TASKers: A Whole-System Generator for Benchmarking Real-Time-System Analyses

Implementation-based benchmarking of timing and schedulability analyses requires system code that can be executed on real hardware and has defined properties, for example, known worst-case execution times (WCETs) of tasks. Traditional approaches for creating benchmarks with such characteristics often result in implementations that do not resemble real-world systems, either due to work only being simulated by means of busy waiting, or because tasks have no control-flow dependencies between each other. In this paper, we address this problem with TASKers, a generator that constructs realistic benchmark systems with predefined properties. To achieve this, TASKers composes patterns of real-world programs to generate tasks that produce known outputs and exhibit preconfigured WCETs when being executed with certain inputs. Using this knowledge during the generation process, TASKers is able to specifically introduce inter-task control-flow dependencies by mapping the output of one task to the input of another

Whole-System Worst-Case Energy-Consumption Analysis for Energy-Constrained Real-Time Systems

Although internal devices (e.g., memory, timers) and external devices (e.g., transceivers, sensors) significantly contribute to the energy consumption of an embedded real-time system, their impact on the worst-case response energy consumption (WCRE) of tasks is usually not adequately taken into account. Most WCRE analysis techniques, for example, only focus on the processor and therefore do not consider the energy consumption of other hardware units. Apart from that, the typical approach for dealing with devices is to assume that all of them are always activated, which leads to high WCRE overestimations in the general case where a system switches off the devices that are currently not needed in order to minimize energy consumption. In this paper, we present SysWCEC, an approach that addresses these problems by enabling static WCRE analysis for entire real-time systems, including internal as well as external devices. For this purpose, SysWCEC introduces a novel abstraction, the power-state-transition graph, which contains information about the worst-case energy consumption of all possible execution paths. To construct the graph, SysWCEC decomposes the analyzed real-time system into blocks during which the set of active devices in the system does not change and is consequently able to precisely handle devices being dynamically activated or deactivated

Whole-System WCEC Analysis for Energy-Constrained Real-Time Systems (Artifact)

Although internal devices (e.g., memory, timers) and external devices (e.g., sensors, transceivers) significantly contribute to the energy consumption of an embedded real-time system, their impact on the worst-case response energy consumption (WCRE) of tasks is usually not adequately taken into account. Most WCRE analysis techniques only focus on the processor and neglect the energy consumption of other hardware units that are temporarily activated and deactivated in the system. To solve the problem of system-wide energy-consumption analysis, we present SysWCEC, an approach that addresses these problems by enabling static WCRE analysis for entire real-time systems, including internal as well as external devices. For this purpose, SysWCEC introduces a novel abstraction, the power-state--transition graph, which contains information about the worst-case energy consumption of all possible execution paths. To construct the graph, SysWCEC decomposes the analyzed real-time system into blocks during which the set of active devices in the system does not change and is consequently able to precisely handle devices being dynamically activated or deactivated. In this artifact evaluation, which accompanies our related conference paper, we present easy to reproduce WCRE analyses with the SysWCEC framework using several benchmarks. The artifact comprises the generation of the power-state--transition graph from a given benchmark system and the formulation of an integer linear program whose solution eventually yields safe WCRE bounds

Worst-Case Energy Consumption Analysis for Energy-Constrained Embedded Systems

Abstract—The fact that energy is a scarce resource in many embedded real-time systems creates the need for energy-aware task schedulers, which not only guarantee timing constraints but also consider energy consumption. Unfortunately, existing approaches to analyze the worst-case execution time (WCET) of a task usually cannot be directly applied to determine its worst-case energy consumption (WCEC) due to execution time and energy consumption not being closely correlated on many state-of-the-art processors. Instead, a WCEC analyzer must take into account the particular energy characteristics of a target platform. In this paper, we present 0g, a comprehensive approach to WCEC analysis that combines different techniques to speed up the analysis and to improve results. If detailed knowledge about the energy costs of instructions on the target platform is available, our tool is able to compute upper bounds for the WCEC by statically analyzing the program code. Otherwise, a novel ap-proach allows 0g to determine the WCEC by measurement after having identified a set of suitable program inputs based on an auxiliary energy model, which specifies the energy consumption of instructions in relation to each other. Our experiments for three target platforms show that 0g provides precise WCEC estimates. I

