Reviewerly/exHarmony huggingface dataset:
Joint entity–relation extraction for natural disaster based on table filling

In this article, we propose a joint extraction of entity–relation triplets in natural disaster cases based on word pair relation table filling. For computational accuracy concerns or other reasons, traditional works often do entity recognition and relation extraction separately; it might put less attention over the task connections and triplet global association. We propose the Global Table Attention GRU (GL-TGRU) model as a joint approach that uses sequence information encoding and table information encoding to jointly learn the representation and enhance the global association of entity and relation in table filling. We evaluated the proposed model on the public data set SciERC and the natural disaster data set SSD-HDS, respectively. The F 1 scores of experimental results of the GL-TGRU model for entity identification and relation extraction achieved 65.81% and 37.30% on SciERC and achieved 93.89% and 84.06% on SSD-HDS. The results show our model helps to capture more global association relations of entity and relation, which can better identify the entity–relation triplet information.
The problems of national and foreign web-archiving in libraries. Web-archiving as a functional area

The author examines the current problems of web-archiving practice in this country and abroad. The international standards and other important documents were retrieved and analyzed; the contextual environment (international projects and organizations) were explored, related Russian legislation is evaluated. The method of inductive information analysis was applied to analyze current publications on the subject, projects and initiatives, and websites of leading research and service organizations. The author analyses international standards in web-archiving, defines key technological problems, and discusses modern software products for copying web-documents. He also analyses the trends in webarchiving in the aspect of saving personal user accounts: allocating personal digital archives in the regional cultural web-collections. The current status of national web-archiving is analyzed as the case study of B. Yeltsin Presidential Library which mission is to preserve resources related to the powers of the state: websites of governmental organizations and agencies. This group of web-documents can be replicated without any constraints as it comprises information on executive authorities. The author suggests a selective approach toward web-archiving, i. e. replication and building collections of webdocuments on socially important events.
Domain name as the element of library and information services personalization: The substantive and legal aspects

The author examines several provisions of using library’s domain name to personalize library and information services within the policy of library brand development and promotion. The library’s presence in the digital environment cannot be achieved without efficient branding strategy. It is vitally important to choose and use the “right” domain name to make users to identify the library’s website, to ingrain their positive associations – that is the main aim of registered service mark as the domain for the library’s website in the World Wide Web. The author focuses on personalization function of the library’s domain name similar to that of the service mark, The domain name is cited in advertising, used in official email addresses and, as a result, the users associate it with the library on the whole and its brand, in particular. Inclusion of the service mark as a verbal image into the domain name is an essential element of developing concerted strategy of individualization in the digital space. Similarities and differences in the functions of domain names and service marks as instruments of personalization in library and information activities are specified. The main accent is made on legal characteristics of the library’s service mark and domain name. The author examines the possibility to personalize library services in the digital space with domain name, as well as she emphasizes the role of Russian-language domain in expanding online resources usership.
Scientific information in modern society through the eyes of public library users

Increasing prestige of science, educating scientific and innovative outlook in population and its faithfulness to science and scientists make the priorities of the national policy. The authors present the findings of the survey of Novosibirsk library users (as the segment of society). The survey was to reveal their attitude toward science. The authors conclude: the overwhelming majority of users trust in scientific knowledge and acknowledge science significance. They demonstrate the willingness to keep pace with the latest developments. The specialized Internet resources and libraries are the main sources of information. The respondents are not eager to make decisions on science advancement and applying them, acknowledging that it is researchers and scientific communities that are to set forward research problems. It is of no account to the respondents which country researcher reside in. The users see the libraries as a depositary of scientific and popular literature, site for mass event intended to promote science. However their commitment is not that high: up to the half of the respondents “read sometimes”, and even less number attends popularization events (mostly tours). Probably, changing displays and diverse exhibitions would contribute to scientific knowledge promotion. The libraries are not at all times capable to provide access to scientific knowledge. The users are seen to be most interested in exhibitions on the subjects of psychology, medicine and technological achievements.
William “Willie” Hung Kang Lee (1940–2022)

