Reviewerly/exHarmony huggingface dataset:
IMPROVED EMOJI IDENTIFICATION FOR SENTENCE USINGLSTM IN RNN

We proposed an improved sentence classification using emoji. Word embedding are used to assignemoji for sentences. The benchmark existing models speak to the word as a position vector inword embedding space. These researchers convert each word in the sentence into their wordvectors and afterward take a mean of word vectors. They were used pre-trained word embeddingsfor representing words in a sentence. Thus, existing proposals cannot catch the multiple aspectsand context of the sentence. Furthermore, due to taking the normal of word vectors of givensentence, existing strategies perform less precision at sentence order for accurate emoji. In thispaper, we proposed an improved sentence classification which is used LSTM units in RNN modeland train the existing embeddings during model creation based on training set. This proposalimproved word embedding vector when the model can be updated with new training examples. Itlikewise has generally high segregating power, on account of sentence is represented in variousfeature space by representing to each feature dimension with potential highlights. Experimentalresults on various data sets show that an accuracy of about100% on training set and about 98% ontest set. Overall, the proposed model can make moderately incredible various interpretablehighlights and word vector embeddings and gives the extension to actualize new strategies toimprove the sentence characterization. Further, it very well may be utilized to improve theexhibition of sentence representation, document classification and representation and textcharacterization.
An Analysis Method of User Group’s Emotional Tendency in Hot Topic of Microblog

Microblog hot topic is the focus of microblog users’ attention. It is the key to master the emotional orientation of the public to accurately understand the emotional tendency of users to hot topics. How to accurately analyze the user group’s emotional tendentiousness is an urgent problem to be solved. This paper proposes an analysis method of user group’s emotional tendency of microblog hot topic based on the construction of exclusive dictionaries, which combines the construction of emotional dictionaries with hot topic. Firstly, use TF-IDF and K-means++ clustering to select the emotional words and characteristic words under the microblog, then, calculate the emotional intensity of the emotional words and build the exclusive Dictionary of this topic. Finally, we use the exclusive dictionary, based on the sentence level emotion analysis method, to analyze the emotional tendency of user groups. Experiments show that this method can significantly improve the accuracy of sentiment analysis of microblog hot topic users.
Perancangan Aplikasi Pengelolaan Surat pada Dinas Kependudukan Catatan Sipil Kabupaten Aceh Besar

Currently, technological development is very much needed as information systems are increasingly stringent and require the readiness of an organization. Government agencies very much manage and serve the community so that the role of government is very influential to serve the community for example for the management of correspondence. The use of the existing mail information system does not meet the standards of technological development, because the existing data processing system is still done manually using Microsoft Word. The problem that is often faced when making a letter by hand is that people who make a letter have to wait a long time, because officers must input data manually. The purpose of this research is to create a system to serve the public in making letters, so that officers can provide services quickly and accurately. The results of this study are the information system that was designed to be able to provide convenience and update the administration of the letter agenda that previously was still using the manual method.
So just owning data, preferably from ...

So just owning data, preferably from own domain, is #IndieWeb enough, but then you can start doing cool stuff like having webrings and RSS
Blockchain for Education Records : An interpretive research on university students’ perceptions

This research aims to explore students’ perceptions and their desired features on the use of blockchain technology for the management of education records. A literature review formed the basis of t ...
Info Guides: Homework: Science

Study guides, databases, and other helpful resources for studying and research. Resources covering chemistry, biology, geography, and physics.
EP "Naiades" - Cauce

This project is about the composition, production, recording and mixing process of five songs for an electronic music EP called “Naiades”, for the group Cauce. The document shows important musical references related to some realization aspects of the product, the concept of the album, and some explanations about edition and sound experimentation.
Demand Analysis of New Engineering Talents and Exploration of Specialty Construction Path in Application-Oriented Universities Under Intelligent Information Environment

With the rapid development of information technology, the talent gap in the intelligent information society poses a huge challenge to education, It has a great impact on the construction of new engineering and the cultivation of talents, Based on the investigation and analysis of the talent demand of the local intelligent informatization related industries, this paper puts forward the path and method for the training of new engineering talents, which can provide reference for the construction of new engineering specialty and discipline in Local Application-oriented Universities.
LibGuides: Quick Guide to Getting Started in a Remote Environment: Home

Quick overview of some recommended practices for working/studying remotely. How to set-up and office environment, manage interruptions, best browsers, etc..
Step into the Bubble

The Bubble app enables an Augmented Reality (AR) user interface to be created as a hierarchy of interactable nested bubbles. It allows users to easily navigate, explore and interact with content and other information (i.e. text, images, videos, 3D models) in a manner naturally suited to mixed reality and AR worlds. The Bubble interface has broad applications. In its current form, we use it to display exhibits at the Penn Museum.
New Cache Attacks and Defenses

