MRC Laboratory of Molecular Biology

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    45551 research outputs found

    Balanced truncation for model reduction of biological oscillators

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    Model reduction is a central problem in mathematical biology. Reduced order models enable modeling of a biological system at different levels of complexity and the quantitative analysis of its properties, like sensitivity to parameter variations and resilience to exogenous perturbations. However, available model reduction methods often fail to capture a diverse range of nonlinear behaviors observed in biology, such as multistability and limit cycle oscillations. The paper addresses this need using differential analysis. This approach leads to a nonlinear enhancement of classical balanced truncation for biological systems whose behavior is not restricted to the stability of a single equilibrium. Numerical results suggest that the proposed framework may be relevant to the approximation of classical models of biological systems

    Analysis of the Extremes of SNR Time Series Data Using Extreme Value Statistics

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    We demonstrate the suitability of extreme value statistics for the analysis of the extreme values of SNR time series data from a deployed network. Underlying theory, potential use cases and practical considerations are discussed

    A Silicon MEMS Disk Resonator Oscillator Demonstrating 36 ppt Frequency Stability

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    This paper reports experimental results demonstrating excellent short-term frequency stability of 45.6 µLHz (36 [email protected] s integration time) for a bulk acoustic wave (BAW) silicon disk resonator oscillator. The n=4 radial mode of a BAW disk resonator demonstrates an extremely high-quality factor of 1.8*10^6 at 1.25 MHz. The disk is designed with anchors aligned with nodal locations to minimize anchor damping. The results on the measured short-term frequency stability reported here benchmark favourably relative to the state-of-the-art

    The Future of Information Systems in a Post-COVID World by TC8 (Information Systems)

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    This chapter consists of several sections which contain contributions from members of IFIP Technical Committee 8 (Information Systems). We highlight the accomplishments of Technical Committee 8 (TC8) and its working groups over its 50 years history, and then envisage possible strategies for the future of information systems (IS) in a post-COVID world. This chapter begins with an overall view of the diverse and changing roles of the IS field then moves forward to foresee environmental sustainability and digital glocalization in a post-COVID-19 world. Next, we review the achievements of TC8, the establishment of the working groups within it, and predict what TC8 has to offer into the future. Lastly, we identify the individual working groups of TC8 to detail their activities as important conduits of research and practice in the field of IS over the past 50 years, then imagine the roles of the TC8 working groups in a post-COVID landscape

    Optimization of Inductive Superconducting Fault Current Limiter for Distribution Networks

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    Superconducting fault current limiter (SFCL) has been recommended as an idea current limiting method. And Inductive SFCL is one of the potential candidates of SFCL, with its advantages of fast responding, no quench and quick recovery characteristics. Recently years, several ISFCLs have been installed in demonstration projects all around the world. This paper focuses on the optimal configuration of ISFCL designed for distribution networks. Considering the current limiting performance and total cost of ISFCL, the optimal model of ISFCL parameters is established to choose suitable parameters for target system. Results of this paper are used to guide the design and fabrication of ISFCL prototypes

    SEGA: Secured Edge Gateway Microservices Architecture for IIoT-based Machine Monitoring

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    In this work, we propose SEGA, a secured edge gateway microservices architecture for Industrial IoT-based monitoring of machines in industries. SEGA allows for the secured collection, transmission, and temporary storage of data within the edge network. A KNN-based analytics module hosted on the edge gateway processes time-sensitive machine monitoring data on the gateway itself and identifies machines' operational status. The system predicts the machine state and displays the monitored parameters such as current consumed, power factor, power consumption, and vibrational state of machinery. SEGA also enables secured offloading of data and advanced analytical functions from the edge gateway to the cloud. SEGA's deployment results show negligible changes in the edge gateway's performance due to the inclusion of various security and encryption mechanisms. However, the resource-constrained edge sensor nodes show an increase in wireless packet transmission latencies between them and the gateway by approximately 84.12 ms

    Laser-Written Silicon-Germanium Alloy Microstructures with Tunable Compositionally Graded Profiles

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    A laser processing method is introduced for post-deposition tailoring of local composition and bandgap in amorphous silicon-germanium thin films on silicon substrates. Spatial distribution of the alloy constituents can be controlled through the scan speed

    Electrochemical stability of glyme-based electrolytes for Li-O2 batteries studied by in situ infrared spectroscopy.

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    In situ subtractively normalized Fourier transform infrared spectroscopy (SNIFTIRS) experiments were performed simultaneously with electrochemical experiments relevant to Li-air battery operation on gold electrodes in two glyme-based electrolytes: diglyme (DG) and tetraglyme (TEGDME), tested under different operational conditions. The results show that TEGDME is intrinsically unstable and decomposes at potentials between 3.6 and 3.9 V vs. Li+/Li even in the absence of oxygen and lithium ions, while DG shows a better stability, and only decomposes at 4.0 V vs. Li+/Li in the presence of oxygen. The addition of water to the DG based electrolyte exacerbates its decomposition, probably due to the promotion of singlet oxygen formation

    Scalable upcycling of thermoplastic polyolefins into vitrimers through transesterification

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    About 150 million tons of disposed plastic is accumulated each year globally. A massive challenge will be addressed even if a fraction of this amount is reclaimed as relevant feedstock for innovative materials, provided this transformation is accomplished through an affordable process with minimal resources in a high-throughput manner. Vitrimers, the dynamic networks enabled by an associative covalent bond exchange, are an emerging class of materials that combine the best of thermoplastic and thermoset characteristics. Here we report that high performance vitrimers can be produced through chemical transformation of commodity thermoplastic polyolefins (TPOs) in a simple and economical way. Polypropylene (PP) and polyethylene (PE) retrieved from recycling have been converted into permanently crosslinked networks that are rubber-elastic above the melting point, and are capable of bond exchange at a further elevated temperature. We find that the dynamically crosslinked network shows thermally triggered shape-memory behaviour with 90% recovery after multiple fixity-recovery cycles. With superior mechanical stability compared to the precursor TPO, dynamic networks can establish interfacial covalent bonding to assemble objects of complex shapes through welding. The developed method can be applied to a wide range of TPOs without prior knowledge of their precise composition. It suggests a new direction towards recovery of 'smart' materials for sustainable and affordable technologies from plastic recycling, using conventionally operated instruments, without the need to upgrade the infrastructure of the polymer processing industry

    Meaningful age-friendly design. case studies on enabling assistive technology

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    The world population is steadily aging and the World Health Organization recently stated that 8.5% of people worldwide are aged 65 and over. This cohort is projected to account for 1.6 billion people by 2050. Assistive Technology has been developed over previous decades with a particular aim to support people with disabilities. With the evolution of the market and the introduction of wearable technologies and IoT-based (Internet of Things) appliances, Assistive Technology has been influenced by the discipline of Age-Friendly Design, which has been applied to meaningfully improve the autonomy of a larger segment of the population, including older people. In order to discuss how Age-Friendly Design can influence the response of the market, and how users can better engage and benefit from Assistive Technology, this work aims to critically review, through a case study research methodology, a series of recently developed devices that have the potential to change user perception around Assistive Technology. As a conclusion, the reported case studies represent a preliminary validation of how Age-Friendly Design can represent a meaningful solution for enabling a wider group of people with different ages and abilities. Findings show that user experience, satisfaction and Emotional Design are the key drivers for developing marketable solutions in the area of Assistive Technology

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