Reviewerly/exHarmony huggingface dataset:
Experiments with ad hoc ambiguous abbreviation expansion

The paper addresses experiments to expand ad hoc ambiguous abbreviations in medical notes on the basis of morphologically annotated texts, without using additional domain resources.We work on Polish data but the described approaches can be used for other languages too.We test two methods to select candidates for word abbreviation expansions.The first one automatically selects all words in text which might be an expansion of an abbreviation according to the language rules.The second method uses clustering of abbreviation occurrences to select representative elements which are manually annotated to determine lists of potential expansions.We then train a classifier to assign expansions to abbreviations based on three training sets: automatically obtained, consisting of manual annotation, and concatenation of the two previous ones.The results obtained for the manually annotated training data significantly outperform automatically obtained training data.Adding the automatically obtained training data to the manually annotated data improves the results, in particular for less frequent abbreviations.In this context the proposed a priori data driven selection of possible extensions turned out to be crucial.
TONES OF STEVE JOB'S GOODBYE SPEECH

This article is an analysis study of tone in a speech, and this analysis based on the theory by Michael McCarthy and Crystal. The article is aimed to know about kinds of tones, the dominant tones and the meaning of dominant tones in the speech. The writers found that this speech used five kinds of tones, namely Rise, Fall, Fall-rise, Rise-fall and level. The result showed all answer of the question. In this article we can know the meaning from the speaker in his speech, how is his feeling and his expression just from their tones in speaking that is Steve job’s showed how Steve Job’s is Encouragement, Urgency and Straight (positive face) because the dominant types of tone he used in his speech is Fall-rise. In the video showed. The writers suggests for the further writers can use other sources which are more than interesting from this one.
INTERDEPARTMENTAL COOPERATION ON THE FORMATION OF PATRIOTISM OF A MODERN TEENAGER IN A SECONDARY SCHOOL

The article deals with the creation of conditions for the development of Patriotic education of a modern teenager in a General education institution by creating a system of interdepartmental cooperation.It is established that the contribution of not only the education system, but also cultural institutions, sports, social protection is necessary to achieve this goal.It is confirmed that the formation of patriotism, it is a modern teenager, requires new, innovative methods of solving the problem.
Artificial Intelligence and Image Analysis for the Identification of Endometrial Malignancies

The aim of this study is to compare machine learning algorithms (MLAs) in the discrimination between benign and malignant endometrial nuclei and lesions. Nuclei characteristics are obtained via image analysis and were measured from liquid-based cytology slides. Four hundred sixteen histologically confirmed patients were involved, 168 healthy, and the remaining with pathological endometrium. Fifty percent of the cases were used to three MLAs: a feedforward artificial neural network (ANN) trained by the backpropagation algorithm, a learning vector quantization (LVQ), and a competitive learning ANN. The outcome of this process was the classification of cell nuclei as benign or malignant. Based on the nuclei classification, an algorithm to classify individual patients was constructed. The sensitivity of the MLAs in training set for nuclei classification was in the range of 77%-84%. Patients' classification had sensitivity in the range of 90%-98%. These findings indicate that MLAs have good performance for the classification of endometrial nuclei and lesions.
Design of Mobile Robot for Obstacle Avoidance using Microcontroller

Four DC motors of the robot and servo motor DC motors shield Arduino Ultrasonic sensor
HelloCare: APLIKASI MANAJEMEN PENGETAHUAN BERBASIS ANDROID UNTUK TENAGA KESEHATAN

Technology Development in the health sector is one of the main targets in mobile application development today. Sharing knowledge and experience among health workers are challenging to implement because of the lack of a place to exchange their ideas. Based on this background, we built a HelloCare application on the Android platform as an application of knowledge management for health workers. Testing of the application using the System Usability Scale (SUS) to 30 respondents consisting of nurses and physicians, the result of effectiveness is 80.88% as for satisfaction is 96.16%. We also test the application using knowledge management functions and get the average result at score 3.33871 of 5. It means that the HelloCare application is good enough to support knowledge management in the health area. Keywords: knowledge management, mobile application, health workers
The implementation of Cognitive Strategy Instruction in Writing (CSIW) strategy in teaching writing for the eight grade students at Mts Al-Karomah Winong Ngawi