The sharing of last-level cache (LLC) among different physical cores makes cache vulnerable to side channel attacks. An attacker can get private information about co-running applications (victims) by monitoring their accesses. Cache side channel attacks can be mitigated by partitioning cache between the victim and attacker. However, previous partition works make the incorrect assumption that only the victim's cache misses are visible to attackers.In this work, we provide the key insight that both cache hits and cache misses from the victim are vulnerable. For a cache hit, although it does not affect the existence state, it can still change the replacement state and coherence state, which can also leak information to attackers. Based on this, we propose Invisible-Victim cache (IVcache), a new cache design that can mitigate both traditional LLC attacks and the new variants. IVcache classifies all processes as protected and unprotected. For accesses from protected processes, IVcache handles state changes in a slightly different way to make those accesses absolutely invisible to any other processes. We evaluate the defense effectiveness and performance of IVcache in the gem5 simulator. We show that IVcache can defend against real-world attacks, and that it introduces negligible performance effect to both protected and unprotected processes.
Benchmarking of Adiabatic Quantum Computation models to predict the structure of proteins

Abstract Proteins’ structure is a challenge in bioinformatics. We revisit the Hidrophobic-Polar (HP) model for Quantum Adiabatic Computation (AQC) formalizing its modeling, together an analysis about its unfeasibility in classical simulation versus quantum processing.
Uncertainty-based Interactive Machine Learning

Interactive machine learning describes a collection of methodologies in which a human user actively participates in a novice agent’s learning process, through providing corrective or evaluate feedback or demonstrative actions. A primary assumption in these methods is that user input is at worst nearoptimal, however a realistic set of demonstrations will often contain conflicting or poor examples, which degrade the quality of the learnt policies. This project explores methods for the detection of such undesirable features in data and develops an algorithm for policy training with suboptimal demonstrations, while leveraging the generalisation and scalability qualities of artificial neural networks. Uncertainty estimation, which presents a structured approach for the quantification of a network’s confidence in the accuracy of its output, based on the observed training data, is applied for the detection of unwanted features in a demonstration dataset. The particular focus of this project is conflicting data resulting from scenarios with equivalent action choices, such as the obstacle avoidance setting. Following thorough testing on various environments, it is shown that novice policies may be trained to achieve a desired goal in multi-dimensional spaces with either discrete or continuous data, despite the presence of conflicts in this training data.
Um olhar sobre a Inteligência Artificial, a Internet das Coisas e as Tecnologias do Futuro

Recent advances in the Artificial Intelligence field, where new applications using machine learning concepts are often appearing, are making our everyday life to change. Thus, this article describes the development of an application that uses Artificial Intelligence Techniques, Image Processing and Computer Vision, to recognize if there is or not a specimen of Siamese cat in a given image. In this vein, this paper shows how we can use methods for image segmentation, extraction of characteristics, and classification for Siamese cats recognition.
LibGuides: Current Status of Library Services: Current Status of Library Services

The following suggestions and resources may be helpful for students, faculty, and others conducting research in the library or remotely during the Fall 2021 semester.
An Interacting-Multiple-Model Method for Tracking a Hypersonic Glide Target

In terms of tracking a hypersonic glide target (HGT), a tracking method is proposed based on interacting-multiple-model (IMM). Target tracking mainly contains two missions: system modeling and choosing filtering algorithm. First, a tracking system is established composed of state and measurement equations on basis of ground-based radar measuring. The Singer model is used to represent the unknown aerodynamic acceleration. Then, to enhance model adaptation of the tracking method, three-model interacting filter is constructed with maneuver-frequency adaption based on unscented Kalman filter (UKF). Through tracking a flight trajectory generated by Gauss Pseudospectral Method, the effectiveness of the proposed method is validated and the multiple-model is superior to the single-model.
PENGEMBANGAN PERENCANAAN PEMBELAJARAN BERBICARA DENGAN PROSEDUR KOMPLEKS MENGGUNAKAN MEDIA VLOG SISWA KELAS X SMA NEGERI 14 SAMARINDA

This study aims to (1) create a lesson plan (RPP) from the development of speaking lesson plan using complex procedures on vlogs of 10 th grade high school students; (2) develop speaking materials using complex procedures on vlogs based on the students’ needs; (3) develop the evaluation of speaking using complex procedures on the students’ vlogs. It applies research and development (RD) of Borg and Gall development model. The population in this research is 31 students of SMA Negeri 14 Samarinda. They are 10th graders. Trials are conducted in two stages: small group and large group or field trials. The data collection techniques used is observation, interview, and tests. It uses descriptive and qualitative analysis technique.
Motion Planning for Parking a Truck and Trailer System

