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The new software QSARINS‐Chem standalone version is a multiplatform tool, freely downloadable, for the in silico profiling of multiple properties and activities of organic chemicals. This software, which is based on the concept of the QSARINS‐chem module embedded in the QSARINS software, has been fully redesigned and redeveloped in the Java™ language. In addition to a selection of models included in the old module, the new software predicts biotransformation rates and aquatic toxicities of pharmaceuticals and personal care products in multiple organisms, and offers a suite of tools for the analysis of predictions. Furthermore, a comprehensive and transparent database of molecular structures is provided. The new QSARINS‐Chem standalone version is an informative and solid tool, which is useful to support the assessment of the potential hazard and risks related to organic chemicals and is dedicated to users which are interested in the application of QSARs to generate reliable predictions., The new software QSARINS‐Chem standalone version is a multiplatform tool to predict multiple endpoints for heterogeneous chemicals, including contaminants of emerging environmental concern and pharmaceuticals. The software allows for the analysis of the reliability of predictions in the applicability domain of the models, and is a valid support for decision making in chemical risk assessment procedures.

In article considered and investigated methods for reducing computational resource costs of iterative algorithms in the mathematical processor Wolfram Mathematica that based on preliminary preparation of initial data, management of intermediate data in the execution time, use and specific tuning of built-in functions: export to platform independent formats and dump files, compilation into Wolfram Virtual Machine code and machine code using a C-compiler, loop operators. Their nonobvious capabilities and features are shown. It has been proven that each of them, even individually, can significantlyaffect the reduction of such limited computer resources as amount of RAM and CPU time during calculations.

Purpose: To compare densitometry distribution analysis (DDA), a platform-independent method to assess corneal transparency, with traditional corneal densitometry. Methods: A total of 196 healthy participants aged 43.3 +/- 18.0 years (range 18-79 years) were recruited for assessment. All participants were assessed using the corneal densitometry analysis add-on to the standard software of the Oculus Pentacam HR. In addition, the Scheimpflug image corresponding to the horizontal meridian of each participant was exported for further analysis. For each image, corneal pixel intensities were statistically modeled. The estimated output parameters, alpha and beta, were compared with the corresponding densitometry values. The analysis was performed considering 3 concentric areas and 3 layers defined at fixed corneal depths. To demonstrate the platform independence of the DDA method, a randomly selected subset of 80 participants also had their eye measured with Oculus Corvis ST. Results: alpha and beta were found to be well correlated with densitometry, especially alpha (overall cornea; r = 0.89, P < 0.001), independent of the corneal region investigated. Changes in alpha, beta, and corneal densitometry were correlated with age. Conclusions: In this work, we presented the relationship of DDA with age and traditional corneal densitometry. The alpha and beta parameters, the output of DDA, are platform independent and can be used to investigate corneal clarity objectively.

In India, nearly 12 million visually impaired people had difficulty in identifying the currency notes. There is a need to develop an application that can recognize the currency note and provide a vocal message. In this paper, a novel lightweight Convolutional Neural Network (CNN) model is developed for efficient web and mobile applications to recognize the Indian currency notes. A new dataset for Indian currency notes has been created to train, validate, and test the CNN model. This CNN based web and mobile applications will provide a text and audio output based on the recognized currency note. The proposed model is developed using TensorFlow and improved by selection of optimal hyperparameter value, and compared with existing well known CNN architectures using transfer learning. Based on the results it has been observed that proposed model perform well over six widely used existing architectures in terms of training and testing accuracy.

