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Developing silicon-based photocathodes for CO_(2) conversion

Science China Chemistry 2024年第6期67卷 1904-1921页

作者： Weijie Zhuang Miao Kan tao meng Jinlong Zhang Key Laboratory for Advanced Materials and Joint International Research Laboratory of Precision Chemistry and Molecular Engineering Feringa Nobel Prize Scientist Joint Research CenterSchool of Chemistry and Molecular EngineeringEast China University of Science and TechnologyShanghai200237China Shanghai Engineering Research Center for Multimedia Environmental Catalysis and Resource Utilization East China University of Science and TechnologyShanghai200237China

Photoelectrochemical(PEC)conversion of CO_(2) presents a promising avenue for solar-driven chemical fuel production,with silicon emerging as a cost-effective and high-light-absorbing material pivotal to this technology.Aiming at exploring opportunities for industrializing PEC CO_(2) reduction(PEC-CO_(2)R)by minimizing reaction energy consumption,enhancing reaction efficiency and selectivity,this review summarizes recent advancements in developing Si-based photocathodes for PEC-CO_(2)R.It outlines the fundamental principles,advantages,and limitations of Si photocathodes with key performance metrics.Based on this understanding,the strategies to enhance the performance of the PEC-CO_(2)R system,including light absorption,charge separation,and catalytic reactions are categorized as the interfacial modification,active site decoration,and protective layer design.The design ideas of this advantageous three-layer structure in promoting the efficiency,stability,and selectivity have been clarified.Then,this review scrutinizes the influence of the photocathodic chemical environment.This review consolidates the mechanism insights and notable breakthroughs of various fuel generation processes within Si-based PEC-CO_(2)R systems.Providing this wealth of information offers an up-to-date perspective on the dynamic developments in silicon-based PEC-CO_(2) conversion and underscores the promising pathways toward the sustainable fuel synthesis from pollutant CO_(2).

关键词： photoelectrochemistry solar fuels silicon photocathodes carbon dioxide reduction microenvironment

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Fast thermal responsive separators toward long-life and safe lithium metal batteries

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Nano Research 2024年第4期17卷 2746-2754页

作者： Pingan Li Zhifang Liu Yitong Peng Shanshan Yang tao meng Yunhuan Hu Yingjun Jiang Hao Sun Qi Li Xianluo Hu State Key Laboratory of Materials Processing and Die and Mould Technology School of Materials Science and EngineeringHuazhong University of Science and TechnologyWuhan 430074China

Lithium metal batteries(LMBs)have been extensively investigated during the past decades because of their ultrahigh energy densities.With the increasing demand for energy density,however,the safety issue of LMBs has become a significant challenge.In particular,localized areas of increased temperature(namely,hotspots)may be induced and even exacerbated within LMBs by uneven current distribution,internal short circuits,or inadequate heat dissipation,which significantly sacrifices battery safety and cycle life.Here,we report the rational design and fabrication of a fast thermal responsive separator capable of inhibiting the growth of lithium dendrites and mitigating thermal propagation,thereby reducing the risk of thermal runaway.The as-achieved separator comprises both an electrospun membrane using a phase change material with superior thermal-storage ability and a thermally conductive modification layer of hexagonal boron nitride nanosheets with a fast heat-transfer feature.It is demonstrated that such a unique integration of heat conduction and heat storage enables the functional separator with attractive abilities to mitigate hotspots and inhibit the growth of lithium dendrites upon the cycling of LMBs.Moreover,pouch cells with the thermal-responsive separator,as well as numerical simulations,verify much enhanced safety and cycle life of LMBs.This work may offer a new conceptual design of intelligent separators that acts as a functional unit encapsulated within a single cell to boost in-situ thermal management,which will help to develop high-safety and energy-dense LMBs.

关键词： lithium metal batteries separators hotspots safety thermal management

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Developing silicon-based photocathodes for COconversion

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Science China Chemistry 2024年

作者： Weijie Zhuang Miao Kan tao meng Jinlong Zhang Key Laboratory for Advanced Materials and Joint International Research Laboratory of Precision Chemistry and Molecular Engineering Feringa Nobel Prize Scientist Joint Research Center School of Chemistry and Molecular Engineering East China University of Science and Technology Shanghai Engineering Research Center for Multimedia Environmental Catalysis and Resource Utilization East China University of Science and Technology

