Reviewerly/exHarmony huggingface dataset:
The Current State of Healthcare Information Exchange (HIE) and Proposing a Blockchain HIE Infrastructure

While there is some HealthcareHealthcare InformationInformation Exchange (HIE) occurring through electronic channels within individualIndividual health systemsHealth system, the quality of informationInformation exchanged among healthcareHealthcare organizations varies widely. The current state of healthcareHealthcare informationInformation exchange has some resourceResources-rich organizations practicing Modern HIE with electronic exchange of patient recordsRecord through established trustTrust among the organizations and technological solutions such as Carequality. These solutions have usually been adopted by larger health organizations but are more difficult to implement at smaller organizations. Unfortunately many smaller organizations resort to Archaic HIE as the least commonCommon denominator where recordsRecord are faxed and re-entered manually with diagnosticsDiagnostic repeated when a patient’s care is transitioned between organizations. Due to its uniqueUnique ability to decentralize informationInformation exchange, blockchainBlockchain technologyTechnology could be the ideal technological solution to even the playing field and bring all healthcareHealthcare systemsSystem. into the era of Modern HIE. Blockchain technologyTechnology through a novel Secure HashHash AlgorithmAlgorithm uses cryptographic signaturesSignature and proof of workProof-of-Work to establish trustTrust between entities without the need for a third partyThird party intermediary. HealthcareHealthcare institutions can act as miners or nodesNode in a consortiumConsortium blockchain to safely and securely exchange patient health informationInformation to verify transacted informationInformation on the EthereumEthereum blockchainBlockchain. While there may be lack of interorganizational trustTrust allowing for ubiquitous HIE among healthcareHealthcare organizations, patient trustTrust in blockchain technologyTechnology can likely bypass the need for organizational agreementAgreement on how to achieve HIE. There are many considerations on what dataData should be storedStored on the chainChain and how often transacted data should be updated on the ledgerLedger. Prominent companies and organizations including Deloitte, Accenture and Mayo Clinic have been building HIE systemsSystem based on the concepts described in this chapterChapter. Blockchain technologyTechnology looks promising to solve the problem of health information exchangeHealth information exchange but much work remains to bring the vision to realityReality.
Optimizing Blockchain Technology in Academic Medicine

AcademicAcademics medicineMedicine is certainly an area in which blockchain technologyTechnology could add efficiencyEfficiency, simplicity, and securitySecurity for learners, educational institutions, and even potential employers. A career in MedicineMedicine fundamentally requires a lifelong commitment of continuing educationEducation, learningLearning and developing new skillsets, and scholarship. This chapterChapter serves to highlight specific instances in which blockchainBlockchain ledgerLedger could be applied to areas in academicAcademics medicineMedicine, including the maintenanceMaintenance of academicAcademics recordsRecord, trackingTracking of academicAcademics achievement and scholarly work, and the forum for exchange secure informationInformation (i.e. medical board testing, employment contracts). By providing specific instances where blockchain could be potentially be valuable to medical educationMedical education, this chapterChapter may serve as inspiration for further applications of blockchainBlockchain into the educational landscape.
The Study of Extraction Soil Salinity Information from High Resolution Multispectral Remote Sensing Data, Pilot Area in DongNai Province, Vietnam

Soil salinity is one of the causes that directly affect agriculture in many countries and territories around the world. This study establishes a map of saline soils in the area of Long Thanh and Nhon Trach districts, Dong Nai province, using Sentinel-2 data taken in the dry season 2020–2021. The indicators used are Salinity Index, SI and Enhanced Vegetation Index, EVI. The electrical conductivity (EC) data collected at that time was used to build a suitable model for the study area on the basis of correlation with the used indicators. On the basis of correlation calculations of a multiple linear regression model with the determination coefficient of approximately 0.75. At the same time, the March 2021 Sentinel-2 dataset is used to map saline soils as this is when saline soils are most apparent.
Genetic Privacy in the Age of Consumer and Forensic DNA Applications

U.S Courts have ruled that one’s genetic information is covered by the Fourth Amendment to the Constitution, which affords persons protection against unreasonable search and seizures of their personal property and personal space. The Genetic Information Non-Discrimination Act (GINA) protects people from discrimination in health insurance and employment based on genetic information. The European Union issued the General Data Protection Regulation, which included genetic information. Yet with the development and application of DNA identification in criminal investigations, governments have amassed the genetic information of millions of people. And, with the rise of consumer genetics, especially since DNA ancestry tests went commercial in 2000, dozens of companies have amassed millions of personal DNA samples that are sold to various companies for analysis beyond their intended genealogical purpose. Where is the balance between the protection of people’s genetic information and the commercial and forensic acquisition of personal genetic data? How can genetic information be protected under the Fourth Amendment’s privacy provisions, as well as privacy laws in other countries, and yet be so whimsically distributed throughout society, so easily acquired by police, and voluntarily released to companies?
Transect Walk Research Method

