Reviewerly/exHarmony huggingface dataset:
Secure healthcare system with insurance processing using blockchain

Electronic health records provide details about the patient's medications and medical history records. Health information draws attackers' attention since it holds important records. The delivery of the wrong medication or operation is the outcome of the loss of electronic health records. Less security measures are provided by healthcare systems for patient safety information. With the support of particular hospitals, traditional digital health records (EHRs) manage medical information one patient record at a time, which leads to the uncomfortable exchange of records. Cloud-based EHRs are able to share information more easily than traditional EHRs. For cloud-based EHRs, however, a cloud service centre and key generation centre present a specific problem. The proposed effort focuses on developing a new EHR paradigm that can address the centralized issue with cloud-based EHRs. Applying emerging block chain technologies to EHRs is the solution (denoted as block chain-based EHRs for convenience). First, in a block chain scenario, specify the system paradigm of block chain-based EHRs. Additionally, the authentication problem can be crucial for EHRs. On the other hand, the present authentication procedures for block chain-based EHRs have security issues of their own. Additionally, a suggestion for a block chain-based EHR authentication technique is presented here. Our remedy is a collusion-resistant role-based signature system with many signatories that can fend off an attack. Additionally, the suggested method is presumably secure and offers more effective signature and verification processes than current authentication systems in the paradigm of random oracles. The recommended study also focuses on how patients file insurance claims. It helps people get insurance from the authorized insurance sector.
SOCIAL COMMUNICATION IN THE SCIENTIFIC AND EDUCATIONAL PROCESS OF HIGH SCHOOLS: CHALLENGES AND PROSPECTS OF DEVELOPMENT

Ukraine's entry into the European Higher Education Area (EHEA) and the resulting processes of modernization of higher education institutions in line with the European values of openness, democracy, innovation, and mobility require fundamental changes in social communication in the research and educational sphere. In the focus of attention of the authors of this article – two most important parameters of social communication in the research and educational sphere: semiotic and axiological – formation of meanings (culture, values, mission, vision of higher education institutions) and interactive – exchange of meanings (practices of interaction on the horizontal and vertical levels between participants of research and educational process). The article is devoted to the analysis of the challenges of the development of social communication in the research and educational process of institutions of higher education (the subject-object nature of social communication, the gap between the system of higher education and the labor market in the process of developing educational programs, etc.), as well as the prospects for its development. The concept of Subject-Subject communication «Students as partners» is considered, which is embodied in the idea of competence-oriented and student-centered approaches to teaching and learning and is one of the basic principles in the process of preparing educational programs. Achieving integral learning outcomes, which are general educational and special (subject) competencies of higher education students, allows them to apply acquired knowledge, abilities, skills, methods of activity for creative problem solving in professional activities. In the context of socio-communicative practices, the role and place of the guarantor as a key subject of the organization of the research and educational process is defined. It emphasizes the importance of combining the interests of the state, education, science and business, as well as the use of reverse design principles in expert teamwork in the development and implementation of educational programs.
Fusion Pre-trained Emoji Feature Enhancement for Sentiment Analysis

Emoji are often used in social media to enrich users’ emotions, and they play an important role in the task of social media sentiment analysis. In practice, researchers are more likely to consider emoji as special symbols and treat them separately from the text. Some existing methods use emoji as a dictionary for matching or converting emoji into text. However, these methods disregard the relationship between emoji and context, blue and they do not reflect the emotions that users are expected to express. It is challenging to incorporate the original emotions of emoji in social media sentiment analysis. In this article, we propose the EPE model: Emoji Pre-trained feature Enhanced sentiment analysis. Specifically, we collected 8 million tweets and selected 5 million tweets with pre-trained emoji with context using the BERT model. We labeled 20,000 tweets as a three-category dataset and used Bi-LSTM with an attention layer to extract text features. Emoji were retained as key emotion information and combined with text features in the final layer as a connected vector for final prediction. Experimental results with our dataset showed that the proposed EPE model achieved better performance than other baseline models.
Prospects for the Development of Electronic Resources for Social and Communication Activities of Information Institutions in Ukraine and the World

