Reviewerly/exHarmony huggingface dataset:
Electronic Health Records (EHR) and Staff Access to Technology

Now days, most of the services are deployed on cloud as well as computing infrastructure so that the higher degree of performance and accuracy can be achieved. The work presents the deep evaluation of the medical data with the cavernous usage patterns in the medical science for electronic health records. The cavernous data management related to assorted dimensions is now days getting huge fame because of the increasing needs of the values and the parameters in the specific domain. In case of medical sciences and health care, there is need to maintain the records of the patients so that the future values can be predicted and even to have the previous records related to that particular patient. In this paper, the technological aspects of the electronic health records is depicted with the diversified scenarios in different segments of medical sciences and the health care segments whereby there is need to integrate the higher degree of performance in the patient’s records and to have the predictions of the diseases. The presented approaches are   giving the better outcomes on the aspects of the patients’ health records and to have the values in the predictions based plots for the upcoming behavior of the patient.
A Qualitative study of class rules for 3-year-olds in the Saessak class at Saemteo Kindergarten

This study analyzed kinds and characteristics of class rules for 3-year-olds in the Saessak class at the Saemteo kindergarten and determined reasons why young children violate rules. Research participants were composed of 21 young children and 2 teachers in the Saessak class for 3-year-olds and data collection/analysis were conducted by participant observation and in-depth interviews using qualitative methodologies. Research findings are as follows. Firstly, in the Saessak class, there were 7 rules including “getting along with friends”, “keeping order”, “arranging·organizing”, “staying in one
Hybrid Agile Software Development for Smart Farming Application

Agile methodology for software development has nowadays become the most used ones by Industry and start-ups. Notwithstanding the still persistent general perception of “agile” being free and unregulated, most of the agile methods are very demanding on rituals and on building an effective and working relationship with their Customers/Stakeholders. Some projects, as the one presented in this paper, are characterized by a huge area of uncertainty where neither the customers nor the developers have a consistent knowledge of the domain. In such cases the agile rituals cannot be initiated properly until a knowledge acquisition phase is performed. In this paper the peculiar “research project” approach used to solve the domain knowledge gap is presented and the subsequent “hybrid agile” method is discussed. A peculiar mix of domain specific research, technology survey and rethinking the agile scrum frame has made it possible to deliver a successful application working in the Smart Farming domain.
A Study on the Issues of Financial Ratio Analysis

Financial statement analysis consists of applying analytical tools and techniques to money statements in an endeavor to quantify the in operation and money conditions of a firm. The stress of the analysis changes relying upon one’s relationship with the corporate. A analyst extending a short, unsecured loan to an organization can examine the firm’s income and also the liquidity of the company’s assets. A stock capitalist, on the opposite hand, is primarily searching for future growth in income and earnings. Investors generally examine variables which may considerably impact a firm’s money structure, sales, earnings production, and dividend policy.
Secure and Efficient Privacy-Preserving Identity-Based Batch Public Auditing with Proxy Processing

With delegating proxy to process data before outsourcing, data owners in restricted access could enjoy flexible and powerful cloud storage service for productivity, but still confront with data integrity breach.Identity-based data auditing as a critical technology, could address this security concern efficiently and eliminate complicated owners' public key certificates management issue.Recently, Yu et al. proposed an Identity-Based Public Auditing for Dynamic Outsourced Data with Proxy Processing (https://doi.org/10.3837/tiis.2017.10.019).It aims to offer identity-based, privacy-preserving and batch auditing for multiple owners' data on different clouds, while allowing proxy processing.In this article, we first demonstrate this scheme is insecure in the sense that malicious cloud could pass integrity auditing without original data.Additionally, clouds and owners are able to recover proxy's private key and thus impersonate it to forge tags for any data.Secondly, we propose an improved scheme with provable security in the random oracle model, to achieve desirable secure identity based privacy-preserving batch public auditing with proxy processing.Thirdly, based on theoretical analysis and performance simulation, our scheme shows better efficiency over existing identity-based auditing scheme with proxy processing on single owner and single cloud effort, which will benefit secure big data storage if extrapolating in real application.
ГЕНЕЗИС ФЕНОМЕНА ИНФОРМАЦИОННОЙ КУЛЬТУРЫ

The article focuses on the research of information culture, as a multidimensional, complicated phenomenon arising from interaction among social sciences in the field of study “knowledge”, ”information”, ”culture”. The phenomena “knowledge” and “information” are being researched as interdependent elements in the work, which meanings are changing because of the nature of the times and social conditions as well: from interpretation the knowledge as a product of a cognitive process to the knowledge as the result of information activity. Beginning with a detailed analysis of the phenomenon “knowledge” the author of the article underlines the historical value of the cognitive activity which is being transformed because of the evolution of society and technological development into information activity. Information symbolized a new age, a product of unique human relations, which are characterized by a latent mechanization of social interaction of people. Particular attention is given to culture, which acts as a custodian of social integrity, nature of a society and serving as an engine for its development. In this context, the information culture is considered through the prism of all these phenomena, included social knowledge, cognitive process of individuals and principles of information exchange.
A Study About Pre-developed Software Qualification of Smart Devices Applied in NPP

