Reviewerly/exHarmony huggingface dataset:
SoDA: On-device Conversational Slot Extraction

We propose a novel on-device neural sequence labeling model which uses embedding-free projections and character information to construct compact word representations to learn a sequence model using a combination of bidirectional LSTM with self-attention and CRF. Unlike typical dialog models that rely on huge, complex neural network architectures and large-scale pre-trained Transformers to achieve state-of-the-art results, our method achieves comparable results to BERT and even outperforms its smaller variant DistilBERT on conversational slot extraction tasks. Our method is faster than BERT models while achieving significant model size reduction–our model requires 135x and 81x fewer model parameters than BERT and DistilBERT, respectively. We conduct experiments on multiple conversational datasets and show significant improvements over existing methods including recent on-device models. Experimental results and ablation studies also show that our neural models preserve tiny memory footprint necessary to operate on smart devices, while still maintaining high performance.
Singularity Universe or Parallel Universes? – MSP Theory (Multiple Singular and Parallel Theory)

This paper analyzes the issue of the singularity universe and parallel universes. Multiple universes exist, but not inside one to another, as presented in the work “Is It Plausible to Have Universes Inside Universes - The Interuniversal Numbers”. The interuniversal numbers show that every universe has a singularity structure, but parallel cases. The parallel cases are deactivated forms. This means that making time travel causes changes to all the space-time patterns. Then, it is not plausible to go to another point of space-time and this to happen to multiple universes. The parallel universes are different cases of the same universe and then we live a different case of reality. The reason for this is the singularity. Without singularity, it is not plausible to have multiple universes. But, parallel universes are inactive cases of the current universe, and the only way to break them is by following the way described in the paper “Time travel - According to Mathematical Axiomatic Physics”.
Towards a fault-tolerant one-way quantum repeater

Quantum communication can enable new features that are provably impossible with classical communication alone. However, the optical fibers used to send the quantum information are inherently lossy. To overcome the exponential losses over distance so-called quantum repeaters are needed to amplify the signal. As opposed to memory-based approaches, the third generation of quantum repeaters, also called one-way quantum repeaters do not require two-way communication thus enabling very high communication rates. In particular, the one-way quantum repeater based on photonic tree states proposed by Borregaard et al. (2019) realizes this task with a very modest amount of resources. Nevertheless, the method considered is susceptible to operational errors. In this work, we propose the use of code concatenation of a stabilizer code and the tree code, so that by measuring stabilizers of the stabilizer code and applying the syndrome corrections we can achieve a fault-tolerant one-way quantum repeater. In order to do so, we present a detailed protocol that uses the 5-qubit code. Moreover, we develop the first fully general simulation framework for studying the performance of tree-code based one-way quantum repeater chains, which in this thesis is used to perform an analysis of the proposed protocol. We find that the code-concatenation protocol under consideration has a similar tolerance against operational errors to the protocol proposed by Borregaard et al. (2019). Unfortunately, we are not able to draw a distinction between the tolerance of the two approaches. We do however suggest modified protocols that may provide fault tolerance. Studying these is beyond the scope of this thesis.
Earthquake Detection System using Wireless Sensor Network

Internet Technology bring methods to help detection of earthquake management to collect the data or monitor the condition in real time to analyse the collected data. The Internet of things (IOT) is the network of computed physical objects which enables these things to connect, collect and exchange data. The signal from each sensor which senses the waves and transmitter transfers the alert signal to the cloud. The cloud which will generates alert message transfers the warning to smart phones. Thus, early alert message is received by the people in terms of location, time and other parameters. This will in turn help the people from avoiding major damages to themselves and will help save their lives.
TERTIARY EDUCATION STUDENTS’ ATTITUDE TO DISTANCE LEARNING AND E-PLATFORMS AND TOOLS FOR ITS IMPLEMENTATION

