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Stochastic modelling of infectious diseases for heterogeneous populations

Infectious Diseases of Poverty 2016年第1期5卷 982-992页

作者： Rui-Xing Ming Jiming Liu william k.w.cheung Xiang wan School of Statistics&Mathematics Zhejiang Gongshang UniversityHangzhouChina Department of Computer Science Hong Kong Baptist UniversityKowloon TongHong Kong Department of Computer Science&Institute of Theoretical and Computational Study Hong Kong Baptist UniversityKowloon TongHong Kong

Background:Infectious diseases such as SARS and H1N1 can significantly impact people’s lives and cause severe social and economic *** outbreaks have stressed the urgency of effective research on the dynamics of infectious disease ***,it is difficult to predict when and where outbreaks may emerge and how infectious diseases spread because many factors affect their transmission,and some of them may be ***:One feasible means to promptly detect an outbreak and track the progress of disease spread is to implement surveillance systems in regional or national health and medical *** accumulated surveillance data,including temporal,spatial,clinical,and demographic information can provide valuable information that can be exploited to better understand and model the dynamics of infectious disease *** aim of this work is to develop and empirically evaluate a stochastic model that allows the investigation of transmission patterns of infectious diseases in heterogeneous ***:we test the proposed model on simulation data and apply it to the surveillance data from the 2009 H1N1 pandemic in Hong *** the simulation experiment,our model achieves high accuracy in parameter estimation(less than 10.0%mean absolute percentage error).In terms of the forward prediction of case incidence,the mean absolute percentage errors are 17.3%for the simulation experiment and 20.0%for the experiment on the real surveillance ***:we propose a stochastic model to study the dynamics of infectious disease spread in heterogeneous populations from temporal-spatial surveillance *** proposed model is evaluated using both simulated data and the real data from the 2009 H1N1 epidemic in Hong kong and achieves acceptable prediction *** believe that our model can provide valuable insights for public health authorities to predict the effect of disease spread and analyse its underlying factors and to guide new control efforts.

关键词： Epidemiology Stochastic model Surveillance system Spread pattern

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Erratum to: Stochastic modelling ofinfectious diseases for heterogeneouspopulations

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Infectious Diseases of Poverty 2017年第1期6卷 448-448页

Erratum After the publication of this work[1],we noticed an error the author’s name Ji-Ming Liu should be spelt as Jiming *** original article was *** publisher apologises for this error.

关键词： corrected modelling error.

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Sb^(3+)and Sm^(3+)co-doped lead-free Cs_(2)NaInCl_(6)double perovskite nanocrystals for single-component cold white emitter

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Journal of Rare Earths 2024年第9期42卷 1646-1651,I0001页

作者： Biao Zhou Xiangtong Zhang Ranran Hu Ruixue Hou william w.Yu key Laboratory for Special Functional Materials of Ministry of Education National&Local Joint Engineering Research Centre for High-Efficiency Display and Lighting TechnologySchool of Materials and EngineeringCollaborative Innovation Centre of Nano Functional Materials and ApplicationsHenan UniversityKaifeng475000China School of Chemistry and Chemical Engineering Shandong UniversityJinan250100China

Metal halide perovskites exhibit promising prospect in light-emitting diodes,solar cells,photodetectors and ***,the workhorse of metal halide perovskites relies on toxicity lead element,which severely damages human body and *** lead-free perovskites,Cs_(2)NaInCl_(6)double perovskite is one of the most promising candidates because of its great stability and easy synthesis,but suffers inadequate optical ***,we doped Sb^(3+)and Sm^(3+)into Cs_(2)NaInCl_(6)nanocrystals by a hot injection ***_(2)NaInCl_(6):Sb^(3+)exhibits blue emission at 447 ***_(2)NaInCl_(6):Sm^(3+),Sb^(3+)nanocrystals simultaneously generate the blue emission of Sb^(3+)and the multiple emissions of Sm^(3+)at 565,602,650 and 710 *** the increase of Sm^(3+)feed ratio,the emission color of Cs_(2)NaInCl_(6):Sm^(3+),Sb^(3+)gradually moves to cold white region at(0.27,0.28)in CIE chromaticity diagram and correlated color temperature of 11840 *** work shows the potential application of Cs_(2)NaInCl_(6):Sm^(3+),Sb^(3+)nanocrystals as a single-component cold white emitter.

关键词： Lead-free Double perovskites Single component white emitter Doping Rare earths

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william Morris,Establishing the Foundation for the Advancement of TCM in the US

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Chinese Medicine and Culture 2024年第1期7卷 29-40页

作者： Ioannis Solos Charles Buck william Morris Saint George Clinic and Research Institute Scottsdale 85251the United States of America Northern College of Acupuncture Micklegate YO16LJthe United Kingdom AOMA Graduate School of Integrative Medicine Austin 78745the United States of America

The interview was conducted on March 2nd, 2023 by Ioannis Solos and Charles Buck. william Morris has sustained practice since 1980. He has served on the California, Texas and Massachusetts Professional Associations, as well as the National Association. He has tendered 20 years of service to the field through academic medicine, earning a master’s degree in medical education to assist in developing Chinese medical doctoral programs and institutional review boards. He earned an OM.D. in 1988, a DAOM in 2002, and a Ph.D. focused on pulse diagnosis as clinical epistemology in 2009. He has published five books, including TCM Case Studies Dermatology, Li Shi-zhen Pulse Studies: An Illustrated Guide, Neoclassical Pulse Diagnosis, Cycles in Medical Astrology, and Transformation: Treating Trauma with Acupuncture and Herbs.

