Reviewerly/exHarmony huggingface dataset:
汉印（尼）多项定语口译偏误分析 (ANALYSIS OF CHINESE-INDONESIAN MULTIPLE ATTRIBUTE INTERPRETATION ERRORS)

The differences of multiple attributive order in Chinese and Indonesian often cause errors in interpretation. We made a research among the fourth-grade students of the Chinese Department of Bunda Mulia University. Through the analysis of the recorded transcript about Chinese-Indonesian interpretation, we found the error types include attributives missing, mis-additive composition, interpreting word by word, content misinterpretation, order reversal, and dislocation of components. Among the three types of multiple attribute, the highest error ratio is the progressive type. The structure and semantic meaning of the interpretation often do not match the original text.
Prevalence of anaemia in elderly rural population of block Lakhanmajra, District Rohtak, Haryana, India

Background: Anaemia is universal in the elderly and its prevalence increases with age. In our country an old person, in addition to the effects of aging, is often subjected to the problems of dependency, deprivation, disability, poverty, ignorance, loneliness and rejection of the family members etc. under  such circumstances, it is likely that anaemia, which is quite prevalent even in adulthood may further worsen in old age. Hence the study was conducted to find out the prevalence, types of anaemia and association of various factors with anaemia in elderly rural population.Methods: The present study was conducted in Rural Community Development block Lakhan Majra having a population of approximately 98000, as sample study population. A house to house visit of the whole sample population (497 males and 503) was done to gather information on relevant factors on pretested semi-structured questionnaire and blood samples were taken for haemoglobin estimation by Sahli technique and the blood slides were prepared to find  out the type of anaemia.Results: The prevalence of anemia was 90.4% (84.15 in males and 96.6% in females). Microscopic examination revealed that about 50 % of elderly showed the features of iron deficiency anemia. The most common type of anaemia was normochromic normocytic (41.3%) followed by microcytic hypochromic (19.8%), normocytic hypochromic (13.5%), dimorphic (7.1%). There was significant association of age, sex, living spouse, physical activity, consumption of curd/Lassi with level of haemoglobin. The relationship of caste distribution, literacy, family income, occupation, type of family, behavior, smoking ,alcoholism, drug intake, tea intake, chronic diarrhea, history of bleeding were studied and the observed difference amongst all were found to be insignificant.Conclusions: Elderly population constitutes 7.2% of the total population and mostly (90.4%) were anaemic and the prevalence of severe anaemia was 4.8%. The microscopy examination revea
Traffic sign Detection using CNN

Lane Detection and Traffic sign detection are the essential components in ADAS .Although there has been significant quantity of analysis dedicated to the detection of lane detection and sign detection in the past, there is still need robustness in the system. An important challenge in the current algorithm is to cope with the bad weather and illumination. In this paper proposes an improved Hough transform algorithm in order to achieve detection of straight line while for the detection of curved sections, the tracking algorithm is studied. The proposed method uses Hybrid KSVD for removing the noise and Hybrid Lane Detection Algorithm is used for identifying the lanes and CNN based approach is used for the Traffic sign Detection. The proposed method offers better Peak Signal to Noise Ratio (PSNR) and Root Mean Square (RMS) in contrast to the existing methods.
Increasing Diversity in Computing Education

It is recognized that diversity of perspectives results in solutions that serve a broad base. This is critical to the area of computing, which has applications to many areas including science, humanities, finance, as well as foundational work to advance the field of computing. Cultivating an environment that values and promotes diversity, however, is not an easy task. This is especially the case in higher education, with a focus on undergraduate and graduate computing education. In this talk, I will discuss lessons learned from the following CMD-IT programs: University Award, FLIP Alliance, and Academic Careers Workshops. The focus will be on effective strategies and challenges that require community engagement.
TEACHER’S AND STUDENTS’ PERCEPTIONS TOWARD COMMUNICATIVE COMPETENCE IN ENGLISH AS FOREIGN LANGUAGE CLASSROOM

The study is aimed at exploring teacher’s and students’ perceptions toward communicative competence and to finding out the teacher’s way to implement communicative competence in english as foreign language classroom.In this study, the researcher applied qualitative study as the research method. This research also belongs to a survey research. The participants of this study was an English teacher and 50 students of 11th grade in SMAN 1 Bati – Bati. 11th grade students were purposefully chosen. The researcher used questionnaire and an interview as the techniques of data collcetion in this research. The data were analyzed by using data reduction, data display and conclusion drawing.The result show that the teacher and the students had positive perceptions toward communicative competence in english as foreign language classroom. The teacher and the students were agreed that they are able to implement communicative competence in english as foreign language classroom. The result also revealed that the teacher had good ways in implements communicative competence in English as foreign language classroom.
Specmate: Automated Creation of Test Cases from Acceptance Criteria.

