Reviewerly/exHarmony huggingface dataset:
PROFESSIONAL QUALIFICATION WITHOUT BORDERS

The application of innovative and interactive training in the educational process and the provision of alternative and flexible forms of professional qualification is becoming an essential task of cultural and educational institutions. It is argued that quality professional qualification is an important factor for the development of our country, by facilitating access to lifelong learning opportunities for all, by upgrading knowledge, skills and competences, and by promoting flexible learning processes. The contemporary education providers have the important task of simultaneously conducting modern and interactive learning at the same time - to maintain the high quality of the educational process. They face the challenge of keeping the teaching traditions while adapting to the changes brought about by the appearance of ICT in all spheres of public life. The educational system that we know and the teaching methods and approaches currently are facing a transformation that aims not only to attract but also to retain the attention of the digital generation who do not know the world before the appearance of the technology. Today we are calmly talking about “Education without Borders”, about providing educational resources in electronic format, facilitating communication between teachers and students. Thanks to the opportunities that modern ICT provides, we meet a wide range of possibilities for remote access to educational and training services, regardless of geographical latitudes. This report focuses on the need of implementation of the modern innovative methods for conducting the educational process through the application of various forms of interaction, such as teamwork, brainstorming, role-playing games, discussions and debates. In organizing and carrying out continuous vocational training it is very important to bear in mind that it must be up to date, attractive and last but not least – to be quality. To be successful continuing vocational training necessary cultural, artistic and educational industries to build a long-term partnership with businesses to provide training, meeting the requirements of the labor market. Two projects are being considered, aimed to direct the public awareness of VET perspectives through a variety of interactive communication and training methods, as well as a simulation that combines career guidance in virtual reality, a methodology for learning through games and learning by experiencing.The report was developed as part of a project Communication Model for an Interactive Educational Environment for Continuous and Postgraduate Professional and Continuing Education in the Field of Cultural and Creative Industries, Contract No DN05 / 1, 14.12.2016 with head of the project Assoc. Prof. Dr. Rumelina Vasileva financed by National Science Fund of Bulgaria.
PENGARUH JENIS BUSI TERHADAP KONSUMSI BAHAN BAKAR MOTOR BAKAR 4 TAK

The purpose of this study was to determine how much influence the use of standard, platinum, and iridium spark plugs on fuel consumption on motorcycles supra x 125. The method used in this study is an experimental method or direct experiment. Turn on the motorbike, then increase the engine speed according to the design. Use a tachometer to measure the rpm whether it is in accordance with that set in the study. Use a stop watch to calculate the test time and after finishing see the results that have been obtained. By doing the no-load test 3 times in each experiment that you want to test. The results show that using platinum and iridium spark plugs can reduce fuel consumption.
Sentiment Analysis of Tribal, Religion, and Race with LIWC

During this pandemic, social media has become a major need as a means of communication. One of the social media used is Twitter by using messages referred to as tweets. In Indonesia itself, there are various tribes, religions, and races in their society so the use of these names is also become commonly used. However, sometimes, the use of the name is followed by negative sentiment that used to insult and aimed at an individual or group. To filter that kind of tweets, a sentiment analysis was performed with LIWC method that divides tweets into 3 classes of positive, neutral, and negative. From the sentiment analysis that has been performed, the average score for precision is 69.62%, recall is 70%, and f-measure is 69.81%
Expansion flurry at Celanese

Celanese unveiled a series of ambitious capital projects during its investor day March 25. The company says it has the financial flexibility to put $6 billion toward capital spending, acquisitions, and share repurchases. In one of the most notable projects, Celanese’s Clear Lake, Texas, methanol joint venture with Mitsui & Co. intends to capture waste carbon dioxide and convert it into methanol. The effort will add about 300,000 metric tons (t) per year of methanol capacity. Celanese plans to expand vinyl acetate capacity at its Nanjing, China, facility by 90,000 t per year through the use of what it calls a “next-generation” Celanese catalyst. By 2023, it will expand capacity for vinyl acetate ethylene emulsions by 65,000 t in Nanjing and by 45,000 t in Frankfurt, Germany. The company is also looking for a European site for an ultra-high-molecular-weight polyethylene plant with 34,000 t of capacity that would open in
Gaussian Process for Tomography.

