Reviewerly/exHarmony huggingface dataset:
Modelling of Hand Gestures and Motions

Measuring the radar response has proven to be a valid input for neural networksused for gesture and motion recognition. Previous work have been based on measuringthe radar response of hand gestures, but it has been shown that modelsbased on the analytic expressions for basic objects are useful when simulatinglarger motions, such as pedestrians. This work explores if a hand model made ofbasic objects can reach the same results as actual hands. To do this, this basicobjects model is implemented in two different solvers to compare the differencein value and run-time between analytic expressions and Finite Element Methodsolutions. The Finite Element solution is shown to change value based on the simulatedgesture, but the analytic model is proving to be far faster. In the end, thelatter is not capable of reproducing the response of all motions which have beenmeasured. Implementing object interaction into the analytic model should givethis model the details required to simulate even the smaller gestures. Therefore,this model is still work in progress.
Synaptic Plasticity and the Isolation Effect

An item that is isolated from the surrounding context is better remembered than an item that is consistent with the context. This isolation effect does not occur because an increase in salience at the time of encoding because it also occurs at the first serial position when the context is unknown. Furthermore, it cannot be accounted for by improvised retrieval of the context items because the isolated item is better recalled than a control list consisting of equally different items. This paper suggests that these aspects of the isolation effect can be accounted for by introducing neural plausible mechanisms of synaptic plasticity in an artificial neural network. In particular, it is shown that a sliding modification threshold and bounded synaptic strength can account for the isolation, the primacy, and the recency effects.
An exploratory SOLAP tool for linked open data

Business intelligence (BI) technologies are being successfully applied in data analytics, including in the use of spatial data. The advent of the semantic web brought semantically rich and semi-structured data formats, such as resource description framework (RDF), which are external to the BI infrastructure. The integration of both conventional and semantic web data into a BI system results in a new category of analytical tools called exploratory OLAP. We extend exploratory OLAP with spatial capabilities, providing an exploratory SOLAP, called ExpSOLAP. ExpSOLAP is the first analytical tool that integrates semantic, spatial, semi-structured data with traditional spatial, structured data sources. Additionally, SOLAP queries can be posed in both data sources.
Nível de cuidado estético: um estudo com os homens universitários da Universidade do Sul de Santa Catarina – Unisul

NTRODUCTION: Beauty has long been a woman's subject, but certain changes are raising questions about the role of men and women in society. Scholars still believe that these changes were mainly influenced by the arrival of women in the labor market. The masculine awakening to the universe of vanity caused that several characteristics of these men were modified. OBJECTIVE: To verify the level of aesthetic care of university men from the University of Southern Santa Catarina - UNISUL - Pedra Branca Unit. METHODOLOGY: This study was characterized as a research of analytical, observational approach of the transversal type, of quantitative nature. The population was composed of male students, undergraduate courses at the University of Southern Santa Catarina - UNISUL, Pedra Branca unit. The individuals were selected for convenience, thus being the sample of the non-probabilistic type. RESULTS: The predominant mean age of the participants was 22.9 years, unmarried. With average family income between 3 and 7 minimum wages. Regarding the areas of the courses, it was noted that he taught the civil engineering course. In a general classification, the university men of the University of the South of Santa Catarina have a medium level of aesthetic care when it comes to cosmetic treatments and consumption of Personal Hygiene Products, Perfumery and Cosmetics. CONCLUSION: It was noted that the macho performance is losing ground to a man who develops new roles and practices. Where he is more and more preoccupied with his appearance, he has become more conceited to please himself and / or to show his good aesthetics, increased demand for aesthetic treatments and plastic surgery in order to achieve the ideal body, the female audience was predominant.
AN INTELLIGENT DENGUE HEMORRHAGIC FEVER SEVERITY LEVEL DETECTION BASED ON DEEP NEURAL NETWORK APPROACH

