Reviewerly/exHarmony huggingface dataset:
Towards a Comprehensive Assessment of the Quality and Richness of the Europeana Metadata of food-related Images

Semantic enrichment of historical images to build interactive AI systems for the Digital Humanities domain has recently gained significant attention. However, before implementing any semantic enrichment tool for building AI systems, it is also crucial to analyse the quality and richness of the existing datasets and understand the areas where semantic enrichment is most required. Here, we propose an approach to conducting a preliminary analysis of selected historical images from the Europeana platform using existing linked data quality assessment tools. The analysis targets food images by collecting metadata provided from curators such as Galleries, Libraries, Archives and Museums (GLAMs) and cultural aggregators such as Europeana. We identified metrics to evaluate the quality of the metadata associated with food-related images which are harvested from the Europeana platform. In this paper, we present the food-image dataset, the associated metadata and our proposed method for the assessment. The results of our assessment will be used to guide the current effort to semantically enrich the images and build high-quality metadata using Computer Vision.
Bayes Theorem Application for Assessing the Value of Individual Risk due to Rock Fall in Coal Mines

The data on fatality caused by rock fall in the country's coal mines during 2006-2017, and the values of individual risk at individual industrial facilities are presented. A mathematical model based on the Bayes theorem for estimating the value of fatality individual risk for workers of coal mines is provided. A classification for value of workers fatality individual risk in accordance with the frequency of rock fall in coal mines has been presented.
Some exact results for the statistical physics problem of high-dimensional linear regression

High-dimensional linear regression have become recently a subject of many investigations which use statistical physics. The main bulk of this work relies on powerful approximation techniques but also a more rigorous approaches are becoming a more prominent. Considering Bayesian setting, we derive a number of exact results for the inference and related statistical physics problems of the linear regression.
The rupture process of the Peru intermediate and deep earthquakes

&amp;lt;p&amp;gt;The seismicity of Peru is associated with the subduction process of the Nazca plate under South America and characterized by the occurrence of shallow, intermediate and deep earthquakes. In this study, we focus our attention on the rupture process of earthquakes (Mw&amp;gt;6.0 ) that occurred during the period 2018-2019 at intermediate depth (50&amp;lt;h&amp;lt;200 km) and deep depth (500&amp;lt;h&amp;lt;700 km). Focal mechanisms have been estimated from slip inversion of body waves at teleseismic distances (Kikuchi and Kanamori, 1991). We investigate possible differences in the moment rate functions at different focal depths using our results and those provided by SCARDEC database. Furthermore, an estimation of the radiated seismic energy (E&amp;lt;sub&amp;gt;R&amp;lt;/sub&amp;gt;) was provided from the direct integration of the velocity P wave recorded at teleseismic and regional distances, getting values between 10&amp;lt;sup&amp;gt;15 &amp;lt;/sup&amp;gt;to 10&amp;lt;sup&amp;gt;16&amp;lt;/sup&amp;gt; J. The data were corrected by geometrical spreading, anelastic attenuation, and free surface effect. These results are interpreted in terms of the seismotectonics of the region&amp;lt;/p&amp;gt;
Toward Ordering the Set of Modifications to Solve a Maintenance Request

In this paper we set out the idea that the text plain nature of the software source code, as we know it today, is a strong obstacle for an effective maintenance. The reason is that all the software artifact elements, from the most complex to the simplest, are immediately available to the maintenance programmer. Such ease is deceitful since it allows the maintenance programmer to modify any component in any order. However, maintenance in any engineering field is inside-out intrinsically, and such essential characteristic should also be held in software maintenance. The maintenance scenario suggested here restricts modifications by the maintenance programmer and drives her to implement them following an order.
SAR Image Target Recognition based on Sparse Representation and Cascade Dictionary

It is necessary to recognize the target in the situation of military battlefield monitoring and civilian real-time monitoring. In this paper, a method based on sparse representation and cascade dictionary is presented for SAR image target recognition. The proposed method extracts the generalized two-dimensional principal component analyze features of the training samples to construct sub dictionaries, each sub dictionary can be considered a binary classifier, all the sub dictionaries in sequence arrangement to form a strong cascade classifier. Sparse representation coefficients of the testing samples over the sub dictionaries are computed with the orthogonal matching tracking algorithm. Recognition is realized according to reconstruction error. The experimental results suggest that the new approach can generate ensembles that outperform traditional classifiers and the other sparse representation classifiers which dictionary directly constructed by all training samples or all training samples' feature information in terms of recognition accuracy and recognition time.
AQuA: An Adversarially Authored Question-Answer Dataset for Common Sense

