Search

This study investigates the complexities faced by emergency managers in wildfire-prone areas to uncover pressing issues and potential solutions. Four themes are discerned through three focus group discussions with emergency managers from nine counties across California. First, there is unequal access to resources for both risk assessment and response, with counties that have fewer resources facing significant challenges in effectively managing wildfire risks. Second, effective risk communication depends on the available resources and the unique characteristics of each community. Participants stress the need for improved communication tools to reach vulnerable groups (e.g., seniors, individuals with disabilities, non-English-speaking residents). Third, the complexity and confusion surrounding multi-level collaboration in wildfire management is a recurring theme. Participants note that unclear roles and responsibilities between state and federal agencies hinder response efforts, underscoring the need for better coordination and transparent communication at all levels. Fourth, innovative responses (e.g., creative evacuation strategies, collaborative efforts) are recognized as imperative for managing wildfires and their cascading impacts in resource-constrained areas. The findings highlight that achieving equitable and effective preparation, response, and resilience for vulnerable communities requires a comprehensive understanding of wildfire severity and community susceptibility, coupled with active collaboration among emergency managers, policymakers, and both governmental and non-governmental organizations.

This paper documents the design and application of ATLAS (Automobile and Technology Lifecycle-Based ASsignment), a comprehensive household vehicle transaction and technology adoption micro-simulator in the San Francisco Bay Area. ATLAS evolves the fleet mix of individual households by simulating the vehicle transaction and choice decisions in response to co-evolving demographics, land use, and vehicle technology simulations. While most existing literature has focused on the aggregate clean vehicle uptake, this paper differentiates distributional effects and decomposes the underlying mechanisms across heterogeneous sub-populations of households. Using scenarios and sensitivity simulations that vary vehicle technology and policy assumptions, we find that Zero Emission Vehicles (ZEVs) penetrate into higher income groups at a faster rate than into lower income groups, which is intuitive and aligns with expectations. Interestingly, the relative income disparity in ZEV ownership shrinks over time across all scenarios, with a ZEV mandate coupled with declining battery cost leading to the greatest reduction in disparity of ZEV ownership by 2050. Federal, state, and local financial incentives influence the redistribution of ZEV uptake across income groups and contribute to narrowing income disparity. Vehicle transaction frequency and new versus used market dynamics are found to be important factors contributing to the income disparity.

Dynamic Assignment Algorithms to Boost Refugee Outcomes Amid record-breaking forced displacement in recent years, researchers and policymakers alike have become increasingly interested in the idea of algorithmically matching refugees to geographic localities in order to optimize their employment or other integration outcomes. In “Outcome-Driven Dynamic Refugee Assignment with Allocation Balancing,” Bansak and Paulson propose new dynamic assignment algorithms for this context designed to maximize a given outcome while meeting the operational needs of refugee resettlement and asylum agencies. Using resettlement data from both the United States and Switzerland, they demonstrate how one algorithm (currently being piloted in Switzerland) can achieve near-optimal results compared with a hindsight-optimal matching. They also show that, because of nonstationarities in the arrival process, outcome maximization (even when subject to location capacity constraints) can result in an imbalanced allocation to localities over time, putting periodic strains on limited local resettlement resources. They account for this problem in a second algorithm that achieves near-perfect balance over time with only a small loss in average outcomes compared with the first algorithm.

The portability of performance for individuals during a career transition is not straightforward. Differences between jobs can create a drag on performance; alternatively, the differences can be an input to creativity and innovation. In this paper, we develop a model of career transitions that centers around the concept of career frictions, which we define as the disrupting differences felt by individuals between a new role and career attributes accumulated through their prior work experience (i.e., knowledge, social relationships, and imprints and identity). We argue that experienced individuals bring their accumulated career attributes into new jobs, and that the relationship between these attributes and their post-transition routine and creative job performance is mediated by career frictions. Furthermore, we theorize that the way in which movers experience career transitions is moderated by cognitive fixedness, which influences how much friction an individual feels, and by socialization practices, which can smooth or leverage friction in order to determine an individual's post-move routine and creative job performance. Our friction-based theory of career transitions holds that individual characteristics like cognitive fixedness and also contextual conditions like socialization practices affect the portability of performance, or the prospect of generating creative performance.

