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Quasi-two dimensional Ruddlesden−Popper halide perovskites for laser applications

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Frontiers of physics 2024年第2期19卷 53-71页

作者： Kun Chen Qianpeng Zhang yin liang Jiepeng Song Chun Li Shi Chen Fang Li Qing Zhang School of Mechanical and Electrical Engineering Wuhan Institute of TechnologyWuhan 430205China School of Materials Science and Engineering Peking UniversityBeijing 100871China Institute of Applied Physics and Materials Engineering Macao UniversityMacao 999078China

Quasi-two-dimensional(2D)Ruddlesden‒Popper(RP)halide perovskites,as a kind of emerged two-dimensional layered materials,have recently achieved great attentions in lasing materials field owing to their large exciton binding energy,high emission yield,large optical gain,and wide-range tuning of optical bandgap.This review will introduce research progresses of RP halide perovskites for lasing applications in aspects of materials,photophysics,and devices with emphasis on emission and lasing properties tailored by the molecular composition and interface.The materials,structures and fabrications are introduced in the first part.Next,the optical transitions and amplified spontaneous emission properties are discussed from the aspects of electronic structure,exciton,gain dynamics,and interface tailoring.Then,the research progresses on lasing devices are summarized and several types of lasers including VCSEL,DFB lasers,microlasers,random lasers,plasmonic lasers,and polariton lasers are discussed.At last,the challenges and perspectives would be provided.

关键词： two-dimensional materials metal halide perovskite Ruddlesden−Popper halide perovskites lasing emission

A finite volume method for global electromagnetic induction forward modeling on collocated unstructured grids

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Earth and Planetary Physics 2023年第1期7卷 57-65页

作者： liang yin ZhengYong Ren HongBo Yao Cong Yang State Key Laboratory of Lunar and Planetary Sciences Macao University of Science and TechnologyMacaoChina CNSA Macao Center for Space Exploration and Science MacaoChina School of Geosciences and Info-Physics Central South UniversityChangsha 410083China Key Laboratory of Metallogenic Prediction of Nonferrous Metals and Geological Environment Monitoring Ministry of Education(Central South University)Changsha 410083China Hunan Key Laboratory of Nonferrous Resources and Geological Hazards Exploration Central South UniversityChangsha 410083China

Global electromagnetic induction provides an efficient way to probe the electrical conductivity in the Earth’s deep interior.Owing to the increasing geomagnetic data especially from high-accuracy geomagnetic satellites,inverting the Earth’s three-dimensional conductivity distribution on a global scale becomes attainable.A key requirement in the global conductivity inversion is to have a forward solver with high-accuracy and efficiency.In this study,a finite volume method for global electromagnetic induction forward modeling is developed based on unstructured grids.Arbitrary polyhedral grids are supported in our algorithms to obtain high geometric adaptability.We employ a cell-centered collocated variable arrangement which allows convenient discretization for complex geometries and straightforward implementation of multigrid technique.To validate the method,we test our code with two synthetic models and compare our finite volume results with an analytical solution and a finite element numerical solution.Good agreements are observed between our solution and other results,indicating acceptable accuracy of the proposed method.

关键词： global electromagnetic induction mantle electrical conductivity finite volume method unstructured grids

Identification of a novel inflammatory-related gene signature to evaluate the prognosis of gastric cancer patients

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World Journal of Gastrointestinal Oncology 2024年第3期16卷 945-967页

作者： Jia-Li Hu Mei-Jin Huang Halike Halina Kun Qiao Zhi-Yuan Wang Jia-Jie Lu Cheng-liang yin Feng Gao Department of Gastroenterology People's Hospital of Xinjiang Uygur Autonomous RegionUrumqi 830001Xinjiang Uygur Autonomous RegionChina Xinjiang Clinical Research Center for Digestive Disease Urumqi 830001Xinjiang Uygur Autonomous RegionChina Department of Oncology 920th Hospital of PLA Joint Logistics Support ForceKunming 650032Yunnan ProvinceChina Faculty of Medicine Macao University of Science and TechnologyMacao 999078China

