Software Download Research Articles

Distributed Software Build Assurance for Software Supply Chain Integrity

Computing and networking are increasingly implemented in software. We design and build a software build assurance scheme detecting if there have been injections or modifications in the various steps in the software supply chain, including the source code, compiling, and distribution. Building on the reproducible build and software bill of materials (SBOM), our work is distinguished from previous research in assuring multiple software artifacts across the software supply chain. Reproducible build, in particular, enables our scheme, as our scheme requires the software materials/artifacts to be consistent across machines with the same operating system/specifications. Furthermore, we use blockchain to deliver the proof reference, which enables our scheme to be distributed so that the assurance beneficiary and verifier are the same, i.e., the node downloading the software verifies its own materials, artifacts, and outputs. Blockchain also significantly improves the assurance efficiency. We first describe and explain our scheme using abstraction and then implement our scheme to assure Ethereum as the target software to provide concrete proof-of-concept implementation, validation, and experimental analyses. Our scheme enables more significant performance gains than relying on a centralized server thanks to the use of blockchain (e.g., two to three orders of magnitude quicker in verification) and adds small overheads (e.g., generating and verifying proof have an overhead of approximately one second, which is two orders of magnitude smaller than the software download or build processes).

Research on the interactive design of intelligent assisted speech software

Nowadays, people need to make all kinds of speeches and presentations, both at school and at work. With the continuous development of science and technology, there is a lot of software on the market to assist people in making speeches. The aim of this article is to introduce the conception of a new type of presentation aid software and to analyse the development process of such software. Users from different backgrounds have evaluated the existing speech assistance software on the market, and this evaluation information will be based on the user reviews on the official website of the software download. Through the requirement analysis, the main problems and demands faced by the users in the presentation process will be identified. The software will be analysed and researched in terms of its design purpose, interface design, core functions, user experience and other aspects. The research conducted in this thesis provides users with new presentation assistance software that enables them to make more confident and smooth presentations. At the same time, this research provides useful references and discussions for the design and development of intelligent aids.

The impact of the home recording phenomenon on the Czech independent music scene

The paper explores the phenomenon of home recording and the impact of democratization of recording technologies in the Czech independent music scene. The main goal of the paper is to clarify the links between home-recordings and the emergence of new music, describe current trends in the field of home recording, network studios, distribution, and self-education, as well as outline the ethical dilemma of using illegal software in music production. The research approach is based on conducting qualitative contextual interviews with musicians across the entire independent music scene and on the content analysis of a questionnaire survey among musicians and music producers. The results of the research provide an essential characterization of the impact of home recording on the emergence of new music in the Czech environment and chart trends in illegal software downloading.

Computational application of internationally harmonized defined approaches to skin sensitization: DASS App.

Chemically induced skin sensitization, or allergic contact dermatitis, is a common occupational and public health issue. Regulatory authorities require an assessment of potential to cause skin sensitization for many chemical products. Defined approaches for skin sensitization (DASS) identify potential chemical skin sensitizers by integrating data from multiple non-animal tests based on human cells, molecular targets, and computational model predictions using standardized data interpretation procedures. While several DASS are internationally accepted by regulatory agencies, the data interpretation procedures vary in logical complexity, and manual application can be time-consuming or prone to error. We developed the DASS App, an open-source web application, to facilitate user application of three regulatory testing strategies for skin sensitization assessment: the Two-out-of-Three (2o3), the Integrated Testing Strategy (ITS), and the Key Event 3/1 Sequential Testing Strategy (KE 3/1 STS) without the need for software downloads or computational expertise. The application supports upload and analysis of user-provided data, includes steps to identify inconsistencies and formatting issues, and provides predictions in a downloadable format. This open-access web-based implementation of internationally harmonized regulatory guidelines for an important public health endpoint is designed to support broad user uptake and consistent, reproducible application. The DASS App is freely accessible via https://ntp.niehs.nih.gov/go/952311 and all scripts are available on GitHub ( https://github.com/NIEHS/DASS ).

