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Spectroscopic characterization and photochemistry of the Criegee intermediate CF_(3)C(H)OO

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Journal of Environmental Sciences 2022年第4期34卷 160-169页

作者： Lina Wang Zhuang Wu Bo Lu Xiaoqing Zeng Department of Chemistry Shanghai Key Laboratory of Molecular Catalysts and Innovative MaterialsFudan UniversityShanghai 200433China

Criegee intermediates(CIs),also known as carbonyl oxide,are reactive intermediates that play an important role in the atmospheric chemistry.Investigation on the structures and reactivity of CIs is of fundamental importance in understanding the underlying mechanism of their atmospheric reactions.In sharp contrast to the intensively studied parent molecule(CH_(2)OO)and the alkyl-substituted derivatives,the knowledge about the fluorinated analogue CF_(3)C(H)OO is scarce.By carefully heating the triplet carbene CF_(3)CH in an O2-doped Ar-matrix to 35 K,the elusive carbonyl oxide CF_(3)C(H)OO in syn-and anti-conformations has been generated and characterized with infrared(IR)and ultraviolet-visible(UV-vis)spectroscopy.The spectroscopic identification is supported by^(18)O-labeling experiments and quantum chemical calculations at the B3 LYP/6-311++G(3df,3pd)and MP2/6-311++G(2d,2p)levels.Upon the long-wavelength irradiation(λ>680 nm),both conformers of CF_(3)C(H)OO decompose to give trifluoroacetaldehyde CF_(3)C(H)O and simultaneously rearrange to the isomeric dioxirane,cyclic-CF_(3)CH(OO),which undergoes isomerization to the lowest-energy carboxylic acid CF_(3)C(O)OH upon UV-light excitation at 365 nm.The O_(2)-oxidation of CF_(3)CH via the intermediacy of CF_(3)C(H)OO and cyclic-CF_(3)CH(OO)might provide new insight into the mechanism for the degradation of hydro-chlorofluorocarbon CF_(3)CHCl_(2)(HCFC-123)in the atmosphere.

关键词： Criegee intermediates CF_(3)COOH(TFA) CF_(3)CHCl_(2)(HCFC-123) Photochemistry Matrix-isolation spectroscopy

LEGENDRE-GAUSS-RADAU SPECTRAL COLLOCATION METHOD FOR NONLINEAR SECOND-ORDER INITIAL VALUE PROBLEMS WITH APPLICATIONS TO WAVE EQUATIONS

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Journal of Computational Mathematics 2024年第1期42卷 217-247页

作者： Lina Wang Qian Tong Lijun Yi Mingzhu Zhang Department of Mathematics Shanghai Normal UniversityShanghai 200234China School of Science Henan University of EngineeringZhengzhou 451191China

We propose and analyze a single-interval Legendre-Gauss-Radau(LGR)spectral collocation method for nonlinear second-order initial value problems of ordinary differential equations.We design an efficient iterative algorithm and prove spectral convergence for the single-interval LGR collocation method.For more effective implementation,we propose a multi-interval LGR spectral collocation scheme,which provides us great flexibility with respect to the local time steps and local approximation degrees.Moreover,we combine the multi-interval LGR collocation method in time with the Legendre-Gauss-Lobatto collocation method in space to obtain a space-time spectral collocation approximation for nonlinear second-order evolution equations.Numerical results show that the proposed methods have high accuracy and excellent long-time stability.Numerical comparison between our methods and several commonly used methods are also provided.

