Reviewerly/exHarmony huggingface dataset:
Quality of life evaluation in individuals with multiple sclerosis in a reference center in Paraíba

Introduction: Multiple sclerosis (MS) is the most prevalent chronic inflammatory disease of the central nervous system (CNS). It affects over 2 million people worldwide and is currently incurable. Similarly to autoimmune diseases, multiple sclerosis can significantly affect the patient’s lifetime, especially in terms of compromising their quality of life (QoL). Objectives: To analyze the QoL in patients with MS at a Reference Center for Multiple Sclerosis in Paraíba (CREM/PB). Dessign: A transversal, exploratory, and descriptive study. Methods: The short-version structured interview of the World Health Organization Quality of Life Questionnaire (WHOQOL-BREF) and the Kurtzke Expanded Disability Status Scale (EDSS) were applied to measure the impact on quality of life and the dysfunctions in functional systems with disease progression, respectively. The sample had 46 patients. Data collection took place between February and March 2020. Statistical data were analyzed using IBM SPSS statistics version 26.0. Results: The Spearman correlation showed that there is a negative and reasonable correlation between the EDSS and the physical domain of the QoL assessment (P = -0.392; P &lt; 0.05) and a negative and fair correlation between the EDSS and the related field of the social aspects of the QoL assessment (P = -0.303; P &lt; 0.05). A positive correlation exists between the environment domain and the educational level component (P = 0.541; P &lt; 0.05). Conclusion: Individuals with MS experience a decrease in the perception of QoL in the physical domains and social relationships, with a higher perception among men to the detriment of women. There is a correlation between the level of disability and quality of life. Therefore, the necessity for a multidisciplinary approach is reinforced.
Quantum Satellite Communications

With the limitations of classical satellite communications the scientific community is looking into newer technologies to sustain and meet with the security standards and reduce the computational complexity in modern day satellite communication as we are heading to the next generation of communication. Therefore quantum mechanics has drawn attention due to the properties like superposition and entanglement, which can tackle communication problems like security. In particular, Quantum Key Distribution Quantum Key Distribution (QKD) protocols have already been experimentally shown in the context of satellite-to-ground communications, still with limited performances and significant trade-offs. This chapter deals with the basics of quantum computation, some of the key quantum communication technologies and recent advancements in particularly quantum satellite communication where experimental demonstrations have achieved large distances of over 1200 km and some of the ongoing research works in this field and have potential to make a breakthrough in satellite communication.
Public Libraries in the Russian Empire at the Turn of the 19th and 20th centuries: Key Characteristics of Their Operation

This work explored the operation of public libraries in the Russian Empire at the turn of the 19th and 20th centuries.Consideration was given to the legal-and-regulatory framework for such libraries, their distribution by type, and the key characteristics of how their book stock was funded and built.The principal sources for the study were relevant collections of materials and those of published documents.The study's findings revealed that at the turn of the 19th and 20th centuries public libraries served in Russia as an important tool for the self-education of both the nation's young and adults.By the end of the 19th century, a significant amount of experience had been amassed in Russia in terms of educating youth and creating the conditions for fostering citizenship in individual members of society.This education was grounded in the family as the basis on which the state is organized, benevolence, and staying true to one's obligations.By the start of the 20th century, Russian librarians managed to create the conditions for popularizing public libraries in society.This was done via visual attraction (e.g., attracting young readers via drawing and painting exhibitions) and a diverse repertory, typically dominated by works of fiction.The nation's vast network of libraries provided its population, including those living in the countryside, with an opportunity to self-educate.
Artificial neural networks (ANNs, also shortened to neural networks (NNs) or neural nets)

An Artificial Neural Network (ANN) is an information processing paradigm that is inspired by the way biological nervous systems, such as the brain, process information.The key element of this paradigm is the novel structure of the information processing system.It is composed of a large number of highly interconnected processing elements (neurons) working in unison to solve specific problems.ANNs, like people, learn by example.An ANN is configured for a specific application, such as pattern recognition or data classification, through a learning process.Learning in biological systems involves adjustments to the synaptic connections that exist between the neurons.This is true of ANNs as well.This paper gives overview of Artificial Neural Network, working & training of ANN.It also explain the application and advantages of ANN.
Achieving Cloud Security using Third Party Auditor and Preserving Privacy for Shared Data Over Public Cloud

