Reviewerly/exHarmony huggingface dataset:
A new free software to reconstruct stress trajectories:&amp;#160;the Atmo-stress service&amp;#160;

&amp;lt;p&amp;gt;The reconstruction of present-day stress and palaeostress trajectories is of paramount importance to study the tectonic regime and its evolution, in a specific area. Its comprehension is crucial also for seismic and volcanic hazard assessment, especially focusing on the shallow crust.&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;In the framework of the NEANIAS project (https://www.neanias.eu/), EU H2020 RIA, it has been developed the so called ATMO-Stress service (https://docs.neanias.eu/projects/a2-1-service/en/latest/), an open-source cloud service, currently hosted on the GARR Kubernetes platform, which allows to calculate stress trajectories in plain view, based on the concepts from Lee and Angelier (1994). It is designed to run on modern computers for both academics and non-academics purposes, spanning from research activity to oil and gas industries, natural hazard prevention and management.&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;The service is freely accessible at https://atmo-stress.neanias.eu/ and is designed to calculate the stress trajectories for a specific area, considering as input the same type of stress (e.g. &amp;amp;#963;&amp;lt;sub&amp;gt;Hmax&amp;lt;/sub&amp;gt; or &amp;amp;#963;&amp;lt;sub&amp;gt;Hmin&amp;lt;/sub&amp;gt;). Data input can be from different sources (e.g. field data, focal mechanism solutions, in-situ geotechnical measures). They must be listed in a homogeneous ASCII text file or Excel file format, including the geographic coordinates, azimuth of the stress and the angular error. The service is capable of processing data from local to regional scale. Following the principles from Lee and Angelier (1994), the trajectory calculation can be done using different parameters and settings. The outputs can be seen directly on the website and can be downloaded with file formats ready to be imported and analyzed in GIS environment and Google Earth.&amp;lt;/p&amp;gt;
The effect of storage time on the whole blood (WB) quality at the blood bank of Dr. Soetomo general hospital

Several changes occur during whole blood (WB) storage in the blood banks. The structure of erythrocytes and thrombocytes changes, and their viability decreases. Leukocyte degradation causes the release of cytokines and enzymes that can trigger a transfusion reaction. In addition, a decrease in pH will damage the WB components. The coagulation factors will be degraded during the storage process. All of these changes will impact the WB quality and the recipient. Therefore, this study aims to analyze the effect of storage time on WB quality. This research employed an analytical study with a time series design conducted at the Clinical Pathology Installation and Blood Bank at Dr. Soetomo General Hospital, Surabaya, on February-June 2020. The researchers utilized a sample of sixteen WB bags. The sample will be tested with several examinations, including a complete blood count examination (to determine the number of erythrocytes, leukocytes, thrombocytes, and hemoglobin), the coagulation examination (to determine PPT and APTT), and a BGA examination (to determine pH, pO2, and pCO2). All parameters were checked on day 0, day 5, day 10, day 20, and day 30.
Security and Privacy of Contact Tracing Protocols for COVID-19

Contact tracing is a way to track people who have been in contact with infected patients of COVID-19 and thereby effective control is achieved. Various countries have developed their own contact tracing applications which deploy the same or different protocol. It is of utmost importance to improve public awareness on the potential hidden risks of the respective protocols and applications and instill user confidence. The purpose of this research is to study the security and privacy of the existing contact tracing protocols to ensure that the security and privacy of users can be guaranteed. The protocols used by the applications include DP-3T protocol, TCN protocol, PEPP-PT protocol and BlueTrace protocol. The architecture of the protocols can be classified into centralised and decentralised architectures. In addition, the contact tracing applications in seven selected countries will be briefly analysed and compared. Some common user concerns are also outlined.
Moment matching training for neural machine translation: An empirical study

In recent years, Neural Machine Translation (NMT), which harnesses the power of neural networks, has achieved astonishing achievements. Despite its promise, NMT models can still not model prior external knowledge. Recent investigations have necessitated the adaptation of past expertise to both training and inference methods, resulting in translation inference issues. This paper proposes an extension of the moment matching framework that incorporates advanced prior knowledge without interfering with the inference process by using a matching mechanism between the model and empirical distributions. Our tests show that the suggested expansion outperforms the baseline and effectively over various language combinations.
FAIRNESS Project - FAIR NEtwork of micrometeorological measurements

