Reviewerly/exHarmony huggingface dataset:
Penggunaan Media Motion Graphic Dalam Pembelajaran Tematik Secara Daring Kelas V Tema 9 Sub Tema 2 Pembelajaran 1

The purpose of this study is to describe: (1) The use of Motion Graphic media in online thematic learning for class V theme 9 sub-theme 2 learning 1, (2) the constraints in using motion graphic media in online thematic learning class V theme 9 sub theme 2 learning 1 , (3) The solution to the problem is using motion graphic media in online thematic learning for class V theme 9 sub theme 2 learning 1. This type of research is qualitative research. The method is descriptive qualitative. This research was conducted at SD N 1 Kanoman. Data collection techniques are interview, observation, documentation. Data validity using source triangulation. Meanwhile, the data analysis technique uses data reduction, data presentation, and drawing conclusions. The results of this study are the use of motion graphic media using the WA application intermediary, then the obstacles obtained are (1) the teacher cannot create the media independently, (2) students who do not have cellphones, (3) students' internet networks are not fast enough, the solution of These obstacles are (1) the teacher participates in an empowerment seminar for making online media, (2) other learning methods such as home visits are carried out, (3) can download learning videos first so that they are more comfortable watching given the flexible learning time.
RECIPE4U: An Android Application Using Web Scraping

Cooking is a daily activity that some people do. To do so, some people might need to refer to recipes. However, it is sometimes difficult and time consuming to find the right recipe, especially local Malaysian dishes. Although there are solutions such as apps to quickly search for recipes were developed, existing apps and solutions seem to lack the feature to suggest recipes to the user based on their preferred ingredients. This project aims to develop a new mobile recipe application, called Recipe4U using web scraping framework where this application is expected to suggest recipes based on the user’s preferred ingredients. The app will include Malaysian dishes recipe with both English and Malay language selection. The project implemented regular expression to search the ingredients based on the keywords entered by the user. This project uses Android Mobile Application with Java language and a web scraping application scripts in R language and SQLite database for recommender function. The user acceptance test results proved that this project is well accepted by the end users. A survey was conducted on app’s acceptance test with 83 respondents, to obtain their feedback on the app’s functionality and usability. Based on the survey, 89% of the respondents are very satisfied with the overall function of the app. For future work, more sources of the recipes will be added, recipe sharing, and bookmark feature will be implemented to improve the usability of the app.
Single-pixel Visual Cryptography

Two novel visual cryptography (VC) schemes are proposed by combining VC with single-pixel imaging (SPI) for the first time. VC can be optically implemented in both object images and illumination patterns.
Distribution of Heavy Minerals in Beach Sands of Seme and Yovoyan, Badagry, Lagos, South West, Nigeria: Implication For Sediment Maturity on The Beaches

Cross-shore beach samples from 50 locations at Seme and Yovoyan, Badagry Lagos, were studied to ascertain the variations in grain size distributions along beach profiles perpendicular to the shore. Heavy mineral abundance was also carried out to determine mineral concentartions between sampling Stations on each transect line. Sediment samples were recovered from backstake, berm, slope, water line and control (dark spot) at each Station. The grain size distribution within the beaches is of medium to coarse grain, moderately well sorted which shows transportation under fluvial and tidally influenced medium to high energy conditions. The commonly observed heavy mineral assemblages in the sediments are opaque, rutile, zircon, kyanite, epidote, staurolite, tourmaline and hornblende. The proportion of the heavy mineral fraction was found to be higher in berm and control samples. The distribution of the heavy mineral showed that there is no systematic variation along-shore of heavy mineral species of higher specific gravity but difference in their relative abundance. The mineral species with higher densities such as rutile and staurolite were more in the backstake, berm and control samples. Hornblende was not discovered in the samples recovered at the berm, slope, waterline and the control from Yovoyan, it was only found in the sample obtained at the backstake. This might be that it has been altered to epidote. Occurrence of zircon, tourmaline and rutile in sediment suggest acid igneous, reworked sedimentary and metamorphic rock origin coupled with the presence and low percentage of staurolite, epidote and kyanite which show that the sediment from Seme and Yovoyan beaches could have been principally formed from acid igneous rock, reworked sedimentary rock with minor contribution from medium to high grade metamorphic rock. The ZTR index revealed that the sediments from the backstake and berm are mineralogically more matured.
The Winner Takes It All

This chapter reviews the general principles that are necessary for a neural system to make decisions. A glance at the literature shows that the simplest system to obtain an imbalance between two populations of neurons subjected to the same activation consists of two interconnected populations of inhibitory neurons. These two populations exert lateral inhibition on each other. In order for a differential response to emerge, noise is necessary. Synaptic noise is considered the main source of noise in the nervous system. The chapter then goes on to look at positive feedback. It also studies the learning processes in the nervous system and explores neural plasticity rules, particularly the Hebbian learning rule.
The Start of the “New Time” Journalist Real Return to Contemporary Readers: First Volume of the “Letters to the Fellow Men” by M.O. Menshikiv