Dengue hemorrhagic fever is one of the most dangerous diseases which often leads to death for the sufferer due to delays or improper handling of the severity that has occurred. In determining that severity level, a specialist analyzes it from the symptoms and blood testing results. This research was developed to produce a system by applying Deep Neural Network approach that is able to give the same analytical ability as a doctor, so that it can give fast and precise decision of dengue handling. The research stages consisted of normalizing data to 0 – 1 intervals by Min-Max method, training data into multilayer networks with fully connected and partially connected schemes to produce the best weights, validating data and final testing. From the use of network parameters as much as 10 input units, 1 bias, 2 hidden layers, 2 output units, learning rate of 0.3, epoch 1000, tolerance rate 0.02, threshold 0.5, the system succeeded in generating a maximum accuracy of 95% in data learning (60 data), 87.5% on data learning and non-learning (40 data), 85% on non-learning data (20 data).
Face Aging Using Deep Convolutional Generative Adversarial Network with Condition

Author(s): Liu, Yingzhu | Advisor(s): Wu, Ying Nian | Abstract: We explore multiple ideas on face aging, and we finally settle down on constructing a Face Reconstruction Convolutional Neural Network and a Feature Vector Encoder. Together with a discriminator on age and a discriminator on the distribution of the feature vectors, we are able to generate the face aging transition both forward and backward for a given face, with a known age and a known gender. We make comment on the effectiveness of the discriminators mentioned above, which are included in the model in order to enhance the performance. Our results have shown that the inclusion of both discriminators are effective in different ways.
A SMARTPHONE-BASED AUGMENTED REALITY SYSTEM FOR UNIVERSITY PHYSICS COURSE

Appears in: EDULEARN19 Proceedings Publication year: 2019Pages: 2691-2694ISBN: 978-84-09-12031-4ISSN: 2340-1117doi: 10.21125/edulearn.2019.0732Conference name: 11th International Conference on Education and New Learning TechnologiesDates: 1-3 July, 2019Location: Palma, Spain
MODERN RUSSIAN YOUTH IN THE INSTITUTIONAL SPACE OF HIGHER PROFESSIONAL EDUCATION

Appears in: EDULEARN19 Proceedings Publication year: 2019Pages: 1062-1065ISBN: 978-84-09-12031-4ISSN: 2340-1117doi: 10.21125/edulearn.2019.0338Conference name: 11th International Conference on Education and New Learning TechnologiesDates: 1-3 July, 2019Location: Palma, Spain
Recovering noise-free quantum observables

We introduce a technique for recovering noise-free observables in noisy quantum systems by combining the results of many slightly different experiments. Our approach is applicable to a variety of quantum systems, but we illustrate it with applications to quantum information and quantum sensing. The approach corresponds to repeating the same quantum evolution many times with known variations on the underlying systems' error properties, e.g., the spontaneous emission and dephasing times ${T}_{1}$ and ${T}_{2}$. As opposed to standard quantum error correction methods, which have an overhead in the number of qubits (many physical qubits must be added for each logical qubit), our method has only an overhead in the number of evaluations, allowing the overhead to, in principle, be hidden via parallelization. We show that the effective spontaneous emission ${T}_{1}$ and dephasing ${T}_{2}$ times can be increased using this method in both simulation and experiments on an actual quantum computer. We also show how to correct more complicated entangled states and how Ramsey fringes relevant to quantum sensing can be significantly extended in time.
Associação do estado civil com a complexidade, gravidade e complicações do primeiro infarto agudo do miocárdio

