Reviewerly/exHarmony huggingface dataset:
A Study on American KFL Learners’ Attitudes Toward Korean Pronunciation Learning and Their Use of Pronunciation Learning Strategies

ABSTRACT Learning language in a foreign context requires some degree of learner autonomy. It calls for even more autonomy when learning a target language pronunciation. One of the ways to foster learner autonomy is by training students in the use of strategic devices that help learners to learn different aspects of pronunciation because skillful use of strategies is key to growing autonomy (Wenden 1991). However, since Pronunciation learning strategies (PLS) have received relatively little attention, the studies on PLS are limited in terms of the target language with a near exclusive focus on English (Pawlak, 2018). In addition, although researchers seem to have come to an agreement on what a reasonable goal should be for pronunciation instruction, in the view of learner autonomy, learners can set their own goals. Therefore, this article has attempted to sketch out the American KFL learners’ attitudes towards Korean pronunciation learning and their overall pattern in PLS use. Noteworthy findings were that the KFL learners’ attitudes towards learning pronunciation was highly positive, they were confined to a very limited set of PLS relying mainly on affective and cognitive strategies, and there was a significant correlation between attitudes and the PLS use.
Shuffle &amp; Divide: Contrastive Learning for Long Text

We propose a self-supervised learning method for long text documents based on contrastive learning. A key to our method is Shuffle and Divide (SaD), a simple text augmentation algorithm that sets up a pretext task required for contrastive updates to BERT-based document embedding. SaD splits a document into two sub-documents containing randomly shuffled words in the entire documents. The sub-documents are considered positive examples, leaving all other documents in the corpus as negatives. After SaD, we repeat the contrastive update and clustering phases until convergence. It is naturally a time-consuming, cumbersome task to label text documents, and our method can help alleviate human efforts, which are most expensive resources in AI. We have empirically evaluated our method by performing unsupervised text classification on the 20 Newsgroups, Reuters-21578, BBC, and BBCSport datasets. In particular, our method pushes the current state-of-the-art, SS-SB-MT, on 20 Newsgroups by 20.94% in accuracy. We also achieve the state-of-the-art performance on Reuters-21578 and exceptionally-high accuracy performances (over 95%) for unsupervised classification on the BBC and BBCSport datasets.
Novel View Synthesis of Humans Using Differentiable Rendering

We present a new approach for synthesizing novel views of people in new poses. Our novel differentiable renderer enables the synthesis of highly realistic images from any viewpoint. Rather than operating over mesh-based structures, our renderer makes use of diffuse Gaussian primitives that directly represent the underlying skeletal structure of a human. Rendering these primitives gives results in a high-dimensional latent image, which is then transformed into an RGB image by a decoder network. The formulation gives rise to a fully differentiable framework that can be trained end-to-end. We demonstrate the effectiveness of our approach to image reconstruction on both the Human3.6M and Panoptic Studio datasets. We show how our approach can be used for motion transfer between individuals; novel view synthesis of individuals captured from just a single camera; to synthesize individuals from any virtual viewpoint; and to re-render people in novel poses.
Mollywood: Subtitles as an attack vector

Online subtitle repositories manage a huge amount of subtitle files for a variety of movies/TV-shows in 88 different languages and are available to the public to download and upload. Given the popularity of these repositories, we study the subtitle providers (STP) ecosystem by identifying and analyzing the involved parties. Our observations reveal that these STPs seem to be one of the most widespread and easily accessed resources to be potentially abused by attackers. Therefore, due to the features of STP ecosystem, they could be considered as a new attack vector through the subtitle files. However, all potentials of this new attack vector have not been yet exploited. Due to the rise of cryptojacking attacks substantially, this paper shows how a vulnerability present in a popular streaming platform can be exploited to perform a cryptojacking attack using the malicious subtitles delivered by STPs.
SUPPORT THE PERSONAL SELF-DETERMINATION OF FUTURE TEACHERS IN THE CONTEXT OF TRANSFORMATIONAL PROCESSES IN HIGHER EDUCATION

the article proposes a theoretical justification and experimental confirmation of the relevance of pedagogical support for the personal self-determination of future teachers as a humanitarian mediative educational practice that is in demand in the context of the individualization of education.
Bitcoin Investment Classifier using Machine Learning and Sentimental Analysis

