Reviewerly/exHarmony huggingface dataset:
Video Preview Generation Based on Playback Records

A video preview is formed by joining a subset of video snippets from a source video. It is expected to be expressive to help enrich users' experience and hence increase the views of the full video. However, it is challenging to identify suitable video snippets to compose such video previews in support of user recommendation of full-length videos. In this paper, we formulate this problem as an optimization problem to maximize the total playback popularity of video segments based on the analysis of a large amount of users' playback records. We design an algorithm for this problem and provide proof of optimality. Furthermore, we conduct an experiment using real industrial data and recruit volunteers to assess the quality of generated video previews. The experimental results show the feasibility and applicability of our methods.
Geochemistry of basaltic rocks of Meshkin- Rasht Abad area (North of Zanjan)

The Meshkin-Rasht Abad area is a small part of the western Alborz-Azarbaijan magmatic belt (AAMB). Field investigations reveal that andesitic-basalt rocks are the dominant rock units of the area with high-K calc-alkaline to shoshonitic affinities. On the basis of geochemical features all rocks are enriched in light rare earth elements (LREE), large ion lithophile elements (LILE) and have positive anomalies of Pb, U and Cs and Ti, Sr and Nb negative anomalies. These volcanic rocks have the criteria of active continental margin arcs on tectonomagmatic discrimination diagrams. Geochemical data, including low amounts of Cr, Ni, V, and Zr/Nb ratio suggest the enriched mantle source (lithospheric mantle) for the rocks under study. Moreover, the diagrams of the ratio of highly incompatible elements indicate the effect of slab-derived fluids on the magma generation. The Ce/Pb low value as well as various geochemical diagrams demonstrate that the magma is possibly contaminated by continental derived-crustal materials.
Origami as a General Education Math course: Before and During a Pandemic

The collection of chapters in this special book examines educational practices during the COVID-19 viral outbreak. This special book brings together a variety of studies and scholars in an effort to exemplify how the COVID-19 shapes the learning and teaching processes in different countries. The twelve chapters selected for this special book present diverse vantage points on the circumstances that influence students, teachers, parents, and schools. The focus of this book is on education, but in the context of broader global effects. Education processes, practices, and outcomes in the time of COVID-19 do not occur in a vacuum. Disruptions to the normal processes and practices of education associated with the novel coronavirus are directly tied, among other considerations, to the societal risk of having students congregating in close quarters, the economic problems encountered by their families, difficulties of food availability, and loss of family cohesion due to death, illness, and lack of proximity and diminished support structures due to social distancing. Any return to “normal” education opportunities and the hope for improving (or at least sustaining) positive student outcomes likely will be impossible without a vaccine that is available worldwide at low or no cost, together with effective repair of the global economy, and the ability of students and adults to engage in larger-group activities. Until that situation becomes reality, many children will be unable to learn effectively and will not be equipped to realize their potential. In summary, the twelve chapters cover the topic of educational practices during the COVID-19 viral outbreak. The chapters are authored by scholars from 10 different countries: the United States, Turkey, the United Kingdom, Spain, Bhutan, Indonesia, Morocco, India, Oman, and the United Arab Emirates. The chapters provide readers with a wide range of international perspectives on educational practices during the COVID-19 pandemic. The reported studies involve research findings from students, teachers, parents, and school administrators at different levels of students’ education experience.
Accurate Liver Border Identification Model in CT Scan Images

