Reviewerly/exHarmony huggingface dataset:
Specific features of forecasting in professional education

The relevance of the study is determined by the need of pedagogical theory and practice in prognostic research in order to reveal the prospects and risks of the professional school development programmes. The purpose of the study is to determine the specific character of professional education as an object of forecasting. The author notes that professional education is a synergetic system, which is characterized by the following features: disequilibrium, nonlinearity, variability and probability of development. The provisions of the social forecasting methodology of A.S. Akhiezer are interpreted in the study. The article also shows that professional education has static, intensive and destructive types of reproduction. Different approaches to forecasting are compared: the one based on mutually exclusive oppositions (such as optimistic and pessimistic development options) and the other based on complementary scenarios. The author shows that binary oppositions in making forecasts are unproductive, whereas considering the possibility of several potential scenarios, and determining their prospects and risks are expedient. Further, the study identifies three potential growth points for the system determined by possible bifurcation situations in the development of professional education and three corresponding scenarios for further development: organizational, technological, and subjective. The organizational scenario implies the spread of regional educational associations and it is strategically aimed at reducing the difference in the level of socio-economic development of central and peripheral regions. The technological scenario is associated with the spread of digital educational platforms, virtual laboratories and simulators. It is aimed at individualizing students’ educational trajectories. The subjective scenario is characterised by the change in the axiology of professional education, by the consolidation of the environmental protection (in the broadest sense) of the professional activity. The author draws the conclusion that specific features of forecasting in professional education are determined by the characteristics of a synergetic system, its anthropocentric nature and the increasing role of the methodology of environmentally-centred professional activity.
Engaging Digital Teaching Practice

This chapter explores ways to enhance the student experience through technology, whilst supporting student learning, both in the classroom and online. Taking an inclusive approach, a range of examples will be explored looking at different ways of delivering content for a changing audience. Examples range from the use of emojis to quizzes with a focus on both maintaining student engagement and academic staff teaching practicalities. This chapter concludes by reflecting on how leaders can work with the early adopters of innovative approaches to teaching to drive change across a programme.
EFFECTIVENESS OF E-BOOK APPLICATION MODEL UTERINE ATONY MANAGEMENT GUIDE AND POCKETBOOK IN IMPROVING MIDWIFE KNOWLEDGE AND SKILLS IN BASIC CARE: PRE-POST STUDY

Background: Midwives are one of the main health workers at the frontline of health development to accelerate the decline in Maternal Mortality Rate (MMR) and Infant Mortality Rate (IMR). Therefore, competent and skilled midwives are needed in carrying out clinical procedures, especially in handling emergency cases of postpartum hemorrhage, with critical analysis skills. This study aims to determine the effectiveness of e-book application model uterine hypotonia management guide and pocket book in improving midwife knowledge and skills in basic care. Method: The research design used was pre-post study, which was carried out in February-April 2021. The population and sample in this study were all midwives who provided delivery assistance at the Jambi City Health Center, totaling 64 respondents. Data analysis used the Wilcoxon and Mann-Whitney tests. Results: In each intervention group, all variables, including knowledge and skills, are increased in both groups defined. The results showed that the educational media application of guidelines and pocketbooks on postnatal emergency management increased knowledge and skills. Conclusion: The two study groups had a significant effect on increasing the knowledge and skills of midwives in handling postnatal emergencies due to uterine atony.
Partial label learning with emerging new labels

Partial label learning deals with the problem where each training instance is associated with a set of candidate labels, among which only one is valid. Existing approaches on partial label learning assume that the scale of label space is fixed, however, this assumption may not be satisfied in open and dynamic environment. In this paper, the first attempt towards the problem of partial label learning with emerging new labels is presented. There are mainly three challenges in this task, namely new label detection, effective classification, and efficient model updating. Specifically, a new method is proposed to address these challenges which consists of three parts: (1) An ensemble-based detector that identifies instances from new labels while also assigns candidate labels to instances which may belong to known labels. (2) An effective classification mechanism that involves data pool construction and label disambiguation process. (3) An efficient updating procedure that adapts both the detector and classifier to new labels without training from scratch. Our experiments on artificial and real-world partial label data sets validate the effectiveness of the proposed method in dealing with emerging labels for partial label learning.
(Im)mobile phones

