Optoelectronic memristors (OMs) have emerged as a promising optoelectronic Neuromorphic computing paradigm, opening up new opportunities for neurosynaptic devices and optoelectronic systems. These OMs possess a range of desirable features including minimal crosstalk, high bandwidth, low power consumption, zero latency, and the ability to replicate crucial neurological functions such as vision and optical memory. By incorporating large-scale parallel synaptic structures, OMs are anticipated to greatly enhance high-performance and low-power in-memory computing, effectively overcoming the limitations of the von Neumann bottleneck. However, progress in this field necessitates a comprehensive understanding of suitable structures and techniques for integrating low-dimensional materials into optoelectronic integrated circuit platforms. This review aims to offer a comprehensive overview of the fundamental performance, mechanisms, design of structures, applications, and integration roadmap of optoelectronic synaptic memristors. By establishing connections between materials, multilayer optoelectronic memristor units, and monolithic optoelectronic integrated circuits, this review seeks to provide insights into emerging technologies and future prospects that are expected to drive innovation and widespread adoption in the near future.
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http://dx.doi.org/10.1002/adma.202307393 | DOI Listing |
Health Policy
December 2024
Department of Family Medicine and Population Health (FAMPOP), Faculty of Medicine and Health Sciences, University of Antwerp, Belgium; Department of Public Health, Institute of Tropical Medicine, Antwerp, Belgium.
Introduction: Few integrated care studies elaborate how interventions are brought to wider scale. The SCUBY project developed interventions for scale-up of an Integrated Care Package (ICP) for two common diseases - type 2 diabetes and hypertension-, comprising evidence-based roadmaps and policy dialogues. This paper's aim is to report on the process evaluation of the ICP scale-up in Belgium.
View Article and Find Full Text PDFCells
December 2024
In Vitro Toxicology and Biomedicine, Dept Inaugurated by the Doerenkamp-Zbinden Foundation, University of Konstanz, 78464 Konstanz, Germany.
Cell-based test methods with a phenotypic readout are frequently used for toxicity screening. However, guidance on how to validate the hits and how to integrate this information with other data for purposes of risk assessment is missing. We present here such a procedure and exemplify it with a case study on neural crest cell (NCC)-based developmental toxicity of picoxystrobin.
View Article and Find Full Text PDFMed Sci Educ
December 2024
Department of Neurology, Jena University Hospital, Friedrich Schiller University Jena, Jena, Germany.
This paper explores the underutilized educational potential of tumor boards as a platform for medical student education. Acknowledging the complexity and multidisciplinary nature of tumor boards, we propose 12 strategic interventions aimed at integrating undergraduate medical students into these meetings to enhance their learning experience. These strategies emphasize active student engagement, critical analysis, patient interaction, reflective practice, and the integration of digital learning tools, with a focus on fostering an in-depth understanding of team-based, patient-focused oncology care.
View Article and Find Full Text PDFMethods Mol Biol
January 2025
Institute for Research in Biomedicine (IRB Barcelona), The Barcelona Institute of Science and Technology, Barcelona, Catalonia, Spain.
Lineage tracing has significantly advanced our comprehension in many areas of biology, such as development or immunity, by precisely measuring cellular processes like migration, division, or differentiation across labeled cells and their progeny. Traditional recombinase-based prospective lineage tracing is limited by the need for a priori cell type information and is constrained in the numbers of clones it can simultaneously track. In this sense, clonal lineage tracing with integrated random barcodes offers a robust alternative, enabling researchers to label and track a vast array of cells and their progeny over time.
View Article and Find Full Text PDFAccid Anal Prev
December 2024
UCF Smart & Safe Transportation Lab, Department of Civil, Environmental and Construction Engineering, University of Central Florida, 12800 Pegasus Drive, Orlando, FL 32816, United States. Electronic address:
Intersections are frequently identified as crash hotspots for roadways in major cities, leading to significant human casualties. We propose crash likelihood prediction as an effective strategy to proactively prevent intersection crashes. So far, no reliable models have been developed for intersections that effectively account for the variation in crash types and the cyclical nature of Signal Phasing and Timing (SPaT) and traffic flow.
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