The liver is an important organ in human body with certain variations in its edges, color, shape and pixel intensity distribution. These uncertainties may be because of various liver pathologies, hereditary or both. Along with it, liver has close proximity to its nearby organs. Hence, identifying liver in scanned images is a challenging step in image processing. This task becomes more imprecise when liver diseases are present at the edges. The liver segmentation is prerequisite for liver volumetry, computer-based surgery planning, liver surgery modelling, surgery training, 3D view generation, etc. The proposed hybrid segmentation method overcomes the problems and identifies liver boundary in Computed-Tomography (CT) scan images accurately. In this paper, the first step is to study statistics of pixel intensity distribution within liver image, and novel methodology is designed to obtain thresholds. Then, threshold-based segmentation is applied which separates the liver from abdominal CT scan images. In the second step, liver edge is corrected using improved chain code and Bresenham pixel interconnection methods. This provides a precise liver image. The initial points are located inside the liver region without user interventions. These initial points evolve outwardly using Fast Marching Method (FMM), identifying the liver boundary accurately in CT abdominal scan images.
THE RELATIONSHIP BETWEEN INTERPERSONAL INTELLIGENCE AND PARENTS’ ATTENTION

Since English as a global language, it becomes a require subject that need to be studied especially for college students. English rule is different from Indonesian language therefore it is not easy for Indonesian students to study it. Language is used for communication. In learning a language, it is needed to communicate actively. It means that students need to be active in class. The students who have interpersonal intelligence mostly can communicate effectively. They like to participate in a debate or discussion. And the students who have interpersonal intelligence is tendency easy in learning a language. As well as interpersonal intelligence, parents’ attention has an important contribution in supporting their children in education, especially in learning English.  Good attention will emerge discipline, motivation, responsibility of students to study. And it will bring them to get a good grade at school. The objective of this study was   to determine the relationship between interpersonal intelligence and parents' attention with English speaking skills.The research was conducted at Polytechnic LP3I Bekasi, and    60 students were   the respondents.  The  quantitative method and correlation technique were used to obtain and analyze data, which shows a positive relationship between Interpersonal Intelligence and English Speaking Skills, a positive relationship between Parents’ Attention and  English - Speaking Skills, and a positive relationship between Interpersonal Intelligence, Parents’ Attention simultaneously with English Speaking Skills.   Therefore, teachers are expected to motivate students to increase their communication skills by doing a lot of interaction in their community. Moreover, teachers need to make a discussion with the parents in order to make the parents giving more attention to their children.
Analysis of futsal matches using a single-camera computer vision system

The use of computer systems in sports has increased significantly in the last decade. Consequently, systems have been developed to help each athlete or team quantify their performance, such as distances traveled, speeds attained, and positions where each athlete was on the court or field. In this work, a method based on computer vision is proposed to analyse futsal matches. Videos were acquired using a single camera with a wide-angle lens, which facilitates the installation and calibration process in different matches and arenas. The approach is illustrated through video recordings of Pato Futsal team, from which the athletes were detected, their positions projected from pixels to real world coordinates their trajectories estimated. The generated data visualization aims to help coaches in their physical and tactical analysis.
Artifact Detection in Invasive Blood Pressure Data using Forecasting Methods and Machine Learning

Vital signs, such as blood pressure and heart rate, are continuously and closely monitored during surgery and in the intensive care unit to ensure patient health. There has been increasing interest in studying the large data sets of electronic vital sign records to improve patient outcomes, predict issues, and detect complications early. However, the records of vital signs, particularly one called invasive arterial blood pressure, may be populated with artifacts (noise) due to various situations. In order to use this large volume of data in research, it is essential to accurately remove the artifacts to ensure data quality and avoid drawing conclusions from non-physiologic data. Manual labelling of artifacts is not a viable solution because of the significant time required to go through large volumes of data. We studied several solutions for artifact removal, including forecasting methods and machine learning strategies such as standard and anomaly detection algorithms. We also performed experiments using the information of one or multiple feature variables. We observed that XGBoost algorithm achieved the best performance amongst all algorithms tested. Forecasting methods exhibited a poor performance when compared to other machine learning algorithms. Anomaly detection methods showed a good overall performance. However, these special-purpose methods were not able to achieve a performance comparable to the XGBoost learner.
СРАВНЕНИЕ БЫСТРОДЕЙСТВИЯ АЛГОРИТМОВ ГЕНЕРАЦИИ ГАММА-РАСПРЕДЕЛЕНИЯ ДЛЯ ИМИТАЦИОННОЙ МОДЕЛИ КОЛОННОГО СТРУЙНО-ЭМУЛЬСИОННОГО РЕАКТОРА

