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The purpose of this study was to investigate whether young teachers' Big Five personality traits relate to work engagement and job satisfaction directly and indirectly via teaching style, specifically autonomy-supportive and controlling styles. A total of 1887 Chinese teachers (M.sub.age = 27.30, SD = 2.93) completed an online questionnaire. Results from structural equation modeling revealed significant effects of teachers' personalities on work engagement and job satisfaction, showing that both teaching styles mediated the relationship between four of the personality traits (except extraversion) and work engagement and job satisfaction. Higher openness, agreeableness, and conscientiousness and lower neuroticism related more with autonomy-supportive teaching and less with controlling teaching; these four traits in turn related more with work engagement and job satisfaction. Findings highlight the role of personality and teaching style in teacher-related outcomes and indicate the necessity of promoting an adaptive teaching style to facilitate teacher development., Author(s): Jing Li [sup.1] , Meilin Yao [sup.1] , Hongrui Liu [sup.1] , Lifan Zhang [sup.1] Author Affiliations: (1) grid.20513.35, 0000 0004 1789 9964, Faculty of Psychology, Beijing Normal University, [...]

Regulatory focus may shape the manner in which students perceive and respond to learning environments and then further influence their attitudes and behaviors. In the current study, 1487 adolescents in China were surveyed to illuminate the relationship between regulatory focus and learning engagement. The results showed that promotion focus was a positive predictor of learning engagement, whereas prevention focus was a negative predictor. Both academic self-efficacy and depression mediated the relationship between the two foci and learning engagement. Moreover, five regulatory focus profiles identified by adopting a person-centered approach were found to relate to academic self-efficacy, depression, and learning engagement in various ways. Compared with other profiles, the one with high promotion focus and low prevention focus showed higher academic self-efficacy and lower depression and, in turn, demonstrated greater learning engagement, suggesting that such a profile may be the most beneficial for adolescent development.

The rise of social media platforms has led to an increase in the flow and dissemination of information, but it has also made generating and spreading rumors easier. Rumor detection requires understanding the context and semantics of text, dealing with the evolving nature of rumors, and processing vast amounts of data in real-time. Deep learning (DL)-based techniques exhibit a higher accuracy in detecting rumors on social media compared to many traditional machine learning approaches. This study presents a systematic review of DL approaches in rumor detection, analyzing datasets, pre-processing methods, feature taxonomy, and frequently used DL methods. In the context of feature selection, we categorize features into three areas: text-based, user-based, and propagation-based. Besides, we surveyed the trends in DL models for rumor detection and classified them into convolutional neural networks (CNN), recurrent neural networks (RNN), graph neural networks (GNN), and other methods based on the model structure. It offers insights into effective algorithms and strategies, aiming to guide researchers, developers, social media users, and governments in detecting and preventing the spread of false information. The study contributes to enhancing research in this field and identifies potential areas for future exploration. [ABSTRACT FROM AUTHOR]

