Reviewerly/exHarmony huggingface dataset:
Bottom-up Discovery of Context-aware Quality Constraints for Heterogeneous Knowledge Graphs

As knowledge graphs are getting increasingly adopted, the question of how to maintain the validity and accuracy of our knowledge becomes ever more relevant.We introduce context-aware constraints as a means to help preserve knowledge integrity.Context-aware constraints offer a more fine-grained control of the domain onto which we impose restrictions.We also introduce a bottom-up anytime algorithm to discover contextaware constraint directly from heterogeneous knowledge graphs-graphs made up from entities and literals of various (data) types which are linked using various relations.Our method is embarrassingly parallel and can exploit prior knowledge in the form of schemas to reduce computation time.We demonstrate our method on three different datasets and evaluate its effectiveness by letting experts on knowledge validation and management assess candidate constraints in a real-world knowledge validation use case.Our results show that overall, context-aware constraints are to an extent useful for knowledge validation tasks, and that the majority of the generated constraints are well balanced with respect to complexity.
SuperConv: Strengthening the Convolution Kernel via Weight Sharing

For the current neural network models, in order to improve the accuracy of the models, we need efficient plug-and-play modules. Therefore, many efficient plug-and-play operations are proposed, such as Asymmetric Convolution Block (ACB). However, the introduction of multi-branch convolution kernels in ACB increases the trainable parameters, which is an extra burden to the training of large models. In this work, SuperConv is proposed to reduce the trainable parameters while maintaining the advantages of ACB. SuperConv utilizes the method in single-path NAS to encode the convolution kernels of different sizes in multiple branches into a super-kernel, so that the convolution kernels can share some weights with each other. In addition, we introduce SuperConv into MixConv and propose SuperMixConv (SP-MixConv). To verify the effectiveness of SP-MixConv, ACB, MixConv and SP-MixConv are inserted into the Cifar-quick model and the model with SP-MixConv gets the best accuracy on CIFAR-10 and CIFAR-100. And SuperConv and SP-MixConv will not add extra burden in inference. Simultaneously, SuperConv is very easy to implement, using existing tools such as Pytorch, and is also an interesting attempt for the design of efficient plug-and-play convolution block.
Constraints on the Timing of Surface Uplift of the Iranian Plateau (Arabia-Eurasian Collision Zone) from Clumped Isotope Thermometry on Pedogenic Carbonates

&amp;lt;p&amp;gt;Orogenic plateaus are extensive, elevated, arid, generally internally drained, morphotectonic provinces of low internal topographic relief that represent a striking and enigmatic feature of Earth&amp;amp;#8217;s continental landscapes. They are located along convergent plate boundaries and have a profound impact on regional and global climate, erosional processes, local- to far-field deformation mechanisms and the long-term distribution of biomes and biodiversity. Although the paramount role of large orogenic plateaus in shaping our planet is widely appreciated, the question of why, where, and how some orogenic systems develop large plateaus remains a first-order problem in our understanding of lithospheric evolution and orogenic processes.&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;Here, we present a clumped isotope paleoaltimetry study to document the elevation history of the Iranian Plateau, with the goal of understanding the rates and mechanisms of orogenic plateau rise. This plateau is in the Arabia-Eurasia collision zone, has a mean elevation of ~ 1.8 km, steep margins with mountain peaks higher than 4 km, and experienced surface uplift sometime after the middle Miocene as documented by the occurrence of ca. 17-My-old marine deposits in the plateau interior.&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;Preliminary results from Early Miocene to Quaternary pedogenic carbonates on the plateau interior and the adjacent, less elevated, intermontane Tarom basin suggest that surface uplift must have occurred sometime between 12-11 and 8 Ma. The lack of significant crustal shortening and thickening during this time interval and the occurrence of a renewed phase of adakitic volcanism by ca. 11 Ma suggests that surface uplift may have been driven by deep-seated processes associated with asthenospheric flow.&amp;lt;/p&amp;gt;
STATISTICAL INVESTIGATION OF ACCURACY OF SATELLITE ELEVATION DATA: A CASE STUDY

