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Deciphering urban traffic impacts on air quality by deep learning and emission inventory

Journal of Environmental sciences 2023年第2期124卷 745-757页

作者： Wenjie Du Lianliang Chen Haoran Wang Ziyang Shan Zhengyang Zhou Wenwei Li Yang Wang School of Software Engineering University of Science and Technology of ChinaHefei 230026China Suzhou Institute for Advanced Research University of Science and Technology of ChinaSuzhou 215123China Alibaba Inc. Hangzhou 310052China School of Computer Science and Technology University of Science and Technology of ChinaHefei 230026China CAS Key Laboratory of Urban Pollutant Conversion Department of environmental science and EngineeringUniversity of Science and Technology of ChinaHefei 230026China USTC-CityU Joint Advanced Research Center Suzhou 215123China

Air pollution is a major obstacle to future sustainability,and traffic pollution has become a large drag on the sustainable developments of future ***,combined with the large volume of real-time monitoring data,we propose a deep learning model,iDeepAir,to predict surface-level PM2.5 concentration in Shanghai megacity and link with MEIC emission inventory creatively to decipher urban traffic impacts on air *** model exhibits high-fidelity in reproducing pollutant concentrations and reduces the MAE from 25.355μg/m^(3) to 12.283μg/m^(3) compared with other *** identifies the ranking of major factors,local meteorological conditions have become a nonnegligible ***-wise relevance propagation(LRP)is used here to enhance the interpretability of the model and we visualize and analyze the reasons for the different correlation between traffic density and PM_(2.5) concentration in various regions of ***,As the strict and effective industrial emission reduction measurements implementing in China,the contribution of urban traffic to PM_(2.5) formation calculated by combining MEIC emission inventory and LRP is gradually increasing from 18.03%in 2011 to 24.37% in 2017 in Shanghai,and the impact of traffic emissions would be ever-prominent in 2030 according to our *** also infer that the promotion of vehicular electrification would achieve further alleviation of PM_(2.5) about 8.45% by 2030 *** insights are of great significance to provide the decision-making basis for accurate and high-efficient traffic management and urban pollution control,and eventually benefit people’s lives and high-quality sustainable developments of cities.

关键词： PM_(2.5)concentration forecast Traffic emissions Deep learning Attention mechanism New energy vehicles

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High-strength and thermally stable TiB_(2)-modified Al-Mn-Mg-Er-Zr alloy fabricated via selective laser melting

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International Journal of Minerals,Metallurgy and Materials 2024年第10期31卷 2221-2232页

作者： Jiang Yu Yaoxiang Geng Yongkang Chen Xiao Wang Zhijie Zhang Hao Tang Junhua Xu Hongbo Ju Dongpeng Wang School of Materials Science and Engineering Jiangsu University of Science and TechnologyZhenjiang 212003China Beijing Advanced Innovation Center for Materials Genome Engineering Institute for Advanced Materials and TechnologyUniversity of Science and Technology BeijingBeijing 100083China National Engineering Research Center of Near-Net Shape Forming for Metallic Materials Guangdong Provincial Key Laboratory for Processing and Forming of Advanced Metallic MaterialsSouth China University of TechnologyGuangzhou 510640China CEMMPRE-Centre for Mechanical Engineering Materials and Processes Department of Mechanical EngineeringUniversity of CoimbraRua Luís Reis SantosCoimbra 3030-788Portugal

To increase the processability and plasticity of the selective laser melting(SLM)fabricated Al-Mn-Mg-Er-Zr alloys,a novel TiB_(2)-modified Al-Mn-Mg-Er-Zr alloy with a mixture of Al-Mn-Mg-Er-Zr and nano-TiB_(2) powders was fabricated by *** pro-cessability,microstructure,and mechanical properties of the alloy were systematically investigated by density measurement,microstruc-ture characterization,and mechanical properties *** alloys fabricated at 250 W displayed higher relative densities due to a uni-formly smooth top surface and appropriate laser energy *** maximum relative density value of the alloy reached(99.7±0.1)%,demonstrating good *** alloy exhibited a duplex grain microstructure consisting of columnar regions primarily and equiaxed regions with TiB_(2),Al6Mn,and Al3Er phases distributed along the grain *** directly aging treatment at a high tem-perature of 400℃,the strength of the SLM-fabricated TiB_(2)/Al-Mn-Mg-Er-Zr alloy increased due to the precipitation of the secondary Al6Mn *** maximum yield strength and ultimate tensile strength of the aging alloy were measured to be(374±1)and(512±13)MPa,*** SLM-fabricated TiB_(2)/Al-Mn-Mg-Er-Zr alloy demonstrates exceptional strength and thermal stability due to the synergistic effects of the inhibition of grain growth,the incorporation of TiB_(2) nanoparticles,and the precipitation of secondary Al6Mn nanoparticles.

