Reviewerly/exHarmony huggingface dataset:
Joint Anchor-Feature Refinement for Real-Time Accurate Object Detection in Images and Videos

Object detection has been vigorously investigated for years but fast accurate detection for real-world scenes remains a very challenging problem. Overcoming drawbacks of single-stage detectors, we take aim at precisely detecting objects for static and temporal scenes in real time. Firstly, as a dual refinement mechanism, a novel anchor-offset detection is designed, which includes an anchor refinement, a feature location refinement, and a deformable detection head. This new detection mode is able to simultaneously perform two-step regression and capture accurate object features. Based on the anchor-offset detection, a dual refinement network (DRNet) is developed for high-performance static detection, where a multi-deformable head is further designed to leverage contextual information for describing objects. As for temporal detection in videos, temporal refinement networks (TRNet) and temporal dual refinement networks (TDRNet) are developed by propagating the refinement information across time. We also propose a soft refinement strategy to temporally match object motion with the previous refinement. Our proposed methods are evaluated on PASCAL VOC, COCO, and ImageNet VID datasets. Extensive comparisons on static and temporal detection verify the superiority of DRNet, TRNet, and TDRNet. Consequently, our developed approaches run in a fairly fast speed, and in the meantime achieve a significantly enhanced detection accuracy, i.e., 84.4% mAP on VOC 2007, 83.6% mAP on VOC 2012, 69.4% mAP on VID 2017, and 42.4% AP on COCO. Ultimately, producing encouraging results, our methods are applied to online underwater object detection and grasping with an autonomous system. Codes are publicly available at https://github.com/SeanChenxy/TDRN.
A Quantamental Approach to Bitcoin Trading: Are We Swinging for the Fences?

Financial companies from all around the world have started to focus their investments in quantitative and algorithmic funds. Those methods run in server applications that execute automatic trades. It is important to distin- guish high frequency trading from machine learning trading. The latter is used and analyzed in detail in the present work.This project explains the development of a trading strategy on Bitcoins based on machine learning techniques. A pipeline proposal is shown which is based on Lopez de Prado’s book ([Pra18]). Some modifications are in- troduced in the book’s pipeline to adjust a momentum primary model on Bitcoins, and to incorporate and study features that would let estimate the size of the primary model bets (secondary model to be trained on top of the first model). The range of features to analyze goes from financial metrics derived from Bitcoin prices and volumes, to Bitcoin and blockchain related features and finally social indexes which incorporate interest and animosity towards Bitcoin itself.The pipeline proposed in [Pra18] and implemented in this thesis rigorously handles the dataset, the involved models and finally the posterior backtest- ing strategies. Details about statistical foundation of the involved methods, algorithm complexity and implementation and domain explanations (such as those related to cryptocurrencies) can be found. The pipeline allows to gather enough information to compare and decide whether a propose strat- egy is good enough to be implemented. We will use this to compare models that introduce microstructure indexes such as SADF (Supremum Augmented Dickey Fuller) in comparison and conjunction with social indexes.
Combining Improvements for Exploiting Dependency Trees in Neural Semantic Parsing

The dependency tree of a natural language sentence can capture the interactions between semantics and words. However, it is unclear whether those methods which exploit such dependency information for semantic parsing can be combined to achieve further improvement and the relationship of those methods when they combine. In this paper, we examine three methods to incorporate such dependency information in a Transformer based semantic parser and empirically study their combinations. We first replace standard self-attention heads in the encoder with parent-scaled self-attention (PASCAL) heads, i.e., the ones that can attend to the dependency parent of each token. Then we concatenate syntax-aware word representations (SAWRs), i.e., the intermediate hidden representations of a neural dependency parser, with ordinary word embedding to enhance the encoder. Later, we insert the constituent attention (CA) module to the encoder, which adds an extra constraint to attention heads that can better capture the inherent dependency structure of input sentences. Transductive ensemble learning (TEL) is used for model aggregation, and an ablation study is conducted to show the contribution of each method. Our experiments show that CA is complementary to PASCAL or SAWRs, and PASCAL + CA provides state-of-the-art performance among neural approaches on ATIS, GEO, and JOBS.
Functional Сharacteristics of Аctivity and Practical Components of Professional and Personal Experience of a Specialist in the Music Art

