Reviewerly/exHarmony huggingface dataset:
Verification of the Deck Arrangement of a Small-Scale Trawl Fishing Boat Using Virtual Space Simulation Technique

Utilizing virtual space simulation technique on which we can simulate workflow lines virtually, deck arrangements were examined on a small-scale trawl fishing boat for efficient on-board work. The basic arrangement and work contents were based on an actual fishing boat operated in Ibaraki Prefecture. Three types of deck arrangement reproduced in virtual space, that is, the existing arrangement (bridge on the center of the hull, fish holds on the bow-side, and work deck on the stern-side), the bow-side bridge arrangement (bridge on the bow-side, fish holds and work deck on the center and the stern-side), and the bow-side bridge arrangement with a wider ship hull. The workflow lines during the fish catch transportation work were simulated. As a result, the working time were about half, and the walk distance were about 40% of the existing arrangement for the two types of the bow-side bridge arrangements.
Putting Data to Work: ESIP and EarthCube working together to trasform geoscience

&amp;lt;p&amp;gt;We believe that society's quality of life, economic opportunities, and stewardship of the planet are enhanced by regular use of scientifically sound Earth science data and information provided in a timely manner by a community that is collaborating to improve their collective services. The Earth Science Information Partners (ESIP) and the NSF EarthCube initiative have worked together over the last seven years to find alignment across distributed data networks.&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;As we enter the last three years of this decade-long EarthCube experiment, ESIP and the EarthCube Office (ECO) are building on the foundational work done over the last seven years, taking steps to provide continuity to the existing EarthCube community while looking toward the future to expand EarthCube&amp;amp;#8217;s reach across geosciences disciplines. Fundamental work includes designing outreach and education activities for researchers interested in acquiring the skills needed to ensure their data practices are Findable Accessible Interoperable Reusable (FAIR) and beyond.&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;This year we will focus on the theme: 'Putting Data to Work.' By&amp;amp;#160;increasing development and access to technology innovations, and nurturing a community of technically-savvy and engaged geoscientists through outreach activities like society meeting Data Help Desks, training and increased visibility. By building data stewardship capacity and working together across domains in the geoscience research ecosystem we will do better science, leaving a lasting legacy from EarthCube of fundamentally transforming geoscience. &amp;amp;#160;&amp;lt;/p&amp;gt;
TRENDS IN POST COVID HIGHER EDUCATION

TRENDS IN POST COVID HIGHER EDUCATION Madina Ashilova Associate Professor of the Department of International Communications of the Abylai Khan Kazakh University of International Relations and World Languages, &nbsp;Kazakhstan, Almaty Ali
Peer review declaration

Abstract All conference organisers/editors are required to declare details about their peer review. Therefore, please provide the following information: • Type of peer review: Single-blind / Double-blind / Triple-blind / Open / Other (please describe) All papers were subjected for review in term of format and appropriate contents by two independent reviewers (double-blind review) • Conference submission management system: For official information, we develop using the University platform: http://icrp.unsyiah.ac.id/id, while for paper submission, We used the EasyChair conference management system: https://easychair.org/my/conference?conf=icrp2021 • Number of submissions received: In total, we received 106 submitted papers through submission system • Number of submissions sent for review: A total of 82 papers were sent to the reviewers, while 24 submission paper were rejected due to irrelevant topics and not full paper submissions (abstract only). • Number of submissions accepted: A total of 69 papers were accepted for presentations and publication on ICRP 2021. • Acceptance Rate (Number of Submissions Accepted / Number of Submissions Received X 100): Acceptance rate = 65% • Average number of reviews per paper: 2x for major revisions and 1x for minor revisions • Total number of reviewers involved: 32 reviewers • Any additional info on review process: The review process were carried out by assigning two potential respective reviewers by track editors. The review itself approximately took maximum 3 weeks to complete. • Contact person for queries: (please include name, affiliation and email address) Dr.-Ing. Agus Arip Munawar ( aamunawar@unsyiah.ac.id ) Dr. Cut Dewi ( cutdewi@unsyiah.ac.id ) Dept. of Architecture and Planning, Syiah Kuala University Jl. T Syekh Abdul Rauf No. 7 Banda Aceh – Indonesia Email: icrp@unsyiah.ac.id
Message from the Chair of the Technical Programme Committee