Like many other walking methods, Transect Walk is mostly used in ethnography. It was introduced as a method of community mapping in the context of Participatory Rural Appraisal (PRA) (Chambers in Whose reality counts. Intermediate Technology Publications, 1997; Maman et al. in Field Methods 21:368–387, 2009; Narayanasamy in Participatory rural appraisal: principles, methods, and application. SAGE Publications, 2009).
Health Monitoring Technology Based on Artificial Intelligence

Artificial intelligence is a branch of Computer Science in the 1950s.
Data Preprocessing Technology in Pipeline Health Monitoring

Many years ago, engineers and scholars began to use a large amount of data obtained from inspection and monitoring to carry out health monitoring and fault diagnosis of building structures, and the research and application are mainly concentrated in the field of bridges and tunnels.
Parallel Validity Analysis of the Boomerang Attack Model

The boomerang attack is an extension of the differential attack that make it possible to theoretically construct a long quartet structured distinguisher with high probability from two unrelated short differential characteristics. This paper gives a quantitative analysis on the precision and effectiveness of theoretical probabilistic model of the boomerang attack and its extension (rectangle attack) by applying these two attack method on a lightweight block cipher KATAN32. The experimental result shows that the deviation between the theoretical and empirical probability of these two distinguishers is effected by length of the two unrelated differential characteristics in the quartet structured distinguisher. Furthermore, we design and implement a parallel cryptanalysis method in OpenCL to speed up the verification process by exploring the computational power of modern multi-core CPU and GPU.
Couples’ We-Ness and Separateness During the COVID-19 Pandemic and Lockdown: A Longitudinal Perspective

This 5-wave longitudinal study aimed to monitor the feeling of we-ness and separateness over one year of the COVID-19 pandemic by examining partners’ natural pronoun usage when reporting couple interactions. Compared to the start of the pandemic, a general decline of we-ness was found after one year. Moreover, the changes in couple we-ness were non-linear, resulting in an increase at the end of the strict lockdown, followed by a decrease. No change in couple separateness was found.
Inhibition of double excitation and strong quantum entanglement via engineered cavity interactions

We propose a method for realizing the inhibition of simultaneous excitation of two identical qubits in a single-mode cavity QED system, where two qubits are driven by a coherent field and coupled to a cavity with engineered qubit-cavity interactions. By suitably chosen placements of the qubits in the cavity and by adjusting the relative decay strengths of the qubits and cavity field, we close many unwanted excitation pathways. This leads to an inhibition of the doubly excited state. In addition, we show that these two qubits are strongly entangled over a broad regime of the system parameters. We show that a strong signature of nonexcitation of the doubly excited state is the bunching property of the cavity photons, which thus provides a possible measurement of this nonexcitation. We also present dynamical features of the inhibition of simultaneous excitation of two qubits. The proposal presented in this paper can be realized not only in traditional cavity QED, but also in noncavity topological photonics involving edge modes.
Co-linear common-path shearography with a zero-approaching shear amount and separate control of the spatial carrier for single-shot phase measurement

A co-linear common-path shearography is proposed with spatial phase shift for single-shot phase measurement. The co-linear common-path configuration brings an enhanced robustness and stability of the measuring system, because the two laterally sheared interfering object waves propagate essentially along the same path, which cancels out the disturbance and noise in surroundings. Two functional features, which break through the limitations in conventional co-linear common-path shearography, are proposed and implemented, namely the zero-approaching shear amount and the separate control of the spatial carrier. Seldom shearography configured by co-linear common-path structure possesses with these two features, because the linearly aligned optics restricts the control parameters in regards to the shear amount and the spatial carrier. In the proposed scheme, an intermediate real image plane is created in the linearly aligned light path to address the issue of zero-approaching shear amount. A 4-f imaging system is embedded with an aperture in between to implement a separate control of the spatial carrier. The zero-approaching shear amount provides the sufficiently small shear to make sure the strain or slope field of complex deformation is resolvable. Meanwhile, the separate control of the spatial carrier further guarantees a well-distributed spatial frequency spectrum when the required zero-approaching shear amount is configured.
Towards time-evolving analytics: Online learning for time-dependent evolving data streams

