Reviewerly/exHarmony huggingface dataset:
An Efficient Asynchronous Method for Integrating Evolutionary and Gradient-based Policy Search

Deep reinforcement learning (DRL) algorithms and evolution strategies (ES) have been applied to various tasks, showing excellent performances. These have the opposite properties, with DRL having good sample efficiency and poor stability, while ES being vice versa. Recently, there have been attempts to combine these algorithms, but these methods fully rely on synchronous update scheme, making it not ideal to maximize the benefits of the parallelism in ES. To solve this challenge, asynchronous update scheme was introduced, which is capable of good time-efficiency and diverse policy exploration. In this paper, we introduce an Asynchronous Evolution Strategy-Reinforcement Learning (AES-RL) that maximizes the parallel efficiency of ES and integrates it with policy gradient methods. Specifically, we propose 1) a novel framework to merge ES and DRL asynchronously and 2) various asynchronous update methods that can take all advantages of asynchronism, ES, and DRL, which are exploration and time efficiency, stability, and sample efficiency, respectively. The proposed framework and update methods are evaluated in continuous control benchmark work, showing superior performance as well as time efficiency compared to the previous methods.
LITERACY PRACTICE: READING COMMUNITY AND ITS CONTRIBUTION TO SELF-READING

The reading community is the local group of Indonesian in urban area bear on reading. The member provides an opportunity for members to support literacy during the community day and extend reading out of the community day. The reading community activities are individual and grouping reading practice. Besides, the members’ background is in different age and study background. The present study designed to explain the reading members’ on reading motivation, problem and strategy. Furthermore, the researcher explained more about the literacy practice, such as self-reading to depict the reading activity of the member, in terms of time and frequency. The researcher used a mixed method. It is integrating between quantity and qualitative data. Observation applied to get a further background of the members’ reading motivation, problem as well as strategy. Besides, the one on one interview used for describing the self-reading. The respondents of the research are 20 members in a group of the reading community. The members were selected randomly. The result showed members’ reading motivation, reading problem and reading strategy. Those covers curiosity, aesthetic involvement, challenge, recognition, and grade. A reading problem consists of low memory to remember, progressive decline in visual sensitivity, a result of the normal process affect reading, poor reading skill and feel out of place in the conversation that moves quickly. Reading strategy such as using prior knowledge/previewing, predicting, identifying the main idea and summarization, questioning, making inferences, visualizing as well as their self-reading in terms of time and frequency.
Performance Comparison Study of Clusters on Public Clouds

As cloud computing has become the more popular choice to host clusters in recent times there are multiple providers that offer their services to the public such as Amazon web services, Google cloud ...
IEEE Access Special Section Editorial: AI-Driven Big Data Processing: Theory, Methodology, and Applications

With the rapid development of network infrastructures and personal electronic products, big data generated from the Internet, sensing networks, and other equipment are rapidly growing and have received increasing attention in recent years. Recently, artificial intelligence (AI)-driven big data processing technologies based on pattern recognition, machine learning, and deep learning have been intensively applied to dealing with large-scale heterogeneous data. However, challenges still exist in the development of AI-driven big data processing. In order to meet the existing challenges, it is important to consider how to analyze and process big data in a way that is more effective and reduces costs, how to discover and understand knowledge from the data, and how to generalize and transfer these discoveries into other application fields.
India’s iGen : Growing Up with Nomophobia

Sometime in the middle of May in 2017—at the height of summer in India—a grainy mobile phone video began to make its way across the country. The recording rocketed from phone to phone, first in the eastern state of Jharkhand and then nationally, circulating among groups on WhatsApp. The video was shot in portrait, showing a man beaten and bloodied, crumpled up on a patch of barren earth. His white undershirt was rolled up to his chest and drenched in blood. Encircling him was a small mob of men armed with cane sticks. Several appeared to be filming the proceedings on their phones. “You son of a bitch,” someone screamed. “Motherfucker! We’ll kill you!” A cacophony of abuse was under way. The man was pleading for his life, but his cries were drowned out by a rising tide of expletives and fury. The mob continued to beat the man. The video cut to black. The subject, Sheikh Haleem, was killed. He was only twenty-eight. Six others were killed as well, across two separate vigilante attacks. It was as if a cloud of rage had suddenly descended on a small part of Jharkhand, propelling village men to embark on extrajudicial murder sprees. It turned out that a rumor had spread that a group of strangers was abducting children from nearby villages. The rumor made its way onto WhatsApp; the rumor morphed into “news”; the news, circulating from phone to phone, villager to villager, was weaponized; a group of locals decided to act. The rest happened very quickly. A mob was formed. Strangers were produced, beaten up, and murdered. Justice was delivered. The recordings of the killings were duly sent back out into the ether of WhatsApp, completing the cycle of horror. Jharkhand’s police were befuddled. There had been no reported cases of child abductions. The rumor was completely unfounded. “Rumors have always flourished in India,” says Pratik Sinha, the founder of a myth-busting website, AltNews.in. “But it’s become exponentially dangerous because of the internet.”
HYBERT TEAM AT DIALOGUE EVALUATION 2020: TRANSFORMER FOR HYPERNYM EXTRACTION