Tillämpning av instrument vid utövande av explosiva idrottsgrenar, för att mäta en atlets kraftproduktion, kan användas vid analys för att fastställa hur bra en atlet presterar. Dessa typer av instrument finns på marknaden och är oftast tillämpade för sprintstarter och har funktionen att man kanfånga en atlet på film och koppla en händelse till det data som hämtats in via instrumentet. Nackdelenmed dessa system är att de antingen är väldigt dyra eller är i avsaknaden av att vara smidiga ochportabla då de oftast levereras med mycket kringutrustning.Syftet med detta examensarbete var att utveckla ett system bestående av en mobilapplikation, samtlogik till en mikrokontroll som registrerar den horisontella kraften vid sprintstarter från en analogkälla. Insamlade data beräknas och skickas sedan med hjälp av BLE-kommunikation till mobilapplikationen som presenterar kraftdata för användaren.Utöver detta var syftet även att få inhämtad kraftdata tidssynkroniserad mot en mobil enhet för attgöra det möjligt att utvärdera händelser mot externa källor som IMU och höghastighetsfilm.Resultatet av arbetet visar att det är möjligt att hämta samplade kraftdata från en mikrokontroll viaBLE-kommunikation. Det går även att presentera beräknade kraftdata visuellt för en slutanvändaremed en mobilapplikation och få händelserna tidssynkroniserade med hjälp av tidssynkroniseringsalgoritmer. Resultaten kan emellertid förbättras genom fortsatt utveckling av detta system. The application of instruments in the practice of explosive sports, to measure an athlete's force production, can be used to determine how well an athlete performs. Present instruments on the marketare most often applied to sprint starts and function to capture an athlete on film, and link the eventto the data retrieved from the instrument. The disadvantages with present day systems are that theyare either too expensive or lack flexibility and portability as they are usually delivered with a lot ofperipherals.The purpose of this thesis was to develop a system of a mobile application and logical code to a microcontroller that register horizontal forces at sprint starts from an analog source. The collected datawas calculated and transmitted using BLE communication to the mobile application which presentsthe force data to the user.Moreover, the purpose was also to have the acquired force data time-synchronized with a mobile device to make it possible to evaluate events against external sources such as IMU and high-speed film.The result for the logic developed throughout this work demonstrate that it is possible to retrievesampled force data from a microcontroller via BLE communication. It was possible to present thecalculated force data visually to an end user with a mobile application and have the events time synchronized using time synchronization algorithms. However, the results can be further improved bydevelopment of the system.

PURPOSE Molecular cancer subtyping is an important tool in predicting prognosis and developing novel precision medicine approaches. We developed a novel platform-independent gene expression–based classification system for molecular subtyping of patients with high-grade serous ovarian carcinoma (HGSOC). METHODS Unprocessed exon array (569 tumor and nine normal) and RNA sequencing (RNA-seq; 376 tumor) HGSOC data sets, with clinical annotations, were downloaded from the Genomic Data Commons portal. Sample clustering was performed by non-negative matrix factorization by using isoform-level expression estimates. The association between the subtypes and overall survival was evaluated by Cox proportional hazards regression model after adjusting for the covariates. A novel classification system was developed for HGSOC molecular subtyping. Robustness and generalizability of the gene signatures were validated using independent microarray and RNA-seq data sets. RESULTS Sample clustering recaptured the four known The Cancer Genome Atlas molecular subtypes but switched the subtype for 22% of the cases, which resulted in significant ( P = .006) survival differences among the refined subgroups. After adjusting for covariate effects, the mesenchymal subgroup was found to be at an increased hazard for death compared with the immunoreactive subgroup. Both gene- and isoform-level signatures achieved more than 92% prediction accuracy when tested on independent samples profiled on the exon array platform. When the classifier was applied to RNA-seq data, the subtyping calls agreed with the predictions made from exon array data for 95% of the 279 samples profiled by both platforms. CONCLUSION Isoform-level expression analysis successfully stratifies patients with HGSOC into groups with differing prognosis and has led to the development of robust, platform-independent gene signatures for HGSOC molecular subtyping. The association of the refined The Cancer Genome Atlas HGSOC subtypes with overall survival, independent of covariates, enhances the clinical annotation of the HGSOC cohort.

