Reviewerly/exHarmony huggingface dataset:
Three cognitive mechanisms for knowledge tracking: commentary on Phillips et al, 2020, BBS

We welcome Phillips et al.’s proposal to separate the understanding of ‘knowledge’ from that of ‘beliefs’. We argue that this distinction is best specified at the level of the cognitive mechanisms. Three distinct mechanisms are discussed: tagging one’s own representations with those who share the same reality; representing others’ representations (metarepresenting knowledge); and attributing dispositions to provide useful information
초급 한국어 학습자의 조사 습득 및 발달 연구

This research aims to analyze Korean language learners’ spoken corpus to reveal their acquisition order and development patterns of particles. To this end, we collected free conversation data of beginning level Korean language learners over five months and constructed a corpus. It was confirmed that particle acquisition takes place over four stages based on the frequency of particle use and its accuracy. The stages of development were first ‘ey, un/nun, i/ka(nominative), ul/lul’, second ‘eyse, hako(conjunction), to, hako(adverbial)’, third ‘(u)lo, pota, man, eykey, kkaci, puthe, kkeyse, ui’, and fourth ‘hanthey, (i)na(conjunction), wa/kwa(conjunction), kkey, (i)lang(adverbial), eykeyse, mata, wa/kwa(adverbial), (i)na(auxiliary particle), pakkey, (i)lang(conjunction)’. Based on these findings, the characteristics shown in the particle use of beginning level learners are as the following. First, case markers start to develop foremost. Second, the accuracy of each particle use tends to decrease slightly over time. Third, the frequency of some particles was observed to suddenly increase and then decrease again at a certain period. Fourth, the order of most, but not all particles’ appearance seemed to be related to the order of being introduced in textbooks. It is important that this research provides implications for grammar education when establishing Korean language education curriculum or developing grammar syllabus.
Interactive Real-time Teaching System Based on Keyword Matching Algorithm

research-article Interactive Real-time Teaching System Based on Keyword Matching Algorithm Share on Author: Ling Zhou Yantai Vocational College Yantai Vocational CollegeView Profile Authors Info & Claims CONF-CDS 2021: The 2nd International Conference on Computing and Data ScienceJanuary 2021 Article No.: 104Pages 1–4https://doi.org/10.1145/3448734.3450834Published:28 January 2021 0citation6DownloadsMetricsTotal Citations0Total Downloads6Last 12 Months6Last 6 weeks2 Get Citation AlertsNew Citation Alert added!This alert has been successfully added and will be sent to:You will be notified whenever a record that you have chosen has been cited.To manage your alert preferences, click on the button below.Manage my AlertsNew Citation Alert!Please log in to your account Save to BinderSave to BinderCreate a New BinderNameCancelCreateExport CitationPublisher SiteGet Access
Subtle racism in English language: A socio-semiotic analysis of black-prefixed English lexicons

The English language has become a global language and as such, it is expected to be devoid of racial discrimination and prejudice. The English language has both verbal and non-verbal systems of communication which often requires semantic and semiotic analyses for the purpose of generating meaning. Most English words with the prefix 'black' have meanings that are either connotative or derogative. Using Jakobson’s transmutation theory, the study establishes the relationship between colour, culture, and racial prejudice in English language black-prefixed lexicons. This is a subtle form of racism when such words are taught in schools. The design adopted for this research was a qualitative, and no variables were manipulated because it was a library research. The study examined the socio-semiotic elements of black-prefixed words in the English language to establish that there is subtle racism in English expressions used and taught in schools. It was concluded that instruction in the language should be revitalized to eradicate racism of any form, especially in the second language classroom.
2021학년도 대학수학능력시험 중국어I 타당도 분석 ― 2015 개정교육과정과의 상관관계를 중심으로

In this paper, we analyzed the validity of the evaluation by reviewing whether the Chinese I (hereinafter referred to as CSAT Chinese) evaluation questions in the second foreign language/Chinese characters area of the 2021 College Scholastic Ability Test (CSAT) meet the 2015 revised curriculum and CSAT test guidelines. We investigated whether the CSAT Chinese questions meet the level of the Chinese Ⅰ curriculum and the test guide, focusing on vocabulary and grammar among the five major evaluation elements of the test guide released by the Korea Institute for Curriculum and Evaluation (KICE). We found that Chinese I and Chinese II share the same syllabus of the vocabulary and grammar in the curriculum, so the range of the CSAT of ChineseⅠwas expanded to Chinese Ⅱ in terms of vocabulary and grammar. The level of difficulty in basic vocabulary and grammar items are not limited in the curriculum. As a result, the vocabulary or grammar items used in Chinese Ⅰ of the CSAT may be equivalent to or higher than the level of Chinese II. We analyzed the grounds for making exam questions that presented by KICE, and found that almost questions met not only the achievement standard of Chinese Ⅰ, but also Chinese Ⅱ. Therefore, it is necessary to adjust the difficulty to balance with other subjects in the same area in order to ensure fairness under the absolute evaluation system in the future.
Regarding the complexity of additive clustering models