BACKGROUND Gastric cancer(GC)is a highly aggressive malignancy with a heterogeneous nature,which makes prognosis prediction and treatment determination difficult.Inflammation is now recognized as one of the hallmarks of cancer and plays an important role in the aetiology and continued growth of tumours.Inflammation also affects the prognosis of GC patients.Recent reports suggest that a number of inflammatory-related biomarkers are useful for predicting tumour prognosis.However,the importance of inflammatory-related biomarkers in predicting the prognosis of GC patients is still unclear.AIM To investigate inflammatory-related biomarkers in predicting the prognosis of GC patients.was constructed using the least absolute shrinkage and selection operator Cox regression model based on the GEO database.GC patients from the GSE26253 cohort were used for validation.Univariate and multivariate Cox analyses were used to determine the independent prognostic factors,and a prognostic nomogram was established.The calibration curve and the area under the curve based on receiver operating characteristic analysis were utilized to evaluate the predictive value of the nomogram.The decision curve analysis results were plotted to quantify and assess the clinical value of the nomogram.Gene set enrichment analysis was performed to explore the potential regulatory pathways involved.The relationship between tumour immune infiltration status and risk score was analysed via Tumour Immune Estimation Resource and CIBERSORT.Finally,we analysed the association between risk score and patient sensitivity to commonly used chemotherapy and targeted therapy agents.RESULTS A prognostic model consisting of three inflammatory-related genes(MRPS17,GUF1,and PDK4)was constructed.Independent prognostic analysis revealed that the risk score was a separate prognostic factor in GC patients.According to the risk score,GC patients were stratified into high-and low-risk groups,and patients in the high-risk group had significantly worse prognoses according to age

关键词： Gastric cancer Inflammation Immune infiltration Prognosis signature Subt

Bioinspired anti-freezing 3D-printable conductive hydrogel microfibers for highly-sensitive and wide-range detection of ultralow and high strains

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Green Chemical Engineering 2024年第1期5卷 132-143页

作者： Yi-Min Yang Ting-Yuan Hu Haidong Fan Lu Shi Shi-Yuan Zhang Zhuang Liu Xiao-Jie Ju Rui Xie Wei Wang liang-yin Chu School of Chemical Engineering Sichuan UniversityChengdu610065China Department of Mechanics Sichuan UniversityChengdu610065China State Key Laboratory of Polymer Materials Engineering Sichuan UniversityChengdu610065China

Soft strain sensors that can transduce stretch stimuli into electrical readouts are promising as sustainable wearable electronics.However,most strain sensors cannot achieve highly-sensitive and wide-range detection of ultralow and high strains.Inspired by bamboo structures,anti-freezing microfibers made of conductive poly(vinyl alcohol)hydrogel with poly(3,4-ethylenedioxythiphene)-poly(styrenesulfonate)are developed via continuous microfluidic spinning.The microfibers provide unique bamboo-like structures with enhanced local stress to improve both their length change and resistance change upon stretching for efficient signal conversion.The microfibers allow highlysensitive(detection limit:0.05%strain)and wide-range(0%-400%strain)detection of ultralow and high strains,as well as features of good stretchability(485%strain)and anti-freezing property(freezing temperature:-41.1°C),fast response(200 ms),and good repeatability.The experimental results,together with theoretical foundation analysis and finite element analysis,prove their enhanced length and resistance changes upon stretching for efficient signal conversion.By integrating microfluidic spinning with 3D-printing technique,the textiles of the microfibers can be flexibly constructed.The microfibers and their 3D-printed textiles enable highperformance monitoring of human motions including finger bending and throat vibrating during phonation.This work provides an efficient and general strategy for developing advanced conductive hydrogel microfibers as highperformance wearable strain sensors.

关键词： Conductive hydrogel microfibers Microfluidics Sensitive detection Wide detection range Anti-freezing

Factors influencing willingness to participate in ophthalmic clinical trials and strategies for effective recruitment

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International Journal of Ophthalmology(English edition) 2024年第1期17卷 157-163页

作者： Jia-En liang Meng-yin liang En-En Zhang Yu-ying Peng Ling-Ling Chen Jia-Yu Deng Ting Lin Jun Fu Jia-Ni Zhang Shao-Li Li Fei Li Hui-Ming Xaio Wen-Min Huang Yu-Hong Liu State Key Laboratory of Ophthalmology Zhongshan Ophthalmic CenterSun Yat-sen UniversityGuangdong Provincial Key Laboratory of Ophthalmology and Visual ScienceGuangdong Provincial Clinical Research Center for Ocular DiseasesGuangzhou 510060Guangdong ProvinceChina

