Reviewerly/exHarmony huggingface dataset:
Social Media Sentiment Analysis - Twitter

This project gives a method for sentiment analysis specifically aimed to work withTwitter data (tweets), to consider their length, structure and specific language. Themethod employed makes it able to process tweets in near real time. A large amount ofonline data, rich web resources are highly unstructured plus such natural language arenot resolvable via machine straightforwardly. The increased demand to captureopinions of the public concerning sales of a product has led to study of the fieldsentiment analysis and opinion mining. Opinion refers to the extraction of lines in rawdata which expresses an opinion. Sentiment analysis classifies polarity of extractedsentiments into positive, negative and neutral. This type of analysis commonly appliesto analyze the service or product reviews, voice of the purchaser, survey responsesfrom social media feeds and online to analyze the attitude of the client. A dashboardhas been created to know the opinion regarding sales of the product whether it hasmore positive, negative or neutral number. This project will help the product owner toknow opinion and thoughts of the social media user about their product.
Conducting online experimental research in Applied Linguistics: What do you need to know?

The year 2020 has been a challenging year for many people, including researchers. With the rampant spread of Covid-19, researchers have to think of ways to carry on with their work with limited and/or no face-to-face data collection. In this poster presentation, I will be sharing information on some of the things that researchers need to consider before, during and after carrying out online data collection. What are the advantages and disadvantages of online data collection? What tools are available to use? When collecting behavioural data, e.g. accuracy of response and/or response times, are the data collected through online method reliable? Can you provide prompt feedback to participants? What are other things researchers need to keep in mind as they run their experiments online? I will also be sharing some of the lessons I learnt during the course of developing the materials for my study, as well as during data collection stage. This poster will not only describe some benefits and challenges of conducting linguistic research via the internet but also offers recommendations to both researchers and research faculty for dealing with the challenges.
PENGEMBANGAN MEDIA DIGITAL KARTU DOMINO RANTAI MAKANAN (DORAMA) PADA PEMBELAJARAN IPA DI SEKOLAH DASAR

This study aims to develop the Dominoes card game media in the science learning of food chain material for class V SD in the form of an application and also to determine the feasibility of the Food Chain Dominoes card game media. The research method used is Research and Development or R&amp;D. The research model used is ADDIE. Data collection instruments in the form of observations, interviews, expert test questionnaires and student response questionnaires. The expert test process is carried out to material experts, media experts and linguists. The results of the material expert test validation are 100% so it can be said to be "very feasible", the media expert test validation results are 85.5% so it can be said to be "very feasible", and the linguist test validation results are 91.6% and are said to be "very feasible".It can be averaged that the three expert test scores obtained a value of 92.3% and can be said to be "very feasible”. The student response test could on a one-to-one test consisting of 5 students who live close to the researcher. The results of the one to one test to 5 students resulted in an average of 93.5% which can be said to be a "very feasible" product. This shows that the DORAMA Card game media is feasible to be used as a medium in learning Natural Science material for Food Chain.
Single Axis Solar Tracking System and Dual Axis Solar Tracking System

Dual different types first is single-axis tracing and another one is dual-axis solar monitoring.The emergence of mankind, particularly solar energy, is renewable energy. The primary energy source falls under solar power, which provides an infinite energy supply for everyone. The electricity yielded by the solar-panel is clean and green. The throughput of the solar-panel module has improved enormously in the last period, with 80% of the deployment of all solar-panels modules over the last decade. The power production often rises as modern technology develops.
The Quantum What? Advantage, Utopia or Threat?

Quantum computing is at the top of the agenda for several countries. They acknowledge the strategic importance of it. They invest significant public funds in the development of this technology. While some show unconditional enthusiasm, others are more moderate and even very critical with respect to the promises of quantum computing. It is not easy to navigate for a non-expert in the field. Does quantum computing have a real advantage or is it rather a utopia? Moreover, is quantum computing, as they say, a real threat to computer and Internet security? This article takes the point of view of non-experts and attempts to shed light on these questions. In turn, we consider quantum computing as an advantage, a utopia, or a security threat. We will briefly look at the applications that we think are the most promising. Then, we review the different efforts made by the participants engaged in the race for the quantum computer. Finally, we try to project ourselves into the future.
Finding an Approximate Mode of a Kernel Density Estimate.

