Reviewerly/exHarmony huggingface dataset:
Feasibility Study of Applying 5G Mobile Communication Network Remote Visual Teaching Mode to Online Courses for Deaf Children

In the teaching of deaf children, the effective use of visual interactive network teaching can make more deaf children experience high-quality teaching experience and reduce the burden on families.However, the visual teaching technology also puts forward higher requirements for the network.The traditional network is difficult to support directly, and can not meet the access needs anytime and anywhere.By analyzing the characteristics of 5G network and visualization technology, this paper determines the advantages of 5G as the basic technology of visualization teaching network.With the support of 5G network, it can bring a new educational model to the teaching of deaf children.
Improving Speaking Ability Through Retelling Technique by Using Fables’ Video at SMPN 4 Rejang Lebong

Speaking ability is the ability to express the information with the correct grammar, appropriate vocabulary, acceptable pronunciation, and related content to make people not misinterpret and misunderstand.However, several problems were found in primary research related to speaking ability.First, the students lacked the willingness to participate in teaching-learning and tended to be passive.Second, the students lacked vocabulary.Third, the students were hard to pronounce some words.Fourth, the students had problems building the correct.Fifth, the students took much time to think, pause, and sometimes did fillers when speaking.Last, the teacher still used the old method.This research aimed to increase teaching speaking quality through retelling techniques using fable's video.The design was action research and was conducted in grade 9 of SMPN 4 in Rejang Lebong, which consisted of 30 students.The researcher used instruments of observations, tests, field notes, and interviews to collect the data.The result showed that the students' speaking ability improved after learning through the retelling technique with the fables' video.It can be seen from the improvements of each cycle.The average score of the pre-test was 51.1.After the implementation in every cycle, the students' speaking scores improved.The students' average Scores of 62.4 in cycle 1 and 75.6 in cycle 2.It can be concluded that the retelling technique with fables' video can improve the students' speaking ability.
Application of New Media Technology in the Context of Artificial Intelligence - A Case Study of Guancha Two Sessions

The traditional news industry has changed its original news production methods and patterns under the impact of the Internet era.To break through the news dilemma brought about by the traditional media, the news industry has extensively combined artificial intelligence technology to promote the advent of the era of intelligent media.This paper will take CCTV's "Guancha Two Sessions" as an example and try to dig into the current situation of news engagement in the context of artificial intelligence and the logical chain behind the dilemma in an attempt to break through the hostile media ecological impact brought about by technology and build a new public opinion ecology.
Research Roadmap of Graphic Design Study Program of Universitas Negeri Surabaya (UNESA)

Study Program as the vocational Program of UNESA is one of the newly established programs which needs to develop a 15 (fifteen
The Identification of Serious Circumstances of Help Information Network Criminal Activity Crime

Since the judicial interpretation of helping information network criminal activity crime was promulgated, there has been a clear incrimination standard for the determination of "serious circumstances" for the crime of helping information network criminal activities, which provides specific judgment ideas for judicial practice.However, there is still a lack of clear regulations on the determination of "other serious circumstances" and "particularly serious consequences".Meanwhile, there may be deviations in the understanding of the application of judicial practice activities.It can be seen that the relevant provisions of "serious circumstances" in the interpretation remain the deficiency that needs to be perfected now.By relying on relevant judicial cases and referring to other clauses, the bottom line situation can be further refined, so those situations can meet the standard of "serious circumstances" more strictly.Meanwhile, it is conducive to the precise crackdown on crimes and prevents the scope of crimes is expanded wanton.
Medical Knowledge Question Answering System Based on Knowledge Graph

Knowledge graph has broad application prospects in the field of medical question answering.The research first builds Neo4J knowledge graph based on Chinese OpenKG.cnstructured medical common sense data, and then builds a question answering system based on the constructed knowledge graph.The steps include constructing a complete and usable graph from data collection, data representation, and implementing a general graph construction tool, and then using a pipelined question answering system model to build a medical commonsense question answering system, and finally look forward to the application prospects and industry development trends of question answering systems in different medical fields.
Study on Implementation of Stratified Teaching in Applied Undergraduate English Teaching

In recent years, the number of applied undergraduates in China has increased greatly.Different from the other universities, applied undergraduates pay more attention to the cultivation of students' skills.Therefore, the development of general courses such as College English is facing reform.In order to better serve students and truly be student-centered, applied undergraduates carry out stratified teaching one after another, and their specific implementations are different.This paper studies the specific implementation of stratified teaching, and discusses its significance, hoping to provide theoretical reference for the development of applied undergraduate English courses.
Analysis of Assumption Adverbs in Japanese