Commonsense reasoning is a critical AI capability, but it is difficult to construct challenging datasets that test common sense. Recent neural question answering systems, based on large pre-trained models of language, have already achieved near-human-level performance on commonsense knowledge benchmarks. These systems do not possess human-level common sense, but are able to exploit limitations of the datasets to achieve human-level scores. We introduce the CODAH dataset, an adversarially-constructed evaluation dataset for testing common sense. CODAH forms a challenging extension to the recently-proposed SWAG dataset, which tests commonsense knowledge using sentence-completion questions that describe situations observed in video. To produce a more difficult dataset, we introduce a novel procedure for question acquisition in which workers author questions designed to target weaknesses of state-of-the-art neural question answering systems. Workers are rewarded for submissions that models fail to answer correctly both before and after fine-tuning (in cross-validation). We create 2.8k questions via this procedure and evaluate the performance of multiple state-of-the-art question answering systems on our dataset. We observe a significant gap between human performance, which is 95.3%, and the performance of the best baseline accuracy of 67.5% by the BERT-Large model.
THE EFFECT OF MIND MAPPING TECHNIQUE IN STUDENTS’ WRITING SKILLS OF NARRATIVE TEXT AT SECOND GRADE OF SMA SWASTA GKPI PADANG BULAN MEDAN

Writing is the most basic skill after reading. Writing can also express our ideas. What is in our brain, we can express it through writing. Human have 2 brains including, the right and left brains. The capacity of every human brain is very different. Some have hobbies such as drawing, singing, calculating and writing poetry. This research we conducted at SMA GKPI Padang Bulan  used mind mapping technique for students by writing narrative text. Where we only took 2 classes, including class XI IPA1 and XI IPA 2. This research aims to find several kinds of weaknesses in writing narrative text. Which method used in this research is quantitative data, instrument collecting data is an essay test which consists of 3 question. The researcher took the subject is a grade 11 students on the GKPI Padang Bulan private high school which consist of 27 students .
Planning to provide clean water in pondok Tahfidz Quran Al Fitrah

The need for clean water for human life is a primary need. Humans will not be able to live healthy without clean water, because the human body really needs water, the water content in the human body is not less than 70% of body weight (adults). Water serves to transport minerals, vitamins, proteins and other nutrients throughout the body. Body temperature balance will greatly depend on water, because water is a lubricant of the body's tissues as well as pads of joints, bones, and muscles. Once the importance of water for human survival so that the availability and sustainability of water for living things must be maintained. Islamic boarding schools are religious-based educational facilities whose management is still constrained by funding problems. So the facilities are always in a limited state. As is the case with the Quran Al-Fitrah tahfidz Islamic boarding school, which is located in Namo Rambe, which has difficulty in providing clean water to be drunk at the boarding school. This is what USU's dedication team tried to find a solution for, namely by making a filtering facility for clean water from springs to be made ready for drinking wells to be used by partner communities.
Identification of utility images on a mobile device

Mobile phones are used ubiquitously to capture all kinds of images &#x2013; food, travel, friends, family, receipts, documents, grocery products and many more. Often times when looking back on photos to relive memories, we want to see images that actually represent experiences and not quick convenience photos that were taken for note-keeping and not deleted. Thus, we need to have a solution that presents only the relevant pictures without showing images of receipts, grocery products etc. &#x2013; termed in general as utility images. This is in the context of a photobook which compiles and shows relevant images from the photo album of a mobile device. Further, all this has to be done on a mobile device since all the media resides there &#x2013; introducing the need for our system to work on low power devices. In this paper, we present a work that can distinguish between utility and non-utility images. We also present a dataset of utility images and non-utility images with images for each category mentioned. Furthermore, we present a comparison between accuracies of popular pre-trained neural networks and show the trade-off between size and accuracy.
Teaching Research and Practice of Database Course

This paper analyzes the problems existing in the traditional education of the database course, introduces the research objectives and research contents of the database course. It discusses the teaching training, the optimization of the teaching contents, the reform of the teaching methods and the network teaching. Finally it analyzes the innovation points of the course research, and points out the areas to be improved.
Addressing Cha(lle)nges in Long-Term Archiving of Large Corpora

This paper addresses long-term archival for large corpora. Three aspects specific to language resources are focused, namely (1) the removal of resources for legal reasons, (2) versioning of (unchanged) objects in constantly growing resources, especially where objects can be part of multiple releases but also part of different collections, and (3) the conversion of data to new formats for digital preservation. It is motivated why language resources may have to be changed, and why formats may need to be converted. As a solution, the use of an intermediate proxy object called a signpost is suggested. The approach will be exemplified with respect to the corpora of the Leibniz Institute for the German Language in Mannheim, namely the German Reference Corpus (DeReKo) and the Archive for Spoken German (AGD).
ВЗАИМОКОНТРОЛЬ КАК СРЕДСТВО ФОРМИРОВАНИЯ ПРОФЕССИОНАЛЬНОЙ КОМПЕТЕНТНОСТИ УЧИТЕЛЯ ИНОСТРАННОГО ЯЗЫКА

