Reviewerly/exHarmony huggingface dataset:
Exploring Liberal Arts Educational Meanings and Application Possibilities of Ink Wash Painting Experiences of Creation Based on the Theory of Yuyi(寓意)

문인화의 우의(寓意)론에 기반한 수묵화 창작 경험의 교양 교육적 의의와 적용 가능성을 탐색하고자 자화상을 주제로 수업을 진행하고 그 결과를 분석하였다. 먼저 자신의 얼굴을 사생(寫生)을 통해 형상을 드러내되 닮음에 그치지 않고 이치를 파악하 도록 하였으며, 다음으로 사의(寫意)를 통해 생각과 느낌을 담고 관점을 세워 자신을 성찰하고 정체성에 대해 생각해 볼수 있도록 하였다. 이러한 수업을 통해 학생들이 얻을 수 있었던 자신의 모습은 크게 두 가지로 나타났다. 첫째는 기억의 표현으로 자신에게 의미 있는 공간과 상황 등을 통해 과거의 기억 가운데에서 잊고 있었던 자신을 발견하였다. 둘째는 마음의 표현으로 자신이 느끼는 생각과 감정을 다양한 수묵 기법으로 풀어내는 과정에서 자신을 발견하고 드러내었다. 이러한 우의론에 기반한 수묵화 창작을 통해 학생들은 자신을 객관적으로 바라보고, 주관적으로 성찰하며, 시각 언어를 통해 타인과 소통할 수 있었다. 본 연구를 통해 학생들이 자신을 인식하고, 강화하고, 확장하기 위한 방안으로 문인화의 정신을 담은 수묵 창작 경험의 교양 교육적 의의와 가능성을 확인할 수 있었다.This study was conducted with related class to explore the meaning and its applicability of su-muk painting classes based on Yuyi(寓意) in the liberal arts education. First, students drew shapes not only for the similarity, but also for perceiving its principle. Secondly, students deposited their thoughts and experiences into the images considering their identities. The self-image that the students were able to draw in these classes revealed in two ways. Firstly, the expression of memory. They found themselves in the memories of the past through drawing their meaningful spaces and times. Secondly, the expression of their mind. They revealed themselves by unraveling their thoughts and feelings with various ink wash techniques. Through the drawing, students were able to review themselves objectively and subjectively, communicating with viewers through various visual languages. Through this research, it was possible to confirm the meaning of the su-muk painting for students to recognize, strengthen and expand themselves.
Research on Informatization of Classroom Teaching Based on Learning Data Analysis

In order to improve the learning quality of newly-built applicationoriented college students, a three-level classroom teaching improvement model based on learning data analysis is proposed.Three levels are data collection, behavior analysis, and teaching applications.142students from the engineering college of a newly-built newly-built application-oriented university by means of network survey tool were investigated.The results show that the importance of the course is directly related to the learning difficulty.Meanwhile, the more important the course is, the greater the learning difficulty is.Students have different difficulties when learning courses and more than 70% of students think they cannot use the knowledge they have learned to solve practical problems.More than 75% of the students believe that there are effective measures to improve curriculum teaching, such as using modern technology to assist teaching, innovating teaching devices, and reforming teaching methods to stimulate students' activity.On the basis of investigation and analysis, some advices about teaching reform are put forward.
Animal Application in Oral English Recognition System

Abstract：Under the upsurge of artificial intelligence, the development of language recognition system has become inevitable.Now the speech recognition system has been applied to many aspects.However, there have been many difficulties in the recognition of spoken language.The purpose of this paper is to find ways to solve the problems of spoken English recognition system from animals.This paper briefly introduces animal language and spoken language recognition system through literature research and investigation.The influence of animal emotion analysis methods on the accuracy of spoken English recognition was compared through a comparative experiment.Through a questionnaire survey, the support rate of the application scenario of this technology is analyzed.The results show that the accuracy of animal emotion analysis method for male spoken English recognition in fear state has increased by 27%, and for female spoken English recognition in anger state has increased by 29%.At present, the technology corpus has a single language, and the extracted emotional features have great limitations, and there are still many places to be improved.37% of the people hope that the spoken English recognition system based on animal emotion analysis can be applied to psychological monitoring.The current high-pressure and fast-paced life in society makes many people have psychological problems and their psychological needs will be increasing.
Analysis Report About Reform of the Classification and Evaluation Mechanism for Scientific and Technological Talents Based on Questionnaire Star Platform

