检索结果-内蒙古大学图书馆

Estimation of the main air pollutants from different biomasses under combustion atmospheres by artificial neural networks

引用

Chemosphere 2024年 352卷 141484页

作者： Monteiro, Thalyssa Oliveira Alves, Pedro Augusto Araújo da Silva de Almeida Nava Barradas Filho, Alex Oliveira Villa-Vélez, Harvey Alexander Cruz, Glauber Postgraduate Program in Mechanical Engineering (PPGMEC) Department of Mechanics and Materials Federal Institute of Education Science and Technology of Maranhão (IFMA) Maranhão São Luís Brazil Postgraduate Program in Computer Science and Computational Mathematics (PPG-CCMC) Department of Computer Science University of São Paulo (USP) São Carlos São Paulo Brazil Data Analysis and Artificial Intelligence Laboratory (DARTi) Department of Computational Engineering Federal University of Maranhão (UFMA) Maranhão São Luís Brazil Department of Chemical Engineering Federal University of Maranhão (UFMA) Maranhão São Luís Brazil Processes and Thermal Systems Laboratory (LPSisTer) Department of Mechanical Engineering Federal University of Maranhão (UFMA) Maranhão São Luís Brazil

The production of biofuels to be used as bioenergy under combustion processes generates some gaseous emissions (CO, CO2, NOx, SOx, and other pollutants), affecting living organisms and requiring careful assessments. H... 详细信息

The production of biofuels to be used as bioenergy under combustion processes generates some gaseous emissions (CO, CO₂, NO_x, SO_x, and other pollutants), affecting living organisms and requiring careful assessments. However, obtaining such information experimentally for data evaluation is costly and time-consuming and its in situ obtaining for regional biomasses (e.g., those from Northeast Brazil (NEB) is still a major challenge. This paper reports on the application of artificial neural networks (ANNs) for the prediction of the main air pollutants (CO, CO₂, NO, and SO₂) produced during the direct biomass combustion (N₂/O₂:80/20%) with the use of ultimate analysis (carbon, hydrogen, nitrogen, sulfur, and oxygen). 116 worldwide biomasses were used as input data, which is a relevant alternative to overcome the lack of experimental resources in NEB and obtain such information. Cross-validation was conducted with k-fold to optimize the ANNs and performance was analyzed with the use of statistical errors for accuracy assessments. The results showed an acceptable statistical performance for all architectures of ANNs, with 0.001–12.41% MAPE, 0.001–5.82 mg Nm⁻³ MAE, and 0.03–52.30 mg Nm⁻³ RMSE, highlighting the high precision of the emissions studied. On average, the differences between predicted and real values for CO, CO₂, NO, and SO₂ emissions from NEB biomasses were approximately 0.01%, 10⁻⁶%, 0.14%, and 0.05%, respectively. Pearson coefficient provided consistent results of concentration of the ultimate analysis in relation to the emissions studied and effectiveness of the test set in the developed models. © 2024 Elsevier Ltd

关键词： Brazilian northeastern Environmental statistics Evaluation metrics Gaseous emissions Predictive models Thermoconversion

来源：评论

学校读者我要写书评

暂无评论

Frailty and Other Factors Associated With Early Outcomes in Middle-to Older Age Trauma Patients: A Prospective Cohort Study