The article is devoted to the history of reprints of M. O. Menshikov’s articles during his work in the “New Time” journal. The author analyzes the content of the first volume of the draft reprint of the complete collection of “Letters to the Fellow Men” by M. O. Menshikov (St. Petersburg). The article shows the importance of this project for the possibility of complete recreation of the image of this publicist, ambiguously perceived by both contemporaries and descendants, as well as for gaining knowledge about the processes in the domestic and world history and culture in the beginning of the twentieth century.
Software Engineering Lineage: How Do You Know What You Know?

Lineage extends beyond family ancestry to include academic and professional heritage. The IEEE Computer Society should build a database that tracks the pedigrees of software engineers and related practitioners.
Acoustics of the French Horn

This study explored the French horn and its various properties that contribute to its unique timbre. With an emphasis on the role of the right hand, the variables studied were: type of material, manufacturer, right hand position with respect to the bell, the range of notes, and player. The project mainly included experiments at Loyola University Chicago and was supported using Northwestern University's anechoic chamber. Horns are cylindrical-conical hybrids and are able to produce many harmonics, creating a rich sound. The right hand in the bell can be used for quick intonation adjustments and its placement has large effects on the timbre. Our analysis determined the variable that most contributed to the unique sound was the right hand position, while the type of horn (a combination of material and manufacturer) and the range of notes played also had moderate effects on timbre. We will present the theory surrounding the horn's shape and various components, experimental procedure, and analysis of our results. The significance of the results to the horn player will be discussed.
Об’єкт національного надбання Наукової бібліотеки Чернівецького національного університету імені Юрія Федьковича – роль і значення

Abstract: The article is devoted to the complex analysis of the work performed and the prospects for further development of the Scientific Library of the Chernivtsi National University in modern conditions in order to facilitate the information of the CHNU in the world scientific and informational context through qualitative information support, service, comfortable physical and virtual space.
Pakcoy Smart Farming Monitoring System Based on Progressive Web Application

farming activities are increasingly varied and varied in planting techniques to theplants planted because the general public also makes it a hobby. It becomes exciting when aproblem arises where the manual method of treating plants is less effective and efficient sothat the crop yields are not as expected. The research entitled Pakcoy Smart FarmingMonitoring System Based on Smartphone Progressive Web Application has a problemformulation of how to remotely manage and care for plants anytime and anywhere so that theplants' quality can be maintained consistently to provide the expected results. This studyaimed to design a system called Smart Farming to assist the community in caring for plants.This Smart Farming is based on IoT and built using an Arduino microcontroller, soilmoisture, and the C programming language, which is then combined with a Progressive WebApplication based application assisted by solar panels as its energy source. The applicationto be built is an application available for the Android and IOS platforms.
Vec2Sent: Probing Sentence Embeddings with Natural Language Generation

We introspect black-box sentence embeddings by conditionally generating from them with the objective to retrieve the underlying discrete sentence. We perceive of this as a new unsupervised probing task and show that it correlates well with downstream task performance. We also illustrate how the language generated from different encoders differs. We apply our approach to generate sentence analogies from sentence embeddings.
IMPLEMENTATION OF THE CONVOLUTIONAL NEURAL NETWORK METHOD FOR PREDICTING LQ45 STOCK PRICES

Stock are securities of ownership of a company. Investments in the stock market on average can produce a return rate of 10-30% per year, this amount is about two to three times higher than the rate of return on deposits or savings in banks which are only 5-10 % every year. One problem is the stock price is fluctuating or changing due to certain factors. This study compares several window size data with different amounts of data, aiming to find window size data with a more accurate amount of data for stock price predictions. Convolutional neural network algorithm with window size data of 7 days, 14 days, 21 days and 28 days in the amount of data 1 year and 2 years for stock price predictions. The results of this study are the convolutional neural network algorithm with a data window size of 7 days at the amount of data 2 years is more accurate than the window size data and the amount of other data. Because the smallest error result is 0.000201587.
Determination Wart Treatment Method Using Data Mining Technique

