Reviewerly/exHarmony huggingface dataset:
Wladimir Baranoff-Rossine’s and Grigory Gidoni’s Light and Color Projection Devices: 1920s–1930s

The article is devoted to W. Baranoff-Rossine’s (1888–1944) optophonic art and the art of light and color invented by G. Gidoni (1895–1937). The achievements of the artists in the field of art synthesis are compared on several overlapping levels: concepts of new art forms they created; institutions they managed to partially implement, and projects of institutes they planned to realize; theoretical insights; light and color apparatus (optophone; light orchestra) and patents for the inventions. In her comparative analysis of the artists’ concepts, the author concludes that in their reference points, the ideas of Baranoff-Rossine and Gidoni were very close. The following provisions are common for the artists: contributing rhythm and dynamics to painting; bringing pictural art out of the plane onto a screen/transparent screen or into space; combining light and color with sound; bringing fine art closer to music. However, in their aspiration to bring light and color beyond the limits of pictural art (into time and space), they acted in different directions. In its operation principle, Baranoff-Rossine’s instrument was closer to cinematography (all colors and drawings were projected on the screen). Gidoni’s light and color device, which assumed no screen at all (the screen was implied to be transparent), was more of a theatrical thing. The artist dreamed of creating a light theater which would incorporate light music, light architecture, light declamation, and light choreography.
Discriminating Against Unrealistic Interpolations in Generative  Adversarial Networks

Interpolations in the latent space of deep generative models is one of the standard tools to synthesize semantically meaningful mixtures of generated samples. As the generator function is non-linear, commonly used linear interpolations in the latent space do not yield the shortest paths in the sample space, resulting in non-smooth interpolations. Recent work has therefore equipped the latent space with a suitable metric to enforce shortest paths on the manifold of generated samples. These are often, however, susceptible of veering away from the manifold of real samples, resulting in smooth but unrealistic generation that requires an additional method to assess the sample quality along paths. Generative Adversarial Networks (GANs), by construction, measure the sample quality using its discriminator network. In this paper, we establish that the discriminator can be used effectively to avoid regions of low sample quality along shortest paths. By reusing the discriminator network to modify the metric on the latent space, we propose a lightweight solution for improved interpolations in pre-trained GANs.
Heuri: A scrabble© playing engine using a probability-based heuristic

The game of Scrabble has been successfully tackled by two engines: Quackle and Maven. They attain the state-of-the-art in Computer Scrabble. These engines use simulation techniques and precalculated values to achieve superhuman play. This paper presents a Scrabble-playing engine, Heuri, which achieves world championship standards when playing in Spanish, and a very high level when playing in English and French, without using brute-force approaches.One advantage of Heuri is that its calculations, as opposed to many in Quackle, are not precomputed and instead performed for every turn. Spanish match results of different versions of Heuri against humans and two versions of Quackle are presented in this paper. Results against Quackle, in English and French, are also given. The main goal of this paper is to enrich Computer Scrabble with the description of a Scrabble playing program, Heuri, which is differently designed from earlier ones such as Maven and Quackle. An additional goal is to give Scrabble players an excellent strategy for obtaining championship level in Spanish.
Perancangan Jobsheet Mikroprosesor Zilog 80 Menggunakan Mikroprofesor MPF-1

An understanding of the microprocessor is needed for the development of a microcomputer. The Z80 microprocessor was chosen as a learning medium because the programming architecture is still basic. This study uses R&amp;D (Research and Development) and the ADDIE (Analyze, Design, Development, Implement, Evaluate) development model. The final product of this research is learning media in the form of Zilog 80 Microprocessor Jobsheet. students in microprocessor courses and the implementation of microprocessor practicums so that they can run effectively. The research results obtained for the Zilog 80 Microprocessor Jobsheet based on the assessment of media experts get a total percentage of 81.2% and are included in the very eligible category, then the results of the assessment based on material experts get a total percentage of 87.5% and fall into the category very worthy. In addition, the results of questionnaires from users of the Zilog 80 Microprocessor Jobsheet also received a total percentage of 85% and were included in the very eligible category. Based on the results of the assessment obtained, it can be concluded that the Zilog 80 Microprocessor Jobsheet can be said to be eligible as a learning medium
Project Management in Action: An Integrated Product Team

This paper describes the observance of a project by the University of Alabama -Huntsville, to introduce undergraduate students to a teamwork environment.The parallel research/education effort, sponsored by the U.S. Army Aviation and Missile Command, established an Integrated Product Team (IPT) to design an
Prayer Guide Gyroscope Bracelet for The Deaf Using MPU6050 Sensor

