Reviewerly/exHarmony huggingface dataset:
Engaging Communities and Extending the Lives of Water Systems with Technology

It takes more than just good intentions and money to provide a community with a reliable source of clean water. Most water systems installed in Africa will fail within the first few years because of insufficient technical planning, lack of community investment and improper maintenance. We have developed a customizable and easy-to-use app to help train and assist community members to perform regular maintenance and diagnosis issues with their water systems. Additionally, the app is equipped with tools for tracking and reporting usage measurement and system evaluation. This information will provide our technical team with data about the frequency and commonality of issues which can teach us how to mitigate such issues in the future.
Research Incentivization based on Smart Contract Platform

The boom of public blockchains and smart contract platforms opened new approaches to solve existing issues. These new approaches addressed successfully some weaknesses of previous processes and created some new classes of problems that need solutions. In this paper we explore distributed system based on smart contract platform with a low-entry barrier designed for direct incentivization of results of scientific research. The proposed system relies on transparent interactions between organizations and individual scientist defining hard computational problems with others that are willing to invest time and efforts searching for computational solutions.
An Efficient Flow Label Collector Design for High-Speed Networks

Flow label collection plays an important role in high-speed network traffic measurement. However, most existing measurement studies assume the flow labels are known a priori. Only a few methods are proposed to collect flow labels from network packet streams, which still have limitations like expensive communication cost and high missing rates. This letter addresses the limitations of the prior art by proposing an efficient flow label collector. It bounds the duplications of large flows and discards the small flows that do not matter, achieving lower missing rates at low communication cost. The experimental results based on real network traces show that, compared to the state-of-the-art methods, it can reduce about 90% flow label missing rate for medium flows or save more than 75% communication cost.
Pop‐net: A self‐growth network for popping out the salient object in videos

It is a big challenge for unsupervised video segmentation without any object annotation or prior knowledge. In this article, we formulate a completely unsupervised video object segmentation network which can pop out the most salient object in an input video by self-growth, called Pop-Net. Specifically, in this article, a novel self-growth strategy which helps a base segmentation network to gradually grow to stick out the salient object as the video goes on, is introduced. To solve the sample generation problem for the unsupervised method, the sample generation module which fuses the appearance and motion saliency is proposed. Furthermore, the proposed sample optimization module improves the samples by using contour constrains for each self-growth step. Experimental results on several datasets (DAVIS, DAVSOD, VideoSD, Segtrack-v2) show the effectiveness of the proposed method. In particular, the state-of-the-art methods on completely unfamiliar datasets (no fine-tuned datasets) are performed.
Study on Phrase-Window-based Annotation Rules and an Identification Algorithm

Word segmentation is heavily used during grammatical dependency analysis in Natural Language Processing. Most of the analysis uses the end-to-end deep learning method based on supervised learning. There are two main issues in this method: firstly, complicated annotation rules result in considerable annotation difficulties and a large workload; secondly, the algorithm cannot identify the multi-granular and diverse features of language. To solve these two issues, we propose phrase-window-based annotation rules and design the Syntax Window Model. Considering phrases as the minimum units, the annotation rules classify sentences into seven categories of nestable phrases and mark the syntactic dependencies between the phrases at the same time. Syntax Window Model, which draws ideas from the Target Detection in Computer Vision, can identify the starting and ending positions of various phrases in sentences, and simultaneously recognize nested phrases and syntactic dependencies. The results show that the annotation rules can be used easily without ambiguity. Compared with the end-to-end algorithm, the algorithm is more suitable for the multi-granularity and diversity in grammar. Experiments on Chinese Phrase Window Dataset (CPWD) using our algorithm improved accuracy by about one percent when compared with the end-to-end method. The model was applied to a CCL2018 competition, and won first place in the analysis of Chinese emotion metaphors.
A Brief Review on Instance Selection Based on Condensed Nearest Neighbors for Data Classification Tasks

The condensed nearest neighbor (CNN) classifier is one of the techniques used and known to perform recognition tasks. It has also proven to be one of the most interesting algorithms in the field of data mining despite its simplicity. However, CNN suffers from several drawbacks, such as high storage requirements and low noise tolerance. One of the characteristics of CNN is that it focuses on the selection of prototypes, which consists of reducing the set of training data. One of the goals of CNN seeks to achieve the reduction of information in such a way that the reduced information can represent large amounts of data to exercise decision-making on them. This paper mentions some of the most recent contributions to CNN-based unsupervised algorithms in a review that builds on the mathematical principles of condensed methods.
The nominal/FM Yoneda Lemma

