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  1. Book ; Thesis: Development of a pipeline based on immune profiling and machine learning to define cellular biomarkers in patients with steroid-refractory acute graft-versus-host-disease

    Ding, Yuntian / Schmitt, Anita

    2023  

    Institution Universität Heidelberg
    Author's details vorgelegt von Yuntian Ding ; Doktormutter: Prof. Dr. med. Anita Schmitt
    Language English
    Size ix, 83 Blätter, Illustrationen, Diagramme
    Publishing place Heidelberg
    Publishing country Germany
    Document type Book ; Thesis
    Thesis / German Habilitation thesis Dissertation, Ruprecht-Karls-Universität Heidelberg, 2023
    Note Text Englisch, Zusammenfassung in englischer und deutscher Sprache
    HBZ-ID HT030643718
    Database Catalogue ZB MED Medicine, Health

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    In stock of ZB MED Cologne/Königswinter

    Shelf markLoan statusLocation
    2024 E 329 order for loan Magazin

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  2. Article ; Online: Can a spatially anisotropic random scatterer produce a rotationally symmetric scattered momentum flow in the far zone?

    Ding, Yi

    Optics express

    2024  Volume 32, Issue 2, Page(s) 2856–2866

    Abstract: The question is examined as to whether the far-zone distribution of the electromagnetic momentum of the light generated by scattering on a spatially anisotropic random medium can be the same in every azimuthal angle of scattering. We show that the ... ...

    Abstract The question is examined as to whether the far-zone distribution of the electromagnetic momentum of the light generated by scattering on a spatially anisotropic random medium can be the same in every azimuthal angle of scattering. We show that the rotationally symmetric distribution of the scattered momentum flow in the far zone may be realized, provided that the structural parameters of both the scattering medium and the incident light source are chosen appropriately, when a polychromatic electromagnetic plane wave is scattered by an anisotropic, Gaussian, Schell-model medium. We derive the necessary and sufficient conditions for producing such a distribution. It is found that the scatterers have the same effective widths (σ
    Language English
    Publishing date 2024-01-31
    Publishing country United States
    Document type Journal Article
    ZDB-ID 1491859-6
    ISSN 1094-4087 ; 1094-4087
    ISSN (online) 1094-4087
    ISSN 1094-4087
    DOI 10.1364/OE.514692
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article ; Online: The impact of agricultural industrial agglomeration on farmers' income: An influence mechanism test based on a spatial panel model.

    Ding, Yi

    PloS one

    2023  Volume 18, Issue 9, Page(s) e0291188

    Abstract: Recently, China has exerted great efforts to develop agro-industrial agglomerations and optimize the agricultural industry's regional distribution to increase farmers' income. This study posits that agro-industrial agglomeration should be "dual body," ... ...

    Abstract Recently, China has exerted great efforts to develop agro-industrial agglomerations and optimize the agricultural industry's regional distribution to increase farmers' income. This study posits that agro-industrial agglomeration should be "dual body," provides a theoretical framework for agro-industrial agglomeration's effects on farmer income, and uses a spatial panel model to prove its influence on farmers' income and the spatial spillover effect. The results show that agro-industrial agglomeration in a specific region significantly impacts farmers' income and also has a spillover effect on income in adjacent regions. Further research shows that, contrary to traditional agglomeration theory, agricultural industry agglomeration has little impact on farmers' agricultural production but primarily promotes the establishment and development of agricultural organizations, thus improving farmers' income. Finally, the paper discusses the positive and negative effects of agro-industrial agglomeration on the Global Sustainable Development Goals(SDGs), and proposes some useful suggestions.
    MeSH term(s) Humans ; Farmers ; Agriculture ; China ; Income ; Industry
    Language English
    Publishing date 2023-09-08
    Publishing country United States
    Document type Journal Article
    ZDB-ID 2267670-3
    ISSN 1932-6203 ; 1932-6203
    ISSN (online) 1932-6203
    ISSN 1932-6203
    DOI 10.1371/journal.pone.0291188
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  4. Article ; Online: Structure-Based Virtual Screening for Novel Inhibitors Targeting KRAS G12C.

    Ding, Yiming

    Studies in health technology and informatics

    2023  Volume 308, Page(s) 568–573

    Abstract: KRAS is a protein that is critical to cell activation, but when it becomes mutated, it can contribute to the development of cancer. There is an urgent need for reliable and effective drugs to treat cancer, and KRAS G12C has been a major focus of research ...

