The development of an effective method for detecting heavy-metal ions remains a serious task because of their high toxicity to public health and environments. Herein, a new electrochemical method ...based on a graphene aerogel (GA) and metal–organic framework (MOF) composites was developed for simultaneous detection of multiple heavy-metal ions in aqueous solutions. The GA-MOF composites were synthesized via the in situ growth of the MOF UiO-66-NH2 crystal on the GA matrix. GA not only serves as the backbone for UiO-66-NH2 but also enhances the conductivity of the composites by accelerating the electron transfer in the matrix. UiO-66-NH2 worked as a binding site for heavy-metal ions because of the interaction between hydrophilic groups and metal cations. The detection performance of the GA-UiO-66-NH2 composite-modified electrodes was determined. The developed electrochemical method can be successfully applied for individual and simultaneous detection of heavy-metal ions, namely, Cd2+, Pb2+, Cu2+,and Hg2+, in aqueous solutions with high sensitivity and selectivity. The method can also be used for simultaneous detection of Cd2+, Pb2+, Cu2+, and Hg2+ in river water and the leaching solutions of soil and vegetable with high accuracy and reliability. This work provides a new approach for simultaneous detection of multiple heavy-metal ions in practical applications.
Catalytic tandem cyclization of ynamides has attracted considerable interest in organic synthesis because of its atom economy in the rapid formation of polycyclic compounds. However, examples on the ...construction of pentacyclic spiroindolines are quite scarce. Herein, we described a BiCl3‐mediated tandem cyclization reaction of tryptamine‐ynamides, which led to the formation of appealing pentacyclic spiroindoline scaffolds in moderate to excellent yields. In addition, such a reaction can lead to the divergent synthesis of tricyclic indole derivatives with moderate yields by engineering substrate structures. The synthetic utility of this methodology has also been demonstrated by further interesting transformations.
Protein termini are determinants of protein stability. Proteins bearing degradation signals, or degrons, at their amino‐ or carboxyl‐termini are eliminated by the N‐ or C‐degron pathways, ...respectively. We aimed to elucidate the function of C‐degron pathways and to unveil how normal proteomes are exempt from C‐degron pathway‐mediated destruction. Our data reveal that C‐degron pathways remove mislocalized cellular proteins and cleavage products of deubiquitinating enzymes. Furthermore, the C‐degron and N‐degron pathways cooperate in protein removal. Proteome analysis revealed a shortfall in normal proteins targeted by C‐degron pathways, but not of defective proteins, suggesting proteolysis‐based immunity as a constraint for protein evolution/selection. Our work highlights the importance of protein termini for protein quality surveillance, and the relationship between the functional proteome and protein degradation pathways.
SYNOPSIS
Proteins with degradation signals (degron) at their amino‐ or carboxyl‐termini are eliminated by the N‐ or C‐degron pathways, respectively. Proteome‐wide analyses suggest functions of human C‐degrons signals in protein quality surveillance, as well as interplay with N‐degron‐dependent mechanisms.
The Global Protein Stability (GPS) random peptide platform enables context‐independent characterization of degron features.
The activity of C‐degrons is tuned by their surrounding sequences.
Gly/C‐degron shortage is limited to functional eukaryotic proteomes accessible to C‐degron pathways.
C‐degron pathways clear products of proteases and mislocalized cellular proteins.
Mitochondrial localization of MIC19 is dually safeguarded by the N‐ and C‐degron pathways.
Coronaviral diGly‐ending proteins evade C‐degron pathway‐mediated degradation.
Proteome‐wide analyses suggest functions of C‐terminal degradation signals in protein quality surveillance as well as interplay with N‐degron‐dependent mechanisms.
This study seeks exploration of how employees' moral identity is related to voice behavior (i.e., the expression of constructive suggestions or ideas for improving work-related issues) in the current ...organizational dynamics. By integrating the self-consistency theory with a situational strength perspective, a moderated mediation model was constructed to examine connections among moral identity, leader secure-base support (LSBS), work engagement, and voice behavior. Surveys were collected at 2 time points, 1 month apart, from 206 full-time employees in various organizations and industries in Taiwan. Supporting results indicated that employees' moral identity was positively related to voice behavior. The mediating impact of work engagement as a motivational mechanism between moral identity and voice behavior was observed. Relative to when LSBS was low, the effect of moral identity on work engagement and the indirect effect of moral identity on voice behavior through work engagement were more substantial when LSBS was high. Academic and managerial implications were discussed.
