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What's the Biggest Thing in the Universe?

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英语世界 2024年第7期 127-128页

作者： john o'reilly

What's the biggest thing in the universe? It sounds like a child's question but scientists have been searching for an answer for over thirty years. Now a team led by Dr Roger Clowes from the University of Central Lancashire believe they have found it. The largest thing in the universe may be a group of seventy-three quasars.

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基于冗余度分析的海上风电场可靠性提高方法(英文)

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电力系统自动化 2010年第4期34卷 84-91页

作者：杨进 john o' reilly john E. FLETCHER 华北电力大学电力工程系河北省保定市071003 Department of Electronics and Electrical Engineering University of GlasgowG12 8LT英国 Department of Electronic and Electrical Engineering University of StrathclydeG1 1XW英国

讨论了基于冗余度分析的海上风电场内部电能收集系统和传输系统可靠性提高方法。定义了风电场低压/中压网络与高压传输系统的冗余度。在同时考虑可靠性和经济性的前提下,提出了系统进行风电场冗余设计的方法。采用大型海上风电场设计实... 详细信息

讨论了基于冗余度分析的海上风电场内部电能收集系统和传输系统可靠性提高方法。定义了风电场低压/中压网络与高压传输系统的冗余度。在同时考虑可靠性和经济性的前提下,提出了系统进行风电场冗余设计的方法。采用大型海上风电场设计实例对所提方法进行了验证,得到了最优冗余设计结果。该方法对于提高具有复杂拓扑的大型海上风电场电能收集和传输系统的可靠性具有一定应用优势。

关键词：大型海上风电场冗余度可靠性电能收集系统传输系统

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Flu Study

英语世界 2020年第4期 127-128页

作者： Cath McLellan john o’reilly

Each year there are at least five million people around the world who develop serious flu, and almost half a million deaths. When someone we know gets the flu virus, we expect them to be very careful not to pass it on to others. Doctors and nurses working with flu patients also need to protect themselves from the virus. But what is the best way to do this? This is the question that flu expert Professor Jonathan Van-Tam at

关键词： Activity Flu Study

Music Improves Energy Levels

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英语世界 2021年第4期40卷 127-128页

作者： john o'reilly Freddie Gay

Exercise and music Many runners and gym members feel that music makes exercise more enjoyable. However, they might not know that scientists have found that some kinds of music can improve people's energy by 15 per cent. This was discovered by Dr Costas Karageorghis at Brunel University's School of Sport and Education.

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Mutations of voltage-gated sodium channel contribute to pyrethroid resistance in Panonychus citri

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Insect Science 2024年第3期31卷 803-816页

作者： Deng Pan Qiu-Juan Luo Andrias o.o'reilly Guo-Rui Yuan Jin-Jun Wang Wei Dou Key Laboratory of Entomology and Pest Control Engineering College of Plant ProtectionAcademy of Agricultural SciencesSouthwest UniversityChongqingChina Key Laboratory of Agricultural Biosafety and Green Production of Upper Yangtze River(Ministry of Education) Academy of Agricultural SciencesSouthwest UniversityChongqingChina School of Biological and Environmental Sciences Liverpool John Moores UniversityLiverpoolUK

Insecticide resistance in Panonychus citri is a major obstacle to mite control in citrus *** insecticides are continually used to control mites in China,although resistance to pyrethroids has evolved in some ***,the resistance to the pyrethroid fenpropathrin was investigated and 7 out of 8 field-collected populations of P citri exhibited a high level of resistance,ranging from 171-fold to 15391-fold higher than the susceptible(SS)comparison *** voltage-gated sodium channel(VGSC)mutations were identified in the tested populations:L1031V,F1747L,and *** sequencing was used to evaluate the frequency of these mutations in the 19 field populations.L1031V and F1751I were present in all populations at frequencies of 11.6%-82.1%and 0.5%-31.8%,respectively,whereas the F1747L mutation was only present in 12 populations from Chongqing,Sichuan,Guangxi,and Yunnan *** of these mutations singly or in combination into transgenic flies significantly increased their resistance to fenpropathrin and these flies also exhibited reduced mortality after exposure to the pyrethroids permethrin andβ-*** citri VGSC homology modeling and ligand docking indicate that F1747 and F1751 form direct binding contacts with pyrethroids,which are lost with mutation,whereas L1031 mutation may diminish pyrethroid effects through an allosteric ***,the results provide molecular markers for monitoring pest resistance to pyrethroids and offer new insights into the basis of pyrethroid actions on sodium channels.

关键词： amplicon sequencing kdr mutation molecular docking Panonychus citri pyrethroid resistance transgenic flies

optimizing artificial intelligence in sepsis management: opportunities in the present and looking closely to the future

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Journal of Intensive Medicine 2024年第1期4卷 34-45页

作者： Darragh o’reilly Jennifer McGrath Ignacio Martin-Loeches Department of Intensive Care Medicine Multidisciplinary Intensive Care Research Organization(MICRO)St James’HospitalDublinIreland Department of Respiratory Intensive care Hospital ClinicUniversitat de BarcelonaIDIBAPSCIBERESBarcelonaSpain

