Abstract Organization redesign often raises a central question: Where are managers needed? A potential substitute for formal supervision by managers is interpersonal cultural alignment, which can ease coordination between colleagues. Yet prior research suggests cultural alignment may also complement formal structure. We theorize that the balance depends on coordinative complexity: Whether culturally aligned individuals benefit from common supervision hinges on how broadly they depend on others to get work done. Cultural alignment can function as a substitute for formal structure when coordinative complexity is low and as a complement when coordinative complexity is high. Focusing on one of the most tangible and consequential forms of cultural alignment—the degree to which individuals are linguistically aligned with their peers in everyday communications—we make predictions about which pairs of colleagues organizational designers will tend to bring together under, versus separate from, a shared supervisor. Using archival data from a design firm, we find support for our theory, with especially strong effects when colleagues are highly visible to their senior managers.

Abstract With the goal of extracting as much information as possible from Chandra and XMM-Newton observations of faint, diffuse sources such as galaxy clusters, as well as those of future X-ray telescopes, we present a strategy for forward modeling all of the foreground and background signals present in these data. This work leverages widespread efforts to understand the soft X-ray emission from the Galaxy, as well as the cosmic X-ray background and instrument-specific, particle-induced backgrounds. Statistically, a forward model of the foregrounds and backgrounds is preferable to alternatives because it requires no binning of the data, and allows for straightforward marginalization over systematic uncertainties. We apply these methods to several galaxy clusters at intermediate-to-high redshifts, spanning a range of masses and morphologies, using Chandra and/or XMM-Newton data. Our results suggest a modest improvement even for relatively bright clusters at these redshifts, and more substantial advantages in the high-redshift, low-surface-brightness regime. We also discuss and provide a simple correction for a time-dependent miscalibration of the Chandra advanced CCD imaging spectrometer detectors identified in archival galaxy cluster data.

Spinal muscular atrophy (SMA) is a devastating neuromuscular disorder caused by mutations in the survival motor neuron 1 (SMN1) gene leading to decreased SMN protein levels and motor neuron dysfunction. SMN-restoring therapies offer clinical benefit, but the downstream molecular consequences of SMN reduction remain incompletely understood. SMN deficiency resulted in downregulation of kinesin heavy chain isoform 5A (KIF5A) in human neurons and in a mouse model of SMA. SMN associated with KIF5A mRNA and contributed to its stability. Reduced SMN levels impaired axon regeneration, which was rescued by KIF5A overexpression. Because KIF5A has also been connected to ALS, these findings provide evidence of a molecular link between SMA and ALS pathophysiology, highlighting KIF5A as an SMN regulated factor. Our findings suggest SMN-independent interventions targeting KIF5A could represent a complementary therapeutic approach for SMA and other motor neuron diseases.

Consumer-grade natural gas leaks contribute to methane-induced climate change and can degrade air quality. However, limited leakage and gas composition data exist outside of North America. Here, we measured stove-off gas leakage in 35 homes and chemically characterized 78 unburned gas samples from residential stoves across seven cities in the United Kingdom, Netherlands, and Italy. On average, benzene in unburned gas was substantially elevated compared to North America (9 to 73 times higher), while sulfur-based odorants were lower. Modeling of indoor and outdoor benzene enhancements from gas leaks showed potential for hazardous benzene exposure, often undetectable by odor. Three of 35 homes exhibited a stove-off leak that, combined with city-median benzene in gas, resulted in modeled benzene enhancements above the European Union's annual limit value (1.6 ppbv). The combination of high benzene and relatively low odorization in natural gas suggests that hazardous leaks are likely underreported in Europe.

