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Clinical Study on Treatment of Vascular Aging in Patients with Type 2 Diabetes Complicated by Hypertension with Combination of Traditional Chinese Medicine and Western Medicine
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作者 bin ju 《Proceedings of Anticancer Research》 2019年第4期1-4,共4页
Objective:To explore the clinical effect of combination of traditional Chinese medicine and western medicine in treatment of vascular aging in patients with type 2 diabetes complicated by hypertension.Methods:Ninety p... Objective:To explore the clinical effect of combination of traditional Chinese medicine and western medicine in treatment of vascular aging in patients with type 2 diabetes complicated by hypertension.Methods:Ninety patients with type 2 diabetes complicated by hypertension admitted to our hospital from May 2016 to August 2019 were selected as research objects.They were randomly divided into control group and observational group,with 45 cases each.Control group was given amlodipine besylate combined with metformin hydrochloride.On the basis of control group,observational group was given combination of TCM syndrome differentiation.Blood glucose,blood pressure and blood lipids before and after 14 days of treatment were compared between two groups.Results:Blood glucose,blood pressure and lipid indexes after treatment were lower than before treatment in both groups;observational group was lower than control group and the difference was statistically significant(P<0.05).Conclusion:Combination of traditional Chinese medicine and Western medicine could lower blood glucose and blood pressure indexes,control blood lipids and delay blood vessel aging in patients with type 2 diabetes complicated by hypertension,it is worthy of clinical popularization. 展开更多
关键词 Type 2 diabetes COMPLICATED by HYPERTENSION Traditional Chinese MEDICINE and western MEDICINE TREATMENT VASCULAR aging
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Original Antigenic Sin on Antibody Response in SARS-CoV-2 Infection
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作者 Miao Wang Huimin Guo +1 位作者 bin ju Zheng Zhang 《Infectious Diseases & Immunity》 CSCD 2024年第3期132-137,共6页
Infection and vaccination can provide protective immunity against severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). However, the emergence of SARS-CoV-2 variants has persisted, leading to breakthrough infe... Infection and vaccination can provide protective immunity against severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). However, the emergence of SARS-CoV-2 variants has persisted, leading to breakthrough infections. Owing to the original antigenic sin (OAS), variant breakthrough infection or vaccination potentially induces a stronger antibody response against the ancestral strain than to subsequent variants, as in the case of influenza. Thus, overcoming OAS is important for the development of future vaccine designs. This review summarizes the recent findings on OAS in the antibody response to SARS-CoV-2 and its variants, with an emphasis on future vaccine designs. 展开更多
关键词 SARS-CoV-2 Original antigenic sin Antibody response Omicron subvariants Vaccine design
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抗新型冠状病毒中和抗体研究现状及展望 被引量:2
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作者 鞠斌 周兵 张政 《中国科学基金》 CSSCI CSCD 北大核心 2022年第4期624-629,共6页
中和抗体是一种卓越的抗病毒“特效药”,在对抗新型冠状病毒肺炎疫情中被寄予厚望,然而新冠病毒变异株不断出现,完全或者部分逃逸了中和抗体,显著降低了中和抗体的抗病毒作用。本文综述了当前新冠中和抗体的研发现状,重点阐明了这些抗... 中和抗体是一种卓越的抗病毒“特效药”,在对抗新型冠状病毒肺炎疫情中被寄予厚望,然而新冠病毒变异株不断出现,完全或者部分逃逸了中和抗体,显著降低了中和抗体的抗病毒作用。本文综述了当前新冠中和抗体的研发现状,重点阐明了这些抗体的作用靶点、机制以及分类特征等;并在新冠病毒变异株全球大流行的背景下,探讨中和抗体面临的严峻挑战和未来可能的发展方向,旨在为研发更加广谱中和抗体对抗病毒突变提供重要思路。 展开更多
关键词 新型冠状病毒 中和抗体 受体结合区域 ACE2受体 病毒突变 免疫逃逸 广谱中和抗体
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Preference transfer model in collaborative filtering for implicit data
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作者 bin ju Yun-tao QIAN Min-chao YE 《Frontiers of Information Technology & Electronic Engineering》 SCIE EI CSCD 2016年第6期489-500,共12页
Generally, predicting whether an item will be liked or disliked by active users, and how much an item will be liked, is a main task of collaborative filtering systems or recommender systems. Recently, predicting most ... Generally, predicting whether an item will be liked or disliked by active users, and how much an item will be liked, is a main task of collaborative filtering systems or recommender systems. Recently, predicting most likely bought items for a target user, which is a subproblem of the rank problem of collaborative filtering, became an important task in collaborative filtering. Traditionally, the prediction uses the user item co-occurrence data based on users' buying behaviors. However, it is challenging to achieve good prediction performance using traditional methods based on single domain information due to the extreme sparsity of the buying matrix. In this paper, we propose a novel method called the preference transfer model for effective cross-domain collaborative filtering. Based on the preference transfer model, a common basis item-factor matrix and different user-factor matrices are factorized.Each user-factor matrix can be viewed as user preference in terms of browsing behavior or buying behavior. Then,two factor-user matrices can be used to construct a so-called ‘preference dictionary' that can discover in advance the consistent preference of users, from their browsing behaviors to their buying behaviors. Experimental results demonstrate that the proposed preference transfer model outperforms the other methods on the Alibaba Tmall data set provided by the Alibaba Group. 展开更多
关键词 Recommender systems Collaborative filtering Preference transfer model Cross domain Implicit data
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