The article studies the performance of algorithms for generating random numbers from the gamma distribution. In the simulation model of the column jet-emulsion reactor, the gamma distribution is used to create particles for such parameters as the size and composition of substances in the particle. ActionScript 3.0 is chosen as the programming language. Seven algorithms for generating the gamma distribution are implemented: Marsaglia and Tsang, Cheng and Fist (two versions), Ahrens and Dieter, Tanizaki, Schmeiser (two versions) with a parameter value α > 1. To implement the Marsaglia and Tsang algorithm, algorithms for generating a normal law of distribution are considered: Box-Muller, Marsaglia-Bray, Devroy, central limit theorem, Neumann, the ziggurat method. The comparison of the generation of the gamma distribution in two versions is made: without preliminary initialization of the initial values and with it. The fastest for 1 2 Marsaglia and Tsang's algorithm is stable with increasing gamma distribution parameter α.
Video-based pedestrian crossing the cordon detection system

In order to strengthen protection of personal safety and important places, this paper designs a pedestrian crossing the cordon detection system to process the image information captured by the camera intelligently in real time. Firstly, Gaussian mixture model is established to detect pedestrians. The detected target image is processed and initialized. Then target information is transferred to the Camshift algorithm for tracking, which solves the problem of manually selecting tracking targets. The Camshift algorithm combined with the Kalman filter which has update and prediction functions can overcome tracking failure due to interference and occlusion especially in the dark environment. On this basis, system can achieve crossing the cordon warning and information reporting to ensure the safety of people and important places. This system can be used in mines, culverts, tunnels and other dangerous and dark areas for safety protection, and has great practical application value.
Adaptive Computing (and Agents) for Enhanced Collaboration (ACEC 2020)

The 18 <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">th</sup> edition of the “Adaptive Computing (and Agents) for Enhanced Collaboration” (ACEC) track at WETICE 2020 focuses mostly on the area of adaptive agent-based techniques for the enterprise. The aim of the track is to bring together researches and practitioners from the fields of software agents and adaptive computing to present results and discuss innovative ideas. This report outlines the content of the papers accepted for presentation at the track.
Improved Image Deblurring Algorithm to Generate Antagonistic Neural Network

Aiming at the difficulty of the de-blurring kernel, poor de-blurring effect, and ringing caused by image noise in the traditional de-blurring method of moving image with the fuzzy kernel, a new algorithm based on edge discrimination and antagonistic neural network is proposed in this paper. The improved algorithm is based on the traditional condition to generate the antagonistic neural network by reducing the noise of the blurred image, extracting the edge information of the image and using it as the auxiliary information to guide the de-blurring effect in the generator. The discriminator network is improved, that is, two discriminators are used to distinguish the de-blurred image and the edge image extracted from the de-blurred image, and the two discriminators must be deceived simultaneously to achieve the de-blurring effect. Compared with the end-to-end deblurring algorithm in recent years, in the image dataset with 0.007 Gaussian noise, the PSNR of the improved algorithm is increased by 7.7 <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">%</sup> and the structural similarity is increased by 10% on average, but its running time is unchanged. Experimental results show that the improved algorithm can effectively remove the blurred image, and can be widely used in the field of natural motion-blurred image de-blurring.
Instructional Design and Delivery System

Principles of learning are beliefs, tenets or axioms that guide the instructional process.Following are some general principles of learning.Teaching is not mere telling it is that which promotes learning and which guides, corrects, reinforces and evaluates learning.Active participation of the student in the teaching learning process is a prerequisite for learning.Similarities between instructional event and actual tasks in jobs lead to greater transfer of learning.Learners differ in the way in which they learn and the rate at which they learn.Learners are to be encouraged to continually evaluate past learning and assess their own needs for future learning.
MOBILE AUGMENTED REALITY: DESIGN PRINCIPLES FOR THE USE IN EDUCATIONAL SETTINGS