In this work we have used SRTM 90 and 30m, ASTER 30m and 60 cm Google Earth (GE) based elevation datagenerated using online tool Terrain Zonum, validation was performed with respect to Survey of India (SOI)toposheet. These results are important for those areas where limited field data are available. It also provides abenchmark for validation of future DEM with respect to SOI toposheet. Statistical tests were applied to assessvertical accuracy.The results highlight a minimum and maximum RMSE of 1.54m and 3.75m for temples and settlement,SRTM-30m, ASTER-30m and temples (1.84m) and 4.54m (for settlement) respectively with respect to SOItoposheet. Similarly, SRTM-90m indicate min and max RMSE of 1.88m and 6.57m for temples and other typeof trees respectively. While Google Earth (GE) model show minimum 16.08m (for settlement) and maximum is29.35m (for temples). We observed that SRTM-30m has good vertical accuracy for all classes (forest, towers,settlement, boundary pillars, temples and other types of tree). SRTM-30m score first rank for study area (TehriDistrict of Uttarakand, India) on the basis of statistical analysis.
Research on intelligent campus construction based on virtual reality technology

In recent years, with the rapid advancement of computer technology, virtual reality technology has developed rapidly. With the virtual reality technology has entered the mature development period, and led to the strong promotion of information digitization, the concept of “smart campus” has also emerged.“Smart campus” is to build the overall model of the campus in the computer through the three-dimensional modeling of the campus, and then through some interactive functions to achieve the user's control of the digital campus, with information centralization, interface visualization, easy operation and other advantages. Therefore, it can be seen that the “smart campus” itself is built on virtual reality means, and a new type of smart campus is created through the use of comprehensive and diversified measures. It plays an important role in the digitalization of real campus, virtual education, campus planning, and publicity and display.
Type-2 fuzzy controller’s performance index. Case study: tank level control

Abstract This paper deals with the design and implementation of type-2 fuzzy controller, through a tank level control plant as a pilot system to analyze the response using performance indexes. The controller was developed using type-2 fuzzy logic from a mathematical approach and utilizing the identification of the process through a parametric method. Additionally, a classical proportional, integral, and derivative controller was used to generate the bases for the linguistic variables required by the fuzzy controller implementation. Finally, a statistical analysis of the transient and steady-state response margins is performed, which aims to provide a numerical index of the system response performance.
Development of Real Size IT Systems with Language Competence as a Challenge for a Less-Resourced Language

In this paper, based on the example of our early works for Polish, we want to share our experience in the challenging task of developing NLP-based technologies in the situation of initial scarcity of digital language resources that ranked Polish among the Less-Resourced Languages. We present some of our projects aiming at language resources and tools we had to develop in order to be able to process text in Polish and to develop real-scale systems with language understanding competence. The case study we present here is the rule-based system POLINT-112-SMS for improving information management in emergency situations. We argue in favor of the lexicon-grammar approach to formal description of highly inflected languages and present our current work on this grammatical paradigm.
Realistic Threats and Realistic Users: Lessons from the Election

The speaker will utilize his experience from inside one of the world's largest social networks during the 2016 and 2018 elections, and running an election integrity war room in 2020 to discuss the ways that technology fails the people we try so hard to serve. We will discuss the realistic assumptions we can make about threats, and the expectations we should have of users, and try to chart a path forward for how cutting-edge security research might better inform the engineers and product designers who end up putting computing technologies in the hands of billions.
Modern features of the DEM software system—BLOCK

The BLOCK is a software system of the discrete element method developed in line with the modern trends of programming. It is solely developed by Chinese and has independent copyrights. Highly integrated, the system can work through every stage continuously from data input to final computation reports or theses without the help of third party software. The BLOCK system has put great emphasis on data visualization including post processing, tracking and steering. Other modern feature of the BLOCK system is the ability to connect to the Internet.
Analysis Of Reading Materials In Pathway An English Textbook For Indonesian Senior High School Students

A material in a textbook has to fit with the curriculum, syllabus, and students’ background of knowledge, aims and the goal of teaching learning process itself. Thats why this research is important to be conducted. The data collected for this study gathered from the English textbook Pathway to English published by Erlangga. The data were in the form of reading material or reading passages provided in the textbook. The objectives of this research is to discover whether the Pathway to English textbook has fulfilled the criteria of good reading material based on Hetherington’s reading evaluation criteria. The result findings of this research showed that almost all criteria of good reading materials from Hetherington are fulfilled by Pathway to English Textbook. Based on the findings of this study the researcher suggested that teachers and educational institution should pay attention more with the content of the textbook and its relevance with the curriculum and appropriate with the students’ need.
PROPOSED METHOD FOR IMAGE SEGMENTATION USING GRAPH THEORY

