检索结果-南通市图书馆

Defect promoted photothermoelectric effect in densely aligned ZnO nanorod arrays for self-powered position-sensitive photodetection

引用

Journal of Materiomics 2022年第3期8卷 693-701页

作者： Xinxin Du Weiliang Tian Ziqi Zhang Bin Hui jiahui pan Jianhua Sun Kewei Zhang State Key Laboratory of Bio-Fibers and Eco-Textiles Collaborative Innovation Center for Marine Biomass FibersMaterials and Textiles of Shandong ProvinceCollege of Materials Science and EngineeringInstitute of Marine Biobased MaterialsQingdao UniversityQingdao266071China Key Laboratory of Chemical Engineering in South Xinjiang College of Life ScienceTarim UniversityAlar843300China Guangxi Key Laboratory of Petrochemical Resource Processing and Process Intensification Technology Guangxi UniversityNanning530004China

Sustainable light energy from ambient environment has attracted particular attention to meet the evergrowing need of small-scale electronics.The modulation of intercorrelated thermal and electronic transport is one of the crucial aspects for reliable photothermoelectric electronics.Herein,a defectpromoted photothermoelectric effect is demonstrated in densely aligned ZnO nanorod array with rich lattice defects.The defect-rich ZnO device delivers high electrical conductivity and large Seebeck coefficient to enable significant improvement of photothermoelectric energy conversion and self-powered photodetection.The position sensitivity reaches approximately 0.19 mV mm^(-1),and the temperature gradient induced electric field makes up for the suppression in the photothermoelectric process.The synergism between intrinsic defects and extra temperature field plays an important role in promoting the photothermoelectric properties of dense ZnO nanorod array.This study is interesting for interpreting the thermo-phototronic phenomena as well as demonstrating the possibility of defect engineering and phonon engineering to enable highly efficient light energy scavenging and self-powered photodetection.

关键词： Defect-rich ZnO Photodetectors Light energy Photothermoelectric Self-powered

来源：

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

支持亿级数据的高效密文范围查询完整性验证

引用

模式识别与人工智能 2024年第1期37卷 27-46页

作者：王肇康潘佳辉周璐南京航空航天大学计算机科学与技术学院南京211106

密文查询的完整性验证机制能在保护人工智能应用数据隐私的同时,为查询结果的可靠性提供保证.然而,现有针对密文范围查询的完整性验证方法存在验证数据结构构建开销较高、数据可扩展性较差的缺陷.为此,文中分析ServeDB(Secure Verifiabl... 详细信息

密文查询的完整性验证机制能在保护人工智能应用数据隐私的同时,为查询结果的可靠性提供保证.然而,现有针对密文范围查询的完整性验证方法存在验证数据结构构建开销较高、数据可扩展性较差的缺陷.为此,文中分析ServeDB(Secure Verifiable and Efficient Framework)计算性能瓶颈产生的原因,并基于分析结论提出基于立方格索引的密文范围查询完整性验证方法(Cube-Cell-Based Authentication Tree,CubeTree).CubeTree采用基于分位数归一化的数据重分布优化方法,平衡数据记录在值域空间中的分布,降低数据记录的编码开销.进一步提出基于平衡K叉树的扁平化结构以及基于立方格索引的验证数据结构,合并具有相同编码的数据记录,采用立方格作为基本验证单元,大幅降低验证数据结构的冗余性,减少构造过程的计算与存储开销.在真实数据集与合成数据集上的实验表明,CubeTree能显著降低验证数据结构的构建开销以及查询完整性证明的生成与校验开销,并可高效处理亿级规模的大型数据集.

关键词：应用安全密文范围查询查询完整性验证验证数据结构立方格索引

来源：

维普期刊数据库

同方期刊数据库评论

在线全文

学校读者我要写书评

暂无评论

An Efficient Sleep Spindle Detection Algorithm Based on MP and LSBoost

引用

Computers, Materials & Continua 2023年第8期76卷 2301-2316页

作者： Fei Wang Li Li Yinxing Wan Zhuorong Li Lixian Luo Bangshun Hu jiahui pan Zhenfu Wen Haiyun Huang School of Software South China Normal UniversityFoshan528225China Pazhou Lab Guangzhou510330China School of Biomedical Sciences and Engineering South China University of TechnologyGuangzhou510650China Department of Psychiatry New York University School of MedicineNew York10016USA