The article analyses the nature of the action-based and practical component of professional and personal experience of the specialist in the music art. The peculiarities of interaction of the activity-based and practical components are disclosed. The basic principles of the activity-based approach accumulating the fundamental laws of learning in its content are considered. Practice as a core aspect of professional and personal experience of the future specialist acquires the species identity in various sectors of individual’s activity, and therefore there is a problem of disclosing the specific manifestation of the activity-based activities, including the musical and educational, vocational, pedagogic, and artistic activities. The content of practical training of students in high school is substantiated. One of the important factors that will ensure the efficiency of formation of the action-based and practical experience component of the future music teachers is professional and creative activity, which is considered to be condition and the result of musical and educational activities, and provides an unusual approach and creative solution of professional tasks. All educational qualification levels in the structure of training of the future music teacher involve the teaching practice, the content, forms and methods of which largely determine the efficiency of formation of the action-based and practical experience component for students and their subsequent adaptation to the profession. To enhance the students’ activity, the use of an active dialogue, the role play, analysis of problem situations, educational research, and special creative exercises in the music and teaching practice is of great importance. Practice in terms of a high school serves as a test of the future teacher’s professional skills and, on the other side, it is an essential step in the formation of pedagogical skills, their manifestation in the personal educational activities. The pedagogical guidance of the process of forming an action-based and practical component in the structure of professional and personal experience of the future professionals provides for creation of optimal conditions for proactive actor, so it could deliberately and profoundly acquires a certain level of experience. Improvement of the quality of vocational and practical training of the future music teacher is provided by the use of such learning principles as continuity of pedagogic education, democratization, focus on creative work and unique personality of each specialist, and provision of differentiated and individual creative approach to its formation in high school.
Different ways for visualization of data obtained from an arduino uno microcontroller board

Arduino microcontroller platforms are frequently in use in the last few years. The reason is their simplicity, low cost, and availability of a large number of ready-made solutions on the Internet. The Arduino Integrated Development Environment itself has a Serial Monitor and Serial Plotter tools for data presentation. The Serial Monitor displays the textual and numeric values of the data obtained through the serial port. By using the Serial Plotter, measurement results from the Arduino serial port can be seen in the form of Real-Time diagrams. The deficiency of such a way of data visualization is that it does not provide many opportunities for change and adaptation to the user needs. This paper presents examples of several different programming environments which provide the good opportunities for presentation the results generated by the Arduino boards. Some hardware modules used to display data from the Arduino boards are also described in this paper.
Theft and embezzlement: Problems of successful business operations of hospitality facilities

Hospitality is characterized by businesses in direct contact with money, expensive food and drink, which often causes problems due to theft and embezzlement performed by unsatisfied employees. Research on the topic is a very broad, but under-researched field. The subject of this paper is theft and embezzlement in business operations of hospitality facilities in AP Vojvodina. The objective of this paper is to provide answers regarding the frequency of the problem occurring upon reception of and storing food and beverages, work with the cash register and means of payment, as well as other operations. The aim of this paper is to indicate the necessity of more professional monitoring of business, that is, finding a solution to this problem in hospitality facilities. To acquire more relevant data on the frequency of theft and embezzlement in hospitality facilities serving food and beverages, we conducted a survey of the management in facilities in AP Vojvodina (the northern region of Serbia).
Boys And Girls Reading In Criticism And Research In the Second Half Of The 19th And The First Third of The 20th Centuries

The introductory article analyses the materials selected for publication in the column “Archive” and compares the articles of critics of the second half of the 19th century and the first third of the 20th century in their assessment of the influence of gender division of boys and girls reading. The articles of M. K. Tsebrikova’s “Chtenie dlja podrostkov” (Reading for Teenagers) (1888) and P. A. Rubtsova “Kakie jelementy literaturnogo proizvedenija vydeljajutsja det’mi. (K probleme — ‘Chem vozdejstvuet kniga na rebenka’)” (What elements of literary work are distinguished by children) (1929) are devoted to research in the field of sociology of reading and analysis of the perception of certain themes in children’s literature. The attention of the critics focuses on the issues of reading circle formation, reader’s reception, and reader’s characteristics such as age, gender, belonging to the social environment, and educational institution. The introduction comments on the approaches to the regulation of children’s reading reflected in the articles of A. Danilov, the critic under the pseudonym L., M. K. Tsebrikova, and I. Aleshintsev. The article cites some results of the studies of boys and girls reading, carried out in the 1920s by the Institute of children’s reading: the quantitative data characterizing the agents that form the repertoire of children’s reading, as well as features of children’s literature perception of different age and gender.
Environmental Art Design Teaching Based on Big Data Analysis

