Reviewerly/exHarmony huggingface dataset:
Políticas de autoarquivamento em repositórios institucionais brasileiros: estudo analítico do metadado assunto

This study aims to analyze the self-archiving policies registered by the Brazilian institutional repositories, with emphasis on the guidelines established for subject representation. Therefore, exploratory-descriptive research was carried out in order to obtain the current scenario on the situation of self-archiving in Brazilian institutional repositories. It appears that most of the 108 Brazilian institutional repositories listed in the Brazilian Institute of Information in Science and Technology (IBICT) do not have a self-archiving policy that includes the subject representation. The seven identified policies reveal that only one has explicit indications about the quality of metadata, while the others point out the concern to follow the national and international metadata standards, or with some kind of validation before the deposit, but without mentioning the subject metadata.
Off-Road Trafficability for Military Operations Using Multi-Criteria Decision Analysis

This study has been carried out in the Pathankot region, having strategic importance in terms of military operations. It explores the ability of remote sensing and GIS in assessing off-road trafficability which is integral part of terrain intelligence. Number of thematic layers has been prepared using Sentinal -2 satellite images and PALSAR Digital Elevation Model (DEM) viz. LULC, Slope, Topographic Wetness Index (TWI), Terrain Roughness Index (TRI) and ground conditions to assess the potential of off-road trafficability in the study area for military operations. Results clearly depict that most of the region is suitable for off-road movement. However, north western part is showing less suitability. Keywords PALSAR; Multi-criteria Decision Analysis; AHP; Trafficability
The Investigation of Politeness Principles and Strategies Used in Akeelah and the Bee Movie

This research was aimed to investigate what kind of politeness principle and most dominant type applied in the utterances of the main characters’ Akeelah and the Bee movie and strategies applied in their utterances of the main characters’ Akeelah and the Bee movie. A descriptive qualitative was employed in this research. It concerned with the description of the data in the form of utterances produced by the characters in which politeness principles and strategies exist. There were two sources in this research. The primary source was the script of the movie. The secondary sources were books. The results of this research were: first, the main characters applied agreement maxim, approbation maxim, tact maxim, modesty maxim, and sympathy maxim in their utterances and the most dominant type used is agreement maxim. Second, in the application of politeness strategies, the main characters applied Bald-on-record, positive politeness, negative politeness, and off-record in their utterances. Keywords: Akeelah and the Bee , politeness principles , politeness strategies.
On Evolving Attention Towards Domain Adaptation

Towards better unsupervised domain adaptation (UDA). Recently, researchers propose various domain-conditioned attention modules and make promising progresses. However, considering that the configuration of attention, i.e., the type and the position of attention module, affects the performance significantly, it is more generalized to optimize the attention configuration automatically to be specialized for arbitrary UDA scenario. For the first time, this paper proposes EvoADA: a novel framework to evolve the attention configuration for a given UDA task without human intervention. In particular, we propose a novel search space containing diverse attention configurations. Then, to evaluate the attention configurations and make search procedure UDA-oriented (transferability + discrimination), we apply a simple and effective evaluation strategy: 1) training the network weights on two domains with off-the-shelf domain adaptation methods; 2) evolving the attention configurations under the guide of the discriminative ability on the target domain. Experiments on various kinds of cross-domain benchmarks, i.e., Office-31, Office-Home, CUB-Paintings, and Duke-Market-1510, reveal that the proposed EvoADA consistently boosts multiple state-of-the-art domain adaptation approaches, and the optimal attention configurations help them achieve better performance.
Management model in digital ecosystems

Abstract Rapid pace of digitalization of ecosystems in the modern world affect social and economic systems. State-of-the-art web technologies, a huge information system, have an increasing impact on human life. The information environment undergoes adverse effects during its functioning. To maintain functioning of the system information component, a properly constructed system and an adequate model of response to external effects are required. The response model in digital ecosystems will be designed with regard to three processes, namely: the problem formation process, the problem identification process, and the problem neutralization (elimination) process. An indicator of the efficiency of ecosystem functioning will be identification and neutralization of each problem. Simulation results confirmed the main trends in digital ecosystems functioning. The development and subsequent application of methods and techniques to achieve the set goal in a shorter time will always be relevant and in demand. To implement a rational approach to making managerial decisions, the leader responsible for digital ecosystem functioning can use network planning as a plan for the entire cycle of processes for maintaining the information security of the ecosystem as a whole.
Vulnerability Analysis of the Exposed Public IPs in a Higher Education Institution

Public IP addresses from a private or public higher education institution receive large amounts of network traffic. However, the data network is vulnerable to the possibility of security attacks.
Analysis of image inpainting and object removal methodologies