Sleep spindles are an electroencephalogram(EEG)biomarker of non-rapid eye movement(NREM)sleep and have important implications for clinical diagnosis and prognosis.However,it is challenging to accurately detect sleep spindles due to the complexity of the human brain and the uncertainty of neural mechanisms.To improve the reliability and objectivity of sleep spindle detection and to compensate for the limitations of manual annotation,this study proposes a new automatic detection algorithm based on Matching Pursuit(MP)and Least Squares Boosting(LSBoost),where the automatic sleep spindle detection algorithm can help reduce the visual annotation workload of sleep clinicians.Specifically,MP is a time-frequency analysis method suitable for extracting spindle wave characteristics,which can accurately locate spindle waves on a time-frequency plane.LSBoost is an ensemble learning classification method to deal with unbalanced data.Initially,theMP method is used to search for EEG segments that are possible spindle waves from the filtered raw EEG data.Then,the designed feature segments are thrown into the LSBoost classifier to further identify the real spindles from all candidates and output the final results.The proposed method is verified on the common public dataset DREAMS.The experiment results showthat the sensitivity and F1-scores based on the sample-based assessments achieve 68.2% and 55.4%,respectively.Furthermore,the Recall and F1-score based on the event assessments are 83.8% and 70.8%,respectively.These results show that the proposed algorithm is robust to the subject changes in the DREAMS dataset.In addition,it improves the quality of sleep spindle detection,which is expected to assist the manual marking of experts.

关键词： Sleep spindles detection EEG sleep

来源：

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Recent Advances in Fatigue Detection Algorithm Based on EEG

引用

Intelligent Automation & Soft Computing 2023年第3期35卷 3573-3586页

作者： Fei Wang Yinxing Wan Man Li Haiyun Huang Li Li Xueying Hou jiahui pan Zhenfu Wen Jingcong Li School of Software South China Normal UniversityFoShan528225China Pazhou Lab Guangzhou510330China Department of Psychiatry New York University School of MedicineNew York10016USA

Fatigue is a state commonly caused by overworked,which seriously affects daily work and life.How to detect mental fatigue has always been a hot spot for researchers to explore.Electroencephalogram(EEG)is considered one of the most accurate and objective indicators.This article investigated the devel-opment of classiﬁcation algorithms applied in EEG-based fatigue detection in recent years.According to the different source of the data,we can divide these classiﬁcation algorithms into two categories,intra-subject(within the same sub-ject)and cross-subject(across different subjects).In most studies,traditional machine learning algorithms with artiﬁcial feature extraction methods were com-monly used for fatigue detection as intra-subject algorithms.Besides,deep learn-ing algorithms have been applied to fatigue detection and could achieve effective result based on large-scale dataset.However,it is difﬁcult to perform long-term calibration training on the subjects in practical applications.With the lack of large samples,transfer learning algorithms as a cross-subject algorithm could promote the practical application of fatigue detection methods.We found that the research based on deep learning and transfer learning has gradually increased in recent years.But as aﬁeld with increasing requirements,researchers still need to con-tinue to explore efﬁcient decoding algorithms,design effective experimental para-digms,and collect and accumulate valid standard data,to achieve fast and accurate fatigue detection methods or systems to further widely apply.

关键词： EEG fatigue detection deep learning machine learning transfer learning

来源：

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Visual Fixation Assessment in Patients with Disorders of Consciousness Based on Brain-Computer Interface

引用

Neuroscience Bulletin 2018年第4期34卷 679-690页

作者： Jun Xiao jiahui pan Yanbin He Qiuyou Xie Tianyou Yu Haiyun Huang Wei Lv Jiechun Zhang Ronghao Yu Yuanqing Li Center for Brain Computer Interfaces and Brain Information Processing South China University of Technology Coma Research Group Centre for Hyperbaric Oxygen and Neurorehabilitation General Hospital of Guangzhou Military Command

Visual fixation is an item in the visual function subscale of the Coma Recovery Scale-Revised （CRS-R）. Sometimes clinicians using the behavioral scales find it difficult to detect because of the motor impairment in patients with disorders of consciousness （DOCs）. Brain- computer interface （BCI） can be used to improve clinical assessment because it directly detects the brain response to an external stimulus in the absence of behavioral expres- sion. In this study, we designed a BCI system to assist the visual fixation assessment of DOC patients. The results from 15 patients indicated that three showed visual fixation in both CRS-R and BCI assessments and one did not show such behavior in the CRS-R assessment but achieved significant online accuracy in the BCI assessment. The results revealed that electroencephalography-based BCI can detect the brain response for visual fixation. Therefore, the proposed BCI may provide a promising method for assisting behavioral assessment using the CRS-R.

