Reviewerly/exHarmony huggingface dataset:
Study of lexical aspect in the

This paper details the development of a linguistic resource designed to improve temporal information extraction systems and to integrate aspectual values. After a brief review of recent works in temporal information extraction for the medical area, we discuss the linguistic notion of aspect and how it got a place in the NLP field. Then, we present our clinical data and describe the five-step approach adopted in this study. Finally, we represent the linguistic resource itself and explain how we elaborated it and which properties were selected for the creation of the tables.
Enhancing a Communication System with Adaptive Behavior using REACT

Communication systems such as overlay and underlay networks are becoming increasingly complex. Developers may add self-adaptive capabilities to such systems to reduce management effort and to autonomously adapt to changing context. Adding self-adaptive behavior to communication systems, however, is a challenging task due to their distributed and heterogeneous nature. We propose REACT, a model-based runtime environment for adapting communication systems. REACT is available as an open source project and designed to be easy-to-use by practitioners and fellow researchers. In this demo, we follow REACT's three-step development process and show how a domain expert, who is inexperienced in self-adaptive systems development, can enhance a cloud server management system with self-adaptive behavior easily by using REACT.
Research on Audit Model of Dameng Database based on Security Configuration Baseline

Compared with traditional databases such as Oracle database, SQL Server database and MySQL database, Dameng database is a domestic database with independent intellectual property rights. Combined with the security management of Dameng database and the requirement of database audit, this paper designs the security configuration baseline of Dameng database. By designing the security configuration baseline of Dameng database, the audit work of Dameng database can be carried out efficiently, and by analyzing the audit results, the security configuration baseline of Dameng database can be improved.
Construction of Teaching System Based on Blackboard Teaching Platform

The realization of digital university campus, network construction is the foundation, resource construction is the core, teaching application is the goal, the management system is the guarantee. Therefore, how to use modern network teaching platform to organize, manage teaching, better serve the students and teachers, and improve the level of running a school, is an important task in the information construction of colleges and Universities. In this paper, the Blackboard teaching platform is introduced into the construction of the network information teaching environment, and a platform of digital resources and teaching content is constructed by using the characteristics of its ease of use and scale.
Implementation of Deep Learning for Slump Optimization Based on Concrete Quality Using Convolutional Neural Network in PT. SELO PROGO SAKTI

Deep Learning is part of the scientific field of Machine Learning and Machine Learning is part of Artificial Intelligence science. Deep Learning has extraordinary capabilities by using a hardware Graphical Processing Unit (GPU) so that the artificial requirement network can run faster than using a Personal Computer Unit (CPU). Especially in terms of object classification in images using existing methods in the Convolutional Neural Network (CNN). The method used in this research is Preprocessing and Processing of Input Data, Training Process in which CNN is trained to obtain high accuracy from the classification carried out and the Testing Process which is a classification process using weights and bias from the results of the training process. This type of research is a pre experimental design (pre experimental design). The results of the object image classification test with different levels of confusion in the Concrete database with the Mix Design K-125, K-150, K-250 and K-300 produce an average accuracy value. This is also relevant to measuring the failure rate of concrete or slump
Feasibility of higher key rate continuous variable quantum key distribution with multi-mode signals

This paper examines the feasibility of multi-mode Gaussian modulated continuous variable quantum key distribution (CV-QKD) systems for higher rate secure key generation at longer distances. We consider different multi-mode transmission scenarios and propose a feasible experimental set-up for a previously proposed multi-mode CV-QKD system with joint quadrature measurement [1]. We compare signal to noise ratios (SNR) of multi-mode schemes and show many fold improvements in the joint quadrature detection based CV-QKD system.
The role of participatory design activities in supporting sense-making in the smart city

We examine the role of participatory design activities in supporting sensemaking while anticipating technological effects in smart cities.The effects of technology are not univocal.Therefore, creating smart city visions that enclose multiple meanings requires providing environments where stakeholders make the often-implicit processes of meaning attribution to technology explicit.We develop and test three participatory design activities to anticipate value changes and controversies in smart cities, and analyze how these activities supported seven sense-making properties.Our results show that visibilizing, reframing, and imagining are key characteristics of participatory design activities in supporting sense-making.Visibilizing technological impacts 'makes things public,' revealing existing perspectives and fostering new ones.Reframing technological impacts enhances empathy for diverse interests instead of treating smart cities as technical problems.Imagining supports understanding connections between technology and society to anticipate impacts.Our insights contribute to the provision of participatory design activities to articulate multiple meanings around smart cities.
ATENÇÃO PRIMÁRIA A SAÚDE NO COMBATE A COVID-19: IMPORTÂNCIA E DESAFIOS DOS PROFISSIONAIS