This study departs from one of the phenomena of foreign language learning.It is regarded as critical, particularly in this modern age to have a foreign language proficiency, and understanding a wide range of new vocabularies in the language being studied is undeniably one of the most fundamental aspects of learning it.However, students commonly struggle to distinguish the meaning of those diverse vocabularies in a foreign language when attempting to memorize them.The purpose of this study is to determine the similarities and differences in adverbs that express assumptions in Japanese, thus the collected data was analyzed qualitatively in addition to using the substitution technique.Based on the analysis, the assumptions adverbs namely tabun, osoraku, moshikashitara, and hyottoshite, were frequently used at the beginning of a sentence to directly indicate whether the speaker's prediction is from their point of view or the point of view of their interlocutor as well.Furthermore, if the speaker does not clearly describe or mention a subject, the four adverbs can be used because the speaker expects their prediction to be the same as their interlocutors assumed.It was also discovered that if the subject is explicitly mentioned by the speaker, it is preferable to use self-referential adverbs, such as tabun and moshikashitara, because it emphasizes that the speaker is the one who has the guesswork or conjecture being expressed.
A Data-Driven Research of Sales and Delivery on JD.Com Platform: Based on DID Model

E-commerce has become an integral part of people's lives and its ease and breadth have given great convenience.Price changes and platform activity are always points of concern in people's online purchases.This paper takes the JD.com platform as the research object to explore the impact of the Butterfly Festival on JD.com sales and delivery speed.Data from the database provided by JD.com are used for the analysis.Two time periods during and after the Butterfly Festival were selected, the parameters were estimated by linear regression based on the DID model, and the results obtained were representative and convincing because of the large data sample.By comparing the data during and after the Butterfly Festival, it was found that there was a decrease in the average sales per item and no significant impact on the delivery speed.For these phenomena, reasonable explanations and future predictions were made based on the characteristics of the JD.com platform and the industry.In conclusion, the Butterfly Festival must have been a success and made a significant contribution to JD.com's first-quarter sales in 2018, while it can be seen that JD.com is a mature platform in terms of logistics management.In the future, JD.com can launch strategies for different customer populations on a large scale to make JD.com a larger and more mature integrated e-commerce platform.
Developing Audiovisual Learning Media Using Corel Video Studio Pro X10 on the Heritage of Palembang Darussalam Sultanate to Increase Students’ Interest in Learning

This study aims to determine the results of the audiovisual learning media on the heritage of Palembang Darussalam Sultanate developed with Corel Video Studio Pro X10 and determine students' responses towards it along with the effectiveness of the developed learning media.This study was conducted in the history learning class X, SMA Negeri 13 Palembang.The use of audiovisual media in this manner is expected to help solve problems faced by the students.Corel Video Studio Pro X10 has easy and precise video processing/editing to provide satisfactory final results according to video needs.This study develops the heritage of Palembang Darussalam Sultanate material as the main topic in the developed learning media based on Corel Video Studio Pro X10 in history subjects by presenting more interesting material by adding animation and historical illustrations.That way it can overcome the problem of students' learning difficulties and can increase their overall interest in learning.The results of field trials, especially comparing the posttest and pretest results, show that the effectiveness of using such audiovisual learning media on the topic in hand is looking good.The students' average pretest score was 33.66%, while their average score at the posttest was 86%.There was a significant increase of 52.34%, meaning that an N-gain of 0.78 was obtained which was included in the high category.The results obtained indicate that the product developed in this study regarding audiovisual learning media based on Corel Video Studio Pro X10 on the heritage of Palembang Darussalam Sultanate has a significant, positive effect on students' learning interest and thus their learning outcomes.
Development of Web-Based Virtual Reality as Media Learning for Baluran Conservation Area with Geographical Characteristics

This study has developed virtual reality learning media based on web learning as Mobile Virtual Field Trips (M-VFTs) with the object of the Baluran Conservation Area.The preparation of content is based on Geographical characteristics so that it can be used as a learning media to analyze phenomena in conservation areas.The development uses a plomp development model with formative assessments from teachers and students.Based on formative assessments, this media is suitable to be used as a Geography media learning, especially in understanding flora and fauna conservation material.Based on the findings in the field, this media can increase students' learning motivation and curiosity about flora and fauna conservation material.However, this media still requires future content design and instruction optimization.M-VFTs require integration with appropriate learning models.The suggested learning model is student-centred, so the teacher only functions as a guide.In addition, in optimizing the content design, it is possible to add stop sites from increasing student options in virtual visits to recognize the geographical characteristic of Baluran better.
Application of Genre Pedagogy in Text-Based Indonesian Learning

