Reviewerly/exHarmony huggingface dataset:
The quest for palaeolithic art in the Neris river valley, Central-Eastern Lithuania

Only a few artifacts discovered in Lithuania can be considered as examples of portable art from the Final Palaeolithic period. Three of them were found in the Neris river valley in central-eastern Lithuania: an engraved slate pebble from the Eiguliai 1А site, a notched blade from the Skaruliai 1 site, and a flint “figurine” from the Vilnius 1 site. Discovered by Rimutė Rimantienė and her father Konstantinas Jablonskis, these three finds were the first and for many years the only artifacts underpinning the discussion of art from the Lithuanian Final Palaeolithic. The debate on the tentative function of these items, initiated by Rimantienė, is reviewed in this study before presenting the results of the latest research on the subject between 2012 and 2017, carried out using a range of methods: visual examination, comparative analysis with other archaeological finds and reconstructed prehistoric tools, surface analysis under a microscope. The functional interpretation proposed as a result of these investigations in two cases disproves the identification of these artifacts as portable art.
Development Of Ict- Based Early Childhood Concept Teaching Book To Increase Pedagogic Competence For College Students Of Pgpaud (Peer Review)

Pedagogic competence should be mastered by candidate for early childhood education teachers/ PAUD, one way by mastering the basic concepts of early childhood education. In fact, based on the needs analysis of the 79 college students of PAUD showed that students need the teaching books of the funda�mental concept of ICT-based PAUD with free access, in Indonesian language , discussion per matter, equipped with text and images, references updates, written by authors who are competent in their felds so it is easy to be used by students. Such gap should be immediately resolved, so the research aims to develop teaching book of ICT-based on the basic concepts of PAUD in enhanc�ing the pedagogic competence of college students. The method that Research and Development uses with Dick and Carey design. This research sample is the student of PGPAUD UNSRI as many as 74 students. Implementation step in small group of 23 students, and a large group of 51 students. Based on the data analysis test results, the ICT-based KDPAUD teaching book application that have been developed proved to be valid, practical and effective. The re�sults proved that the application of the ICT-based KD PAUD teaching book that have been developed can increase the pedagogic competence of PGPAUD UNSRI students, so that candidate teachers are able to maximize learning to optimize children’s growth in early age. Keywords: teaching book application; Kdpaud; Pedagogic
An Enhanced Error Detection and Correction Scheme for Enterprise Resource Planning (ERP) Data Storage

In this research paper, a Redundant Residue Number System (n,k) code is introduced to enhance Cloud ERP Data storage. The research findings have been able to demonstrate the application of Redundant Residue Number System (RRNS) in the concept of Cloud ERP Data storage. The scheme contributed in addressing data loss challenges during data transmission. The proposed scheme also addressed and improved the probability of failure to access data compared to other existing systems. The proposed scheme adopted the concept of Homomorphic encryption and secret sharing whiles applying Redundant Residue Number System to detect and correct errors.The moduli set used is {2m, 2m + 1, 2m+1 - 1, 2m+1 + 1, 2m+1 + k, 22m - k, 22m + 1} where k is the number of the information moduli set used. The information moduli set is {2m, 2m + 1, 2m+1 - 1} and the redundant moduli is {2m+1 + 1, 2m+1 + k, 22m - k, 22m + 1}. The proposed scheme per the simulation results using python reveals that it performs far better in terms of data loss and failure to access data related concerns. The proposed scheme performed better between 41.2% for data loss to about 99% for data access based on the combination of (2, 4) and (2, 5) data shares respectively in a (k, n) settings.
English YouTube Hate Speech Corpus

We present an English YouTube dataset manually annotated for hate speech types and targets. The comments to be annotated were sampled from the English YouTube comments on videos about the Covid-19 pandemic in the period from January 2020 to May 2020. Two sets were annotated: a training set with 51,655 comments (IMSyPP_EN_YouTube_comments_train.csv) and two evaluation sets, one annotated in-context (IMSyPP_EN_YouTube_comments_evaluation_context.csv), another out-of-context (IMSyPP_EN_YouTube_comments_evaluation_no_context.csv), each based on the same 10,759 comments. The dataset was annotated by 10 annotators with most (99.9%) of the comments being annotated by two annotators. It was used to train a classification model for hate speech types detection that is publicly available at the following URL: https://huggingface.co/IMSyPP/hate_speech_en.The dataset consists of the following fields:Video_ID - YouTube ID of the video under which the comment was posted Comment_ID - YouTube ID of the commentText - text of the commentType - type of hate speechTarget - the target of hate speechAnnotator - code of the human annotator
A machine-learning approach to studying categorical versus continuous perception

