Reviewerly/exHarmony huggingface dataset:
Sparse encoding for more-interpretable feature-selecting representations in probabilistic matrix factorization

Dimensionality reduction methods for count data are critical to a wide range of applications in medical informatics and other fields where model interpretability is paramount. For such data, hierarchical Poisson matrix factorization (HPF) and other sparse probabilistic non-negative matrix factorization (NMF) methods are considered to be interpretable generative models. They consist of sparse transformations for decoding their learned representations into predictions. However, sparsity in representation decoding does not necessarily imply sparsity in the encoding of representations from the original data features. HPF is often incorrectly interpreted in the literature as if it possesses encoder sparsity. The distinction between decoder sparsity and encoder sparsity is subtle but important. Due to the lack of encoder sparsity, HPF does not possess the column-clustering property of classical NMF -- the factor loading matrix does not sufficiently define how each factor is formed from the original features. We address this deficiency by self-consistently enforcing encoder sparsity, using a generalized additive model (GAM), thereby allowing one to relate each representation coordinate to a subset of the original data features. In doing so, the method also gains the ability to perform feature selection. We demonstrate our method on simulated data and give an example of how encoder sparsity is of practical use in a concrete application of representing inpatient comorbidities in Medicare patients.
The improved local and global contrast image saliency detection algorithm

Contrast description is a very important and commonly used feature description method in the image saliency detection, according to the difference of contrastive region, the detection algorithm can be divided into local and global contrast algorithm. In this paper, firstly, the local contrast AC algorithm is improved, from two aspects of distance calculation method, weighting coefficient and multi-scale average, to improve the problem of emphasizing small and medium-sized areas of significant targets in the original AC algorithm, the experimental results show the effectiveness of the improved scheme. Then the global contrast RC algorithm is analyzed and improved, and the original RC algorithm is improved from two aspects of image pre-segmentation Algorithm improvement and significant center position optimization, the experimental results show the effectiveness of the improved scheme.
Arabic additions for Quranic orthographies

Author(s): Pournader, Roozbeh; Anderson, Deborah | Abstract: This is a proposal to add 39 Arabic Quranic characters to the international character encoding standard Unicode. The characters are used to represent text in minority orthographies, and many were contained in earlier documents submitted by others (cited on page 1 of this proposal).The characters are scheduled to be published in Unicode Standard version 14.0 in September 2021. A few modifications have been made to the names or location of characters in Unicode, so users should check the code charts when the Unicode Standard is published. The charts will be accessible at: https://www.unicode.org/charts/.
Application of Artificial Intelligence Technology in Computer Network Technology

Because of the problem of uneven energy consumption in a computer network, the theory of artificial intelligence technology is introduced. Based on the analysis of energy balance computer networks, artificial intelligence technology is applied to the research of energy balance in the computer network. Experiments show that this method enables better cooperation between the nodes of the computer network and maximizes the life cycle of the computer network.
AN OVERVIEW ON CLOUD COMPUTING FRAMEWORKS AND REVIEW ON CLOUD SECURITY SCHEMES

In recent years, Cloud computing has gained incredible recognition. Because of the massive complexities and size of the cloud there is been a threat all the time to the data from the internal and external entities. From the past few years cloud computing technology was the fastest growing segment in the IT filed. Extreme plenty of information has been stored in the cloud because of its convenience. In the face of the public relations neighboring in the cloud the consumers are unwilling towards make a proposal for their business in the cloud. Generally, internal entities are responsible for the theft data, this leads to audit the data integrity by the third party. Whereas the sensitive information was external entities kept in the cloud throughout the intellectual query fired up on the cloud. There were several tools and methodologies presented to attain any one of them out of these two main issues and extremely few exists to deal with both data integrity and sensitive information hiding simultaneously. A consecutive study of several existing schemes is provided too with a thorough probable security attacks discussion and their mitigations. The cloud architecture has several threatening issues the cloud service users need to be aware of the issues and the existing protective techniques. Hence in this paper a survey was held depends upon the different security an issue belongs to the cloud and also its defensive methodology. There are several other existing methodologies are there which can improving the features in the cloud and also reduces the risk in the cloud. This survey was more specific to different safety problems also defensive mechanism in cloud computing. This research approach exploits the scheme of managing both techniques thereby analyzing in depth the other past works.
AN ANALYSIS OF TEACHERS’ STRATEGIES IN TEACHING READING COMPREHENSION OF FIRST GRADE STUDENTS AT SMK SWASTA TUNAS KARYA BATANG KUIS

