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17th International Conference on Indoor Air Quality and Climate, INDOOR AIR 2022

作者： Zhang, Xiaojing Mishra, Asit Wargocki, Pawel Beijing Key Laboratory of Green Built Environment and Energy Efficient Technology College of Architecture and Civil Engineering Beijing University of Technology Beijing100124 China MaREI Centre Ryan Institute School of Engineering College of Science and Engineering National University of Ireland Galway Galway Ireland International Centre for Indoor Environment and Energy Department of Civil Engineering Technical University of Denmark Kongens LyngbyDK-2800 Denmark

We summarized published evidence linking indoor carbon dioxide (CO2) concentrations with cognitive performance, physiological responses, and health effects. We included studies where CO2 was used as a proxy of ventilation, an indicator of emissions from humans (bioeffluents), and an independent exposure factor. Poor ventilation, demonstrated by high indoor CO2, related to increased prevalence of sick building syndrome symptoms (SBS) and decreased cognitive performance. Exposures to both human bioeffluents and pure CO2 could impair cognitive performance at typical indoor levels of CO2≤5, 000 ppm. The effects could occur at different CO2 levels, depending on the type of cognitive task. A clear physiological explanation of the observed effects requires additional research. © 2022 17th International Conference on Indoor Air Quality and Climate, INDOOR AIR 2022. All rights reserved.

关键词： Carbon dioxide

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Large-scale synthesis of metal nanosheets as highly active catalysts: Combining accumulative roll-bonding and etching process

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Frontiers of Materials science 2021年第3期15卷 456-464页

作者： Yuxin OUYANG Juan LIU Yue XIN Wenkun ZHU Hailiang YU Liangbing WANG State Key Laboratory for Powder Metallurgy Key Laboratory of Electronic Packing and Advanced Functional Materials of Hunan ProvinceSchool of Materials Science and EngineeringCentral South UniversityChangsha 410083China State Key Laboratory of High Performance Complex Manufacturing College of Mechanical and Electrical EngineeringLight Alloys Research InstituteCentral South UniversityChangsha 410083China State Key Laboratory of Environment-friendly Energy Materials National Co-innovation Center for Nuclear Waste Disposal and Environmental SafetyNuclear Waste and Environmental Safety Key Laboratory of DefenseSchool of National Defence Science&TechnologySouthwest University of Science and TechnologyMianyang 621010China

Metal nanosheets with ultrathin layer of metal atoms represent relatively high specific surface area and fast electronic transmission[1–2].Besides,metal nanosheets are considered to expose abundant active sites,thereby exhibiting significant advantages[3].As a result,metal nanosheets have attracted widespread attention in the field of catalysis[4–8],energy storage[9–10],environmental protection[11],and sensing[12]in recent *** example,amorphous Ir nanosheets were found to be effectively applied to oxygen evolution reaction(OER)under acidic media with a high mass activity of 221.8 A·g^(–1)[4].

关键词： bonding synthesis sheets

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Artificial intelligence powered large-scale renewable integrations in multi-energy systems for carbon neutrality transition: Challenges and future perspectives

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Energy and AI 2022年第4期10卷 242-261页

作者： Zhengxuan Liu Ying Sun Chaojie Xing Jia Liu Yingdong He Yuekuan Zhou Guoqiang Zhang College of Civil Engineering National Center for International Research Collaboration in Building Safety and EnvironmentHunan UniversityChangsha410082China Faculty of Architecture and the Built Environment Delft University of TechnologyJulianalaan 1342628 BLDelftNetherlands Energy and Environment Group Department of BuildingCivil and Environmental EngineeringConcordia UniversityMontrealCanada College of Civil Engineering Guangzhou UniversityGuangzhouChina Department of Building Environment and Energy Engineering The Hong Kong Polytechnic UniversityKowloonHong KongChina Guangdong Provincial Key Laboratory of Building Energy Efficiency and Application Technologies Guangzhou UniversityGuangzhouChina Sustainable Energy and Environment Thrust Function HubThe Hong Kong University of Science and Technology(Guangzhou)Nansha511400GuangdongChina Department of Mechanical and Aerospace Engineering The Hong Kong University of Science and TechnologyClear Water BayHong Kong Special Administrative RegionChina HKUST Shenzhen-Hong Kong Collaborative Innovation Research Institute ShenzhenChina

