List of important notations.

<p>List of important notations.</p

Confusion matrix for CoTrade on the eight activity classes.

<p>The subfigures correspond to the performance of the algorithm using different numbers of labeled examples. The x- and y-coordinates are the class labels. (A) Confusion matrix obtained with 10% labeled examples. (B) Confusion matrix obtained with 20% labeled examples. (C) Confusion matrix obtained with 30% labeled examples. (D) Confusion matrix obtained with 40% labeled examples. (E) Confusion matrix obtained with 50% labeled examples.</p

Mean accuracy (MA) boxplots for the different co-training methods.

<p>Each subfigure corresponds to one case of labeled examples. (A) MA obtained using 10% labeled examples. (B) MA obtained using 20% labeled examples. (C) MA obtained using 30% labeled examples. (D) MA obtained using 40% labeled examples. (E) MA obtained using 50% labeled examples.</p

The accuracy of the different methods for the eight activity classes.

<p>Each subfigure corresponds to one activity class in the dataset. The x-coordinate is the number of labeled examples. (A) Parade. (B) Birthday party. (C) Graduation party. (D) Wedding reception. (E) Wedding dance. (F) Music performance. (G) Non-music performance. (H) Wedding ceremony.</p

Summary of the HesCo algorithm for co-training.

<p>Summary of the HesCo algorithm for co-training.</p

Data_Sheet_2_Subjective cognitive decline may mediate the occurrence of postoperative delirium by P-tau undergoing total hip replacement: The PNDABLE study.docx

ObjectiveWe again investigated the relationship between subjective cognitive decline (SCD) and postoperative delirium (POD) with a larger sample queue. We also determined whether SCD could cause the occurrence of POD through cerebrospinal fluid (CSF) biomarkers.MethodsA prospective, observational cohort study was implemented in the Qingdao Municipal Hospital Affiliated with Qingdao University. This study recruited 1,471 qualified patients affiliated with the Perioperative Neurocognitive Disorder And Biomarker Lifestyle (PNDABLE) study scheduled for total hip replacement under combined spinal and epidural anesthesia from June 2020 to May 2022. The Mini-Mental State Examination (MMSE) and the Montreal Cognitive Assessment (MoCA) were used to assess the cognitive level of the patients the day before surgery. Pittsburgh sleeps quality index (PSQI) scale was used to assess sleep status. Patients were divided into the SCD group and the non-SCD (NSCD) group based on the Subjective Cognitive Decline Scale (SCDS). CSF was collected after a successful spinal-epidural combined puncture, and amyloid-β40 (Aβ40), amyloid-β42 (Aβ42), total tau (T-tau), and phosphorylated tau (P-Tau) in CSF were analyzed by enzyme-linked immunosorbent assays. After the surgery, the incidence of POD was determined by the Confusion Assessment Scale (CAM), and Memorial Delirium Assessment Scale (MDAS) score was used to determine the severity of POD. Logistic regression and sensitivity analyses were performed to determine the relationship between CSF biomarkers, SCD, and POD. The mediating effect was used to analyze the function of specific CSF biomarkers in the relationship between SCD and POD. The risk factors of SCD were also separately verified by logistic regression and sensitivity analysis models.ResultsThe total incidence rate of POD was 19.60% (n = 225/1148), which was 29.3% (n = 120/409) in the SCD group and 14.2% (n = 105/739) in the NSCD group. We comprehensively considered the effect of covariates such as age, hypertension, and diabetes. Multivariate logistic regression analysis showed that SCD (OR = 1.467, 95%CI: 1.015–2.120, p = 0.042) and P-tau (OR = 1.046, 95%CI: 1.028–1.063, p −2, p ConclusionPatients with SCD are more likely to develop POD undergoing total hip replacement, and SCD can mediate the occurrence of POD via P-tau.Clinical trial registrationThis study was registered at China Clinical Trial Registry (Chictr2000033439).</p

Confusion matrix for LapCo on the eight activity classes.