Robust and efficient speech perception relies on the interpretation of acoustically-variable phoneme realizations. Some neuroimaging evidence supports a categorization account, in which speech-evoked patterns of brain activity are transformed into categorical representations. Other evidence supports a continuous account, in which subphonemic detail is maintained over time. However, it is not well understood if or how these patterns of brain activity undergo a continuous-to-categorical transformation, nor how task demands may modulate this process. My approach involves applying biologically- and psychologically-plausible linear classifiers to neural activity as measured by magnetoencephalography (MEG). Data came from adult participants who heard isolated, randomized tokens from a /ba/-/da/ speech continuum. In the passive task, their attention was directed elsewhere. In the active task, they categorized each token as “ba” or “da.” I find that classifiers successfully decode “ba” versus “da” perception from the MEG data. But do they perform like humans, with excellent sensitivity to between-category differences and poor sensitivity to within-category differences, or do they respect stimulus identity? And do passive versus active task demands affect these patterns of classifier performance? Given the wealth of information in the MEG signal, we can test these hypotheses over time and space, as perception unfolds across the brain.
교원성과급제의 패러독스: 초등학교 교사들의 인식을 중심으로

This study attempted to discern the perception of elementary school teachers regarding the operation of the Performance-Related Pay System in unit schools and to derive implications by exploring Paradox elements within the policy. To this end, in-depth interviews with five elementary school teachers were conducted and the study results were presented by applying the steps in the inductive analysis model. The elements of the Paradox of Performance-Related Pay System identified through the perception of elementary school teachers are as follows. First, it is a paradox of ‘competition to achieve organizational goals’ and ‘competition hindering the growth of teachers’. Second, it is a paradox of ‘equality with public officials’ and ‘specificity of education that is difficult to measure’. Third, it is a paradox of ‘compensation for performance differences’ and ‘salary increase based on work experience’. Fourth, it is a paradox of ‘evaluation that is fair to all’ and ‘evaluation considering individual characteristics’. The conclusions drawn from the study results are as follows. First, efforts should be made to improve the validity of the system by reorganizing the framework of teacher competency development evaluation so that teachers' work performance can be measured practically. Second, it is necessary to acknowledge the diversity of unit schools and try to expand the autonomy of the teacher Performance-Related Pay System that applies to the teacher cooperation paradigm. Third, it is necessary for teachers to voluntarily change their consciousness and to reflectively participate in the teacher Performance-Related Pay System.
Automated Selection of High-Quality Synthetic Images for Data-Driven Machine Learning: A Study on Traffic Signs.

The utilization of automatically generated image training data is a feasible way to enhance existing datasets, e.g., by strengthening underrepresented classes or by adding new lighting or weather conditions for more variety. Synthetic images can also be used to introduce entirely new classes to a given dataset. In order to maximize the positive effects of generated image data on classifier training and reduce the possible downsides of potentially problematic image samples, an automatic quality assessment of each generated image seems sensible for overall quality enhancement of the training set and, thus, of the resulting classifier. In this paper we extend our previous work on synthetic traffic sign images by assessing the quality of a fully generated dataset consisting of 215,000 traffic sign images using four different measures. According to each sample's quality, we successively reduce the size of our training set and evaluate the performance with SVM and CNN classifiers to verify the approach. The comparability of real-world and synthetic training data is investigated by contrasting several classifiers trained on generated data to our baseline w.r.t. actual misclassifications during testing.
LibGuides: A Guide for Children's Librarians: Home

This is a one-stop shop for Children's Librarians! Need ideas for programming? Early literacy best practices? Not sure if a book is age appropriate? Look no further!
Zero-Shot Cross-Lingual Machine Reading Comprehension via Inter-sentence Dependency Graph

We target the task of cross-lingual Machine Reading Comprehension (MRC) in the direct zero-shot setting, by incorporating syntactic features from Universal Dependencies (UD), and the key features we use are the syntactic relations within each sentence. While previous work has demonstrated effective syntax-guided MRC models, we propose to adopt the inter-sentence syntactic relations, in addition to the rudimentary intra-sentence relations, to further utilize the syntactic dependencies in the multi-sentence input of the MRC task. In our approach, we build the Inter-Sentence Dependency Graph (ISDG) connecting dependency trees to form global syntactic relations across sentences. We then propose the ISDG encoder that encodes the global dependency graph, addressing the inter-sentence relations via both one-hop and multi-hop dependency paths explicitly. Experiments on three multilingual MRC datasets (XQuAD, MLQA, TyDiQA-GoldP) show that our encoder that is only trained on English is able to improve the zero-shot performance on all 14 test sets covering 8 languages, with up to 3.8 F1 / 5.2 EM improvement on-average, and 5.2 F1 / 11.2 EM on certain languages. Further analysis shows the improvement can be attributed to the attention on the cross-linguistically consistent syntactic path. Our code is available at https://github.com/lxucs/multilingual-mrc-isdg.
An analysis of students' grammatical errors in translating sentences from Indonesian into English based on surface strategy taxonomy towards Standard Gandhi English Course students