Talents are the strategic resources to achieve national revitalization and win the initiative of international competition.In order to play the "baton" role of talent evaluation and stimulate the vitality of talent team, we used the platform "Questionnaire Star" to conduct a questionnaire survey of nearly 900 science and technology workers in more than 30 subordinate units of a group on the problems related to talent classification evaluation.After making use of the basic data classification and statistics function provided by the platform, SPSS data analysis function, and cross-comparison and analysis of the core data of the questionnaire, we have found that: it is the basic consensus of science and technology workers to establish a talent classification and evaluation mechanism, which includes both morality and ability, abolishing the "five only", respecting realistic needs, using evaluation and incentive lever, and breaking the "one size fits all" and "one pot of stew".It is of great significance to establish a correct employment orientation, encourage and guide the career development of talents, arouse their enthusiasm for innovation and entrepreneurship, and speed up the building of a country with talented people.
On the Criminal Regulation of DNS Hijacking

In judicial practice, the conviction of DNS hijacking has been highly controversial.The relevant crimes of this act mainly include the crime of illegally controlling computer information systems, the crime of destroying computer information systems, the crime of theft, etc.However, the distinction between "illegal control" and "destruction" is not clearly defined in the Chinese Criminal or in related judicial interpretations.There are still no uniform rules on whether "Traffic" can be considered as a form of property.These all are important issues that affect the conviction of DNS hijacking.Therefore, it is necessary to set a unified criminal control standard for the identification of this act.By distinguishing between different subjective purposes of DNS hijacking and different functions of the means of hijacking, it is easy to identify "illegal control" and "destruction".Meanwhile, by reasonably considering "Website Traffic" as a "property", the act of DNS hijacking could also be regulated by the crime of theft.Therefore, DNS hijacking constitutes both the crime of theft and a corresponding computer-based crime.According to the Chinese Criminal, this is an imaginary competition, and it should be punished as a felony.
A COMPARATIVE STUDY OF THE DIFFERENT DIAGNOSTICS OF DETECTING MALARIA AND TYPHOID FEVER

Aim: The study is aimed at comparing the different method of diagnosing plasmodium parasite and typhoid fever and also to know the most effective method of diagnosis.&#x0D; Methods: The different diagnostic method of analyzing malaria and typhoid were compared by using blood and stool samples of patients from Angwan Rogo community FCT, Abuja. The diagnostic method used for the analysis of malaria were Rapid diagnostic test kit (RDT) and microscopy diagnostic method, which are Field stain and Giemsa stain. The positivity rate of RDT was (12%), Field stain (88%) and Giemsa stain (94%). Typhoid fever was diagnosed using widal test and stool culture test. The results showed that age group 1-10 had the highest malaria prevalence of 70% followed by age group 21-30 with prevalence of 10%. The positive result for typhoid fever widal test is 63.3% while for stool culture is 90%.&#x0D; Conclusion: The result of the study shows that children are more prevalent to malaria. Therefore, laboratory personnels should not depend solely on widal test, but rather they should employ other diagnostic method such as stool culture which can differentiate salmonella infections from other infections for more diagnostic test result.&#x0D; In diagnosis of analysing malaria and typhoid, microscopy and stool culture are more accurate and reliable.
On Individual Style of Pedagogical Activity of a Lecturer of Social and Humanitarian Disciplines of a University