Tomographic reconstruction, despite its revolutionary impact on a wide range of applications, suffers from its ill-posed nature in that there is no unique solution because of limited and noisy measurements. Traditional optimization-based reconstruction relies on regularization to address this issue; however, it faces its own challenge because the type of regularizer and choice of regularization parameter are a critical but difficult decision. Moreover, traditional reconstruction yields point estimates for the reconstruction with no further indication of the quality of the solution. In this work we address these challenges by exploring Gaussian processes (GPs). Our proposed GP approach yields not only the reconstructed object through the posterior mean but also a quantification of the solution uncertainties through the posterior covariance. Furthermore, we explore the flexibility of the GP framework to provide a robust model of the information across various length scales in the object, as well as the complex noise in the measurements. We illustrate the proposed approach on both synthetic and real tomography images and show its unique capability of uncertainty quantification in the presence of various types of noise, as well as reconstruction comparison with existing methods.
Research guides: LibrarySearch Tips: Save Searches and Create Alerts

A guide to the University of Toronto Libraries' LibrarySearch platform How to save searches and set up automatic search updates sent to your email
Side Channel Attacks on RISC-V Processors: Current Progress, Challenges, and Opportunities

Side-channel attacks on microprocessors, like the RISC-V, exhibit security vulnerabilities that lead to several design challenges. Hence, it is imperative to study and analyze these security vulnerabilities comprehensively. In this paper, we present a brief yet comprehensive study of the security vulnerabilities in modern microprocessors with respect to side-channel attacks and their respective mitigation techniques. The focus of this paper is to analyze the hardware-exploitable side-channel attack using power consumption and software-exploitable side-channel attacks to manipulate cache. Towards this, we perform an in-depth analysis of the applicability and practical implications of cache attacks on RISC-V microprocessors and their associated challenges. Finally, based on the comparative study and our analysis, we highlight some key research directions to develop robust RISC-V microprocessors that are resilient to side-channel attacks.
Alphabet Writing Game Application using Template Matching Cross-correlation

The game of writing letters is an attractive learning media. Each person's handwriting is different. So that it requires a data classification method to match the test data with the template that is the alphabet letter. In this journal using a template matching cross-correlation for data classification. Before data classification, preprocessing is done in the form of resize and threshold to produce binary images. Thinning process is also carried out to thin the letters. The thinning algorithm used is stentiford. From the accuracy testing obtained an average value of 70.38%. With the number of letters that continue to experience errors namely the characters H, K, M, and Y.
Library Guides: Interlibrary Loan/Document Delivery/GIL-Express: ILL Training Videos

Information on the Resource Sharing Services available through Georgia Southern University Libraries How-To Videos for ILL and ILLiad
LibGuides: Electronic materials temporarily available during COVID-19: Ebook & Journal Collections

Access to resources made available to researchers during the COVID-19 pandemic. Please see individual resources for specific time periods covered, if specified.
A Search Of File Journal With Query Word on List of Journal Document List Using VectorSpace Model Method

Journals are articles about research that are very useful among academics and students alike. Every time we learn a new knowledge, we certainly need a guide that is verified and also credible. Students and academics were greatly helped by this journal. With journals help students and academics get references from previous research and get more insights so that they are able to make a related research and can even be improved from previous research. However, there are still many students and academics who find it difficult to find the right journal for their needs. So here the authors make a research system of information retrieval about journal searches by querying words using the vector space model method. In the suffix tree clustering method and the Vector Space Model, each document and keyword that has been carried out by the Text Mining process is then given the weight of each word contained in each existing document with the Term Frequency - Inverse Document Frequency (TF-IDF) weighting algorithm.
Extend the Power of NetSuite with Field Service Management | Webinar

Get the power of NetSuite into the hands of your dispatchers and field techs with a NetSuite-integrated field service mobile app. MSI recently ...
Deep Learning Based Image Enhancement and Black Box Filter Parameter Estimation

It is the age of social media and influencer culture and the importance of style and aesthetic has never been more apparent. Photo-retouching remains a critical and often, time consuming part of this process. To simplify the complex and skillful task of retouching, this paper proposes a Deep Learning based automatic photo retouching solution. It builds upon a GAN-based architecture, trained in an unsupervised manner to instantly enhance images. However, most Deep Learning based approaches are black-boxes and provide the user little to no insight into the enhancements applied, leaving it difficult to perform minor tweaking in enhancement as per preference. Hence, we also propose an algorithm to estimate parametric modifications given a pair of images with the aim of enabling the user more in the process of image enhancement. Together these allow complete transparency in deep learning based image enhancement while still producing results comparable to black-box approaches. We demonstrate the effectiveness of the proposed solution by comparing Mean Opinion Scores (MoS) and show that more than 84% of the users prefer the proposed solution.
EUS-Guided Tissue Acquisition Of GI Subepithelial Lesions With Macroscopic On-Site Evaluation (MOSE): Adequacy With FNA And FNB Needles

