Reviewerly/exHarmony huggingface dataset:
OPOSSAM: Online Prediction of Stream Data with Self-Adaptive Memory

Data streams such as traffic flows, stock prices, and electricity consumption are endless time-series data from time-varying environments, and concept drift in non-stationary data streams is an important problem. To forecast the shortrange future values of such data streams accurately in real time, we propose an online prediction method called Online Prediction Of Stream data with Self-Adaptive Memory (OPOSSAM). OPOSSAM introduces adaptive memory management consisting of short term memory and long-term memory to manage time-series segments, and forecasts future values by local regression based on similar time-series segments. In order to deal with concept drift, OPOSSAM automatically adjusts the prediction model learned from short-term memory by considering the prediction model learned from the entire memory as the prior model. In addition, OPOSSAM keeps long-term memory consistent by reducing redundant samples with large prediction errors. Experimental results showed a reduction in prediction errors compared with baseline methods on real-world datasets in the different domains of traffic flow, stock prices, and electricity consumption.
The distance learning course as a form of organization the independent training of technical specialties’ students

The concept of modernization of modern higher education involves the training of qualified, competent specialists at the level of world standards. As the international practice shows, a modern specialist in any field of activity, effectively realizes their professional abilities only if they assimilate the values that have been formed by previous generations for centuries. The special role in this is played by disciplines of the humanitarian cycle, which are taught to students at NTUU "Igor Sikorsky Kyiv Polytechnic Institute". They promote humanization of technical education, overcoming the narrow-faced thinking of future engineers and specialists. One of such humanitarian disciplines at the university is "Ukrainian language of professional communication". In order to improve the quality of education through the introduction of new forms, methods of training and dissemination in higher education of modern information technologies at NTUU "Igor Sikorsky Kyiv Polytechnic Institute", teachers of the Department of Ukrainian Language, Literature, and Culture of the Department of Linguistics introduced a distance learning course "Ukrainian language of professional communication" for bachelors in all areas of training, which allows each student to work in an individual mode under the guidance of teachers. Application of new information and telecommunication technologies in the educational process, creation, and use of modern electronic teaching aids and distance courses solve complex tasks of forming a single educational information environment. Today, integration of modern pedagogical and information technologies, their wide introduction into the educational process is very important. In the system of vocational education, issues of linguistic culture, in particular the culture of professional communication, are of particular importance. Imperfect knowledge of the Ukrainian language leads to the appearance of a significant number of typical errors, reducing the overall level of the culture of speech. An important role in mastering students’ knowledge of the course "Ukrainian language of professional communication" is given to independent work, which gradually becomes one of the leading forms. Independent work stimulates the problematic, controversial nature of learning, enhances the creative activity of students in the process of mastering professional and general education knowledge. The concept of activation, optimization, and intensification of all parts of the educational process becomes an integral part of modern didactics. Outside the classroom process, the subject is expanding the amount of material to be absorbed (both theoretical and applied), assisting in preparing for the tests and examinations in professional disciplines. Key words: Ukrainian language of professional communication, distance learning course, independent work, formation of language skills and students' skills.
The impact of job crafting on work engagement: evidence from Jordanian universities

Job crafting has emerged as a theoretical approach that expands perspectives on job design to include proactive changes that employees make to their own jobs. This study examines the impact of job crafting on work engagement mediated by autonomy and task independence among university academics in Jordan. Data for this study were collected from 264 academics to explore the effect of job crafting on work engagement. Results indicated that job crafting has positive significant impact on work engagement, and that autonomy and task independence facilitate and enhance job crafting behaviours. Recommendations and suggestions for future research are provided.
Design and Application of an Intelligent Evaluation System for Range Test

Aiming at the requirements of data processing, parameter interpretation and automatic generation of evaluation report for range test, a four-tier system framework is designed, including basic layer, support layer, evaluation layer and application layer. The function design and main workflow of the system module are described, and the implementation method of key modules is analyzed. The system is verified by an example and has been widely applied in range tests.
Analysis of measurement error caused by swing motion for determining the physical thickness and group refractive index of a large glass panel