Abstract This paper explores versions of the Yoneda Lemma in settings founded upon FM sets. In particular, we explore the lemma for three base categories: the category of nominal sets and equivariant functions; the category of nominal sets and all finitely supported functions, introduced in this paper; and the category of FM sets and finitely supported functions. We make this exploration in ordinary, enriched and internal settings. We also show that the finite support of Yoneda natural transformations is a theorem for free .
Ecological Civilizationalism: Greater Educational Cooperation and Sustainable Development under the bri

Abstract Ecological Civilization (EC) represents a constituted effort on the part of China to utilize its developing regional linkages to promote a form of globalization that places the bioeconomy as a foundational core of sustainable global development. This article first outlines how China, through a unique form of state-centric globalization-through-regionalism, has continued to develop cooperative networks based on global trade, infrastructure, and educational exchanges. Second, signaling a fundamental shift within the higher education (HE) landscape, we outline that the Belt and Road Initiative (BRI), and its ever-increasing number of open and inclusive university partnerships, represents a rich avenue for people-to-people exchange within a third-space for scientific collaboration. Third, within both a shifting HE landscape (and the scholarly push to engage with a new postdigital scientific/philosophical paradigm) China’s pursuit of EC constitutes a form of biodigitalism which conceptualizes the bioeconomy as a pursuit of technological advancement that preserves and strengthens humanity’s intimate relationship with the natural world. Finally, we argue that building a BRI-ESD community undergirded by the biodigital ecopedagogy of EC will provide both the curriculum and educational space to more fully enact UNESCO’s ESD 2030 framework.
Quantum codes from skew constacyclic codes over F<sub>p</sub> <sup>m</sup> + vF<sub>p</sub> <sup>m</sup> + v<sup>2</sup>F<sub>p</sub> <sup>m</sup>

For an odd prime p and m ≥ 1, let R = F <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">p</sub> m[v]/{v <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">3</sup> } = v}. Here our aim is to construct new non-binary quantum codes from skew constacyclic codes over this non-chain ring ℛ. In order to achieve our goal, first we study the structural properties of skew constacyclic codes and their Euclidean duals over the ring ℛ. Then we determine a necessary and sufficient condition for these codes to contain their Euclidean duals. Finally, by applying CSS construction on these dual containing skew constacyclic codes and using Gray map, we obtain several new quantum codes.
A Study on Character Input Method for Smartphones Using Back Tap and Tilt Operation

This paper examined character input using tilting motion and back tap for a smartphone.
Application of Interval Type-1 Fuzzy Inference System to analyze the quality of memorization Qur’an

Abstract In this modern world, the use of artificial intelligence needed. One of the intelligence methods raised in this study is to use the Interval Type-1-Fuzzy Inference System (IT-1-FIS) . In Muslim schools (Madrasah Ibtidaiyah) where there is subject matter memorizing the Qur’an. The fluency determines the quality of memorization of the Qur’an in pronouncing letters (Input-1), Tajweed Rules (Input-2) , and reading fluency (Input-3). These three points become input for forecasting Memorization Quality Of The Qur’an. IT-1-FIS requires primary inputs and rules to obtain the output of forecasting Memorization Quality Of The Qur’an. By using IT-1-FIS , it can predict that students will get the quality of memorization based on the trace value obtained on each point. So from the beginning the teacher will know the quality of a student’s memorization in the future. The estimated condition in memorization of the Qur’an can be known faster, and the teacher will be able to increase the points that are less to get the desired quality of memorization of the Qur’an by the habits practiced by students. These students’ patterns are the basic rules of input in the IT-1-FIS process.
Study of Foreign Experience of Learners’ Vocational Self-Determination As an Innovative Potential of Advanced Professional Training

The study of Russian as well as foreign experience concerning the effective practices for performing learners’ vocational training and self-determination allows the educators to extrapolate the most adequate ideas, principles, technologies, approaches to the development and implementation of career guidance and vocational training programs intended for specialists. The acquired knowledge can be further used for analysis, comprehension and application of the best practices in the system of advanced vocational training.&#x0D; The article considers the features of the dual secondary vocational training system of Germany and focuses on the career guidance experience in schools and colleges in the UK. It also presents approaches that are not widespread and less known in Russia than in other countries to apply them to the dual higher education system.&#x0D; Some elements of effective foreign practices of vocational training, self-determination and career guidance can be used in advanced vocational training centers as well as in institutions involved in general secondary, secondary vocational and additional education.
Loupe: A Visualization Tool for High-Level Execution Plans in SystemDS

