Reviewerly/exHarmony huggingface dataset:
Analyzing Fuzzy Phrases for Emotion Detection Using Distance Based Approach

With the increasing popularity of social media platforms such as Twitter and Facebook the amount of text data available is humungous. Extracting opinions and polarity from this text data available is a hot topic for research work. Many researchers have developed different methods to tackle the problem of sentiment analysis but the main focus by and large has always been on classifying the general tweets. Meanwhile, a large number of fuzzy phrases that assert significant impact on a sentence’s polarity is left untouched. Thus, solving these fuzzy phrases to get membership values for various emotions effectively could widen the scope for sentiment analysis. In this study, we are using one of the most trending topics in India i.e., CAA, NPR and NRC. We are classifying tweets into different emotions to analyze public outlook and then uses the fuzzy sentiment phrases concept to analyze the strength of emotions based on the distance of intensifiers and diminishers from the fundamental words. In our experiment, we got a precision of 0.815 for strong sentiment and 0.713 for weak sentiment, thus showing our method work very well on FSPs.
Primi appunti sulla manipolazione dell’assegnazione del genere in sanvalentinese

"Preliminary Notes on Gender Assignment Manipulation in Sanvalentinese. This contribution draws attention on a peculiar feature of the Italo-Romance dialect spoken in San Valentino in Abruzzo Citeriore, where a subgroup of feminine nouns displays both feminine and masculine plural options. Gender shift to masculine in the plural seems to be exploited to obtain semantic differences related to countability and evaluation, namely to refer respectively to weak differentiation and pejorative meaning. This phenomenon, known as recategorization or gender assignment manipulation, is rather common in African languages of different families, but less pervasive and systematic in Romance. Gender and recategorization in Sanvalentinese are discussed in relation to inflectional classes, of which this contribution provides a sketch. Keywords: gender, number, recategorization, inflectional class, overdifferentiation, collective plural, Romance dialectology, metaphony."
PANDEMI COVID-19 SEBAGAI JEMBATAN PERKEMBANGAN DIGITALISASI PEMBELAJARAN PAI

Changing times are inevitable, changes in conditions will also affect life, and adjusting is the best option. One of the situations that must be faced today is the covid-19 pandemic which brings so many changes in every aspect., and one of them in school learning. Current conditions require us to limit the intensity of social contact, so that school learning is carried out online. This is certainly a new thing found in the world of Education in Indonesia, Online learning is certainly not as effective as direct learning in the class, but this situation requires us to manage learning with based. This should instead be used in developing our potential using in learning, especially in PAI learning. In addition, pai learning based on digitization can also be developed to process learning to be more creative and innovative, so that the word stuttering technology is no longer felt. Therefore, this research aims to utilize digitization as a means of processing innovative PAI learning.
Estimating the dimensionality of face space empirically

Learned generative models of human identity and appearance, such as those that result from training deep neural networks on large databases of face photographs, are typically high-dimensional, representing each face as a point in a space with hundreds to thousands of dimensions. However, social perception of faces is low dimensional, relying on only a handful of key dimensions. What is the dimensionality of face space in the mind of an observer? To estimate the dimensionality, we begin with a simple observation: for any given person, there are many unrelated people who look similar to them. Consider, for example, the phenomena of "twin strangers" and "doppelgängers", where strangers look almost impossibly alike. Next, we note that the very concept of strong resemblance exists only in low dimensional spaces. When points are well-distributed in high dimensional spaces, nearest neighbors (i.e., a person and their closest doppelgänger) are nearly as far apart as randomly selected pairs of points (i.e., a person and a random stranger). By contradiction, face space must be low-dimensional. How low? Using the scaling relationship between dimensionality and nth-nearest-neighbor distances, it becomes possible to empirically estimate the dimensionality of face space by measuring the ratio of JNDs between random pairs of faces and faces paired with their nearest neighbors. In an experiment, we estimated this ratio empirically. To estimate the ratio, we first sampled a set of faces from a trained neural network (StyleGAN; Karras, Laine, & Aila, 2018). Next, we measured the distance between each pair of faces in JNDs through a psychophysical adjustment procedure. Finally, we computed the ratio of nearest-neighbor distances to random-neighbor distances. We found that the ratio, 0.76 [0.73, 0.79; 90% CI], implies a dimensionality of human face space between 7 and 12 dimensions.
Probabilistic Regression using Conditional Generative Adversarial Networks

Regression is a central problem in statistics and machine learning with applications everywhere in science and technology. In probabilistic regression the relationship between a set of features and ...
LibGuides: Research Introduction: InterLibrary Loan

With the challenges presented by the Fall 2020 semester and the increased dependence on the UVA Library's online resources, this guide is intended to walk you through the basics of access to our online databases as well as tips and tricks for honing your
BlaBla: Linguistic Feature Extraction for Clinical Analysis in Multiple Languages

