Reviewerly/exHarmony huggingface dataset:
A study on How to Reflect the Evaluation of College Admissions in the Cooperative Curriculum from the Perspective of the Admission Officer

Objectives The purposes of this study were to analyze the status and operating system of the cooperative curriculum from the perspective of the university admissions officer, and derive a plan to reflect the cooperative curriculum when evaluating the college admission process.&#x0D; Methods To this end, expert interviews were conducted in writing and by phone with 15 senior admissions officers with extensive experience in college entrance and high understanding of student evaluation. Also, research member checking and peer debriefing of two admissions officers with a doctorate were conducted in order to secure the validity and reliability of the data.&#x0D; Results As a result of the study, admissions officers generally positively evaluated the cooperative curriculum in terms of guaranteeing students choice of various subjects, but pointed out that the substantial operation of the cooperative curriculum should precede. They presented both positive and negative opinions on the online cooperative curriculum. For the items and contents listed in the student record of the cooperative curriculum, detailed competency and specialty items were most preferred to enable course-based evaluation. The appropriate screening for evaluating the cooperative curriculum was mainly selected as a comprehensive student record that can evaluate career-related content, and among the evaluation competencies, the relevance of the course and application department, efforts and achievements can be confirmed.&#x0D; Conclusions Based on the results of the study, the researcher suggested evaluating whether or not to complete the cooperative curriculum, familiarizing admission officers with various contents related to the cooperative curriculum, opening subjects reflecting the actual needs of students and administrative and financial support from the Office of Education for it, and providing data on the operation of the cooperative curriculum to universities.
A new Educational Open-source eBook for Modeling River Hydro-morphodynamics

&amp;lt;p&amp;gt;The analysis of hydro-morphodynamic processes in river ecosystems involves modeling complex natural processes based on continuously growing data sets. Typical tools involved in such analyses embrace numerical models, GIS software, and high-level programming languages. Teaching the application of these tools is part of many environmental and geoscience-oriented study courses though the tool development partly roots in other disciplines, such as civil or software engineering. Thus, the holistic understanding of tools for hydro-morphological modeling and assessment of river ecosystems is an interdisciplinary challenge that is often solved in practice through multi-institutional collaboration. Yet, even public academic institutions tend to teach the usage of proprietary software that is embedded in a chain of even more, often expensive, proprietary software applications. In addition, the teaching of software refers to a presently up-to-date version, and its application can quickly become outdated.&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;To address the challenge of teaching interdisciplinary tools for modeling and analyzing river ecosystems, we have created an &amp;lt;span&amp;gt;online eBook (available at&amp;amp;#160;&amp;lt;/span&amp;gt;&amp;lt;span&amp;gt;https://hydro-informatics.com&amp;lt;/span&amp;gt;&amp;lt;span&amp;gt;) that exclusively explains the use of open-&amp;lt;/span&amp;gt;source and open-access software. The eBook goes beyond our institutional teaching, and we do our best to keep the descriptions of software applications up-to-date. In addition, we offer more than IT assistance through detailed explanations of physical processes and mathematical equations involved in river ecosystem modeling. For instance, we explain geomorphological principles and the development of equations for calculating fluvial sediment transport. In cross-disciplinary application examples, we also feature ecohydraulic principles of river landscape analysis, for example, to calculate habitat suitability based on two-dimensional numerical model outputs. To this end, we explain and demonstrate the installation and use of the high-level programming language Python, the numerical modeling software BASEMENT and TELEMAC, the usage of git and Markdown, and the geospatial software QGIS on common operating systems (including and with preference: Linux). Ultimately, we also offer sample data sets, self-learning checks, exercises, and troubleshooting solutions to keep the barrier to free teaching as low as possible.&amp;lt;/p&amp;gt;
Analisa Validitas Penentuan Predikat Kelulusan Berdasarkan Data Individu Mahasiswa di Institut Teknologi Dirgantara Adisutjipto (ITDA)

The world of education will never be separated from student data and graduation data. Student data is usually obtained at the time of registration of new students to an institution. Various individual data and parental data will be stored in the student's individual data archive. It is unfortunate if the data is not used and only as an archive. In this study, students will utilize individual data in the form of parental income data and data on student visits to the library. Which individual data will be associated with the student's cumulative achievement index to determine the validity of the student's graduation predicate. One method that can be used is the K-Nearest Neighbor method. The K-Nearest Neighbor method is a method for classifying objects based on the training data that is closest to the object. This study aims to analyze the validity of the student graduation predicate based on individual data such as parental income data and student library visit data using the K-Nearest Neighbor method. The case study was conducted by taking data from the Adisutjipto Aerospace Technology Institute.
Glass technology enabling a landscape of waveguide architectures for Augmented Reality