Abstract Image inpainting is a process that tries to fill in missing parts of a degraded image or remove objects from an image, but maintain the realistic content in the image. Various methods can be employed to perform inpainting. Here three benchmark methods of which two are conventional and other GAN based are evaluated to check the effectives of the inpainting process, for different class of images. The visual quality evaluation as well as quantification parameter namely the SSIM score was computed. Based on the test score it was seen that the GAN based method was capable of providing visually good restored images with an average SSIM score of 0.9516, which is an indicator on the quality of the image. The GAN based methods can be further enhanced to provide more realistic images by incorporating functions to extract both local and global contextual content.
Interaction between high resolution and high dynamic range in psychological effects of ultra-high-definition television

With the advent of the ultra-high-definition television (UHDTV) era, display resolutions and brightness of televisions have been augmented, and 4K and high dynamic range (HDR) videos are being publicly distributed. However, research on the psychological effects induced by these high-quality videos is still in its initial stages, and the video production methods that utilize these effects are still under investigation. Past studies have shown that expanding the dynamic range and improving the image resolution can enhance the impression of a video. In this study, we verified the effect of enhancing these impressions under the condition that the dynamic range and image resolution coexist in order to address the psychological effects of viewing UHDTV images. Four types of test images (2K/SDR, 2K/HDR, 4K/SDR, and 4K/HDR) were created for each of the six types of original images. Subsequently, subjective evaluation experiments were performed with a professional 4K monitor to measure the extent to which viewers sensed various impressions from the abovementioned images. Statistical analyses were conducted for the collected data, and it was found that high resolution and HDR were individually or collectively effective for enhancing a certain impression depending on the content. Furthermore, it was confirmed that the dynamic range and resolution had a synergistic effect. These findings can contribute toward more impressive video production and elucidation of the mechanisms influencing visual psychology.
‘Enough is enough: this cycle of violence has to come to an end’: Practical reasoning in the editorials during the extradition bill crisis of Hong Kong

Practical reasoning as an important form of argumentation in politics has received limited research attention in critical discourse studies despite the proposal of an analytical model. Focusing on argument development surrounding events related to the extradition bill crisis of Hong Kong, this paper analyzes 48 editorials published in the South China Morning Post during the crisis period adopting Fairclough’s model. A number of recurrent themes have been identified in the corpus in association with the four argument components within the model – Claims, Goals, Values and Circumstances – which may increase understanding of the social contexts of the extradition bill crisis. It is further argued that, although Fairclough’s model may not capture the arguments in individual editorials comprehensively, the model can be usefully applied to analyze a collection of interrelated editorials to reveal more insights about an ongoing political crisis.
#MeToo in Sweden - Over 75,000 voices raised

The disintegration of the Swedish Academy and the subsequent decision not to award the 2018 Nobel Prize in literature are perhaps the most palpable fallouts of the Swedish #MeToo movement. Manifestations in Sweden against sexual harassment had begun already in October 2017. A cascade of over thirty different Swedish hashtags from different sectors followed, signed in total by over 75,000 individuals sharing their own experiences of, or witness to, rape, sexual assault and harassment. The legal aftermath of the Swedish #MeToo movement, aside from a few criminal convictions, has been minimal. The Government dedicated SEK 120 million in the 2019 budget to educate judges, lawyers, police, teachers and students as to issues of sexual harassment and criminal offenses. However, the same pattern can be traced in most sectors, first denial, then shock that such problems actually exist, and then calls for greater educational efforts. Aside from the labor unions, few strong civil society organizations have taken up this issue. And as seen above, one of the Swedish #MeToo hashtags concerned sexual harassment within the labor union movement.
STUDENTS’ ANXIETY OF SPEAKING ENGLISH IN PUBLIC

Speaking skill is the most important skill to acquire in foreign language learning. Among the four key language skills, speaking is deemed to be the most important skill in learning a foreign language. The ability to speak a foreign language is predominantly influenced by one of the problems, namely speaking anxiety. This study aims to investigate the students’ speaking anxiety among college students. It focuses to reveal in what situation students feel anxious, the causal factors that make students feel anxious when speaking English in public, and how they overcome anxiety. This study applied descriptive qualitative to answer the research questions. The data were obtained through observation and interview. It was shown that the factors that made students feel anxious when speaking in English were lack of preparation, afraid of making mistakes, afraid of being laughed by friends, nervous when standing in front of people, afraid of being wrong to pronounce and choosing the words in English
Impact of Intercultural Educational Space on the Formation of Intercultural Competence of Future Teachers at a Pedagogical Higher Education Institution