Abstract This paper presents an image segmentation technique using graph tools for object detection. Graph theoretical systems have many good features among different segmentation schemes. It organizes the image elements into mathematically and structural form, and makes the problem formulation more flexible, and the computation more efficient. In this paper, the work, consists of two stages, in the first stage we apply the pixel-based labeling algorithm to the binary image, the algorithm works similarly to the eight connectivity labeling, but it is broader than it in terms of the search area, where two (horizontal and vertical) thresholds are first defined so that the search is in a block whose height is the vertical threshold and its width (2 * horizontal threshold), in the second stage the output of the first stage is mapping into an undirected weighted graph, in which each vertex represent region rather than pixel. We evaluate the results by comparing it with other method using (RI) parameter. We use 50 image from online source and image taken from Berkeley database.
Research on The Design of Japanese Mobile Learning System Based on WAP

To provide a solution for establishing a Japanese mobile learning system, this paper presents a technology-based mobile learning platform solution. Based on WAP2.0 technology and LAMP open-source development environment, a mobile cooperative learning system is proposed. In this paper, the system requirements, design principles, functions and other aspects of the detailed planning and design are discussed, including information release module, educational administration management, courseware on demand and video teaching. The key problems of resource conversion and data sharing in the system are also studied. Finally, the prototype of the system has been realized, and the simulation test environment test effect of mobile operating system running based on Windows Mobile 6.0 is established. The result shows that the system has the characteristics of low cost, strong practicability, with simple and easy usability, which greatly improves the learning efficiency of users and meets the needs of students' personalized learning.
Eye tracking investigation when human manipulates mobile robot from robot viewpoint

Our laboratory aims to make the robot avoid obstacles using only image information. What is important in achieving such a goal is appropriate processing of external environment information, and it is necessary to define what information is focused on and what is used. To get hints for making such a definition, we decided to investigate when a human was in the same environment as a robot. This paper describes the development of a system used for eye tracking research when a subject operates a mobile robot from the viewpoint of a robot.
Identification and Classification of Research Data Cited in Scholarly Papers

This paper proposes a method for identifying and classifying the research data cited in scholarly papers, aiming at automatic generation of metadata stored in data repository. This study focuses on URL citations in the scholarly papers. That is, the targets are to identify the URLs referring to the research data and to classify them into tool and data. The method is realized as a multi-class classification (tool/data/others). The method acquires the distributed representations of the URLs from the context around them, and uses them as the input feature. There exists an advantage in that the meanings of URLs can be given based on their surrounding words. This study adopts an approach of computing the meaning of the entire URL from those of the components of the URL. In order to evaluate the performance of the proposed method, experiments on URL classification were conducted. The scholarly papers included in the proceedings of the international conference were used as experimental data. Experimental results have shown the effectiveness of the proposed method for identifying and classifying URLs referring to research data.
A CONCEPTUAL ARTICULATION OF TEAM TRUST ON TEAM PERFORMANCE IN UNIVERSITY SCIENTIFIC RESEARCH TEAMS IN JIANGSU PROVINCE, CHINA

The aim of this paper is to establish a conceptual articulation of team confidence in team success in scientific research teams at universities in the province of Jiangsu, China. Many universities have set up scientific research teams in order to produce further scientific research achievements and to promote progress. The study goals of this research are knowledge-based university science research teams. Fundamentally, the main objective of the analysis is to examine the effect of team confidence on team success in scientific research teams at universities in the province of Jiangsu, China. As this is a philosophical paper, to explain the conclusions, this analysis focuses on the empirical and theoretical articulations. Therefore, to achieve the research purpose, current research uses descriptive design as the most suitable study design. The findings indicate that the process variables have continuously attracted the attention of researchers to influence team performance; the relationship between team confidence and team performance has only begun to be explored. Team trust helps team members master team activities, minimise errors and delays, and enhance strategies to accomplish team goals, and develop creative problem-solving skills to better understand key task domains. Even, as successes in scientific research are placed into practical development. It hopes to bring tremendous economic benefits to businesses and the country.&#x0D; &#x0D; JEL: I20; I25&#x0D; &#x0D; &lt;p&gt; &lt;/p&gt;&lt;p&gt;&lt;strong&gt; Article visualizations:&lt;/strong&gt;&lt;/p&gt;&lt;p&gt;&lt;img src="/-counters-/edu_01/0750/a.php" alt="Hit counter" /&gt;&lt;/p&gt;
Challenges and benefits of integrating online learning in higher education in a pandemicof COVID-19