At the end of 2019 and the beginning of 2020, Coronavirus (COVID-19) spread all over the world. Globally, it has been named a pandemic and caused a crisis situation in countries all over the world, including Latvia. Since March 2020, Latvia’s education system has been forced to teach pupils at schools, students at higher educational establishments and life-long learning for adults by means of distance learning. This type of learning was new to those, who had never experienced it before. The authors of this article focus on the tertiary education system in Latvia, and Daugavpils in particular. A survey has been carried out to investigate what kind of attitude students hold towards distance learning and the use of various digital technologies and resources available for the implementation of such a type of learning. The aim of the survey is to figure out whether students prefer classes in lecture-room or from home, to find out what seems beneficial and which aspects are considered drawbacks in the use of various tools employed during on-line classes. It is noteworthy that students’ views on distance learning are dependent on the study programme. The main strengths of distance learning are the economy of time (it particularly refers to time spent on travelling to and from the university, it is more convenient for them to simply turn their computers on and connect to a class), and saving money (reduced or no payment for dormitories, travel expenses, etc.). On the other hand, the number of drawbacks of distance learning mentioned at times outweighs its strengths. Students miss the social life where they can chat to their peers and teaching staff, express themselves in a way that can hardly be done via e-platforms. The constant use of a computer does harm their health (their eyes and backs, etc.). The list of available e-platforms for distance learning is rather long (ZOOM, Microsoft Teams, Yandex video conferencing, Livestorm, Zoho Meeting, Pexip, TeamViewer, RingCentral Video, GoToMeeting, ezTalks Meetings, Cisco Webex, Skype, Apache OpenMeetings, join.me, Google Hangouts and many more), but the results of the survey demonstrate that the preference in Latvia is given to two platforms, namely, Zoom and Microsoft Teams. What concerns the tools used during on-line classes, students admit that they generally enjoy being involved in various activities, but they also note that their use often slows down the process of studies (mainly due to technical problems), as well as not always allows for achieving learning outcomes. The results of the students’ survey echo the results of the interviews carried out with the representatives of teaching staff and testify to the fact that as good and beneficial distance learning may seem, it is not to replace face-to-face on-site studies.
ANALISIS KEMAMPUAN MEMBACA PERMULAAN ANAK DI KELOMPOK B TK TUT WURI HANDAYANI SAMAHANI ACEH BESAR

Reading is an activity following a linear series of writings. Experience is an important aspect of the reading process. Children who have a lot of experience will have a wider opportunity to develop understanding of vocabulary in reading. Formulation of the problem in this research. What are the activities carried out in training early reading skills in group B at Kindergarten Tut Wuri Handayani Samahani Aceh Besar. How to describe the ability to read beginning in group B at Kindergarten Tut Wuri Handayani Samahani Aceh Besar. What were the obstacles faced by the teacher in teaching beginning reading skills to group B children at Tut Wuri Handayani Kindergarten Samahani Aceh Besar. The purpose of this study was to see an overview of the activities given to group B children at Tut Wuri Handayani Kindergarten, Samahgani, Aceh Besar. To see the ability to read early in group B children at Kindergarten Tut Wuri Handayani Samahgani Aceh Besar. This is to find out the obstacles faced by the teacher with the beginning reading ability of group B children in Kindergarten Tut Wuri Handayani Samahgani Aceh Besar. This type of research is qualitative research. The instrument used is interviews, the number of samples is 1 principal and 2 class teachers. The results showed that pre-reading is very important for early childhood which will be the initial foundation in reading. Teachers who teach at Kindergarten Tut Wuri Handayani Aceh Besar, really understand about children's reading development and also teachers at Tut Wuri Handayani Aceh Besar Kindergarten always encourage children by providing creative media that can attract children's attention in pre-reading so that teachers provide reading learning start by using the play system while learning.
Retroalimentación como estrategia para enseñanza y aprendizaje de matemáticas

