Reviewerly/exHarmony huggingface dataset:
La mia città [My city]: a board game for learning Italian as foreign language

This paper shows the results of an action-research regarding a ludic approach to the didactics of Italian as a second language, by taking into account the needs of adult students with low levels of alphabetization in their mother tongue. It had been developed and proposed to the students the table-top boardgame La mia citta [My city]. The game aims to help with reviewing and systematizing the lexical and grammatical information presented during a previous lecture and practising the four lan-guage skills. The results of the playtest a showed a good level of appreciation by the students and a very good engagement level.
Студенческие учебные практики в первые десятилетия кафедры экономической географии СССР географического факультета МГУ

Educational practices are an integral part of training, which get the students directly acquainted with various regions of the country, different forms of economic activities and life of the population. Basing on the publications of the mid 20th century and the interviews with spectators of the time, the study shows that traditional forms of practical training at the Department of Economic and Social Geography of Russia, which celebrated its 90th anniversary in 2019, appeared later than the department itself, and even after the faculty was established. In the pre-war period there was a student on-the-job training, usually in various expeditions, as well as a technological practical training. Educational practice (initially academic practical training) started up only in the post-war period; during its formative years it was organized as a stationkeeping one. Since the mid-1950s the practical training became a route one and two decades later transientfree field training was added to it.
Optimization of compact fuzzy controllers used for temperature regulation

This document shows the optimization of different configurations of a compact fuzzy controller for temperature regulation in a room; such configurations are established considering the analogy with different discrete linear controllers; the model is characterized by several heat transfer components. The results show that the optimization process allows adequate tuning of most of the fuzzy controllers. The initial configuration is relevant for the optimization of the controllers; finally, the best result is obtained with the configuration PID of the compact controller.
A Proposition of a Full-field Measurement Method Using Near-infrared Radiation and Its Application to an Observation the Anomalous Deformation Behavior on Sheet Specimen Made of SUS304

In a tensile test by using a thin sheet specimen made of SUS304, the propagation of X-shaped region with strain localization has been observed in a later stage of deformation. Some researchers have considered this behavior is caused by strengthening the region because of strain-induced martensitic transformation (SIMT). The deformation behavior of SUS304 can be observed easily by full-field measurement methods such as the DIC and ESPI by tracking speckle correlation patterns, however, pre-processings with some complicated techniques are required. In this study, a new full-field measurement method based on near-infrared radiation to the specimen from one direction is proposed. The anomalous deformation behavior is observed by using the proposed method during the tensile test of SUS304. As a result, irregularly-reflected infrared ray from the surface of the specimen is captured as a random pattern. For a comparison, the tensile tests of A5052 and SS400 are also carried out to observe the Portvin Le-Chatlier and Luder’s bands. At the same time, the anomalous deformation behavior can be directly observed by applying simple post-processing of the images without establishing speckle patterns as pre-processing.
Reconfigurable Application-Specific Photonic Integrated Circuits

Reconfigurable photonic integrated circuits are the first evolutionary step in programmable photonics. These are fundamentally application-specific circuits designed to carry a given functionality and that feature some degree of flexibility enabled by the possibility of tuning some of its internal parameters by means of appropriate control signals. Another distinctive feature of these circuits resides in the fixed nature of their physical topology and designs. There is a vast amount of reconfigurable integrated circuits reported in the literature. This chapter provides some representative examples for other functionalities, including filtering, RF phase shifting and time delay lines, beam formers, wave generators and other multi-functional application specific circuits. It prepares the reader to understand how these can be emulated with the more generic programmable photonic circuits discussed later in the book.
Developing a Fuzzy Feature-Based Online Bengali Handwritten Word Recognition System

This paper deals with the recognition of Bengali handwritten words in online where data are accumulated, while they are being created on a digitizing surface, i.e., PDAs. This work proposes a technique for recognizing Bengali words by taking into account of distinct writing forms. The system changes the input words to general form by fixing slantness, skewness, and other anomalies in preprocessing stage before recognition. A partitioning procedure is introduced here to separate each character from the words. An automatically generated fuzzy membership values are used to describe the handwritten Bengali words. The proposed approach recognizes characters using fuzzy features and merges them to get the desired the whole word. The experimental result shows that the proposed framework is successful in recognizing Bengali handwritten words with 80% accuracy with individual writing forms.
NCHLT isiNdebele Auxiliary Speech Corpus

The corpus contains orthographically transcribed broadband speech in each of South Africa's eleven official languages. Transcriptions are provided in XML format.
LibGuides: Early Childhood Reading Supports : Home

library guide designed to provide professional and accurate information about Early Childhood Reading Supports for parents, educators, and caregivers
Increasing research impact and visibility from day one: the benefits of Open Research for PhD students

