An integrate fabrication framework is presented to build heterogeneous objects (HEO) using digital microdroplets injecting technology and rapid prototyping. The heterogeneous materials part design and manufacturing method in structure and material was used to change the traditional process. The net node method was used for digital modeling that can configure multimaterials in time. The relationship of material, color, and jetting nozzle was built. The main important contributions are to combine the structure, material, and visualization in one process and give the digital model for manufacture. From the given model, it is concluded that the method is effective for HEO. Using microdroplet rapid prototyping and the model given in the paper HEO could be gotten basically. The model could be used in 3D biomanufacturing.
Download full-text PDF |
Source |
|---|---|
| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4770127 | PMC |
| http://dx.doi.org/10.1155/2016/5057347 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Boulder ramps as a restoration measure: Increasing in the resilience of mountain freshwater ecosystems to environmental changes.
Sci Total Environ
January 2025
Department of Ecology and Environmental Protection, University of Rzeszów, Poland.
Mountain environments, as biodiversity hotspots, are subject to numerous anthropological pressures. In mountain areas, a common threat to stream biocenoses is the timber industry. Timber industry increases the fine sediment input into the mountain rivers; furthermore, timber transport requires the construction of low-water crossings across streams.
View Article and Find Full Text PDFThe safety and efficacy of robotic radiosurgery and radiotherapy in the management of skull base tumors: a systematic review and meta-analysis.
Neurosurg Rev
January 2025
Iranian Center of Neurological Research, Neuroscience Institute, Tehran University of Medical Sciences, Tehran, Iran.
Stereotactic radiosurgery (SRS) and radiotherapy (SRT) have gained prominence as both adjuvant and primary treatment options for patients with skull base tumors that are either inoperable or present as residual or recurrent lesions post-surgery. The object of the current study is to evaluate the safety and efficacy of robotic-assisted SRS and SRT across various skull base pathologies. The study was conducted under PRISMA guidelines and involved a comprehensive evaluation of databases, including PubMed, Scopus, Embase, Web-of-Science, and the Cochrane Library.
View Article and Find Full Text PDFDisease management teams in oncology: State of the art and the experience of a scientific institute of hospitalization and treatment (IRCCS) in Rome, Italy.
Brain Behav Immun Health
February 2025
General Direction, IRCCS Regina Elena National Cancer Institute, Via Elio Chianesi 53, Rome, 00144, Rome, Italy.
Background: This article analyzes the main coordination needs linked to the diagnosis and treatment of oncological diseases, presenting the various integration tools that our healthcare organization adopted to guarantee continuity of care at the IRCCS IFO (Istituto di Ricovero e Cura a Carattere Scientifico Istituti Fisioterapici Ospitalieri) in Rome. The object of investigation is the disease management team (DMT) organization for the diagnosis and treatment of people suffering from oncological disease and the consequences in terms of improving their management.
Methods: The study focuses, in particular, on the analysis of the different organizational methods chosen for the management of activities related to diagnosis and treatment paths.
Heterogeneity in category recognition across the visual field.
eNeuro
January 2025
Research Group for Brain and Cognitive Science, Shahid Beheshti Medical University, Tehran, Iran.
Visual information emerging from the extrafoveal locations is important for visual search, saccadic eye movement control, and spatial attention allocation. Our everyday sensory experience with visual object categories varies across different parts of the visual field which may result in location-contingent variations in visual object recognition. We used a body, animal body, and chair two-forced choice object category recognition task to investigate this possibility.
View Article and Find Full Text PDFA novel method for intelligent operation and maintenance of transformers using deep visual large model DETR + X and digital twin.
Sci Rep
January 2025
School of Intelligent Manufacturing Modern Industry, Xinjiang University, Urumqi, 830046, Xinjiang, China.
To achieve real-time monitoring and intelligent maintenance of transformers, a framework based on deep vision and digital twin has been developed. An enhanced visual detection model, DETR + X, is proposed, implementing multidimensional sample data augmentation through Swin2SR and GAN networks. This model converts one-dimensional DGA data into three-dimensional feature images based on Gram angle fields, facilitating the transformation and fusion of heterogeneous modal information.
View Article and Find Full Text PDFWant AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!