&amp;lt;p&amp;gt;Reliable and sufficient knowledge on environmental conditions delivered from micrometeorological and microclimatological data plays a central role in assessing and modelling trends and effects of climate change and adverse weather on the environment. Enormous efforts have already been made to centralise data from ground-based and satellite measurements and to make them available for public use. However, beyond specific initiatives, they are still missing one very important component &amp;amp;#8211; micrometeorological data, i.e. data addressing meteorological conditions of microenvironment that is open and available for various application potentials and user groups.&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;Micrometeorological data are usually collected as part of scientific projects and observational networks developed for different purposes, but they often &amp;amp;#8220;languish&amp;amp;#8221; in reports and institutional data storages. To address this shortfall, FAIRNESS Cost Action will establish &amp;lt;strong&amp;gt;micrometeorological knowledge share platform&amp;lt;/strong&amp;gt; &amp;lt;strong&amp;gt;(Micromet_KSP)&amp;lt;/strong&amp;gt; to communicate: a) compiled inventory of available and quality proven micrometeorological in situ data sets on the European level and beyond, b) measurement and data management recommendations designed to meet FAIR principles and avoid temporal and spatial gaps, c) examples of rural and urban FAIR data sets and d) Q&amp;amp;A exchanged between Action members, stakeholders, specialised user groups and general public.&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;FAIRNESS targets are, primarily, networks of Automated Weather Stations installed in urban, sub-urban and rural areas which are in charge of dedicated projects, specialised agencies, regional or national government offices for specific applications in the sectors of urban-, forest-, and environmental meteorology and agrometeorology. Addressing identified challenges requires an effective transboundary network of researchers, stakeholders, and civil society to identify and fill knowledge gaps, standardize, optimize, and promote new environmental-tailored measurement and control procedures, enhance research effectiveness and improve dissemination.&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;FAIRNESS consortium includes 65 partners from 28 countries in Europe, Asia, Australia, and North America, and invites interested stakeholders and/or data contributors to join the project during its realization (2021-2025).&amp;lt;/p&amp;gt;
Beyond HTTPS and the Cloud: Building a Safe and Secure Web Resource for DACA and Undocumented Students

In 2016 and 2017, after the election of Donald Trump, the Deferred Action for Childhood Arrivals (DACA) program was in danger of being suspended or revoked entirely. This left many Oregon State University students in legal limbo, impacting their success as students as well as their ability to pay for college. The Department of Homeland Security, especially the small department Immigration and Customs Enforcement (ICE), ballooned in influence with the new administration. Trump had made anti-immigration a cornerstone of his campaign and that did not slow down once he took office. Undocumented students were now staring down new legal and financial challenges that were well outside their (and university) control. The university needed to respond quickly to changes in immigration policy, aid students who were struggling, and have one central location for advisors and students to find resources.&#x0D; The Oregon State University (OSU) library got involved in the university's effort to help DACA and undocumented students. At the time, relevant resources were siloed across campus, so it was difficult for students to know what resources were available. Even advisors couldn't navigate the various systems. For example, on the OSU website, the Admissions page and Student Legal Services page both had relevant information, but they didn't refer back to one another. To help resolve this problem, the library offered to gather the resources distributed across campus for undocumented and DACA students.&#x0D; After the resources were collected, I was approached by one of the librarians on the project to develop a more permanent technical solution. I'm a website developer for the OSU Valley Library. Just like most smaller libraries, the Valley Library relies on third-party vendors for many services; however, my department also creates custom web solutions for the library. Because this project required special privacy and security provisions for this vulnerable student population, the library opted for a custom solution.
Visual Representation of Literacy Stats of South India through Tabluea

This application is a simple data presentation about the analysis of literacy rate of south India over past 5 decades. Literacy rate is a key factor for analyzing development of a particular region. It is quite difficult to gather such information .To get such data one should go through several websites and spend a lot of time to analyze it but our application provides a detailed analysis with multiple graphs which are easily understandable by everyone. Our application provides literacy trends of south India on various scales such as male and female literacy rates, most recent records of particular state and literacy rate stats over past 5 decades in a very effective way. One can get a detailed knowledge on literacy rates of south India with a glance at our application.
Use of Mobile Library Services and Technology

The uses of internet through mobile phones and smart phones day by day. Digital technology has provided faster access to information. Today mobile phones are becoming an integral part of everyday life are changing the way one connects the words. Mobile technology are also explores the type of infrastructure required by the libraries for providing these services in libraries. The paper discusses on the need, advantages, applications for libraries and disadvantages etc. Use and application of mobile technology in libraries. Mobile application and lib services through mobile technology.
Development and application of city information modeling technology in urban construction