Dr Marcello De Maria – who recently completed his PhD at the University and is now a postdoctoral researcher in the School of Agriculture, Policy and Development – highlights how using open practices during his PhD improved his research and supported his professional development. Open Access publications, Open Data, Open Source software and Open Research networks can be harnessed by PhD students and young researchers to build a competitive advantage from the very beginning of their careers.
DEVELOPMENT OF A MICROCONTROLLER LABORATORY TRAINER MODULE FOR ENGINEERING STUDENTS

The knowledge of microcontrollers to engineering students is essential since it will help them in the development of their prototypes for their design projects. The idea of this study was to develop a laboratory trainer board using the Arduino microcontroller kit. The developed laboratory trainer module covers sensors, motor, Bluetooth modules, switches, and displays. The laboratory module evaluation was assessed through the finished projects using the trainer module. Students were given a survey questionnaire after performing experiments. Based on the results, the microcontroller trainer module was essential in helping students learn hardware programming and microcontroller interfacing.
SISTEM INFORMASI ANALISIS PROFITABILITAS MENGGUNAKAN METODE GPM DAN NPM PADA TOKO SERBAMULIA

Serba Mulia Store is a store that sells invitations. Based on the writer's observation, the owner of Multifark Stores in the process of calculating the gross profit and net profit has not done a consistent calculation. The purpose of this research is to design an information system of profitability analysis by using method of gross profit margin and net profit margin at Serba Mulia shop. Research method that will be used to collect data, that is by way of interview to get information directly from Serba Mulia shop. Test method used is Black Box Testing Method. This research produces a program in the form of information system of profitablity analysis by using method of gross profit margin and net profit margin in order to assist Multipurpose Store in analyzing gross profit and earned profit accurately.
LibGuides: It's a Doggy World: Home

Hi everyone, wow this experience of creating a LibGuide has been so interesting and rewarding to me. I am an avid animal lover, and it saddens me to know how many animals that people have brought into their lives and then discovered how much work one take
Экстраполирующее обучение нейронных сетей

An approach for training neural networks is presented. The point is the knowledge contained in one network are used to generalize the input signals that are corresponded to classes what are unknown to it, in order to train them by another neural network with a simpler architecture. The paper observes the possibility of using the output signal of a trained handwriting recognition system on the images what are presented to it and which are absent in the original training set of symbols. This training process is performing in order to generalize and then extrapolate the reaction to the uniquely interpreted output of another system during its training to those unknown classes. Like a person in the process of studying what is able to perceive more and more complex concepts and learn new knowledge faster depending on already acquired information, as well as when learning new data – to keep in memory those that were obtained earlier, the approach allows us to use the result of input signal generalization from already trained system in the aim to perceive of new knowledge in a shorter time. Also it allows increasing the accuracy of the recognition process without a necessity to repeat the entire training cycle, and therefore – without changing the previously acquired knowledge in the net. The presented approach can be used to optimize the training process of recognition systems, increase the accuracy of already trained systems, and also to retrain or additional training them to new classes without the need to retrain the original training set.
Technique and audiovisual counterpoint in the Estuaries series

The author’s Estuaries series of audiovisual compositions (2016-19) draw together investigations into novel methods of abstract animation, generative music and audiovisual counterpoint. This chapter explains key aspects of some of these concerns and how they contribute to particular aesthetic qualities of the works. The animation technique was based on visualisation of Nelder-Mead search processes that seek the brightest or darkest points in a source image. This process can create unpredictable and complex textures and temporal behaviors that can seem perceptually unified and coherent due to the consistent shape and behavioral vocabulary of the algorithm. The music was created with the assistance of the author’s Nodewebba software, which implements his concept of variable-coupled iterated maps. Algorithmic integration of these two techniques, and mixing discrete events with articulation of continuums, helped to establish a hierarchically organized “fluid” audiovisual counterpoint. Given the limits of automated linking of visual and musical algorithms that are not perceptually informed, the author argues for an “audiovisualisation-assisted composition”, where generative audiovisual materials serve as a starting point from which an artist elaborates and edits heuristically.
Special Issue on Quantum Optics for Fundamental Quantum Mechanics

With the last turn of the century, physics has experienced the transition from the first to the second quantum revolution [...]
Handwritten digit classification using Convolutional Neural Networks

