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3.465 Treffer

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  1. Detailansicht für Treffer 1 öffnen
    Metabolic reprogramming induced by DCA enhances cisplatin sensitivity through increasing mitochondrial oxidative stress in cholangiocarcinoma
    Qin, Hanjiao ; Zheng, Ge ; et al.
    In: Frontiers in Pharmacology, Jg. 14 (2023-09-01)
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  2. Detailansicht für Treffer 2 öffnen
    PCCAU-Net: A Novel Road Extraction Method Based on Coord Convolution and a DCA Module
    Xue, Xiaoqin ; Ren, Chao ; et al.
    In: Applied Sciences, Jg. 14 (2024-02-01), Heft 4, S. 1634-1634
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  3. Detailansicht für Treffer 3 öffnen
    SNO-DCA: A model for predicting S-nitrosylation sites based on densely connected convolutional networks and attention mechanism
    Jia, Jianhua ; Lv, Peinuo ; et al.
    In: Heliyon, Jg. 10 (2024), Heft 1
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  4. Detailansicht für Treffer 4 öffnen
    Synthesis and Characterization of Ultra‐Small Gold Nanoparticles in the Ionic Liquid 1‐Ethyl‐3‐methylimidazolium Dicyanamide, [Emim][DCA]
    Hildebrandt, Jana ; Prof. Dr. Andreas Taubert ; et al.
    In: ChemistryOpen, Jg. 13 (2024-02-01), Heft 2
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  5. Detailansicht für Treffer 5 öffnen
    From DNA-protein interactions to the genetic circuit design using CRISPR-dCas systems
    Shaytan, A. K. ; Novikov, R. V. ; et al.
    In: Frontiers in Molecular Biosciences, Jg. 9 (2022-12-01)
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  6. Detailansicht für Treffer 6 öffnen
    Rosiglitazone induces hepatocyte injury by increasing DCA accumulation through OATP1A4 inhibiting in mice
    Tan, Daopeng ; Ling, Lei ; et al.
    In: Arabian Journal of Chemistry, Jg. 16 (2023-10-01), Heft 10
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  7. Detailansicht für Treffer 7 öffnen
    Higher-Order DCA Attacks on White-Box Implementations with Masking and Shuffling Countermeasures
    Tang, Yufeng ; Gong, Zheng ; et al.
    In: Transactions on Cryptographic Hardware and Embedded Systems, Jg. 2023 (2022-11-01), Heft 1
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  8. Detailansicht für Treffer 8 öffnen
    The Optimal Choice of Technique for Stereotactic Radiosurgery—A LINAC-Based Dosimetric Study between DCA, DCA-SSO, DCA-SSO-VDR, and VMAT
    Venugopal, Ramya ; Sowmya Narayanan S. ; et al.
    In: Asian Journal of Oncology, 2022-07-01
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  9. Detailansicht für Treffer 9 öffnen
    Loss of In Vivo Replication Fitness of HIV-1 Variants Resistant to the Tat Inhibitor, dCA
    Ling, Lijun ; Leda, Ana R. ; et al.
    In: Viruses, Jg. 15 (2023-04-01), Heft 4, S. 950-950
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  10. Detailansicht für Treffer 10 öffnen
    A DCA‐based sparse coding for video summarization with MCP
    Li, Yujie ; Li, Zhenni ; et al.
    In: IET Image Processing, Jg. 17 (2023-04-01), Heft 5, S. 1564-1577
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  11. Detailansicht für Treffer 11 öffnen
    Liquid-Liquid equilibria of ternary mixtures of alkane (C8 or C12) + thiophene + three methylimidazolium dicyanamide (DCA)-based ionic liquids
    Alenzi, Adel F. ; Khaled H.A.E. Alkhaldi ; et al.
