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The purpose of this study was to conduct a systematic meta-review with the goal of documenting the landscape of measures of classroom management in the school-based literature. Our systematic search for systematic reviews and extraction of primary studies in the classroom management research yielded 73 studies for inclusion that captured 76 different classroom management measures. We present an inclusive repository of measures from the field. Results revealed high levels of variability in aspects of both scales and observational measures across a range of domains assessed. We discuss our descriptive analysis of the landscape of classroom management measures and provide implications for future work.

Abstract For patients presenting with prostate imaging reporting and data system (PI-RADS) 3/4 findings on magnetic resonance imaging (MRI) examinations, the standard recommendation typically involves undergoing a biopsy for pathological assessment to ascertain the nature of the lesion. This course of action, though essential for accurate diagnosis, invariably amplifies the psychological distress experienced by patients and introduces a host of potential complications associated with the biopsy procedure. However, [18F]DCFPyL PET/CT imaging emerges as a promising alternative, demonstrating considerable diagnostic efficacy in discerning benign prostate lesions from malignant ones. This study aims to explore the diagnostic value of [18F]DCFPyL PET/CT imaging for prostate cancer in patients with PI-RADS 3/4 lesions, assisting in clinical decision-making to avoid unnecessary biopsies. 30 patients diagnosed with PI-RADS 3/4 lesions through mpMRI underwent [18F]DCFPyL PET/CT imaging, with final biopsy pathology results as the “reference standard”. Diagnostic performance was assessed through receiver operating characteristic (ROC) analysis, evaluating the diagnostic efficacy of molecular imaging PSMA (miPSMA) visual analysis and semi-quantitative analysis in [18F]DCFPyL PET/CT imaging. Lesions were assigned miPSMA scores according to the prostate cancer molecular imaging standardized evaluation criteria. Among the 30 patients, 13 were pathologically confirmed to have prostate cancer. The sensitivity, specificity, positive predictive value, negative predictive value, and accuracy of visual analysis in [18F]DCFPyL PET/CT imaging for diagnosing PI-RADS 3/4 lesions were 61.5%, 88.2%, 80.0%, 75.0%, and 76.5%, respectively. Using SUVmax 4.17 as the optimal threshold, the sensitivity, specificity, positive predictive value, negative predictive value, and accuracy for diagnosis were 92.3%, 88.2%, 85.7%, 93.8%, and 90.0%, respectively. The area under the ROC curve (AUC) for semi-quantitative analysis was 0.94, significantly higher than visual analysis at 0.80. [18F]DCFPyL PET/CT imaging accurately diagnosed benign lesions in 15 (50%) of the PI-RADS 3/4 patients. For patients with PI-RADS 4 lesions, the positive predictive value of [18F]DCFPyL PET/CT imaging reached 100%. [18F]DCFPyL PET/CT imaging provides potential preoperative prediction of lesion nature in mpMRI PI-RADS 3/4 patients, which may aid in treatment decision-making and reducing unnecessary biopsies.

Objective·To establish the early symptom network of adult intensive care unit (ICU) patients after transfer (post-ICU patients), identify the core symptoms and bridge symptoms, compare the symptom networks of two subgroups, i.e. mixed ICU and coronary care unit (CCU), and analyze the occurrence of symptoms.Methods·From December 2022 to August 2023, a total of 328 adult patients transferred to wards from mixed ICU and CCU of Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine were selected by convenience sampling. The general situation and clinical data questionnaire, and symptom questionnaires (including Hospital Anxiety and Depression Scale, Fatigue Severity Scale, Richards-Campbell Sleep Questionnaire, and Pain Numeric Rating Scale) were used. Based on Spearman correlation analysis and GLASSO algorithm, contemporaneous symptom network was built, and centrality indices and differences between subgroup symptom networks were computed. The edge accuracy and the stability of centrality indices of the network were tested.Results·A total of 302 valid questionnaires were collected, and the effective rate was 92.1%. The results of the centrality indices computations showed that in the early symptom network of post-ICU patients, the highest strength was “feel cheerful” (rS=1.145), the highest closeness was “enjoy something” (rC=1.851×10-3), and the highest expected influence was “（fatigue） interferes with physical function” (rE=1.143). The top three highest bridge strengths of symptoms were “worrying thoughts” (rb=10.392), “enjoy something” (rb=10.359), and pain (rb=10.221). There were no significant differences in network structure (M=0.289) and overall connection strength (GSmixed ICU=13.876, GSCCU=13.838; S=0.039) of the early symptom networks between mixed ICU and CCU patients after being transferred to wards. When comparing the centrality indices, apart from the strength and expected influence of five symptoms showing statistically significant differences (all P