The objectives of this study were to investigate the strategies used by the English teacher for teaching reading comprehension and to find out the reasons why teacher used those strategies in teaching reading comprehension of first grade students at SMK Swasta Tunas Karya Batang Kuis. This research used descriptive qualitative method. The subjects of this study were two English teachers who teach at SMK Swasta Tunas Karya Batang Kuis, Deli Serdang especially at first grade students. The instruments of this study were recording, interview and documentation. The findings found that, the first teacher used two strategies, Scaffolding and QARs (Question Answer Relationship). Scaffolding strategy student can develop about idea which readable by the student. QARs (Question Answer Relationship), the teacher able to know how far their students understand what the teacher has given to them. The second teacher used conventional strategy. This strategy should be selected based on its appropriateness and effectiveness to the learning process so that its use will enable the teacher to explore the students’ ideas and to help them read in a better way. Based on the analysis inteview, the reason why teachers used those types of strategies on students’ reading comprehension were because to make the student understand the reading text and the students guided to more focus on the text. To help their students overcome difficulties in comprehending the texts, especially the various aspects of reading such as the main idea, detailed information, making inferences and noting references and also teacher could help students in developing the meaning contained in the text reading so that students more easily understand the contents of reading. Keywords: Teachers’ Strategies, Reading Comprehension
Delegated RingCT: faster anonymous transactions.

We present a modification to RingCT protocol with stealth addresses that makes it compatible with Delegated Proof of Stake based consensus mechanisms called Delegated RingCT. Our scheme has two building blocks: a customised version of an Integrated Signature and Encryption scheme composed of a public key encryption scheme and two signature schemes (a digital signature and a linkable ring signature); and non-interactive zero knowledge proofs. We give a description of the scheme, security proofs and a prototype implementation whose benchmarking is discussed. Although Delegated RingCT doesn't have the same degree of anonymity as other RingCT constructions, we argue that the benefits that the compatibility with DPoS consensus mechanisms brings constitutes a reasonable trade-off for being able to develop an anonymous decentralised cryptocurrency that is faster and more scalable than existing ones.
Optimal Broadcast Encryption from LWE and Pairings in the Standard Model.

Broadcast Encryption with optimal parameters was a long-standing problem, whose first solution was provided in an elegant work by Boneh, Waters and Zhandry [BWZ14]. However, this work relied on multilinear maps of logarithmic degree, which is not considered a standard assumption. Recently, Agrawal and Yamada [AY20] improved this state of affairs by providing the first construction of optimal broadcast encryption from Bilinear Maps and Learning With Errors (LWE). However, their proof of security was in the generic bilinear group model. In this work, we improve upon their result by providing a new construction and proof in the standard model. In more detail, we rely on the Learning With Errors (LWE) assumption and the Knowledge of OrthogonALity Assumption (KOALA) [BW19] on bilinear groups.
Complexity of Scorpion Solitaire and applications to Klondike.

Abstract Scorpion is a puzzle game that falls under the category of Solitaires. The problem of determining whether a starting configuration of a Solitaire game (generalized to contain an arbitrary number of cards) can lead to a winning configuration has been studied from the perspective of Computational Complexity for some of the most popular Solitaires, namely Free Cell [1] , Klondike [2] and Spider [3] , all resulting in hardness proofs. Scorpion, though, has a unique twist compared to the aforementioned ones: each card can be moved to cover only one other card. This property narrows the set of possible moves and makes a worthwhile issue investigating whether the same problem proved NP-complete for Free Cell, Klondike and Spider falls in P as far as Scorpion is considered. In this paper we prove that the problem of deciding whether an n-card s-suits initial configuration of Scorpion allows for a winning sequence of moves is NP-complete for any s ≥ 1 , and it remains so also when the initial configuration contains no face down (locked) cards and under a constant ratio constraint between deck size and tableau size. As a side effect of our results, we have also succeeded in negatively answering a question posed in [2] , in that we prove that it is NP-complete to decide whether an n-card one red suit-one black suit configuration of the Klondike Solitaire allows for a winning sequence of moves.
교실에 적용 가능한 영어 융합 수업 방법: 화제 중심으로

This study examined how to teach STEAM subjects in the elementary English classroom. For elementary students of English, STEAM teaching is so difficult to learn in the classroom. So in this research, a different kind of STEAM teaching method was designed for them. STEAM teaching method was made to be applicable to the elementary English classroom. In the elementary classroom, every teacher teaches many subjects to his/her students. So teachers are able to teach English utilizing other subjects for forty minutes. The procedure of STEAM teaching method is as follows: At first, teachers need to choose appropriate topics when they teach their students in the classroom. When it comes to how to teach STEAM subjects, topic-based English teaching is of paramount importance. In this research, topic ''snow'' was chosen for the third graders. Secondly, they need to connect it to other subjects. In this research, the snow-related subjects were connected to topic ''snow''. It is desirable that in the Korean educational context, STEAM teaching should be connected to other subjects focused on topic-based teaching. It can be concluded that teachers are able to teach their students using other subjects in the elementary English classroom. It is suggested that teachers develop and devise how to teach STEAM subjects in the Korean context. It is also recommended that elementary English teaching should be focused on other subjects and real situations.
Alleviating Noisy Data in Image Captioning with Cooperative Distillation.

