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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 *** study aimed to develop a deep learning model based on contrast-enhanced computed tomography(CT)images to assist radiologists in identifying ***: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)*** deep learning model was developed based on ResNet50 *** and clinical models were built based on support vector machine(SVM)*** comprehensively compared the performance of deep learning,radiomics,clinical models,and three ***: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 *** 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 *** 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 *** sensitivity of deep learning model was the highest both in the training[90%(95%CI:82%-96%)]and validation[85%(95%CI:68%-95%)]***: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

Fast X-ray imaging beamline at SSRF

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Nuclear Science and Techniques 2024年第9期35卷 68-81页

作者： Ke Li Hong-Lan Xie Ya-Nan Fu fei-xiang Wang Guo-Hao Du Jian-Feng ji Biao Deng Ti-Qiao Xiao Shanghai Synchrotron Radiation Facility Shanghai Advanced Research InstituteChinese Academy of SciencesShanghai 201204China

The fast X-ray imaging beamline(BL16U2)at Shanghai Synchrotron Radiation Facility(SSRF)is a new beamline that provides X-ray micro-imaging capabilities across a wide range of time scales,spanning from 100 ps toμs and *** beamline has been specifically designed to facilitate the investigation of a wide range of rapid phenomena,such as the deformation and failure of materials subjected to intense dynamic *** addition,it enables the study of high-pressure and high-speed fuel spray processes in automotive *** light source of this beamline is a cryogenic permanent magnet undulator(CPMU)that is cooled by liquid *** CPMU can generate X-ray photons within an energy range of 8.7-30 *** beamline offers two modes of operation:monochromatic beam mode with a liquid nitrogen-cooled double-crystal monochromator(DCM)and pink beam mode with the first crystal of the DCM out of the beam *** X-ray imaging methods were implemented in BL16U2:single-pulse ultrafast X-ray imaging,microsecond-resolved X-ray dynamic imaging,millisecond-resolved X-ray dynamic micro-CT,and high-resolution quantitative ***,BL16U2 is equipped with various in situ impact loading systems,such as a split Hopkinson bar system,light gas gun,and fuel spray *** the completion of the final commissioning in 2021 and subsequent trial operations in 2022,the beamline has been officially available to users from 2023.

关键词： Multiple time-scale X ray imaging Single-pulse X ray imaging Dynamic 2D imaging Dynamic micro-CT

Recent progress and strategies of cathodes toward polysulfides shuttle restriction for lithium-sulfur batteries

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Rare Metals 2024年第9期43卷 4132-4161页

作者： Xing-You Rao Shuang-fei xiang Jian Zhou Zhen Zhang xiang-Yu Xu Yuan-Yuan Xu Xin-Chi Zhou Zheng-Dao Pan Su-Chong Tan Shi-Xing Dong Zhou-Lu Wang Yu-Tong Wu Yun-Lei Zhou xiang Liu Yi Zhang Shan Jiang School of Energy Sciences and Engineering Nanjing Tech University School of Materials Science and Engineering and Institute of Smart Fiber Materials Zhejiang Sci-Tech University JiangSu Sailboat Petrochemical Co. Ltd Hangzhou Institute of Technology Xidian University

Lithium-sulfur batteries(LSBs) have already developed into one of the most promising new-generation high-energy density electrochemical energy storage systems with outstanding features including high-energy density, low cost, and environmental friendliness. However, the development and commercialization path of LSBs still presents significant limitations and challenges, particularly the notorious shuttle effect triggered by soluble longchain lithium polysulfides(LiPSs), which inevitably leads to low utilization of cathode active sulfur and high battery capacity degradation, short cycle life, etc. Substantial research efforts have been conducted to develop various sulfur host materials capable of effectively restricting the shuttle effect. This review firstly introduces the fundamental electrochemical aspects of LSBs, followed by a comprehensive analysis of the mechanism underlying the shuttle effect in Li–S batteries and its profound influence on various battery components as well as the overall battery performance. Subsequently, recent advances and strategies are systematically reviewed, including physical confinement, chemisorption, and catalytic conversion of sulfur hosts for restricting LiPSs shuttle effects. The interplay mechanisms of sulfur hosts and LiPSs are discussed in detail and the structural advantages of different host materials are highlighted. Furthermore, key insights for the rational design of advanced host materials for LSBs are provided, and the upcoming challenges and the prospects for sulfur host materials in lithium-sulfur batteries are also explored.