引用

American Journal of Geriatric Psychiatry 2024年第2期32卷 244-255页

作者： Yeh, Tian-Shin Kang, Jiunn-Horng Littlejohns, Thomas J. Wu, Chia-Chieh Chen, Jin-Hua Piravej, Krisna Chiu, Wen-Ta Lam, Carlos Department of Physical Medicine and Rehabilitation School of Medicine College of Medicine Taipei Medical University Taipei Taiwan Department of Physical Medicine and Rehabilitation Wan Fang Hospital Taipei Medical University Taipei Taiwan Department of Epidemiology and Nutrition Harvard T. H. Chan School of Public Health Harvard University Boston MA United States Department of Physical Medicine and Rehabilitation National Taiwan University Hospital Taipei Taiwan Department of Physical Medicine and Rehabilitation College of Medicine National Taiwan University Taipei Taiwan Department of Physical Medicine and Rehabilitation Taipei Medical University Hospital Taipei Taiwan Graduate Institute of Nanomedicine and Medical Engineering College of Biomedical Engineering Taipei Medical University Taipei Taiwan International Ph.D. Program in Medicine College of Medicine Taipei Medical University Taipei Taiwan Professional Master Program in Artificial Intelligence in Medicine College of Medicine Taipei Medical University Taipei Taiwan Nuffield Department of Population Health University of Oxford Oxford United Kingdom Emergency Department Wan Fang Hospital Taipei Medical University Taipei Taiwan Department of Emergency School of Medicine College of Medicine Taipei Medical University Taipei Taiwan Graduate Institute of Data Science College of Management Taipei Medical University Taipei Taiwan Institutional Research Center Office of Data Science Taipei Medical University Taipei Taiwan Biostatistics Center Department of Medical Research Wan Fang Hospital Taipei Medical University Taipei Taiwan Department of Rehabilitation Medicine Faculty of Medicine Chulalongkorn University Bangkok Thailand Department of Chula Neuroscience Center King Chulalongkorn Memorial Hospital Bangkok Thailand Graduate Institute of Injury Prevention and Control College of Public Health Taipei Medical University Taipei Taiwan AHMC Health System Alhambra CA United States

Objectives: To prospectively investigate associations of frailty and other predictor variables with functional recovery and health outcomes in middle-aged and older patients with trauma. Design: Single-center prospective cohort study. Setting: Emergency department of Wan Fang Hospital in Taiwan. Participants: Trauma patients aged 45 and older. Measurements: Frailty was assessed with the Clinical Frailty Scale (CFS). Injury mechanisms, pre-existing diseases, and fracture locations were recorded at baseline. The primary outcome was functional recovery assessed using the Barthel Index (BI). Secondary outcomes were new care needs, unscheduled return visits, and falls 3 months postinjury. Results: A total of 588 participants were included in the final analysis. For every one-point increase in the CFS, the multivariable-adjusted odds ratio (OR, 95% confidence interval [CI]) of failure to retain the preinjury BI was 1.34 (1.16–1.55);associations were consistent across levels of age and injury severities. Significant joint associations of frailty and age with poor functional recovery were observed. CFS was also associated with new care needs (OR for every one-point increase, 1.36, 95% CI, 1.17–1.58), unscheduled return visits (OR 1.26, 95% CI, 1.04–1.51), and falls (OR 1.23, 95% CI, 1.01–1.51). Other variables associated with failure to retain preinjury BI included road traffic accident and presence of hip fracture. Conclusion: Frailty was significantly associated with poor functional and health outcomes regardless of injury severity in middle-aged and older patients with trauma. Injury mechanisms and fracture locations were also significant predictors of functional recovery postinjury. © 2023 American Association for Geriatric Psychiatry

关键词： Clinical Frailty Scale Frailty functional recovery injury middle-to older age

来源：评论

学校读者我要写书评

暂无评论

Hybrid Intelligent-Annotation Organ Segmentation on Medical Datasets

Hybrid Intelligent-Annotation Organ Segmentation on Medical ...

引用

2023 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2023

作者： Peng, Tao Zhao, Jing Gu, Yidong Di, Gongye Zhang, Lei Cai, Jing School of Future Science and Engineering Soochow University Suzhou China Ut Southwestern Medical Center Department of Radiation Oncology DallasTX United States Tsinghua University Affiliated Beijing Tsinghua Changgung Hospital Department of Ultrasound Beijing China The Affiliated Suzhou Hospital of Nanjing Medical University Suzhou Municipal Hospital Department of Medical Ultrasound Jiangsu Suzhou China The Affiliated Taizhou People's Hospital of Nanjing Medical University Department of Ultrasonic Taizhou China Duke Kunshan University Graduate Program of Medical Physics Data Science Research Center Jiangsu Kunshan China The Hong Kong Polytechnic University Department of Health Technology and Informatics Hong Kong

