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Cyanamide-inducible expression of homing nuclease ^(I−)SceI for selectable marker removal and promoter characterisation in Saccharomyces cerevisiae

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Synthetic and Systems Biotechnology 2024年第4期9卷 820-827页

作者： Liam McDonnell Samuel Evans Zeyu Lu Mitch Suchoronczak Jonah Leighton Eugene Ordeniza Blake Ritchie Nik Valado Niamh Walsh James Antoney Chengqiang Wang Carlos Horacio Luna-Flores Colin Scott Robert Speight Claudia E.Vickers Bingyin Peng Centre of Agriculture and the Bioeconomy School of Biology and Environmental ScienceFaculty of ScienceQueensland University of TechnologyBrisbaneQLD4000Australia ARC Centre of Excellence in Synthetic Biology Australia Australian Institute for Bioengineering and Nanotechnology(AIBN) The University of QueenslandBrisbaneQLD4072Australia School of Biology and Environmental Science Faculty of ScienceQueensland University of TechnologyBrisbaneQLD4000Australia College of Life Sciences Shandong Agricultural UniversityTaianShandong Province271018People's Republic of China CSIRO Environment Black Mountain Science and Innovation ParkCanberraACT2601Australia Advanced Engineering Biology Future Science Platform Commonwealth Scientific and Industrial Research Organisation(CSIRO)Black MountainACT2601Australia

In synthetic biology,microbial chassis including yeast Saccharomyces cerevisiae are iteratively engineered with increasing complexity and ***-lab genetic engineering tools are developed and optimised to facilitate strain construction but are often incompatible with each other due to shared regulatory elements,such as the galactose-inducible(GAL)promoter in ***,we prototyped the cyanamide-induced ^(I−)SceI expression,which triggered double-strand DNA breaks(DSBs)for selectable marker *** further combined cyanamide-induced ^(I−)SceI-mediated DSB and maltose-induced MazF-mediated negative selection for plasmid-free in situ promoter substitution,which simplified the molecular cloning procedure for promoter *** then characterised three tetracycline-inducible promoters showing differential strength,a non-leakyβ-estradiol-inducible promoter,cyanamide-inducible DDI2 promoter,bidirectional MAL32/MAL31 promoters,and five pairs of bidirectional GAL1/GAL10 ***,alternative regulatory controls for genome engineering tools can be developed to facilitate genomic engineering for synthetic biology and metabolic engineering applications.

关键词： Metabolic engineering Genetic circuit Genome engineering Synthetic biology Yeast engineering Promoter engineering

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Resonance Behavior of a Conducting Wire Object below a Halfspace

Resonance Behavior of a Conducting Wire Object below a Halfs...

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2022 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting, AP-S/URSI 2022

作者： Li, Siyuan Hargrave, Chad Lui, Hoi-Shun University of Technology Sydney Ultimo Global Big Data Technologies Centre School of Electrical and Data Engineering NSW2007 Australia Commonwealth Scientific and Industrial Research Organisation Sustainable Mining Research Program PullenvaleQLD4069 Australia

ISBN: (数字)9781665496582

ISBN: (纸本)9781665496582

The resonance scattering phenomena of an object buried below a dielectric halfspace has been studied with potential applications such as unexploded ordnance detection and breast tumor screening. These studies adopted a theoretical approach where the resonant frequencies are numerically determined via a complex root searching procedure from the impedance matrix obtained from an integral equation formulation. The practically of retrieving these resonant modes from transient responses under different excitation aspects, though is crucial for subsurface target detection application, has not been well studied. In this paper, the resonant frequencies and the corresponding residues are extracted from the transient responses of a metallic wire object below halfspace. We found that the same set of resonant modes is extracted in most cases, but the residues vary significantly as the incident angle. © 2022 IEEE.

关键词： Transient analysis

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A 250 GHz Low-Loss Inline Waveguide Bandpass Filter Using Bandstop Resonator Pairs

A 250 GHz Low-Loss Inline Waveguide Bandpass Filter Using Ba...

