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Current rapid prototyping in medical domains relies on rigid 3D-printed materials, lacking flexibility, customization, and clinician-led input. This paper introduces MediKnit, a novel approach for the fabrication of soft medical devices, addressing ...

Robustness Diagram with Loop and Time Controls is a multidimensional workflow model that can capture all workflow dimensions, i.e. process, resource, and case. In contrast to other workflow models, such as Class Diagram and Petri Net, tools that ...

Integration of artificial intelligence (AI) into clinical decision support systems (CDSS) poses a socio-technological challenge that is impacted by usability, trust, and human-computer interaction (HCI). AI-CDSS interventions have shown limited benefit ...

Computational methods are nowadays ubiquitous in the field of bioinformatics and biomedicine. Besides established fields like molecular dynamics, genomics or neuroimaging, new emerg- ing methods rely heavily on large scale computational resources ...

Cloud computing is a cost-effective environment for deploying large-scale scientific applications. However, multi-workflow scheduling has great challenge since users may request a series of applications with different Quality of Service (QoS) at ...

• Combining MPMO framework with improved PRO to address multi-workflow scheduling problems.
• Developing a global information exchange pool for population co-operation and co-evolution.
• Adopting a mutation-based Elite Enhancement ...

Agent-based epidemiological simulators have been proven to be one of the most successful tools for the analysis of COVID-19 propagation. The ability of these tools to reproduce the behavior and interactions of each single individual leads to ...

Resource scheduling plays a vital role in High-Performance Computing (HPC) systems. Most scheduling research in HPC has focused on only a single type of resource (e.g., computing cores or I/O resource). With the advancement in hardware ...

• We consider a multi-resource scheduling problem for moldable jobs with precedence constraints.
• We propose a multi-resource scheduling algorithm (MRSA) for the studied problem.
• We prove several approximation results of MRSA for ...

Scheduling workflows in cloud computing is to find the most appropriate mapping from a series of dependent tasks to a set of available virtual resources so as to minimize or maximize some user concerned objectives, which is very significant to a ...

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• Adopting Snake Optimizer into budget constrained workflow scheduling problems.
• Designing a task execution order aware fitness function to better estimate makespan.
• Modifying Snake Optimizer’s parameters to adaptive ones at each ...

This paper explores the challenges and solutions for managing and processing the vast amount of data generated by the Advanced Photon Source (APS), a synchrotron light source facility producing ultra-bright x-rays for diverse scientific domains. With 68 ...

Rules-based workflow scheduling is a recently developed method for constructing an analysis structure, in a far more dynamic manner than traditional graph based systems. However, rules-based workflows are still in their relative infancy and lack the ...

ADAPIO symposium was a forum to discuss how to create adaptive I/O systems through the creation of an active I/O stack that dynamically adjusts computation and storage requirements through intelligent coordination, malleability of computation and ...

Distributed infrastructures for computation and analytics are now evolving towards an interconnected ecosystem allowing complex scientific workflows to be executed across hybrid systems spanning from IoT Edge devices to Clouds, and sometimes to ...

Automation is the key to enable an efficient, fast, and reliable deployment of applications. Therefore, several deployment automation technologies emerged in recent years whereby each technology has its specific field of application: While some ...

Provenance is the story of objects: how they have come to be, what they could have been, what they will be. This paper explores the temporal complexity of provenance and suggests the need for the concept of subjunctive provenance. Using the ...

Hybrid quantum-classical applications are often implemented as monolithic applications that comprise various tightly-coupled classical and quantum tasks. However, the lifecycle of such applications can benefit from using service-oriented ...

Reproducibility, resilience, and large-scale data processing have become fundamental for developing scientific research, particularly in bioinformatics. One may consider the use of Scientific Workflow Management Systems (SWfMS) to address these ...

Runtime systems that automate the execution of applications on distributed cyberinfrastructures need to make scheduling decisions. Researchers have proposed many scheduling algorithms, but most of them are designed based on analytical models and ...

Interactive urgent computing is a small but growing user of supercomputing resources. However there are numerous technical challenges that must be overcome to make supercomputers fully suited to the wide range of urgent workloads which could ...

While studies in pathology are essential for the progress in the diagnostic and prognostic techniques in the field, pathologist time is becoming an increasingly scarce resource, and can indeed become the limiting factor in the feasibility of ...

Git is a popular distributed version control system that provides flexibility and robustness for software development projects. Several workflows have been proposed to codify the way project contributors work collaboratively with Git. ...

• Git workflows describe patterns of collaborative development with Git.
• Non-standard definitions hinder the analysis and comparison of Git Workflows.
• Feature-based modelling was used to create uniform workflows definitions.
• Our ...