La educacion superior mexicana tiene entre sus grandes retos mantener la calidad de la ensenanza y el aprendizaje, promover la formacion integral de los alumnos y elevar las tasas de eficiencia terminal. En este contexto, se presenta en la segunda mitad del semestre regular enero-mayo 2020, la pandemia de COVID-19. Como parte del control y prevencion de contagio, la Secretaria de Salud establece una cuarentena o confinamiento voluntario del 17 de marzo hasta el presente dia. El objetivo de este trabajo es compartir las experiencias y reflexiones de la retroalimentacion en un curso de matematicas en modalidad a distancia, del tronco comun del segundo semestre de las carreras de ingenieria de la Facultad de Ingenieria Quimica. Se describe la retroalimentacion como estrategia importante para ensenanza y aprendizaje, en la asignatura durante marzo-junio 2020 y los resultados son utiles para conocer la situacion actual de los estudiantes.Abstract. Mexican higher education has among its great challenges maintaining the quality of teaching and learning, promoting comprehensive education of students training and raising terminal efficiency rates. In this context, the COVID-19 pandemic started in the second half of the regular semester January-May 2020. As part of contagion control and prevention, the Health Ministry established a voluntary quarantine or confinement from March 17 to this day. The purpose of this writing is to share, the experiences and reflections of feedback within a course of mathematics in distance mode, of the common trunk of the second semester of engineering careers at the Chemical Engineering Faculty of the Autonomous University of Yucatan. Feedback is described as an invaluable strategy for teaching and learning, during that course in March-June 2020 and the results of this work are useful to get to know our student’s current situation.
RANCANG BANGUN SISTEM INFORMASI REKAM MEDIS BERBASIS WEB

Medical record is a file that contains records about the patient's identity, examination, treatment, actions and other health services to patients. The speed of obtaining data and processing of data is very much needed in the current technological era. With the development of technology makes people think to be able to work more effectively and efficiently. One of them is making a conventional system into a computerized system. By utilizing website facilities that are connected to the internet, medical records can be more effective and efficient in searching and recording medical history. In this research a web-based information system is designed using the PHP programming language and MySQL database using the waterfall method as its research method. With this system, it is expected to be able to overcome the various needs of users to search for patient data and perform data processing as well as facilitate users in making reports. From the results of research and design that has been implemented to produce medical record applications that facilitate the processing of patient data.
Flouting of Conversational Maxims In ‘Ready Player One’ Movie

Conversational implicatures is an important thing that need to be interpreted in a conversation to avoid misunderstanding between the speaker and hearer so that the goal of communication can be reached. This research focuses on analysing the types of flouting maxims used by the characters in science fiction movie entitled Ready Player One since it is important to make the conversation become more effective. The theory of cooperative principle proposed by Grice used to analyze the types of flouting maxims. The researcher used descriptive qualitative method to describes the data in order to provide deep understanding about the types of flouting maxims used by the characters in the movie. The result of the research shows that there are 25 data of flouting maxim in Ready Player One movie. Flouting the maxim of quantity is the highest frequency of flouting maxim in this movie with 8 number of occurrence or 32% occurrence. Furthermore, flouting the maxim of relation and manner has the same frequency with 7 data or 28% occurrence. Flouting the maxim of quality is the lowest frequency of flouting maxim with 3 data or 12% occurrence.
Using instructional games in an open and distance learning environment / Anealka Aziz Hussin …[et al.]

Learning in an open and distance learning mode is challenging, especially to make students participate actively during the learning session. Students prefer to 'hide' by switching off the camera and microphone on their laptops throughout the learning session. Even during activity time, regular students will be responding, and many prefer to be present silently. Getting students to engage actively is a challenge for the instructors. They need to plan the lessons and activities creatively to motivate them to learn and eventually participate in the lessons. One of the approaches to teaching and learning that has been proven to increase students' motivation and engagement is by integrating gamification elements in the learning process. This approach has led to the creation and development of various games to suit various needs in education. FunLinguistics is a linguistics game for students taking language and Linguistics course. The purpose of the creation of this game is to help students doing their revision for tests. The game covers topics like morphology, syntax, semantics, and pragmatics. This paper intends to describe the process of developing the game and share students' view regarding the approach used to assist them in revising for tests. A structural gamification approach using Microsoft PowerPoint as the main platform with Visual Basic Applications (VBA) was adopted. The game consisted of questions set at different difficulty levels based on Bloom's Taxonomy. An online survey was conducted to get feedback on using the game for revision purposes. This paper hopes to offer some ideas for other language instructors to adopt and try out with their students.
RobKF: Innovative and/or Additive Outlier Robust Kalman Filtering