Bitcoin in the BRICS: A Decade of Adoption and Economic Impact

The Bitcoin market has expanded its wings and overshadowed the globe at a remarkable speed over its short span of time. Introduced in 2008, this financial innovation possesses properties of both, a currency as well as an asset. Over the past decade, BRICS i.e. Brazil, Russia, India, China and South Africa is playing an increasingly important role in the global economy. Seeking the growing prominence of Bitcoin, the present study aims at exploring its status of Bitcoin in the BRICS nations. Using the secondary data of Google Trend time series, Google Trend country interest point and Bitcoin core software download, its status in BRICS nations is analysed. The findings imply that amongst the BRICS, China and Russia are the economies which are highly embracing this new fintech innovation. This financial mechanism can facilitate increased free flow of capital and international trade, thus,integrating the international financial market to ensure sustainable development of BRICS.

RepVGG-SimAM: An Efficient Bad Image Classification Method Based on RepVGG with Simple Parameter-Free Attention Module

With the rapid development of Internet technology, the number of global Internet users is rapidly increasing, and the scale of the Internet is also expanding. The huge Internet system has accelerated the spread of bad information, including bad images. Bad images reflect the vulgar culture of the Internet. They will not only pollute the Internet environment and impact the core culture of society but also endanger the physical and mental health of young people. In addition, some criminals use bad images to induce users to download software containing computer viruses, which also greatly endanger the security of cyberspace. Cyberspace governance faces enormous challenges. Most existing methods for classifying bad images face problems such as low classification accuracy and long inference times, and these limitations are not conducive to effectively curbing the spread of bad images and reducing their harm. To address this issue, this paper proposes a classification method (RepVGG-SimAM) based on RepVGG and a simple parameter-free attention mechanism (SimAM). This method uses RepVGG as the backbone network and embeds the SimAM attention mechanism in the network so that the neural network can obtain more effective information and suppress useless information. We used pornographic images publicly disclosed by data scientist Alexander Kim and violent images collected from the internet to construct the dataset for our experiment. The experimental results prove that the classification accuracy of the method proposed in this paper can reach 94.5% for bad images, that the false positive rate of bad images is only 4.3%, and that the inference speed is doubled compared with the ResNet101 network. Our proposed method can effectively identify bad images and provide efficient and powerful support for cyberspace governance.

PRScalc, a privacy-preserving calculation of raw polygenic risk scores from direct-to-consumer genomics data.

Currently, the Polygenic Score (PGS) Catalog curates over 400 publications on over 500 traits corresponding to over 3000 polygenic risk scores (PRSs). To assess the feasibility of privately calculating the underlying multivariate relative risk for individuals with consumer genomics data, we developed an in-browserPRS calculator for genomic data that does not circulate any data or engage in any computation outside of the user's personal device. A prototype personal risk score calculator, created for research purposes, was developed to demonstrate how the PGS Catalog can be privately and readily applied to readily available direct-to-consumer genetic testing services, such as 23andMe. No software download, installation, or configuration is needed. The PRS web calculator matches individual PGS catalog entries with an individual's 23andMe genome data composed of 600k to 1.4 M single-nucleotide polymorphisms (SNPs). Beta coefficients provide researchers with a convenient assessment of risk associated with matched SNPs. This in-browser application was tested in a variety of personal devices, including smartphones, establishing the feasibility of privately calculating personal risk scores with up to a few thousand reference genetic variations and from the full 23andMe SNP data file (compressed or not). The PRScalc web application is developed in JavaScript, HTML, and CSS and is available at GitHub repository (https://episphere.github.io/prs) under an MIT license. The datasets were derived from sources in the public domain: [PGS Catalog, Personal Genome Project].