This is a literature review with the aim of highlighting the importance of primary health care in the face of the outbreak of COVID-19. For this, a survey was carried out in the main databases, Scielo, Lilacs, Medline, BIREME, CINEHAL and PUBMED, in addition to official documents from the Ministry of Health. Then the studies were evaluated for inclusion or exclusion from the research and later the text was produced. Among those found, 10 publications were chosen. They presented the challenges faced by primary care and the strategies used, including telemedicine, changing the flow of health units following the demands of global and national organizations, in addition to facing problems that already exist in society that add up to COVID- 19. The study demonstrated that the advent of the pandemic began to demand a more decisive role from primary care professionals, in addition to the need to effectively exercise their skills. It should be noted, however, that there is still a need to appraise those involved, and care for them.Keywords: Coronavirus, Health professional, COVID-19, Primary Health Care.
Читання як основа освіти дорослих в умовах бібліотек

The article discusses the results of research on the problem of reading adults in the conditions of libraries and analyzed the concepts of “reading. It is noted that each reader has the right to their own opinion in the perception of the work. Based on the works of M. Rubakin, reading problems in the 20s of the 20th century are revealed. In particular, the essence and practical significance of the reader’s bibliological theory by M. Rubakin are analyzed. Based on the analysis of this theory, it is concluded that the search for literature for an adult reader depends on the psychological type of an adult. The author reviewed foreign modern experimental studies of American and Canadian scientists on the perception of text by adults. It is proved that modern scientific research involves understanding adults reading as a process of communication between the reader and the author. The attention is focused on the fact that in order to comprehend the text, an adult reader needs to understand the text and its emotional perception. The author notes that reading can provide an extension of a person’s worldview, increase a person’s ability to understand and empathize with others. It is concluded that reading adults is a means of forming the personality of an adult person, his professional training and qualifications.
Towards sector specific security operation

Many organisations, especially Critical Infrastructures, are facing an increasingly severe cyber threat situation and are continuously improving their IT-security. We present the state of the art of sector specific security operation of CI operators with the German health sector as an example. To improve the situation we propose several spheres of activity with practical exemplary measures, e.g. for relevant protocols. In this way we help to prepare a CI sector governance with sourcing options for security operation for all relevant actors: from the responsible authorities in the country via a single point of contact in the health sector to hospital centres and the medical practice.
Mimicking Hybrid Manipulator Humanoid Torso by Applying Vector Multiplication Using Microsoft Kinect for Xbox One

The study aimed to use the skeletal tracking feature of Microsoft Kinect for Xbox One for acquiring angle in mimicking hybrid manipulator humanoid torso using vector multiplication. The proponents make use of the design of a humanoid torso that enhances the workspace and bending of the humanoid torso using a hybrid manipulator designed from a previous study. The position of the user's joint was obtained by using the Kinect's skeletal tracking feature. Using LabVIEW, the proponents acquired the needed vector through cross product and the needed angle through dot product from the two vectors created by two points. The angles obtained were fed to the microcontroller through serial communication to convert it to signals to actuate the servo motors in the hybrid manipulator humanoid torso.
Improved Temporal Pooling for Perceptual Video Quality Assessment Using VMAF

The Video Multimethod Assessment Fusion (VMAF) method, proposed by Netflix, offers an automated estimation of perceptual video quality for each frame of a video sequence. Then, the arithmetic mean of the per-frame quality measurements is taken by default, in order to obtain an estimate of the overall Quality of Experience (QoE) of the video sequence. In this paper, we validate the hypothesis that the arithmetic mean conceals the bad quality frames, leading to an overestimation of the provided quality. We also show that the Minkowski mean (appropriately parametrized) approximates well the subjectively measured QoE, providing superior Spearman Rank Correlation Coefficient (SRCC), Pearson Correlation Coefficient (PCC), and Root-Mean-Square-Error (RMSE) scores.
Analysis of Written Discourse Errors Committed by Iraqi EFL Learners

This qualitative study aims to analyze the written discourse errors committed by Iraqi EFL learners and to suggest error remedies. Twenty essays written by the University of Anbar students - Department of English – 3rd stage, have been selected to show errors. To this end, the study adopted Corder's 1974 steps of error analysis. The conclusions showed that the written discourse errors are committed because of the difficulties of learning English as a foreign language and the interference between the tongue language and acquired one. The recurrence of errors reveals that the Iraqi EFL learners committed lexical and syntactic errors much more than other types of errors.
Matrix Decomposition Recommendation Algorithm Based on Multiple Social Relationships

