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  1. Book ; Thesis: Aktivierungsspezifische Bindung von Designed-Ankyrin-Repeat-Proteinen an Integrin αMβ2

    Li, Tian

    Detektierung der Monozytenaktivierung nach Myokardinfarkten

    2022  

    Author's details vorgelegt 2022 von Tian Li
    Keywords Herzinfarkt ; Monozyt
    Subject Blutmakrophage ; Blutwanderzelle ; Monocyt ; Monozyten ; Monocyten ; Koronarinfarkt ; Myokardinfarkt ; Myocardinfarkt
    Language German
    Size 80 Blätter, Illustrationen, Diagramme
    Publishing place Freiburg im Breisgau
    Publishing country Germany
    Document type Book ; Thesis
    Thesis / German Habilitation thesis Dissertation, Albert-Ludwigs-Universität Freiburg im Breisgau, 2022
    Note Im Titel sind "M" und "2" tiefgestellt
    HBZ-ID HT021700089
    Database Catalogue ZB MED Medicine, Health

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    In stock of ZB MED Cologne/Königswinter

    Shelf markLoan statusLocation
    2023 E 135 order for loan Magazin

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  2. Book: Advances in reproductive surgery

    Li, T.-C.

    (Best practice & research. Clinical obstetrics & gynaecology ; volume 59 (August 2019))

    2019  

    Author's details T.-C. Li, guest editor
    Series title Best practice & research. Clinical obstetrics & gynaecology ; volume 59 (August 2019)
    Best practice & research
    Collection Best practice & research
    Language English
    Size 150 Seiten, Illustrationen
    Publisher Elsevier
    Publishing place Amsterdam
    Publishing country Netherlands
    Document type Book
    HBZ-ID HT020245695
    Database Catalogue ZB MED Medicine, Health

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    In stock of ZB MED Cologne/Königswinter

    Shelf markLoan statusLocation
    Se 1040 -59- verfügbar in Königswinter Königswinter

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  3. Book ; Online: Advanced Machine Learning Applications in Big Data Analytics

    Li, Taiyong / Deng, Wu / Wu, Jiang

    2023  

    Keywords Technology: general issues ; History of engineering & technology ; energy storage ; model predictive control ; peak shaving and frequency regulation ; output optimization ; global optimization ; meta-heuristic ; support vector machine swarm intelligence ; hyperspectral image classification ; CNN ; ELM ; PSO ; deep feature ; butterfly optimization algorithm ; random replacement ; crisscross search ; overseas Chinese associations ; support vector machine ; short-term traffic-flow forecasting ; bagging model ; stacking model ; ridge regression ; error coefficient ; least squares method ; support vector machines ; principal component analysis ; quick access recorder ; mean absolute error ; high-plateau flight ; event extraction ; event type ; event trigger words ; stock announcement news ; stock return ; traffic flow forecasting ; long short-term memory network ; graph convolutional network ; target detection ; infrared ; deep learning ; YOLOv5 algorithm ; design science research ; performance analysis ; machine learning ; classification algorithms ; clustering algorithms ; pilot abnormal behavior ; behavior detection ; YOLOv4 algorithm ; CBAM ; flight safety ; fault diagnosis ; variational mode decomposition ; composite multi-scale dispersion entropy ; particle swarm optimization ; deep belief network ; CBCFI ; combined prediction model ; ARMA ; GM ; GA ; BP ; hierarchical clustering ; Jaccard distance ; membership grade ; community clustering ; lightweight neural networks ; attentional mechanisms ; Hemerocallis citrina Baroni ; maturity detection ; cloud ; digital archives ; confidentiality management ; information system ; emotion-cause pair extraction ; heterogeneous graph ; graph attention network ; hierarchical model ; spatial-temporal systems ; neural networks ; information systems ; forecasting ; time series ; coupled map lattice ; polymorphic mapping ; color image ; hash function ; pixel level ; differential evolution ; capacitated vehicle routing planning ; saving mileage ; gravity search ; object detection ; computer vision ; border patrol ; COVID-19 ; warning system ; PROPHET ; health ; quantum dynamics ; neural architecture search ; image classification ; swarm intelligence ; whale optimization algorithm ; extreme learning machine ; talent stability prediction ; adversarial attacks ; document classification ; NLP ; convolutional neural networks ; disease classification ; generative adversarial network ; tomato leaf ; multi-strategy ; dual-update strategy ; mean-semivariance model ; portfolio optimization ; DNA computing ; DNA sequences design ; improved matrix particle swarm optimization algorithm (IMPSO) ; opposition-based learning ; signal-to-noise ratio distance ; time series classification ; complementary ensemble empirical mode decomposition (CEEMD) ; MultiRocket ; feature selection ; hybrid model ; multi-behavior recommendation ; sequential recommendation ; graph neural network ; embedding propagation ; 1D quadratic chaotic system ; image encryption ; splicing model ; DNA coding ; BaaS system ; blockchain consensus algorithm ; KNN ; service level agreement ; transaction priority ; data stream mining ; forex ; online learning ; adaptive learning ; incremental learning ; sliding window ; concept drift ; financial time series forecasting ; n/a
    Language English
    Size 1 electronic resource (654 pages)
    Publisher MDPI - Multidisciplinary Digital Publishing Institute
    Document type Book ; Online
    Note English
    HBZ-ID HT030380982
    ISBN 9783036584874 ; 3036584870
    Database ZB MED Catalogue: Medicine, Health, Nutrition, Environment, Agriculture

