Reviewerly/exHarmony huggingface dataset:
Subjective Evaluation of Ultra-high Definition (UHD) Videos

This paper presents a detailed subjective quality assessment for the ultra-high definition (UHD) videos having frame rates of 30fps and 60 fps.The subjective assessment is based on the ITU-R BT-500 recommendations, where double stimulus continuous quality scale (DSCQS-type II) test is performed for the evaluation of the perceived quality of the user's in terms of differential mean opinion score (DMOS).Encoding of the UHD videos by opting encoders i.e.H.264/AVC, H.265/HEVC, and VP9 at five different quantization parameter (QP) levels is done to investigate the perceived user's quality of experience (QoE) given as DMOS.Moreover, the encoding efficiency as the encoding time for each encoder and qualitative performance by employing full-reference (FR) quality metrics are presented in this work.
Imaging of active faults from the temporal and spatial distributions of relocated seismicity induced beneath an EGS site in the Pohang region of southeastern Korea

&amp;lt;p&amp;gt;The 2017 Pohang earthquake (M&amp;lt;sub&amp;gt;L&amp;lt;/sub&amp;gt; 5.4) is the second largest earthquake occurred in an intraplate in modern Korea and is considered the largest induced earthquake from an EGS system around the world.&amp;amp;#160; The mainshock was proceeded by a few foreshocks and followed by a few thousands of aftershocks.&amp;amp;#160; Numerous densely distributed seismic stations in local and regional distances were deployed to monitor this earthquake sequence. &amp;amp;#160;Original hypocenters in the Pohang region were located using HYPODD that is independent on crustal structures.&amp;amp;#160; A comprehensive crustal Vp and Vs model was recently available from an invited committee of foreign experts based on well logs and regional seismic data.&amp;amp;#160; This model is then revised, especially the uppermost few hundred meters, based on results from a study of S to P converted waves from shallow interfaces beneath various stations, from the traditional Wadati plots analysis, and from the interpretation of two short seismic reflection/refraction profiles.&amp;amp;#160; From continuous data, 5 to 10 folds of additional earthquakes than the original manually picked events can be identified and located. P and S arrival times from all earthquakes are re-picked from continuous data and are relocated using the revised model and Hypoellipse program.&amp;amp;#160; Temporal and spatial distribution of relocated seismicity at depths range from 3 to 7 km are more clustered and confined than that from the original catalog.&amp;amp;#160; A few thin vertical cross-sectional views of hypocenters parallel and perpendicular to the seismicity reveal that seismicity propagates along multiple NE-SW trending faults beneath the Pohang basin and extending NE offshore into East Sea.&amp;amp;#160; These fault system is sandwiched between the Yongshan fault and a few other secondary faults to the south.&amp;amp;#160; The main shock (5.4) and the two largest aftershocks (4.3 and 4.6) as well as their associated aftershocks show predominantly NE-SW strike-slip with reverse faulting propagating along three different adjacent faults.&amp;amp;#160; Geometry of active faults and their tectonic implications will be presented and discussed in the meeting.&amp;lt;/p&amp;gt;
Perancangan Sistem Informasi Distribusi Bantuan Pupuk pada Dinas Perkebunan Provinsi Sumatera Utara

Data that has been managed by the distribution staff at the Plantation Office, sometimes reports or data that want to be sought again requires a very long time because the storage model of the report is still using bookkeeping, Besides the problems that occur when the distribution of assistance obtained is less accurate, so the distribution of aid many experience distribution that is not on target. The existence of a computerized application, the writer hopes to help the problem of data processing in the distribution of the assistance, be it the data to be sought, the preparation of reports, and information that can help distribution staff when they want to distribute aid directly to the field . The distribution distribution system at the North Sumatra Plantation Office has certain sections starting from, withdrawing funds from the APBD, the process of deliberation stages of the plan for channeling funds and development, so the production staff begins to survey prospective farmers who will receive assistance
Introduction to the 36th International Conference on Logic Programming Special Issue I

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Library Guides: Virtual Library Orientation: Just for Fun

Welcome new students! Here is an overview of MSU Library - your resource for all of your information needs.
A MODEL FOR OPTIMIZING THE STRUCTURE OF TEACHING TECHNIQUES FOR DISTANCE LEARNING IN THE RUSSIAN HIGHER EDUCATION SYSTEM