Implements a series of robust Kalman filtering approaches. It implements the additive outlier robust filters of Ruckdeschel et al. (2014) and Agamennoni et al. (2018) , the innovative outlier robust filter of Ruckdeschel et al. (2014) , as well as the innovative and additive outlier robust filter of Fisch et al. (2020) .
B-PO04-190 A NOVEL VISUAL DIAGNOSTIC ASSESSMENT OF EXPERT AND NOVICE GAZE PATTERNS ON PEDIATRIC ELECTROCARDIOGRAMS USING EYE TRACKING TECHNOLOGY

Pediatric electrocardiogram (ECG) interpretation is difficult to master. Understanding how experienced pediatric electrophysiologists (EPs) visually process ECGs using eye tracking technology (ETT) may allow for development of novel educational tools. To establish characteristics of expert and novice gaze patterns using ETT during assessment of ECGs. Using a Tobii Pro Fusion screen-based ETT, 3 EPs (10-25 yrs experience) and 18 pediatric trainees (8 residents, 10 cardiology fellows) read 5 ECGs from patients with pulmonary hypertension, WPW, Long QT, hypertrophic cardiomyopathy, and anomalous left coronary artery from the pulmonary artery. Visual parameters [Time to Diagnosis (TTD), Percentage of Time (%T) fixating on unique areas of interest (AOI), number of times the location of viewing shifted within an AOI (Fixation Count), the number of times gaze shifted away from and back to an AOI (Gaze Shifts)] and diagnostic accuracy were compared between trainees and EPs. Trainees had less efficient gaze patterns, indicated by longer TTD, higher Gaze shifts and Fixation Counts for all ECGs. EPs spent a higher %T at key diagnostic leads, septal leads, and lateral leads. Trainees spent a higher %T at anterior and inferior leads. Diagnostic accuracy was 66% for trainees vs. 100% for EPs. Trainees and EPs have significant differences in visual diagnostic strategy during ECG interpretation. Trainee gaze patterns are less efficient with less attention at key diagnostic leads compared to EPs. Importantly, this study established distinct regional attention patterns that can be used to establish an educational model for ECG interpretation.
Unravelling pre-eruptive P-T conditions by machine learning

&amp;lt;p&amp;gt;Clinopyroxene based thermometers and barometers are widely used tools for estimating temperature and pressure conditions under which magmas are stored before eruptions.&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;Several studies reported the development and the application of Clinopyroxene&amp;amp;#8211;liquid geothermobarometers in many different volcanic environments, also warning on the potential pitfall in using overly complex models [e.g., 1 and references therein]. The main drawback in the use of models with a large number of parameters is the potential overfitting of the calibration data, yielding a poor accuracy in real-world applications. On the other hand, simpler models cannot account for the complexity of natural magmatic systems, requiring different calibrations for different magma chemistries [e.g., 2, 3].&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;In the present study, we report on the development of Clinopyroxene and Clinopyroxene-liquid thermometers and barometers in a wide range of P-T-X conditions using Machine Learning (ML) algorithms. To avoid overfitting and demonstrate the robustness of the different methods, we randomly split the dataset into training and validation portions and repeating this procedure up to 10000 times to trace the performance of each of the used algorithms. We compared the performance of ML algorithms with classical and established Clinopyroxene and Clinopyroxene-liquid thermometers and barometers using local and global calibrations. Finally, we applied the obtained thermometers and barometers to real study cases.&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;&amp;amp;#160;&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;[1]&amp;amp;#160;&amp;amp;#160;&amp;amp;#160;&amp;amp;#160;&amp;amp;#160; K. D. Putirka, Thermometers and barometers for volcanic systems, Minerals, Inclusions and Volcanic Processes, 69. 61&amp;amp;#8211;120, 2008.&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;[2]&amp;amp;#160;&amp;amp;#160;&amp;amp;#160;&amp;amp;#160;&amp;amp;#160; D. A. Neave, K. D. Putirka, Am. Mineral., 2017, DOI:10.2138/am-2017-5968.&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;[3]&amp;amp;#160;&amp;amp;#160;&amp;amp;#160;&amp;amp;#160;&amp;amp;#160; M. Masotta, S. Mollo, C. Freda, M. Gaeta, G. Moore, Contrib. to Mineral. Petrol., 2013, DOI:10.1007/s00410-013-0927-9.&amp;lt;/p&amp;gt;
Download NOX Player App for PC/Laptop Windows 10/7/8