Mobile Augmented Reality (MAR) is increasingly used in education.MAR has the potential to motivate and engage learners, increase learning effects and change the quality and quantity of interaction during the learning process.Therefore, MAR learning settings (MARLS) design principles are needed to provide teachers and researchers with orientation knowledge MARLS.However, there is a lack of frameworks and principles to guide the design of effective MARLS.Design principles for MARLS should include technical and pedagogical aspects.In a literature review we analyzed 12 studies on MAR design and application for education to identify the design principles: 1. Usability; 2. User centeredness; 3. Basic learning theories; 4. Conscious application; 5. Cognitive overload.The principles may guide researchers and practitioners to bridge the gap between MAR innovations and real-world classrooms.
Yellowstone Volcano Observatory 2018 annual report

First posted February 3, 2021 Revised March 16, 2021 For additional information, contact: Contact YVOVolcano Science Center, Yellowstone Volcano ObservatoryU.S. Geological Survey345 Middlefield Road, MS 910Menlo Park, CA 94025 The Yellowstone Volcano Observatory (YVO) monitors volcanic and hydrothermal activity associated with the Yellowstone magmatic system, conducts research into magmatic processes occurring beneath Yellowstone Caldera, and issues timely warnings and guidance related to potential future geologic hazards. This report summarizes the activities and findings of YVO during the year 2018, focusing on the Yellowstone magmatic system. The most noteworthy seismic activity of the year was a February swarm of hundreds of earthquakes in the same area as the 2017 Maple Creek earthquake swarm. The February 2018 activity is viewed as a continuation of the 2017 swarm. Ground deformation trends were mostly unchanged throughout the year, with uplift of the Norris Geyser Basin area and subsidence of the caldera.Field work in 2018, conducted under research permits granted by the National Park Service, included routine maintenance visits to seismic and geodetic stations as well as deployment of a semipermanent Global Positioning System network during the summer months; installation of an eddy covariance system for tracking carbon dioxide emissions and heat flux near Norris Geyser Basin; deployment of nodal seismic arrays on Geyser Hill, near Steamboat Geyser, and around Yellowstone Lake; and collection of water and gas samples from the Bechler River area in the southwest part of Yellowstone National Park. In addition, examination of satellite thermal imagery resulted in the discovery of a new thermal area on the east side of the Sour Creek resurgent dome, near west Tern Lake. This thermal area appears to have started forming in the early 2000s; before then it was an area of healthy forest. The year might best be remembered, however, for some extraordinary geyser and hot spring activity, specifically at Steamboat Geyser and Ear Spring.
PEMBERDAYAAN ANAK DAN REMAJA PEREMPUAN MELALUI PEMBELAJARAN BAHASA INGGRIS DI DESA GOLONG, KEC. NARMADA MENGGUNAKAN PENDEKATAN COLLABORATIVE LEARNING

Various issues in villages become one of the obligations of academicians or lecturers to solve the problems faced by society. Golong is a village that has the uniqueness and opportunity to be a developed village both for natural resources and human resources. Even though the society has low income but the spirit of the society is high. Therefore, community service team initiates to guide in learning English for children and women teenagers in Golong, Narmada, and West Lombok. Collaborative learning is one of the methods used in this community service activity because it involves and provides plenty opportunity to the learners for sharing and discussing of the materials and to solve the matters. Consequently, by applying the collaborative learning approach, the learners are expected to be more active in learning and cooperating so that their habits of learning and collaboration to be implemented by the learners in workplaces. The community service results show that guidance and empowerment in learning English have a positive impact and have a good response from the learners and community. The empowerment has a pivotal role in encouraging the learners’ motivation and improves the learners’ achievements. The community service activity is expected to be able to be sustainable and become one of cooperation between institutions and villages so that the institution contributes to shape the society to be smart, wise, and prosperous.
Figure It Out!: A Language Game to Promote Creative Use of Expressions in Esl Writing Classrooms

