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
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
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
文摘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.
基金supported by the National Basic Research Program(973)of China(No.2012CB316400)the National Natural Science Foundation of China(No.61571393)
文摘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.
基金supported by the National Science Fund for Distinguished Young Scholars(82025022)the National Science Fund for Outstanding Young Scholars(82322040)+6 种基金the National Natural Science Foundation of China(92169204,82302494)the Guangdong Science and Technology Plan Project-Construction of High-level Biosafety Laboratories(2021B1212030010)the Guangdong Basic and Applied Basic Research Foundation(2021B1515020034,2023A1515011883)the Shenzhen Science and Technology Program(RCYX20200714114700046,ZDSYS20210623091810030)the Shenzhen Natural Science Foundation(JCYJ20220530163405012)the Chinese Academy of Medical Sciences Clinical and Translational Medicine Research Project(2022-I2M-C&T-B-113)the Shenzhen High-level Hospital Construction Fund(23250G1002).
文摘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.