ABSTRACT Women with multi-gender attractions (i.e. bisexual+ women) experience alarmingly high rates of sexual violence (SV), which puts women at risk for posttraumatic stress disorder (PTSD). Bisexual+ women experience higher rates of PTSD compared to heterosexual and lesbian/gay people. The PTSD Checklist for DSM-5 (PCL-5) is a widely used self-report measure of PTSD symptoms. We conducted an item response theory (IRT) analysis to evaluate the item difficulty and discrimination of PCL-5 items in assessing PTSD symptoms related to adult SV among young bisexual+ women. We combined two samples of women: sample 1 participants were recruited via MTurk (N = 267; Mage = 25.9, range 18–35; 82.4% White) and sample 2 participants recruited via online ads (N = 133; Mage = 22.0, range 18–25, 85.0% White). Item difficulty and discrimination was evaluated using IRT with a graded response model. At clinically significant levels of PTSD, the most discriminating items were: flashbacks, nightmares, reckless behavior, inability to experience positive emotions, and intrusive memories, whereas the least discriminating items were: internal avoidance, hypervigilance, difficulty with sleep, external avoidance, and exaggerated startle response. The most difficult items were: reckless behavior, flashbacks, traumatic amnesia, nightmares, and irritability, whereas the least difficult items were: internal avoidance, cued emotional distress, external avoidance, hypervigilance, and strong negative emotions. Results suggest that symptoms related to flashbacks, nightmares, and reckless behavior are important for assessing clinically significant SV-related PTSD symptoms among young bisexual+ women, whereas symptoms related to internal and external avoidance and hypervigilance may be relatively less informative.

Clinics continue to adopt care models shaped by the algorithmic analysis of continuous glucose monitoring (CGM) data, such as remote patient monitoring for type 1 diabetes. No clinic-facing quantitative framework currently exists to track the impact of such algorithm-directed care on patient outcomes and clinical workload. We used CGM data from the Teamwork, Targets, Technology, and Tight Control (4T) Study (Pilot n=135 and Study 1 n=133), in which algorithms enable precision, whole-population care by directing clinician attention to patients with deteriorating glucose management. Youth meeting criteria for clinical review are then contacted by Certified Diabetes Care and Education Specialists. Through iterative data analysis and meetings with a variety of stakeholders, we identified metrics for reviewing and revising clinical workloads, glucose management, and timeliness of care. For each metric, we developed an interactive dashboard to provide clinical and administrative leaders with an overview of the program. The metrics to track clinical workload were the total number of youths (1) in the program, (2) in each study, and (3) cared for by each clinician. The metrics to track glucose management were the number of youths meeting each criterion for review, including (4) total, (5) for each clinician, and (6) for each study. The metric to track timeliness of care was (7) the number of days since meeting criteria for clinical review. When presented at regular program leadership meetings, the metrics facilitated data-driven decision-making about clinical and operational components of the program. In this paper, we describe the process of developing and operationalizing this reproducible, clinician-facing key performance indicator tool to monitor an algorithm-enabled remote patient monitoring program. As the role of algorithms grows in directing clinical effort and prioritizing patients for care, this framework may help clinics track clinical workload, patient outcomes, and the timeliness of care.

It is important to appropriately capture the uncertainty associated with ground motion predictions. This study evaluates the component‐to‐component variability of 5%—damped response spectral ordinates using 4331 horizontal ground motions recorded in strike‐slip earthquakes. This variability is quantified relative to three scalar measures of central tendency of ground motion intensity (namely, geometric mean, RotD50, and MaxRotD50). The influence of earthquake magnitude, source‐to‐site distance, and the spatial distribution of recording stations relative to the epicenter on the component‐to‐component variability around each scalar measure is also studied. When combined with within‐event and between‐event variabilities, component‐to‐component variability allows the quantification of the total uncertainty of the random horizontal component, which better represents demand on a structure. The definition used in the past to quantify component‐to‐component variability was found to be sensitive to the orientation of horizontal sensors, leading to under‐ or over‐estimation depending on the orientation of the as‐recorded components relative to the orientation of maximum spectral response at a given station. Equations for component‐to‐component variability that are independent of the orientation of the sensors are proposed to obtain the total variability of the randomly oriented horizontal component from either the geometric mean or the RotD50. Compared to the commonly used equation, the proposed equations yield larger variabilities in the medium‐ to long‐period ranges and have smaller event‐to‐event variability.