Cloud computing is an emerging technology that will receive more attention in the future from industry and academia. The cost of this technology is more attractive when it is compared to building the infrastructure. However, there are many security issues coming with this technology as happens when every technology matures. In this research paper data security, data integrity and access control in the public cloud is achieved with significant results. In this process, Third Party Auditor (TPA) and user separation are used successfully. The TPA has a hybrid algorithm for signature generation called MD5withRSA. The access control is used for separate users from data owners and only those users can have access to the owner's data who have granted access by data owners. Data is compressed without affecting the quality of data to reduce the storage cost. The compressed data is then stored in chunks to provide security. The proposed system can be further extended to improve the TPA performance of different types of data on cloud environment.
IMAGE ENHANCEMENT USING VERILOG &amp; MATLAB

In this study, we used Verilog Hardware Description Language (VHDL) to illustrate and enhance the real-time adjustable results of image improvement.In order to enhance the image's quality and enable more accurate analysis, new filters are added to the image.In the areas of healthcare, multimedia services, and other industries, image processing is essential.A brand-new method for editing digital images that uses reconfigurable circuits is called "Image Enhancement using Hardware Language."This study examines the benefits of using Field Programmable Gate Arrays (FPGAs) as an image processing tool instead of Digital Signal Processors (DSPs) for tasks like brightness adjustment, threshold operation, image filtering, and picture inversion.Due to the parallel nature of HDL, the implementation of image enhancement techniques on FPGA using VHDL differs significantly from the implementation of image processing in MATLAB or utilizing DSPs.
EVALUASI KEBIJAKAN PERATURAN WALIKOTA PROBOLINGGO NOMOR 9 TAHUN 2021 TENTANG SISTEM DAN TATA CARA PENERIMAAN PESERTA DIDIK DI KOTA PROBOLINGGO

This study aims to find out the policy evaluation of Probolinggo Mayor Regulation Number 9 of 2021 concerning the System and Procedures for Admission of Students in Probolinggo City (the case of student acceptance through a special selection for SMP Negeri 10 Probolinggo City). The approach used in this study is descriptive qualitative with data collection methods consisting of observation, documentation, and interviews. The implementation of the policy of Probolinggo Mayor Regulation Number 9 of 2021 concerning the System and Procedures for Admission of Students in Probolinggo City is not effective because there are implementations of policies that are not in accordance with the expectations of policy making. Policy implementation is quite efficient because the efforts made by policy makers and implementers, in this case SMP Negeri 10 Probolinggo, have been optimal. The positive impact is as a learning from the Probolinggo City Government regarding the implementation of student admissions through special selection, while the negative impact is the existence of strong protests from a number of people which are contained in various mass media. Acceptance of students through special selection conceptually will improve the quality of education.
Feature Point Identification of Hydropower Plant Based on Improved ORB Algorithm

The traditional ORB algorithm has some problems such as poor feature point recognition, difficult to eliminate mismatching and scale invariance. This paper presents an improved ORB algorithm to identify and match feature points of hydropower plant. First of all, FAST algorithm uses rBRIEF descriptor to describe the detected feature points in the images of hydropower station equipment; Secondly, the feature points extracted by ORB were constructed by Hessian matrix to extract the feature points of hydropower equipment images. Finally, the direction consistency of feature points is used to eliminate the feature points that are not within the threshold range by cosine similarity invariance. The algorithm improves the accuracy of feature point matching, eliminates mismatching feature points and has the advantages of fast matching speed.
Boosting Just-in-Time Defect Prediction with Specific Features of C/C++ Programming Languages in Code Changes

Just-in-time (JIT) defect prediction can identify changes as defect-inducing ones or clean ones and many approaches are proposed based on several programming language-independent change-level features. However, different programming languages have different characteristics and consequently may affect the quality of software projects. Meanwhile, the C programming language, one of the most popular ones, is widely used to develop foundation applications (i.e., operating system, database, compiler, etc.) in IT companies and its change-level characteristics on project quality have not been fully investigated. Additionally, whether open-source C projects have similar important features to commercial projects has not been studied much.To address the aforementioned limitations, in this paper, we investigate the impacts of programming language-specific features on the state-of-the-art JIT defect identification approach in an industrial setting. We collect and label the top-10 most starred C projects (i.e., 329,021 commits) on GitHub and 8 C projects in an ICT company (i.e., 12,983 commits). We also propose nine C-specific change-level features and focus our investigations on both open-source C projects on GitHub and C projects at the ICT company considering three aspects: (1) The effectiveness of C-specific change-level features in improving the performance of identification of defect-inducing changes, (2) The importance of features in the identification of defect-inducing changes between open-source C projects and commercial C projects, and (3) The effectiveness of combining language-independent features and C-specific features in a real-life setting at the ICT company.
Optimization of Real-Time Data Flow of Computer Distance Education in Higher Vocational Colleges Based on 6G-Like Communication System Architecture

