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Multi-objective optimization of building design for life cycle cost and C0_(2) emissions:A case study of a low-energy residential building in a severe cold climate

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Building Simulation 2022年第1期15卷 83-98页

作者： Qingwen Xue zhaojun wang Qingyan Chen School of Architecture Harbin Institute of TechnologyHarbin150090China School of Mechanical Engineering Purdue UniversityWest LafayetteIN 47907USA Key Laboratory of Cold Region Urban and Rural Human Settlement Environment Science and Technology Ministry of Industry and Information TechnologyHarbin150090China

Currently,building construction and operation are responsible for 36%of global final energy usage and nearly 40%of energy-related carbon dioxide(CO_(2))emissions.From the sustainable development perspective,it is crucial to consider the impact of construction material on the achievement of life cycle benefits.This study proposed a simulation-based multi-objective optimization method to minimize both life cycle cost and CO_(2) emissions of buildings.We built an energy simulation model with hybrid ventilation and light-dimming control in EnergyPlus based on an operational passive residential building in a severe cold climate.Next,this investigation selected insulation thickness,window type,window-to-wall ratio,overhang depth and building orientation as design variables.The study ran parametric simulations to establish a database and then used artificial neural network models to correlate the design variables and the objective functions.Finally,we used the multi-objective optimization algorithm NSGA-Ⅱ to search for the optimal design solutions.The results showed potential reductions of 10.9%-18.9%in life cycle cost and 13.5%-22.4%in life cycle CO_(2) emissions compared with the initial design.The results indicated that the optimization approach in this study would improve building performance.The optimal values of the design variables obtained in this study can guide designers in meeting economic and environmental targets in passive buildings.

关键词： passive building artificial neural network life cycle CO_(2)emissions natural ventilation multi-criteria optimization

Mining Syndrome Differentiating Principles from Traditional Chinese Medicine Clinical Data

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Computer Systems Science & Engineering 2022年第3期40卷 979-993页

作者： Jialin Ma zhaojun wang Hai Guo Qian Xie Tao wang Bolun Chen Jiangsu Internet of Things and Mobile Internet Technology Engineering Laboratory Huaiyin Institute of TechnologyHuaian223003China Huaiyin Wu Jutong Institute of Traditional Chinese Medicine Huaian223000China The Affiliated Huaian No.1 People’s Hospital of Nanjing Medical University Huaian223000China Jiangsu Eazytec Co. Ltd.WuxiChina University of Fribourg Fribourg1700Switzerland

Syndrome differentiation-based treatment is one of the key characteristics of Traditional Chinese Medicine(TCM).The process of syndrome differentiation is difficult and challenging due to its complexity,diversity and vagueness.Analyzing syndrome principles from historical records of TCM using data mining(DM)technology has been of high interest in recent years.Nevertheless,in most relevant studies,existing DM algorithms have been simply developed for TCM mining,while the combination of TCM theories or its characteristics with DM algorithms has rarely been reported.This paper presents a novel Symptom-Syndrome Topic Model(SSTM),which is a supervised probabilistic topic model with three-tier Bayesian structure.In the SSTM,syndromes are considered as observed topic labels to distinguish certain symptoms from possible symptoms according to their different positions.The generation of our model is in full compliance with the syndrome differentiation theory of TCM.Experimental results show that the SSTM is more effective than other models for syndrome differentiating.

关键词： TCM syndrome differentiation topic model LDA SSTM

SUNDER:Self-organized grouping and entrapping method for swarms in multitarget environments

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Defence Technology（防务技术） 2023年第8期26卷 68-83页

作者： Yutong Yuan Zhun Fan Xiaomin Zhu Li Ma Ji Ouyang Weidong Bao Ji wang zhaojun wang College of Systems Engineer National University of Defense TechnologyChangsha 410073China School of Electrical and Information Engineering Shantou UniversityShantou 515063China Strategic Assessments and Consultation Institute Academy of Military ScienceBeijing 100097China

For swarm robots moving in a harsh or uncharted outdoor environment without GPS guidance and global communication,algorithms that rely on global-based information are infeasible.Typically,traditional gene regulatory networks(GRNs)that achieve superior performance in forming trapping pattern towards targets require accurate global positional information to guide swarm robots.This article presents a gene regulatory network with Self-organized grouping and entrapping method for swarms(SUNDER-GRN)to achieve adequate trapping performance with a large-scale swarm in a confined multitarget environment with access to only local information.A hierarchical self-organized grouping method(HSG)is proposed to structure subswarms in a distributed way.In addition,a modified distributed controller,with a relative coordinate system that is established to relieve the need for global information,is leveraged to facilitate subswarms entrapment toward different targets,thus improving the global multi-target entrapping performance.The results demonstrate the superiority of SUNDERGRN in the performance of structuring subswarms and entrapping 10 targets with 200 robots in an environment confined by obstacles and with only local information accessible.

