Reviewerly/exHarmony huggingface dataset:
FLECK QUANTIFICATION OF THE NUMBER OF INFECTIOUS SARS-COV-2 CORONAVIRUS PARTICLES

The principle of obtaining sensors for detecting infectious particles of RNA viruses in samples was proposed for the diagnosis of infectious particles SARS-CoV-2. Previously, the similar sensor pattern was successfully applied in relation to the hepatitis C virus. It was founded that the ratio of the RNA titer, determined in the RT-PCR reaction in Real Time mode, refers to the number of infectious («shine») centers formed on the cell sensor culture, approximately as 100: 1, in the «coronavirus-positive» sample.
중국 대학 한국어 전공 학습자를 위한 내용 중심 기반 한국사 교육 방안 연구

In the curricula of Korean language departments at Chinese universities, major courses can be divided into those focusing on the learning of Korean and content courses such as Korean history, Korean politics and economy, and Korean culture, among others. Because learners who study Korean in China do not have a matching linguistic environment, opportunities to learn Korean outside of class are very rare. In order to provide learners with more time to be exposed to the Korean language, it is necessary to create opportunities for learning Korean not only in language classes but also in content courses. Moreover, findings ways to learn Korean in content courses, such as Korean history, will help to change the ongoing system, which establishes a dichotomy between language courses and content courses, thus expanding the scope of Korean language education at Chinese universities and establishing a systematic curriculum that combines language and content. In addition, Content-Based Korean history course can develop learners’ language skills while also playing an important role in improving their academic proficiency. Therefore, this study aims to find efficient ways to teach Korean history via Content-Based Instruction for Chinese learners who majoring in the Korean language at Chinese universities. For this purpose, this paper introduces the characteristics of Korean history research and education in China and then examines the current status of Korean history education as taught by Korean departments of Chinese universities. The study then defines and provides a brief overview of the different types of Content-Based Instruction. Next, the educational objectives of Korean history course are presented, dividing them into content-based objectives and language educational objectives, and five principles for selecting educational content are proposed. Finally, based on the Into, Through and Beyond models, the steps of classroom teaching are presented, with the “March 1st Movement” presented as an example of providing specific educational practice. Analyzing the content courses of Korean language departments at Chinese universities, which have not much received attention thus far, can be seen as an attempt to expand and extend Korean language education. In particular, it is meaningful to focus on Korean history course and to seek specific education plans that combine language and content learning. (Seoul National University)
Construction and Implementation of Open Computer Innovation Experiment Teaching Mode

Abstract The organic combination of open and innovative practice teaching mode and computer application helps to improve the backward practice education mode and enhance the design, comprehensiveness and innovation of innovative experimental teaching, so it has high research value. Based on this, this paper first analyses the current situation and problems of open innovation experimental teaching, then studies the construction of open computer innovation experimental teaching platform, and finally gives the implementation strategy of open computer experimental teaching mode.
Os profissionais da informação: avaliação de currículo Lattes no domínio da organização do conhecimento na era do big data

The Big Data phenomenon evidences a context in constant cultural, social, political and economic changes and also in Information with a concern in the treatment of data, to guarantee the adequate and efficient recovery, in digital environments. In this way, new horizons for information professionals are opened up. The present research presents as problematic the formation and performance of the information professional for data processing in the Big Data Age, in which the SOCs have the tools to assist in the recovery of digital knowledge. Within this context, we mean the contributions of knowledge organization (KOS) supported by technologies and contributions from other fields, such as Computer and Linguistics. Therefore, studies and research are needed to better understand the dimensions of how the information professional is preparing and dealing with the of knowledge organization in relation to the data era. In the present research, the training and performance of the information professionals working with knowledge organization together with the data were analyzed. For this, a curricular analysis was carried out by the IC professionals who approach the proposed theme. In this way, it is a general objective to investigate the profile of the IC professional in the KOS theme along with Big Data, to contribute to the development of the area. Specific objectives are to identify: I) what are the university degrees of these professionals, II) if these professionals have a postgraduate degree and in which area, III) the area where the information professionals are performing their duties. In this way, the curricula were retrieved on the Lattes platform, which is a database of the Conselho Nacional de Desenvolvimento Cientifico e Tecnologico - CNPq - Plataforma Lattes do Brasil, using the filter Area of Information Science and search terms used were big data and knowledge organization systems in all fields offered by the database. Once the quantitative survey was carried out, the university training of these professionals and their professional performance were analyzed, and the professional skills and competences of the information professional in the Big Data era were discussed. their contributions. We recovered 71 curricula that work with KOS and data, in which all these professionals concluded their doctorate, 70 of these professionals act as university professor and only 1 is not professor and is inserted in the administrative branch. It was verified that Blioteconomia is the graduation that most form information professionals working in the area of knowledge organization and data together. All the curricula analyzed have some type of training in higher education, the post graduate that stood out most was in the area of information technology.
Research on the Application of Computer Virtual Reality Technology in College Sports Training