Due to the COVID 19 pandemic, the use of video conferencing and video calls increased in education and work, but also in the family environment due to the dangers of face-to-face meetings. Many elderly people suffer from hearing problems, which makes it difficult to take full advantage of video calls, which is why an automatic subtitling tool for conversations was designed using Speech to Text. It uses the free Mozilla DeepSpeech tool. This platform independent video calling software enables the elderly or anyone with hearing impairments to enjoy video calls. A transparent interface was designed that is superimposed on the video call, and has simple options that allow us to change the settings for the size and color of the text. It must also be taken into account that many elderly people have visual problems, so it is important to be able to adapt the text. Tests have been done in Spanish and English, but we have trained models that allow us to easily add dozens of languages.

Safety-critical embedded systems often need to meet dependability requirements such as strict input/output timing constraints. To meet the timing requirements, the code generation (e.g., C code) from timed models needs to determine the timing parameters that indicate when the code has to perform I/O with its platform. We propose a novel framework to determine such timing parameters from platform-independent timed models. Our framework involves two transformations. The first transformation systematically extends the platform-independent model by explicitly modeling input/output processing (e.g., sampling or interrupt-based) and the code invocation (e.g., periodic or aperiodic) mechanisms. Then, we verify if the resulting platform-specific model meets the timing requirements. In the case that the resulting model does not satisfy the timing requirements, we apply the second transformation to compensate the platform delay via adjusting the timing parameters at the code level. We formulate the adjustment mechanism using integer linear programming. If such an adjustment is feasible, generating the code with the new timing parameters guarantees the implemented system to meet the timing requirements. We validate our framework with case studies running on Patient-Controlled Analgesia (PCA) infusion pump platforms.

The term “mobile learning” (or “m-learning”) refers to using handheld phones to learn and wireless computing as a learning tool and connectivity technology. This paper presents and explores the latest mobile platform for teaching and studying programming basics. The M-Learning tool was created using a platform-independent approach to target the largest available number of learners while reducing development and maintenance time and effort. Since the code is completely shared across mobile devices (iOS, Android, and Windows Phone), students can use any smartphone to access the app. To make the programme responsive, scalable, and dynamic, and to provide students with personalised guidance, the core application is based on an analysis design development implementation and assessment (ADDIE) model implemented in the Xamarin framework. The application’s key features are depicted in a prototype. An experiment is carried out on BS students at a university to evaluate the efficacy of the generated application. A usefulness questionnaire is administered to an experimental community in order to determine students’ expectations of the developed mobile application’s usability. The findings of the experiment show that the application is considerably more successful than conventional learning in developing students’ online knowledge assessment abilities, with an impact size of 1.96. The findings add to the existing mobile learning literature by defining usability assessment features and offering a basis for designing platform-independent m-learning applications. The current findings are explored in terms of their implications for study and teaching practice.

Progressive Web Apps (PWA) is a concept of enhanced web apps which aim to erase the difference between web and native apps. The concept of PWA introduces several benefits, including simpler distribution and development, which makes web apps a viable option for many businesses. The installation process of a PWA is different from native apps and this study aims to understand whether or not it has an impact on the users will to install the PWA. PWA:s are installed directly from the browser, rather than an app marketplace. Said installation process is suspected to be unknown to many which might influence the impact. In this study, several papers on the topic are studied. A PWA is developed from scratch which is used as a platform for a user test, hosting a brief introduction of the topic as well as guiding participants through the installation process. In conjunction with the user test a survey is conducted to collect the impressions from their experience in the user test. The result of the survey shows indications that the suspected lack of knowledge and experience was correct, and that the installation process is not to complicated.Additionally, results show that many probably will not bother to install a PWA, even if it is available. Therefore, I argue that the installation process does have an impact in its current form. Alternatives to the installation process used in this study do exist and are discussed in this paper.

Current experimentation platforms for online controlled experimentation focus on the technical execution of an experiment. This makes them specific to the application domain, the expected infrastructure, and the used technology. Moreover, the experiment definitions include numerous implicit assumptions about the platform’s implementation. As a result, experiments are difficult to replicate or compare across platforms or even platform versions.