The optical interferometry is a non-contact dimensional measurement technique which is capable of ultra-high-precision measurements. Fundamentally, it provides the optical path difference instead of the geometrical path difference. For thickness measurements of glass panels, the physical thickness can be extracted from the optical thickness when the refractive index of the glass panel is precisely given. Otherwise, the precision of an optical interferometer cannot be maintained owing to errors in the refractive index. To overcome this problem, several studies based on optical interferometry for simultaneously measuring the physical thickness and refractive index have been proposed and realized. For in-line inspections, the vibration problem becomes serious with increased dimensions of thin glass panels. When delivering large glass panels, a large amount of vibration is inevitable. In this paper, a transmission-type spectral-domain interferometer for determining physical thicknesses and group refractive indices of large glass panel, which can be operated even under vibration conditions is introduced. For an in-line inspection, large tilt angles of glass panels are created by swing motion when delivering these glass panels at a high-speed. Even if the proposed method determines physical thickness values successfully under the severe vibration condition used here, the measurement error caused by the vibration effect should be investigated and analyzed to correct the measured thickness values. To do this, a theoretical analysis of the error was performed by mathematical modeling. Moreover, the error of the physical thickness was experimentally analyzed at various tilt angles of the large glass panel. The uncertainty was evaluated to be about 436 nm based on the results of these investigations.
Tacit Knowledge Turning Explicit: A Web 2.0 Effect

The paper discusses the web 2.0 tools and its contribution to the Knowledge management by using the tools like, wikis, blogs, podcasts, social media, etc. The paper focused on the knowledge being recorded on Web 2.0 tools and excludes that it is recorded in conventional knowledge containers like books, journals, periodicals. It is the tacit knowledge, which remains unpublished. The paper emphasizes the fact that, the tacit knowledge may turn into explicit if recorded on the web 2.0 tools such as wikis, blogs etc.. On the other hand, if one’s knowledge is not recorded on wikis/blogs, it may remain tacit, despite the collaborative environment.   Keywords : Knowledge Management, Web 2.0, Wikis, Blogs, Tacit Knowledge, Explicit Knowledge Cite this Article Dattatray Popat Sankpal, Vilas Govind Jadhav. Tacit Knowledge Turning Explicit: A Web 2.0 Effect. Journal of Advancements in Library Sciences. 2019; 6(Special Issue 1): 72s–75s.
Java Persistence Without ORMs

We have so far taken a quick walkthrough of the Spring Data JPA, with mostly positive use cases. There are also a few downsides to using an ORM framework. With today’s growing demand for scaling, it becomes important to discuss such issues with ORMs. This chapter considers the performance-related problems of ORMs when applications grow to a scale beyond ordinary limits:
Investigation of Flash Flood Threats Using Spatial Data in Lawe Sigala-gala District, Southeast Aceh District, Aceh

Flash floods are floods with very large water discharge that comes suddenly. In 2017, Lawe Sigala-gala District, including areas affected by flash flood in Central Aceh District, needs to be done by researching maps of potentially flood-prone areas. The study was conducted using DESKTOP ArcGIS software with a scoring method and weighting of parameters. The threat parameters are 6 parameters and the score given to each parameter has an interval of 5 with a low, rather low, medium, rather high, and high class. Based on the calculation results, the study location consisted of 3 flash flood threat classes namely low class covering Lawe Deski sub-watershed, medium class covering Lawe Tua Makmur sub-watershed, Suka Jaya sub-watershed, Lawe Rakat sub-watershed and Tanoh Alas sub-watershed, and high class covering Bukit Sub-watershed Independent. The threat of flash flood in this sub-district is influenced by land use. This is due to the uneven distribution of the population that is a settlement in this sub-district.
NATIONAL SUBSCRIPTION AND LIBRARY ACQUISITION. PART TWO. THE PRINT AND ELECTRONIC BOOK ACQUISITION IN RUSSIA. STRUCTURE OF RUSSIAN MARKETS OF SCHOLARLY INFORMATION

Introduction. The national-level subscription to the global citation indexes Web of Science Core Collection and Scopus and the Freedom Collection of Elsevier released 70% of the electronic acquisition expenditures in the Russian libraries. The article aims at the analysis of the changes in the scope and structure of the book and electronic/print book acquisition budgets in the Russian libraries upon the state-funded national subscription. The article studies changes in the structure of the Russian markets of scholarly information broken in different reference groups. Materials and Methods. The article employs statistical analysis of the survey results. Materials comprise results of the data processing of the Russian surveys on the acquisition budgets in 2016–2018 and published results of the international surveys. We analyze three main reference groups and four sub-groups of the Russian institutions. Results obtained in Russia are compared with the results for American academics. Results. Our findings show that the acquisition budgets of Russian institutions demonstrate a shift towards the book and print book acquisition. Both trends differ from the international ones and the 2022 forecasts of the American libraries. The markets of electronic scholarly information show continuous concentration to the segment of universities. In 2018, relative shares of the university segment of the markets of electronic resources and electronic books made correspondingly 94% and 99%. In the electronic book market, the share of the reference group of the universities of the 5/100 project increased from 24% to 32%, whereas the share of two national universities shrank from 24% to 14%. Discussion and Conclusions. The results obtained probably indicate the effect of the national subscription on the library acquisition. The loss in the market positions of the group of Russian national universities can change leaders in the field of research output.
Materials and metrics for Swedish speech tests (Witte & Köbler, 2019)