Tiny-count: a counting tool for hierarchical classification and quantification of small RNA-seq reads with single-nucleotide precision.

tiny-count is a highly flexible counting tool that allows for hierarchical classification and quantification of small RNA reads from high-throughput sequencing data. Selection rules can be used to filter reads by 5' nucleotide, length, position of alignments in relation to reference features, and by the number of mismatches to reference sequences. tiny-count can quantify reads aligned to a genome or directly to small RNA or transcript sequences. With tiny-count, users can quantify a single class of small RNAs or multiple classes in parallel. tiny-count can resolve distinct classes of small RNAs, for example, piRNAs and siRNAs, produced from the same locus. It can distinguish small RNA variants, such as miRNAs and isomiRs, with single-nucleotide precision. tRNA, rRNA, and other RNA fragments can also be quantified. tiny-count can be run alone or as part of tinyRNA, a workflow that provides a basic all-in-one command line-based solution for small RNA-seq data analysis, with documentation and statistics generated at each step for accurate and reproducible results. tiny-count and other tinyRNA tools are implemented in Python, C++, Cython, and R, and the workflow is coordinated with CWL. tiny-count and tinyRNA are free and open-source software distributed under the GPLv3 license. tiny-count can be installed via Bioconda (https://anaconda.org/bioconda/tiny-count) and both tiny-count and tinyRNA documentation and software downloads are available at https://github.com/MontgomeryLab/tinyRNA. Reference data, including genome and feature information, for certain species can be found at https://www.MontgomeryLab.org.

Blockchain Malware Detection Tool Based on Signature Technique

Downloading software or files from the internet can be risky as it is hard to know if they are safe and do not contain viruses. Traditional anti-virus software uses a centralized database to identify malware, but this method has drawbacks due to its centralized design, which creates a single point of failure. Blockchain technology has become a solution to many problems faced in the tech industry, including the need for a decentralized and secure way for users to verify and confirm the presence of malware in a file. The decentralized database, permanence, immutability, anonymity, and auditability of blockchain technology make it an ideal solution for malware detection. In fact, malware data has been compiled in databases that antivirus manufacturers use to identify malware. However, blockchain technology provides a more secure and decentralized way to store this data, which can be shared between users and allow them to rapidly update whether a file is safe or not. This paper presents a blockchain-based malware detection tool designed to enhance security and prevent the spread of malware in digital networks. The tool based on Java programming language incorporates signaturebased methods to effectively identify and detect malicious codes in malware. The proposed tool contributes to the field of cybersecurity by leveraging blockchain technology to enhance malware detection process.

Hemşirelik Eğitiminde Yeni Yöntemler: Kaçış Odası ve Sanal Kaçış Odası

New Methods in Nursing Education: Escape Room and Virtual Escape Room The COVID-19 pandemic has caused universities to switch to distance education at intervals. The trainer should meet the wishes of his students when planning and implementing online education. Classes should be an entertaining and instructive experience for their students. To guide the gamification method in education as it makes teaching-learning processes more interesting. The virtual escape room app allows its students to actively enter learning paths. In nursing education, the virtual escape room application can be used for all field courses. They will try to get rid of them by arranging the questions about the field of nursing education through the Google Form and answering the questions of the students. Software downloads with virtual escape room will have fun learning. In addition, we will contribute to clinical training from these practice courses. In these guidelines, the importance of the virtual escape room, which is a new approach in distance education, in main education training is emphasized. Keywords: Nursing, distance education, game-based learning, virtual escape room,

VOICE CHAT WEB APP USING WEBRTC

Technology improvements have made it possible to communicate more effectively. New technologies have improved existing communication routes. Some real-time communication systems include limitations, such as the need for additional software plugins and downloads to enable real-time communication, as well as security problems. Web Real-time Communication (WebRTC) is a technology that may be able to assist in the resolution of these issues. Thanks to advancements in internet technology, people may now easily access the internet. With the help of technological improvements, the internet is providing an increasing variety of services, all of which can be virtualized. People's internet communication has become ingrained in their daily lives. People used to communicate with one another by exchanging voice chat messages via the internet.In order to achieve scalability, the platform also makes use of cloud computing. The iterative platform architectural design is revealed, as well as some preliminary scalability analysis results.

