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Human cognitive abilities are generally thought to arise from cortical expansion over the course of human brain evolution. In addition to increased neuron numbers, this cortical expansion might be driven by adaptations in the properties of single neurons and their local circuits. We review recent findings on the distinct structural, functional, and transcriptomic features of human cortical neurons and their organization in cortical microstructure. We focus on the supragranular cortical layers, which showed the most prominent expansion during human brain evolution, and the properties of their principal cells: pyramidal neurons. We argue that the evolutionary adaptations in neuronal features that accompany the expansion of the human cortex partially underlie interindividual variability in human cognitive abilities.

In 2019, the inaugural editorial of

Race and ethnicity affect judgments and outcomes at many stages of the criminal justice and legal process, accumulating into significant disparities in incarceration rates for Black and Latinx defendants. This chapter provides an overview of recent research about the influence of race and ethnicity on trial outcomes and processes. Prosecutors often strike potential jurors of color, lowering diversity in juries. Juries with larger numbers of White jurors, in turn, may be more likely to convict defendants of color. Judges are more likely to give sentences involving incarceration to defendants of color, and both prosecutorial and jury biases contribute to racial disparities in the death penalty. Understanding biases in legal outcomes requires intersectional analyses that examine race in conjunction with other identities and consideration of multiple forms of bias (explicit, implicit, and structural). The chapter also discusses recent legal developments related to racial and ethnic disparities and directions for future research.

During the COVID-19 pandemic, misinformation and distrust exacerbated disparities in vaccination rates by race and ethnicity throughout the United States. Primary care, public health systems, and community health centers have shifted their vaccination outreach strategies toward these disparate, unvaccinated populations. To support primary care, we developed the SAVE Sprint model for implementing rapid-cycle change to improve vaccination rates by overcoming community outreach barriers and workforce limitations. Participants were recruited for the 10-week SAVE Sprint program through partnerships with the National Association of Community Health Centers (NACHC) and the Resilient American Communities (RAC) Initiative. The majority of the participants were from community health centers. Data were evaluated during the program through progress reports and surveys, and interviews conducted three months post-intervention were recorded, coded, and analyzed. The SAVE Sprint model of rapid-cycle change exceeded participants’ expectations and led to improvements in patient education and vaccination among their vulnerable populations. Participants reported building new skills and identifying strategies for targeting specific populations during a public health emergency. However, participants reported that planning for rapid-pace change and trust-building with community partners prior to a health care crisis is preferable and would make navigating an emergency easier.

We present the first application of the made-to-measure method for modelling dynamical systems to globular clusters. Through the made-to-measure algorithm, the masses of individual particles within a model cluster are adjusted while the system evolves forward in time via a gravitational $N$-body code until the model cluster is able to reproduce select properties of an observed cluster. The method is first applied to observations of mock isotropic and anisotropic clusters while fitting against the cluster's three dimensional or projected density profile, density weighted mean-squared velocity profile, or its density profile with individual mean-squared velocity profiles. We find that a cluster's three-dimensional density profile can easily be reproduced by the made-to-measure method, with minor discrepancies in the outer regions if fitting against a cluster's projected surface density or projected kinematic properties. If an observed cluster is anisotropic, only fitting against the cluster's density profile and individual mean-squared velocity profiles will fully recover the full degree of anisotropy. Partial anisotropy can be recovered as long as two kinematic properties are included in the fit. We further apply the method to observations of the Galactic globular cluster M4 and generate a complete six-dimensional representation of the cluster that reproduces observations of its surface density profile, mean-squared proper motion velocity profile, and mean-squared line of sight velocity profile. The M2M method predicts M4 is primarily isotropic with a mass of $9.2 \pm 0.4 \times 10^4\, M_{\odot}$ and a half-mass radius of $3.7 \pm 0.1$ pc., 11 pages, 10 figures, submitted to MNRAS for publication

A new class of electron bean negative tone resist materials has been developed based on heterometallic rings. The initial resist performance demonstrates a resolution of 15 nm half-pitch but at the expense of a low sensitivity. To improve sensitivity a 3D Monte Carlo simulation is used that utilizes a secondary and Auger electron generation model. The simulation suggests that the sensitivity can be dramatically improved while maintaining high resolution by incorporating appropriate chemical functionality around the metal–organic core. The new resists designs based on the simulation have the increased sensitivity expected and illustrate the value of the simulation approach.

