Reviewerly/exHarmony huggingface dataset:
Media Informasi Imunisasi Measles Rubella (MR) untuk Anak berbasis Mobile

Many immunizations can be obtained at the Puskesmas. Still, there is one immunization thatblocks the community, namely Measles-Rubella immunization, related to communitymisunderstanding about vaccination because the news of immunization implementation thathas no relevance to the Syar' i aspects is done professionally according to technicalprovisions. Meanwhile, the application of Measles-Rubella immunization for people whoconsider aspects of halal and vaccine efficacy can sharply wait until the MUI issued a fatwaconcerning the implementation of Measles-Rubella immunization. From the data obtainedthat at least the community, especially western Javanese people who use Measles-Rubellaimmunization from the specified target. There were 878 people from 2,474 in the WestPagesangan region who participated in the Measles-Rubella immunization. MUI has issuedfatwa number 33 of 2018, stating that it agreed to allow the Measles-Rubella vaccine, whichis a product of the Serum Institute of India (SII) for the current immunization program.This guideline can be a reference for the government in implementing the Measles-Rubellaimmunization for the community so that people do not doubt the vaccine. Based on theseproblems, a mobile-based information media application was developed, which wasdeveloped based on the Luther-Sutopo concept aimed at facilitating the community related toMR immunization information for children. Based on the results of a trial or applicationtesting conducted statistically, it found that the percentage of users who agree is higher thandisagree. That is, the application provides convenience in its use as a medium of informationon the importance of Measles-Rubella immunization for children
Integrating Scrum development process with UX design flow

Nowadays, Agile software development practices are being widely adapted all over the world. Scrum is one of the most known Agile models, it satisfies the business needs and put the main focus on the product. One common challenge for the development of customer-facing products is having a good user experience. This paper presents integrating Scrum development process with user experience design flow. In this study, papers relating to the topic of user experience (UX) process integration with Agile development process, how to measure it and how to improve it, from the year 2010 onwards are reviewed. This is to identify how organizations can integrate UX design flow and Scrum development and get the benefits of both. The conducted review identifies a number of limitations in the existing integrations efforts. A proposed process model to resolve these limitations is presented. Along with our experience in implementing it on an ongoing software development project. The results of applying this process, its impact on the project outcomes quality and the employees’ satisfaction with the process are discussed. The goal of this study is to aid organizations in integrating UX design into their development process.
Fuzzy String Matching Procedure

Background: There are different methodologies for DNA comparison based on two string algorithms, which are dependent on crisp logical principles, where there is no room for verbal (linguistic) uncertainty. These are successfully applicable procedures in DNA bioinformatics researches even by taking into consideration probabilistic random variability components based on the probability distribution functions of various types. Objective: The main purpose of this paper is to review first briefly all available DNA string matching methodologies that are based on crisp logic and then to suggest a new method based on the fuzzy logic rules and application. Methods: There are different methodologies for DNA comparison based on two string algorithms, which are dependent on crisp logical principles, where there is no room for verbal (linguistic) uncertainty. These are successfully applicable procedures in DNA bioinformatics researchers even by taking into consideration probabilistic random variability components based on the probability distribution functions of various types. Results: Fuzzy number representation of each gene implies some sort of uncertainty or unhealthiness in some or all the genes. Their better identifications can be achieved on the basis of fuzzy numbers with different membership degrees, which imply the unhealthiness or healthiness of the genes and their collective behaviors. Conclusion: After the development of fuzzy number representation of the text string coupled with crisp pattern string their relationships are searched at different shift operations, and hence, the possibility of defaulters are identified in the text string with a certain degree of membership.
A Study on CoRT Program of Thinking Skills (Breadth) to Develop Expository Writing Skills among Primary Pupils

The purpose of this study is to determine the use of Cognitive Research Trust (CoRT) Program to teach expository writing for primary Year 6 students. The participants of this study comprised of 25 students who have acquired basic language skills, however they struggle to write good essays as they do not know the techniques to elaborate ideas. The data of this mix-mode study were collected through tests (Pre-test and Post-test) and interview. The test results showed that the mean score of the Post-Test was significantly higher than the mean score of the Pre-Test. The findings from the interview showed that the participants had positive response towards this intervention and it was a helpful tool to improve their writing skill. The findings strongly suggested that CoRT program could be a useful technique in assisting the teaching and learning process of writing skills.
LiveSankey: Advanced Web Visualization in Data Intelligence Multi Domain Contexts