The focus of the ITU Kaleidoscope 2021 (K-2021) academic conference is on how the on-going digital transformation is blurring the distinction between our physical and virtual worlds. Technical standards as well as policies and regulation have their respective roles in ensuring that the new immersive experiences benefit humanity at large. Because the Covid-19 pandemic is still affecting communities around the world, for the second year in a row, K-2021 is held online from 6 to 10 December 2021. The conference programme includes eighteen original papers retained from a total of 39 submissions, after a double-blind peer-review process. The video demonstration track, which was introduced in last year's Kaleidoscope, has now four demonstrations. Also, thanks to Laetitia Bochud, Director of Virtual Switzerland, a K-2021 partner, the coffee breaks will include entertainment segments to show how immersive technologies can be used in dance, theatre productions and live performances. The contributors to K-2021 hail from all continents. To accommodate the various time zones over the globe, each day's proceedings are limited to around 3 1/2 hours. The authors of the best papers presented at the conference will share a prize fund of CH 6 000. In addition, young authors of up to 30 years of age presenting accepted papers will receive Young Author Recognition certificates. In my role as the chair of the technical programme committee (TPC), I would like to thank all 56 reviewers, whether members of the TPC or anonymous reviewers, for assisting the steering committee in making the selection. Members of the steering committee were also essential in preparing three keynote sessions and in inviting two papers dealing with the conference's theme. They also helped organise two special sessions on the intersection of the technology with culture, and its effects on the future of museums, art galleries and live performances. I would also like to thank our technical co-sponsors and partners. The K-2021 conference proceedings (as well as those of the previous conferences) can be downloaded free of charge from http://itu-kaleidoscope.org. As customary with the Kaleidoscope conferences, per agreement with the IEEE, all papers accepted and presented at the conference will be included in the IEEE Xplore Digital Library. In addition, selected papers will be considered for publication in a special-feature section of the IEEE Communications Standards Magazine. Finally, I would like to thank the ITU team lead by Alessia Magliarditi and including Emer Windsor, Erica Campilongo and Simiso Dlodlo, as well as Gent Bajrami from the ITU-T Operations and Planning Department, for their unwavering support. It is thanks to their dedication that the Kaleidoscope series of academic conferences improves year after year.
Incident detection

All transport networks are subject to unexpected disruption. The identification that disruption has taken place is usually given the broad title of &apos;incident detection&apos;. Taking the first question, we can consider an &apos;incident&apos; to be an unplanned event that results in a set of consequences. These impacts might be a reduction in safety or increase in the level of hazard to road users, including maintenance and vehicle recovery workers who are present in the road; a loss of highway capacity that leads to vehicles being delayed and traffic congestion or, of increasing concern and importance, an unacceptable increase in air pollution. The latter is also a consequence for nearby residents and workers and so affects people who are not travelling. An individual incident may create all of these consequences.
Discussion on Improving Information Security Literacy of University Teachers

Internet changes our life, but also increases security risks. Information society needs everyone to have information security literacy. University teachers should not only make full use of the benefits of informatization, master the skills of information selection and processing, but also enhance the awareness of information security and have good information ethics. Network security and informatization complement each other. In this paper, based on the analysis of the composition of information security literacy of university teachers, aiming at the existing problems, combined with specific practical experience, the Cultivation Countermeasures are discussed.
MPICC: Multi-Path INT-Based Congestion Control in Datacenter Networks

Network congestion causes severe transmission performance loss. Congestion control is the key to achieve low latency, high bandwidth and high stability. Due to the high regularity of topologies, datacenter networks contain abundant resources of equal-cost paths inherently and have huge potential for high-bandwidth transmission. Taking in-network telemetry (INT) information as the congestion signal, congestion control algorithms can monitor the network based on precise link load data. Hence the INT-based algorithm is the focus of recent high-precision congestion control research. However, existing INT-based congestion control algorithms handle the single-path transmission between the sender and the receiver, which cannot make full use of the abundant equal-cost paths resources in the network. In this paper, we make the first attempt to propose a multi-path INT-based congestion control algorithm, called MPICC. Compared with the most advanced INT-based congestion control algorithm HPCC, our method realizes multi-path coordinated transmission of data packets in datacenter networks. We conduct extensive experiments under various workloads to evaluate the performance of MPICC. The experimental results show that under the condition of ensuring high throughput of end hosts, MPICC is able to use multi-path to transmit data packets, which greatly reduces the flow completion time (FCT) of the flow in the network. Specifically, under three common datacenter workloads, Cache Follower, Web Search and Web Server, MPICC reduces the average flow completion time of the network by 20.1%, 14.4%, and 39.5%, respectively, and shortens the 97th-percentile flow completion time by 39.9%, 18.9% and 57.9%, respectively.
Computer Vision

This chapter provides an overview of computer vision methods and addresses applications in team game analysis. One focus is on the automatic tracking of players and game objects (balls, pucks, etc.). Advantages and disadvantages compared to other technologies are shown. In addition to basic methods for object tracking and more sophisticated approaches based on machine learning, specific solutions in the case of occlusions, such as probabilistic models, are presented. Another section of the chapter shows how to validate such video-based systems. In particular, comparison systems based on infrared cameras are used as a gold standard. The last section of the chapter shows concrete application scenarios of video-based systems in the analysis of the physical load in competition and training as well as for the analysis of tactical behavior. Concrete developments for analysis and use in football, hockey, basketball and other team sports are shown as examples.
Data Convergence for High-Performance Cloud