Download NOX App Player for PC: The Android gaming market has been growing smoothly over the years. Games like Clash of Clans for PC, Asphalt 9 for PC ...
Obstacles Detection at a Railroad Crossing Using the Histogram of Oriented Gradients Method and Support Vector Machine Classifier

The present study aimed to detect obstacles at railroad crossing using the histogram of oriented gradients method and support vector machine. Railroad crossing is a place where the railroad lines intersect with other roads, such as a highway. Referring to the Regulation of Minister of Transportation Number 36 Year 2011, railroad crossing must be equipped with signs, markers and traffic signaling devices and crossing gate guards. However, 3477 of the 4716 level crossing points are without railroad keeper so that they are prone to traffic accidents. In addition, hazard information (danger signs) from the railroad keeper to the OOperation Center and machinists sometimes cannot be seen at night and in a foggy situation. Therefore, this research aims to detect obstacles (cars) at a railroad crossing using the Histogram of Oriented gradient (HOG) method and the Support Vector Machine (SVM) classifier. HOG functions to extract object features (cars), while SVM is responsible for classifying car objects whether they fit the criteria of car features or not. The results show that an accuracy rate of car objects was 85%, 73% for empty train tracks and 91% for detection of passing trains.
Redundant data high-efficiency compression based on distributed parallel algorithm

Redundancy occurs when multiple consumers of the network attempt to access the similar content online. Many state-of-the-art studies have been proposed to remove redundancy from the network and to enhance the network efficiency of Internet applications. Still there is a necessity to explore more data redundancy elimination (DRE) techniques, especially for defense-based networks to enhance the data transmission speed and to compress the irrelevant data optimally for reducing the network latency. In order to improve the optimal storage capacity of redundant data over serial hybrid network cascade database, a high-efficiency redundancy elimination method based on the distributed parallel algorithm is proposed in this paper. The distributed storage structure model for handling redundant data of serial mixed network cascade database is designed and tested in simulated environment. The extraction of features of redundant data is performed by using distributed hybrid feature mining technique. The dimensionality reduction of redundant data is also attained by devising the feature transformation method to remove the unwanted features of data. The two benchmarked techniques have been selected for comparative study and to evaluate the performance of the proposed method. The simulation results show that the proposed DRE method can significantly reduce the redundancy from the network traffic. The bandwidth utilization is improved, the duplicate data are also compressed optimally and it is proved that the proposed DRE method is viable for large networks to eliminate the redundant data.
Textural feature analysis of region of interest in Contrast-Enhanced Spectral Mammography (CESM): updates

Poster: ECR 2019 / C-3111 / Textural feature analysis of region of interest in Contrast-Enhanced Spectral Mammography (CESM): updates  by: D. LA FORGIA1, R. Dentamaro2, V. Didonna1, A. Fanizzi1, L. Losurdo2, R. Massafra1, P. Tamborra2, M. Telegrafo3, M. Moschetta 2; 1BARI, BA/IT, 2BARI/IT, 3TRIGGIANO/IT
LibGuides: Searching for Online and Print Information Sources: Home

This LibGuide is designed to provide tips and suggestions for searching for online and print information sources, especially for research assignments or research for publication. Most of these strategies might be called recipe guides because they offe