introduced neural network are shown. Some examples including the L1-norm minimization problem are given and solved by the proposed model to illustrate its performance and effectiveness.
Master of Tickets

Many silly metrics have been created to measure work, including the rate at which tickets are closed, the number of lines of code a programmer writes in a day, and the number of words an author can compose in an hour. All of these measures have one thing in common: They fail to take into account the quality of the output. If Alice writes 1,000 lines of impossible-to-read, buggy code in a day and Carol writes 100 lines of well-crafted, easy-to-use code in the same time, then who should be rewarded?
THE RETICENCE OF STBA PONTIANAK STUDENTS IN LEARNING ENGLISH

The present study reported on the reticent factors and its behaviours demonstrated by the third-semester students of the academic year 2019/2020 in STBA Pontianak. They were all 2A1 class with 38 students majoring in English literature. Ten students were selected to be asked in interview. The study applied a qualitatively descriptive method which data were obtained from direct observation and semi-structured interview, then, being analysed in three steps. The research finding indicated that the students were reluctant to speak and remained reticent in language classroom due to three aspects, namely students factors as the most various influential factors, lecturer factors, and cultural factors. Moreover, speaking more in their native language, avoiding communication, sitting at the back and in the middle, being passive, unwilling to initiate interaction, giving a short response, relying on memorization, doing less interaction, and needing more a waited-time, were identified as reticent behaviours.
Discriminating icequakes from volcanic seismicity at Cotopaxi volcano (Ecuador)

&amp;lt;p&amp;gt;Cotopaxi volcano (5,897 m) is located in Central Ecuador, 50 km south of Quito. It has a long eruptive history including more than 70 eruptions with an estimated VEI between 2 and 4 since 1534. Its last low magnitude eruption occurred in 2015. The summit of the volcano is covered by a glacier down to about 5000 m elevation. The volcano is monitored by the Instituto Geof&amp;amp;#237;sico (IG) whose monitoring network includes permanent seismic stations. The closest station to the summit (BREF) is located 1 km below the summit (2.2 km distance), about 400 m from the base of the glacier. It is used as a reference station by the IG to characterize the seismicity. The station records transient events related to volcanic activity such as Long Period (LP) and Volcano Tectonic (VT) events, as well as icequakes (IQ) issued from the neighboring glacier. IQs may have various origins including fracture propagation or opening, collapse of ice blocks, basal friction or forced water flow within the glacier. These signals may be difficult to distinguish from VTs or LPs.&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;We examined data from station BREF recorded between January 2013 and October 2018, with the aim of identifying families of characteristic similar events. We applied a 3-step procedure including: (1) an automatic detection of transient events, (2) a classification of the detected events into families of similar events and (3) a re-composition of the temporal evolution of the largest families using matched-filtering. This procedure outlines the presence of numerous families and points out 4 characteristic temporal evolutions with respect of the 2015 eruption. These evolutions allow to distinguish precursory LP events from background seismicity and outline the presence of long lasting families which may persist for years. We use amplitude ratios calculated between BREF and a station more distant from the summit to distinguish shallow families from deeper ones. We also locate sources of long-lasting families with a seismic antenna installed at the foot of the glacier from April to September 2018. Locations indicate shallow sources below the glacier corresponding to IQs. These results confirm that background seismicity close to the summit of Cotopaxi is dominated by IQs. Temporal evolutions of these families also suggest that the large (Mw=7.8) subduction earthquake which occurred near Pedernales on April 16, 2016, 250 km from the volcano, had a stronger influence on the glacier or its shallow substratum than the 2015 eruption.&amp;lt;/p&amp;gt;
KAUSALITAS DALAM NOVEL LELAKI HARIMAU KARYA EKA KURNIAWAN

&lt;em&gt;&lt;span lang="EN-US"&gt;In Eka Kurniawan’s novel, Lelaki Harimau, incoherent story telling is one of its most visible characteristeristic. Incohorent story telling is used by Eka kurniawan not only to pique the reader interest but also to emphasise cause and effect in every action that characters do in the novel. With a theory offered by Genette, this study tries to explain the order of event in Lelaki Harimau to show the causality that Eka Kruniawan use as the core theme in his novel. This study also tries to show how structural theories can be used as a foundation to interpret novel. From the explanation of causality in Lelaki Harimau novel, it is found that violence only begets violence.&lt;/span&gt;&lt;/em&gt;
Flood Inundation Modeling Using Geomorphic Approaches, UAV, and GIS

