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The rapidly increasing capacity of technology to collect, organize, and manage data has spurred changes in the practice of statistics: new methods of collecting data, large data sets, new forms of data, different ways to visualize and represent data, and recognition of the importance of being able to understand and to communicate data-based arguments and findings from the perspective of data consumers and data producers. Using a narrative review based on Delphi methods, we asked leading members of the statistics education community to describe trends they have observed in the field and to identify interesting and relevant papers related to those trends. We received 24 responses and over 200 suggestions for papers. Our analysis included papers published in journals, book chapters, conference proceedings, handbooks, and curricular documents. We focused on future directions for statistics education research, and thus included articles based on opinion or principles if the arguments made a strong case supported by evidence as to why the idea was needed. From our analysis of 50 papers in this review, we suggest four emerging themes in statistics education research, challenging what should be taught and suggesting new ways of thinking about the teaching and learning of statistics: Data Science, Visibilizing Statistical Concepts, Social Statistics, and New Contexts for Learning. The review focuses on articles from 2017-mid 2022 and highlights the relevance and importance of each theme. Our choice of a particularly important paper for each theme is annotated in the references.

Classroom stories show how using technology to investigate the wage gap provided opportunities to develop students' identities and agency and enabled a classroom culture of sharing and risk-taking. This article illustrates how technology can (a) support students' engagement in case-based reasoning by helping them organize and analyze data; (b) provide opportunities for students to grow in their mathematical understanding, developing mathematical identities and agency in the process; and (c) enable a classroom culture of sharing and risk-taking. The activity highlights how technology empowers students to take charge of their learning, allowing them to choose strategies and representations with which they are comfortable and giving them freedom to experiment with mathematical ideas without fear of having to be "right." Students analyzed the median income of full-time male and female workers aged 15 and older from 1960 to 2020, given by race, education level, and occupation.

Abstract Productivity benefits from diversity can arise when compatible pathogen hosts are buffered by unrelated neighbors, diluting pathogen impacts. However, the generality of pathogen dilution has been controversial and rarely tested within biodiversity manipulations. Here, we test whether soil pathogen dilution generates diversity- productivity relationships using a field biodiversity-manipulation experiment, greenhouse assays, and feedback modeling. We find that the accumulation of specialist pathogens in monocultures decreases host plant yields and that pathogen dilution predicts plant productivity gains derived from diversity. Pathogen specialization predicts the strength of the negative feedback between plant species in greenhouse assays. These feedbacks significantly predict the overyielding measured in the field the following year. This relationship strengthens when accounting for the expected dilution of pathogens in mixtures. Using a feedback model, we corroborate that pathogen dilution drives overyielding. Combined empirical and theoretical evidence indicate that specialist pathogen dilution generates overyielding and suggests that the risk of losing productivity benefits from diversity may be highest where environmental change decouples plant-microbe interactions.

The implicit association test (IAT) is designed to reduce socially desirable responses and capture implicit associations between two social categories. Prior work has used and expanded on the IAT to capture implicit status beliefs, but tests of the specific images and words used to denote status and gender are lacking. Here, the authors (1) identify specific images to best elicit implicit stereotypical gender differentiation, (2) identify specific words to best distinguish relative status, and (3) assess the test-retest reliability of a full and a brief gender status IAT. First, the authors find that images presented in grayscale, rather than images presented in color, best elicit implicit gender categorization. The authors also identify five male and five female images that best elicit implicit stereotypical gender categorization. Second, the findings show that status words and evaluation words load on unique factors (highlighting that the status words are not merely capturing evaluations), and the authors identify five specific words that best distinguish implicit relative status. Third, the authors find that the standard long-form IAT has a more acceptable test-retest reliability than the brief IAT. The authors conclude with suggestions on how to further refine the measure and how it might be applied in research.

This review paper describes the energy-upgraded Continuous Electron Beam Accelerator Facility (CEBAF) accelerator. This superconducting linac has achieved 12 GeV beam energy by adding 11 new high-performance cryomodules containing 88 superconducting cavities that have operated cw at an average accelerating gradient of 20 MV/m. After reviewing the attributes and performance of the previous 6 GeV CEBAF accelerator, we discuss the upgraded CEBAF accelerator system in detail with particular attention paid to the new beam acceleration systems. In addition to doubling the acceleration in each linac, the upgrade included improving the beam recirculation magnets, adding more helium cooling capacity to allow the newly installed modules to run cold, adding a new experimental hall, and improving numerous other accelerator components. We review several of the techniques deployed to operate and analyze the accelerator performance and document system operating experience and performance. In the final portion of the document, we present much of the current planning regarding projects to improve accelerator performance and enhance operating margins, and our plans for ensuring CEBAF operates reliably into the future. For the benefit of potential users of CEBAF, the performance and quality measures for the beam delivered to each of the experimental halls are summarized in the Appendix.