The majority of Indonesia's population is Muslim, including more than 13,000 people with hearing impairments. In carrying out congregational prayers, the Deaf find it difficult to follow the instructions of the Imam's movement. The presence of hearing aids cannot be used by all persons with hearing impairments, and hearing aids often cause a buzzing sound, thus disturbing concentration. Therefore, in this study, a gyroscope bracelet will be made to assist people with hearing impairments in following the instructions of the Imam's movement when carrying out congregational prayers. The bracelet worn by the Imam will send a code in the form of a change in angle to the bracelet used by the Deaf congregation. The Z angle is a vertical angle in the gyroscope where the Z angle has an angular velocity of 360 degrees per second. The control system uses Arduino nano FT232RL FTDI FT232. The communication module uses HC-12 SI4463, with a wireless frequency of 433.4 - 473.0 MHz. The sensor for detecting changes in motion is the MPU6050 gyroscope sensor, the vibration indicator uses a micro vibrator motor. The bracelet used by the deaf will read the code from the Imam's device, with a notification in the form of a different vibration on every change in prayer movement. After experimenting with 30 people, the percentage of success was 84% ​​for all prayer positions. Thus, the gyroscope bracelet tool for prayer guides for the Deaf can help the Deaf community in carrying out congregational prayers.
VOCABULARY ASSESMENT STRATEGY

This research aims to find out the vocabulary assessment strategy used by teachers in assessing students' vocabulary in secondary schools and how the results of applying the vocabulary assessment strategy are to students' vocabulary skills. This research uses qualitative descriptive \where the data collection uses a questionnaire included in the google form and distributed to 10 English teachers from various schools in North Sumatera. From this research, it was found the vocabulary assessment strategy used by teachers during the examination was to match the word (40%), multiple-choice (30%), fill the blank (20%), and define the word (10%). The vocabulary practice strategies used are memorizing, puzzle games, paper forms, shorting-guided words, reading comprehension, asking and answering methods, conversation, oral tests, and written tests. This research concludes that the vocabulary assessment strategy is used very helpful for students to achieve the targets and 60% satisfactory for students' knowledge and 40% is moderate. Keywords: Vocabulary, Assesment, Strategy
Application of Multiple Linear Regression Algorithm for Motorcycle Sales Estimation

CV. Kerinci Motor is a company engaged in the transportation and automotive sector, especially in the sale of motorcycles. The uncertainty in the number of motorcycle sales at this company has hampered the company's development, because the company cannot take definite policies regarding the sales that occur. Therefore, it is necessary to estimate the sales of motorcycles at this company in the future, so that the management can estimate consumer demand in the future. So that the company is able to serve and provide consumer demand. The estimation algorithm that will be used in this research is Multiple Linear Regression which is one of the data mining methods. This method was chosen because it is able to make an estimate by utilizing data regarding sales. The results of the estimated (estimated) sales of manual motorcycles in 2021 by January are 56,941 or 57 motorcycles in the manual category. This means that there is an increase in the number of manual motorbikes by 5 motorbikes, while the results until May 2021 amounted to 65,710 motorbikes. So it can be concluded that sales of motorcycles at CV. Kerinci Motor have increased sales in the next 5 months.
Mali: Debt Default

Africa Research Bulletin: Economic, Financial and Technical SeriesVolume 59, Issue 2 p. 23771C-23771C Policy and Practice Mali: Debt Default First published: 01 April 2022 https://doi.org/10.1111/j.1467-6346.2022.10483.xRead 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. Volume59, Issue2April 2022Pages 23771C-23771C RelatedInformation
Media Content for and Research on Children in Low- and Middle-Income Countries

Available content and research on children and media differ strikingly between high-income and low- and middle-income countries (HICs versus LMICs). In just the last decade, the problem of access has changed considerably. Children and adolescents from LMICs receive broadcasts, but more so, frequently use the internet and social media. Available content comes mostly from high-income countries, although in-country production companies and user-generated material are emerging. Other than evaluations of preschool programming, most research on use and effects is superficial. Given that almost 90% of those 14 years and under live in LMICs, it is time to support children's media and research in these parts of the world.
AN EXAMPLE OF THE PROCESS OF HYBRIDISING A MATHEMATICS COURSE AT A STEM ORIENTED HIGHER EDUCATION INSTITUTION