关键词： Swarm robots Local information Gene regulatory network Swarm grouping Trapping pattern Confined multitarget environment

High-speed image reconstruction for optically sectioned,super-resolution structured illumination microscopy

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Advanced Photonics 2022年第2期4卷 78-90页

作者： zhaojun wang Tianyu Zhao Huiwen Hao Yanan Cai Kun Feng Xue Yun Yansheng Liang Shaowei wang Yujie Sun Piero RBianco Kwangsung Oh Ming Lei Xi’an Jiaotong University School of PhysicsMOE Key Laboratory for Nonequilibrium Synthesis and Modulation of Condensed MatterShaanxi Province Key Laboratory of Quantum Information and Quantum Optoelectronic DevicesXi’anChina Peking University School of Life SciencesState Key Laboratory of Membrane Biology&Biomedical Pioneer Innovation Center(BIOPIC)BeijingChina Northwest A&F University College of ScienceYanglingChina University of Nebraska Medical Center College of PharmacyDepartment of Pharmaceutical SciencesOmahaNebraskaUnited States University of Nebraska Omaha College of Information Science&TechnologyDepartment of Computer ScienceOmahaNebraskaUnited States

Super-resolution structured illumination microscopy(SR-SIM)is an outstanding method for visualizing the subcellular dynamics in living cells.To date,by using elaborately designed systems and algorithms,SR-SIM can achieve rapid,optically sectioned,SR observation with hundreds to thousands of time points.However,real-time observation is still out of reach for most SIM setups as conventional algorithms for image reconstruction involve a heavy computing burden.To address this limitation,an accelerated reconstruction algorithm was developed by implementing a simplified workflow for SR-SIM,termed joint space and frequency reconstruction.This algorithm results in an 80-fold improvement in reconstruction speed relative to the widely used Wiener-SIM.Critically,the increased processing speed does not come at the expense of spatial resolution or sectioning capability,as demonstrated by live imaging of microtubule dynamics and mitochondrial tubulation.

关键词： real-time structured illumination microscopy high-speed image reconstruction live-cell imaging microtubule dynamics mitochondrial tubulation

COVID-19 transmission driven by age-group mathematical model in Shijiazhuang City of China

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Infectious Disease Modelling 2023年第4期8卷 1050-1062页

作者： Fengying Wei Ruiyang Zhou Zhen Jin Senzhong Huang Zhihang Peng Jinjie wang Ximing Xu Xinyan Zhang Jun Xu Yao Bai Xiaoli wang Bulai Lu zhaojun wang Jianguo Xu School of Mathematics and Statistics Fuzhou UniversityFuzhou350116FujianChina Center for Applied Mathematics of Fujian Province Fuzhou UniversityFuzhou350116FujianChina Key Laboratory of Operations Research and Control of Universities in Fujian Fuzhou UniversityFuzhou350116FujianChina Complex Systems Research Center Shanxi UniversityTaiyuan030006ShanxiChina School of Statistics and Data Science ZhiYing Research Center for Health DataNankai University300071TianjinChina Department of Biostatistics School of Public HealthNanjing Medical UniversityNanjing211166JiangsuChina Nankai Institute of Economics Binhai Development InstituteNankai UniversityTianjin300071China Children's Hospital of Chongqing Medical University Chongqing400010China Jinzhou Center for Disease Control and Prevention Jinzhou121000LiaoningChina School of Statistics and Data Science Nankai UniversityTianjin300071China Xi'an Center for Disease Control and Prevention Xi'an710061ShaanxiChina Beijing Center for Disease Control and Prevention Beijing100013China Suzhou Center for Disease Control and Prevention Suzhou215004JiangsuChina State Key Laboratory of Communicable Disease Prevention and Control National Institute for Communicable Disease Control and PreventionChinese Center for Disease Control and PreventionBeijing102206China Institute of Public Health Nankai UniversityTianjin300071China

