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Self-esteem has always been a hot research object in the field of adolescent mental health. But in longitudinal research, using a single slope to describe the trajectory of adolescent self-esteem is unrealistic. The piecewise growth mixture model (PGMM) was used to fit the data in this study. Selecting from China Family Panel Studies database, a total of 1,759 individuals were selected and their self-esteem (RSES) scores over the years were used as the tracking index. Based on the characteristics of the development trajectories of three latent classes, class 1 was referred to as "stable low level group," class 2 was named "rapidly rising group," and class 3 was referred to as "rapidly decrease group." And there were two stages in the development process of self-esteem in the adolescent group. The slope of the stable low level group showed a significant downward trend in the first stage and a significant upward trend in the second stage, with a relatively flat development trajectory and relatively low self-esteem on the whole. The slope of the rapidly rising group showed an insignificant upward trend in the first stage and a significant rapid upward trend in the second stage. The rapidly decrease group showed a significant and rapid downward trend in the first stage and a significant and rapid upward trend in the second stage. In the development of self-esteem in adolescence, there were three latent classes in which the characteristics of development trajectories were different. Age of 14 is the turning point between the two stages of development.

Simple Summary: This study aims to evaluate the repeatability of radiomics and dosiomics features via image perturbation of patients with cervical cancer. After analyzing the CT image and dose maps of the 304 included cervical cancer patients, we found higher repeatability of radiomics features than dosiomics features in general. More repeatable features were observed when extracted from the original, Large-sigma Laplacian-of-Gaussian (LoG) filtered, and LLL-/LLH-wavelet filtered images. In addition, a positive correlation was found between image entropy and high-repeatable feature number, regardless of data modality. These findings highlight the potential of radiomics features for robust quantitative imaging analysis in cervical cancer patients, while suggesting the need for further refinement of dosiomics approaches to enhance their repeatability. This study aims to evaluate the repeatability of radiomics and dosiomics features via image perturbation of patients with cervical cancer. A total of 304 cervical cancer patients with planning CT images and dose maps were retrospectively included. Random translation, rotation, and contour randomization were applied to CT images and dose maps before radiomics feature extraction. The repeatability of radiomics and dosiomics features was assessed using intra-class correlation of coefficient (ICC). Pearson correlation coefficient (r) was adopted to quantify the correlation between the image characteristics and feature repeatability. In general, the repeatability of dosiomics features was lower compared with CT radiomics features, especially after small-sigma Laplacian-of-Gaussian (LoG) and wavelet filtering. More repeatable features (ICC > 0.9) were observed when extracted from the original, Large-sigma LoG filtered, and LLL-/LLH-wavelet filtered images. Positive correlations were found between image entropy and high-repeatable feature number in both CT and dose (r = 0.56, 0.68). Radiomics features showed higher repeatability compared to dosiomics features. These findings highlight the potential of radiomics features for robust quantitative imaging analysis in cervical cancer patients, while suggesting the need for further refinement of dosiomics approaches to enhance their repeatability. [ABSTRACT FROM AUTHOR]

Inclusive finance has the potential to impact CO2 emissions resulting from energy activities by influencing regional economic behavior. To explore this relationship, this research makes use of panel data covering 30 Chinese provinces between 2004 and 2017. Through the utilization of empirical methods, including the dynamic panel model, the DIFF-GMM model, the mediating effect model, and the moderating effect model, the study examines the direction and mechanisms of the influence of financial inclusion on various aspects of CO2 emissions in China. The findings demonstrate that the development of inclusive finance has a significant effect on CO2 emissions, characterized by an energy rebound effect. This effect is primarily observed through notable increases in total CO2 emissions and per capita CO2 emissions, coupled with a reduction in CO2 emission efficiency. Additionally, inclusive finance exhibits a certain capacity to mitigate CO2 emissions by addressing energy poverty. However, this mitigating effect falls short of fully offsetting the CO2 emissions resulting from the overall economic impact of inclusive finance. Moreover, the study reveals that market regulation weakens the positive relationship between financial inclusion and CO2 emissions. Furthermore, the impact of financial inclusion on CO2 emissions exhibits a spatial spillover effect, wherein it serves to inhibit CO2 emissions in neighboring regions. [ABSTRACT FROM AUTHOR]

The aim of this study is to investigate the effects of extra oscillatory shear field on morphology and mechanical properties of [beta]-nucleated isotactic polypropylene by using a homemade vibration-assisted extrusion apparatus, in which oscillatory shear field was introduced into the extrusion head driven by crank and link mechanism. The results show that the extra oscillatory shear filed induces a significantly enhanced orientation of [beta]-crystal besides causing a better homogeneous dispersion of [beta]-nucleant, and the oriented [beta]-crystal has a high ratio of daughter lamellae to parent lamellae orientation, which was rarely reported in other literatures. The vibration increased the overall crystallinity and changed the relative content of [beta]-crystal. For the higher level nucleation agent content iPP(0.4 wt%), the relative contents of [beta]-crystal just changed a little or basically unchanged after vibration. However, for iPP contenting 0.2 wt% nucleation agent, the content of [beta]-crystal decreased. All the changes in the morphology, crystallinity, dispersion of [beta]-nucleant and [beta]-crystal content had a great influence on the mechanical properties, and that result was the improvement of yield stress and decrement of the elongation at break. POLYM. ENG. SCI., 57:838-845, 2017. [c] 2016 Society of Plastics Engineers, INTRODUCTION For polymer materials, the morphology and crystallinity strongly affect the physical properties, and the introducing of specific external fields into the extrusion processing is one of the most attractive [...]

Nearly infinite chemical space and the absence of well-established structure–property relationships have considerably challenged the purposeful design of copolymers for specific applications. To address these issues, a data-driven method called a polymer genome approach was proposed for rational design of linear random copolymers and implemented for developing poly(aryl ether)s (PAEs) with high glass transition temperature (Tg). By means of the polymer genome approach, machine learning (ML) models with high predictive accuracies and generalization abilities were established, favourable and unfavourable genes of PAEs (i.e., molecular fragments and physicochemical descriptors) for high Tg were unearthed, and consequently molecular design strategies and mechanistic insights for developing high-Tg PAEs were presented. Experimental synthesis work further verified that the Tg of new PAEs which were designed following the proposed design strategies could reach 328 °C, standing in the top 1% of the current database containing 2794 PAEs, and the constructed ML models could precisely forecast the Tg of new PAEs prior to synthesis, simply based on chemical structures of monomers and feed ratios. The proposed polymer genome approach opens a high-efficiency and low-cost avenue for accelerating the development of advanced PAEs and is supposed to be scalable to optimize versatile properties of other genres of linear random copolymers. [ABSTRACT FROM AUTHOR]

Sulfonated poly(phthalazinone ether ketone) containing pendant phenyl moieties (SPPEK-P)/copoly(phthalazinone biphenyl ether sulfone) (PPBES) thin film composite (TFC) membranes used for water vapor dehumidification at high temperature were fabricated. The laboratory-scale mixture gas separation apparatus was used to estimate the water vapor permeability and water vapor/N2 selectivity. The TFC membranes were prepared by the casting method. The influences of coating concentration, ion exchange capacity (IEC), curing time and curing temperature on the water vapor permeability and selectivity of TFC membrane were investigated. FTIR, AFM and SEM were used to characterize the membranes. At an IEC of 1.54 mmol g−1, the membrane showed water vapor permeance of 1225 GPU and water vapor/N2 selectivity of 450. Furthermore, the operating temperature increased from 30 to 110 °C, the water vapor permeability increased 35.5%, and selectivity increased 35.6%. [ABSTRACT FROM AUTHOR]