المؤلفون: Zhengteng Li, Hongmei Liu, Min Wang, Xiankai Wang, Dongmei Pan, Aidong Ma, Yang Chen

المصدر: BMC Medical Imaging, Vol 24, Iss 1, Pp 1-14 (2024)

مصطلحات موضوعية: Lung adenocarcinoma, Ki-67, Tomography, X-ray computed tomography, Nomogram, Medical technology, R855-855.5

الوصف: Abstract Objective This study developed and validated a nomogram utilizing clinical and multi-slice spiral computed tomography (MSCT) features for the preoperative prediction of Ki-67 expression in stage IA lung adenocarcinoma. Additionally, we assessed the predictive accuracy of Ki-67 expression levels, as determined by our model, in estimating the prognosis of stage IA lung adenocarcinoma. Materials and methods We retrospectively analyzed data from 395 patients with pathologically confirmed stage IA lung adenocarcinoma. A total of 322 patients were divided into training and internal validation groups at a 6:4 ratio, whereas the remaining 73 patients composed the external validation group. According to the pathological results, the patients were classified into high and low Ki-67 labeling index (LI) groups. Clinical and CT features were subjected to statistical analysis. The training group was used to construct a predictive model through logistic regression and to formulate a nomogram. The nomogram’s predictive ability and goodness-of-fit were assessed. Internal and external validations were performed, and clinical utility was evaluated. Finally, the recurrence-free survival (RFS) rates were compared. Results In the training group, sex, age, tumor density type, tumor-lung interface, lobulation, spiculation, pleural indentation, and maximum nodule diameter differed significantly between patients with high and low Ki-67 LI. Multivariate logistic regression analysis revealed that sex, tumor density, and maximum nodule diameter were significantly associated with high Ki-67 expression in stage IA lung adenocarcinoma. The calibration curves closely resembled the standard curves, indicating the excellent discrimination and accuracy of the model. Decision curve analysis revealed favorable clinical utility. Patients with a nomogram-predicted high Ki-67 LI exhibited worse RFS. Conclusion The nomogram utilizing clinical and CT features for the preoperative prediction of Ki-67 expression in stage IA lung adenocarcinoma demonstrated excellent performance, clinical utility, and prognostic significance, suggesting that this nomogram is a noninvasive personalized approach for the preoperative prediction of Ki-67 expression.

وصف الملف: electronic resource

العلاقة: https://doaj.org/toc/1471-2342Test

الوصول الحر: https://doaj.org/article/99ef6ce6f7c54c84806513974927e133Test

المؤلفون: Shizheng TIAN, Aidong MA, Kuncheng ZHANG, Kejian WU, Wen WU, Guangshun HE

المصدر: Haiyang Kaifa yu guanli, Vol 39, Iss 7, Pp 69-76 (2022)

مصطلحات موضوعية: evaluation of sustainable development level, dpsir, analytic hierarchy process, entropy weight method, changdao area, Oceanography, GC1-1581

الوصف: Under the background of "pursue coordinated land and marine development, and step up efforts to build China into a strong maritime country", the exploitation and utilization of China's islands are turning to green, ecological and sustainable development. Marine Ecological Civilization Comprehensive Experimental Area of Changdao has become the forefront of China's marine ecological civilization construction and high-quality island development. Therefore, this paper applied the DPSIR model to build an evaluation index system for sustainable development of Changdao area from five aspects: driving forces, pressures, states, impacts, and responses, and the index weight was determined by the method of combining entropy weight method and analytic hierarchy process. Then, this paper collected relevant data on Changdao area from 2011 to 2020 and evaluated its sustainable development level, the analysis and evaluation results showed that this level had been slowly fluctuating and rising during the decade. The conclusions of this paper would provide a reference for the formulation of relevant policies in Marine Ecological Civilization Comprehensive Experimental Area of Changdao.