This research study throws light on one of the most common use-cases of Handwritten Digit recognition which can be seen being implemented by using a particular Deep Learning technique for pattern recognition known as Convolutional Neural Networks which works similarly to the functionality of neurons in a human brain. We have trained and tested the MNIST dataset using this technique and implemented a classifier to predict the pattern of the digits.
SES-RREF: The Machine Learning Approach to Credible Metrics of Scholastic Evidence via Recursive Referencing

Citation network analysis of scholarly articles and journals has already been explored in-depth and the subtlety of the differences between citations and references has also been recognized. Despite this recognition, citation network is mainly used for judging the contribution of an author or a journal for the scientific community. Analyzing citations of an article or of the journal to which it belongs, follows a bottom-up approach and provides a varying degree of information. These include the pattern of spread and the influence it has in academics, per se. However, analysis of references provides a top down approach. The present paper introduces the concept of reference network analysis with the objective of measuring the extent of scholarly inculcation of knowledge and effort while pursuing specific research work. Such reference networks can examine how variegated a research is (diversity) and intensity of the concepts studied (depth) by a researcher. We prove that both these aspects play crucial roles in generating recognition by not relying on citations explicitly. The paper uses these features to devise article-level and author-level metrics,like Scholastic Evidence Score and Trust Score. Using two different case studies of highly reputed scholars, we further demonstrate that Trust score of reputed and reliable authors do not fluctuate noticeably with time. On a broader spectrum, the durability of citation might reflect the depth of a scientific contribution. Our contribution imparts multi-dimensional approach to scholarly influence and creates avenues for future explorations in journal credibility study.
Terme-à-LLOD: Simplifying the Conversion and Hosting of Terminological Resources as Linked Data

In recent years, there has been increasing interest in publishing lexicographic and terminological resources as linked data. The benefit of using linked data technologies to publish terminologies is that terminologies can be linked to each other, thus creating a cloud of linked terminologies that cross domains, languages and that support advanced applications that do not work with single terminologies but can exploit multiple terminologies seamlessly. We present Terme-‘a-LLOD (TAL), a new paradigm for transforming and publishing terminologies as linked data which relies on a virtualization approach. The approach rests on a preconfigured virtual image of a server that can be downloaded and installed. We describe our approach to simplifying the transformation and hosting of terminological resources in the remainder of this paper. We provide a proof-of-concept for this paradigm showing how to apply it to the conversion of the well-known IATE terminology as well as to various smaller terminologies. Further, we discuss how the implementation of our paradigm can be integrated into existing NLP service infrastructures that rely on virtualization technology. While we apply this paradigm to the transformation and hosting of terminologies as linked data, the paradigm can be applied to any other resource format as well.
User requirements elicitation study for ALPHA network data provenance documentation browsing software

The ALPHA Network (Analysing Longitudinal Population-based HIV/AIDS data on Africa) is working on a project to produce a sharable set of harmonised data that combines both population-based and clinic data from the partner studies with funding from the Wellcome Trust. Whilst community-based cohorts and demographic surveillance systems provide a rich source of data, use of the data is often limited because successful analysis requires detailed knowledge of the study's contemporary and historical procedures and of data management practices. To date the ALPHA Network has successfully extracted and harmonised 10 standard data tables from the partner studies. However, these data are still complex and require considerable prior knowledge to use effectively, which in practice means the data can only be used in collaboration with one of the ALPHA staff. This data collection contains qualitative data collected as part of scoping work to establish domain experts’ perspectives on the functionality that a user-friendly metadata browser for ALPHA datasets should provide. It contains transcripts of 10 semi-structured Skype interviews conducted with individual researchers and data managers affiliated to the ALPHA network and the Cohort & Longitudinal Studies Enhancement Resources (CLOSER) project. Interviews explored proposed features of the metadata browser, including: provision for viewing all tasks performed in the process of creating a dataset, browsing the steps in each task, task purpose, related concepts, related code scripts, association between a sub-task and its input data and outputs and provision for viewing data structure.
Engaging with a CHI Paper Through Embodied Action: A Situated Analysis of "Design for Collaborative Survival"

As Michael Polanyi claims, "we know more than we can tell." As such, much of the author's tacit knowledge remains beyond the reader's grasp. However, by engaging with the text through embodied action, readers can gain their own tacit knowledge which may approximate or even expand upon the author's knowledge through the reader's own situated analysis. I present a situated analysis of a CHI paper, "Design for Collaborative Survival," to propose an embodied method of reading through situated action that enables communication and expansion of the knowledge beyond the text. I responded to each of the concepts in that paper in an active way to better approach the authors' tacit knowledge by developing my own. Through this activity I intend to stimulate discussion on how authors and readers can benefit from similar methods that take reading beyond the text.
Application of Learning by Teaching Method to Computer Education Learning Process

