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Thermostable 1t-Dominant Mos2 Nanosheets Achieved by Spontaneous Intercalation of Cu Single Atoms at Room Temperature and Their Enhanced Overall-Water-Splitting Performance

SSRN

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SSRN 2022年

作者： Li, Mengyao Selvarajan, Premkumar Wang, Shuangyue Wan, Tao Xi, Shibo Wang, Xiaopeng Xue, Junmin Sathish, Clastinrusselraj Indirathankam Liu, Yanpeng Vinu, Ajayan Chu, Dewei Yi, Jiabao School of Materials Science and Engineering University of New South Wales SydneyNSW2052 Australia Global Innovative Centre for Advanced Nanomaterials College of Engineering Science and Environment The University of Newcastle CallaghanNSW2308 Australia Institute of Chemical and Engineering Sciences A*STAR Singapore627833 Singapore Department of Materials Science and Engineering National University of Singapore 7 Engineering Drive 1 Singapore117574 Singapore Key Laboratory for Intelligent Nano Materials and Devices of the Ministry of Education State Key Laboratory of Mechanics and Control of Mechanical Structures Nanjing University of Aeronautics and Astronautics Nanjing210016 China

We report a simple strategy to fabricate Cu single atoms (SAs) anchored on MoS 2 only by stirring Cu metals with MoS 2 nanosheets solution at room temperature. An ultra-high concentration (98 at%) of Cu SAs have been achieved and the intercalated Cu atoms strongly enhance the stability of the thermodynamically unstable 1T-phase dominant MoS 2 . Notably, the 1T-metallic phase after Cu intercalation is stable even at 800 o C, breaking the record to the best of our knowledge. Besides, the as-prepared MoS 2 /SAs exhibit outstanding catalytic performance owing to the improved electrical conductivity and the highly-active unsaturated Cu SAs. This strategy is confirmed as a universal method for producing SAs of other metals and other 2D nanosheets could also be as the host for SAs intercalation other than MoS 2 . The facile and low-cost approach may provide a way for fabricating SAs catalysts at industrial level. © 2022, The Authors. All rights reserved.

关键词： Atoms

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Reconstructing missing NOx emissions in heavy-duty diesel vehicle OBD data: A machine learning approach

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Journal of Hazardous Materials 2025年 494卷 138619页

作者： Cao, Zeping Wang, Yanan Zhao, Xiaoyang Yin, Jiawei Jia, Zhenyu Zhan, Yanjie Liu, Yan Zhang, Qijun Mao, Hongjun Tianjin Key Laboratory of Urban Transport Emission Research & State Environmental Protection Key Laboratory of Urban Ambient Air Particulate Matter Pollution Prevention and Control College of Environmental Science and Engineering Nankai University Tianjin300071 China Tianjin Youmei Environment Technology Ltd Tianjin300380 China

On-Board Diagnostic (OBD) systems enable real-time monitoring of heavy-duty diesel vehicle operations and NOx emissions. However, existing OBD systems have inherent limitations, including systematic missing values. To address this issue, this study develops a data-driven approach. The method utilizes OBD-recorded upstream and downstream NOx emissions data to build machine learning models for reconstructing real-world OBD data. The modeling results indicate that machine learning models perform well in predicting upstream emissions, achieving an R² above 0.9 on the test set. However, its performance in predicting downstream emissions was highly variable, with R² ranging from 0.05 to 0.98, and showed a positive correlation with fuel-based emission factors. A case study was conducted on a selected vehicle. The total NOx emission associated with missing data for this specific vehicle was estimated at 15,741.3 g, whereas the recorded emission from available data was 6157.3 g. Missing data were then imputed for an additional 31 vehicles, revealing that normal emitters showed significantly higher emission associated with missing data. The proposed approach is highly compatible with existing big data platforms and can be easily extended to other vehicles. This will improve the platform's representation of real-world emission, enabling policymakers to implement more targeted pollution mitigation strategies. © 2025 Elsevier B.V.