The purpose of the article is to study the prospects of the development of electronic resources for social and communication activities of information institutions in Ukraine and the world.&#x0D; Research methodology. General scientific and special research methods were used, in particular analysis and synthesis, comparison, generalization, and system-structural analysis.&#x0D; Scientific novelty. It is determined that electronic information resources in the form of digitized documents are currently the most effective form of involvement in the scientific circulation of huge arrays of documents contained in the funds of state archives of Ukraine for social and communication activities of information institutions. Measures to ensure the development of information potential in the context of digitalization are proposed.&#x0D; Conclusions. Thus, such types of electronic resources as local, network and electronic resources of combined distribution are distinguished. It has been clarified that among the virtual representations in the virtual information space, a significant place belongs to the websites of information institutions. It has been established that information infrastructure is a means of interaction and exchange of information resources. It has been defined that information potential is an important resource that is positioned, disclosed and used to form new resources and products and ascertainment of information needs of modern users. It has been clarified that the result of the introduction of information potential in the context of digitalization can be the formation of a single regional consolidated information resource with a single format for presenting data based on the use of modern digital platforms, increasing the level of development and application of information potential in general. It has been determined that to further ensure the development of electronic resource potential, it is necessary to consider the possibility and organization of interaction between a library, archival and museum institutions in the modern information and communication environment.
Developing Digital-Based English Text Writing Skills Test for Freshmen in the Department of English Language And Literature

The purpose of this research is to develop a digital English text writing skill test using Quiziz application for new students in the second semester of the 2021/2022 Academic Year.This writing skill test is to determine the initial ability of new students in writing text skills such as the ability to make simple outlines and write them in simple paragraphs with the main idea and topic that has been determined by the research team.The development of this test is useful for all students in the English Language and Literature Department and will be developed as a pretest for mapping new students' writing competence.This study will use an R and D (Research and Development) design.The data is the result of needs analysis and interviews with students and lecturers.The data source of this research will use random sampling with 60 second semester students of the 2021/2022 Academic Year of the Department of English Language and Literature and 4 lecturers who are in charge of the Writing course.
1224: FOCUS ON INPATIENT SEPSIS: ARTIFICIAL INTELLIGENCE, CLINICAL DECISION SUPPORT, AND E-RAPID RESPONSE

Introduction: Sepsis represents and major healthcare burden accounting for high morbidity and mortality. Despite aggressive research, investment, and innovation, sepsis remains a challenge in hospital settings. We aimed to implement an integrated electronic surveillance and clinical decision support system that would improve inpatient sepsis detection, expedite interventions, and allow for automated rapid cycle feedback. The program reinforced team based, time dependent care for patients with design elements taken from video game design usability experts. Based on studies supporting daily sepsis screening, alert-driven notifications stratified to risk and powered by artificial intelligence were initiated. All of this would be done while reducing the burden of interruptions and added workload on busy clinicians. Methods: A system-wide automated sepsis program was initiated in a large healthcare system A secondary pilot was initiated whereby a virtual e-Rapid Response nurse(eRRN) in one community hospital. The eRRN screened a high-risk patient list using the electronic medical record and two-way audio-visual technology. An interactive sepsis checklist as well as a suite of CDS tools driven by a predictive algorithm were piloted for clinician interaction. “Alert to action” ratios were visualized for rapid cycle feedback and performance improvement. Results: The pilot program was implemented in 20 facilities over a 12-month period. Approximately 6000 screens were prompted during that time. Preliminary results for process metrics in the E-rapid Response hospital pilot showed that 1566 sepsis alerts fired over a 7- month period, impacting over 250 unique patients. The average number of screens completed by eRRN was 260 per month in contrast to 26 by bedside teams. In terms of alert to action, 31 screens prompted sepsis protocol initiation and appropriate treatment was already rendered in 243 screens, noted in screen responses. Answers to each question on the sepsis screen are captured in an automated dashboard that provides opportunities to target care gaps. There has been a decrease in risk adjusted mortality and length of stay since pilot initiation. Conclusions: A system-wide sepsis program that includes a sepsis-focused E-Rapid Response program can support bedside staff to improve processes and outcomes.
Biomimicry in Microwave Photonics and Soft Robotic with Fiber Optics Sensors

Biomimicry offers effective solutions to critical challenges in our society by learning and mimicking the strategies used by living organisms. In this paper, biomimicry in microwave photonics and soft robotics will be introduced. Bio-inspired approaches has been used to provide promising solutions to the field of microwave photonic such as localization, jamming avoidance, and steganography. The analog solution provided by bio-inspired approaches does not propose a bandwidth limitation because there is no need for digitization. In recent years, soft robotics has been a promising alternative to conventional robots by offering safer robot-to-human interaction. Unique embedding configurations allow fiber optic sensor to be used in soft robotic to provide feedback for precise control. The second part of this paper will introduce several bio-inspired soft robots with embedded fiber optic sensors. Fiber optics provide flexible and light weight sensing solution, making it a promising candidate for sensing in soft robotics.
Multi Robotic Path Planning in a Static Environment