Many colonoscopies following a positive fecal immunochemical test (FIT) will not identify a probable cause for fecal blood, and missed neoplasia is a concern. The study determined whether the absence of neoplasia at a FIT positive diagnostic colonoscopy was due to a missed lesion and whether the initial FIT hemoglobin (f-Hb) concentration could predict missed lesions. This was a retrospective audit of patients who had undergone diagnostic colonoscopy after FIT screening (2 sample ≥ 20 µg Hb/g feces). Probable bleeding lesions including cancer, advanced adenoma, colitis, and angiodysplasia were considered a “positive colonoscopy outcome.” For those with a negative outcome, findings at the subsequent colonoscopy were assessed. There were 1087 good quality colonoscopies within 12 months of a positive FIT. In total, 171 (15.7%) patients had a positive outcome at the diagnostic colonoscopy. Subsequent colonoscopies of negative outcome cases (n = 418, median of 3.1y later) were reviewed; of these, there were 57 (13.6%) cases with a positive outcome. This included CRC in 0.5% (n = 2) and advanced adenoma in 11.7% (n = 49). High f-Hb and having both FIT samples ≥ 20 µg/g feces were associated with a positive outcome at the original diagnostic colonoscopy (p

{\it Gaia} Data Release 2 (DR2) revealed that the Milky Way contains significant indications of departures from equilibrium in the form of asymmetric features in the phase space density of stars in the Solar neighborhood. One such feature is the $z$--$v_z$ phase spiral, interpreted as the response of the disk to the influence of a perturbation perpendicular to the disk plane, which could be external (e.g., a satellite) or internal (e.g., the bar or spiral arms). In this work we use {\it Gaia} DR3 to dissect the phase spiral by dividing the local data set into groups with similar azimuthal actions, $J_\phi$, and conjugate angles, $\theta_\phi$, which selects stars on similar orbits and at similar orbital phases, thus having experienced similar perturbations in the past. These divisions allow us to explore areas of the Galactic disk larger than the surveyed region. The separation improves the clarity of the $z$--$v_z$ phase spiral and exposes changes to its morphology across the different action-angle groups. In particular, we discover a transition to two armed `breathing spirals' in the inner Milky Way. We conclude that the local data contains signatures of not one, but multiple perturbations with the prospect to use their distinct properties to infer the properties of the interactions that caused them., Comment: 5 pages, 3 figures, accepted in MNRAS letters

On April 15, 2013, two bombs were ignited near the finish line of the Boston Marathon, killing three people and injuring hundreds. The news “frames” used to depict the Boston Marathon bombings have...

INTRODUCTION Children with Autism Spectrum Disorder (ASD) frequently experience a range of comorbidities alongside their condition. Particularly, sleep problems and anxiety disorders are highly prevalent, and often co-occur. The present study aimed to determine if using a mindfulness app before bed could reduce overall anxiety and improve sleep quality in children with ASD. METHOD Twelve children aged 7 to 12 with an ASD diagnosis participated in a blinded two-week controlled trial testing the use of two apps before bed. Children were allocated to the experimental mindfulness app or the active sleep melodies control app via counterbalancing. RESULTS Results of 2x2 mixed model ANOVAs revealed significant pre-post improvements in both apps for parent-reported sleep problems (p < 0.05), and a significant interaction effect for parent-reported pre-sleep arousal (p DISCUSSION Potential reasons for significant improvements in the active control group may have been due to the personalised choice of sounds/melodies for the active control app, or difficulty with the comprehension of instructions in the mindfulness app for ASD children. Overall, these results provide preliminary evidence of the general benefits of using apps to aid with sleep in children with ASD.

