Reviewerly/exHarmony huggingface dataset:
Bentuk Kesiapsiagaan Menghadapi Bencana Alam Banjir Bandang Suku Wana, Kabupaten Morowali Utara, Sulawesi Tengah

Flood is the most frequent natural disaster in North Morowali, Central Sulawesi Province, Indonesia. The local government has tried to formulate disaster risk reduction plan to overcome this problem, but its implementation is not involves the local  capacity. On the other hand, the Morowali local community, especially the Wana tribe, have been implementing disaster preparedness based on their own culture. The purpose of this study is to identify flood and flash-flood disaster preparedness activities of the Wana Tribe using ethnographic approach. By using the ethnographic approach, disaster preparedness activities in the Wana tribe can be comprehensively described, so they can be a valuable lessons related to cross-stakeholder Disaster Risk Reduction Program formulation. The study was a qualitative study using field observations, interviews, and literature review as the data collection method. The results showed that Wana Tribe had various disaster preparedness activities, which met the ideal disaster preparedness practices according to literature. These activities include: early warning system through the nature sensing, evacuation facilities provisioning, community based resource sharing, logistics provisioning, timely monitoring of flood hazards through river fringing, and all of them are applied in every authority level, either in the individual, family, neighborhood or village level.
Development of Level D Hazmat Shirt Designs for Covid-19 Pandemic Medical Personnel

The presence of COVID-19 uncertain of impact on learning activities, including the State Vocational School in Indonesia, to prevent the spread-impact of COVID-19, and learning remains effective one of them is doing distance learning. The problem is that not all teachers can do learning online, including applying m-learning. This study aims to analyze the differences and increase the: 1) ability of teachers to prepare and organize materials-media learning to m-learning, 2) ability of teachers to utilize m-learning for learning, 3) ability of teachers to implement m-learning, after the teacher participated in the training and implementation of m-learning. The research method uses a quantitative approach to the method of quasi-experimental. The sample of 40 High School Vocational Teachers 7 in Surabaya, the determination using the technique of stratified random sampling. The technique of data analysis using t-test and test gain. The results of the research shows there is: 1) A difference and increase significantly the ability of teachers to develop and organize teaching materials-media to m-learning, from the average of 45.00 to be 78.50; 2) A difference and increase significant in the ability of teachers to use m-learning to learning, from 40 to 75.50; 3) A difference significantly and increase in the ability of teachers to implement m-learning, from the average of 35.60 to 72.10. The results of this study can be used as the development of science, policy reference in improving the ability of teachers of vocational high schools in implementing a distance-learning.
Application of Neural Networks for Automatically Detecting Verbal Accents

The problem of automatically detecting verbal accents is solved. Word classes with one and two non-transitive accents, with transitive accents, and without accents are identified. An accent is determined in words in which it is not transitive. Words are grouped by the number of syllables. Each group is divided into word classes with the same numbers of accented syllables. Thus, the accents determination problem solved by means of neural networks boils down to word classification. The data array (training and test sets) is formed from A.A. Zaliznyak's Russian language grammatical dictionary, which contains word forms with placed accents. A word model comprises a list of syllables. In the data array, syllables are replaced by their numerical codes, for which syllable dictionaries are compiled. The numerical code of a syllable is its number in the syllable dictionary. The accents are searched in two stages. First, it is found out whether the word has non-transitive accents, and if yes, the word is transferred to the neural network that determines the accents. All neural networks designed in this study contain an Embedding layer which translates scalar representations of word syllables into vector ones. At its input, the neural network receives a vector with the numerical codes of word syllables, and at the output it yields the word class number, which in the case of one non-transitive accent coincides with the number of the accented syllable, and in the case of two non-transitive accents indicates the numbers of two accented syllables. The probabilities of correctly determining one and two non-transitive accents are estimated at 0.9474 and 0.9759, respectively.
La formación docente en la enseñanza del lenguaje