In the last years, the growing volumes and sources of data has made Big Data technologies to become mainstream. In that sense, techniques like Data Visualization are being used more and more to group large amounts of data in order to transform them into useful information. Nevertheless, these techniques are currently included in Business Intelligence approaches to provide companies and public organizations with helpful tools for making decisions based on evidences instead of intuition. The Sankey diagram is an example of those complex visualization tools allowing the user to graphically trace meaningful relationships in large volumes of data. However, this type of diagram is usually static so they must be continuously and manually rebuilt on top of massive multivariable environments whenever decision makers need to evaluate different options and they do not allow to establish conditions over the data shown. This paper presents LiveSankey, an approach to automatically generate dynamic Sankey Diagrams allowing users to filter the data shown. As a result, multiple conditions may be established over the data used and the corresponding diagram can be dynamically rebuilt.
Implementasi Pengelolaan Perpustakaan Di Madrasah Swasta

The book collection has not been properly inventoried, student interest in reading visits is still low, supervision is carried out every 2/3 months, there is a loss of inventory of madrasa library books, the head of the library does not have staff resources. The purpose of this study is to uncover and analyze the management process including; planning, implementing, organizing, monitoring and evaluating libraries in Madrasah Aliyah Darussalam Sumedang, Indonesia. This research method is descriptive with a qualitative approach. Data collection techniques use; study interviews with the head of the library as the key informant and head of the madrasa, study documents include, book archives, library work programs, library visit books; Observation studies record library activity activities, discussion processes, weekly meetings. The results showed that; first, planning is carried out with the madrasa head at the madrasa level meeting by submitting a work program and submitting a draft budget (RAB); second, organizing is regulated based on the statement of the headmaster of madrasa no: MA.i / S / 20 / pp.006 / 001/2019 concerning the additional duties of Elyana Barbera as head of the library and does not yet have accompanying staff; third, the program implementation at the library is carried out by the head of the library, namely borrowing books, daily library services, work program socialization; fourth, supervision is carried out incidentally monthly and weekly, direct and indirect visits through work program reports to the madrasah head; an evaluation is carried out at the end of the school academic period by submitting a report on the overall madrasa library management program.
Real Time Video Enhancement using Camera Response Model

In this paper, we propose a method to enhance the quality of real time video based on Camera Response Function.Most of the existing enhancement algorithms introduce some distortion because of ignoring non linear camera process.We propose a method by taking camera response function into consideration to provide acceptable video quality.The performance of this approach is demonstrated through experimental results and measurements.Experimental results show that the proposed approach reduce the computational time cost about 60% compared with the three channel camera response curve with acceptable distortions.
Reconfigurable Asymmetric Lightweight Cryptosystem

The tremendous growth in wireless technologies and adapting nature of electronic devices, integrating together gains more popularity in utilization.Day-to-Day millions of these devices communicate in an every minute.Secure channel establishment between cloud and remotely connecting IOT devices for communication is necessity to avoid Cyber Crimes.Cryptography plays a vital rule in cyber theft.Lightweight cryptography gains more significance because of its energy requirements, memory, low cost and high security.Asymmetric lightweight cryptosystem (ALWCS) is designed which reduces the power, area and improves the security.AHLWCS is designed on Artix-7 XC7A35T-1-CPG236 reconfigurable architecture using verilog hardware description language (HDL) which is synthesized, simulated and implemented on Vivado.
Deep Learning Model for Identifying the Arabic Language Learners based on Gated Recurrent Unit Network

This paper focuses on identifying the Arabic Language learners.The main contribution of the proposed method is to use a deep learning model based on the Gated Recurrent Unit Network (GRUN).The proposed model explores a multitude of stylistic features such as the syntax, the lexical and the ngrams ones.To the best of our awareness, the obtained results outperform those obtained by the best existing systems.Our accuracy is the best comparing with the pioneers (45% vs 41%), considering the limited data and the unavailability of accurate tools dedicated to the Arabic language.
1000(binary) ways to help new, visiting, and adjunct faculty

With increasing enrollments in computing courses nationwide, many schools are hiring more computing teachers---new permanent faculty, visiting faculty, adjunct faculty, etc. Each new teacher, of co...
BGP Shortest Path Routing Extension Implementation Report

This document is an implementation report for the Shortest PathRouting Extensions to BGP protocol as defined in [I-D.ietf-lsvr-bgp-spf]. The authors did not verify the accuracy of the informationprovided by respondents. The respondents are experts with theimplementations they reported on, and their responses are consideredauthoritative for the implementations for which their responsesrepresent. The respondents were asked to only use the YES answer ifthe feature had at least been tested in the lab.
Voice Scrambling Algorithm based on 3D Chaotic Map System (VSA3DCS) to Encrypt Audio Files