关键词： Emission control

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Adaptive fractional-order edge-stopping function-based active contour model for image segmentation

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Multimedia Tools and Applications 2025年

作者： Yang, Lijun Zhang, Hongying Li, Xiaoxia School of Information and Control Engineering Southwest University of Science and Technology Mianyang621010 China Robot Technology Used for Special Environment Key Laboratory of Sichuan Province Mianyang621010 China Sichuan Industrial Autonomous and Controllable Artificial Intelligence Engineering Technology Research Center Mianyang621010 China

The active contour model has been a widely used method in image segmentation that remains challenging due to the noise and intensity inhomogeneity. In this paper, an adaptive fractional-order edge-stopping function-based active contour model is proposed. To better preserve the weak texture information in the image, a new adaptive fractional order matrix, defined using the gradient information of the image, is first constructed. Then, a new edge-stopping function based on adaptive fractional differentiation is utilized to improve the robustness of the proposed model to noise. Finally, the energy fitting term based on regional variance can achieve an arbitrary selection of the initial position of the active contour curve. Experimental results on grayscale and natural images in PASCAL VOC2012 demonstrate that this method can effectively segment images with noise and intensity inhomogeneity. Compared to the optimal competitive active contour model WHRSPF, the proposed method shows an average increase of 7.9% and 4.5% in IOU and DSC, respectively. © The Author(s), under exclusive licence to Springer science+Business Media, LLC, part of Springer Nature 2025.

关键词： Image segmentation

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TDCA: Improved Optimization Algorithm with Degree Distribution and Communication Traffic for the Deployment of Software Components Base on AUTOSAR Architecture

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Research Square 2021年

作者： Zhang, Kunpeng Liu, Yanheng Zhang, Jindong Zhang, Guanhua Jin, Jingyi Li, Yunhao Tang, Fengmin College of Computer Science and Technology Jilin University Changchun130012 China Key Laboratory of Symbol Computation and Knowledge Engineering The Ministry of Education Jilin University Changchun China State Key Laboratory of Automobile Simulation and Control Jilin University Changchun China College of Mechanical Engineering Hebei University of Technology Tianjin300132 China China Automotive Technology and Research Center Tianjin300300 China

AUTOSAR (Automotive Open System Architecture), as an open, standardized framework for automotive electronic software development, has gradually become the standard followed by major automotive manufacturers and automotive electronic device suppliers. The electronic software system problem improves the development efficiency and portability of the system by reducing the development cost of automotive electronic software while ensuring the quality of products and services, which is beneficial for subsequent upgrades and updates of the system. In order to improve the reliability of the software component deployment algorithm based on AUTOSAR architecture, we proposed the TDCA algorithm. During the execution of the algorithm, communication volume and communication degree are introduced to improve the accuracy of the deployment plan by optimizing the bus load and ECU balancing. Algorithm comparison experiments show that comparing heuristic and linear optimization algorithms, the TDCA algorithm proposed in this paper has significant advantages in reducing bus load and ECU utilization. The algorithm can reduce the communication between cores and balance ECU load according to the constraints of AUTOSAR architecture. © 2021, CC BY.

关键词： Equalizers

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Zif-Derived Nitrogen-Doped Nanocarbon Boosted Fenton-Like Oxidation: Another Sustainable Path for Fe(Iii)/Fe(Ii) Circulation

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SSRN 2022年

作者： Tian, Dongqi Zhou, Hongyu Zhou, Peng Xiong, Zhaokun He, Chuanshu Du, Ye Pan, Zhicheng Lai, Bo Liu, Yang State Key Laboratory of Hydraulics and Mountain River Engineering College of Architecture and Environment Sichuan University Chengdu610065 China Sino-German Centre for Water and Health Research Sichuan University Chengdu610065 China Water Safety and Water Pollution Control Engineering Technology Research Center in Sichuan Province Haitian Water Group Chengdu610041 China Sichuan University Yibin Park Yibin Institute of Industrial Technology Yibin644044 China Sichuan University China