The distance to the Galactic centre R0 is a fundamental parameter for understanding the Milky Way, because all observations of our Galaxy are made from our heliocentric reference point. The uncertainty in R0 limits our knowledge of many aspects of the Milky Way, including its total mass and the relative mass of its major components, and any orbital parameters of stars employed in chemo-dynamical analyses. While measurements of R0 have been improving over a century, measurements in the past few years from a variety of methods still find a wide range of R0 being somewhere within 8.0 to $8.5\, \mathrm{kpc}$. The most precise measurements to date have to assume that Sgr A* is at rest at the Galactic centre, which may not be the case. In this paper, we use maps of the kinematics of stars in the Galactic bar derived from APOGEE DR17 and Gaia EDR3 data augmented with spectrophotometric distances from the astroNN neural-network method. These maps clearly display the minimum in the rotational velocity vT and the quadrupolar signature in radial velocity vR expected for stars orbiting in a bar. From the minimum in vT, we measure $R_0 = 8.23\pm 0.12\, \mathrm{kpc}$. We validate our measurement using realistic N-body simulations of the Milky Way. We further measure the pattern speed of the bar to be $\Omega _\mathrm{bar} = 40.08\pm 1.78\, \mathrm{km\, s}^{-1}\,\mathrm{kpc}^{-1}$. Because the bar forms out of the disc, its centre is manifestly the barycentre of the bar+disc system and our measurement is therefore one of the most robust and accurate measurements of R0 to date.

PurposeThis article presents a case study of Kelly, a third-grade teacher enrolled in a literacy leadership course within a Master of Reading program. In this course, practicing teachers completed an assignment in which they implemented a literacy coaching cycle with a colleague, video-recorded their interaction, and conducted critical discourse analysis (CDA) of the interaction. The authors explore how engaging in CDA influenced Kelly's enactment of professional identities as she prepared to be a literacy leader.Design/methodology/approachData presented in this article are taken from a larger study of four white, middle-class teachers enrolled in the course. Data sources included the students' final paper and semistructured interviews. The researchers used qualitative coding methods to analyze all data sources, identify prominent themes, and select Kelly as a focal participant for further analysis.FindingsFindings indicate that Kelly's confidence as a literacy leader grew after participating in the coaching cycle and conducting CDA. Through CDA, Kelly explored how prominent discourses of teaching and learning, particularly those relating to novice and expert status, influenced Kelly in-the-moment coaching interactions.Originality/valuePrevious literacy coaching research suggests that literacy coaches need professional learning opportunities that support a deep understanding of coaching stances and discursive moves to effectively support teachers. The current study suggests that CDA may be one promising method for engaging literacy coaches in such work because it allows coaches to gain understandings about how discourses of teaching and learning function within coaching interactions.

BACKGROUND: In response to the complexity, challenges, and slow pace of innovation, healthcare organizations are adopting interdisciplinary team approaches. Systems engineering, which is oriented to creating new, scalable processes that perform with higher reliability and lower costs, holds promise for driving innovation, in the face of challenges to team performance. A patient safety learning lab can be an essential aspect of fostering interdisciplinary team innovation across multiple projects and organizations by creating an ecosystem focused on deploying systems engineering methods to accomplish process redesign. PURPOSE: Our study sought to identify the role and activities of a learning ecosystem that support interdisciplinary team innovation through evaluation of a patient safety learning lab. METHODS: Our study included three participating learning lab project teams. We applied a mixed-methods approach using a convergent design that combined data from qualitative interviews of team members conducted as teams neared the completion of their redesign projects, as well as evaluation questionnaires administered throughout the four-year learning lab. RESULTS: Our results build on learning theories by showing that successful learning ecosystems continually create alignment between interdisciplinary teams’ activities, organizational context, and innovation project objectives. The study identified four types of alignment: interpersonal/interprofessional, informational, structural, and processual, and supporting activities for alignment to occur. CONCLUSION: Interdisciplinary learning ecosystems have the potential to foster healthcare improvement and innovation through alignment of team activities, project goals, and organizational contexts. PRACTICE IMPLICATIONS: This study applies to interdisciplinary teams tackling multi-level system challenges in their healthcare organization and suggests that the work of such teams benefits from the four types of alignment. Alignment on all four dimensions may yield best results.

We present a novel method for constraining the length of the Galactic bar using 6D phase space information to directly integrate orbits. We define a pseudo-length for the Galactic bar, named $R_{Freq}$, based on the maximal extent of trapped bar orbits. We find the $R_{Freq}$ measured from orbits is consistent with the $R_{Freq}$ of the assumed potential only when the length of the bar and pattern speed of said potential is similar to the model from which the initial phase-space coordinates of the orbits are derived. Therefore, one can measure the model's or the Milky Way's bar length from 6D phase-space coordinates by determining which assumed potential leads to a self-consistent measured $R_{Freq}$. When we apply this method to $\approx$210,000 stars in APOGEE DR17 and $Gaia$ eDR3 data, we find a consistent result only for potential models with a dynamical bar length of $\approx$3.5 kpc. We find the Milky Way's trapped bar orbits extend out to only $\approx$3.5 kpc, but there is also an overdensity of stars at the end of the bar out to 4.8 kpc which could be related to an attached spiral arm. We also find that the measured orbital structure of the bar is strongly dependent on the properties of the assumed potential., Comment: 15 pages, 8 figures, 2 tables, accepted to MNRAS, comments welcome