Here, a proposed voice scrambling algorithm established on one of two 3D chaotic maps systems (VSA3DCS) will be presented, discussed, and applied on audio signals file.The two 3D chaotic map systems in which any one of them is used to build VSA3DCS are Chen's chaotic map system and Lorenz chaotic map system.Also Arnold cat map-based scrambling algorithm will be applied on the same sample of audio signals.These Scrambling algorithms are used to encrypt the audio files by shuffling the positions of signals at different conditions with the audio file as one block or two blocks.Amplitude values of audio signals with signals' time are registered and plotted for original file versus encrypted files which are produced from applying VSA3DCS using Chen's, VSA3DCS using Lorenz, and Arnold-based algorithm.The spectrogram frequencies of audio signals with signals' time are plotted for original file versus encrypted files for all algorithms.Also, the histogram of the original file and encrypted audio signals are registered and plotted.The comparative analysis is presented by using some measuring factors for both of encryption and decryption processes, such as; the time of encryption and decryption, Correlation Coefficient of original and encrypted signals between the samples, the Spectral Distortion (SD) measure, Log-Likelihood Ratio (LLR) measure, and key sensitivity measuring factor.The results of several experimental and comparative analyses will show that the VSA3DCS algorithm using Chen's or Lorenz is a good algorithm to provide an effective and safe solution to voice signal encryption, and also VSA3DCS algorithm better than Arnoldbased algorithm in all results with all cases.
Digital ultraviolet petrography: approaches and applications

Integrated data on the approaches and applications of the rock fluorescent macro- and micropetrography is presented. Fluorescence in minerals is caused not by the major chemical elements but a wide range of chemical impurities (activators). As a result, fluorescence cannot be used for the mineral identification in the different deposits because of the different activators prevailing in the different localities. Nevertheless, fluorescence is the reliable typomorphic feature because the minerals with specific fluorescence forms in the same geochemical condition. This methodical approach is based on the combination of the epifluorescent microscopy and multifocal petrography of the rocks. Ultraviolet (UV) investigations by the reflectance microscopy method reveal some advantages, mostly in the sedimentary rocks studying – improving an optical resolution of the images, avoiding the microparticles overlapping inside the thin sections. On the contrary to the classical petrography which uses light source, fluorescent minerals are the source of light themselves, and this feature improves the optical resolution of this method as well. Ultraviolet investigations of the samples of Starobin UpperDevonian bed reveal polygenic processes of their forming. Silt-sized minerals with the different fluorescence features, small and high quantum yields, have been brought from the different sources. Prevailing marls, consisting of the clay minerals and dispersed calcite reveal invisible for the other methods structures – colloform aggregates, metasomatic replacement of the marls in the fracture zones of the rocks. Fluorescent features let to define hydrothermal and chemogenic minerals in the sedimentary rocks. For example, fluorescent borates in the salt formations of the evaporates. Nevertheless, complex methodical approach, such as XRD and XRF, needs for the accurate mineral definition.
The impact of some linguistic features on the quality of neural machine translation

This paper investigates how different features influence the translation quality of a Russian-English neural machine translation system.All the trained translation models are based on the OpenNMTpy system and share the state-of-the-art Transformer architecture.The majority of the models use the Yandex English-Russian parallel corpus as training data.The BLEU score on the test data of the WMT18 news translation task is used as the main measure of performance.In total, five different features are tested: tokenization, lowercase, the use of BPE (byte-pair encoding), the source of BPE, and the training corpus.The study shows that the use of tokenization and BPE seems to give considerable advantage while lowercase impacts the result insignificantly.As to the BPE vocabulary source, the use of bigger monolingual corpora such as News Crawl as opposed to the training corpus may provide a greater advantage.The thematic correspondence of the training and test data proved to be crucial.Quite high scores of the models so far may be attributed to the fact that both the Yandex parallel corpus and the WMT18 test set consist largely of news texts.At the same time, the models trained on the Open Subtitles parallel corpus show a substantially lower score on the WMT18 test set, and one comparable to the other models on a subset of Open Subtitles corpus not used in training.The expert evaluation of the two highest-scoring models showed that neither excels current Google Translate.The paper also provides an error classification, the most common errors being the wrong translation of proper names and polysemantic words.
A Discourse Analysis of Advertisements: A Critical Insight using Fairclough's three Dimensions

