Reviewerly/exHarmony huggingface dataset:
Meta-Level Techniques for Planning, Search, and Scheduling

Metareasoning is a core idea in AI at that captures the essence of being both human and intelligent. This idea is that much can be gained by thinking (reasoning) about one's own thinking. In the context of search and planning, metareasoning concerns with making explicit decisions about computation steps, by comparing their `cost' in computational resources, against the gain they can be expected to make towards advancing the search for solution (or plan) and thus making better decisions. To apply metareasoning, a meta-level problem needs to be defined and solved with respect to a specific framework or algorithm. In some cases, these meta-level problems can be very hard to solve. Yet, even a fast-to-compute approximation of meta-level problems can yield good results and improve the algorithms to which they are applied. This paper provides an overview of different settings in which we applied metareasoning to improve search, planning and scheduling.
Exploration and Research on the Teaching Reform Plan of Operating System Principle Course under the Background of New Engineering

Under the new engineering background, with the goal of improving teaching quality and cultivating application-oriented talents, the teaching reform is carried out for the course of operating system principle, introducing case teaching, strengthening practical teaching, reforming the assessment scheme, cultivating students' ability to analyze the underlying design of operating system and improving their professional quality.
Software for calculating the optimum tilt angle of PV modules in different latitudes of the Southern hemisphere and solar plant sizing

Through the development of photovoltaic technologies, the market related to this type of renewable energy grows constantly. In Brazil, the generated power through photovoltaic (PV) power stations approximates to 2.3 GW representing 1.3% of the total Brazilian energy mix. To supply the public it is necessary to offer tools that facilitate consumer decision making or even the work of a solar farm designer. By analyzing the user’s necessity, it is possible to determine that a great parcel needs a quick and simple response to help them with their questions, and programs that are already well established in the marketplace are complex for inexperienced users. For this reason, a software that calculates the best inclination for PV modules using the method proposed by Liu and Jordan in 1962 is developed. It also determines the number of modules that can be installed without any shading between arrays within a user-defined area. This calculation is possible through the standard dimensions provided by the module manufacturers and the solar height and declination study. Through a simple interface, the user quickly receives the optimum tilt angle of installation, the number of PV modules and the maximum generated power.
Flood Vulnerability Analysis using Weighted Overlay

Several areas in Bengkulu City are affected by floods every year; one of the worst is the Sungai Serut sub-district. The existence of a river that stretches along Sungai Serut also plays a role in floods over the Bengkulu area. Furthermore, this study to see the priority area over this district is still limited. Mapping flood areas is one way to provide information, especially for decision-makers in flood control using geographic information systems. Our research aims to map flood vulnerability areas based on land height, slope, and river buffer by weighting these criteria. This thematic map is the result of overlaying several maps according to the flood vulnerability criteria. The results of this study indicate that Sungai Serut is an area with "Very Vulnerable" and "Vulnerable" levels of flood vulnerability. The story of flood vulnerability is dominated by gently sloping contours, with land elevation levels mostly below 20 m above sea level. In addition, the thing that exacerbates the potential for flood vulnerability is the existence of the river that runs along the Sungai Serut sub-district.
Matching seismic activity with potential sources using machine Learning

&amp;lt;p&amp;gt;Detecting seismic signals and identifying their origin is more and more used for understanding environmental activity. This usually depends on a good signal/noise ratio (S/N), especially for the more distant sources.&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;A test area for detection and identification is the urban setting of the University of Vienna, a challenging environment with more than 4000 strong-acceleration events per day. These repetitive noise events would normally classify the site as &amp;quot;too noisy&amp;quot; for any advanced earthquake research.&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;With the real-time open database from Wiener Linien it is possible to attribute many of the repetitive seismic signals (e.g. on a Raspberry Shake Citizen Science Station) to the surrounding trams and train lines. The detection challenge was initiated in a Citizen Science Hackathon, where public interest sparked this research. The available train schedule and more than one year of continuous seismic records is sufficient to train and test a machine learning classifier which finds most characteristic features in the signals of commuter trains and trams, such as the energy in each frequency band.&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;The labeled dataset can be used to train our detection algorithm to find similar signals and to help determine whether a certain signal is present or not. An additional second seismic Raspberry Shake sensor is installed in the vicinity, to further constrain the directionality of the trains.&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;Studying the vibrations of train signals and solving the classification task of these repetitive patterns first can help develop robust methods&amp;lt;br&amp;gt;for seismically loud environments, and might lead to the detection of lower magnitude events such as regional earthquakes or landslides.&amp;amp;#160;&amp;lt;/p&amp;gt;
Transformation of educational structures: university as an entrepreneurial organization