In this study, microporous nitrogen-doped nanocarbons from the carbonization of ZIF-8 (ZCN) was prepared as an efficient metal-free catalyst to improve sulfamethoxazole (SMX) degradation in Fe(III)/H 2 O 2 process. The SMX degradation ratio was increased from 20% to 100% with the addition of ZCN (50mg/L) in Fe(III)/H 2 O 2 within 20 min. The direct reduction for Fe(III) resulting from carbonyl on ZCN's surface was revealed. Hydroxyl group (·OH) was determined to be the main active substance, and the evolution of different Fe species during the reaction was discussed by monitoring the mass balance of Fe species. We found that part of the iron was bound to the surface of ZCN during the reaction. Additionally, the dissociative Fe was captured by ZCN to form Fe-N x bonds. Surface-bound Fe with a lower energy barrier was more likely to react with H 2 O 2 to generate Fe(II). Our work revealed that in addition to the direct reduction by ZCN, another catalytic reduction pathway for the sustainable conversion of Fe(II) to Fe(III) in the ZCN/Fe(III)/H 2 O 2 process. © 2022, The Authors. All rights reserved.

关键词： Carbon

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Electron Transfer Capacity of Humic Acid in Soil Micro and Macro Aggregates in Response to Mulching Years

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SSRN 2021年

作者： Zhang, Yifan Hui, Kunlong Yuan, Ying Tan, Wenbing College of Environmental Science and Engineering Guilin University of Technology Guilin541006 China State Key Laboratory of Environmental Criteria and Risk Assessment State Environmental Protection Key Laboratory of Simulation and Control of Groundwater Pollution Chinese Research Academy of Environmental Sciences Beijing100012 China School of Environmental and Chemical Engineering Shanghai University Shanghai 200444 China

Plastic film mulching can help farmers meet food production requirements and even increase output. However, it is not clear whether the long-term use of mulching film will affect the electron transfer capacity (ETC) of natural organic matter in the soil. This study evaluated the electron-accepting capacity (EAC) and electron-donating capacity (EDC) of soil humic acid (HA) in different-size aggregates in response to film mulching years. The EAC of HA in the soil showed a downward trend as mulching years increased, while the EDC fluctuated. EAC decline in microaggregates (MIA) was more significant than that of macroaggregates (MAA). Film mulching changes the pH, nitrogen, and metal content of the soil, reduces soil enzyme activity, changes the chemical structure of HA, and ultimately affects HA electron transfer. In addition, compared with that in MAA, the chemical structure of soil HA in MIA has a stronger correlation with enzyme activity and ETC and thus is more significantly affected by mulching. These results provide an in-depth understanding of the role of HA in soil aggregates of different sizes in processes related to the agricultural soil environment under mulching conditions. © 2021, The Authors. All rights reserved.

关键词： Organic acids

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Magnetite-augmented sulfur-siderite autotrophic denitrification: Deep nitrogen removal at ultra-low HRT from lab to pilot scale

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Water Research 2025年 284卷

作者： Jiale Sun Haoyong Li He Dong Lu Liu Chunyv Zhou Ziwen Du Yan Dang Dawn E. Holmes Beijing Key Lab for Source Control Technology of Water Pollution College of Environmental Science and Engineering Beijing Forestry University Beijing 100083 China Hebei Key Laboratory for Emerging Contaminants Control and Risk Management College of Environmental Science and Engineering Beijing Forestry University Beijing 100083 China China Engineering Research Center for Water Pollution Source Control & Eco-remediation College of Environmental Science and Engineering Beijing Forestry University Beijing 100083 China Department of Physical and Biological Sciences Western New England University Springfield MA United States