With the deepening of environmental art design teaching reform, big data-driven environmental art design teaching model is also constantly developing. The teaching of environmental art design is a specialty with outstanding characteristics in various disciplines of colleges and universities. Big data can provide rich teaching resources and teaching cases for environmental art design teaching. Promote the transformation of environmental art design teaching from the traditional teaching model to the new teaching model. This article uses big data analysis as the key word, searches the special reports published by core journals in the past five years, and surveys the teaching situation of 100 teachers. This article combines the application of big data in the field of education. From the perspective of big data analysis technology, explore and analyze new models and methods that are beneficial to the teaching of environmental art design. It can be seen from the survey data that 39.7% of the teaching method defects are single. Therefore, in order to improve teaching strategies and improve the educational evaluation system, we can truly meet the individualized learning needs of students. This article proposes that big data improves single teaching and turns to a mixed teaching model of environmental art design.
Musical Semiotics: an interdisciplinary aspect

Due to the relevance of the process of updating the modern educational system of Ukraine, especially its aesthetic field, attention is drawn to the problem of the qualitative transformation of music and pedagogical education. The introduction of a semiotic component into the process of preparing future teachers of musical disciplines is intended to enrich its analytical focus, both in theoretical and practical formats. This practice looks promising in the training of music teachers and music performers. The purpose of this article is the requirement to study the essential features of the “semiotics” concept in an interdisciplinary context, that is, from a philosophical, philological, cultural and art criticism position with their further correlation with the characteristic features of the “musical semiotic” concept. As a result of the analysis of various literary sources, setting out the provisions of the concepts by scientists who are influential in the field of semiotic theory in the above-mentioned areas, single characteristic features of the “semiotics” concept have been identified. In the process of correlating these essential features of semiotics with the concept of “musical semiotics”, it is concluded that they fully coincide in the definition of both phenomena. But at the same time, based on the specifics of music art, special characteristics of musical semiotics are also revealed. First of all, these include the special place of the artistic image in the semiotic analytical process, as well as the distinction between the concepts of “language” (“musical language”) and “utterance” (“musical utterance”), rather than the more traditional holistic analysis of musical language. It is necessary to build a further study of musical semiotics and actively implement its capabilities in the process of training musicians-teachers and performers with these features in mind.
Infrastructure-Enabled Gps Spoofing Detection and Correction

Accurate and robust localization is crucial for supporting high-level driving automation and safety. Modern localization solutions rely on various sensors, among which GPS has been and will continue to be essential. However, GPS can be vulnerable to malicious attacks and GPS spoofing has been identified as a high threat. GPS spoofing injects false information into true GPS measurements, aiming to deviate a vehicle from its true trajectory, endangering the safety of road users. With various types of vehicle-based sensors emerging, recent studies propose to detect GPS spoofing by fusing data from multiple sensors and identifying inconsistencies among them. Yet, these methods often require sophisticated algorithms and cannot handle stealthy or coordinated attacks targeting multiple sensors. With infrastructure becoming increasingly important in supporting emerging vehicle technologies and systems (such as automated vehicles), this study explores the potential of applying infrastructure data in defending against GPS spoofing. We propose an infrastructure-enabled method by deploying roadside infrastructure as an independent, secured data source. A real-time detector, based on the Isolation Forest, is constructed to detect GPS spoofing. Once spoofing is detected, GPS measurements are isolated, and the potentially compromised location estimator is corrected using the infrastructure data. The proposed method relies less on vehicular onboard data than existing solutions. Enabled by the secure infrastructure data, we can design a simpler yet more effective solution against GPS spoofing, compared with state-of-the-art defense methods. We test the proposed method using both simulation data and real-world GPS data, and show its effectiveness in defending various types of GPS spoofing attacks, including a type of stealthy attacks that are proposed to fail the production-grade autonomous driving systems.
Motion-Enhancement Assisted DIC Analysis of Li-Ion Batteries During Lithiation