Background:A COVID-19 outbreak in the rural areas of Shijiazhuang City was attributed to the complex interactions among vaccination,host,and non-pharmaceutical interventions(NPIs).Herein,we investigated the epidemiological characteristics of all reported symptomatic cases by picking Shijiazhuang City,Hebei Province in Northern China as research objective.In addition,we established an age-group mathematical model to perform the optimal fitting and to investigate the dynamical profiles under three scenarios.Methods:All reported symptomatic cases of Shijiazhuang epidemic(January 2-February 3,2021)were investigated in our study.The cases were classified by gender,age group and location,the distributions were analyzed by epidemiological characteristics.Furthermore,the reported data from Health Commission of Hebei Province was also analyzed by using an age-group mathematical model by two phases and three scenarios.Results:Shijiazhuang epidemic caused by SARS-CoV-2 wild strain was recorded with the peak 84 cases out of 868 reported symptomatic cases on January 11,2021,which was implemented with strong NPIs by local government and referred as baseline situation in this study.The research results showed that R0 under baseline situation ranged from 4.47 to 7.72,and Rt of Gaocheng Distinct took 3.72 with 95%confidence interval from 3.23 to 4.35 on January 9,the declining tendencies of Rt under baseline situation were kept till February 3,the value of Rt reached below 1 on January 19 and remained low value up to February 3 for Gaocheng District and Shijiazhuang City during Shijiazhuang epidemic.This indicated Shijiazhuang epidemic was under control on January 19.However,if the strong NPIs were kept,but remote isolation operated on January 11 was not implemented as of February 9,then the scale of Shijiazhuang epidemic reached 9,482 cases from age group who were 60 years old and over out of 31,017 symptomatic cases.The investigation also revealed that Shijiazhuang epidemic reached 132,648 symptomatic cases for age group who we

关键词： COVID-19 Wild strain Non-pharmaceutical interventions Shijiazhuang epidemic Transmission dynamics

Zoning strategy of zonal modeling for thermally stratified large spaces

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Building Simulation 2021年第5期14卷 1395-1406页

作者： Yanyu Lu zhaojun wang Jing Liu Jiankai Dong School of Architecture Harbin Institute of TechnologyHarbinHeilongjiang ProvinceChina Key Laboratory of Cold Region Urban and Rural Human Settlement Environment Science and Technology Ministry of Industry and Information TechnologyHarbinHeilongjiang ProvinceChina

Large space buildings play a significant role in modern society because of their environmental advantages and market value.While the zonal model is promising for the efficient and rapid evaluation of the stratified thermal environment,there is a lack of a reasonable and convenient zoning strategy with the advent of modern computing.This paper presents a universal and practical zonal model,in which a simplified momentum equation is applied to consider air momentum preservation,transformation,and dissipation.Hence,the zoning structure is generalized and flexible.Moreover,limiting the dimensionless temperature constraint between adjacent zones establishes the connection between thermal nonuniformity and zoning results automatically.Simultaneously,the dimension and number of zones should be restricted within reasonable ranges to satisfy the characteristics of zonal simulation and reach the criteria of convergence.To further explore and validate the zonal model,a reduced-scale experimental model was constructed to replicate the thermal stratification in a mechanically ventilated large space by considering many crucial realistic factors.A particle image velocimetry(PIV)measurement was then conducted to visualize the airflow pattern and support the partition of zones.The results showed that the zonal simulation with adaptive zoning method can realize a similar accuracy with fewer zones and exhibit a better tolerance for zoning results compared to the conventional empirical zoning method.Furthermore,a case study of an atrium was performed to demonstrate the practicality and efficiency of the method for long-term dynamic simulations of complex thermal environments and building energy use.

关键词： zoning method zonal simulation temperature gradient large space PIV

Study and prediction of the 2022 global monkeypox epidemic

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Journal of Biosafety and Biosecurity 2022年第2期4卷 158-162页

作者： Fengying Wei Zhihang Peng Zhen Jin Jinjie wang Ximing Xu Xinyan Zhang Jun Xu Zixiong Ren Yao Bai Xiaoli wang Bulai Lu zhaojun wang Jianguo Xu Senzhong Huang School of Mathematics and Statistics Fuzhou UniversityFuzhou 350116FujianChina Department of Biostatistics School of Public HealthNanjing Medical UniversityNanjing 211166JiangsuChina Complex Systems Research Center Key Discipline of Computer Science and Technology of“Double-First-Class”Project of Shanxi ProvinceShanxi UniversityTaiyuan 030006ShanxiChina Nankai Institute of Economics Binhai Development InstituteNankai UniversityTianjin 300071China Children’s Hospital of Chongqing Medical University Chongqing 400010China Jinzhou Center for Disease Control and Prevention Jinzhou 121000LiaoningChina School of Statistics and Data Science Nankai UniversityTianjin 300071China Xi’an Center for Disease Control and Prevention Xi’an 710061ShaanxiChina Beijing Center for Disease Control and Prevention Beijing 100013BeijingChina Suzhou Center for Disease Control and Prevention Suzhou 215004JiangsuChina State Key Laboratory of Communicable Disease Prevention and Control National Institute for Communicable Disease Control and PreventionChinese Center for Disease Control and PreventionBeijing 102206China School of Statistics and Data Science ZhiYing Research Center for Health DataNankai UniversityTianjin 300071China Institute of Public Health Nankai UniversityTianjin 300071China