The additive clustering approach to modeling pairwise similarity of entities is a powerful tool for deriving featural stimulus representations. In a recent paper, Lee (2001) proposes a statistically principled measure for choosing between clustering models that accounts for model complexity as well as data fit. Importantly, complexity is understood to be a property, not merely of the number of clusters, but also their size and pattern of overlap. However, some caution is required when interpreting the measure, with regard to the applicability of the Hadamard inequality to the complexity matrix.
THE ROLE OF THE SENIOR GENERATION OF THE FAMILY IN THE REARING OF PRESCHOOL CHILDREN

The article is a study of the problem of pedagogical features of the formation of moral qualities in preschool children on the basis of scientifictheoretical, methodological, socio-political sources, analysis of the current situation in practice. The definition and substantiation of the relationship between the concept of moral qualities of preschool children and the pedagogical and social moral characteristics of children is given.
Non-malleable Coding for Arbitrary Varying Channels

Non-malleable codes protect against an adversary who can tamper with the coded message by using a tampering function in a specified function family, guaranteeing that the tampering result will only depend on the chosen function and not the coded message. The codes have been motivated for providing protection against tampering with hardware that stores the secret cryptographic keys, and have found significant attention in cryptography. Traditional Shannon model of communication systems assumes the communication channel is perfectly known to the transmitter and the receiver. Arbitrary Varying Channels (AVCs) remove this assumption and have been used to model adversarially controlled channels. Transmission over these channels has been originally studied with the goal of recovering the sent message, and more recently with the goal of detecting tampering with the sent messages. In this paper we introduce non-malleability as the protection goal of message transmission over these channels, and study binary (discrete memoryless) AVCs where possible tampering is modelled by the set of channel states. Our main result is that non-malleability for these channels is achievable at a rate asymptotically approaching 1. We also consider the setting of an AVC with a special state s*, and the additional requirement that the message must be recoverable if s* is applied to all the transmitted bits. We give the outline of a message encoding scheme that in addition to non-malleability, can provide recovery for all s* channel.
Cyber Psychology: A qualitative study to deviate black hat hacker teenagers towards white hat hacker teenagers in Mauritius

This is a qualitative research paper with 10 teenage participants from 11 years old to 18 years old from Cyberstorm members in Mauritius. These teenagers had been noticed with black hat hacker’s mindset, behaviors and personality traits. But under observation and guidance during 6months, it was detected that their deviant behavior had been shifted from black hat hacker to white hat hacker.
Ethnopedagogics in the field of humanities

Rapid socio-cultural changes taking place in our country entail an inalienable modernization of all spheres of the material and spiritual life of society. This process has not bypassed the traditional education system. Every day the new concept of higher education makes more and more new requirements for the system of training specialists. A kind of «swing» from technical to humanitarian education is a rather old phenomenon, and today, apparently, the creators of artificial intelligence receive a clear priority in the development of educational programs for training specialists of any direction. «New challenges» of modern society entail new problems, one of them, in our opinion, is changes in the world of values. Therefore, the upbringing of deep respect for the culture of other peoples, the formation of the value-semantic component of the life of the young generation is the most relevant direction in education, which is adequately handled by one of the subsystems of Pedagogics - Ethnopedagogics. The aim of the study is to analyze Ethnopedagogics as a humanitarian resource of the education system. The multidimensional nature of the problem has made it possible to use the methods of interdisciplinary synthesis to form an interconnected complex of ideas about Ethnopedagogics as an integral and diverse scientific knowledge.
Boosting Light-Weight Depth Estimation Via Knowledge Distillation