The distributed computing landscape has been undergoing radical changes: high-performance computing (HPC) applications are moving to the cloud, as a way of simplifying development, deployment, and migration across computing systems. Meanwhile, cloud applications are becoming increasingly complex and computationally intensive, with the advent of high-performance data analytics pipelines – highly distributed workflows dealing with enormous and diverse datasets, heavily relying on virtualization and containers, which would benefit from technologies used in “traditional” HPC. The foreseeable convergence demands new abstractions to cope with the increased heterogeneity, so that diverse workload classes can coexist seamlessly on the same infrastructure. In this chapter, we propose a unified storage layer, to enable cloud-native applications to transparently access a wide spectrum of storage solutions, ranging from high-performance filesystems to cloud-based object stores and key–value databases. Allowing software to exploit the best out of the storage services available with no need for manual intervention from users or programmers, simplifies development and execution of workflows, and boosts the overall productivity. This work has been motivated by the requirements of real-world, industry-driven applications running on Kubernetes, the industry standard for cloud infrastructure orchestration.
Kernel-Based Regressors Equivalent to Stochastic Affine Estimators

The solution of the ordinary kernel ridge regression, based on the squared loss function and the squared norm-based regularizer, can be easily interpreted as a stochastic linear estimator by considering the autocorrelation prior for an unknown true function. As is well known, a stochastic affine estimator is one of the simplest extensions of the stochastic linear estimator. However, its corresponding kernel regression problem is not revealed so far. In this paper, we give a formulation of the kernel regression problem, whose solution is reduced to a stochastic affine estimator, and also give interpretations of the formulation.
CMAT: Column-Mask-Augmented Training for Text-to-SQL Parsers

When it comes to text-to-SQL tasks, the model needs to learn context-based representations of schema along with natural language utterances. We present a simple and effective method for text-to-SQL tasks, Column-Mask-Augmented Training (CMAT), to make up for the insufficiency of training data. To exploit the synthesized data, we propose the clause prediction (CP) object for multi-task learning, which forces the model to capture contextual features of the schema items. Besides, we add the fuzzy match and subword match to the schema linking strategy in RAT-SQL. As a result, our method significantly increases the recall and F1 value of schema linking and achieves a competitive result with RAT-SQL and GraPPa on Spider.
Prediction and risk stratification from hospital discharge records based on Hierarchical sLDA

The greatly accelerated development of information technology has conveniently provided adoption for risk stratification, which means more beneficial for both patients and clinicians. Risk stratification offers accurate individualized prevention and therapeutic decision making etc. Hospital discharge records (HDRs) routinely include accurate conclusions of diagnoses of the patients. For this reason, in this paper, we propose an improved model for risk stratification in a supervised fashion by exploring HDRs about coronary heart disease (CHD).We introduced an improved four-layer supervised latent Dirichlet allocation (sLDA) approach called Hierarchical sLDA model, which categorized patient features in HDRs as patient feature-value pairs in one-hot way according to clinical guidelines for lab test of CHD. To address the data missing and imbalance problem, RFs and SMOTE methods are used respectively. After TF-IDF processing of datasets, variational Bayes expectation-maximization method and generalized linear model were used to recognize the latent clinical state of a patient, i.e., risk stratification, as well as to predict CHD. Accuracy, macro-F1, training and testing time performance were used to evaluate the performance of our model.According to the characteristics of our datasets, i.e., patient feature-value pairs, we construct a supervised topic model by adding one more Dirichlet distribution hyperparameter to sLDA. Compared with established supervised algorithm Multi-class sLDA model, we demonstrate that our proposed approach enhances training time by 59.74% and testing time by 25.58% but almost no loss of average prediction accuracy on our datasets.A model for risk stratification and prediction of CHD based on sLDA model was proposed. Experimental results show that Hierarchical sLDA model we proposed is competitive in time performance and accuracy. Hierarchical processing of patient features can significantly improve the disadvantages of low efficiency and time-consuming Gibbs sampling of sLDA model.
MULTIMODAL PEDAGOGICAL DESIGN AND LESSONS IN THE PHILOSOPHY OF EXISTENTIALISM (ON THE EXAMPLE OF A. ZVYAGINTSEV'S FILMS)

