Reviewerly/exHarmony huggingface dataset:
Local Wisdoms Based-English Varieties: A Study on the Development of ICT-Based Learning Materials-Development Model

English with global phenomena in its function as a communication language, (Lingua Franca or ELF), has the consequent emergence of English varieties. The existence of this variety as a result of the diversity of speakers who have mother tongue (L1) differs geographically-demographically also. These varieties occur minimally in the aspects of the lexicon, grammar, and phonology. On the other hand, aspects of local wisdoms (indigenous wisdoms) have the potential to produce linguistic elements. This paper is oriented to the English variety model based on local wisdoms in the development of information technology-assisted learning materials for secondary schools (SMP). A number of potential components of local wisdoms, such as; (1) Customary Ceremonies, (2) Cultural Heritage, (3) Natural Tourisms, (4) Traditional Transportation, (5) Traditional Games, (6) Cultural Infrastructure, (7) Traditional Clothing, (8) Cultural Heritage, ( 9) Museums, (10) Cultural institutions, (11) Arts, (12) Cultural villages, (13) Arts and crafts, (14) Folklore, and (15) Children's puppets, particularly in Lombok island area becoming English learning materials for junior high schools. In the framework of implementing the 2013 curriculum effectively, this elaboration refers to regulations of Permendikbud on Curriculum 2013, Basic Competencies of Curriculum 2013, Review of Curriculum Policy in Language Subjects, Main Thoughts and Recommendations on English Curriculum 2013, and Analysis of Content Standard of English subject for junior high school and senior high school. This is also strengthened by involving relevant institutional elements and the association of teacher council through MGMP (Musyawarah Guru Mata Pelajaran). Then, materials related to information technology must involve experts in the field of Information Technology and Computer Science who have competence in so-called field. This is done by looking at the diversity of local wisdoms through translation from the first language (Indonesian/regional) to the target language (English). In the process of language translation, the theory that is referred to is the theory of Larson (1998), Meaning-Based Translation which is about the features and relations of semantic components as characteristics possessed by all languages, which consist of; Objects (Nouns and Pronouns, Events (Verbs), Attributes (Adjective and Adverb) and Relations (Conjunctions, Prepositions, Articles, Enclitics, etc.). While in relation with jargon and technical terms, this paper refers to Wuster (1979) theory views that the size of the translation of messages between two languages is based on the characteristics and concept of the message from the elements of meaning.
Fuzzy Based Adaptive Anisotropic Diffusion Despeckling Filter

Echocardiography is an ultrasound of the heart for the assessment of cardiac structure and function. Images obtained from the ultrasound suffer from a speckle Noise. Speckle is an inherent multiplicative noise which affects the visual perception by discriminating the fine details in the echocardiography. Speckle removal is important step to improve the visual quality of the echocardiography for better diagnosis. Anisotropic diffusion is one of the popular techniques to despeckle the ultrasound image in recent times. In this paper, we propose a fuzzy based adaptive anisotropic diffusion despeckling filter to despeckle echocardiography ultrasound image. The results show that fuzzy diffusion when combined with adaptive anisotropic diffusion filter gives better performance compared with existing despeckling filters.
Video content analysis using the video time density function and statistical models

As an interesting, meaningful, and challenging topic, video content analysis is to find meaningful structure and patterns from visual data for the purpose of efficient indexing and mining of videos. In this thesis, a new theoretical framework on video content analysis using the video time density function (VTDF) and statistical models is proposed. The proposed framework tries to tackle the problems in video content analysis based on its semantic information from three perspectives: video summarization, video similarity measure, and video event detection. In particular, the main research problems are formulated mathematically first. Two kinds of video data modeling tools are then presented to explore the spatiotemporal characteristics of video data, the independent component analysis (ICA)-based feature extraction and the VTDF. Video summarization is categorized into two types: static and dynamic. Two new methods are proposed to generate the static video summary. One is hierarchical key frame tree to summarize video content hierarchically. Another is vector quantization-based method using Gaussian mixture (GM) and ICA mixture (ICAM) to explore the characteristics of video data in the spatial domain to generate a compact video summary. The VTDF is then applied to develop several approaches for content-based video analysis. In particular, VTDF-based temporal quantization and statistical models are proposed to summarize video content dynamically. VTDF-based video similarity measure model is to measure the similarity between two video sequences. VTDF-based video event detection method is to classify a video into pre-defined events. Video players with content-based fast-forward playback support are designed, developed, and implemented to demonstrate the feasibility of the proposed methods. Given the richness of literature in effective and efficient information coding and representation using probability density function (PDF), the VTDF is expected to serve as a foundation of video content representation and more video content analysis methods will be developed based on the VTDF framework.
IAG Membership Information