Language is a fundamental aspect of human culture that influences cognitive and perceptual processes. Prior evidence demonstrates personality self-report can vary across multilingual persons' language contexts. We assessed how cultural identification, language dominance, or both dynamically influence bilingual respondents' self-conception, via self-reported personality, across English and Spanish contexts. During separate English and Spanish conditions, 133 Hispanic/Latino bilingual participants (70 female) completed the Big Five Inventory of personality. We used language use and acculturation surveys completed in both languages to calculate participants' relative language dominance and identification with U.S.-American and Hispanic culture. Participants reported higher levels of agreeableness, conscientiousness, and neuroticism in English relative to Spanish. Language dominance predicted cross-language differences in personality report, with higher extraversion reported in participants' dominant language. Within each language, greater endorsement of U.S.-American identity was associated with higher extraversion and conscientiousness and lower reported neuroticism. Agreeableness report in both languages was positively predicted by Hispanic identification. Our results clarify existing literature related to language and cultural effects on personality report among U.S. Hispanics/Latinos. These findings could inform assessments of self-relevant cognitions across languages among bilingual populations and hold relevance for health outcomes affected by cultural processes.

Gun-related crime continues to be an urgent public health and safety problem in cities across the US. A key question is: how are firearms diverted from the legal retail market into the hands of gun offenders? With close to 8 million legal firearm transaction records in California (2010-2020) linked to over 380,000 records of recovered crime guns (2010-2021), we employ supervised machine learning to predict which firearms are used in crimes shortly after purchase. Specifically, using random forest (RF) with stratified under-sampling, we predict any crime gun recovery within a year (0.2% of transactions) and violent crime gun recovery within a year (0.03% of transactions). We also identify the purchaser, firearm, and dealer characteristics most predictive of this short time-to-crime gun recovery using SHapley Additive exPlanations and mean decrease in accuracy variable importance measures. Overall, our models show good discrimination, and we are able to identify firearms at extreme risk for diversion into criminal hands. The test set AUC is 0.85 for both models. For the model predicting any recovery, a default threshold of 0.50 results in a sensitivity of 0.63 and a specificity of 0.88. Among transactions identified as extremely risky, e.g., transactions with a score of 0.98 and above, 74% (35/47 in the test data) are recovered within a year. The most important predictive features include purchaser age and caliber size. This study suggests the potential utility of transaction records combined with machine learning to identify firearms at the highest risk for diversion and criminal use soon after purchase.

Abstract: Inspired by the goal of making marketplaces more inclusive, this research provides a deeper understanding of consumer vulnerability dynamics to develop strategies that help reduce these vulnerabilities. The proposed framework, first, conceptualizes vulnerability states as a function of the breadth and depth of consumers’ vulnerability; then, it sketches a set of vulnerability indicators that illustrate vulnerability breadth and depth. Second, because the breadth and depth of vulnerability vary over time, the framework goes beyond vulnerability states to identify distinct vulnerability-increasing and vulnerability-decreasing pathways, which describe how consumers move between vulnerability states. In a final step, the framework proposes that organizations can (and should) support consumers to mitigate vulnerability by helping consumers build resilience (e.g., via distinct types of resilience-fueling consumer agency). This framework offers novel conceptual insights into consumer vulnerability dynamics as well as resilience and provides avenues for future research on how organizations can better partner with consumers who experience vulnerabilities.