End users’ expectation to smartglasses is benchmarked by today’s close-to-perfect displays in smartphones and the fashionable wearability of smartwatches. Users expect a deceptively genuine mixed realty experience and uncompromised all-day wearability. Waveguide-based combiner optics are the technology of choice to get there. Different technologies, based on diffractive, reflective and holographic structures, are competing to most efficiently inject, distribute and extract the waveguided information. Driven by the commitment to define the industry’s reference of waveguide materials and components, SCHOTT develops and commercializes dedicated RealView® products to support developers and manufacturers of AR optics. Progress on benchmark performance in ever higher refractive index and lightweight materials is discussed in the context of the industry’s needs for wider Field-of-View, lower weight and high-volume manufacturability. Still, SCHOTT’s contribution to AR does not end here: your will learn more about optical wafer for sensors and meta optics, as well as on hermetic packages for semiconductor light sources
Study the Algorithm of Paths Calculation Parallelization in the Problem of Group Control of Robots

The work is about the development and study of the implementation of a multithreaded flow manager in computing systems for the transport problem of controlling a heterogeneous group of robots. The aim of the work is to investigate the parameters of the thread manager to find a suboptimal configuration for solving the task of managing computation resources and formulating practical recommendations for configuration the developed software as well. In the work, a series of experiments were carried out on the thread manager, experimental dependences of the computing system performance on the manager's configuration parameters were established. In the course of the experiments was established that it is possible to find the suboptimal configuration of the thread manager based on parameters, such as the number of logical threads, the size of the batch of subtasks for computation, the number of the subtasks. The results will be used during the creation of a subsystem for managing computational threads of the general problem and can be used in other applied problems together with portable software in the software of the routes computation threads manager.
Design of a tool for checking academic integrity and content consistency of paper abstracts

To save costs of manual reviewing, a tool was designed for automatically checking academic integrity and content consistency of abstracts through analyzing the academic problems of abstracts from multi-dimensional testing indicators. First of all, the recognition of abstract knowledge elements can be achieved with the help of the Naive Bayes algorithm and the posterior probability correction method. On this basis, the consistency between the abstract and the text can be checked in combination with semantic matching and knowledge element matching. As can be seen from the experimental results, the F value of the model can reach 0.85 in the academic integrity checking of abstracts. At the same time, the checking granularity is refined to effectively distinguish the abstracts of varying quality.
Construction and Application of Primary School Teacher Training System Based on Software View Technology

Core literacy is a composite ability, the necessary character and key competencies that can adapt to the needs of lifelong development and social development. This paper analyses the core literacy components of “general practice-applied” primary school teachers with the guidance of core literacy theory, lifelong learning theory and software engineering thought; constructs a technical framework of primary school teachers training system of “general practice-applied” based on Struts2, which consists of logical components, view components, and controller components; designs a functional framework for a “general practice-applied” primary school teachers training system consisting of “Talent training subsystem, Educational administration subsystem, Teacher application subsystem, Student application subsystem”; proposes reform measures of the teaching model for “general practice-applied” primary school teachers training to help train “general practice-applied” primary school teachers.
THE INTRODUCTION OF INNOVATIVE AND ACTIVE-BASED TEACHING METHODS INTO THE COMPLEX PROCESS OF ACQUIRING PROFESSIONAL COMPETENCIES BY STUDENTS OF TECHNICAL SPECIALTIES

Information about the paper titled "THE INTRODUCTION OF INNOVATIVE AND ACTIVE-BASED TEACHING METHODS INTO THE COMPLEX PROCESS OF ACQUIRING PROFESSIONAL COMPETENCIES BY STUDENTS OF TECHNICAL SPECIALTIES" at IATED Digital Library
Network-Based Method for Dynamic Burden-Sharing in the Internet of Things (IoT)

The burden-sharing issue has become one of the most frequent challenges in the field of parallel computing under the Internet of Things (IoT). Distributing loads to processors is not an easy task to perform. In the IoT literature, many approaches have been suggested to come up with optimal burden-sharing. However, there still exists a limitation in providing simple, low-cost, and efficient approaches. Therefore, this paper proposes a network-based method for burden-sharing in IoT CPUs. The main idea behind the proposed method is to utilize concepts from network science in developing a method for efficiently distributing loads to the IoT CPUs. These processors belong to the IoT-connected devices, which can be located in local or remote networks. To this end, a weighted graph is generated whose nodes are the CPUs of the IoT devices and the edges formed if these devices are accessible to each other. The cost of accessing a node from another is assigned to the weight of the edge between the two nodes. The findings showed that the proposed method outperformed the benchmarking approaches in terms of missed deadline tasks. Moreover, the proposed method is easy to implement and does not need complex computations, which is of interest to the IoT developers.
Intake

OpflowVolume 48, Issue 2 p. 2-2 Departments Intake First published: 08 March 2022 https://doi.org/10.1002/opfl.1642Read 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. Volume48, Issue2March 2022Pages 2-2 RelatedInformation
A Bayesian probabilistic approach to estimate the focal mechanism of micro-earthquakes occurring at the Irpinia fault system, southern Italy.

