Reviewerly/exHarmony huggingface dataset:
sOCRates - a post-OCR text correction method

A significant portion of the textual information of interest to an organization is stored in PDF files that should be converted into plain text before their contents can be processed by an information retrieval or text mining system. When the PDF documents consist of scanned documents, optical character recognition (OCR) is typically used to extract the textual contents. OCR errors can have a negative impact on the quality of information retrieval systems since the terms in the query will not match incorrectly extracted terms in the documents. This work introduces sOCRates, a post-OCR text correction method that relies on contextual word embeddings and on a classifier that uses format, semantic, and syntactic features. Our experimental evaluation on a test collection in Portuguese showed that sOCRates can accurately correct errors and improve retrieval results.
Exploration Targeting of REE Deposits in NE India Using Fuzzy Inference Systems

Earth and Space Science Open Archive Presented WorkOpen AccessYou are viewing the latest version by default [v1]Exploration Targeting of REE Deposits in NE India Using Fuzzy Inference SystemsAuthorsMalcolmAranhaiDAlokPorwalIgnacioGonzález-ÁlvarezSee all authors Malcolm AranhaiDCorresponding Author• Submitting AuthorIndian Institute of Technology BombayiDhttps://orcid.org/0000-0002-0854-3515view email addressThe email was not providedcopy email addressAlok PorwalIndian Institute of Technology Bombayview email addressThe email was not providedcopy email addressIgnacio González-ÁlvarezCSIRO Mineral Resourcesview email addressThe email was not providedcopy email address
Intelligent OPC Building Information Management System Based on IoT

Abstract With the rapid development of artificial intelligence, computers and Internet of Things technologies, building intelligence is becoming more and more popular. However, as the various functional subsystems and equipment of intelligent buildings are connected to each other, the traditional management system needs to monitor and modulate more and more programs, which will have a great impact on the interoperability of the subsystems. Therefore, a more complete and powerful management system is needed. OPC provides a unified standard that can effectively solve this problem. Therefore, the purpose of this article is to design an intelligent OPC building information management system based on the Internet of Things. This article first summarizes the development history and status quo of OPC technology, and then extends the design principles of building information management system based on OPC. Based on its design principles, a detailed analysis of the various subsystems of the building information management system, such as fire protection, intrusion prevention, monitoring, access control, and central air conditioning, is carried out. This article systematically explained the application of PID in the building information management system. And use comparative analysis method, observation method and other research forms to conduct experimental research on the intelligent OPC building information management system based on computer Internet of things. The research shows that compared with the traditional building management system, the intelligent OPC-based building management system researched in this paper can transmit information faster and have higher accuracy.
A Study On Usage of Smartphones Among College Students

A Smartphone is cellular device that integrate the computer and its features which is not originally associated with telephone operating system such as Internet connection, mobilebrowser, ability to sync more than one email account to a device, Embedded memory, A hardware or software-based QWERTY keyboard, support for third party applications, Touch screen operation, Wi-Fi, A digital camera, Gaming, GPS and Wireless synchronization with other devices, such as laptop or desktop computers etc.Consumer preferences are subject to their individual tastes and preferences by shifting from traditional handsets to new smart phones across multiple brands by the college students.
Stochastic Partitioning for Variable Selection in Multivariate Mixture of Regression Models

The relative ease with which high-throughput data can be collected on the same sampling units has raised interest in relating high-dimensional data sets. This problem can be framed as a multivariate regression model with one data set treated as a response matrix and the other as a covariate matrix. The high-dimensionality of both the response and covariate matrices along with the complex correlation structures within each raises statistical challenges. Here, we review a stochastic partitioning method that addresses this problem by fitting a mixture of regression models with variable selection, thereby uncovering in a unified manner group structures and key relationships between the data sets. The problem of variable selection in this context poses added difficulties compared to standard regression settings, as the membership of objects into different components has to be learned simultaneously with the search of component-specific predictors. We emphasize the practical applicability of the method using real data and illustrate features of the associated R package SPaVS.
9. Designing for Persuasion through Embodied Experiences in Virtual Reality

Embodied experiences in virtual reality (VR) involves the reproduction of sufficiently realistic sensory information so that users are able to see, hear, and feel experiences as if they are going through them at the moment.A growing body of literature evinces that the effects of these virtual experiences carry over into the physical world to impact attitudes and behaviors in the physical world.Underlying mechanisms of embodied experiences that produce these outcomes are discussed in the context of media affordances or interactions between novel attributes of VR and user perceptions of them.Design implications to maximize persuasive effects are examined and illustrated with case studies.Finally, the limitations of embodied experiences are considered using the efficiency framework.
Strain accuracy enhancement of stereo digital image correlation for object deformation with large rotations