Abstract Wart disease is a benign tumor that can grow on all parts of human skin. Although this wart disease belongs to a type of benign tumor, this wart disease can interfere with physical appearance and disturb the psychological sufferers if the infected part of the skin is the area around the face. This wart disease will also be very dangerous if there is infection in vital parts of the body such as the genitals. For treatment or treatment of wart harm, two methods are used: immunotherapy and cryotherapy. However, until now it is still unknown which treatment is better for patients with this wart disease. It has long been known that data mining is a method that is widely used in the health world to obtain valuable knowledge from medical data sets. Data Mining is used to classify and detect early diseases and choose the optimal type of treatment for warts. Data mining is able to find patterns and predict the trends of events. In this study four data mining methods will be used, namely the neural network, naive Bayes, SVM and K-NN. from the results of the study obtained the best method for processing the wart dataset is neural network
Developing and maintaining the <i>Phonological CorpusTools</i> software

Phonological CorpusTools (http://phonologicalcorpustools.github.io/CorpusTools/) is a free, open-source, cross-platform software written in Python 3 that comes with a graphical user interface. It is designed to facilitate the analysis of phonological patterns in transcribed data, calculating characteristics such as phonotactic probability, functional load, neighbourhood density, informativity, and degree of complementary distribution. Having such a tool helps increase the reproducibility of quantitative phonological corpus analysis. We discuss some of the challenges we have encountered in developing this software (and its companion, Sign Language Phonetic Annotator &amp; Analyzer(SLP-AA)), including (1) the difficulty of providing long-term, ongoing development and support in a world of changing technologies and (2) the difficulty of making a software tool that is easily accessible to users with a wide variety of starting data types. Having centralized, staffed, and funded repositories (cf. Alveo: http://alveo.edu.au/) would help mitigate some of the practical difficulties of sharing, distributing, and maintaining such resources. We also suggest that when developing specific tools, it is important to invest considerable time and resources in the input/output interface, which in turn facilitates both the uploading of data by disparate users and the workflow of transferring data from one application to another.
SISTEM PAKAR DIAGNOSIS PENYAKIT TERNAK SAPI MENGGUNAKAN METODE FORWARD CHAINING BERBASIS WEBSITE RESPONSIF: EXPERT SYSTEM FOR DIAGNOSING CATTLE DISEASES USING FORWARD CHAINING METHOD BASED ON RESPONSIVE WEBSITE

The large number of cattle in the Banyumas Regency is not matched by the number of veterinarians. Fisheries and Animal Husbandry Service (Dinkanak) of Banyumas Regency Note 961 cases of sick cows with 39 types of cow disease in 2016, plus the cost of bringing in doctors to treat sick cows is still expensive for farmers. To overcome this problem, this study aims to create a responsive expert website for cow disease diagnosis using the Forward Chaining method to help cattle farmers identify the disease of cattle and its treatment. For the development of expert systems this research uses the RAD (Rapid Application Development) method. To ensure the quality of the expert system, it was tested with three approaches (1) Blackbox testing for functional systems whose results were all functional systems running well (2) testing Validation comparing diagnosis results of Expert Systems with Doctors where expert system diagnosis accuracy was 85% (3) User acceptance testing to test the usefulness and quality of information by questionnaire techniques from a total of 326 respondents, 76% agreed that the application can help diagnose cow disease and the expert system is quite easy to operate.
WA Notify on your smartphone is 'latest tool' in fight against pandemic

Governor Jay Inslee said more than 200,000 people in Washington enrolled in WA Notify, the statewide exposure notification system for smartphones.
Multi-Faceted Trust Based Recommendation System

Recommendation systems play a decisive role in the choices we make on the internet. They seek to tailor decisions to a user. This makes trust a very important factor in recommendation systems, since it is believed that users are similar to the people that they trust, and hence will make similar choices to those users. Trust and its effects on the choices people make have been widely studied in the context of collaborative recommendation systems. It is understood that trust is not a single-faceted entity but can vary contextually. Recent research in the domain of trust based recommendation systems has shown that taking into account the facets of trust greatly improves the quality of recommendations (Mauro et al., 2019; Fang et al., 2015). We propose a recommendation system that takes multiple facets of trust into account while looking at how suitable a product might be for a particular user. The architecture proposed for this Multi-Faceted Trust Based Recommender (MFTBR) allows for extensibility - new facets of trust can be added without much effort - and dynamicity - trust facets are not weighed arbitrarily. Instead, the weights are optimised for the best result via a neural network. The trust facets considered here are local, global and category-wise trust. MFTBR performs significantly better than basic collaborative filtering - U2UCF (C. Desrosiers, 2011), as well as some established models in the domain of social and trust based recommendation systems - MTR (Mauro et al., 2019) and SocialFD (Yu et al., 2017). Thus, our model provides a better approximation of real-life recommendations, taking into account not only the impact of trust on recommendation, but the context in which trust is established.
Development of Kahoot Evaluation Tool Based on Mobile Learning in Economic Lessons for 10 Graders of SMA Negeri Taruna Nala Jawa Timur

The purpose of this research and development is to develop Kahoot evaluation tools based on mobile learning in economy class X subjects of Taruna Nala High School in East Java. The research method used is the method of research development (research development) according to Borg & Gall with 7 stages consisting of 7 steps that have been approved. The results of this study indicate that the Kahoot evaluation method based on Mobile Learning that was developed included in the criteria suitable for use in the learning process with a total percentage of 90.33%.
Mediating Effect of JIT Systems on The Relationship Between HRM Practices and Operational Performance of Jordanian Companies..