The pedagogy genre emerged because it was motivated by the development of linguistic theory, the development of the concept of communicative competence, and the development of learning psychology theory.Activities are influenced by individual abilities and social context.Language skills make learning to understand and produce.Understanding skills include (oral) and reading (written) as well as developing speaking (oral) and writing (written) skills.Proponents of genre pedagogy state that making use of it includes dialogue (spoken language) and monologue (written language).Monologue skills include listening, reading, and viewing (seeing) while enjoying dialogue which includes speaking, writing, and presenting (presenting).Application of genre pedagogy in text-based Indonesian language learning The orientation of Indonesian language learning in the application of PG can not be separated from the formulation of communicative competence.The orientation includes discursive competence as the main axis supported by competencies in the fields of: (1) sociolinguistics, (2) linguistics, (3) strategy, and (4) actional.The general pattern of PG-based language learning turns out to be growing and varied.In 1988, for example, Callaghan & Rothery (in Payaprom, 2012: 34) stated that there are three stages of learning in GBA, namely: (1) modeling, or modeling, (2) compiling the text together or negotiating together.Text, and (3) independent text preparation or text independent construction.Another expert, Dickinson (2012: 4) states that there are five stages of learning in GBA, namely: (1) context development or context building, (2) text modeling and deconstruction or text modeling and deconstruction, (3) textual arrangement of the text.Together or with text construction, (4) independent text preparation or text independent construction, and (5) linking with related texts or linking related texts.
Improvement of College Students’ Office Ability Take Short Videos Combined with Office Software as an Example

Short video in people's lives has become the mainstream entertainment method.It will be the main model of new media short video plate that combining short video with office software to create a short video platform for office software learning.In today's campus environment and employment environment, the demand for the ability of university students' using office software is becoming more and more urgent.In the future of office efficiency, the skillful use of office software has also become a necessity for work.Using campus scenes and the advantages of platforms, we will produce short video works that are dehomogenized and appropriate to campus life.Combining the skills teaching of college students with the field of short videos and improving the ability of college students to apply office software in a relaxed and pleasant and easy-to-accept mode can also provide good help for colleges and universities and society.
Minimizing the total strain error in point-wise least squares using rotated gaussian weight strain filter (RGW-SF) in digital image correlation

The point-wise least squares (PLS) has been widely accepted as a simple and trustworthy strain computation method that smooths and differentiates the noisy displacement field calculated directly by digital image correlation (DIC). Smooth window size and kernel function need to be determined before using PLS. The selection of the proper smooth window size has long been a tricky issue for practitioners, which has an obvious impact on the final total strain error of complex deformation. A small smooth window may reduce the system/bias error but increase the random error, and vice versa. In this paper, a rotated Gaussian weight strain filter (RGW-SF) is proposed for heterogeneous strain field measurement. The motivation of RGW-SF is to adapt the weights of each point in tradition PLS smooth window to obtain lower total strain error, which is derived and then minimized to select an optimum strain filter with three weight parameters (i.e., σx,σy, and θ). The effectiveness of the proposed RGW-SF is verified using simulated sinusoidal deformation images and the Star 6 image set from DIC-challenge 2.0. Experiments show that the RGW-SF can find a trade-off between the system error and the random error. The displacement and strain field accuracy, especially for the metrological efficiency indicator, by RGW-SF is much better than that of the PLS and the self-adaptive strain algorithm (SSA). The proposed RGW-SF is strongly suggested for unknown severely heterogeneous strain measurement.
A long-memory pedestrian target tracking algorithm incorporating spatiotemporal trajectory feature enhancement model

Multi-target tracking is a complex problem in computer vision, involving occlusion, target trajectory disappearance, etc. In response to these questions, we first propose a trajectory coordinate bi-directional sensing attention module (BasicCaModule). This module enables the network to be more focused on essential areas. Secondly, we propose the Feature Confusion Edge Enhancement (FCEE) module, which enhances the confusion region of adjacent feature edges. After detecting the network output feature map, we propose the adaptive feature separation header (FDH) module. This module can activate essential features adaptively to reduce the number of target identity switches. Finally, appropriate hyperparameters are set and optimized for the ByteTrack tracking algorithm, resolving fragment tracking loss and long memory matching problems. After a large amount of experimental data, our approach is highly competitive with the existing state-of-the-art algorithms. Moreover, it can also keep online tracking while maintaining high tracking accuracy. The code is publicly available at: https://github.com/CccJ23/Spatio-temporal-trajectory-Tracking
Solution Suggester Tool for Error