We introduce BlaBla, an open-source Python library for extracting linguistic features with proven clinical relevance to neurological and psychiatric diseases across many languages. BlaBla is a unifying framework for accelerating and simplifying clinical linguistic research. The library is built on state-of-the-art NLP frameworks and supports multithreaded/GPU-enabled feature extraction via both native Python calls and a command line interface. We describe BlaBla's architecture and clinical validation of its features across 12 diseases. We further demonstrate the application of BlaBla to a task visualizing and classifying language disorders in three languages on real clinical data from the AphasiaBank dataset. We make the codebase freely available to researchers with the hope of providing a consistent, well-validated foundation for the next generation of clinical linguistic research.
Examination of the Quality of Special Conditions for Education by Students with Disabilities as a Condition for Increasing the Effectiveness of Psychological and Pedagogical Support

The article considers practical and organizational aspects that must be observed when examining the conditions of education for children with disabilities. These conditions should have their own specifics and comply with the recommendations of the Psychological, Medical and Pedagogical Commission (PMPC). The presented materials are practical and applied developments of specialists of the Center of Psychological, Pedagogical, Medical and Social Assistance “Lado”. They are used by the experts of the Commission when monitoring the activities of psychological and pedagogical councils of educational organizations on the territory of Polevskoy city. The purpose of the monitoring is to assess the extent to which the PMPC recommendations are taken into account in the work of the councils. The article also reveals the potential of the examination procedure as a systemic analysis aimed at assessing — in a particular institution — the quality of special conditions necessary for the education of children with disabilities and increasing the effectiveness of their psychological and pedagogical support.
Collaboration, Sonic Imagination, and Dramaturgy in Sound Design: A Conversation with Deanna H. Choi and Richard Feren

This interview with prominent Canadian sound designers Deanna H. Choi and Richard Feren excavates the conventions of sound design, elucidates the nature of sound in theatrical space, and grapples with questions about the art of listening and the veracity of realism.
Pembuatan Aplikasi Rapor Siswa Berbasis Web Di Sd Slamet Riyadi Untuk Pengguna Admin

Abstrak - Proyek akhir ini bertujuan untuk membuat sebuahaplikasi web rapor SD Slamet Riyadi dalam memberikaninformasi berupa nilai harian dan akhir semester siswakepada wali siswa secara daring.Berdasarkan penelitian,literatur, dan wawancara yang sudah dilakukan, kemudiandirancang aplikasi informasi rapor SD Slamet Riyadiberbasis web menggunakan metode Development Life Cycle(SDLC) model waterfall menjadi solusi untuk menyelesaikanmasalah yang ada. Aplikasi rapor siswa berbasis webmemudahkan guru untuk menyampaikan nilai harian dannilai semester kepada siswa secara daring.Perancangansistem dilakukan dengan bahasa pemodelan denganmenggunakan DFD. Sedangkan pemograman yang dipakaiadalah PHP dengan menggunakan database MySQL.Penulismenguji menggunakan metode user acceptance test dan blackbox.Dalam metode user acceptance test dilakukan, penulismendapat hasil 100% penilaian terhadap tampilan padaaplikasi, menu-menu pada aplikasi yang mudah dipahami,aplikasi berguna untuk guru, aplikasi berguna untuk sekolah,serta aplikasi telah sesuai dengan yang diharapkan guru dari7 responden.Dalam metode black box penulis mendapatkanhasil berhasil dalam pengujian fungsionalitas login,fungsionalitas ubah password, fungsionalitas input nilaiharian, fungsionalitas input nilai semester, dan fungsionalitasupload berkas.Kata kunci:SD Slamet Riyadi, waterfall, DFD, PHP,useracceptance test, black boxAbstrac - This final project aims to create a web applicationfor Slamet Riyadi Elementary School's report card inproviding information in the form of daily and final semesterscores to student guardians online. Based on the research,literature, and interviews that have been carried out, then aweb-based report card information application is designed atSlamet Riyadi Elementary School. using the DevelopmentLife Cycle (SDLC) method of the waterfall model is asolution to solving existing problems. The web-based studentreport card application makes it easy for teachers to conveydaily scores and semester scores to students online. Thesystem design is carried out in a modeling language usingDFD. While the programming used is PHP using the MySQLdatabase. The author tests using the user acceptance test andblack box methods. In the user acceptance test method, theauthor gets a 100% assessment of the appearance of theapplication, the menus in the application are easy tounderstand, the application useful for teachers, applicationsare useful for schools, and applications are in accordancewith what teachers expect from 7 respondents. In the blackbox method the authors get successful results in testing loginfunctionality, change password functionality, daily valueinput functionality, semester value input functionality, andfunctionality upload files.Keyword: SD Slamet Riyadi, waterfall, DFD, PHP,useracceptance test, black box
Digital Image Steganography Scheme for Speech Signals in the Discrete Wavelet Transform Domain

