26 papers · ranked by Valyu relevance
Marek Babiuch, Petr Foltynek, Francesco Mercaldo
This article focuses on the area of software development for microcontrollers and details the implementation of modern programming practices and principles in embedded systems and IoT applications. This article explains how we implemented previously unimplemented principles and applied design patterns for quality…
Guillaume Mougeot, Sami Safarbati, Hervé Alégot, Pierre Pouchin + 9 more
U-Net is a convolutional neural network model developed in 2015 and has proven to be one of the most inspiring deep-learning models for image segmentation. Numerous U-Net-based applications have since emerged, constituting a heterogeneous set of tools that illustrate the current reproducibility crisis in the…
Marek Babiuch, Petr Foltynek, SungJin Yu, KiSung Park
As part of our research for microcontroller software support, we have developed a modular framework that utilizes previously unimplemented architectural principles for developing applications on microcontrollers. These principles are still a privilege of enterprise and server applications. The paper describes the…
A. Lucas Martins, Alexandre Laborde, Michael Orger
We present Sardine, a software framework built with.NET to control experimental setups through the reliable execution of dynamic networks of independent modules, where each module can interface with a hardware device (e.g., camera, motor) or represent an operation over data (e.g., image filter, data stream). The…
Authors not listed
Modeling of chemical reactions is essential for understanding kinetic mechanisms and predicting possible outcomes of reacting systems. Quantum mechanical calculations are accurate but often prohibitively expensive. Deep learning has emerged as a faster alternative, but progress is slowed by a fragmented software…
Alessandro Salatiello
The remarkable performance of modern AI systems has been driven by unprecedented scales of data, computation, and energy—far exceeding the resources required by human intelligence. This disparity highlights the need for new guiding principles and motivates drawing inspiration from the fundamental organizational…
Chris Partridge, Andrew Mitchell, Sergio de Cesare, Oscar Xiberta Soto
If one looks at contemporary mainstream development practices for conceptual modelling in computer science, these so clearly focus on a conceptual schema completely separated from its information base that the conceptual schema is often just called the conceptual model. These schema-centric practices are crystallized…
Zhengda Wu, Jie Zhang, Agnieszka Konys
Consumer Electronics (CE) currently face dual pressures: the growing demand for personalization and multi-scenario usage, and the need to enhance product sustainability. Traditional single-function designs struggle to adapt to these changes, leading to resource underutilization and the generation of significant…
Ruoyu Su, Xiaozhou Li
Recently modular monolith architecture has attracted the attention of practitioners, as Google proposed "Service Weaver" framework to enable developers to write applications as modular monolithic and deploy them as a set of microservices. Google considered it as a framework that has the best of both worlds and it seems…
Adel Heydarabadipour, Lucian Smith, Joseph L. Hellerstein, Herbert M. Sauro
SBMLNetwork is an open-source software library that makes the SBML Layout and Render packages practical for standards-based visualization of biochemical models. Current tools often manage model visualization data in custom-designed, tool-specific formats and store it separately from the model itself, hindering…
Samiyuru Menik, Lakshmish Ramaswamy
Machine learning technologies have demonstrated immense capabilities in various domains. They play a key role in the success of modern businesses. However, adoption of machine learning technologies has a lot of untouched potential. Cost of developing custom machine learning solutions that solve unique business problems…
Radha Ambalavanan, R Sterling Snead, Julia Marczika, Gideon Towett + 2 more
Background Semantic interoperability remains a significant barrier in healthcare, particularly when integrating patient-reported, clinical, and genomic data to enable personalized care. Existing models rarely focus on patient-centered, ontology-driven front-end architectures based on widely adopted standardized medical…
C Domínguez-Dalmases, A Cañellas-Solé, R Lambea-Jané, M Municoy + 1 more
Horus is a versatile, multi-platform reproducible-workflow management system designed for biomolecular modelling and computational life sciences. Available as both a desktop application and a web-based service, Horus offers researchers an intuitive graphical interface alongside a robust Python API, democratising the…
