Reviewerly/exHarmony huggingface dataset:
직장여성의 연도별 출산 계획 변화 및 관련요인 분석

Purpose: The aim of this study is to identify factors of Korean female workers'' childbirth plans and to establish measures to improve the childbirth plan. Methods: Study subjects were selected part in the 1st, 3rd, and 5th year surveys of the Korean Longitudinal Panel Survey of Women and Families. The selection criteria were as follows: women who had a spouse; were salaried workers currently employed for the last one month; belonged to a childbearing age; and had less than 3 children. Logistic regression analysis was conducted to investigate factors associated with childbirth plans. Results: Childbirth plans by female workers decreased each year. The analysis of associated factors revealed that age, number of children were associated factors in all years. In addition, education, satisfaction about dividing household chores with the husband, and satisfaction about working environment were associated with the lack of planning for childbirth in female workers in the 1st survey year. Satisfaction about dividing household chores with the husband, family-work conflict, and satisfaction about the potential for personal development were associated factors in the 3rd survey year. Finally, family-work conflict, satisfaction about employment stability, and satisfaction about job task at work were associated factors in the 5th survey year. Conclusion: It is important to know the measures focusing on the lack of planning for childbirth, and hence these factors can be improved by assessing in general, family, and occupational characteristics. Additionally, employer policies regarding women employees who are pregnant or have children at home need to be reviewed.
A Case Study of Language Transfer into Language Attrition

The phenomenon that language transfer turns into language attrition is seldom concerned by language researchers. From the perspective of theoretical comparison, the two are not the same in the carrier, influencing factors, intergenerational relations and existing form, which is one of the reasons for less attention. In a more than two-year follow-up survey of a subject who has lived in Korea for more than ten years, it is found that the word "Yushun" has successfully replaced the word "Yuxu" (word order) from the subject''s mental lexicon, and repeated regression reminders have been made in the study, but the word "yuxu" still shows no sign of regression. To be sure, we can guess and even have reason to believe that if the subject return to their native language environment for a long time in the future, the word "Yuxu" can still regression to their mental lexicon. But unfortunately，in more than two years'' follow-up survey, only one case of language transfer transformed into language attrition was found from a large number of corpus. In other words, it is not easy to capture the phenomenon that language transfer turns into language attrition.
Step by Step Guide to Content Analysis for Study Abroad Research

This paper intends to show four practical steps for content analysis; one of the most common data reduction approaches in qualitative analysis for applied linguistics. Although content analysis can help to draw conclusions from textual data by interpreting them effectively, the available literature lacks detail on how to conduct content analyses, especially in the context of study abroad research. In this paper, each of the four steps of content analysis (segmenting data, formulating codes, developing categories, and identifying main themes) is explained by utilizing actual sample data related to studying abroad; the sample study investigated a single participant’s perceptions of a general English language course in the United Kingdom. 本文は、応用言語学の質的研究で最も普及しているデータ削減手法の一つである、 内容分析の実践的な方法について示すものである。内容分析は、テキストデータを 効果的に解釈し、結論の導出に役立つ一方、特に海外留学研究において、内容分析 の方法に関する詳細を説く文献は限られている。そこで本文では、内容分析の 4 段 階（データの分割、コードの作成、カテゴリー化、そしてメインテーマの見極め） について、留学に関連する実際のサンプルデータを活用して説明を行う。尚、サン プル研究は、イギリスでの英語研修に関する一人の参加者の見解を調査したもので ある。
DIAGNÓSTICO E TRATAMENTO MEDICAMENTOSO EM CASOS DE TUBERCULOSE PULMONAR: REVISÃO DE LITERATURA

Tuberculosis is caused by a mycobacterium belonging to the Mycobacterium Tuberculosis group, which is characterized by being a disease responsible for thousands of deaths worldwide and is classified as a public health problem. This paper is based on a literature review whose objective was to present relevant information on the prevention, transmission, diagnosis and treatment of pulmonary tuberculosis, obtaining data on the subject in an analytical and critical manner, through literary research in databases such as Scientific Electronic Library Online (Scielo), Google Scholar, Pubmed, Ministry of Health Manuals, with publications from 2009 to 2019. For the diagnosis of tuberculosis there are specific exams such as direct bacilloscopy, chest radiography, chest tomography, Diagnosis by IGRA, Molecular Rapid Test and Sputum Culture. Drug treatment is performed by therapeutic regimens that include four drugs, namely: Rifampicin, Izoniazida, Pyrazinamide and Ethambutol, with a minimum duration of 6 months of treatment. Through this literature review work, we can highlight the importance of actions aimed at the prevention of tuberculosis, since its transmission occurs through the air, and the importance of making an early diagnosis so that it can reduce the spread of the disease to prevent it. other people and the need for actions aimed at the correct adherence to drug treatment, due to bacterial resistance due to the lack of information about the correct therapy during treatment, as it is among the most killer diseases in the world.
Location Named-Entity Recognition using Rule-Based Approach for Balinese Texts

