As an essential element for the diagnosis and rehabilitation of psychiatric disorders, the electroencephalogram (EEG) based emotion recognition has achieved significant progress due to its high precision and reliability. However, one obstacle to practicality lies in the variability between subjects and sessions. Although several studies have adopted domain adaptation (DA) approaches to tackle this problem, most of them treat multiple EEG data from different subjects and sessions together as a single source domain for transfer, which either fails to satisfy the assumption of domain adaptation that the source has a certain marginal distribution, or increases the difficulty of adaptation. We therefore propose the multi-source marginal distribution adaptation (MS-MDA) for EEG emotion recognition, which takes both domain-invariant and domain-specific features into consideration. First, we assume that different EEG data share the same low-level features, then we construct independent branches for multiple EEG data source domains to adopt one-to-one domain adaptation and extract domain-specific features. Finally, the inference is made by multiple branches. We evaluate our method on SEED and SEED-IV for recognizing three and four emotions, respectively. Experimental results show that the MS-MDA outperforms the comparison methods and state-of-the-art models in cross-session and cross-subject transfer scenarios in our settings. Codes at https://github.com/VoiceBeer/MS-MDA.
To assess the association between vitamin C intake and cervical neoplasia (CN) risk. Databases including PubMed, Embase, and Springer link were retrieved up to June 10, 2014 with predefined strategy. The combined odds ratios (ORs) and their 95% confidence intervals (CIs) were calculated for overall and subgroup analyses. The publication bias was assessed using Begg's test and Egger's test. Sensitivity analysis was also conducted. Twelve studies consisting of 1 prospective cohort study and 11 case-control studies were included. In overall analysis, vitamin C intake was significantly associated with the reduced risk of CN (OR = 0.58; 95% CI: 0.44 to 0.75; P < 0.001). Subgroup analysis stratified by vitamin C dose indicated all dose categories achieved a reduced CN risk. Furthermore, increased vitamin C intake by 50 mg/day was related to the reduced risk of CN (OR = 0.92; 95% CI: 0.89 to 0.94; P < 0.05). No publication bias was detected by Begg's test (P = 0.169) and no apparent fluctuation was observed in summary OR by sensitivity analysis. Vitamin C intake was inversely associated with the risk of CN and this association was dose-dependent. However, more randomized controlled trials are required for further validation.
Abnormal ECC result and post-treatment HPV infection are predictors of residual lesion after LEEP. In combination, they could be useful for risk stratification and selection of the management approach. Postmenopausal CIN2+ patients with positive margins and persistent postoperative HPV infection may have high risk of cervical invasive cancer.
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