Photoelectrochemical(PEC) conversion of CO2presents a promising avenue for solar-driven chemical fuel production, with silicon emerging as a cost-effective and high-light-absorbing material pivotal to this technology. Aiming at exploring opportunities for industrializing PEC CO2reduction(PEC-CO2R) by minimizing reaction energy consumption, enhancing reaction efficiency and selectivity, this review summarizes recent advancements in developing Si-based photocathodes for PEC-CO2R. It outlines the fundamental principles, advantages, and limitations of Si photocathodes with key performance metrics. Based on this understanding, the strategies to enhance the performance of the PEC-CO2R system, including light absorption, charge separation,and catalytic reactions are categorized as the interfacial modification, active site decoration, and protective layer design. The design ideas of this advantageous three-layer structure in promoting the efficiency, stability, and selectivity have been clarified.Then, this review scrutinizes the influence of the photocathodic chemical environment. This review consolidates the mechanism insights and notable breakthroughs of various fuel generation processes within Si-based PEC-CO2R systems. Providing this wealth of information offers an up-to-date perspective on the dynamic developments in silicon-based PEC-CO2conversion and underscores the promising pathways toward the sustainable fuel synthesis from pollutant CO2.

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A deep learning model based on contrast-enhanced computed tomography for differential diagnosis of gallbladder carcinoma

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Hepatobiliary & Pancreatic Diseases International 2024年第4期23卷 376-384页

作者： Fei Xiang Qing-tao meng Jing-Jing Deng Jie Wang Xiao-Yuan Liang Xing-Yu Liu Sheng Yan Department of Hepatobiliary Pancreatic Surgery Second Affiliated HospitalZhejiang University School of MedicineHangzhou 310003China Department of Radiology Affiliated Chuzhou First People’s HospitalAnhui Medical UniversityChuzhou 239000China

Background:Gallbladder carcinoma(GBC)is highly malignant,and its early diagnosis remains difficult.This study aimed to develop a deep learning model based on contrast-enhanced computed tomography(CT)images to assist radiologists in identifying GBC.Methods:We retrospectively enrolled 278 patients with gallbladder lesions(>10 mm)who underwent contrast-enhanced CT and cholecystectomy and divided them into the training(n=194)and validation(n=84)datasets.The deep learning model was developed based on ResNet50 network.Radiomics and clinical models were built based on support vector machine(SVM)method.We comprehensively compared the performance of deep learning,radiomics,clinical models,and three radiologists.Results:Three radiomics features including LoG_3.0 gray-level size zone matrix zone variance,HHL firstorder kurtosis,and LHL gray-level co-occurrence matrix dependence variance were significantly different between benign gallbladder lesions and GBC,and were selected for developing radiomics model.Multivariate regression analysis revealed that age≥65 years[odds ratios(OR)=4.4,95%confidence interval(CI):2.1-9.1,P37 U/mL(OR=4.0,95%CI:1.6-10.0,P=0.003)were significant clinical risk factors of GBC.The deep learning model achieved the area under the receiver operating characteristic curve(AUC)values of 0.864(95%CI:0.814-0.915)and 0.857(95%CI:0.773-0.942)in the training and validation datasets,which were comparable with radiomics,clinical models and three radiologists.The sensitivity of deep learning model was the highest both in the training[90%(95%CI:82%-96%)]and validation[85%(95%CI:68%-95%)]datasets.Conclusions:The deep learning model may be a useful tool for radiologists to distinguish between GBC and benign gallbladder lesions.

关键词： Gallbladder carcinoma Computed tomography Deep learning Radiomics

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Predicting the Reflection Coefficient of a Viscoelastic Coating Containing a Cylindrical Cavity Based on an Artificial Neural Network Model

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Computer Modeling in Engineering & Sciences 2022年第2期130卷 1149-1170页

作者： Yiping Sun Qiang Bai Xuefeng Zhao meng tao School of Mechanical Engineering Guizhou UniversityGuiyang550025China Aviation Academy Guizhou Open UniversityGuiyang550003China

A cavity viscoelastic structure has a good sound absorption performance and is often used as a reflective baffle or sound absorption cover in underwater acoustic structures.The acoustic performance field has become a key research direction worldwide.Because of the time-consuming shortcomings of the traditional numerical analysis method and the high cost of the experimental method for measuring the reflection coefficient to evaluate the acoustic performance of coatings,this innovative study predicted the reflection coefficient of a viscoelastic coating containing a cylindrical cavity based on an artificial neural network(ANN).First,themapping relationship between the input characteristics and reflection coefficient was analysed.When the elastic modulus and loss factor value were smaller,the characteristics of the reflection coefficient curve were more complicated.These key parameters affected the acoustic performance of the viscoelastic coating.Second,a dataset of the acoustic performance of the viscoelastic coating containing a cylindrical cavity was generated based on the finite elementmethod(FEM),which avoided a large number of repeated experiments.The minmax normalization method was used to preprocess the input characteristics of the viscoelastic coating,and the reflection coefficient was used as the dataset label.The grid search method was used to fine-tune the ANNparameters,and the prediction error was studied based on a 10-fold cross-validation.Finally,the error distributions were analysed.The average root means square error(RMSE)and the mean absolute percentage error(MAPE)predicted by the improved ANN model were 0.298%and 1.711%,respectively,and the Pearson correlation coefficient(PCC)was 0.995,indicating that the improved ANN model accurately predicted the acoustic performance of the viscoelastic coating containing a cylindrical cavity.In practical engineering applications,by expanding the database of the material range,cavity size and backing of the coating,the reflection coefficient of more sound-absorb