Given points P = {p₁,...,p_n} subset of ℝ^d, how do we find a point x which approximately maximizes the function 1/n ∑_{p_i ∈ P} e^{-‖p_i-x‖²}? In other words, how do we find an approximate mode of a Gaussian kernel density estimate (KDE) of P? Given the power of KDEs in representing probability distributions and other continuous functions, the basic mode finding problem is widely applicable. However, it is poorly understood algorithmically. We provide fast and provably accurate approximation algorithms for mode finding in both the low and high dimensional settings. For low (constant) dimension, our main contribution is a reduction to solving systems of polynomial inequalities. For high dimension, we prove the first dimensionality reduction result for KDE mode finding. The latter result leverages Johnson-Lindenstrauss projection, Kirszbraun’s classic extension theorem, and perhaps surprisingly, the mean-shift heuristic for mode finding. For constant approximation factor these algorithms run in O(n (log n)^{O(d)}) and O(nd + (log n)^{O(log³ n)}), respectively; these are proven more precisely as a (1+e)-approximation guarantee. Furthermore, for the special case of d = 2, we give a combinatorial algorithm running in O(n log² n) time. We empirically demonstrate that the random projection approach and the 2-dimensional algorithm improves over the state-of-the-art mode-finding heuristics.
A Novel Distributed Multimodality Interaction Framework for Augmented Reality Objects Using Internet of Things

Augmented reality is the art of rendering intelligent computer-generated content in digital visual perception of a user. A camera input device continually captures real world scene, which is analyzed by a context extraction program. The rendering program then renders artificial objects into the scene based on this extra content. User can interact with such computer-generated content. Resolving the interaction in real time when the interaction is generated from multiple modalities and combining them with context is a huge challenge in Augmented reality and other mixed reality programs. Several past techniques have been proposed towards this direction, but they are more specific to perception, limited context and interaction modalities. In this work we propose a novel framework for interacting with AR objects over IoT using multimodal interaction and show that such a framework can be extended to wide range of other perceptual frameworks like gaming and virtual reality. We show that out method is more robust and fast in comparison to traditional IP command-based techniques. The paper presents method from developing to deploying a 3D human like character in artificial scenes and demonstrate user interaction with this with different modalities. A complete framework for Unity 3D has been developed with IoT enabled interaction which can be extended to other games and artificial context aware renderings.
VUT Libraries: Biotechnology: E-Books Randomly - Picked by your Librarian

Welcome to the one-stop library guide destination for Biotechnology students and lecturers. These e-books were randomly picked by your librarian from ProQuest E-Books Central - one of our E-Books databases. You need to register to access them. You can also go to the database to find other e-books - https://ebookcentral.proquest.com
Design and implementation of the selection system of mining method based on web platform

It is significant how to decide a reasonable mining method in metal or non-metal underground mining.By collecting the technical conditions and economic indicators of every standard mining method,abstracting the factors that influencing mining method selection such as ore body stability,ore body thickness and dip angle of ore body into enumerated type,operating the process of mining method selection with the relational algebra of relational database MYSQL,coding the interface between the server and the client with the programming language PHP and the markup language HTML,The convenient and applicable selection system of mining method based on web platform is built which can be used through a web browser.
A Gist on Quantum Computing

Over the last three decades computers have become exceptionally compact and faster. Now that we have reached the fifth generation of computers which include concepts of artificial intelligence, what’s next? There is a lot of fuss about quantum computers being a strong contender for the next generation of computing. Recently we heard stories about small scale quantum computers being built by technology giants like IBM and Google and also an instance of quantum supremacy.One of the key features of quantum computing is its core concept, leveraging the principles of quantum mechanics, which we have avoided with our classic computers. Quantum computers are the first ones to deviate from the basic concept of bits. To understand this difference in the fundamental concepts, we start with basic building blocks in conventional computers, bits and draw contrasts with those in quantum computers. Further explore how rudimentary operations are performed in both machines by comparing addition operations of 2 and 3 bits. Followed by a brief detail on current research on quantum computers and claims on their supremacy over current machines. Then we elaborate on the world of new possibilities and unsolvable problems quantum computers have the ability to tackle.This paper aims at giving a gist of quantum computing to beginners, starting with fundamentals to current research by identifying stark contrasts with conventional machines. It also explores the need of new computation powers and why we have reached almost the tail end of processing power of classical computers.
An Empirical Study on Whether Online Lesson Satisfaction Is Enhanced by the Mediating Role of Academic Performance or Whether Academic Performance Is Enhanced by the Mediating Role of Online Lesson Satisfaction