Motion planning for autonomous heavy vehicles has been an intensively studied topic during the last years. In particular, real-world applicable motion planning schemes for truck-trailer systems hav ...
An Adaptively Secure Functional Encryption for Randomized Functions

Abstract Functional encryption (FE) can provide a fine-grained access control on the encrypted message. Therefore, it has been applied widely in security business. The previous works about functional encryptions most focused on the deterministic functions. The randomized algorithm has wide application, such as securely encryption algorithms against chosen ciphertext attack, privacy-aware auditing. Based on this, FE for randomized functions was proposed. The existing constructions are provided in a weaker selective security model, where the adversary is forced to output the challenge message before the start of experiment. This security is not enough in some scenes. In this work, we present a novel construction for FE, which supports the randomized functionalities. We use the technology of key encapsulated mechanism to achieve adaptive security under the simulated environment, where the adversary is allowed to adaptively choose the challenge message at any point in time. Our construction is built based on indistinguishability obfuscation, non-interactive witness indistinguishable proofs and perfectly binding commitment scheme.
GREEN SLEEP SCHEDULING OF SERVERS FOR CLOUD DATA CENTER

Servers in a cloud data center remains busy and over provisioned throughout the day. They are kept in active state 24/7 to meet the peak and low demands of user requests which causes wastage of power and electric energy at a huge scale. One way to overcome this power wastage is by reducing the total number of used servers or idle servers. Other solution is based on switching mechanism in which idle servers are moved to sleep state consuming low power and others are kept in active state. Current work is a simulation of the real-world cloud data center where our goal is to minimize the energy consumption by the scheduling of servers with multi-sleep modes. In this application, files are uploaded and downloaded by using one active cloud server and placing remaining servers in the low-power sleep state. The scheduling of servers is based on an incoming request to the cloud servers. The amount of energy to be supplied to the cloud servers is adjusted by using Dynamic Voltage Frequency Scheduling, Dynamic Power Management techniques, and a suitable supply of power for a cloud server is selected by Backtrack technique. This application calculates the total power cost incurred by a cloud data center when all the servers are active and when only one server is active and rest are in sleep. This application significantly reduces the consumption of electricity and power in a cloud data center and lays a way towards energy saving.
Neuromaster Review: Is this nooropic from Bulletproof any good?

Summary After doing a detailed review of Bulletproof Neuromaster, weve come to the conclusion that it is one of the biggest wastes of money currently ...
Guides: Teaching with E-resources: Home

This guide is meant to help faculty with using electronic library resources and integrating them into their course shells (in Blackboard). It covers how to find persistent links, proxy links, and copyright information related teaching.
LibGuides at USA: Marx Library: COVID-19 FAQ: Research Assistance

Here you find frequently asked questions related to:- Returning and Renewing Materials- Checking-Out materials- Finding Materials- Research Assistance- General Library Access- Using the McCall Library- Accessing Study spaces- Reservation
A STUDY ON THE STUDENTS’ LEARNING STRATEGIES IN WRITING AT THE TENTH GRADE OF SMAN 1 BADEGAN IN ACADEMIC YEAR OF 2018/2019

This research aimed to investigate the English language learning strategies in writing skill used by the students and explained the relationship between students’ English language learning strategies and their writing performance in academic year 2018/2019. This was a qualitative descriptive study, and it was conducted at tenth-grade students of SMAN 1 Badegan. The instruments used to collect the data were a questionnaire, interview, and documentation. The close-ended questionnaire distributed to the 33 students to see the English language learning strategies in writing skill that they used and 29 students answered the questionnaire. Besides that, the interview distributed to the English teacher in the class. For the documentation like students’ grade transcript to investigate the impact of the learning strategies to their writing performance and photographs of the research activities to support the research to be more credible and reliable. The research finding showed that all of the students used learning strategies in their writing. There were 69% participants used compensation, 59% participants used metacognitive, 50% participants used social, 47% participants used cognitive, 47% participants used affective, and 34% participants used memory strategies. The research result indicated that most of the students preferred to combine the six strategies in their writing. Moreover, learning strategies used by the students in their writing influenced the students’ writing score. The students with a good score preferred to combine the six strategies in their writing. Therefore, learning strategies gave an impact on the students' writing performance. The conclusion from this research, students should be aware of their learning strategies, so they can improve their writing skill. Moreover, teachers also should be aware that students have different preferences to learn, so that teachers need to be prepared to conduct a variety of teaching strategies in their classrooms.
LibGuides: Elementary Education: Learn About a Topic

This subject guide is designed to support the Rogers State University and Cameron University joint Elementary Education programs.
시뮬레이션 실습센터의 지역거점화 방안