Cryptocurrency is an intangible asset that has emerged due to the advancement in the fin-tech space and has led to many research opportunities. Cryptocurrency prices are subject to significant volatility, and predicting trends is very difficult. Around the world, there are hundreds of cryptocurrencies that are in daily use for purchasing goods and services or investing. Although Machine Learning models have shown satisfactory results in predicting cryptocurrency prices, it is necessary to consider the public sentiment regarding a cryptocurrency. Public opinion about crypto is most prevalent on Twitter. Therefore, we aim to classify Bitcoin investing better by combining Machine Learning Algorithm LSTM with Sentimental Analysis, which an investor can use to decide whether to buy a cryptocurrency or not.
The Fate of the A.S. Pushkin Archive in the Moscow Public and Rumyantsev Museum in 19th–20th Centuries

The article traces the process of forming the A.S. Pushkin archive in the first public Moscow museum — Moscow Public and Rumyantsev museum, later the All-Union Public Library of the USSR named after V.I. Lenin. The archive was created for two reasons: identifying the poet’s documents in the archives and collections of his contemporaries and friends, and transfer of the archive kept in the family of Pushkin to museum. In the 19th century, admission the museum took place at the behest of fund holders. After 1917, the process changed — the museum received archives from the nationalized estates. Since the early 1930 in addition to archival documents memorial items be longing to the poet were transferred to the library. The process of centralization and subordination of state ideology affected the legacy of Pushkin. In 1937, an exhibition dedicated to the 100th anniversary of the death of the poet was held, and in 1938, on its basis, the State Museum of A.S. Pushkin, which was under the jurisdiction of IWL AS USSR. All materials related to the life and work of the poet, as well as the of A.S. Pushkin archive from the library were concentrated in the museum. The museum acted as a research center for Pushkin studies and a political and educational institution. In 1948 the State A.S. Pushkin Museum was transferred from Moscow to Leningrad and all the archival collections that belonged to the museum were transferred to the Institute of Russian Literature Academy of Sciences of USSR.
Utilization of Augmented Reality Technology as a Presentation Media in the Interior Sector

Technology has many functions and advantages to speed up human work. The advantages of this technology are also now widely applied in various fields, one of which is in the interior sector which is able to support human activities in it. And one of the technologies that are currently quite widely applied in the interior sector is Augmented Reality technology which can be said to be a branch of technology from Virtual Reality. Data collection using sensors to compute the distance from the sensor position to an item is one example. Augmented Reality may typically be presented on different devices such as glasses, displays, telephones, and so on in specific data formats such as films, photos, animations, and 3D models, allowing users to see the results in both artificial and natural light. For example, the major draw appears to be a variety of themes with musical accompaniment, reasonable rates, and menu options with traditional to modern characteristics. This demonstrates that public areas such as cafés, restaurants, and so on are quite popular in Indonesia. This demonstrates the widespread public interest in the presence of cafés, as the proliferation of cafes demonstrates market interest in the existence of cafes.
Anchoring Effect Mitigation for Complex Recommender System Design

AbstractThe adoption of a recommender system depends mostly on the accuracy of the computation of the rating predictions from the users. The user rating prediction accuracy has been a main topic in recent research. Collaborative filtering is one of the most prevalent algorithms for rating prediction, where ratings from close users, Near Neighbours, are used for the prediction of item ratings. For the collaborating filtering algorithm implementation, researchers utilise a large set of parameters, such as the number of close users and user proximity calculation metrics, to automatically determine these users, resulting in time-consuming decision conflicts over the most appropriate selections. This paper explores an approach that enables scientists to make informed selections for the metrics, parameters, and setups, using a prototype user interface with preloaded tools for the scientist to explore close users and attributes. The end users may create simulations to gain insight into the rating prediction process. The user study verifies that the designer anchoring effect of conflict of decision may be mitigated using the proposed approach, enabling transparency for the recommendations and informed decisions from the simulations.KeywordsUser interfaceRecommender systemsCollaborative filteringRating predictionConflict of decisionAnchoring effects in designing complexityUser evaluationUsability evaluation
Perubahan Lahan Kritis Menjadi Lahan Hijau Sebagai Sumber Energi (Studi Kasus Das Arau Kota Padang)

This study examines a flood control model by analyzing the area of critical land which is the land that causes flooding to become green land. Indonesia is a country that has 2 seasons, namely the dry season and the rainy season. Padang City, from 2008 - 2020, there were frequent floods. From research on the Arau watershed, there are 8 Arau sub-watersheds experiencing flooding. To reduce flooding, critical land use is converted into green land. Rainfall calculations use rainfall data from 5 stations. Rainfall plans using the Thiessen theory. Discharge plan using a rational formula. From the water discharge will be determined the amount of energy. The energy produced by the discharge of critical land use is 168,960 kwh.
The Poetic Legacy of P.A. Vyazemsky: Alphabetical and Bibliographic Description of Published, Handwritten (Archived) and Controversial (Dubielzig) Writer’s Texts

