Reviewerly/exHarmony huggingface dataset:
DxChain: Blockchain Based Smart and Indestructible Diagnosis Reporting System

Proper treatment of a disease is taken only by recognizing the main reasoning factors and symptoms. Different types of diagnostic tests and its result point out the main factors of a disease. Any kind of shortcoming and fault information by the diagnostic center knock down the proper treatment and endanger the patient’s life. Medical reports are very highly sensitive records. The demand for accurate and reliable data always been more important. Electronic Health Record technologies also grave privacy threats and data transfer and data storage security concerns. In this paper, we have proposed a blockchain-based system under 5g network which is the resolver way of the above challenges where the Advanced Encryption Standard (AES) method and Blockchain together provide privacy, confidentiality, integrity and reliability for the diagnosis reports. The patient and Doctors can easily get the accurate report any time from one or more diagnosis centers without any hitch. Using the 5g network, the diagnosis center’s data transferring scheme will become more efficacious and fruitful.
ENHANCED NEAREST GROUP QUERY OPTIMIZATION WITH DATA ANALYTICS IN GEOLOCATION DATA

Spatial data is the process of discovering interesting and previously unknown, but potentially useful patterns from large spatial dataset Extracting interesting and useful patterns from Google spatial datasets is extracting the corresponding patterns from traditional numeric and categorical data thanks to the complexity of spatial data types, spatial relationships, and spatial autocorrelation. Spatial data is about instances located during a physical space. When spatial information becomes dominant interest, spatial data processing should be applied. Spatial data structures can facilitate spatial mining. Standard data mining algorithms are often modified for spatial data mining, with a considerable part of pre-processing to require under consideration of spatial information. Initially the set of knowledge points, containing the keyword information of the query object and therefore the query keyword should tend by the User. By Group Nearest query, each nearest point matches a minimum of one among the query keywords of the User. Next, the user wants to rank the selected locations with respect to the sum of distances to nearest interested facilities. As a result, the best location can be obtained from the minimized summed Distance calculation.
Distributed continuous home care provisioning through personalized monitoring & treatment planning

In healthcare, the aging of the population is resulting in a gradual shift from residential care to home care, requiring reliable follow-up of elderly people by a whole network of care providers. The environment of these patients is increasingly being equipped with different monitoring devices, which allow to obtain insight into the current condition of patient & environment. However, current monitoring platforms that support care providers are centralized and not personalized, reducing performance, scalability, autonomy and privacy. Because the available data is only exposed through custom APIs, profile knowledge cannot be efficiently exchanged, which is required to provide optimal care. Therefore, this paper presents a distributed data-driven platform, built on Semantic Web technologies, that enables the integration of all profile knowledge in order to deliver personalized continuous home care. It provides a distributed smart monitoring service, which allows to locally monitor only the relevant sensors according to the patient’s profile, and infer personalized decisions when analyzing events. Moreover, it provides a medical treatment planning service, which composes treatment plans tailored to each patient, including personalized quality of service parameters allowing a doctor to select the optimal plan. To illustrate how the platform delivers these services, the paper also presents a demonstrator using a realistic home care scenario.
How prediction statistics can help us cope when we are shaken, scared and irrational

&amp;lt;p&amp;gt;Nature is scary. You can be sitting at your home and next thing you know you are trapped under the ruble of your own house or sucked into a sinkhole. For millions of years we have been the figurines of this precarious scene and we have found our own ways of dealing with the anxiety. It is natural that we create and consume prophecies, conspiracies and false predictions. Information technologies amplify not only our rational but also irrational deeds. Social media algorithms, tuned to maximize attention, make sure that misinformation spreads much faster than its counterpart.&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;What can we do to minimize the adverse effects of misinformation, especially in the case of earthquakes? One option could be to designate one authoritative institute, set up a big surveillance network and cancel or ban every source of misinformation before it spreads. This might have worked a few centuries ago but not in this day and age. Instead we propose a more inclusive option: embrace all voices and channel them into an actual, prospective earthquake prediction platform (Kamer et al. 2020). The platform is powered by a global state-of-the-art statistical earthquake forecasting model that provides near real-time earthquake occurrence probabilities anywhere on the globe (Nandan et al. 2020). Using this model as a benchmark in statistical metrics specifically tailored to the prediction problem, we are able to distill all these voices and quantify the essence of predictive skill. This approach has several advantages. Rather than trying to silence or denounce, we listen and evaluate each claim and report the predictive skill of the source. We engage the public and allow them to take part in a scientific experiment that will increase their risk awareness. We effectively demonstrate that anybody with an internet connected device can make an earthquake prediction, but that it is not so trivial to achieve skillful predictive performance.&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;Here we shall present initial results from our global earthquake prediction experiment that we have been conducting on www.richterx.com for the past two years, yielding more than 10,000 predictions. These results will hopefully demystify the act of predicting an earthquake in the eyes of the public, and next time someone forwards a prediction message it would arouse more scrutiny than panic or distaste.&amp;lt;br&amp;gt;&amp;lt;br&amp;gt;Nandan, S., Kamer, Y., Ouillon, G., Hiemer, S., Sornette, D. (2020). &amp;lt;em&amp;gt;Global models for short-term earthquake forecasting and predictive skill assessment&amp;lt;/em&amp;gt;. European Physical Journal ST. doi: 10.1140/epjst/e2020-000259-3&amp;lt;br&amp;gt;Kamer, Y., Nandan, S., Ouillon, G., Hiemer, S., Sornette, D. (2020). &amp;lt;em&amp;gt;Democratizing earthquake predictability research: introducing the RichterX platform.&amp;lt;/em&amp;gt; European Physical Journal ST. doi: 10.1140/epjst/e2020-000260-2&amp;amp;#160;&amp;lt;/p&amp;gt;
Virtual Reality (VR) in Pediatrics: Innovative Perspectives With Special Reference To Clinical Applications and Pediatric Rehabilitation

