Jaqpot Quattro: A Novel Computational Web Platform for Modeling and Analysis in Nanoinformatics

Chomenidis, Charalampos; Drakakis, Georgios; Tsiliki, Georgia; Anagnostopoulou, Evangelia; Valsamis, Angelos; Doganis, Philip; Sopasakis, Pantelis; Sarimveis, Haralambos

doi:10.1021/acs.jcim.7b00223

Cited by 15 publications

(10 citation statements)

References 26 publications

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“…Other methods deal with smooth transition areas in the image using statistics of reflected textures. 17,18 Although much of the past work have focused on designing a variety of priors due to the complexity of real-world photographs, no single method can capture all the features of an eigenimage. In contrast, when there are more input images in real-world application scenarios, such as image sequences, multimodal input, or user interaction, the problem becomes relatively adaptive.…”

Section: Eigenimage Decompositionmentioning

confidence: 99%

Intelligent vehicle modeling design based on image processing

Zhang

Liu

2021

International Journal of Advanced Robotic Systems

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With the urgent demand of consumers for diversified automobile modeling, simple, efficient, and intelligent automobile modeling analysis and modeling method is an urgent problem to be solved in current automobile modeling design. The purpose of this article is to analyze the modeling preference and trend of the current automobile market in time, which can assist the modeling design of new models of automobile main engine factories and strengthen their branding family. Intelligent rapid modeling shortens the current modeling design cycle, so that the product rapid iteration is to occupy an active position in the automotive market. In this article, aiming at the family analysis of automobile front face, the image database of automobile front face modeling analysis was created. The database included two data sets of vehicle signs and no vehicle signs, and the image data of vehicle front face modeling of most models of 22 domestic mainstream brands were collected. Then, this article adopts the image classification processing method in computer vision to conduct car brand classification training on the database. Based on ResNet-8 and other model architectures, it trains and classifies the intelligent vehicle brand classification database with and without vehicle label. Finally, based on the shape coefficient, a 3D wireframe model and a curved surface model are obtained. The experimental results show that the 3D curve model can be obtained based on a single image from any angle, which greatly shortens the modeling period by 92%.

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Section: Eigenimage Decompositionmentioning

confidence: 99%

Intelligent vehicle modeling design based on image processing

Zhang

Liu

2021

International Journal of Advanced Robotic Systems

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“…An efficient way to make PBPK models available to the community for testing on new data is provided by the Jaqpot platform [158], which offers nano-aware PBPK modelling in the NanoCommons infrastructure (https://infrastructure.nanocommons.eu), a functionality that will be integrated into the NanoSolveIT e-Infrastructure (https://nanosolveit.eu). An example was presented for nano PBPK model for polyethylene glycol-coated polyacrylamide (PAA-peg) nanoparticles on rat [24].…”

Section: Overall Assessment and Conclusionmentioning

confidence: 99%

Current Approaches and Techniques in Physiologically Based Pharmacokinetic (PBPK) Modelling of Nanomaterials

et al. 2020

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There have been efforts to develop physiologically based pharmacokinetic (PBPK) models for nanomaterials (NMs). Since NMs have quite different kinetic behaviors, the applicability of the approaches and techniques that are utilized in current PBPK models for NMs is warranted. Most PBPK models simulate a size-independent endocytosis from tissues or blood. In the lungs, dosimetry and the air-liquid interface (ALI) models have sometimes been used to estimate NM deposition and translocation into the circulatory system. In the gastrointestinal (GI) tract, kinetics data are needed for mechanistic understanding of NM behavior as well as their absorption through GI mucus and their subsequent hepatobiliary excretion into feces. Following absorption, permeability (Pt) and partition coefficients (PCs) are needed to simulate partitioning from the circulatory system into various organs. Furthermore, mechanistic modelling of organ- and species-specific NM corona formation is in its infancy. More recently, some PBPK models have included the mononuclear phagocyte system (MPS). Most notably, dissolution, a key elimination process for NMs, is only empirically added in some PBPK models. Nevertheless, despite the many challenges still present, there have been great advances in the development and application of PBPK models for hazard assessment and risk assessment of NMs.

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“…The eNanoMapper server currently does not use other web services, besides being able to retrieve chemical structures from public databases (e.g. PubChem). The full details of the eNanoMapper API, including a description of the computational services implementation (which uses and integrates a variety of technologies and also reads and writes from/to data services) are published (Jeliazkova et al, 2015)(Chomenidis et al, 2017). …”

Section: Current Practice For Data Integration In the Nanotechnology mentioning

confidence: 99%

Integration among databases and data sets to support productive nanotechnology: Challenges and recommendations

et al. 2018

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Many groups within the broad field of nanoinformatics are already developing data repositories and analytical tools driven by their individual organizational goals. Integrating these data resources across disciplines and with non-nanotechnology resources can support multiple objectives by enabling the reuse of the same information. Integration can also serve as the impetus for novel scientific discoveries by providing the framework to support deeper data analyses. This article discusses current data integration practices in nanoinformatics and in comparable mature fields, and nanotechnology-specific challenges impacting data integration. Based on results from a nanoinformatics-community-wide survey, recommendations for achieving integration of existing operational nanotechnology resources are presented. Nanotechnology-specific data integration challenges, if effectively resolved, can foster the application and validation of nanotechnology within and across disciplines. This paper is one of a series of articles by the Nanomaterial Data Curation Initiative that address data issues such as data curation workflows, data completeness and quality, curator responsibilities, and metadata.

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Jaqpot Quattro: A Novel Computational Web Platform for Modeling and Analysis in Nanoinformatics

Cited by 15 publications

References 26 publications

Intelligent vehicle modeling design based on image processing

Intelligent vehicle modeling design based on image processing

Current Approaches and Techniques in Physiologically Based Pharmacokinetic (PBPK) Modelling of Nanomaterials

Integration among databases and data sets to support productive nanotechnology: Challenges and recommendations

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