This paper describes a project of intervention or innovation in the field of language and communication, consisting in improving a course from its original version as presented by the Mexican Ministry of Public Education. The innovation involvedwas the implementation of the course through three axes of transformation: complex thinking, researchteaching, and the use of information technologies (ICT). It was applied during the period from August to December of 2018 in a group of a normal rural school in northern Mexico, with the purpose of building innovations to the original course, to the practices of the teachers of the normal school who participated in the project, as well as in the teacher training of the students with whom the course was implemented. The results are structured, based on the categories derived from the transformation axes. The improvement recommendations are established in terms of undertaking a specific exercise and teacher training adjustments.
Word Blending using Sliding Word Lock to Enhance Reading Fluency

Having issues with synthetic phonics or word blending leads to inefficiency in reading fluently among rural primary school pupils causing the pupils to be demotivated in reading English books.Therefore, this quasi-experimental study was carried out to investigate the use of Sliding Word Lock which is incorporating the visual-kinaesthetic learning style to help in word blending enhancing reading fluency among rural primary school pupils.With 14 participants from rural primary school in Belaga, Sarawak, pre-test, post-test and one-minute timed reading passage assessment were used to collect the data required.The findings from pre-test, post-test and oneminute timed reading passage assessment were analysed using descriptive analysis.The pre-test and post test results reveal that all participants progressing positively in word blending through the pre-test and post-test.The result from one-minute timed reading passage assessment shows positive increasement in the number of words pronounced by the participants.This shows that Sliding Word Lock has a positive effect in word blending and it enhance the reading fluency of the participants.
Aplikasi Layanan Perkara Menggunakan Web Service Berbasis Android

The Sumber Religious Court has implemented a computerized system called the Case Tracking Information System (SIPP). This system in its application in the field still has shortcomings. Among them, this system cannot be properly accessed via mobile devices such as Android. In addition, the steps taken to find case information are considered inefficient. Case information services in this study use web service technology, which is a collection of data or applications that can be accessed remotely via the internet network. The web service will be accessed by the client in the form of an Android application. While in application development, this study uses the waterfall method. The waterfall method is one of the methods in SDLC which has the characteristic of working, namely that each phase in the waterfall must be completed first before proceeding to the next phase. In this study, an Android-based case information service application was produced using web service technology. With the Android-based case information service, it can make it easier for employees to carry out work activities where case information can be accessed anytime and anywhere so that it can improve the performance of the Sumber Religious Court employees by more than 60%
HYPERSPECTRAL SIGNATURES, ELEMENTAL MAPPING AND PETRO-CHEMICAL CHARECTERISTICS OF STEATITE DEPOSIT AROUND PANDITANAHALLI VILLAGE, DHARWAR CRATON, KARNATAKA, INDIA

AbstractDharwar Craton is structurally controlled and highly deformed terrain which is rich in varied mineral deposits. It is known for mineral deposits like iron, gold, copper, manganese, chromium, uranium, asbestos, corundum, garnet and talc. Occurrences and good workable deposit of steatite around Panditanahalli village of Hassan district have been identified and demarcated. At present there is no mining activity but it was believed that the first attempt of steatite mining at Panditanahalli was done by Cholas dynasty. Steatite is a talcose rich compact metamorphic rock. They are well known for their heat resistant and other physical properties so it’s been used in fireplace liners, cookware, electronic insulator, ovens, masonry heaters, and carvings etc. Fresh samples of steatite, hornblendite, gabbro and pegmatite gneiss were randomly collected in the field through GTC (Ground Truth Check). Rock samples were studied under Transmitted light microscope, Reflected light microscope, SEM-EDX and Spectro-Radiometer. Petrography helped to know the minerals which are associated with steatite, SEM-EDX studies helped to know the high Mg elemental percentage present in the given steatite sample. Spectral signatures of rock sample were studied by Spectro-Radiometer (Spectral Evolution SR-3500) instrument. The spectral signatures of the collected samples were derived in laboratory environment to achieve better accuracy. The present work is aimed for studying the petrological, geochemical and hyperspectral signatures of steatite and their associated litho units. The final results highlight the minerals present in steatite and spectral characters of steatite for mapping and demarcating the deposit in the study area and also for better mapping in similar areas around Precambrian terrains, Dharwar Cratonic Group(DCG) of Karnataka State.Keywords: Steatite, Petrography, Hyperspectral Signatures, SEM-EDX studies, Panditanahalli village, Dharwar Craton
Analysis of evasion attack defense methods in text classified training dataset