The report describes the system developed by the HyBert team for the taxonomy enrichment task at Dialog Evaluation 2020 [12]. In this work we investigate the ability of large pre-trained language models to discover hyponym-hypernym relations. We probed state-of-the-art Transformers on the hypernymy task to evaluate implicit hierarchical knowledge captured during self-supervised training. To do so we use a simple distance-based classifier on the representations produced by the Transformer. Furthermore, we examine the performance of supervised approaches with a wide range of different training and embedding strategies. We show that while being a high capacity model, the Transformer is surprisingly hard to train to resolve hypernymy.
Learning of Structurally Unambiguous Probabilistic Grammars

The problem of identifying a probabilistic context free grammar has two aspects: the first is determining the grammar's topology (the rules of the grammar) and the second is estimating probabilistic weights for each rule. Given the hardness results for learning context-free grammars in general, and probabilistic grammars in particular, most of the literature has concentrated on the second problem. In this work we address the first problem. We restrict attention to structurally unambiguous weighted context-free grammars (SUWCFG) and provide a query learning algorithm for \structurally unambiguous probabilistic context-free grammars (SUPCFG). We show that SUWCFG can be represented using \emph{co-linear multiplicity tree automata} (CMTA), and provide a polynomial learning algorithm that learns CMTAs. We show that the learned CMTA can be converted into a probabilistic grammar, thus providing a complete algorithm for learning a structurally unambiguous probabilistic context free grammar (both the grammar topology and the probabilistic weights) using structured membership queries and structured equivalence queries. A summarized version of this work was published at AAAI 21.
Altmetria no Brasil: indicadores de produção e citação

It highlights the production and citation indicators of the Altmetrics domain in Brazil from the national scientific literature from journals and events, based on the assumption that the monitoring of this production will allow to verify the trends and the main contributions. It aims to present the panorama of scientific production in the field of Altmetrics in Brazil from the articles of national journals and events of Information Science according to the perspective of the normative theory of citations. It is characterized as a descriptive research and bibliographic typology by means of the cientometrics method. The main results are: gradual evolution of articles on Altmetrics over the years, since its emergence in Brazil in 2013; a significant majority of the most productive authors linked to public institutions and post-graduate programs in Information Science; preference for citation of foreign authors, with approximately 55% of citations received. It notes that Altmetria has potential for consolidation in Information Science in Brazil, given the number of publications for the time cut contemplated by the research and the number of researchers who have this area as a research interest.
A Siamese Network Tracking Algorithm Based on DeblurGAN

In the process of target tracking, A Siamese network tracking algorithm based on DeblurGAN is proposed in this paper to solve the problem of motion blur caused by the tracked target moving quickly. Firstly, the DeblurGAN model is embedded in the SiamFC network framework to deblur the input fuzzy video frames. Meanwhile, the triple loss function is used to replace the logical loss function in SiamFC. Subsequently, the feature extraction of the processed video frames is carried out by the full convolution Siamese network, which further improves the representational capability of the model. Finally, the improved algorithm was trained by separate training and online combination, and the performance of the algorithm was evaluated by OTB100 data set. In order to verify the effectiveness of the proposed algorithm, This paper uses the traditional defuzzification algorithm Lucy-Richardson to improve SiamFC, and compares it with the original SiamFC algorithm and the algorithm in this paper. Experimental results show that the proposed algorithm has obvious advantages over the other two algorithms in terms of comprehensive accuracy and success rate. It is proved that this algorithm has good tracking effect on moving fuzzy targets.
Competencia comunicativa en profesores venezolanos de comunicación social

The objective of this article is to determine the communicative competence in Venezuelan social communication professors, professionals specialized in the construction, management and dissemination of effective messages addressed to the masses. For this purpose, a descriptive research was conducted in which 29 professors participated, to whom was applied the instrument “Magnifying Glass for the Analysis of the Teacher’s Communicative Skill” designed by the “Oratory Classroom” at the University of Cantabria (Spain). The dimensions consulted in the survey reach very high averages, almost entirely, with the exception of that linked to the use of teaching tools. The results obtained allowed us to know that professors have a positive general perception about their communicative competence in academic spaces.
PENERAPAN AHP DAN SAW DALAM APLIKASI SISTEM PENUNJANG KEPUTUSAN PENENTUAN GURU TERBAIK PADA SMK BINA INSAN MANDIRI