P074 Three models of pulse oximeters are within specifications when assessed using a benchtop pulse oximeter simulator

Abstract To assess possible SpO2 accuracy differences between 3 different (oximeter & software) testing techniques. Hypothesised that differences in SpO2 would be within the oximeter manufacturer’s specification. A synthetic digit, OX-1 OxSim® Optical SpO2 Pulse Oximeter Simulator (Pronk Technologies Inc., Sun Valley, CA) can provide simulated SpO2 & HR values : 85% (80BPM), 98% (80BPM), 98% (140BPM), 99% (80BPM) at low perfusion and 95% (40BPM) low HR. Simulated SpO2 delivered for 5 minutes, average calculated from signal recorded with corresponding download software: Rad-5 (Masimo, Irvine, CA, USA, 2sec averaging time) - Visi download (Stowood Scientific, Oxford, UK), the Rad-7 (Masimo, Irvine, CA, USA, 2-4sec averaging time) - PSG 4 (Compumedics, Melbourne, Australia), Wrist-Ox2® (Nonin Medical Inc, Plymouth, MN, USA, 3sec averaging time) - Noxturnal software (Nox Medical Inc, Reykjavik, Iceland). Four devices for each model Rad-5, Rad-7 and Nox Wrist-Ox2® were examined at 5 SpO2 & HR settings. The SpO2 downloaded from each device was compared with the OxSim® values. Oximeter reading v OxSim® : at 85%, Rad-5 (y = -0.146x + 14.375, R² = 0.9627 bias 0.606), Rad-7 (y = -0.0897x + 8.737, R² = 0.5295 bias 0.295), Wrist-Ox2® (y = -0.0161x + 1.2261, R² = 0.0481 bias -0.281). At all other comparison values, including low perfusion and low HR, all values fell within +/- 2% SpO2. Small differences in the measured SpO2 for the 3 oximeter models & paired software were noted, however all devices gave SpO2 values within 2% of simulated SpO2 values as per manufacturer specifications.

The Compressive Strength of Adobe Block Masonry Walls

Masonry is a composite material that is fabricated using natural and/ or artificial units that are joined together with mortar. The natural units include stone amongst others, while the artificial includes bricks and blocks that could be made out of concrete or fired clay products as well as adobe (stabilised or unsterilized). The wide spectrum of the units used in masonry wall fabrication demands that appropriate tests should be conducted to determine their compressive strength and by extension the effectiveness of the wall masonry in performing its inherent architectural design functions of the building such as environmental protection of its inhabitants. An experiment was conducted (i) to determine the structural suitability of stabilised adobe block masonry under uniform and concentrated loading and (ii) to determine adobe block masonry design guidelines. All block units for the test masonry were fabricated using the appropriate Portland cement: sand mix of 1: 11 identified using mix trials for the adobe block categories that were greater than 11.1 N/mm2. The concrete mix was prepared using a concrete mixer and moulded. Moulding was conducted using modified standard 6-inch adobe block mould that led to a 300 mm x 150 mm x 100 mm block. The blocks were cured for seven days under polythene sheets. There were two sets of masonry tests running in parallel; (1) the compressive strengths of the simulated stabilised adobe block masonry under uniformly distributed loads (prism tests) with three different mortar regimes; weak (1:8), medium (1:5) and strongest (1:3) and (2) masonry characteristic compressive strengths under concentrated loads (wall tests) using only the medium mortar mix (1:5). Prism specimens (300 mm x 150 mm x 460 mm) and wall specimen (920 mm x 150 mm x 460 mm) had three replications and cured under laboratory ambient environment conditions for 28 days prior to testing. Test specimens were subjected to compression under uniaxial uniformly distributed loads applied vertically and continuously at a rate of 1 N/mm2/minute to failure. There were 3 wall tests running parallel for each of the 4 block Portland cement proportions at the 1:5 mortar mixes. Data were analysed using MS Excel featuring descriptive statistics. Confidence intervals (95%) using the Student t-test were used to compare variations between and within specimens. Vertical deformations and time to failure were analysed using video tapes through Daub 2.0, video editing free download software. The results indicated that with the prism tests the increase in Portland cement masonry block proportion from 5% - 15% (3.0 N/mm2 - 15.4 N/mm2) significantly increased the masonry characteristic compressive strength at all mortar compressive strengths. However, the masonry characteristic compressive strengths were significantly less than that of the corresponding block. This trend was similar to the wall tests. At high block and low mortar compressive strengths, prism failure was initially by vertical tensile cracking through the mortar followed by the block, whereas at high masonry block and mortar strengths, failure was sudden and typically manifested by initial vertical tensile cracking and eventually side splitting of the block and mortar.Wall failure at low concentrated loads, was initially manifested by vertical cracks along the joint directly below the load point, and at its edges on both sides of the wall. The proposed design guidelines for stabilised adobe block masonry included mortar designations (a), (b) and (c) with masonry mortar proportions by volume (cement: sand) of 1:3, 1:5, and 1:8, respectively, under uniform and concentrated loads were proposed for use in adobe block masonry for agricultural structures.