The article summarizes the results of a long-term study of the poetic activity of P.A. Vyazemsky (1792–1878), reflected in his lifetime publications, autobiographical, memoir and epistolary materials preserved in the writer’s archive. The works of the poet were published many times, including “Complete works” in 12 volumes (1878–1896). However, none of these publications, including Soviet ones, fully reflect Vyazemsky’s poetic legacy (even if we sum up such publications). In addition, the 12-volume collection contains some works of other authors mistakenly placed there. The existing bibliographies of the poet’s texts published by M.N. Longinov (1862), S.I. Ponomarev (1879), and D.D. Yazykov (1904) are also full of lacunae, inaccuracies, and contradictions. System accounting and textual interpretation of manuscripts (autographs, lists) of Vyazemsky’s poems and his poetic sketches in the Ostafyevsky archive (RSALA) and other archives make it possible to significantly supplement the idea of the writer’s late work and literary and social position, to clarify his authorship in relation to a number of controversial texts in this regard (“For the current war”, “Who needs whom more?”, “Rampant life in carlsbad we are...” etc.). It is necessary to take into account the poetic inserts in translated and original dramatic works written by Vyazemsky alone or in collaboration with V.L. Pushkin and A.S. Griboyedov. The result of a comprehensive study of the totality of direct and indirect evidences on Vyazemsky’s work was the authors “alphabetical index of P.A. Vyazemsky works,” which includes about 1350 bibliogrammes that demonstrate variations of names and the first lines of particular poems, information about their first publications or archival sources, and the necessary historical and literary commentary on them.
The evolution of military operations: artificial intelligence to detect hand gestures in defence

Artificial intelligence innovations hold promise for improving military operations while gestures have been the simplest and most powerful medium for communications. This idea proposes a system identifying hand movements and translating them to spoken words, where soldiers on battlegrounds may readily converse with one another. We utilise computational vision, Haar cascade classifiers, CNN, MediaPipe and other approaches for thought patterns through results. There are three techniques in this process: firstly, hand identification system that provides borders around the hand placed to another screen fixing image magnification using OpenCV and Matplot; following with a hand-held skeleton-projected connection model using MediaPipe's mapping system libraries in real-time capturing at 30 fps; lastly, sound element being introduced in each class improving recognition of the gestures. Dataset of around 10,000 images across five different classes are built with CNN architecture used to classify. This research shows results to discover AI options for military applications.
Project activity as a mean of developing socio-cultural activity of youth

Only energetic, socially active, competitive specialists will be able to ensure sustainable economic and political development of modern society, since the current reality requires society to find the most successful options for achieving its goals. According to E.S. Sokolova, the Concept for the Modernization of Russian Education for the period up to 2010 implies that a developing society needs modernly educated, moral, enterprising people who can independently make responsible decisions in a situation of choice, predicting their possible consequences, ways to cooperate, are distinguished by mobility, dynamism, constructiveness, have a developed sense of responsibility for the fate of the country. According to this opinion, the upbringing of active professionals by society, who will find themselves in various socially significant activities, is of great importance. Based on the foregoing, it can be assumed that modern youth has the most significant role in the transformation of society. It is she who has all the opportunities to significantly change the life of society for the better. One of the main means of increasing the social activity of young people is project activity, as it develops in a young person such qualities as a creative approach to the implementation of any type of activity, management skills, strategy, independence, etc. It is to the development of project activities that the Government of the Russian Federation pays great attention by holding various gatherings, conferences, competitions, forums.
Robert Ashley (1930–2014)

Holm-Hudson places Ashley, then just beginning his position at Mills College, at a nexus between his earlier ONCE and Sonic Arts Union group and his later work, noting that Ashley expressed ideas about listening to music that would appear in Automatic Writing (1979), Music with Roots in the Aether (1975), and his opera for television, Perfect Lives (1978–80). Childs and Ashley discuss the ONCE group (his former colleagues Gordon Mumma, Donald Scavarda, Roger Reynolds, and George Cacioppo) and its electronics, Cage, computer music, performance and the future for virtuosi, and the impact on education. Ashley presents his fascination with the act of listening and attention to music, especially in recorded music at home, the perception of time passing, and problems of instrumental music in theater and opera.
User-Friendly Software for Identifying Moldmates and Twins in Antique Laid Paper: Case Study of a Disbound Blank Book