关键词： Legendre-Gauss-Radau collocation method Second-order initial value problem Spectral convergence Wave equation

Bimetallic nanoparticles as cascade sensitizing amplifiers for low-dose and robust cancer radio-immunotherapy

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Acta Pharmaceutica Sinica B 2024年第4期14卷 1787-1800页

作者： Yupeng wang Lina Wang Tao Li Min Ouyang Hejian Xiong Dongfang Zhou Department of Ultrasonic Diagnosis Zhujiang HospitalKey Laboratory of Mental Health of the Ministry of EducationNMPA Key Laboratory for Research and Evaluation of Drug Metabolism&Guangdong Provincial Key Laboratory of New Drug ScreeningSchool of Pharmaceutical SciencesSouthern Medical UniversityGuangzhou 510515China Testing and Analysis Center Hebei Normal UniversityShijiazhuang 050024China Department of Mechanical Engineering The University of Texas at DallasRichardsonTX 75080USA

Radiotherapy(RT)is one of the most feasible and routinely used therapeutic modalities for treating malignant tumors.In particular,immune responses triggered by RT,known as radio-immunotherapy,can partially inhibit the growth of distantly spreading tumors and recurrent tumors.How-ever,the safety and efficacy of radio-immunotherapy is impeded by the radio-resistance and poor immu-nogenicity of tumor.Herein,we report oxaliplatin(IV)-iron bimetallic nanoparticles(OXA/Fe NPs)as cascade sensitizing amplifiers for low-dose and robust radio-immunotherapy.The OXA/Fe NPs exhibit tumor-specific accumulation and activation of OXA(I)and Fe^(2+)in response to the reductive and acidic microenvironment within tumor cells.The cascade reactions of the released metallic drugs can sensitize RT by inducing DNA damage,increasing ROS and O_(2) levels,and amplifying the immunogenic cell death(ICD)effect after RT to facilitate potent immune activation.As a result,OXA/Fe NPs-based low-dose RT triggered a robust immune response and inhibited the distant and metastatic tumors effectively by a strong abscopal effect.Moreover,a long-term immunological memory effect to protect mice from tumor rechal-lenging is observed.Overall,the bimetallic NPs-based cascade sensitizing amplifier system offers an effi-cient radio-immunotherapy regimen that addresses the key challenges.

关键词： Bimetallic nanoparticles Radio-immunotherapy Cascade sensitizing amplifier,Oxaliplatin Fenton-typeHaber-Weiss reaction Radiosensitization Immunogenic cell death Radio-resistance

Improved encoding structure and decoding algorithms for spinal codes

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Journal of Systems Engineering and Electronics 2022年第4期33卷 856-866页

作者： HUANG Wensha wang lina School of Computer and Communication Engineering University of Science and Technology BeijingBeijing 100083China Shunde Graduate School University of Science and Technology BeijingBeijing 100083China

To improve the error correction performance, an innovative encoding structure with tail-biting for spinal codes is designed. Furthermore, an adaptive forward stack decoding(A-FSD) algorithm with lower complexity for spinal codes is proposed. In the A-FSD algorithm, a flexible threshold parameter is set by a variable channel state to narrow the scale of nodes accessed. On this basis, a new decoding method of AFSD with early termination(AFSD-ET) is further proposed. The AFSD-ET decoder not only has the ability of dynamically modifying the number of stored nodes, but also adopts the early termination criterion to curtail complexity. The complexity and related parameters are verified through a series of simulations. The simulation results show that the proposed spinal codes with tail-biting and the AFSD-ET decoding algorithms can reduce the complexity and improve the decoding rate without sacrificing correct decoding performance.

关键词： spinal code tail-biting encoding lower decoding complexity early termination strategy

Macrophages in leukemia microenvironment

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Blood Science 2019年第1期1卷 29-33页

作者： Lina Wang Guoguang Zheng State Key Laboratory of Experimental Hematology National Clinical Research Center for Blood DiseasesInstitute of Hematology and Blood Diseases HospitalChinese Academy of Medical Sciences and Peking Union Medical CollegeTianjinChina

Macrophages,the important component of tissue microenvironment,play important roles in both physiological and pathological processes,including tumor and leukemia.Tumor-associated macrophages are involved in tumor proliferation,angiogenesis,invasion,metastasis,and chemotherapy resistance.In leukemia,macrophages are educated by leukemia microenvironment to obtain specific activated phenotype and participate in leukemia progression.Recent studies have shown that accumulation of macrophages in leukemia patients or mouse model is correlated with poor prognosis.Hence,increasing attentions have been paid to study the characteristics of them and to develop novel therapeutic strategies targeting macrophages against leukemia.In this article,we summarize recent development of macrophages in leukemia microenvironment.

