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Teachers' discourse is instrumental in facilitating the emergence of students' scientific discourse. Many studies have shown that teachers' cognitive demand levels and discursive moves are the main factors in eliciting students' scientific discourse, but few focus on whole-class (non-grouped) teaching settings. This research explored the correlation between teachers' discourse strategies (the cognitive demand of questions and discursive moves) and students' scientific discourse quality in whole-class teaching without intervention. Applying the chi-square test, correspondence analysis, and content analysis, the study revealed the correlation structure between teachers' discourse strategies and students' scientific discourse quality. The teachers' lower (remembering and understanding) cognitive demand questions, primarily elicited students' low-quality (everyday discourse and elementary) scientific discourse responses. High (analyzing and creating) cognitive demand questions, primarily elicited students' high-quality (moderate and advanced) scientific discourse responses. The teachers' discursive moves also elicited students' high-quality scientific discourse, particularly following the teacher's high cognitive demand questions. High-control discursive moves (e.g., "providing opinion") elicited students' moderate scientific discourse responses, and low-control discursive moves ("allocation and organization") elicited students' moderate and advanced scientific discourse responses. Based on these findings, suggestions were made for science teachers.

The interplay of topology, magnetism, and correlations gives rise to intriguing phases of matter. In this study, through state-of-the-art angle-resolved photoemission spectroscopy, density functional theory, and dynamical mean-field theory calculations, we visualize a fourfold degenerate Dirac nodal line at the boundary of the bulk Brillouin zone in the antiferromagnet YMn2Ge2. We further demonstrate that this gapless, antiferromagnetic Dirac nodal line is enforced by the combination of magnetism, space-time inversion symmetry, and nonsymmorphic lattice symmetry. The corresponding drumhead surface states traverse the whole surface Brillouin zone. YMn2Ge2 thus serves as a platform to exhibit the interplay of multiple degenerate nodal physics and antiferromagnetism. Interestingly, the magnetic nodal line displays a d-orbital dependent renormalization along its trajectory in momentum space, thereby manifesting Hund's coupling. Our findings offer insights into the effect of electronic correlations on magnetic Dirac nodal lines, leading to an antiferromagnetic Hund nodal line.

PURPOSE: To evaluate Humphrey Visual Field (HVF) test reliability and its associated risk factors in children with glaucoma or glaucoma suspect. DESIGN: Retrospective cohort study. METHODS: None. SETTING: Single-center childhood glaucoma clinic. PATIENT POPULATION: One hundred thirty-six patients aged ≤18 years with glaucoma/glaucoma suspect, and least 1 completed 24 to 2 HVF test between 2018 and 2023. OBSERVATION PROCEDURE: Demographic and clinical characteristics including age, primary language, visual acuity (VA), and glaucoma diagnosis were extracted from electronic health records. MAIN OUTCOME MEASURES: HVF 24 to 2 testing metrics, including FP, FN, and FL. Tests were defined as reliable using manufacturer guidelines of ≤33% FP, ≤33% FN, and ≤20% FL. For each patient, a reliability score was calculated as the percentage of reliable tests among all tests completed. A multivariable logistic regression model was used to determine factors associated with test-level reliability (yes/no). A multivariable linear regression model was used to determine factors associated with patient-level reliability score. RESULTS: Among 634 HVFs from 136 patients (Mean ± SD age at first test 12.0 ± 3.2 years, 47.8% female), 51.3% were reliable. Older age, better baseline VA, and English as primary language were associated with greater odds of test-level reliability (P < .04). Mean ± SD patient-level reliability score was 51.7 ± 38.1%. Older age at first clinic visit, better baseline VA, and English as primary language were associated with higher reliability scores (all P < .02), and number of prior VF tests was not (P = .56). CONCLUSIONS: Younger age, worse visual acuity, and non-English as primary language were associated with decreased reliability and should be considered when interpreting VF testing in children. A significant learning effect was not observed with repeated testing.

The impact of variations in the three-dimensional structure of the genome has been recognized, but solid cancer tissue studies are limited. Here, we performed integrated deep Hi-C sequencing with matched whole-genome sequencing, whole-genome bisulfite sequencing, 5-hydroxymethylcytosine (5hmC) sequencing and RNA sequencing across a cohort of 80 biopsy samples from patients with metastatic castration-resistant prostate cancer. Dramatic differences were present in gene expression, 5-methylcytosine/5hmC methylation and in structural variation versus mutation rate between A and B (open and closed) chromatin compartments. A subset of tumors exhibited depleted regional chromatin contacts at the AR locus, linked to extrachromosomal circular DNA (ecDNA) and worse response to AR signaling inhibitors. We also identified topological subtypes associated with stark differences in methylation structure, gene expression and prognosis. Our data suggested that DNA interactions may predispose to structural variant formation, exemplified by the recurrent TMPRSS2-ERG fusion. This comprehensive integrated sequencing effort represents a unique clinical tumor resource.

As a significant tool to integrate information technology and education, dynamic mathematical software (DMS) has been widely concerned in recent years. However, how to better apply it to instruction practice deserves further exploration. Thus, we adopted the meta-analysis method to analyze the DMS-based experiments published between 2000 and 2020. A three-level meta-analysis of data from 107 studies involving 10,507 participants and 138 effect sizes revealed a moderate effect size (d = 0.632, 95% CI = [0.550, 0.713]). Moreover, moderator analyses showed that: (1) cultural background had significant moderating effects; (2) students performed better on near-transfer tests than far-transfer tests; (3) DMS used by students independently had better effects; (4) intervention duration had significant moderating effects; (5) some of the above significant moderating effects were unique after controlling for others. Overall, our findings suggest that DMS has positive effects on students' performance and teachers should be meticulous in designing their teaching plans.

The 2017 general comment (GC21) to the United Nations Convention on the Rights of the Child (UNCRC) on children in street situations, provides a framework of legal guidance for governments developing policies aimed at protecting street-connected children and sets up the rationale for more awareness raising and public education to counter negative and deficit attitudes towards street-connectedness. Within this framework, the media has a role to play in either challenging conceptualisations of street-connected children as out-of-place within the public and predominantly adult domain described by urban streets, or in reinforcing ideological constructions of citizenship and normalised notions of childhood that result in negative stereotypes of these children. GC21 recommends that interventions targeted at street-connected children should be ethically responsible -- adopting child rights approaches aimed at using accurate data/evidence that upholds the dignity of children, their personal integrity, and their right to life. As such, these approaches should also extend to how organisations engage with and utilise the media to represent street-connected children. Focusing on media representations of street-connected children during the six pandemic-affected months of February to July 2020, this paper provides a review of the content of the sources to provide an insight into the structural barriers that face street-connected children because of how they are positioned in society, during the pandemic and in general, and the extent to which the media reinforces or counters the rescue or removal narratives that can lead to inappropriate intervention responses.

Single-cell genomics is a powerful tool for studying heterogeneous tissues such as the brain. Yet little is understood about how genetic variants influence cell-level gene expression. Addressing this, we uniformly processed single-nuclei, multiomics datasets into a resource comprising >2.8 million nuclei from the prefrontal cortex across 388 individuals. For 28 cell types, we assessed population-level variation in expression and chromatin across gene families and drug targets. We identified >550,000 cell type-specific regulatory elements and >1.4 million single-cell expression quantitative trait loci, which we used to build cell-type regulatory and cell-to-cell communication networks. These networks manifest cellular changes in aging and neuropsychiatric disorders. We further constructed an integrative model accurately imputing single-cell expression and simulating perturbations; the model prioritized ~250 disease-risk genes and drug targets with associated cell types.