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城市规划汇刊 2002年第3期 75-78页

作者：沈清基沈贻同济大学建筑与城市规划学院

1引言

关键词：城市建设书评生态城市

CBE Clima Tool:A free and open-source web application for climate analysis tailored to sustainable building design

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Building Simulation 2024年第3期17卷 493-508页

作者： Giovanni Betti Federico Tartarini Christine Nguyen Stefano Schiavon Center for the Built Environment University of California BerkeleyBerkeleyUSA berkeley Education Alliance for Research in Singapore SingaporeSingapore Heat and Health Research Incubator Faculty of Medicine and HealthThe University of SydneyCamperdownAustralia College of Letters and Sciences University of California BerkeleyBerkeleyUSA

Climate-responsive building design holds immense potential for enhancing comfort,energy efficiency,and environmental ***,many social,cultural,and economic obstacles might prevent the wide adoption of designing climate-adapted *** of these obstacles can be removed by enabling practitioners to easily access,visualize and analyze local climate *** CBE Clima Tool(Clima)is a free and open-source web application that offers easy access to publicly available weather files and has been created for building energy simulation and *** provides a series of interactive visualizations of the variables contained in the EnergyPlus Weather Files and several derived ones like the UTCI or the adaptive comfort *** is aimed at students,educators,and practitioners in the architecture and engineering *** its inception,Clima’s user base has exhibited robust growth,attracting over 25,000 unique users annually from across 70 *** tool is poised to revolutionize climate-adaptive building design,transcending geographical boundaries and fostering innovation in the architecture and engineering fields.

关键词： architectural design climate analysis sustainable building design web application building energy simulation open-source software

An autonomous Unmanned Aerial Vehicle exploration platform with a hierarchical control method for post‐disaster infrastructures

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IET Cyber-Systems and Robotics 2024年第1期6卷 24-37页

作者： Xin Peng Gaofeng Su Raja Sengupta Department of Civil and Environmental Engineering University of CaliforniaBerkeleyBerkeleyCaliforniaUSA

Catastrophic natural disasters like earthquakes can cause infrastructure ***-gency response agencies need to assess damage precisely while repeating this process for infrastructures with different shapes and *** authors aim for an autonomous Unmanned Aerial Vehicle(UAV)platform equipped with a 3D LiDAR sensor to comprehensively and accurately scan the infrastructure and map it with a predefined resolution *** the inspection,the UAV needs to decide on the Next Best View(NBV)position to maximize the gathered information while avoiding collision at high *** authors propose solving this problem by implementing a hierarchical closed‐loop control system consisting of a global planner and a local *** global NBV planner decides the general UAV direction based on a history of measurements from the LiDAR sensor,and the local planner considers the UAV dynamics and enables the UAV to fly at high speed with the latest LiDAR *** proposed system is vali-dated through the Regional Scale Autonomous Swarm Damage Assessment simulator,which is built by the *** extensive testing in three unique and highly constrained infrastructure environments,the autonomous UAV inspection system suc-cessfully explored and mapped the infrastructures,demonstrating its versatility and applicability across various shapes of infrastructure.

关键词： autonomy hierarchical control structural health inspection Unmanned Aerial Vehicle

Evaluating different levels of information on the calibration of building energy simulation models

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Building Simulation 2024年第4期17卷 657-676页

作者： Siyu Cheng Zeynep Duygu Tekler Hongyuan Ji Wenxin Li Adrian Chong Department of the Built Environment College of Design and EngineeringNational University of Singapore4 Architecture DriveSingapore117566Singapore School of Civil Engineering and Architecture Chongqing University of Science and TechnologyChongqing401331China School of Energy and Environment Southeast UniversityNanjing210096China

