Reviewerly/exHarmony huggingface dataset:
Future Direction for School-Linked Art Museum Education in the Post COVID-19 Era Focused on the 2020 Special exhibition for children by Daejeon Museum of Art(DMA)

뉴노멀, 언컨택트, 언택트, 온택트 등을 특징으로 새로운 기준 설정과 변화를 요구하는 포스트 코로나 시대에 학교와 미술관은 어떤 관점을 가지고 공생 관계를 지속해나가야 할 것인가가 본 연구의 출발점이 된 고민이었다. 모두 다 온라인으로 몰려가면서 디지털 플랫폼을 요구하는 이 때 변해야 할 것과 변하지 말아야 할 것은 무엇이며, 이것이 학교와 미술관과의 연계에서는 어떻게 적용되어야 하는지 등에 대한 고찰과 더불어 이에 대한 방향 설정이 필요해 보였다. 이러한 배경과 필요성에기초하여 본 연구에서는 포스트 코로나 시대 피해가 컸던 문화예술교육 중에서 학교와 연계한 미술관교육의 미래와 방향을가늠해보고자 학교미술교육에서의 미술관교육과 더불어, 미술관에서 이루어지는 초·중등학생들을 위한 전시와 교육을 중심으로 학교미술교육과의 연계를 살펴보았으며, 포스트 코로나 시대 어린이 미술 전시 사례로서 대전시립미술관의 ‘환상, 상상, 도시 Imagine the City’ 기획전을 분석하였다. 연구 결과로 포스트 코로나 시대 학교 연계 미술관교육의 방향을 3가지로제안하였으며, 이를 위해서는 학교와 미술관의 모든 관계자와 매개자가 무엇보다 중요함을 논하였다.In the post COVID-19 era characterized by new normal, uncontact, untact and ontact, a new standard setting was required. The starting point of this study was the question of what point of view schools and art museums could maintain symbiotic relations at a time when change was required in these days. When all of them were rushing to online and demanding new digital platforms, it seemed necessary to consider what needed to be changed and what should not be changed, and how it should be applied in the connection between schools and art museums. For getting a bead on the future and direction of art museum education linked to schools, this study conducted art museum education in school and exhibitions and education in art museums. Focusing on the linkage, and as an example of children s art exhibition, the special exhibition of Imagine the City by DMA was analyzed. Based on this analysis, three directions were proposed, and it was discussed that all officials and intermediaries of the school and art museum were important.
LibGuides: BKM Guide to Museums in Lancaster County: Home

Learn about the many museums Lancaster county has to offer, including some you can visit for free with a pass from your local library!
Implementing Electronic Voting System Using Block chain

Traditional elections satisfy neither citizens nor political authorities in recent years. They are not fully secure since it is easy to attack votes. It threatens also privacy and transparency of voters. Additionally, it takes too much time to count the votes. Electronic voting (e-voting) is an electronic means for casting and counting votes. It is an efficient and cost-effective way of conducting a voting procedure. However, it’s been challenging to develop an online voting system that can satisfy the legal requirements of a democratic country. The main concerns are the security of networking and privacy of communication for e-voting have been grown.In this paper, an empirical review has been performed to understand issues faced by a voting system besides with Blockchain-based solution as a better alternative for providing a more transparent and error-free voting system. All the related papers are have been studied here along with an abstract view of the proposed system that we are going to implement. The proposed system provides high security to voter’s personal information using the IPFS decentralized file sharing platform.
서울동물원 야생동물의 임상 검체 내 Clostridium 균의 항생제 내성 분석