关键词： Heterogeneity Leukemia microenvironment Leukemia-associated macrophages(LAMs) Macrophages Targeting therapy

MSWNet:A visual deep machine learning method adopting transfer learning based upon ResNet 50 for municipal solid waste sorting

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Frontiers of Environmental Science & Engineering 2023年第6期17卷 165-176页

作者： Kunsen Lin Youcai Zhao Lina Wang Wenjie Shi Feifei Cui Tao Zhou The State Key Laboratory of Pollution Control and Resource Reuse College of Environmental Science and EngineeringTongji UniversityShanghai 200092China Shanghai Institute of Pollution Control and Ecological Security Shanghai 200092China Shanghai Key Laboratory of Atmospheric Particle Pollution and Prevention(LAP3) Department of Environmental Science and EngineeringFudan UniversityShanghai 200433China Institute of Eco-Chongming(IEC) Shanghai 202150China Institute of Fundamental and Frontier Sciences University of Electronic Science and Technology of ChinaChengdu 610054China

An intelligent and efficient methodology is needed owning to the continuous increase of global municipal solid waste(MSW).This is because the common methods of manual and semi-mechanical screenings not only consume large amount of manpower and material resources but also accelerate virus community transmission.As the categories of MSW are diverse considering their compositions,chemical reactions,and processing procedures,etc.,resulting in low efficiencies in MSW sorting using the traditional methods.Deep machine learning can help MSW sorting becoming into a smarter and more efficient mode.This study for the first time applied MSWNet in MSW sorting,a ResNet-50 with transfer learning.The method of cyclical learning rate was taken to avoid blind finding,and tests were repeated until accidentally encountering a good value.Measures of visualization were also considered to make the MSWNet model more transparent and accountable.Results showed transfer learning enhanced the efficiency of training time(from 741 s to 598.5 s),and improved the accuracy of recognition performance(from 88.50%to 93.50%);MSWNet showed a better performance in MSW classsification in terms of sensitivity(93.50%),precision(93.40%),F1-score(93.40%),accuracy(93.50%)and AUC(92.00%).The findings of this study can be taken as a reference for building the model MSW classification by deep learning,quantifying a suitable learning rate,and changing the data from high dimensions to two dimensions.

关键词： Municipal solid waste sorting Deep residual network Transfer learning Cyclic learning rate Visualization

Study of All-Optical Sampling Using a Semiconductor Optical Amplifier

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Photonic Sensors 2017年第1期7卷 37-43页

作者： Chen WU Yongjun wang Lina Wang Fu wang School of Electronic Engineering Beijing University of Posts and Telecommunications Beijing 100876 China

All-optical sampling is an important research content of all-optical signal processing. In recent years, the application of the semiconductor optical amplifier （SOA） in optical sampling has attracted lots of attention because of its small volume and large nonlinear coefficient. We propose an optical sampling model based on nonlinear polarization rotation effect of the SOA. The proposed scheme has the advantages of high sampling speed and small input pump power, and a transfer curve with good linearity was obtained through simulation. To evaluate the performance of sampling, we analyze the linearity and efficiency of sampling pulse considering the impact of pulse width and analog signal frequency. We achieve the sampling of analog signal to high frequency pulse and exchange the positions of probe light and pump light to study another sampling.