The purpose of this study is to examine the role of Human Resources Management (HRM) practices in predicting firms’ operational performance as well as analyze the mediating effects of Just in Time (JIT) systems on the relationship between human resources management (HRM) practices and operational performance. In order to achieve this objective, the following analyses were used: multiple regression analysis was used to assess the direct impact of HRM practices on operational performance; hierarchical multiple regression analysis was used to assess the mediating effect of JIT on the relationship between HRM practices and operational performance. The results of data analyses show that the following HRM practices have a significant effect on the operational performance of organizations, whether JIT is a mediator or not: manufacturing and human resources fit team activities, and interaction facilitation. The other studied HRM practices were not found to have a significant effect on operational performance.
Apollo: Twitter stream analyzer of trending hashtags: A case-study of #COVID-19

This poster introduces a new tool named Apollo which an- alyzes textual information in the geo-tagged twitter streams of trending hashtags using sliding time window It performs sentiment analysis as well as emotion detection of the opinions of the masses about a trend- ing world wide topic such as #COVID-19, #ClimateChange, #Black- LivesMatter, etc based on Knowledge Graphs Apollo currently pro- vides an interactive visualization of the analysis of the trending hashtag #COVID-19 © 2020 CEUR-WS All rights reserved
Can Cats Pick Up Chainsaws?

Local pragmatic anomalies arise when we struggle to incorporate certain utterances into the context of our real world knowledge. For example, The cat picked up the chainsaw (Filik &amp; Leuthold 2008) is anomalous with our world knowledge; the utterance is discourse independent and instead relies on our understanding that cats lack opposable thumbs or mechanistic know-how. Yet, in an alternate world, like Tom and Jerry, the above scenario would be perfectly plausible. If we hear an utterance like The cat picked up the chainsaw in a cartoon context, can we avoid the anomaly? And if we can, to what processing cost? And how much context would be required to override our background assumptions? To address these questions regarding the incorporation of context and real world knowledge in assessing our understanding of an utterance, an experiment using the G-maze (i.e. grammaticality maze) task was conducted (Forster et al. 2009). In the maze task, participants see two words simultaneously displayed on a computer screen. Employing their working memory, they decide via keyboard response which word in the set represents the best grammatical fit for continuing the sentence; decision times are recorded. After reading a one-sentence context that was either neutral in its pragmatic content or at odds with world knowledge, participants were presented with a maze sentence which related to the context. Interestingly, results show that participants were faster to respond (by 33 ms) to anomalous scenarios than they were to neutral scenarios. This finding of pragmatic anomalies being processed faster than information that aligns with world knowledge has significant ramifications for current pragmatic frameworks.
SURVEY AND ADJUSTMENT OF CONTROLLER OF A GRAPH-ANALYTICAL METHOD TO A SECOND ORDER OBJECT

This paper proposes to adjust the controller using a graph-analytical method in the complex plane. The various configurations regarding the location of zeros and poles to those of the object are also considered. Adjusted controllers are surveyed, such as they are integrated into control systems, and some of the quality indicators of an automatic control system are analyzed.
An Anti-contiguity Approach to Nupe Interrogative Distribution

This chapter furnishes additional support for the Anti-contiguity theory of <italic>wh</italic>- prosody by demonstrating that it derives two surprising and mysterious asymmetries of Nupe <italic>wh</italic>- syntax. The first asymmetry concerns the fact that in embedded clauses the structurally lowest <italic>wh</italic>- item in a multiple <italic>wh</italic>- question may not appear in-situ. The second asymmetry concerns the availability of embedded non-interrogative focus and the impossibility of embedded interrogative focus. Both of these asymmetries are argued to be explainable in terms of the Anti-contiguity ban on contiguous <italic>wh</italic>- phrasing with overt C at the Intonational Phrase level, given that overt embedded C does not introduce an Intonational Phrase boundary in Nupe, as in Wasa and Asante Twi. As a consequence, no Intonational Phrase boundary insulates focused embedded <italic>wh</italic>- items from overt embedding complementizers, therefore running afoul of the Anti-contiguity prohibition.
Statement on reopening of leisure facilities from Cllr Luthfur Rahman OBE

Our leisure facilities will reopen to the public on Wednesday 2 December and we will provide further details as soon as guidance is issued to us by government.