In the agile domain, test cases are derived from acceptance criteria to verify the expected system behavior. However, the design of test cases is laborious and has to be done manually due to missing tool support. Existing approaches for automatically deriving tests require semi-formal or even formal notations of acceptance criteria, though informal descriptions are mostly employed in practice. In this paper, we make three contributions: (1) a case study of 961 user stories providing an insight into how user stories are formulated and used in practice, (2) an approach for the automatic extraction of test cases from informal acceptance criteria and (3) a study demonstrating the feasibility of our approach in cooperation with our industry partner. In our study, out of 604 manually created test cases, 56 % can be generated automatically and missing negative test cases are added.
LibGuides: 3D Printing Guide: Printing An Object

How to utilize the Learning Resource Center 3D printer. Includes direction on obtaining files for print and the procedures for requesting a print.
워터 테이스팅 평가 항목 개발에 대한 연구 - 국내 수원지의 음용수를 중심으로 -

The goal of this research is to develop a water testing evaluation criteria in order to provide the basic data for water sommelier education and water quality evaluation. For this purpose, 3-stage of Delphi technique was adapted for 13 specialists; 7 water sommeliers, 1 water ex­pertise, 5 educated water specialists. Through the pre-description analysis and brainstorming with specialists, the super ordinate concept and median concept were deducted. According to the analysis of the reliability and validity of opinion through Kendall’s W verification repeating the Delphi investigation for the 95 evaluation items deducted from the 1st Delphi result, through the 3rd Delphi investigation, total 45 evaluation items deducted. The overall five concepts including appearance, odor, taste, mouthfeel and total evaluation, were deducted from the results. In detail, the concepts are 2 items from appearance, 12 items from odor, 8 items from taste, 11 items from mouthfeel, 12 items from total evaluation. This research would provide the useful basic data for successive researches as a starting point of water testing evaluation criteria through the development of standardized and generalized water tast­ing items considering domestic water source by the opinions of specialist. And it established the frame of appearance, odor, taste, mouthfeel, total evaluation in order to understand the characteristics of water and tries to help expand the base of water tasting studies.
Conveyorized implementation of ASWM image filter on PLD

The object of research is the adaptive switching weighted median image filter (ASWM) algorithm. This algorithm is one of the most effective in the field of impulse noise suppression. The computational complexity and algorithmic features of this adaptive nonlinear filter make it impossible to implement a filter that works in real time on modern PLD microcircuits. The most problematic areas of the algorithm are the weight coefficient estimation cycle, which has no limit on the number of iterations and contains a large number of division operations. This does not allow implementing the filter on PLDs with a sufficiently effective method. In the course of the research, the programming model of the filter in Python was used. The performance of the algorithm was assessed using the Peak Signal-to-Noise Ratio (PSNR) and Structural Similarity Index Measure (SSIM) metrics. Modeling made it possible to find out empirically the number of iterations of the cycle for estimating the weight coefficients at different levels of noise density and to estimate the effect of artificial limitation of the maximum number of iterations on the filter performance. Regardless of the intensity of the noise impact, the algorithm performs less than 40 iterations of the evaluation cycle. Let’s also simulate the operation of the algorithm with different variants of the division module implementation. The paper considers the main of them and offers the most optimal in terms of the ratio of accuracy/hardware costs for implementation. Thus, a modified algorithm was proposed that does not have these disadvantages. Thanks to modifications of the algorithm, it is possible to implement a pipelined ASWM image filter on modern PLDs. The filter is synthesized for the main families of Intel PLDs. The implementation, which is not inferior in terms of SSIM and PSNR metrics to the original algorithm, requires less than 65,000 FPGA logical cells and allows filtering of monochrome images with FullHD resolution at 48 frames/s at a clock frequency of 100 MHz.
Fully Convolutional Networks for Local Earthquake Detection

Automatic earthquake detection is widely studied to replace manual detection, however, most of the existing methods are sensitive to seismic noise.Hence, the need for Machine and Deep Learning has become more and more significant.Regardless of successful applications of the Fully Convolutional Networks (FCN) in many different fields, to the best of our knowledge, they are not yet applied in earthquake detection.In this paper, we propose an automatic earthquake detection model based on FCN classifier.We used a balanced subset of STanford EArthquake Dataset (STEAD) to train and validate our classifier.Each sample from the subset is re-sampled from 100Hz to 50Hz then normalized.We investigated different, widely used, feature normalization methods, which consist of normalizing all features in the same range, and we showed that feature normalization is not suitable for our data.On the contrary, sample normalization, which consists of normalizing each sample of our dataset individually, improved the accuracy of our classifier by ∼16% compared to using raw data.Our classifier exceeded 99% on training data, compared to ∼83% when using raw data.To test the efficiency of our classifier, we applied it to real continuous seismic data from XB Network from Morocco and compared the results to our catalog containing 77 earthquakes.Our results show that we could detect 75 out of 77 earthquakes contained in the catalog.
Context Aware Photo Protection for In-Situ Sharing