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  4. Article: Optimizing the configuration of deep learning models for music genre classification.

    Li, Teng

    Heliyon

    2024  Volume 10, Issue 2, Page(s) e24892

    Abstract: Music genre categorization is a fundamental use of sound processing methods in the realm of music retrieval. Typically, people are responsible for categorizing music genres. Machine learning approaches can automate this procedure. Therefore, in recent ... ...

    Abstract Music genre categorization is a fundamental use of sound processing methods in the realm of music retrieval. Typically, people are responsible for categorizing music genres. Machine learning approaches can automate this procedure. Therefore, in recent years, several approaches have been suggested to achieve this objective. Nevertheless, the given findings indicate that there is still a discrepancy between the observed results and an optimal categorization method. Hence, this paper introduces a novel approach for accurately forecasting music genres by using deep learning methodologies. The proposed approach involves preprocessing the input signals and then representing the characteristics of each signal using a combination of Mel Frequency Cepstral Coefficients (MFCC) and Short-Time Fourier Transform (STFT) features. Subsequently, a convolutional neural network (CNN) is applied to process each group of these characteristics. The proposed technique utilizes two CNN models to analyze MFCC and STFT data. Although the structure of these models is identical, the hyper-parameters of each model are individually adjusted using the black hole optimization (BHO) algorithm. Here, the optimization method fine-tunes the hyperparameters of each CNN model to minimize their training error. Ultimately, the results of two Convolutional Neural Network (CNN) models are combined to determine the music genre using a classifier based on SoftMax. The efficacy of the suggested methodology in categorizing music genres has been assessed using the GTZAN and Extended-Ballroom datasets. The experimental findings demonstrated that the suggested approach achieved classification accuracies of 95.2 % and 95.7 % in the two datasets, respectively, indicating its superiority over earlier efforts.
    Language English
    Publishing date 2024-01-17
    Publishing country England
    Document type Journal Article
    ZDB-ID 2835763-2
    ISSN 2405-8440
    ISSN 2405-8440
    DOI 10.1016/j.heliyon.2024.e24892
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  5. Article ; Online: Restoration of UAV-Based Backlit Images for Geological Mapping of a High-Steep Slope.

    Li, Tengyue

    Sensors (Basel, Switzerland)

    2024  Volume 24, Issue 5

    Abstract: Unmanned aerial vehicle (UAV)-based geological mapping is significant for understanding the geological structure in the high-steep slopes, but the images obtained in these areas are inevitably influenced by the backlit effect because of the undulating ... ...