In recent years, there have been major changes in the approach to learning and teaching, especially in university teaching in STEM - oriented faculties. Traditional classroom teaching is increasingly being replaced by modern teaching methods. Teaching processes are oriented towards the paradigm of Education 4.0, and digital platforms are no longer just a tool, but a fundamental teaching tool. It should certainly be noted that the period of the pandemic has accelerated this process and it was necessary to adapt the educational system to the new conditions in a short time.In this paper, we describe the modification and hybridization of the engineering mathematics course for students of electrical engineering and computer science, taking a closer look at the topic of Laplace transforms, which is mandatory for all students of these disciplines. In other words, we describe the transition of a course from a traditional face-to-face course to a hybrid course in which elements of face-to-face instruction and e-learning are interwoven.The transition process itself was based on two basic principles. First, we wanted to retain the extremely important socialization component of face-to-face teaching, and second, we wanted to significantly digitalize the process of learning and teaching. The pandemic further accelerated the digitalization process, forcing us to experiment with new methods and approaches in situ and in vivo. This led to important insights that ultimately improved the entire teaching process, from knowledge delivery to validation of learning outcomes and assessment of students' knowledge and skills.Ubiquitous learning, where learning can take place anytime and anywhere without spatial or temporal constraints, has become a fundamental teaching method. The benefits of innovative teaching approaches such as gamification and reverse classroom have also been explored, and these approaches have proven to be extremely useful in maintaining student focus and motivation.In this paper we will describe what e-learning tools we have used in the teaching process, how they have been adopted by the students and what benefits they have actually had in the context of the knowledge acquisition process. We will list all the challenges we faced, be they pedagogical-didactic or technological. Special attention will be given to the digital process of valorisation of learning outcomes and continuous assessment of students' skills.Although we will use the topic of Laplace transforms as an example, we will analyze the possibility of applying the established model to other course content and to other courses and study groups. In other words, we will present a sustainable and optimal model for a smooth transition from the old, classical approach to learning and teaching to the modern, hybrid approach that focuses first and foremost on the welfare of students and is oriented towards the needs of modern society.
Application of unsupervised machine learning techniques for lithological and soil mapping in Ossa-Morena Zone

&amp;lt;p&amp;gt;Unsupervised methods are a good entry point for satellite image classification, requiring little to no input, and outputting an analysis, in the form of a thematic map, that may act as a guide for more user input intensive methods. For this work, we use K-means methods to classify satellite and drone imagery that cover the Ossa-Morena Zone (OMZ), in Portugal, and assess their capacity for lithological and soil mapping. The drone is equipped with a High Precision NDVI Single Sensor and was flown over the ancient mines of Moci&amp;amp;#231;os, Mostardeira and Santa Eul&amp;amp;#225;lia. The OMZ is a tectonostratigraphic domain shared between Portugal and Spain, divided in Sectors, extraordinarily rich and diverse from a lithological, stratigraphical, and structural point-of-view; for this work, we will focus on the Estremoz-Barrancos sector, comprised of a Neoproterozoic to Devonian metasedimentary succession, with a low-grade metamorphism in greenschist facies, and the Santa Eul&amp;amp;#225;lia Plutonic Complex (SEPC), an elliptic late-Variscan granitic massif that crosscuts the Alter do Ch&amp;amp;#227;o-Elvas Sector and the Blastomylonitic belt, constituted by two granitic facies, a few small mafic bodies, and some roof pendants that belong to the Alter do Ch&amp;amp;#227;o-Elvas Sector.&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;The imagery used correspond to high-level satellite imagery products gathered between 2004 to 2006 (ASTER) and 2017 to 2021 (Landsat 8 and Sentinel-2), and drone imagery captured on May 6th and August 31st, 2021.&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;The K-means was applied to a variable number of selected bands, including band ratios, and tested for different number of initial clusters and different distance algorithms (Minimum Distance and Spectral Angle Mapping). Afterwards, it was assessed its ability to outlining and classify different geological structures by comparing the results to the geological map of OMZ.&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;The obtained thematic maps points towards poorer results when using a larger selection of bands - for instance, ASTER bands 1 to 9 (in which bands 1 to 3N were resampled to 30m) -, due to interspersion of different classes, whereas when using band ratio combinations, such as 4/2 and 6/(5+7) (ASTER), the produced map successfully classifies the major geological features present in the region, with increased sharpness between contacts with a higher number of classes.&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;Results show that K-means, when used under the correct conditions and parameters, has the potential for lithological and soil mapping through image classification, both for satellite and drone imagery.&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;Future work will focus on the integration of a pre-processing step for band selection using ML techniques, such as through Principal Component Analysis, Minimum Noise Fraction and Random Forest.&amp;lt;/p&amp;gt;
Coherence Tests of Physical Theories