关键词： Visual fixation Brain-computer interface Disorder of consciousness Coma recovery scale-revised Electroencephalography

来源：

维普期刊数据库

同方期刊数据库评论

在线全文

学校读者我要写书评

暂无评论

cFUT8 promotes liver cancer progression by miR-548c/FUT8 axis

引用

Signal Transduction and Targeted Therapy 2021年第2期6卷 242-244页

作者： Chong Li Zhuoyuan Xin Luyun He Jing Ning Kaisu Lin jiahui pan Jagannatha Rao Guoqing Wang Hong Zhu Key Laboratory of Zoonosis Research Ministry of EducationCollge of Basic Medical ScienceJilin University130021 ChangchunChina Institute of Biophysics Chinese Academy of Sciences100101 BeijingChina Department of Oncology The First Afliated Hospital of Soochow University215006 SuzhouChina Instituto de Investigaciones Cientificas y Servicios de Alta Tecnologia Asociacidn de Interes Publico(INDICASAT-AIP)Panama CityRepublic of Panama

Dear Editor,Hepatocellular carcinoma(HCC)is a serious and lethal maig-nancy.According to the global cancer statistics of 2018(GLOBOCAN 2018)provided by the World Health Organization,HCC led to an estimated 781,631 deaths in 2018,comprising 8.2%of the global cancer mortality burden.Despite improvements in the HCC survival rate,most patients still suffer from metastases and recurrence within 5 years post-surgery.And it is the unclear molecular pathogenesis that hampers the control of HCC.The discovery of circular RNAs(circRNAs)has the potential to provide new opportunities but also presents several new challenges.

关键词： cancer mortality surgery

来源：

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

基于互联网+动态模型的粮食综合评价体系

引用

计算机与数字工程 2024年第3期52卷 711-717页

作者：刘诗情曲超潘家辉华南师范大学软件学院佛山528225

论文将互联网平台与粮食系统跨界融合,构建了基于互联网+动态模型的粮食综合评价指标体系。该体系借助Hadoop进行大数据处理来源于联合国开发署网站的数据集,对可持续性、公平性、效率、盈利能力四个一级指标分别用不同算法进行评价;利... 详细信息

论文将互联网平台与粮食系统跨界融合,构建了基于互联网+动态模型的粮食综合评价指标体系。该体系借助Hadoop进行大数据处理来源于联合国开发署网站的数据集,对可持续性、公平性、效率、盈利能力四个一级指标分别用不同算法进行评价;利用层次分析法计算综合评价得分;对一级指标的影响因素分别建立线性回归模型并判断显著性;通过动态模型建立常微分方程模型dx/dt=-k(x-A)并求特解,以改进和预测该体系更改回归模型变量的目标值后何时能实现。用该评价体系对中国和澳大利亚的粮食体系评估与结果可视化。结果表明,该优化后的评价体系能通过指标发展趋势分析出决定粮食安全的主要因素,得出总体评价且避免了总体水平掩盖个别指标的状况,且能利用互联网的特性动态更新数据集与模型结果。

关键词：互联网+ 综合评价指标体系线性回归动态模型

来源：

维普期刊数据库

同方期刊数据库评论

在线全文

学校读者我要写书评

暂无评论

Epidemiologic and clinical characteristics of 42 deaths caused by SARS-CoV-2 infection in Wuhan, China: A retrospective study

引用

Biosafety and Health 2020年第3期2卷 164-168页

作者： Nan Zhang Haochen Yao Dong Zhang jiahui pan Ejun Peng Juanjuan Huang Yingli Zhang Xiaoming Xu Guobao Tian Hong Xu Guoqing Wang The First Hospital of Jilin University Changchun 130021China Department of Pathogenobiology The Key Laboratory of ZoonosisChinese Ministry of EducationCollege of Basic Medical ScienceJilin UniversityChangchun 130021China Tongji Hospital Tongji Medical CollegeHuazhong University of Science and TechnologyWuhan 430030China Sun Yat-sen University Zhongshan School of Medicine Guangzhou 510275China

This study described the epidemiologic and clinical characteristics of patients who died from severe acute respiratory syndrome coronavirus 2(SARS-CoV-2)infection,and pointed out the potential risk factors associated with fatal outcomes.Retrospective data from 42 death cases due to SARS-CoV-2 infection at Tongji Hospital Affiliated to Huazhong University of Science and Technology,Wuhan,China was analyzed.Demographics,clinical detection,laboratory findings,and treatments of the deceased were collected and analyzed.The average time between onset of symptoms and admission to the hospitals was 11±5 days of hospitalization.Among the deceased,60%were with co-morbidities.All of them were having fever and bilateral pneumonia on computed tomography,abnormal infection-related biomarkers,and renal impairment.Abnormal blood coagulation parameters that appeared in more than half of them,were consistent with disseminated intravascular coagulation.All of the patients were treated in the ICU.Based on the fact that SARS-CoV-2 infection carries a risk of mortality,we may infer a few older male patients with underlying comorbidities are likely to have the increased risk.Impaired consciousness level,markers of renal impairment and coagulation abnormalities may be poor prognostic factors.