In this article, on an interdisciplinary (at the intersection of philosophy, psychology, pedagogy) basis, the individual style of pedagogical activity of a teacher of social and humanitarian subjects in higher education is studied. It is substantiated that the essence of the individual style of pedagogical activity of a teacher of social and humanitarian disciplines is subjectively perceived anthropology, reflexivity and interpretability. These qualities, logically, should have unconscious (Jungian Self) and existential (in the logic of M. Heidegger refers to DaSein) roots, and does not refer to the Jungian person. A person may include professional competencies that are not used in other activities. It is shown that the personal nature of social and humanitarian knowledge is as follows: firstly, since the anthropological turn, the human personality has been put in the basis of this field of knowledge, and secondly, even if these sciences are engaged in the study of the facts of reality, but their specificity lies in the interpretation, which is personal, subjective, and thirdly, the individual nature of human perception of culture and spirituality. It is concluded that, contrary to the conclusion that can be drawn from the scientific literature, the teacher's personality is not identical to the profession - professional interest arises in connection with its essence (Self, existence, DaSein), which is reflected in the individual style of pedagogical activity, while essence is not equivalent to professional pedagogical competence. It is also necessary to clarify that the article does not mean every empirical teacher of social and humanitarian disciplines, but one who, firstly, is a fairly competent specialist in this field of knowledge, and secondly, perceived the values of social and humanitarian knowledge as his own. personal, thirdly, has a personal predisposition (introvert) to the social sciences and humanities.
Land Cover Classification Improvements by Remote Sensing Data Fusion

Computer processing and analysis of satellite data is an urgent task of the science of remote sensing of the earth. Such processing can range from adjusting the contrast and brightness of the images of an amateur photographer to a group of scientists using neural network classification to determine the types of minerals in a hyperspectral satellite image. This article implements a method of satellite data fusion, which improves the digital image interpretation and image quality for further analysis. For fusion, a multispectral image with a resolution of 30 m Landsat 5 with 6 channels was taken, with three more significant and informative in their composition were used, as well as a panchromatic (monochrome) image with a resolution of 15 m. To evaluate the resolution of the images and the resulting images before and after the image fusion algorithm, image slices along a straight line and intersecting buildings, green mass, roads and industrial areas presented. For testing, test territories taken from Google Earth and the field work results.
Introduction to the Special Issue on Software Tools for Quantum Computing: Part 2

introduction Introduction to the Special Issue on Software Tools for Quantum Computing: Part 2 Editors: Yuri Alexeev Computational Science Division, Argonne National Laboratory Computational Science Division, Argonne National Laboratory 0000-0001-5066-2254View Profile , Alex McCaskey NVIDIA NVIDIA 0000-0002-0745-3294View Profile , Wibe de Jong Computational Science Department Applied Computing for Scientific Discovery, Lawrence Berkeley National Laboratory Computational Science Department Applied Computing for Scientific Discovery, Lawrence Berkeley National Laboratory 0000-0002-7114-8315View Profile Authors Info & Claims ACM Transactions on Quantum ComputingVolume 4Issue 1March 2023 Article No.: 1pp 1–3https://doi.org/10.1145/3574160Published:14 February 2023Publication History 0citation21DownloadsMetricsTotal Citations0Total Downloads21Last 12 Months21Last 6 weeks13 Get Citation AlertsNew Citation Alert added!This alert has been successfully added and will be sent to:You will be notified whenever a record that you have chosen has been cited.To manage your alert preferences, click on the button below.Manage my AlertsNew Citation Alert!Please log in to your account Save to BinderSave to BinderCreate a New BinderNameCancelCreateExport CitationPublisher SiteGet Access
ENGLISH LEARNING DIFFICULTIES