The declarative programming language in SystemDS simplifies users to implement machine learning algorithms. It is able to generate execution jobs on different data processing engines including MapReduce and Spark. The GUI in data processing engines typical visualizes the low-level execution process (e.g., RDD transformation in Spark). However, the low-level description in Spark GUI does not show the relationship between DML operations and RDD primitives. In this work, we propose Loupe, a tool to visualize high-level execution plans in SystemDS to ease users to understand the execution process. This paper introduces the design of the tool and demonstrates a visualization case.
Multi Dimensional Evaluation of Middle School Students’ Physical and Mental Quality and Intelligent Recommendation of Exercise Programs Based on Big Data Analysis

Taking into account that the traditional physical and mental quality education in schools is difficult to meet the comprehensive analysis and evaluation of the physical and psychological quality of middle school students, improve the enthusiasm of students to exercise physical and mental quality, let teachers and parents understand the physical and mental quality of students in real time, and provide students with physical and mental quality exercises and physical examinations. Personalized guidance for the new needs of middle school students’ physical and mental quality education. We use big data analysis technology to focus on the evaluation method of middle school students’ physical and mental quality and personalized exercise program recommendation method, and proposes a collaborative filtering recommendation framework based on graph neural network GNNCF (graph neural network based collaborative filtering), using Embedding technology and graph convolutional neural network to mine the attributes and interactive relationship features in the data, and then through the fusion of feature vector expressions to achieve personalized exercise program recommendations. The design and implementation of a mobile terminal-based monitoring and evaluation system for the physical and mental qualities of middle school students based on mobile terminals, “Qing Yue Circle”, which can provide services for students, teachers and parents respectively, has verified that it can meet the above requirements through a fixed-point test of Qing Yue Circle in colleges and universities New demand for physical and mental quality education for middle school students.
Improve ability and skills of beginning reading without spelling by using andriod-based macromedia flash media application

Abstract The main need for the early childhood learning process is reading skills. Observation of case study results in SD. Klopo Sawit, Build Kerto Sleman. Learning methods and the use of learning media are not quite right so that students still have difficulty reading and are lazy to learn. The purpose of this study is to help students become skilled in reading. The research method uses class action and uses Android-based applications without spelling. This application combines play and learning activities with research subjects in grades 1 and 2 with correspondence of 48 students. The Likert scale questionnaire test before use was tested on 15 students randomly, with the results of the validity of 22 items&gt; the value of rtabel 0.514 with α = 5% and the reliability was obtained 0.856&gt; r tabl e (0.514) so that it can be said to conclude that the variable is valid and reliable. The results of the t-test before and after using an android-based application with the variables of letter memorization, visual learning styles, reading skills, and reading comprehension obtained a significance value (2-tailed) of 0.000 (p &lt;0.05). Students read faster and more skilled at reading without spelling using an android-based reading application.
Formation of the Vocational-Oriented Environment of the School: from the Experience of the Work of the School of Moscow Region

Global changes taking place in all spheres of life have influenced the education sector. The school must prepare a graduate who can successfully socialize and be in demand and competitive. That is why the problem of professional self-determination and choice of a future profession by students is especially acute.&#x0D; According to the authors of the article, one of the most important conditions for the successful professional self-determination of students is the vocational guidance environment of the school. The authors give a definition of the concept of "vocational guidance environment". They describe the stages of its formation, and also present the experience of creating a career guidance environment in one of the schools in the Moscow region.&#x0D; The material of the authors can be useful for creating a career guidance environment, early career guidance and pre-professional training of students in educational organizations, which will ensure the emergence of a "new type" graduate - a young person who has the ability to consciously choose a professional path in unity with professional mobility.
Information technology elaboration on natural science education in high schools in Indonesia during the 2020 coronavirus pandemic

Views Icon Views Article contents Figures & tables Video Audio Supplementary Data Peer Review Share Icon Share Twitter Facebook Reddit LinkedIn Tools Icon Tools Reprints and Permissions Cite Icon Cite Search Site Citation K. Y. S. Putri, Zulhamri Abdullah, Elisabeth Nugrahaeni Prananingrum, Rahmat Darmawan, Tasya Indah Firdausi; Information technology elaboration on natural science education in high schools in Indonesia during the 2020 coronavirus pandemic. AIP Conf. Proc. 2 April 2021; 2331 (1): 060006. https://doi.org/10.1063/5.0041712 Download citation file: Ris (Zotero) Reference Manager EasyBib Bookends Mendeley Papers EndNote RefWorks BibTex toolbar search Search Dropdown Menu toolbar search search input Search input auto suggest filter your search All ContentAIP Publishing PortfolioAIP Conference Proceedings Search Advanced Search |Citation Search
The Predictive Intelligence TechStack (PITechStack)

