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Chinese Chemical Letters 2024年第6期35卷 288-292页

作者： Hui-juan Wang wen-wen Xing Zhen-Hai Yu Yong-xue Li Heng-Yi Zhang Qilin Yu Hongjie Zhu Yao-Yao Wang Yu Liu College of Chemistry State Key Laboratory of Elemento-Organic ChemistryNankai UniversityTianjin 300071China Shandong Provincial Key Laboratory of Chemical Energy Storage and Novel Cell Technology School of Chemistry and Chemical EngineeringLiaocheng UniversityLiaocheng 252000China Key Laboratory of Molecular Microbiology and Technology College of Life SciencesNankai UniversityTianjin 300071China

Macrocycle confinement induced guest near-infrared(NIR)luminescence was research hotspot *** in,we reported a cucurbit[7]uril(CB[7])confined 3,7-bis((E)-2-(pyridin-4-yl)vinyl)-10-Hphenothiazine bridged bis(4-(4-bromophenyl)pyridine)(G),which not only boosted its NIR luminescence but also realized detection of HClO/ClO^(-)in living cells and lysosome *** spectroscopy experiments were performed to calculate the detection ability of probe G to HClO/ClO^(-)up to 147 nmol/*** compared with G,supramolecular probe G■CB[7]formed after encapsulated by CB[7],the detection ability towards HClO/ClO^(-)was improved to 24 nmol/L which was ascribe to the macrocycle CB[7]confinement increasing the fluorescence intensity to 103 *** the excitation wavelength changing,the fluorescence red-shifted to 820 nm when excited by 570 nm light,which was used to NIR lysosome ***,the supramolecular assembly G■CB[7]was also successfully used to highly sense to exogenous HClO/ClO^(-)in RAW 264.7 cells and live animal.

关键词： Phenothiazine Supramolecular assembly Macrocycle confined Probe HClO/ClO^(-)

Ultra-high-rate Bi anode encapsulated in 3D lignin-derived carbon framework for sodium-ion hybrid capacitors

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Rare Metals 2024年第3期43卷 1037-1047页

作者： Ze-Hua Lin xue-Qing Qiu Xi-Hong Zu Xiao-Shan Zhang Lei Zhong Shi-Rong Sun Shu-Hua Hao Ying-juan Sun wen-Li Zhang school of Chemical engineering and Light Industry Guangdong University of Technology(GDUT)Guangzhou510006China Jieyang Branch of Chemistry and Chemical engineering Guangdong Laboratory(Rongjiang Laboratory) Jieyang515200China school of Advanced Manufacturing Institute of Green Chemistry and Advanced MaterialsGuangdong University of TechnologyJieyang515200China

Bismuth(Bi),as an alloy-based anode material,has attracted much atte ntion in the developme nt of sodiumion hybrid capacitors(SIHCs)due to its high theoretical ***,the volume expansion of the Bi-based anode during the sodiation/desodiation process results in limited rate *** the present work,a porous Bi-based composite was constructed by a one-step hydrothermal method,and Bi was encapsulated in ligninderived nitrogen-doped porous carbon(Bi@LNPC)after *** obtained Bi nanoparticles could effectively adapt to the strain and shorten the diffusion distance of Na^(+).In addition,porous carbon skeleton provides a rigid conductive network for electronic ***,the assembled sodium-ion half-cell with Bi@LNPC anode shows ultra-high-rate *** the current density was enhanced from 0.1 to 50 A·g^(-1),the specific capacity decreased slightly from 351.5 to 342.8 mAh·g^(-1).Even at an extremely high current density of 200 A·g^(-1),it retains 81.3%capacity retention when compared to a current density of 1 A·g^(-1).The SIHCs assembled by Bi@LNPC show a high energy density of 63 Wh·kg^(-1).This work provides an effective method for developing high-rate Bi anode materials for sodium-ion hybrid capacitors(SIHCs)and sodium-ion batteries(SIBs).

关键词： Bismuth Lignin Sodium-ion batteries Sodium-ion hybrid capacitors Rate Porous carbon

Electrical uniformity analyses on 12-inch Si-based Hf0.5Zr0.5O2 ferroelectric capacitor devices by atomic layer deposition

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Progress in Natural science:Materials International 2024年第3期34卷 598-605页

作者： wen-juan Ding Yu Liu Zhi-Qiang Xiao Li Gao Yu-Chen Li Lin Zhu Xiang Li Wei-Min Li Shuang Chen Ai-Dong Li National Laboratory of Solid State Microstructures College of Engineering and Applied Sciences and Collaborative Innovation Center of Advanced MicrostructuresNanjing University Jiangsu Leadmicro Nano-Technology Co. Ltd. Semiconductor Manufacturing North china Corp. Kuang Yaming Honors school Nanjing University