Aims EUS imaging, even if coupled with FNA, has a suboptimal accuracy in diagnosing subepithelial lesions; to increase the performance of EUS-guided tissue acquisition the use of FNB needles, or the addition of macroscopic (MOSE) or microscopic (ROSE) evaluation of the specimen have been proposed. The aim of this study is to compare the adequacy of FNA with MOSE and FNB with MOSE in this setting.
Modelling and Simulation of an Ultrasonic Tethering Smart Wheelchair System for Social Following

Distracted navigation causes 20% of all powered wheelchair accidents. In social situations, wheelchair users must divide their attention between navigating the chair and conversing with an accompanying person. These conversations could lead to increased mental stress and distractions from maneuvering the chair. This project aims to eliminate the need to manually control a powered wheelchair when moving and conversing with an accompanying person, by controlling the wheelchair’s path to follow beside a person. This includes identifying and determining the person’s pose to control wheelchair navigation. The proposed ultrasonic tethering system was developed and simulated on Matlab and Simulink using models for ultrasonic sensors, amplification and filtering circuits, and a processing unit. Unlike infra-red sensors and cameras that are highly dependent on environmental light conditions, ultrasonic sensors are inexpensive and independent of environmental conditions. Simulation results determined wheelchair direction based on the accompanying person’s position, suggesting that ultrasonic tethering can be used for side-by-side following. The simulation results can be used to determine circuit component parameters for developing an ultrasonic tethering prototype.
LibGuides: Amazon Career Choice IT Certifications: Computer User Support Specialist

Links to IT certifications related to career tracks in the UMGC Career Choice program + information registering and preparing for them. Certifications related to the Computer User Support Specialist track in UMGC's Amazon Career Choice program
Cultura, comunidad y matemáticas, una triología necesaria en las cotidianidades

De acuerdo con uno de los principios del constructivismo en el aprendizaje, la asimilacion y la comunicacion de las matematicas refiere que el individuo es quien construye su propio conocimiento en la interaccion social que establece con otros (el profesor y sus companeros del salon de clase). Por otro lado, hacemos eco a quienes, desde hace por lo menos una decada, establecen el desarrollo de habilidades para resolver problemas como una de las metas principales del aprendizaje de las matematicas. Con estos temas se busca hacer una reflexion sobre la naturaleza de los problemas sociales y la necesidad de simplificar la complejidad que los caracteriza desde la comunidad. Surge el concepto de la comunidad dentro del sistema social como un modelo posible que identifica los elementos relevantes y las relaciones mas importantes del problema que se esta simplificando. En conexion con este tema, se aborda el concepto de azar, su naturaleza, su presencia en la vida cotidiana y el papel que juega en ella. La Matematica se manifiesta en todo lo que miramos a nuestro alrededor. Si nos detuvieramos a pensar en el diseno de las ciudades, los medios de transporte, los telefonos moviles, el internet y toda la tecnologia existente, podriamos concluir que sin la Matematica nada de eso seria posible.Palabras clave: Comunidad, Matematica, problemas sociales, cultura. ABSTRACTAccording to one of the principles of constructivism in learning, assimilation and communication of mathematics refers that the individual is the one who builds his own knowledge in the social interaction that establishes with others (the teacher and his classmates). On the other hand, we echo those who, for at least a decade, have established the development of skills to solve problems as one of the main goals of learning mathematics. With these themes we seek to reflect on the nature of social problems and the need to simplify the complexity that characterizes them from the community. The concept of the community within the social system emerges as a possible model that identifies the relevant elements and the most important relationships of the problem that is being simplified. In connection with this theme, the concept of chance, its nature, its presence in everyday life and the role it plays in it are addressed. Mathematics manifests itself in everything we look at around us. If we stopped to think about the design of cities, means of transport, mobile phones, the internet and all the existing technology, we could conclude that without Mathematics none of this would be possible.Keywords: Community, Mathematics, social problems, culture.
HIT-NET – an information system enabling integration and visualisation of HITs in the DNA and fingerprint databases in conjunction with the criminal data concerning crimes and their perpetrators

Information is an extremely important element of a successful fight with and prevention of crime. Comprehensive use of the information collected by the Police on crimes, their perpetrators and traces left at incident scenes is a guarantee of crime detection and, as a result, an improvement in the level of safety and public order. The originators of the HIT-NET system appreciate the great potential in the databases operating in the Police, in particular forensic databases. The basis of the concept of the designed IT system was to provide an effective IT tool allowing to indicate the relationship between hits found in DNA and fingerprint databases, and then link them with criminal data. The system being under creation makes it possible to find relationships as well as analyse and graphically visualise the identified networks of connections between people, traces and crimes, together with their presentation on a map.
LibGuides: Using Academic Sources: Structure of a Scholarly Article

