Reviewerly/exHarmony huggingface dataset:
Monitoring the quality of the initial performance of the potential engineer-pedagogues as a pedagogical problem

The article reveals the concept of the monitoring the quality of future engineer-pedagogues’ educational activities and outlines the approaches to its determination in the current studies on the basis of psychological and pedagogical literature analysis. The purpose of the article is to determine the essential characteristics of the concept of monitoring the quality of future engineer-pedagogues educational activities, its capabilities and areas of implementation in the process of their professional training. The research methods are analysis of psychological and pedagogical sources and results of scientific research, questionnaire, testing of academic success, observation, analysis of reporting documentation and statistical data of educational institutions.&#x0D; The results. The benefit of the study is that the notion of monitoring within the system of training the experts of engineering and pedagogical specialities has been defined as the process of continuous, scientifically justified, diagnostic and prognostic, targeted and activity-based supervision over the state and didactic process development of students in order to select optimal professionally-oriented tasks, means, and methods how the assignments are carried out. The authors analyze the principal stages of monitoring the quality of future engineer-pedagogues’ educational activities within the system of higher education by means of formation of students’ general and special (professional) competencies during acquiring a number of educational components oriented towards their further professional activities. The authors describe the key role of monitoring the quality of future engineer-pedagogues’ educational activities as an instrument used to obtain integral vision about the quality of training of students of engineering and pedagogical specialities and the necessity to perform such procedure systematically. The article presents the results of survey questionnaire designed for teachers and students about the types of control (input (preliminary), current, progress, and final) while monitoring the quality of future engineer-pedagogues’ educational activities.&#x0D; Conclusions. The main attention should be given to the necessity to provide flexible and variable forms, methods, and means of control while monitoring the quality of future engineer-pedagogues’ educational activities; to the role of teaching staff in this process, including stimulation, control and encouragement of students’ cognitive activities, contributing the individualization of educational process.
Design of a discrete сosine transformation processor for image compression systems on a losless-to-lossy circuit

Today, mobile multimedia systems that use the H.261 / 3/4/5, MPEG-1/2/4 and JPEG standards for encoding / decoding video, audio and images are widely spread [1–4]. The core of these standards is the discrete cosine transform (DCT) of I, II, III ... VIII types [DCT]. Wide support in a huge number of multimedia applications of the JPEG format by circuitry and software solutions and the need for image coding according to the L2L scheme determines the relevance of the problem of creating a decorrelated transformation based on DCT and methods for rapid prototyping of processors for computing an integer DCT on programmable systems on a FPGA chip. At the same time, such characteristics as structural regularity, modularity, high computational parallelism, low latency and power consumption are taken into account. Direct and inverse transformation should be carried out according to the “whole-to-whole” processing scheme with preservation of the perfective reconstruction of the original image (the coefficients are represented by integer or binary rational numbers; the number of multiplication operations is minimal, if possible, they are excluded from the algorithm). The wellknown integer DCTs (BinDCT, IntDCT) do not give a complete reversible bit to bit conversion. To encode an image according to the L2L scheme, the decorrelated transform must be reversible and implemented in integer arithmetic, i. e. the conversion would follow an “integer-to-integer” processing scheme with a minimum number of rounding operations affecting the compactness of energy in equivalent conversion subbands. This article shows how, on the basis of integer forward and inverse DCTs, to create a new universal architecture of decorrelated transform on FPGAs for transformational image coding systems that operate on the principle of “lossless-to-lossy” (L2L), and to obtain the best experimental results for objective and subjective performance compared to comparable compression systems.
Violating Maxim Quantity in a Movie "Murder on the Orient Express"

The cooperative principle is an important thing for people who have a conversation. People need to follow  the cooperative principle to be a success in transferring ideas. One principle that people need to obey is maxim of quantity. Maxim of quantity suggests the people make their contribution as it is required. They  are not allowed to talk too much or too short. When they do this, they are categorized doing maxim of  quantity violation. This study is conducted to discover the ways people violate maxim of quantity and the  reasons why they tend to violate it rather than obey it. there are five ways people violate maxim of quantity  and two reasons that encourage them to do it. Keywords: Cooperative principle, violating maxim of quantity, the ways, the reasons
PENGARUH MODEL PROBLEM BASED LEARNING TERHADAP PEMBELAJARAN MENULIS TEKS EKSPLANASI PADA SISWA KELAS VIII