关键词： Acupuncture sustained diagnosis

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Deletion of Axin1 in aggrecan-expressing cells leads to growth plate cartilage defects in adult mice

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Genes & Diseases 2024年第4期11卷 149-151页

作者： Dan Yi Hongting Jin william w.Lu Chunxiang Zhang Guozhi Xiao Liping Tonag Di Chen Research Center for Computer-aided Drug Discovery Shenzhen Institute of Advanced TechnologyChinese Academy of SciencesShenzhenGuangdong 518055China PFaculty of Pharmaceutical Sciences Shenzhen Institute of Advanced TechnologyChinese Academy of SciencesShenzhenGuangdong 518055China The First College of Clinical Medicine Zhejiang Chinese Medical UniversityHangzhouZhejiang 310053China Department of Cardiology Basic Medicine Innovation Centerfor Cardiometabolic Diseases of Ministry of EducationInstitute of Cardiovascular ResearchThe Affiliated HospitalSouthwest Medical UniversityLuzhouSichuan 646000China School of Medicine Southern University of Science and TechnologyShenzhenGuangdong 518055China

In mammals,skeletal bone development begins at hyaline cartilage formation at the early embryonic stage.1Then osteoblasts from the periosteum,which are distributed surrounding the hyaline cartilage,build up compact bone to formdiaphysis and spongy bone known as primary ossification center.1 Next,osteoclasts from the hematopoietic system destroy spongy bone to generate a medullary cavity.

关键词： cartilage skeletal medullary

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Hydromechanical characterization of gas transport amidst uncertainty for underground nuclear explosion detection

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Journal of Rock Mechanics and Geotechnical Engineering 2024年第6期16卷 2019-2032页

作者： wenfeng Li Chelsea w.Neil J william Carey Meng Meng Luke P.Frash Philip H.Stauffer Earth and Environmental Sciences Los Alamos National LaboratoryLos AlamosNM87544USA Department of Mineral Engineering New Mexico TechSocorroNM87801USA

Given the challenge of definitively discriminating between chemical and nuclear explosions using seismic methods alone,surface detection of signature noble gas radioisotopes is considered a positive identification of underground nuclear explosions(UNEs).However,the migration of signature radionuclide gases between the nuclear cavity and surface is not well understood because complex processes are involved,including the generation of complex fracture networks,reactivation of natural fractures and faults,and thermo-hydro-mechanical-chemical(THMC)coupling of radionuclide gas transport in the *** this study,we provide an experimental investigation of hydro-mechanical(HM)coupling among gas flow,stress states,rock deformation,and rock damage using a unique multi-physics triaxial direct shear rock testing *** testing system also features redundant gas pressure and flow rate measurements,well suited for parameter uncertainty *** porous tuff and tight granite samples that are relevant to historic UNE tests,we measured the Biot effective stress coefficient,rock matrix gas permeability,and fracture gas permeability at a range of pore pressure and stress *** Biot effective stress coefficient varies from 0.69 to 1 for the tuff,whose porosity averages 35.3%±0.7%,while this coefficient varies from 0.51 to 0.78 for the tight granite(porositywing key engineering implications on transport of radionuclide gases post a UNE event:(1)The porous tuff shows apparent fracture dilation or compression upon stress changes,which does not necessarily change the gas permeability;(2)The granite fracture permeability shows strong stress sensitivity and is positively related to shear displacement;and(3)Hydromechanical coupling among stress states,rock damage,and gas flow appears to be

关键词： Underground nuclear explosion uncertainty quantification Radionuclide transport Biot effective stress coefficient Fracture permeability Matrix permeability

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Developing a new agenda for increased food and climate security

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Frontiers of Agricultural Science and Engineering 2024年第1期11卷 35-54页

作者： william J.DAVIES Lancaster Environment Centre Lancaster UniversityLancasterLA14YQUK

In many countries, political and environmental pressures are currently combining to generate a perfect storm of circumstances that is reducing food availability, increasing food costs and thereby reducing the availability of food to many. The Uk is currently considering new national food and land management policies, and attention is also being given to legislation to address diet-related health issues. Many now argue for a revolution in Uk farming practices to reduce their impact on the natural environment. The Uk is not alone in facing these and other challenges. Both the contribution of agriculture to greenhouse gas(GHG) emissions and the effects of climate change on food production are issues receiving worldwide *** agricultural practices can result in greater C capture, reduced GHG emissions, enhanced soil quality and enhanced biodiversity. However, it is questioned if such farming systems will be productive enough to feed a growing population with the food required for social and health benefits. To fully exploit the impact of new plant science in farmer fields, it is imperative to effectively link science to farming practices and conduct a broader conversation around the food revolution with social scientists and with the general public.