关键词： selective laser melting aluminum alloy processability mechanical properties thermal stability

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Enhancing visible light photocatalytic activity of holmium doped g-C3N4 and DFT theoretical insights

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Environmental science and Pollution research 2024年第32期31卷 44828-44847页

作者： Yavuz, Adem Aydin, Didem Disli, Besime Ozturk, Teoman Gul, Berna Gubbuk, Ilkay Hilal Ersoz, Mustafa Center for Materials Research Integrated Research Centers Izmir Institute of Technology Izmir Urla35430 Turkey Department of Chemistry Faculty of Science Selcuk University Konya42130 Turkey Department of Physics Faculty of Science Selcuk University Konya42130 Turkey Advanced Technology Research and Application Center Selcuk University Konya42130 Turkey

In the search of novel photocatalysts to increase the effect of visible light in photocatalysis, g-C3N4 (CN) has become a shining star. Rare earth metals have been used as dopant material to reinforce the photocatalytic activity of CN due to their unique electron configuration recently. In this present study, the pure and different amounts of Ho-doped g-C3N4 (HoCN) photocatalysts were successfully synthesized using urea as a precursor by the one-pot method. Morphological, structural, optical, and vibrational properties of the synthesized photocatalysts were characterized by SEM, EDX, XRD, TGA, XPS, FTIR, PL, TRPL, Raman, DRS, and BET analyses. In addition, theoretical calculations using density functional theory (DFT) were meticulously carried out to delve the changes in the structural and electronic structure of CN with holmium doping. According to calculations, the chemical potential, electrophilicity, and chemical softness are higher for HoCN, while HOMO–LUMO gap, dipole moment, and the chemical hardness are lower for the pure one. Thus, holmium doping becomes desirable with low chemical hardness which indicates more effectivity and smaller HOMO–LUMO gap designate high chemical reactivity. To determine the photocatalytic efficiency of the pure and doped CN photocatalysts, the degradation of methylene blue (MB) was monitored under visible light. The results indicate that holmium doping has improved the photocatalytic activities of CN samples. Most strikingly, this improvement is noticeable for the 0.2 mmol doped CN sample that showed two times better photocatalytic activity than the pure one. © The Author(s) 2024.

关键词： Photocatalytic activity

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An experimental study of noise generated by tandem blades

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Chinese Journal of Aeronautics 2025年第2期38卷 143-160页

作者： Xiaolong TANG Fan TONG Chao WANG Jue DING Guangming LI Xiaoquan YANG Shanghai Institute of Applied Mathematics and Mechanics Shanghai Frontier Science Center of MechanoinformaticsShanghai Key Laboratory of Mechanics in Energy EngineeringSchool of Mechanics and Engineering ScienceShanghai UniversityShanghai 200072China Key Laboratory of Aerodynamic Noise Control China Aerodynamics Research and Development CenterMianyang 621000China Equipment Design and Testing Technology Research Institute China Aerodynamics Research and Development CenterMianyang 621000China

To facilitate the low-noise design of tandem lift bodies as applied in aeroengines and aircraft,the acoustic features of tandem blades are investigated by wind-tunnel *** is further specialized for the rotating blades applied in contra-rotating open rotors under the concept of frozen-rotor.A 70-channel phased microphone array and nine high-precision free-field microphones are *** beamforming method,enhanced by a source filtering technique,is employed to locate noise sources,providing insights into the source patterns of blade-blade interaction noise concerning flow speed,blade spacing,and aft blade *** results show the following:(A)Sources of tandem-blade noise exist in the form of concentrated source clusters,resulting in two major clusters:the mid-span interaction noise and the tip-induced noise.(B)These source clusters tend to separate as flow speed or blade spacing increases.(C)By increasing blade spacing,the band-pass filtered overall sound pressure level is reduced by 2.9 dB.(D)A two-phase noise suppression pattern is observed with blade clipping,resulting in a total reduction of 3.0 dB for the interaction noise through the removal of tip-induced noise sources and the replacement of mid-span noise *** on these findings,suggestions concerning blade spacing and clipping are discussed.