关键词： Host Lithium-sulfur batteries Polysulfides Shuttle effect

中国式现代化视域下饲料粮供给体系升级路径探析

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饲料研究 2024年第3期47卷 187-190页

作者：李向妃河南质量工程职业学院河南平顶山467000

随着中国式现代化发展的逐步深入,饲料粮产业通过前沿生物技术实现减量替代、提质扩优,切实推动饲料粮供给体系升级,为保障国家饲料粮供给安全提供保障。从现实基础层面解读,在中国式现代化视域下促进饲料粮供给体系升级是饲料粮产业在... 详细信息

随着中国式现代化发展的逐步深入,饲料粮产业通过前沿生物技术实现减量替代、提质扩优,切实推动饲料粮供给体系升级,为保障国家饲料粮供给安全提供保障。从现实基础层面解读,在中国式现代化视域下促进饲料粮供给体系升级是饲料粮产业在政策指导文件指引、科学技术创新支持与产品结构调整下的有益实践。从价值意蕴层面透析,面向中国式现代化建设任务的饲料粮供给体系升级有利于实现国家粮食安全、破解养殖业结构矛盾及提升饲料行业市场应变能力。文章提出完善支持保障体系,创设良好发展环境;嵌入新型科学技术,提供科技支撑;打造合作组织联盟,奠定雄厚主体基础的实现路径,探索饲料粮供给体系升级进路,在加速推进中国式现代化的时代背景下提高饲料粮稳产保供水平。

关键词：中国式现代化粮食安全饲料粮供给体系

就业生态视域下绿色创新人才数字韧性的本土建构

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理论与现代化 2024年第2期 65-79页

作者：相飞齐鲁工业大学(山东省科学院)经济与管理学部

“双碳”战略实施迫切需要绿色化创新发展,绿色创新人才高质量充分就业为此提供了重要保障。数字技术作为创新驱动的引擎,在赋能创新价值实现的同时,结合就业生态特征,也给创新人才数字韧性建构带来新的挑战。数字韧性能够在一定程度上... 详细信息

“双碳”战略实施迫切需要绿色化创新发展,绿色创新人才高质量充分就业为此提供了重要保障。数字技术作为创新驱动的引擎,在赋能创新价值实现的同时,结合就业生态特征,也给创新人才数字韧性建构带来新的挑战。数字韧性能够在一定程度上减少数字风险带来的损伤,帮助个体更好地适应数字化生活。本文采用扎根理论方法探析绿色创新人才数字韧性内涵,提出包含数字心理韧性、数字行为韧性、数字技术韧性、数字环境韧性4个风险应对维度及其12个构面,以及“数字心理韧性→自主韧性”“数字行为韧性→自主韧性”“数字技术韧性→培育韧性”“数字环境韧性→治理韧性”共促数字韧性建构的内涵要素模型。从就业生态视角来看,源自个体、学校、社会等各方面的因素,都会不同程度影响数字韧性,使个体形成应对绿色化数字化环境中风险挑战的复原力。本文结合当前就业生态环境对绿色创新人才就业的影响,提出促进数字韧性建构、进一步推动该类人才高质量充分就业,从而助推“双碳”战略实施的建议。

关键词： “双碳”战略就业生态绿色创新人才数字韧性

Ordered mesoporous nanofibers mimicking vascular bundles for lithium metal batteries

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National Science Review 2024年第05期 291-302页

作者： Xiaohang Zhu Mengmeng Liu Fanxing Bu Xin-Yang Yue xiang fei Yong-Ning Zhou Anqi Ju Jianping Yang Pengpeng Qiu Qi Xiao Chao Lin Wan Jiang Lianjun Wang Xiaopeng Li Wei Luo State Key Laboratory for Modification of Chemical Fibers and Polymer Materials Institute of Functional Materials College of Materials Science and Engineering Donghua University Institute for Conservation of Cultural Heritage Shanghai University Frontiers Science Center for Transformative Molecules School of Chemistry and Chemical EngineeringShanghai Jiao Tong University Department of Materials Science Fudan University