A real society has multiple social relationships between users, but existing social network recommendation algorithms often only introduce a social relationship into the recommendation system. This paper introduces a variety of social relationships into the recommendation system based on a multi-subnet composite complex network model. Based on the analysis of the experimental results on the Epinions dataset, a recommendation algorithm introducing multiple social relationships has a significantly higher recommendation accuracy than a recommendation algorithm.
Improved Signal Demodulation and Detection Algorithm for Parallel Receiver

This paper optimizes the parallel receiver algorithm, the parallel receiver system applies parallel demodulation algorithm and dynamic signal detection algorithm into modules such as data arrangement, FFT processing, and phase compensation. With the improved algorithm, parallel receiver can realize the accurate decision of the effective signal and demodulate the parallel signal quickly.
Designing a Mobile Game Application for Student with Learning Disabilities

Learning disabilities are a problem that influences the brain's capacity to receive, process, analyze and store information. These processing issues can interfere with learning fundamental abilities, especially for learning mathematics. Fortunately, different approaches and methods in teaching and learning can improve students with learning disabilities to understand and know to count basic mathematic operations. This study focuses on the designing of mobile game applications based on the Speedline method to help students with learning disabilities to understand basic mathematical operational especially the addition and subtraction problem. Based on the findings, Speedline game was design using the puzzle game concept and the game design is fully discussed in this paper.
Дистанційна освіта музикантів-виконавців: проблеми та перспективи.

The paper is devoted to the problems of distance education in musical educational institutions in playing musical instrument and singing. The actuality of this problem arose due to COVID-19 pandemic and the following lockdown of all educational institutions. There are a lot of publications devoted to distance education problems, musical disciplines have some specific requirements for education process and need a special approach. Musical education includes some requirements less typical for other fields. Firstly, such disciplines as singing or playing a musical instrument require individual lessons. Secondly, the teacher needs not only to listen for student's playing or singing but also to control the activity of the entire musculoskeletal system of the student during music playing to prevent incorrect activity. This requires non-verbal forms of communication between student and teacher as well as an ability to watch for it from different points of view. Lastly, the ensemble playing or singing practice requires real-time interactions between students. These requirements are actually also for lessons of solo singing or playing most of string or wind instruments with an accompanist. It has been shown that modern communication technologies do not fit the requirements mentioned above. It was experimentally investigated that the delay of audio and video signals during communication via the Internet exceeds 200 ms. This makes almost impossible ensemble playing or singing remotely because musicians would hear each other with a delay. For example, for pieces written in Allegro tempo, this delay would be heard as long as a quarter note.  The impossibility of non-verbal communication also makes educational process inferior. It is concluded that problems mentioned above do not allow consider the prospects of distance education of performing musicians as successful. It is suggested the full-time education should be renewed as soon as the lockdown due to pandemic ended. Also, it is suggested that further research of specific forms of communications between student and teacher such as non-verbal communication are needed.
Android Based Application Fawless (Food Assist Wasteless) As Innovative Solution On Reducing Food Waste

Food and Agriculture Organization of the United Nations (FAO) stated that one-third of global food production became food waste.Therefore, food waste issues become a worldwide concern that needs concrete and innovative solution combined with the latest technology.These facts are the reasons why FAWless (Food Assist Wasteless) is made.This android based application is made to reduce food waste that is produced by society by helping them by distributing their extra food or almost expired food so that it is not wasted.Besides, FAWless is also made to put food waste into use.This research uses the descriptive method.The samples are grouped into four categories which are student, student dormitory, household, and small and medium enterprise.The result shows that samples can install and use FAWless applications to distribute their extra food.
The Effect of Task Type on Motivational Fluctuations: The Case of Iranian EFL Senior High School Learners

Previously regarded as a static concept, motivation has now come to be viewed as an entity which is permanently in a state of flux. The dynamic nature of motivation and the concept of motivational fluctuations became widespread as complex dynamic systems theory (CDST) gained more popularity and credence among scholars in sciences and then gradually in the field of applied linguistics. Inspired mainly by this current view of motivation as a dynamic phenomenon, the present study sought to investigate the potential role of task type in motivational fluctuations experienced by EFL learners at the high school. In so doing, the possible role of gender was also taken into consideration. To gather data, the researchers made use of Motometer as a commonly used device for gauging learners’ self-reported levels of motivation over time as well as interviews. In line with the findings, task type was shown to be a major determiner of motivational changes. Among the three tasks implemented in the study, task 2 with a problem-solving focus was characterized as the most inspiring for learners followed by task 3 which was a picture-prompted task. Furthermore, as regards the second research question, gender was found to be of no significance during task performance. The study is thought to have fruitful implications for all educational stakeholders, particularly in the context of secondary education, as well as in language school settings.
USGS enterprise tools for efficient and effective management of science data