关键词： Tandem blades Contra-rotating open rotor Noise Beamforming Blade spacing and clipping Wind tunnel test

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Controlling electrodeposited Ni layers by different-sized graphene oxides enables conductive e-textiles for the highly sensitive electrochemical detection of glucose

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Nano research 2024年第7期17卷 6258-6264页

作者： Zhen Li Zibo Chen Xiaodong Ji Huihui Jin Yunfa Si Jingwei Zhang Cheng Chen Daping He Sanya Science and Education Innovation Park of Wuhan University of Technology Sanya 572000China School of Science Wuhan University of TechnologyWuhan 430070China State Key Laboratory of Advanced Technology for Materials Synthesis and Processing Wuhan University of TechnologyWuhan 430070China Hubei Engineering Research Center of RF-Microwave Technology and Application Wuhan University of TechnologyWuhan 430070China

With the increasing popularity of wearable electronic devices,there is an urgent demand to develop electronic textiles(e-textiles)for device ***,the difficulty in reconciliation between conductivity and manufacturing costs hinders their large-scale practical ***,we reported a facile and economic method for preparing conductive ***,nonconductive polypropylene(PP)was wrapped by reduced graphene oxide(rGO),followed by the electrodeposition of Ni nanoparticles(NPs).Notably,modulating the sheet size of graphene oxide(GO)resulted in controllable deposition of Ni NPs with adjustable size,allowing for controlled manipulations over the structures,morphologies,and conductivity of the obtained e-textiles,which influenced their performance in electrochemical glucose detection *** optimal material,denoted as Ni/rGO+(0.2)/PP,exhibited an impressive conductivity of 7.94×10^(4)S·m^(−1).With regard to the excellent conductivity of the as-prepared e-textiles and the high electrocatalytic activity of Ni for glucose oxidation,the asprepared e-textiles were subjected to glucose *** was worth emphasizing that the Ni/rGO_(0.2)/PP-based electrode demonstrated promising performance for nonenzymatic/label-free glucose detection,with a detection limit of 0.36μM and a linear response range of 0.5μM to 1 *** study paves the way for further development and application prospects of conductive etextiles.

关键词： conductive e-textiles nonenzymatic/label-free glucose detection controllable Ni deposition graphene oxides sizedependent effect

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Unraveling the chemical and structural evolution of novel Li-rich layered/rocksalt intergrown cathode for Li-ion batteries

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Chinese Chemical Letters 2024年第12期35卷 289-293页

作者： Yongjian Li Xinyu Zhu Chenxi Wei Youyou Fang Xinyu Wang Yizhi Zhai Wenlong Kang Lai Chen Duanyun Cao Meng Wang Yun Lu Qing Huang Yuefeng Su Hong Yuan Ning Li Feng Wu School of Materials Science and Engineering Beijing Key Laboratory of Environmental Science and EngineeringBeijing Institute of TechnologyBeijing 100081China Chongqing Innovation Center Beijing Institute of TechnologyChongqing 401120China Center for Transformative Science ShanghaiTech UniversityShanghai 201210China Advanced Research Institute of Multidisciplinary Science Beijing Institute of TechnologyBeijing 100081China

The prototype material,Li_(1.23)Ru_(0.41)Ni_(0.36)O_(2),is proposed to gain the deep and comprehensive understanding of chemical and structural changes of the novel layered/rocksalt intergrown *** X-ray absorption spectra and resonant inelastic X-ray scattering reveal that both cationic and anionic redox evolves in the charge compensation process of the intergrown material,while synchrotronbased extended X-ray fine structure spectra and in situ X-ray diffraction measurements demonstrates that the intergrown material undergoes minimal local-and long-range structural variations at deep de/*** work highlights the great potential of the intergrown structure to inspire the design of advanced cathode materials for lithium-ion batteries.

关键词： Cathode materials Intergrown structure Cationic-anionic redox Low strain Synchrotron characterizations

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Source identification and prediction of nitrogen and phosphorus pollution of Lake Taihu by an ensemble machine learning technique

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Frontiers of Environmental science & Engineering 2023年第5期17卷 27-40页

作者： Yirong Hu Wenjie Du Cheng Yang Yang Wang Tianyin Huang Xiaoyi Xu Wenwei Li CAS Key Laboratory of Urban Pollutant Conversion Department of Environmental Science and EngineeringUniversity of Science and Technology of ChinaHefei 230026China School of Software Engineering University of Science and Technology of ChinaHefei 230026China USTC-CityU Joint Advanced Research Center Suzhou Institute for Advanced Research of USTCSuzhou 215123China National and Local Joint Engineering Laboratory for Municipal Sewage Resource Utilization Technology Suzhou University of Science and TechnologySuzhou 215009China

Effective control of lake eutrophication necessitates a full understanding of the complicated nitrogen and phosphorus pollution sources,for which mathematical modeling is commonly *** contrast to the conventional knowledge-based models that usually perform poorly due to insufficient knowledge of pollutant geochemical cycling,we employed an ensemble machine learning(ML)model to identify the key nitrogen and phosphorus sources of *** ML models were developed based on 13 years of historical data of Lake Taihu’s water quality,environmental input,and meteorological conditions,among which the XGBoost model stood out as the best model for total nitrogen(TN)and total phosphorus(TP)*** results suggest that the lake TN is mainly affected by the endogenous load and inflow river water quality,while the lake TP is predominantly from endogenous *** prediction of the lake TN and TP concentration changes in response to these key feature variations suggests that endogenous source control is a highly desirable option for lake eutrophication ***,one-month-ahead prediction of lake TN and TP concentrations(R2 of 0.85 and 0.95,respectively)was achieved based on this model with sliding time window lengths of 9 and 6 months,*** work demonstrates the great potential of using ensemble ML models for lake pollution source tracking and prediction,which may provide valuable references for early warning and rational control of lake eutrophication.