The World Health Organization(WHO)declared monkeypox as a public health emergency of international concern(PHEIC)on July 23,2022,their highest level of alert.This raised concerns about the management of the global monkeypox outbreak,as well as the scientific analysis and accurate prediction of the future course of the epidemic.This study used EpiSIX(an analysis and prediction system for epidemics based on a general SEIR model)to analyze the monkeypox epidemic and to forecast the major tendencies based on data from the USA CDC(https://www.***.gov)and the WHO(https://www.***.int/health-topics/monkeypox).The global outbreak of monkeypox started in the UK on May 2,2022,which marked the beginning of an epidemic wave.As of October 28,2022,the cumulative number of reported cases worldwide was 77,115,with 36 deaths.EpiSIX simulations predict that the global monkeypox epidemic will enter a low epidemic status on March 1,2023 with the cumulative number of confirmed cases ranging from 85,000 to 124,000,and the total number of deaths ranging from 60 to 87.Our analysis revealed that the basic reproduction number(R0)of monkeypox virus(MPXV)is near to 3.1 and the percentage of asymptomatic individuals is 13.1%–14.5%,both of which are similar to the data for SARS.The vaccination efficiency against susceptibility(VEs)of individuals who have had monkeypox is~79%,and the vaccination efficiency against infectiousness(VEi)of individuals who have had monkeypox is~76%–82%.The mean incubation period for monkeypox is 8 days.In total,94.7%of infected individuals develop symptoms within 20 days and recover within 2 weeks after the confirmation of symptoms.Simulation results using EpiSIX showed that ring vaccination was remarkably effective against monkeypox.Our findings confirmed that a 20-day isolation for close contacts is necessary.

关键词： Monkeypox Epidemic Prediction Tendency

Off-axis optical levitation and transverse spinning of metallic microparticles

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Photonics Research 2021年第11期9卷 2144-2151页

作者： YANSHENG LIANG SHAOHUI YAN zhaojun wang BAOLI YAO MING LEI MOE Key Laboratory for Nonequilibrium Synthesis and Modulation of Condensed Matter Shaanxi Province Key Laboratory of Quantum Information and Quantum Optoelectronic DevicesSchool of PhysicsXi’an Jiaotong UniversityXi’an 710049China State Key Laboratory of Transient Optics and Photonics Xi'an Institute of Optics and Precision MechanicsChinese Academy of SciencesXi'an 710119China

Optical manipulation of metallic microparticles remains a significant challenge because of the strong scattering forces arising from the high extinction coefficient of the particles.This paper reports a new mechanism for stable confinement of metallic microparticles using a tightly focused linearly polarized Gaussian beam.Theoretical and experimental results demonstrate that metallic microparticles can be captured off the optical axis in such a beam.Meanwhile,the three-dimensionally confined particles are observed spinning transversely as a response to the asymmetric force field.The off-axis levitation and transverse spinning of metallic microparticles may provide a new way for effective manipulation of metallic microparticles.

关键词： particles. field. metallic

超声改性对花生蛋白乳液凝胶荷载姜黄素性能的影响

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河南工业大学学报（自然科学版） 2024年第2期45卷 41-48,57页

作者：闫红燕章绍兵王朝君河南工业大学粮油食品学院河南郑州450001

为提高姜黄素的生物利用度,以花生蛋白为乳化剂制备荷载姜黄素的乳液凝胶,考察了蛋白超声改性对姜黄素的包埋率、稳定性和体外消化特性的影响。结果表明:花生蛋白质量浓度为4 g/100 mL时所制备的乳液姜黄素包埋率最佳;中强度(200 W,20 m... 详细信息

为提高姜黄素的生物利用度,以花生蛋白为乳化剂制备荷载姜黄素的乳液凝胶,考察了蛋白超声改性对姜黄素的包埋率、稳定性和体外消化特性的影响。结果表明:花生蛋白质量浓度为4 g/100 mL时所制备的乳液姜黄素包埋率最佳;中强度(200 W,20 min)或高强度(600 W,20 min)超声改性使蛋白乳液粒径减小,姜黄素的包埋率增加至99.14%±0.05%,同时提高了姜黄素在乳液凝胶中的储藏稳定性和光稳定性;经中强度超声改性后,花生蛋白乳液凝胶中姜黄素的生物利用度(29.80%±0.83%)和脂肪酸释放率(83.24%±1.28%)均为最高;中或高强度超声改性显著提高了蛋白乳液凝胶的弹性模量(G′)。适当超声处理减小了花生蛋白乳液粒径,改善了乳液凝胶的质构特性,由此提升了乳液凝胶荷载姜黄素的性能。

关键词：花生蛋白超声改性乳液凝胶姜黄素体外消化