For the first time, a motion enhancement and registration technique (MERt) – an advanced phase based motion enhancement method combined with an optical flow based digital image correlation process has been used to investigate batteries. This, in combination with the non-invasive investigative nature of X-ray computed tomography, makes for a powerful tool to examine the mechanism behind (de)lithiation of Li-ion cells. Through MERt, which magnifies the displacement of electrodes and tracks any internal changes, it is generally observed that the electrode expands outwards, but once encountering the solid barrier that is the cell casing, the electrode has nowhere to expand but inwards, which is why the electrode deformations initiate at the cell core. The technique clearly affirmed that the greatest movement of electrodes during lithiation occurs at pre-existing inflection points in the jelly roll, which are a result of the manufacturing process, which eventually leads to the large deformations observed in this and previous works. MERt also indicated a contortion of the cell casings during lithiation which may be caused by the uneven expansion of the electrodes, but requires further studies to confirm.
A Modern Copyright Framework for Artificial Intelligence: IP Scholars' Joint Submission to the Canadian Government Consultation

In response to the Canadian government consultation process on the modernization of the copyright framework launched in the summer 2021, we hereby present our analysis and recommendations concerning the interaction between copyright and artificial intelligence (AI). The recommendations herein reflect the shared opinion of the intellectual property scholars who are signatories to this brief. They are informed by many combined decades of study, teaching, and practice in Canadian and international intellectual property law. In what follows, we explain:- The importance of approaching the questions raised in the consultation with a firm commitment to maintaining the appropriate balance of rights and interests in Canada’s copyright system, consistent with a robust principle of technological neutrality.- The importance of ensuring that text and data mining (TDM) activity can be undertaken in Canada without the threat of potential copyright liability. We therefore propose both an opening up of Canada’s fair dealing doctrine to better accommodate TDM activities, and the enactment of a specific statutory provision to confirm that uses of copyright works and other subject matter for TDM (whether commercial or non-commercial) do not infringe copyright. - The importance of resisting calls to extend copyright protection to AI-generated outputs. We therefore propose maintaining and confirming the existing principled requirements of human authorship and original expression as preconditions of copyright protection, and we caution against any move to establish new neighbouring or sui generis rights in respect of AI outputs. Works generated by AI should remain in the public domain. As such, we recommend:- Enacting a broad statutory provision confirming that use of a work or other subject matter for TDM does not infringe copyright. This specific exception should be available to all users, apply to commercial and noncommercial uses, permit the retention and sharing of copies, and be protected from contractual override. - Amending section 29 of the Copyright Act to make the list of purposes an illustrative list (“for purposes such as”) and adding TDM or data/informational analysis as an enumerated purpose therein.- Confirming in section 2 of the Copyright Act that “author” means a human being/natural person; and confirming in section 5 of the Copyright Act that copyright shall not subsist in a work created without a human author.
Development of Creative Activity of the Future Music Teacher in the Piano Class

The article reveals the mechanisms of the development of the creative activity of the students of higher educational institutions, defines the essential characteristics of the studied phenomenon. The core of this quality can be considered internal energy, which directs the personality to constant movements, the disclosure problematic issues. The author believes that creative activity has a definite structure, its main units include active, motivational, creative, emotional, intellectual, and volitional components. It is important that the article presents the stages of the development of the students’ creative activity in piano class such as: 1) information-cognitive; 2) activity transformation; 3) creatively-generalising. Each of the stages is distinguished by special forms of work and involves the use of such methods as activity — rewards, the formation of a creative position, reflexive analysis. As a result of the study, the author comes to the conclusion that the creative activity of a future teacher has stages and sequence, of special methods aimed at the creative and professional component of the piano teaching process.
Demanded competencies of graduates as an indicator of the quality of education

The main vector for the development of modern education is improvement of its quality, and the general guideline for social development is the digitalization of various spheres of human activity. Now digitalization has already become an integral part of our life, and digital transformation covers, along with other spheres of human life, the sphere of education. In this regard, new requirements are imposed on graduates who have received quality education. One of the indicators of the quality of the received education is the registry of the necessary competencies owned by the young specialist. The purpose of the research described in the article was to determine the list of key competencies and skills of graduates of educational institutions of higher education. The article presents the results of the analysis of different domestic and foreign approaches to the &amp;quot;set&amp;quot; of competencies and skills necessary in the digital era. As a result, the conducted theoretical research, analytical data from employers&amp;apos; surveys made it possible to identify competencies and skills, the formation and development of which must be guided by graduates of educational organizations. In general, the conclusion is made about the composition of the list of demanded competencies and skills of a modern educated person in the context of digitalization.