In 2020, due to coronavirus, most educational institutions have been conducting remote, that is, non-face-to-face classes. Unlike face-to-face classes, non-face-to-face classes are a specific educational approach in which lectures are conducted online using software and electronic devices. Students' academic performance and online lesson satisfaction is extremely important for them. Accordingly, it is important to investigate students' academic performance and online lesson satisfaction. This research conducted an empirical study targeting Chinese university students. The focus was on their online lecture fit as a means of improving academic performance and satisfaction with online lectures. This research addressed the two key points to improve academic performance and online lecture satisfaction. We investigated whether online lecture fit enhanced academic performance through the mediating role of online lecture satisfaction. We also investigated whether online lecture fit enhanced online lecture satisfaction through the mediating effect of academic performance. According to this, the main purpose is to provide a clearer mediating process through these two points. The results of this study not only emphasize the importance of online lecture fit, but also identify the role of enhancing academic performance and online lecture satisfaction. Finally, practical implications are presented through the results of empirical analysis and future research directions are also discussed.
Communication and Cost Efficient Third Party Auditor Over Public Cloud

The integrity of data and efficiency of storage are the most important concerns in cloud computing. Signature generation and validation of signature are the methods to prove the integrity of data over the cloud. In addition, a third-party auditor (TPA) helps in validating the signature. Proposed auditing system helps in improving storage efficiency and remove duplication on the cloud server. The proposed scheme is efficient as communication is based on the need for integrity checking. The computational cost is calculated at the user side. Batch auditing is implemented in the scheme and it also supports the dynamic auditing. Results are analyzed and compared with some of the existing systems.
Inter-Brain Synchronization: From Neurobehavioral Correlation to Causal Explanation

Simulation and positioning are very important aspects of computer aided engineering. To process these two, we can apply traditional methods or intelligent techniques. The difference between them is in the way they process information. In the first case, to simulate an object in a particular state of action, we need to perform an entire process to read values of parameters. It is not very convenient for objects for which simulation takes a long time, i.e. when mathematical calculations are complicated. In the second case, an intelligent solution can efficiently help on devoted way of simulation, which enables us to simulate the object only in a situation that is necessary for a development process.We would like to present research results on developed intelligent simulation and control model of electric drive engine vehicle. For a dedicated simulation method based on intelligent computation, where evolutionary strategy is simulating the states of the dynamic model, an intelligent system based on devoted neural network is introduced to control co-working modules while motion is in time interval. Presented experimental results show implemented solution in situation when a vehicle transports things over area with many obstacles, what provokes sudden changes in stability that may lead to destruction of load. Therefore, applied neural network controller prevents the load from destruction by positioning characteristics like pressure, acceleration, and stiffness voltage to absorb the adverse changes of the ground.
Pengaruh Model Pembelajaran Personalized System of Instruction (PSI) dalam Meningkatkan Aktivitas dan Hasil Belajar Matematika Siswa SMA

This research is motivated by the low activity and learning outcomes of students in one of the public high schools in Bima City. The purpose of this research is to increase students' activities and learning outcomes of mathematics by applying Personalized System of Instruction (PSI) learning. The type of research used in this study is quasi-experimental, it is said that because in this design the researcher cannot control all external variables, namely external factors that are not examined and become a nuisance so that it affects the course of the experiment. The results of this study indicate that all aspects that are assessed appear during the learning process. This is complemented by the results of statistical tests with the results of tcount greater than ttable, namely 2.86 &gt; 1.67 with the acquisition of the average value of learning outcomes in the experimental class which is greater than the control class, which is 65.8 &gt; 53.9. This means that the Personalized System of Instruction (PSI) learning model gives better results than conventional learning. Thus, the steps of the PSI learning model have an influence in increasing students' activities and learning outcomes in mathematics.
LibGuides: Diversity in STEM Education: Journals

This Library Guide contains resources for students interested in Diversity in STEM education (Science, Technology, Engineering, and Mathematics)
SHAPING ENVIRONMENTS CONDUCIVE TO EMOTIONAL WELL-BEING FOR ELDERLY PEOPLE WITH INCIPIENT COGNITIVE IMPAIRMENT

Undoubtedly, the environment and the set of environmental factors that surround us can have a great influence on the perceived sense of well-being. However, there are few studies that analyze, jointly, the influence of a selection of factors for the conformation of environments that favor well-being, especially oriented to elderly people with cognitive impairment. It is in this context that the present study arises, with the aim of determining the influence of a set of ten factors (ambient temperature, lighting, ambient music, etc.) on the emotional well-being of elderly people with early symptoms of cognitive impairment, which is particularly important in today's increasingly aging society, where the gradual development of cognitive impairment is inevitable. For this purpose, the advances achieved in previous research carried out by the authors are summarized, and a method based on the execution of a set of experiments is described, using collections of images to assess the emotional interpretation of each individual under the influence of different combination of simulated conditions (selected external factors) in their environment, processing and analyzing the data obtained by means of machine learning techniques. The realization of these experiments and the application of the proposed analysis method will allow obtaining knowledge that can be used for the design of specific living environments for elderly people with cognitive impairment where the sense of emotional well-being and the preservation of their mental faculties are favored. Key words: Emotional interpretation, environmental factors, Soft Computing, clustering, advanced age.
Health Identity with Blockchain