Objetive: To determine the effects of the association between marital status and the complexity, severity and adverse outcomes following the first acute myocardial infarction. Methods: Cohort study, with 489 patients admitted with acute myocardial infarction in hospitals in the Florianopolis metropolitan area between August of 2016 and March of 2019. Data obtained through patient interview and medical records revision, analyzed using the software Statistical Package for the Social Sciences (SPSS) Version 13.0. Chi-square test or Fisher Exact test were used for qualitative variables. Quantitative variables were compared using the t test for independent samples or Mann-Whitney’s U test, using variance analysis (ANOVA) with Bonferroni post hoc. For the evaluation of outcomes in 30 days, logistic regression was used with the inclusion of cardiovascular risk factors with a 95% Confidence Intervals. The significance level was p<0,05. Results: Single patients presented greater odds ratio of thrombosis in 30 days when compared to the other groups (OR=12,68) (p=0,008), while married patients were less likely to be readmitted after hospital discharge (OR=0,44) (p=0,034). Marital status showed no statistical difference between the complexity or severity of the first acute myocardial infarction. Conclusion: Marital status has an impact in the occurrence of intrastent thrombosis and hospital readmission after acute myocardial infarction, possibly reflecting differences in social support and its influence in therapeutic management and medication adherence.
LibGuides: * Ashland Theological Seminary Library: OhioLINK and Interlibrary Loan

Research LibGuide for Ashland Theological Seminary students. We are a Graduate Division of Ashland University.
Degrees of extensionality in the theory of Böhm trees and Sallé's conjecture.

The main observational equivalences of the untyped lambda-calculus have beencharacterized in terms of extensional equalities between B\ohm trees. It iswell known that the lambda-theory H*, arising by taking as observables the headnormal forms, equates two lambda-terms whenever their B\ohm trees are equal upto countably many possibly infinite eta-expansions. Similarly, two lambda-termsare equal in Morris's original observational theory H+, generated byconsidering as observable the beta-normal forms, whenever their B\ohm treesare equal up to countably many finite eta-expansions. The lambda-calculus also possesses a strong notion of extensionality calledthe omega-rule, which has been the subject of many investigations. It is alongstanding open problem whether the equivalence B-omega obtained by closingthe theory of B\ohm trees under the omega-rule is strictly included in H+, asconjectured by Sall\'e in the seventies. In this paper we demonstrate that thetwo aforementioned theories actually coincide, thus disproving Sall\'e'sconjecture. The proof technique we develop for proving the latter inclusion is generalenough to provide as a byproduct a new characterization, based on boundedeta-expansions, of the least extensional equality between B\ohm trees.Together, these results provide a taxonomy of the different degrees ofextensionality in the theory of B\ohm trees.
Introduction to the special issue on the 50th anniversary of IJHCS

This special issue celebrates the 50th anniversary of the International Journal of Human-Computer Studies (IJHCS), which published its first volume in January 1969. The special issue comprises 15 contributions from a number of experts in Human-Computer Interaction (HCI) and other areas relevant to IJHCS. These contributions are best characterized as ‘landscape papers’, providing insightful analyses about the evolution (i.e., the past, the present and the future) of research areas relevant to IJHCS. The areas covered in this special issue include: the history and scope of the journal; foundational concerns in HCI; critical discussions about the issues surrounding digital living in a variety of areas, from healthcare and cybersecurity to digital games and art; the making of interactive products and services, as seen through the viewpoints defined by research in psychology of programming, end-user development and participatory design; and, finally, the issues associated with adapting to various novel emerging technologies, including automated systems, online personalisation, human augmentations, mixed reality, and sonic interfaces. In this short essay, we introduce the special issue, reflecting on the nature and evolution of the journal, before providing short outlines of each of the contributions to this special issue.
The Development Professional Mobility of a Specialist in the System of Postgraduate Education

In the article consided the prerequisites for the development of professional mobility of a specialist in the system of postgraduate education, caused by changes in the content of the professional activity, the rapid updating of available professional knowledge in the field of tht education. The problem of professional mobility of a specialist in the field of education is very relevant today, as educational institutions need specialists who can effectively use professional knowledge and skills, master the advanced knowledge and innovative technologies of pedagogical work, aspire to professional self-improvement. On the basis of analysis the scientific and theoretical approaches regarding in the essence of the concept professional mobility of a specialist and in connection with the fact that pedagogical activity is system-forming and integrating for all other activities, it is determined that the development of professional mobility of a teacher in the system of post-graduate education is a prerequisite for ensuring professional development and improvement of qualification of the pedagogical personnel in the education system.
ALTERNATIVE WAYS OF TEACHING PROGRAMMING OF LOWCOST CONTROL UNITS (ARDUINO)