This progress report details the imaging and initial analysis of watermarks and countermarks present in antique, laid paper leaves from a partial, disbound blank book in the study collection of the Conservation Center at the Institute of Fine Arts at NYU. Preliminary review of watermark catalogues indicates that the paper, featuring the coat-of-arms of Le Tellier of three stars over three lizards, and a countermark reading “H. J. Cusson,” dates roughly from the late seventeenth to early eighteenth centuries. Of the approximately 115 sheets, 20 were analysed using software developed by William A. Sethares (University of Wisconsin, Madison) and C. Richard Johnson, Jr. (Cornell University) to reliably predict whether individual papers were likely to have been made by the same papermaking mold. The programs allowed for the comparison of watermark and countermark shapes by comparison of the ratios of their internal proportions (WatermarkMarker), and the generation of animated overlay .gifs that fade from one image to the next, for instant visual comparison (WatermarkPointMarker and VisualizeOverlays). The incidence of watermarks and moldmates in the folios were also mapped using the VisCodex online collation visualization tool, developed by the University of Toronto Libraries, in collaboration with Dot Porter and Alberto Campagnolo. The results suggest that the stack of sheets was made from two papermaking molds, making the papers moldmates and twins. The progress report concludes with a hypothesis as to which watermark was connected to which countermark, and suggests that the connections between half-sheets may be more easily recreated after more sheets have been analyzed both visually, and with the software.
SOLVING ROLS MINING PROBLEM BY CLUSTERING

This paper proposes a Roles Mining algorithm based on an agglomerative clustering algorithm. Multiple user authorizations were presented as points in multidimensional space. Clustering allows you to select groups of users that have a similar permissions set. Candidates for roles are formed based on user groups. Two approaches to the formation of candidates in the role were considered. The proposed approach allows you to build a hierarchy of roles.
Telekit: An IoT Based Wearable Health Assistant with Machine Learning Approach

AbstractMaintaining a healthier lifestyle is quite implausible for the mass people of developing countries like Bangladesh. Instead of regular health checkups, here folks only seek the treatment at the stage of enervate. To ameliorate this situation, in this study, we have proposed a low-cost wearable fitness device named “TeleKit”. We envisioned targeting middle-aged people who are most of the time reluctant to take health precautions. Our developed system is capable of detecting Oxygen saturation, pulse rate, and the temperature of the human body. To monitor these physical parameters we have also developed an Android app with a pop-up notification feature. We also classified and aggregated the collected data through an IoT network. Applying a machine learning algorithm we demonstrate the correlation between the health parameters that will help us to predict and take necessary steps before any serious disease. This device will play a crucial role as an emergency, app notification will help the end-users to take necessary precautions. The outcome of this research would help the health service provider, and the decision-makers to provide low-cost health kit facilities, especially in rural areas.KeywordsIoTWearableHealth assistantMachine learningSpo2Wemos
Researching Work Volume—And a Model Experiment

This book discusses, with the aid of experimental archaeology (simulating raft transportation), how rock was shipped to Liangzhu prior to layering. On the basis of careful calculations of rock volume and shipment logistics, the chapter also provides a ballpark figure for man hours and the likely construction time spent on the wall.
Improvement of Speech Recognition Accuracy Using Post-processing of Recognized Text

Modern deep learning-based speech recognition methods allow for achieving phenomenal speech recognition accuracy. But this requires enormous amounts of data to train. Unfortunately, developers of recognizers for less widely spoken languages are often facing the problem of scarce resources to train recognizers. The paper presents a novel method to increase recognition accuracy by post-processing of the text outputs of two different speech recognizers. The method is using machine learning to find a more likely symbol or group of symbols from two different deep learning-based recognizers. The experiments showed that the method allows increasing recognition accuracy by 3%.
Model of an autonomous agent forming its own simple knowledge base

In the present work, a computer model of an autonomous agent that forms its own knowledge base is constructed and studied. We consider a rather simple knowledge base of an agent, which forms and uses a cognitive map of the external world. This map is the agent knowledge base. The external world of the agent is a two-dimensional cellular environment. In this environment, the agent can eat and move. The agent prefers certain cells for eating. Namely, such cells form the nutrient spots of the world. The model was investigated by means of computer simulation. We analyze the processes of formation of a cognitive map in the agent knowledge base that characterizes the nutrient spots of the world.
إجراءات جمع الأدلة الرقمية طبقا للاتفاقية العربية لمكافحة جرائم تقنية المعلومات = The Procedures of the Collection of Digital Evidences in Arab Convention on Combating Information Technology Offences

إجراءات جمع الأدلة الرقمية | جرائم تقنية المعلومات | المعلومات المخزنة | بيانات الحركة | اعتراض معلومات المحتوى | The Procedures of Collection a Digital Evidences | Information Technology Offences | Stored Information | Traffic Data | Interception of Content Data