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Mechanism-driven strategies for prevention of rheumatoid arthritis

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Rheumatology & Autoimmunity 2022年第3期2卷 109-119页

作者： V.Michael holers Kristine A.Kuhn M.Kristen Demoruelle Jill M.Norris Gary S.Firestein Eddie A.James william h.robinson Jane h.Buckner Kevin D.Deane Division of Rheumatology University of Colorado School of MedicineAuroraColoradoUSA Department of Epidemiology Colorado School of Public HealthAuroraColoradoUSA Division of Rheumatology Allergy and ImmunologyUniversity of California San DiegoLa JollaCaliforniaUSA Benaroya Research Institute SeattleWashingtonUSA Division of Immunology and Rheumatology Stanford UniversityStanfordCaliforniaUSA Department of Medicine Division of RheumatologyVA Palo Alto Health Care SystemPalo AltoCaliforniaUSA

In seropositive rheumatoid arthritis(RA),the onset of clinically apparent inflammatory arthritis(IA)is typically preceded by a prolonged period of autoimmunity manifest by the presence of circulating autoantibodies that can include antibodies to citrullinated protein antigens(ACPA)and rheumatoid *** period before clinical IA can be designated preclinical RA in those individuals who have progressed to a clinical diagnosis of RA,and an“at‐risk”status in those who have not developed IA but exhibit predictive biomarkers of future clinical *** the goal of developing RA prevention strategies,studies have characterized immune phenotypes of preclinical RA/at-risk *** these studies,a model has emerged wherein mucosal inflammation and dysbiosis may lead first to local autoantibody production,which should normally be transient,but instead is followed by a systemic spread of the autoimmunity as manifested by serum autoantibody elevations,ultimately driving the development of clinically identified joint *** model can be envisioned as the progression of disease development through serial“checkpoints”that in principle should constrain or resolve autoimmunity;however,instead,the checkpoints“fail”and clinical RA *** we review the immune processes that are likely to be present at each step and the potential therapeutic strategies that could be envisioned to delay,diminish,halt,or even reverse the progression to clinical ***,these prevention strategies could utilize existing therapies approved for clinical RA,therapies approved for other diseases that target relevant pathways in the preclinical/at-risk state,or approaches that target novel pathways.

关键词： autoimmune disease inflammation mucosa prevention rheumatoid arthritis

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(porosityhaps an underestimate).Matrix gas permeability is strongly correlated to effective stress for the granite,but not for the porous *** experiments reveal the following 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

Modelling and Characterization of Basalt/Vinyl Ester/SiC Micro-and Nano-hybrid Biocomposites Properties Using Novel ANN–GA Approach

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Journal of Bionic Engineering 2024年第2期21卷 938-952页

作者： Yesudhasan Thooyavan Lakshmi Annamali Kumaraswamidhas robinson Dhas Edwin Raj Joseph Selvi Binoj Bright Brailson Mansingh Antony Sagai Francis Britto Alamry Ali Department of Mechanical Engineering Indian Institute of Technology Dhanbad(ISM)DhanbadJharkhand826004India Gati Shakti Vishwavidyalaya(GSV-A Central University Funded By GoI in the Ministry of Railways) LalbaugVadodaraGujarat390004India Institute of Mechanical Engineering Saveetha School of EngineeringSaveetha Institute of Medical and Technical Sciences(SIMATS)Saveetha UniversityChennaiTamilnadu602105India Metal Joining Research Centre Department of Mechanical EngineeringSri Ramakrishna Engineering CollegeCoimbatoreTamilnadu641022India Department of Mechanical Engineering Rohini College of Engineering and TechnologyPalkulamTamil Nadu629401India Department of Mechanical Engineering College of Engineering in Al-KharjPrince Sattam Bin Abdulaziz University11942Al-KharjSaudi Arabia

Basalt fiber reinforcement in polymer matrix composites is becoming more and more popular because of its environmental friendliness and mechanical qualities that are comparable to those of synthetic *** fiber strengthened vinyl ester matrix polymeric composite with filler addition of nano-and micro-sized silicon carbide(SiC)element spanning from 2 weight percent to 10 weight percent was studied for its mechanical and wear *** application of Artificial Neural Network(ANN)to correlate the filler addition composition for optimum mechanical properties is required due to the non-linear mechanical and tribological features of *** stuffing blend and composition of the composite are optimized using the hybrid model and Genetic Algorithm(GA)to maximize the mechanical and wear-resistant *** predicted and tested ANN–GA optimal values obtained for the composite combination had a tensile,flexural,impact resilience,hardness and wear properties of 202.93 MPa,501.67 MPa,3.460 J/s,43 hV and 0.196 g,respectively,for its optimum combination of filler and *** can be noted that the nano-sized SiC filler particle enhances most of the properties of the composite which diversifies its *** predicted mechanical and wear values of the developed ANN–GA model were in closer agreement with the experimental values which validate the model.

关键词： hybrid polymer composite Prediction Process modelling Artificial neural networks Genetic algorithm

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

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

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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

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

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

A Bayesian model calibration framework for stochastic compartmental models with both time-varying and timeinvariant parameters

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Infectious Disease Modelling 2024年第4期9卷 1224-1249页

作者： Brandon robinson Philippe Bisaillon Jodi D.Edwards Tetyana Kendzerska Mohammad Khalil Dominique Poirel Abhijit Sarkar Department of Civil and Environmental Engineering Carleton UniversityOttawaON K1S 5B6Canada School of Epidemiology and Public health University of Ottawa and University of Ottawa Heart InstituteOttawaOntarioCanada ICES OttawaOntarioCanada The Ottawa hospital Research Institute OttawaOntarioCanada Department of Medicine Faculty of MedicineDivision of RespirologyUniversity of OttawaOttawaOntarioCanada Quantitative Modeling&Analysis Department Sandia National LaboratoriesLivermoreCAUSA Department of Mechanical and Aerospace Engineering Royal Military College of CanadaKingstonONCanada

We consider state and parameter estimation for compartmental models having both timevarying and time-invariant *** this manuscript,we first detail a general Bayesian computational framework as a continuation of our previous ***,this framework is specifically tailored to the susceptible-infectious-removed(SIR)model which describes a basic mechanism for the spread of infectious diseases through a system of coupled nonlinear differential *** SIR model consists of three states,namely,the susceptible,infectious,and removed *** coupling among these states is controlled by two parameters,the infection rate and the recovery *** simplicity of the SIR model and similar compartmental models make them applicable to many classes of infectious ***,the combined assumption of a deterministic model and time-invariance among the model parameters are two significant impediments which critically limit their use for long-term *** tendency of certain model parameters to vary in time due to seasonal trends,non-pharmaceutical interventions,and other random effects necessitates a model that structurally permits the incorporation of such time-varying *** to this,is the need for a robust mechanism for the estimation of the parameters of the resulting model from *** this end,we consider an augmented state vector,which appends the time-varying parameters to the original system states whereby the time evolution of the time-varying parameters are driven by an artificial noise process in a standard *** between time-varying and time-invariant parameters in this fashion limits the introduction of artificial dynamics into the system,and provides a robust,fully Bayesian approach for estimating the timeinvariant system parameters as well as the elements of the process noise covariance *** computational framework is implemented by leveraging the robustness of the Markov chain Mont

关键词： Time-varying parameter estimation Bayesian inference Stochastic compartmental models

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