The study on the uniformity of electrical performance of large wafer-scale Hf0.5Zr0.5O2（HZO） ferroelectric capacitors is still lacking yet now. In this work, TiN/HZO/TiN metal-ferroelectric-metal（MFM） devices on 12-inch silicon wafers have been fabricated by thermal atomic layer deposition. The correlation of thickness uniformity with device-to-device variation of electrical properties and yield of the 12-inch MFM system was investigated. It was found that the uniformity of ferroelectric properties is closely related to the variation of HZO thickness of the MFM system, the concentration of oxygen vacancies in the micro-region of the HZO film, and the ferroelectric phase micro-distribution on 12-inch Si wafer. This work provides some important information for the performance optimization of HfO2-based ferroelectric random access memories.

关键词： 12-Inch Si wafer Atomic layer deposition Electrical uniformity Ferroelectric random access memory Hf0.5Zr0.5O2 ferroelectric thin film

The Bright Single Pulse Emission from PSR B1133+16

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Research in Astronomy and Astrophysics 2024年第4期24卷 253-261页

作者： Jun Tan Zhi-Gang wen Zhen Wang xue-Feng Duan Hong-Guang Wang Na Wang Vishal Gajjar Jian-Ping Yuan Rai Yuen wen-Ming Yan Jian-Ling Chen Wei Han Hui Wang Cheng-Bing Lyu Ai-Jun Dong Maths and information Technology school Yuncheng UniversityYuncheng 044000China Xinjiang Astronomical Observatory Chinese Academy of SciencesUrumqi 830011China Xinjiang Key Laboratory of Radio Astrophysics Urumqi 830011China school of Physics and Materials science Guangzhou UniversityGuangzhou 510006China Space science Laboratory University of CaliforniaBerkeley 94710USA Department of Physics and Electronic engineering Yuncheng UniversityYuncheng 044000China school of Physics and Electronic science Guizhou Normal UniversityGuiyang 550025China

We have conducted a comprehensive investigation into the bright single pulse emission from PSR B1133+16using the Giant Metrewave Radio *** time resolution data(61μs)were obtained at a center frequency of 322 MHz with a bandwidth of 32 MHz over a continuous observation period of 7.45 hr.A total of 1082 bright pulses were sporadically detected with peak flux densities ranging from 10 to 23 times stronger than the average pulse ***,no giant pulse-like emission with a relative pulse energy larger than 10 and extremely short duration was detected,indicating that these bright pulses cannot be categorized as giant pulse *** majority of these bright pulses are concentrated in pulse phases at both the leading and trailing windows of the average pulse profile,with an occurrence ratio of approximately *** pulse energy distribution for all individual pulses can be described by a combination of two Gaussian components and a cutoff power-law with an index of α=-*** updated nulling fraction of 15.35%±0.45% was determined from the energy *** emission of individual pulses follows a log-normal distribution in peak flux density *** is imperative that regular phase drifting in bright pulse sequence is identified in both the leading and trailing components for the first *** physical mechanisms are discussed in detail to provide insights into these observations.

关键词： (stars:)pulsars:general (stars:)pulsars:individual(PSR B1133+16) methods:observational methods:data analysis

Preoperative prediction of lymphovascular and perineural invasion in gastric cancer using spectral computed tomography imaging and machine learning

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World Journal of Gastroenterology 2024年第6期30卷 542-555页

作者： Hui-Ting Ge Jian-Wu Chen Li-Li Wang Tian-Xiu Zou Bin Zheng Yuan-Fen Liu Yun-Jing xue Wei-wen Lin Department of Radiology Fujian Medical University Union HospitalFuzhou 350001Fujian ProvinceChina Fujian Key Laboratory of Intelligent Imaging and Precision Radiotherapy for Tumors Fujian Medical UniversityFuzhou 350001Fujian ProvinceChina Digestive Hematological and Breast MalignanciesClinical Research Center for Radiology and Radiotherapy of Fujian ProvinceFuzhou 350001Fujian ProvinceChina Department of Radiation Oncology Fujian Medical University Union HospitalFuzhou 350001Fujian ProvinceChina Department of Diagnostic Radiology Fujian Medical University Union HospitalFuzhou 350001Fujian ProvinceChina school of Electrical and Computer engineering University of OklahomaOklahomaOK 73019United States