Textbooks show that the low-velocity limit of special relativity is compatible with nonrelativistic mechanics. Analogous relationships hold between general relativity and the Newtonian theory of gravitation, and between quantum mechanics and classical physics. This work shows that this approach can be extended and yield coherence tests of additional theories. It provides a few examples that show the effectiveness of this approach and demonstrate inconsistent points of some mainstream physical ideas. Furthermore, other well-established physical principles can be utilized for this end. Unfortunately, a scientific work that undertakes this assignment can hardly be found in the current mainstream literature. Several cases are discussed in detail. The results show inconsistencies of fundamental standard model theories, such as quantum chromodynamics and the electroweak theory. Inconsistencies are also proved for the Majorana neutrino and the Proca theory of a massive photon.
Brain tumor visualization for magnetic resonance images using modified shape-based interpolation method

&lt;span&gt;3D visualization plays an essential role in medical diagnosis and setting treatment plans especially for brain cancer. There have been many attempts for brain tumor reconstruction and visualization using various techniques. However, this problem is still considered unsolved as more accurate results are needed in this critical field. In this paper, a sequence of 2D slices of brain magnetic resonance Images was used to reconstruct a 3D model for the brain tumor. The images were automatically segmented using a wavelet multi-resolution expectation maximization algorithm. Then, the inter-slice gaps were interpolated using the proposed modified shape-based interpolation method. The method involves three main steps; transferring the binary tumor images to distance images using a suitable distance function, interpolating the distance images using cubic spline interpolation and thresholding the interpolated values to get the reconstructed slices. The final tumor is then visualized as a 3D isosurface. We evaluated the proposed method by removing an original slice from the input images and interpolating it, the results outperform the original shape-based interpolation method by an average of 3% reaching 99% of accuracy for some slice images.&lt;/span&gt;
IMPROVING STUDENTS WRITING SKILL BY COLLABORATIVE WRITING FOR STUDENTS OF XI IPA 2 IN SMA NEGERI 4 KEDIRI

Studies on collaborative writing have proven its effectiveness for improving student's writing performance. However, further exploration is needed on how this method is applied to different writing genres. This research attempts to investigate the result of students’ writing ability by using of collaborative writing. It also describes the implementation as well as the students’ response in using this technique. The subjects were the eleventh graders of SMAN 4 Kediri. The type of this research is a classroom action research. There were two cycles, each of which consisted of three meetings and ended with post-test to measure the improvement of the students’ writing ability. The data were collected by using observation lists, questionnaire, documentation, and writing test. The result showed that all of the students had passed the passing grade. In addition, they stated that they felt happy during the process of writing collaboratively as it was easier for them to compose a text collaboratively with their friends. The finding implied that writing teacher should focus on teaching and learning strategies not only focusing on the transfer of writing concepts. Therefore, collaborative narrative writing is an appropriate technique to be used in improving the students’ writing ability.
Enabling our libraries for continuation of services during pandemic like situation

Purpose: A tiny virus can be a threat to the entire World it could not be believed ever before, but the COVID -19 has given a clear message that we should prepare for the pandemic like situations to the coming days. Library is the most reliable source of information which should remain uninterrupted to provide “right information to the right user, at the right time”. To continue the library services we need to re think our entire system and enabling our library accessible and ready for providing services following alternative ways and Standard Operating Protocols (SOP) set by the international bodies. Methodology: The present study is a descriptive research using Goggle Survey to collect primary data from the respondent. The study population is the whole population of degree colleges of Barak Valley including North Cachar districts of Assam. Findings: 59% libraries took necessary step to subscribe e-resources, 18.2% are going to install disinfected machines, 59.1% suggested to provide adequate fund for necessary preparation to fight with Covid like situation in future. Originality: This is an original research works conducted using Goggle Survey by the researcher in the degree colleges at Barak Valley, Assam.
Interactive Learning through the Usage of Java Scripting

Technology has an essential part in the education and social growth for the youth of today.Children are increasingly devoted to video games, cd-roms, and the World Wide Web.Playing a game is the most common way for a child to develop mentally.Distinguishing colors and reading the color name is an important part of a child's development.With the use of Java Scripting a small program is designed for children to learn their colors and names.An object oriented program was designed and implemented using Java to interact with children to select a color and spell out its name.The program opens a window with the menus: File, Edit, and Let's Play.The File menu allows the child to quit the game at any given time.The Edit menu allows a child to clear the background for a different random color.The Let's Play menu allows a new game to start.As the Let's Play menu is clicked the program displays four buttons with four random colors out of a total of six colors which are: red, orange, yellow, green, blue, and purple.The input of the program is a click on one of the four colored button.As the button is clicked, the background is changed to the color of the button and its name is spelled in big for the child to learn.The button colors will change randomly each time a new game is started.