Complete Genome Sequence of Vibrio maritimus BH16, a Siderophore-Producing Mutualistic Bacterium Isolated from Diatom Skeletonema costatum.

Complete Genome Sequence of Vibrio maritimus BH16, a Siderophore-Producing Mutualistic Bacterium Isolated from Diatom Skeletonema costatum.

Constellation: An Open-Source Web Application for Unsupervised Systematic Trend Detection in High-Resolution Mass Spectrometry Data.

The increasing popularity of high-resolution mass spectrometry has led to many custom software solutions to process, interpret, and reveal information from high-resolution mass spectra. Although there are numerous software packages for peak-picking, calibration, and formula-finding, there are additional layers of information available when it comes to detecting repeated motifs from polymers or molecules with repeating structures or products of chemical or biochemical transformations that exhibit systematic, serial chemical changes of mass. Constellation is an open-source, Python-based web application that allows the user first to expand their high-resolution mass data into the mass defect space, after which a trend finding algorithm is used for supervised or unsupervised detection of repeating motifs. Many adjustable parameters allow the user to tailor their trend-search to target particular chemical moieties or repeating units, or search for all potential motifs within certain limits. The algorithm has a built-in optimization routine to provide a good starting point for the main trend finding parameters before user customization. Visualization tools allow interrogation of the data and any trends/patterns to a highly specific degree and save publication-quality images directly from the interface. As Constellation is deployed as a web application, it is easily used by anyone with a web browser; no software download or high-powered computer is required, as computations are performed on a remote high-powered data server run by our group.

The automated pancreas: A review of technologies and clinical practice.

Insulin pumps and glucose sensors are effective in improving diabetes therapy and reducing acute complications. The combination of both devices using an algorithm-driven interoperable controller makes automated insulin delivery (AID) systems possible. Many AID systems have been tested in clinical trials and have proven safety and effectiveness. However, currently, none of these systems are available for routine use in children younger than 6 years in Europe. For continued use, both users and prescribers must have sound knowledge of the features of the individual AID systems. Presently, all systems require various user interactions (e.g. meal announcements) because fully automated systems are not yet developed. Open-source systems are non-regulated variants to circumvent existing regulatory conditions. There are risks here for both users and prescribers. To evaluate AID therapy, the metric data of the glucose sensors, 'time in target range' and 'glucose management index', are novel recognized and suitable parameters allowing a consultation based on real glucose and insulin pump download data from the daily life of people with diabetes. Read out via cloud-based software or automatic download of such individual treatment data provides the ideal technical basis for shared decision-making through telemedicine, which must be further evaluated for general use.

Real-Time Interactive Simulations of Complex Ionic Cardiac Cell Models in 2D and 3D Heart Structures with GPUs on Personal Computers.