BACKGROUND Lymphovascular invasion(LVI)and perineural invasion(PNI)are important prognostic factors for gastric cancer(GC)that indicate an increased risk of metastasis and poor *** preoperative prediction of LVI/PNI status could help clinicians identify high-risk patients and guide treatment ***,prior models using conventional computed tomography(CT)images to predict LVI or PNI separately have had limited *** CT provides quantitative enhancement parameters that may better capture tumor *** hypothesized that a predictive model combining clinical and spectral CT parameters would accurately preoperatively predict LVI/PNI status in GC *** To develop and test a machine learning model that fuses spectral CT parameters and clinical indicators to predict LVI/PNI status *** This study used a retrospective dataset involving 257 GC patients(training cohort,n=172;validation cohort,n=85).First,several clinical indicators,including serum tumor markers,CT-TN stages and CT-detected extramural vein invasion(CT-EMVI),were extracted,as were quantitative spectral CT parameters from the delineated tumor ***,a two-step feature selection approach using correlation-based methods and information gain ranking inside a 10-fold cross-validation loop was utilized to select informative clinical and spectral CT parameters.A logistic regression(LR)-based nomogram model was subsequently constructed to predict LVI/PNI status,and its performance was evaluated using the area under the receiver operating characteristic curve(AUC).RESULTS In both the training and validation cohorts,CT T3-4 stage,CT-N positive status,and CT-EMVI positive status are more prevalent in the LVI/PNI-positive group and these differences are statistically significant(P<0.05).LR analysis of the training group showed preoperative CT-T stage,CT-EMVI,single-energy CT values of 70 keV of venous phase(VP-70 keV),and the ratio of standardized iodine co

关键词： Spectral computed tomography Gastric cancer Lymphovascular invasion Perineural invasion

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用能权交易制度的减污降碳协同效应分析

环境科学 2024年第8期45卷 4627-4635页

作者：吴雪萍邱文海福建江夏学院经济贸易学院福州350108 福建商学院信息工程学院福州350012

“双碳”战略目标下,用能权交易制度作为中国能源领域市场化改革的一项创新制度,能否推动减污降碳协同增效仍有待研究.基于2008~2019年中国省际面板数据,通过双重差分法探究了用能权交易制度对减污降碳协同增效的影响.结果表明,用能权... 详细信息

“双碳”战略目标下,用能权交易制度作为中国能源领域市场化改革的一项创新制度,能否推动减污降碳协同增效仍有待研究.基于2008~2019年中国省际面板数据,通过双重差分法探究了用能权交易制度对减污降碳协同增效的影响.结果表明,用能权交易制度提升了试点地区减污降碳水平.具体地,用能权交易制度使试点地区的CO_(2)排放量和PM_(2.5)浓度分别下降13.3%和3.1%,使整体减污降碳水平提高0.237个单位.机制分析发现,能源效率是用能权交易制度赋能减污降碳协同增效的路径.进一步分析发现,地方政府的环境保护目标强化了用能权交易制度的减污降碳协同效应.令人意外的是,经济增长目标并没有削弱用能权交易制度的有效性.文章为理解市场型环境规制与协同治理之间的关系提供了新的经验证据,并为中国实现“双碳”战略目标提供了有力支持.

关键词：用能权交易制度(ECPTS) 减污降碳协同效应双重差分模型碳达峰碳中和

High-resolution imaging of magnetic fields of banknote anti-counterfeiting strip using fiber diamond probe

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Chinese Physics B 2024年第4期33卷 720-727页

作者：赵旭彤何飞越薛雅文马文豪殷筱晗夏圣开曾明菁杜关祥 College of Telecommunications and information engineering Nanjing University of Posts and TelecommunicationsNanjing 210003China College of science Nanjing University of Posts and TelecommunicationsNanjing 210003China school of Computer science Nanjing University of Posts and TelecommunicationsNanjing 210023China Bell Honors school Nanjing University of Posts and TelecommunicationsNanjing 210023China

Counterfeiting of modern banknotes poses a significant challenge,prompting the use of various preventive *** such measure is the magnetic anti-counterfeiting ***,due to its inherent weak magnetic properties,visualizing its magnetic distribution has been a longstanding *** this work,we introduce an innovative method by using a fiber optic diamond probe,a highly sensitive quantum sensor designed specifically for detecting extremely weak magnetic *** employ this probe to achieve high-resolution imaging of the magnetic fields associated with the RMB 50denomination anti-counterfeiting ***,we conduct computer simulations by using COMSOL Multiphysics software to deduce the potential geometric characteristics and material composition of the magnetic region within the anti-counterfeiting *** findings and method presented in this study hold broader significance,extending the RMB 50 denomination to various denominations of the Chinese currency and other items that employ magnetic anti-counterfeiting *** advances have the potential to significantly improve and promote security measures in order to prevent the banknotes from being counterfeited.