Persistent eutrophication and increasingly stringent discharge regulations have intensified the demand for advanced nitrogen removal technologies in wastewater treatment. Sulfur-siderite autotrophic denitrification (SSAD) presents a chemical-free, low-carbon alternative to conventional heterotrophic processes. However, its widespread application is hindered by long hydraulic retention times (HRTs) and frequent nitrite (NO 2 – -N) accumulation. To address these limitations, this study developed a sulfur-siderite-magnetite autotrophic denitrification (SSMAD) system by integrating magnetite into SSAD fillers. Both lab- and pilot-scale experiments confirmed that SSMAD significantly outperformed SSAD in terms of denitrification capacity and stability. The SSMAD system maintained robust performance at HRTs under 3 h, whereas the SSAD reactor exhibited negligible nitrate removal. In pilot-scale SSMAD reactors treating secondary effluent, total nitrogen in the effluent remained below 11.5 and 12.3 mg/L at ultra-low HRTs of 20 and 15 min, respectively. At a 30-minute hydraulic retention times (HRT), the SSMAD system achieved a denitrification load of 0.95 kgN/(m 3 ·d), exceeding those of SSAD and sulfur autotrophic denitrification (SAD) systems by factors of 1.6 and 4.4, respectively. Sulfur served as the primary electron donor, while Fe 2+ released from siderite provided an additional source of electrons. The microbial community in both SSAD and SSMAD systems was enriched with Thiobacillus and Sulfurimonas , which couple sulfur and iron oxidation with nitrate reduction. Magnetite additions enhanced both sulfur- and iron- driven denitrification and increased the abundance of these key genera. Metatranscriptomic analysis indicated that magnetite facilitated interspecies electron transfer (IET) via sulfur intermediates produced by Sulfurimonas and utilized by Thiobacillus . Additionally, extracellular electron transfer (EET) by Thiobacillus was promoted, evidenced by up-regula

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Identification of an H1N1 subtype of swine influenza virus and serological analysis

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Journal of Integrative Agriculture 2019年第7期18卷 1436-1442页

作者： SUN Fa-chao TAN Min ZHANG Yuan-chao WANG Yu-chao CAO Sheng-liang DING Guo-fei CONG Fang-yuan GUO Li-hong LIU Si-dang XIAO Yi-hong Department of Basic Veterinary Medicine College of Animal Science and Veterinary Medicine/Shandong Provincial Key Laboratory of Animal Biotechnology and Disease Control and Prevention/Shandong Provincial Engineering Technology Research Center of Animal Disease Control and PreventionShandong Agricultural University

To investigate the epizootic of swine influenza virus(SIV),60 nasal swabs were collected from a clinical cases of pig farm in Tai’an City,Shandong Province of China in April *** was isolated by inoculating into 10-day-old Special Pathogen Free embryonated eggs and the whole genome was *** H1N1 subtype SIV was isolated and designated as A/swine/Shandong/TA04/2017(H1N1).Phylogenetic analysis showed that apart from the polymerase A(PA) fragment belonging to the 2009 pandemic H1N1 branch,seven genome segments belonged to avian-like H1N1 influenza virus *** cleavage site sequence of the hemagglutinin(HA) protein was PSIQSR↓G,which is a typical molecular biological *** potential N-glycosylation sites(N14,N26,N277,N484 and N543) were found in the HA *** further investigate the epidemiology of SIV in this farm,the 995 serum samples were assessed with EAH1N1 2009 pandemic H1N1 and H3 N2 *** results showed that the total positive rate was 65.43%.The positive rates of single virus infection detected by EAH1N1,2009 pdmH1N1 and H3 N2 for serum HI(Hemagglutination inhibition) were 48.35,30.85 and 7.47%,*** results showed that SIV in Shandong Province has been reassorted in some segments and the SIV-positive rate was high on the SIV outbreak *** data provide evidence of an epizootic of SIV.