The vigorous expansion of renewable energy as a substitute for fossil energy is the predominant route of action to achieve worldwide carbon neutrality. However, clean energy supplies in multi-energy building districts are still at the preliminary stages for energy paradigm transitions. In particular, technologies and methodologies for large-scale renewable energy integrations are still not sufficiently sophisticated, in terms of intelligent control management. Artificial intelligent (AI) techniques powered renewable energy systems can learn from bioinspired lessons and provide power systems with intelligence. However, there are few in-depth dissections and deliberations on the roles of AI techniques for large-scale integrations of renewable energy and decarbonisation in multi-energy systems. This study summarizes the commonly used AI-related approaches and discusses their functional advantages when being applied in various renewable energy sectors, as well as their functional contribution to optimizing the operational control modalities of renewable energy and improving the overall operational effectiveness. This study also presents practical applications of various AI techniques in large-scale renewable energy integration systems, and analyzes their effectiveness through theoretical explanations and diverse case studies. In addition, this study introduces limitations and challenges associated with the large-scale renewable energy integrations for carbon neutrality transition using relevant AI techniques, and proposes further promising research perspectives and recommendations. This comprehensive review ignites advanced AI techniques for large-scale renewable integrations and provides valuable informational instructions and guidelines to different stakeholders (e.g., engineers, designers and scientists) for carbon neutrality transition.

关键词： Artificial intelligent techniques Renewable energy Large-scale integration Energy transition Carbon neutrality

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Half-Precessional Cycle Revealed by environment Magnetism of Stalagmite in Shizhu Cave from Southwestern China during the Last Glacial

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Journal of Earth science 2025年第3期36卷 1251-1260页

作者： Yang, Huihui Chou, Yu-Min Jiang, Xiuyang Xia, Wenyue Li, Hai Zhong, Yi Zhang, Jingyu He, Yaoqi Yu, Tsai-Luen Liu, Qingsong Shen, Chuan-Chou School of Environment Harbin Institute of Technology Harbin China Center for Marine Magnetism (CM2) Department of Ocean Science and Engineering Southern University of Science and Technology Shenzhen China Southern Marine Science and Engineering Guangdong Laboratory (Guangzhou) Guangzhou China Key Laboratory of Humid Subtropical Eco-Geographical Processes College of Geography Science Fujian Normal University Fuzhou China College of Tourism and Air Service Guizhou Minzu University Guiyang China Research Center for Future Earth National Taiwan University Taipei Taiwan China High-Precision Mass Spectrometry and Environment Change Laboratory (HISPEC) Department of Geosciences National Taiwan University Taipei Taiwan China

The environmental magnetic proxies of stalagmites hold significant potential for reconstructing regional hydroclimate changes by revealing the content and grain size of magnetic particles within stalagmites. In this study, we present the contents and grain sizes of magnetic particles within a stalagmite SZ-1, from Shizhu Cave in southwestern China from 70.4 to 22.3 thousand years ago (ka) during the last glacial period. Specifically, the parameters IRMsoft, soil-derived magnetic minerals, and ARM/SIRM (anhysteretic remanent magnetization/saturation isothermal remanent magnetization), the ratio of fine magnetic particles to total ferrimagnetic particles preserved in stalagmite SZ-1, indicate the fluctuation of regional precipitation. Obvious half-precessional cycles are evident in these two proxies, indicating that hydroclimatic variations in southwestern China may predominantly arise from the heat and moisture transported from tropical oceans. These variations are likely influenced by shifts in the Intertropical Convergence Zone and fluctuations in the Asian Summer Monsoon.

关键词： half-precessional magnetic particles stalagmite Southwest China regional paleoclimate climate change environmental geology

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Effects of Different Applying Voltage Methods on Nitrogen Removal Efficiency and Microbial Metabolism of Microbial Electrolysis Cell Coupled Anammox

SSRN

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SSRN 2023年

作者： Liu, Xiuhong Sun, Anran Zhang, Shiyong Yang, Qing Huang, Songqing Zhang, Nan Key Laboratory of Beijing for Water Quality Science and Water Environment Recovery Engineering Beijing University of Technology Beijing100124 China National Engineering Laboratory for Advanced Municipal Wastewater Treatment and Reuse Technology Beijing University of Technology Beijing100124 China

The slow growth and difficulty in cultivating Anammox bacteria limit the rapid start-up and effective microbial enrichment of Anammox process. In this study, microbial electrolysis cell (MEC) was coupled with Anammox to investigate the effects of different applying voltage methods on substrate removal efficiency and rates, microbial community structure, Anammox metabolism and metabolic pathways. The results showed that applying voltage not only improved NH4+-N removal efficiency and NH4+-N removal rates, but also promoted the electron transfer efficiency, key enzyme activity and EPS secretion in the systems. Step-up voltage was more conducive to the growth of Candidatus_Kuenenia in the cathode, which promoted the rapid start-up of Anammox and treating wastewater with low ammonia concentration. The main metabolic pathway in step-up voltage operation was hydrazine to nitrogen, while in constant voltage operation was hydroxylamine oxidation pathway. These findings provide a new insight into the enhancement and operation of Anammox system. © 2023, The Authors. All rights reserved.