In learning Indonesian, which is listed in the 2013 curriculum, there are texts that must be studied, including explanatory text. In learning, students are expected to be able to participate actively and critically in every lesson they participate in, students are expected to develop their own knowledge, and students also at the end of their learning that have been studied must be able to produce products in the form of explanatory text. This study aims to see the effect of the Problem Based Learning method on students' writing ability through explanatory text, because in the learning process students still have difficulty producing a product or their writing. This study used an experimental method, from the results of the research that had been carried out, the average value of the initial test score was 57.5 and for the final test it was obtained 75.5 and finally there was a difference in this study so that according to statistical calculations it was also obtained t count = 4.38 > t table = 2.00, which means that the final test is greater than the initial test. And based on the results of hypothesis testing, it can be obtained with a sig: 0.000 value smaller than 0.05, then the alternative hypothesis is accepted and the null hypothesis is rejected. Thus the Problem Based Learning method greatly influences the learning process, because students can think critically in solving problems and this method is very effective in the learning process of writing explanatory text.
LibGuides: Resource Sharing/ILL at University of Richmond Libraries : Hints and Tips

This guide summarizes uses, updates, and guidance for Resource Sharing/ILL at Boatwright Library and Parsons Music Library at the University of Richmond. Hints and Tips for resource sharing and ILLiad success
HARP Pro: Hierarchical Representation Learning based on global and local features for social networks

The purpose of network representation learning methods is to learn the node low-dimensional representations to accomplish node classification, link prediction, network visualization, and so on.Most of the network representation learning methods cannot keep local structural features and global structural features, resulting in poor performance at classification tasks for social networks.To solve this problem, we propose HARP Pro, a novel method for learning latent node representations which can maintain lower-order and higherorder hierarchical structures.On the one hand, HARP Pro coarsens the graph based on the community detection method.It can preserve the relationships between bridge nodes and communities.On the other hand, it presents a graph coarsening method based on Degree to keep the relationships between nodes and their neighborhood.It can capture the lower-order hierarchical structure of the graph.Then it puts the hierarchical information into the network embedding methods iteratively like HARP.Finally, it obtains node representation vectors which integrate global and local structural features.Experimental results on CiteSeer and Blogcatalog dataset show that the performance of HARP Pro is better than HARP and the baseline methods, DeepWalk, LINE, and Node2vec.The results reveal that HARP Pro can sustain local and global structural features.
An Error Analysis on Students’ Abstract of College Students at Banten Jaya University

Writing is not a natural talent in language acquisition since it necessitates both editing and revising, making it appear to be a simple activity. A dictionary might be used by students to assist them use a foreign language in any situation. These exercises, however, may cause a number of mistakes in pupils' writing tasks. In light of this, the purpose of this study is to detect students' difficulties and grammatical mistakes during the academic writing process. In this study, mixed techniques were used to document the works of vocational college students and conduct interviews with them. The evidence on learners' grammatical mistakes was gathered, transcribed, evaluated, and interpreted. The students' mistakes were found to be in the following areas: tense (38.0%), preposition (11.7%), article (11.4%), conjunction (11.4%), omission (8.9%), subject-verb agreement (6.3%), and adverb (6.3%). (2.5 percent ). Meanwhile, according to the interview, most of the students (81.8 percent) utilized a translation tool such as Google translate to help with language competency during the writing process. Despite using a translation tool in writing, the majority of students (73%) said it was a challenging ability to master, and 18% considered the writing process was the most difficult of all language tasks.
Understanding the Impact of COVID-19 on Github Developers: A Preliminary Study

The ongoing COVID-19 pandemic has impact almost every aspect of human lives profoundly.This paper investigates the impact of COVID-19 on the activity and contribution of open source software (OSS) developers.Specifically, we make great efforts to harvest the information of all the developers (over 25 million) on GitHub and their contribution activities.With such a large-scale dataset, we perform analysis from four perspectives, including the overall ecosystem level, country level, organization level and developer level, to characterize the impact of COVID-19 on the OSS community.We have revealed a number of interesting observations and trends, which are crucial to understanding the OSS contributors and supporting the collaboration to combat global crisis like COVID-19.
The Processing of Verb-Noun Constructions in Mandarin Chinese