Abstract Under the background of the overall improvement of the current social development level, the advantages of computer technology in education work are also more significant. In particular, the computer technology based on multimedia technology plays an important role in improving the quality of education. It is not much to say that the emergence of computer virtual technology not only brings new means for college physical education, but also effectively improves the teaching level. However, there are still many problems in the process of technology application. This paper carries out a detailed study on the application of computer virtual reality technology in college sports training.
Speech Recognition and Optimization Using Linear Classification Artificial Neural Network

This research studies the speech recognition process, and divides the speech recognition of linear system into four steps – speech acquisition, training, classification and results. For each part, its optimization is given. First, the effects of different feature sets of the same speech on classification results were tested. Then optimal parameter values of the neural network are found. Second, test the effect of different speech signal processing methods on speech recognition results. Present an analysis that shows whether STFT and ASTFT processing methods are effective in reducing error rate. Modify a neural network with four outputs to classify more digits. Third, the training step was modified from 10 outputs to 4 outputs (decimal to binary) and nCCs were transferred to binary for optimizing.
AN ANALYSIS OF THAI STUDENTS’ DIFFICULTIES IN PARTS OF SPEECH MASTERY

This research aimed to analyze Thai students’ difficulties in parts of speech mastery. More specifically, this research is conducted to analyze Thai students’ language background, to analyze how is Thai students’ ability in English parts of speech mastery, to examine the difficulties faced by Thai students in mastering parts of speech, and to examine the factors that cause students get difficulties in mastering parts of speech. The participants of this research were eight Thai female students who study in English Department of IAIN Salatiga.The limitation of this study is focused on Thai students’ difficulties in parts of speech. This study used descriptive qualitative research. The techniques of collecting the data are test, interview and document. The result is that there are 10.7% students who have difficulties in underline noun with the total of incorrect is 6, there are 12.5% students who have difficulties in underline pronoun with the total of incorrect is 7, there are 3.6% students who have difficulties in underline verb with the total of incorrect is 2, there are 19.64% students who have difficulties in underline adverb with the total of incorrect is 11, there are 14.28% students who have difficulties in underline adjective with the total of incorrect is 8, there are 25% students who have difficulties in underline preposition with the total of incorrect is 14, there are 14.28% students who have difficulties in underline determiner with the total of incorrect is 8. The factors that causes Thai students get difficulties in mastering parts of speech are a lack of vocabulary, rarely to improve vocabulary, synonymous words, and more than one language that is used by Thai students. Keywords: Parts of Speech, Students’ Difficulties
A speaker identification method based on deep learning

This invention lies in the field of digital audio processing, which is a speech recognition system for identifying different identities based on deep learning. The invention consists of the following steps: First of all, the preparation of sufficient data was made, and the data was also split into training and testing data. Secondly, we preprocessed the data by using Voice Activity Detection (VAD) for detecting the effective audio segments, and Mel-frequency cepstral coefficients (MFCC) for feature extraction. Then, the training data were batched into the Convolutional Neural Network (CNN) that we have already set. Simultaneously, the parameters in the CNN were adjusted, namely dropout rate, learning base rate, loss rate, in order to optimize the performance of the model. Eventually, the optimal CNN can be used for the testing data, and the identities can be recognized with an accuracy of 92.6%. In brief, the identity of the speaker can be recognized automatically without human involvement by this invention. Raw Data Mono conversion Voice Activity Detection Audio Segment transform to .mat format Training Data Figure 1
Signal Analysis Technique for Integrity Evaluation of Generator Stator Wedge

This paper proposes the signal analysis technique for the evaluation of generator stator wedge tightness. To improve the existing qualitative method based on sound inspection, an impact excitation test was performed on the manufactured test bed similar to that of the domestic 500 MW generator. Six features were selected from the frequency and time domain through analysis of the vibration and force signals generated by the impact test. Moreover, a method to visually discriminate the status of wedge tightness based on 3D space is proposed.
Precision design of differential combination torque measuring device for butt lock with in situ calibration