Das Ziel dieser Bachelorarbeit ist es, React Native, Flutter und Ionic zu vergleichen, drei weit verbreitete Frameworks um plattformübergreifende Anwendungen zu entwickeln. Da mobile Anwendungen immer wichtiger werden, sind verschiedene Frameworks entstanden, die diesen Prozess erleichtern. Diese Arbeit gibt einen ausführlichen Überblick über den verwendeten Ansatz für die Entwicklung, die wichtigsten Konzepte sowie technische Details jedes Frameworks basierend auf einer gründlichen Literaturrecherche unter Verwendung der Dokumentation und offiziellen Ressourcen der Frameworks sowie Quellen von unabhängigen Autoren. Als Leitfaden dient die folgende Forschungsfrage: Inwiefern können die Frameworks React Native, Flutter und Ionic anhand eines allgemeinen und eines technischen Standpunktes verglichen werden? Alle behandelten Frameworks haben das Ziel, Anwendungen zu erstellen, die nativ auf verschiedenen Plattformen ausgeführt werden können, allerdings gibt es Unterschiede, wie dieses Ziel erreicht wird. React Native ist ein JavaScript Framework, welches auf React basiert. Die Benutzeroberfläche wird dabei deklarativ mit Components erstellt und wird in einer Laufzeitumgebung des Frameworks ausgeführt. Flutter ist ein Dart Framework, das die Benutzeroberfläche aus Widgets erstellt und mit einer eigenen Engine rendert. Anwendungen werden für jede unterstützte Plattform in binäres Format kompiliert, um nativ ausgeführt werden zu können. Ionic verwendet die Internettechnologien HTML/CSS und JavaScript, um mithilfe von WebViews zu laufen. Im Prinzip wird dabei der Browser ohne Adressleiste verwendet und in die Anwendung integriert. Plattformunterstützung ist bis auf kleinere Unterschiede größtenteils gleichwertig zwischen den Frameworks. Auch bei der Erstellung der Benutzeroberfläche gibt es Gemeinsamkeiten. Im Vergleich ist React Native aktuell weiter verbreitet als Flutter, doch die Beliebtheit von Flutter steigt. Hinsichtlich Leistung weist React Native durchschnittlich eine kleine Anwendungsgröße auf und beansprucht weniger Arbeitsspeicher. Andererseits punktet Flutter mit weniger CPU-Auslastung sowie geringerem Arbeitsspeicheranstieg unter Last. Daher sticht kein Framework klar heraus, die Wahl des Frameworks hängt eher von den Voraussetzungen der Anwendung ab. This Bachelor’s thesis aims to compare React Native, Flutter and the Ionic Framework, which are three prominent frameworks for cross-platform development. As mobile applications are becoming more and more important, various frameworks emerged that aid the creation process. This paper provides a thorough overview of the relevant crossplatform approach, key concepts, and technical details of each framework based on a careful literature research using the documentation and official resources provided by the frameworks as well as papers and sources by independent authors. The research question serving as guideline is:How do the frameworks React Native, Flutter and Ionic compare from a general as well as a technical perspective? All covered frameworks share the goal of creating applications, that can run natively on different platforms. Although, different approaches are utilized to achieve this objective. React Native is a JavaScript framework based on React, which builds the user interface declaratively out of Components. React Native applications are executed in a runtime environment of the framework. Flutter is a framework using Dart, which creates the user interface from custom Widgets with a custom rendering engine. Applications are compiled into binary format for each platform to run natively. The Ionic Framework uses web technologies, HTML/CSS and JavaScript, to run with WebViews. Essentially, the browser without address bar is utilized and embedded in the application. Platform support is largely equivalent among frameworks apart from small differences. Similarities in the way how the user interface is created can also be observed. In comparison, React Native is still more prevalent than Flutter, however Flutter experiences a higher growth in popularity. Looking at performance, React Native applications exhibit a smaller package size and lower memory usage on average. Contrarily, Flutter’s applications feature less CPU utilization and a smaller increase in memory usage under load. Thus, no framework stands out but rather the choice is dependent on the requirements of the application. Bastian Lang Bachelorarbeit FH JOANNEUM 2022