Bina Insan Mandiri vocational school is a private vocational high school located in west jakarta. This study problem is that this school does not have a method that can be used for weighting grades based on the criteria of the best teacher and there is no ranking process in  etermining the best teacher and data processing is slow because the assessment process still uses Microsoft Excel. The purpose of this research is to make a decision support system application that can facilitate schools in processing teacher assessment so that they provide the best teacher recommendations by applying Analitycal Hierarchy Process (AHP) and Simple Additive Weighting (SAW) methods. The criteria used in determining the best teacher are Attendance, Supervision, RPP, Level of Education and Number of Teaching Hours. This application was built using Visual Basic.Net with MYSQL database and uses 22 teachers as samples of 28 teachers in SMK Bina Insan Mandiri. The conclusion of this study is the calculation of the weight of the five criteria by the AHP method found that the weight of attendance is 0.2667, supervision 0.2607, RPP 0.219, Education Level 0.1419 and Number of Teaching Hours 0.0941. And the eigenvector value is consistent and does not need to be recalculated with a consistency ratio value of 0.0715. By using SAW method as a teacher ranking process, the five best teacher candidates are ranked highest to lowest, as in the example there is a teacher named Ramainta Laferina as the best alternative with a value of 0.9728
Perancangan Digitalisasi Kampus Menggunakan Metode TOGAF

Campus digitization is an effort to deal with the development of existing technology. STIE Ekuitas needs to deepen their business needs and evaluate technology resources and information systems, so that opportunities are obtained that can be utilized and developed by stakeholders involved in the organization. STIE Ekuitas is not enough just to have a business strategy to face competition. The business strategy as outlined in the business plan must be equipped with technology and information system strategies to make optimal use of information technology and systems. The system architecture design in the STIE Equitas TOGAF framework (The Open Group Architecture framework) is a framework for enterprise architecture that provides a comprehensive approach to planning, designing, and implementing an enterprise information architecture. The results of the research found that STIE Ekuitas does not have an enterprise architecture plan and information technology in STIE Ekuitas has not fully utilized in helping STIE Ekuitas activities incur non-economical costs for technology investment, The framework provides directions for the development of information systems that are neededKeywords: Campus Digititazion, Information System, TOGAF
An Overview of Speaker Recognition and Implementation of Speaker Diarization with Transcription

This paper presents an overview of the generic process of a speaker recognition system and an implementation of its usage in a speaker diarization process.The motivation behind this paper is to present a simple implementation of a speaker diarization system that inculcates the usage of speaker recognition, speech segmentation and speech transcription.On the basis of various speech features such as Mel Frequency Cepstral Coefficients (MFCCs), Joint Factor Analysis (JFA), i-vectors, Probabilistic Linear Discriminant Analysis (PLDA), etc., speaker modelling is done to train Gaussian Mixture Models (GMMs), Hidden Markov Models (HMMs) and to use clustering.Speaker diarization is then implemented to get speakers speech segments which are then converted into text for the user.The methods discussed, and thus implemented, emphasize on maximum identification rate and minimal error in order to develop the functionality of speaker diarization and audio transcription and are aimed at helping the user to create a manuscript of the conversations that take place between multiple people.
Using Network Analysis to Study the History of Archival Collections Formation: A Case-Study of the Collection of N.P. Likhachev from the Scientific Historical Archive of the St. Petersburg Institute of History

Interest in the history of book collections is not a recent phenomenon. However, rapid development of computers and the Internet over the past twenty years has provided researchers with new tools for network analysis, such as UCI6 и NetDraw 2.160. Continuing to identify the provenance of the documents kept in the Western European Section of the Scientific Historical Archive of the St. Petersburg Institute of History of the Russian Academy of Sciences, the author had to face the fact that abundance of information and complexity of the links between various sources make it difficult to make out the complete picture. The Western European section of the Scientific Historical Archive of the St. Petersburg Institute of History of the Russian Academy of Sciences is mostly based on the collection of the academician N P. Likhachev (1862—1936). N.P. Likhachev contacted hundreds of antiquarian firms around the world, and thus his collection fits into the complex and interwoven system of the European antiquarian market of the late 19th–early 20th century. To overcome the problem of branching data, the author decided to call on the experience of sociologists and to use computer programs for network analysis that enable to reflect and comprehend the links between objects. The article is to present the process and results of this work, as well as to underscore problems and specificity of the programs in relation to the archival material. The main source is data from the personal provenance archive of the academician N. P. Likhachev, collection of documents on the history of the Western European Section, and artifacts from the Likhachev collection. The second layer of sources is antiquarian catalogs. The program can visualize these two layers of information in different ways by using different colors and lines. Overlaying of the schemes allows completing of missing elements in the chain of provenance. It should be noted that due to the richness of the sources, the network, originally compiled for the collection of N.P. Likhachev, grows into a pan-European system of “collector-antiquarian” relationships. It opens wide perspectives for research.
Project Skills Formation Of The Design Students