Clostridial bacteria are zoonotic agents, which cause severe necrotizing enteritis, pseudo-membrane colitis, enterotoxemia to both humans and animals. The objective of this study was to monitor the antibiotic resistance of Clostridium isolates on clinical specimens from wild animals in Seoul zoo for 5 years. Clostridium isolates were verified by using Vitek2 compact machine. Antibiotic susceptibility was assessed by antibiotic disc diffusion test, which was followed by Kirby-Bauer disc diffusion test method. The frequency of Antimicrobial resistance of Clostridium isolate was the greatest in gentamicin (87%), then in order of amikacin (80%). There were 55.6% of Clostridium isolates showed multiple drug resistance (MDR). These results showed that a lot of Clostridial bacteria from wild animals in Seoul zoo were acquired antibiotic resistance. Because of the wild animal’s aggressive manner, it has been hard to collect clinical samples from wild animals in a zoo to exam antibiotic susceptibility. For these reasons, empirical use of antibiotics has been performed in frequently. It may cause to increase the emergence of antibiotic resistance bacteria. In addition, the antibiotic resistance bacteria from zoo animals can be spread to other wild animals which inhabit around the zoo. Therefore, regular monitoring of antibiotic resistance Clostridial bacteria is important to protect animals and humans from Clostridial diseases.
Photographic repository and RTI imaging of paleopathological lesions in fetal and perinatal human remains

This repository does not include all the 43 specimens of the sample. The dataset was created with the specific purpose of showing in the most detailed way possible the lesions related to metabolic disease discovered in this sample, with the hope of being of aid to any other operator working with infantile human remains in the future. Therefore, a thorough selection of the specimens and of the lesions to be recorded and photographed was conducted. 9 standard light directions, obtained from the dome, were selected for this preliminary work. These are the zenith direction (90° above the specimen), the principal cardinal points (above, below, left and right), and intermediate light directions (upper-right, upper-left, lower-right, lower-left). In addition, two standard RTI rendering modes were adopted (Specular Enhancement and Normal Visualization). For any query, or to request pictures of other specimens, please contact the corresponding author.
صورة المملكة العربية السعودية في الصحافة القطرية في ضوء الأزمة الخليجية

This study deals with the mental image of the Kingdom of Saudi Arabia formed in the mind of the reader through the Qatari press in light of the current Gulf crisis. In order to achieve this, it was necessary to analyze the press topics of the Kingdom of Saudi Arabia in the four Qatari national newspapers: Al-Arab, Al-Sharq, Al-Watan, and Al-Raya for a full month during 2019. The Study followed the descriptive-analytical method for collecting and analyzing data. The focus was on identifying the major press topics of the Kingdom of Saudi Arabia during the study period and their local, Gulf, Arab and international topics, in addition to the classifications of general topics of political and economic news, violence, human rights ...etc, as well as analyzing press display forms, informational and spatial sources of the topics. At the end of the Study, the coverage direction of Saudi press topics, whether positive, negative, or neutral, was analyzed. The Study came out with a wide range of findings that clarify the purposes of the Qatari press in choosing the topics of the Kingdom of Saudi Arabia and the mental image it depicts about the Kingdom of Saudi Arabia in light of the Gulf crisis.
Popularity Prediction of Food Safety Internet Public Opinion Using LSTM and Attention Mechanism

Food safety is of the top priority and always causes the country’s high attention. To predict the popularity of public opinion on food safety is helpful for dealing with public events related with food safety. This paper proposes a popularity prediction model based on LSTM and attention mechanism. Firstly, an index system for evaluating the popularity of Internet public opinion is proposed, where the index weight is determined by information entropy. Different from existing prediction methods, the proposed model uses multi-index public opinion collected from multiple platforms to calculate the total popularity, and adopts an attention mechanism to capture the interaction between different indexes and platforms. The case of “LaTourangelle walnut oil” was selected for analysis. The result shows that the proposed prediction model out performes other two classical models and can predict the development trend of food safety events more accurately.
A Database-Centric Architecture for Efficient Matching of Object Instances in Context of Perceptual Anchoring

A Database-Centric Architecture for Efficient Matching of Object Instances in Context of Perceptual Anchoring
A Novel Approach for Credit Card Fraud Detection Using Machine Learning Paradigm