According to the research and analysis about the standards and Electric Power Research Institute (EPRI) relevant reports of commercial grade dedication (CGD) such as the pre-developed software of smart devices which perform intelligent measuring, communication and actuation devices employing programmed electronic components (PEC) to enhance the performance, the requirements for the pre-developed software qualification has been identified. And in combination with the tasks of IEEE 1012, a V&V model was proposed to guide the concrete execution of qualification activities such as suitability evaluation, quality evaluation, operating experience evaluation, additional system test and comprehensive assessment. Besides, it also helps establish the specification and process for the pre-developed software qualification. On the basis of that, a pre-developed software qualification was performed for each qualification activity, and forming some good practice in the process. At the same time some special considerations are put forward for the pre-developed software qualification. Furthermore, some critical qualification points has been captured and may provide some technical reference for subsequent CGD such as the pre-developed software of smart devices which will be applied in the HPR1000 and other nuclear power plants (NPPs).
Mathematical proof of the third order accuracy of the speedy double bootstrap method

In our previous research, we proposed a speedy double bootstrap method for assessing the reliability of statistical models with maximum log-likelihood criterion. It can provide 3rd order accurate probabilities. In this study, our focus switches to the mathematical proof. We propose an alternative proof of the third order accuracy in the context of the multivariate normal model. Our proof is based on tube formula differential geometric methodology and an Taylor series approach to the asymptotic analysis of the bootstrap method.
Autonomous vehicles (AVs) and the Internet

In the previous Chapters (4_7) we discussed the numerous uses and appli¬cations of the Internet for people, companies, and systems, all within urban contexts. All of these uses and applications have come already into operation so far. In this last chapter of Part II of the book we are about to explore a rather upcoming application of IoT, probably being the most extensive, daring and crucial one, namely communications by and to vehicles, thus turning them into driverless AVs.
Audio-Text Sentiment Analysis using Deep Robust Complementary Fusion of Multi-Features and Multi-Modalities

Sentiment analysis, mostly based on text, has been rapidly developing in the last decade and has attracted widespread attention in both academia and industry. However, the information in the real world usually comes from multiple modalities, such as audio and text. Therefore, in this paper, based on audio and text, we consider the task of multimodal sentiment analysis and propose a novel fusion strategy including both multi-feature fusion and multi-modality fusion to improve the accuracy of audio-text sentiment analysis. We call it the DFF-ATMF (Deep Feature Fusion - Audio and Text Modality Fusion) model, which consists of two parallel branches, the audio modality based branch and the text modality based branch. Its core mechanisms are the fusion of multiple feature vectors and multiple modality attention. Experiments on the CMU-MOSI dataset and the recently released CMU-MOSEI dataset, both collected from YouTube for sentiment analysis, show the very competitive results of our DFF-ATMF model. Furthermore, by virtue of attention weight distribution heatmaps, we also demonstrate the deep features learned by using DFF-ATMF are complementary to each other and robust. Surprisingly, DFF-ATMF also achieves new state-of-the-art results on the IEMOCAP dataset, indicating that the proposed fusion strategy also has a good generalization ability for multimodal emotion recognition.
Towards Self-Learning Model-Based Evolutionary Algorithms

Model-based evolutionary algorithms (MBEAs) are praised for their broad applicability to black-box optimization problems. In practical applications however, they are mostly used to repeatedly optimize different instances of a single problem class, a setting in which specialized algorithms generally perform better. In this paper, we introduce the concept of a new type of MBEA that can automatically specialize its behavior to a given problem class using tabula rasa self-learning. For this, reinforcement learning (RL) is a naturally fitting paradigm. A proof-of-principle framework, called SL-ENDA, based on estimation of normal distribution algorithms in combination with reinforcement learning is defined. SL-ENDA uses an RL-agent to decide upon the next population mean while approaching the rest of the algorithm as the environment. A comparison of SL-ENDA to AMaLGaM and CMA-ES on unimodal noiseless functions shows mostly comparable performance and scalability to the broadly used and carefully manually crafted algorithms. This result, in combination with the inherent potential of self-learning model-based evolutionary algorithms with regard to specialization, opens the door to a new research direction with great potential impact on the field of model-based evolutionary algorithms.
BRT - (Blockchain Relevance Theory): A Theoretical Framework for Blockchain &amp; DLT in Cyber Security Using CISv7 Controls