Time is a precious element considering the medical field. It can be used to save a life and also misuse of time can waste a life. When a patient is brought in with an emergency casualty, every second counts. Knowing the medical history is an important task in every emergency situation. Finding and analysing the results takes a lot of crucial time. Implementing a solution to access a patient's previous medical data along with personal details will reduce the wastage of precious time. The solution we suggest is the best to provide important data about a patient in the most secure manner. Medical data are to be handled with most confidentially. Implementing this solution in blockchain technology increases the confidentiality of the data being stored. To implement at most security the data is not stored in any of the databases. Every bit of data is encrypted which can only be accessed and monitored by the patient only. At any situation when the data is required to share with authorities the patient can decide which all data to be shared. At emergency situations only a particular set of data is shared which is approved by the patient beforehand. Every data shared can be monitored by the patient and permissions can be revoked. Implementing this solution is sure to bring a great change in the medical field saving a lot of lives at the earliest without wastage of the precious time.
Geoscientists <i>Without</i> Borders® (GWB) activities and the road ahead

PreviousNext No AccessFirst International Meeting for Applied Geoscience & Energy Expanded AbstractsGeoscientists Without Borders® (GWB) activities and the road aheadAuthors: Robert MerrillCengiz EsmersoyRobert MerrillCatheart Energy, Inc.Search for more papers by this author and Cengiz EsmersoyConsultantSearch for more papers by this authorhttps://doi.org/10.1190/segam2021-3583023.1 SectionsSupplemental MaterialAboutPDF/ePub ToolsAdd to favoritesDownload CitationsTrack CitationsPermissions ShareFacebookTwitterLinked InRedditEmail AbstractSince its establishment by the SEG thirteen years ago, GWB has become the world’s leading applied humanitarian geoscience group. Although its budget has been modest, it has attracted hundreds of global proposals. Fifty projects have been funded, connecting geoscience experts with communities in need in many parts of the planet.In 2020 GWB formed a task force to explore ways to grow its impact through increased funding and collaboration with volunteers and other organizations.Keywords: near surface, water, hydrology, resistivity, aquiferPermalink: https://doi.org/10.1190/segam2021-3583023.1FiguresReferencesRelatedDetails First International Meeting for Applied Geoscience & Energy Expanded AbstractsISSN (print):1052-3812 ISSN (online):1949-4645Copyright: 2021 Pages: 3561 publication data© 2021 Published in electronic format with permission by the Society of Exploration GeophysicistsPublisher:Society of Exploration Geophysicists HistoryPublished: 01 Sep 2021 CITATION INFORMATION Robert Merrill and Cengiz Esmersoy, (2021), "Geoscientists Without Borders® (GWB) activities and the road ahead," SEG Technical Program Expanded Abstracts : 3068-3072. https://doi.org/10.1190/segam2021-3583023.1 Plain-Language Summary Keywordsnear surfacewaterhydrologyresistivityaquiferPDF DownloadLoading ...
CNN based Digital alphanumeric archaeolinguistics apprehension for ancient script detection

OCR is a most prominently used system in computer vision space. In the era of computer vision, the recognitiontechnologies are indeed evolved but there are still some difficulties for computers when reading handwritten text which can be resolved only after the introduction of machine learning. Recognition and verification of handwritten information is still a challenging problem in machine learning. Optical Character Recognition is a process of recognizing text or information present inside the images and converting it into a digital formatted text. Text recognition has immense applications in the academics, research, commercial and industrial fields. This paper is about an Optical Character Recognition for text recognition from the images which could be in any of the forms of handwritten text files as well as from the ancient manuscript (Language-English). This paper presents a novel machine learning approach to recognize the characters using CNN and the accuracy is found to be 73% approximately within a fraction of second. Later the recognized images are converted into the text file and then get translated into the preferable languages.
Twin Ports Early-Career Researchers Fall Forum & Workshop (2019-10-29)

October 29|2019; University of Minnesota - Duluth; Library Rotunda; +Workshop|Networking for scientists (10:30-12:30); +Career Panel Discussion|Applying, interviewing, & negotiating (1:30-3:30); +Keynote|Science as a business and mapping your career (3:30-4:30); +Post-forum|Social (5pm-?); TPER is dedicated to building community among postdocs, PhD students, and other early-career researchers in the Twin Ports by providing networking and career-building opportunities