Virtual reality (VR) is the term used to describe representation and perception in a computer-generated, virtual environment. The term was coined by author Damien Broderick in his 1982 novel “The Judas Mandala". The term "Mixed Reality" describes the mixing of virtual reality with pure reality. The term "hyper-reality" is also used. Immersion plays a major role here. Immersion describes the embedding of the user in the virtual world. A virtual world is considered plausible if the interaction is logical in itself. This interactivity creates the illusion that what seems to be happening is actually happening. A common problem with VR is "motion sickness." To create a sense of immersion, special output devices are needed to display virtual worlds. Here, "head-mounted displays", CAVE and shutter glasses are mainly used. Input devices are needed for interaction: 3D mouse, data glove, flystick as well as the omnidirectional treadmill, with which walking in virtual space is controlled by real walking movements, play a role here.
POS1496-HPR IS NUTRITIONAL FOLLOW-UP IN PATIENTS LIVING WITH RHEUMATOID ARTHRITIS BETTER WITH TELECONSULTATION? - EXPERIENCE BEFORE AND AFTER PANDEMIC

Background: Nutritional follow-up as part of the integral attention for patients living with rheumatoid arthritis (RA) has been limited due to the COVID-19 pandemic. It made necessary to implement a remote monitoring for the care of the patients and to evaluate the outcomes of the changes in the care model. Objectives: To identify the effects of the telemonitoring intervention within the pandemic scenario and the outcomes of the traditional face-to-face nutrition consultation. Methods: A retrospective analysis of health records and the administrative data base of the patient’s follow-up, between 2019 and 2020, was developed at the arthritis specialized center of the Santa Fe de Bogotá Foundation in Bogotá, Colombia. The outcomes measured include the number of visits per year and the proportion of patients who attend their nutritional follow-up by telemonitoring in 2020 vs patients attending to face-to-face nutrition consultation. Differences in the Body Max Index (BMI) and the changes based on eating habits, defined by the quality of food consumption per day, were also measured. Results: A total of 212 patients from 2020 and 179 from 2019 were analyzed; An increase of 61.5% in the number of consultations, using nutritional telemonitoring per year, was identified in 2020 (n=412) compared to 2019 (n=255). In patients followed from 2019 to 2020, 13% (10/77) experienced an increase of more than 2 units of their BMI, while 22% (17/77) showed a decrease; in 2% of patients was not possible to evaluate their current weight; in the same way, 49% (103/212) in 2020 showed a positive change in their feeding habits compared with a 12% (21/179) in 2019. 135 new patients were recruited for nutritional telemonitoring 2020. Conclusion: Nutritional telemonitoring to follow-up patients with RA has increased considerably in terms of consultations per year and changes in the feeding habits. However, more evaluation is required for this model. References: [1]Melanie J Martin, Nora Ng, Laura Blackler, Toby Garrood, P227 Remote monitoring of patients with RA: a user-centred design approach, Rheumatology , Volume 59, Issue Supplement_2, April 2020, keaa111.221, https://doi.org/10.1093/rheumatology/keaa111.221 [2]Principio del formulario Disclosure of Interests: None declared
The Effectiveness of Designing an Adaptive-Learning system Based on Stretch Text Content in Developing English Reading Skills of EFL University Students in K.S.A