Obituary| January 12, 2023 William “Willie” Hung Kang Lee (1940–2022) Bill Ellsworth; Bill Ellsworth 1U.S. Geological Survey (retired), Stanford University, Stanford, California, U.S.A. https://orcid.org/0000-0001-8378-4979 Search for other works by this author on: GSW Google Scholar Steve Kirby Steve Kirby * 2U.S. Geological Survey, California, U.S.A. *Corresponding author: stevenlyle@icloud.com Search for other works by this author on: GSW Google Scholar Author and Article Information Bill Ellsworth https://orcid.org/0000-0001-8378-4979 1U.S. Geological Survey (retired), Stanford University, Stanford, California, U.S.A. Steve Kirby * 2U.S. Geological Survey, California, U.S.A. *Corresponding author: stevenlyle@icloud.com Publisher: Seismological Society of America First Online: 12 Jan 2023 Online ISSN: 1938-2057 Print ISSN: 0895-0695 © Seismological Society of America Seismological Research Letters (2023) 94 (2A): 562–563. https://doi.org/10.1785/0220220389 Article history First Online: 12 Jan 2023 Cite View This Citation Add to Citation Manager Share Icon Share Facebook Twitter LinkedIn Email Permissions Search Site Citation Bill Ellsworth, Steve Kirby; William “Willie” Hung Kang Lee (1940–2022). Seismological Research Letters 2023;; 94 (2A): 562–563. doi: https://doi.org/10.1785/0220220389 Download citation file: Ris (Zotero) Refmanager EasyBib Bookends Mendeley Papers EndNote RefWorks BibTex toolbar search Search Dropdown Menu toolbar search search input Search input auto suggest filter your search All ContentBy SocietySeismological Research Letters Search Advanced Search The seismological community has lost one of its leaders and pioneers who led the creation of modern seismic networks while maintaining a sharp focus on the importance and value of the early instrumental and historical record. William “Willie” Hung Kang Lee was also a pioneer in such global seismology fields as seismic tomography. The Earth science literature abounds with his papers on diverse subjects under his frequently used moniker, W. H. K. Lee. Willie was born in wartime Guangxie, southern China on October 6, 1940, the sixth of seven children. His family fled to Macao in 1950 and then to... You do not have access to this content, please speak to your institutional administrator if you feel you should have access.
High Voltage Power Communication Network Security Early Warning and Monitoring System Based on HMAC Algorithm

Aiming at the problems of long time consuming and low accuracy of the current high voltage power communication network security early warning and monitoring system, a high voltage power communication network security early warning and monitoring system based on HMAC algorithm is proposed and designed. The system hardware adopts Siemens S7–1200 CPU, PT120 platinum thermal resistance and temperature transmitter, two-wire access method and three-wire access method to realize port access. Wrnb-230 sensor is selected as the core sensing equipment, and information monitoring is realized through YHJCQ's photosensitive electronic monitoring device. Information monitoring is realized by the light sensing electronic monitoring device of YHJCQ. The characters of early warning information are numerically processed by Bagging-SVM coding, and the support vector machine model is constructed to integrate the early warning parameters. According to the redundancy matrix of early warning parameters, the accommodating space parameters of the early warning platform are allocated to realize the network security early warning. The experimental results show that the designed HMAC algorithm based high-voltage power communication network security warning monitoring system can detect the abnormal state of intrusion signals well, and the warning accuracy is higher.
PUBLIC SPEAKING MASTERY FOR SMK GRADUATES’ COMMUNICATION SKILLS

The aim of this training was to acknowledge the SMK students the skills of communication. Public speaking was the main topic of this training. Public speaking mastery affects people’s relationship, leadership, and attitudes. The SMK graduates must have public speaking skill for their future when they are welcomed in workplace. The collaboration of the vocational skills, public speaking skill, and English-speaking skill will enter the graduates to the successful future. This training was held at SMKN 7 Batam from November 10th to 11th, 2022 with MM, RPL, TKJ, TITL, and TJAT students as the participants. This activity applied the community education with training-course technique. The training included mentoring, discussion, and practice in which the materials were the strategies of public speaking and basic course of English. The result of the activity was the educating the participants in controlling fear and anxiety while speaking in public. Besides, it was increasing the participants’ confidence.
WORKSHOP PERANCANGAN AUGMENTED REALITY SEDERHANA UNTUK MENJUNJANG PEMBELAJARAN BIOLOGI DI SMK N 8 BATAM

Most community activities can be carried out via smartphones, including learning activities carried out remotely. However, not all students are able to use smartphones as learning aids, most of the students use them only for entertainment in the form of accessing social media, live streaming and playing games. This activity results in students being away from learning, especially when outside of school. In addition, the teacher also does not have specific learning media in accordance with the material to be taught at school, so that the use of this tool is very minimal for learning activities. In order for the use of this smartphone to be more positive among students, it is necessary to provide workshops that can increase students' interest in learning, one of which is with augmented reality, namely technology that combines virtual objects with the real world. Through this technology, students will be taught to design 3-dimensional objects and implement them into learning. It is hoped that by increasing students' knowledge of augmented reality technology, the use of smartphones will become more positive and can improve the quality of student learning. The implementation of this service uses an inquiry and performance model where students are given material and immediately practice the material being taught, it is hoped that at the last meeting students can complete several 3-dimensional objects and apply them in learning.
PENINGKATAN KEMAMPUAN SPEAKING BAHASA INGGRIS PADA “SOBAT ABROAD ENGLISH CLUB” DENGAN MENGGUNAKAN PLATFORM GOOGLEMEET