AIM:To explore the factors influencing individuals’willingness to participate in ophthalmic clinical trials.METHODS:A questionnaire survey was conducted from January to April 2021 among patients and their family members at Zhongshan Ophthalmic Center,Sun Yat-sen University,in Guangzhou,China.The survey gathered data on respondents’willingness,demographic and socioeconomic profiles,as well as their reasons and concerns regarding engagement in clinical trials.RESULTS:Of the 1078 residents surveyed(mean age 31.2±13.1y;65.8%females)in Guangzhou,749(69.5%)expressed a willingness to participate in future ophthalmic clinical trials.Specific characteristics associated with greater willingness included a younger age,lower annual income,higher education,prior participation experience,previous ophthalmic treatment,and a better understanding of clinical trials.With the exception of age,these characteristics were significantly linked to a higher willingness.The primary barrier to participation,expressed by 64.8%of those willing and 54.4%of those unwilling,was“Uncertain efficacy”.In terms of motivations,the willing group ranked“Better therapeutic benefits”(35.0%),“Professional monitoring”(34.3%),and“Trust in healthcare professionals”(33.1%)as their top three reasons,whereas the unwilling participants indicated“Full comprehension of the protocol”(46.2%)as the key facilitator.CONCLUSION:This study reveals a substantial willingness to participate in ophthalmic clinical trials and demonstrates the predictive role of demographic and socioeconomic factors.Variations in motivators and concerns between willing and unwilling participants highlight the significance of tailored recruitment strategies.Importantly,the need for and trust in healthcare professionals stand out as powerful motivations,underscoring the importance of enhancing physician-patient relationships,adopting patient-centered communication approaches,and addressing individualized needs to improve accrual rates.

关键词： participation willingness recruitment strategy ophthalmic clinical trial

Multi-surrogate framework with an adaptive selection mechanism for production optimization

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Petroleum Science 2024年第1期21卷 366-383页

作者： Jia-Lin Wang Li-Ming Zhang Kai Zhang Jian Wang Jian-Ping Zhou Wen-Feng Peng Fa-liang yin Chao Zhong Xia Yan Pi-Yang Liu Hua-Qing Zhang Yong-Fei Yang Hai Sun School of Petroleum Engineering China University of Petroleum(East China)Qingdao266580ShandongChina Qingdao University of Technology Qingdao266580ShandongChina College of Science China University of PetroleumQingdao266580ShandongChina Zepu Oil and Gas Development Department PetroChina Tarim Oilfield CompanyKorla841000XinjiangChina Hainan Branch of CNOOC Ltd Haikou70311HainanChina

Data-driven surrogate models that assist with efficient evolutionary algorithms to find the optimal development scheme have been widely used to solve reservoir production optimization problems.However,existing research suggests that the effectiveness of a surrogate model can vary depending on the complexity of the design problem.A surrogate model that has demonstrated success in one scenario may not perform as well in others.In the absence of prior knowledge,finding a promising surrogate model that performs well for an unknown reservoir is challenging.Moreover,the optimization process often relies on a single evolutionary algorithm,which can yield varying results across different cases.To address these limitations,this paper introduces a novel approach called the multi-surrogate framework with an adaptive selection mechanism(MSFASM)to tackle production optimization problems.MSFASM consists of two stages.In the first stage,a reduced-dimensional broad learning system(BLS)is used to adaptively select the evolutionary algorithm with the best performance during the current optimization period.In the second stage,the multi-objective algorithm,non-dominated sorting genetic algorithm II(NSGA-II),is used as an optimizer to find a set of Pareto solutions with good performance on multiple surrogate models.A novel optimal point criterion is utilized in this stage to select the Pareto solutions,thereby obtaining the desired development schemes without increasing the computational load of the numerical simulator.The two stages are combined using sequential transfer learning.From the two most important perspectives of an evolutionary algorithm and a surrogate model,the proposed method improves adaptability to optimization problems of various reservoir types.To verify the effectiveness of the proposed method,four 100-dimensional benchmark functions and two reservoir models are tested,and the results are compared with those obtained by six other surrogate-model-based methods.The results demonstrate that our approach can obtain th

关键词： Production optimization Multi-surrogate models Multi-evolutionary algorithms Dimension reduction Broad learning system

Review on the design and optimization of hydrogen liquefaction processes

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Frontiers in Energy 2020年第3期14卷 530-544页

作者： liang yin Yonglin JU Institute of Refrigeration and Cryogenics Shanghai Jiao Tong UniversityShanghai 200240China