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Microwave, MTT-S International Symposium

作者： Jing-Yu Lin Yang Yang Ting Zhang Sai-Wai Wong Institute of Electromagnetics and Acoustics Xiamen University China School of Electrical and Data Engineering University of Technology Sydney Australia Commonwealth Scientific and Industrial Research Organisation Australia College of Information Engineering Shenzhen University China

This paper presents an inline terahertz (THz) waveguide bandpass filter (BPF) based on the bandstop resonator pairs. It is implemented by E-plane stubs. The proposed resonators operate at the lower and upper stopbands of the designed BPF to provide sharp roll-off and out-of-band rejection. Both stopbands can be controlled independently and cascaded in parallel from source to load without mutual interference. The unloaded quality factors of E-plane stub resonators determine the bandwidths of both stopbands, which are equal to the spurious-free frequency ranges of the lower and upper stopbands, respectively. Since the proposed BPF design adopts bandstop resonator pairs resonating at the rejection band, it will achieve a lower transmission loss than the conventional BPFs with resonators at the passband. A 5 th -order BPF with a minimum measured insertion loss of 0.2 dB and 11% 1-dB bandwidth at 250 GHz is fabricated. The measurement results verify that multiple transmission zeroes (TZs) are achieved at the lower and upper stop bands, respectively.

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Resonance Behavior of a Conducting Wire Object above a Halfspace

Resonance Behavior of a Conducting Wire Object above a Halfs...

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2022 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting, AP-S/URSI 2022

作者： Li, Siyuan Hargrave, Chad Lui, Hoi-Shun University of Technology Sydney Global Big Data Technologies Centre School of Electrical and Data Engineering UltimoNSW2007 Australia Commonwealth Scientific and Industrial Research Organisation Sustainable Mining Research Program PullenvaleQLD4069 Australia

ISBN: (数字)9781665496582

ISBN: (纸本)9781665496582

Successful extraction of the resonant modes embedded in the transient target signature is vital to resonance-based radar target recognition. For targets in free space, although these resonant modes are theoretically aspect independent, the corresponding residues are known to be aspect dependent. When the target is located above a halfspace, the interface will electromagnetically interact with the target and alter the residue. Within the context of resonance-based target recognition, the influence from an interface to the residues, to the best of our knowledge, has not been well studied. In this paper, we study this problem through a wire target. Our results show that the residues of the mode follow a similar behavior as the dielectric properties of the halfspace vary. © 2022 IEEE.

关键词： Resonance

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One-to-Multiple Clean-Label Image Camouflage (Omclic) Based Backdoor Attack on Deep Learning

SSRN

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SSRN 2023年

作者： Wang, Guohong Ma, Hua Gao, Yansong Abuadbba, Alsharif Zhang, Zhi Wei, Kang Al-Sarawi, Said F. Zhang, Gongxuan Abbott, Derek School of Cyber Science and Engineering Nanjing University of Science and Technology Jiangsu Nanjing China School of Electrical and Electronic Engineering The University of Adelaide Australia Department of Computer Science and Software Engineering The University of Western Australia Australia Data61 Commonwealth Scientific and Industrial Research Organisation CSIRO Australia

Image camouflage has been utilized to create clean-label poisoned images for implanting backdoor into a DL model. But there exists a crucial limitation that one attack/poisoned image can only fit a single input size of the DL model, which greatly increases its attack budget when attacking multiple commonly adopted input sizes of DL models. This work proposes to constructively craft an attack image through camouflaging but can fit multiple DL models’ input sizes simultaneously, namely OmClic. Thus, through OmClic, we are able to always implant a backdoor regardless of which common input size is chosen by the user to train the DL model given the same attack budget (i.e., a fraction of the poisoning rate). With our camouflaging algorithm formulated as a multi-objective optimization, M = 5 input sizes can be concurrently targeted with one attack image, which artifact is retained to be almost visually imperceptible at the same time. Extensive evaluations validate the proposed OmClic can reliably succeed in various settings using diverse types of images. Further experiments on OmClic based backdoor insertion to DL models show that high backdoor performances (i.e., attack success rate and clean data accuracy) are achievable no matter which common input size is randomly chosen by the user to train the model. So that the OmClic based backdoor attack budget is reduced by M× compared to the state-of-the-art camouflage based backdoor attack as a baseline. Significantly, the same set of OmClic based poisonous attack images is transferable to different model architectures for backdoor implant. © 2023, The Authors. All rights reserved.