Monocular depth estimation (MDE) methods are often either too computationally expensive or not accurate enough due to the trade-off between model complexity and inference performance. In this paper, we propose a lightweight network that can accurately estimate depth maps using minimal computing resources. We achieve this by designing a compact model architecture that maximally reduces model complexity. To improve the performance of our lightweight network, we adopt knowledge distillation (KD) techniques. We consider a large network as an expert teacher that accurately estimates depth maps on the target domain. The student, which is the lightweight network, is then trained to mimic the teacher's predictions. However, this KD process can be challenging and insufficient due to the large model capacity gap between the teacher and the student. To address this, we propose to use auxiliary unlabeled data to guide KD, enabling the student to better learn from the teacher's predictions. This approach helps fill the gap between the teacher and the student, resulting in improved data-driven learning. Our extensive experiments show that our method achieves comparable performance to state-of-the-art methods while using only 1% of their parameters. Furthermore, our method outperforms previous lightweight methods regarding inference accuracy, computational efficiency, and generalizability.
21. The Manuscript Handling Process (Scientific Editing)

Writing and Publishing Scientific Papers stands out from its field by targeting scientists whose first language is not English. While also touching on matters of style and grammar, the book’s main goal is to advise on first principles of communication.
Pose Estimation for Omni-directional Cameras using Sinusoid Fitting

We propose a novel pose estimation method for geometric vision of omni-directional cameras. On the basis of the regularity of the pixel movement after camera pose changes, we formulate and prove the sinusoidal relationship between pixels movement and camera motion. We use the improved Fourier-Mellin invariant (iFMI) algorithm to find the motion of pixels, which was shown to be more accurate and robust than the feature-based methods. While iFMI works only on pin-hole model images and estimates 4 parameters (x, y, yaw, scaling), our method works on panoramic images and estimates the full 6 DoF 3D transform, up to an unknown scale factor. For that we fit the motion of the pixels in the panoramic images, as determined by iFMI, to two sinusoidal functions. The offsets, amplitudes and phase-shifts of the two functions then represent the 3D rotation and translation of the camera between the two images. We perform experiments for 3D rotation, which show that our algorithm outperforms the feature-based methods in accuracy and robustness. We leave the more complex 3D translation experiments for future work.
Rural Women’s Access to ICTs in ‘Digital Bangladesh’: Rationale and Challenges

Despite the Constitutional guarantee of equal rights and participation in all spheres of life, women in Bangladesh, especially in rural areas, are considered as part of underserved and unreached segments of the society. To address this challenge of delivering services to all citizens, Bangladesh embraces the policy of establishing e-governance under the theme of ‘Digital Bangladesh’ by building ICT infrastructures across the country. In this context, this paper explores how rural women in Bangladesh are utilizing ICT tools, i.e. Internet and the e-service delivery network. For that, the paper examines the rationale of assessing ICT tools along with encountered infrastructural challenges. The paper, examining the qualitative responses of participants, concludes that the theme of Digital Bangladesh is playing a critical role in assisting many rural women to address some age-old social challenges, which, in fact, playing a critical role in promoting social development.
MODEL-MODEL PEMBELAJARAN YANG DIGUNAKAN UNTUK MENGAJARKAN MATERI MENELAAH STRUKTUR SYAIR PADA SISWA KELAS VII SMP

This study aims to determine the learning model used to teach the material to examine the structure of the poetry in seventh grade students of junior high school and how the learning process is carried out using the learning model used.The data collection steps in this study
Neural network approaches for a facility location problem

This paper examines the possibility to use neural networks for approximately solving the MiniSum problem, a classic facility location problem. For this we first create a set of realistic MiniSum instances, based on the Bulgarian road network. Two standard neural network approaches – Hopfield networks and Boltzmann machines, are then applied to the instances. Since the quality of solutions is not satisfactory, the reasons for the poor performance are discussed. An improved neural network approach is then proposed. This approach has excellent performance on the MiniSum instances. It always finds solutions just several percent worse than the optimum, and is often able to find the exact optimum.
The effect of three-dimensional nursing management on the respiratory exercise compliance and nursing efficiency in post-thoracotomy patients with acute pulmonary embolisms.

Objective: To study the effect of the three-dimensional nursing management mode on compliance with respiratory function exercises and on the nursing efficiency in post-thoracotomy, acute pulmonary embolism (PE) patients. Methods: A cohort of 20 post-thoracotomy patients with acute PE were equally and randomly divided into two groups. The patients in the experimental group underwent the three-dimensional nursing management mode, and the patients in the control group underwent ordinary nursing. The compliance with respiratory function exercises during the hospital stay and within 3 months after discharge was observed, and the efficiency of the three-dimensional nursing management mode was determined according to the patient recovery. Results: The overall recovery effect in the experimental group was good, the respiratory function exercise effect was significant, and just one patient still had dyspnea after one week of nursing. There were 5 patients with chest tightness and chest pain and 7 patients with dyspnea in the control group. One patient died after a recurrence of the disease (P < 0.05). The total nursing efficiency was 90% in the experimental group and 30% in the control group (P < 0.05). Three months after discharge, the patients in the two groups were followed up, and a survey was conducted. In the experimental group, 14 patients and their families were very satisfied with the nursing. In the control group, 2 patients and their families were dissatisfied with the nursing, and the difference was statistically significant (P < 0.05). Conclusions: Three-dimensional nursing management with post-thoracotomy, acute pulmonary embolism patients contributes to improving the patients’ compliance with respiratory function exercises and to the nursing efficiency. It can greatly improve the nursing efficiency, relieve patients’ post-surgical pain, and can promote the formation of a good doctor-patient relationship to a certain extent.
Font Style that Fits an Image -- Font Generation Based on Image Context