<p>The subfigures correspond to the performance of the algorithm using different numbers of labeled examples. The x- and y-coordinates are the class labels. (A) Confusion matrix obtained with 10% labeled examples. (B) Confusion matrix obtained with 20% labeled examples. (C) Confusion matrix obtained with 30% labeled examples. (D) Confusion matrix obtained with 40% labeled examples. (E) Confusion matrix obtained with 50% labeled examples.</p

Data_Sheet_1_Subjective cognitive decline may mediate the occurrence of postoperative delirium by P-tau undergoing total hip replacement: The PNDABLE study.xlsx

ObjectiveWe again investigated the relationship between subjective cognitive decline (SCD) and postoperative delirium (POD) with a larger sample queue. We also determined whether SCD could cause the occurrence of POD through cerebrospinal fluid (CSF) biomarkers.MethodsA prospective, observational cohort study was implemented in the Qingdao Municipal Hospital Affiliated with Qingdao University. This study recruited 1,471 qualified patients affiliated with the Perioperative Neurocognitive Disorder And Biomarker Lifestyle (PNDABLE) study scheduled for total hip replacement under combined spinal and epidural anesthesia from June 2020 to May 2022. The Mini-Mental State Examination (MMSE) and the Montreal Cognitive Assessment (MoCA) were used to assess the cognitive level of the patients the day before surgery. Pittsburgh sleeps quality index (PSQI) scale was used to assess sleep status. Patients were divided into the SCD group and the non-SCD (NSCD) group based on the Subjective Cognitive Decline Scale (SCDS). CSF was collected after a successful spinal-epidural combined puncture, and amyloid-β40 (Aβ40), amyloid-β42 (Aβ42), total tau (T-tau), and phosphorylated tau (P-Tau) in CSF were analyzed by enzyme-linked immunosorbent assays. After the surgery, the incidence of POD was determined by the Confusion Assessment Scale (CAM), and Memorial Delirium Assessment Scale (MDAS) score was used to determine the severity of POD. Logistic regression and sensitivity analyses were performed to determine the relationship between CSF biomarkers, SCD, and POD. The mediating effect was used to analyze the function of specific CSF biomarkers in the relationship between SCD and POD. The risk factors of SCD were also separately verified by logistic regression and sensitivity analysis models.ResultsThe total incidence rate of POD was 19.60% (n = 225/1148), which was 29.3% (n = 120/409) in the SCD group and 14.2% (n = 105/739) in the NSCD group. We comprehensively considered the effect of covariates such as age, hypertension, and diabetes. Multivariate logistic regression analysis showed that SCD (OR = 1.467, 95%CI: 1.015–2.120, p = 0.042) and P-tau (OR = 1.046, 95%CI: 1.028–1.063, p −2, p ConclusionPatients with SCD are more likely to develop POD undergoing total hip replacement, and SCD can mediate the occurrence of POD via P-tau.Clinical trial registrationThis study was registered at China Clinical Trial Registry (Chictr2000033439).</p

Genetic Variants in <em>PNPLA3</em> and Risk of Non-Alcoholic Fatty Liver Disease in a Han Chinese Population

<div><p>We investigated the possible association between genetic variants in the Patatin like phospholipase-3 (<em>PNPLA3</em>) gene and nonalcoholic fatty liver disease (NAFLD) in a Han Chinese population. We evaluated twelve tagging single-nucleotide polymorphisms (tSNPs) of the <em>PNPLA3</em> gene in a frequency matched case–control study from Fuzhou city of China (553 cases, 553 controls). In the multivariate logistic regression analysis, the rs738409 GG or GC, and rs139051 TT genotypes were found to be associated with increased risk of NAFLD, and a significant trend of increased risk with increasing numbers of risk genotype was observed in the cumulative effect analysis of these single nucleotide polymorphisms. Furthermore, haplotype association analysis showed that, compared with the most common haplotype, the CAAGAA<b>TG</b>CGTG and CGAAGG<b>TG</b>TCCG haplotypes conferred a statistically significant increased risk for NAFLD, while the CGGGAA<b>CC</b>CGCG haplotype decreased the risk of NAFLD. Moreover, rs738409 C>G appeared to have a multiplicative joint effect with tea drinking (P<0.005) and an additive joint effect with obesity (Interaction contrast ratio (ICR) = 2.31, 95% CI: 0.7–8.86), hypertriglyceridemia (ICR = 3.07, 95% CI: 0.98–5.09) or hypertension (ICR = 1.74, 95% CI: 0.52–3.12). Our data suggests that <em>PNPLA3</em> genetic polymorphisms might influence the susceptibility to NAFLD development independently or jointly in Han Chinese.</p> </div

Forest plot showing the association between <i>p16</i> methylation and overall survival of NSCLC.

<p>The summary HR and 95% CIs were shown (random-effects model analysis).</p