Image captioning systems have made substantial progress, largely due to the availability of curated datasets like Microsoft COCO or Vizwiz that have accurate descriptions of their corresponding images. Unfortunately, scarce availability of such cleanly labeled data results in trained algorithms producing captions that can be terse and idiosyncratically specific to details in the image. We propose a new technique, cooperative distillation that combines clean curated datasets with the web-scale automatically extracted captions of the Google Conceptual Captions dataset (GCC), which can have poor descriptions of images, but is abundant in size and therefore provides a rich vocabulary resulting in more expressive captions.
The Negative Impact of Racial Discrimination Experienced by African-American People Reflected in Angie Thomas’ The Hate You Give

Abstract T his study analyzes Negative Impact of Racial Discrimination Experienced by African-American People as Reflected in Angie Thomas' The Hate You Give using Racial Discrimination approach. It shows some forms of negative impact from racial discrimination experienced by them. This study used descriptive qualitative method. The data of the study consisted of sentences, prologues, monologues and dialogues that was obtained by reading the novel, identifying, classifying, reducing, analyzing the data as qualitative. The primary data fully dealt with The Hate You Give novel, the secondary data were cited from some sources such as books, journals, and articles. The study results finding, there are health problem, wellbeing problem and influencing emotional reactions. Keywords: African-American People, Racial Discrimination, Negative Impact.
The Effect Of Implementing The Story Map Technique On Students In Writing Ability Narrative Text

This research aimed to find out whether there was any significant effect of using Story Map technique on students’ English writing ability. The design was quasi experiment. The sample consisted of 58 students from the state institute of Islamic studies of Bengkulu, Indonesia. Descriptive and inferential statistics were used in data analysis. The instrument was essays test. The research conclusions were as follows; Firstly, Story map technique was better than cooperative learning STAD. Secondly, Story map technique improved the students’ writing ability in  the aspect of content. Thirdly, Story map technique improved the students’ writing ability in the aspect of identifying organization, Fourthly, Story map technique did not improved the students’ writing ability in the aspect of vocabulary. Fifthly, Story map technique improved the students’ writing ability in the aspect of identifying language use. And the last Story map technique improved the  students’ writing ability in the aspect of mechanics. For further researchers, it is suggested to carry out a similar research on conducting the study in a longer time because it will give a bigger significant effect to the students’ writing ability.
Missing Temperature Data Recovery Methods Based on Smoothness, Bandlimitedness and Sparseness Priors

In this paper, three missing temperature data recovery methods using smoothness, bandlimitedness and sparseness priors are presented. First, the temperature data collected from the sensor network is represented by graph signal such that graph Laplacian matrix (GLM) and graph Fourier transform (GFT) can be employed to develop the missing data recovery methods. Second, the smoothness measure of graph signal is defined by GLM and the recovery problem based on smoothness prior is formulated as an optimization problem whose solution can be obtained by solving the matrix inversion. Third, a recovery method based on bandlimitedness prior in GFT domain is studied and an iterative method is used to get the recovery data. Fourth, the sparseness prior in GFT domain is applied to estimate the missing temperature data by the iterative thresholding method. Finally, real temperature data collected in Taiwan is used to evaluate the performance of three recovery methods based on different priors.
Marketplace Interaktif Jasa IT

Limited information is sometimes a problem faced due to the publication of service is only from friends or relatives. Service vendors also have constraints in terms of promotion so that not all people know about vendor information that provides IT services. Preliminary research conducted on 25 respondents regarding IT services in Gorontalo District and Gorontalo City reveals 75% of respondents choose IT service that are often used, such as mobile service, and 64% laptop service. However, the problem is that 64% of respondents state that it is difficult to get information about IT service in Gorontalo District and Gorontalo City. This research aims to build an interactive IT service marketplace application that can help interaction between customers and service vendors. The system development method used is the Prototype method by using the PHP programming languge and the MySQL database. The result of this research is to make customers (user) easier to find information on service vendors, types of services provided, price details, vendor portofolios in the form of images and videos, location in the form of google maps, and to assist service vendors in promoting their services. Keyword s : Marketplace, IT Service, Prototype
Designing Policy Network with Deep Learning in Turn-Based Strategy Games