In the long term, data-driven corporate management is dependent on a corresponding Predictive Intelligence TechStack (PITechStack), because only with a well-thought through and integrated IT infrastructure can a multidimensional, interactive PI system work with big data and artificial intelligence with high performance. In this chapter, the current status but also trends with regard to the PITechStack are therefore critically analyzed and discussed in order to give the reader an overview but also an assistance, which things must be considered, and which products and solutions are relevant for a successful PITechStack.
Project Management Education to Develop a Life-long Ability to Produce Results in Work

When students go out into society, they are required to produce results in their work. It is said that the ability to clearly set goals and to create and execute the necessary setups to achieve those goals is a key factor of the project success to produce results. Furthermore, acquiring such thinking and behavioral habits is an effective ability throughout life, which is thought as the purpose of the project management education. Project-based learning classes are considered to foster such ability from project experience. In this paper, aiming to develop such abilities, the structure of the project-based learning classes is associated with the success factors of the project, and the key components of project management education for producing results in the project were extracted. This paper depicted the education implemented for faculty and staff and verified its effectiveness by evaluating the degree of empathy for the purpose of the project management education mentioned above.
Font Generation Method based on U-net

The main task of the font design is to design a suitable font according to the actual application scenario, which has extremely wide commercial application value. Generally the traditional font design requires professionals to design, with longer design time, lower work efficiency, and higher labor costs. Font design is essentially a problem of image synthesis. U-net is a deep learning network structure, which has been widely used in image synthesis, but the images synthesized by U-net have the disadvantages of low image quality and poor visual effects. In order to improve the shortcomings of U-net image synthesis effectively, this paper provides an improved U-net method for better font design. The new method is called Swish-gated residual dilated U-net (Swish-gated residual dilated U-net, SGRDU). In SGRDU, the proposed swish layer and swish-gated residual block can effectively control the information transmitted by each horizontal and vertical layer in U-net, and accelerate the network convergence. Dilated convolution is used to improve the perception of the network. Experimental results show that, compared with other residual U-net, the font synthesized by SGRDU has better visual effect and quality.
고등학교 『언어와 매체』 내 사잇소리 현상 기술과 문제점

This paper examines description methods and their problems with regard to the Sait-sori phenomenon in Language and Media, Korean high school grammar textbooks. There are three types of books that consider the Sait-sori phenomenon as an epenthesis that is one of Korean phonological fluctuations. In this view, however, a fortition has to be involved in epenthesis, which causes some difficulties in the phonological fluctuation description system. In this situation, we also have to revise the existing argument: fortition and N-insertion exist in the Sait-sori phenomenon because we cannot even define what Sait-sori is.Through this study, we can conclude that it is impossible for the Sait-sori phenomenon to be seen as a general phonological fluctuation, as it is too difficult to delineate its linguistic concepts, from phonological to grammatical, or its definition. In addition, we can also encounter some troubles when we try to set its conditions. Thus, separating this phenomenon from other phonological fluctuations is now better than any other options.
Data visualization for distribution of people with disabilities

Abstract Data visualizations make data easier for the human brain to understand, and visualization also makes it easier to detect patterns, trends, and styles in groups of data. With the development of the data visualization, more and more data which contains the information of disabled population has been collected. However, researchers have pointed out some problems with visualizing data especially using traditional methods. Therefore, this study aimed to develop a web-based system for data visualization of disabled people distribution in Kuala Selangor, Selangor, Malaysia. Prototyping methodology was chosen in order to develop the web-based system. The results show two main interfaces of the web system which are the admin module and user module. Users may see a specific area, type of disabled people categories and the number of disabled people in the located area from the Google Map. This web system is hope to help public in identifying disabled people location using data visualization technique. In addition, in future it could help the authorize institutions/bodies in doing better planning for disabled people education, facilities and other needs based on its location distribution.
The stimulation of service activity of the Russian national guard expert officers, serving in the construction department: pedagogical analysis of the phenomenon

The results of the analysis of the problem of stimulating the service and labor activity of oﬃcers-experts of the construction complex of the Russian Guard are presented. Motivation and its functions in personnel management, the role of incentives in the management system are considered. The main sources of stimulating the service and labor activity of expert oﬃcers are revealed. The most important directions of improving the activities of the oﬃcers-experts of the construction complex of the Russian Guard, recommended for building a more eﬀective and rational system of stimulating their activities, are reflected.