Appears in: EDULEARN19 Proceedings Publication year: 2019Pages: 1627-1632ISBN: 978-84-09-12031-4ISSN: 2340-1117doi: 10.21125/edulearn.2019.0479Conference name: 11th International Conference on Education and New Learning TechnologiesDates: 1-3 July, 2019Location: Palma, Spain
DEEP LEARNING IN PERSONALIZED MEDICINE: APPLICATIONS IN PATIENT SIMILARITY, PROGNOSIS, AND OPTIMAL TREATMENT SELECTION

Author(s): Norgeot, Beau | Advisor(s): Butte, Atul J | Abstract: Two information technology revolutions are colliding in medicine. The first revolution has been the digitalization of health data, specifically Electronic Health Records (EHR). These records contain the details of who we are as patients, our ailments, treatments, and outcomes. Tragically, despite billions of dollars in investment from the US government, hardly any of this data is being utilized to better understand medicine or improve healthcare. This is largely because the data is voluminous, sparse, complex, and poorly formatted; making it unsuitable for traditional analytics methods. However the second revolution, modern Artificial Intelligence, specifically deep learning, provides tools, in the form of algorithms, to address exactly these problems. The primary difference between these modern algorithms and older ones is that the former are able to learn, more or less on their own, how to transform large complex data into a format that makes it easier to use and learn from. In this dissertation, I have developed methods to apply deep learning to digital health data. Doing so, I have shown that we can predict the future health of individual patients with highly complex diseases, produced approaches to understand and leverage what these complex models are learning, and provided a framework for how healthcare systems of the near future could automatically learn to improve care daily. For the first time in history, we are in a position to learn from the combined knowledge of tens of thousands of physicians and their experiences caring for hundreds of millions of patients. The potential transformations to healthcare are difficult to fully fathom, but certainly include safer, more powerful and efficient medicine, and a rapid speed up in new medical discoveries and treatments. Despite the promise, we must proceed carefully, balancing the great need to collectively use our data for better medicine with the individual right to privacy.
SRI AUROBINDO’S EDUCATION POLICY IN PRE AND POST COLONIAL INDIA

The greatest educationalist, those who played important roles in designing education systems have, in their quest to develop ideal processes and structure of education. The new pedagogy of national education impels a further realization of the potentialities of the child and its soul, a realisation that was explicitly stated in the writings of the nationalist leaders who inspired and led the movement of national education in India. In this paper I have tried to revisit the philosophy of education of Sri Aurobindo who tried to provide solution to the problem generated by Macaulayan education system in India during pre and post-colonial period.
OPEN AIR LESSONS – MYTH OR NOT…

Appears in: EDULEARN19 Proceedings Publication year: 2019Pages: 1098-1106ISBN: 978-84-09-12031-4ISSN: 2340-1117doi: 10.21125/edulearn.2019.0348Conference name: 11th International Conference on Education and New Learning TechnologiesDates: 1-3 July, 2019Location: Palma, Spain
IDENTIFIKASI PERLINDUNGAN ARSIP STATIS TERHADAP BENCANA KEBAKARAN: STUDI KASUS DI ARSIP NASIONAL REPUBLIK INDONESIA