关键词： Wastewater treatment

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Adenine base editor incorporating the N-methylpurine DNA glycosylase MPGv3 enables efficient A-to-K base editing in rice

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Plant Communications 2023年第6期4卷 230-233页

作者： Xuemei Wu Bin Ren Lang Liu Shengqun Qiu Xin’ge Li Peijing Li Fang Yan Honghui Lin Xueping Zhou Dawei Zhang Huanbin Zhou Ministry of Education Key Laboratory for Bio-Resource and Eco-Environment College of Life ScienceState Key Laboratory of Hydraulics and Mountain River EngineeringSichuan UniversityChengdu 610064China State Key Laboratory for Biology of Plant Diseases and Insect Pests Institute of Plant ProtectionChinese Academy of Agricultural SciencesBeijing 100193China Scientific Observing and Experimental Station of Crop Pests in Guilin Ministry of Agriculture and Rural AffairsGuilin 541399China Department of Plant Pathology China Agricultural UniversityBeijing 100193China State Key Laboratory of North China Crop Improvement and Regulation College of Plant ProtectionHebei Agricultural UniversityBaoding 071000China School of Life Science and Technology Hubei Engineering UniversityXiaogan 432000China State Key Laboratory of Rice Biology Institute of BiotechnologyZhejiang UniversityHangzhou 310058China Hainan Yazhou Bay Seed Lab/National Nanfan Research Institute(Sanya) Chinese Academy of Agricultural SciencesSanya 572024China

Dear Editor,Crop genetic diversity and elite agronomic traits are mainly caused by genetic variants,approximately half of which are single-nucleotide *** nucleotide substitution through CRISPR–Cas-mediated base editors has been widely used to correct defective alleles and create novel alleles by artificial evolution for rapid crop genetic *** 2017,cytosine base editors(CBEs)and adenine base editors(ABEs)have been successively developed in many plant species and have been continuously optimized to generate highly efficient C-to-T and A-to-G transitions,as well as by-product C-to-A/G conversion with low efficiency(Ren et al.,2018;Yan et al.,2021).

关键词： elite base editor

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Plasma-Introduced Vacancies in VS2for High-Performance Lithium-Ion Storage

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ACS Sustainable Chemistry & engineering 2025年第24期13卷 9009-9020页

作者： Jing Li Guansheng Ma Zhengguang Shi Sushmita Dwivedi Yaohui Zhang You Wang Cheng-Te Lin Hsu-Sheng Tsai School of Physics Harbin Institute of Technology 150001 Harbin China；Laboratory for Space Environment and Physical Sciences Harbin Institute of Technology 150001 Harbin China；Department of Mechanical Engineering National University of Singapore 117575 Singapore Singapore Department of Mechanical Engineering National University of Singapore 117575 Singapore Singapore；School of Materials Science and Engineering Harbin Institute of Technology 150001 Harbin China School of Physics Harbin Institute of Technology 150001 Harbin China；Laboratory for Space Environment and Physical Sciences Harbin Institute of Technology 150001 Harbin China Department of Mechanical Engineering National University of Singapore 117575 Singapore Singapore School of Physics Harbin Institute of Technology 150001 Harbin China School of Materials Science and Engineering Harbin Institute of Technology 150001 Harbin China State Key Laboratory of Advanced Marine Materials Ningbo Institute of Materials Technology and Engineering (NIMTE) Chinese Academy of Sciences 315201 Ningbo China；Center of Materials Science and Optoelectronics Engineering University of Chinese Academy of Sciences 100049 Beijing China