ISBN: (纸本)9798350337020

Ultrasound image segmentation is crucial for early disease detection and treatment planning but remains a challenging task due to the low contrast of organ boundaries and varying image quality. Current methods often require manual intervention or have limited accuracy. In this paper, we propose a novel hybrid framework that combines an automatic option polygon segment (AOPS) algorithm and a distributed- and memory-based evolution (DME) algorithm for precise ultrasound organ segmentation. Our pipeline consists of two cascaded stages: (1) a coarse segmentation step using the AOPS algorithm, which determines the number of vertices/clusters without human intervention, and (2) a refinement step using the DME algorithm to hunt for the optimal neural network, which is then used to represent a smooth, explainable mathematical expression of the organ boundary. We employ the fractional backpropagation learning network with L2 regularization (FBLN) for training and use the scaled exponential linear unit (SELU) activation function to address the vanishing gradient problem. This is a new attempt such a hybrid framework is applied to ultrasound organ segmentation tasks, and it demonstrates significant contributions in terms of accuracy, smoothness, and computational efficiency. © 2023 IEEE.

关键词： distributed-evolution learning network Multi-organs segmentation principal curve SEL U-based explainable mathematical model ultrasound

来源：评论

学校读者我要写书评

暂无评论

pH dependent biocompatible room temperature covalent organic polymers for selective chemotherapeutic drug delivery

引用

Microporous and Mesoporous Materials 2024年 365卷

作者： Thankachan, Darieo Anbazhagan, Rajeshkumar Tsai, Hsieh Chih Van Thi Thuy, Dinh Gebrie, Hailemichael Tegenu Chen, Kuan-Ju Chen, Wei-Liang Chen, Jem-Kun Department of Materials and Science Engineering National Taiwan University of Science and Technology 43 Sec. 4 Keelung Road Taipei106 Taiwan Graduate Institute of Applied Science and Technology National Taiwan University of Science and Technology Taipei106 Taiwan R&D Centre for Membrane Technology Chung Yuan University Taoyuan320 Taiwan Division of Gastroenterology and Hepatology Department of Internal Medicine Chung Shan Medical University Hospital Taichung City402 Taiwan Department of Chemistry College of Natural and Computational Sciences University of Gondar P.O. Box 196 Gondar Ethiopia

Covalent organic polymers (COP) are a special class of two-dimensional and three-dimensional cross-linked polymeric networks with repeating organic units. They are ideally suited for drug delivery applications because of their large surface area, porous nature, and tunable properties. Furan-2,5-dicarbohydrazide and 1,3,5-triformylbenzene were used to synthesize pH-responsive hydrazone-linked furan-based spherical COP(FRT-COP) at room temperature. The formulated FRT-COP were later stabilized using hyaluronic acid (HA) and then encapsulated anticancer drug doxorubicin (DOX), utilizing the porous structure of the synthesized COP. The newly developed FRT-COP have a pore size of 10 nm, and FRT-COP-DOX-HA exhibit drug loading capacity of 34.4 % and an encapsulation efficiency of 52.32 %. The 80 % viability of NIH 3T3 cells and 82.1 % viability of the CT2A cells, even at a higher concentration of 100 μg/mL of the carrier system, proves the outstanding biocompatibility of the carrier system for chemotherapeutic drug delivery administration. The FRT-COP-DOX-HA-treated NIH-3T3 normal cell line exhibits a viability of 80.59 % at a material concentration of 25 μg/mL. Furthermore, CT2A cancer cell lines show a viability of 33.1 % at a material concentration of 25 μg/mL. The in vivo results obtained from the experiments performed on male BALB/c nude mice also unequivocally demonstrated the exceptional suitability of the proposed drug delivery carrier system for antitumor chemotherapeutic drug administration. © 2023 Elsevier Inc.

关键词： Hyaluronic acid

来源：评论

学校读者我要写书评

暂无评论

Emulating complex synapses using interlinked proton conductors

引用

Physical Review Applied 2025年第1期23卷 014027-014027页

作者： Lifu Zhang Ji-An Li Yang Hu Jie Jiang Rongjie Lai Marcus K. Benna Jian Shi Department of Materials Science and Engineering Rensselaer Polytechnic Institute Troy New York 12180 USA Neurosciences Graduate Program University of California San Diego La Jolla California 92093 USA Department of Mathematics Purdue University West Lafayette Indiana 47907 USA Department of Neurobiology School of Biological Sciences University of California at San Diego La Jolla California 92093 USA Department of Physics Applied Physics and Astronomy Rensselaer Polytechnic Institute Troy New York 12180 USA