The response of the higher education system to the challenges of today is the emergence and development of new forms of university activity, which more adequately correspond to modern realities. One of these forms is entrepreneurial universities. Thus, this study aims to determine the features of the transformation of universities into entrepreneurial organizations. The article reviews the scientific literature on the problem under study and presents options for defining an entrepreneurial university. Based on an expert survey, the areas of university entrepreneurial activity are determined. The authors indicate the features of entrepreneurial universities and establish and analyze methods for transforming universities in the direction of entrepreneurship. The study led to the conclusion that transformational change in universities is a prerequisite for their effective transformation into entrepreneurial universities.
Rancang Bangun Sistem Informasi Info Rapid Test Antigen di Jakarta Berbasis Website

The COVID-19 outbreak has reached the entire world, including Indonesia. With a pandemic like this, traveling out of town will experience difficulties because the government has issued a policy for the public to carry out a Rapid Test Antigen so that they can travel outside the city, and in the midst of a pandemic like this, all hospitals do not necessarily provide a Rapid Test Antigen. In this study, the authors created a website that contains information on hospitals that provide Rapid Test Antigen in Jakarta with the SDLC (System Development Life Cycle) method. The are used for this research is the entire DKI Jakarta area. The study uses data collection techniques by surveying directly to a hospital that provides the Rapid Test Antigen and secondary data obtained from the internet media. This application is expected to make it easier for residents of DKI Jakarta and those from outside the city to find out the location that provides the Rapid Antigen Test in Jakarta.
BEET: Behavior Engagement Emotion Trigger – A AI-based model to maximize audience engagement

Engagement and measuring is a key performance for any content. The wide spread of the Internet and the adoption in our daily life, audience has many options to explore and audience developed the power of rejection. This power of rejection reduces the time of exposure and engagement to any contents including the in person engagement. The access to the online tools and portals provide an escape route from human-tohuman interaction. A new tool to maximize audience engagement to a content that can influence a decision becomes a key performance and an asset for exposure. It enables a better delivery of the Contents, an increased interaction with the content, simplify the process of creating an engaging content, and maximize the exposure time. This paper presents a prototype, and evaluation of the performance of an automated Content Behavior Emotion Engagement Model “BEEM” that uses Deep Learning and Big Data analysis to discover the Behavior Emotion trend of the audience. BEETAIR is a new innovative framework that will transform the media market through Behavior Emotion Engagement Trigger Analyzer, and Intelligent Recommender. It uses The Artificial Intelligent-based Dialogue Generator for Maximum Audience Engagement
Computer-assisted Indexing Complements Manual Selection of Subject Terms for Metadata in Specialized Collections

Discovery of digital items by scholars and the public is highly dependent upon effective metadata to ensure inclusion and prioritization in search engines. Subject descriptions based on controlled vocabulary, such as Library of Congress subject headings (LCSH), are particularly useful to enhance discovery, but they may be expensive to provide. In this case study we compared the results of computer-assisted indexing with manual selection of subject terms as part of an effort to enhance findability of journal information at the issue level. Our results suggest that incorporating both computer and human processes provide the highest impact for discovery of distinctive digital collections.
Evaluation on User Perception Effect based on Interaction Techniques in the Stereoscopic Environment

The interaction of user performance with three-dimensional (3D) objects has become an important issue in the recent development of virtual reality applications. Additionally, the basic conviction of current Virtual Reality (VR) supports the development of the viable interface between humans and machines. The research focuses on the user’s interaction technique by considering two approaches (direct and indirect interaction techniques) for the users while interacting with threedimensional objects. Numerous possible uses can benefit from virtual reality by considering a few fundamental visual and cognitive activities in the Virtual Environment (VE), such as the interpretation of space that users of clear and indirect perception are not well established. The experiment is performed in a stereoscopic environment using a reciprocal tapping task. Participants are expected to use direct pointing as well as indirect cursor techniques to select a stereoscopic spherical target. The results show that, in the sense of a direct interaction technique, user recognition of an object appears to converge in the center of a simulated area. Unfortunately, this convergence is not demonstrated in the indirect cursor situation. The pointing estimation from the users is more accurate when using the indirect interaction approach. The findings provide an understanding of the interaction characteristics done by the users in the stereoscopic environment. Importantly, developers of a virtual environment may use the result when developing effective user interface perception in specific interaction techniques.
Actress training by Michael Saint-Denis: improvisation in a mask