Human leukocyte Ig-like receptors (LILR) LILRB1 and LILRB2 are immune checkpoint receptors that regulate a wide range of physiological responses by binding to diverse ligands, including HLA-G. HLA-G is exclusively expressed in the placenta, some immunoregulatory cells, and tumors and has several unique isoforms. However, the recognition of HLA-G isoforms by LILRs is poorly understood. In this study, we characterized LILR binding to the β2-microglobulin (β2m)-free HLA-G1 isoform, which is synthesized by placental trophoblast cells and tends to dimerize and multimerize. The multimerized β2m-free HLA-G1 dimer lacked detectable affinity for LILRB1, but bound strongly to LILRB2. We also determined the crystal structure of the LILRB1 and HLA-G1 complex, which adopted the typical structure of a classical HLA class I complex. LILRB1 exhibits flexible binding modes with the α3 domain, but maintains tight contacts with β2m, thus accounting for β2m-dependent binding. Notably, both LILRB1 and B2 are oriented at suitable angles to permit efficient signaling upon complex formation with HLA-G1 dimers. These structural and functional features of ligand recognition by LILRs provide novel insights into their important roles in the biological regulations.

As a result of surveying effort since 2015, I herein report 7 species of Zygaenoidea from Block Island, a small offshore island in southern New England with a history of intensive agricultural use. I quantify species phenology and local abundance, compare the island's fauna to those of nearby landmasses and the broader region, and discuss possible future colonization of Block Island by additional species as well as the likely factors behind the composition of the island's zygaenoid fauna.

Efforts to make research environments more inclusive and diverse are beneficial for the next generation of Great Lakes researchers. The global COVID-19 pandemic introduced circumstances that forced graduate programs and academic institutions to re-evaluate and promptly pivot research traditions, such as weekly seminar series, which are critical training grounds and networking opportunities for early career researchers (ECRs). While several studies have established that academics with funded grants and robust networks were better able to weather the abrupt changes in research and closures of institutions, ECRs did not. In response, both existing and novel partnerships provided a resilient network to support ECRs at an essential stage of their career development. Considering these challenges, we sought to re-frame the seminar series as a virtual collaboration for ECRs. Two interdisciplinary graduate programs, located in different countries (Windsor, Canada, and Detroit, USA) invested in a year-long partnership to deliver a virtual-only seminar series that intentionally promoted: the co-creation of protocols and co-led roles, the amplification of justice, equity, diversity and inclusion throughout all aspects of organization and representation, engagement and amplification through social media, the integration of social, scientific and cultural research disciplines, all of which collectively showcased the capacity of our ECRs to lead, organize and communicate. This approach has great potential for application across different communities to learn through collaboration and sharing, and to empower the next generation to find new ways of working together.

Investigate associations of natural environmental exposures with exudative and nonexudative age-related macular degeneration (AMD) across the United States.Database study.Patients aged ≥ 55 years who were active in the IRIS Registry from 2016 to 2018 were analyzed. Patients were categorized as nonexudative, inactive exudative, and active exudative AMD by International Classification of Diseases 10Environmental data were obtained from public sources including the US Geological Survey, National Renewable Energy Laboratory, National Oceanic and Atmospheric Administration, and Environmental Protection Agency. Multiple variable, mixed effects logistic regression models with random intercepts per ZIP code tabulation area quantified the association of each environmental variable with any AMD versus non-AMD patients, any exudative AMD versus nonexudative AMD, and active exudative AMD versus inactive exudative and nonexudative AMD using 3 separate models, while adjusting for age, sex, race, insurance type, smoking history, and phakic status.Odds ratios for environmental factors.A total of 9 884 527 patients were included. Elevation, latitude, solar irradiance measured in global horizontal irradiance (GHI) and direct normal irradiance (DNI), temperature and precipitation variables, and pollution variables were included in our models. Statistically significant associations with active exudative AMD were GHI (odds ratio [OR], 3.848; 95% confidence interval [CI] with Bonferroni correction, 1.316-11.250), DNI (OR, 0.581; 95% CI, 0.370-0.913), latitude (OR, 1.110; 95% CI, 1.046-1.178), ozone (OR, 1.014; 95% CI, 1.004-1.025), and nitrogen dioxide (OR, 1.005; 95% CI, 1.000-1.010). The only significant environmental associations with any AMD were inches of snow in the winter (OR, 1.005; 95% CI, 1.001-1.009) and ozone (OR, 1.011; 95% CI, 1.003-1.019).The strongest environmental associations differed between AMD subgroups. The solar variables GHI, DNI, and latitude were significantly associated with active exudative AMD. Two pollutant variables, ozone and nitrogen dioxide, also showed positive associations with AMD. Further studies are warranted to investigate the clinical relevance of these associations. Our curated environmental dataset has been made publicly available at https://github.com/uw-biomedical-ml/AMD_environmental_dataset.