In Natural Language Processing (NLP), Named Recognition Entity (NER) is a sub-discussion widely used for research. The NER’s main task is to help identify and detect the entity-named in the sentence, such as personal names, locations, organizations, and many other entities. In this paper, we present a Location NER system for Balinese texts using a rule-based approach. NER in the Balinese document is an essential and challenging task because there is no research on this. The rule-based approach using human-made rules to extract entity name is one of the most famous ways to extract entity names as well as machine learning. The system aims to identify proper names in the corpus and classify them into locations class. Precision, recall, and F-measure used for the evaluation. Our results show that our proposed model is trustworthy enough, having average recall, precision, and f-measure values for the specific location entity, respectively, 0.935, 0.936, and 0.92. These results prove that our system is capable of recognizing named-entities of Balinese texts.
Subject Guides: Welcome to Special Collections: A Guide to the University Archives

A guide to visiting the Special Collections department at the University of Iowa Libraries. What is in the University Archives and how do I find it
LibGuides: Communication Skills: Email

This secton looks at communicaton and presentation skills, their importance and how you can improve them The page describes best practices for communicating via email
Central bank digital currency and monetary policy: a literature review

Rapid digitalisation of payments leads to greater cost and time efficiency, yet could also potentially trigger legal and security challenges as well as lead to weakening of finan- cial stability and less effective monetary policy transmission. In order to ensure greater safety, central banks are contemplating and testing solutions thanks to which public using payment innovations could transact in funds that are ultimately backed by central bank. One of these solutions is central bank digital currency, a digital version of cash. The pro- posed versions of central bank digital currency are very diverse. Depending on the version assumed by a particular central bank, central bank digital currency can have an impact on central bank interest rate setting, monetary policy implementation and transmission mechanism. This relates most notably to effective lower bound which could either rise or fall, conditional on design on central bank digital currently.
The Fourth Industrial Revolution, the changing world of work and imperatives of internationalisation in higher education

We are seeing major disruptions to higher education, and the education system as a whole, not only at home but globally. One of the major contributors to such disruptions is the paradigmatic shift brought about by the Fourth Industrial Revolution (4IR), with massive implications for the world of work, and by extension in higher education through the learner of the future.
전이지대의 음운론적 연구 : 창녕･달성 지역을 중심으로

This study examined the linguistic backgrounds and dialectal characteristics of Changnyeong and Dalseong regions, which are located in the transitional area between Gyeongsangnam-do and Gyeongsangbuk-do. It was confirmed that the language of each region was not severed but share many commonness based on various characteristics found in the transitional area existing discussions and field surveys, As a result, 19 (18) consonants were realized by elderly people and 19 by young people in Changnyeong and Dalseong regions. In the case of vowels, six by elderly people and Seven vowels by young people. Also, it was investigated that language variations, such as Word-initial Glottalization, palatalization, and umlaut, were more active in the Changnyeong region than Dalseong region. The difference between these three variations can be attributed to the perceptions and attitudes of older speakers.
Studi Komparasi Hasil Foto Dan Video Antara Mirrorless Camera Dan Iphone

As technology such as digital camera advances, now the mirrorless camera is already invented, where this device is much lighter and easier to use compared to the DSLR. However, in this digital age, cameras can now be attached to other equipments, most notably cell phones and since people are almost never separated from cell phones, mirrorless cameras may start falling behind. This research will determine the differences between the iPhone and mirrorless camera. It will also try to determine which type of camera the public prefer.
Cognitive activity as an important element of the educational process in a modern school

The activation of the cognitive activity of students is one of the urgent problems at the present level of development of pedagogical theory and practice. In the process of cognition, such forms of mental activity as foresight, imagination, intuition are involved. They are based on accumulated knowledge and make it possible to predict the further development of objects and phenomena of the surrounding reality. It is necessary to activate the cognitive activity of students and increase interest in learning at every stage of any lesson, using various methods, forms, and types of work for this: a differentiated approach to children, individual work in the lesson, various didactic, illustrative handouts, technical teaching aids, and others. Key words: modern pedagogy, cognition, lesson, cognitive activity, psychology
Effectiveness of a training program on knowledge and practice regarding basic life support

Basic life support is one of the most fundamental components of emergency medical interventions. Human being had experienced health problem and immediately need of the health assistance to recover from condition especially in emergency condition, health assistance are used basic life support practices to save the life of an individual. The objectives of the study were to assess the knowledge and practice of high school students regarding BLS and assess the effectiveness of BLS training program on knowledge and practice of high school students. A quantitative approach with Pre-experimental pretest-posttest design was used for this study. The sample consisted of 100 students by convenient sampling technique. The mean percentage difference between pre-test and post-test knowledge and practice score of high school students showed 3% of enhancement with the t value 15.99 at p=0.00 and 12.7% of enhancement with the t value 32.76 at p=0.00 level. Training program was effective to improve knowledge and practice high school students.
Neural Response Interpretation through the Lens of Critical Pathways.