Abstract: Stack Overflow is a valuable resource for software development-related concerns. For a few years, most people have been utilizing stack overflow to discover answers to mistakes they have faced. Within a short period, stack overflow has been acquainted with the majority of users. While coding, we are all likely to encounter one or more various sorts of mistakes on a regular basis. Then stack overflow will enter the scene to provide solutions. And the everyday action in software development is to write code, execute it, and remove mistakes.
A Card-based Ideation Toolkit to Generate Designs for Tangible Privacy Management Tools

Effective privacy protection in dynamic UbiComp environments requires users to be able to manage their privacy seamlessly across diverse contexts. To support this, designers need to go beyond GUI-based interactions and utilise tangible and embodied interactions. To help designers in such endeavours, we present the TTP toolkit: a card-based ideation kit to generate designs for tangible privacy management tools. The toolkit translates the Privacy Care framework for tangible-supported privacy management into a game intended to support designers in developing TUI privacy management tools. We demonstrate use of our toolkit through 10 online participatory workshops with 22 interaction designers. Our results demonstrate that the toolkit was effective in supporting the participants to creatively and collaboratively generate meaningful conceptual designs of tangible tools for privacy management.
Teachers' Efforts to Improve Politeness Towards Students at SMPN 24 Medan

The purpose of this study was to determine the teacher's efforts in improving students' polite behavior. This study uses a qualitative approach with phenomenological research methods. The research subjects were students at SMP Negeri 24 Medan with a total of about 30 people. In this study, the informants were taken by purposive sampling. Collecting data using interviews and observation. The results of the study stated that: the forms of teacher efforts to improve student manners at school, namely: religious cultivation, teaching and learning process, punishment, individual and group guidance, and parental involvement.
Neutralizing the impact of heat haze on digital image correlation measurements via deep learning

Digital image correlation (DIC) techniques have shown excellent capabilities in the deformation measurements of materials and structures at high temperatures. However, as a crucial challenge for the high-temperature DIC measurements, heat haze, caused by uneven distributions of temperatures and refractive indices, can lead to considerable distortions to the captured images and severely decrease the measurement accuracy. Inspired by a recently established atmospheric turbulence neutralization neural network called TSR-WGAN, we propose a deep learning-based approach to neutralize the effect of heat haze on high-temperature DIC measurements. Specifically, the original distorted speckle images obtained in the experiment are fed into the TSR-WGAN network twice to obtain distortion-corrected speckle images. By processing these corrected speckle images with a conventional DIC algorithm, displacement and strain fields with mitigated heat haze effects can be determined. Both simulation and real experiments have been conducted to assess the proposed method. Results clearly show the effectiveness and robustness of the proposed method in correcting heat haze effects. One of the experiments particularly shows that the displacement fluctuations caused by the heat haze can be reduced by approximately an order of magnitude in the u direction and by a factor of five in the v direction. The proposed technique provides a much-needed tool for neutralizing the impact of heat haze on the DIC measurements under a high-temperature environment.
MakeDevice: Evolving Devices Beyond the Prototype with Jacdac

Embedded devices are now commonplace, and hardware prototyping toolkits have become a popular approach for hobbyists and professionals to create embedded hardware prototypes. However, moving from prototype into small scale manufacture use introduces complexity and cost, restricting embedded device development ’beyond the prototype’. Challenges include the need to design custom PCB for manufacture, and the design and fabrication of a device enclosure to ensure the robust enough for deployment. In response, we present MakeDevice : a web-based tool that leverages an existing modular hardware prototyping platform, Jacdac, to enable low-complexity route to generate a custom ‘carrier’ PCB upon which modules can be mounted and electrically connected. MakeDevice also automatically generates CAD files for custom enclosures with apertures to suit. We show how such enclosures can be generated using 3D printing and 2D stencils. In this way, MakeDevice lowers the barriers in moving from prototype to viable low-volume deployment of embedded hardware.
To Touch or not to Touch? Differences in Affordance Resonating with Materialities. Hard and Soft Sensors embedded in an Artistic Research Setting

In this paper, we present theoretical basics, creative development processes, and partial evaluation results of human behavior and attitude in a dramaturgically staged interactive environment. The installation is set up in a media lab and the separate rooms are carefully designed to provoke emotional and cognitive human reactions. The corresponding installed sensor-actuator system includes different types of embedded sensors and tangible interfaces to create a fully embodied experience for participants walking through the artistic research facility. We evaluate and compare two opposite design approaches to investigate the impact of dramaturgy, design strategies, and furnishing on affective human-machine correlations and appropriation processes.