This qualitative study examines the role of the mobile phone in negotiating the day-to-dayexperience of social immobility for young users in a low-income area in a small town in SouthAfrica. What does the mobile phone become when one is not part of a mobile globalised elite,but poor, unemployed and living on the margins of society in the global south? While researchon mobile phones in developed countries suggest these devices facilitate the creation of asociety free from the confines of local geography and community, where the user can craft anindividualised networked sociability, this may not be the reality in the global south. In our study,mobile phones were seen to amplify a communal sociability where privacy is largely absent fromthe densely contiguous neighbourhood where life happens on the streets for all to see. Thisstudy demonstrates how, in a particular context, mobile phones and the mobile Internet do notnecessarily facilitate a mobile world where individual networks allow an escape from local normsand structures, but may instead facilitate communal networks that bind users to the local and theco-present and so facilitate “stuckness”, a term we use to reflect social immobility and the inabilityto escape the disciplinary surveillance of the co-present.
A Study on the International Competitiveness Analysis of the Korean Medical Device Industry: Focusing on Comparison with the US, China, Japan, and EU

In this study, the competitiveness of medical devices with the US, China, Japan, and EU was analyzed using RCA, SRCA, TSI, and ESI.&#x0D; As a result of the analysis, first, in RCA and SRCA analysis, it was found that only two items of HS 8419 and HS 9022 were competitive among Korean medical device items. The US and EU were found to be competitive in almost all items. Second, looking at the TSI index, it can be seen that both Korea and the United States are closer to import-specific rather than export-specific. In China and the EU, the TSI index was greater than 0 for most medical device items from 2016 to 2020.&#x0D; Third, looking at Korea's ESI, the degree of export competition gradually increased from 2016 to 2020. It can be seen that the competition in medical device items is intensifying.&#x0D; The competitiveness of Korea's medical device industry was found to be lower than that of major countries. Accordingly, the Korean medical device industry needs efforts to strengthen its competitiveness.
A Study on the Effect of Investment Types on Major Export Sectors in Korean Industry

This study examines the effect of investment types on 10 major export sectors in Korean Industry during the recent ten years. In particular, it attempts to estimate the role of the three channels of investment types such as equipment investment, R&amp;D investment and foreign direct investment in the effect. Three panel data models were established and estimated with using a data set of 10 major export sectors in Korean Industry during the current decade from 2010 to 2019. The empirical estimation reports the results that equipment investment had a positive effect on the amounts of export in major export sectors in Korean industry, while R&amp;D investment and foreign direct investment had an inconsistent effect on them. In addition, the labor productivity had significant impact on the exports. These stylized findings are consistent across the two different models of the basic model and the revised model. More importantly, it is likely to reflect indirectly the trade structure in major export sectors, in which high-tech-intensive intermediate products account for a large proportion of major exports. This trend is expected to continue as long as Korea maintains a competitive advantage in major export sectors of technology-intensive industries. The study proposes a future study on short-run and long-run effects in the role of R&amp;D on exports. It also emphasizes the implication of policy support and strategical consideration for the role of investment, particularly R&amp;D and equipment investment in major export sectors in Korean industry.
A Study on to Enhance the Role of the Society for Trade Education in Response to the 4th Industrial Revolution

Trade combined with the 4th industrial revolution technologies such as AI, big data, and blockchain is undergoing a transition from traditional trade to digital trade. In particular, COVID-19 has further accelerated the development of digital technology, resulting in many changes in trade products and trade methods.&#x0D; It is not easy to achieve 2 trillion dollars in Korea's trade scale, which has been stagnant in the midst of such changes in the trade environment. Therefore, it is necessary to nurture trade manpower who can preemptively respond to changes in the domestic and global trade environment, such as the transition to digital trade and the expansion of service trade for high added value of exports.&#x0D; Specifically, it is necessary to nurture trade manpower who can recognize not only trade practices based on trade knowledge, but also ideas and innovative technologies suitable for the era of the 4th industrial revolution, and create overseas markets through networks Therefore, this study intends to propose a new paradigm of trade practice education for nurturing trade manpower who can respond to changes in the domestic and foreign trade environment and the spread of the 4th industrial revolution technology at the present time. To this end, we intend to redefine the trade manpower and necessary competencies to respond to changes in the current trade environment. In addition, based on this, concrete measures were presented along with the necessity of enhancing the role of trade-related societies in seeking a new paradigm for trade practice education.
A Study on China's Sustainable Foreign Trade Development Plan in the Era of the 4th Industrial Revolution