Is critical input information encoded in specific sparse pathways within the neural network? In this work, we discuss the problem of identifying these critical pathways and subsequently leverage them for interpreting the network's response to an input. The pruning objective -- selecting the smallest group of neurons for which the response remains equivalent to the original network -- has been previously proposed for identifying critical pathways. We demonstrate that sparse pathways derived from pruning do not necessarily encode critical input information. To ensure sparse pathways include critical fragments of the encoded input information, we propose selection via neurons' contribution to the response. We proceed to explain how critical pathways can reveal critical input features. We prove that pathways selected via neuron contribution are locally linear (in an L2-ball), a property that we use for proposing a feature attribution method: pathway gradient. We validate our interpretation method using mainstream evaluation experiments. The validation of gradient interpretation method further confirms that selected pathways using neuron contributions correspond to critical input features. The code is publicly available.
7 Best Game Auto Clickers in 2020 (Windows, Android & Mac)

Yes, there is nothing more annoying and boring that repetitive clicking of a mouse, no matter how exciting the game you are playing is. Unfortunately, ...
The DevOps Goes to the Embedded System

Lately, DevOps has been widely discussed in various papers, in addition the industry has implemented it to be a solution for developing and distributing software for general purposes. However, the application of DevOps to embedded systems is still quite difficult, and there is still lack of paper to discuss it. The purpose of this study is to explore the DevOps approach in developing embedded systems. The method used in this research is to use the Object-Oriented Software Engineering approach. Various tools used to support the development of embedded systems include Visual Paradigm, Quantum Modeling. The results explain that DevOps can be applied in the development of embeded systems through Forward and Reverse Engineering. Forward engineering includes analysis, design of the class, design of the state machine, design of coding, generate code, uploading some codes into board. While reverse engineering is reverse from forward engineering. However, the applying of DevOps is not still one stop services. It is signed by the displacement of tools when doing state-machine design, there is a shift in the use of tools, from the visual paradigm to quantum modeling.
NPA Management using Blockchain

The usage of Blockchain Technology has been increasing rapidly across the various business sectors. Multiple industries across various sectors are adopting it for its immutability, transparency, tamper proof-ness, and its distributed nature. As such, the banking industry is looking at it intently to solve a variety of problems it currently faces. One of them is NPA management. Especially in India, this is a big issue as the rate at which NPAs are growing is very high. This paper aims to find a potential solution to this problem by developing a blockchain model conceptually which uses smart contracts to effectively manage NPAs. Timers or Loop code concept in a smart contract has been utilized to keep track of a loan as it becomes an NPA. Different scenarios have been provided to explain the working of the concept. An example use case has been elaborated upon as well. The paper developed a conceptual model that is effective in managing NPA as well as it provides a scope for government, NPA as well as external auditors to monitor the state of NPAs of a bank. This paper also provides the scope to further develop the model by creating a working blockchain-based model.
A distributed architecture for large scale news and social media processing

When designing a data processing and analytics pipeline for data streams, it is important to provide the data load and be able to successfully balance it over the available resources. This can be achieved more easily if small processing modules, which require limited resources, replace large monolithic processing software. In this work, we present the case of a social media and news analytics platform, called PaloAnalytics, which performs a series of content aggregation, information extraction (e.g., NER, sentiment tagging, etc.) and visualisation tasks in a large amount of data, on a daily basis. We demonstrate the architecture of the platform that relies on micro-modules and message-oriented middleware for delivering distributed content processing. Early results show that the proposed architecture can easily stand the increased content load that occasionally occurs in social media (e.g., when a major event takes place) and quickly release unused resources when the content load reaches its normal flow.
Research Guides: Library FAQ: Database Login Issues

A hub for frequently asked questions regarding Academy of Art University Library resources.
Continuous water level monitoring using time-lapse imagery

&amp;lt;p&amp;gt;Monitoring ephemeral and intermittent streams is a major challenge in hydrology. While direct field observations are best to detect spatial patterns of flow persistence, on site inspections are time and labor intensive and may be impractical in difficult-to-access environments. Motivated by latest advancements of digital cameras and computer vision techniques, in this work, we describe the development and application of a stage-camera system to monitor the water level in ungauged headwater streams. The system encompasses a consumer grade wildlife camera with near infrared (NIR) night vision capabilities and a white pole that serves as reference object in the collected images. Time-lapse imagery is processed through a computationally inexpensive algorithm featuring image quantization and binarization, and water level time series are filtered through a simple statistical scheme. The feasibility of the approach is demonstrated through a set of benchmark experiments performed in controlled and natural settings, characterized by an increased level of complexity. Maximum mean absolute errors between stage-camera and reference data are approximately equal to 2 cm in the worst scenario that corresponds to severe hydrometeorological conditions. Our preliminary results are encouraging and support the scalability of the stage camera in future implementations in a wide range of natural settings.&amp;lt;/p&amp;gt;
A Study on the Acquisition of Chinese Adverbs for Korean L2 Learners