Long noncoding RNA H19X is a key mediator of TGF-beta-driven fibrosis

TGFβ is a master regulator of fibrosis, driving the differentiation of fibroblasts into apoptosis resistant myofibroblasts and sustaining the production of extracellular matrix (ECM) components. Here, we identify the nuclear lncRNA H19X as a master regulator of TGFβ-driven tissue fibrosis. H19X was consistently upregulated in a wide variety of human fibrotic tissues and diseases and was strongly induced by TGFβ, particularly in fibroblasts and fibroblast-related cells. Functional experiments following H19X silencing revealed that H19X is an obligatory factor for the TGFβ-induced ECM synthesis as well as differentiation and survival of ECM-producing myofibroblasts. We showed that H19X regulates DDIT4L gene expression, specifically interacting with a region upstream of DDIT4L gene and changing the chromatin accessibility of a DDIT4L enhancer. These events resulted in transcriptional repression of DDIT4L and, in turn, in increased collagen expression and fibrosis. Our results shed light on key effectors of the TGFβ-induced ECM remodeling and fibrosis

Experimental Validation of the Suitability of Virtualization-Based Replication for Fault Tolerance in Real-Time Control of Electric Grids

Real-time control systems (RTCSs) perform complex control and require low response times. They typically use third-party software libraries and are deployed on generic hardware, which suffer from delay faults that can cause serious damage. To improve availability and latency, the controllers in RTCSs are replicated on physical nodes. As physical replication is expensive, we study the alternative of exploiting virtualization technology to run multiple virtual replicas on the same physical node. As virtual replicas share the same resources, the delay faults they experience might be correlated, which would make such a replication method unsuitable. We conduct several experiments with an RTCS for electric grids, with multiple virtual replicas of its controller. We find that although the delay of a virtual machine is higher than of a physical machine, the correlation between high delays among the virtual replicas is insignificant, causing an overall improved availability.We conclude that virtual replication is indeed applicable to certain RTCSs, as it can improve reliability without added cost

Pulmonary Hypertension in Patients With COPD : Results From the Comparative, Prospective Registry of Newly Initiated Therapies for Pulmonary Hypertension (COMPERA)