As the 4th industrial revolution brought new international competition patterns, China's foreign trade was faced with changes in the trade environment, trade structure, and trade patterns. The purpose of this study is to present a sustainable foreign trade development plan for China in the era of the 4th industrial revolution. Accordingly, this study analyzed the changes in China's foreign trade following the 4th industrial revolution and suggested the following foreign trade development plans based on this. First, in response to changes in the trade environment, China should strengthen its trade competitiveness by optimizing its innovation system by promoting the protection of intellectual property and fostering scientific and technological talents. Second, in order to respond to changes in the trade structure, China should optimize its digital trade structure and promote the digitization of service trade. Third, in response to changes in trade patterns, China needs to build a safe trade platform, expand investment in human capital, and build a global networking ecosystem.
A research on demonstrating contribution of variables in neural network analysis on korean export gravity model

The artificial neural network analysis has the advantage of being able to identify non-linear relationships between variables that is hard to be found in parametric research methods. On the other hands, this non-parametric black box methods have limitations to show the contribution of variables due to complexity of relations.&#x0D; In this study, a dummy artificial neural network analysis is attempted on the gravity model of panel data for Korea's exports, and the contribution of the variables are presented by Partial Dependence Plots methods.&#x0D; This results also show that the existence of a non-linear relationship that was hard to be captured by the previous parametric researches. Especially, the non-linearity contribution were found in GDP, per capita GDP and remoteness variables.
The Influence of Learning Participation in Online Education on Learning Satisfaction in Beauty Major College Students

Due to the government’s COVID-19 spacing restrictions, colleges have recently offered online classes by uploading recorded lectures on YouTube or their portal or through videoconferencing platforms such as ZOOM. This study attempted to investigate the influence of participation in online courses on learning satisfaction among college students majoring in cosmetology. For this, students from the department of cosmetology at 4-year colleges in Gwangju Metropolitan City were collected through convenience sampling. A pilot study was performed from March 22 to 30, 2021 while the primary survey was conducted from April 12 to 30, 2021, against 30 students. Among a total of 330 questionnaires distributed, 320 copies were collected. Excluding poorly answered ones, 305 copies were used for final analysis. The results found the followings: First, in terms of the influence of participation in online courses on learning satisfaction, learning participation was divided into four categories (opinion expression during class, class engagement, continuous participation and confidence), while learning satisfaction was classified into a single category. Second, learning participation in online courses revealed a statistically significant effect on learning satisfaction(p&lt;.05, p&lt;.001).
Analysis of Educational Satisfaction after Change of Teaching Method in the Ontact Era: Focusing on college students majoring in cosmetology

After the outbreak of COVID-19 pandemic, there have been a lot of changes around the globe. With the popularity of online communications, ontact culture has emerged, and its influence even reached an educational sector. In 2020, the Ministry of Education announced the launching and spread of ontact platform-based tele-education as conventional face-to-face classroom education became impossible. Such sudden change in teaching methods resulted in a lot of difficulties and complaints among college students and faculty members. Under these circumstances, this study attempted to investigate educational satisfaction after change in teaching methods in the ontact era against college students majoring in cosmetology. For this, a self-administered questionnaire survey was performed to examine their general characteristics, influence of COVID-19 pandemic on academic achievements, preferred lecture style and advantages &amp; disadvantages by teaching method, and the results found the followings: Regarding respondents’ general characteristics, ‘college women’, ‘20s’, ‘4-member family’, ‘mid-high’ and ‘makeup’ were most responded in terms of gender, age, household type, academic grade and academic major respectively. In addition, many respondents said that they considered taking a leave of absence because of the COVID-19 pandemic. Concerning a preferred lecture style, face-to-face classroom lecture was preferred to untact lecture, but the difference was minor. In other words, they have adapted themselves to new educational environments over time. However, they still prefer conventional face-to-face classroom lecture which enables mutual communications and instant feedback. It is anticipated that the study results would be helpful in promoting studies on the development of educational services in the event of a COVID-19 pandemic-like dramatic crisis.
Controllable Animation of Fluid Elements in Still Images

We propose a method to interactively control the animation of fluid elements in still images to generate cinemagraphs. Specifically, we focus on the animation of fluid elements like water, smoke, fire, which have the properties of repeating textures and continuous fluid motion. Taking inspiration from prior works, we represent the motion of such fluid elements in the image in the form of a constant 2D optical flow map. To this end, we allow the user to provide any number of arrow directions and their associated speeds along with a mask of the regions the user wants to animate. The user-provided input arrow directions, their corresponding speed values, and the mask are then converted into a dense flow map representing a constant optical flow map (FD). We observe that FD, obtained using simple exponential operations can closely approximate the plausible motion of elements in the image. We further refine computed dense optical flow map FD using a generative-adversarial network (GAN) to obtain a more realistic flow map. We devise a novel UNet based architecture to autoregressively generate future frames using the refined optical flow map by forward-warping the input image features at different resolutions. We conduct extensive experiments on a publicly available dataset and show that our method is superior to the baselines in terms of qualitative and quantitative metrics. In addition, we show the qualitative animations of the objects in directions that did not exist in the training set and provide a way to synthesize videos that otherwise would not exist in the real world.
Digitising patient information leaflets using QR codes