This research aims to find out the type of grammatical errors frequently made by the students and to discover students’ problems in translating sentences from Indonesian into English. Moreover, this study used a descriptive qualitative study. In collecting the data, the researcher used students’ translations, open-ended questions, and interviews. The data were analyzed based on surface strategy taxonomy. They were classified into omission, addition, misformation, and misordering. The result of this study showed that misformation was the highest error that occurred in students’ translations. It was proven by the total number of errors made by 31 students are 445 items. Moreover, from 445 errors, the proportions of errors in their translations are omission error with 190 items (42.7%), addition error with 30 items (6.7%), misformation error with 197 items (44.3%), and misordering error with 28 items (6.3%). In addition, students’ problems in translating sentences are dominantly on grammar and vocabulary. In this case, by knowing the students’ grammatical errors and students’ problems,  the English teacher may use the information of students’ grammatical errors and their problems as guidance to evaluate the weaknesses or progress of the students’ ability in learning English, especially in their translations. Then, the students should practice English more in spoken or written form.
JAFOV Database on the WWW Service

The JAFOV is the database composing about 4, 500 descriptive data on the vertebrate fossil specimens deposited in Japan. It has been constructed since 1982, and stored at Kyoto University Data Processing Center, Kyoto, Japan, as an on-line database using a mainframe computer. It is, however, not easy to use and difficult to serve images in this system. So we tried to apply the WWW technique to improve those problems. The WWW is well known as a veiy functional way to serve various kinds of multimedia information on the Internet and as providing excellent user interface. In this study, we developed a prototype of new JAFOV service system using WWW technique for serving it on the Internet. Consequently, we confirmed that the new system is suitable for serving such kind of database as JAFOV.
[총설] 한국사 연구의 신경향과 패러다임 전환을 위한 제언

This article examines the research trends in the field of pre-modern Korean history between 2019 and 2020. I identified new trends in research and made some suggestions for a paradigm shift in research. There have been many concerns that discussions on the new historical perception theory have been sluggish. However it was notable that criticism and reflection on the old theory of the immanent development began more than 20 years ago, and findings of empirical researches have accumulated considerably. In order to establish a new theory of historical perception, the entire academic world must strive to systematize distributed research results. To this end, it is necessary to organize a research group encompassing researchers from Korean history and from Eastern and Western histories to maintain a syntactic position and promote research on comparative history. In addition, it is necessary to define terms and concepts strictly through the methodology of conceptual history and to have a theoretical system by accepting social science theory. Based on these efforts, it is necessary to establish a theory of historical perception that encompasses the flow of history at multi-layered units including individual countries. Of course, it is necessary to investigate what kind of inequality that the world historical flow causes in individual countries or their internal constituent groups. In this respect, it is necessary to consider seriously the problem of consciousness of ‘glocal history’ in the search for alternatives to the theory of the immanent development.
Privacy-Preserving for Multi-Party Data Analysis using Multi Key Encryption

We propose a new multiparty query framework in this paper to address multiparty data analysis data privacy issues.Therefore, for those private and sensitive data, it will inevitably face the risk of data leakage. It tackles the problem of extracting disclosure of sensitive information for valuable information.  The detailed description of the proposed framework and the proper example of the underlying protocols confirm that all participating organizations can recognize their multiparty skyline objects without disclosing data objects to others. The data protection and security analyses show that the framework satisfies the privacy requirements. A comprehensive performance evaluation also demonstrates the effectiveness of the proposed framework for real-world deployment. By avoiding'safe integer comparison' and instead employing 'domain comparison' encryption within our SDC protocol, our proposed framework is significantly more effective and secure.
Urban Traffic Surveillance (UTS): A fully probabilistic 3D tracking approach based on 2D detections.