Flood is one of the most frequently occurring natural disasters in Indonesia. At the end of 2017, Tropical Cyclones Cempaka and Dahlia formed over the Indian Ocean, inducing extreme rains and floods in some parts of Java Island. The Special Region of Yogyakarta was among the most affected areas, especially along the Oyo River section in Imogiri District. This research was designed to identify and map the flood-prone areas in the district as part of flood mitigation measures. For this purpose, The Unmanned Aerial Vehicle (UAV) technology was used to not only provide a detailed and up-to-date description but also produce aerial photographs (orthoimages) and Digital Elevation Model (DEM). These two products were inputted to the inundation modeling developed with a geomorphic approach and simulated in a Geographic Information System (GIS). In terms of accuracy, the resulting models were quite reliable for mapping on a detailed scale and only slightly deviated from the traced inundation in the field. Also, five areas (sub-village) were found with the highest vulnerability to floods, namely, Trukan, Butuh, Dogongan, Siluk Satu, and Kedung Miri.
Station Managers Global Group (SMGG) meeting held remotely on 27 April 2020 – UIC Communications

During the last SMGG meetings, members decided to regularly arrange remote meetings to monitor ongoing activities. This is an ongoing procedure which will be extended beyond the Covid-19 crisis.…
Analysis of the simulation of the natural-spatial location of the variability of the content of the qualitative indices of minerals in the array and iron ore of mines and quarries

М. В. ШОЛОХ ., канд.техн.наук, доц
Strategi Publikasi PT Kereta Api Indonesia (Persero) Daerah Operasional 1 Jakarta Dalam Menjaga Stabillitas Reputasi Perusahaan

business competition is not only measured by the level of sales and product image. However, there is another thing that is more principle, inherent, and fundamental, namely reputation. This study aims to determine the Publication Strategy of PT Kereta Api Indonesia (Persero) Operational Region 1 Jakarta in Maintaining the company's reputation stability. The focus in research is the publication strategy in terms of the aspects of publication goals, publication objectives, message content and strategic message content, impact of publication exposure, media strategy, and evaluation methods. Research with constructivism paradigm with descriptive method. Primary data were obtained from in-depth interviews with key informants, Senior Manager of Public Relations and Public Relations staff informants. The purpose of publication is education to gain public understanding of company programs and policies. The message content and strategic message content to construct messages are to convey the main basis for why the policy should be carried out, why the program must be carried out, and convey about its goals and benefits for the community; The expected impact of publication exposure is a positive image according to the community. The media strategy taken is to build personal relationships, ensure information disclosure, commitment to response speed, accommodate media data needs, and facilitate the media in publishing news;
LibGuides: Kentucky Christian University's Young Library Great Lakes Lighthouses Virtual Vacation: Welcome to our Great Lakes Lighthouse Vacation

A virtual trip in the Great Lakes area where you go on virtual tours of lighthouses and museums, read fiction and non-fiction materials about the area, explore local area favorite recipes, and watch movies about lighthouses. Introduction of our September 2020 Virtual Vacation
Alifta Ainurrochmah, Perbandinga

Classification is a technique to form a model of data that is already known to its classification group. The model was formed will be used to classify new objects. Fisher discriminant analysis is multivariate technique to separate objects in different groups. Naive Bayes is a classification technique based on probability and Bayes theorem with assumption of independence. This research has a goal to compare the level of classification accuracy between Fisher's discriminant analysis and Naive Bayes method on the insurance premium payment status customer. The data used four independent variables that is income, age, premium payment period and premium payment amount. The results of misclassification using the APER (Apparent Rate Error) indicate that the naive Bayes method has a higher level of accuracy is 15,38% than Fisher’s discriminant analysis is 46,15% on the insurance premium payment status customer.
Computational Linguistics: Text Prediction and Sentence Correction

Language in this growing technology world text became the medium to communicate socially.Even though desktop computers have existed since a long time, the method of typing and feeding input has not changed much.Versions after versions of popular text editors have come, and yet no editor has addressed the difficulty of predicting the next possible word and correction of predicted sentence.Also, predictive editors cease to exist in desktop computers even today.This paper aims to predict the next frequent word according to the trained corpus using the n-gram model and even checks the spelling of the entered word.In addition, it checks for the correction of sentence according to grammatical rules.This in proposed method it explores the use of a new software for the input on desktops, which relies on a dynamic predictive algorithm using n-grams and suffix trees to significantly reduce the effort of typing.
Corrigendum to “Multistage System-Based Machine Learning Techniques for Intrusion Detection in WiFi Network”

1], there was a missing affiliation for the second author.