People nowadays are getting used to using mobile phones for daily photography, and sharing these precious moments online or in-situ with their friends. However, there is a potential risk of privacy leakage during the in-situ photo sharing process. To address this risk, we propose OASIS, a cOntext Aware photo protection for in-SItu Sharing behavior: using the front camera to tell different viewer, OASIS customize viewer’s photo gallery seamlessly between different viewers according to the context of the photo. In this way, we can provide viewers with a good sharing experience while protecting the privacy of the owner. The paper is presented at MobileHCI 2020 Doctoral Consortium.
Implementasi Data Center Pada Cloud Computing Menggunakan Ubuntu Metal As A Service Di Jaringan Dualstack

The Develpoment of technology is currently very rapid. For example in the field of data storage. Almost all of the data that has been stored are important. This can cause full capacity on the hard drive. Hard drive also had usage time. This can cause on the data that has been saved risked lose or corrupt. Data Center is a service from Cloud computing which can save data by online anywhere and anytime via internet connection. GlusterFS ensures data is duplicated between nodes. Pacemaker ensures the server is always available. MAAS is a Cloud computing service that can make a virtual center (node) where the node will used as a data center that are connected to each other. This research concluded that the success of uploading and downloading using IPv4 and IPv6 with a percentage of 100% and the success of the failover and failback method obtained an average of 66.67% success data in performing server expertise
Tag 'em and bag 'em : Gallring av arkeologiskt material i museers samlingar

Archaeologists excavate to find out more about our prehistory. The more artifacts we dig up and preserve the more the potential to extract knowledge about the past from them grows. But some people ...
Recent Advances in Digital Image Analysis Applied to Metal Forming

Digital image analysis is used, among other things, to see how an object’s surface changes over time. This technology can be applied to metal forming. A complete literature review of the recent advances in the application of such image analysis to metal forming processes is presented. We analyze how researchers apply the technique to different tests (tensile, bending, or fatigue tests), observing the advantages it presents compared to conventional methods, as well as the advances that have been made regarding the methodology used throughout the last years, including an analysis of the different existing patterns and their application procedures. We found that the image analysis has great applicability and that, in addition, the data obtained through it have high reliability when compared with numerical results. In the paper, the advantages of using Digital Image analysis applied to metals characterization are reviewed, and some examples of using this technique are also presented.
Library Guides: Diverse STEM Reading: a Layer Cake of Problems: Home

Discover some of the diverse STEM books, documentaries, podcasts, and other items available from the ISU Library and on the web, and learn how to find more of these materials. This guide was made to accompany a 2021 ISCORE presentation.
Implementation of Expert System in Diagnosing Torch Disease Using The Certainty Factor Method

The development of science and technology is currently very fast in line with the increasingly high human needs. Technology that develops in accordance with the demands of the times is a very supportive means of dealing with various problems that exist in hospitals, agencies and other organizations. TORCH disease is not a disease that cannot be cured but must be watched out for especially in pregnant women because of the consequences that can occur to the fetus such as physical disabilities, mental disabilities or spontaneous abortion. TORCH stands for Toxoplasma, Rubella, Cytomegalovirus and Herpes II. Expert system application to determine the TORCH virus using the certainty factor method.
Combination of Decision Tree and K-Means Clustering Methods for Decision Making of BLT Recipients in the Covid-19 Period

The economic conditions during the Covid-19 outbreak had an impact on society globally. The number of people who have experienced layoffs has an impact on the economic conditions of the family. The economic impact that helps the community encourages the government to increase efforts to increase social assistance in the form of BLT. However, the distribution of BLT was not right on target, there were still many people who really could not afford not to receive BLT, while those who were still able to get BLT assistance. Therefore, it is important in this study to use a combination of the K-Means Cluster and Decision Tree methods to be used in BLT recipient decision making, with the aim of increasing BLT recipients as expected. The calculation results were obtained using a combination of the K-Means Cluster and Decision Tree methods referring to the criteria for the community who has the right to receive data with an error level of -2.476190476 &lt;from error tolerance 6.84.
Evaluation of TellYourContacts.org, a Patient-Initiated Digital COVID-19 Contact Notification Tool.