Introduction: Current immunologic methods cannot distinguish Mycobacterium tuberculosis (Mtb) infection statuses, especially to discriminate active tuberculosis (ATB) from latent tuberculosis infection (LTBI). This study explored the potential of latency-associated antigens (Rv1733cSLP and Rv2028c) and multifactorial cytokine detection to distinguish tuberculosis infection states. Methods: ATB patients (20), LTBI healthcare workers (25), fever patients (11), and healthy controls (10) were enrolled. Cytokine levels (IFN-γ, TNF-α, IL-2, IL-6, IP-10, IL-1Ra, CXCL-1, and MCP-1) were measured using Luminex with/without MTB-specific virulence factor and latency-associated antigens stimulation. Results: Without antigen stimulation, IL-6, IP-10, MCP-1, and IL-1Ra were higher in the ATB group than in the LTBI group (p< 0.05), but no significant differences between the ATB group and the fever group. Stimulated with the four antigens, respectively, the cytokines, including IP-10Esat− 6, IP-10CFP− 10, IFN-γRv1733cSLP, IFN-γRv2028c, IL-6Esat− 6, IL-6Rv1733cSLP, IL-6Rv2028c, IL-2Rv1733cSLP, IL-2 Rv2028c, IL-1RaEsat− 6, IL-1RaCFP− 10, IL-1RaRv2028c, CXCL-1Esat− 6, CXCL-1CFP− 10, CXCL-1Rv1733cSLP, CXCL-1Rv2028c, MCP-1Esat− 6 and MCP-1CFP− 10, demonstrated accurate discrimination between ATB and LTBI (p< 0.05). Additive concentrations demonstrated significant secretion differences of IFN-γ, IP-10 and IL-2, primarily by virulence factors in ATB and latency-associated antigens in LTBI. Latency-associated antigens synergized with virulence factors, enhancing TH1-type cytokine diagnostic efficacy for discriminating ATB from LTBI, the AUC for TNF-α increased from 0.696 to 0.820 (p=0.038), IFN-γ increased from 0.806 to 0.962 (p=0.025), and IL-2 increased from 0.565 to 0.868 (p=0.007). Model selected by forward likelihood method indicated combined detection of IFN-γCFP− 10, IFN-γRv1733cSLP, IP-10Rv1733cSLP, and CXCL-1Rv1733cSLP achieved ATB diagnosis (AUC=0.996) and ATB-LTBI differentiation (AUC=0.992). Combined detection of IFN-γCFP− 10 and IFN-γRv1733cSLP achieved tuberculosis infection diagnosis (AUC=0.943). Conclusion: Latency-associated antigens enhance multiple cytokine discriminatory ability, particularly TH1-type cytokines, for differentiating Mtb infection statuses. [ABSTRACT FROM AUTHOR]

Tuberculosis preventive treatment (TPT) is an important strategy for tuberculosis (TB) control. Rheumatic diseases (RD) patients are at high risk for active TB development. More researches are needed in terms of patient compliance in clinical practice. This study aims to explore the potential difficulties and obstacles in latent tuberculosis infection (LTBI) screening and TPT in RD patients. Methods: Convenience sampling was used to recruit RD outpatients who had indications for LTBI screening and TPT. All participants were given questionnaires on knowledge and attitudes regarding screening and preventive treatment of LTBI. Results: Of the 200 RD patients, most people were aware that they were at increased risk of ATB due to their rheumatic disease and knew that TB was curable. The main association with willingness to have screening for LTBI was tertiary education (P = 0.013). The main association with willingness to take treatment for LTBI was a sense of personal risk and belief that the treatment would reduce risk of ATB (P < 0.001). More than half of the people surveyed could not accept taking 6 or more pills per day, while more than half of the patients could tolerate a treatment course of 9 months or longer. Most (65.4%) preferred their own rheumatologists to initiate treatment. Conclusion: Educating RD patients about their individual risks of TB and the side effects of treatment, and educating/empowering rheumatologists to discuss these aspects with their patients and to offer LTBI screening and treatment, may help improve patients′ compliance with LTBI screening and TPT. [ABSTRACT FROM AUTHOR]

P2O5 has been widely used as an acid‐base catalyst for the O‐methylation of catechol to guaiacol due to its suitable acid strength; however, its stability, which is a significant concern for industrial applications, has not seen significant breakthroughs. Herein, we developed a facile impregnation strategy to synthesize Ce promote P2O5 supported on mesoporous silica (CeP/SBA). The CeP/SBA‐500 carbonized at 500 °C exhibited the highest catalytic activity with a catechol conversion of 71.5 %. The high activity stems from the addition of Ce, forming CePO4, which exhibits improved surface acidity compared to P2O5. Importantly, chemisorption and in situ infrared studies revealed that CePO4 shows stronger adsorption of catechol, which then rapidly converts to guaiacol. The CeP/SBA‐500 exhibits excellent stability with no activity decrease after 10 h of continuous flow reaction, attributed to the absence of a decrease in CePO4 surface acidity. [ABSTRACT FROM AUTHOR]