Abstract Various noncollinear spin textures and magnetic phases have been predicted in twisted two-dimensional CrI3 due to competing ferromagnetic (FM) and antiferromagnetic (AFM) interlayer exchange from moiré stacking—with potential spintronic applications even when the underlying material possesses a negligible Dzyaloshinskii–Moriya or dipole–dipole interaction. Recent measurements have shown evidence of coexisting FM and AFM layer order in small-twist-angle CrI3 bilayers and double bilayers. Yet, the nature of the magnetic textures remains unresolved and possibilities for their manipulation and electrical readout are unexplored. Here, we use tunneling magnetoresistance to investigate the collective spin states of twisted double-bilayer CrI3 under both out-of-plane and in-plane magnetic fields together with detailed micromagnetic simulations of domain dynamics based on magnetic circular dichroism. Our results capture hysteretic and anisotropic field evolutions of the magnetic states and we further uncover two distinct non-volatile spin textures (out-of-plane and in-plane domains) at ≈1° twist angle, with a different global tunneling resistance that can be switched by magnetic field.

Abstract The membrane-delimited receptor for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), angiotensin-converting enzyme 2 (ACE2), which is expressed in the intestine, collaborates with broad neutral amino acid transporter 1 (B0AT1). Tryptophan (Trp) is transported into intestinal epithelial cells by ACE2 and B0AT1. However, whether ACE2 and its binding protein B0AT1 are involved in Trp-mediated alleviation of intestinal injury is largely unknown. Here, we used weaned piglets and IPEC-J2 cells as models and found that ACE2/B0AT1 alleviated lipopolysaccharide (LPS)-induced diarrhea and promoted intestinal barrier recovery via transport of Trp. The levels of the aryl hydrocarbon receptor (AhR) and mechanistic target of rapamycin (mTOR) pathways were altered by ACE2. Dietary Trp supplementation in LPS-treated weaned piglets revealed that Trp alleviated diarrhea by promoting ACE2/B0AT1 expression, and examination of intestinal morphology revealed that the damage to the intestinal barrier was repaired. Our study demonstrated that ACE2 accompanied by B0AT1 mediated the alleviation of diarrhea by Trp through intestinal barrier repair via the mTOR pathway.

This work aims to study the in vitro antioxidant activity of selenium-enriched rape powder extract and its correlation with basic chemical components. The results showed that compared with regular rape powder extract, selenium-enriched rape powder extract contained more nitrogen compounds, polyphenols, flavonoids, total selenium and polysaccharide-bound selenium, and had higher Fe3+ reducing power, 1,1-diphenyl-2-picrylhydrazyl (DPPH), 2,2’-azino-bis(3-ethylbenzothiazoline-6-sulfonic acid) (ABTS) radical cation, and hydroxyl free radical scavenging activity. Correlation analysis showed that the antioxidant activity was positively correlated with nitrogen compounds, total sugar, polyphenols, flavonoids, saponins, polysaccharides, total selenium, and polysaccharide-bound selenium. Partial correlation analysis showed that the antioxidant activity was only significantly or highly significantly positively correlated with polysaccharides and polysaccharide-bound selenium, which indicated that the difference in antioxidant activity between the two rape powder extracts may be mainly caused by the differences in polysaccharides and polysaccharide-bound selenium contents. In conclusion, there are differences in the basic chemical compositions of selenium-enriched and regular rape powder extracts, and selenium-enriched rape powder extract has a higher in vitro antioxidant activity. Polysaccharide-bound selenium was the major antioxidant component.

This is an article in the field of ceramics and composites. In order to improve the impermeability and microstructure of the impermeable wall materials, four kinds of calcium-based bentonite modified and filling material with different dosages were prepared under the action of alkali excitation reaction. The modified and filling material samples in the curing process were tested by flexible wall penetration (FWPT), nuclear magnetic resonance (NMR) scanning and electron microscope scanning (SEM). The results show that the permeability coefficient of filling material samples decreases first and then increases with the increase of bentonite content, and reaches a minimum value when the content of bentonite is 4%. The relaxation time (T2) distribution curves of the filled material specimens after curing from 1 to 28 d were all bimodal, with more than 80% of the peaks representing small pores, and the percentage of the peaks representing large pores decreasing with the increase of curing time. According to SEM images, it can be seen that a certain amount of calcium bentonite can promote the occurrence of hydration reaction, and the porosity of the material is significantly reduced. At 4% phosphate slag, the cementitious filler has the best compactness and better impermeability and strength. Accordingly, it can be determined that the better dosage of phosphate slag modified cementitious filler is 4%.