First posted September 23, 2020 For additional information, contact: Director, Science Analytics and SynthesisU.S. Geological Survey108 National Center12201 Sunrise Valley DriveReston, VA 20192 The Science Data Management Branch (SDM) of the U.S. Geological Survey (USGS) provides data management expertise and leadership and develops guidance and tools to support the USGS in providing the nation with reliable scientific information on the basis of which to describe the Earth. The SDM suite of tools supports the USGS Data Management Lifecycle by facilitating quality assurance, description, curation, and publishing of the Bureau's scientific data. The SDM suite of tools includes the USGS Data Management Website, USGS Science Data Catalog, Digital Object Identifier Tool, ScienceBase, ScienceBase Data Release Tool, Metadata Wizard, and Online Metadata Editor.
Towards Fast Data-Driven Smooth Path Planning with Fair Curves

Path planning with smoothness considerations is of relevant interest to ensure the safety and the comfortability of passengers in mobile and vehicle navigation. In this paper, we present our preliminary results in computing smooth paths from observed mobile robot trajectories. Our approach enables the generation of alternative paths safer paths for navigation, and is potential to extend towards the fitting and fairing of curves with utmost efficiency.
SISTEM INFORMASI ADMINISTRASI DESA PANGKALAN BATANG DI KECAMATAN BENGKALIS MENGGUNAKAN FRAMEWORK LARAVEL

Services to the public in the village of Pangkalan Batang are in the form of administrative servicesthe public must come to the village office to find out about service procedures, queue up and get services. The public must also go back and forth to the village office if they lack the conditions for administrative administration. As for the delivery of information about activities carried out in the village carried out by sending letters and through person to person. To overcome this problem, it is proposed that the information administration system of the pangkalan Batang village in the kecamatan bengkalis use the laravel framework, the PHP and MySQL programming language as a database using the waterfall method that can be done computerized so that it becomes faster and more accurate. This application has three parts, namely the village admin, the village head (village head) and the public. This application features the printed letter of being unable, birth letter, marriage letter, parental consent, not related to marriage and gender correctness for administrative arrangements implemented in pdf format. In addition, in this application the public can see information about news, agendas and documentation of village activities in the form of an up-to-date gallery of Pangkalan Batang Village.
Assessing the Memory Ability of Recurrent Neural Networks

It is known that Recurrent Neural Networks (RNNs) can remember, in their hidden layers, part of the semantic information expressed by a sequence (e.g., a sentence) that is being processed. Different types of recurrent units have been designed to enable RNNs to remember information over longer time spans. However, the memory abilities of different recurrent units are still theoretically and empirically unclear, thus limiting the development of more effective and explainable RNNs. To tackle the problem, in this paper, we identify and analyze the internal and external factors that affect the memory ability of RNNs, and propose a Semantic Euclidean Space to represent the semantics expressed by a sequence. Based on the Semantic Euclidean Space, a series of evaluation indicators are defined to measure the memory abilities of different recurrent units and analyze their limitations. These evaluation indicators also provide a useful guidance to select suitable sequence lengths for different RNNs during training.
Increasing the Accuracy of the ASR System by Prolonging Voiceless Phonemes in the Speech of Patients Using the Electrolarynx

Patients who have undergone total laryngectomy and use electrolarynx for voice production suffer from poor intelligibility. It may lead in many cases to fear of speaking to strangers, even over the phone. Automatic Speech Recognition (ASR) systems could help patients overcome this problem in many ways. Unfortunately, even state-of-the-art ASR systems cannot provide results comparable to those of conventional speakers. The problem is mainly caused by the similarity between voiced and unvoiced phoneme pairs. In many cases, a language model can help to solve the issue, but only if the word context is sufficiently long. Therefore adjustment of acoustic data and/or acoustic model is necessary to increase recognition accuracy. In this paper, we propose voiceless phonemes elongation to improve recognition accuracy and enrich the ASR system with a model that takes this elongation into account. The idea of elongation is verified on a set of ASR experiments with artificially elongated voiceless phonemes. To enriching the ASR system, the DNN model for rescoring lattices based on phoneme duration is proposed. The new system is compared with a standard ASR. It is also verified that the ASR system created using elongated synthetic data can successfully recognize the actual elongated data pronounced by the real speaker.