Table_1_Development of nutrition label use scale for patients of coronary heart disease and examination of its reliability and validity.docx

BackgroundA proper evaluation on the intention of using nutrition label in patients with coronary heart disease (CHD) is crucial to design and formulate of behavior-based interventions. A valid and reliable instrument based on theoretical basis is needed to measure individual intention toward nutrition label use and identify underlying socio-cognitive factors.ObjectTo develop and test validity and reliability of the theoretically based nutrition label use (NLU) scale and to promote the use of nutrition labels in CHD patients.MethodsA questionnaire was developed based on the theory of planned behavior (TPB), empirical literatures, expert review and pilot tested. A total of 460 CHD patients in a hospital in Changsha were investigated using this questionnaire from April 2021 to August 2021. The items and dimensions in the scale were explored and confirmed using item-analysis, content validity, exploratory factor analytical (EFA), confirmatory factor analytical (CFA), internal consistency and split-half reliability tests.ResultsA total of 33 items with 4 structural factors were identified, including 10 items of attitude, 6 items of subjective norm, 12 items of perceived behavior control, and 5 items of intention. The total variance explained by the EFA model was 68.563%. The model was further tested with CFA. The measurement model fitted the data well (Ratio of chi-square minimum and degree of freedom (CMIN/DF) =1.743, goodness of fit index (GFI) =0.814, incremental fit index (IFI) =0.946, Tuker-Lewis index (TLI) =0.940, the comparative fit index (CFI) =0.945, the root mean square error of approximation (RMSEA) =0.057). The content validation index (CVI) of the scale was 0.82, and the CVI of the items ranged from 0.8 to 1.00. The reliability of the scale was 0.976 (p ConclusionThe newly developed Nutrition Label Use Scale can serve as a valid and reliable tool to evaluate the nutrition label use of CHD patients.</p

The Effect of Explicit Solvent on Photodegradation of Decabromodiphenyl Ether in Toluene: Insights from Theoretical Study

Polybrominated diphenyl ethers (PBDEs) have received special environmental concern because of their potential toxicity to humans and wildlife worldwide. However, their photochemical degradation mechanisms remain largely unknown. Herein, a PCM/TD-DFT scheme (time-dependent density functional theory combined with the polarizable continuum model) augmented with explicit solute–solvent interactions is used to explore the promotive effects of the toluene solvent on the photochemical degradation debromination of deca-BDE (BDE209). The face-to-face π–π interactions between penta-bromine-substituted phenyl and toluene are investigated. The calculations indicate that the face-to-face π–π interaction plays an important role in the low-lying π→σ* transitions of BDE209–toluene π-stacking complex at around 300 nm in the sunlight region, which leads to notable changes for the πσ* excited states and which promotes the breaking of the C–Br bonds. The photodegradation reaction via an intermolecular charge-transfer excited state formed by the electronic transition from a π orbital of toluene to a σ* orbital of BDE209 is found to be a dominant mechanism. Our calculation results reveal the mechanism of how the participation of an explicit toluene solvent molecule catalyzes the photodegradation of BDE209 and explain the experimental results successfully. The present study may provide helpful information for the removal of PBDE contamination

Evaluation of shale gas reservoir reserves and production capacity based on Arps regression

At present, global energy conflicts are prominent and the world’s attention is focused on energy security. In order to evaluate the reserves and production capacity of the shale gas, which is a special fossil energy source, the study proposes a reserve and production capacity evaluation design for its reservoirs based on Arps decrement. The study intersects the material balance method and Arps reconciliation decrement method to achieve the evaluation of shale gas reservoir reserves. The shale gas reservoir production capacity was calculated using Integrated Geostatistical and Geomechanical Modeling (IGIG) based on Genliang Guo’s fractured horizontal wells, and Effective Fracture Radius (EFR) formula based on large capsule-shaped flow zones. Experimental data showed that the capacity evaluation method based on the binomial dynamic coefficient inverse calculation of formation pressure can calculate the current unobstructed flow rate and allotted production rate to provide data support for the extraction of shale gas reservoirs.</p

Palladium(II)-Catalyzed Formal [3 + 2] Cycloaddition of Aziridines with 3‑Substituted Indoles: Synthesis of Enantioenriched Pyrroloindolines

A Pd-catalyzed enantiospecific formal [3 + 2] cycloaddition between chiral aziridines and indoles has been developed. With this method, chiral pyrroloindolines in enantiomerically pure forms were constructed in high yields and diastereoselectivities under mild conditions

Area under the receiver operating characteristic curve (AUC) for MSKCC, SOC, and PKUPH models (n = 80).

<p>Area under the receiver operating characteristic curve (AUC) for MSKCC, SOC, and PKUPH models (n = 80).</p

Multivariable logistic regression of clinicopathologic data and NSLN involvement (n = 80).

<p><i>S.E</i>: Standard error.</p><p><i>OR:</i> Odds ratio.</p><p>CI: Confidence intervals.</p

Area under the receiver operating characteristic curve (AUC) for MSKCC, SOC, and PKUPH models (n = 40).

<p>Area under the receiver operating characteristic curve (AUC) for MSKCC, SOC, and PKUPH models (n = 40).</p

MSKCC and SOC Models at 10% Predicted Probability Cut-off Values Applied to PKUPH Data (n = 120).

<p>MSKCC and SOC Models at 10% Predicted Probability Cut-off Values Applied to PKUPH Data (n = 120).</p

Univariate analyses for patient and tumor and SLN characteristics associated with NSLN metastases (n = 80).

<p>*M:Median, Q25:25% of Quartile, Q75:75% of Quartile.</p

MSKCC, SOC and PKUPH Models at 10% Predicted Probability Cutoff Values Applied to PKUPH Data (n = 40).

<p>MSKCC, SOC and PKUPH Models at 10% Predicted Probability Cutoff Values Applied to PKUPH Data (n = 40).</p