Online controlled experimentation is an established technique to assess ideas for software features. Current approaches to conduct experimentation are based on experimentation platforms. However, each experimentation platform has its own explicit properties and implicit assumptions about an experiment. As a result, experiments are incomplete, difficult to repeat, and not comparable across experimentation platforms or platform versions. Our approach separates the experiment definition from the experimentation platform. This makes the experimentation infrastructure-less dependent on the experimentation platform. Requirements on the independent experiment definition are researched and an architecture to implement the approach is proposed. A proof-of-concept demonstrates the feasibility and achieved level of independence from the platform.

Diabetic retinopathy (DR) is a microvascular symptom where retina is affected by fluid leaks of the fragile blood vessels. Clinically, retinal Hemorrhages are one of the earliest indications of diabetic retinopathy disease. In this contrast, the Hemorrhage count is used to indicate the severity of this disease. The early detection of retinal Hemorrhages obviously prevents the incurable blindness of the DR patients. But, retinal Hemorrhage detection is still a challenging task. Highly reliable, accurate, platform independent retinal Hemorrhage detection method is still an open field. In this research article, we have reviewed the principal methodologies which are used to diagnose the retinal Hemorrhages under the diabetic retinopathy screening operations. This review article helps the researchers to develop a high quality retinal Hemorrhage screening method in future.

Summary Many experimental approaches have been developed to identify transcription start sites (TSS) from genomic scale data. However, experiment specific biases lead to large numbers of false-positive calls. Here, we present our integrative approach iTiSS, which is an accurate and generic TSS caller for any TSS profiling experiment in eukaryotes, and substantially reduces the number of false positives by a joint analysis of several complementary datasets. Availability and implementation iTiSS is platform independent and implemented in Java (v1.8) and is freely available at https://www.erhard-lab.de/software and https://github.com/erhard-lab/iTiSS. Supplementary information Supplementary data are available at Bioinformatics online.

Recent advances in spatially resolved transcriptomics (SRT) technologies have enabled comprehensive characterization of gene expression patterns in the context of tissue microenvironment. To elucidate spatial gene expression variation, we present SpaGCN, a graph convolutional network approach that integrates gene expression, spatial location and histology in SRT data analysis. Through graph convolution, SpaGCN aggregates gene expression of each spot from its neighboring spots, which enables the identification of spatial domains with coherent expression and histology. The subsequent domain guided differential expression (DE) analysis then detects genes with enriched expression patterns in the identified domains. Analyzing seven SRT datasets using SpaGCN, we show it can detect genes with much more enriched spatial expression patterns than competing methods. Furthermore, genes detected by SpaGCN are transferrable and can be utilized to study spatial variation of gene expression in other datasets. SpaGCN is computationally fast, platform independent, making it a desirable tool for diverse SRT studies.

Since aesthetics of a graphical user interface have become a sub-factor of the ISO 25010 standard on software quality, organisations start wondering how to practically evaluate this property in a consistent way. To address this challenge, we present a process for computing aesthetics at the level of a Concrete User Interface instead of Final User Interface to make it platform independent. This process consists of performing the following steps: reverse engineer a final user interface into its concrete equivalent, optionally edit it, and automatically compute ten aesthetic metrics at the level of concrete user interfaces.

Automotive industry related development activities have already been around for decades and huge communities have grown among an immense variety of applications. However, only a few of the developments have been made using open-source tooling due to security and safety issues. In the recent years, the operating system and framework organizations have overcome some of the aforementioned concerns in order to make open-source tooling more commonplace in automotive industry. In this paper, we present digital cluster and infotainment system software based on Yocto Project, an open-source embedded Linux distribution creation tool. Additionally, we discuss its benefits to some of the challenges in embedded Linux platform development with the hope that such developments will provide a basis for new improvements.