Abstract In order to solve the problem that the current docking mechanism of the docking lock differential combination test cannot be met, an in-situ calibrated docking lock differential combination torque measurement device is designed. The calibration device uses the torque transmission shaft to differentially lock the docking lock in high and low temperature environments. The combined torque value is transmitted to the normal temperature environment for measurement, and the in-situ calibration of the measured torque sensor is achieved through a clever design. Analyze the error sources of the device, and distribute the errors according to the device technical indicators. The calculation results show that the designed in-situ calibrated butt lock differential combination torque measuring device has a measuring system of 2.25%, and the maximum allowable error of the calibration system is 0.62%, which meets the technical specifications of the device.
A post-saccade blank interferes with transsaccadic displacement detection in real-world scenes

With each saccade the position of visual information falling on the retina shifts. Despite these transsaccadic disruptions, we perceive a stable visual world. This stability persists even when stimuli move during saccades, as shown by poor transsaccadic displacement detection (e.g., Mack, 1970). In simple stimuli, displacement detection improves dramatically when stimuli briefly disappear at the conclusion of the saccade (e.g., Deubel et al., 1994). This “blank” effect is taken as evidence that the visual system assumes stability unless provided contrary evidence like that introduced by the blank period. The present study examined whether a post-saccade blank similarly improves displacement detection in real-world scenes, as the stability assumption hypothesis predicts. In two experiments, participants were cued to move their eyes away from central fixation to the left or right while viewing a real-world scene. On some trials, the entire scene moved 2° (E1) or 4° (E2) while their eyes were in motion. On half of the trials (i.e., the blank condition), the scene was briefly absent at the conclusion of the eye movement before returning to view. Participants responded whether or not they detected a scene displacement. In contrast with previous work and with our own control experiment (E3), the post-saccade blank screen impaired displacement detection in scenes. Participants were less sensitive (d’) to scene displacements in the blank condition (E1: p < 0.001, d = 0.99; E2: p < 0.001, d = 1.45). In contrast, participants were more sensitive to simple stimuli displacements with the post-saccade blank (p = 0.002, d = 0.91), replicating the classic effect. These results suggest that the blank effect does not scale up to complex scene images, and calls into question the generality of the stability assumption hypothesis that has found support in studies of simple visual stimuli.
수업맞춤형 모바일 어플리케이션의 효율성과 가치: 수준별 영어 학습자들을 대상으로

The aim of this study is to explore the influence of a customized mobile application developed for a certain liberal arts class and to consider learners’ attitudes and perceptions about using customized mobile apps in the classroom. An experimental group and a control group were classified into an upper and lower group, respectively. I and II tests were conducted to determine the impact of the use of classroom-specific mobile apps. Individual interviews and an open questionnaire were carried out to identify learners’ attitudes and perceptions. The results of the study indicate that more adept learners were not significantly affected by the learning method (i.e., the mobile app or the handout), whereas less adept learners were more likely to benefit from learning through the mobile app than through the general handout form. The results from the interviews and open surveys suggest that mobile apps can: (1) create interest and motivation for learning; (2) be conveniently used beyond time and space constraints; (3) are great learning tools; and (4) ease the burden of studying. In order to support mobile usage in the classroom, more experimental research regarding the efficiency and learning effects of mobile apps should be carried out in the future.
Research on Solving Mathematical Model of Itinerary Problem Based on Recursive Method

Abstract A special type of itinerary problem is introduced in this paper, and by using the principle of recursion, the mathematical model is established under two conditions. The results obtained by MATLAB software: if all passengers wait for the car to pick them up and then they are sent to the railway station directly, the time calculated by model (1) is about 3.3 hours; in the process of each car sending passengers to the railway station, at the same time other passengers who have not reached the station should walk to the station, and the time calculated by model (2) - (4) is about 2.85 hours, 2.718 hours and 2.602 hours respectively. In the latter case, the time is less than 3 hours, which means that the model is feasible. An extended discussion is carried out on the itinerary problem at last.
Where the Action Could Be: Speakers Look at Graspable Objects and Meaningful Scene Regions when Describing Potential Actions