Classification algorithms built different kind of feature representations based on training datasets.The major threat on training datasets are, they affected by various attacks.The unstructured training datasets are faced the challenges when they convert into structured datasets.The tiny text perturbation in the original training dataset will cause misclassification and incorrect predictions in machine learning.The different classification algorithms measurements help to detect the evasion attack on training dataset.To compare different defense methods helps the way of mitigating training dataset attacks.The experimental results prove that the text classifier training dataset secured from the evasion attack.
Evaluation of Huffman Algorithm for Compression Standards

Data Compression is a technique to reduce the quantity of data without reducing the quality of the data.The transferring and storing of compressed data is much faster and more efficient than original uncompressed data.There are various techniques and standards of data compression are available.In this paper we implemented and tested Huffman algorithms.Our implementation results shows that compression ratio and the performance of the Huffman coding is higher for text and rich text format.In addition, implementation of Huffman coding is very easy.
Web service composition based on improved multi population genetic algorithm

With the development of cloud computing, the improvement of web service standards and the progress of supporting software, more and more web services are published on the Internet. Web service quality aware (QoS) not only requires specific services to complete specific tasks, but also pays more attention to the comprehensive service quality of the whole web service composition. How to select the web service composition with the highest comprehensive QoS in the global is NP hard.In this paper, an improved two population genetic algorithm is proposed, in which a adaptive crossover operator is set in one population and a big mutation operator is set in another population to improve the existing genetic algorithm, so that the algorithm can balance the local search and global search ability.The experimental results show that this algorithm has the advantages of shorter time-consuming and higher accuracy than the general genetic algorithm and the multi-population genetic algorithm, and effectively avoids the defect of effective genes in the population.
A Study on the Meter and Meaning of Baek Seok's Poem “Yeo-seung(女僧)”

본고는 백석의 시 <여승>의 운율을 전통 시가의 율격 개념에 기초하여 재고하고, 율격과 연동하며 실현되는 의미에 대해 고찰한다. 백석 시는 단일한 율격 모형이 시 전반의 형식을 규제하진 않지만, 전통적 율격을 활용하고 변주함으로써 다양한 시적 의미를 구축해나간다는 점에서 그 형식에 관한 특별한 주목이 필요하다. 이에 백석 시 중에서도 율격과 의미와의 상호작용이 특징적으로 드러난 작품인 <여승>을 대상으로 하여, 그간 피상적으로만 언급되었던 전통적 율격의 실현 양상을 구체적으로 분석하면서 그 형식적 특질을 통해 구현되는 시적 의미를 밝히고자 하였다. <여승>의 각 연은 전통적 율격을 기본으로 하는 가운데 율격적 일탈과 간극의 도입, 보격의 변화, 관성의 중단, 4보격의 중첩 등의 다양한 방식을 통하여 시적 주체의 심리 변화를 드러낸다. 또한 작품 전체의 구조와 관련하여 율격의 변화 양상을 살필 경우, <여승>은 한 여인이 여승이 되는 과정을 보여주는 한편, 출가 이후에도 여전히 기억과 감정에 연루된 인간으로 살아갈 수밖에 없는 여인의 내면을 보여준 작품으로 해석될 수 있다. 이를 통해 볼 때, <여승>은 전통적 율격을 다채로운 방식으로 활용하여 시적 의미를 구현해낸 작품으로서 새로이 의의가 부여될 수 있을 것이다.This study revisits the rhymes of Baek Seok s poem “Yeo-seung(女僧)” based on the concept of the meter of traditional poetry and examines the meaning of the poem realized in relation to the meter. Previous studies that looked at Baek Seok poetry in relation to traditional poetry forms were limited to either pointing out the phenomenal fact that the metrics were confirmed or analyzing rhythms based on unclear standards. Although Baek Seok’s Poem does not regulate the format of the whole poem with a single rhythmic model, it uses the meter of traditional poetry to create various meanings through the process of repetition and variation. “Yeo-seung” shows an interaction between meter and meaning. Each stanza of “Yeo-seung” is based on traditional rhythms, revealing the psychological changes of the poetic subject in various ways such as the introduction of rhythmic deviations and gaps, changes in meter, interruption of inertia, and the superposition of four feet. Moreover, the process of changing the meter in “Yeo-seung” shows the life of a woman who was forced to live as a human involved in memory and emotion even after leaving home in addition to the process of becoming a Buddhist nun. Consequently, “Yeo-seung” can be read as a work that embodies its poetic meaning by utilizing traditional poetry s meter in various ways.
企業社會責任 (CSR) 做為一種差異化戰略從商業延伸至消費市場: 以 A公司芳香業務為例