Hierarchical self-assembly with long-range order above centimeters widely exists in nature. Mimicking similar structures to promote reaction kinetics of electrochemical energy devices is of immense interest, yet remains challenging. Here, we report a bottom-up self-assembly approach to constructing ordered mesoporous nanofibers with a structure resembling vascular bundles via electrospinning. The synthesis involves self-assembling polystyrene（PS） homopolymer, amphiphilic diblock copolymer, and precursors into supramolecular micelles. Elongational dynamics of viscoelastic micelle solution together with fast solvent evaporation during electrospinning cause simultaneous close packing and uniaxial stretching of micelles, consequently producing polymer nanofibers consisting of oriented micelles. The method is versatile for the fabrication of large-scale ordered mesoporous nanofibers with adjustable pore diameter and various compositions such as carbon, SiO2, TiO2and WO3. The aligned longitudinal mesopores connected side-by-side by tiny pores offer highly exposed active sites and expedite electron/ion transport. The assembled electrodes deliver outstanding performance for lithium metal batteries.

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数字化背景下推动高校资产管理信息化路径

辽宁高职学报 2024年第8期26卷 109-112页

作者：曾祥菲盘锦职业技术学院辽宁盘锦124000

在数字化背景下,目前高校的国有资产管理存在对信息化建设的重要性认识不足、缺乏顶层设计、缺乏统一数据规划等问题,对此提出高校管理信息化的发展路径:一是精准管理教育资源,优化资源配置;二是重组教育要素与模式;三是打造智慧教育服... 详细信息

在数字化背景下,目前高校的国有资产管理存在对信息化建设的重要性认识不足、缺乏顶层设计、缺乏统一数据规划等问题,对此提出高校管理信息化的发展路径:一是精准管理教育资源,优化资源配置;二是重组教育要素与模式;三是打造智慧教育服务新体系;四是充分发挥教育大数据效能。

关键词：高校资产数字化信息化管理

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不同花生品种水煮加工适宜性评价方法与指标

中国食品学报 2024年第8期24卷 422-434页

作者：赵赓九向飞徐绍文谭家壮汪娅梅王强中国农业科学院农产品加工研究所、农业农村部粮油加工综合利用技术集成实验室北京100193 中国农业科学院西部农业研究中心新疆昌吉831100 浚县农业农村局河南鹤壁458000 湛江市农业科学研究院广东湛江524094

目前,市场上水煮花生品种杂乱、评价标准模糊,且不同品种的水煮花生品质差异大,亟需进行不同花生品种水煮加工适宜性评价,建立相应评价方法和指标,为水煮花生加工适宜性评价提供参考依据,助力水煮花生产业高质量发展。本研究充分评价23... 详细信息

目前,市场上水煮花生品种杂乱、评价标准模糊,且不同品种的水煮花生品质差异大,亟需进行不同花生品种水煮加工适宜性评价,建立相应评价方法和指标,为水煮花生加工适宜性评价提供参考依据,助力水煮花生产业高质量发展。本研究充分评价23个鲜食花生基本营养物质组成和水煮花生品质指标,利用层次聚类分析、相关性分析和逻辑回归模型建立了水煮花生加工适宜性评价方法与指标,筛选出适宜水煮的加工专用品种。确定水煮花生品质一级标准:水煮花生荚果长29.13~36.37 mm、荚果宽15.38~15.87 mm、硬度3137.35~3363.29 g、蛋白质含量23.01~24.14 g/100 g、蔗糖含量3.55~5.19 g/100 g。筛选确定了5个显著相关变量:脂肪、蛋白质、蔗糖、粗纤维、精氨酸含量,P<0.05。利用逻辑回归建立水煮花生适宜性评价模型,内部验证准确率为91.30%;建立水煮花生加工适宜性评价方法与指标,筛选出适宜加工水煮花生的专用品种6个(1,7,8,9,10,19)。

关键词：鲜食花生原料水煮花生相关性分析加工适宜性

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福山区樱桃产业发展现状与对策建议

园艺与种苗 2024年第8期44卷 36-37,102页

作者：李翔飞烟台市福山区林业局山东烟台265500

立足烟台市福山区大樱桃产业发展,从提升品质、培育品牌、设施栽培、规模经营、拓宽市场、采摘游等方面,对福山区大樱桃生产中存在的问题及难题进行调研,探讨建议与对策,以期为深入推进福山区樱桃产业发展提供参考。

关键词：福山区樱桃产业调查与思考