ABSTRACTRock discontinuity information plays a key role in engineering activities. In severely fragmented and discontinuous samples, the identification accuracy of rock discontinuities can be improved with the help of geologic knowledge with identified spatial features and geoscience interaction mechanisms. Therefore, we proposed a new method – a knowledge-based intelligent recognition method for rock discontinuities that used point cloud data – to correct inaccurate identification by considering the spatial relationships of rock discontinuities. This paper integrated the geologic knowledge bases in rock discontinuity information extraction rules and combined the generative rule inference model with the region growing method for intelligent extraction. In the case study, we developed four typical rule sets as examples based on the constructed rule system to group rock discontinuities and subsume the fractured rock discontinuities. Results show that this new method is effective in identifying and classifying rock discontinuities of complex areas with a greater reduction in manual intervention.

Abstract Hyperuricemia (HUA) is a metabolic syndrome caused by abnormal purine metabolism. Although recent studies have noted a relationship between the gut microbiota and gout, whether the microbiota could ameliorate HUA-associated systemic purine metabolism remains unclear. In this study, we constructed a novel model of HUA in geese and investigated the mechanism by which Lactobacillus rhamnosus GG (LGG) could have beneficial effects on HUA. The administration of antibiotics and fecal microbiota transplantation (FMT) experiments were used in this HUA goose model. The effects of LGG and its metabolites on HUA were evaluated in vivo and in vitro. Heterogeneous expression and gene knockout of LGG revealed the mechanism of LGG. Multi-omics analysis revealed that the Lactobacillus genus is associated with changes in purine metabolism in HUA. This study showed that LGG and its metabolites could alleviate HUA through the gut-liver-kidney axis. Whole-genome analysis, heterogeneous expression, and gene knockout of LGG enzymes ABC-type multidrug transport system (ABCT), inosine-uridine nucleoside N-ribohydrolase (iunH), and xanthine permease (pbuX) demonstrated the function of nucleoside degradation in LGG. Multi-omics and a correlation analysis in HUA patients and this goose model revealed that a serum proline deficiency, as well as changes in Collinsella and Lactobacillus, may be associated with the occurrence of HUA. Our findings demonstrated the potential of a goose model of diet-induced HUA, and LGG and proline could be promising therapies for HUA.

Abstract Cyclic dimeric guanosine monophosphate (c-di-GMP) serves as a bacterial second messenger that modulates various processes including biofilm formation, motility, and host-microbe symbiosis. Numerous studies have conducted comprehensive analysis of c-di-GMP. However, the mechanisms by which certain environmental signals such as iron control intracellular c-di-GMP levels are unclear. Here, we show that iron regulates c-di-GMP levels in Pseudomonas aeruginosa by modulating the interaction between an iron-sensing protein, IsmP, and a diguanylate cyclase, ImcA. Binding of iron to the CHASE4 domain of IsmP inhibits the IsmP-ImcA interaction, which leads to increased c-di-GMP synthesis by ImcA, thus promoting biofilm formation and reducing bacterial motility. Structural characterization of the apo-CHASE4 domain and its binding to iron allows us to pinpoint residues defining its specificity. In addition, the cryo-electron microscopy structure of ImcA in complex with a c-di-GMP analog (GMPCPP) suggests a unique conformation in which the compound binds to the catalytic pockets and to the membrane-proximal side located at the cytoplasm. Thus, our results indicate that a CHASE4 domain directly senses iron and modulates the crosstalk between c-di-GMP metabolic enzymes.

BackgroundSarcopenia is linked to an unfavorable prognosis in individuals with rheumatoid arthritis (RA). Early identification and treatment of sarcopenia are clinically significant. This study aimed to create and validate a nomogram for predicting sarcopenia risk in RA patients, providing clinicians with a reliable tool for the early identification of high-risk patients.MethodsPatients with RA diagnosed between August 2022 and January 2024 were included and randomized into training and validation sets in a 7:3 ratio. Least Absolute Shrinkage and Selection Operator (LASSO) regression analysis and multifactorial logistic regression analysis were used to screen the risk variables for RA-associated muscle loss and to create an RA sarcopenia risk score. The predictive performance and clinical utility of the risk model were evaluated by plotting the receiver operating characteristic curve and calculating the area under the curve (AUC), along with the calibration curve and clinical decision curve (DCA).ResultsA total of 480 patients with RA were included in the study (90% female, with the largest number in the 45–59 age group, about 50%). In this study, four variables (body mass index, disease duration, hemoglobin, and grip strength) were included to construct a nomogram for predicting RA sarcopenia. The training and validation set AUCs were 0.915 (95% CI: 0.8795–0.9498) and 0.907 (95% CI: 0.8552–0.9597), respectively, proving that the predictive model was well discriminated. The calibration curve showed that the predicted values of the model were basically in line with the actual values, demonstrating good calibration. The DCA indicated that almost the entire range of patients with RA can benefit from this novel prediction model, suggesting good clinical utility.ConclusionThis study developed and validated a nomogram prediction model to predict the risk of sarcopenia in RA patients. The model can assist clinicians in enhancing their ability to screen for RA sarcopenia, assess patient prognosis, make early decisions, and improve the quality of life for RA patients.