컴퓨팅 기술은 모든 분야에 다 적용가능하며 필요한 기술이기 때문에 대학에서의 컴퓨터교육은 전공과 무관하게 모두 다 배워야할 영역으로 그 필요성이 인지되고 있다. 컴퓨터를 처음 배우는 학생은 각자의 교육경험 차이로 인해 배우는 과정에서 어려움을 느낄 수 있다. 남을 가르치기 위해서는 사전 준비가 필요하므로 이 준비의 과정에서 학습효과가 있을 것으로 기대하고 러닝바이티칭 활동을 수업의 일부로 설계하였다. 학생들이 활동 후 배운 점을 기술한 내용을 분석하여 러닝바이티칭 활동이 학습에 도움이 되는지 알아보았다. 남을 가르치기 위해 준비하는 과정에서 학습에 도움이 되었고 상대방을 배려하는 마음이 생겼으며 지식을 공유하는 과정에서 성취감과 보람을 느꼈다고 한다. 러닝바이티칭 활동은 학습적인 면과 인성적인 면에서 배움과 보람과 성장을 경험하는 학습효과가 있음을 보여준다.Computing is applicable to all fields and is a necessary skill for everyone. Computer education is thus necessary for all students regardless of their major. Students may face difficulties in learning computer science. It is therefore necessary to prepare in advance to teach others and enable effective learning. Analyzing students’ learning after participation in the activity, we observed whether learning-by- teaching activities were effective for learning. Preparing to teach others, helped students to learn, be considerate of others, and share knowledge; they felt fulfilled and rewarded. Through learning-by-teaching activities, students experienced a learning effect of learning, reward, and growth.
Annohub - Annotation Metadata for Linked Data Applications.

We introduce a new dataset for the Linguistic Linked Open Data (LLOD) cloud that will provide metadata about annotation and language information harvested from annotated language resources like corpora freely available on the internet. To our knowledge annotation metadata is not provided by any metadata provider, e.g. linghub, datahub or CLARIN so far. On the other hand, language metadata that is found on such portals is rarely provided in machine-readable form, especially as Linked Data. In this paper, we describe the harvesting process, content and structure of the new dataset and its application in the Lin|gu|is|tik portal, a research platform for linguists. Aside from that, we introduce tools for the conversion of XML encoded language resources to the CoNLL format. The generated RDF data as well as the XML-converter application are made public under an open license.
Nursing adverse event risk management based on information management platform

ObjectiveTo explore the risk management effect of nursing adverse events by establishing the information system of nursing adverse events and using quality management tools and PDCA management cycle.MethodsThrough nursing adverse event reporting system and dual platform level hospital evaluation system, quality management tools and the PDCA management cycle were used to retrospectively analyze the nursing adverse events in each quarter, so as to find the high frequent problems and put forward countermeasures to carry out the rectification, and to track the effect after rectification and to amend or specification corresponding system, process, etc.ResultsCompared with the second quarter of 2017, the incidence of adverse nursing events in the third quarter of 2016 decreased from 0.57% to 0.26%; the incidence of medication errors decreased from 0.16% to 0.12%; the incidence of falling from bed increased slightly from 0.08% to 0.12%; and the incidence of nosocomial pressure ulcer decreased from 0.09% to 0.06%.ConclusionInformation management platform provides scientific and accurate data for the risk management of nursing adverse events; and the combined application of PDCA and nursing quality management evaluation system is more conducive to reducing the risk of nursing adverse events, which is of great significance for improving the quality of nursing.Key words: Information management; Quality management tools; PDCA management; Nursing adverse events; Risk management
The Role of Scientific Research in the Policy-Making Process in African Economies

The central argument of this paper is that it is the responsibility of university and research institutions to undertake objective scientific research which can serve as the basis of formulating sound and sustainable socio-economic development policies in African countries.Unfortunately, scientific research as a tool of government policy has not been given adequate attention by policy-makers in many African Countries.In fact, the relationship between policy-makers and university / research and training institutions in the continent has not been very encouraging, particularly in those countries which have not established formal national structures for interface and dialogue.Thus, for scientific research findings to have the desirable impact on the policy-making process and the socioeconomic development in Africa, it is recommended among other things that: first, African governments should provide adequate funding and infrastructure for research; second, African universities and research institutions should aim at excellence by improving upon the quality of their scientific research, and properly address their research endeavours to the contemporary issues, challenges, and problems of national development; third, an interface to promote collaboration and cooperation, build trust and confidence, and promote dialogue between policy-makers, university research and training institution backed by appropriate, adequate and broad database should be put in place.