Systemic lupus erythematosus (SLE) primarily affects women of reproductive age, necessitating complex conversations surrounding pregnancy and contraception use. Hispanic women in the USA bear a disproportionate and severe burden of SLE, facing language and cultural barriers to care, and higher rates of unplanned pregnancy and under-representation in reproductive health research. This study explores patient-reported barriers and facilitators to reproductive health conversations as well as their attitudes and perceptions on how these conversations can be improved. We conducted 30 semistructured interviews in both English and Spanish with Hispanic women aged 18-45 with SLE. Participants were recruited from Los Angeles General Medical Center and Lupus LA. Eligible participants were heterosexually active or considering pregnancy within 3 years. Interviews were analysed using grounded theory to identify themes related to barriers and facilitators in clinical reproductive health interactions. Three major themes emerged: (1) barriers to reproductive health conversations were often driven by competing clinical priorities as well as discomfort discussing sensitive topics; (2) facilitators to reproductive health conversations included the presence of genuine clinician-patient rapport, well-controlled disease activity and patient proactiveness; (3) areas of improvement included both a more encompassing and thorough data-driven approach to reproductive health discussions throughout disease course. Findings reported herein underscore the importance of early, individualised reproductive health counselling for women with SLE. Enhanced clinician communication with sensitive topics, refined patient education and frequent interdisciplinary collaboration can help address the emotional, medical and informational needs of Hispanic women with SLE navigating reproductive decisions.

Cognitive models of attention deficit hyperactivity disorder (ADHD) have traditionally centered on deficits in inhibitory control and motivation. A substantial body of empirical research supports impairments in both domains: children with ADHD exhibit elevated commission error rates, prolonged stop-signal reaction time, and a strong preference for smaller immediate rewards over larger delayed ones. In the first part of this review, we synthesize key findings from behavioral and task-state functional neuroimaging studies that characterize these deficits, highlighting how deficits in inhibitory control and motivation/reward systems manifest across tasks and contexts. We further examine evidence on the interplay between the two systems and how their interaction is altered in children with ADHD. In the second part, we introduce recent advances in cognitive and computational neuroscience that extend classic neurocognitive models by incorporating dynamic perspectives. Specifically, we describe the dynamic dual-control framework, which distinguishes between proactive and reactive inhibitory control, and highlight dynamics of trial-by-trial adaptive response strategy adjustment. We also review emerging computational models that can identify latent brain states and their evolution during task performance, revealing novel neurodynamic mechanisms that may underlie cognitive instability in ADHD. Additionally, we discuss pharmacological studies that shed light on how the inhibitory control and motivation/reward systems are modulated by medication. Finally, we address current limitations and challenges in ADHD research, with a particular focus on task-state functional neuroimaging, and propose future directions for advancing the field. By integrating dynamic modeling approaches with established neurocognitive frameworks, this review aims to deepen our understanding of the brain mechanisms underlying ADHD and to inform the development of more precise and effective interventions.

Nonorganic neuro-ophthalmic disorders present with visual or ocular motor symptoms that are incompatible with a causal organic pathophysiology. This review summarizes modern terminology, clinical presentation, prognosis, and epidemiology of these conditions. This review also proposes a stepwise approach for managing nonorganic ophthalmic conditions in children and adolescents. Recommendations are offered to help clinicians perform a complete ophthalmological examination, identify the functional consequences of the disorder, briefly evaluate the psychosocial context, present the diagnosis, and offer education about the condition. The importance of multidisciplinary collaboration is emphasized in more complex cases. Practical recommendations are offered to facilitate collaboration with mental health professionals and to support the rehabilitation process. This review also offers recommendations to help clinicians communicate with patients and families.