Reviewerly/exHarmony huggingface dataset:
Implementation of Distance Learning Policy In The Era of The Covid-19 Pandemic In Banjar District, South of Kalimantan

In its implementation, the Banjar Regency Government, in particular the Education and Culture Office, has not fully implemented the policy of the Minister of Education and Culture regarding Distance Learning, so it is interesting to examine some of the obstacles to its implementation, including in the context of the economic condition of the community. For this reason, it is essential to do this research, especially in high school (SMA), where many students already have a means of communication in the form of mobile phones. The main objective of the study is to describe the policy implementation model owned by the Education Office in Banjar Regency based on the economic conditions of the people in Banjar Regency and a description of the implementation of distance learning policies in terms of communication aspects, sources of resources, tendencies, and implementing bureaucracy. This study uses a qualitative research approach, namely research that seeks to understand and present the phenomena around teaching and learning activities in senior high schools in Banjar Regency, selected based on each school's public and private categories. The schools selected were High School 2 Martapura and High School Darul Hijrah Cindai Alus, Banjar Regency. To obtain accurate data and information, the selected research informants are the Head of the Banjar Regency Education Office, the Principal or his representative at SMA 2 Martapura, and SMA Darul Hijrah Cindai Alus Banjar. The school students are represented by five people from each school and the student's parents. The projected results of this study are expected to help enrich public policy knowledge, especially regarding policy implementation by the latest developments and conditions of technology development, information especially the Covid-19 pandemic era, and submitting criticism and suggestions, especially for the development of education in Banjar Regency.
Relationships between Mentoring, Self Leadership, and Major-Continuance Intention of Dance Majoring Students

The purpose of this study is to causally investigate the relationship between mentoring, self-leadership, immersion in the major, and the intention to continue the major of dance majors. The subjects of this study were dance majors enrolled in the dance department of four-year universities located in Seoul and Gyeonggi-do, and data from 219 people were used in the final analysis. Key Statistical analysis was carried out a regression analysis and the results are shown below.<BR> First, the mentoring factors of dance majors did not have a statistically significant effect on the behavior-oriented strategies of self-leadership. In the constructive thinking strategy, only the counseling functional mentoring and practical functional mentoring of mentoring had a positive effect on the natural compensation strategy, and only the social functional mentoring had a positive effect. Second, among the mentoring factors of dance majors, only practical skill mentoring had a positive effect on immersion in the major. Third, among the mentoring factors of dance majors, only practical skill mentoring had a positive effect on the intention to continue majoring. Fourth, among the factors of self-leadership of dance majors, action-oriented strategy and constructive thinking strategy had a positive effect on major immersion. Fifth, among the factors of self-leadership of dance majors, only the action-oriented strategy had a positive effect on the intention to continue majoring. Sixth, the immersion into the major of the dance major had a positive effect on the intention to continue the major.<BR> These results suggest that the mentoring system in the dance major increases the active dance activities of the dance major, which in turn increases the satisfaction with the major and the intention to continue dancing in the future.
How to upload data onto the UP Research Data Repository (Figshare)

Virtual presentation delivered at the UP Open Access Week: 'Shifting the boundaries of your research impact', Virtual, 19-23 October 2020
A Brief Survey on Emotion Based Text to Speech Conversion System

Text to speech conversion is one of the applications of machine learning. It is widely used in search engines, standalone applications, web applications, chatbots and android applications. But still there is need to upgrade text to speech system so that we can get more interactive and user-friendly application. Traditional text to speech application has monotonous voice as output which does not has emotions in it and seems to be more mechanized. So, there is need to improvise the existing system by embedding the flavour of emotions in it. Existing text to speech cannot be used in story telling applications also it does not provide effective communication. Most of the Text to Speech systems are developed using algorithms such as Support Vector Machine (SVM), Naïve Bayes etc. Emotion Based Text to Speech System will help to improvise the existing Text to Speech system. With the help of machine learning and deep learning algorithm such as Recurrent Neural Network can be used for performing sentiment analysis and semantic analysis on the input text. We are going to use neural network which is more effective and help to maintain a relation between previous word and next word. Emotion based text to speech system will be able to identify four emotions ‘happy’, ‘sad’, ‘angry’ and ‘neutral’. Emotion based text to speech system will be beneficial for educational purpose like listening stories from storytelling applications for young budding children. Emotion based text to speech is going to be serviceable for visually impaired individuals.
LibGuides: Library Orientation: Training videos

The purpose of this guide is to introduce you to services and resources available at your Library.
LibGuides: Social Media: Interlibrary Loan (ILL)

This guide provides resources pertaining to social media and its effect on society. It is primarily geared toward students who have selected Social Media as the topic for their research and writing assignments.
LibGuides: ENG 151 - SIFT Method for Evaluating Sources: The SIFT Method in Action

