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Effect of B2O3 on the aqueous tape casting and microwave properties of li2O-Nb2O5-TiO2 ceramics

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Progress in Natural Science:Materials International 2013年第2期23卷 152-156页

作者： shaochun li Qilong Zhang Tiejun Zhao Hui Yang School of Civil Engineering Qingdao Technological University Department of Materials Science and Engineering Zhejiang University

The effect of B2O3 addition on the aqueous tape casting, sintering, microstructure and microwave dielectric properties of li2O-Nb2O5-TiO2 ceramics has been investigated. The tape casting slurries exhibit a typical shear-thinning behavior without thixotropy, but the addition of B2O3 increases the viscosity of the slurries significantly. It was found that doping of B2O3 can decrease the tensile strength, strain to failure and density of the green tapes. The sintering temperature could be lowed down to 900℃ with the addition of 2 wt% B2O3 due to the liquid phase effect. No secondary phase is observed. The addition of B2O3 does not induce much degradation on the microwave dielectric properties. Optimum microwave dielectric properties of εr 67, Q×f 6560 GHz are obtained for li2O-Nb2O5-TiO2 ceramics containing 2 wt% B2O3 sintered at 900 1C. It represents that the ceramics could be promising for multilayer low-temperature co-fired ceramics (LTCC) application.

关键词： Aqueous tape casting B2O3 Rheology Microwave dielectric properties

An exploration in remote blood pressure management:Application of daily routine pattern based on mobile data in health management

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Fundamental Research 2022年第1期2卷 154-165页

作者： Yidan Xiang shaochun li Pengzhu Zhang Antai College of Economics and Management Shanghai Jiao Tong UniversityShanghai 200240China

Blood pressure(BP)is an important indicator of an individuaPs health status and is closely related to daily ***,a continuous daily measurement of BP is critical for hypertension *** assist continuous measurement,BP prediction based on non-physiological data(ubiquitous mobile phone data)was studied in the *** algorithm was proposed that predicts BP based on patients'daily routine,which includes activities such as sleep,work,and *** aim of the research is to provide insight into the application of mobile data in telemonitoring and the continuous unobtrusive daily measurement of BP.A half-year data set from October 2017 of 320 individuals,including telecom data and BP measurement data,was *** hierarchical Bayesian topic models were used to extract individuals,location-driven daily routine patterns(topics)and calculate probabilities among these topics from their day-level mobile *** on the topic probability distribution and patients'contextual data,their BP were predicted using different *** prediction model comparison shows that the long short-term memory(LSTM)method exceeds others when the data has a high ***,the Random Forest regression model outperforms the LSTM ***,the experimental results validate the effectiveness of the topics in BP prediction.

关键词： Daily routine Blood pressure prediction Telemedicine Machine learning

A Simple Deep Learning Network for Classification of 3D Mobile liDAR Point Clouds

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Journal of Geodesy and Geoinformation Science 2021年第3期4卷 49-59页

作者： Yanjun WANG shaochun li Mengjie WANG Yunhao liN Hunan Provincial Key Laboratory of Geo-Information Engineering in Surveying Mapping and Remote SensingHunan University of Science and TechnologyXiangtan 411201China National-local Joint Engineering Laboratory of Geo-spatial Information Technology Hunan University of Science and TechnologyXiangtan 411201China School of Resource Environment and Safety Engineering Hunan University of Science and TechnologyXiangtan 411201China

Automatic and accurate classification is a fundamental problem to the analysis and modeling of liDAR(light Detection and Ranging)***,convolutional neural network(ConvNet or CNN)has achieved remarkable performance in image recognition and computer *** significant efforts have also been made to develop various deep networks for satellite image scene classification,it still needs to further investigate suitable deep learning network frameworks for 3D dense mobile laser scanning(MLS)*** this paper,we present a simple deep CNN for multiple object classification based on multi-scale context *** the pointwise classification,we first extracted the neighboring points within spatial context and transformed them into a three-channel image for each ***,the classification task can be treated as the image recognition using *** proposed CNN architecture adopted common convolution,maximum pooling and rectified linear unit(ReLU)layers,which combined multiple deeper network *** being trained and tested on approximately seven million labeled MLS points,the deep CNN model can classify accurately into nine *** with the widely used ResNet algorithm,this model performs better precision and recall rates,and less processing time,which indicated the significant potential of deep-learning-based methods in MLS data classification.