In terms of energy efficiency and computational speed, neuromorphic electronics based on nonvolatile memory devices are expected to be one of most promising hardware candidates for future artificial intelligence (AI). However, catastrophic forgetting, networks rapidly overwriting previously learned weights when learning new tasks, remains a pivotal obstacle in either digital or analog AI chips for unleashing the true power of brainlike computing. To address catastrophic forgetting in the context of online memory storage, a complex synapse model (the Benna-Fusi model) was proposed recently [M. K. Benna and S. Fusi, Nat. Neurosci. 19, 1697 (2016)], the synaptic weight and internal variables of which evolve following diffusion dynamics. In this work, by designing a proton transistor with a series of charge-diffusion-controlled storage components, we have experimentally realized the Benna-Fusi artificial complex synapse. Memory consolidation from coupled storage components is revealed by both numerical simulations and experimental observations. Different memory timescales for the complex synapse are engineered by the diffusion length of charge carriers and the capacity and number of coupled storage components. The advantages of the demonstrated complex synapse for both memory capacity and memory consolidation are revealed by neural network simulations of face-familiarity detection. Our experimental realization of the complex synapse suggests a promising approach to enhance memory capacity and to enable continual learning.

关键词： Nonvolatile storage

来源：评论

学校读者我要写书评

暂无评论

Polyelectrolyte-coated liposomes microfluidically assembled in one-step for enhancing cell endocytosis and in-vivo immune responses

引用

Colloids and Surfaces B: Biointerfaces 2024年 241卷 114030页

作者： Chen, Xin-an Chuang, Chuan-chang Chen, Cheng-cheung Lee, Chia-ying Chin, Chia-ying Young, Jenn-jong Bai, Meng-yi Chuang, Chuan-chung Biomedical Engineering Program Graduate Institute of Applied Science and Technology National Taiwan University of Science and Technology Taipei City10607 Taiwan Institute of Preventive Medicine National Defense Medical Center New Taipei City23742 Taiwan Department and Graduate Institute of Microbiology and Immunology National Defense Medical Center Taipei City11490 Taiwan Graduate Institute of Medical Sciences National Defense Medical Center Taipei City11490 Taiwan Adjunct Appointment to the Department of Biomedical Engineering National Defense Medical Center Taipei City11490 Taiwan School of Dentistry and Graduate Institute of Dental Science National Defense Medical Center Taipei City11490 Taiwan Department of dentistry Tri-Service General Hospital Taipei City11490 Taiwan

To enhance the cellular uptake of liposomes, we prepared conventional liposomes with targeting molecules and surface-charged liposomes and evaluated their potential as nano-carriers and vaccine adjuvants by comparing their endocytosis efficiencies using immune cells. Surface-charged liposomes were synthesized via a one-step microfluidic method, which provided a novel, simple, fast, and highly reproducible method for preparing liposomes. Flow cytometry revealed that cationic polyelectrolyte-coated liposomes exhibited higher endocytosis efficiencies (of up to a factor of 100) in A774A.1 cells and JAWs II cells compared with uncoated liposomes or those coated with anionic polyelectrolytes. Positively charged liposomes exhibited some cytotoxicity at quaternary-chitosan coating concentrations higher than 6 mg/mL;however, significantly lower cytotoxicities (by a factor of almost ten) were obtained by protein mixing. Furthermore, BALB/c mice vaccinated with a mixture of Anthrax vaccine adsorbed (AVA) and quaternary chitosan-coated liposomes showed faster and stronger anti-PA IgG inductions compared to those vaccinated with AVA alone, with titers positively correlating with the amount of cationic liposome used. This finding clearly reveals that quaternary chitosan-coated liposomes act as both nano-carriers and vaccine adjuvants that significantly enhance in-vivo immune responses to vaccines with low immunogenicities. © 2024 Elsevier B.V.