With the development of BIM(Building Information Modeling) technology, CIM(City Information Modeling) is accompanied by the development of Internet of Things technology, and the development of CIM has become an academic hotspot. In recent years, due to the limitations of BIM and CAD, it is impossible to transform the spatial and temporal relationship information well. Therefore, the emergence of CIM represents the progress of the construction industry, especially the integration of BIM and CIM makes it complementary, which can maximize the construction of smart cities.
Optimal Colour Image Watermarking Using Neural Networks and Multiobjective Memetic Optimization

This paper deals with the problem of robust and perceptual logo watermarking for colour images. In particular, we investigate trade-off factors in designing efficient watermarking techniques to maximize the quality of watermarked images and the robustness of watermark. With the fixed size of a logo watermark, there is a conflict between these two objectives, thus a multiobjective optimization problem is introduced. We propose to use a hybrid between general regression neural networks (GRNNs) and multiobjective memetic algorithms (MOMA) to solve this challenging problem. Specifically, a GRNN is used for efficient watermark embedding and extraction in the wavelet domain. Optimal watermark embedding factors and the smooth parameter of the GRNN are searched by a MOMA for optimally embedding watermark bits into wavelet coefficients. The experimental results show that the proposed approach achieves robustness and imperceptibility in watermarking.
Enabling a superior AR experience with high performance waveguides

We believe we are in the early stages of AR, and that the solutions to enable the user experience needed to drive mass adoption will be more sophisticated that currently available. This talk shares some of the technologies we are developing to enable the all-day augmented reality glasses we want to wear.
Blockchain Applied To Network Science: Toward Implementing Multilevel

&nbsp; The annual ConV2X is a leading international health tech symposium driving real world evidence, strategy, research, operations and trends to create a blueprint for a new digital health era. The 2021 symposium&nbsp;featured a scientific program of academic/research presentations in addition to business and industry talks. The research track&nbsp;focused on exploring and sharing developments in blockchain and emerging technologies in health and clinical medicine. Submissions were based on original research, conceptual frameworks, proposed applications, position papers, case studies, and real-world implementation. Selection was based on a peer-review process. Faculty, students, and industry researchers were encouraged to submit abstracts to present&nbsp;ideas before an informed and knowledgeable audience of industry leaders, policy makers, funders, and researchers. This presentation was selected by the scientific review committee. Submission Review Committee Dave Kochalko, CEO of ARTiFACTS Anjum Khurshid, UT Austin Carlos Caldas, UT Engineering Gil Alterovitz, Harvard Medical School Kayo Fujimoto, UT Health Houston Lei Zhang, University of Glasglow Sean Manion, CSciO of ConsenSys Health Vijayakuman Varadarajan, University of South Wales Vikram Dhillon, Wayne State University Yuichi Ikeda, Kyoto University &nbsp
A Comparative Analysis on Cybersickness Reduction Guidelines in VR and IVR Applications for Children Road Safety Education

Nowadays, developing Virtual Reality (VR) and Immersive Virtual Reality (IVR) application is one of the alternative support tools used to support children in learning road safety education. At early stage of VR/IVR application development, cybersickness was one of the main concerns that occur in both non-immersive and immersive environment that include both VR platforms which are Mobile and Tethered. This is because it involves inconsistencies between visual and physical movement in the virtual environment. Thus, the primary concern of this study is to explore and identify appropriate design guidelines in reducing cyber and simulator sickness in developing VR/IVR application for both platforms which employed in previous research. In accordance, 14 studies have been selected for review in a comparative analysis. The findings of this study discuss the appropriate cybersickness reduction design guidelines and principle that applicable and beneficial in the development process of the VR/IVR application and respectively reducing the cybersickness effect
Binary Lessons in Physics and Astronomy

By integrating STEM activities in students’ learning areas, the children have the opportunity to develop the skills needed to adapt to a dynamically evolving pragmatic and technological environment. The skills developed through STEM provide them with a solid foundation for success, both in school and in real life. The biggest advantage of STEM is the unification of the individual disciplines of the curriculum. It is very appropriate to use binary lessons. The binary lesson is a work of two teachers, which grows into a creative process of the students. Why? Because it is always interesting on the border of science, because the activities there cause high motivation. This is the main goal of education – to engage students, to provoke creative search and cognitive activity.
Privacy-Preserving Sharing of Mobile Sensor Data