Teaching and learning English in junior high school has the goal of focusing the students' ability to use English in every skill. One of the skills in this level is writing. Writing as one of four skills in language is a difficult one, especially for Junior High school. The purposes of the research are to describe the implementation of CSIW strategy, the advantages and the disadvantages in using CSIW strategy, and the students' response to implementation of CSIW strategy in teaching writing. The researcher offers CSIW strategy to solve those problems by improving the students' writing skills. The implementation of CSIW strategy in teaching writing for the eighth grade students at Mts Al-Karomah in the school year of 2015/2016 has three steps, they are pre-activity, whilst-activity, and post-activity. The results of implementing these three activities in class are the students become more directive in writing recount text, they show, the reason, how to write in their story well and the topic clearly. The students are also more active and concentrate on the learning process. Based on the result, it suggested that the teacher should use a strategy when they learn English especially in teaching writing. The students should make the draft/organization of written text before exploring it into their writing. It can help them to do exercise.
Agile-ish: Bringing Agile and Scrum into Project Management for Digital Collections Metadata

Implementations of agile values and principles are increasingly seen in project management beyond their original home in software development. Most library projects drawing on agile and scrum, agile’s most popular methodology, have needed to adapt these principles and methods to varying degrees, but most have been in environments similar to software development. The Pennsylvania State University Libraries’ cataloging department was interested to see if agile and scrum approaches could be successful in managing a metadata project involving an ad hoc team, composed of members volunteering part of their time to the project, and inexperienced in the work needed for the project. While the Penn State Libraries project used extensively modified versions of agile and scrum, we have concluded that using these principles and methods, even if adapted, can greatly improve the process and the outcome of many projects.
Transformation of Blockchain as Social Good

Blockchain is currently considered as a key technology that can significantly reduce the level of transaction costs in the economy, reduce the level of economic and financial risks, and increase the efficiency of economy and financial sector.In this regard, it is relevant to study the possible trajectories of blockchain transformation under conditions when the state has not yet developed a universal model for blockchain integration into the economic system.The blockchain research method as a good is represented by economic sociodynamics, which studies the typology of goods and their transitions under the influence of interests that society presents to a particular product or service.The models of dynamics of social groups of M. Olsen and R. Putnam are also used.The endowment of blockchain with the features of a social good by the state shall not be accompanied by the deprivation of blockchain of the properties of a private good that can satisfy private, not just public interests.This will create conditions for increasing the share of Putnam's groups and reducing the share of Olsen's groups, which will increase the level of trust in society and stimulate the improvement of macroeconomic indicators, such as economic growth and increase in the GDP investment share.
Clustering Time Series Data Mining dengan Jarak Kedekatan Manhattan City

The development of information technology is very rapid and is supported by the development of storage media technology and its application to all fields that produce huge amounts of data stacks generated from various sources, therefore need new techniques in managing data stacks. Data mining has become very important as an object and research study at this time because there are many data stacks found in agencies. Data mining is an analytical process of knowledge discovery in large and complex data sets. In this study the technique used is to conduct time series data mining clusters, using proximity to manhattan city. The time series graph is carried out by the sliding window to produce an analysis of the window for each cluster result. Based on cluster results, an analysis of knowledge transformation is carried out into new knowledge obtained from data mining time series data.
Methodological Analysis and Methodological Interpretation as Methods of Implementation of Competency-based Approach to Training Future Teachers of the Russian Language

The need to implement a competency-based approach to the training of subject teachers is determined by the requirements of The Federal State Educational Standard of Higher Education and The Professional Standard of the Teacher. In this regard, a number of problems arise and among them, there are ones which are of particular relevance for this study: a) the formation of a number of general professional and special professional competencies with reference to each other and b) the development of the future teachers’ experience of the value attitude to the process and results of training. The analysis of scientific sources allowed us to formulate the initial provisions of the study. The first is the need for a combination of cognitive and axiological approaches in training of Bachelors of Philology and the second is the importance of creating a lesson or its fragment by students, which helps them to obtain the value attitude to the selection of content, methods and techniques of teaching the Russian language. These provisions are implemented in the case of using such teaching methods as the methodological analysis of the textbook paragraph and the methodological interpretation of the text. The article defines the methods of teaching which are considered in the study and introduces the concept of methodological vigilance. It describes in detail the content, stages, methods and results of methodological analysis of the paragraph and methodological interpretation of the text and reveals the influence of these methods on the students’ ability to create a lesson based on the materials of the textbook or a lesson fragment based on the text on their own. The ascertaining experiment shows that the third-year students’ ability for the methodological analysis of the textbook paragraph is low, while the 4th-year students experience serious difficulties in the methodological interpretation of the text. The control experiment reveals that the systematic use of these methods in training the future teachers of the Russian language led to the increasing productivity of their methodological activity, increasing of the level of their independence, the formation of responsibility for the content, methods and techniques of teaching. Both methods had a positive impact on the development of students’ methodological vigilance as well as their linguistic and methodological competency.
Convergence Blockchain, AI en IoT