Introduction
The potential association between severe postoperative complications (SPC) and the oncological outcomes of esophageal squamous cell carcinoma (ESCC) patients according to the different ...Naples Prognostic Score (NPS) of the inflammatory nutritional status after minimally invasive esophagectomy (MIE) is unclear.
Methods
Kaplan–Meier survival analysis was used to evaluate overall survival (OS) and disease-free survival (DFS) between with or without SPC (Clavien–Dindo grade ≥ III) in low NPS status (NPS = 0 or 1) and high NPS status (NPS = 2 or 3 or 4) patients. Cox multivariable analysis was carried out to analyze the various independent factors of OS and DFS, and a nomogram based on SPC was established.
Results
A total of 20.7% (125/604) ESCC patients developed SPC after MIE. Patients with SPC exhibited poor 5-year OS and DFS compared to those without SPC (all
P
< 0.001). Further analysis revealed that SPC significantly reduced OS and DFS in patients with high NPS status (all
P
< 0.001) but had little effect on the prognosis of patients with low NPS status (all
P
> 0.05). Multivariable Cox analysis revealed that SPC could be an independent influence indicator for OS and DFS in patients with high NPS status. Therefore, a novel nomogram combining SPC and tumor-node-metastasis (TNM) staging has been developed, which was found to be relatively more accurate in predicting OS and DFS than TNM staging alone.
Conclusion
Severe complications can adversely affect the long-term oncological outcome of ESCC patients with high systemic inflammatory response and malnutrition after MIE.
Accuracy of long-form data in the Taiwan cancer registry Kao, Chia-Wen; Chiang, Chun-Ju; Lin, Li-Ju ...
Journal of the Formosan Medical Association,
November 2021, 2021-11-00, 20211101, 2021-11-01, Letnik:
120, Številka:
11
Journal Article
Recenzirano
Odprti dostop
The Taiwan Cancer Registry (TCR) is a nationwide population-based registry that collects the data of patients with newly diagnosed cancer from hospitals with ≥50 beds. TCR data are high quality in ...terms of completeness and timeliness. However, accuracy is also a crucial quality indicator. This study evaluated the accuracy rates of selected 55 major items in the long-form TCR data between 2014 and 2016 with 700 reported cases randomly selected from 25 long-form-reporting hospitals. We calculated the accuracy rates of the reported data by employing a reabstracted chart review. Among the 55 items, the accuracy rates of 38 (69%) were at least 95%, those of 10 (18%) were between 90% and 95%, those of 5 (9%) were between 85% and 90%, and the remaining 2 (4%) were between 80% and 85%. This demonstrates a high degree of accuracy in the TCR long-form data.
•Two-stage Decomposition Based SVMs are combined for Annual Runoff Forecasting.•The IMFs by EEMD are further decomposed by VMD.•All the decomposition based SVM models are averaged by the simple ...average method.•Annual runoff data of Pingshi station in 1964–2012 are used for model development.•Combined models outperform member models based on two-stage decomposition.
Accurate annual runoff forecasting is of great significance for water resources management and timely flood control. However, nonlinear and non-stationary runoff series and the complexity of hydrological processes make it difficult. To improve the forecast accuracy, a hybrid model based on two-stage decomposition, the support vector machine (SVM), and the combined method is proposed. Firstly, the original annual runoff is decomposed into a series of components (IMFs) by the ensemble empirical mode decomposition (EEMD). The high frequency components of IMFs are further decomposed into multiple components (VMFs) by the variational mode decomposition (VMD). Then, the SVM is applied to predict all the components. The sum of the forecast VMFs is the forecast of each high frequency IMF and the forecast annual runoff is obtained by summarizing the forecast IMFs. Finally, all the member models are averaged by the simple average method (SAM), which is the combining model. To evaluate the proposed model, the Pingshi Station in the Lechangxia Basin, China is selected. The results show that the two-stage decomposition enormously enhances the forecasting ability. The validation R of the optimal EEMD-VMD-SVM increases by 20%, 11% and 11% compared with the optimal SVM, EEMD-SVM and VMD-SVM, respectively. The validation MSE decreases by 58%, 45% and 47%, respectively. The optimal combined model outperforms the optimal member model because the validation R and MSE increase and decrease by 3% and 28%, respectively. The optimal combined model consists of four member models based on the EEMD-VMD and one member model based on the EEMD. This study highlights that combining machine learning methods based on two-stage decomposition can effectively improve the forecast accuracy of annual runoff.