English speaking is urgently needed in the industrial era, especially in Batam City which is essential for international communication between countries so as to facilitate people who want to travel to abroad. ‘Sobat Abroad English Club’ is a English club which prepares English students to continue their studies in foreign countries. The club needs a guide to improve their English speaking via Googlemeet. The, they collaborate LPPM Unrik to improveEnglish speaking skills with the googlemeet platform. All service activities are carried out within a span of 5 months (Juli 2022-Desember 2022). The results showed that the post-test results got a conclusion that the improvement of 'speaking' ability of member of Sobat abroad was good with an average score of 73.9, while the lowest score was 68.3 and the highest score was 81.6. The lowest average score is 68.3 and the highest is 73.9 with an average of 73.9. So the average result of the pre-test and post-test scores is 79.4, Thus, the achievement value of members of ‘Sobat Abroad English Club’ abroad was significantly improved and categorized as ‘good’.&#x0D; &#x0D; Keywords— Improving, English Speaking, Googlemeet&#x0D; &#x0D; &#x0D;
THE LEGAL NATURE OF CRYPTOCURRENCIES, PRIVATE LAW REGULATORY ISSUES

This article is devoted to the private law problems of regulating cryptocurrencies and some of the problems that cryptocurrencies can cause. Cryptocurrencies are very popular with offenders, since crimes committed with them have a high level of confidentiality. Cryptocurrencies allow you to transfer money without the intervention of a third party in the person of a banking organization, which simplifies transfers and guarantees their anonymity. The article also discusses the problem associated with the decentralization of blockchain technology, the nodes of which can be located all over the world and, accordingly, obey conflicting laws. Also, the article discusses blockchain technology, which is a special type of database and was first used in the Bitcoin system in 2008. Blockchain technology is an integral part of most of the current cryptocurrencies, as many of them are based on this technology. The relevance of this article is caused by the presence of some private law problems of regulating cryptocurrencies, which are discussed in this article.
MODERN TECHNOLOGIES OF THE ORGANIZATION OF TRAINING THROUGH THE DESIGN OF EDUCATIONAL ROBOTICS

This article discusses the areas of application, organization of project activities in educational robotics. Information is also provided on the forms of organization of robotics lessons, the effectiveness of training. The organization of project activities in robotics is in great demand. The implementation of project activities on educational robotics allowed schoolchildren to get a great opportunity. The directions of application of LEGO robotic complexes in the framework of a school lesson and additional education, the main stages of project development through the LEGO program are shown. Project-based learning is aimed at the cooperation of a teacher and a student, the development of creative abilities, is a form of assessment in the process of continuing education, allows the early formation of professionally significant skills of students.
Attention mechanism and skip-gram embedded phrases

This article examines common translation errors that occur in the translation of legal texts. In particular, it focuses on how German texts containing legal terminology are rendered into Modern Greek by the Google translation machine. Our case study is the Google-assisted translation of the original (German) version of the Constitution of the Federal Republic of Germany into Modern Greek. A training method is proposed for phrase extraction based on the occurrence frequency, which goes through the Skip-gram algorithm to be then integrated into the Self Attention Mechanism proposed by Vaswani et al. (2017) in order to minimise human effort and contribute to the development of a robust machine translation system for multi-word legal terms and special phrases. This Neural Machine Translation approach aims at developing vectorised phrases from large corpora and process them for translation. The research direction is to increase the in-domain training data set and enrich the vector dimension with more information for legal concepts (domain specific features).
Exploring the Communication Strategy of Intangible Cultural Heritage in the New Media Context

As the pearl of China’s intangible cultural heritage, there are still many difficulties in the development of opera. This paper takes Meilin opera of Sanming City, Fujian Province, as an example, analyzes the current situation of the inheritance of Meilin opera in the context of “Internet+”, and compares it with the development of similar operas, and finally discusses the new strategies for the protection and development of intangible cultural heritage such as opera from the perspective of communication path and communication mechanism.
Super-resolution reconstruction based on Gaussian transform and attention mechanism