This research is a case study focusing on corporate social responsibility (CSR) practices as a differentiation strategy for company A to expand business operations into original brand manufacturing. Taiwan is one of the foremost powerhouses for original equipment / original design manufacturing (OEM/ODM) of consumer electronics and other high-tech, high-spec consumer products. While Taiwanese enterprises have led exemplary models for interconnected supply chain, just-in-time production, and lean operations, they struggle outside of the factories and engineering labs to build strong brands that can capture consumer hearts and a large share of the business to consumer (B2C) market. OEM/ODMs with efficient upstream processes face immense challenges in transitioning to original brand manufacturing (OBM) due to the lack of downstream structures and overall strategy in branding and channeling. Company A is a twenty-five-year-old, local Taiwanese original equipment / original design manufacturer (OEM/ODM) specialized in fragrance and freshener products. It is a dominant player in the global business to business (B2B) fragrance freshener market and, for the past three years, has focused on developing its own B2C brand. Recognized by the local government and media as a small giant – a term coined by Bo Burlingham in his groundbreaking book of the same name, Company A is deeply rooted in the community and is governed by a unique set of sustainable values that sets it apart from competitors in Corporate Social Responsibility (CSR). These intrinsic and well communicated CSR practices hold practical implications for Company A in product and brand differentiation as it expands to OBM. Previous studies in marketing have unanimously highlighted the important benefits of CSR practices in building strong brands and creating brand values, especially when CSR strategies are applied across all internal processes and communicated effectively to consumer. Feng, Yoon, and He in 2016 have identified CSR practices particularly in the governance and social domains to have significant impact on brand value creation for the top 100 global brands. By thoroughly analyze the current brand positioning and core CSR practices, this paper proposes for company A to use CSR practices as a differentiation strategy to transition from OEM/ODM and attack the local and international B2C markets.
Automatic Tagging for Open Source Software by Utilizing Package Dependency Information

The tags of open-source software (OSS) are important for managing and retrieving a massive amount of OSS in the OSS community, untagged OSS makes managing and retrieving OSS on GitHub difficult. However, developers sometimes neglect to write tag for repositories. For example, in our collected dataset with over 43K GitHub repositories, more than 32 % of the repository are unlabeled. To alleviate this problem, we propose an approach to automatically generate repository tag based on a neural network and LDA by utilizing package dependencies and readme among OSS in communities. We design an algorithm for extracting the tag features of dependent OSS packages and build dependent feature vectors for OSS. We then combine the vectors with topic of OSS readme file as input to train the neural network and obtain the tag distribution probability of OSS, and subsequently, recommend tags for OSS. Experiments are performed on the OSS dataset that we collected from GitHub, over 43K repositories and evaluate our approach on this dataset. Experiment results show that DepTagRec performs better than other methods in terms of precision and recall, particularly on recall when recommending the top 10 tags for OSS.
Image Quality Assessment with Local Contrast Estimator