Abstract Rare-earth and actinide complexes are critical for a wealth of clean-energy applications. Three-dimensional (3D) structural generation and prediction for these organometallic systems remains a challenge, limiting opportunities for computational chemical discovery. Here, we introduce Architector, a high-throughput in-silico synthesis code for s-, p-, d-, and f-block mononuclear organometallic complexes capable of capturing nearly the full diversity of the known experimental chemical space. Beyond known chemical space, Architector performs in-silico design of new complexes including any chemically accessible metal-ligand combinations. Architector leverages metal-center symmetry, interatomic force fields, and tight binding methods to build many possible 3D conformers from minimal 2D inputs including metal oxidation and spin state. Over a set of more than 6,000 x-ray diffraction (XRD)-determined complexes spanning the periodic table, we demonstrate quantitative agreement between Architector-predicted and experimentally observed structures. Further, we demonstrate out-of-the box conformer generation and energetic rankings of non-minimum energy conformers produced from Architector, which are critical for exploring potential energy surfaces and training force fields. Overall, Architector represents a transformative step towards cross-periodic table computational design of metal complex chemistry.

Abstract Research suggests that microbiomes play a major role in structuring plant communities and influencing ecosystem processes, however, the relative roles and strength of change of microbial components have not been identified. We measured the response of fungal, arbuscular mycorrhizal fungal (AMF), bacteria, and oomycete composition 4 months after planting of field plots that varied in plant composition and diversity. Plots were planted using 18 prairie plant species from three plant families (Poaceae, Fabaceae, and Asteraceae) in monoculture, 2, 3, or 6 species richness mixtures and either species within multiple families or one family. Soil cores were collected and homogenized per plot and DNA were extracted from soil and roots of each plot. We found that all microbial groups responded to the planting design, indicating rapid microbiome response to plant composition. Fungal pathogen communities were strongly affected by plant diversity. We identified OTUs from genera of putatively pathogenic fungi that increased with plant family, indicating likely pathogen specificity. Bacteria were strongly differentiated by plant family in roots but not soil. Fungal pathogen diversity increased with planted species richness, while oomycete diversity, as well as bacterial diversity in roots, decreased. AMF differentiation in roots was detected with individual plant species, but not plant family or richness. Fungal saprotroph composition differentiated between plant family composition in plots, providing evidence for decomposer home-field advantage. The observed patterns are consistent with rapid microbiome differentiation with plant composition, which could generate rapid feedbacks on plant growth in the field, thereby potentially influencing plant community structure, and influence ecosystem processes. These findings highlight the importance of native microbial inoculation in restoration.

Baraitser–Winter cerebrofrontofacial syndrome (BWCFF) is a variable multiple congenital anomaly condition, typically presenting postnatally with neurocognitive delays, distinctive facial features, cortical brain malformations, and in some, a variety of additional congenital malformations. However, only a few cases have reported the prenatal presentation of this syndrome. Here, we report two cases of BWCFF and their associated prenatal findings. One case presented with non‐immune hydrops fetalis and a horseshoe kidney and was found to have a de novo heterozygous variant in ACTB (c.158A>G). The second case presented with gastroschisis, bilateral cleft lip and palate, and oligohydramnios, and was found to harbor a different de novo variant in ACTB (c.826G>A). Limited reports exist describing prenatally identified anomalies that include fetal growth restriction, increased nuchal fold, bilateral hydronephrosis, rocker bottom foot, talipes, cystic hygroma, omphalocele, and hydrops fetalis. In addition, only three of these cases have included detailed prenatal imaging findings. The two prenatal cases presented here demonstrate an expansion of the prenatal phenotype of BWCFF to include gastroschisis, lymphatic involvement, and oligohydramnios, which should each warrant consideration of this diagnosis in the setting of additional anomalies. [ABSTRACT FROM AUTHOR]

Objective: To determine the diagnostic performance of ultrasound markers associated with life‐limiting fetal skeletal dysplasia in a fortified cohort. Methods: Retrospective review from 2013 to 2023 of pregnancies with suspected fetal skeletal dysplasia. Ultrasound evaluation included measurements predictive of a life‐limiting dysplasia: thoracic circumference/abdominal circumference (TC/AC) < 0.6, femur length/abdominal circumference (FL/AC) < 0.16, and thoracic circumference (TC) < 2.5th percentile. Demographics, ultrasound findings, genetic testing, and fetal/neonatal outcome were reviewed. Results: Of 96 fetuses with complete outcome data, 47 (49%) had a non‐life‐limiting dysplasia and 49 (51%) had a life‐limiting dysplasia. 22 (23%) had no life‐limiting markers, 42 (44%) had one, 27 (28%) had two, and 5 (5%) had three. FL/AC < 0.16 and TC < 2.5th percentile were associated with life‐limiting dysplasia (p < 0.001; p < 0.001), while TC/AC < 0.6 was rare and did not reach statistical significance (p = 0.056). The positive predictive value (PPV) for predicting life‐limiting dysplasia increased from 50% to 78% to 100% with one, two, or three markers. The PPV of the two life‐limiting markers was significantly higher in those diagnosed at < versus ≥ 28 weeks (90% vs. 43%, p = 0.02) but the analysis was limited by small numbers in the ≥ 28 weeks cohort. The negative predictive value of no life‐limiting markers was 91%. Conclusions: In our cohort, the presence of two life‐limiting ultrasound markers prior to 28 weeks was highly suggestive of a life‐limiting dysplasia, whereas the absence of life‐limiting markers was strongly associated with a non‐life‐limiting dysplasia throughout gestation. Nonetheless, individual markers had a poor predictive value of lethality, and a life‐limiting diagnosis ≥ 28 weeks is challenging based on ultrasound markers alone. This highlights the importance of integrating thorough sonography, genetic testing, and balanced parental counseling. [ABSTRACT FROM AUTHOR]