关键词： All-optical sampling semiconductor optical amplifier nonlinear polarization rotation

Significant wave height forecasts integrating ensemble empirical mode decomposition with sequence-to-sequence model

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Acta Oceanologica Sinica 2023年第10期42卷 54-66页

作者： Lina Wang Yu Cao Xilin Deng Huitao Liu Changming Dong School of Artificial Intelligence(School of Future Technology) Nanjing University of Information Science&TechnologyNanjing 210044China Southern Marine Science and Engineering Guangdong Laboratory(Zhuhai) Zhuhai 519080China School of Marine Sciences Nanjing University of Information Science&TechnologyNanjing 210044China

As wave height is an important parameter in marine climate measurement,its accurate prediction is crucial in ocean engineering.It also plays an important role in marine disaster early warning and ship design,etc.However,challenges in the large demand for computing resources and the improvement of accuracy are currently encountered.To resolve the above mentioned problems,sequence-to-sequence deep learning model(Seq-to-Seq)is applied to intelligently explore the internal law between the continuous wave height data output by the model,so as to realize fast and accurate predictions on wave height data.Simultaneously,ensemble empirical mode decomposition(EEMD)is adopted to reduce the non-stationarity of wave height data and solve the problem of modal aliasing caused by empirical mode decomposition(EMD),and then improves the prediction accuracy.A significant wave height forecast method integrating EEMD with the Seq-to-Seq model(EEMD-Seq-to-Seq)is proposed in this paper,and the prediction models under different time spans are established.Compared with the long short-term memory model,the novel method demonstrates increased continuity for long-term prediction and reduces prediction errors.The experiments of wave height prediction on four buoys show that the EEMD-Seq-to-Seq algorithm effectively improves the prediction accuracy in short-term(3-h,6-h,12-h and 24-h forecast horizon)and long-term(48-h and 72-h forecast horizon)predictions.

关键词： significant wave height wave forecasting ensemble empirical mode decomposition(EEMD) Seq-to-Seq long short-term memory

Structural Engineering of Anode Materials for Low-Temperature Lithium-Ion Batteries: Mechanisms, Strategies, and Prospects

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NANO-MICRO LETTERS 2024年第1期16卷 1-27页

作者： wang, Guan wang, Guixin Fei, Linfeng Zhao, lina Zhang, Haitao Chinese Acad Sci Beijing Key Lab Ion Liquids Clean Proc Inst Proc Engn Beijing 100190 Peoples R China Sichuan Univ Sch Chem Engn Chengdu 610065 Peoples R China Hefei Univ Sch Energy Mat & Chem Engn Hefei 230601 Peoples R China Nanchang Univ Sch Mat Sci & Engn Nanchang 330031 Peoples R China Shenyang Univ Technol Sch Environm & Chem Engn Key Lab Polymer & Catalyst Synth Technol Liaoning Shenyang 110870 Peoples R China

The working principles and limitations of current anode materials at low temperatures are elucidated.Advantages and emphases of various modification strategies, including structural design, morphology control, surface & interface modifications, and multiphase materials of low-temperature anode materials, are reviewed.Perspectives and challenges in developing novel low-temperature anode materials are discussed. The severe degradation of electrochemical performance for lithium-ion batteries (LIBs) at low temperatures poses a significant challenge to their practical applications. Consequently, extensive efforts have been contributed to explore novel anode materials with high electronic conductivity and rapid Li+ diffusion kinetics for achieving favorable low-temperature performance of LIBs. Herein, we try to review the recent reports on the synthesis and characterizations of low-temperature anode materials. First, we summarize the underlying mechanisms responsible for the performance degradation of anode materials at subzero temperatures. Second, detailed discussions concerning the key pathways (boosting electronic conductivity, enhancing Li+ diffusion kinetics, and inhibiting lithium dendrite) for improving the low-temperature performance of anode materials are presented. Third, several commonly used low-temperature anode materials are briefly introduced. Fourth, recent progress in the engineering of these low-temperature anode materials is summarized in terms of structural design, morphology control, surface & interface modifications, and multiphase materials. Finally, the challenges that remain to be solved in the field of low-temperature anode materials are discussed. This review was organized to offer valuable insights and guidance for next-generation LIBs with excellent low-temperature electrochemical performance.

关键词： Low-temperature performance Anode materials Microstructural regulations Surface modifications ELECTROCHEMICAL PERFORMANCE GRAPHITE STORAGE LI4TI5O12 BEHAVIOR ELECTROLYTE CAPACITY DEPOSITION PROGRESS SURFACE