We develop and test a more comprehensive theory of the sources and effects of workplace favoritism by drawing on a large, agency-wide sample of U.S. Federal Aviation Administration employees. We report how members of various underrepresented groups differ in their perceptions of a variety of sources of favoritism. We find that their perceptions of friendship favoritism are an important source of perception of workplace favoritism for all employees. We show that perceptions of favoritism are negatively associated with employee trust in their organizations and coworkers, commitment to their organizations, willingness to speak up, and pay satisfaction, with friendship favoritism significantly dominating over most other sources. Further, we find that team leaders, supervisors, managers, and executives, with their greater knowledge of organizational processes, report less favoritism. This and previous research provide practical guidance on how greater transparency may reduce employee perceptions of favoritism in the federal workforce while avoiding discredited formalistic constraints.

This study proposes an approach of leveraging information gathered from multiple traffic data sources at different resolutions to obtain approximate inference on the traffic distribution of Chicago's O'Hare Airport area. Specifically, it proposes the ingestion of traffic datasets at different resolutions to build spatiotemporal models for predicting the distribution of traffic volume on the road network. Due to its good adaptability and flexibility for spatiotemporal data, the Gaussian process (GP) regression was employed to provide short-term forecasts using data collected by loop detectors (sensors) and supplemented by telematics data. The GP regression is used to make predictions of the distribution of the proportion of sensor data traffic volume represented by the telematics data for each location of the sensors. Consequently, the fitted GP model can be used to determine the approximate traffic distribution for a testing location outside of the training points. Policymakers in the transportation sector can find the results of this work helpful for making informed decisions relating to current and future transportation conditions in the area.

In the past two decades, a number of banks joined global initiatives aimed to mitigate climate change by “greening” their asset portfolios. We study whether banks that made such commitments have a different emission exposure of their portfolios of syndicated loans than banks that did not. We rely on loan-level information with global coverage combined with country-industry information on emissions. We find that all banks have reduced their loan-emission exposures over the last 8 years. However, we do not find differences between banks that did and those that did not signal their sustainability goals, with the exception of early signers of Principles of Responsible Investments (PRI), who already had lower exposure to emissions through their syndicated lending. In addition, banks that signed PRI shortened the maturity of the loans extended to highly-emitting industries but only temporarily. Thus, we conclude that banks reduced their exposure to climate transition risks on average, but voluntary climate commitments did not contribute to syndicated loan reallocation away from highly-emitting sectors.

As generative AI systems move beyond Turing’s benchmark for whether a machine exhibits human-like intelligence, what implications does this technological milestone have for organization theory? We engage with this question by considering how the increasing creativity and social competence exhibited by generative AI impacts processes of social construction and cultural evolution that have, up to this point, been the exclusive domain of humans. More specifically, we consider what it means to have intelligent machines capable of category work, which we define here as both the culturally savvy use of categories and purposeful participation in the processes of construction that underpin systems of categories more generally. We go on to explore some of the implications for individuals, organizations and societies of the appearance of this new class of artificial participants in the processes that constitute category systems.

BackgroundCannabis exposures reported to the California Poison Control System increased following the initiation of recreational cannabis sales on 1 January 2018 (i.e., "commercialization"). We evaluated whether local cannabis control policies adopted by 2021 were associated with shifts in harmful cannabis exposures.MethodsUsing cannabis control policies collected for all 539 California cities and counties in 2020-2021, we applied a differences-in-differences design with negative binomial regression to test the association of policies with harmful cannabis exposures reported to California Poison Control System (2011-2020), before and after commercialization. We considered three policy categories: bans on storefront recreational retail cannabis businesses, overall restrictiveness, and specific recommended provisions (restricting product types or potency, packaging and labeling restrictions, and server training requirements).ResultsLocalities that ultimately banned storefront recreational retail cannabis businesses had fewer harmful cannabis exposures for children aged 13 years (rate ratio = 0.97; 95% confidence interval = 0.85, 1.11). Of 167 localities ultimately permitting recreational cannabis sales, overall restrictiveness was not associated with harmful cannabis exposures among children aged 13 years, a 1-standard deviation increase in ultimate restrictiveness was associated with fewer harmful cannabis exposures (rate ratio = 0.93; 95% confidence interval = 0.86, 1.01). For recommended provisions, estimates were generally too imprecise to detect associations with harmful cannabis exposures.ConclusionBans on storefront retail and other restrictive approaches to regulating recreational cannabis may be associated with fewer harmful cannabis exposures for some age groups following statewide commercialization.