    Abstract KRAS is a protein that is critical to cell activation, but when it becomes mutated, it can contribute to the development of cancer. There is an urgent need for reliable and effective drugs to treat cancer, and KRAS G12C has been a major focus of research in this area. In this study, we used structure-based virtual screening to search for novel inhibitors that can target KRAS G12C. Specifically, we conducted a search for inhibitors that bind to the protein's P2 pocket, which can trap the oncoprotein in an inactive GDP-bound state. Using quantitative analysis and virtual screening, we identified a set of eight potential inhibitors that have the potential to become the next generation of drugs to treat cancer. These findings offer new insights into the mechanisms underlying KRAS G12C inhibition and provide a promising avenue for future drug development efforts.
    MeSH term(s) Humans ; Antineoplastic Agents/pharmacology ; Antineoplastic Agents/therapeutic use ; Mutation ; Proto-Oncogene Proteins p21(ras)/genetics ; Proto-Oncogene Proteins p21(ras)/metabolism ; Proto-Oncogene Proteins p21(ras)/therapeutic use ; Cell Line, Tumor ; Lung Neoplasms
    Chemical Substances Antineoplastic Agents ; Proto-Oncogene Proteins p21(ras) (EC 3.6.5.2) ; KRAS protein, human
    Language English
    Publishing date 2023-11-26
    Publishing country Netherlands
    Document type Journal Article
    ISSN 1879-8365
    ISSN (online) 1879-8365
    DOI 10.3233/SHTI230886
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  5. Article ; Online: Correlation Analysis Model of Social Capital and Innovation Performance Based on Knowledge Mapping.

    Ding, Yuanyi

    Computational intelligence and neuroscience

    2022  Volume 2022, Page(s) 2138200

    Abstract: In this paper, the correlation between social capital and innovation performance is analyzed using a knowledge graph approach, and a correlation analysis model is designed for practical use. Given the advantages of knowledge graph technology and the fact ...

    Abstract In this paper, the correlation between social capital and innovation performance is analyzed using a knowledge graph approach, and a correlation analysis model is designed for practical use. Given the advantages of knowledge graph technology and the fact that most recommendation models fail to make full use of the correlation between knowledge graph and recommended items, this paper proposes a cross-attention fusion-based knowledge graph recommendation algorithm (CAKR). The CAKR model contains a cross-fusion module, a recommendation task module, and a knowledge graph embedding task module, and the inputs of the two task modules are alternately learned in a low-dimensional space by the cross-fusion module. The input of the two task modules is alternately learned in the low-dimensional space by the cross-fusion module to interact with the two embedding vectors of items and entities, and then, the obtained feature vectors are fed into the relevant task modules, respectively, and then, the results are calculated by the respective prediction functions. There is a mediating role of knowledge management capabilities in the innovation ecology perspective between social capital and innovation performance of SMEs. Among them, it fully mediates the relationship dimension of technical social capital, the cognitive dimension of institutional social capital, the relationship and cognitive dimension of market-based social capital, and innovation performance, and partially mediates the structural and cognitive dimension of technical social capital, the structural and relationship dimension of institutional social capital, and innovation performance. The relationship between knowledge management capability and innovation performance is positively mediated by environmental dynamics in the innovation ecology perspective, and the positive effect of knowledge management capability on innovation performance is more significant when the environmental dynamics are stronger, and vice versa. Finally, based on the results of the empirical study, some management suggestions are provided on how SMEs can reasonably utilize social capital to enhance their innovation performance.
    MeSH term(s) Knowledge ; Learning ; Social Capital
    Language English
    Publishing date 2022-06-06
    Publishing country United States
    Document type Journal Article
    ZDB-ID 2388208-6
    ISSN 1687-5273 ; 1687-5273
    ISSN (online) 1687-5273
    ISSN 1687-5273
    DOI 10.1155/2022/2138200
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  6. Article ; Online: On-DNA Suzuki-Miyaura Cross-Coupling.

    Ding, Yun

    Methods in molecular biology (Clifton, N.J.)

    2022  Volume 2541, Page(s) 45–48

    Abstract: Suzuki-Miyaura cross-coupling is one of the most widely employed reactions in medicinal chemistry. Here we describe the efficient cross-coupling with on-DNA halide substrates using Pd( ... ...

    Abstract Suzuki-Miyaura cross-coupling is one of the most widely employed reactions in medicinal chemistry. Here we describe the efficient cross-coupling with on-DNA halide substrates using Pd(PPh
    MeSH term(s) Catalysis ; DNA ; Palladium
    Chemical Substances Palladium (5TWQ1V240M) ; DNA (9007-49-2)
    Language English
    Publishing date 2022-09-09
    Publishing country United States
    Document type Journal Article
    ISSN 1940-6029
    ISSN (online) 1940-6029
    DOI 10.1007/978-1-0716-2545-3_7
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  7. Article ; Online: A randomized Bayesian optimal phase II design with binary endpoint.

    Ding, Yang

    Journal of biopharmaceutical statistics

    2022  Volume 33, Issue 2, Page(s) 151–166

    Abstract: In this paper, we propose a randomized Bayesian optimal phase II (RBOP2) design with a binary endpoint (e.g., response rate). A beta-binomial distribution is used to model the binary endpoint for a two-arm phase II trial. Posterior probabilities of the ... ...