Blockchain as a distributed ledger technology (DLT) and its implications to the finance world has been growing since it was first seen in 2008 in the form of the crypto currency Bitcoin.
Новые возможности диагностики колоректального рака c помощью оптической системы детекции клеток на основе диэлектрофореза-=SUP=-*-=/SUP=-

AbstractThe possibilities of using electrical and viscoelastic parameters of erythrocytes in patients with colorectal cancer (CRC) of different stages were demonstrated using optical cell detection system based on the dielectrophoresis method. The deformation amplitude, portion of deformed cells, generalized viscosity, rigidity, equilibrium frequency position, and electrical conductivity were the most significant parameters for determining patients with CRC, as well as early and late stages, included in the created model of a riskometer for the disease diagnosis. The created diagnostic “panels” with a high diagnostic accuracy, sensitivity, and specificity allowed to one determine patients with CRC (specificity 0.91, sensitivity 0.96), as well as early and late stages of the disease (specificity 0.64, sensitivity 0.86).
Research Guides: Virtual Reality at UAB Libraries: VR Information Resources from UAB Libraries

This guide is intended to serve as a source of general information about the virtual reality tools and related services provided by the UAB Libraries. Virtual reality tools and services are intended to support UAB Libraries mission and that of the Univers
“TO BE IN CAHOOTS”, A TEACHING INNOVATION CONSPIRACY IN ECONOMETRICS

1 Florida Universitaria (affiliated to the University of Valencia) (SPAIN)2 EDEM Escuela de Empresarios (SPAIN)
Torrens, trust and technology: Why user awareness is more important than ever

Context Catalyst PEXA ‘hack’ costs to consumer (Mitchell, 2018) - bank account details changed - ‘blind’ reliance on system, i.e. not checked again before proceeding - impacts on consumer trust (Sadler, 2018) Subsequently Increasing of PEXA security measures - warning emails of password change attempts ignored Required Post acquisition technology training - Costs time and money - Use and awareness skills both essential (Cradduck, 2015)
Review Paper On Direct A.C. Power Generator By Using Solar Cells

AC Solar Generator works on a very simple principle. It consists of standard solar cells arranged in circular pattern mounted on a base. Half of the cells are wired in one circuit and half in another circuit. Mounted above the solar cells is a spinning disc powered by a DC electric motor. The DC motor gets its power from four small DC solar cells mounted in the corners of the base. The disc has portals cut into it allowing light to pass through to every other solar cell below it. As the disc spins each of the banks of solar cells is alternately exposed to light and alternately produce power. When the portal is half way between the two cells the voltage cancels and drops to zero. The resulting voltage is sinusoidal or AC. Thus there is no need of conversion equipment’s such as inverters, phase synchronizers, etc. This makes the overall concept quite simple yet effective and economical as well as compared to the current trend of extracting the solar energy in the market. Due to the tracking system the efficiency of the overall project increases by 10% to 30%.This paper deals with the design and execution of a solar tracker system dedicated to the PV conversion panels. The proposed single axis solar tracker device ensures the optimization of the conversion of solar energy into electricity by properly orienting the PV panel in accordance with the real position of the sun. The operation of the experimental model of the device is based on a DC motor intelligently controlled by a dedicated drive unit that moves a mini PV panel according to the signals received from two simple but efficient light sensors. The performance and characteristics of the solar tracker are experimentally analyzed.
“CONSTRUCTION SITES SCHOOL”: EXPERIENCES OF PROFESSIONAL TEACHING

Appears in: INTED2019 Proceedings Publication year: 2019Pages: 6242-6250ISBN: 978-84-09-08619-1ISSN: 2340-1079doi: 10.21125/inted.2019.1519Conference name: 13th International Technology, Education and Development ConferenceDates: 11-13 March, 2019Location: Valencia, Spain
Details preserved brightness equalization algorithm for non-uniform illumination images

In order to overcome the limitation of current image enhancement algorithms for non-uniform illumination images, a brightness equalization algorithm is proposed to preserve the detail information in low illumination region and normal illumination region at the same time. The algorithm uses the adjacent frequency and position of pixels to generate illumination filter, so it can effectively separate illumination information and reflection information with details. The illumination threshold is used to divide different illumination areas to compensate for low illumination brightness, so as to balance the image brightness. The experimental results show that compared with the classical naturalness preserved enhancement algorithm (NPEA), the average peak signal to noise ratio of the image increases by 15.4%, the average enhancement degree increases by 245.0%, and the average brightness step difference decreases by 25.4%. The results of the proposed algorithm can maintain the details of different illumination areas while balancing the brightness and obtain a better visual effect.
FAKTOR EKSTRINSIK YANG MEMPENGARUHI MOTIVASI BELAJAR SISWA KELAS IV SEKOLAH DASAR SE-GUGUS 2 KECAMATAN SAIL PEKANBARU