وصف الملف: electronic resource

العلاقة: http://www.haiyangkaifayuguanli.com/hykfyglen/ch/reader/view_abstract.aspx?file_no=20220710&flag=1Test; https://doaj.org/toc/1005-9857Test

الوصول الحر: https://doaj.org/article/d9cca735641544fcb66b5f0cbfb9a7e9Test

المؤلفون: Ying Qiu, Hongjun Fu, Dongmei Shi, Guang Huo, Aidong Ma, Weida Liu, Haiyan Zheng, Hongxia Yan

المصدر: International immunopharmacology. 19(2)

مصطلحات موضوعية: CD4-Positive T-Lymphocytes, Cell Survival, medicine.medical_treatment, T cell, Immunology, chemical and pharmacologic phenomena, Mice, Antigen, Glucosides, Phagocytosis, Cell Movement, medicine, Immunology and Allergy, Animals, Immunologic Factors, Secretion, Cells, Cultured, Cell Proliferation, Pharmacology, CD86, Mice, Inbred BALB C, CD40, biology, business.industry, hemic and immune systems, Cell Differentiation, Dendritic Cells, Allergens, In vitro, Cytokine, medicine.anatomical_structure, biology.protein, Monoterpenes, Cytokines, Female, business, CD80

الوصف: Dendritic cells (DCs) as the front lines of defense play a crucial role in allergic contact dermatitis (ACD). Paeoniflorin (PF) has been clinically proven to be effective in the treatment of inflammatory skin diseases such as ACD. However, the mechanisms underlying the anti-inflammatory effect of PF remain unclear. The aim of this study was to explore the effect of PF on the maturation and immunostimulatory function of DCs in the murine model of ACD in vitro. Murine bone marrow-derived DCs were stimulated with the contact sensitizer 1-chloro-2, 4-dinitrobenze (DNCB) in vitro. Surface antigen expression of DCs (MHC II, CD40, CD80, and CD86), as an indicator of maturation DCs and cytokines (IL-12, IFN-γ, IL-10, and TGF-β) after DNCB stimulation in the absence or presence of PF at different doses, was detected. Then, we detected that PF-treated DCs stimulated T cells in response to DNCB. PF inhibited the up-regulation of MHC II, CD80, CD86, and CD40, decreased IL-12p70 secretion, while increased the production of IL-10 and TGF-β, and had no effect on IFN-γ cytokine production by murine bone marrow-derived DCs in response to DNCB. DCs exposed to PF had diminished capacity to stimulate allogeneic T cell proliferation and to activate IFN-γ-producing CD4⁺ T cells and induced CD4⁺CD25⁺Foxp3⁺ T cells and IL-10-producing T cell expansion from naive CD4⁺ T cells. These results indicate that PF may be effective in preventing and treating ACD in vitro and other inflammatory responses possibly through inhibiting maturation of DCs and limiting their capacity to stimulate T cell responses.

الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8eb260512a6af956937dcbb6164c9f0aTest
https://pubmed.ncbi.nlm.nih.gov/24534772Test

المؤلفون: Siwei Luo, Yibiao Zhao, Rui Fang, Liang Wang, Aidong Ma

المصدر: Neural Information Processing ISBN: 9783540464846
ICONIP (3)

مصطلحات موضوعية: Computer Science::Machine Learning, Learning classifier system, Markov chain, Artificial neural network, business.industry, Q-learning, Decision problem, Machine learning, computer.software_genre, Inverted pendulum, Reinforcement learning, Artificial intelligence, Markov decision process, business, computer, Mathematics

الوصف: Reinforcement learning is a class of model-free learning control method that can solve Markov decision problems. But it has some problems in applications, especially in MDPs of continuous state spaces. In this paper, based on the vague neural networks, we propose a Q-learning algorithm which is comprehensively considering the reward and punishment of the environment. Simulation results in cart-pole balancing problem illustrate the effectiveness of the proposed method.

الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_________::aac3a8ed15e58f2c146bef342b3d9e5fTest
https://doi.org/10.1007/11893295_76Test

المؤلفون: King, Irwin, Jun Wang, Laiwan Chan, DeLiang Wang, Yibiao Zhao, Siwei Luo, Liang Wang, Aidong Ma, Rui Fang

المصدر: Neural Information Processing (9783540464846); 2006, p692-701, 10p

مستخلص: Reinforcement learning is a class of model-free learning control method that can solve Markov decision problems. But it has some problems in applications, especially in MDPs of continuous state spaces. In this paper, based on the vague neural networks, we propose a Q-learning algorithm which is comprehensively considering the reward and punishment of the environment. Simulation results in cart-pole balancing problem illustrate the effectiveness of the proposed method. [ABSTRACT FROM AUTHOR]

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