This guide explains how to use the SIFT Method for evaluating sources. SIFT stands for Stop, Investigate the claim, Find better coverage, and Trace back to the original source.
Pengaplikasain Media Game Edukasi Pada Mata Pelajaran IPA Kelas VI SD Inpres Oepoi

ABSTRACTFugensia I.Hibu, 2021, Application of Educational Game Media in Class VI Ipa Subjects at SD Inpres Oepoi. Citra Bangsa University Advisor Diana Y. A Fallo, S.Kom., M.T, Yonly A. Benufinit, S.Kom., M.T. The background explains: Natural science, which is often referred to as science education, is shortened to IPA. Science is one of the main subjects in the education curriculum in Indonesia, including at the elementary school level.This study aims to: (1) develop educational game-based learning media at SD Inpres Oepoi (2) determine the feasibility of educational games as alternative learning media in natural science (IPA) subjects.The research method used is a qualitative approach with the development of the MDCL model system. The research data were obtained based on the distribution of questionnaires to teachers and students and were tested using the Likert scale method.The results of the study based on the distribution of questionnaires given to 10 respondents showed that the picture guessing educational game was suitable for use as a learning medium for Natural Sciences (IPA) with a total score of 1800 with an average of 90%.
Pragmatics Transfer on Compliment and Compliment Responses to English Learners at The Faculty of Adab and Humanities Uin Alauddin Makassar

This study aims to describe (1) the form of compliment strategies and compliment responses of English learners at the Adab and Humanities Faculty of UIN Alauddin Makassar, (2) the factors related to the pragmatics of the transfer of English learners at the Adab and Humanities Faculty of UIN Alauddin Makassar.The population in this study is all students of semester 6 of the Class of 2017 English Language and Literature Faculty of Adab and Humanities UIN Alauddin Makassar, with a total of 70 respondents as a representative selected research sample, is considered as the representation of the entire research population.The data collection methods are conducted using DCT, interviews, and direct observations.The data obtained is analyzed with quantitative and qualitative techniques.Specifically, the quantitative data is processed with statistics using R analytics software, while the qualitative data is analyzed using pragmatic transfer analysis.The results showed that (1) The form of compliment strategy used by English learners at the UIN Alauddin Makassar faculty consists of 18 forms of compliment strategies and 13 forms of compliment response strategies, the most commonly used forms are surprise and congratulations strategies while the form of compliment response that is most often done is the appreciation and appreciation strategy receive compliments.(2) There are 3 factors related to the pragmatic transfer of English learners that affect the negative transfer that occurs when performing compliments speech acts and compliment responses, including sociopragmatic, pragmalinguistic and psychopragmatic factors.
Episode 23: REM for REV (Vital Connections On Air)

Runtime (32:54). Note: Our Vital Connections On Air episodes are audio-based interviews. Written transcripts are generated using a combination of speech recognition software and human transcribers, and may contain errors. Please check the corresponding audio before referencing content in print.
The Performance of Elastographic Diagnostic of Breast Tumor in Dr. Soetomo Teaching Hospital Surabaya

Background: Elastography in breast cancer cases has not become a routine examination that is conducted in the radiodiagnostic unit in Dr. Soetomo Teaching Hospital Surabaya.These last few years, elastography has been an addition examination modality which is promising to assess breast lesions that are detected byan ultrasound.Objective: The aim of the present study is to observe the performance of elastography in breast tumor cases.Method: This cross-sectional study was conducted in Dr. Soetomo Teaching Hospital Surabaya.The elastography is applied in 65 females (the average age is 49,1 years old) and it was found 66 lesions with a definitive diagnosis (34 benign tumors, 32 malignant tumors) which was proved through a fine-needle aspiration biopsy.The grayscale result is classified into benign and malignant categorizations with examining five descriptors including shape, margin, orientation, echo pattern, and posterior features. Results:The elastography score showed that the sensitivity is 87,5 %, the specificity is 94,1 %, and the accuracy is 90,9 % The stain ratio showed 93,8 %, 94,1 %, 90,9 % in sequence.On the other hand, the grayscale result showed 96,9 %, 91,2 %, and 95,5 %.The combination of elastography and grayscale showed a better performancewith the 97,1% of sensitivity, 94,1 % of specificity, and 93,8 % of accuracy.There was a significant correlation between the lesion size and the quality of elastography result (P = .034)while there was no correlation with the lesion depth (P = .624).Conslusion: The combination of elastography and grayscale have a better diagnostic performance in distinguishing benign breast tumor with malignant breast tumor.
Influence of the plate thickness and material properties on the violin top plate modes