Image super-resolution reconstruction can reconstruct low resolution blurred images in the same scene into high-resolution images. Combined with multi-scale Gaussian difference transform, attention mechanism and feedback mechanism are introduced to construct a new super-resolution reconstruction network. Three improvements are made. Firstly, its multi-scale Gaussian difference transform can strengthen the details of low resolution blurred images. Secondly, it introduces the attention mechanism and increases the network depth to better express the high-frequency features. Finally, pixel loss function and texture loss function are used together, focusing on the learning of structure and texture respectively. The experimental results show that this method is superior to the existing methods in quantitative and qualitative indexes, and promotes the recovery of high-frequency detail information.
On Ao Changqun's Patriotic Feelings in His Songs

Patriotism is a complex of loving and defending one's own country. As an outstanding contemporary composer in China, Ao Changqun has created a large number of excellent music works covering symphony, chamber music, concerto, opera, dance drama and other genres, and works that highlight patriotism play an important role in his music creation. This paper introduces Professor Ao Changqun's general situation of creation, combs his songs, and explores the patriotic feelings in his songs from three aspects: love of the motherland, love of the nation, love of hometown.
The Condition and Path of Effective Realization of Personalized Teaching in Intelligent Age

In the teaching situation of large class size and education homogenization, personalized teaching is difficult to achieve effectively. With the gradual penetration of intelligent technology into classroom teaching, the realization of personalized teaching has a new possibility. The effective realization of personalized teaching in the intelligent age needs the organic integration of intelligent technology and personalized teaching. Therefore, both intelligent technology and personalized teaching need to make necessary changes. Intelligent technology needs to deeply sketch students' learning portrait with big data, build personalized teaching resource library on cloud platform, enhance teachers' personalized teaching ability with artificial intelligence, and provide personalized teaching network environment with Internet, etc. Based on the integration of the two, the effective way to realize personalized teaching supported by intelligent technology is to establish differentiated teaching objectives, organize diversified teaching contents, select targeted teaching methods, integrate various learning organization forms and construct accurate teaching evaluation and feedback system.
Research on Lovelorn Emotion Recognition Based on Ernie Tiny

Topics related to sentiment classification and emotion recognition are an important part of the Natural Language Processing research field and can be used to analyze users' sentiment tendencies towards brands, understand the public's attitudes and opinions on public opinion events, and detect users' mental health, among others. Past research has usually been based on positive and negative emotions or multi-categorized emotions such as happiness, anger and sadness, while there has been little research on the recognition of the specific emotion of lovelorn. This study aims to identify the lovelorn emotion in text, using deep learning pretrained model ERNIR Tiny to train a dataset consisting of 5008 pieces of Chinese lovelorn emotion text crawled from social media platform Weibo and 4998 pieces of ordinary text extracted from existing available dataset. And finally, it was proved that ERNIE Tiny performs well in classifying whether a text contains lovelorn emotion or not, with F1 score of 0.941929, precision score of 0.942300 and recall score of 0.941928 obtained on the test set.
Accurate unsupervised monocular depth estimation for ill-posed region

Unsupervised monocular depth estimation is challenging in ill-posed regions, such as weak texture scenes, projection occlusion, and redundant error of detail information, etc. In this paper, in order to tackle these problems, an improved unsupervised monocular depth estimation method for the ill-posed region is proposed through cascading training depth estimation network and pose estimation network by loss function. Firstly, for the depth estimation network, a feature extraction network using asymmetric convolution is designed instead of traditional convolution, which strengthens the extraction of the feature information and improves the accuracy of the weak texture scenes. Meanwhile, a feature extraction network integrating multi-scale receptive fields with the structure of different scale convolution and dilated convolution stack is designed to increase the underlying receptive field of the depth estimation network, which strengthens the fusion ability of the network for multi-scale detail information, and improves the integrity of the model output details. Secondly, a pose estimation network using an attention mechanism is presented to strengthen the pose detail information of keyframes and suppress redundant errors of the pose information of non-keyframes. Finally, a loss function with minimum reprojection error is adopted to alleviate the occlusion problem of the projection process between adjacent pixels and enhance the quality of the output depth images of the model. The experiments demonstrate that our method achieves state-of-the-art performance on KITTI monocular datasets.
Three levels at which the user's cognition can be represented in artificial intelligence

Artificial intelligence (AI) plays an important role in modern society. AI applications are omnipresent and assist many decisions we make in daily life. A common and important feature of such AI applications are user models. These models allow an AI application to adapt to a specific user. Here, we argue that user models in AI can be optimized by modeling these user models more closely to models of human cognition. We identify three levels at which insights from human cognition can be-and have been-integrated in user models. Such integration can be very loose with user models only being inspired by general knowledge of human cognition or very tight with user models implementing specific cognitive processes. Using AI-based applications in the context of education as a case study, we demonstrate that user models that are more deeply rooted in models of cognition offer more valid and more fine-grained adaptations to an individual user. We propose that such user models can also advance the development of explainable AI.