Marina A. Lubyanova (Rostov-on-Don, Russian Federation)Under the contemporary conditions the competence of young a specialist is inseparably connected with the skill to convert theoretical knowledge into the practical professional activity. Achievement of this high level of competence requires that the higher school should create special conditions for expanding the possibility of training the future specialists just during the classes.The solution of this problem with the instruction of the intended teachers of a foreign language we see in the so called «teacher-training approach», with which the students obtain the additional possibility of the complex realization of linguistic, psychological and pedagogical knowledge and skills in practice in the process of peer instruction and peer control under the management of the lecturer. Our practice in applying this technology has showed its effectiveness, and also it made it possible to reveal some shortages and to formulate the ways of their overcoming.Key words:  competence of a specialist, expertise, teacher-training approach, peer coaching, peer control.DOI 10.23683/1995-0640-2019-4-171-181
A multi-lingual and cross-domain analysis of features for text simplification

In text simplification and readability research, several features have been proposed to estimate or simplify a complex text, e.g., readability scores, sentence length, or proportion of POS tags. These features are however mainly developed for English. In this paper, we investigate their relevance for Czech, German, English, Spanish, and Italian text simplification corpora. Our multi-lingual and multi-domain corpus analysis shows that the relevance of different features for text simplification is different per corpora, language, and domain. For example, the relevance of the lexical complexity is different across all languages, the BLEU score across all domains, and 14 features within the web domain corpora. Overall, the negative statistical tests regarding the other features across and within domains and languages lead to the assumption that text simplification models may be transferable between different domains or different languages.
‘Shake It Up’ as Android Mobile Learning Application based on Earthquake Mitigation for Junior High School Students

Indonesia is situated in a geologically unstable area called the Pacific Ring of Fire which faces the risk of powerful earthquakes with potentially devastating effects.The most effective measure to be taken against earthquake and other natural disaster is knowing what to do when it happens.This issue intended the researcher to build a mobile learning application for earthquake mitigation using game-engine software called Unity The subject was 30 students of Junior High School in Bandung and one science teacher.The experts have evaluated content, language, and artwork in the mobile learning application.The findings indicate that from every aspect, the general mobile learning application based on Earthquake Mitigation is received very positive feedback.For its implementation, students and science educators are immensely welcomed.
PENINGKATAN HASIL BELAJAR MAHASISWA MELALUI METODE TUTOR SEBAYA PADA PEMBELAJARAN MATEMATIKA II

This background of research was the low learning outcomes of the middle of Semester in the Mathematics Learning II exam. The purpose of this study was to describe student learning outcomes during the application of peer tutoring methods in Mathematics Learning II lectures. This study is a Classroom Action Research consisting of 2 cycles. The subjects of this study were students of class IVb of the Bung Hatta University Primary School Teacher Education Study Program, amounting to 21 people. The research instruments are lecturer performance appraisal sheets, and learning outcomes tests. Student learning outcomes have increased from 60.50% in the first cycle to 78.90% in the second cycle. Based on the results of this study, it can be concluded that the peer tutoring method can improve the learning outcomes of PGSD students.
Problematika Pembelajaran Membaca dan Menulis di Sekolah Dasar

Reading and writing is one of the most important activities in learning and can be said all the learning process on the ability to read and write. This phenomenon can happen during this time, be parents more able to be able to read even before entering primary school. The ability to read and write, still active at the preoperational stage (2 - 6 years). Stages of the development of reading and writing ability that can be controlled by children aged 2-6 years. Children need to be trained with. To overcome the difficulty of reading can be done various kinds of things in accordance with factors that affect these students who have difficulty reading. In particular to overcome this, in schools teachers who also act as a facilitator can do coaching to students who have difficulty reading. Keywords : Reading, Writing, Problematic, Learning, Primary School
Learning complex scattering media for optical encryption: publisher’s note

This publisher’s note contains corrections to Opt. Lett. 45 , 5279 ( 2020 ) OPLEDP 0146-9592 10.1364/OL.400174 .
PERAN DAN KONTRIBUSI PUSTAKAWAN SEBAGAI MITRA RISET