关键词： Climate resilience food security human health planetary health regenerative agriculture

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Ion migration in 3D metal halide perovskite field effect transistors

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Electron 2024年第2期2卷 85-97页

作者： Jinghai Li Yanyan Gong william w.Yu School of Chemistry and Chemical Engineering Shandong UniversityJinanChina Shandong Provincial key Laboratory for Science of Material Creation and Energy Conversion Science Center for Material Creation and Energy ConversionInstitute of Frontier and Interdisciplinary ScienceShandong UniversityQingdaoChina State key Laboratory of Biobased Material and Green Papermaking Qilu University of Technology(Shandong Academy of Sciences)JinanChina

3D perovskite materials are advancing rapidly in the field of photovoltaics and light-emitting diodes,but the development in field effect transistors(FETs)is limited due to their intrinsic ion *** migration in perovskite FETs can screen the electric field of the gate and affect its modulation,as well as influence the charge carriers transport,leading to non-ideal device characteristics and lower device ***,we provide a concise review that explains the mechanism of ion migration,summarizes the strategies for suppressing ion migration,and concludes with a discussion of the future prospects for 3D perovskite FETs.

关键词： 3D metal halide perovskite field effect transistors ion migration

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Grow-light smart monitoring system leveraging lightweight deep learning for plant disease classification

Artificial Intelligence in Agriculture

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Artificial Intelligence in Agriculture 2024年第2期12卷 44-56页

作者： william Macdonald Yuksel Asli Sari Majid Pahlevani Department of Electrical&Computer Engineering Queen's UniversityKingstonON K7L 3N6Canada The Robert M.Buchan Department of Mining Queen's UniversityKingstonON K7L 3N6Canada

This work focuses on a novel lightweight machine learning approach to the task of plant disease classification,posing as a core component of a larger grow-light smart monitoring *** the extent of our knowledge,this work is the first to implement lightweight convolutional neural network architectures leveraging down-scaled versions of inception blocks,residual connections,and dense residual connections applied without pre-training to the PlantVillage *** novel contributions of this work include the proposal of a smart monitor-ing framework outline;responsible for detection and classification of ailments via the devised lightweight net-works as well as interfacing with LED grow-light fixtures to optimize environmental parameters and lighting control for the growth of plants in a greenhouse *** adaptation of dense residual connections achieved the best balance of minimizing model parameters and maximizing performance metrics with accuracy,precision,recall,and F1-scores of 96.75%,97.62%,97.59%,and 97.58%respectively,while consisting of only 228,479 model *** results are further compared against various full-scale state-of-the-art model architectures trained on the PlantVillage dataset,of which the proposed down-scaled lightweight models were capable of performing equally to,if not better than many large-scale counterparts with drastically less com-putational requirements.

关键词： Plant disease classification Smart monitoring Deep learning Residual connections Inception Dense residual connections

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Detection of onset of agglomeration in a bubbling fluidized bed biomass combustor using reactive Eulerian computational fluid dynamics

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Particuology 2024年第7期90卷 504-515页

作者： Abdullah Tasleem Atta Ullah Fei Li Qun Yi william Nimmo Syed Sheraz Daood Department of Chemical Engineering Pakistan Institute of Engineering and Applied Sciences(PIEAS)Lehtrar RoadP.O.Nilore45650IslamabadPakistan Institute of Process Engineering Chinese Academy of SciencesBeijing100190China School of Chemical Engineering and Pharmacy Wuhan Institute of TechnologyWuhan430205China Energy Engineering Group Energy 2050Department of Mechanical EngineeringUniversity of SheffieldSheffieldS37RDUnited Kingdom Institute of Energy and Environmental Engineering Faculty of ElectricalEnergy&Environmental EngineeringUniversity of the PunjabQuaid-e-Azam CampusLahorePakistan Energy Engineering Research and Development Centre Faculty of ElectricalEnergy&Environmental EngineeringUniversity of the PunjabQuaid-e-Azam CampusLahorePakistan

The choice of a type of combustion technology to be used for heat or power generation depends on economic,technical,operational and fuel availability *** benefits associated with the evolving market driven by the fluidised bed combustion(FBC)technology cannot be overlooked especially when gauged at 65 Gwth of worldwide installed capacity alongside added benefits of handling fuel variation,low pollutant emissions and high combustion *** or biomass waste will continue to have a vital role to play in the future FBC technology-based power *** often contains high levels of inorganic species that can form sticky agglomerates posing a significant risk to boiler operation resulting in unscheduled *** added complexity of the behaviour of the fuel and bed material mix highlights the requirement for simulation models to identify agglomeration to help improve the overall performance and reliability of FBC *** resolve this problem,this research devised a simulation strategy for the detection of agglomeration using the Eulerian–Eulerian *** developed modelling strategy is validated with the experimental data available in literature for two-dimensional simplified geometry of a pilot-scale fluidised bed *** model results were found promising and robust to predict bed defluidisation times and other parameters consistent with the experimental data.

关键词： Fluidized bed combustion Eulerian Models Biomass Agglomeration Defluidisation

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