Urban Traffic Surveillance (UTS) is a surveillance system based on a monocular and calibrated video camera that detects vehicles in an urban traffic scenario with dense traffic on multiple lanes and vehicles performing sharp turning maneuvers. UTS then tracks the vehicles using a 3D bounding box representation and a physically reasonable 3D motion model relying on an unscented Kalman filter based approach. Since UTS recovers positions, shape and motion information in a three-dimensional world coordinate system, it can be employed to recognize diverse traffic violations or to supply intelligent vehicles with valuable traffic information. We build on YOLOv3 as a detector yielding 2D bounding boxes and class labels for each vehicle. A 2D detector renders our system much more independent to different camera perspectives as a variety of labeled training data is available. This allows for a good generalization while also being more hardware efficient. The task of 3D tracking based on 2D detections is supported by integrating class specific prior knowledge about the vehicle shape. We quantitatively evaluate UTS using self generated synthetic data and ground truth from the CARLA simulator, due to the non-existence of datasets with an urban vehicle surveillance setting and labeled 3D bounding boxes. Additionally, we give a qualitative impression of how UTS performs on real-world data. Our implementation is capable of operating in real time on a reasonably modern workstation. To the best of our knowledge, UTS is to date the only 3D vehicle tracking system in a surveillance scenario (static camera observing moving targets).
Development Of E-Magazine Materials for Disaster Mitigation Outbreak to Increase Preparedness of High School Students

Indonesia is located in the Pacific Ring of Fire , which is often hit by natural disasters. The potential for co-occurrence with other natural disasters can exacerbate human losses and cause chaos. After the occurrence of natural disasters, in addition to causing many casualties and damage to infrastructure, the threat of health risks becomes a serious problem. Especially the emergence of infectious diseases. The number of fatalities indicates that community preparedness and mitigation against disasters are still poor. Disaster mitigation is the knowledge that students must have to have good preparedness behavior. Education related to disasters is usually based on theoretical knowledge so that it becomes less meaningful for students. For this reason, it is necessary to make efforts to increase the value of student preparedness with interesting learning media, one of which is by developing an  e-magazine  of disease outbreak disaster mitigation materials to improve student preparedness. Based on the results of observations in one high school in Bogor City, it was found that the level of student preparedness was still relatively low at 42%. This study aims to determine the effect of  e-magazines  on disease outbreak disaster mitigation materials on increasing student preparedness, as well as to determine the effectiveness of  e-magazines  on disease outbreak disaster mitigation materials. The study was conducted using the Research and development method using the ADDIE model ( analyze, design, development, implementation, evaluation ). The population in this study were students of class X MIPA with a sample of 30 respondents. The results showed that the  e-magazine was  able to increase the student's preparedness score to 69.67% which was in the medium category. The effectiveness of learning media can be seen from the responses of students and teachers. The percentage of the average value of student responses is 89.5% with a very effective category. Based on the results of the teacher's response questionnaire, the percentage was 84.17% with a very effective category.
Dynamics of Forms of Treatment in Portuguese Spoken in Angola

This research, whose title focuses on the "Dynamics of forms of treatment in the Portuguese spoken in Angola" aims to (i) describe the phenomenon of alternation of forms of treatment, precisely in the employees of the Municipal Administration of Luanda and the Provincial Office of Education of Malanje; (ii) to characterize the main cases of functional opposition of the forms of treatment in the municipal administration of Luanda and in the Provincial Office of Education of Malanje; (iii) contribute to the knowledge and understanding of the forms of treatment of Portuguese broadcast in Angola.For the implementation of the research, an oral and written corpus was used, the sources of which are the statements extracted from the interviews and questionnaires applied to the employees of the Municipal Administration of Luanda and the Provincial Office of Education of Malanje.For the treatment of the data, I proceeded to the comparative analysis of the forms of treatment used in the different contexts (proximity vs. distancing) between the speakers, with the intention of understanding the significant difference in the scope of their placement.I also realized that the dynamics of the forms of treatment in the institutions under this provide the possibility of their employment, implying several sociolinguistic factors, with an enhancement to the social hierarchy, formality vs. informality, education, age, etc.Thus, it seems to me that the use of forms of treatment is complex, because the sensitivity of the speakers of the two cities, with regard to the use of the forms of treatment is visibly diverse and, it is denoted, ignorance about the correct use of them.The results show that languages are dynamic and non-static systems and that the Portuguese language has its own particularities in the different national norms.
Research on Multi-sensor Path Planning Based on Corridor Environment

Abstract Aiming at the problems of traditional A* algorithm with many inflection points, large turning angles and not adapting to dynamic environment, the current optimized A* algorithm is analyzed and researched. Designed and built a wheeled robot platform with 4WD trolley as the carrier, single-line lidar Rplidar_A3, depth camera Kinect V2 and ultrasonic sensor TeraRanger one as environmental detection sensors. The platform conducted simulation research on the three optimized A* algorithms in the indoor corridor environment, compared the pros and cons of the planned paths, and set up path planning experiments based on the static network improved A* algorithm and dynamic obstacles and static Obstacle avoidance experiment. Experiments prove that the trajectory planned by the improved A* algorithm based on the static network contains 7 inflection points, which is relatively smooth, takes 49.8s and can effectively avoid dynamic and static obstacles.