A poorly calibrated model undermines confidence in the effectiveness of building energy simulation, impeding the widespread application of advanced energy conservation measures (ECMs). Striking a balance between information-gathering efforts and achieving sufficient model credibility is crucial but often obscured by ambiguities. To address this gap, we model and calibrate a test bed with different levels of information (LOI). Beginning with an initial model based on building geometry (LOI 1), we progressively introduce additional information, including nameplate information (LOI 2), envelope conductivity (LOI 3), zone infiltration rate (LOI 4), AHU fan power (LOI 5), and HVAC data (LOI 6). The models are evaluated for accuracy, consistency, and the robustness of their predictions. Our results indicate that adding more information for calibration leads to improved data fit. However, this improvement is not uniform across all observed outputs due to identifiability issues. Furthermore, for energy-saving analysis, adding more information can significantly affect the projected energy savings by up to two times. Nevertheless, for ECM ranking, models that did not meet ASHRAE 14 accuracy thresholds can yield correct retrofit decisions. These findings underscore equifinality in modeling complex building systems. Clearly, predictive accuracy is not synonymous with model credibility. Therefore, to balance efforts in information-gathering and model reliability, it is crucial to (1) determine the minimum level of information required for calibration compatible with its intended purpose and (2) calibrate models with information closely linked to all outputs of interest, particularly when simultaneous accuracy for multiple outputs is necessary.

关键词： calibration building energy simulation(BES) energy conservation measure(ECM) level of information field measurements

Improved genome annotation of Brassica oleracea highlights the importance of alternative splicing

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Horticultural Plant Journal 2024年第4期10卷 961-970页

作者： Yinqing Yang Lei Zhang Qi Tang Lingkui Zhang Xing Li Shumin Chen Kang Zhang Ying Li Xilin Hou Feng Cheng State Key Laboratory of Crop Genetics and Germplasm Enhancement College of HorticultureNanjing Agricultural UniversityNanjing 210095China State Key Laboratory of Vegetable Biobreeding Institute of Vegetables and FlowersChinese Academy of Agricultural SciencesKey Laboratory of Biology and Genetic Improvement of Horticultural Crops of the Ministry of Agriculture and Rural AffairsSino-Dutch Joint Laboratory of Horticultural GenomicsBeijing 100081China

Brassica oleracea has been developed into many important crops,including cabbage,kale,cauliflower,broccoli and so *** genome and gene annotation of cabbage(cultivar JZS),a representative morphotype of ***,has been widely used as a common reference in biological *** its genome assembly has been updated twice,the current gene annotation still lacks information on untranslated regions(UTRs)and alternative splicing(AS).Here,we constructed a high-quality gene annotation(JZSv3)using a full-length transcriptome acquired by nanopore sequencing,yielding a total of 59452 genes and 75684 ***,we re-analyzed the previously reported transcriptome data related to the development of different tissues and cold response using JZSv3 as a reference,and found that 3843 out of 11908 differentially expressed genes(DEGs)underwent AS during the development of different tissues and 309 out of 903 cold-related genes underwent AS in response to cold ***,we also identified many AS genes,including BolLHCB5 and BolHSP70,that displayed distinct expression patterns within variant transcripts of the same gene,highlighting the importance of JZSv3 as a pivotal reference for AS ***,JZSv3 provides a valuable resource for exploring gene function,especially for obtaining a deeper understanding of AS regulation mechanisms.

关键词： Brassica oleracea Oxford nanopore technologies Gene annotation Alternative splicing

Investigating explainable transfer learning for battery lifetime prediction under state transitions

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eScience 2024年第5期4卷 132-142页

作者： Tianze Lin Sihui Chen Stephen JHarris Tianshou Zhao Yang Liu Jiayu Wan Global Institute of Future Technology Shanghai Jiao Tong UniversityNo.800 Dongchuan RoadShanghai 200240China Department of Mechanical and Energy Engineering Southern University of Science and TechnologyShenzhen 518055China SUSTech Energy Institute for Carbon Neutrality Southern University of Science and TechnologyShenzhen 518055China Energy Storage and Distributed Resources Division Lawrence Berkeley National LabBerkeleyCA 94720USA Data Science Research CenterDuke Kunshan UniversityNo.8 Duke AvenueKunshan 215316China Center for Advanced Energy System and Reliability Shanghai Jiao Tong UniversityNo.800 Dongchuan RoadShanghai 200240China