This research aimed at measuring the effectiveness of designing an adaptive-learning system based on stretch text content for developing English reading skills of EFL Students in KSA. The Participants were 60 students from English, Law and Computer Science departments in Mustaqbal University in KSA. They had difficulty in reading skills that was clear in the pilot study results. The research tools were Pre-posttest, a questionnaire, reading skills checklist and the reading program. The experimental group (N 30) used the reading program that is based on stretch text technique to develop their reading skills, whereas the control group (N30) was taught through traditional or conventional technique. The pre-posttests were comprised of three different reading passages. This research is limited to the following six reading skills; vocabulary expansion when reading, sentence construction and cohesion, decoding, reasoning and background knowledge, working memory, and fluency. The results of the t-test analysis revealed that stretch text technique yielded significant effects on developing students' reading skills, i.e. the experimental group outperformed the control group.
Probing the damage zone on the San Andreas Fault at Parkfield

&amp;lt;p&amp;gt;Rocks are heterogeneous materials that exhibit nonlinear elastic (anelastic) behavior in both the laboratory and Earth. In the laboratory, investigators have observed complex relationships between stress and strain that include hysteresis, finite relaxation times, and rate and stress path dependence.&amp;amp;#160; These behaviors are linked to stress, porosity, permeability, material integrity and material failure, many of the characteristics we care about in the upper crust.&amp;amp;#160; A limited number of studies in the Earth have confirmed that nonlinear elasticity can be measured in situ, but due to logistical challenges these investigations have not achieved the full potential of what can ultimately be learned from this type of investigation.&amp;amp;#160; We adapted a &amp;amp;#8216;pump-probe&amp;amp;#8217; type experiment common in laboratory studies, using solid earth tides as the low frequency pump and empirical Green&amp;amp;#8217;s function as the high frequency probe.&amp;amp;#160; By probing the velocity at different points in the pump cycle, we constrain some important information about the stress-strain relationship.&amp;amp;#160; Near the San Andreas Fault, we observe strongly nonlinear elastic behavior that increases with decreasing distance to the fault that characterizes the damage zone.&amp;amp;#160; We also constrain important aspects of hysteretic behavior that are related to damage properties and possibly pore pressure.&amp;lt;/p&amp;gt;
Comparison Performance Evaluation of Different Classifiers on Segmented Mammogram Clusters

In image processing technique a high resolution images are needed for segmentation and detection and, to interpret the regions in image a high technical tool and skilled personal is needed. Recently many improvements are achieved in this area but still there are some challenges remaining in this direction for better algorithms in detection and segmentation process. The image segmentation method is often used in the processing of medical images. The recent image segmentation procedures incorporate region based segmentation; edge detection segmentation; segmentation depends on clustering. And there also exists number of algorithms to determine the segmented region for detection. This paper deals with a novel technique to compare some special algorithms. The segmented images are undergone for performance evaluation with different algorithms to compare their detection ability. These analysis and summary evaluates and estimates the plus and minus of different algorithms in the image segmentation process. Finally, we can make out the accurate outcome of the development trend in image segmentation with the combination of these algorithms.
Validation and Optimization of Vulnerability Detection on Web Application

The evolution of recent technology has resulted in massive usage of web applications. Millions of businesses use web as low-priced means of verbal exchange with over million internet users today. The worldwide nature of Internet exposes internet packages to be attacked from different locations with diverse degrees of scale and complexities. Hence, security of such web applications becomes an important aspect. This paper discusses about a user-friendly system which will help in detection of top 10 vulnerabilities as proposed by Open Web Application Security Project (OWASP) in 2019 [10] in web applications and also validate its performance according to a standard dataset. The tool will have sections for different vulnerabilities provided in the user interface. This provides the user liberty to test its web application against any specific attack from the list rather than performing for all attacks which is not required at the time; which we also save user’s time. A detailed report for the concerned vulnerability will be generated, the risks associated will be identified and a descriptive solution for the identified risks will be provided.
Implementasi Exploratory Data Analysis Pada Dataset Video Trending Harian YouTube

YouTube is a video sharing website that allows its users to interact through videos created by video creators (YouTubers).Videos on YouTube can go to the 'Trending' tab that shows videos that are considered trending by YouTube. The YouTube Helpwebsite says that they use many parameters to determine trends. However, YouTube does not specify exact parameters and numbers.Therefore, data analysis was performed on video datasets in three countries namely Canada, the United Kingdom and the UnitedStates using the Exploratory Data Analysis method. Data processing was carried out with Pandas and data was visualized with theMatplotlib, Seaborn, Bokeh, and WordCloud libraries. Work starts from normalizing categorical data, changing the shape of the datainto the desired form, visualizing the data, and taking meaning from the information generated from exploration and visualizationresults. The results of exploration and visualization of data in the form of boxplots, bar charts, line plots, and word clouds showpatterns in the categories and tags contained in videos that discuss trends in the three countries.
놀이중심 교육과정 실현을 위한 보육교사의 ‘교사 협의’ 경험 및 반성적 사고와 실천변화