Cardiac modeling in heart structures for the study of arrhythmia mechanisms requires the use of software that runs on supercomputers. Therefore, computational studies are limited to groups with access to computer clusters and personnel with high-performance computing experience. We present how to use and implement WebGL programs via a custom-written library to run and visualize simulations of the most complex ionic models in 2D and 3D, in real time, interactively using the multi-core GPU of a single computer. We use Abubu.js, a library we developed for solving partial differential equations such as those describing crystal growth and fluid flow, along with a newly implemented visualization algorithm, to simulate complex ionic cell models. By combining this library with JavaScript, we allow direct real-time interactions with simulations. We implemented: 1) modification of any model parameters and equations at any time, with direct access to the code while it runs, 2) electrode stimulation anywhere in the 2D/3D tissue with a mouse click, 3) saving the solution of the system at any time to re-initiate the dynamics from saved initial conditions, and 4) rotation/visualization of 3D structures at any angle. As examples of this modeling platform, we implemented a phenomenological cell model and the human ventricular OVVR model (41 variables). In 2D we illustrate the dynamics in an annulus, disk, and square tissue; in 2D and 3D porcine ventricles, we show the initiation of functional/anatomical reentry, spiral wave dynamics in different regimes, initiation of early afterdepolarizations (EADs), and the effects of model parameter variations in real time. We present the first simulations of complex models in anatomical structures with enhanced visualization and extended interactivity that run on a single PC, without software downloads, and as fast as in real-time even for 3D full ventricles.

Analysis and Research on Influencing Factors of University Teachers and Students Management Based on Computer System

Teacher computer application is the responsibility and mission of colleges and universities, whether Internet university teachers are willing to contribute much to student management and social progress. It is the responsibility and mission of colleges and universities to do well in Internet university teachers to perform their duties, play a good role, and establish moral education the important driving force and source of the key role of cultivating people are directly related to the healthy development of college student management. With the continuous development of technology. It is a basic skill for university teachers to master computer applications. The paper analyzes the most influential factors of university construction on student management through analysis and its own management experience, and explores an effective way and influencing factors to realize teacher and student management with the help of app management software downloads on the university Internet. The influencing factors in various aspects of student management are analyzed.

The Johns Hopkins Post-Acute COVID-19 Team (PACT): A Multidisciplinary, Collaborative, Ambulatory Framework Supporting COVID-19 Survivors

The Johns Hopkins Post-Acute COVID-19 Team (PACT): A Multidisciplinary, Collaborative, Ambulatory Framework Supporting COVID-19 Survivors

SYSTEM OF AUTOMATIC DETERMINATION OF TEXT TONE

In the work, the methods of sentiment analysis of the text are considered. The system of emotion detection of Ukrainian-language texts based on dictionaries and rules is proposed. The developed software downloads text information in various formats and carries out tokenization and lemmatization procedures using the Python TokenizeUKand pymorphy2 libraries. As a result, an array of words in the basic grammatical form using for determining the tone of the text is formed. The obtained word base was analyzed using a tonal dictionary of the Ukrainian language. A dictionary of synonyms was used to expand the vocabulary. If there is no word in the tonal dictionary, the tonality value of its nearest synonym is used for further calculations. Computer analysis of textual information was performed in five emotional categories namely: very positive, positive, neutral, negative, and very negative tone of words. To increase the accuracy and validity of sentiment analysis, coefficients were used that take into account the various emotional load of words of different speech parts and their dissimilar impact on the overall assessment of the text tone. The proposed system of sentiment analysis assumes a greater emotional influence of adjectives compared to verbs and nouns. Since the tone of textual information and the expression of human emotions are subjective factors, the means of fuzzy modeling are used for sentiment analysis of texts. This approach makes it possible to take into account the contribution of all emotional categories in the final evaluation of the text. As a result of an aggregation of normalized data on different emotion categories and defuzzification by the method of the center of gravity for one-element sets, a quantitative estimate of the emotional tone of texts was obtained. The developed system of sentiment analysis was tested on Ukrainian-language texts from different sources and different emotional tones. The use of additional tools provides the analysis of more words in the text and the degree of their emotional tone, which leads to more correct detection of the tone of the whole text. Key words : computer text analysis, sentiment analysis, tokenization, tonality dictionary, fuzzy modeling.