Geostandards and Geoanalytical ResearchVolume 44, Issue 4 IAG Membership Information Free Access IAG Membership Information First published: 27 November 2020 https://doi.org/10.1111/ggr.12277 AboutPDF ToolsRequest permissionExport citationAdd to favoritesTrack citation ShareShare Give accessShare full text accessShare full-text accessPlease review our Terms and Conditions of Use and check box below to share full-text version of article.I have read and accept the Wiley Online Library Terms and Conditions of UseShareable LinkUse the link below to share a full-text version of this article with your friends and colleagues. Learn more.Copy URL Share a linkShare onEmailFacebookTwitterLinked InRedditWechat No abstract is available for this article. Volume44, Issue4December 2020 RelatedInformation
Algorithm of Three-Party Combined Judgment Analysis Engine for Earthquake Early Warning System

Thus far, it has been impossible to predict earthquakes accurately, and the best approach so far provides earthquake early warnings by analyzing earthquake information and disseminating warnings rapidly.Earthquake early warning systems (EEWS) must be able to observe P waves (tremors) that spread at a relatively rapid rate, preemptively warn of the risk of damage from the S waves that will subsequently arrive, and prompt residents to evacuate immediately.South Korea's current EEWS can issue earthquake warnings within 25 s of observing the first P wave.For earthquakes occurring inside the observation network, the epicenter positional error is aimed at within 5 km and the magnitude error within ±0 .5 km.For further development of the EEWS used in South Korea, it is first necessary to construct a more rapid, accurate, and stable system by employing scale formulas that determine the scale of the P wave earthquakes using domestic earthquake data.To this end, P wave observations must be performed within 5 s of the occurrence of the earthquake.Existing EEWSs usually use a one-party combined judgment method to predict earthquakes.A seismograph is installed only at one location within a building, and this can lead to judgment errors.In the future, it will be necessary to minimize judgment errors through the stabilization of the EEWS and to perform multi-faceted studies that allow rapid and accurate earthquake judgments to be made.To resolve these problems, this study proposes a new three-party combined judgment method which can determine whether an earthquake is occurring within a maximum of 5 s after vibrations occur by selecting three major comparison patterns for earthquake detection, reprocessing dual sensors as triple sensors, and making sub-judgments and final judgments.
Coherent Control of Rare-Earth Ions in On-Chip Devices for Microwave-to-Optical Transduction

Entangling microwave and optical photons is essential to harness disparate technologies for building larger scale quantum networks. We demonstrate coherent microwave-to-optical transduction using a nanobeam waveguide containing rare-earth ions in a dilution refrigerator.
Sentiment Neural Network(SNN)-for Knowledge based Recommender System

Recommendation systems play a crucial role in e-commerce by recommending products that suit for the consumers also providing exact information to users. For the past few decades, researchers used many machine learning techniques on recommender system. In recommender system ML based algorithms providing a better detection of user preferences, item features and users-items. In this way deep learning play an increasingly vital role in review recommender systems, since they used a bunch of discrete values for review. However, a problem arises regarding that feedbacks. Discrete values are those which are hard to describe user’s interests. This problem makes it impossible to specifically model user’s choice for recommendation. Purpose of this paper is to introduce a new novel SNN (Sentiment Neural Network) framework for effective recommendation system. SNN frameworks consider two phases. In first phase of SNN framework, this work introduces NLP techniques for converting unstructured data into structured data. This technique includes pre-processing data, feature extraction, word scoring, polarity classification and sentiment analysis. The second phase of SNN framework used for verifying the polarity classes with the real world examples. SNN structures are not only among the best models with reference to prediction accuracy, they also consider the weighting factor on classifier to reduce the training time. A novel Sentiment Neural Network along with knowledge recommender system is suggested for review features extraction, text classification and analyzing review features in the various domains.
Workshop Media Pembelajaran Atraktif berbasis Power Point Audio Visual di Madrasah Ibtidaiyah Muhammadiyah Parakan Karanganyar

The aims of this community service was to provide knowledge and skills on how to make a good and interesting PowerPoint (PPT) slide. In addition, this community service also aims to provide a skill to make an educational game, and to make a teaching material from PPT by including audio and viisual. The community service at Madrasah Ibtidaiyah Muhammadiyah Parakan (MIM Parakan) Karanganyar, Central Java was attended by the principal and twenty seven teachers. Before doing this community service, there are various preparations such as; ask for permission from the faculty to carry out activities, then give service permits to partner schools, prepare various needs and carry out activities that have been coordinated between the team and the partner schools. This activity was very enthusiastically followed by teachers at MIM Parakan..
Secure Content De-Duplication Utilizing Efficient Content Discovery and Preserving De-Duplication (Ecdpd)