关键词： deep learning convolutional neural network(CNN) mobile laser scanning(MLS) liDAR data classification point-to-image transformation

A WT-STFT combining Algorithm

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International Journal of Minerals,Metallurgy and Materials 2000年第4期14卷 315-317页

作者： Xisheng li, shaochun Wang (Information Engineering School, University of Science and Technology Beijing, Beijing 100083, China) Information Engineering School University of Science and Technology Beijing Beijing 100083 China

A fast wavelet packet (WP) algorithm is presented, in which the wavelet transform (WT) and the short-time Fourier transform (STFT) are combined. As WT produces multiresolution of frequency and time, and STFT has a fas... 详细信息

关键词： signal processing, wavelet transform short-time Fourier transform Informatid

Turning ZrTe_5 into a semiconductor through atom intercalation

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Science China(Physics,Mechanics & Astronomy) 2019年第6期62卷 102-107页

作者： QiYuan li YangYang Lv JingHui Wang Song Bao Wei Shi li Zhu WeiMin Zhao ChengLong Xue ZhenYu Jia liBo Gao YanBin Chen JinSheng Wen YanFeng Chen shaochun li National Laboratory of Solid State Microstructures School of Physics Nanjing University National Laboratory of Solid State Microstructures Department of Materials Science and Engineering Nanjing University Collaborative Innovation Center of Advanced Microstructures Nanjing University

In this study we successfully intercalated potassium(K) atoms into single ZrTe_5 crystals by liquid ammonia method, and found a semimetal-to-semiconductor transition at low temperatures in K-intercalated ZrTe_5. As the K concentration increased, the resistance anomalous peak was gradually suppressed until finally disappearing. Whilst, the corresponding Hall resistance measurements consistently showed a sign reversal. The semimetal-to-semiconductor transition can be attributed to a lattice expansion induced by atom intercalation, leading to a larger energy band gap.

关键词： ZrTe5 atom intercalation topological insulator magnetoresistance Hall resistance

Progress of Triglyceride Glucose Index in Lesion Severity and Prognosis of Acute Coronary Syndromes

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Journal of Biosciences and Medicines 2024年第8期12卷 244-257页

作者： shaochun li Pei Hu Department of Cardiology Jingzhou Hospital Affiliated to Yangtze University Jingzhou China

Background: In response to the escalating burden of cardiovascular diseases (CVDs) worldwide, exacerbated by lifestyle changes and socioeconomic shifts, acute coronary syndromes (ACS) stand out as a leading cause of morbidity and mortality. The pivotal role of insulin resistance in the pathogenesis of atherosclerosis, independent of traditional risk factors, has garnered significant interest. Objective: This review aims to synthesize the recent advancements in the utilization of the triglyceride glucose index (TyG index) as a biomarker for assessing the severity and predicting the prognosis of ACS lesions. Methods: A systematic search was conducted across PubMed, Embase, and Scopus databases, incorporating keywords such as “triglyceride glucose index”, “TyG index”, “acute coronary syndrome”, “cardiovascular disease”, “insulin resistance”, “coronary artery calcification”, “SYNTAX score”, “Gensini score”, and “major adverse cardiac events”. Studies were included from the inception of each database up to July 2024. Selection criteria encompassed observational studies, case-control studies, and randomized controlled trials, with a particular emphasis on evaluating the diagnostic and prognostic value of the TyG index in patients with acute coronary syndromes. Ultimately, 46 publications met the inclusion criteria. Data extraction and quality assessment were performed in accordance with established guidelines. Results: Evidence suggests that the TyG index, reflecting insulin resistance, blood glucose, and lipid levels, is significantly associated with lesion severity in ACS, including coronary artery calcification, SYNTAX score, and Gensini score. Moreover, it demonstrates predictive power for major adverse cardiovascular events, underscoring its potential as a valuable tool in clinical decision-making. Conclusion: The review highlights the emerging role of the TyG index in the assessment and prognosis of ACS, advocating for its incorporation into clinical practice as a c