The brisk help in online based transactional activities raises the phony cases wherever all throughthe world and makes tremendous disasters the individuals and cash related industry. Credit card fraud isadditionally developing alongside the improvement in innovation. It can likewise be said that financial fraud isradically expanding in the worldwide correspondence improvement. Present day credit card deception is asignificant stress for most by far of the cash related organizations. Online trades become essential, basic andprofitable as a consequence of the formation of credit card. But it makes odds of making transactions fraud bythe fraudster. In order to keep up a vital separation from more fraud, there may be two concept used. One is tofind the fraud, also called fraud identification and other is fraud prevention [1]. In classification of fraudulentand genuine transaction made by credit card holder perhaps one of the best test beds for the machine learningand deep learning algorithm. In fact this task itself consists of challenges like data imbalance, concept drift, andsmall disjuncts etc. In order to tackle the scenario an ensemble based machine learning model, LogisticRegression and support vector machine are designed and identify the fraudulent transaction once transaction isbeing made. The proposed model outperforms from the literature in terms of measure of MCC is 0.894.
LibGuides: Mango Language Database: Setting up Mango Account

The guide will help patrons set up their Mango Language Database account to their library card. This guide will also help patrons set up the Mango app for smart devices.
As Simple as Imaginable - An Analysis of Novel Digital Pump Concepts

This paper focuses on how digital displacement can be achieved in a wobble plate pump by connecting thecylinders in the pump to different groups and using by-pass valves to control the flow from ea ...
THE CORRELATION BETWEEN STUDENTS’ HABIT IN WATCHING ENGLISH MOVIE AND VOCABULARY MASTERY AT THE FOURTH SEMESTER OF ENGLISH EDUCATION STUDY PROGRAM IN ISLAMIC UNIVERSITY OF KALIMANTAN

This research aims to determine whether there is a correlation between students’ habit in watching English movie and their vocabulary mastery at the Fourth Semester of English Language Education Study Program in Islamic University of Kalimantan Academic Year 2019/2020. This research used correlational research design. The researcher conducted this research toward 20 students. In conducting this research, the researcher used questionnaire to find out students’ habit in watching English movie and vocabulary test to find out students’ vocabulary mastery. The result from SPSS version 25 indicated that there enough correlation between students’ habit in watching English movie and their vocabulary mastery. It can be prove through the value of rtest(0.452) is higher than rtable (0.444). Based on the result, it could be concluded that there was significant positive correlation between students’ habit in watching English movie and their vocabulary mastery.
PENINGKATAN KETERAMPILAN MENYIMAK TEKS EKSPOSISI MELALUI MODEL PEMBELAJARAN COMPLETE SENTENCE

There were several reasons for conducting this study, students’ lack of concentration, unconducive classroom and students’ listening ability in exposition text were still low in listening comprehension. Therefore, the teacher must choose and apply an effective teaching learning model to improve students’ abilities in listening exposition text. This study aims to improve students’ abilities in listening exposition text through complete sentence model and investigated students’ responses through teaching listening exposition text by using complete sentence model. The pre-experimental design with one-group pretest-posttest design is the research method of this study. The class was given pre-test and post-test to know the students’ abilities before and after treatment. The questionnaire also used to gain the data about students’ responses through teaching listening exposition text by using complete sentence model. The research finding shows that the model complete sentence is effective to improve students’ ability in listening exposition text. The indicators of the success of by using SPSS 20.0 are that: (1) the mean of pre-test result was 56,29 and post-test result was 77,14 (2) the students’ responses through questionnaires found that the application complete sentence model was very positive.
On Solving the Shortest Basis Problem Based on Sequential Reduction