The purpose of the article is to analyze the features of the theatrical and pedagogical activity of M. Saint-Denis and to reveal the specifics of the acting training "Improvisation in a mask" in the context of students' work with a neutral and characteristic mask. Methodology. The biographical method was applied (to cover the director's and pedagogical activity of M. Saint-Denis); the typological method (for identifying and determining the main features of the theatrical pedagogy of M. Saint-Denis in general and the methods of teaching the actor developed by him in particular); the method of comparative analysis (for the study of the training "Improvisation in a mask" with neutral and characteristic masks), etc. Scientific novelty. Studied the actor's training "Improvisation in the mask" of the leading theater director and teacher of the twentieth century. M. Saint-Denis and revealed the features of the work of student actors with a neutral and characteristic mask; analyzed the theatrical and pedagogical activities of M. Saint-Denis as a standardizer of theatrical practice in the context of the developed and implemented curricula for acting in drama schools founded with his assistance (London Theater Studio, Old Vic School, Strasbourg Higher School of Dramatic Art, Canadian National Theater School and the Juilliard Drama Department). Conclusions. M. Saint-Denis's holistic model of acting training is formed on the basis of an organic combination of a physical approach, in which the body learns to turn into an absolute expressive instrument, an internal approach, the so-called realistic characterization, and a comprehensive understanding of the style in the context of mastering physical, vocal, intellectual, creative and emotional skills, allows student actors to master all kinds of drama. The study revealed that the mask was considered by M. Saint-Denis as a temporary working tool that helps to reduce feelings of insecurity and awkwardness, enhance the ability of internal self-awareness, enhance expression and experimental activity, develop concentration of attention, self-control of a student-actor and a harmonious path from the inception of physical qualities. character to their external dramatic expression. The student's task is to fill the mask, to give it life and feelings. If the actor who animates the mask is convincing and sincere, it feels like he has his own facial expression. The aim of the training is: to eradicate cliché-manners; teach students to develop and release creative impulses; to teach students to work on classical roles or roles of the "big style" (according to M. Saint-Denis).
English Language Learning and Teaching in Indonesia in the Period of Covid-19 Out Break (Challenges and Opportunities)

This study explores challenges and opportunities experienced by both teachers and students in the teaching and learning activity during this covid-19 outbreak.It is a literature study by reading the literature sources, and the data were obtained from articles of online journals, e-book, law regulations, and other relevant sources.The study identified some challenges teachers and students encountered in teaching and learning activities as follows 1) Learning Facility to support online learning, 2) Teacher's ability to use technology, 3) Challenge in preparing the suitable material suits to online learning during the covid-19 pandemic, 4) Students' difficulties to understand the subject materials.On the other hand, it's obvious that the implementation of online learning brings some opportunities for teachers and students that can't be denied.Some important opportunities are 1) Teachers and students engage to learning technology, 2) Students More Engage the Independent Learning, and 3) Changed Practices and Perspectives.Further task that should be undertaken is to take responsibility on keeping a balanced in order that the challenges are reduced and the opportunities are taken maximally to make the learning objectives achieved as planed prior to the teaching and learning activity.
THE INFLUENCE OF QUANTUM LEARNING MODELS AND INTERPERSONAL INTELLIGENCE ON STUDENT LEARNING OUTCOMES ON THEME “PERISTIWA DALAM KEHIDUPAN” IN CLASS V SD NEGERI 200301 PADANGSIDIMPUAN

The research objective is to find out the influence of the Quantum learning model on interpersonal intelligence and the influence of the Quantum learning model on the learning outcomes of students. The research was conducted on fifth grade students at SD Negeri 200301 Padangsidimpuan by taking two classes (experiment class and control class) as many as 50 students. This research was a Quasi Experimental Design type. The data analysis used SPSS 22.0 with a 2x2 factorial. The instruments used were the PPKn learning outcomes test and the Interpersonal Intelligence instrument. Data analysis used two-way ANOVA. The results showed: (1) the influence of the Quantum learning model is higher than the conventional learning model; (2) the learning outcomes of students who have high interpersonal intelligence are higher than students who have low interpersonal intelligence (3) there is the interaction between quantum learning models and students' interpersonal intelligence in influencing student learning outcomes of PPKn. Based on the results of this study, it is suggested that Quantum learning model can be used as an alternative for teacher to improve the ability of interpersonal intelligence and learning outcom of students.
Metrology: A New Open Access Journal with a Broad Scope and an Exciting Mission