Purpose of the study: This study aims to develop a methodical approach to optimize the structure of teaching techniques and approaches to distance education, as exemplified by Russian universities, to enhance students’ professional competencies.Methodology: A pedagogical experiment was conducted with the participation of 746 second- to fourth-year students majoring in engineering at the Ural Federal University in Russia. The coefficients for the relative importance of professional competencies were obtained through expert assessment. The number of experts was 40 faculty members with teaching experience of more than five years.Main findings: The pedagogical experiment revealed the regularities of the influence of the forms of distance learning on the formation of students’ professional competency levels. The values of students’ developmental competency levels have been determined. Non-linear regression models have been developed based on the values of the integral level of professional competencies and the percentage of distance learning forms in the number of instructional hours.Applications of this study: The proposed methodological approach will be useful for university professors and teachers in identifying the most effective forms of distance learning and in differentiating teaching methods not only in the context of the general pandemic but also in the natural conditions of the educational process.Novelty/originality of this study: The originality of this study is in the application of empirical methods to obtain a quantitative assessment of certain distance learning methods use effectiveness and their trend towards the professional competence formation level. This enables us to take into account students' characteristics in the process of distance learning and to correct the academic discipline teaching technologies in time.
Desain Multimedia Untuk Company Profile Rumah Sakit Imelda Pekerja Indonesia Sebagai Media Promosi Efektif

Imelda Hospital for Indonesian workers is a hospital as one of the public service institutions that requires the existence of an accurate and reliable information system, and is sufficient to improve its services to the community and other related environments. To support the information and promotion media that are specifically intended only for Indonesian Workers 'Imelda Hospital, in order to provide more detailed and in-depth information about services and facilities and information contained in the Indonesian Workers' Imelda Hospital, research on multimedia design, to solve the problem of how effective promotional media will be carried out to support the sustainability of Indonesian workers' Imelda hospitals.
Grade Prediction of Educational Institute Using ML Algorithm

&lt;p&gt;A massive amount of data is reproduced across numerous pursuits such as education, medical science, defenses, social media, and so on and so forth. Machine Learning (ML) and Data Mining (DM) are techniques that can be used to identify and improve the hidden patterns automatically through experience seen as a subset of Artificial intelligence. One of the key areas of this application is Educational Data Mining(EDM) which uses ML and statistics to extract large repositories of data associated with learning activities. These learning management systems are majorly used to predict college grades. The proposed model is built to predict the future grade of colleges and universities, established on the current activities they execute. Machine learning algorithms are found to be very practical and effective. It is the most valuable under circumstances where the individual doesn’t have an adequate amount of knowledge. ML algorithm predicts the future based on the input given to it, it investigates and analyzes given input data. They are trained based on it and infer a hypothesis /theory. The proposed model has used the Random Forest regression (RFR) algorithm which will help colleges to priorly know the grades and if these grades are less than what they anticipated they can improve them by enriching the current activities.&lt;/p&gt;
Polarization diversity phase modulator for frequency-bin operations with hyperentangled biphoton frequency combs

Using a polarization diversity phase modulator, we carry out projective measurements in the spectral domain to characterize frequency-bin entanglement in a hyperentangled photon pair without degrading nonclassical correlations in polarization state.
How to Manage Research Data : Handbook for Researchers

This presentation will introduce the new handbook containing best practices on how to manage research data to make them suitable for sharing and reuse. The handbook was written in view of the Croatian research infrastructure and social context in general.The growing need for research collaboration and reproducibility is spurred by an increasingly available infrastructure. The Research Data Alliance (RDA) is a global organization focused on developing social and technical conditions for open data sharing and reuse, and fostering data-based innovation. As part of the RDA Europe 4.0 project, a national RDA node was established at Srce in 2019.In cooperation with the librarians from the University of Rijeka Library, the University of Split Library, the City and University Library Osijek, and the National and University Library in Zagreb, this node prepared a handbook for researchers on how to handle research data for their efficient sharing and reuse. This handbook provides a comprehensive set of guidelines and recommendations based on research data lifecycle. It also takes a look at key topics in research data management. The first chapter introduces us to the concepts of research data, FAIR principles, and benefits of sharing. The second looks into research data lifecycle. The next three chapters explore typical activities from researcher’s perspective. The key activity in the Before research chapter is the development of a data management plan. The During research chapter provides recommendations and best data managing practices, such as file naming conventions, readme file practices, and reliable data storage during research. The last chapter, After research, covers publishing, sharing, and reusing of research data and provides guidance on topics such as intellectual property rights, licences, citations, and sharing and reusing research data. The most important terms from the handbook are explained in the glossary. Every chapter includes helpful tools to facilitate research data management and ensure good data practices. It is a very helpful resource for researchers, students, and librarians.
Analysis and improvement of components of computational models and systems based on the immune paradigm

One of the main components of immune systems is a component that estimates the degree of relationship between the input data of the system (antigens) and detectors that recognize them (antibodies). This component is based on the main four spatial forms: Euclidean, Hemming, Integer, and Symbol. This article proposes to use hybrid neural networks, which are the development of the Hemming neural network, to compare the elements of the artificial immune system (IIS). The inputs of these networks can be fed as components of the same type (binary, integer (the alphabet of which contains more than two symbols), real, symbolic), and various combinations of such components. Figs.: 2. Refs.: 13 titles.Keywords: computational models, antigen, antibody, spatial forms: Euclidean, Hamming, integer and symbolic; artificial immune system (IIS); neural network.
Value Analysis of Central Line Simulation-Based Education