Research & Development in Material Science Convergence Blockchain, AI en IoT Jan Veuger* Schools of Finance & Accounting, Creative Technology and School of Governance, Netherlands *Corresponding author: Jan Veuger, Professor Blockchain Saxion University of Applied Sciences Enschede The Netherlands, Schools of Finance & Accounting, Creative Technology and School of Governance, Law and Urban Development, Netherlands Submission: October 04, 2019;Published: October 15, 2019 DOI: 10.31031/RDMS.2019.12.000777 ISSN: 2576-8840 Volume12 Issue1
A Narrative Approach for Removal Embedded Prototype from Big Tree Data

Many modern functions and systems represent and exchange data in tree-structured form and process and produce large tree datasets. Discovering informative patterns in large tree datasets is an important research area that has many practical applications. We propose a novel approach that exploits efficient homomorphic pattern matching algorithms to compute pattern support incrementally and avoids the costly enumeration of all patterns matching required by previous approaches. To reduce space consumption, matching information of already computed patterns is materialized as bitmaps. We further optimize our basic support computation method by designing an algorithm which incrementally generates the bitmaps of the embeddings of a new candidate pattern without first explicitly computing the embeddings of this pattern. Our extensive experimental results on real and synthetic large-tree datasets show that our approach displays orders of magnitude performance improvements over a state-of-the-art tree mining algorithm and a recent graph mining algorithm.
Penerapan Fuzzy Tsukamoto Dalam Usaha Katering

Food is the main need for humans, so the food business is growing, one of which is catering business. With the catering business it is increasingly easier for people to provide food needs at certain meetings or events. In carrying out its business, entrepreneurs must create different advantages to attract consumer interest. One effort to make the catering business run smoothly is by predicting the amount of income. One of the methods that can be used to solve this problem is the fuzzy Tsukamoto method. Where in this study using 3 variables, namely the ordering variable (X) has a few and many fuzzy sets, the price variable (Y) has an affordable and low set, and the income variable (Z) has a low and high set. The calculation results from the prediction of the amount of income that will be obtained by Sumatra culinary catering with 400 orders and the price of Rp. 13,000 is 4,620,000 per week.
A MAGIC GATHERING: PILOTING AN AUGMENTED REALITY ENGINE TO PROMOTE MENTAL HEALTH AND WELL-BEING

Abstract Augmented reality (AR), superimposing digital assets onto the real-world (i.e., holograms)—offers a paradigm shift in delivering immersive interventions for aging adults. Reminiscence and life review are robust intervention techniques that have decades of empirical support to boost mood and meaning in older adults. In this presentation, we demonstrate the applied research and technology development process to create an AR reminiscence and life review engine for aging adults and their caretakers. We conducted 25 needs assessment interviews with community-dwelling older adults, and assisted living facility directors, nurses, and residents. Initial analyses revealed the need for: (1) finding scalable and cost-effective solutions to alleviate time burden for caregivers; (2) increasing variety of activities that do not need much instruction; (3) producing activities that grab and maintain attention; and, (4) generating more personalized activities that do not divert too much time from caretakers. We integrated the findings to develop a working prototype AR engine called “Project Phonado.” From preliminary user testing, Project Phonado aids in boosting mental health and meaning in aging adults—at least temporarily (immediate and one day follow-up). We will show clips of some pilot user testing of the engine and discuss the next evaluation and development steps.
Dual Stage Augmented Colorful Texture Synthesis from Hand Sketch

In this paper, we investigate the texture synthesis method generated from the hand-made sketches. In recent years, GANs have been vigorously studied in the field of image synthesis and generation, yet the texture synthesis from the hand sketch has not been extensively studied. In order to enable the synthesized image not only to possess the texture features, but also to show vibrant colors, we propose a cascaded network model that can synthesize a texture image. The proposed framework firstly generates a grayscale image with basic texture properties from hand sketch based on the conditional GANs. This grayscale texture is then colorized in the second stage. The network in the second stage is pre-trained using our constructed dataset to learn how to translate the grayscale image to a colorful image. We design a series of experiments to validate the effectiveness of our method. Encouraging results are achieved. The results demonstrate that the dual stage model outperforms the state-of-art generative models in the related areas.
Cross-Modal Multimedia Archives Information Retrieval Based on Semantic Matching