Searchable abstracts of presentations at key conferences in endocrinology ISSN 1470-3947 (print) | ISSN 1479-6848 (online)
Automatic Generation of Conversational Skills from Dialog Datasets

Modern dialog agents are complex modular systems which, among others, may contain several natural language generation systems named skills. Having enough functionality to be independent chatbots, they often become building blocks for more complex systems able to converse on a range of topics. Such multiskill dialog agents are the closest thing to fully functional open-domain conversational systems. This work proposes an approach to generate conversational skills that, using open-source dialog data and a context of several utterances, can generalize to new domains and generate responses in a controlled and interpretable way. Although it is designed for the open domain, it may be used for automatic skill generation if a more domain-specific dialog skill is required.
Low-Bit Quantization of Transformer for Audio Speech Recognition

The automatic speech recognition is a challenging deep learning problem and transformer architectures have gained an immense improvement in the performance on that task. However, transformer-based models are computationally expensive and comparatively large, which creates issues on deploying them on the memory-constrained devices. Quantization is one of the most promising approaches in reducing the neural network’s size and latency. In this paper, we mainly focus on the optimization of the ASR transformer model by applying quantization and knowledge distillation. We apply the SotA quantization methods on the baseline ASR model and examine the sensitive layers which make significant contribution to the performance drop. We’ve come up with the improvements to accelerate the convergence of quantization methods and to enhance the quantization representation quality. Our modified 2-bit model has shown less than 1% drop in WER in comparison to the float model on the LibriSpeech dataset.
[Research on Hospital Operating Room Management System Based on PDA Code Scanning Technology].

In view of the high recognition error rate and long scanning time in the existing hospital scanning technology, a new hospital operating room scanning system is designed based on personal digital assistant (PDA). The PDA scanning device adopts PIC16F877A microcontroller of 8 bit for wireless transmission through RFID and bluetooth technology, the code scanning efficiency is greatly improved. In addition, in order to improve the accuracy of image analysis, this study also adopts the energy driven sampling classification algorithm (EDS-CA) to properly preprocess the medical data information received through PDA scanning, then constructs a function classifier, and improves the image processing efficiency according to the EDS-CA reduction process. The experimental results show that the average accuracy of the code scanning system designed in this study is 95%, which proves that PDA code scanning has good performance.
Analisis Butir Soal Ditinjau Dari Unsur Dimensi Pengetahuan Dan Jenjang Kognitif Soal Ujian Sekolah Tahun Pelajaran 2019/2020 dan 2020/2021 Mata Pelajaran IPA SDN 04 Kecamatan Pendopo

This study aims to describe the percentage of knowledge dimensions and cognitive levels on school exam questions for the 2019/2020 and 2020/2021 Science subjects at SDN 04 Pendopo District. This type of research is descriptive quantitative research. The research subject is in the form of school exam questions for science subjects. The object of research is the percentage of knowledge dimensions and cognitive level of the questions. The research instrument was in the form of a sheet of knowledge dimension analysis and cognitive levels. The results show that: The highest percentage of knowledge dimensions on US IPA 2019/2020 questions are factual dimensions of 33 questions (82.50%), conceptual dimensions of 7 questions (17.50%), and procedural and metacognitive dimensions of 0% . The highest percentage of dimensions in the US IPA 2020/2021 questions is the factual dimension of 32 questions (80.00%), the conceptual dimension is 8 questions (20.00%) and the procedural and metacognitive dimensions are 0%. Percentage of cognitive level of US IPA 2019/2020 items for the highest cognitive level, namely applying (C3) as many as 16 questions (40%), understanding (C2) as many as 13 questions (32.50%), analyzing (C4) as many as 11 questions ( 27.50%), and remembering (C1), evaluating (C5), and creating (C6) did not appear. Percentage of cognitive level of US IPA items in 2020/2021 for the highest cognitive level, namely analyzing (C4) as many as 19 questions (47.50%), applying (C3) as many as 12 questions (30.00%), understanding (C2) as many as 8 questions (20.00%), evaluates (C5) as much as 1 question (2.50%). Thus, it can be concluded that the quality of the school exam questions for the 2019/2020 and 2020/2021 school year subjects in SDN 04 Pendopo District is viewed from the dimensions of knowledge and cognitive level of the questions.