Research on artificial intelligence (AI) has experienced a substantial stride since the advent of the AlphaGo, progressing the application of deep learning techniques for the game application. However, significant research is still unpublished in the field of turn-based strategy games, owing to the complexity of the game structure and its computational problem. To apply deep learning to turn-based strategy games, a policy network created from match data was developed from learning game records. The neural network design used as a policy network is integrated into the turn-based strategy games, using a recurrent neural network to reduce the number of output neurons and to divide the output structure into original positions, destinations, and attack positions. Using the state and action data as a database, the game data are generated from the learning map based on the competition with the Monte Carlo Tree Search (MCTS) algorithm. However, the produced policy network demonstrates a superior performance against the MCTS algorithm with a winning rate of over $$50\%$$ on the learning maps, and over $$40\%$$ on the validation maps. In the game, the thinking time for the deep learning is extremely short since this it is performed by inference only, whereas MCTS thinking the time is approximately 5 to 10 s per move.
Techniques for Behavior Lie Detection with the Aid of Physiological Signals: A Review

Emotional intelligence is an extremely valued aspect of intelligence therefore; machine intelligence needs to encompass emotional intelligence. Intensive research has been carried out in this field to enable machines to understand emotional states of human. Non-verbal communication is major mode of expression among humans and it constitutes of gestures, facial expressions etc. Facial expressions can be deceptive and a person might fake his/her emotional state by the usage of facial expressions. Physiological signals can be used in conjunction with facial expressions to detect a behavioral lie. It is of prime importance to automate this task. In this paper, we survey various techniques which make use of machine learning and physiological signals for detection of behavior lie. Identification of robust physiological signals yielding accurate results which aid in in the identification of emotional state of an individual. Survey also aims at identification of combination of the type of physiological signal and the classification algorithm used for classification of the emotion.
Social Media Manipulation, Autonomy and Capabilities

To understand why social media platforms’ potency as a tool for manipulation is inadequately apprehended through content-neutral, autonomy-focused analyses, this paper starts with an overview of the structural conditions that allowed such platforms to acquire their considerable regulatory power. Among these conditions, two elements stand out: the hidden -rather than non-deliberative- influence as well as its precise and comprehensive scope. While the hidden influence is what sets social media apart from other, non-manipulatory tools of influence, it is the comprehensive scope that exposes the limits of ‘value-neutral’ autonomy-based frameworks. When we are manipulated into acquiring a certain trait, there is normally enough left of us that is free of manipulatory influence to anchor some after-the-fact endorsement or alienation test. As an alternative to ‘value-neutral’ autonomy-based analyses, this paper analyses the harm that stems from such systematic manipulation through a capability account of autonomy. Of all the capabilities that are essential to what von Humboldt would call ‘self-realisation’, the capacity to imagine oneself as a different person is critical. It is also the capability that is most endangered by social media’s drive to optimise our online (and offline) environment to maximise user engagement.
Pengembangan bahan ajar syair berbasis digital bagi guru-guru SMP di Kabupaten Bantul

This community service activity aims to improve the ability of teachers to develop poetry teaching materials, especially digitally. The method used is as follows. (1) Providing training on understanding the concepts of teaching materials and the concepts of poetry; (2) training the teacher's ability to write verse texts using various methods; (3) training teachers to use digital applications in developing teaching materials (ppt) which are presented in the instructional videos. The result of this activity is that teachers have an understanding of the concept of poetry, have various poetry teaching materials, and are able to make digital-based teaching materials. The results of this activity have an impact on the ability of teachers to use various digital information in presenting learning. In addition, this activity can also train participants' self-development as teachers and in the learning process.
SwiftUI Building Blocks

In this chapter, we’ll look at the variety of building blocks provided by SwiftUI. SwiftUI, like UIKit, provides various elements we can use to build out our UI. We’ve already seen the Text UI element. That’s just the start.
NEW MODEL OF MUSEUM EDUCATION ACTIVITIES IN THE 21ST CENTURY

The article outlines the need to create a new didactic model of museum education activities, which will form the basis for its interaction with school. This need arises from visitors’ personality alternations, which cause education system changes as well as changes in the principal functions of the museum. The new model of school-museum interaction is based on a sociocultural approach, which is considered to be a methodological basis for education activities. . The new form of interaction involves the introduction of new didactic tools into museum education activities.