Past research has revealed direct effects of parental involvement and parenting style on children's achievement goals separately, however, it is necessary to investigate the interactive mechanism in an integrated way. This study examined the relations between children's perception of different dimensions of parental involvement (i.e. home-based involvement, school-based involvement and academic socialisation) and their achievement goals, and the moderating role of parenting style (i.e. parental autonomy support vs. psychological control). Participants were 614 Chinese fourth and fifth grades students. Results showed that home-based involvement was positively associated with performance-approach goals, school-based involvement was positively associated with mastery goals, and academic socialisation was positively associated with both mastery and performance-approach goals. Parental psychological control moderated the relationships between performance-approach goals and two types of parental involvement: Academic socialisation and home-based involvement. These findings underscored the need of taking a multidimensional approach in conceptualising parental involvement, and that parental involvement should be expressed in an appropriate context of parenting style.

Intramuscular fat (IMF) refers to the lipid stored in skeletal muscle tissue. The number and size of intramuscular adipocytes are the primary factors that regulate IMF content. Intramuscular adipocytes can be derived from either in situ or ectopic migration. In this study, it was discovered that the regulation of IMF levels is achieved through the chemokine (C-C motif) ligand 5 (CCL5)/chemokine (C-C motif) receptor 5 (CCR5) pathway by modulating adipocyte migration. In coculture experiments, C2C12 myotubes were more effective in promoting the migration of 3T3-L1 preadipocytes than C2C12 myoblasts, along with increasing CCL5. Correspondingly, overexpressing the CCR5, one of the receptors of CCL5, in 3T3-L1 preadipocytes facilitated their migration. Conversely, the application of the CCL5/CCR5 inhibitor, MARAVIROC (MVC), reduced this migration. In vivo, transplanted experiments of subcutaneous adipose tissue (SCAT) from transgenic mice expressing green fluorescent protein (GFP) provided evidence that injecting recombinant CCL5 (rCCL5) into skeletal muscle promotes the migration of subcutaneous adipocytes to the skeletal muscle. The level of CCL5 in skeletal muscle increased with obesity. Blocking the CCL5/CCR5 axis by MVC inhibited IMF deposition, whereas elevated skeletal muscle CCL5 promoted IMF deposition in obese mice. These results establish a link between the IMF and the CCL5/CCR5 pathway, which could have a potential application for modulating IMF through adipocyte migration. NEW & NOTEWORTHY: C2C12 myotubes attract 3T3-L1 preadipocyte migration regulated by the chemokine (C-C motif) ligand 5 (CCL5)/ chemokine (C-C motif) receptor 5 (CCR5) axis. High levels of skeletal muscle-specific CCL5 promote the migration of subcutaneous adipocytes to skeletal muscle and induce the intramuscular fat (IMF) content. [ABSTRACT FROM AUTHOR]

3D micro-nano devices are expected to become the mainstay of multi-color solid-state lighting in the future because of their broad-band characteristic and the advantage of integrating the monolithic light-emitting diode on a single chip. In this work, InGaN/GaN micro-truncated pyramid arrays with six equivalent (10 1 ̄ 1) semi-polar facets and one (0001) polar facet were successfully prepared by the metal-organic chemical vapor deposition technology. The average diameter of the obtained uniform micro-truncated pyramids was 6.8 µm with a height of 2.4 µm. According to the results of micro-photoluminescence performed, the InGaN/GaN micro-truncated pyramid arrays can achieve multi-color emission from blue to red. The luminescent positions corresponding to different wavelengths were detected by the cathode luminescence spectrum. The multi-color emission was related to the quantum hybrid structures apart from the discrepancy of In composition in different positions. The developed microstructure can create multi-color emission by combining distinct luminescence modes, which can aid in the design of future optoelectronic devices. [ABSTRACT FROM AUTHOR]