关键词： Triglyceride Glucose Index Insulin Resistance Acute Coronary Syndrome

凝胶注模成型工艺制备SiC_w/Al_2O_3陶瓷复合材料的性能研究(英文)

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稀有金属材料与工程 2008年第A2期37卷 525-528页

作者：李绍纯戴长虹浙江大学材料科学与工程学学院浙江杭州310027 青岛理工大学环境与工程学院山东青岛266033

对SiCw/Al2O3陶瓷的低粘度、高固相体积分数浓悬浮体的制备以及凝胶注模成型后坯体的性能和显微结构进行了研究,着重分析了长径比不同的2种SiC晶须及其添加量对坯体性能的影响。结果表明,坯体的相对密度、抗弯强度与SiC晶须的长径比和... 详细信息

对SiCw/Al2O3陶瓷的低粘度、高固相体积分数浓悬浮体的制备以及凝胶注模成型后坯体的性能和显微结构进行了研究,着重分析了长径比不同的2种SiC晶须及其添加量对坯体性能的影响。结果表明,坯体的相对密度、抗弯强度与SiC晶须的长径比和添加量有关,浆料的粘度随着晶须长径比和添加量的增大而增加。坯体的抗弯强度随着晶须添加量的增加呈现一种先上升后下降的趋势。凝胶注模成型后坯体结构均匀、致密,相对密度为60%,抗弯曲强度达38.5 MPa。通过显微结构观察,裂纹偏转、晶须拔出和晶须桥连是晶须增强的主要机制。

关键词： SiC晶须 SiCw/Al2O3陶瓷复合材料凝胶注模

一种自适应的混合型无线传感器网络拓扑控制算法

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传感技术学报 2010年第3期23卷 428-433页

作者：李少春程良伦广东工业大学自动化学院控制网络与系统研究所广州510006

针对特定应用场合的混合型拓扑控制算法是W SN拓扑控制领域的研究热点之一。在研究经典的面向事件驱动型网络拓扑控制算法—ASCENT基础上,提出了一种自适应的混合型拓扑控制算法—AHTC算法。针对大规模事件驱动型网络场景应用,解决了ASC... 详细信息

针对特定应用场合的混合型拓扑控制算法是W SN拓扑控制领域的研究热点之一。在研究经典的面向事件驱动型网络拓扑控制算法—ASCENT基础上,提出了一种自适应的混合型拓扑控制算法—AHTC算法。针对大规模事件驱动型网络场景应用,解决了ASCNET算法不能适应于大规模网络、未考虑节点剩余能量、网络丢包率高等问题。仿真结果表明,改进的算法有更好的节能性和稳定性。

关键词：无线传感器网络拓扑控制自适应混合型 ASCENT AHTC

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从我国疝和腹壁外科的历史谈今后的发展

中国普通外科杂志 2023年第10期32卷 1445-1452页

作者：唐健雄李绍春复旦大学附属华东医院普通外科上海200040

我国对于疝病的认知可追溯到数百年前,经过一代又一代外科医师的不断努力,我国在指南和共识的制定、规范化培训制度的建立、疝病随访系统的建立,以及疝病诊疗质量控制等方面取得了长足的进步。中国目前已在疝病诊疗领域走在了世界的前列... 详细信息

我国对于疝病的认知可追溯到数百年前,经过一代又一代外科医师的不断努力,我国在指南和共识的制定、规范化培训制度的建立、疝病随访系统的建立,以及疝病诊疗质量控制等方面取得了长足的进步。中国目前已在疝病诊疗领域走在了世界的前列,但同时也应该看到在一些复杂疝病方面还需要创新性的开拓,如在腹壁重建技术革新、修复材料科学的发展等方面仍需要进一步努力。如何实现腹壁结构和功能的完整性的统一,材料科学应该是一个突破口。当然我们也应该清醒认识到自身的不足,如疝病专科化、基层外科医生技术水平良莠不齐等短板都亟待进一步解决。另外,如何有效结合机器人手术技术的推广、人工智能、4G网络等信息化技术,都将成为未来造福我国广大疝病患者需要进一步努力发展的方向。

关键词：疝,腹部疝修补术外科网材料科学