关键词： Coating acoustic performance artificial neural network predicting

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A High-Efficiency Inversion Method for the Material Parameters of an Alberich-Type Sound Absorption Coating Based on a Deep Learning Model

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Computer Modeling in Engineering & Sciences 2022年第6期131卷 1693-1716页

作者： Yiping Sun Jiadui Chen Qiang Bai Xuefeng Zhao meng tao School of Mechanical Engineering Guizhou UniversityGuiyang550025China Aviation Academy Guizhou Open UniversityGuiyang550023China

Research on the acoustic performance of an anechoic coating composed of cavities in a viscoelastic material has recently become an area of great interest.Traditional forward research methods are unable to manipulate sound waves accurately and effectively,are difficult to analyse,have time-consuming solution processes,and have large optimization search spaces.To address these issues,this paper proposes a deep learning-based inverse research method to efficiently invert the material parameters of Alberich-type sound absorption coatings and rapidly predict their acoustic performance.First,an autoencoder(AE)model is pretrained to reconstruct the viscoelastic material parameters of an Alberich-type sound absorption coating,the material parameters are extracted into the latent feature space by the encoder,and the decoder model is saved.The internal relationship between the reflection coefficient and latent feature space is trained to establish a multilayer perceptron(MLP).Then,the reflection coefficients in the test set are input to the trained MLP and decoder models to automatically invert the material parameters.The accuracy of the inversion result is 95.08%.Finally,a predictive model is trained to rapidly predict the acoustic performance of the inverted material parameters.The speed of a single test target is 80 times faster than that of the finite element method(FEM).Furthermore,sound absorber material parameters with the best sound absorption performance and a three-band sound absorber are inverted,and their actual sound absorption performance is predicted by the proposed method.The proposed deep learning-based inversion research method provides a solution for low-frequency,wide-band,strong attenuation,and precisely controlled sound waves.It achieves an efficient inversion of material parameters and the rapid forecasting of acoustic performance.The training model can be used for a sound absorbing coating composed of irregular cavities in a viscoelastic material and predict its acoustic performance by only modifyin

关键词： Anechoic coating deep learning inversion research rapid forecasting

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Effectiveness of colonoscopy,immune fecal occult blood testing,and risk-graded screening strategies in colorectal cancer screening

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World Journal of Gastrointestinal Surgery 2024年第7期16卷 2270-2280页

作者： Ming Xu Jing-Yi Yang tao meng Department of Colorectal Surgery Qilu Hospital(Qingdao)Cheeloo College of MedicineQingdao 266000Shandong ProvinceChina Department of Gastrointestinal Surgery The First Affiliated Hospital of Zhengzhou UniversityZhengzhou 450052Henan ProvinceChina

BACKGROUND Colorectal cancer(CRC)is one of the most common malignant tumors,and early screening is crucial to improving the survival rate of patients.The combination of colonoscopy and immune fecal occult blood detection has garnered significant attention as a novel method for CRC screening.Colonoscopy and fecal occult blood tests,when combined,can improve screening accuracy and early detection rates,thereby facilitating early intervention and treatment.However,certain risks and costs accompany it,making the establishment of a risk classification model crucial for accurate classification and management of screened subjects.AIM To evaluate the feasibility and effectiveness of colonoscopy,immune fecal occult blood test(FIT),and risk-graded screening strategies in CRC screening.METHODS Based on the randomized controlled trial of CRC screening in the population conducted by our hospital May 2020 to May 2023,participants who met the requirements were randomly assigned to a colonoscopy group,an FIT group,or a graded screening group at a ratio of 1:2:2(after risk assessment,the high-risk group received colonoscopy,the low-risk group received an FIT test,and the FITpositive group received colonoscopy).The three groups received CRC screening with different protocols,among which the colonoscopy group only received baseline screening,and the FIT group and the graded screening group received annual follow-up screening based on baseline screening.The primary outcome was the detection rate of advanced tumors,including CRC and advanced adenoma.The population participation rate,advanced tumor detection rate,and colonoscopy load of the three screening programs were compared.RESULTS A total of 19373 subjects who met the inclusion and exclusion criteria were enrolled,including 8082 males(41.7%)and 11291 females(58.3%).The mean age was 60.05±6.5 years.Among them,3883 patients were enrolled in the colonoscopy group,7793 in the FIT group,and 7697 in the graded screening group.Two rounds of follow-up screening were completed in the FIT