BACKGROUND: Contact notification is a method used to control the spread of infectious disease. In this process, a patient who tests positive for an infectious disease and public health officials work to identify the patient's close contacts, notify them of their risk of possible exposure to the disease, and provide resources to facilitate the decreased spreading of disease. Contact notification can be done physically in person, via phone call, or digitally through the use of media such as SMS and email. When alerts are made through the latter, it is called digital contact notification. OBJECTIVE: This study aims to perform a preliminary evaluation on the use of TellYourContacts.org, a COVID-19 digital contact notification tool that can be used confidentially and anonymously, to gather information about the quantity of website users and message senders, the types of messages sent, and the geographic distribution of senders. METHODS: Patients who chose to get tested for COVID-19 and subsequently tested positive for the disease were alerted of their positive results through Curative, Inc., a COVID-19 testing laboratory, and Healthvana, a results disclosure app. Included in the notification was a link to TellYourContacts.org and a message encouraging the COVID-19 positive patient to utilize the website to alert their close contact of exposure risk. Over the course of three months, from May 18th, 2020 to August 17th, 2020, we utilized Google Analytics and Microsoft Excel to record data on the quantity of website users and message senders, types of messages sent, and geographic distribution of the senders. RESULTS: Over the course of three months, 9,130 users accessed the website. Of the users, 1,474 unique senders sent a total of 1,957 messages. Of those messages, users sent 1,820 (93%) SMS messages and 137 (7%) emails. Users sent messages from 40 states, with the majority of United States senders from California (49%). CONCLUSIONS: We set out to determine if individuals who test positive for COVID-19 will utilize the TellYourContacts.org website to notify their close contacts of COVID-19 exposure risk. Our findings reveal that, during the observation period, each unique sender sent an average of 1.33 messages. TellYourContacts.org offers an additional method that individuals can and will use to notify their close contacts.
Approach with pedagogical methods in the formation of professional culture of pre-school educational organization educators

The article highlights the need for a highly professional culture for the comprehensive formation of knowledge, skills and skills of pre-school teachers and the pedagogical methods of the formation of this culture. To do this, the educator must first immediately express his attitude to pedagogical situations that consist of trainees of different character, often changing in the group community and give him a fair assessment. As a result of thinking and feeling, testing in marriage, universal and national-moral qualities, rules, norms become the moral virtue of the educator himself.
Applications Learning Musical Instruments in Indonesia Using Augmented Reality Technology

The 3-dimensional animation designed and presented as learning media has grown rapidly nowadays, 3-dimensional animated characters in regional musical instruments can be one of the learning media for the general public especially children. How to present different learning 3-dimensional animation content, can attract the general public and children to learn, one of them using augmented reality technology. Augmented reality is the practice of combining image media with a 3-dimensional object that brings out 3- dimensional objects from cyberspace to the real world. This way can be a form of learning, where users can see and understand that learning can be conveyed through efficient learning, in the concept of augmented reality, users not only play with this application but can Learn knowledge about regional musical instruments in Indonesia. Development of the learning system of Multimedia applications regional musical instruments in Indonesia using Augmented Reality technology is able to provide knowledge in learning that is not only in general public but also for children Children who want to add insight into the knowledge of regional culture art, especially local musical instruments in Indonesia
Dynamic request redirection for mining system services under Heterogeneous Distributed System

Generating the common patterns in transactional the database Apriori mining algorithm deemed among the most significant. Apriori mining algorithm is an association concept mining masterstroke algorithm. Enhanced possibility of the many-core processors allows one to update the algorithms and the applications in order to achieve the computing power from many-core sources, which finds sets of a regular item are higher in terms of machine usage and power of CPU. The simultaneous frequency item sets mining algorithms to provide the direction to resolve the problem of the distribution of candidates between processors.
A multi-swarm optimisation approach for spam detection in online social networks

Online Social Networks (OSNs) play a crucial role in communication systems for rapid message broadcasting and information sharing. Facebook is one of the popular OSNs that has the highest number of active users as per the statistical reports. However, it witnesses challenges due to the presence of spammers, whose actions may make the environment unfavourable for users. The spammers hold social accounts that are particularly created for personal benefit. As the number of users on Facebook increases, the number of illegitimate accounts proportionally rises, which leads to distress in the OSN environment. Several methods have been proposed in the literature to address the spam profile detection problem; however, they become obsolete as the spammers evolve. Hence, in this paper, a novel Multi-Swarm-Whale Optimisation Algorithm (MS-WOA) is proposed for feature selection to detect spam profiles on Facebook. Further IP-address-based features tailored for Facebook are also proposed. The performance of the proposed MS-WOA is compared with the recently developed methods and outperforms them in terms of accuracy and robustness.