ObjectivesInformed by a social-ecological framework, this study nested undocumented students' individual mental health needs within micro-level campus factors and the macro-level immigration policy context to examine how these are associated with undocumented Latina/o/x college students' use of on-campus mental health services.MethodA large-scale survey was administered to 1,277 undocumented college students attending 4-year public universities in California. Only Latina/o/x respondents were included in this study (N = 1,181). Fifty percent of students attended a UC system (n = 589). On average, students were 21.84 years old (SE = .15), and most were women (75.3%, n = 890).ResultsGreater level of mental health symptoms and perceived mental health need, and greater use of campus-wide resources and undocumented student services predicted greater likelihood of using on-campus mental health services. Greater perceptions of social exclusion due to the immigration policy context predicted lower use of mental health services.ConclusionsResults indicate that a greater use of resources and an inclusive campus environment, as well as efforts to minimize policy-related feelings of social exclusion, may facilitate undocumented students' professional mental health help-seeking. These findings emphasize the need to take multiple and multi-level ecological factors into account when considering mental health service use, particularly in the case of undocumented immigrants and likely other structurally marginalized groups. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Background: Illicit substance sales facilitated by social media platforms are a growing public health issue given recent increases in overdose deaths, including an alarming rise in cases of fentanyl poisoning. However, little is known about how online users evaluate what features of social media posts convey safety, which can influence their intent to source illicit substances. Objectives: This study adapts conjoint analysis which assessed how attributes of social media posts (i.e., features) influence safety evaluations of mock posts selling illicit substances. 440 participants were recruited online for self-reporting use or purchase of controlled substances or prescription medicines recreationally. The following attributes were tested: drug packaging, drug offerings, profile photo of seller, payment info provided, and use of emojis. Results: Packaging was ranked the most important attribute (Average Importance =43.68, Offering=14.94, Profile=13.86, Payment=14.11, Emoji=13.41), with posts that displayed drugs in pill bottles assessed as the most safe. Attribute levels for advertising multiple drugs, having a blank profile photo, including payment information, and including emojis also ranked higher in perceived safety. Rankings were consistent across tested demographic factors (i.e., gender, age, and income). Survey results show that online pharmacies were most likely to be perceived as safe for purchasing drugs and medications. Additionally, those who were younger in age, had higher income, and identified as female were more likely to purchase from a greater number of platforms. Conclusions: These findings can assist in developing more precise content moderation for platforms seeking to address this ongoing threat to public safety.

The introduction of AI into working processes has resulted in workers increasingly being subject to AI-related harms. By analyzing incidents of worker-related AI harms between 2008 and 2023 in the AI Incident Database, we find that harms get addressed under considerably restricted scenarios. Results from a Qualitative Comparative Analysis (QCA) show that workers with more power resources, either in the form of expertise or labor market power, have a greater likelihood of seeing harms fixed, all else equal. By contrast, workers lacking expertise or labor market power, have lower success rates and must resort to legal or regulatory mechanisms to get fixes through. These findings suggest that the workplace is another arena in which AI has the potential to reproduce existing inequalities among workers and that stronger legal frameworks and regulations can empower more vulnerable worker populations.