Abstract We propose a full-field stereo digital image correlation (DIC) strain measurement method to overcome the poor accuracy while measuring the deformation under large rotations. Such a drawback comes from the failure to consider rotation movements of the deformed objects when calculating their strain values. To address this, we first used a DIC matching algorithm combined with a rotated subset and feature point detection to obtain displacement fields. By employing a singular value decomposition method, we can then calculate rotation matrices of the strain windows before and after deformations. Finally, to eliminate the strain errors caused by rotation, we introduced the rotation matrices into the classical pointwise least squares DIC strain calculation method. Both numerical simulations and experiments are performed, and the accuracy and effectiveness of the proposed method are confirmed by the experimental results.
Soil Movement Monitoring System Based on IoT using Fuzzy Logic

Landslide is one of the disasters that often occurs in several areas in Indonesia, especially in hilly areas, valleys, and volcanoes. Soil conditions in some parts of Indonesia are classified as prone to landslides. The latest data from the Central Statistics Agency related to landslides in 2018 occurred as many as 10,246 events with the highest incidence on the island of Java IoT-based ground motion monitoring using fuzzy logic is a tool that is able to detect ground movements that can trigger landslides. The manufacture of this tool is based on the ig-norance of the community in predicting the occurrence of landslides. To avoid this, an early warning tool is needed in the delivery of information that is easily understood by anyone, especially the public. This tool consists of a Microcontroller, Weather Sensor, Rain Sensor, Ground Movement Sensor, and GSM Shield as well as programs to make it hap-pen. This system was created to provide information to the public directly in land-slide-prone areas. With this early warning system, it is hoped that people who are in landslide-prone loca-tions will know more quickly and can monitor the condition of landslide-prone areas so that they will be more alert to possible dangers that come suddenly, especially fatalities, can be minimized. Through this tool can also be known when the weather is cloudy, raining as well as movement or signs of ground movement, can be monitored and monitored automatically. directly by everyone from mobile phones through "SIPEGERTA" Land Movement System in Wonosalam District, Jombang Regency
Preparing the Eclipse Soundscapes Mobile Application for 2023: Applying Lessons Learned from 2017 to Guide Language Choices that Improve the Accessibility and Inclusiveness of the App’s’s Scientific Content to Make Eclipses More Engaging for Everyone!

Earth and Space Science Open Archive Presented WorkOpen AccessYou are viewing the latest version by default [v1]Preparing the Eclipse Soundscapes Mobile Application for 2023: Applying Lessons Learned from 2017 to Guide Language Choices that Improve the Accessibility and Inclusiveness of the App’s’s Scientific Content to Make Eclipses More Engaging for Everyone!AuthorsMaryKaySeverinoiDHenryWinteriDSee all authors MaryKay SeverinoiDCorresponding Author• Submitting AuthorARISA Lab, L.L.C.iDhttps://orcid.org/0000-0002-2363-7421view email addressThe email was not providedcopy email addressHenry WinteriDARISA Lab, L.L.C.iDhttps://orcid.org/0000-0002-6678-590Xview email addressThe email was not providedcopy email address
Visual Attention Prediction Model Based on Prominence Maps, Machine Learning and Biometric Data

This work is framed in the domain of software engineering. Specifically, it is situated in the subdomain of user interface evaluation. The context of the same comprises the phenomenon of visual attention and its evaluation through indicators that allow evaluating the quality of these interfaces. Specifically, it presents a model for the prediction of visual attention based on saliency maps, machine learning and biometric data. Its objective is to serve as a support to promote the usability of user interfaces. Experiments carried out with the eye tracker by the Institute for Cognitive Sciences at the University of Osnabrück and the University Medical Center in Hamburg-Eppendorf, among which free visualization tasks on user interfaces such as web pages, formed the input with which the model was developed. Its general structure consists of two elements: a convolutional neural network and Guided Grad-CAM (a convolutional layer visualization method). Biometric components were used to train the network: images whose size was set as a function of the foveal radius and the user's distance from the interface. The natural units of information (nats) were used as a measure to evaluate the accuracy of the model.
Professional development training of cadets at military universities