The authors of the article consider the concept of multimodal pedagogical design in the works of the founders of this concept M. Kalantzis and B. Cope. They connect the necessity of multimodal pedagogical design implementation with the formation of new, non-didactic digital pedagogy and the need to strengthen the emotional involvement of students, especially those from another culture and need to be immersed in a socio-cultural context. The experience of multimodal pedagogical design application is analyzed on the example of using films and website of Russian director A. Zvyagintsev, who develops traditions of existential cinematography and creates complex intertextual and culture-centered artistic language in his film narratives. The authors involve scientists from the Center for Media Education (Taganrog), Ural Federal University, and foreign colleagues to discuss the potential of cinematography as one of the instruments of multimodal pedagogical design around which the study of certain disciplines can be built. The conclusion is that only by engaging modern multimodal means of transferring knowledge and transforming existential experience, such as modern cinema and social networks, websites, blogs, it is possible to successfully attract and retain the attention of the audience in the remote education process.
Track 3 Using the Web in the Back Room

Serials and technical services departments use the Web as a tool, as do agents and publishers who interact with library serials departments. This workshop included finding resources to help with technical services dealing with electronic journals and using the Web as a staff communication tool. Participants created a professional or departmental home page that included technical services resources. Techniques covered included use of the various search engines, lists, tables, frames and use of “attributes” with HTML tags. [Article copies available for a fee from The Haworth Document Delivery Service: 1-800-342-9678. E-mail address: getinfo@haworth.com]
Business Models for Stakeholder Participation in the Future TE World

The electric power industry is rapidly changing, and the change is accelerating with the increased penetration of distributed energy resources like wind, solar, and storage. Another trend, beneficial electrification, ultimately will convert a large portion of energy consumption from liquid fuels to electricity, further accelerating grid transformation. At the same time, consumer expectations are changing with the relationship between consumers, utilities, and other entities radically changing with consumers actively participating in the electric grid. Utilities and policymakers will need to respond to this grid evolution.In the future grid, stakeholders will see a more participatory, distributed, resilient, and cleaner grid, but new business models will need to emerge. The utility industry and other stakeholders are looking at new economic-based approaches like Transactive Energy to provide a prominent role in the transition from a top-down, centralized system to a more bottom-up distributed system for value transfer. What architecture, procedures, controls, and business models will drive this adoption of Transactive Energy in the future grid?It is currently unclear what business models will prevail for both utilities and consumers in this new vision. Will it be a single business model, or will there be many business models based upon different use cases and locations supported by a future Transactive Energy architecture? In this paper, participants will get a quick overview of the expected future grid architecture and likely business models enabled by that architecture, allowing for flexible coordination of both centralized and distributed electrical grid elements.
Culturological survey of primitive art artifacts

The purpose of the article is to explore technological progress in the context of the development of a primitive culture. The methodology is based on an integrated approach and relies on analytical (when analyzing philosophical, art history, cultural studies literature on the subject of research), historical (when clarifying the stages of development of primitive culture), and conceptual (when analyzing the role of technology in the cultural development of mankind) research methods. The scientific novelty of the article lies in the fact that for the first time the formative role of technology in the cultural development of mankind is investigated, and also the cooperative nature of the production of artifacts of primitive culture is determined. Conclusions. As a result of the study of archaeological finds of primitive culture, it has been established that in the course of cultural evolution, tools at hand have become cultural artifacts, and in the end – and works of art. The introduction of technological inventions has radically changed the specifics of the manufacture of art products. Consequently, as a result of the transformation of technological devices and understanding the logic of the organization of the production process, there is not only a decrease in the form of artifacts but also an improvement in the aesthetic form.
Pattern recognition

There is an indefinite number of different scenarios when it comes to nondestructive testing (NDT) using ground penetrating radar (GPR). Each scenario has its own properties with respect to system specification, material properties, and environment conditions. In the preceding chapters, it was made amply clear that electromagnetic (EM) wave propagation results in complex responses even from simple configurations of materials and targets in any given scenario. In GPR, the responses from the testing environment are used to identify and quantify targets and other features that may be of interest. The raw data must be processed in a way that provides useful, dependable information that can be acted upon. Pattern recognition is a very important step in the overall purpose of extracting useful information from the received signals.
MEDIA

Africa Research Bulletin: Political, Social and Cultural SeriesVolume 57, Issue 2 p. 22640B-22641C Social and Cultural MEDIA First published: 18 March 2020 https://doi.org/10.1111/j.1467-825X.2020.09347.xRead the full textAboutPDF ToolsRequest permissionExport citationAdd to favoritesTrack citation ShareShare Give accessShare full text accessShare full-text accessPlease review our Terms and Conditions of Use and check box below to share full-text version of article.I have read and accept the Wiley Online Library Terms and Conditions of UseShareable LinkUse the link below to share a full-text version of this article with your friends and colleagues. Learn more.Copy URL Share a linkShare onFacebookTwitterLinked InRedditWechat No abstract is available for this article. Volume57, Issue2March 2020Pages 22640B-22641C RelatedInformation