First of all, this paper summarizes the key technical directions of satellite-ground deep integration, new spectrum communication, distributed cooperative MIMO and intelligent communication that may be involved in the future 6G, and focuses on the space-ground integrated network (SGIN) based on satellite-ground deep integration; Then, aiming at the two typical network topology architectures that may exist.This paper is devoted to the research on the architecture and development of the video teaching system based on streaming media technology in modern distance education, providing learners with a "learner-centered" networked learning environment.Based on the educational technology theory of streaming media technology and system development, the whole system development process from system requirements analysis to system design, to the production and release of streaming media data, and the production and release of web pages is described in detail.
Improving quality of experience in adaptive low latency live streaming

Abstract HTTP Adaptive Streaming (HAS), the most prominent technology for streaming video over the Internet, suffers from high end-to-end latency when compared to conventional broadcast methods. This latency is caused by the content being delivered as segments rather than as a continuous stream, requiring the client to buffer significant amounts of data to provide resilience to variations in network throughput and enable continuous playout of content without stalling. The client uses an Adaptive Bitrate (ABR) algorithm to select the quality at which to request each segment to trade-off video quality with the avoidance of stalling to improve the Quality of Experience (QoE). The speed at which the ABR algorithm responds to changes in network conditions influences the amount of data that needs to be buffered, and hence to achieve low latency the ABR needs to respond quickly. Llama (Lyko et al. 28) is a new low latency ABR algorithm that we have previously proposed and assessed against four on-demand ABR algorithms. In this article, we report an evaluation of Llama that demonstrates its suitability for low latency streaming and compares its performance against three state-of-the-art low latency ABR algorithms across multiple QoE metrics and in various network scenarios. Additionally, we report an extensive subjective test to assess the impact of variations in video quality on QoE, where the variations are derived from ABR behaviour observed in the evaluation, using short segments and scenarios. We publish our subjective testing results in full and make our throughput traces available to the research community.
Intelligent Multi-Platform Software Practice of Accounting Teaching Innovation under the Background of High-Frequency Data Clustering

Cluster analysis is the process of grouping similar data objects into multiple clusters.Through clustering, valuable knowledge and patterns can be extracted from a large amount of data, and software data can be processed efficiently.Mainly from the influence of intelligence on the accounting industry and vocational education, it further expounds the current situation and existing problems of practical teaching of accounting majors in secondary vocational schools under the background of the new era, and proposes effective reform measures for these problems.This paper studies the problems existing in the current accounting education model in colleges and universities under the background of "Internet + big data"; the training mode of accounting professionals in secondary vocational colleges should also be reformed and innovated according to the changes of the times, from the aspects of teaching content and methods.Carry out comprehensive reform and improvement, so as to supply more high-quality accounting talents for socialist construction.
Grouping The Regencies/Cities in Indonesia Based on Expenditure Groups Inflation Value Using DBSCAN Method

Inflation is one of the important problems faced by a country in achieving economic goals and targets. The amount of inflation is measured using the Consumer Price Index for eleven expenditure groups in 90 regencies/cities in Indonesia. The occurrence of differences in inflation rates between regencies/cities in Indonesia will affect Indonesia's national inflation. The purpose of this research is to grouping regencies/cities based on expenditure groups inflation value and to identify the characteristics of the resulting groups. DBSCAN is a density-based non-hierarchical cluster method that can be used in data conditions that contain outliers. The data used in this study is secondary data obtained from the publication of the Badan Pusat Statistik Republic of Indonesia (BPS RI) regarding inflation by expenditure group. The analysis includes outlier detection, grouping using the DBSCAN method, performing cluster validation with silhouette coefficient, and identifying the characteristics of the clusters formed. Based on the grouping that has been done, two clusters are produced with a silhouette coefficient value of 0.65. The resulting cluster is cluster 0 in the form of a noise cluster consisting of 3 regencies/cities with regencies/cities that have a high category expenditure group inflation rate. Cluster 1 consisting of 87 regencies/cities is a cluster with regencies/cities that have a low category expenditure group inflation rate.
Traditional and Modern Technology Analysis of Paper Cultural Relics Protection and Restoration