Robotic systems are becoming inevitable part of our lives. The demand for robotic system, which can perform multiple tasks with less complexity and energy consumption, is very high in the market. Multi robot system is the most recommended system for such requirements. In the case of multi-robot system reaching their intended destination and performing the assigned task determines its usefulness and relevance. In any mobile robot system path planning is a crucial step which should be designed carefully. Over the years, many path-planning algorithms have been realized yet there is scope of improvement in this area. Usually robotic path planning will happen either in static or dynamic environment. This work focuses on multi robotic path planning in a known environment (static in nature). The system consist of two robot, which will traverse through a planned path depending on the obstacles. The selection of the robot will be based on a score which is generated by considering multiple parameters. The cooperative behavior of these robots enables them to perform the task assigned to the other robot while the other robot is facing a malfunction or failure. The path planning process is realized using reinforcement learning for namely the Temporal Difference (TD) algorithm. The work also emphasizes on catering the existing TD algorithm to work for multi robotic system thereby increasing the efficiency of the system. The simulation of multi robotic system is carried out with the helpof Python 3.8.5 and SpyderIDE.
Self-evolving Multilayer Type-2 Fuzzy Controller Design For Time-Varying Delay Systems

This study presents a design of the multilayer type-2 fuzzy controller (MT2FC) to control the time-varying delay systems. By using the proposed multilayer structure, the number of fuzzy rules can be reduced while ensuring good coverage of input states. The self-evolving algorithm is used to automatically obtain the optimal network structure. The network parameters are updated online using the gradient descent method. Finally, the performance of the proposed control method is illustrated by numerical simulations of the time-varying delay systems.
Utilization of eco enzyme (EE) for polluted pond water purification: Development of mini research-based practical materials

Eco Enzyme (EE) is a complex organic solution, it is fermented from organic waste, sugar and water and environmentally friendly. The production of EE has a double advantage, can be used to reduce waste and can be applied to water management; therefore, a study was conducted with the aim of knowing the optimum EE concentration in the purification of polluted pond water. This research is an experimental research (true experimental) with qualitative research approach. Water sample was tested with EE concentrations vary from 0, 5, 10, 15, 20 and 25% with three repetitions each. The pH value reaches 6-8.The results of organoleptic observations of the color of the water after 3 days showed that the use of 25% EE caused the color of the water changed from green to yellowish. Moreover it can be concluded that the optimum condition for using EE for purifying polluted pond water is 25% or more. The process of developing research-based mini learning documents in the form of lesson plans and worksheets use 3 stages of development, they are Analysis, Design, and Development it showed that the developed lesson plans and worksheets were very valid. It is stated very valid since the lesson plans and worksheets have met the very valid criteria. This development product will be implemented in a mini-research-based learning on biology subjects for class X high school on environmental change and environmental conservation material with the theme of using Eco Enzyme for purifying polluted pond water.
Exposing Literacy in SD and SMP Swasta HKBP Sidorame Medan

The program of Pengabdian Kepada Masysarakat (Public Community Service) is aimed the literacy improvement training for elementary and junior high school children aims to provide students as well as teachers with information assistance about the importance of literacy for the development of knowledge in Indonesian society. This activity was carried out by lecturers and students from the English Department, Faculty of Teacher Training and Education, HKBP Nommensen University with students from Czech University. The program of PKM Activity was started on July 25th, 2022, and ended on July 26th, 2022. It is very clear that the cause of the low literacy ability (in terms of reading) is the oral tradition that is still rooted in society. In addition, related to elementary schools, the school system still does not provide opportunities for literacy traditions to students. This also happened to students at SD and SMP HKBP Sidorame Medan. This problem is trying to be minimized by conducting community service programs related to literacy for elementary and junior high school students. The Project represents one of the important areas of development of reading literacy in school. The most positive feature is the fact that there are large numbers of identified target groups, not only students but also teachers. Teachers themselves should expose students to literacy. Literacy should become a culture.
Assessment of Drinking Water Samples Around Selected Oil Spillage and Metal Recycling Company in Lagos State, Nigeria

In recent times, anthropogenic source has been considered to be one of the major sources of environmental pollution. In this study, the levels of six heavy metals (Cadmium -Cd, Copper-Cu, Chromium-Cr, Iron-Fe, Mangenese- Mn and Lead-Pb) were assayed in water samples from well and borehole around Gemade oil spillage and Sun metal industry, Lagos, Nigeria using Flame Atomic Absorption Spectrometry (FAAS). The levels of these heavy metals were in the order Fe &gt; Mn &gt; Cu &gt; Cd / Pb / Cr for the two sites and control, and within the range 0.001-10.162 mg/L. The results showed that significant difference exists between these levels and the controls (tv &lt; 0.005). In most cases, the levels of Fe and Mn from the sites were found above the WHO/FEPA limits. Significant differences exist between the levels of Cu and Mn in well and borehole water samples (tv = 0.004 -0.005) but not Fe (tv = 0.31 - 0.91). This indicated that the surrounding drinking water samples were polluted with some of these metals. The results obtained in this work also gave the baseline levels of these metals in the water samples at the selected sites.
On the complete weight distributions of quantum error-correcting codes