VS2has attracted attention as a prospective electrode material for lithium-ion batteries (LIBs) due to its distinct advantages including high conductivity and large layer spacing. However, the limited electrochemical activity and ionic conductivity restrict its real applications. In this work, sulfur vacancies (Vs) were introduced into VS2via Ar plasma treatment for the first time in order to enhance the electrical conductivity, increase the number of electrochemically active sites, stabilize adsorption sites, and facilitate rapid Li+diffusion. The designed Vs-rich VS2delivers higher reversible capacity and better cycling stability (1137.5 mA h g–1at 0.1 A g–1after 100 cycles, 485.4 mA h g–1at 1 A g–1after 1000 cycles) than those of pristine VS2(395.9 mA h g–1at 0.1 A g–1after 100 cycles, 204.4 mA h g–1at 1 A g–1after 1000 cycles). Moreover, the VS2–x//Li3V2(PO4)3/C full-cells exhibit high capacity and rate performance, holding promise for high-performance energy storage applications. Additionally, the insertion and conversion mechanisms of Vs-rich VS2for Li+storage were elucidated by ex situ X-ray diffraction (XRD) analysis. The density-functional theory (DFT) calculations show that sulfur vacancies favor Li+adsorption on VS2by increasing the number of adsorption sites and improving the adsorption energy. This study offers valuable insights for designing advanced anode materials for LIBs.

关键词： VS2 Ar plasma vacancy adsorption site electrochemical activity LIBs

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The impact of the atmospheric turbulence-development tendency on new particle formation: a common finding on three continents

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national science Review 2021年第3期8卷 140-150页

作者： Hao Wu Zhanqing Li Hanqing Li Kun Luo Yuying Wang Peng Yan Fei Hu Fang Zhang Yele Sun Dongjie Shang Chunsheng Liang Dongmei Zhang Jing Wei Tong Wu Xiaoai Jin Xinxin Fan Maureen Cribb Marc L.Fischer Markku Kulmala Tuukka Pet?j? State Key Laboratory of Remote Sensing Science College of Global Change and Earth System ScienceBeijing Normal University ESSIC and Department of Atmospheric Science University of MarylandCollege Park State Key Laboratory of Clean Energy Utilization Zhejiang University School of Atmospheric Physics Nanjing University of Information Science and Technology Meteorological Observation Center China Meteorological Administration State Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry Institute of Atmospheric Physics Chinese Academy of Sciences State Key Joint Laboratory of Environmental Simulation and Pollution Control College of Environmental Sciences and Engineering Peking University State Key Joint Laboratory of Environment Simulation and Pollution Control School of Environment Tsinghua University Lawrence Berkeley National Laboratory Institute for Atmospheric and Earth System Research/Physics Faculty of ScienceUniversity of Helsinki Aerosol and Haze Laboratory Beijing Advanced Innovation Center for Soft Matter Science and Engineering Beijing University of Chemical Technology Joint International Research Laboratory of Atmospheric and Earth System Sciences School of Atmospheric Sciences Nanjing University

A new mechanism of new particle formation(NPF) is investigated using comprehensive measurements of aerosol physicochemical quantities and meteorological variables made in three continents,including Beijing,China;the Southern Great Plains site in the USA;and SMEAR Ⅱ Station in Hyytiala,Finland.D espite the considerably different emissions of chemical species among the sites,a common relationship was found between the characteristics of NPF and the stability *** stability parameter(ζ=Z/L,where Z is the height above ground and L is the Monin-Obukhov length) is found to play an important role;it drops significantly before NPF as the atmosphere becomes more unstable,which may serve as an indicator of nucleation *** the atmosphere becomes unstable,the NPF duration is closely related to the tendency for turbulence development,which influences the evolution of the condensation ***,the unstable atmosphere may dilute pre-existing particles,effectively reducing the condensation sink,especially at coarse mode to foster *** new mechanism is confirmed by model simulations using a molecular dynamic model that mimics the impact of turbulence development on nucleation by inducing and intensifying homogeneous nucleation events.

关键词： new particle formation turbulence development molecular dynamic

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Ionizable lipid-assisted efficient hepatic delivery of gene editing elements for oncotherapy

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Bioactive Materials 2022年第3期7卷 590-601页

作者： Chunhui Li Tongren Yang Yuhua Weng Mengjie Zhang Deyao Zhao Shuai Guo Bo Hu Wanxuan Shao Xiaoxia Wang Abid Hussain Xing-Jie Liang Yuanyu Huang School of Life Science Advanced Research Institute of Multidisciplinary ScienceInstitute of Engineering MedicineKey Laboratory of Molecular Medicine and BiotherapyBeijing Institute of TechnologyBeijing100081China Department of Radiation Oncology The First Affiliated Hospital of Zhengzhou UniversityErqiZhengzhou450000China Institute of Molecular Medicine College of Future TechnologyPeking UniversityBeijing100871China Chinese Academy of Sciences(CAS)Key Laboratory for Biomedical Effects of Nanomaterials and Nanosafety CAS Center for Excellence in NanoscienceNational Center for Nanoscience and Technology of ChinaBeijing100190China School of Materials and the Environment Beijing Institute of TechnologyZhuhai519085China