Cloud computing, an efficient technology that utilizes huge amount of data file storage with security. However, the content owner does not controlling data access for unauthorized clients and does not control data storage and usage of data. Some previous approaches data access control to help data de-duplication concurrently for cloud storage system. Encrypted data for cloud storage is not effectively handled by current industrial de-duplication solutions. The deduplication is unguarded from brute-force attacks and fails in supporting control of data access .An efficient data confining technique that eliminates redundant data’s multiple copies which is commonly used is Data-Deduplication. It reduces the space needed to store these data and thus bandwidth is saved. An efficient content discovery and preserving De-duplication (ECDPD) algorithm that detects client file range and block range of de-duplication in storing data files in the cloud storage system was proposed to overpower the above problems.Data access control is supported by ECDPD actively. Based on Experimental evaluations, proposed ECDPD method reduces 3.802 milliseconds of DUT (Data Uploading Time) and 3.318 milliseconds of DDT (Data Downloading Time) compared than existing approaches
Evidence for a Variable Silicate Weathering Feedback

The rate of volcanic degassing, and therefore the input of carbon to Earth's oceans and atmosphere, has varied through time.Therefore, maintaining habitable conditions and balancing the exogenic carbon cycle over geologic time necessitates negative feedbacks between atmospheric CO2 and processes controlling the output fluxes.Continental silicate weathering and subsequent carbonate burial in the ocean, the primary output flux of carbon, has been hypothesized to impose such a negative feedback [1] and thus may be central in moderating the long-term carbon cycle over Earth history [2].There still remains significant uncertainty in how the silicate weathering feedback has varied through time because: 1) modern solute flux observations are difficult to scale globally and require a space-for-time substitution using relationships with temperature and/or hydrologic changes [e.g., 3, 4], and 2) geologic carbon cycle models are primarily constrained by isotopic datasets rather than mass fluxes [5].In this contribution I summarize evidence demonstrating that weatherability, the global silicate weathering flux at a given atmospheric CO2 level, and feedback strength, the slope of the weathering flux versus CO2 relationship, have both varied over geologic time due to the evolution of land plants, as well as paleogeography and subaerial lithologic variations.Here, I use timeseries observations of modern river chemistry [4] and reactive transport models [6] to infer the solution space for a variable silicate weathering feedback [e.g., 5, 7] as influenced by land plant evolution and lithologic changes.These relationships help place constraints on feedback parameterization used in the modeling of both the long-term (>1 to 100s of Myr) carbon cycle as well as the response of the system to short term (100s of kyrs) pertubations.
DIRECT METHOD AND INDIRECTNESS METHOD: COMMUNICATION STRATEGY IN CARTOON

Cartoons are not only seen as a media channel to provide entertainment to the community. This is because cartoons play an important role as a very effective medium of information delivery to all groups. The message in the cartoon is conveyed either through the language use and illustrations or mere illustrations from a cartoonist. The display of illustrations with the language used in cartoons in the press indirectly brings current issues in various aspects. Even though these illustrations can help stimulate one's ideas and maturity in evaluating a message. The purpose of this study is to examine language use as a communication strategy in cartoons and describe the use of direct and indirect methods in cartoons. As such, the use of language as a communication strategy is examined based on the language use used in cartoons, namely the language use through direct methods and indirectness methods. The study was conducted qualitatively through a descriptive approach. Study data were taken and collected from cartoons or illustrations produced by Maro cartoonists in the Malaysia Kita column, Mingguan Malaysia. The illustration taken as study data is an illustration that gives an overview of the current situation of the country in Mingguan Malaysia every Sunday for the July and August issues in 2019 and August 2020. Data analysis is done through an approach that presented by Asmah Hj Omar through research on the language use through indirectness methods and the language use through direct methods. The results of this study can be observed that the cartoon in the newspaper clearly shows that there is an emphasis on these two methods as a communication strategy used through language use as a way to ensure that the message conveyed can be understood by all parties. Thus, language use through this indirectness method is the main choice in the delivery of storytelling through cartoons. The study of language on cartoon illustrations needs to be given a wider focus because there are still many vacancies that need to be examined.
Firms Debt Structure and Shareholder Returns: Moderating Role of Foreign Director of Multinational Companies in Nigeria