    In: Chemical Thermodynamics and Thermal Analysis, Jg. 10 (2023-06-01), Heft 100112-
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  12. Detailansicht für Treffer 12 öffnen
    The PROTECTOR strategy employs dCas orthologs to sterically shield off-target sites from CRISPR/Cas activity
    Sapozhnikov, Daniel M. ; Szyf, Moshe
    In: Scientific Reports, Jg. 13 (2023-02-01), Heft 1, S. 1-12
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  13. Detailansicht für Treffer 13 öffnen
    MPMFFT based DCA-DBT integrated probabilistic model for face expression classification
    Juneja, Kapil
    In: Journal of King Saud University: Computer and Information Sciences, Jg. 32 (2020-06-01), Heft 5, S. 618-633
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  14. Detailansicht für Treffer 14 öffnen
    DCA for Sparse Quadratic Kernel-Free Least Squares Semi-Supervised Support Vector Machine
    Sun, Jun ; Qu, Wentao
    In: Mathematics, Jg. 10 (2022-08-01), Heft 15, S. 2714-2714
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  15. Detailansicht für Treffer 15 öffnen
    ObjectiveTo establish a nomogram for predicting the risk of post-hepatectomy complications (PHC) in hepatic echinococcosis by analyzing the risk factors for PHC in two types of hepatic echinococcosis, and to investigate its value in clinical practice. MethodsA retrospective analysis was performed for the clinical data of 263 patients with two types of hepatic echinococcosis who underwent hepatectomy in Qinghai University Affiliated Hospital from January 2015 to August 2020, and among these patients, 93 were enrolled as PHC group and 170 were enrolled as control group. The Mann-Whitney U test was used for comparison of non-normally distributed continuous data between two groups, and the independent samples t-test was used for comparison of normally distributed continuous data between two groups; the chi-square test and the Fisher’s exact test were used for comparison of categorical data between two groups. Univariate and multivariate logistic regression analyses were used to screen out independent risk factors for PHC, and a nomogram risk prediction model was established based on the weight of each independent risk factor. The Bootstrap resampling method was used for internal verification of the model; the receiver operating characteristic (ROC) curve was plotted to evaluate the discriminatory ability of the model; calibration curve and the Hosmer-Lemeshow test were used to evaluate the consistency of the model; decision curve analysis (DCA) was performed to verify the clinical effectiveness of the model. ResultsAlbumin-bilirubin (ALBI) score (odds ratio ［OR］=3.694, 95% confidence interval ［CI］: 1.860-7336, P＜0.05), time of operation (OR=2.848, 95%CI: 1.384-5.859, P＜0.05), intraoperative blood loss (OR=4.832, 95%CI: 2.384-9.793, P＜0.05), and hydatid diameter (OR=3.073, 95%CI: 1.528-6.177, P＜0.05) were independent risk factors for PHC in two types of hepatic echinococcosis. A nomogram risk prediction model was established based on the weight of the above four independent risk factors, and the model had an area under the ROC curve of 0.877 (95%CI: 0.831-0.923). The model had a consistency index of 0.871 after internal verification using the Bootstrap resampling method, suggesting that the model had good discriminatory ability. The fitting of the observed value and the actual value of the calibration curve and the Hosmer-Lemeshow test (P=0.905) showed that the predicted value of the nomogram risk prediction model had good consistency with the actual observed value. When the threshold probability was 35.6%, DCA showed a net clinical benefit of 22%, and the model had good clinical applicability within the threshold probability ranging from 8% to 89%. ConclusionALBI score, time of operation, intraoperative blood loss, and hydatid diameter are independent risk factors for PHC in patients with two types of hepatic echinococcosis, and the nomogram risk prediction model established based on these factors has good accuracy, consistency, and clinical practicability.
    Hongye, LI
    In: Linchuang Gandanbing Zazhi, Jg. 37 (2021-11-01), Heft 11, S. 2632-2635
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  16. Detailansicht für Treffer 16 öffnen
    Novel Clinically Weight-Optimized Dynamic Conformal Arcs (WO-DCA) for Liver SBRT: A Comparison with Volumetric Modulated Arc Therapy (VMAT)
    Saglam, Y ; Bolukbasi, Y ; et al.
    In: Therapeutics and Clinical Risk Management, Jg. ume 17 (2021-09-01), S. 1053-1064
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  17. Detailansicht für Treffer 17 öffnen
    DCA‐based unimodal feature‐level fusion of orthogonal moments for Indian sign language dataset
    Joshi, Garima ; Vig, Renu ; et al.
    In: IET Computer Vision, Jg. 12 (2018-08-01), Heft 5, S. 570-577
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  18. Detailansicht für Treffer 18 öffnen
    Investigating crosstalk between H3K27 acetylation and H3K4 trimethylation in CRISPR/dCas-based epigenome editing and gene activation
    Zhao, Weiye ; Xu, Ying ; et al.
    In: Scientific Reports, Jg. 11 (2021-08-01), Heft 1, S. 1-11
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  19. Detailansicht für Treffer 19 öffnen
    [EMIM][DCA] as an entrainer for the extractive distillation of methanol-ethanol-water system
    Liu, Shengli ; Wang, Zhenhang ; et al.
    In: Green Energy & Environment, Jg. 6 (2021-06-01), Heft 3, S. 363-370
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  20. Detailansicht für Treffer 20 öffnen
    Cleaning Phenolic Compounds Present in Water Using Salting-Out Effect with DCA-Based Ionic Liquids
    Sas, Olalla G. ; Domínguez, Ángeles ; et al.
    In: Applied Sciences, Jg. 13 (2023-02-01), Heft 3, S. 2009-2009
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