In recent years, the evolution and expansion of the multimedia world has allowed digital images to be widely used as a carrier medium for facilitating the sending and receiving of confidential digital content such as text, audio and images. However, there are few steganographic schemes that hide digital speech signals into digital images; also, the state-of-the-art methods have some disadvantages such as low embedding capacity, low quality in the modified image, and/or low audible quality in the recovered speech signal. In this paper, a new steganographic scheme that hides a digital speech signal into a color image is presented, where the embedding process is performed in the HL and LH channels of the first decomposition level of the discrete wavelet transform (DWT) over the YCbCr color space; additionally, a chaotic map method is implemented to encrypt the speech signal and to spread it throughout the whole image. Experimental results have demonstrated that the proposed scheme results in better performance against other state-of-the-art methods, due to their ability to embed and recover speech signals with duration up to 16.384 seconds using color images of 512×512 pixels, obtaining 32 dB and 0.92 in PSNR and SSIM, respectively for the stego-image, and 41 dB in SNR for the recovered speech signal.
Thrombocytopenia: A Small Review

A normal human platelet count ranges from1.5 lakh to 4.5 lakh blood platelets, Platelets helps in blood clotting during any injuries happens to body. Which stops the bleeding and protect the body from blood loss, But when you face a decrease in platelet count it cause Thrombocytopenia. If your count falls under 150,000 then possibilities is you are suffering from Thrombocytopenia. Its not a big deal for most of the people but in few cases it shows sever form such as spontaneously bleeding from gum, eyes, ear, bladder or too much of bleeding at the time of facing any injuries.
LibGuides: TLA Edition - The Game is in There: Creating Gamified Library Instruction: Basic Copyright

LibGuide to accompany workshop presentation of The Game is in There: Creating Gamified Library Instruction by Tricia Boucher & Megan Ballengee at the Texas Library Association Conference on April 18, 2019.
Training Multimodal Systems for Classification with Multiple Objectives.

We learn about the world from a diverse range of sensory information. Automated systems lack this ability as investigation has centred on processing information presented in a single form. Adapting architectures to learn from multiple modalities creates the potential to learn rich representations of the world - but current multimodal systems only deliver marginal improvements on unimodal approaches. Neural networks learn sampling noise during training with the result that performance on unseen data is degraded. This research introduces a second objective over the multimodal fusion process learned with variational inference. Regularisation methods are implemented in the inner training loop to control variance and the modular structure stabilises performance as additional neurons are added to layers. This framework is evaluated on a multilabel classification task with textual and visual inputs to demonstrate the potential for multiple objectives and probabilistic methods to lower variance and improve generalisation.
LibGuides: Enhanced Library Card: Enhanced Library Card

Want to apply for an Enhanced Library Card (a library card with your name, photo, and personal information)? This guide will walk you through the process!
Neural Language Modeling for Named Entity Recognition

Named entity recognition is a key component in various natural language processing systems, and neural architectures provide significant improvements over conventional approaches. Regardless of different word embedding and hidden layer structures of the networks, a conditional random field layer is commonly used for the output. This work proposes to use a neural language model as an alternative to the conditional random field layer, which is more flexible for the size of the corpus. Experimental results show that the proposed system has a significant advantage in terms of training speed, with a marginal performance degradation.
The Text Complexity Library

This paper introduces a new resource for computing textual complexity. It consists in a Python library for calculating different complexity metrics for several languages from plain texts. The resource has been made available to the research community and provides all needed instructions for its installation and use. To our knowledge, it is the first time a resource like this is published, so we expect many researchers can profit from it.
EFL 학습자들의 유창한 발화를 위한 절차기억 활성화 방안 연구: 암기와 반복을 중심으로

This study’s aim is to identify and suggest a method for improving EFL learners’ fluency by activating their procedural memory through memorization and repetition activities. Improving L2 English learners’ fluency requires the frequent use in EFL classes of activities that depend on the procedural memory system, which underlies the implicit learning and processing of a wide range of perceptual-motor and cognitive skills (Ullman & Lovelett, 2016, p. 3). Four college students, all English majors with advanced reading skills, participated in this research. They selected three scenes from the movie 500 Days of Summer (Webb, 2009) and discussed them through the lens of their personal experiences with relationships. Subsequently, participants completed three rounds of memorization and repetition activities with one-week intervals between each round. The participants were required to express the characters’ feelings by memorizing and repeating the selected scenes. The study’s results indicate that all participants were initially reluctant to attempt memorization and repetition activities; however, after trying them, they became more willing to do so. Moreover, their attitudes towards memorizing and repeating became more positive. The participants’ mistakes in memorizing the movie scenes were reduced throughout the research process. Therefore, introducing more memorization and repetition activities, which have the capacity to activate students’ procedural memory, will improve the fluency of L2 learners. (Kookmin University)
IMPLEMENTASI ALGORITMA KRUSKAL DAN ALGORITMA PRIM SUATU GRAPH DENGAN APLIKASI BERBASIS DESKTOP