The key technologies of liquefied hydrogen have been developing rapidly due to its prospective energy exchange effectiveness,zero emissions,and long distance and economic transportation.However,hydrogen liquefaction is one of the most energy-intensive industrial processes.A small reduction in energy consumption and an improvement in efficiency may decrease the operating cost of the entire process.In this paper,the detailed progress of design and optimization for hydrogen liquefaction in recent years are summarized.Then,based on the refrigeration cycles,the hydrogen liquefaction processes are divided into two parts,namely precooled liquefaction process and cascade liquefaction process.Among the existing technologies,the SEC of most hydrogen liquefaction processes is limited in the range of 5-8 kWh/kgLH,(LH2:liquid hydrogen).The exergy efficiencies of processes are around 40%to 60%.Finally,several future improvements for hydrogen liquefaction process design and optimization are proposed.The mixed refrigerants(MRs)as the working fluids of the process and the combination of the traditional hydrogen liquefaction process with the renewable energy technology will be the great prospects for development in near future.

关键词： hydrogen liquefaction energy consumption efficiency optimization

Asymmetric Synthesis of Chiral 1,3-Disubstituted Allylsilanes via Copper(I)-Catalyzed 1,4-Conjugate Silylation ofα,β-Unsaturated Sulfones and Subsequent Julia-Kocienski Olefination

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Chinese Journal of Chemistry 2021年第7期39卷 1916-1922页

作者： Xian-liang Wang Xing-Hao yin Jun-Zhao Xiao Xue-Shun Jia liang yin CAS Key Laboratory of Synthetic Chemistry of Natural Substances Center for Excellence in Molecular SynthesisShanghai Institute of Organic ChemistryUniversity of Chinese Academy of SciencesChinese Academy of Sciences345 Lingling RoadShanghai200032 China Department of Chemistry Shanghai University99 Shangda RoadShanghai200444 China

Main observation and conclusion A general synthesis of chiral 1,3-disubstituted allylsilanes is established through copper(I)-catalyzed asymmetric 1,4-conjugate silylation ofα,β-unsaturated sulfones and subsequent Julia-Kocienski olefination.By modification of McQuade's NHC ligand,the catalytic asymmetric conjugate silylation with a broad substrate scope is achieved in high enantioselectivity.

关键词： Chiral allylsilanes Silylation Olefination Allylation Asymmetric catalysis

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引江济淮淠河总干渠渡槽桥概念设计

桥梁建设 2024年第1期54卷 110-116页

作者：杨善红殷亮余振黄浩朱宇安徽省综合交通研究院安徽合肥230088 安徽省交通规划设计研究总院安徽合肥230088 中铁四局设计研究院安徽合肥230088

引江济淮淠河总干渠渡槽桥是安徽省1号工程引江济淮河道上的一座通水、通航桥梁,桥上水体重量约4万吨,且旱、涝水位变幅极大,属于超量级可变重载。针对该桥竖向刚度和竖向位移、开口断面抗扭能力以及先建后挖的边坡稳定和基础变位等难... 详细信息

引江济淮淠河总干渠渡槽桥是安徽省1号工程引江济淮河道上的一座通水、通航桥梁,桥上水体重量约4万吨,且旱、涝水位变幅极大,属于超量级可变重载。针对该桥竖向刚度和竖向位移、开口断面抗扭能力以及先建后挖的边坡稳定和基础变位等难以控制的问题进行概念设计。该桥采用左右分幅、上桁下拱的结构方案,有效控制了下挠和上拱值,较好地解决了竖向刚度和竖向位移变幅问题;采用上开下合布置形式,梁式U形槽下设置2个拱片+M形横联,有效控制了侧倾和压弯下挠,解决了U形槽的横向变形和扭转问题;采用外桁内波布置,创造性地采用了一种波形板槽壁,通过叶摆式支撑板连接在桁架桥上,解决了水槽与桥体传递力线、水凉钢热的温差效应、水体与桥槽的流固耦合等问题,并采用水工试验等验证了结构的减振作用;采用分阶段的土体开挖施工方案,形成时间差,解决了先建后挖的边坡稳定和基础变位问题;设置分流岛结构、观景平台和监控景观塔,解决了大体量桥体景观设计问题。充水试验结果表明桥梁结构状态良好。

关键词：梁拱组合结构渡槽桥超量级可变重载波形板概念设计景观设计桥梁施工充水试验