We consider the design of distributed algorithms that govern the manner in which agents contribute to a social sensing platform. Specifically, we are interested in situations where fairness among the agents contributing to the platform is needed. A notable example are platforms operated by public bodies, where fairness is a legal requirement. The design of such distributed systems is challenging due to the fact that we wish to simultaneously realise an efficient social sensing platform, but also deliver a predefined quality of service to the agents (for example, a fair opportunity to contribute to the platform). In this paper, we introduce iterated function systems (IFS) as a tool for the design and analysis of systems of this kind. We show how the IFS framework can be used to realise systems that deliver a predictable quality of service to agents, can be used to underpin contracts governing the interaction of agents with the social sensing platform, and which are efficient. To illustrate our design via a use case, we consider a large, high-density network of participating parked vehicles. When awoken by an administrative centre, this network proceeds to search for moving missing entities of interest using RFID-based techniques. We regulate which vehicles are actively searching for the moving entity of interest at any point in time. In doing so, we seek to equalise vehicular energy consumption across the network. This is illustrated through simulations of a search for a missing Alzheimer's patient in Melbourne, Australia. Experimental results are presented to illustrate the efficacy of our system and the predictability of access of agents to the platform independent of initial conditions., Comment: 18 pages, 6 figures

Since XML could benefit greatly from database support and more specifically from relational database systems, we study the methodology of modeling fuzzy spatiotemporal data in XML and relational database, respectively. Furthermore, the approaches of transforming fuzzy spatiotemporal data between XML and relational databases have been proposed as well. To accomplish this, fuzzy spatiotemporal data models are devised in XML and in relational database to capture the semantics of fuzzy spatiotemporal features, respectively. To allow for better and platform independent sharing of fuzzy spatiotemporal data stored in a relational format, a temporal edge approach is proposed to accomplish the transformation of fuzzy spatiotemporal data between XML and relational databases. The unique feature of our approach is that no schema information is required for transformation of fuzzy spatiotemporal data. Moreover, temporal, spatial, and fuzzy features of fuzzy spatiotemporal data in XML documents are taken into consideration. Such approach of transformation could provide a significant consolidation of the interoperability of fuzzy spatiotemporal data between XML and relational databases.

The modernization of the complex operating theatres comes along with new opportunities and challenges in particular in the areas of data processing, safety, Human-Machine-Interaction and interoperability.

During the software development developers often copy and paste fragments of code to achieve the desired result. Copying of code can lead to variety of errors, as well as can increase the size of the source and binary code. The problem of finding semantically similar pieces of code (clones) in binary code becomes actual due to the unavailability of source code of many software programs. The first part of the article is dedicated to the analysis of the existing methods for finding code clone in binary code. In the second part we provide a newly developed tool for finding code clones in binary code. The work of the tool is divided into three main stages. The first stage is based on the Binnavi [1] framework, which is responsible for generation of program dependence graphs (PDG). Program dependence graphs are generated using REIL (Reverse Engineering Intermediate Language). The usage of REIL language allows to generate graphs for multiple architectures (x86, x86-64, ARM, MIPS, PPC), thus providing the independence of the tool from the target architecture. In the second step code clones are found based on previously created graphs. Maximum common subgraph is built for each pair of graphs and based on it, code clones are detected. In the third stage, the detected clones are visualized for convenient analysis of the results.

This paper is focused on hand gestures and finger detection in still images and video sequences. The paper also contains a brief testing of different approaches to hand gesture detections as well as the realization of the platform independent application written in Python using OpenCV and PyTorch libraries, that can show a selected image or play a video sequence with highlighted recognized gestures.

A software implementation of the graphics library OpenGL SC (Safety Critical) for the promising real-time onboard operating system JetOS for Russian aircraft is considered. The library development adheres to the international standards. The library must support multicore CPUs and be platform independent. The use of software implementation considerably reduces the cost of onboard software certification because it does not require the developers of graphics processors (GPUs) to be involved, which is sometimes impossible. The rendering speed achieved on specialized processors with low power consumption without the use of hardware accelerators satisfies the requirements of aviation applications.