Traditional historical data analytics is at risk in a world where volatility, uncertainty, complexity, and ambiguity are the new normal. While Streaming Machine Learning (SML) and Time-series Analytics (TSA) attack some aspects of the problem, we still need a comprehensive solution. SML trains models using fewer data and in a continuous/adaptive way relaxing the assumption that data points are identically distributed. TSA considers temporal dependence among data points, but it assumes identical distribution. Every Data Scientist fights this battle with ad-hoc solutions. In this paper, we claim that, due to the temporal dependence on the data, the existing solutions do not represent robust solutions to efficiently and automatically keep models relevant even when changes occur, and real-time processing is a must. We propose a novel and solid scientific foundation for Time-Evolving Analytics from this perspective. Such a framework aims to develop the logical, methodological, and algorithmic foundations for fast, scalable, and resilient analytics.
Extracting actors and use cases from requirements text with BiLSTM-CRF

Requirements are important in software development. Ambiguous requirements cause inconsistent understanding by developers, which leads to rework, delayed delivery, and other problems, and may even have devastating effects on the project. A large number of requirements text written in natural language are not concise, intuitive, and accurate. This condition increases the workload of designers and the difficulty of their tasks. An effective solution for the aforementioned problems is to extract actors and use cases from the requirement texts. This study proposes a model for extracting actors and using cases automatically, which combines bi-directional long short-term memory (BiLSTM) and conditional random fields. BiLSTM is used to capture the contextual information of the texts, and CRF is used to calculate the tag transfer score and determine the most accurate tag sequence, which aims to extract actors and use cases. Results show that the accuracy of extraction is significantly improved compared with the baseline method, which verifies the effectiveness of the proposed method in extracting actors and use cases.
An accurate estimation algorithm for structural change points of multi-dimensional stochastic models

In order to improve the estimation accuracy of structural change points of multi-dimensional stochastic model, the accurate estimation algorithm of structural change points of multi-dimensional stochastic model is studied. A multi-dimensional stochastic Graphical Modeling model based on multivariate normal hypothesis is constructed, and the relationship between the Graphical Gaussian model and the linear regression model is determined. The parameters of the multi-dimensional stochastic model are estimated by using the parameter estimation algorithm of the multi-dimensional stochastic model containing intermediate variables. According to the parameter estimation results of the multi-dimensional stochastic model, the structural change point estimation results of the multi-dimensional stochastic model are obtained by using the accurate estimation algorithm of the structural change point based on the MLE identification local drift time. The experimental results show that the proposed algorithm has higher estimation accuracy of structural change points than the control algorithms, which shows that it can effectively estimate the structural change points of multi-dimensional random models and has higher practicability.
RAMRU-CAM: Residual-Atrous MultiResUnet with Channel Attention Mechanism for cell segmentation

The task of cell segmentation in microscope images is difficult and popular. In recent years, deep learning-based techniques have made incredible progress in medical and microscopy image segmentation applications. In this paper, we propose a novel deep learning approach called Residual-Atrous MultiResUnet with Channel Attention Mechanism (RAMRU-CAM) for cell segmentation, which combines MultiResUnet architecture with Channel Attention Mechanism (CAM) and Residual-Atrous connections. The Residual-Atrous path mitigates the semantic gap between the encoder and decoder stages and manages the spatial dimension of feature maps. Furthermore, the Channel Attention Mechanism (CAM) blocks are used in the decoder stages to better maintain the spatial details before concatenating the feature maps from the encoder phases to the decoder phases. We evaluated our proposed model on the PhC-C2DH-U373 and Fluo-N2DH-GOWT1 datasets. The experimental results show that our proposed model outperforms recent variants of the U-Net model and the state-of-the-art approaches. We have demonstrated how our model can segment cells precisely while using fewer parameters and low computational complexity.
Modeling the Influence of data amount on the response time of CRUD Operations under Oracle

In his paper we investigate the influence of data amounts on the response time of CRUD (Create, Read, Update, and Delete) Operations under Oracle 12c. Several sample tables have been designed and implemented in order to investigate the influence of every data amount component (records, attributes and data size) on the response time of CRUD operations. The experimental results show clearly that the response time of CRUD operations depends on the number of records, attributes or the data size. When the number of records, attributes or the data size increases, the response time increases linearly with different average slopes which depend on the type of operation. The highest slope was observed for the UPDATE operation, while the response time for the SELECT operation shows the lowest one. The results show that the response time versus the number of records is increased by 59.349, 5.735, 79.373 and 73.449 seconds for every one million records processed by INSERT, SELECT, UPDATE and DELETE operations respectively. The response time versus the number of attributes is increased by 13.923, 2.436, 49.168 and 23.351 seconds for every attribute added to the sample table and processed by INSERT, SELECT, UPDATE and DELETE operations respectively. The response time versus the data size is increased by 0.632, 0.0029, 0.657 and 0.636 seconds for every megabyte added to the sample table and processed by INSERT, SELECT, UPDATE and DELETE operations respectively. This approach of modeling the response time in a linear form significantly brings out the model of Oracle performance on the response time prediction, which is an important and useful standard for the design and implementation of database applications.
Decentralize Smart Contract Voting System