Scholarly research examining social networking and well-being have provided contradictory results, suggesting that further research explore the complex relationships between antecedents, behavior, and well-being outcomes. In this study, we assess how attitudes toward social networking and SNS use influence emotional well-being by surveying a sample of U.S. adults (N = 500). We apply theories of technology adoption and media choice to explicate the role of communication attitudes in predicting behavioral outcomes. The results of our structural equation model demonstrate that SNS use negatively impacts users’ emotional well-being. Social connection, ease of use, and confidence attitudes increase SNS use and have an indirect influence on well-being. The theoretical and practical implications of these findings as well as future directions for research involving frequent SNS use and emotional well-being are discussed.

Ship designers use experience and standards to guide their solutions to technical problems. Automation and optimization algorithms, despite their limited exposure in the maritime industry, could reduce this effort and help make trade-offs between new technologies. Marine electrical systems are procedurally designed with repetitive calculations, while marine power plants are designed by best practices and time-intensive trade-off studies. We developed a marine engineering design tool that aids with electrical system and power plant design, combining automation and optimization to minimize engineering time. This tool could prove valuable for the concept phase of ship design, allowing engineers to draft and evaluate options quickly and easily. We demonstrated that automation and optimization are applicable to complex design problems in the marine industry and accessible at the undergraduate level.

In 2010 the US-Affiliated Pacific Islands (USAPI) declared a regional state of health emergency due to the epidemic of non-communicable disease (NCD) and an NCD monitoring and surveillance framework was developed that includes adult NCD risk factor and disease prevalence indicators to be collected every 5 years using a population-based survey. On evaluation of existing data from adult population-based NCD surveys, it was found that there was a lack of valid, available and consistently collected data. Therefore, a new model was developed to combine various indicators and survey tools from different partner agencies into one survey. After the report was endorsed by local health leadership, a dissemination workshop was conducted. In 2015 (baseline for Hybrid Survey implementation), three out of nine jurisdictions (33.3%) had completed a population-based survey in the past 5 years. Four (44.4%) had no adult prevalence data at all, two (22.2%) had data sets from their surveys and four (44.4%) had at least two surveys ever collected that could be used for comparison. As of 2020, all nine jurisdictions have, or are in the process of completing an adult population-based survey. Eight (88.9%) have data sets from their surveys, and five (55.6%) have at least two surveys collected that can be used for comparison. This Hybrid Survey model has helped to improve adult NCD surveillance in the USAPI by more efficiently using limited resources. This model could be considered in other small island nations, or rural areas where adult NCD surveillance is challenging.