Recent empirical research suggests that understanding a counterfactual event (e.g. ‘If Josie had revised, she would have passed her exams’) activates mental representations of both the factual and counterfactual versions of events. However, it remains unclear when readers switch between these models during comprehension, and whether representing multiple ‘worlds’ is cognitively effortful. This paper reports two ERP studies where participants read contexts that set up a factual or counterfactual scenario, followed by a second sentence describing a consequence of this event. Critically, this sentence included a noun that was either consistent or inconsistent with the preceding context, and either included a modal verb to indicate reference to the counterfactual-world or not (thus referring to the factual-world). Experiment 2 used adapted versions of the materials used in Experiment 1 to examine the degree to which representing multiple versions of a counterfactual situation makes heavy demands on cognitive resources by measuring individuals’ working memory capacity. Results showed that when reference to the counterfactual-world was maintained by the ongoing discourse, readers correctly interpreted events according to the counterfactual-world (i.e. showed larger N400 for inconsistent than consistent words). In contrast, when cues referred back to the factual-world, readers showed no difference between consistent and inconsistent critical words, suggesting that they simultaneously compared information against both possible worlds. These results support previous dual-representation accounts for counterfactuals, and provide new evidence that linguistic cues can guide the reader in selecting which world model to evaluate incoming information against. Crucially, we reveal evidence that maintaining and updating a hypothetical model over time relies upon the availability of cognitive resources.
Supporting Emotion Automatic Detection and Analysis over Real-Life Text Corpora via Deep Learning: Model, Methodology and Framework

This paper describes an approach for supporting automatic satire detection through effective deep learning (DL) architecture that has been shown to be useful for addressing sarcasm/irony detection problems.We both trained and tested the system exploiting articles derived from two important satiric blogs, Lercio and IlFattoQuotidiano, and significant Italian newspapers.
Management of Covid-19 in Nigeria: Contending Paradigms of Democratic State’s Protectionist Rights Versus Individuals’ Libertarian Rights

COVID-19 Pandemic put forward a new regime of paradigmatic contention as to the supremacy of state versus individual rights in a social contractual existence. John Locke, Thomas Hobbes and Rousseau just like other ancient and medieval political thinkers hypothesised the collective existence of man under the umbrella called state. Such existence epitomises a relatively peaceful and harmonious relationship between, first, man and his fellow man, and second, men and the state. The COVID-19 Pandemic presented with a new question: which among the two variants of rights (individual or state) owns supremacy? While the state’s right advocates an express non-consultative, unconventional action to quell the pandemic, individual rights advocate a consultative, constitutional, flexible and intentional consideration of individual convenience regardless of the rampaging effects of the pandemic. Each of these paradigmatic variances claims legitimacy on law and rights. This paper seeks to examine the various COVID-19 Pandemic Management Strategies adopted by the Nigerian state and how these have affected individual rights of citizens. It is the position of the authors that consistent divestment of human rights or appropriation of state’s law over human rights and freedom creates a pathway for new regime of autocratic democracy which is the rule of (not law) but institutions created by law; an event where the democratic institutions are stronger than the law itself. The paper further recommends new measures to address pandemics while keeping with the stability of the state and individual rights.
Risk Analysis for Collaborative Systems during Requirements Engineering (S)

Risk, a potential occurrence of some undesirable event, can be dangerous if not adequately identified and dealt with early on during software development.However, identifying risks can be difficult, hence oftentimes resulting in a particular software system that is unable to address risks, especially critical ones adequately.This paper proposes an ontology-based framework for performing risk analysis with the Augmented Reference Model -The Reference Model augmented with risk analysis.The Reference Model emphasizes that the user requirements are met through the collaboration between the system and the events occurring in its environment -i.e., not by the system alone, hence the term "collaborative system."We also offer an activity-oriented ontology to carry out risk analysis by identifying risks from negating the events in the environment and system.Such negations of the requirements, specifications, and domain events generate a graph-like representation, called Risk Analysis Graph (RAG), to help perform risk analysis.To validate our framework, we have performed two experiments using questionnaires to identify risks and use the risk analysis tool to generate RAG for performing risk analysis.We feel that at least these experiments show that RAG helps identify risks -especially the critical and uncommon ones that we would not have thought of.
Multi-location, two-interval paradigms can overcome roving costs – an explanation of Xie &amp; Yu (2020) data by an extended Integrating Reweighting Theory (IRT)

Perceptual learning is often slowed or eliminated when task variants are intermixed —so called task roving. We (Dosher et al., 2000) recently showed dramatically slower learning when four different orientation discrimination tasks were intermixed (+/-12deg from 4 separated axes), relative to training either with identical or sufficiently different axes in all four locations. A computational framework, the IRT, successfully modeled the pattern of results. A similar study (Xie & Yu, 2020) also intermixed training of four orientation discrimination tasks in twelve locations. Structurally, the two studies are similar—but here robust learning occurred, with transfer to an untrained task-and-location combination. We suggest that the key contrast reflects the use of a two-interval design vs the more commonly used single interval identification design. (The tasks also differ in using orientation difference thresholds versus contrast thresholds.). In this study, we create a new extension of the IRT for the two-interval design and provide an excellent fit to the four training conditions of Xie and Yu: learning where the locations/tasks shift predictably from trial to trial, where the locations/tasks are randomized over trials, where the training location/task is the same as in pre- and post- tests, and a control condition that measures only transfer without training, reproducing both the empirical learning and transfer effects. In the new IRT model extension, the activations in four mini-decision units (driven by connections from location-specific and location-invariant orientation tuned representations) from the first interval are stored and compared to those in the second interval. Capitalizing on these two-interval comparisons avoids the roving disruption; location-invariant learning from multiple locations enables transfer. We propose the new IRT as a computational framework for perceptual learning in two-interval designs that can be put to additional empirical tests to understand the differences or similarities in perceptual learning in single- and two-interval tasks.
한국어 L1 화자와 L2 화자의 서사 텍스트에 나타난 응결성 비교