关键词： Deep learning

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Evidence-aware multi-modal data fusion and its application to total knee replacement prediction

arXiv

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arXiv 2023年

作者： Liu, Xinwen Wang, Jing Zhou, S. Kevin Engstrom, Craig Chandra, Shekhar S. School of Information Technology and Electrical Engineering The University of Queensland Brisbane Australia The Commonwealth Scientific and Industrial Research Organisation Canberra Australia School of Biomedical Engineering Suzhou Institute for Advanced Research University of Science and Technology of China Suzhou China Institute of Computing Technology CAS Beijing China School of Human Movement and Nutrition Sciences The University of Queensland Brisbane Australia

Deep neural networks have been widely studied for predicting a medical condition, such as total knee replacement (TKR). It has shown that data of different modalities, such as imaging data, clinical variables and demographic information, provide complementary information and thus can improve the prediction accuracy together. However, the data sources of various modalities may not always be of high quality, and each modality may have only partial information of medical condition. Thus, predictions from different modalities can be opposite, and the final prediction may fail in the presence of such a conflict. Therefore, it is important to consider the reliability of each source data and the prediction output when making a final decision. In this paper, we propose an evidence-aware multi-modal data fusion framework based on the Dempster-Shafer theory (DST). The backbone models contain an image branch, a non-image branch and a fusion branch. For each branch, there is an evidence network that takes the extracted features as input and outputs an evidence score, which is designed to represent the reliability of the output from the current branch. The output probabilities along with the evidence scores from multiple branches are combined with the Dempster’s combination rule to make a final prediction. Experimental results on the public OA initiative (OAI) dataset for the TKR prediction task show the superiority of the proposed fusion strategy on various backbone models. Copyright © 2023, The Authors. All rights reserved.

关键词： Forecasting

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Update on the German and Australasian Optical Ground Station Networks

Update on the German and Australasian Optical Ground Station...

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作者： Rattenbury, Nicholas J. Ashby, Joseph Bennet, Francis Birch, Marcus Cater, John E. Ferguson, Kate Giggenbach, Dirk Grant, Ken Knopp, Andreas Knopp, Marcus T. Kruzins, Ed Lambert, Andrew Mudge, Kerry Qualtrough, Catherine Raffa, Samuele Rittershofer, Jonas Sayat, Mikhael T. Schediwy, Sascha Schwarz, Robert T. Sellars, Matthew Thearle, Oliver Travouillon, Tony Walker, Kevin Walsh, Shane Weddell, Stephen Department of Physics The University of Auckland Auckland New Zealand College of Science Australian National University CanberraACT Australia Department of Mechanical Engineering University of Canterbury Christchurch New Zealand ANU Institute for Space Australian National University CanberraACT Australia Wessling Germany Defence Science and Technology Group EdinburghSA Australia Space Research Center University of the Bundeswehr Munich Neubiberg Germany Wessling Germany Canberra Space University of New South Wales SydneyNSW Australia Commonwealth Scientific Industrial Research Organisation SydneyNSW Australia School of Engineering and Information Technology University of New South Wales CanberraACT Australia International Centre for Radio Astronomy Research The University of Western Australia PerthWA Australia Research School of Physics Australian National University CanberraACT Australia Department of Electrical Engineering University of Canterbury Christchurch New Zealand

Networks of ground stations designed to transmit and receive at visible and infra-red wavelengths through the atmosphere offer an opportunity to provide on-demand, high-bandwidth, secure communications with spacecraft in Earth orbit and beyond. This work describes the operation and activities of current free space optical communications (FSOC) ground stations in Germany and Australasia. In Germany, FSOC facilities are located at the Oberpfaffenhofen campus of the German Aerospace Center (DLR), the Laser-Bodenstation in Trauen (Responsive Space Cluster Competence Center, DLR), and the Research Center Space of the University of the Bundeswehr Munich in Neubiberg. The DLR also operates a ground station in Almería, Spain, as part of the European Optical Nucleus Network (EONN). The Australasian Optical Ground Station Network (AOGSN) is a proposed network of 0.5–0.7 m class optical telescopes located across Australia and New Zealand. The development and progress for each node of the AOGSN is reported, along with optimization of future site locations based on cloud cover analysis. © 2025 The Author(s). International Journal of Satellite Communications and Networking published by John Wiley & Sons Ltd.

关键词： Orbits

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Resonance Behavior of an Obliquely-Oriented Conducting Wire Object Above a Halfspace

Resonance Behavior of an Obliquely-Oriented Conducting Wire ...