Cultural relics are records of national history and civilization, inheriting historical culture and national spirit.Paper is one of the four great inventions of China.Paper products have appeared in the distant ancient times, and the text content recorded by paper cultural relics is of great value.However, since paper relics are prone to damage over time, historians have devoted themselves to restoring paper relics to obtain valuable historical records.The protection and restoration process should be continuously improved and innovated.Based on this purpose, this article discusses the traditional and modern methods of paper cultural relics protection and restoration, to provide help for relevant staff.
Pembuatan Peta Sebaran Penyakit melalui Workshop Sistem Informasi Geografis

The problem that often arises and is commonly found in the implementation of health planning at the health office is that the health planning system is still less effective in covering the needs and problems related to the health of the local community. The purpose of this Community Service (PKM) activity is to increase knowledge and skills in making disease distribution maps using the Quantum GIS application as one of the tools for making health plans. The training method is carried out by simulation and direct practice. The participants of this training were as many as 16 staff of Disease Control and Eradication the Jambi Provincial Health Office (P2P). Evaluation of activities using a pre-posttest questionnaire. The knowledge of P2P officers before training was dominantly lacking (43.8%) and after training the knowledge became dominantly good (75%). The results of this activity were obtained by increasing the knowledge and skills of P2P officers in making disease distribution maps using the QGIS application.
Formulasi tablet kitosan cangkang kepiting bakau (Scylla serrata) dari co-processed excipient dengan PEG 4000 sebagai meltable binder

Chitosan has many functions in the health sector, one of which can be used as an anti cholesterol supplement. Co-processing is a technique carried out to obtain new additives by combining two or more existing additives, where the combinations of these materials will complement each other, so that new additives with better (superior) properties are obtained. The purpose of this study was to determine the formulation and evaluation of mud crab shell (Scylla serrata) chitosan tablets from co-processed excipients with PEG 4000 as a meltable binder with a ratio of 10% (F1) and 20% (F2). Co-processed excipients are made using the melt granulation method with additional ingredients, namely lactose as a filler and primogel as a disintegrant. Tablets were printed using the direct compression method with the addition of Mg Stearate as a lubricant. The results of the co-processed excipient evaluation showed that each granule met the requirements for the flow rate test, angle of repose test, compressibility test and Hausner's ratio. From the results of statistical tests using the Mann-whitney test method, there is a significant difference between co-processed excipient PEG 4000 10% and PEG 4000 20% as a meltable binder for the parameters of water content with F2 moisture content (1.67%) lower than in F1 (3.33%). In the evaluation of chitosan tablets, they produced tablets that met the test requirements for weight uniformity, tablet friability (F1), tablet hardness, disintegration time (F2) and did not meet the requirements for the tablet size uniformity test. The selected formula for this study was F2 with a PEG 4000 meltable binder of 20% because it produced tablets that met disintegration time with low water content.
A Study on the Optimization of the 1+X Certificate System and the Interaction between Teachers and Students in Preschool Education from the Perspective of Certificate Integration

Preschool education is a crucial part of children's growth and development, and it is also an indispensable part of the education system.Promoting the comprehensive development and ability enhancement of students is an important issue in current education reform.In this context, the emergence of the 1+X certificate system provides more diverse choices for students' career development.Therefore, this article aims to conduct in-depth research and exploration on the interaction between teachers and students in preschool education and the 1+X certificate system from the perspective of certificate integration, in order to provide useful reference and reference for future education reform and students' career development.
Systematic review: general correlation of STEMI in adult patients after COVID-19

Introduction: SARS-CoV-2 can damage the myocardium by viral invasion directly or indirectly through inflammation, endothelial activation and microvascular thrombosis, increasing the risk of cardiovascular complications, including Myocarditis, Arrhythmias and Acute Myocardial Infarction (AMI) , with emphasis on AMI with ST Supra (STEMI). Objective: To analyze the main aspects in the STEMI scenario after covid-19, focusing on elucidating whether there is a change in morbidity and mortality and how to manage it in the context of the general practitioner. Methods: Integrative literature review carried out in the bases of PUBMED, Virtual Health Library (BVS), SciELO and LILACS, with the following descriptors “Acute myocardial infarction” and “Covid-19” and the Boolean “AND”. The filters used were the “last 3 years” and “free text”. Non-relevant articles were excluded, 23 articles were included in this review. Results: Pulmonary implications, especially COVID-19, result in a worse prognosis in patients with STEMI, and early detection and implementation of optimal therapeutic strategies for the effective treatment of the condition are of paramount importance.