Iglesias, Nicholas J. BS; Williams, Taylor MD; Sommerhalder, Christian MD; Snyder, Clifford MPAS, PA-C; Perez, Alexander MD, FACS Author Information
Bioperation approach to Przemski’s decomposition theorems

Przemski introduced D(α, s)-set, D(α, b)-set, D(p, sp)-set, D(p, b)- set and D(b, sp)-set to obtain several decompositions of continuity. In this paper, we extend these sets via bioperation and obtain new decompositions of continuity.
SOLVING THE STUDENTS’ SPEAKING DIFFICULTIES THROUGH INTERVIEW AND JOKE AT MTS AL-MUSLIMUN NW TEGAL BATULAYAR

This Action Research has been conducted to see how interview and joke are effective in solving the students’ speaking difficulties at MTs AL-Muslimun NW Tegal. This research is aimed at conducting an enjoy strategy to teach speaking. This research have been conducted since March 2015, it is done in four procedures in giving the treatment; planning, action, observing and reflecting. Then, pre-test and post-test are also the applied in collecting the data. Meanwhile, the students consists two classes A and B, each class there are 23 students. B class was chosen as the sample. They are chosen because of a reason: the students do not have motivation to learn English. It is proved with the findings in pre-test, most of them in answering and expressing their ideas got a lot of mistaken and do not know what to do. After the treatment done, the significant change happen. It could be seen from the finding at post-test, most of them in understanding and answering the question they got better. It also proved with their pronunciation, vocabularies, fluent and accuracy getting better and better. It means that the interview and joke is one of the method teaching and learning good to be applied. This analyzing is temporarily dealing with the findings; it will be completed at the final report.
Verifying the Survival of Time-Energy Entanglement Through Tissue

Two-photon microscopy (TPM) with entangled photons may provide significant enhancements over classical TPM. Though previously little explored, here we demonstrate via a unique Franson interferometer, the robust maintenance of entanglement through millimeters of bio-samples.
A Novel Approach for All Optical Representation of Binaries using Linear Photonics Lattices

A novel approach for all optical representation of binaries using new proposed binary hotonics lattices is presented. Significantly, the working principle does not require nonlinear interaction between light and material as conventional methods.
ISU DAN MASALAH PEMBELAJARAN DAN PEMUDAHCARAAN MENGENALI AKSARA CINA DI SEKOLAH RENDAH JENIS KEBANGSAAN CINA KUCHING [ISSUES AND PROBLEMS IN LEARNING AND TEACHING CHINESE CHARACTERS AT CHINESE VERNACULAR PRIMARY SCHOOLS KUCHING]

This report is part of a study on the development of Chinese character recognition modules. This report focus in the issues and problems in the learning and teaching of Chinese characters among Chinese students and teachers in Chinese vernacular primary schools, Kuching. The purposive sampling is conducted in the selection of seven first-level Chinese language teachers. Data collected using a semi-structured interview and analyzed using keyword thematic techniques. Some of the identified issues in relation to student’s learning are: (1) Unable to recognize the form of characters and meaning of Chinese characters effectively, and (2) Unable to write Chinese characters correctly. While the issues generated in relation to teacher’s teaching are: (1) No emphasis in recognizing and acquisition of the Chinese characters during learning and teaching, and (2) Lack of awareness of the teaching approaches according to the characteristics of Chinese characters. The findings indicated that further studies related to the development of Chinese character recognition modules, reviews of Chinese characters learning in textbooks, the use of appropriate and effective methods to aquire Chinese characters are greatly needed to ensure the quality of the learning and teaching Chinese.
Region Of Interest Extraction Based On Co-Saliency Analysis And Feedback Strategy For Remote Sensing Images

Saliency analysis has been revealed an effective method to extract the region of interest (ROI) in remote sensing images. However, most existing saliency detection methods mainly focus on extracting the ROIs from a single image, which usually are not able to generate satisfactory results because of the background interference of remote sensing images. The employment of co-saliency detection which focuses on detecting common salient objects in a set of images can provide an effective solution to this issue. In this paper, we propose a novel ROI extraction model based on co-saliency analysis and feedback strategy for remote sensing images. We combine the bottom-up measures including consistency, central prior and contrast on spectral and texture feature of multiple images together, with subsequent adjusting operation by feedback strategy to enhance the common salient objects. Experiment results reveal that our model outperforms seven state-of-the-art models.
Lyndon Words, the Three Squares Lemma, and Primitive Squares