Battery lifetime prediction at early cycles is crucial for researchers and manufacturers to examine product quality and promote technology *** learning has been widely utilized to construct data-driven solutions for high-accuracy ***,the internal mechanisms of batteries are sensitive to many factors,such as charging/discharging protocols,manufacturing/storage conditions,and usage *** factors will induce state transitions,thereby decreasing the prediction accuracy of data-driven *** learning is a promising technique that overcomes this difficulty and achieves accurate predictions by jointly utilizing information from various ***,we develop two transfer learning methods,Bayesian Model Fusion and Weighted Orthogonal Matching Pursuit,to strategically combine prior knowledge with limited information from the target dataset to achieve superior prediction *** our results,our transfer learning methods reduce root-mean-squared error by 41%through adapting to the target ***,the transfer learning strategies identify the variations of impactful features across different sets of batteries and therefore disentangle the battery degradation mechanisms and the root cause of state transitions from the perspective of data *** findings suggest that the transfer learning strategies proposed in our work are capable of acquiring knowledge across multiple data sources for solving specialized issues.

关键词： Battery life prediction Transfer learning State transitions Explainability Degradation mechanism

Estimating geographic variation of infection fatality ratios during epidemics

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Infectious Disease Modelling 2024年第2期9卷 634-643页

作者： Joshua Ladau Eoin L.Brodie Nicola Falco Ishan Bansal Elijah B.Hoffman Marcin P.Joachimiak Ana M.Mora Angelica M.Walker Haruko M.Wainwright Yulun Wu Mirko Pavicic Daniel Jacobson Matthias Hess James B.Brown Katrina Abuabara Departments of Computational Precision Health and Dermatology University of CaliforniaSan FranciscoCA94115USA Arva Intelligence Inc.Salt Lake CityUT84101USA Computational Biosciences Group Lawrence Berkeley National LaboratoryBerkeleyCA94720USA Earth and Environmental Sciences Area Lawrence Berkeley National LaboratoryBerkeleyCA94720USA Graduate Group in Biostatistics University of CaliforniaBerkeleyCA94720USA Biosystems Data Science Environmental Genomics and Systems BiologyLawrence Berkeley National LaboratoryBerkeleyCA94720USA Center for Environmental Research and Community Health(CERCH) School of Public HealthUniversity of CaliforniaBerkeleyCA94720USA Bredesen Center for Interdisciplinary Research and Graduate Education University of TennesseeKnoxvilleTN37996USA Department of Nuclear Science and Engineering Massachusetts Institute of TechnologyBostonMA02139USA Biosciences Oak Ridge National LaboratoryOak RidgeTN37830USA University of California DavisCA95616USA Statistics Department University of CaliforniaBerkeleyCA94720USA Division of Epidemiology and Biostatistics University of California Berkeley School of Public Health2121 Berkeley WayBerkeleyCA94720USA

Objectives We aim to estimate geographic variability in total numbers of infections and infection fatality ratios(IFR;the number of deaths caused by an infection per 1,000 infected people)when the availability and quality of data on disease burden are limited during an *** We develop a noncentral hypergeometric framework that accounts for differential probabilities of positive tests and reflects the fact that symptomatic people are more likely to seek *** demonstrate the robustness,accuracy,and precision of this framework,and apply it to the United States(U.S.)COVID-19 pandemic to estimate county-level SARS-CoV-2 *** The estimators for the numbers of infections and IFRs showed high accuracy and precision;for instance,when applied to simulated validation data sets,across counties,Pearson correlation coefficients between estimator means and true values were 0.996 and 0.928,respectively,and they showed strong robustness to model *** the county-level estimators to the real,unsimulated COVID-19 data spanning April 1,2020 to September 30,2020 from across the U.S.,we found that IFRs varied from 0 to 44.69,with a standard deviation of 3.55 and a median of *** The proposed estimation framework can be used to identify geographic variation in IFRs across settings.