In a recent paper, Hu et al. defined the complete weight distributions of quantum codes and proved the MacWilliams identities, and as applications they showed how such weight distributions may be used to obtain the singleton-type and hamming-type bounds for asymmetric quantum codes. In this paper we extend their study much further and obtain several new results concerning the complete weight distributions of quantum codes and applications. In particular, we provide a new proof of the MacWilliams identities of the complete weight distributions of quantum codes. We obtain new information about the weight distributions of quantum MDS codes and the double weight distribution of asymmetric quantum MDS codes. We get new identities involving the complete weight distributions of two different quantum codes. We estimate the complete weight distributions of quantum codes under special conditions and show that quantum BCH codes by the Hermitian construction from primitive, narrow-sense BCH codes satisfy these conditions and hence these estimate applies.
Digital Archive Application In Design Department Of The Politeknik Negeri Media Kreatif

The great of carrier in every organization is one indicator of the achievement in a commercial enterprise entity or company.In assembly those indicators, records structures or records packages are a mainstay in a commercial enterprise strategy.In numerous departments or at diverse universities, the business process is frequently finished is archive management.Archiving activities are very important due to the fact they contain professional files and important for each institution.Increased technological innovation has empowered institutions to monitor archives in a digital way.The purpose of this research is to create a website-based digital archive application that can be used to record and store easily and safely, and to create an application that can display volume reports based on archive categories on a regular basis, those facilitating archive search activities.The system development methodology uses the waterfall method, PHP and MySQL programming languages.This application can be used to record, store, display archives by category and can be used to display archives by category, preview archives,
Robotic Manipulator Control Using CNN and Deep Q-Network Algorithm

Convolution Neural Networks are used with a Reinforcement Learning algorithm to control a robotic arm. The objective is to move the end-effector to a desired position using minimum actions without prior knowledge of the robot’s structure nor its mathematical model. The proposed methodology processes camera images from the environment and inputs this information as raw pixels to the agent. Then, Deep Q-Network algorithm trains the agent to provide the appropriate actions based on a value function that estimates future rewards. An experience replay feature is used to improve the agent’s performance by memorizing the highest rewarded-sequence of actions episode and replays it when needed. Simulation runs, using the graphical robotic simulator CoppeliaSim, validate the proposed algorithm as the agent provides the optimal number of actions to move the robot’s end-effector to the desired target using camera images as inputs. Four different cases are presented and the results show that the proposed algorithm can reduce the number of required actions significantly.
Robust Human Pose Quality Assessment Using Optimal Sub-Pattern Assignment

Quantitative assessment of human pose quality is becoming more and more important in various real-world applications. This paper presents a novel optimal sub-pattern assignment based human pose assessment (OSPA-HPA) algorithm for automatically quantifying how well people perform poses. We model the human pose as a collection of finite sets of features. Then, the pose quality is measured using the dissimilarities between the collections representing the reference pose and the actual one. Inheriting the advantages of the OSPA distance, the proposed OSPA-HPA algorithm can naturally deal with the problems of feature loss and feature ambiguity. The effectiveness of the proposed algorithm was validated using three dance training scenarios.
Dual-layer Semantic Propagation for Semi-supervised Projection

Graph-based semi-supervised projection methods improve the dimension reduction performance by performing the label propagation among the labeled and unlabeled samples. However, most of the existing methods only consider the single-layer semantic propagation on the graph and adopt a mandatory semantic consistent constraint that forces the learned pseudo-labels of labeled samples to be directly equal to the given labels, which may bring semantic loss and thus reduce the subsequent projection performance. To solve the problems, we propose a Dual-layer Semantic Propagation for Semi-supervised Projection (DSP-SP). Our model can simultaneously perform indirect semantic propagation on a structured graph, direct semantic propagation with a soft semantic alignment and semi-supervised projection in a unified semi-supervised learning framework. Specifically, the soft semantic alignment reduces the semantic loss by making the pseudo-labels approximate the given labels as possible, which is beneficial to learning feature projection matrix. Experiments show the superiority of the proposed method on both projection accuracy and learning efficiency.