The detection of blood glucose level receives much attention, because diabetes has become one of the significant threats to human health worldwide. In this paper, we described a novel core-shell ...MOF@MOF composite-based electrochemical sensor for nonenzymatic glucose sensing in alkaline media. The core-shell UiO-67@Ni-MOF composites were synthesized by internal extended growth of shell Ni-MOF on the core UiO-67 under polyvinylpyrrolidone (PVP) regulation. In the sensor system, UiO-67 with large specific surface area and good conductivity was used to accelerate the rate of electron transfer of UiO-67@Ni-MOF. Ni-MOF served as an electrocatalytic material due to excellent electrochemical activity toward glucose oxidation. The morphology, structure, and electrochemical performance of UiO-67@Ni-MOF composites were characterized. To demonstrate the detection performance of the UiO-67@Ni-MOF composite-based sensor, it was successfully used for nonenzymatic glucose sensing. The results indicated that UiO-67@Ni-MOF composites exhibited high electrocatalytic activity toward glucose oxidation compared with individual UiO-67 and Ni-MOF. Moreover, the sensor possessed high sensitivity and selectivity for real-time amperometric detection of glucose. It performed glucose level detection in human serum samples with acceptable reliability and accuracy. The present work suggested that the as-fabricated sensor is promising for nonenzymatic glucose sensing in real samples and holds great potential as an alternative tool for the rapid diagnosis of diabetes and for monitoring blood glucose levels daily.
Display omitted
•A novel core-shell MOF@MOF composite were synthesized by internal extended growth of shell Ni-MOF on the core UiO-67.•The UiO-67@Ni-MOF composites-based electrochemical sensor was presented for nonenzymatic glucose sensing.•The electrochemical sensor exhibited high selectivity and sensitivity for the detection of glucose in human serum.
Purpose
To develop an ultrasound (US)-based radiomics score for preoperative prediction of microvascular invasion (MVI) in hepatocellular carcinoma (HCC).
Methods
Between January 1, 2012, and October ...31, 2017, a total of 482 HCC patients who underwent contrast-enhanced ultrasound (CEUS) were retrospectively reviewed. The study population was divided into a training cohort (
n
= 341) and a validation cohort (
n
= 141) based on a cutoff time of January 1, 2016. Radiomics features were extracted from the grayscale US images of HCC. After features selection, a radiomics score was developed from the training cohort. The incremental value of the radiomics score to the clinic-pathological factors for MVI prediction was assessed in the validation cohort with respect to discrimination, calibration, and clinical usefulness.
Results
The US-based radiomics score consisted of six selected features. Multivariate logistic regression analysis showed that the radiomics score, alpha-fetoprotein (AFP), and tumor size were independent predictors of MVI. The radiomics nomogram (based on the three factors) showed better performance for MVI detection (area under the curve AUC 0.7310.647, 0.815 than the clinical nomogram (based on AFP and tumor size) (0.634 0.543, 0.724) (
p
= 0.015). Both nomograms showed good calibration. Decision curve analysis demonstrated that in terms of clinical usefulness, the radiomics nomogram outperformed the clinical nomogram.
Conclusion
The US-based radiomics score was an independent predictor of MVI in HCC. Combining the radiomics score with clinical factors improved the prediction efficacy.
Key points
• Radiomics can be applied in US images.
• US-based radiomics score was an independent predictor of MVI.
• Radiomics nomogram incorporated with the radiomics score showed good performance for MVI prediction.
The COVID-19 pandemic struck the world unguarded, some places outperformed others in COVID-19 containment. This longitudinal study considered a comparative evaluation of COVID-19 containment across ...50 distinctly governed regions between March 2020 and November 2021. Our analysis distinguishes between a pre-vaccine phase (March-November 2020) and a vaccinating phase (December 2020-November 2021). In the first phase, we develop an indicator, termed lockdown efficiency (LE), to estimate the efficacy of measures against monthly case numbers. Nine other indicators were considered, including vaccine-related indicators in the second phase. Linear mixed models are used to explore the relationship between each government policy & hygiene education (GP&HE) indicator and each vital health & socioeconomic (VH&SE) measure. Our ranking shows that surveyed countries in Oceania and Asian outperformed countries in other regions for pandemic containment prior to vaccine development. Their success appears to be associated with non-pharmaceutical interventions, acting early, and adjusting policies as needed. After vaccines have been distributed, maintaining non-pharmacological intervention is the best way to achieve protection from variant viral strains, breakthrough infections, waning vaccine efficacy, and vaccine hesitancy limiting of herd immunity. The findings of the study provide insights into the effectiveness of emerging infectious disease containment policies worldwide.
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