In this paper we analyze the vibrational behavior of the violin top plate, for varying plate thickness and material properties via finite element method (FEM) numerical simulations. It is well known that the vibrational properties of the top plates of string instruments influence their sound emission characteristics. Due to the impact of global warming on wood formation and due to their configurability, many manufacturers investigate the use of composite materials to produce musical instruments. Therefore, composite, carbon fiber reinforced epoxy (CFRE) prepreg along with traditional wooden material, such as spruce, are adopted in this study. FEM modal analysis along with a frequency response function (FRF) FEM analysis are performed. The vibrational variations of the plate's response are computed under free conditions. The main vibrational modes and the natural frequencies obtained by the simulations show the influence of the different mechanical and geometric properties on the top plate's vibrational response. The resulting eigenmode frequencies and shapes of the plate in relation to the varying thickness and the material properties used, are discussed. The results of this study offer valuable information on the evaluation of the acoustical characteristics of violins and may be further used on their vibrational behavior optimization and control.
Simulation of Cloud Services with Help of Storage Virtualization

This paper is tied in with reproducing framework as an assistance with the assistance of capacity virtualization. Virtualization as far as distributed computing is characterized as a manner by which all workers and applications that are required for the other cloud suppliers are taken care of and administered by an outsider and this administration can be utilized on different machines simultaneously, making it conceivable to see the virtual picturization of the capacity gadgets. As a major aspect of this is reenactment two locales will be utilized, one site for On-premise organize and can be actualized with the assistance of VMware professional. We have the Amazon Web Services as the second webpage which offers types of assistance, for example, programming, a stage and a foundation. It tends to be executed in organizations that is anticipating limit their expense on framework so that in least cost most extreme execution productivity can be gotten.
Distant and close reading in literature : a case of networks in periodical studies

The question of how to read, and specifically the opposed approaches of distant and close reading, has long been contentious in the humanities and specifically in the field of literary studies. In practice, computational tools are increasingly implemented by scholars, resulting in a constantly evolving debate around the reading of research objects. We seek to explain through the lens of network studies the various ways networks are being used and can be used in humanities research including modelling information as relational, visualizing networks, and implementing quantitative network analysis. We argue that, in contemporary research practice, distant and close reading necessarily coexist and are methodological approaches that answer different yet complementary research questions. This is explained through three types of applications of network studies which focus on periodicals: close reading and network visualisations, close reading and network visualisations and analysis, and the computational generation of networks from databases for exploring relational phenomena with network analysis. We assert that there is a need for greater awareness and transparency about the role different approaches play in present-day research. Instead of pitting these two approaches against one another, we urge researchers to consider the mutual benefits of reading practices in order to facilitate a conversation on the value and role of different technologies and ways of reading in the humanities. This is a presentation of a forthcoming paper of the same title in a special issue on digital literary studies in the journal Interferences litteraires.
Design and implementation of SCADA expert system for annealing temperature of stainless steel electric heating pipe

为了提高不锈钢电加热管退火制程的产品质量,在对原退火炉进行的升级改造中,采用红外测温传感器构造了温度冗余检测结构,提高了温度测量的稳定性及精度;开发了专家经验知识库,研究了采用西门子WinCC软件实现专家经验知识的存储、提取和调用方法,在此基础上构建了以温度偏差及温度偏差变化率为输入参数的模糊控制器,通过模糊推理,实时地将专家经验知识量化为精确的PLC控制信号,实现了退火温度的智能调节.通过不同型号管件的测试结果表明,改造后的设备温度调节速度快,控制精度高,产品合格率得到有效提升.
LibGuides: Library Services Platform (LSP): Event Recordings

Website for the systemwide Library Services Platform LSP Event Recordings and presentation materials
Securing Data in the Cloud using the SDC Algorithm

The past few years have seen much attention directed towards cloud computing where private and organizational usage has skyrocketed because of the flexibility it provides.Cloud computing may be exploited for a decrease in the limitations of conventional computing architectures in this way profiting an organization as far as a competitive advantage, space, time, power, cost and in any event, giving a disentangled business process.In as much as Cloud computing arises with a lot of benefits, the security challenges that it poses cannot be overestimated.The use of traditional encryption algorithms such as RSA, DGHV andGen10, to scramble the secluded data before transferring it to the cloud provider have been proposed to solve this security loophole.But, the customer ought to give the secret key tothe server to unscramble the data before performing the computations necessitated.This paper proposes a framework for a variant of the Homomorphic encryption known as SDC encryption algorithm which allows performing calculations on scrambled data without decoding.The performance metrics of the proposed framework was carried out using the big-Oh notation and an SDC encryption library in python and then tested for correctness.The results obtained from the proposed framework of the SDC encryption algorithm indicated satisfactory performances.Hence, with the utilization of the SDC encryption algorithm, the customer's data in cloud server is secure and this also allows computations onthis encoded data.These results provide inspiring evidence for securing data in clouds using the SDC encryption algorithm.
BFRIFP: Brain Functional Reorganization Inspired Filter Pruning