The proposed research is directed at studying the impact of the intercultural educational space on the formation of intercultural competence of future teachers at a pedagogical higher education institution. To determine the levels of intercultural development, the authors adopted the Intercultural Maturity Model by P. King and M. Baxter Magolda. Having identified the initial, intermediate, and mature levels of intercultural development, the authors analyze the process of completion to the full development of intercultural competence. Experimental research was conducted in 2019 at the Institute of Pedagogics and Psychology at Ternopil Volodymyr Hnatyuk National Pedagogical University, Ukraine. To conduct the study the authors opened the Intercultural Communication Center, whose activity was aimed at modeling and implementation of intercultural educational space at this university. The participants in this study were 63 future teachers (third-year students of the University). The pedagogical experiment included the following stages: preparation, diagnostics, formation, and control. The authors identified the intercultural orientation of the goals of the educational process and tasks at each stage. The following methods were used: analysis, survey, interview, conversation, methods of observation. During the pedagogical experiment, attention was focused on the formation of students’ intercultural abilities according to the content and structure of intercultural competence. The study showed a redistribution of respondents in groups – a significant decrease in the percentage of students on the Initial Development Level (the difference is 55.6%) and an increase on the Intermediate Development Level (the difference is 20.6%) and Mature Development Level (the difference is 34.9%). Statistics allow us to assert the significant dynamics of changes in group indicators by levels of intercultural competence at the beginning and end of the study. The study confirmed the hypothesis that the creation of the intercultural educational space at the higher education institution has a positive effect on the process of intercultural competence formation.
Shortest Covers of All Cyclic Shifts of a String

A factor W of a string X is called a cover of X, if X can be constructed by concatenations and superpositions of W. Breslauer (IPL, 1992) proposed a well-known $$\mathcal {O}(n)$$-time algorithm that computes the shortest cover of every prefix of a string of length n. We show an $$\mathcal {O}(n \log n)$$-time algorithm that computes the shortest cover of every cyclic shift of a string and an $$\mathcal {O}(n)$$-time algorithm that computes the shortest among these covers. A related problem is the number of different lengths of shortest covers of cyclic shifts of the same string of length n. We show that this number is $$\varOmega (\log n)$$.
Static Analysis of Frame Structure of Post-Stroke Tricycle Design Based on Solidworks Software 2012 with Material Type Variations

The body weight of post-stroke patients varies from one another, this can affect material selection. In this study, the researchers designed a three-wheeled frame using various types of material and the same material size including: galvanized pipe, stainless pipe (AISI 304), mild steel pipe (ASTM A36), Alloy Steel pipe to obtain a safe design for sufferers post-stroke, the skeletal design was analyzed statically using Soliworks 2012 software to obtain the results of analysis in the form of: Von Mises Voltage, Safety Factor (Strain) and Strain (Displacement). Static analysis of Post-Stroke Tricycle Design results obtained the greatest Von Mises Voltage value on ASTM A36 type material with a stress value of 154.5 N/mm2 (MPa) and the smallest stress value in Galvanized type material with a stress value of 150.8 N/mm2 ( MPa). Based on the results of the analysis of Safety Factors (Safety of Factor) so that the design can be said to be safe for patients after stroke, the type of material that must be used is Alloy Steel with a value of Safety Factor (Safety of Factor) of 5.49.
On The Formation of the Pedagogical Culture of Future Mathematics Teachers in the Context of the Implementation of the Competence- Based Approach

The leading research technologies are metacognitive technologies of a reflexive character with the means of information and communication technologies. The following methods were used in the study: theoretical (analysis of philosophical, psychological and pedagogical literature on the problem of research, study of mass and generalization of advanced pedagogical experience, pedagogical modeling), empirical (pedagogical observation, conversation, questionnaire, interviewing, testing). The materials of the article can be useful to future mathematics teachers, graduate students, teachers of higher educational institutions interested in the formation of teacher's pedagogical culture, and professional training of subject specialists.
FLIPGRID AND PADLET AS EDUCATIONAL TECHNOLOGY RESOURCES IN PRE-PRIMARY AND PRIMARY DISTANT LEARNING CONTEXTS. THEIR USABILITY ACCORDING TO THE BELIEFS OF PROSPECTIVE TEACHERS

Information about the paper titled "FLIPGRID AND PADLET AS EDUCATIONAL TECHNOLOGY RESOURCES IN PRE-PRIMARY AND PRIMARY DISTANT LEARNING CONTEXTS. THEIR USABILITY ACCORDING TO THE BELIEFS OF PROSPECTIVE TEACHERS" at IATED Digital Library
Please Patiently Pick Per Person-Pedadogue, Pretender, Plagiartist, Pilferer