Low-complexity lattice reduction algorithms are generally not optimized for solving the shortest basis problem (SBP). We fill this blank by tweaking the recently introduced sequential reduction (SR). In a quest for developing a provable and low-complexity reduction algorithm under the SR framework, we propose to employ successive interference cancellation (SIC) as a subroutine inside SR, and the whole algorithm is referred to as SR-SIC. On the theoretical front, we prove that the upper bound on the basis length of SR-SIC is better than those of major Lenstra, Lenstra, and Lovász (LLL) based variants when the dimension of the lattice basis is no larger than 4. In practice, we show by simulations that SR-SIC yields higher information rate than LLL when designing integer-forcing linear receivers, in which SR-SIC also enjoys lower computational complexity.
Predictive Modeling of Academic Performance of Online Learners Based on Data Mining

This paper conducts a methodological research on the academic performance of online learners. This paper applies classification models commonly used in data mining algorithms, such as random forests based on decision trees, support vector machines, neural networks, K nearest neighbor algorithms, etc., combined with data mining tools S software and statistical analysis tools, and analyzes the University of Finance and Economics Tools scores of online learners in the class of 2019. It studies the important factors that affect the academic performance of college students' online learners, and uses these factors to predict students' academic performance. Based on the distance calculation method in mathematics, the article separately studied the application of Euclidean distance correlation analysis algorithm and correlation coefficient correlation algorithm in curriculum relevance, and compared several correlation algorithms. Experimental research results show that in the era of big data, learners will accumulate a large amount of structured and unstructured data during online learning. We can explore the influencing factors of online learners' academic performance through data mining technology, and we can also use machine learning to automatically learn from the data to the academic performance prediction model.
Atuação da enfermagem na assistência prestada ao paciente obeso mórbido no pós-operatório de cirurgia bariátrica

Introduction: It is essential to pay special attention to the morbidly obese patient who is submitted to bariatric surgery, due to his condition, emotionally weakened, and possibly with other comorbidities. These aspects reinforce the need for a qualified nursing team to assist you in the immediate postoperative period, ensuring a recovery without complications and complications. Objective: To identify the role of nursing in the care provided to morbidly obese patients in the postoperative period of bariatric surgery in a private hospital in Serra Gaucha. Materials and Methods: This was a descriptive quantitative research, whose data were collected through a questionnaire, with 41 nursing technicians and 7 nurses who work as participants. his activities in the post-anesthetic recovery room and inpatient sector, in a private hospital of Serra Gaucha every shift. For data analysis, descriptive statistics was performed. Results and Discussion: The research identified that respondents had doubts about specific care for this audience and difficulties related to physical spaces, materials and equipment to address the patient at the time of postoperative bariatric surgery. It was noted, however, that even in the face of these needs, the nursing staff is able to perform nursing care. Conclusion: The research showed that it is necessary to reform the physical spaces of the institution and adapt some furniture and equipment to improve the care and well-being of these patients, besides investing in care protocol, training and training for professionals.
Modern formats of methodical training of students majoring in biology

The paper is devoted to the study of students attitude to the process of methodical training in high school. The authors describe some examples of the formatting of the methodological training of biology students, such as the form of education, the educational format, the format of training and others. The authors present the analysis results of student survey about the preferences in choosing one format or another; the principles for the inclusion of new formats in the learning process in higher education institutions were defined. The paper shows that, at the present stage, the formats of methodical training, based on the direct interaction of all subjects of the educational process, are the most demanded ones by students, while learning formats on the Internet space are less attractive for respondents. The authors of the paper, on the basis of students views study, found that the development of other subjects of the educational process and the continuous improvement of their qualifications are most important for the successful formatting of the methodological training of a teacher-biologist. The principles of new formats inclusion into the learning process presented by the authors in this paper focus it on expanding the boundaries of educational systems in accordance with modern trends in education the development, noted in new educational standards.
The Practical Teaching System of Computer Basic Course