We revisit the so-called “Three Squares Lemma” by Crochemore and Rytter [Algorithmica 1995] and, using arguments based on Lyndon words, derive a more general variant which considers three overlapping squares which do not necessarily share a common prefix. We also give an improved upper bound of \(n\log _2 n\) on the maximum number of (occurrences of) primitively rooted squares in a string of length n, also using arguments based on Lyndon words. To the best of our knowledge, the only known upper bound was \(n \log _\phi n \approx 1.441n\log _2 n\), where \(\phi \) is the golden ratio, reported by Fraenkel and Simpson [TCS 1999] obtained via the Three Squares Lemma.
Quantum Walk with Coherent Uncertainty in Electron-Laser Interaction

We show that pulsed laser-driven free electrons undergo quantum walk with coherent uncertainty in the electron energy levels, characterized by their spread. We study this quantum walk experimentally and develop its analytic theory.
Application of Customer Relationship Management Method On E-Commerce (Case Study : PT Beesge Andalas Perkasa)

The data processing process related to sales data and the availability of goods currently running still uses conventional recording, namely the absence of a system that can process data automatically to speed up the Customer Relations Management processing process. (CRM) is a method used to simplify the process of communication between consumers and companies in order to create a sense of comfort in consumers towards the company. One proof of the need for a system desired by the owner of PT Beesge Andalas Perkasa is wanting a system that helps promote and introduce his business and also increase sales without even having to cost a lot in the advertising process. The purpose of this study is to help improve the strategy and loyalty of customers and increase the sales power of PT Beesge Andalas Perkasa
Сучасні освітні психотехнології професійної підготовки майбутніх психологів

Society creates demands for changing the quality of training of psychologists who would be able to take new positions in the understanding of human and the transformational processes of the present as a whole. Implementation of the progress towards the restructuring of the educational process, in particular the professional training of professional psychologists, will allow for the creation of new educational psychotechnologies. The methodological basis of professional training of the future psychologists should be the value-personality approach. The formation of a value relation to the future profession provides individuals with the possibility of self-realization in it. The main goal of professional training of future specialists is seen in the focus on comprehension of socio-normative, personal, professional values and the development of self-consciousness in general. Implementation of this goal requires the development and implementation of innovative educational psychotechnologies aimed at the development of sustainable integrative personal and professional competencies. The formation of the integral of the professional value of a future specialist should become one of the priorities of professional training of a psychologist in higher education institutions. The presence of a formed integral of professional value as a dynamic, multifunctional, and relatively stable personal formation will provide an understanding of normative values of the profession, awareness of the value of the personal self as a psychologist, and transforming them into professional competence. Instead, the slowdown in the aim-level personality self-awareness of the above-mentioned transformational processes will indicate axiological and identity uncertainty, a low level of self-interest and self-understanding of the student. The result of the introduction of psychological technologies for professional training should be the integral of the professional value of the future psychologist. This will ensure its professional efficiency and competitiveness in the context of the modern challenges of society.
Design of a neural network aimed at predicting meteotsunamis in Ciutadella harbour (Balearic Islands, Spain)

&amp;lt;p&amp;gt;This work explores the applicability of neural networks (NN) for forecasting atmospherically-driven tsunamis affecting Ciutadella harbor in Menorca (Balearic Islands). These meteotsunamis can lead to wave heights around 1 m, and several episodes in the modern history have reached 2-4 m with catastrophic consequences. A timely and skilled prediction of these phenomena could significantly help to mitigate the damages inflicted to the port facilities and moored vessels. We examine the relevant physical mechanisms that promote meteotsunamis in Ciutadella harbour and choose the input variables of the NN accordingly. Two different NNs are devised and tested: a dry and wet scheme. The difference between schemes resides on the input layer; while the first scheme is exclusively focused on the triggering role of atmospheric gravity waves (governed by temperature and wind profiles across the tropospheric column), the second scheme also incorporates humidity as input information with the purpose of accounting for the occasional influence of moist convection. We train both NNs using resilient backpropagation with weight backtracking method. Their performance is tested by means of classical deterministic verification indexes. We also compare both NN results against the performance of a substantially different prognostic method that relies on a sequence of atmospheric and oceanic numerical simulations. Both NN schemes show a skill comparable to that of computationally expensive approaches based on direct numerical simulation of the physical mechanisms. The expected greater versatility of the wet scheme over the dry scheme cannot be clearly proved owing to the limited size of the training database. The results emphasize the potential of a NN approach and open a clear path to an operational implementation, including probabilistic forecasting strategies.&amp;lt;/p&amp;gt;
Optical Parametric Amplification in 2D Semiconductors

We demonstrate single-pass optical parametric amplification (OPA) in monolayer semiconducting transition-metal dichalcogenides. Our experimental findings of OPA efficiency and polarization dependence are fully supported by first-principle calculations of the nonlinear response within a tight-binding model.