Purpose: As factors influencing human word perception are important in the construction of speech perception tests used within the speech and hearing sciences, the purposes of this study were as follows: first, to develop algorithms that can be used to calculate different types of word metrics that influence the speed and accuracy of word perception and, second, to create a database in which those word metrics were calculated for a large set of Swedish words.Method: Based on a revision of a large Swedish phonetic dictionary, data and algorithms were developed by which various frequency metrics, word length metrics, semantic metrics, neighborhood metrics, phonotactic metrics, and orthographic transparency metrics were calculated for each word in the dictionary. Of the various word metric algorithms used, some were Swedish language reimplementations of previously published algorithms, and some were developed in this study.Results: The results of this study have been gathered in a Swedish word metric database called the AFC-list. The AFC-list consists of 816,404 phonetically transcribed Swedish words, all supplied with the word metric data calculated. The full AFC-list has been made publicly available under the Creative Commons Attribution 4.0 International license.Conclusion: The results of this study constitute an extensive linguistic resource for the process of selecting test items in new well-controlled speech perception tests in the Swedish language.Supplemental Material S1. List of all phonetic characters used in the AFC-list along with their corresponding Unicode hexadecimal code, underlying phonemes, as well as example transcriptions.Supplemental Material S2. Swedish positional segment probability (PSP) data as well as standardized positional segment probability (S-PSP) data.Supplemental Material S3. Swedish position-specific biphone probability (PSBP) data as well as standardized position-specific bi-phone probability (S-PSBP) data.Supplemental Material S4. AFC-list syllabification clusters (ASC).Supplemental Material S5. Swedish stress and syllable structure based normalized phonotactic probability (SSPP) data.Supplemental Material S6. Swedish pronunciation-to-grapheme rules used in the current study.Supplemental Material S7. Swedish grapheme-to-pronunciation orthographic transparency (G2P-OT) data.Supplemental Material S8. Swedish grapheme-initial letter-to-pronunciation orthographic transparency (GIL2P-OT) data.Supplemental Material S9. Swedish pronunciation-initial phone-to-grapheme orthographic transparency (PIP2G-OT) data.Supplemental Material S10. A tab-delimited text file (UTF-8) containing the AFC-list.Supplemental Material S11. A Microsoft Access database file containing the AFC-list.Supplemental Material S12. Description of all columns used in the AFC-list.Witte, E., & Kobler, S. (2019). Linguistic materials and metrics for the creation of well-controlled Swedish speech perception tests. Journal of Speech, Language, and Hearing Research, 62, 2280–2294. https://doi.org/10.1044/2019_JSLHR-S-18-0454
A Study of Implicature in Daredevil Web Series Movie

This study is aimed to identify the implicature and their maxim violation and find out how the violating maxims occur in the movie. The study is conducted by using the qualitative method. The research object of this study is about implicature and the violation of the maxim. The subject of this study is a web series movie script entitled Daredevil, the scripts are taken from season 1 episode 1 until 3. To collect the data, the writer uses note taking technique. The writer uses pragmatic referential method (metode padan pragmatis) to analyze the data. The result shows 25 implicatures in Daredevil web series movie that occur because of its violation of the maxim. There are 20% implicature by violating the maxim of quantity, 36% implicature by violating the maxim of quality, 26% implicature by violating the maxim of relation, 18% implicature by violating the maxim of manner. By violating the maxim, the characters produce some implied meanings which can be used to misleading the hearer. The implied meaning of the utterances refers to an expression of agreement, denial, refusal, acceptance and indirect sentence, it depends on how the character uses the implicature. Key words: Pragmatics, Context, Cooperative Principle, Implicature, Violating Maxim
PNS199 PREDICTING FALLS IN ELDERLY PATIENTS USING CLAIMS DATA: A TIME-AWARE DEEP LEARNING APPROACH