In this paper, in order to examine the Korean learners of Chinese adverbs acquisition situation, analyzes the Chinese native speakers corpus and Korean learner corpus. The statistics Korean learners and Chinese native speakers of Chinese use frequency adverbs, summarizes the using the characteristics of 36 basis adverbs and compared the differences of them. At last, through data analysis of changes in the Korean learners use adverbs and the relationship between Chinese proficiency. (1). The use of Chinese adverbs in Korean learners is single and concentrated; (2). In terms of the number and usage of adverbs, Korean learners use too many adverbs; (3). According to the order of native speakers’ usage frequency, the surplus of adverbs used by Korean learners is concentrated in medium frequency adverbs; (4). Starting from Grade B, the acquisition level of basic adverbs of Korean learners is gradually improved, and the excessive use of adverbs is correspondingly reduced, and the higher the Chinese level of Korean learners, the more frequently they use medium frequency adverbs. According to the characteristics of Korean learners’ acquisition of Chinese adverbs, this paper puts forward some Suggestions on teaching Chinese adverbs in Korean, so as to provide reference for teaching Chinese adverbs in Korean, compiling textbooks, classifying adverbs and evaluating learners’ levels.
A HYBRID MODEL TO ANALYZE THE WEB URL USING URL FEATURES AND VISUAL FEATURES

Nowadays, malicious URLs are the regular danger to the associations, easygoing networks, and netbanking. Existing systems have focused on twofold prominence i.E., both the URL is malicious or friendly. Close to no composing is resolved which revolved around the fame of malicious URLs and their attack sorts. In this manner, it gets basic to perceive the attack kind and typify an achievable countermeasure. This paper proposes a technique to characterize the site page dependent on URL, Content and Visual Features of the Webpages am executing the staggered classifier to order the site pages. We propose a Hybrid model to break down the web URL our model arranged into e steps Step 1: Basically URLs and the kind of assaults dependent on multi-class characterization. In this work, we propose 42 new highlights of spam, phishing and malware URLs. Double and multi-class dataset is developed utilizing 49935 malicious and kindhearted URLs. It comprises of 26041 amiable and 23894 malicious URLs containing 11297 malware, 8976 phishing and 3621 spam URLs. We actualize a demo model to check the URL whether it is malicious, malware or phished. At the point when the url properties are reached the any of the grouping we send a programmed alarm to the analyser for better improvement of the pursuit.Stage 2:In the wake of breaking down the URL at that point will secretive looked through url substance to image. In the wake of changing over the image we separate the highlights and applying the perceptual image hashing framework utilizing which we can distinguish bona fide and non-true website pages utilizing prepared and test datasets and remove image choices dependent on four phases as They are the Transformation stage, the Feature extraction stage, the Quantization stage and the Compression and Encryption stage. In the Transformation stage, the info image experience uncommon or potentially recurrence change in order to make all extricated choices depend either on the estimations of image pixels or on the image recurrence coefficients. Highlight Extraction stage permits the perceptual image hashing framework to extricate the image alternatives from the informationimage and acquire the ceaseless hash vector. When the constant perceptual hash vector is acquired it is then quantized into the discrete hash vector inside the Quantization stage. Presently the discrete hash vector is changed over to parallel perceptual hash string in third stage. At last, the parallel perceptual hash string is compacted and scrambled into a brief and a last perceptual hash in the Compression and Encryption stage. Exploratory outcomes execution and improved the discovery rate exactness by contrasting the current models like AI models, for example, SVM, RFC.
Benchmarking Embedded Chain Breaking in Quantum Annealing

Quantum annealing solves combinatorial optimization problems by finding the energetic ground states of an embedded Hamiltonian. However, quantum annealing dynamics under the embedded Hamiltonian may violate the principles of adiabatic evolution and generate excitations that correspond to errors in the computed solution. Here we empirically benchmark the probability of chain breaks and identify sweet spots for solving a suite of embedded Hamiltonians. We further correlate the physical location of chain breaks in the quantum annealing hardware with the underlying embedding technique and use these localized rates in a tailored post-processing strategies. Our results demonstrate how to use characterization of the quantum annealing hardware to tune the embedded Hamiltonian and remove computational errors.
Research Guides: Faculty Publishing Guide: ORCID: For More Information

This guide is intended to introduce ORCID and how it can assist in increasing scholarly impact.