This study discusses the protection of static archives against fire disasters in the ANRI. Static archive protection is needed because the static archive has historical and national values. Moreover, the archive collection owned by ANRI is approximately 13,232 conventional archives and 8,080 new media archives. If the archive owned by ANRI is lost due to a disaster, the loss is not only felt by the institution but by the Indonesian. Not only archives that must be considered but the building or building where the archive is stored also needs attention. Buildings must be designed to store and protect archives from disasters. One of the disasters that caused many losses both soul and material was fire. For this reason, this study aims to identify the protection of static records against fire disasters at the National Archives of the Republic of Indonesia, especially in the Directorate of Preservation. This study uses a qualitative approach to the case study method. Data collection methods used are observation and interview. The 11 informants were selected using purposive sampling method, with criteria of staff who formulated, implemented and fostered the field of preservation at ANRI. Static archive protection against fire disasters in ANRI cannot be considered as a small disaster risk because it will cause loss in the static archive collection that is owned. Protection is needed through the stages of prevention, preparation, reaction and recovery. Routine checks must be carried out on tools, training regularly, and special teams are made with clear job descriptions in case of a fire disaster.
Future Trends of Blockchain and Crypto Currency: Challenges, Opportunities, and Solutions

The blockchain and crypto currency has become one of the most essential components of a communication network in the recent years. Through communication networking, we browse the internet, make VoIP phone calls, have video conferences and check e-mails via computers. A lot of researches are being conducting to address the blockchain and crypto currency challenges in communication networking and provide corresponding solutions. In this paper, a diverse kind of novel research works in terms of mechanisms, techniques, architectures, and frameworks have been proposed to provide possible solutions against the existing challenges in the communication networking. Such novel research works involve thermal load capacity techniques, intelligent sensing mechanism, secure cloud computing system communication algorithm for wearable healthcare systems, sentiment analysis, optimized resources.
BUILDING CHARACTER THROUGH STORY TELLING IN CHILDREN’S LITERATURE

One of literary works that can be used for building children's character is literature strory telling. Variety of interesting stories from a fairy tale, a child can begin to understand what friendship is, and feelings of affection punishment that can be obtained from antagonists. Story telling with children's Literature can develop children's knowledge, education and critical thinking. Good ethical and moral values can be embedded automatically spur child development. Making children more confident in socializing by fostering children's creative imagination in critical thinking so that children will be accustomed to doing things that behave positively because of character education provided by parents without realizing the child. Story of the mouse deer stealing cucumber which teaches the value of honesty, strategy or tactics for the cleverness of the mouse deer when tricking the dog, until the punishment value or punishment must be received by the mouse deer when caught by farmers using scarecrows. Children's education can begin to be implanted since children are in their golden age, so that Children's literature can instill, grow, and develop an important role in the character of children.
IMPORTANCE OF LOGICAL-MATHEMATICAL ALGORITHMS IN SCHOOL MATHEMATICS

Appears in: EDULEARN19 Proceedings Publication year: 2019Pages: 4482-4489ISBN: 978-84-09-12031-4ISSN: 2340-1117doi: 10.21125/edulearn.2019.1124Conference name: 11th International Conference on Education and New Learning TechnologiesDates: 1-3 July, 2019Location: Palma, Spain
Pose Estimation of a Single Circle Using Default Intrinsic Calibration

Circular markers are planar markers which offer great performances for detection and pose estimation. For an uncalibrated camera with an unknown focal length, at least the images of at least two coplanar circles are generally required to recover their poses. Unfortunately, detecting more than one ellipse in the image must be tricky and time-consuming, especially regarding concentric circles. On the other hand, when the camera is calibrated, one circle suffices but the solution is twofold and can hardly be disambiguated. Our contribution is to put beyond this limit by dealing with the uncalibrated case of a camera seeing one circle and discussing how to remove the ambiguity. We propose a new problem formulation that enables to show how to detect geometric configurations in which the ambiguity can be removed. Furthermore, we introduce the notion of default camera intrinsics and show, using intensive empirical works, the surprising observation that very approximate calibration can lead to accurate circle pose estimation.
Developing student understanding of place value and supporting teachers' confidence in teaching place value via a digital tool

This article describes Ulrich Kortenkamp's Place Value Chart app and the accompanying teacher guide developed by the members of an international research team led by regular contributor Kevin Larkin.