&amp;lt;p&amp;gt;We developed a Bayesian technique to infer the double-couple, focal mechanism parameters (strike, dip and slip angles) of an earthquake source. The method uses 3 independent datasets: P-wave peak amplitude and polarity and S-to-P amplitude ratio wherever it is available.&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;The Bayesian technique works even in absence of one dataset and easily integrates any prior information about the region of study. The parameter space is explored thanks to an &amp;lt;em&amp;gt;octree&amp;lt;/em&amp;gt; strategy. The method estimates the Posterior pdf, where the maximum likelihood parameter values (MAP model) both for the principal and auxiliary plane are chosen as the final fault mechanism solution. Furtherly, the uncertainties as the projections of the semi-axis of the 68% confidence ellipsoid centred on the MAP model are provided.&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;The joint use of the three datasets allows to determine a solution even in the case of a limited number of stations that have recorded the event, which is the case for example for small magnitude earthquakes (M&amp;lt;3).&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;We applied and tested the methodology to a microearthquake sequence (M&amp;lt;sub&amp;gt;L&amp;lt;/sub&amp;gt; 0.4-3.0) occurred in the Irpinia region, South Italy, using an uninformative prior distribution for the parameters. In this area, the background seismicity occurs in a volume delimited by the faults activated during the 1980 Irpinia M 6.9 earthquake. This faults system is complex and composed of northwest&amp;amp;#8211;southeast striking normal faults along the Apennines chain. A network of 3-component accelerometers and velocimeters is currently monitoring the area (Irpinia Seismic NETwork).&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;We inferred the focal mechanism of the earthquakes of the sequence. Our results show fault mechanism solutions which are consistent with previous studies, well reflecting the regional stress field. The focus on micro-seismicity can reveal characteristics useful to highlight behaviours of larger scale seismicity.&amp;lt;/p&amp;gt;
Decomposing Low-Rank and Sparse Matrices

Connecting theory with practice, this systematic and rigorous introduction covers the fundamental principles, algorithms and applications of key mathematical models for high-dimensional data analysis. Comprehensive in its approach, it provides unified coverage of many different low-dimensional models and analytical techniques, including sparse and low-rank models, and both convex and non-convex formulations. Readers will learn how to develop efficient and scalable algorithms for solving real-world problems, supported by numerous examples and exercises throughout, and how to use the computational tools learnt in several application contexts. Applications presented include scientific imaging, communication, face recognition, 3D vision, and deep networks for classification. With code available online, this is an ideal textbook for senior and graduate students in computer science, data science, and electrical engineering, as well as for those taking courses on sparsity, low-dimensional structures, and high-dimensional data. Foreword by Emmanuel Candès.
Administrative and Judicial Practice of Dealing With Disputes Arising from the Right to Repair Restored Parts (Analytical Review)

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The Joints Problem and Degree Reduction

Before their seminal distinct distances paper, Guth and Katz wrote another paper that introduced a new polynomial method. In this chapter, we study one of the two problems that were resolved in that paper: the joints problem. The solution to this problem relies on a simple polynomial technique, which is based on polynomial interpolation. This is also a good warm-up for working in spaces of dimension larger than two.
Science learning development for the deaf: A digital literacy based learning design

Digital literacy-based learning is needed for deaf students in understanding style and motion material. Application assisted learning in the form of e-books is specially designed for the deaf with an attractive design, which is accompanied by visual animations of the application of style and motion in everyday life. Thus, the understanding of the material obtained is not only through text.But animations of every kind of style and examples. The pupose of this research is to develop and determine the feasibility of digital literacy based learning designs for deaf teenagers. The development method used in this research is the Dick, Carey and Carey development model with nine stages. The results of this research a digital literacy based learning design for style and motion materials for deaf adolescents referring to the 2013 curriculum. 80% percentage, material expert validation shows 83,5% percentage, and 82.25% special education expert validation. So, the development of digital literacy-based learning designs for the deaf meets the feasibility needs.
Research Security Training for the United States Research Community (NSF)