    Abstract Unmanned aerial vehicle (UAV)-based geological mapping is significant for understanding the geological structure in the high-steep slopes, but the images obtained in these areas are inevitably influenced by the backlit effect because of the undulating terrain and the viewpoint change of the camera mounted on the UAV. To handle this concern, a novel backlit image restoration method is proposed that takes the real-world application into account and addresses the color distortion issue existing in backlit images captured in high-steep slope scenes. Specifically, there are two main steps in the proposed method, which consist of the backlit removal and the color and detail enhancement. The backlit removal first eliminates the backlit effect using the Retinex strategy, and then the color and detail enhancement step improves the image color and sharpness. The author designs extensive comparison experiments from multiple angles and applies the proposed method to different engineering applications. The experimental results show that the proposed method has potential compared to other main-stream methods both in qualitative visual effects and universal quantitative evaluation metrics. The backlit images processed by the proposed method are significantly improved by the process of feature key point matching, which is very conducive to the fine construction of 3D geological models of the high-steep slope.
    Language English
    Publishing date 2024-02-29
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2052857-7
    ISSN 1424-8220 ; 1424-8220
    ISSN (online) 1424-8220
    ISSN 1424-8220
    DOI 10.3390/s24051586
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  6. Article ; Online: A Chinese model for legal regulation of Gene-Edited endangered animals and plants.

    Li, Tao

    Gene

    2024  Volume 911, Page(s) 148350

    Abstract: Background: The application of gene editing technology in the field of endangered plant and animal conservation has innovative and prospective value in saving endangered plant and animal populations, but it also poses challenges to the ecological ... ...

    Abstract Background: The application of gene editing technology in the field of endangered plant and animal conservation has innovative and prospective value in saving endangered plant and animal populations, but it also poses challenges to the ecological environment and bioethical norms. Gene editing has impacted China's animal and plant protection legal system, and this study aims to provide solutions for China to regulate gene editing of endangered plants and animals. The study concludes that China should enact specific legislation on gene editing of endangered plants and animals, abide by the concept of biosafety, and aim to maintain biodiversity and ecological balance; under the supervision of the ecological and environmental departments, the regulation of gene editing of endangered plants and animals should adopt a hybrid model of "combining the product and the process", and establish a system of registration, labeling, and responsibility. The ownership of gene-edited endangered animals and plants should adhere to the compound ownership model, recognizing that the State, collectives and individuals can all be owners within the scope of legal authorization.
    MeSH term(s) Humans ; Animals ; Conservation of Natural Resources ; Gene Editing ; Prospective Studies ; Plants/genetics ; China
    Language English
    Publishing date 2024-03-11
    Publishing country Netherlands
    Document type Journal Article ; Review
    ZDB-ID 391792-7
    ISSN 1879-0038 ; 0378-1119
    ISSN (online) 1879-0038
    ISSN 0378-1119
    DOI 10.1016/j.gene.2024.148350
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    In stock of ZB MED Cologne/Königswinter

    Zs.A 1357: Show issues Location:
    Je nach Verfügbarkeit (siehe Angabe bei Bestand)
    bis Jg. 1994: Bestellungen von Artikeln über das Online-Bestellformular
    Jg. 1995 - 2021: Lesesall (1.OG)
    ab Jg. 2022: Lesesaal (EG)

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  7. Book ; Thesis: Role of carbonic anhydrase IX and anion transporter SIc26a9 in gastroduodenal defense

    Li, Taolang

    2015  

    Author's details vorgelegt von Taolang Li
    Language English
    Size 98 Blätter, Illustrationen, Diagramme
    Publishing place Hannover
    Publishing country Germany
    Document type Book ; Thesis
    Thesis / German Habilitation thesis Dissertation, Medizinische Hochschule Hannover, 2015
    HBZ-ID HT018835506
    Database Catalogue ZB MED Medicine, Health

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    In stock of ZB MED Cologne/Königswinter

    Shelf markLoan statusLocation
    2015 E 2115 order for loan Magazin

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  8. Article ; Online: A Public Health Initiative for Action on Early Warning of Heat Health Risks.

    Li, Tiantian

    China CDC weekly

    2023  Volume 5, Issue 29, Page(s) 639–641

    Language English
    Publishing date 2023-07-27
    Publishing country China
    Document type Editorial
    ISSN 2096-7071
    ISSN (online) 2096-7071
    DOI 10.46234/ccdcw2023.122
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  9. Article: 生长激素激发试验和胰岛素样生长因子1水平检测对生长激素缺乏症的诊断意义和思考.