Neural network pruning has attracted enormous attention since it offers a promising prospect to facilitate the deployment of deep neural networks on resource-limited devices. However, the core of most existing methods lies in the criteria of selection of filters which were pre-defined by researchers. With the advancement of network pruning research, the criteria are becoming increasingly complex. In this paper, we propose a brain-inspired filter pruning algorithm for deep neural networks, which requires no selection criteria. Inspired by the reorganization of brain function in humans when irreversible damage occurs, we treat the weight to be pruning as damaged neurons, and complete the reorganization of the network function in the novel training process proposed in this paper. After pruning, the kept parameters can take over the function of those that have been pruned. The pruning method is widely applicable to common architectures and does not require any artificially designed filter importance measurement functions. As the first attempt on weight-importance irrelevant pruning, BFRIFP provides novel insight into the network pruning problem. Experiments on CIFAR-10 and ImageNet demonstrate the effectiveness of our new perspective of network pruning compared to traditional network pruning algorithms.
The intercultural dialogue as the basis of the theoretical and methodological support of the spiritual development of a person

Annotation. Intercultural education is a very important part of general and higher education today. It is mainly based on the communicative aspects, which are closely connected with a dialogue. The article deals with the intercultural dialogue. It is the basis of the theoretical and methodological support of the spiritual development of a man. Definition of the earlier nature of the dialogue, from a philosophical point of view, as an element of the theoretical, methodological, spiritual and ethical principles, in particular as a fundamental principle that is subjectively a fundamental requirement and a prerequisite for the thinking and behavior of the individual (maxim), and objectively leading the spiritual and practical norm of human co-existence, makes it possible to conclude that such a methodological guideline is not leading in existing cultural and educational practices that remain beyond the scope of dialogue, without the use of dialogue in the cultural and educational process. Key words: intercultural education; dialogue; communication; communicative aspect; human development.
Integral Distinguishers of the Full-Round Lightweight Block Cipher SAT_Jo

Integral cryptanalysis based on division property is a powerful cryptanalytic method whose range of successful applications was recently extended through the use of Mixed-Integer Linear Programming (MILP). Although this technique was demonstrated to be efficient in specifying distinguishers of reduced round versions of several families of lightweight block ciphers (such as SIMON, PRESENT, and few others), we show that this method provides distinguishers for a full-round block cipher SAT_Jo. SAT_Jo cipher is very similar to the well-known PRESENT block cipher, which has successfully withstood the known cryptanalytic methods. The main difference compared to PRESENT, which turns out to induce severe weaknesses of SAT_Jo algorithm, is its different choice of substitution boxes (S-boxes) and the bit-permutation layer for the reasons of making the cipher highly resource-efficient. Even though the designers provided a security analysis of this scheme against some major generic cryptanalytic methods, an application of the bit-division property in combination with MILP was not considered. By specifying integral distinguishers for the full-round SAT_Jo algorithm using this method, we essentially disapprove its use in intended applications. Using a 30-round distinguisher, we also describe a subkey recovery attack on the SAT_Jo algorithm whose time complexity is about <math xmlns="http://www.w3.org/1998/Math/MathML" id="M1"> <msup> <mrow> <mn>2</mn> </mrow> <mrow> <mn>66</mn> </mrow> </msup> </math> encryptions (noting that SAT_Jo is designed to provide 80 bits of security). Moreover, it seems that the choice of bit-permutation induces weak division properties since replacing the original bit-permutation of SAT_Jo by the one used in PRESENT immediately renders integral distinguishers inefficient.
Pronunciation Errors of Fricative Sounds Made by English Students

This research aims to identify pronunciation errors position made by students in the English Education Study Program University of Bengkulu and the sound that had the highest error percentage. This research was a descriptive quantitative research. To collect data, the researcher took 19 students from 94 students of the 7th semester in the academic year 2020/2021. The pronunciation test used in this study consisted of 35 words, each of which had one of the seven fricative sounds tested. To analyze the data obtained, researcher used the Audacity application with the help of Google Translate application. Audacity is used to see the amplitude generated from students. Meanwhile, Google Translate is a tool for comparing received pronunciation and pronunciation produced by students. The results of this study revealed that the most pronunciation errors that made by students occurred in the final position when compared the initial and medial. In addition, among seven fricative sounds, / ? / was the highest percentage of errors with 78%. Based on the research results, it can be concluded that the students' pronunciation ability of fricative sounds not affected on the level of the semester is taken but it depends on the position and the fricative sound.