The research appears to be of relevance due to the ongoing modernization of the system of military training. One of its directions is to establish the compatibility of personal and professional qualities of cadets with the model of a modern military specialist. The aim of the research is to carry out a qualitative analysis of the requirements imposed on the modern military by society and the state in order to reveal the essence of the professional development training of cadets. The study hypothesizes that the collective and co-operational nature of professional development training implemented on the basis of a culturological approach to education creates optimal conditions for the professional and personal growth of cadets in the process of their introduction to military culture. The difference between professional training and military training is analyzed. The culturological approach to cadet professional development training is justified as the methodological basis of professional development training. The author proposes an axiological interpretation of the process of professional development training within the framework of the culturological approach. The main aspects of professional development training are briefly described: intellectual, moral, physical, labor. The key principles of professional development training based on the culturological approach are identified: purposefulness, consistency, continuity, professional orientation, patriotic orientation, humanism, and collectivism. The article emphasizes the collective and co-operational nature (polysubjectivity) of professional development training. The author suggests the definition of the “subject of professional development training”. The subjects of professional development training are cadets, officers, teachers, and university cultural organizations. Apparently, the structure of professional development training (its organizational, content and procedural aspects) varies depending on the subject of professional development training. The article concludes that introduction of practices of psychological and pedagogical support of the prospective military into their professional development training can be seen as the way to modernize the system of professional development training at military universities.
DEVELOPMENT OF A LOCATION-BASED MOBILE APPLICATION FOR SMARTPHONES USING OPEN-SOURCE TECHNOLOGIES

Abstract. Smartphones capable of receiving Global Navigation Satellite Systems (GNSS) signals and location-based mobile applications have been finding new usage areas day by day. The most popular mobile applications have become a part of our life in many ways, especially in spatial data collection, logistics, sports activities, routing, navigation, information exchange, shopping, emergencies and entertainment. The location-based feature has been the characteristic of the apps realized in real-time or near real-time. Within the scope of this study, a mobile application that can be used on smartphones with the Android operating system and is designed to save time and location information during the desired time and sampling interval and send it to the desired e-mail address is presented. The development stages of this location-based mobile application developed using open-source codes and its use on smartphones were shown. The usage areas of the application and a realized test study were explained.
Far field calculation of distorted Gaussian beams

Far field calculations of beams, such as laser beams, are often applied in optical engineering. Current beam propagation methods fail in certain range parameters due to high storage requirements of the algorithms. This paper presents a new beam propagation method for far field calculations of distorted Gaussian beams in a homogeneous medium including optical elements, such as lenses. The method works even in the case of a large distance from the observation plane to the beam waist and can be applied to larger divergence angles. This new simulation technique factors out the phase of the Gaussian TEM00 beam and solves the resulting partial differential equation by suitable finite difference or finite element discretization methods.
Reading Certainty across Sources

Witness testimony provides the first draft of history and requires a kind of reading that connects descriptions of events from many perspectives and sources. This chapter examines one critical step in that connective process, namely, how to assess a speaker's certainty about the events they describe. By surveying a group of approximately 300 readers and their approximately 28,000 decisions about speaker certainty, this chapter explores how readers may think about factual and counterfactual statements, and how they interpret the certainty with which a witness makes their statements. Ultimately, this chapter argues that readers of collections of witness testimony were more likely to agree about event descriptions when those providing the description were certain, and that readers' abilities to accept gradations of certainty were better when a witness described factual, rather than counterfactual or negated events. These findings lead to a suggestion for how researchers in natural language processing could better model the question of speaker certainty, at least when dealing with the kind of narrative nonfiction one finds in witness testimony.
Meta-learning for fake news detection surrounding the Syrian war: An interview with co-author Roaa Al Feel

Roaa Al Feel, an early-career researcher, discusses her passion for using data science for social good. She uses data to reflect living conditions of society, and in the paper published with Patterns in November, the team explores machine learning techniques for the detection of fake news around the Syrian war, demonstrating the efficacy of meta-learning techniques when tackling datasets of a modest size.
The Method of Teaching Children in English and in Swimming with Smart Virtual Using 4.0 Simulation Technology

Children from 0-10 age are so young and need proper teaching methods. In this study we suggest both teaching methods of English for children, and teaching them to drowning is smart virtual using 4.0 simulation technology for children. Our study mainly use qualitative analysis, synthesis and inductive methods, combined with explanatory methods and dialectical materialism methods. Research results show us that we need to describe a process for teaching english with good teaching method, as well as teach them how to swim because Swimming helps children develop in the best way both intellectually and physically. Through creative teaching method, teachers and parents can help their children to communicate better and support them via learning by playing method. Last but not least, this study can be developed in order to enhance other life skills of our children.
THE RELATIONSHIP BETWEEN THE DEVELOPMENT OF THE FINANCIAL SECTOR AND THE ECONOMIC GROWTH IN THE REPUBLIC OF NORTH MACEDONIA