This study aims to enhance students’ writing task of the Malaysian University English Test (MUET) by utilising figurative devices, especially similes, metaphors, idioms, hyperboles and proverbs. This study adopted a mixed-method design; pretest, post-test; structured interview and learners’ perceptions on using a board game in the ESL writing class. This study involved two phases. In Phase One, the students went through a pretest. Then, they played FIGURE IT OUT four times before sitting for the post-test. The students showed a marginal improvement; pretest =11.5172(m) and post-test =12.3966 (m). The learners, in the structured interview, expressed joy playing the game, although it was slightly challenging as some of them lacked exposure in figurative expressions. Then the board game was revised. In Phase Two, the game included three different levels of figurative expressions. The learners had the opportunity to play accordingto their levels. Once they completed Level 1 of the game with at least 75% of correct answers, they were allowed to proceed to Levels Two and Three. In Phase 2, there was control and experimental groups. Both groups sat for the pre and post-tests. The learners in the control group learned writing skill through the common communicative way by working individually and in small groups. As for the experimental group, the leaners played FIGURE IT OUT six times.
Mineralogical, Geochemical, and Raman Spectral Characteristics of Amphibole Mineral Types in Amphibolite from Southern Sanandaj-Sirjan Metamorphic Belt (Iran)

DOI: 10.17014/ijog.8.1.59-72 The current study is related to amphiboles in amphibolite rocks in the northwest of Golgohar Iron Mine located in the southern part of Sanandaj-Sirjan metamorphic zone.Petrography observations indicate that the studied rocks are of ortho-amphibolite type, formed from metamorphism of igneous rocks. The analysis of amphibole crystals in amphibolites of the region was done by petrography, electron microprobe, and Raman spectroscopy. Raman spectral pattern of the studied minerals was discussed in comparison to mineral type and chemistry characteristics. Based on mineral chemistry studies, it was discovered that all amphiboles in the studied rocks are calcic with (Ca+Na)B≥1.34 and SiIV between 6.27 and 6.76 atoms per formula unit. Based on their enrichment in the elements Al and Fe3+, their composition varies from tschermakite to magnesio-hornblende. Raman spectral peak pattern for amphiboles and terrestrial tremolite does not have significant discriminable differences. However, Raman peak patterns of tremolite have clearly different features versus tschermakite. According to the general formula of amphiboles [A0-1B2C5T8O22(OH, F, Cl)2], the Raman spectrum variability of the tschermakite and tremolite can be due to the position of A site, Al incorporation into M1 + M2 + M3 sites and into the T site.
The Digital Transformation of the Classroom – the What, How, and Why in Austrian Secondary Colleges of Agriculture and Forestry

Throughout the education system, more and more classrooms are using digital technology. Although the idea of a digital or smart classroom has been around for years, electronic technology such as tablets, laptops, smartphones, and e-readers enable learning anytime and anywhere. They support all pupils in more easily reaching their full potential in college and further careers. This paper focuses on the evaluation of the digital transformation at secondary colleges for agriculture and forestry. Aiming to help colleges in their understanding of the digital transformation process, this paper discusses the what, how, and why of this transformation. Data from an online survey of 1,963 pupils has been analysed as a backdrop to the exploratory research in this paper. While digital transformation does not have a finish line, there are certain steps that drive a sustainable and smart transformation. There may even be benefit in having a framework for the digital transformation of colleges. Digital transformation in Austrian secondary colleges of agriculture and forestry should enable constant innovation and enhance teaching and learning. This notwithstanding, it must be supported by a combination of vision and leadership, process and methodology, culture and research, as well as by the technology itself.