关键词： Infection fatality ratio Infection fatality rate Noncentral hypergeometric distribution COVID-19 SARS-CoV-2

Assembly of highly efficient aqueous light-harvesting system from sequence-defined peptoids for cytosolic microRNA detection

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Nano Research 2024年第2期17卷 788-796页

作者： Yang Song Xiaoli Cai Mingming Wang Dan Du Yuehe Lin Chun-Long Chen Department of Mechanical and Materials Engineering Washington State UniversityPullmanWA 99164USA Division of Physical Sciences Pacific Northwest National LaboratoryRichlandWA 99352USA Department of Chemical Engineering University of WashingtonSeattleWA 98195USA

Precisely controlled spatial distributions of artificial light-harvesting systems in aqueous media are of significant importance for mimicking natural light-harvesting systems;however,they are often restrained by the solubility and the aggregation-caused quenching effect of the hydrophobic ***,we report one highly efficient artificial light-harvesting system based on peptoid nanotubes that mimic the hierarchical cylindrical structure of natural *** high crystallinity of these nanotubes enabled the organization of arrays of donor chromophores with precisely controlled spatial distributions,favoring an efficient Förster resonance energy transfer(FRET)process in aqueous *** FRET system exhibits an extremely high efficiency of 98.6%with a fluorescence quantum yield of 40%and an antenna effect of *** further demonstrated the use of this artificial light-harvesting system for quantifying miR-210 within cancer *** fluorescence intensity ratio of donor to acceptor is linearly related to the concentration of intercellular miR-210 in the range of 3.3–156 copies/*** high sensitivity in intracellular detection of miR-210 using this artificial light-harvesting system offers a great opportunity and pathways for biological imaging and detection,and for the further creation of microRNA(miRNA)toolbox for quantitative epigenetics and personalized medicine.

关键词： light-harvesting peptoid nanotube Förster resonance energy transfer intracellular RNA detection

3D microfluidic gradient generator for combination antimicrobial susceptibility testing

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Microsystems & Nanoengineering 2020年第1期6卷 229-242页

作者： Eric Sweet Brenda Yang Joshua Chen Reed Vickerman Yujui Lin Alison Long Eric Jacobs Tinglin Wu Camille Mercier Ryan Jew Yash Attal Siyang Liu Andrew Chang Liwei Lin Department of Mechanical Engineering University of CaliforniaBerkeleyCA 94720USA berkeley Sensor and Actuator Center BerkeleyCA 94720USA Department of Bioengineering University of CaliforniaBerkeleyCA 94720USA Department of Materials Science and Engineering University of CaliforniaBerkeleyCA 94720USA

Microfluidic concentration gradient generators(µ-CGGs)have been utilized to identify optimal drug compositions through antimicrobial susceptibility testing(AST)for the treatment of antimicrobial-resistant(AMR)***µ-CGGs fabricated via photolithography-based micromachining processes,however,are fundamentally limited to two-dimensional fluidic routing,such that only two distinct antimicrobial drugs can be tested at *** work addresses this limitation by employing Multijet-3D-printed microchannel networks capable of fluidic routing in three dimensions to generate symmetric multidrug concentration *** three-fluid gradient generation characteristics of the fabricated 3Dµ-CGG prototype were quantified through both theoretical simulations and experimental ***,the antimicrobial effects of three highly clinically relevant antibiotic drugs,tetracycline,ciprofloxacin,and amikacin,were evaluated via experimental single-antibiotic minimum inhibitory concentration(MIC)and pairwise and three-way antibiotic combination drug screening(CDS)studies against model antibiotic-resistant Escherichia coli *** such,this 3Dµ-CGG platform has great potential to enable expedited combination AST screening for various biomedical and diagnostic applications.

关键词： gradient testing fluid

Solid State Physics View of Liquid State Chemistry—Electrical conduction in pure water

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Journal of Semiconductors 2013年第12期34卷 1-8页

作者：揭斌斌薩支唐 Department of Physics Xiamen University Chinese Academy of Sciences

Engineering characterization of water has produced huge varieties of materials with special properties to meet human needs. Equilibrium properties of water-based liquids are well understood via localized atomic and molecular orbital theories. However, the mechanism of electrical conductivity of pure water has proven elusive. We show here it is trapping limited drift of positive and negative quasi-protons （or protons and proton-vacancies） on the extended water lattice, which is accounted for by the long-range correlation inherent in the Fermion （electrons and protons） and Boson （phonons） energy band theory of quasi-particles in solids, with vigorous adherence to equilibrium and nonequilibrium states.

关键词： solid state physics liquid state chemistry pure water proton proton vacancy band and bond