According to economic theory, the money supply positively affects economic growth, especially in the short run. Additionally, for small and open economies, the openness of the economy plays a crucial role in economic growth. Therefore, the subject of this paper is the impact of the money supply, measured through the broad money aggregate (M3), and trade openness of the country on the economic growth in North Macedonia. M3 aggregate is taken as an indicator of the financial sector development, whereas on the other hand, the trade-to-GDP ratio is an indicator for the openness of the economy. The research is employing the Vector Autoregression (VAR) model, and quarterly data for the period 1995-2019 are used. As opposed to the economic theory, the results show the absence of a long-run relationship between GDP, broad money, and trade openness in North Macedonia for the observed period. Also, in the short run, M3 and trade openness have a significant positive impact on GDP. Additionally, there is no noticeable time gap in the above relationships. Namely, the impact of broad money and trade openness on GDP in North Macedonia is not much stronger after a significant time lag from the impact in the first year. This put into question the capability of the monetary policy as a tool of the broader macroeconomic policy to shift the aggregate demand curve upwards and boost economic activity.
The Use of Technological Gadgets by English Language Students: A Study at University Level in Southern Punjab Pakistan

Using technological gadgets for the learning process is now important. Information technology playsan important role in the study of English as a foreign language. The current study determines theadvantages and ease of use of technological devices offered by South Punjab Universities as teachingaids. The study also looked at student fulfillment and emphasized the difficulties met by English-speaking pupils in using these means. It was a blended technique study in which a survey was appliedto collect the data. Members were 170 male and female understudies from the Faculty of English andTranslation Studies. The discoveries show that technical gadgets are exceptionally helpful and adaptableto utilize. The understudies were happy with the innovative hardware. Unexpectedly, a few understudiesannounced encountering various issues, like web issues, absence of abilities, and absence of directionprograms. Ends and suggestions on the utilization of these assets are given.
AN EVALUATION OF METEOROLOGICAL DROUGHT IN DAK LAK PROVINCE

Assessment of the degree of meteorological drought in Dak Lak province is carried out using the SPI index and the water balance index K in the period 1985 - 2019. The results show that: According to the SPI index, drought tends to occur more at the time of transition from the dry season to the rainy season, during the rainy season, and from the time of transition from the rainy season to the dry season. The K-index in the period 1985 - 2019 showed there was a dry period at the beginning of the year from January to April. The anomalous drought factor plays a very important role because its large influence can cause damages, and allows assessing the variability of rainfall and the impact of climate change on the region. The study and evaluation of meteorological drought have practical significance, supporting managers in making policies on water resource management, ensuring sustainable economic and social development in the context of global climate change.
Design and Implementation of Multi-tank Wireless Control Automatic Cupping Device

Traditional cupping operation pressure, tempe-rature, time and many other factors have great uncertainty, and the existing automatic cupping device has a single function and only supports a single tank. So in this paper we designed an intelligent multi-tank automatic cupping device, which can achieve automatic suction, pressure control, timing, wireless control and other functions. This design is mainly based on the automatic vacuum cupping device, realizes the automatic control of cupping pressure of 2–4 tanks at the same time through Arduino UNO microcontroller, and realizes the interactive communication between cupping device and mobile APP through HC-05 Bluetooth. The cupping parameters can be set on the APP to control cupping. This design combines the characteristics of traditional Chinese medicine cupping, modern automation technology and wireless communication technology to make cupping operation more convenient and more in line with the market demand of home cupping.
A stylometric investigation across genders and individual authors based on a specialized Vietnamese corpus

Recently, there has been renewed interest in stylometry, a branch of forensic linguistics evaluating linguistic features which affect an author’s writing style. However, no known empirical research has attempted to explore relationships between word-level features in Vietnamese texts and writing style, both across genders and individual authors. Using two series of correspondence analysis, the current study thus seeks to analyze the most significant linguistic features across genders and individual authors based on a rich-annotated specialized Vietnamese corpus. In terms of genders, the most significant associations on writing style were identified for the combination of personal pronouns and negative words, whereas the seperated feature sets have less discriminating ability. For individual authors, negation words demonstrate their significant associations, and personal pronouns again have insignificant relationships with individual writing style. As a result of these investigations, suggestions were identified for future research.