IntroductionAdverse sexual and reproductive health (SRH) outcomes, such as unplanned pregnancies and HIV infection, disproportionately affect adolescent girls and young women (AGYW; aged 15-24 years) in east Africa. Increasing uptake of preventive SRH services via innovative, youth-centred interventions is imperative to addressing disparities in SRH outcomes.Methods and analysisFrom 2018 to 2019, we used human-centred design to co-develop a theoretically driven HIV and pregnancy prevention intervention for AGYW at private drug shops called Accredited Drug Dispensing Outlets (ADDOs) in Tanzania. The result, Malkia Klabu (Queen Club), was a customer loyalty programme designed to strengthen ADDOs' role as SRH providers while encouraging uptake of critical SRH prevention products among AGYW. Malkia Klabu members had access to free contraceptives and oral HIV self-test (HIVST) kits and earned punches on a loyalty card for other shop purchases; punches were redeemable for small prizes. Our pilot among 40 shops showed that intervention ADDOs had higher AGYW patronage and distributed more HIVST kits and contraceptives to AGYW relative to business-as-usual (ie, client purchasing) comparison shops. We will conduct a cluster-randomised controlled trial (c-RCT) among 120-140 ADDOs in 40 health catchment areas in Shinyanga and Mwanza Regions (Lake Zone), Tanzania. ADDO shop recruitment includes a 1-month run-in with a tablet-based electronic inventory management system for tracking shop transactions, followed by enrolment, randomisation and a 24-month trial period. Our c-RCT evaluating the human-centred design-derived intervention will assess population impact on the primary outcomes of HIV diagnoses and antenatal care registrations, measured with routine health facility data. We will also assess secondary outcomes focusing on mechanisms of action, evaluate programme exposure and AGYW behaviour change in interviews with AGYW, and assess shop-level implementation strategies and fidelity.Ethics and disseminationEthical approval was granted from both the University of California, San Francisco and the Tanzanian National Institute for Medical Research. Study progress and final outcomes will be posted annually to the National Clinical Trials website; study dissemination will occur at conferences, peer-reviewed manuscripts and local convenings of stakeholders.Trial registration numberNCT05357144.

Background and aimsThe ubiquity of tobacco retailers helps to sustain the tobacco epidemic. A tobacco retail reduction approach that has not been tried is transitioning tobacco sales to state-controlled alcohol stores (TTS), which are limited in number and operate under some restrictions, e.g. regarding opening hours or marketing materials. This study summarizes policy experts' and advocates' views of TTS, including (1) advantages and disadvantages; (2) feasibility; and (3) potential implementation obstacles.DesignThis study was a qualitative content analysis of semi-structured interviews.SettingTen US states with alcoholic beverage control systems were included.ParticipantsThe participants comprised a total of 103 tobacco control advocates and professionals, public health officials, alcohol policy experts and alcohol control system representatives, including two tribal community representatives.MeasurementsInterviewees' perspectives on their state's alcoholic beverage control agency (ABC, the agency that oversees or operates a state alcohol monopoly) and on TTS were assessed.FindingsInterviewees thought TTS offered potential advantages, including reduced access to tobacco products, less exposure to tobacco advertising and a greater likelihood of successful smoking cessation. Some saw potential long-term health benefits for communities of color, due to the smaller number of state alcohol stores in those communities. Interviewees also raised concerns regarding TTS, including ABCs' limited focus on public health and emphasis on revenue generation, which could conflict with tobacco use reduction efforts. Some interviewees thought TTS could enhance the power of the tobacco and alcohol industries, increase calls for alcohol system privatization or create difficulties for those in recovery.ConclusionsIn the United States, transitioning tobacco sales to state-controlled alcohol stores (TTS) could have a positive public health impact by reducing tobacco availability, marketing exposure and, ultimately, tobacco use. However, tensions exist between alcohol control system goals of providing revenue to the state and protecting public health. Should a state decide to pursue TTS, several guardrails should be established, including building into the legislation an explicit goal of reducing tobacco consumption.