Purpose : This study is an exploratory research to find ways to operate regional-based simulation training centers by establishing a consortium for...
Cases of Acute Abdomen Radiography With Perforation At General Hospital Haji Adam Malik: Cases of Acute Abdomen Radiography With Perforation At General Hospital Haji Adam Malik

This examination is discussed on the level of success in doing Techniques Radiography Acute Abdomen By Case Perforations, data was obtained by firstly be the Formation of Shadows with menggnakan Computed Radiography, Aircraft X-ray used is a plane general X-ray unit, with the projection used is Antero-posterior supine, Antero-posterior erect, and Left Lateral Decubitus, on examination Abdomen Perforation Wide Field irradiation should be tailored to the size of the object to reduce the radiation scattering, and use the grid to absorb radiation hamburg and reduce the radiation dose, Placement Marker should be on the object to be photographed , These checks are carried out directly and relate to patients.
Bitcoin's Intraday Price Dynamics: Pre and Post COVID-19

Download This Paper Open PDF in Browser Add Paper to My Library Share: Permalink Using these links will ensure access to this page indefinitely Copy URL Copy DOI
Research Guides: Misinformation Guide: Digital Literacy

Learn how to be an informed consumer of social media and the news Helpful ideas that you can try
LibGuides: Civic Engagement: Political Organizations

This Civic Engagement LibGuide provides links to resources and information about issues from voting, researching issues and candidates, how elections work, as well as library resources such as books, e-books and streaming videos. Easy way to organize class information
LibGuides: OverDrive / Libby: Browse

This guide will take a look at OverDrive and give you a general understanding on how it works, what it is, and how you can use it.
LibGuides: Return to Campus: Library Services and Policies: Overview

An overview of the services available to UAH students, faculty, and staff during the Covid-19 pandemic.
LibGuides: Library - UJ Innovative Learning HUB: Innovative Learning Hub: Getting Started

Welcome to the UJ Innovative Learning hub. The focus will be on resources aimed at support for Blended Learning and 4IR technology.
LibGuides: Civic Engagement: Contacting Government Officials

This Civic Engagement LibGuide provides links to resources and information about issues from voting, researching issues and candidates, how elections work, as well as library resources such as books, e-books and streaming videos.
LibGuides: Civic Engagement: eBooks

This Civic Engagement LibGuide provides links to resources and information about issues from voting, researching issues and candidates, how elections work, as well as library resources such as books, e-books and streaming videos.
LibGuides: Artists' Books: Getting Started

This guide will feature many of the artists' books available in UTSA Libraries Special Collections.
Library and Academic Services: Permalinks (Library 101): Home

Use Permalinks to link to Library resources in LEARN, email and other web-based applications.
LibGuides: Civic Engagement: Civic Engagement and Media Literacy

This Civic Engagement LibGuide provides links to resources and information about issues from voting, researching issues and candidates, how elections work, as well as library resources such as books, e-books and streaming videos. Use these resources to fact-check current events, political platforms, and both non-profit and for-profit organizations.
Research Guides: Misinformation Guide: Bias

Learn how to be an informed consumer of social media and the news Ideas and definitions about confirmation and implicit bias
Teacher Information About Handling Writing Teaching Classification of Special Educational Educationals with Learning

The study aims to identify the teacher’s knowledge about teaching handwriting and the techniques to improve the handwriting for special education preschool classroom. The research design for this study is a case study using qualitative method involving a teacher who is teaching in learning disabilities for special education preschool classroom. The findings show the participant is readiness in teaching special education preschool classroom. The Content knowledge as well as the teaching and learning activities to improve handwriting demonstrates the participant's confidence in teaching. Finally, this study would like to propose fine motor as an intervention in the remedial activities for pupils with difficulties in handwriting.
Recursive Tensor Network Bayesian Learning of Large-Scale LS-SVMs

Least-squares support-vector-machines are a frequently used supervised learning method for nonlinear regression and classification. The method can be implemented by solving either its primal problem or dual problem. In the dual problem a linear system needs to be solved, yet for large-scale problems this can be impractical as current methods suffer from the \textit{curse of dimensionality}. This phenomena causes the computational and memory requirements to exceed the capabilities of standard computers for large datasets. In this thesis, a tensor network Bayesian learning method was developed to avoid these burdensome complexities. The developed method performs competitively with the current state-of-the-art, and unlike other low-rank approximation methods, allows for incorporation of user-knowledge, noise, early stopping, and yields confidence bounds on the obtained model.
Info Guides: Homework: Coding & Computers

Study guides, databases, and other helpful resources for studying and research. Resources for coding, computer science, app development, and artificial intelligence.
LibGuides: Civic Engagement: Community Organizations

This Civic Engagement LibGuide provides links to resources and information about issues from voting, researching issues and candidates, how elections work, as well as library resources such as books, e-books and streaming videos.