    Abstract In this paper, we propose a randomized Bayesian optimal phase II (RBOP2) design with a binary endpoint (e.g., response rate). A beta-binomial distribution is used to model the binary endpoint for a two-arm phase II trial. Posterior probabilities of the endpoint of interest are evaluated at each interim look and used in the decision to stop the trial due to futility. Compared with other Bayesian designs, the proposed RBOP2 design has the following merits: (i) strongly controls the type I error rate at a pre-defined level; (ii) optimizes the stopping boundaries, thus maximizing the power to detect treatment effects and minimizing the expected sample size for futile treatment; (iii) does not limit the number of interim looks, thus enabling frequent trial monitoring; and (iv) allows the stopping boundaries to be pre-defined in the protocol and is easy to implement. We conduct simulation studies to compare the proposed design with a group sequential design and other Bayesian randomized designs and evaluate its operating characteristics under different scenarios.
    MeSH term(s) Humans ; Bayes Theorem ; Computer Simulation ; Probability ; Research Design ; Sample Size
    Language English
    Publishing date 2022-07-06
    Publishing country England
    Document type Clinical Trial, Phase II ; Journal Article ; Randomized Controlled Trial
    ZDB-ID 1131763-2
    ISSN 1520-5711 ; 1054-3406
    ISSN (online) 1520-5711
    ISSN 1054-3406
    DOI 10.1080/10543406.2022.2094938
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    In stock of ZB MED Cologne/Königswinter

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    Je nach Verfügbarkeit (siehe Angabe bei Bestand)
    bis Jg. 1994: Bestellungen von Artikeln über das Online-Bestellformular
    Jg. 1995 - 2021: Lesesall (2.OG)
    ab Jg. 2022: Lesesaal (EG)

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  8. Book ; Online: Phase Transition Points and Classical Probability

    Ding, Yonglong

    2023  

    Abstract: In order to gain a deeper understanding of complex systems and infer key information using minimal data, I classify all configurations based on classical probability, starting from the dimensions of energy and different categories of configurations. By ... ...

    Abstract In order to gain a deeper understanding of complex systems and infer key information using minimal data, I classify all configurations based on classical probability, starting from the dimensions of energy and different categories of configurations. By utilizing the principle of maximum entropy, it is concluded that all possible configurations with the same energy have equal probabilities of occurrence. By using different representations of high and low energy, the emergence of a transition point has been inferred. Finally, I take the Ising model as an example and calculate the transition point of the thermodynamic phase transition, which is determined to be 2.25. This value is very close to the simulation value obtained by Monte Carlo method, but I have only consumed a small amount of computational resources in the process.
    Keywords Condensed Matter - Statistical Mechanics ; Physics - Computational Physics ; Physics - Data Analysis ; Statistics and Probability
    Subject code 612
    Publishing date 2023-05-17
    Publishing country us
    Document type Book ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  9. Article ; Online: DP/MM: A Hybrid Model for Zinc-Protein Interactions in Molecular Dynamics.

    Ding, Ye / Huang, Jing

    The journal of physical chemistry letters

    2024  Volume 15, Issue 2, Page(s) 616–627

    Abstract: Zinc-containing proteins are vital for many biological processes, yet accurately modeling them using classical force fields is hindered by complicated polarization and charge transfer effects. This study introduces DP/MM, a hybrid force field scheme that ...

    Abstract Zinc-containing proteins are vital for many biological processes, yet accurately modeling them using classical force fields is hindered by complicated polarization and charge transfer effects. This study introduces DP/MM, a hybrid force field scheme that utilizes a deep potential model to correct the atomic forces of zinc ions and their coordinated atoms, elevating them from MM to QM levels of accuracy. Trained on the difference between MM and QM atomic forces across diverse zinc coordination groups, the DP/MM model faithfully reproduces structural characteristics of zinc coordination during simulations, such as the tetrahedral coordination of
    MeSH term(s) Molecular Dynamics Simulation ; Zinc/chemistry
    Chemical Substances Zinc (J41CSQ7QDS)
    Language English
    Publishing date 2024-01-10
    Publishing country United States
    Document type Journal Article
    ISSN 1948-7185
    ISSN (online) 1948-7185
    DOI 10.1021/acs.jpclett.3c03158
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  10. Article ; Online: Preparation and research of new black zirconia ceramics.

    Ding, Yuxuan / Wang, Qingchun

    Scientific reports

    2024  Volume 14, Issue 1, Page(s) 3197

    Abstract: The existing black zirconia has problems such as uneven color development, poor stability, expensive raw materials, and harm to the human body and the environment. In order to solve the above problems, this paper intends to use ... ...

    Abstract The existing black zirconia has problems such as uneven color development, poor stability, expensive raw materials, and harm to the human body and the environment. In order to solve the above problems, this paper intends to use NiAl
    Language English
    Publishing date 2024-02-08
    Publishing country England
    Document type Journal Article
    ZDB-ID 2615211-3
    ISSN 2045-2322 ; 2045-2322
    ISSN (online) 2045-2322
    ISSN 2045-2322
    DOI 10.1038/s41598-024-53793-8
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