Funding Information: FUNDING/SUPPORT: This work was supported by the German Center of Lung Research (DZL). COMPERA is funded by unrestricted grants from Acceleron , Actelion Pharmaceuticals , Bayer , OMT , and GSK . Funding Information: Financial/nonfinancial disclosures: The authors have reported to CHEST the following: C. D. V. has received fees for serving as a speaker, consultant, and an advisory board member from the following companies: Acceleron, Actelion, Bayer, Dompè, GSK, Janssen, MSD, Pfizer, and United Therapeutics. M. M. H. has received speaker fees, honoraria, or both for consultations from Acceleron, Actelion, Bayer, Janssen, MSD, and Pfizer. D. H. has received travel compensation from Actelion, Boehringer-Ingelheim, and Shire. D. P. has received fees for consultations from Actelion, Aspen, Biogen, Bayer, Boehringer Ingelheim, Johnson & Johnson, Novartis, Daiichi Sankyo, Sanofi, and Pfizer. N. B. received speaker fees from Bayer/MSD and Actelion/Janssen. K. M. O. has received speaker fees from Actelion, Bayer, and Lilly. H. A. G. has received honorariums for consultations, speaking at conferences, or both from Bayer HealthCare AG, Actelion, Encysive, Pfizer, Ergonex, Lilly, and Novartis. He is member of advisory boards for Bayer HealthCare AG, Pfizer, GSK, Actelion, Lilly, Merck, Encysive, and Ergonex. He also has received governmental grants from the German Research Foundation (DFG), Excellence Cluster Cardiopulmonary Research (ECCPS), State Government of Hessen (LOEWE), and the German Ministry for Education and Research (BMBF). M. Held has received speaker fees and honoraria for consultations from Actelion, Bayer, Boehringer Ingelheim Pharma, Encysive, Glaxo Smith Kline, Lilly, Janssen, Novartis, Pfizer, Nycomed, Roche, and Servier. H. K. has received speaker fees and honoraria for consultations from Actelion, Bayer, GSK, Lilly, Novartis, Pfizer, and United Therapeutics and research grants from Actelion. T. J. L. has received speaker fees, honoraria for consultations, and research funding from Actelion, Acceleron Pharma, Bayer, GSK, Janssen-Cilag, MSD, and Pfizer. S. R. has received honoraria for lectures, consultancy, or both from Actavis, Actelion, Bayer, GSK, Lilly, Novartis, Pfizer, and United Therapeutics. D. D. declares honoraria for lectures, consultancy, or both from Actelion, Bayer, GSK, Novartis, Pfizer, and Servier; participation in clinical trials for Actelion, Bayer, GSK, and Novartis; and research support to his institution from Actelion. R. B. has received fees from GSK, UT, Dompè, Bayer, Ferrer, MSD, and AOP Orphan Pharmaceuticals. M. C. has received fees for consulting from GSK and speaker fees from Bayer and Pfizer. M. Halank has received speaker fees and/or honoraria for consultations from Acceleron, Actelion, AstraZeneca, Bayer, BayerChemie, GSK, Janssen, MSD and Novartis. A. V.-N. reports receiving lecture fees from Actelion, Bayer, GlaxoSmithKline, Lilly, and Pfizer; serves on the advisory board of Actelion and Bayer; and serves on steering committees for Actelion, Bayer, GlaxoSmithKline, and Pfizer. D. S. received fees for lectures, consulting, research support, or a combination thereof to his institution from Actelion, Bayer, GSK, and Pfizer. R. E. has received speaker fees and honoraria for consultations from Actelion, Bayer, GSK, Lilly, Novartis, Pfizer, and United Therapeutics. J. S. R. G. has received speaker fees and honoraria for consultations from Acceleron, Actelion, Bayer, Complexa, GSK, MSD, Pfizer, and United Therapeutics. M. D. has received investigator, speaker, consultant, or steering committee member fees from Actelion, Aventis Pharmaceuticals, Bayer, Eli Lilly, Encysive, Gilead (Myogen), GlaxoSmithKline, Nippon