关键词： Polyelectrolytes

来源：评论

学校读者我要写书评

暂无评论

PD-1 blockade-unresponsive human tumor-infiltrating CD8^(+)T cells are marked by loss of CD28 expression and rescued by IL-15

引用

Cellular & Molecular Immunology 2021年第2期18卷 385-397页

作者： Kyung Hwan Kim Hong Kwan Kim Hyung-Don Kim Chang Gon Kim Hoyoung Lee Ji Won Han Seong Jin Choi Seongju Jeong Minwoo Jeon Hyunglae Kim Jiae Koh Bo Mi Ku Su-Hyung Park Myung-Ju Ahn Eui-Cheol Shin Graduate School of Medical Science and Engineering Korea Advanced Institute of Science and TechnologyDaejeonRepublic of Korea Department of Thoracic and Cardiovascular Surgery Samsung Medical CenterSungkyunkwan University School of MedicineSeoulRepublic of Korea Biomedical Science and Engineering Interdisciplinary Program Korea Advanced Institute of Science and TechnologyDaejeonRepublic of Korea Research Institute for Future Medicine Samsung Medical CenterSungkyunkwan University School of MedicineSeoulRepublic of Korea Department of Radiation Oncology Yonsei Cancer CenterYonsei University College of MedicineSeoulRepublic of Korea Division of Hematology-Oncology Department of MedicineSamsung Medical CenterSungkyunkwan University School of MedicineSeoulRepublic of Korea

Blockade of programmed death-1(PD-1)reinvigorates exhausted CD8^(+)T cells,resulting in tumor regression in cancer ***,reinvigoration of exhausted CD8^(+)T cells following PD-1 blockade was shown to be CD28-dependent in mouse ***,we examined the role of CD28 in anti-PD-1 antibody-induced human T cell reinvigoration using tumor-infiltrating CD8^(+)T cells(CD8^(+)TILs)obtained from non-small-cell lung cancer ***-cell analysis demonstrated a distinct expression pattern of CD28 between mouse and human CD8^(+)***,we found that human CD28^(+)CD8^(+)but not CD28^(–)CD8^(+)TILs responded to PD-1 blockade irrespective of B7/CD28 blockade,indicating that CD28 costimulation in human CD8^(+)TILs is dispensable for PD-1 blockade-induced reinvigoration and that loss of CD28 expression serves as a marker of anti-PD-1 antibody-unresponsive CD8^(+)*** and phenotypically,PD-1 blockade-unresponsive human CD28^(–)PD-1^(+)CD8^(+)TILs exhibited characteristics of terminally exhausted CD8^(+)T cells with low TCF1 ***,CD28^(–)PD-1^(+)CD8^(+)TILs had preserved machinery to respond to IL-15,and IL-15 treatment enhanced the proliferation of CD28^(–)PD-1^(+)CD8^(+)TILs as well as CD28^(+)PD-1^(+)CD8^(+)*** together,these results show that loss of CD28 expression is a marker of PD-1 blockade-unresponsive human CD8^(+)TILs with a TCF1–signature and provide mechanistic insights into combining IL-15 with anti-PD-1 antibodies.

关键词： anti-PD-1 T cells TCF1 CD28 IL-15

来源：评论

学校读者我要写书评

暂无评论

High-Resolution Hydrogen Molecule Detection Utilizing a Nanocandle-Based Optical Sensor

High-Resolution Hydrogen Molecule Detection Utilizing a Nano...

引用

Pacific Rim Conference on Lasers and Electro-Optics (CLEO/Pacific Rim)

作者： Nu-Ri Park Min-Joong Kim Jongsu Lee Minah Seo Yong-Sang Ryu Myung-Ki Kim KU-KIST Graduate School of Converging Science and Technology Korea University Seoul Republic of Korea Sensor System Research Center Korea Institute of Science and Technology Seoul Republic of Korea Department of Electrical Engineering and Computer Science Northwestern University Evanston IL USA School of Biomedical Engineering Korea University Seoul Republic of Korea Interdisciplinary Program in Precision Public Health Korea University Seoul Republic of Korea

Our research introduces a novel method for safe hydrogen detection. We've developed an advanced nano-candle sensor, combining Pd with nano-candles, enabling accurate detection of low-concentration hydrogen (<3%... 详细信息

ISBN: (数字)9798350372076

ISBN: (纸本)9798350372083

关键词： Electric potential Accuracy Hydrogen Lasers and electrooptics Optical sensors Electro-optical waveguides