Frequent spontaneous combustion activities restrict ecological restoration of coal waste dumps after reclamation. Effective monitoring of vegetation restoration is important for ensuring land reclamation success and preserving the ecological environment in mining areas. Development of unmanned aerial vehicle (UAV) technology has enabled fine-scale vegetation monitoring. In this study, we focused on Medicago sativa L. (alfalfa), a representative herbaceous vegetation type, in a coal waste dump after reclamation in Shanxi province, China. The alfalfa aboveground biomass (AGB) was used as an indicator for assessing vegetation restoration. The objective of this study was to evaluate the capacity of UAV-based fusion of RGB, multispectral, and thermal infrared information for estimating alfalfa AGB using various regression models, including random forest regression (RFR), gradient boosting decision tree (GBDT), K-nearest neighbor (KNN), support vector regression (SVR), and stacking models. The main results are as follows: (i) UAV multi-source data fusion improved alfalfa AGB estimation accuracy, although the enhancement diminished with the increasing number of sensor types. (ii) The stacking model consistently outperformed RFR, GBDT, KNN, and SVR regression models across all feature fusion combinations. It achieved high accuracy with R2 of 0.86–0.88, RMSE of 80.06–86.87 g/m2, and MAE of 60.24–62.69 g/m2. Notably, the stacking model based on only RGB imagery features mitigated the accuracy loss from limited types of features, potentially reducing equipment costs. This study demonstrated the potential of UAV in improving vegetation restoration management of coal waste dumps after reclamation. [ABSTRACT FROM AUTHOR]

The green transition of China's cities is crucial for ecology civilization realization. Based on the driver–pressure–state–impact–response (DPSIR) framework, an integrated technique for order preference by similarity to ideal solution (TOPSIS) model with entropy weight, this study achieved the comprehensive assessment of the green transition of 288 province-level municipalities and prefecture-level cities in China over 18 years from 2002 to 2019, in addition to the spatial correlations and obstacles analysis. The results indicate that major cities in China have a more significant green transition value, and the eastern region is developing fast, while the northeast region is relatively slow. There was heterogeneous spatial distribution for green transition, because of the disequilibrium sustainable development of 288 cities. Green transition has a significantly positive spatial autocorrelation in the cities of China, the high–high significant clusters greatly increased, and the main locations changed from the northeast to southeast of China. Frequent obstacles were also found, including road infrastructure construction, water resources, and the green coverage of urban built-up areas. Based on these results, several policy implications were put forward, including the optimization of environmental laws and regulations, the development of green transportation infrastructure, resource conservation and the circular economy, the establishment of a green financial system, and increasing the linkage for the green transition of different cities. [ABSTRACT FROM AUTHOR]

Background: The population with latent tuberculosis infection (LTBI) represents a potential pool of patients with active tuberculosis (ATB). T-SPOT.TB is an important test tool for screening LTBI. Owing to the large population of LTBI patients in China, it is necessary to identify a high-risk group for LTBI and enlarge tuberculosis preventive treatment (TPT) to reduce the incidence of ATB. Methods: Hospitalized patients with positive T-SPOT.TB results were recruited from January 2013 to December 2016. Patients with ATB were excluded. Basic information was collected and the development of ATBs was examined during follow-up. The life-table method was used to calculate cumulative incidence rates. Potential risk factors were analyzed through Cox regression analysis. Results: A total of 1680 patients with LTBI were recruited in the follow-up cohort, and 377 (22.44%) patients dropped out. With a median follow-up time of 81 months [interquartile range (IQR):61– 93], 19 of 1303 patients with LTBI developed ATB. The 1-year incidence of ATB was 614 per 100,000 individuals [95%confidence interval (95% CI):584– 644]. Over 5-year period, the cumulative incidence of ATB was 1496 per 100,000 [95% CI:1430– 1570], and the incidence density was 240 per 100,000 person-years[95% CI:144– 375]. In the Cox regression model, exposure of pulmonary tuberculosis (PTB) [adjusted hazard ratio (aHR)=10.557, 95% CI:2.273– 49.031], maximum daily dosage of glucocorticoids (GCs)≥ 50 mg/d (aHR=2.948, 95% CI:1.122– 7.748), leflunomide (LEF) treatment (aHR=8.572, 95% CI:2.222 − 33.070), anemia (aHR=2.565, 95% CI:1.015– 6.479) and T-SPOT.TB level≥ 300SFCs/106 PBMCs (aHR=4.195, 95% CI:1.365– 12.892) were independent risk factors for ATB development in LTBI patients. Conclusion: The incidence of ATB is significantly higher in hospitalized patients with LTBI than in the general population. The exposure history of PTB, maximum daily dosage of GCs≥ 50 mg/day, LEF treatment, anemia, and T-SPOT.TB level≥ 300SFCs/106PBMCs, were the risk factors of tuberculosis reactivation. Hospitalized LTBI patients with the above factors may need TPT. [ABSTRACT FROM AUTHOR]