Federal Grants & ContractsVolume 46, Issue 8 p. 1-2 Grants alerts Research Security Training for the United States Research Community (NSF) First published: 14 March 2022 https://doi.org/10.1002/fgc.32260Read 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. Volume46, Issue817 March 2022Pages 1-2 RelatedInformation
Detection and Propagation of Metadata Updates within CIS environment

In order to adapt to the demands of the modern hypercompetitive environment many organizations integrate their information sources and form alliances. Cooperative Information System (CIS) provides a flexible form of integration that requires, due to absence of the common integrated schema, heightened attention to the data quality management. Commonly, the associated with the CIS’ data metadata assumed to be static and of a high quality. However, in a modern fast changing competitive environment this assumption must be relaxed, and the issue of metadata quality management should be addressed explicitly. While research concerning data quality in CIS environment is abundant, no work, to our knowledge, has addressed the issues of how changes to metadata could be detected and propagated within the CIS environment. In this paper we attempt to address this research problem by proposing, first, a metadata update management methodology and, second, a conceptual design of the technical solution allowing for the detection and propagation of metadata updates within CIS environment&#x0D;
Locking and unlocking of quantum nonlocality without entanglement in local discrimination of quantum states

The phenomenon of nonlocality without entanglement(NLWE) arises in discriminating multi-party quantum separable states. Recently, it has been found that the post-measurement information about the prepared subensemble can lock or unlock NLWE in minimum-error discrimination of non-orthogonal separable states. Thus, it is natural to ask whether the availability of the post-measurement information can influence on the occurrence of NLWE even in other state-discrimination strategies. Here, we show that the post-measurement information can be used to lock as well as unlock the occurrence of NLWE in terms of optimal unambiguous discrimination. Our results can provide a useful application for hiding or sharing information based on non-orthogonal separable states.
PEDAGOGICAL SUPPORT OF STUDENTS IN INCLUSIVE EDUCATIONAL ENVIRONMENT BASED ON INFORMATION TECHNOLOGIES

O. Kolomiytseva1, O. Artyukhin2, N. Brunchukova3, S. Spevakova4, S. Fedorova2, E. Maklaeva2 1Academy of public administration (RUSSIAN FEDERATION) 2Lobachevsky State University of Nizhny Novgorod (RUSSIAN FEDERATION) 3Smolensk State University (RUSSIAN FEDERATION) 4Armavir State Pedagogical University (RUSSIAN FEDERATION)
Calibrating single-photon detectors for photon counting and quantum correlation measurements

Photonic quantum technologies require single photon sources and detectors operating at high efficiency, but at high rates detector imperfections can lead to inaccurate measurements. We show that the combination of the detector deadtime and the source statistics together determine the saturation level of a single photon detector, with anti-bunched sources leading to a greater detection rate than coherent or thermal light of the same intensity. At high photon rates this behavior distorts second-, third- and fourth- order correlation measurements, in agreement with our numerical simulations. Finally, we discuss the implications for entangled light detection and photonic logic.
NATURAL SEMANTIC INFORMATION-BASED EYE TRACKING USING IMPROVED NEEDLEMAN–WUNSCH AND SUBSMATCH METHODS

This paper proposed an improved natural semantic information-based eye-tracking method combing Needleman–Wunsch and SubsMatch technologies in psychological assessments. The natural semantic information of the self-assessment scale in psychological measurement was combined with the participants’ eye-tracking data, and a time-space similarity method was proposed to calculate the eye-tracking differences between different participants in the questionnaire response and carry out visual pattern recognition to achieve the screening of the target population in psychological measurement. The proposed method was evaluated by screening a sample at high risk of depression. The comparative results showed that the average screening accuracy of the sample under the stimulation of a single topic was 80.13% and increased to 97.37% after a dimensionality reduction. This paper verified the objectivity and effectiveness of the semantic information-based eye-tracking time-space similarity method and proved it to be a promising objective tool to assist psychological measurement.
Pearl on Actual Causation

chapter Share on Pearl on Actual Causation Author: Christopher Hitchcock California Institute of Technology California Institute of TechnologySearch about this author Authors Info & Claims Probabilistic and Causal Inference: The Works of Judea PearlFebruary 2022 Pages 625–646https://doi.org/10.1145/3501714.3501748Online:04 March 2022Publication History 0citation9DownloadsMetricsTotal Citations0Total Downloads9Last 12 Months9Last 6 weeks3 Get Citation AlertsNew Citation Alert added!This alert has been successfully added and will be sent to:You will be notified whenever a record that you have chosen has been cited.To manage your alert preferences, click on the button below.Manage my Alerts New Citation Alert!Please log in to your account Save to BinderSave to BinderCreate a New BinderNameCancelCreateExport CitationPublisher SiteGet Access