Living tissues are dynamic, heterogeneous compositions of , including molecules, cells and extra-cellular materials, which interact via chemical, mechanical and electrical and reorganize via transformation, birth, death and migration . Current programming language have difficulty describing the dynamics of tissues because: 1: Dynamic sets of objects participate simultaneously in multiple processes, 2: Processes may be either continuous or discrete, and their activity may be conditional, 3: Objects and processes form complex, heterogeneous relationships and structures, 4: Objects and processes may be hierarchically composed, 5: Processes may create, destroy and transform objects and processes. Some modeling languages support these concepts, but most cannot translate models into executable simulations. We present a new hybrid paradigm, the Continuous Concurrent Object Process Methodology () which naturally expresses tissue models, enabling users to visually create agent-based models of tissues, and also allows computer simulation of these models.
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http://dx.doi.org/10.1109/WSC.2016.7822179 | DOI Listing |
Light Sci Appl
January 2025
Institute for Photon Science and Technology, The University of Tokyo, Tokyo, Japan.
Light manipulation and control are essential in various contemporary technologies, and as these technologies evolve, the demand for miniaturized optical components increases. Planar-lens technologies, such as metasurfaces and diffractive optical elements, have gained attention in recent years for their potential to dramatically reduce the thickness of traditional refractive optical systems. However, their fabrication, particularly for visible wavelengths, involves complex and costly processes, such as high-resolution lithography and dry-etching, which has limited their availability.
View Article and Find Full Text PDFCBE Life Sci Educ
March 2025
College of Education and Human Development, University of Delaware, Newark, DE 19716.
Quantitative reasoning (QR) is a key skill for undergraduate biology education. Despite this, many students struggle with QR. Here, we use the theoretical framework of student noticing to investigate why some students struggle with QR in introductory biology labs.
View Article and Find Full Text PDFBehav Neurol
January 2025
Department of Animal Biology and Physiology, University of Yaoundé I, Yaoundé, Cameroon.
Amnesia is a memory disorder marked by the inability to recall or acquire information. Hence, drugs that also target the neurogenesis process constitute a hope to discover a cure against memory disorders. This study is aimed at evaluating the antiamnesic and neurotrophic effects of the aqueous extract of () on in vivo and in vitro models of excitotoxicity.
View Article and Find Full Text PDFiScience
January 2025
Division of Optometry, Health Sciences, City University of London, London EC1V 0HB, UK.
A key property of our environment is the mirror symmetry of many objects, although symmetry is an abstract global property with no definable shape template, making symmetry identification a challenge for standard template-matching algorithms. We therefore ask whether Deep Neural Networks (DNNs) trained on typical natural environmental images develop a selectivity for symmetry similar to that of the human brain. We tested a DNN trained on such typical natural images with object-free random-dot images of 1, 2, and 4 symmetry axes.
View Article and Find Full Text PDFCurr Res Neurobiol
June 2025
Centre for Cognitive Neuroimaging, School of Psychology and Neuroscience, College of Medical, Veterinary and Life Sciences, University of Glasgow, 62 Hillhead Street, Glasgow, G12 8QB, United Kingdom.
Identifying the objects embedded in natural scenes relies on recurrent processing between lower and higher visual areas. How is cortical feedback information related to objects and scenes organised in lower visual areas? The spatial organisation of cortical feedback converging in early visual cortex during object and scene processing could be retinotopically specific as it is coded in V1, or object centred as coded in higher areas, or both. Here, we characterise object and scene-related feedback information to V1.
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