When fonts are used on documents, they are intentionally selected by designers. For example, when designing a book cover, the typography of the text is an important factor in the overall feel of the book. In addition, it needs to be an appropriate font for the rest of the book cover. Thus, we propose a method of generating a book title image based on its context within a book cover. We propose an end-to-end neural network that inputs the book cover, a target location mask, and a desired book title and outputs stylized text suitable for the cover. The proposed network uses a combination of a multi-input encoder-decoder, a text skeleton prediction network, a perception network, and an adversarial discriminator. We demonstrate that the proposed method can effectively produce desirable and appropriate book cover text through quantitative and qualitative results.
Application System Software Engineering Technology and Process Based on Information Service Platform

In China, software engineering is introduced into the design of imperfect modern information system to make the designed modern information system meet the requirements of sustainable development of different types of enterprises. Based on this, this paper studies the application system software engineering technology and process based on information service platform. This paper first summarizes the basic principles of modern information system software design, and expounds the drawbacks in the process of modern information system development. Then, this paper gives the software requirements in the process of system construction, and designs the optimization strategy of application software engineering in modern information system. The web application engineering process model and development process method proposed in this paper are suitable for the development of general object-oriented software system. This will greatly promote the engineering, standardization and efficient development of web system. It realizes the smooth transition of web application development from design to implementation and improves the reusability of application. This paper provides the basis and reference for the development of high-quality web applications.
Correlated Adversarial Joint Discrepancy Adaptation Network

Domain adaptation aims to mitigate the domain shift problem when transferring knowledge from one domain into another similar but different domain. However, most existing works rely on extracting marginal features without considering class labels. Moreover, some methods name their model as so-called unsupervised domain adaptation while tuning the parameters using the target domain label. To address these issues, we propose a novel approach called correlated adversarial joint discrepancy adaptation network (CAJNet), which minimizes the joint discrepancy of two domains and achieves competitive performance with tuning parameters using the correlated label. By training the joint features, we can align the marginal and conditional distributions between the two domains. In addition, we introduce a probability-based top-$\mathcal{K}$ correlated label ($\mathcal{K}$-label), which is a powerful indicator of the target domain and effective metric to tune parameters to aid predictions. Extensive experiments on benchmark datasets demonstrate significant improvements in classification accuracy over the state of the art.
Constraint-Based Bayesian Network Structure Learning using Uncertain Experts’ Knowledge

Exploiting experts' knowledge can significantly increase the quality of the Bayesian network (BN) structures produced by learning algorithms. However, in practice, experts may not be 100% confident about the opinions they provide. Worst, the latter can also be conflicting. Including such specific knowledge in learning algorithms is therefore complex. In the literature, there exist a few score-based algorithms that can exploit both data and the knowledge about the existence/absence of arcs in the BN. But, as far as we know, no constraint-based learning algorithm is capable of exploiting such knowledge. In this paper, we fill this gap by introducing the mathematical foundations for new independence tests including this kind of information. We provide a new constraint-based algorithm relying on these tests as well as experiments that highlight the robustness of our method and its benefits compared to other constraint-based learning algorithms.
STUDENTS’ PERCEPTION IN WRITING DESCRIPTIVE TEXT

In this study, the researcher used qualitative research method to find out students’ perception in writing descriptive text. The subjects of this research were the 25 students in SMPN 32 Bandung. They were 13 boys and 12 girls. To collect the data, the researcher used pre-test, post-test that given after the students had got the treatment and also questionnaire. The result of the study showed the highest score for pre-test was 84, the lowest score was 16, and the mean score was 43.2. The data showed that the students’ score still low. And the highest score for post-test was 90, the lowest score was 40, and the mean score was 68.8. It means that students improved their ability after the treatment given, and their perception in writing descriptive text was found. But the researcher indicates that the students were still in low level or their ability in writing descriptive text was still weak. Keywords: Students’ Perception, Writing, Descriptive Text