In this research article, the author analyzes the difficulties of students in learning English in . The SMA Budi Satrya Medan. focus of this research is to find students' difficulties in understanding the material presented and remembering the material from previous learning. The study is done by taking 10 students from the eleventh grade BudiSatrya. This study uses a classical and individual approach in collecting qualitative and quantitative data. The data obtained were obtained from the results of student learning exploration in the classroom and conducting interviews with students. The results show that the difficulty of learning English in the classroom is determined by how the teacher conveys the material. In connection with the research results obtained, it is suggested that teachers can use learning methods that are preferred by students so that students get a high sense of motivation to learn English in the classroom.
GOING DIGITAL RUPIAH: SOME CONSIDERATIONS FROM SOVEREIGNTY AND CYBERSECURITY PERSPECTIVES

Central banks worldwide are coming to terms with the bits and bytes of digital money, commonly referred to as Central Bank Digital Currency (CBDC). CBDC has been claimed to be safer, more secure, and inherently less volatile, unlike cryptocurrencies, as it is issued and regulated by central banks. The development of digital currency not only emerged in, and isolated developed countries’ monetary policy but also came from the emerging markets. However, the policy and academic discussion on CBDC is clouded as only a significant minority of states have instituted it. From a regulatory point of view, the basic concept of CBDC is still significantly understudied. Among the emerging scholarship, there remains a paucity of study on the (legal) aspects of cybersecurity risk and resilience of the proposed CBDC. This paper explores the role of Bank Indonesia (BI), as the central bank, in implementing CBDC and conducts a preliminary expose associated with cybersecurity risks. This paper shows that CBDC understood as not only usage of Digital Ledger Technologies, (DLTs), but in all models of electronic payment. There are diverging models for the implementation of CBDC, some models involve multiple actors and electronic systems. However, as a currency the Central Bank would ultimately bear the liability for each transaction. Therefore, it is important for BI, as the central bank, consider cybersecurity risks associated with the implementation of CBDC. Cybersecurity risks in the financial sectors including CBDC, is the potential disruption caused by cyber-attacks, IT failures, personnel, and physical or infrastructure security risks.
AN ANALYSIS STUDENTS’ PROBLEM IN ENGLISH SPEAKING AT THE SECOND GRADE OF SMAN 1 POMALAA

One of the most difficult language skills to master is speaking. This also applied to SMAN 1 Pomalaa. The English teacher of the school stated that the speaking skills of the second-grade students" of the school is fairly bad. They are not able to answer simple questions in English. This was the reason the researcher wanted to find out the problems that were faced by students in speaking English at the second-grade of SMAN 1 Pomalaa. The design of this research was descriptive qualitative. The subjects were 20 students of the second-grade class. The researcher gathered data by distributing questionnaires and then interviewing the students to answer the research questions. The findings of the research showed that the students had problems in two categories, namely linguistic and psychological. The former consisted of the lack of vocabulary mastery (2.9), poor grammar mastery (2.9), and poor pronunciation (2.9). Meanwhile, the latter consisted of the lack of self-confidence (3.2) and anxiety (2.9). Furthermore, the most dominant problem is the lack of self-confidence and anxiety.
Natural Protection Environment and Utilization Countermeasures Considering Big Data

In the use of natural protection environment, the application of big data technology, especially the data type and content involved, is increasing.In the use of natural protection environment, we must fully consider the potential risks contained in data, liberate from the traditional environmental use model, and develop more advanced production and life styles and service models.Therefore, it is necessary to improve the concept and method of natural protection and environmental utilization, so as to achieve optimal decision-making on ecological space utilization, living behavior, environmental quality and many other aspects under the condition of big data.Therefore, this paper analyzes environmental sensitive factors, implements the most scientific scheme, fundamentally pays attention to the association between data elements in the natural protection system, establishes and improves the data analysis model and data development and utilization mechanism, and improves the utilization level of natural protection environment.
Analysis of micro-costing through the Time-Driven Activity-Based Costing (TDABC) method in viscosupplementation procedures in different application regimens