CRISPR/Cas9-based gene editing has emerged as a powerful biotechnological tool,that relies on Cas9 protein and single guided RNA(sgRNA)to edit target ***,the lack of safe and efficient delivery carrier is one of the crucial factors restricting its clinical ***,we report an ionizable lipid nanoparticle(iLP181,pKa=6.43)based on iLY1809 lipid enabling robust gene editing in vitro and in *** iLP181 effectively encapsulate psgPLK1,the best-performing plasmid expressing for both Cas9 protein and sgRNA targeting Polo-like kinase 1(PLK1).The iLP181/psgPLK1 nanoformulation showed uniformity in size,regular nanostructure and nearly neutral zeta potential at pH *** nanoformulation effectively triggered editing of PLK1 gene with more than 30%efficiency in HepG2-Luc ***181/psgPLK1 significantly accumulated in the tumor for more than 5 days after a single intravenous *** addition,it also achieved excellent tumor growth suppression compared to other nucleic acid modalities such as siRNA,without inducing adverse effects to the main organs including the liver and *** study not only provides a clinically-applicable lipid nanocarrier for delivering CRISPR/Cas system(even other bioactive molecules),but also constitutes a potential cancer treatment regimen base on DNA editing of oncogenes.

关键词： CRISPR/Cas Gene editing Lipid nanoparticle PLK1 Cancer therapy

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An interpretable (explainable) model based on machine learning and SHAP interpretation technique for mapping wind erosion hazard

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environmental science and Pollution Research 2024年第56期31卷 64628-64643页

作者： Gholami, Hamid Darvishi, Ehsan Moradi, Navazollah Mohammadifar, Aliakbar Song, Yougui Li, Yue Niu, Baicheng Kaskaoutis, Dimitris Pradhan, Biswajeet Department of Natural Resources Engineering University of Hormozgan Hormozgan Bandar-Abbas Iran State Key Laboratory of Loess and Quaternary Geology Institute of Earth Environment Chinese Academy of Sciences 710061 Xi’an China Laoshan Laboratory Qingdao266061 China Academy of Plateau Science and Sustainability Xining810008 China College of Geography Qinghai Normal University Xining810008 China Dunhuang Gobi Desert Research Station Northwest Institute of Eco-Environment and Resources Chinese Academy of Sciences Lanzhou730000 China Department of Chemical Engineering University of Western Macedonia Kozani50100 Greece Centre for Advanced Modelling and Geospatial Information Systems School of Civil and Environmental Engineering University of Technology Sydney Sydney Australia Institute of Climate Change Universiti Kebangsaan Malaysia Bangi Malaysia Collaborative Scientist Institute for Environmental Research and Sustainable Development National Observatory of Athens P. Penteli Athens15236 Greece

Soil erosion by wind poses a significant threat to various regions across the globe, such as drylands in the Middle East and Iran. Wind erosion hazard maps can assist in identifying the regions of highest wind erosion risk and are a valuable tool for the mitigation of its destructive consequences. This study aims to map wind erosion hazards by developing an interpretable (explainable) model based on machine learning (ML) and Shapley additive exPlanation (SHAP) interpretation techniques. Four ML models, namely random forest (RF), support vector machine (SVM), extreme gradient boosting (XGB), and quadratic discriminant analysis (QDA) were used. Thirteen features associated with wind erosion were mapped spatially and then subjected to a multivariate adaptive regression spline (MARS) feature selection algorithm, and then, tolerance coefficient (TC) and variance inflation factor (VIF) statistical tests were used to explore multicollinearity among the variables. MARS analysis shows that eight features consisting of elevation (or DEM), soil bulk density, precipitation, aspect, slope, soil sand content, vegetation cover (or NDVI), and lithology were the most effective for wind erosion, while no collinearity existed among these variables. The ML models were used for ranking the effective features, and the research introduces the application of an interpretable ML model for the interpretation of predictive model’s output. The ranking of effective features by RF—as the most typical ML model—revealed that elevation and soil bulk density were the two most important features. According to the area under the receiver operating characteristic curve (AUROC) (with a value > 90%) and precision-recall (PR) (with a value > 90%) curves, all four ML models performed with great accuracy. According to the PR curve, the SVM model performed slightly better than others, and its results revealed that 20.9%, 23%, and 16.6% of the total area in Hormozgan Province is characterized by moderate, hig

关键词： Support vector machines

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