关键词： Eutrophication Machine learning Water quality Nutrients Prediction

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DEVELOPMENT AND CHARACTERIZATION OF SODIUM ALGINATE-ZnO NANOPARTICLE REINFORCED COMPOSITES FOR BIOMEDICAL APPLICATIONS

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UPB Scientific Bulletin, Series B: Chemistry and Materials science 2024年第3期86卷 157-168页

作者： Doicin, Irina Elena Neacsu, Ionela Andreea Ene, Vladimir Lucian Birca, Alexandra Catalina Andronescu, Ecaterina Department of Science and Engineering of Oxide Materials and Nanomaterials Faculty of Chemical Engineering and Biotechnologies National University of Science and Technology POLITEHNICA Bucharest Romania Center for Advanced Research on New Materials Products and Innovative Processes—CAMPUS Research Institute National University of Science and Technology POLITEHNICA Bucharest Romania

The field of pharmaceutical science is witnessing a surge in interest in developing controlled-release dosage forms to optimize therapeutic outcomes. Biodegradable polymers like chitosan, sodium alginate, and starch offer significant advantages due to their biocompatibility and ability to form diverse drug delivery systems. Alginate, derived from brown seaweed or bacterial sources, is particularly promising for its antimicrobial properties. This study aims to evaluate the characteristics of a porous composite material comprising alginate (Alg) as a matrix and microwave-assisted hydrothermal synthesized zinc oxide nanoparticles (ZnO NPs) as a reinforcing agent. Leveraging the distinctive properties of both alginate and ZnO NPs, this research seeks to develop a material with prospective antimicrobial efficacy and reduced cytotoxicity, potentially applicable in biomedical fields, particularly for advanced wound dressing solutions. The innovation in this study also stems from incorporating salicylic acid (SA) into the proposed Alg-ZnO wound dressings, addressing critical aspects such as infection control, inflammation reduction, and tissue regeneration promotion. The obtained materials were characterized morphologically and spectroscopically, as well as tested to establish cytotoxicity and biocompatibility. Thus, SEM/EDS and FTIR analysis indicated a good structural integrity and high functional performance of the composites. XTT and LDH assays indicated high cellular viability and a minimal cell membrane damage, which recommends them for biomedical applications. © 2024, Politechnica University of Bucharest. All rights reserved.

关键词： Salicylic acid

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Superconductivity of metastable dihydrides at ambient pressure

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npj Computational Materials 2024年第1期10卷 1450-1455页

作者： Heejung Kim Ina Park J.H.Shim D.Y.Kim Department of MPPHC-CPM Max Plank POSTECH/Korea Research InitiativePohang37673Korea Center for Theoretical Physics Seoul National University Seoul08826Korea Department of Chemistry POSTECHPohang37673Korea Center for High Pressure Science and Technology Advanced Research Shanghai201203China Division of Advanced Nuclear Engineering POSTECHPohang37673Korea

Hydrogen in metals is a significant research area with far-reaching implications,encompassing diverse fields such as hydrogen storage,metal-insulator transitions,and the recently emerging phenomenon of room-temperature superconductivity under high *** atoms pose challenges in experiments as they are nearly invisible,and they are considered within ideal crystalline structures in theoretical predictions,which hampers research on the formation of metastable hydrides.

关键词： hydrides metastable crystalline

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RAMANUJAN’S TAU FUNCTION AS SUMS OVER PARTITIONS

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UPB Scientific Bulletin, Series A: applied Mathematics and Physics 2024年第3期86卷 69-80页

作者： Goran-Dumitru, Andreea Merca, Mircea Doctoral School of Applied Sciences National University of Science and Technology Politehnica Bucharest BucharestRO-060042 Romania Department of Mathematical Methods and Models Fundamental Sciences Applied in Engineering Research Center National University of Science and Technology Politehnica Bucharest BucharestRO-060042 Romania

Ramanujan’s tau function arises as the coefficient of qn in the q-expansion of the Dedekind eta function, which is a modular form of weight 1/2. This con-nection to modular forms gives the Ramanujan tau function many interesting properties and relationships with various areas of mathematics, including number theory, combinatorics, and algebraic geometry. This paper presents a collection of decompositions of the Ramanujan tau function expressed as sums over partitions. © 2024, Politechnica University of Bucharest. All rights reserved.

关键词： Number theory

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