A graph has several algorithms in its solution, including the Kruskal algorithm and Prim algorithm, both of which are greedy algorithms for determining the minimum spanning tree. Completion of graphs is useful in various fields of life, so an accurate graph calculation is important. Making an application to solve a graph, especially the Kruskal algorithm and Prim algorithm aims to facilitate the work of the graph so as to produce an accurate final result. The flow of research carried out are: a background review of research, study of literature and relevant literature, application design, building desktop-based applications, as well as implementation and application tests. The level of technological readiness or TKT in this research is based on self-assessment which is at level 7, meaning the prototype demonstration system in the actual environment, with details of the TKT indicators as follows: TKT indicator 1 is met, TKT indicator 2 is met, TKT indicator 3 is not met, TKT indicator 4, TKT indicator 5 are met, TKT indicator 6 are met, TKT indicator 7 is met, TKT indicator 8 and 9 are not met. The application that has been built is useful for completing a graph with the Kruskal algorithm and Prim algorithm. This research was conducted to answer the crucial needs of a weighted graph settlement application.
LibGuides: Using the Library Remotely: Use the Public Library Online

This guide will help faculty and students navigate the library resources during full or partial campus closure events.
Imagination in Musical Composition, Performance, and Listening: John Cage’s Blurring of Boundaries in Music and Life in 4′33″

AbstractIn 1952 in the Maverick Concert Hall near Woodstock, New York, pianist David Tudor performed John Cage’s composition 4′33″ for the first time. This groundbreaking piece, which involved four minutes and thirty-three seconds of silence, changed the way music could be perceived and viewed. It suggested that music could include the extraneous sounds of life and not just the intentional sounds of a traditional musical concert. This work challenged the imagination of the composer, the performer, and the listener to consider silence and other types of noise as music. With the reference point of John Cage and his composition 4′33″, this essay explores imagination in musical composition, performance, and listening. It analyzes ideas and theories from world-renowned composers and contemporary theorists to better understand the role of imagination in music. The essay also suggests that by blurring the boundaries between music and everyday life, Cage upsets divisions between art and life in general, thereby encouraging people to engage in the world around them with greater awareness, perception, and imagination.
Características prosódicas de enunciados numéricos: um estudo de produção de foco

Focus is a linguistic phenomenon whereby elements in an utterance stand out of their environment. The studies about prosodic marking of information status show that there are similarities and differences across languages and, in general, they use organized syntactically words in sentences. But, what about numbers? The current study aims to analyze prosodic features of numerical utterances in Brazilian Portuguese and Dutch. Twenty speakers of both Dutch and Brazilian Portuguese read out such sequences, in which target numbers were inserted that could either represent new (firstly mentioned) or given (repeated) information. For this, we conducted a production experiment in order to select the corpus composed of numbers placed in different focus conditions within groupings with nine numbers. The results demonstrated interesting similarities and differences in the behavior of acoustic measures of duration, mean pitch and mean intensity in both languages and in all conditions and positions in which the numbers were arranged. Speakers of Dutch, for instance, more consistently marked focused information than Brazilian speakers, albeit that this depended on the structural position of a number in a sequence.
ertugrul ghazi quotes

Love Quotes - Why They Are Popular Among the New Generation?It is surprising to consider the enormous popularity of love quotes and sayings among the
A Study on Soft-Core Processor Configurations for Embedded Cryptography Applications

FPGAs provide a platform for embedded designs to achieve impressive performance with minimal resources by targeting specific applications. This platform is especially desirable for embedded cryptography applications, which are increasingly needed in resource constrained embedded devices. In this work, tests were performed on the Xilinx MicroBlaze soft-core processor in order to accelerate the Rivest-Shamir-Adleman (RSA) algorithm and determine the platform’s success under metrics such as power, performance, and logic utilization. Each of these tests enabled hardware features on the processor commonly used in embedded applications in order to determine the ideal configuration for RSA applications. Minimum area, high performance, maximum frequency, and frequency optimized implementations were produced in order to survey tradeoffs that exist within these various configurations. The result of these tests indicate that targeted hardware has the ability to achieve multi-fold performance improvements compared to hardware not optimized around the RSA algorithm.