To investigate the incidence, seasonal variation, and differences among age, sex, and race for rhegmatogenous retinal detachment (RRD) repair, retinal break (RB) treatment, and posterior vitreous detachment (PVD) in the Intelligent Research in Sight (IRIS) Registry.Retrospective database study.Patients in the IRIS Registry who underwent RRD repair, RB treatment, or cataract surgery (CS) based on Current Procedural Terminology codes and PVD diagnosis based on International Classification of Diseases, Ninth and Tenth Revision, codes.Daily incidence rates were defined as the ratio of patients who underwent RRD repair or RB treatment and patients with a diagnosis of PVD to the total number of patients followed on a given day within the IRIS Registry. The CS group was included as a comparison for seasonal variation. Rates were stratified by decade of life, sex, and race.Time series trends for incidence rates of RRD, RB, and PVD.A total of 7 115 774 patients received a diagnosis of incident PVD, 237 646 patients underwent RRD repair, and 359 022 patients underwent RB treatment. Also included were 5 940 448 patients who underwent CS. The mean daily incidence for RRD repair, RB treatment, PVD diagnosis, and CS were 0.46 per 100 000 patients, 0.70 per 100 000 patients, 13.90 per 100 000 patients, and 11.80 per 100 000 patients, respectively. Men showed higher incidence of RRD repair and RB treatment than women, whereas women showed higher incidence of PVD diagnosis. Rhegmatogenous retinal detachment incidence was higher in White people compared with other races. Seasonal decreases in PVD, RB treatment, RRD repair, and CS corresponded to national holidays, with larger decreases in winter months. Kaplan-Meier estimates showed that RRD repair and RB treatment typically occurred within 60 days of PVD diagnosis.Within the IRIS Registry, the highest incidence of RRD was in the 6th and 7th decade of life. There was a higher incidence of RRD repair and RB treatment in men compared with women. The seasonal variation associated with national holidays was less pronounced for RRD repair and RB treatment.

Given the widespread presence of non-native vegetation in urban and Mediterranean watersheds, it is important to evaluate how these sensitive ecosystems will respond to activities to manage and restore native vegetation conditions. This research focuses on Del Cerro, a tributary of the San Diego River in California, where non-native vegetation dominates the riparian zone, creating flooding and fire hazards. Field data were collected in 2018 to 2021 and consisted of water depth, streamflow, and stream temperature. Our data set also captured baseline conditions in the floodplain before and after the removal of burned non-native vegetation in November 2020. Observed changes in hydrologic and geomorphic conditions were used to parameterize and calibrate a two-dimensional hydraulic model to simulate urban floodplain hydraulics after vegetation removal. We utilized the U.S. Army Corps of Engineers’ Hydrologic Engineering Center River Assessment System (HEC-RAS) model to simulate the influence of canopy loss and vegetation disturbance and to assess the impacts of vegetation removal on stream restoration. We simulated streamflow, water depth, and flood extent for two scenarios: (1) 2019; pre-restoration where non-native vegetation dominated the riparian area, and (2) 2021; post-restoration following the removal of non-native vegetation and canopy. Flooding after restoration in 2021 was more frequent compared to 2019. We also observed similar flood extents and peak streamflow for storm events that accumulated half the amount of precipitation as pre-restoration conditions. Our results provide insight into the responses of small urban stream reaches to the removal of invasive vegetation and canopy cover.

The anthelmintic ivermectin has been reported to possess anticancer and antiviral efficacy. However, the effective concentrations reported in vitro are near the predicted aqueous solubility limit for this hydrophobic drug. We observed that ivermectin-induced cell death in two cervical cancer cell lines correlated with the formation of solid ivermectin aggregates in both serum-free and serum-supplemented culture media. Filtration of ivermectin particles0.2 μm abolished these cytolytic effects in both cell lines. An inhibitory effect on cell proliferation persisted for filtered solutions, but only for ivermectin concentrations higher than reported to be clinically attainable in humans. In addition to the importance of distinguishing between free and bound drug in solution, our data emphasize the importance of acknowledging the likely solubility limit of hydrophobic drugs when assessing their in vitro cytotoxicity.

Motherhood induces a drastic, sometimes long-lasting, change in internal state and behavior in most female animals. How a change in reproductive state or the discrete event of mating modulates specific female behaviors is still incompletely understood. Using calcium imaging of the whole brain of Drosophila females, we find that mating does not induce a global change in brain activity. Instead, mating modulates the pheromone response of dopaminergic neurons innervating the fly’s learning and memory center, the mushroom body (MB). Using the mating-induced increased attraction to the odor of important nutrients, polyamines, we show that disruption of the female fly’s ability to smell, for instance the pheromone cVA, during mating leads to a reduction in polyamine preference for days later indicating that the odor environment at mating lastingly influences female perception and choice behavior. Moreover, dopaminergic neurons including innervation of the β’1 compartment are sufficient to replace mating experience in virgin females inducing the lasting behavioral increase in polyamine preference. We further show that MB output neurons (MBON) of the β’1 compartment are activated by pheromone odor and their activity during mating bidirectionally modulates preference behavior in mated and virgin females. Their activity is not required, however, for the expression of polyamine attraction. Instead, inhibition of another type of MBON innervating the β’2 compartment enables expression of high polyamine attraction. In addition, the response of a lateral horn (LH) neuron, AD1b2, which output is required for the expression of polyamine attraction, shows a modulated polyamine response after mating. Taken together, our data in the fly suggests that mating-related sensory experience regulates female odor perception and expression of choice behavior through a dopamine-gated learning circuit.