Filip Milisav, Andrea I. Luppi, Laura E. Suárez, Guillaume Lajoie + 1 more
Modularity is a fundamental principle of brain organization, reflected in the presence of segregated sub-networks that enable specialized information processing. These small, densely connected modules are often nested within larger, higher-order modules, giving rise to a hierarchical modular architecture. This…
Qing Wang, Yong Zhang
Although microservices have physically isolated modules, they have failed to prevent the propagation and diffusion of dependencies. To trace the root cause of the inter-module coupling, this paper, starting from the impact assessment approach for module changes, proposes a conceptual method for calculating module…
Rubén Ruiz-Torrubiano, Sebastian Knopp, Andreas Krystallidis, Lukas Matthias Wolf
'Lukas Matthias Wolf'] In modular educational systems, students are allowed to choose a part of their curriculum themselves. The rationale behind letting students choose their courses themselves is to enhance self-responsibility, improve student motivation, and allow for focus on specific areas of interest. A central…
Claus Kadelka, Matthew Wheeler, Alan Veliz-Cuba, David Murrugarra + 1 more
This paper addresses two topics in systems biology, the hypothesis that biological systems are modular and the problem of relating structure and function of biological systems. The focus here is on gene regulatory networks, represented by Boolean network models, a commonly used tool. Most of the research on gene…
Helle W. van den Maagdenberg, Martin Šícho, David Alencar Araripe, Sohvi Luukkonen + 9 more
Building reliable and robust quantitative structure-property relationship (QSPR) models is a challenging task. First, the experimental data needs to be obtained, analyzed and curated. Second, the number of available methods is continuously growing and evaluating different algorithms and methodologies can be arduous.…
Fabio Marco Monetti
Modular product architectures are used to enhance flexibility, reduce production complexity, and support sustainability goals. However, traditional Modular Function Deployment (MFD) method does not fully integrate Design for Assembly (DFA) and Design for Disassembly (DFD) principles, leading to sub-optimal…
Anna Matuszyńska, Oliver Ebenhöh, Matias D. Zurbriggen, Daniel C. Ducat + 1 more
Synthetic biology designs and constructs new biological parts, devices and systems with predetermined functionalities. With the unlimited ability to synthesise any DNA and RNA and transfer it to almost any organism, we are at the dawn of a new era in which biology is being recreated in ways never before possible. It…
Aydin Homay
—Good software has high cohesion and low coupling is clumsy, obscure, and in some certain cases could be actually a harmful state of being. It is clumsy because there is no perfect correlation between higher cohesiveness and optimum design, and it is obscure because it conveys the message that coupling and cohesion are…
Authors not listed
The exponential growth of chemical literature necessitates the development of automated tools for extracting and curating molecular information from unstructured scientific publications into open-access chemical databases. Current optical chemical structure recognition (OCSR) and named entity recognition solutions…
Shuaijian Dai, Yage Zhang, Weichuan Yu, Ning Li
Proteins are organized into modules by both functions and physical interactions within compartments of an eukaryotic cell. The in vivo chemical crosslinking mass spectrometry (XL-MS) data collected from organelles, the whole cells and tissues are able to provide unique information about both protein-protein interaction…
Authors not listed
Rapid and robust simulation of chemical processes is critical to conduct process design, optimization, techno-economic analysis, and sustainability analysis. Yet, efficiently solving simulation models remains a challenge due to the highly coupled and nonlinear nature of the underlying algebraic equations that capture…
Authors not listed
The widespread adoption of open-source cheminformatics toolkits remains constrained by technical implementation barriers, including complex installation procedures, dependency management, and integration challenges. Here, we present Cheminformatics Microservice V3, a significant update to the existing platform that…
Authors not listed
The increasing importance and predictive power of modern molecular modeling, driven by physics- and machine learning-based methods, necessitates a new collaborative architecture to replace the isolated, traditional model of software development. The traditional approach often led to redundant engineering effort, high…