关键词： SIV H1N1 subtype genetic analysis molecular feature serology

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Synthesis of Single-Atom Ag-Loaded Carbon Nitride Photocatalysts for Efficient Degradation of Acetaminophen by Thermal Polymerization

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SSRN 2022年

作者： Yuan, Yi Wang, Wen-Long Wang, Zhi-Wei Wang, Jin Wu, Qian-Yuan Key Laboratory of Microorganism Application and Risk Control of Shenzhen Guangdong Provincial Engineering Research Center for Urban Water Recycling and Environmental Safety Institute of Environment and Ecology Tsinghua Shenzhen International Graduate School Tsinghua University Shenzhen518055 China Shenzhen Environmental Science and New Energy Technology Engineering Laboratory Tsinghua-Berkeley Shenzhen Institute Shenzhen518055 China College of Materials Science and Engineering Shenzhen University Shenzhen518071 China

Carbon nitride has been extensively used as a visible-light photocatalyst, but it has the disadvantages of a low specific surface area, rapid electron–hole recombination, and relatively low light absorbance. In this study, single-atom Ag was successfully anchored on ultrathin carbon nitride (AgUTCN) via thermal polymerization. The Ag hardly changed the layered and porous physical structure of the carbon nitride. The level of acetaminophen (paracetamol, APAP) degradation achieved with AgUTCN was 1.42 times that obtained with UTCN. AgUTCN exhibited efficient visible-light photocatalytic performances in the degradation of various recalcitrant pollutants;eliminations of 85% were achieved by visible-light irradiation for 1 h. Doping with Ag improved the photocatalytic performance of UTCN by narrowing the forbidden band gap from 2.49 to 2.36 eV and suppressing electron–hole pair recombination. In addition, Ag doping clearly facilitated O2 adsorption on UTCN by decreasing the adsorption energy from −0.2 to −2.22 eV, and favored the formation of O2•−. Electron spin resonance and radical-quenching experiments showed that O2•− was the major reactive species in APAP degradation. © 2022, The Authors. All rights reserved.

关键词： Carbon nitride

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Nonreciprocal Enhancement of Remote Entanglement between Nonidentical Mechanical Oscillators

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Physical Review Applied 2022年第6期18卷 064008-064008页

作者： Ya-Feng Jiao Jing-Xue Liu Ying Li Ronghua Yang Le-Man Kuang Hui Jing Key Laboratory of Low-Dimensional Quantum Structures and Quantum Control of Ministry of Education Department of Physics and Synergetic Innovation Center for Quantum Effects and Applications Hunan Normal University Changsha 410081 China Laboratory of Chemical Biology & Traditional Chinese Medicine Research Ministry of Education College of Chemistry and Chemical Engineering Hunan Normal University Changsha 410081 China Synergetic Innovation Academy for Quantum Science and Technology Zhengzhou University of Light Industry Zhengzhou 450002 China

Entanglement between distant massive mechanical oscillators is of particular interest in quantum-enabled devices due to its potential applications in distributed quantum information processing. Here we propose how to achieve nonreciprocal remote entanglement between two spatially separated mechanical oscillators within a cascaded optomechanical configuration, where the two optomechanical resonators are indirectly coupled through a telecommunication fiber. We show that by selectively spinning the optomechanical resonators, one can break the time-reversal symmetry of this compound system via the Sagnac effect, and more excitingly, enhance the indirect couplings between the mechanical oscillators via the individual optimizations of light-motion interaction in each optomechanical resonator. This ability allows us to generate and manipulate nonreciprocal entanglement between distant mechanical oscillators, that is, entanglement can be achieved only through driving the system from one specific input direction but not the other. Moreover, in the case of two frequency-mismatched mechanical oscillators, it is also found that the degree of the generated nonreciprocal entanglement is counterintuitively enhanced in comparison with its reciprocal counterparts, which are otherwise unattainable in static cascaded systems with a single-tone driving laser. Our work, which is well within the feasibility of current experimental capabilities, provides an enticing opportunity to explore the nonclassical correlations between distant massive objects and facilitates a variety of emerging quantum technologies ranging from quantum information processing to quantum sensing.

关键词： Optomechanics Quantum entanglement Quantum fluctuations & noise Quantum optics Quantum state engineering

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