Decentralize online voting procedure that build the for a long time, interviewing genuine trust needs has already been a challenge. Every country seems to have its own online governance model, ranging from paper ballots to online signatures. They're have to facing many challenges towards the trust towards voting systems. Voting a ballot framework has been utilized by various nations since it less the expense and the time which used to consumed by utilizing conventional democratic. Blockchain innovation invites the straightforwardness and security requirements to the unbiased political race. It's a decentralised, immutable ledger system in its whole. Voting using the internet, casting a ballot framework permits the citizens to make their choice from any spot whenever which prompts expanding the elector support count. The aim of this paper is to present a Decentralize Smart Contract Voting System. The suggested system uses the ganache tool and technology to create a local primary network that provides additional security and transparency while exploiting Blockchain technology. The voter's identity is verified using the metamask. More security improvements have been made, and problems have been fixed from the smart Contract.
Estimation of Virtual Trust on Driverless Cars using Type-1 Fuzzy logic

The public's interest in self-driving automobiles is growing daily. Because they improve our daily life and also how they help us in various ways. They are also referred to as robotic automobiles. These cars utilize cutting-edge technology to efficiently address human mobility needs. Using the most advanced technological elements, this is a significant advancement in the automobile manufacturing sector. Over a wireless network, these vehicles talk to one another. These vehicles use cameras and sensors to take note of their surroundings. Their whereabouts are monitored by GPS radar, navigational pathways, and other tracking devices. If the existing path is altered, the cars' positions are adjusted using a sophisticated control system. These vehicles boost confidence, increase road capacity, and decrease traffic accident. The major benefit is a decrease in traffic enforcement, plus self-driving cars consume less fuel than other types of vehicles and don't require auto insurance. On the other hand, problems with software like data security and dependability must be resolved. The most crucial factor relates to driving jobs, which are the most hazardous for people. The calculation of Virtual Trust (VT) in driverless cars utilizing fuzzy logic design is the subject of this study. Verified findings and analyses from the Mamdani Fuzzy Inference System's (MFIS) test of virtual confidence in autonomous vehicles. Utilizing MATLAB simulation, results have been confirmed.
JavaScript Quiz Game

This paper recounts my experience creating a JavaScript quiz software that contains multiple quiz executions. All of these modules have been enciphered collectively and are structurally distinct from the antedating bones. These were erected in stages, with each bone being distinct from the one before it. Each of them has a score system (in some form) that allows druggies to compare their results to those of others. This, in my opinion, is the primary provocation for taking the quiz, and the stoner is given an objective score grounded on their capability position. HTML (HyperText Markup Language), CSS (Slinging Style Wastes), JS (JavaScript), API (Operation Programming Interface) (Operation Programming Interface)
JavaScript API Deprecation Landscape: A Mining Study

Software reuse is a vital component for a charge and time-green programming program improvement challenge. In JavaScript, this has caused the development of programming program stores that offer reusable projects and libraries. As new varieties of projects are delivered, their APIs is likely censured. Consequently, supporter bundles need emigrate to the more modern API varieties to advantage from new capacities and noxious program fixes. Dissimilar to various renowned program-ming dialects, JavaScript manages the cost of no nearby censure systems. To check how developers censure JavaScript APls, this paper audits the results of an overview with 109 JavaScript manufacturers and a mining inspect on 320 renowned JavaScript errands. Results prescribe that there's no in vogue system to expostulate JavaScript APls. Generally speaking, I find various responses, which incorporate control center message, challenge documentation, JSDoc explanation, code re-mark, and prefixed component. Moreover, manufacturers can likewise furthermore utilize more than one expostulation answers within side the indistinguishable test or perhaps within side the indistinguishable report.
Chatbot: A Bridge Between Technology and Learn

A Chatbot is a software application that uses text or text-to-speech to conduct an online chat conversation instead of providing direct contact with a human being. It will give the appropriate answers just like human beings and will help to learn new things easily without any difficulty. This ensures that people get the desired result and learn new technologies without depending much on human teaching, the chat-bot comprehends the user#39;s query and will provide an accurate response. The objective of this project is that chatbots can help to reduce the gap between the technology and learning process.