Thanks to the European integration, traveling abroad became more accessible for Ukrainians and the need to navigate the unfamiliar terrain is becoming urgent. Of course now there are many applications that improve the lives of tourists, for example, free Google maps are built into most modern smartphones on the Android platform. But sometimes you need information about the location of more than 20 nearby objects that do not allow you to make Google maps. In addition, seismic prospecting requires the placement of sensors at a certain distance from each other with the coverage of a certain area. We need tools to control the placement of sensors and display the percentage coverage of the territory, taking into account the range of sensors. Also recently, unmanned aerial vehicles are actively gaining their place in various spheres of life. Tools are needed for convenient control of such devices. The article proposes software for processing data from remote-distributed systems and searching for objects on the ground, which can be used to solve the above-described tasks. The proposed solution is developed using a modern stack of technologies, it is reliable, platform independent, relatively cheap and equipped with its own API.

The production of customized products requires a flexible production process. Cyber-Physical Production Systems (CPPS) are currently seen as one possibility to achieve this goal, since flexibility for the production processes can be achieved by enabling cross-company collaboration. However, to fully implement CPPS for heterogeneous production systems an application and hardware platform independent, robust, and distributed software solution is required. This paper proposes a novel design and implementation for a Multi-Agent System (MAS), that can be used to create application independent CPPS. To support a variety of hardware platforms, the MAS was designed as a lightweight implementation in the programming language ANSI C. The proposed concept was evaluated by different use cases and experiments, which, in a first step, evaluated the efficiency of design and implementation.

Background Overcoming the COVID-19 crisis requires new ideas and strategies for online communication of personal medical information and patient empowerment. Rapid testing of a large number of subjects is essential for monitoring and delaying the spread of SARS-CoV-2 in order to mitigate the pandemic’s consequences. People who do not know that they are infected may not stay in quarantine and, thus, risk infecting others. Unfortunately, the massive number of COVID-19 tests performed is challenging for both laboratories and the units that conduct throat swabs and communicate the results. Objective The goal of this study was to reduce the communication burden for health care professionals. We developed a secure and easy-to-use tracking system to report COVID-19 test results online that is simple to understand for the tested subjects as soon as these results become available. Instead of personal calls, the system updates the status and the results of the tests automatically. This aims to reduce the delay when informing testees about their results and, consequently, to slow down the virus spread. Methods The application in this study draws on an existing tracking tool. With this open-source and browser-based online tracking system, we aim to minimize the time required to inform the tested person and the testing units (eg, hospitals or the public health care system). The system can be integrated into the clinical workflow with very modest effort and avoids excessive load to telephone hotlines. Results The test statuses and results are published on a secured webpage, enabling regular status checks by patients; status checks are performed without the use of smartphones, which has some importance, as smartphone usage diminishes with age. Stress tests and statistics show the performance of our software. CTest is currently running at two university hospitals in Germany—University Hospital Ulm and University Hospital Tübingen—with thousands of tests being performed each week. Results show a mean number of 10 (SD 2.8) views per testee. Conclusions CTest runs independently of existing infrastructures, aims at straightforward integration, and aims for the safe transmission of information. The system is easy to use for testees. QR (Quick Response) code links allow for quick access to the test results. The mean number of views per entry indicates a reduced amount of time for both health care professionals and testees. The system is quite generic and can be extended and adapted to other communication tasks.

We achieve automated and reliable annotation of lipid species and their molecular structures in high-throughput data from chromatography-coupled tandem mass spectrometry using decision rule sets embedded in Lipid Data Analyzer (LDA; http://genome.tugraz.at/lda2). Using various low- and high-resolution mass spectrometry instruments with several collision energies, we proved the method's platform independence. We propose that the software's reliability, flexibility, and ability to identify novel lipid molecular species may now render current state-of-the-art lipid libraries obsolete.