This is a companion guide to Finding Academic Sources. Its goal is to make student researchers more comfortable with using scholarly material in their own research.
SEX DISCOURSE IN SUHAILI‟S HARGA PERAWAN NOL RUPIAH

This research aims to explore sex discourse written in this novel. Sex education plays an important role in youth age. High school students are still in the process of searching identity so that the discourse that arises from the literary works they read will influence the knowledge change their perspective, get expressed in their behavior. Sex education is essentially an effort to provide knowledge about the function of reproductive organs by implanting morality, ethics and religious values avoid the abuse of the reproductive organs. To achieve this goal, this study uses Stuart Hall's representation theory (1997) and discourse approach by Foucault. This qualitative analysis look at data in words, phrases or sentences in the novel. The steps employed were 1) gathering the data about the young woman character 2) identifying the character‘s problems relating to her relationship 3) identifying sex education in the story 4) analyzing the influence of sex understanding to the characters. The findings of this research is sex education in the way of patriarchal world.
FAPIS: A Few-shot Anchor-free Part-based Instance Segmenter

This paper is about few-shot instance segmentation, where training and test image sets do not share the same object classes. We specify and evaluate a new few-shot anchor-free part-based instance segmenter FAPIS. Our key novelty is in explicit modeling of latent object parts shared across training object classes, which is expected to facilitate our few-shot learning on new classes in testing. We specify a new anchor-free object detector aimed at scoring and regressing locations of foreground bounding boxes, as well as estimating relative importance of latent parts within each box. Also, we specify a new network for delineating and weighting latent parts for the final instance segmentation within every detected bounding box. Our evaluation on the benchmark COCO-20i dataset demonstrates that we significantly outperform the state of the art.
Rules Extraction and Deep Learning for e-Commerce Fraud Detection

Deep learning methods and applications have become an integral part of all finance subfields. Fraud detection is one of these subfields where these applications managed to save billions of dollars every year. However, one weakness of these models is that we cannot understand what rules they follow to make their decisions. This paper aims to introduce a novel deep learning approach to detect fraud in e-commerce, taking into consideration the problem mentioned above by extracting if-then rules using CRED algorithm (a Continuous/discrete Rule Extractor via Decision tree induction) that employs decision trees to extract these rules. Besides using feature aggregation and re-sampling method on two highly imbalanced data-sets, we conducted a comparative study with previous work. The results show that our model gives better performance.
Sentiment Masyarakat Terhadap Virus COVID-19 Pada Instagram Menggunakan Algoritma Naïve Bayes Classifier

Corona virus or commonly referred to as COVID-19 is a type of disease that is very contagious and its spread is very fast and terrible that has reached the entire world, its spread is taking place and Indonesia is one of the countries affected by it, this disease is not only terrorizing human visions and threatening very quickly and killing human and animal lives in a very significant time tens of millions of people have died because of it causing its own sentiment based on the opinions contained in Instagram, this research was conducted to determine the impact of the covid-19 virus outbreak on Indonesian society by conducting a classification process using the naive Bayes classifier algorithm and the results of this study show the percentage in the level of seeing the accuracy of data testing so that it can be concluded that the use of this algorithm is very appropriate in the process of classifying a data.
Experimental estimation of the quantum Fisher information from randomized measurements

The quantum Fisher information (QFI) represents a fundamental concept in quantum physics. On the one hand, it quantifies the metrological potential of quantum states in quantum-parameter-estimation measurements. On the other hand, it is intrinsically related to the quantum geometry and multipartite entanglement of many-body systems. Here, we explore how the QFI can be estimated via randomized measurements, an approach which has the advantage of being applicable to both pure and mixed quantum states. In the latter case, our method gives access to the sub-quantum Fisher information, which sets a lower bound on the QFI. We experimentally validate this approach using two platforms: a nitrogen-vacancy center spin in diamond and a 4-qubit state provided by a superconducting quantum computer. We further perform a numerical study on a many-body spin system to illustrate the advantage of our randomized-measurement approach in estimating multipartite entanglement, as compared to quantum state tomography. Our results highlight the general applicability of our method to general quantum platforms, including solid-state spin systems, superconducting quantum computers and trapped ions, hence providing a versatile tool to explore the essential role of the QFI in quantum physics.