The article presents the modern requirements to the professionally significant qualities of the designers and their level of professional qualification. Readiness level of the applicants and the first- and second-year students to the project activity is analysed. The possibilities of improving the designers' training quality within the university education process are considered. Methods and criteria of competence assessment of future designers are determined. The conducted theoretical analysis proved current importance and insufficient development level in the pedagogical theory of the project skills formation problem of future design specialists in the system of higher professional education. Project activity is the key one in the professional activity of the environment designer. An important part of the professional competence are professional skills and abilities - artistic, modelling, formation, analytical, research, graphical, computer, communication skills. These skills and abilities are directly connected with the professionally significant qualities. An important factor of the successful implementation of the learning activity in the design sphere is the presence of the corresponding skills, their focus on the design activity, positive motivation and the desire to get a high-quality professional education. A set of these components tells us that a student is ready to get the professional education.
Identifying the Dimensions of Leadership Effectiveness of Farhangian University Campus Principals

PurposeThe aim of this study was to identify the dimensions of leadership effectiveness of Farhangian University campus principals.MethodologyThis research was exploratory in terms of applied purpose, in terms of field implementation method and in terms of data collection method. The statistical population of this study consisted of full-time and part-time faculty members of Farhangian University campuses in the academic year of 2018-19, who were selected and studied by random sampling of relative classes. A researcher-made questionnaire was used to collect information and exploratory factor analysis method was used to analyze the collected data.FindingsThe results indicate the recognition of the dimensions of leadership effectiveness of Farhangian University campus managers in three dimensions: 1. Perceptual (personal) evaluation (others' perception of the leader's credibility and self-assessments; Peers, and superiors inside and outside the organization do training, create indicators of effectiveness), 2. Satisfaction of subordinates (individual) (Satisfaction of members of the organization) and 3. Achievement of organizational goals (relative levels) Achieving the goals of the organization) was in the form of 30 indicators.ConclusionIn order to achieve its goals and aspirations, Farhangian University should constantly evaluate the performance of its campus administrators based on the dimensions of perceptual evaluation, subordinates' satisfaction and achievement of organizational goals, review the processes and change the patterns and structures. Achieves higher effectiveness.
Is Coulomb stress the best choice for aftershock forecasting?

&amp;lt;p&amp;gt;The Coulomb failure stress (CFS) criterion is the most commonly used method for predicting spatial distributions of aftershocks following large earthquakes. However, large uncertainties are always associated with the calculation of Coulomb stress change. The uncertainties arise due to non-unique slip inversions and unknown receiver fault mechanism. Especially for the latter, uncertainties are highly dependent on the choice of the assumed receiver mechanism. There are two ways of defining the receiver faults, either by predefining fault kinematics by geological constraints, or by calculating optimally oriented planes, both ways are pretty unrealistic as real aftershocks show variable rupture mechanisms. Recent studies have proposed an alternative method based on deep learning to forecast aftershocks. Using a binary test (aftershocks yes/no), it has been shown that their method as well as alternative stress values, such as maximum shear or the von-Mises criteria, are more accurate and reliable than the classical CFS criterion with predefined receiver mechanism.&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;Here we use 351 slip inversions from SRCMOD database to calculate Coulomb failure stress on a layered-half space using variable receiver mechanisms as well as proposed alternative stress metrics. We also perform tests for different magnitude cut-offs, grid size variation, and aftershock duration to verify the use of ROC analysis for ranking of stress metrics. The observations suggest that introducing a layered-half space does not improve the stress maps and ROC curves. However, magnitude cut-off and aftershock duration does effect the efficiency of stress metric in a way that larger magnitudes and shorter aftershock durations are forecasted efficiently. Two alternative statistics based tests i.e. log-likelihood and information gain tests using rate-based forecasts (non-binary) are also performed to compare the ability of metrics to discriminate the regions with and without aftershocks. The results suggest that simple methods of stress calculations perform better than the classic Coulomb failure stress calculations.&amp;lt;/p&amp;gt;
LibGuides: Blackface Minstrelsy Resources: Home

This guide has been developed by The Center for American Music to provide resources for researching blackface minstrelsy and other demonstrations of blackface performance.