来源：评论

学校读者我要写书评

暂无评论

Development and Application of a Genetic Algorithm for Selecting High Entropy Alloys with Good Combinations of Mechanical Properties

SSRN

引用

SSRN 2024年

作者： Stoco, Caroline Binde Cassar, Daniel Roberto Kaufman, Michael Clarke, Amy Coury, Francisco Gil Federal University of São Carlos Graduate Program in Materials Science and Engineering SP São Carlos Brazil SP Campinas Brazil Center for Advanced Non-Ferrous Structural Alloys George S. Ansell Department of Metallurgical and Materials Engineering Colorado School of Mines GoldenCO United States

A genetic algorithm was developed to search for high entropy alloys (HEAs) with good combinations of mechanical properties. The algorithm was designed to solve a multi-objective problem of finding single-phase face-centered cubic HEAs with high Hall-Petch constants and high critical resolved shear stresses. The goal was to obtain an alloy with good ductility and strength. The most promising alloy suggested by the genetic algorithm was an unconventional composition (Co32.73Cu15.11Fe0.72Hf0.72Mn35.97Mo3.96Ni10.43Sn0.36);this alloy was experimentally produced and characterized. An advantage of the proposed method is the possibility of more systematically identifying and exploring new compositions in the complex composition space characteristic of these multicomponent alloys. However, the thermodynamic parameters used for this selection process exhibited limitations, which were further explored in the present study, as evidenced by the fact that the microstructure of the selected alloy was not single-phase. © 2024, The Authors. All rights reserved.

关键词： Phase equilibria

来源：评论

学校读者我要写书评

暂无评论

A Comparative Study of Machine Learning Classifiers for Enhancing Knee Osteoarthritis Diagnosis

引用

Information (Switzerland) 2024年第4期15卷 183页

作者： Raza, Aquib Phan, Thien-Luan Li, Hung-Chung Hieu, Nguyen Van Nghia, Tran Trung Ching, Congo Tak Shing Graduate Institute of Biomedical Engineering National Chung Hsing University Taichung402 Taiwan Department of Physics and Electronic Engineering University of Science Vietnam National University of Ho Chi Minh City Ho Chi Minh City70000 Viet Nam Undergraduate Program of Intellectual Creativity Engineering National Chung Hsing University Taichung402 Taiwan VNU-HCM Ho Chi Minh City72409 Viet Nam Department of Electrical Engineering National Chi Nan University Puli Township545 Taiwan International Doctoral Program in Agriculture National Chung Hsing University Taichung402 Taiwan

Knee osteoarthritis (KOA) is a leading cause of disability, particularly affecting older adults due to the deterioration of articular cartilage within the knee joint. This condition is characterized by pain, stiffness, and impaired movement, posing a significant challenge in medical diagnostics and treatment planning, especially due to the current inability for early and accurate detection or monitoring of disease progression. This research introduces a multifaceted approach employing feature extraction and machine learning (ML) to improve the accuracy of diagnosing and classifying KOA stages from radiographic images. Utilizing a dataset of 3154 knee X-ray images, this study implemented feature extraction methods such as Histogram of Oriented Gradients (HOG) with Linear Discriminant Analysis (LDA) and Min–Max scaling to prepare the data for classification. The study evaluates six ML classifiers—K Nearest Neighbors classifier, Support Vector Machine (SVM), Gaussian Naive Bayes, Decision Tree, Random Forest, and XGBoost—optimized via GridSearchCV for hyperparameter tuning within a 10-fold Stratified K-Fold cross-validation framework. An ensemble model has also been made for the already high-accuracy models to explore the possibility of enhancing the accuracy and reducing the risk of overfitting. The XGBoost classifier and the ensemble model emerged as the most efficient for multiclass classification, with an accuracy of 98.90%, distinguishing between healthy and unhealthy knees. These results underscore the potential of integrating advanced ML methodologies for the nuanced and accurate diagnosis and classification of KOA, offering new avenues for clinical application and future research in medical imaging diagnostics. © 2024 by the authors.

关键词： Extraction

来源：评论

学校读者我要写书评

暂无评论

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

请选择保存的检索档案：

请选择收藏分类：

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

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

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：