关键词： banknote anti-counterfeiting strip nitrogen-vacancy(NV)centers magnetic field imaging numerical simulation

基于改进YOLOv8算法的实时细粒度植物病害检测

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中国农机化学报 2024年第5期45卷 188-194页

作者：薛霞刘鹏周文运城学院数学与信息技术学院山西运城044000 山西农业大学信息科学与工程学院山西晋中030800 中国科学院计算技术研究所计算机体系结构国家重点实验室北京市100190

为解决现有识别方法在植物病害检测中遇到的密集分布、不规则形态、多尺度目标类别、纹理相似性等障碍,提出一种高性能的实时细粒度植物病害检测框架。首先,在YOLOv8主干网络和颈部设计两个新的残差块,增强特征提取和降低计算成本;其次... 详细信息

为解决现有识别方法在植物病害检测中遇到的密集分布、不规则形态、多尺度目标类别、纹理相似性等障碍,提出一种高性能的实时细粒度植物病害检测框架。首先,在YOLOv8主干网络和颈部设计两个新的残差块,增强特征提取和降低计算成本;其次,引入DenseNet层,并使用Hard-Swish函数作为主要激活函数,以提高模型的准确性;最后,设计PANet网络,用于保留细粒度的局部信息和改善特征融合。在不同的复杂环境下,对番茄植株的四种不同病害进行检测。试验结果表明,所提改进模型在检测准确性和速度上均优于现有模型的检测模型。当检测速度为71.23 FPS时,所提改进模型精确度为92.58%,召回率为97.59%,F_(1)分数为93.64%。为精准农业自动化提供有效的技术手段。

关键词：植物病害检测改进YOLOv8 实时目标检测深度神经网络残差网络

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RSPSSL:A novel high-fidelity Raman spectral preprocessing scheme to enhance biomedical applications and chemical resolution visualization

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Light(science & Applications) 2024年第2期13卷 366-386页

作者： Jiaqi Hu Gina Jinna Chen Chenlong xue Pei Liang Yanqun Xiang Chuanlun Zhang Xiaokeng Chi Guoying Liu Yanfang Ye Dongyu Cui De Zhang Xiaojun yu Hong Dang wen Zhang Junfan Chen Quan Tang Penglai Guo Ho-Pui Ho Yuchao Li Longqing Cong Perry Ping Shum State Key Laboratory of Optical Fiber and Cable Manufacture Technology Guangdong Key Laboratory of Integrated Optoelectronics IntellisenseDepartment of EEESouthern University of Science and TechnologyShenzhen 518055China College of Optical and Electronic Technology China Jiliang UniversityHangzhou 310018China Department of Nasopharyngeal Carcinoma Sun Yat-sen University Cancer CenterState Key Laboratory of Oncology in South ChinaCollaborative Innovation Center for Cancer MedicineGuangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and TherapyGuangzhou 510060China Department of Ocean science and engineering Southern University of Science and TechnologyShenzhen 518055China Department of Nephrology Chaozhou People’s HospitalChaozhou 521011China Clinical Research Design Division Sun Yatsen Memorial HospitalGuangzhouGuangdong 510120China school of Automation Northwestern Polytechnical UniversityXi’anShaanxi 710072China Department of Biomedical engineering The Chinese University of Hong KongHong KongChina Guangdong Provincial Key Laboratory of Nanophotonic Manipulation Institute of NanophotonicsJinan UniversityGuangzhou 511443China

Raman spectroscopy has tremendous potential for material analysis with its molecular fingerprinting capability in many branches of science and *** is also an emerging omics technique for metabolic profiling to shape precision ***,precisely attributing vibration peaks coupled with specific environmental,instrumental,and specimen noise is *** Raman spectral preprocessing to remove statistical bias noise and sample-related errors should provide a powerful tool for valuable information ***,we propose a novel Raman spectral preprocessing scheme based on self-supervised learning(RSPSSL)with high capacity and spectral *** can preprocess arbitrary Raman spectra without further training at a speed of~1900 spectra per second without human *** experimental data preprocessing trial demonstrated its excellent capacity and signal fidelity with an 88%reduction in root mean square error and a 60%reduction in infinite norm(L__(∞))compared to established *** this advantage,it remarkably enhanced various biomedical applications with a 400%accuracy elevation(ΔAUC)in cancer diagnosis,an average 38%(few-shot)and 242%accuracy improvement in paraquat concentration prediction,and unsealed the chemical resolution of biomedical hyperspectral images,especially in the spectral fingerprint *** precisely preprocessed various Raman spectra from different spectroscopy devices,laboratories,and diverse *** scheme will enable biomedical mechanism screening with the label-free volumetric molecular imaging tool on organism and disease metabolomics profiling with a scenario of high throughput,cross-device,various analyte complexity,and diverse applications.

关键词： spectral scheme resolution