It is with sincere pleasure that we welcome you to the inaugural issue of Metrology [...]
PENGEMBANGAN MEDIA PEMBELAJARAN PERMAINAN TRUTH AND DARE UNTUK MENINGKATKAN HASIL BELAJAR SISWA

The limitations in the use of learning media in learning activities and the lack of student learning outcomes make researchers want to develop the learning media based on the Truth and Dare game as a learning medium on economic subjects in the APBN and APBD material. The research on development the learning media based on the Truth and Dare game aimed to explain the level of feasibility; analyzed effectiveness and practicality; the response of students to the learning media; and learning outcomes. This study uses the R&D method with the 4D Models research by Thiagarajan (define, design, develop, and disseminate.) The research subjects were 20 students of class XI social. Data collection techniques through interviews, questionnaires, and tests. Data analysis techniques are expert analysis and validation; student questionnaire responses; and gain score calculation. The learning media Truth and Dare game are considered very practical and effective so that they can improve student learning outcomes in accordance with the average N-Gain score of 0,71 with an increase in the pretest and postest scores with an excellent student response of 98,2%, percentage score of eligibility of 95,64%, percentage score of effectiveness of 100%, and percentage score of practicality of 100%. The learning media Truth and Dare game have also gone through the stages of review, revision, and validation with very feasible. Therefore, the learning media as a Truth and Dare game is very suitable for use in learning activities because it can improve student learning outcomes.Keywords : Media Learning, Truth and Dare game, Outcomes Learning
PELATIHAN LSM PERPUSTAKAAN BJ SCHOOL BERBASIS WEB PADA YAYASAN BAITUL JIHAD BEKASI

The progress of the library automation system (Library Management System) in the library has now been carried out, especially during a pandemic that requires maintaining distance and face-to-face contact. Starting from that thought, the UNISMA community service team is interested in holding library NGO (Library Management System) training activities Web-based BJ School. This BJ Scholl library website serves to present various information on books, journals and magazines, history and school vision and mission, member data, online book lending and book return data. Apart from the web, it also displays a link feature with several online libraries from several agencies. The training was carried out offline for 1 day and continued with online discussions. The training begins with the introduction of several topics about the website, followed by downloading and installation. Prior to the training, 100% of the participants had never created a website, either with wordpress or with other applications. And after the training, 60% of the participants have been able to apply website creation for their library. Some of the participants were constrained by a slow network and computer damage, so they were late in following the material given. All participants stated that this training was very useful.
Improving Data Extraction System to Parse Data from Scraped Job Advertisements

Extracting the information from an online job advertisement might be a little tricky. The information is wrapped with redundant information, called boilerplate, that is not related to the job at all. The information also needs to be segmented and classified into the right class or groups. After the information has been classified, it is easier to find the features (e.g., required skills and required education) that make the later processing faster.
Olga Dmitrievna Golubeva: to the 100th anniversary of her birth

In 2021 we mark the 100th anniversary of the birth of O. D. Golubeva, a bibliologist, Doctor of Philology, whose entire working life relates to M. E. Saltykov-Shchedrin State Public Library. For 35 years she was the deputy director of the library for scientific work. The article recreates the biographical sketch of the scientist, reveals the significance for Russian literary criticism of her research on the publishing activities of M. Gorky and several publishing houses of the early twentieth century. Special attention is paid to the role of O. D. Golubeva in the creation of a whole series of works devoted to the history of the Library, including biographical sketches of the figures of the Imperial Public Library. The role of the scientist in the creation of the school of historical biography in the National Library of Russia is determined.
An Overview of Technology in Education Sector

Abstract: Technology gives moment-to-moment openness to data, which is the reason its quality in the classroom is so fundamental. Advanced cells, PCs, and tablets are now a ubiquitous component of daily existence for understudies and educators the same. It's just normal that the utilization of innovative gadgets in the class are investigated to make significant learning encounters for understudies, everything being equal. Nowadays, it is almost hard to find a classroom that doesn't have no less than one PC in it. Fortunately, research recommends adding innovation to a classroom can positively affect instructing and learning. Using various sorts of innovation in the classroom, including a virtual study hall, makes students who are effectively drawn in with learning targets. The implementation of innovation likewise makes pathways for separate guidance to meet the exceptional necessities of understudies as individual students inside a more extensive classroom environment. In current time, smart classes is a new innovation development that is quick turning into a basic for each institute in the world. It is an in-the-study hall innovation arrangement that has changed instructing and getting the hang of, connecting with a huge number of schools and schools. Keywords: Integration of Technology, Google Doc, Virtual Reality, Education, Online System, Opportunities, Future Scope