The world around us is visually complex, yet we can efficiently describe it by extracting the information that is most relevant to convey. How do the properties of a real-world scene help us decide where to look and what to say about it? Image salience has been the dominant explanation for what drives visual attention and production as we describe what we see, but new evidence shows scene meaning predicts attention better than image salience. Another potentially important property is graspability, or the possible grasping interactions objects in the scene afford, given that affordances have been implicated in both visual and language processing. We quantified image salience, meaning, and graspability for real-world scenes. In three eyetracking experiments (N=30,40,40), native speakers described possible actions that could be carried out in a scene. We hypothesized that graspability would be task-relevant and therefore would preferentially guide attention. In two experiments using stimuli from a previous study (Henderson & Hayes, 2017) that were not controlled for camera angle or reachability, meaning explained visual attention better than either graspability or image salience did, and graspability explained attention better than salience. In a third experiment we quantified salience, meaning, graspability, and reachability for a new set of scenes that were explicitly controlled for reachability (i.e., reachable spaces containing graspable objects). In contrast with our results using previous stimuli, we found that graspability and meaning explained attention equally well, and both explained attention better than image salience. We conclude that speakers use object graspability to allocate attention to plan descriptions when scenes depict graspable objects that are within reach, and otherwise rely more on general meaning. Taken as a whole, the three experiments shed light on what aspects of meaning guide attention during scene viewing in language production tasks.
LibGuides: General Information: History of the UMSL Libraries

Contact and General Information about the Libraries (Staff, History, Mission, Hours, Employment, etc.)
ANALISIS SISTEM INFORMASI AKUNTANSI PENGGAJIANDAN PENGUPAHAN (Studi Kasus pada PT. Pratama Abadi Industi JX)

Ajeng Aulia Mursidah (1630611082) Muhammadiyah University, Sukabumi. Payroll and Wage Accounting Information System Analysis (Thesis Advisor Gatot Wahyu Nugroho, M.Ak., CA and Elan Eriswanto, SE.MM). This study aims to determine and explain the application of payroll and wage accounting information systems at PT. Pratama Abadi Industri Sukabumi (JX). This research uses a qualitative method with a descriptive approach. Data is processed and obtained through observation, interview process and documentation. The population and sample used are social conditions consisting of three components; places, actors, and activities, with a sampling technique using purposive sampling. The sources in this research are managers, employees and administration. Based on the results of research that the Payroll and Wage System of PT. Pratama Abadi Industri Sukabumi (JX) in its application is already good because in this company already uses a computerized system. Some functions and parts are carried out by one different department. Documents used in the remuneration and remuneration system still have discrepancies because in this company already using a computerized system, the procedure in the payroll and remuneration system is done well, it can be seen from several payroll and wage procedures that are appropriate and regular. records that are used in the remuneration and remuneration system are still incompatible, internal controls related to the payroll and remuneration processes are good, it can be seen that some activities, especially in remuneration and remuneration are carried out by several different parts and responsibilities.
Peningkatan kemampuan menemukan ide pokok dalam teks wacana melalui model pembelajaran survey question read recite review pada peserta didik kelas V sekolah dasar

The objective of this research to improve students’ ability in finding main idea in a discourse text in fifth grade students’ of elementary school at SD Negeri Pelemrejo, Boyolali 2018/2019 academic year through Survey, Question, Read, Recite, Review (SQ3R) Learning Model. The subjects in this research were a teacher and 17 students. This research was conducted in three cycles. The research data were collected using interview, observation, tests, and document analysis. The data validity was tested by data source triangulation techniques and methodological triangulation technique. The data obtained in this research consisted of quantitative data and qualitative data. The quantitative data were analyzed using descriptive comparative analysis techniques and the qualitative data were analyzed using interactvie models. The first cycle, classical completeness to 41,18%. In the second cycle improvement has increased with classical completeness of 70,59%. The improvement in the third cycle has increased again with classical completeness of 82,35%. Based on the findings as presented above, it can be concluded that the students’ ability in finding main idea in discourse text in fifth grade students’ of elementary school at SD Pelemrejo 2018/2019 academic year can be improved through SQ3R learning models.
Non-Invasive Anemia Screening Using Nails and Palms Photos

Anemia is a condition where the hemoglobin level is below standard. Hemoglobin is an iron-rich protein that gives blood its red color and is tasked with helping red blood cells carry oxygen from the lungs throughout the body, including essential body organs such as the heart, kidneys, and other organs. So that if anemia is allowed to drag on, it will interfere with the function of these organs and cause various kinds of diseases.This study applies the Naive Bayes method to detect anemia using digital images of the nails and palms as parameters. The image processing method used in this research is image segmentation in digital images of nails and palms so that they are separated from the background using the threshold method, after which the mean values of Red, Green, Blue, and their standard deviation are found. Furthermore, the value obtained will be processed using the Naive Bayes classification method to categorize the palm image data entered into the anemia or non-anemia category. The proposed method achieves 90 percent accuracy for the paleness classification of nails and palms pictures. The proposed paleness screening method can be further fine-tuned to identify the intensity of anemia-like pathologies by using a controlled collection of local images that can then be used for potential benchmarking purposes.