关键词： SARS-CoV-2 COVID-19 Death cases Epidemiology Clinical characteristics Risk factors

来源：

维普期刊数据库

同方期刊数据库评论

在线全文

学校读者我要写书评

暂无评论

基于网络药理学研究沉香在睡眠障碍及焦虑疾病中的作用机制

引用

西北药学杂志 2024年第3期39卷 40-45页

作者：张光彩雷贝贝潘佳慧海南省中医院康复科海口570203 海南医学院附属中医院海口570203 广东省中医院海南医院海口570203

目的用网络药理学探讨沉香在睡眠障碍及焦虑疾病中的作用机制。方法在Tcmsp和Herb数据库中搜索并下载沉香对应的小分子化合物的数据,然后从Herb数据库中搜索并下载小分子化合物对应的靶基因及睡眠障碍和焦虑(sleep disorders and anxie... 详细信息

目的用网络药理学探讨沉香在睡眠障碍及焦虑疾病中的作用机制。方法在Tcmsp和Herb数据库中搜索并下载沉香对应的小分子化合物的数据,然后从Herb数据库中搜索并下载小分子化合物对应的靶基因及睡眠障碍和焦虑(sleep disorders and anxiety)对应的靶基因,并用Cytoscape构建药物-成分-靶点-疾病网络。基于Gene Ontology(GO)数据库、KEGG Pathway Database生物化学通路的数据库,对候选基因进行功能富集分析,用STRING进行蛋白质之间交互作用关系(protein-protein interaction,PPI)分析。结果筛选得到沉香的小分子化合物112个,获得其相对应的靶点,自Herb数据库中搜索得到睡眠障碍及焦虑对应点基因831个,得到成分与疾病关键靶点82个。其中zoomaric acid,6,7-dimethoxy-2-(27-phenylethyl)chromone,acetic acid可能是沉香治疗睡眠障碍及焦虑的重要成分;SRC、CTNNB1、TNF、PPARG、FOS等基因可能是沉香治疗睡眠障碍及焦虑的重要潜在靶点。GO富集分析结果显示,靶点涉及1279个生物过程条目、97个细胞成分条目、123个分子功能条目。KEGG共富集到116条通路,主要涉及癌症通路、多巴胺能突触、脂质与动脉粥样硬化、乳腺癌等关键通路。结论沉香中的zoomaric acid,6,7-dimethoxy-2-(27-phenylethyl)chromone,acetic acid可能是治疗焦虑及睡眠障碍的成分,活性成分可能通过作用于SRC、CTNNB1、TNF、PPARG、FOS靶点发挥治疗焦虑及睡眠障碍的作用。

关键词：网络药理学沉香睡眠障碍焦虑

来源：

维普期刊数据库

同方期刊数据库评论

在线全文

学校读者我要写书评

暂无评论

Enhancing P300 Potential through Stimuli Display Paradigm Design: A Comparison Study of Two P300 Spellers

Enhancing P300 Potential through Stimuli Display Paradigm De...

引用

第一届全国神经动力学学术会议

作者： jiahui pan Yuanqing Li Zhenghui Gu Zhuliang Yu School of Automation Science and Engineering South China University of Technology

In this paper, a comparison of two existing P300 spellers is conducted. In the first speller, the visual stimuli of characters are presented in a single level (1-level) paradigm and each character flashes individually in a random order. The second speller is based on a 2-level paradigm. In the first level, all characters are grouped and each group flashes randomly. Once a group is selected, the characters in it will appear on the flashing buttons of the second level for the selection of desired character. In a spelling experiment involving 7 subjects, higher online accuracy was obtained on the 2-level speller than the 1-level speller. Furthermore, we analyzed P300 detection performance, the P300 waveforms and Fisher ratios using the data collected by the two spellers. It was found that the stimuli display paradigm of the 2-level speller enhances P300 potential and is more suitable for P300 detection.

关键词： Brain-computer interface （BCI） P300 speller paradigm

来源： cnki会议评论

在线全文

cnki会议

学校读者我要写书评

暂无评论

欢迎您,

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

请选择保存的检索档案：

请选择收藏分类：

通借通还

欢迎您,

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：