Objective — to assess peculiarities of distant learning integration in higher educational institutions in the context of the COVID-19 pandemic.Materials and methods. More than 50 literature sources were included to the study. 20 of them were chosen for detailed investigation. Data of use of online educational methods in departments of phthisiology and pulmonology of Kharkiv National Medical University and Bukovinian State Medical University were used.Results and discussion. To provide the asynchronous part of distance learning, the Department of Phthisiology and Pulmonology of Kharkiv National Medical University created distance courses on the Moodle platform. The courses were built in accordance with the topic plans of the department. Study materials on the topic were presented in various formats: files, web pages, videos, links to Internet resources, etc., test tasks were developed for each topic. In addition, lecture presentations with text accompaniment were added to online resources.At the Department of Phthisiology and Pulmonology of Bukovinian State Medical University (BSMU), training sessions have been started online in accordance with the orders of the BSMU: «On the introduction of quarantine at the University» No. 129-Adm. of 03/12/2020 and «On the approval of instructions for teachers for conducting training sessions online using the videoconferencing service» No. 130-Adm. from 12.03.2020. Final modular controls and state exams were provided in online distance learning. Chernivtsi region was in the red zone of quarantine measures until September 21. Thus, the educational process at the BSMU was carried out exclusively in a distance form using the videoconference service. The Google Hangouts Meet service — https://meet.google.com — was selected for online training sessions. To schedule online training sessions using the Google Hangouts Meet video conferencing service, the Google Calendar service — https://calendar.google.com — was used.Conclusions. Despite a number of problems in the implementation of online learning technologies, such as insufficient technical provision, imperfect knowledge of the methodology of modern digital skills by participants in the educational process, the need for a quick change in approaches to continuous teaching in the context of the COVID-19 pandemic has become a powerful impetus in the development and implementation of information-communication technologies in education, which in the future may have positive consequences for improving the quality of education, increasing student motivation and their satisfaction with the educational process.
PERSONAL READINESS FOR SELF-DEVELOPMENT IN THE CONDITIONS OF EDUCATIONAL DIGITALIZATION AND THE SPREAD OF COVID-19

PERSONAL READINESS FOR SELF-DEVELOPMENT IN THE CONDITIONS OF EDUCATIONAL DIGITALIZATION AND THE SPREAD OF COVID-19
Performance Comparison Between Development Approaches in React: Hooks, Functional and Classes

Nowadays, due to constant innovations in technology, there are many available libraries to help developers in the process of designing and code visual and functional websites. Among all of them, React is currently one of the most popular in the developer community. When developers work with React, there are three common approaches used in the community. The purpose of this project is to provide a comparison between those approaches and an insight of how they perform in a real world situation. For this task, chrome developer tools was used for debugging. The three different approaches (Classes, functional and Hooks components) were tested using 4 different projects. Each project had 3 different versions. One solely relies on state management, the second one on an API response and the third one an API call and the use of Redux. After performing all tests, Hooks was the clear winner overall but still there are developers which use the other two approaches, classes approach performed better than functional but it can lead to misuse of class lifecycle which can result in a performance downgrade, that is why if possible, the use of functional when the manage of state is not required is still recommended instead of class based components for that work. React is being updated regularly and further improvement may be expected. Further studies may be needed to cover new incoming features, optimizations and improvements.
Hubungan Efisiensi dan Efektifitas dengan Kepuasan Pengguna Sistem Pendukung Keputusan Pemberian Penghargaan Bagi Karyawan Pada Pabrik Plastik "Sukses Mandiri" di Sokaraja Wetan

Decision Support System for Awarding Employees with the TOPSIS (Technique For Order Preference By Similarity To Ideal Solution) method is applied by the company so that it can assist the leadership in determining which employees are eligible to receive awards based on criteria determined by the company's management, namely: absent, discipline, overtime, years of service and achievements.This study aims to look at the relationship between effectiveness and efficiency on user satisfaction Decision Support System Awarding Award for employees at the Successful Plastic Factory in Sokaraja Wetan, Banyumas.From the tests conducted, it can be concluded that the sig value is obtained. of the Effectiveness of Satisfaction of 0.001 0.05, this shows that there is no correlation between efficiency and user satisfaction of this decision support system.