Simple Summary: Most Chinese local breeds have slow growth speed and high fat deposition, while European commercial chicken strains belong to fast-growing chicken breeds with low fat deposition. In general, the word "You" in China represents excessive fat deposition, and You-chicken is considered to be a typical fatten broiler. Among more than 100 local chickens in China, Baicheng-You and Beijing-You chickens are only two kinds of You-chicken breeds. However, their special genomic characteristics have not been well studied. This study analyzed the genome changes among these chicken breeds and obtained many candidate genes related to important traits of chickens, e.g., fat deposition, immune response, and melanin production. Our data provide valuable insights for understanding the formation of germplasm characteristics of these broiler breeds, which can be used to better protect and utilize the Chinese-You chickens. As the only two You-chicken breeds in China, Baicheng-You (BCY) and Beijing-You (BJY) chickens are famous for their good meat quality. However, so far, the molecular basis of germplasm of the two You-chicken breeds is not yet clear. The genetic relationship among BCY, BJY, and European-origin broilers (BRs) was analyzed using whole genome resequencing data to contribute to this issue. A total of 18,852,372 single nucleotide polymorphisms (SNPs) were obtained in this study. After quality control, 8,207,242 SNPs were applied to subsequent analysis. The data indicated that BJY chickens possessed distant distance with BRs (genetic differentiation coefficient (FST) = 0.1681) and BCY (FST = 0.1231), respectively, while BCY and BRs had a closer relationship (FST = 0.0946). In addition, by using FST, cross-population extended haplotype homozygosity (XP-EHH), and cross-population composite likelihood ratio (XP-CLR) methods, we found 374 selected genes between BJY and BRs chickens and 279 selected genes between BCY and BJY chickens, respectively, which contained a number of important candidates or genetic variations associated with feather growth and fat deposition of BJY chickens and potential disease resistance of BCY chickens. Our study demonstrates a genome-wide view of genetic diversity and differentiation among BCY, BJY, and BRs. These results may provide useful information on a molecular basis related to the special characteristics of these broiler breeds, thus enabling us to better understand the formation mechanism of Chinese-You chickens. [ABSTRACT FROM AUTHOR]

This article, published in the International Journal of Rheumatic Diseases, explores the co-occurrence of Epstein-Barr virus-related infectious mononucleosis (IM) and systemic lupus erythematosus (SLE). The study uses integrated bioinformatics analysis to identify common hub genes and pathways associated with both conditions. The researchers analyzed data from a public RNA-sequence database and identified 14 candidate hub genes that may play a vital role in the co-occurrence of IM and SLE. These genes, including LY86, NCF2, FPR1, S100A9, S100A12, MNDA, and ITGAM, were significantly downregulated in both conditions and showed a close correlation with monocyte infiltration. However, the study acknowledges the limitations of the findings due to the lack of datasets on the co-occurrence of IM and SLE. [Extracted from the article]