Ultra-low noise microwave signal generation with an optical frequency comb

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The application of Raman scattering in biosensing diverges significantly from its previous usage in qualitative analysis, eliminating the necessity for spectroscopy in certain cases. Here, we push the frontiers of optical biosensing by integrating a custom ...

Nuclear magnetic resonance (NMR) methods are powerful tools employed in many fields, including physics, chemistry, material science, biology, and medicine. The use of NMR methodologies in an even wider range of applications is often hindered by the relativ ...

Sterilization is a prerequisite for biomedical devices before contacting the human body. It guarantees the lack of infection by eliminating microorganisms (i.e., bacteria, spores and fungi). It constitutes the last fabrication process of a biomedical devic ...

Modern digital connectivity has necessitated the creation of robust methods for securely storing and transferring data. At the heart of all security infrastructure is the random number generator (RNG). While random numbers find use in a variety of applicat ...

An efficient implementation of the capacity design requires high ductility combined with a low overstrength of the critical regions. Conventional timber connections do not generally offer such ideal combination, resulting in modest behaviour and relatively ...

Today's continued increase in demand for processing power, despite the slowdown of Moore's law, has led to an increase in processor count, which has resulted in energy consumption and distribution problems. To address this, there is a growing trend toward ...

In this paper we propose a novel virtual simulation-pilot engine for speeding up air traffic controller (ATCo) training by integrating different state-of-the-art artificial intelligence (AI)-based tools. The virtual simulation-pilot engine receives spoken ...

The crowdedness of the RF spectrum constitutes problems in communication, however it also accommodates large amount of useful information. This information can be used to determine existing signals and operating contexts. However, spectrum condition varies ...

Exploring a wide range of design options is crucial for every sound conceptual design process. In the conventional structural design workflow, optimization techniques are generally employed to generate well-performing design options. However, focusing only ...

A preclinical study reports a platform for the generation of dendritic cell-derived nanovesicles with enhanced immunostimulatory function, which demonstrate promising antitumoural activity in mouse models and might overcome some of the shortcomings of earl ...

Activity-based models offer the potential of a far deeper understanding of daily mobility behaviour than trip-based models. However, activity-based models used both in research and practice have often relied on applying sequential choice models between sub ...

Neuroscience and neurotechnology are currently being revolutionized by artificial intelligence (AI) and machine learning. AI is widely used to study and interpret neural signals (analytical applications), assist people with disabilities (prosthetic applica ...

Single-cell sequencing (sc-seq) provides a species agnostic tool to study cellular processes. However, these technologies are expensive and require sufficient cell quantities and biological replicates to avoid artifactual results. An option to address thes ...

Dispatching active distribution networks (ADNs) is an energy-intensive application that, if implemented via battery-energy storage systems (BESSs), can require a large capacity of these assets in order to fully balance the uncertainties caused by the stoch ...

Precise control of bionic limbs relies on robust decoding of motor commands from nerves or muscles signals and sensory feedback from artificial limbs to the nervous system by interfacing the afferent nerve pathways. Implantable devices for bidirectional co ...

Smart thermostats are increasingly popular in homes and buildings as they improve occupant comfort, lower energy use in heating and cooling systems, and reduce utility bills by automatically adjusting room temperature according to measurements of their bui ...

Proportional-type algorithms have attracted much attention because of their fast convergence ability for sparse system identification. To overcome the drawbacks of existing block proportional methods stemming from inadequate block partitioning, this articl ...

Solar powered redox cells (SPRCs) are promising for large-scale and long-term storage of solar-energy, particularly when coupled with redox flow batteries (RFBs). While efforts have primarily focused on heterostructure engineering, the potential of synergi ...

The two-dimensional (2D) delamination growth in composite laminates under the Mode-II fracture condition was experimentally investigated using a novel set-up. Circular plate specimens with a centrally embedded pre-crack of two sizes were semi-clamped along ...

n-linear impedance characteristics of VO2 offer solutions to highly sensitive radio-frequency (RF), millimeterwave (mm-wave), and terahertz (THz) detectors. We demonstrate high-speed broadband sensibility of miniaturized VO2 switches by utilizing the nonli ...

Ultra-low noise microwave signal generation with an optical frequency comb

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Single-Band Raman Shift Detection for Spectroscopy-Less Optical Biosensors

Single Chip Dynamic Nuclear Polarization Microsystems

Influence of Different Sterilization Methods on the Surface Chemistry and Electrochemical Behavior of Biomedical Alloys

Modelling and design of CMOS SPAD sensors for quantum random number generation

Experimental investigations of a new highly ductile hold-down with adaptive stiffness for timber seismic bracing walls

Compilation and Design Space Exploration of Dataflow Programs for Heterogeneous CPU-GPU Platforms

A Virtual Simulation-Pilot Agent for Training of Air Traffic Controllers

Intelligent RF System for Ultra Low Power Spectrum Sensing with Machine Learning

Computational conceptual design — typological exploration of spatial truss systems through optimization

Boosting dendritic cell nanovaccines

OASIS: Optimisation-based Activity Scheduling with Integrated Simultaneous choice dimensions

Challenges and Opportunities of Edge AI for Next-Generation Implantable BMIs

Evaluation of genetic demultiplexing of single-cell sequencing data from model species

Reliable Dispatch of Active Distribution Networks via a Two-layer Grid-Aware Model Predictive Control: Theory and Experimental Validation

Bidirectional bionic limbs: a perspective bridging technology and physiology

Efficacy of temporal and spatial abstraction for training accurate machine learning models: A case study in smart thermostats

Design of a Tap-Amplitude-Based Block Proportional Adaptive Filtering Algorithm

Understanding Wavelength-Dependent Synergies between Morphology and Photonic Design in TiO2-Based Solar Powered Redox Cells

Experimental investigation of two-dimensional Mode-II delamination in composite laminates

Subthreshold VO2 vertical switches for large-bandwidth millimeter-wave and sub-terahertz detection