This paper tries to explore the contribution and experience as a librarian to conduct research in various countries with different themes. The purpose of this study was to determine the ability and professionalism of librarians as research partners in helping researchers conduct research. The methodology used in this research is descriptive analysis which takes two locations (countries) where the research is Japan and the Netherlands. The Sources of data used as population and object of research are the results of interviews, observations and sources of references from the results of searching for library information used by researchers. The results of this study are to provide an overview of the ability of librarians to search for information to know and find sources of information in various media both books, scientific journals, and other online media that support lecturer research as research partners who are needed. The practice of collaborating with librarians in certain fields will demonstrate the competence and role of librarians who are very strategic in the success of a research program. Equally important is the recognition of research partners and the contribution of librarians to a study. Research collaboration between lecturers and librarians as research partners will increase the number of research publications in journals of national and international repute and good communication between lecturers and librarians.
DESIGN OF WEB MOBILE ACCADEMIC INFORMATION SYSTEM IN MTS ISLAMIYAH SCHOOL SUKOHARJO

technology. At present, the Mts Islamiyah Sukoharjo School is delivering information to the general public which is still relatively simple, namely through the distribution of brochures and the installation of banners in various places. The purpose of this study is to design a mobile web-based academic information system at Sukoharjo Mts Islamiyah school using a Content Management System. In this study, it shows that the use of a website-based information system can be a publication revolution in opening up a wider range of school information to convey various types of information about the Sukoharjo Mts Islamiyah school.
Studi komparasi model mind mapping dan think pair share terhadap keterampilan berpikir kreatif ditinjau dari minat membaca siswa kelas IV sekolah dasar

The purpose of this research is knowing the differences between (1) Mind Mapping learning model and Think Pair Share learning model toward student creative thinking skill, (2) reading interest effect of high and low groups towards students creative thinking skills, and (3) interaction effect of learning models and reading interest towards student creative thinking skill. The population was fourth grade’s students at elementary school in Puncu Region. The samples had chosen through Cluster Random Sampling and there are two schools that researcher had chosen, they are SD N Gadungan 2 and SD N Gadungan 5. This research used experimental method and the data were analyzed with Two Way Anova Test using SPSS 16.0 programme. The data were taken from the result of creative thinking skill esay tests and student’s reading interest questionnaire. The result showed that, first there was differences between Mind Mapping and Think Pair Share learning model towards students creative thinking skill (Sig. = 0,00 α = 0,05).
Grappling with Diversity in Research Through Design

Since its introduction, Research through Design (RtD) has taken on a wide variety of forms.Currently, there is a lack of clarity about what connects and separates different RtD approaches.Several attempts have been made to clarify these matters, often in the form of a top-down categorization.Here we start on a different path, one that is open for different points of view and grounded in the ongoing concerns and needs of RtD practitioners.Over two months, we engaged a local research community in weekly discussions about RtD in their work.Thoughts and questions were posted on a dedicated wall-space, maintained, and clustered over the weeks.As a result, we identified 11 themes that indicate concerns among participants about RtD.We suggest the themes can help in articulating different RtD 'styles' and 'genres', and believe this should be a collaborative and bottom-up effort that crosses disciplinary and institutional boundaries.
Research and Analysis on Key Technologies of Cloud Computing Platform Based on IPv6

According to the current development situation, cloud computing technology will still have great development and progress space in the future, which will also further enhance the overall demand for IPv6 address resources. At the same time, users on this basis will gradually become IPv6 network users, but the previous use of IPv4 and IPv6 cannot be directly interoperable, so it will inevitably narrow its audience. In addition, the limitation of the number of IP addresses themselves and the problem of internal and external network transformation will also reduce the overall computing power of cloud computing platform. Based on this, this paper starts with the analysis of the structure and key technologies of cloud computing platform under the requirements of IPv6, and puts forward corresponding strategies on how to build a new cloud computing platform under IPv6.
З болем і надією на ренесанс української освіти. Інтерв'ю Всеукраїнському науково-практичному журналу "Директор школи, ліцею, гімназії"

In recent years, speeches and publications of journalists and politicians, educators and psychologists, and all kinds of experts, have raised the issue of education. It is quite obvious that this is not some coincidence or another intellectual fashion, fertilized by political expediency. This is followed by the objective tendencies of the world process, which require radical changes in education in the context of exponential technologies. The vast majority of domestic and foreign scientists say that the current education system does not meet the requirements of the time. They are criticized and modeled on a new image that is more relevant to the current socio-cultural situation.
Aggregation Driven Progression System for GWAPs

As the uses of Games-With-A-Purpose (GWAPs) broadens, the systems that incorporate its usages have expanded in complexity. The types of annotations required within the NLP paradigm set such an example, where tasks can involve varying complexity of annotations. Assigning more complex tasks to more skilled players through a progression mechanism can achieve higher accuracy in the collected data while acting as a motivating factor that rewards the more skilled players. In this paper, we present the progression technique implemented in Wormingo , an NLP GWAP that currently includes two layers of task complexity. For the experiment, we have implemented four different progression scenarios on 192 players and compared the accuracy and engagement achieved with each scenario.