Mister Seun Ayoade* Author Affiliations Independent Researcher, Department of Physiology, Nigeria Received: March 28, 2019 | Published: April 08, 2019 Corresponding author: Mister Seun Ayoade, Independent Researcher, Department of Physiology, Oyo State, Nigeria DOI: 10.26717/BJSTR.2019.16.002917
On regulation of upbringing activity in organizations of professional education

Discussed is the problem of upbringing activities in the system of vocational education. In recent years this problem has not received much attention. To correct this situation, in July 2020 amendments were made to the law “On Education in the Russian Federation” about the problem of upbringing of students. Approved that it is necessary to include a working program of upbringing of students in educational programs. It is proposed that at the beginning the educational organization should develop a generalized program of upbringing of students and a calendar plan of upbringing activities. A variant of the program of upbringing of students at the university is given.
Adversarial YOLO: Defense Human Detection Patch Attacks via Detecting Adversarial Patches

The security of object detection systems has attracted increasing attention, especially when facing adversarial patch attacks. Since patch attacks change the pixels in a restricted area on objects, they are easy to implement in the physical world, especially for attacking human detection systems. The existing defenses against patch attacks are mostly applied for image classification problems and have difficulty resisting human detection attacks. Towards this critical issue, we propose an efficient and effective plug-in defense component on the YOLO detection system, which we name Ad-YOLO. The main idea is to add a patch class on the YOLO architecture, which has a negligible inference increment. Thus, Ad-YOLO is expected to directly detect both the objects of interest and adversarial patches. To the best of our knowledge, our approach is the first defense strategy against human detection attacks. We investigate Ad-YOLO's performance on the YOLOv2 baseline. To improve the ability of Ad-YOLO to detect variety patches, we first use an adversarial training process to develop a patch dataset based on the Inria dataset, which we name Inria-Patch. Then, we train Ad-YOLO by a combination of Pascal VOC, Inria, and Inria-Patch datasets. With a slight drop of $0.70\%$ mAP on VOC 2007 test set, Ad-YOLO achieves $80.31\%$ AP of persons, which highly outperforms $33.93\%$ AP for YOLOv2 when facing white-box patch attacks. Furthermore, compared with YOLOv2, the results facing a physical-world attack are also included to demonstrate Ad-YOLO's excellent generalization ability.
Research Field of Mobile Learning in China: Current Situation and Enlightenment

Taking the mobile learning literature in the CNKI journal database as the research sample, this paper conducted in-depth research and analysis on the related literature by using research methods such as bibliometrics, social network analysis, and multi-dimensional scaling analysis. The results show that: (1) The research results increased significantly, mainly distributed in pedagogy, computer science, with obvious “centralization-decentralization” characteristics; (2) low degree of research cooperation and small scale of cooperation restrict the further research and development of mobile learning; (3) In the past two decades, mobile learning research in China has experienced three stages: initial stage, rapid development stage and comprehensive deepening stage; (4) At present, the three major themes of mobile learning research are mobile learning application mode research, mobile learning support environment research, mobile learning theory research. Flipped classroom, micro learning, mobile learning plafform, mobile teaching mode are the current research hotspot. In the future, the healthy development of mobile learning research requires not only strengthening communication and cooperation, but also focusing on the transformation of research paradigm, as well as strengthening the formulation of industry standards.
Quantum Machine Learning

In this chapter and the next one, we will explore the exciting areas of quantum machine learning and quantum deep learning. Machine learning and deep learning have seen great success in recent years because of the increase in the computational power at our disposal and because of the high-end research in these fields. Quantum machine learning presents an exciting opportunity to increase the computational efficiency of the existing machine learning algorithms as well as presents a way to tackle some of the more computationally intractable problems. In this chapter, we start with the Harrow-Hassidim-Lloyd algorithm, popularly known as HHL, which acts as the matrix inversion routine in the quantum computing domain. Hence, HHL will be the default choice for algorithms such as linear regression and least square support vector machines. Subsequently, we touch upon quantum linear regression and support vector machines in detail in this chapter. We will then move on to implementing quantum routines such as quantum dot product and quantum Euclidean distances since they are integral to several machine learning algorithms such as the k-means clustering and nearest neighbor methods. In this regard, we will implement the k-means clustering method in detail. Also, we will discuss how Grover’s algorithm can be used to optimize quantum objectives by illustrating its usage in the cluster assignment in the k-means algorithm. Principal component analysis is an important machine learning technique, and we will walk through its quantum implementation in great detail as well.