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Australian Microwave Symposium (AMS)

作者： Siyuan Li Chad Hargrave Hoi-Shun Lui School of Electrical and Data Engineering University of Technology Sydney Ultimo NSW Australia Sustainable Mining Research Program Commonwealth Scientific and Industrial Research Organisation Pullenvale QLD Australia

This paper examines the effect of a halfspace on the residues of the extracted resonant modes of an obliquely-oriented conductive wire target above it. Previous studies have focused on the case where the target is in free space, but in this case, the halfspace interacts electromagnetically with the target and alters the residue. The results show that the residue of the fundamental mode is affected by the dielectric properties of the halfspace, while the residues of higher-order modes remain similar as the properties change. These findings provide insights for designing automated recognition solutions for targets above halfspaces.

关键词： Target recognition Spaceborne radar Wires Radar scattering Microwave theory and techniques Dielectrics Behavioral sciences

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Visual Perception Inspired Deep Learning Models: A Study of Visual Attention and Information Interaction

Visual Perception Inspired Deep Learning Models: A Study of ...

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Machine Vision, Image Processing and Imaging technology (MVIPIT), International Conference on

作者： Bing Wei Yudi Zhao Kuangrong Hao Lei Gao College of Information Science and Technology Donghua University Shanghai China School of Electronic Information and Electrical Engineering Shanghai Jiao Tong University Shanghai China Commonwealth Scientific and Industrial Research Organization (CSIRO) SA Australia

ISBN: (数字)9798331543037

ISBN: (纸本)9798331543044

Visual perception inspired deep learning (VPI-DL) is a subset of machine learning, which aims to build new models by imitating visual hierarchy, information-processing mechanism, multi-mechasnism integration, visual specificity and transferability in humans and animals. In this paper, the latest work in the intersection with deep learning, visual perception, and computational neuroscience is reviewed to provide knowledge about the correlation between biological visual perception system and deep learning. First, the cutting-edge researches of VPI-DL models are reviewed and analyzed in the areas of visual attention mechanism and information-processing mechanism. Then, based on the analysis of the above results, some points of view about the prospects of the VPI-DL are presented. Although there are various visual perception inspired deep learning methods (VPI-DLMs), most of them only focus on the local, single mechanism or structure of visual perception, the study of VPI-DLMs remains fragmented. This survey will provide a comprehensive reference for future research in this promising direction. It aims to provide knowledge and insights into visual perception inspired intelligent models and attract more attention to this field from the scientific communities of artificial intelligence and computational neurosciences.

关键词： Deep learning Surveys Visualization Correlation Computational modeling Biological system modeling Computational neuroscience Imaging Visual perception Periodic structures

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Significantly Enhanced Performance of Li-Storage Via In-Situ Oxidation of Silicon Particles by Zinc Oxide

SSRN

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SSRN 2023年

作者： Wang, Shuai Wu, Qinyu Cai, Zhenfei Ding, Bo Ahsan, Zishan Ma, Yangzhou Song, Guangsheng Yu, Zexin Yang, Weidong Wen, Cuie Key Laboratory of Green Fabrication and Surface Technology of Advanced Metal Materials Ministry of Education School of Materials Science and Engineering Anhui University of Technology Maanshan243000 China School of Mechanical and Electrical Engineering Soochow University Suzhou215123 China Future Manufacturing Flagship Commonwealth Scientific and Industry Research Organization MelbourneVIC3168 Australia School of Engineering RMIT University MelbourneVIC3001 Australia

The synthesis of Si-based composite material can be realized via the reduction of ZnO by excess Si during ball milling. The presence of the reacted products Zn and SiO in the Si matrix was confirmed by X-ray diffraction, transmission electron microscopy, and X-ray photoelectron spectroscopy analysis. The composite material was coated with carbon by a high-temperature carburizing process. The carbon-coated composite material shows excellent cycling stability at a high-capacity rate of 0.2C by demonstrating a capacity retention rate of 78.05% at 300 cycles and the corresponding charging-specific capacity of 697 mAh g-1. These results indicate that the nanocrystalline Zn and amorphous SiO products from the solid-state reaction of cheap Si and ZnO are very effective in improving the cycling stability of Si-based composite material. © 2023, The Authors. All rights reserved.

关键词： Zinc oxide

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