This paper aims to analyze the differences between Korean L1 group and L2 group in cohesive expression in narrative text writing. The previous studies have been pointed out that the Korean L2 texts lack cohesive expression, but not enough contrast studies have been done comparing cohesive expressions between L1 and L2 texts. Thus, it was difficult for L2 speakers to recognize how their textual composition should be modified in comparison to L1 speakers.This paper analyzes the characteristics of L1 text that L2 speakers can refer to for text writing. It examined the method of lexical cohesion, the use of tense forms, the use of sentential conjunctions and conjunctive endings for semantic cohesion, and the use of determinative phrases as representative language devices in cohesive expression.There was no significant difference between the two groups in the expression of lexical cohesion, which was considered to be related to the lack of substitutive pronouns in Korean. In use of the tense form, the two groups showed a distinct contrast, with L2 speakers using the tense form as a deitic function, while L1 speakers used it as a modal function. In addition, although both groups used sentential conjunctions and conjunctive endings as cohesive devices, the L1 group used sentential conjunctions much more diversely and more often. In contrast, the L2 group showed a relatively high dependence on conjunctive endings than sentential conjunctions.Finally, semantic cohesion by determinative phrase differed significantly in the two groups. In L1 text, unlike in L2, noun phrases in each sentential component have been modified by a determinative phrase. In conclusion, L2 speakers need to be trained with the use of sentential conjunctions, along with the modal function of tense forms. In addition, they need to use determinative phrases for semantic cohesion more often.(Jeonju University)
PENGARUH METODE THE SIX THINKING HATS TERHADAP KEAKTIFAN BELAJAR SISWA PADA MATA PELAJARAN PKn KELAS XI SMA NEGERI 4 KAYUAGUNG KABUPATEN OGAN KOMERING ILIR SUMATERA SELATAN

The problem in this study is is there any effect of the six thinking hats method on student learning activeness in Civics Class XI subjects at Kayuagung State High School 4 Ogan Komering Ilir Sumatera Selatan. District. The purpose is to find out whether there is an influence of the six thinking hats method on the activity of students in PPKn subjects. The method used was a quasi-experiment. As a test data collection technique used is the observation sheet. The data analysis technique used is the calculation of the t-test using SPSS 22. The results of this study indicate that there are differences in the results of the activity test between the experimental class and the control class. The average value of the initial test of the activity of the experimental class students 51.25 and the final test 84.00. The average value of the initial control class 51.41 and the final test 70.84. The results of data analysis showed that the average learning outcomes of the experimental class were greater than the control class, namely 70.53&gt; 57.61. Based on the results of the first analysis shows that tcount (7,566) is higher than ttable (1,669) with a degree of validity 62 (df 62) at the level of significance of probability below 0.05 or 0,000 &lt;0.05. This means that H0 is rejected, and Ha is accepted. In other words, the six thinking hats method has a positive influence on student learning activeness in PPKn subjects.
A Novel Node Management in Hadoop Cluster by Using DNA

This paper proposes a novel node management for the distributed system using DNA hiding and generating a unique key by combing a unique physical address (MAC) of node and hostname. This mechanism provides better node management for the Hadoop cluster providing adding and deletion node mechanism by using limited computations and providing better node security from hackers. The objective of this paper is to design an algorithm to implement node-sensitive data hiding using DNA sequences and provide security to the node and its data from hackers.
Study on the Kinds of Training Difficulty in Feedforward Neural Networks

Training difficulty in feedforward neural networks has been studied since the resurge of the Back Propagation technique. By a new way in which symmetry group and Polya Theorem are used, this paper discusses how many different kinds of training difficulty (DKTD) are there to the maximum if the training patterns are binary. The results for the case of N ⩽ 3 are given where N is the dimension of input patterns. We find that the above numbers are much smaller than those we usually think intuitively and the ratios of them decrease greatly as N increases, i.e., 0.444, 0.1605, 0.0236 ⋯.