Sepsis remains a major challenge internationally for healthcare *** incidence is rising due to poor public awareness and delays in its recognition and subsequent *** sepsis,mortality increases with every hour left *** intelligence(AI)is transforming worldwide healthcare delivery at *** review has outlined how AI can augment strategies to address this global disease *** and machine learning(ML)algorithms can analyze vast quantities of increasingly complex clinical datasets from electronic medical records to assist clinicians in diagnosing and treating sepsis earlier than traditional *** review highlights how these models can predict the risk of sepsis and organ failure even before it *** gives providers additional time to plan and execute treatment plans,thereby avoiding increasing complications associated with delayed diagnosis of *** potential for cost savings with AI implementation is also discussed,including improving workflow efficiencies,reducing administrative costs,and improving healthcare *** these advantages,clinicians have been slow to adopt AI into clinical *** of the limitations posed by AI solutions include the lack of diverse data sets for model building so that they are widely applicable for routine clinical ***,the subsequent algorithms are often based on complex mathematics leading to clinician hesitancy to embrace such ***,we highlight the need for robust political and regulatory frameworks in this area to achieve the trust and approval of clinicians and patients to implement this transformational technology。

关键词： Artificial intelligence Data science Machine learning Intensive care unit(ICU) Critical care Sepsis

稳定期慢性阻塞性肺疾病的初级及二级医疗管理：NICE指南更新的概要

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英国医学杂志中文版 2010年第5期13卷 310-313页

作者： john o'reilly Melvyn M Jones Jill Pamham Kate Lovibond Michael Rudolf 唐晓(译) 代华平(校) Aintree University Hospital Liverpool L9 7AL University College London Medical School Department of Primary Care and Population Health London N19 5LW Warclen Lodge Surgery Cheshunt EN8 8NW National Clinical Guideline Centre Royal College of Physicians of London London NW1 4LE Ealing Hospital NHS Trust Ealing UB1 3HW 首都医科大学附属朝阳医院-北京呼吸疾病研究所

超过300万的英国居民患有慢性阻塞性肺疾病（CoPD），但是其中有超过200万的患者没有得到确诊，这些人被称为是“失踪百万”，从而来影射政府对于CoPD的策略方针。本文是英国国家卫生和临床医疗优化研究所（NICE）关于平稳慢性阻塞性肺... 详细信息

超过300万的英国居民患有慢性阻塞性肺疾病（CoPD），但是其中有超过200万的患者没有得到确诊，这些人被称为是“失踪百万”，从而来影射政府对于CoPD的策略方针。本文是英国国家卫生和临床医疗优化研究所（NICE）关于平稳慢性阻塞性肺疾病初级及次级医疗管理的最新建议的精要。是2004年NICE发布的CoPD指南的更新。精要包括有关CoPD最新诊断标准的囊要建议，气流受限严重程度分级的变化，

关键词：稳定期慢性阻塞性肺疾病 NICE 医疗管理指南 CoPD 严重程度分级临床医疗诊断标准

Toxicity of a seafood toxin， domoic acid， in the retina via modulation of the NRF2 and NF-κB pathways

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Food Science and Human Wellness 2024年

作者： Gabriel Mbuta Tchivelekete Yanqun Cao Mohammad Almarhoun Xinzhi Zhou Agostinho Francisco Cachapa Sebasti?o Tumitangua James reilly Patricia E.Martin Xinhua Shu Department of Biological and Biomedical Sciences， Glasgow Caledonian University Department of Marine Biology， Faculty of Natural Science， University of Namibe Puai Medical School， Shaoyang University Department of Vision Science， Glasgow Caledonian University

Domoic acid (DA)， a biotoxin， is produced by several species of marine dinoflagellate and diatom during harmful algal bloom events. DA is a neurotoxin， in humans and non-human primates， oral exposure to DA results in gastrointestinal effects， while DA at higher doses leads to neurological symptoms， seizures and memory deficiency. Exposure of humans to DA occurs mainly through consumption of contaminated seafoods containing an accumulation of the toxin. Previously， it was unclear if DA can have toxic effects on the retina. We assessed the toxicity of DA in human retinal cells (ARPE-19) and in zebrafish embryos. DA significantly lowered ARPE-19 cell viability dose-dependently， and decreased anti-oxidative capacity， increased inflammation， and promoted cell death， possibly through modulating the NRF2 and NF-κB signalling pathways. Zebrafish embryos exposed to DA for four days from one day post fertilization (dpf) had an increase in mortality and a decrease in both hatching and heartbeat rate and exhibited morphological abnormalities. DA treatment also significantly downregulated expression of antioxidant genes and upregulated expression of inflammation mediators， as well as causing photoreceptor death in zebrafish embryos. The results demonstrate that consuming seafood containing DA will have potential toxic effects in human retinas.

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Transformer for the Design of Automatic Control Systems with Prefilters

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World Journal of Engineering and Technology 2024年第3期12卷 575-586页

作者： Isaac Hughes john F. o’Brien Department of Electrical Engineering and Computer Science University of Wyoming Laramie USA

A machine learning model, using the transformer architecture, is used to design a feedback compensator and prefilter for various simulated plants. The output of the transformer is a sequence of compensator and prefilter parameters. The compensator and prefilter are linear models, preserving the ability to analyze the system with linear control theory. The input to the network is a window of recent reference and output samples. The goal of the transformer is to minimize tracking error at each time step. The plants under consideration range from simple to challenging. The more difficult plants contain closely spaced, lightly damped, complex conjugate pairs of poles and zeros. Results are compared to PID controllers tuned for a similar crossover frequency and optimal phase margin. For simple plants, the transformer converges to solutions which overly rely on the prefilter, neglecting the maximization of negative feedback. For more complex plants, the transformer designs a compensator and prefilter with more desirable qualities. In all cases, the transformer can start with random model parameters and modify them to minimize tracking error on the step reference.

关键词： Feedback Machine Learning Compensator Design