In view of the low recall rate of archives retrieval at this stage, this paper proposes a cross-modal multimedia archives information retrieval model. According to the characteristics of archives, this method carries out feature processing and semantic mapping of archives information, applies the integrated learning method to cross-media archives retrieval, proposes Bagging-SM method for semantic matching of different modes of multimedia archives information, and finally proves that the cross-modal multimedia archives information retrieval model can effectively improve archives information retrieval and retrieval. Full rate is helpful to the development of intelligent retrieval in archives system.
Preparing Technology Teachers for Professional Activities in the Information Space of Technological Education

Current digitalization of education calls for new approaches to teacher training. The study conducted in all Russian regions showed that there is an urgent need to develop a spe-cial training program for technology teachers that would equip them with an adequate in-formation and communications technology (ICT) competence. The new training program needs to be different from the programs developed for teachers of other subjects, since technology as a subject area has specific features with an emphasis on practice-oriented learning and the advanced use of ICT. The study is based on the scientific statements of Russian scientists (Akhmetov, 2008), (Bogatyrev, 2003), (Gotskaya & Zhuchkov, 2001), (Grinshkun, 2013). The majority of scientific works are devoted to the preparing teachers of computer science, mathematics and physics. The methodological foundations of technology teacher preparation is an urgent task. The purpose of the study is theoretical substation, creation and implementation of the methodological system, which prepare technology teachers for ICT use at their further pro-fessional activities. The study uses the modern methods of collecting and processing initial information, pedagogical modeling, experimental work, final diagnostics. The experimental work was carried out in 2008–2018. The participants of the pedagogical experiment were 850 technology teachers from 28 Russian regions, 620 students and 57 teachers from 15 universities in Russia, Ukraine and the USA. The result of the research is the system of methodological preparation of technology teachers, which has been tested at the domestic and foreign levels.
Example C: Using online respondent-driven detection for communicable disease control

Abstract Online respondent-driven detection (online-RDD) is a novel method of case-finding that may enhance contact tracing (CT). However, the opportunities and barriers of online-RDD for public health practice have not yet been investigated from the perspective of public health professionals (PHPs). Therefore, it is unclear what the potential strengths and limitations of online-RDD for CT are. We conducted a sequential exploratory mixed methods research. First, we conducted semi-structured interviews with Dutch PHPs involved in CT. Questions were derived from the diffusion of innovations theory. Second, we distributed an online-questionnaire to 260 Dutch PHPs to study the main findings in a larger population. We used hypothetical scenario’s (scabies, shigella, and mumps) to elicit PHPs’ perceptions of online-RDD. Twelve interviews were held. Response rate to the online-questionnaire was 31% (n = 70). Four themes related to characteristics of online-RDD that influenced PHPs’ intention to adopt online-RDD emerged: advantages over traditional CT, task conflicts and opportunity costs, public health risks, and situational compatibility. PHPs believed online-RDD may enhance CT through increased reach, low-key communication options, and saving time. Limitations were foreseen in the delivery of measures, supporting patients and contacts, missing information and contacts, and causing unrest. Online-RDD may be particularly applicable in situations with digitally skilled and literate target populations, low urgency, low time-pressure, and a simple perspective for action. A majority of PHPs (70%) had a positive adoption intention towards online-RDD. PHPs perceived online-RDD as beneficial to public health practice. Further development of online-RDD should focus on facilitating opportunities for personal contact between PHPs, patients and contacts. A comparative study of ‘traditional’ CT and online-RDD could yield further insights in the potential of online-RDD for public health practice.
A Universal System for Automatic Text-to-Phonetics Conversion

This paper describes an automatic text-tophonetics conversion system.The system was constructed to primarily serve as a research tool.It is implemented in a general-purpose linguistic software, which allows it to be incorporated in a multifaceted linguistic research in essentially any language.The system currently relies on two mechanisms to generate phonetic transcriptions from texts: (i) importing ready-made phonetic word forms from external dictionaries, and (ii) automatic generation of phonetic word forms based on a set of deterministic linguistic rules.The current paper describes the proposed system and its potential application to linguistic research.
Beyond vetting donors

Jeffrey Epstein, the Sackler family, the Koch brothers—these major private donors have reignited talk about how research and education get funded. Increasingly, universities are spending substantial time not only deciding whether to accept gifts but defending them after the fact or renouncing them and returning the money. Although the lessons of Jeffrey Epstein are clear—the Massachusetts Institute of Technology didn't stop its Media Lab from taking his gifts when it was obvious who he was—it seems likely that these kinds of episodes are going to happen more frequently in the future. Blame the intense competition among institutions at a time when money to support university endeavors has gotten tighter. Unfortunately, there's been more talk about this problem than action to solve it.