In the era of information and diversification, the basic computer course as a general course plays an important role in improving students’ information literacy and modern skills. In this paper, aiming at the problems existing in the traditional course system, the practical teaching system at different levels is proposed to cultivate students’ application and innovation ability.
FP-Growth Implementation in Frequent Itemset Mining for Consumer Shopping Pattern Analysis Application

Most retail companies have implemented computer-based information systems for recording sales transaction data. In the implementation of information systems, the data collected in the database is processed limited to making reports such as sales reports and inventory reports. Database generated from computer-based information systems can be further processed to obtain more valuable information. One strategy for using sales transaction data is to analyze consumer spending patterns. Consumer spending patterns can be in the form of associations of items that are often purchased simultaneously. The association between goods can be determined using the frequent itemset search technique. The Fp-growth algorithm is an algorithm that can be used to determine frequent itemsets in a data set. This article describes the results of implementing the FP-Growth algorithm in the consumer shopping pattern analysis application. The resulting shopping pattern is in the form of goods that are often purchased simultaneously by consumers. From the results of the application of the fp-growth algorithm, it was found that the minimum value of support had an effect, namely the smaller the input value of support, the more pairs of items were obtained. The application of the FP-Growth algorithm in determining frequent itemsets in association data mining can find customer spending habits in buying goods simultaneously.
Instructing workers through a head-worn Augmented Reality display and through a stationary screen on manual industrial assembly tasks : A comparison study

It was analyzed if instructions on a head-worn Augmented Reality display (AR-HWD) are better for manual industrial assembly tasks than instructions on a stationary screen. A prototype was built whi ...
Image Enhancement of Face Recognition Based on GAN

Face recognition technology has attracted attention as people pay more and more attention to facial information, and has become a hot research topic. In this experiment, the training learning rate is set to 0.0004, 64 images are randomly loaded in a single loop, and then noise is added to start training. The cyclic process can be described as: First, the generator G generates output, and then the discriminator D performs the discrimination, and the generation loss and the discrimination loss are calculated by the output of the generator G and the discriminator D. Experimental data shows that a face database is formed through feature extraction and training of the face database. Then, randomly extract images for detection and recognition, and finally match the features in the feature library. The experimental results show that the accuracy of face recognition is 88.11% when the original data is used for 1000 iterations. The data filled with samples generated by GAN is used for training, and the accuracy of face recognition is 93.76%. There is a significant increase. At present, face verification and recognition still have difficulties in the application of computer science, and the generative confrontation network has made certain breakthroughs in the description of image generation.
OPTIMALISASI SISTEM SENSOR KEBAKARAN DIATAS KAPAL KM. PANORAMA NUSANTARA DI PT. JANATA MARINA INDAH

Fire Sensor is a tool that functions to detect fires early, so that fires that occur do not develop into larger ones. With the detection of a fire, efforts to extinguish the fire can be done immediately, so as to minimize losses from the start if a fire occurs. So that all parts of the ship can be protected from fire, it is necessary to install a fire sensor to minimize a fire, the parts of the ship that must be installed are fire sensors that are engine rooms because there is a lot of fuel and heat caused by operating the engines so that the possibility of occurring fire is very large, the other part is the Engine Control Room in this section is also prone to fire because in this section there are a lot of cables that can occur at any time electrical short circuit, the next part is the deck in this section there must also be a fire sensor because many cables cable so the possibility of fire is also very high. Damage to the detector usually results in damage from a long life and must be replaced immediately but the replacement is too late. Usually the damage is due to the amount of dust that is already attached so as to obstruct the optical system in it, this will damage the electronic system circuit inside. In this type of damage the Panel informs the active detector which means there is one detector active so the alarm is active. Alerts in cases like this will not stop even if you restart.To find out enough to use the AVO meter to find the connection is lost and check every connection connected with a diode. If you have tightened the connection but it is still not stable, then a new diode replacement will be carried out. For the case of trouble open, it happened once in the last 6 months.Keywords: Fire Sensor System, Broken, maintenance