The research was motivated by the low motivation of grade IV elementary school students. The study aims to determine extrinsic factors that influence the learning motivation of fourth-grade students in Gugus 2 Sail District Pekanbaru City. This type of research is quantitative descriptive research. The research sample consisted of 149 students. The data collection technique used is the questionnaire technique. The data analysis technique uses descriptive statistics. The results showed that extrinsic factors that affect student learning motivation at 8.26% were influenced by learning methods, 10.02% were influenced by teacher relations with students, 10.20% were influenced by student relations with students, 11.22% were influenced by discipline school, 8.61% influenced by learning tools, 10.93% influenced by school time, 10.70% influenced by learning standards above size, 10.66% influenced by building conditions, 10.20% influenced by curriculum, 9, 21% is influenced by homework. The conclusions of the study show that extrinsic factors that influence the learning of fourth-grade students of Gugus 2 Sail District Pekanbaru City is school discipline.
Digital Forensics Event Graph Reconstruction

Ontological data representation and data normalization can provide a structured way to correlate digital artifacts and reduce the amount of data that a forensics investigator needs to process in order to understand the sequence of events that happened on a system. However, ontology processing suffers from large disk consumption and a high computational cost. This paper presents Property Graph Event Reconstruction (PGER), a data normalization and event correlation system that utilizes a native graph database to store event data. This storage method leverages zero index traversals. PGER reduces the processing time of event correlation grammars by up to a factor of 9.9 times over a system that uses a relational database based approach.
TUTOR-BOTS: A CONVERSATIONAL CHATBOT FOR EDUCATION

Appears in: INTED2019 Proceedings Publication year: 2019Pages: 8718-8722ISBN: 978-84-09-08619-1ISSN: 2340-1079doi: 10.21125/inted.2019.2175Conference name: 13th International Technology, Education and Development ConferenceDates: 11-13 March, 2019Location: Valencia, Spain
Three Tier OTP Generation for Secure Banking Applications

New method describe the methods of how the two stage authentication is implemented using Message OTP or mail OTP generated by phone One Time Password to make secure user of customer accounts during various transactions. The proposed process gives the us the guarantees of authenticating online banking features are secured and also this method can be useful for various e-shopping scenarios as well as ATMs. Authentication and private key generation securely over insecure channel is a big factor. If One time password(OTP) is generated from the server and it get to the user but if OTP get hacked over network then that transaction may be done by the hacker so as a banker or application owner we have to send secure OTP to banking customer or user. Our system explains three level security for the OTP while doing transactions. The whole transaction is based on public key and private key as well as with advanced encryption standard (AES).
Geochemical Detection of Soil Discontinuities in a Relatively Stable Terrain: Wonu, South-West Nigeria

Movement of soil materials resulting in transported overburden occur in relatively stable terrains as described from the Wonu area of South-West Nigeria.The effect of such transported soils may be serious in pedogeochemical studies as they could lead to false anomalies, masked anomalies and incorrect bedrock identification during geological mapping in highly weathered terrains.Several techniques and parameters have been successfully used to detect discontinuities in soil.A lot of these are based on 'abrupt changes' expressed by a departure in depth trends mostly physical between zones of otherwise relative uniformity.This study shows that plots of bases/alumina versus silica/alumina from geochemical analysis can be used to separate the transported soil material from that of the soil formed in-situ.
IBM Foundation and St Vrain’s P-TECH

America's economy and our public schools are inextricably linked. In Colorado, growth industries such as advanced manufacturing, information technology (IT) and aerospace have strengthened our economy and provided the foundation for innovation and investment in our communities. To continue supporting high levels of growth and success, we must ensure that our education system is preparing our children to meet the needs of an accelerated world. Today's students and tomorrow's workforce demand an education that is rooted in rigorous academics and provides growth opportunities for career training and postsecondary learning that will give them a competitive advantage for in-demand jobs.
SCSU Research Guides: TSL503: Second Language Acquisition: Other Databases

This guide displays tools for students in TSL503 to complete assignments in their course. The guide gives search strategies for using Linguistics & Language Behavior Abstracts (LLBA), other databases, and resources in the library.
12 ways practices can improve clean claim ratios

Submission of incomplete or inaccurate claims results in claim denials, delayed payments, and additional work for staff. Here's how you can minimize claim denials and ensure timely payments for your practice.
Implementing Your System

Now that we’ve established the “why” of a design system and learned how to think about design as a language, the next step is to begin implementation. In this section, we will start by assessing your organization, building a support system, and understanding the state of your product. You will learn how to build a predictable architecture that supports the multiple areas that make up your system. Once there is a clear foundation, you can begin designing, building, and implementing components while ensuring to clearly document decisions along the way. We’ve provided three case studies to help ground the discussion and provide real-world scenarios for how to implement a system based on individual needs.