This study is conducted to improve the expertise of child care teachers and to achieve true child-centered education practices for the realization of the play-centered curriculum in line with the 2019 Revised Nuri Curriculum. The child care teachers’ experiences of voluntary ‘teacher consultation’ and in the process, the changes in their reflective thinking and practice were examined. The study participants were 11 child care teachers from S daycare center located in S city, Chungcheongnam-do. Based on the voluntary decision and participation of the child care teachers, the 'teacher consultation' was conducted by dividing into two groups, the infant class and the child class. The child care teachers, through the 'teacher consultation', reflected and shared their experiences of conflicts and troubles when supporting children's play, which was the starting point of learning to grow. They grew together by exploring better coaching and teaching-learning methods. The child care teachers deeply observed and recorded the play in order to discover the meaning of the play that infants and toddlers immersed in during the ‘teacher consultation’ process. Based on this, the teachers built mutual trust and respect through the process of consulting and coaching with fellow teachers. In addition, this became a driving force for the change to respect for infants and young children, and the child care teachers changed their teaching-learning practices boldly into the direction of recognizing the child-leading plays and of providing new spaces and materials in a new way that supported the children in detail.
Situational Prevention of Cybercrimes: Functions and Achievements in Electronic Procedural and Cybercrimes Procedural Codes

Because situational prevention limited by tools in the cybercrimes, is better than the other prevention methods and its performance stops increasing range of cybercrimes. So finding situational preventions is statutory articles and amplifying them and removing their blind spots in more important. One important point is that technology especially in computer and cyber field has an updating metamorphosis. So coordinating statutory laws and principles by such a rapid change, needs a more careful planning than other fields. In this article we review electronic procedural law and cybercrime procedural law to find new way for risk intensification committing cybercrimes which is part of situational prevention policies.
Preparation of a superposition of squeezed coherent states of a cavity field via coupling to a superconducting charge qubit

The generation of nonclassical states of a radiation field has become increasingly important in the past years given its various applications in quantum communication. It has been recently proposed a way to engineer quantum states using a SQUID charge qubit inside a cavity with a controllable interaction between the cavity field and the charge qubit. Since decoherence is known to affect quantum effects uninterruptedly and decoherence process are working even when the quantum state is being formed, therefore, is interesting to envisage processes through which quantum superpositions are generated as fast as possible. We succeed in linearizing the Hamiltonian of the system through the application of an appropriate unitary transformation and for certain values of the parameters involved, we show that it is possible to obtain specific Hamiltonians. In this work we will use this approach for preparing superposition of two squeezed coherent states.
Quantum Computing Looking Forward [Highlights]

Prof. Ching-Ray Chang received his B.S. degree in physics from National Taiwan University (NTU), Taipei, Taiwan, in 1979, and his Ph.D. degree in physics from the University of California, San Diego, in 1988. Since 1989, he has been with NTU and has had the chance to serve as the executive vice president and interim president of the university. Prof. Chang has worked in micromagnetic numerical modeling since 1980. He not only carried out pioneering studies of micromagnetic structures but also applied the Landau-Lifschitz equation to subnanosecond analysis. Prof. Chang has made significant scientific contributions and has had a great impact on the understanding of nucleation, spin dynamics, and thermal activation of magnetic materials as well as spin transport in low-dimensional materials. He served as the president of both the Taiwanese Physical Society and the Taiwan Associations of Magnetic Technologies. He is a Fellow of IEEE and of the IEEE Antennas and Propagation Society. He was a committee member of the IEEE Magnetic Society and chair of the Taipei Chapter. He served as the general chair of IEEE InterMag 2011 in Taipei. He has authored more than 280 papers and has held more than 28 magnetic-related patents. He was awarded the IEEE Nanotechnology Best Paper Award in 2019. Currently, he serves as the director of the NTU-IBM Quantum Computer Hub and as the chair of the Quantum Computer Promotion Office, Ministry of Science and Technology, Taiwan. Prof. Chang was the founder and served as the president of the Taiwan Association of Quantum Computer and Information Technologies.
Type Systems for Trustworthiness –- from Mathematics to Large-Scale Systems

Fast developments of information technologies with rapidly emerging new disciplines and their application in all segments of life and society permanently urge for the development of foundational aspects based on solid theoretical concepts. Early work on the foundations of mathematics, George Cantor’s Naïve set theory was fostering paradoxes which were singled out by Bertrand Russell: Does the set of sets not containing themself contain itself? Or not? At the beginning of the XX century, Type theory was a way out of these paradoxes preventing the expression “the set does not contain itself” to be a valid predicate anymore, since sets and their elements belong to different types. To this end, type theory has provided trustworthiness to logic and foundations of mathematics.