    Li, Tang

    Zhongguo dang dai er ke za zhi = Chinese journal of contemporary pediatrics

    2023  Volume 25, Issue 12, Page(s) 1193–1197

    Abstract: The growth hormone (GH)/insulin-like growth factor 1 (IGF-1) axis is an essential component of the hypothalamic-pituitary growth hormone axis and plays a crucial role in childhood growth and development. Disruptions and abnormalities in the GH/IGF-1 ... ...

    Title translation Diagnostic significance and considerations of growth hormone stimulation testing and insulin-like growth factor 1 in growth hormone deficiency.
    Abstract The growth hormone (GH)/insulin-like growth factor 1 (IGF-1) axis is an essential component of the hypothalamic-pituitary growth hormone axis and plays a crucial role in childhood growth and development. Disruptions and abnormalities in the GH/IGF-1 signaling pathway and its pathways typically manifest as short stature in children. Children with short stature often undergo GH stimulation testing and IGF-1 level measurements to differentiate growth hormone deficiency (GHD) from other causes of growth delay. This article aims to analyze and elucidate the values of GH stimulation testing and IGF-1 measurement, providing reference for the diagnosis of GHD in children.
    MeSH term(s) Child ; Humans ; Growth Hormone/metabolism ; Insulin-Like Growth Factor I/metabolism ; Insulin-Like Peptides ; Insulin-Like Growth Factor Binding Protein 3 ; Human Growth Hormone/metabolism ; Dwarfism, Pituitary/diagnosis
    Chemical Substances Growth Hormone (9002-72-6) ; Insulin-Like Growth Factor I (67763-96-6) ; Insulin-Like Peptides ; Insulin-Like Growth Factor Binding Protein 3 ; Human Growth Hormone (12629-01-5)
    Language Chinese
    Publishing date 2023-12-19
    Publishing country China
    Document type English Abstract ; Journal Article
    ISSN 1008-8830
    ISSN 1008-8830
    DOI 10.7499/j.issn.1008-8830.2308076
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  10. Article: Pancreatic cavernous hemangioma complicated with chronic intracapsular spontaneous hemorrhage: A case report and review of literature.

    Li, Ting

    World journal of clinical cases

    2023  Volume 11, Issue 23, Page(s) 5615–5621

    Abstract: Background: Pancreatic cavernous hemangioma (pCH) is a rare type of benign vascular tumor. Making the right diagnosis is challenging due to low clinical suspicion and the lack of existing cross-sectional imaging tools to distinguish it from other ... ...

    Abstract Background: Pancreatic cavernous hemangioma (pCH) is a rare type of benign vascular tumor. Making the right diagnosis is challenging due to low clinical suspicion and the lack of existing cross-sectional imaging tools to distinguish it from other pancreatic lesions.
    Case summary: We describe a male patient, age 18, who presented with a pCH. Computed tomography, magnetic resonance imaging, and ultrasound showed cystic space in the tail of the pancreas. A dark spot sign on the T2 weighted image sequence was observed. Clinically, a mucinous cystic neoplasm with hemorrhage was suspected preoperatively by combining imaging, and the operative indication was clear. The patient underwent a distal pancreatic tumor resection under laparoscopic control. Immunohistochemical staining for CD31 and CD34 was positive; D2-40 was positive in interstitial lymphatic vessels and negative in vascular epithelial cells; and calcium-binding protein was negative. The results support the diagnosis of pCH combined with chronic intracapsular spontaneous hemorrhage. No complications or recurrences were observed during the follow-up period.
    Conclusion: Chronic spontaneous hemorrhage may occur in pCH, which may greatly influence the accuracy of diagnosis using imaging modalities. Surgical resection for uncertain pCH seems reasonable with a good outcome.
    Language English
    Publishing date 2023-08-10
    Publishing country United States
    Document type Case Reports
    ISSN 2307-8960
    ISSN 2307-8960
    DOI 10.12998/wjcc.v11.i23.5615
    Database MEDical Literature Analysis and Retrieval System OnLINE

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