Shyniaku, Novartis, Pfizer, Schering, and United Therapeutics; educational grants from Actelion, GlaxoSmithKline, Pfizer, and Therabel; and research grants from Actelion, Pfizer, and GlaxoSmithKline. She is holder of the Actelion Chair for Pulmonary Hypertension and of the GSK chair for research and education in pulmonary vascular pathology at the Catholic University of Leuven. J. C. has received fees for consultancies and lectures from Actelion, Bayer, GSK, United Therapeutics, and Pfizer as well as equipment and educational grants from Actelion. C. O. has received speaker fees and honoraria for consultations from Actelion, Bayer, GSK, Lilly, Novartis, and Pfizer. H. K. has received honoraria for lectures, consultancy, or both from Actelion-Janssen, Amicus Therapeutics, and Bristol Meyers Squibb. O. D. has or had consultancy relationships, has received research funding (last 3 years), or both from AbbVie, Actelion, Acceleron Pharma, Amgen, AnaMar, Baecon Discovery, Blade Therapeutics, Bayer, Boehringer Ingelheim, Catenion, Competitive Corpus, Drug Development International Ltd, CSL Behring, ChemomAb, Ergonex, Galapagos NV, Glenmark Pharmaceuticals, GSK, Horizon (Curzion) Pharmaceuticals, Inventiva, Italfarmaco, iQone, iQvia, Kymera Therapeutics, Lilly, medac, Medscape, Mitsubishi Tanabe Pharma, MSD, Novartis, Pfizer, Roche, Sanofi, Target Bio Science, and UCB in the area of potential treatments of scleroderma and its complications including PH. In addition, he has a patent mir-29 for the treatment of systemic sclerosis issued (US8247389, EP2331143). E. G. has received honoraria for consultations, speaking at conferences, or both from Bayer/MSD, Actelion/Janssen, GWT-TUD, and OMT/United Therapeutics. None declared (A. S.). Publisher Copyright: © 2021 The AuthorsBackground: Pulmonary hypertension (PH) in COPD is a poorly investigated clinical condition. Research Question: Which factors determine the outcome of PH in COPD? Study Design and Methods: We analyzed the characteristics and outcome of patients enrolled in the Comparative, Prospective Registry of Newly Initiated Therapies for Pulmonary Hypertension (COMPERA) with moderate or severe PH in COPD as defined during the 6th PH World Symposium who received medical therapy for PH and compared them with patients with idiopathic pulmonary arterial hypertension (IPAH). Results: The population included incident patients with moderate PH in COPD (n = 68), with severe PH in COPD (n = 307), and with IPAH (n = 489). Patients with PH in COPD were older, predominantly male, and treated mainly with phosphodiesterase-5 inhibitors. Despite similar hemodynamic impairment, patients with PH in COPD achieved a worse 6-min walking distance (6MWD) and showed a more advanced World Health Organization functional class (WHO FC). Transplant-free survival rates at 1, 3, and 5 years were higher in the IPAH group than in the PH in COPD group (IPAH: 94%, 75%, and 55% vs PH in COPD: 86%, 55%, and 38%; P = .004). Risk factors for poor outcomes in PH in COPD were male sex, low 6MWD, and high pulmonary vascular resistance (PVR). In patients with severe PH in COPD, improvements in 6MWD by ≥ 30 m or improvements in WHO FC after initiation of medical therapy were associated with better outcomes. Interpretation: Patients with PH in COPD were functionally more impaired and had a poorer outcome than patients with IPAH. Predictors of death in the PH in COPD group were sex, 6MWD, and PVR. Our data raise the hypothesis that some patients with severe PH in COPD may benefit from PH treatment. Randomized controlled studies are necessary to explore this hypothesis further. Trial Registry: ClinicalTrials.gov; No.: NCT01347216; URL: www.clinicaltrials.govpublishersversionPeer reviewe