Although advertisements are all around us and a huge number of people encounter them on a daily basis, readers rarely ever pause to think about it as a form of discourse, (Goddard, 1998). This study aims to examine advertising as a discourse by analyzing several selected consumer-focused advertisements from a critical point of view to understand the effect of these advertisements on language, society and culture. It is hypothesized that 1) advertisers tend to exclude unflattering information entirely from advertisements. 2) Advertisements are primarily based on social phenomena. To test these hypotheses, the researcher uses Fairclough's Critical Discourse Analysis (CDA) framework, which consist of three dimensions: description, interpretation and explanation. The results show that some advertisements do mention the information that do not compliment or flatter the product, thus proving hypothesis No.1 to be wrong. Results also show how all the selected advertisements are addressing some particular social problem, which validates Hypothesis No.2.
It governance evaluation at the population and civil registry office in kolaka district using cobit 5 framework

The implementation of information technology is compulsory to fit organizational goals. This research aims to evaluate the quality of information technology services at the Population and Civil Registry Office at Kolaka District based on COBIT 5 Framework that focused on DSS (deliver, service and support) domain by measuring the Maturity Level using Process Assessment Model (PAM). The Population and Civil Registry Office is under the local government ‘s auspices which is essential in managing the population. The data collection method was done by distributing questionnaires and conducting interviews. This study used 8 (eight) respondents based on the RACI chart. This research was expected to reach level 3 (established process) to create IT governance that fits organizational goals and international standards. From the research result, it is known that the maturity level from the evaluation process conducted by COBIT 5 using the processes DSS-01, DSS-02, DSS-03, DSS-04, DSS-05, and DSS-06 were as follows: 2 processes were at level 1 (performed process), namely the DSS-05 and DSS-06 while the others (DSS-01, DSS-02, DSS-03, and DSS-04) were at level 2 (managed process).
Quality of Service Ranking by Quantifying Partial Compliance of Requirements

While there is not much discussion on the importance of formally describing and analysing quantitative requirements in the process of software construction; in the paradigm of API-based software systems it could be vital. Quantitative attributes can be thought as attributes determining the Quality of Service – QoS provided by a software component published as a service. In this sense, they play a determinant role in classifying software artifacts according to specific needs stated as requirements. In previous works we presented an efficient, and fully automatic, analysis technique for establishing Service Level Agreements – SLA. Such a proposal relays on describing QoS contracts as convex specifications, and compliance checking is performed by the application of an analysis algorithm based on state of the art techniques used in hybrid system verification. Such a technique succeeds in offering a procedure for determining SLA but fails in the more realistic scenario where, potentially, no service fully satisfies the requirements. In this scenario the running application may still prefer to invoke the service that offers the best chances of successfully executing with values for QoS attributes meeting the requirements satisfactorily. In this work we propose and implement a metric for automatically quantifying partial satisfaction of QoS requirements, leading to a way of ranking services according to such notion of partial compliance.
Accelerating Stratified Sampling SGD by Reconstructing Strata

In this paper, a novel stratified sampling strategy is designed to accelerate the mini-batch SGD. We derive a new iteration-dependent surrogate which bound the stochastic variance from above. To keep the strata minimizing this surrogate with high probability, a stochastic stratifying algorithm is adopted in an adaptive manner, that is, in each iteration, strata are reconstructed only if an easily verifiable condition is met. Based on this novel sampling strategy, we propose an accelerated mini-batch SGD algorithm named SGD-RS. Our theoretical analysis shows that the convergence rate of SGD-RS is superior to the state-of-the-art. Numerical experiments corroborate our theory and demonstrate that SGD-RS achieves at least 3.48-times speed-ups compared to vanilla minibatch SGD.
Scalable and Efficient Comparison-based Search without Features

We consider the problem of finding a target object $t$ using pairwise comparisons, by asking an oracle questions of the form \emph{Which object from the pair $(i,j)$ is more similar to $t$?}. Objects live in a space of latent features, from which the oracle generates noisy answers. First, we consider the {\em non-blind} setting where these features are accessible. We propose a new Bayesian comparison-based search algorithm with noisy answers; it has low computational complexity yet is efficient in the number of queries. We provide theoretical guarantees, deriving the form of the optimal query and proving almost sure convergence to the target $t$. Second, we consider the \emph{blind} setting, where the object features are hidden from the search algorithm. In this setting, we combine our search method and a new distributional triplet embedding algorithm into one scalable learning framework called \textsc{Learn2Search}. We show that the query complexity of our approach on two real-world datasets is on par with the non-blind setting, which is not achievable using any of the current state-of-the-art embedding methods. Finally, we demonstrate the efficacy of our framework by conducting an experiment with users searching for movie actors.