The ongoing merger of the Sagittarius (Sgr) dwarf galaxy with the Milky Way is believed to strongly affect the dynamics of the Milky Way's disc. We present a suite of 13 $N$-body simulations, with 500 million to 1 billion particles, modelling the interaction between the Sagittarius dwarf galaxy (Sgr) and the Galactic disc. To quantify the perturbation to the disc's structure and dynamics in the simulation, we compute the number count asymmetry and the mean vertical velocity in a solar-neighbourhood-like volume. We find that overall the trends in the simulations match those seen in a simple one-dimensional model of the interaction. We explore the effects of changing the mass model of Sgr, the orbital kinematics of Sgr, and the mass of the Milky Way halo. We find that none of the simulations match the observations of the vertical perturbation using Gaia Data Release 2. In the simulation which is the most similar, we find that the final mass of Sgr far exceeds the observed mass of the Sgr remnant, the asymmetry wavelength is too large, and the shape of the asymmetry doesn't match past $z \approx 0.7$ kpc. We therefore conclude that our simulations support the conclusion that Sgr alone could not have caused the observed perturbation to the solar neighbourhood., ApJ, in press

The field of literacy research has seen a recent surge in scholarship focusing on how matter—both human and nonhuman—comes to matter in literacy research and practice. This article explores how new materialist theories may be recruited for literacy research motivated by an anti-racist ethic. We present an illustrative intra-action analysis of a short autobiographical video produced by Malcolm, a Black male high school student, for a digital autobiography class assignment. Our analysis, informed by both new materialist and poststructuralist theories and emphasizing both discourse and materiality, produces varied interpretations of Malcolm and his literacy practices. Based on our multitheoretic analysis, we raise ethical concerns regarding analyses of racialized students’ literacy practices that emphasize materiality and affect without also retaining a critical eye toward powerful discourses of race and racism. We end with implications and recommendations for others engaging new materialisms in literacy research.

The absence of social studies curriculum is a problem because it undermines the essential purposes of schooling: to prepare participatory, contributing members of a democratic society. In this arti...

Person perception is an integral aspect of human communication and is increasingly relevant in computer-mediated communication (CMC) because of the mobile and ubiquitous nature of mediated communic...

Research, development, testing, and operator training of large agricultural harvesting equipment has become increasingly expensive and complex. Operational simulators can offset these costs, but it is critical to evaluate the fidelity of the simulator experience to ensure that it will lead to operator behaviors that match those in the real world. This research describes a validation process for new visual cues within simulators and focuses on the presentation and fidelity of cues in a combine harvest simulator. The fully functional immersive combine simulator in this work provides a mixed-reality interface that combines a physically accurate operator interface with displays of virtual reality (VR) combine header and grain. Grain combine operators participated to assess how well they perceived the VR cues as representing actual field and crop activity. Results showed that operators successfully identified 85% of the visual cues in the combine simulator and recognized when these cues indicated machine settings adjustment needs but that operators' ability to choose the correct action to take correlated with their knowledge of the combine. Results also showed wide variation in the number of the grain combine’s head reel adjustments made by operators, likely reflecting strong individual preferences or habits around reel adjustment. Operators' number of adjustment interactions with the reel was also significantly correlated with the number of correct actions chosen, suggesting that careful attention to the reel is related to good farming performance. This research demonstrates the importance of taking operator knowledge and preferences into account when designing new agricultural products and offers a systematic method of validating cues within an agricultural simulator.

A techno-rational perspective of teaching and learning is common as teachers are increasingly inundated with messages of measurement, standardization, and accountability. Within this perspective, teacher development is seen as mastery of skills, teachers’ learning is conceptualized as linear with a predetermined and predictable trajectory, and the role of literacy coach is limited to supporting the implementation of best practices. In this article, the author employs a microethnographic approach to discourse analysis to explore how literacy coaches and teachers negotiate discourses of teacher development during coaching interactions. Findings highlight how dominant discourses of teacher development may constrain professional learning interactions. The author argues that a flexible view of teacher development as breaking away may foster more meaningful professional learning, support coaching relationships, and spur instructional innovation.