Idiopathic pulmonary arterial hypertension phenotypes determined by cluster analysis from the COMPERA registry

Funding Information: Marius M. Hoeper has received fees for lectures and/or consultations from Acceleron, Actelion, Bayer, MSD, and Pfizer. Nicola Benjamin has received fees for lectures and/or consultations from Actelion. Ekkehard Grünig has received fees for lectures and/or consultations from Actelion, Bayer, GSK, MSD, United Therapeutics, and Pfizer. Karen M. Olsson has received fees for lectures and/or consultations from Actelion, Bayer, United Therapeutics, GSK, and Pfizer. C. Dario Vizza has received fees from Actelion, Bayer, GSK, MSD, Pfizer, and United Therapeutics Europe. Anton Vonk-Noordegraaf has received fees for lectures and/or consultation from Actelion, Bayer, GSK, and MSD. Oliver Distler has/had a consultancy relationship with and/or has received research funding from 4-D Science, Actelion, Active Biotec, Bayer, Biogen Idec, Boehringer Ingelheim Pharma, BMS, ChemoAb, EpiPharm, Ergonex, espeRare foundation, GSK, Genentech/Roche, Inventiva, Lilly, medac, MedImmune, Mitsubishi Tanabe, Pharmacyclics, Pfizer, Sanofi, Serodapharm, and Sinoxa in the area of potential treatments of scleroderma and its complications including pulmonary arterial hypertension. In addition, Prof Distler has a patent for mir-29 for the treatment of systemic sclerosis licensed. Christian Opitz has received fees from Actelion, Bayer, GSK, Pfizer, and Novartis. J. Simon R. Gibbs has received fees for lectures and/or consultations from Actelion, Bayer, Bellerophon, GSK, MSD, and Pfizer. Marion Delcroix has received fees from Actelion, Bayer, GSK, and MSD. H. Ardeschir Ghofrani has received fees from Actelion, Bayer, Gilead, GSK, MSD, Pfizer, and United Therapeutics. Doerte Huscher has received fees for lectures and consultations from Actelion. David Pittrow has received fees for consultations from Actelion, Biogen, Aspen, Bayer, Boehringer Ingelheim, Daiichi Sankyo, and Sanofi. Stephan Rosenkranz has received fees for lectures and/or consultations from Actelion, Bayer, GSK, Pfizer, Novartis, Gilead, MSD, and United Therapeutics. Martin Claussen reports honoraria for lectures from Boehringer Ingelheim Pharma GmbH and Roche Pharma and for serving on advisory boards from Boehringer Ingelheim, outside the submitted work. Heinrike Wilkens reports personal fees from Boehringer and Roche during the conduct of the study and personal fees from Bayer, Biotest, Actelion, GSK, and Pfizer outside the submitted work. Juergen Behr received grants from Boehringer Ingelheim and personal fees for consultation or lectures from Actelion, Bayer, Boehringer Ingelheim, and Roche. Hubert Wirtz reports personal fees from Boehringer Ingelheim and Roche outside the submitted work. Hening Gall reports personal fees from Actelion, AstraZeneca, Bayer, BMS, GSK, Janssen-Cilag, Lilly, MSD, Novartis, OMT, Pfizer, and United Therapeutics outside the submitted work. Elena Pfeuffer-Jovic reports personal fees from Actelion, Boehringer Ingelheim, Novartis, and OMT outside the submitted work. Laura Scelsi reports personal fees from Actelion, Bayer, and MSD outside the submitted work. Siliva Ulrich reports grants from Swiss National Science Foundation, Zurich Lung, Swiss Lung, and Orpha Swiss, and grants and personal fees from Actelion SA/Johnson & Johnson Switzerland and MSD Switzerland outside the submitted work. The remaining authors have no conflicts of interest to disclose. Funding Information: This work was supported by the German Centre of Lung Research (DZL). COMPERA is funded by unrestricted grants from Acceleron , Actelion Pharmaceuticals , Bayer , OMT , and GSK . These companies were not involved in data analysis or the writing of this manuscript. Publisher Copyright: © 2020 The Authors Copyright: Copyright 2020 Elsevier B.V., All rights reserved.The term idiopathic pulmonary arterial hypertension (IPAH) is used to categorize patients with pre-capillary pulmonary hypertension of unknown origin. There is considerable variability in the clinical presentation of these patients. Using data from the Comparative, Prospective Registry of Newly Initiated Therapies for Pulmonary Hypertension, we performed a cluster analysis of 841 patients with IPAH based on age, sex, diffusion capacity of the lung for carbon monoxide (DLCO; <45% vs ≥45% predicted), smoking status, and presence of comorbidities (obesity, hypertension, coronary heart disease, and diabetes mellitus). A hierarchical agglomerative clustering algorithm was performed using Ward's minimum variance method. The clusters were analyzed in terms of baseline characteristics; survival; and response to pulmonary arterial hypertension (PAH) therapy, expressed as changes from baseline to follow-up in functional class, 6-minute walking distance, cardiac biomarkers, and risk. Three clusters were identified: Cluster 1 (n = 106; 12.6%): median age 45 years, 76% females, no comorbidities, mostly never smokers, DLCO ≥45%; Cluster 2 (n = 301; 35.8%): median age 75 years, 98% females, frequent comorbidities, no smoking history, DLCO mostly ≥45%; and Cluster 3 (n = 434; 51.6%): median age 72 years, 72% males, frequent comorbidities, history of smoking, and low DLCO. Patients in Cluster 1 had a better response to PAH treatment than patients in the 2 other clusters. Survival over 5 years was 84.6% in Cluster 1, 59.2% in Cluster 2, and 42.2% in Cluster 3 (unadjusted p < 0.001 for comparison between all groups). The population of patients diagnosed with IPAH is heterogenous. This cluster analysis identified distinct phenotypes, which differed in clinical presentation, response to therapy, and survival.publishersversionPeer reviewe