To personalize modern mobile services (e.g., advertisement, navigation, healthcare) for individual users, mobile apps continuously collect and analyze sensor data. By sharing their sensor data collections, app providers can improve the quality of mobile services. However, the data privacy of both app providers and users must be protected against data leakage attacks. To address this problem, we present differentially privatized on-device sharing of sensor data, a framework through which app providers can safely collaborate with each other to personalize their mobile services. As a trusted intermediary, the framework aggregates the sensor data contributed by individual apps, accepting statistical queries against the combined datasets. A novel adaptive privacy-preserving scheme: 1) balances utility and privacy by computing and adding the required amount of noise to the query results; 2) incentivizes app providers to keep contributing data; 3) secures all data processing by integrating a Trusted Execution Environment. Our evaluation demonstrates the framework’s efficiency, utility, and safety: all queries complete in <10 ms; the data sharing collaborations satisfy participants’ dissimilar privacy/utility requirements; mobile services are effectively personalized, while preserving the data privacy of both app providers and users.
Design and development of a smart blind walking stick using machine learning

Visually impaired people are often subjugated under extreme circumstances even in their day-to-day life. The daily requirements of a common man appear to be an impediment in their routine life. Simplest of tasks like walking, eating, bathing, conversing and even eating is of utmost difficulty to them. Moreover, with such difficulties their only way-out seems to be dependency on the privileged lot, which further diminishes their confidence in themselves and gradually makes them even more dependent. The conventional devices that are used by visually impaired people include basic walking sticks which fail at the job in hand by not providing adequate stabilisation on rough surfaces and misguiding the users into unfavourable conditions. There is no way for the person to know what the object in front of them is without hitting it with the stick, which could also lead to accidents. To solve these problems, a smart walking stick is developed which not only recognises the object in front of it using Machine Learning (ML) models, but also gives a voice output to alert its user about the particular object thereby limiting the chance of any and all accidents. The concept is realised in hardware and integrated to the walking stick. This helps in stabilisation of phone and to produce better results in object identification. Further an application is developed to alert the user by converting the obtained image into a voice messages.
Pedagogical Interaction Parents – Children – Teachers – a Basis for the Full Development of the Child's Personality in Preschool Age

The article deals with the pedagogical interaction parents – children – teachers as a basis for the full development of children's personality in preschool age. The key to successful kindergarten-family cooperation is positivity in the teacher-child-parent relationship. Teamwork is the key to a successful partnership, so that the child can become a responsible person striving for intellectual, emotional and social development. In this context, emphasis is placed on the use of complementary forms of pedagogical interaction, innovative forms and methods, teacher-parent collaboration. Educators use their ideas, knowledge and professional experience and thus achieve a successful cooperation and efficiency in communication and joint work with parents. Involving parents in the activities of the group stimulates children to be more confident and to develop their creative potential.
Early Breast Cancer Detection from Blood Plasma Using Hubness-Aware Adaptive Neural Network with Hybrid Feature Selection

Breast cancer is a complex and heterogeneous disease prevalent amongst women leading to mortality. Breast cancer diagnosis at the early stages of tumour development can increase the survival rate of women suffering from breast cancer. The most prevalent mammogram method for early screening of breast cancer results in a greater number of false positives for breast cancer detection in young women. Latest research in the field of genomics suggests that microRNAs (miRNAs) of circulating tumour cells, and gene expressions of circulating tumour cells in blood plasma are good candidate for the detection of breast cancer during early stages of cancer. Hence, it is proposed to develop a diagnostic machine learning model for early detection and effective treatment from the gene expression values of miRNA. Since gene expression data are complex and high dimensional, a hybrid feature selection is performed using molecular pathway information, and gene ontology information related to breast cancer and also most informative genes are selected using Laplacian score feature ranking. For the classification of samples into tumour and normal samples, a novel improved artificial neural network (ANN), namely hubness-aware adaptive neural network (HAANN) with adaptive learning rate is implemented. A novel strategy based on hubness score is adapted to adjust the learning rate of the neural network dynamically. Performance analysis of the proposed machine learning shows an improved performance compared to the traditional classification algorithms for intrinsic high-dimensional data.
Foreword to the Special Section on the International Conference on Artificial Reality and Telexistence &amp; Eurographics Symposium on Virtual Environments (ICAT-EGVE 2020)

• Body ownership and social presence is not significantly impacted by facial anthropomorphism in CVEs. • In embodiment studies, virtual threats could have an impact on participants behavior. • GAN-based models could generate frictional-coefficient signals for electrotactile simulation.