关键词： Colorectal tumor Immune fecal occult blood testing Colonoscopy Hierarchical screening Risk assessment

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Evaluation of skin barrier function based on skin dermoscopic features in patients with rosacea

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Chinese Medical Journal 2023年第15期136卷 1885-1887页

作者： Yixuan Liu Peiyu Jiang Yunyi Liu Jin Liu Min Li meng tao Yue Zhang Ruoxin Pan Yang Xu Department of Dermatology The First Affiliated Hospital of Nanjing Medical UniversityNanjingJiangsu 210029China Clinical Medicine Research Institution The First Affiliated Hospital of Nanjing Medical UniversityNanjingJiangsu 210029China

To the Editor:Rosacea is a common chronic inflammatory skin disease with typical manifestations such as flushing,erythema,papules,pustules,and phymatous changes.[1]It has been indicated that the resulting abnormal skin barrier structure and function was associated with the etiology and pathological process of rosacea.[2]Transepidermal water loss(TEWL)and stratum corneum hydration(SCH)are commonly used to evaluate skin barrier function and must be measured using specific instruments,such as the Cutometer MPA 580(Courage&Khazaka Electronic GmbH,Cologne,Germany)and GPSkin Barrier(GPOWER Inc.,Seoul,South Korea),which inter-correlate well.[3]However,these instruments are not available to most dermatologists.Dermoscopy has been incorporated into the clinical practice of most dermatologists.Practically,dermoscopy is more accessible to clinical dermatologists than skin barrier measure instruments.

关键词： barrier function patients

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数字时代企业的业财融合与组织韧性研究

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财经问题研究 2024年第6期 109-120页

作者：孟韬张天锴东北财经大学国际商学院辽宁大连116025 东北财经大学工商管理学院辽宁大连116025

数字时代组织的形式、边界和运营方式发生了重大转变,企业的外部经营环境也面临着宏观环境不确定性、风险突发性、多变性等多重考验,这使得组织韧性成为管理与实践领域新的研究重点。基于此,本文将业财融合这一数字时代新兴的管理模式... 详细信息

数字时代组织的形式、边界和运营方式发生了重大转变,企业的外部经营环境也面临着宏观环境不确定性、风险突发性、多变性等多重考验,这使得组织韧性成为管理与实践领域新的研究重点。基于此,本文将业财融合这一数字时代新兴的管理模式上升至组织战略层面,基于2006—2021年中国沪深A股上市公司数据,采用双向固定效应模型实证检验业财融合对组织韧性的影响及作用机制。研究结果表明:业财融合能够提升组织韧性;业财融合对高数字化转型程度企业、CEO具有财务背景企业、高业务复杂度企业组织韧性的提升作用更显著;业财融合通过加强内部控制质量和提高投资效率提升组织韧性。本文的研究结论对企业在数字时代提升组织韧性和克服传统风险管理所面临的问题具有一定的理论价值和现实意义。

关键词：业财融合组织韧性数字化转型内部控制质量投资效率

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Emergency Law in China： Its Formation, Present State and Future

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Social Sciences in China 2011年第3期32卷 104-119页

作者： meng tao The Institute of Law CASS

中国非常法律的形成，是为了应对紧急事件。这类法律由法律法规、应急预案和军事法规等组成，规定了战争状态、紧急状态和应急状态三种非常状态，致力于建构专业化大分工基础上的综合统一体制。在实践中，应急预案取代了法律法规，成为... 详细信息

中国非常法律的形成，是为了应对紧急事件。这类法律由法律法规、应急预案和军事法规等组成，规定了战争状态、紧急状态和应急状态三种非常状态，致力于建构专业化大分工基础上的综合统一体制。在实践中，应急预案取代了法律法规，成为紧急事件治理的基本规范依据；政府和武装力量处于主导地位。中国非常法律基于必要而形成，其适用具有临时性，主要内容具有授权性和预防性。非常法律未来发展的主要目标是：与中国特色社会主义法律体系衔接，制定紧急状态下的基本法，完善非常法律的各项具体机制。

关键词：非常状态综合治理执行主导预防性法律

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