In this paper, a simple, yet effective no-reference image sharpness index for both local and global image sharpness assessment is calculated as the maximized local between-class variation, which is generated by the introduced Fisher discriminant criterion. On the other hand, the idea of dividing the local region into two classes, which we define as content part and background, is adopted to obtain improved Local Binary Pattern (LBP). Based on such LBP and its ability to describe local structure information, a reduced-reference image quality assessment model is realized by combining the shift of LBP histograms and image sharpness index for describing the spatial distribution and structural intensity respectively. Rigorous experiments with three large benchmark databases demonstrate the effectiveness of the two proposed models for both no-reference sharpness and reduced-reference image quality assessment.
The decameron: On possibility of love during self-isolation

This article in the genre of the consolation of philosophy deals with the COVID-19 pandemic as a new superphenomenal experience marked by an extremely intense experience of one’s vulnerability and finiteness as well as by problematization of our previous ideas of a human being The author offers a way to understand our situation and find solace by starting with the performative paradox of Giovanni Boccac-cio’s Decameron, which contains one of the most famous descriptions of the plague and remains one of the most cheerful and life-enhancing texts in European literature The article shows that, contrary to the common belief, the consolation offered in the The Decameron is not reduced merely to telling stories that entertain and distract us from tales of grief Nor is it reduced to the invention of social practices for building a new and more perfect society, although all this, as the author shows, is undoubt-edly there in the text and has a beneficial effect The Decameron’s consolation ultimately consists of the assumption that man him-self has metaphysical depths in his incomprehensible (although it is fully embodied in the Decameron) and impossible potential for lovingly accepting the reality of the world as a blessed Gift, to think of eventfulness itself as a gift The article argues that the anthropology on which Boccaccio’s utopia is based is that of the feast or sympo-sium understood in the spirit of the Platonic-Christian tradition The author hopes that Boccaccio’s anthropological optics, designed to overcome the pessimism of reason and affirm the optimism of will and faith, can help the reader find meaning and joy in the midst of the suffering and death which are the irrevocable framework of life This consolation can be heard in the cheerful voice of Boccaccio, which comes to us from faraway plague-ridden Florence and offers us his prescription for healing the “wounds of being ” © 2021, Gaidar Institute Press All rights reserved
Introdução aos Blockchains: Teoria e Prática

This book presents the texts of the short courses of the 17th Regional School of Computer Networks and Distributed Systems (ERRC 2019), held on 16-19 September 2019 in Alegrete, Brazil. The short courses of ERRC aim to introduce emerging and relevant themes in the areas of Computer Networks and Information Security for professionals, graduate students, and undergraduate students.
LibGuides: Integrated Workflow for Publications and Datasets: Manuscript Acceptance

This guide outlines the different stages involved in the Integrated Workflow for research publications and datasets.
Edukasi Pengenalan Buah-Buahan dalam Bahasa Inggris Melalui Augmented Reality Berbasis Android

The existence of English as a universal language or the main language of instruction throughout the world makes this language an important language in the world of Indonesian education. English continues to provide benefits in a wide scope, one of which is in the world of education. The advantage of English itself is that it has a meaning like the written form in Indonesian. The weakness that is recognized by general students is that the development of technology makes learning activities using printed books less motivating students to get to know their culture and knowledge. Through this research, the researcher wants to design interactive learning methods using technologies such as Android-based Augmented reality. Android is an operating system that is commonly found on smartphones to support daily activities. The Multimedia Development Life Cycle (MDLC) is a system design method used by researchers in the process of designing this learning application. The conclusion obtained in this study is that English learning applications using Android-based Augmented Reality technology can be an interesting and new additional learning medium as a support in recognizing basic English learning.
LibGuides: Library Assessment Fundamentals: Ethics

This page includes resources and information on ethics topics including institutional review boards and privacy issues.