Objective: To evaluate the micro-costing of viscosupplementation procedures compared to different infiltration regimens. Methods: This study compared, through the Time-Driven ActivityBased Costing method, the micro-costing of these different application regimens using national cost averages as a basis for calculation in a medium-sized outpatient service. Results: The results demonstrated that the difference in costs with the single application is 31.47% less for three and 119.13% for five applications. Conclusions: No study showed a superiority of the five-application regimen over the three-application regimen, which leads one to believe that there is no justification for this procedure from an economic or quality-of-life point of view.
A Semantic Segmentation Method for Three-Dimensional Image of Internet Data Center Machine Room Constructed by Intelligent Power Internet of Things Based on Fabric Architecture

In this paper, a three-dimensional image semantic segmentation method is studied. First, the data such as the equipment image in the computer room is obtained, and the data encryption and decentralized storage are completed through the consensus algorithm in the blockchain technology; Then transfer the data to the platform layer to realize the unified access, aggregation and distribution of the image data of the equipment in the machine room; Finally, the R-CNN method is used to introduce the FPN feature pyramid network to characterize the multi-scale image features of the equipment in the machine room. The candidate region generation network is used to obtain the region of interest of the equipment image, and the semantic segmentation of the three-dimensional image is realized through the classifier. The experimental results show that this method can accurately identify the equipment in the computer room and has good image data transmission performance.
Mixed Reality in Surgery – a Delphi study

Virtual Reality, Augmented Reality and Mixed Reality all have useful applications in the field of medicine, but Mixed reality has great potential because it allows for interaction with both real and digital Objects. Based on a previous literature review, a preliminary Delphi study was performed to obtain the opinion of a panel of 22 experts from several hospitals on the use of Mixed Reality tools, such as the HoLoLens 2, in surgeries. After data collection, a consensus letter was signed. According to experts, the most useful areas are medical education and surgical planning.
A Named Entity Recognition Method for Tibetan based on SWF-Cascade-BiLSTM-CRF Mode

Tibetan named entity recognition is a key task in Tibetan informatization processing. In this paper, we propose the Cascade-BiLSTM-CRF model that fuses Tibetan word vectors and syllable vectors (SWF). The cascade technique can separate entity boundary delineation and entity class judgment for Tibetan named entity recognition to reduce the training time. In this paper, this paper uses a corpus of $5.23\times 10^{4}$ manually annotated sentences and experiments show that the training time of Cascade-BiLSTM-CRF model is reduced by 28% compared with BiLSTM-CRF model. The fusion of word vectors and syllable vectors is performed on this basis to construct the SWF-Cascade-BiLSTM-CRF Mode model, which not only improves the F1 value by 1.7 percentage points, but also reduces the training time by 18%.
Do we know our visual preferences?

Humans differ in the amount of time they direct their gaze toward different types of stimuli. Individuals’ preferences are known to be reliable and can predict various cognitive and affective processes. However, it remains unclear whether humans are aware of their visual gaze preferences and are able to report it. In this study, across three different tasks and without prior warning, participants were asked to estimate the amount of time they had looked at a certain visual content (e.g., faces or texts) at the end of each experiment. The findings show that people can report accurately their visual gaze preferences. The implications are discussed in the context of visual perception, metacognition, and the development of applied diagnostic tools based on eye tracking.
A Statistical Model for Predicting Child Language Acquisition: Unfolding Qualitative Grammatical Development by Using Logistic Regression Model

Language acquisition is a scientific puzzle still awaiting a theoretical solution. Children seem to acquire their native language in a spontaneous and effortless way and they probably do so by keeping track of the frequency with which language items such as phonemes or parts of speech occur. Advances in data storage, processing and visualization have triggered a growing and fertile interest in analysing language by relying on statistics and quantitative methods. In this paper we propose a multiple logistic regression model to evaluate how different components of language contribute to its acquisition over time. The empirical basis consists of a corpus, which can be considered as a series of statistically representative samples taken at regular time intervals. The aim is to show how quantitative methods can contribute to explaining the creation and development of grammatical categories in first language acquisition.