Financing decision is one of the important areas in managerial finance to increase shareholders' wealth.Firms can use either debt or capital to finance their business.This study uses two-stage least squares model and examines the impact of foreign directors as moderating variable on the relationship between firm debt structure and shareholders' returns of quoted multinational firms in Nigeria.Secondary data were extracted from the annual reports of six (6) most active quoted multinationals firms on the Nigerian Stock Exchange for the period 2006 to 2018.After running the OLS regression, a robustness test was conducted for validity of statistical inferences.A multiple regression was employed using PCSE regression model and FGLS regression model respectively for model one and two.The study documents in model one that debt to total asset has a positive and significant effect on shareholder returns while debt to equity and debt to turnover have negative and significant effect on shareholders returns though foreign director has no significant impact of shareholder returns.The model two, revealed the moderating role of foreign director, where the debt to equity has a positive and significant effect on shareholder returns while debt to turnover revealed a negative and significant effect on the return to shareholder funds.Though, debt to total asset has no significant effect on shareholders returns.In line with the findings, the study recommended that board of directors of the study firms should ensure that listed multinationals firms in Nigeria should appoint foreigner in their board composition so that the interest of various shareholder's would be fully protected by avoiding unnecessary debt and proper management of the company debt file and sales improve upon their turnover and reduction of unnecessary cost.
Cloud platform load balancing based on bee colony algorithm

In order to shorten the time needed to execute tasks in cloud system and maximise the utilisation of available resources in the system, this article proposes the cloud platform load balancing design under the background of bee colony algorithm (ABC algorithm). First of all, puts forward the designed mathematical model and then gives the basic algorithm of load balancing based on bee colony algorithm. In addition, in the design of the process, three experiments are respectively carried out. The first set of experiments results show that the result is stochastic and stable and the system overhead will affect the system performance; the second set of experiments results show that there is the presence of outliers, algorithm can guarantee the system to complete the system task implementation within a limited time and the system consumption continuously rises; the third set of experiments results show that the algorithm has stability and independence and the algorithm has stable efficiency in the range that the virtual machine can withstand; if it exceeds the range, the results will be unstable. Overall, the ABC algorithm has an effective implementation effect.
PROTOTIPE SISTEM INFORMASI TUNTUNAN PERJALANAN WISATA DI PROVINSI BALI

E-Tourism is a digital platform that connects all tourism stakeholders, and integrates all tourism activities and makes it easy for all travelers to explore tourism charms by accessing applications without being tied to places and times. In Indonesia especially in Bali the development of E-Tourism can be very good. Many sites are available on the internet to be a medium of information and tourist accommodations booking media. In addition, many government and private sites also play a role in the process of providing tourist information, but these sites can be said to be static and simple. These providers only provide text information without prioritizing responsiveness and interactivity to the users.Responsiveness and interactivity are two issues in today's tourism sites. The existing tourism sites in Indonesia are still lacking in responding to the needs or questions of the users and also the interactive functions on the site are felt to be less than satisfactory. Users are only provided an information in the form of photographs and writings about a tourist attraction. Users never know where places can be visited with approximate time, location recommendations, routes and schedules that adjust to user needs. Refers to the problems,we develop an application that able to give recommendation and guidance of tour in Bali area.The system is made on the main needs that have been defined that the system is able to provide travel recommendations. After testing with black box model, the result of the system has been able to meet the needs of the user and provide travel recommendations in accordance with the needs of the user where the travel time-limited, category of place, place of the beginning of the journey and the final place has been fulfilled. The system has given the suitable recommendations based on the criteria that the user wants.
Indonesia's Interference in Translating Texts into English Texts

This research is aimed: (1) to reveal that interference of bahasa Indonesia interrupt when the students at the sixth semester of FKIP in Muhammadiyah University of Mataram translate the English narrative past tense text; (2) to know the kinds of factors interupted the students’ in translating English narrative the text. The population of study were students in FKIP Muhammadiyah University of Mataram. They consist of three classes from class A to C. The number of population were 64 students so, the writer took only the 17 students to be sample, by using purposive sampling technique. The results of research showed that: (1) among 17 students in class A do some intereferences, they have less ability to construct the translation target text into the accuracy, acceptable and understandable/readable sentences by the reader. Moreover, there are two main Indonesian interference found by the researcher, they were morphological interference by misunderstand of using past tense sentences and sintactical interference by unstructural sentence in the target text, (2) The students’ only could get the range from 4 score to 8 score, where 5 students get very poor, 4 students get poor, 2 students get fair, 3 students get fairly good, 3 students get good. The students’ translation percentage for each standard such as accuracy is 16,5%, acceptable is 10,11%, readability is 5,47% and for total all of students’ mean score is 51,9%, where it took on poor score of translation (3) There are 4 factors made the students difficult to translate the target text, they were 1. Disloyalty of the speakers and receiver 2 Insufficient of vocabulary in translating the source language into target language, 3. The prestige of the source language and style, 4. Daily habits in the mother tongue influence target text, (4) The students’ translations result are 6 students got score of 0-3 namely very low level, 6 students got score of 5,5-6,5, who categorized as the low level, 2 students got the range score of 6,6-7,5, who categorized “sufficient level”, there are 3 students got this “high level” with the range score of 7,6-9,5, and no one getting the “highest level” score in the range of 9,6-10.