Artificial intelligence (AI) is increasingly being used to turn enormous amounts of healthcare data into insights that support identification of patients at high risk for adverse events. This study presents an application of AI using clinical claims data to evaluate the performance of a model predicting falls, a highly prevalent and costly healthcare event. The study sample included 500,000 Medicare Advantage beneficiaries, sampled from a nationally representative claims database, who had at least 10 months continuous enrollment in 2015-2017. A deep neural network model was constructed to take 2-year-long sequences of patient diagnoses, medications and procedures as input, and output the probability of a fall in the third year. A Time-Aware Hierarchical Attention Model was designed using inception convolutional neural network with Attention at claim-level, and Time-Aware Long-Short-Term Memory with Attention at encounter-level. This model takes into account the relationship between long-term medical history and current status, and also the time intervals between medical events (rather than treating events as evenly spaced). Model performance was assessed by area under receiver operating characteristic curve (AUC), precision-recall curve and reliability diagram. The model resulted in an AUC of 0.791. Under a 0.2 threshold in the precision-recall curve, the model resulted in 78% recall with 41% precision. A 0.7 threshold yielded 26% recall and 70%precision. The model is also well calibrated with Brier score as 0.049. Claims associated with a significant increase in falls risk included limb thrombus, osteoarthritis, urinary disorder with frequent night urine, and chronic obstructive pulmonary disease. Deep neural network modeling can be used to leverage large amounts of data and identify increased risk of falls. It can help decision makers target appropriate interventions and medical resources to reduce the incidence of adverse events and reduce the concomitant medical costs.
Electric Waste Collecting Vessel (EWOV) – Citarum River

This waste collecting vessel is specifically designed to assist with the clean up of the 300km Citarum River, the longest and largest river in Indonesia. This vessel has the capacity of cleaning at least 5.4 tons of waste per day. In a country highly dependent on cheap fossil fuel, Indonesia has yet to ride on the wave of clean energy revolution due to its high initial cost of investment. The vessel uses rechargeable batteries as a source of energy for propulsion and to reduce impact on the environment in contrast to using combustion engine. The method used for this design is The Parrent Vessel Approach. The main dimension of the vessel is determined to be LOA = 8 m, B = 3 m, T = 0.2 m, H = 0.7 m, B1 = 0.7 m, Cb = 0.977, with 3 knots service speed and operating duration of at least 1.3 hours, motor power requirement to be 0.756 kW with 2.685 Wh per battery capacity. The payload capacity is 1.8 tons per round of waste collection. Garbage’s density in general is 481 kg/m^3
Working with Arrays

There are more than 80 core PHP functions dedicated to handling data stored in arrays dedicated to modifying, sorting, comparing, and extracting information. This chapter focuses on some of the more interesting and useful applications of manipulating arrays, including finding all permutations, automatically generating nested HTML lists from a multidimensional array, and extracting data from JSON.
Self-Adjustment and Community Consensus: Token-Curated Registries in the Economy of an Open Access Academic Journal

The purpose of this work is to propose a model for running open access academic journals, a model based on a new technology from the sphere of blockchain, smart contracts and cryptoeconomics: token-curated registry (TCR).The authors delineate key issues and bottlenecks of scholarly publishing and peer review process.The principle of operation of the TCR, its advantages and disadvantages, its underlying theoretical setup, is then described.An peer-reviewed journal based on TCR technology is proposed, in which decisions on publishing an articles are made by interested members of the journal's community (as a rule, by authors who published articles in its previous issues) and material incentives are created for the good work of peer reviewers.
Iterative Inference Technique for Image-to-image Translation of Tile Art Image Generation

Tile art made by assembling small pieces of tiles is one of the artistic techniques. Tile art image generation is generating a tile art image that resembles a given digital photos and illustrations on the computer. In our previous work, we proposed a tile art image generation method using conditional generative adversarial networks. This method can generate a tile art image only by inference computation of the trained network. However, in generated tile art images, some tiles have noises and lack of edges. The main contribution of this work is to show a quality improvement technique of the generated tile art image using iterative inference. In this technique, the generated tile art image is given to the trained generator again as an input image, and this iteration of inference is repeated several times. As a result, the generated tile art images obtained by iterative inference technique have less noise and clearer edges of tiles.
From Horn-SRIQ to Datalog: A Data-Independent Transformation that Preserves Assertion Entailment.

Ontology-based access to large data-sets has recently gained a lot of attention. To access data efficiently, one approach is to rewrite the ontology into Datalog, and then use powerful Datalog engines to compute implicit entailments. Existing rewriting techniques support Description Logics (DLs) from ELH to Horn-SHIQ. We go one step further and present one such data-independent rewriting technique for Horn-SRIQ⊓, the extension of Horn-SHIQ that supports role chain axioms, an expressive feature prominently used in many real-world ontologies. We evaluated our rewriting technique on a large known corpus of ontologies. Our experiments show that the resulting rewritings are of moderate size, and that our approach is more efficient than state-of-the-art DL reasoners when reasoning with data-intensive ontologies.