IntroductionFactors that impact flavored tobacco sales restriction (flavor restrictions) effectiveness on youth e-cigarette behavior are unclear. Tobacco retailer density (retailer density) is a health equity issue with greater retailer density in high-minority, low-income areas. We examined the association between flavor restrictions and youth e-cigarette behavior by retailer density across diverse communities in the California Bay Area.Aims and methodsWe analyzed data from the California Healthy Kids Survey using a difference-in-differences (DID) strategy. We compared pre- and post-policy changes in e-cigarette access and use one-year post-implementation among high school students in the Bay Area with a flavor restriction (n = 20 832) versus without (n = 66 126). Separate analyses were conducted for students in cities with low and high retailer density, with a median cutoff of 3.3 tobacco retailers/square mile.ResultsStudents with high retailer density were more likely to identify as a minority and have parents with lower education. Among students with low retailer density, flavor restrictions were associated with 24% lower odds in the pre- to post-policy increase in ease of access relative to unexposed students (DID = 0.76, 95% CI: 0.58, 0.99). Among students with high retailer density, flavor restrictions were associated with 26% higher odds in ease of access (DID: 1.26, 95% CI: 1.02, 1.56) and 57% higher odds of current use (DID = 1.57, 95% CI: 1.31, 1.87).ConclusionsFlavor restrictions had positive impacts on youth e-cigarette access in low, but not high retailer density cities. From a health equity perspective, our results underscore how flavor restrictions may have uneven effects among vulnerable groups.ImplicationsIn diverse communities in the California Bay Area, our results suggest a protective association between flavored tobacco sales restrictions and youth access to e-cigarettes in low, but not high tobacco retailer density cities one-year post-implementation. These results underscore how flavor restrictions may have uneven effects, and when implemented in high retailer density areas, may disproportionately place already vulnerable groups at heightened exposure to e-cigarette use and access. In high retailer density areas, additional tobacco control efforts may need to be included with flavor restriction implementation, such as increased education, youth prevention and cessation programs, policies to reduce tobacco retailer density, or stronger tobacco retailer enforcement or compliance monitoring.

To reduce youth access to tobacco products, the California Tobacco Prevention Program funded local tobacco prevention programs from July 2017 through December 2021 to address its Communities of Excellence Indicator 3.2.9: the number of jurisdictions with a policy eliminating or restricting the sale and/or distribution of any mentholated cigarettes and other flavored tobacco products, and paraphernalia. We examined the strategies by which community coalitions attempted to limit the number of stores selling flavored tobacco across California. Thirty-six final evaluation reports (FERs) were used for our analysis. We examined certain elements or factors as primary areas of interest because of their apparent link to successful outcomes in analyses of FERs in the past. Over half (19 of 36) of FERs reported successfully passing at least 1 policy to regulate the sale of flavored tobacco products. Urban communities passed more policies (16 of 18) compared with rural communities (3 of 18). Successful campaigns tended to involve youth, demonstrate illegal sales to minors and public support for a ban, and identify a champion. Barriers included the COVID-19 pandemic, California wildfires, staffing shortages, and conservative political climates. This evaluation offers insights into the successes and challenges faced by local coalitions seeking policy changes for tobacco use prevention, which can be different for urban and rural communities. The evaluation also indicates the necessity of adopting flexible tactical plans for overcoming environmental factors that affected intervention and evaluation activities.

ObjectivesThe cultural stress theory posits that immigrants experience a constellation of cultural stressors such as discrimination that could exacerbate alcohol- and other substance-related problems. Drawing on cultural stress theory, this study investigated the age-varying association between past-year discrimination and substance use disorders (SUDs) among Latin American immigrants aged 18-60 and whether childhood family support moderated the above association.MethodWe used data from the National Epidemiologic Survey on Alcohol and Related Conditions-III (NESARC-III) among adults aged 18-60 who identified as a Latin American immigrant (N = 3,049; 48% female).ResultsTime-varying effect models (TVEMs) revealed that experiencing past-year discrimination was associated with greater odds of having a SUD during young and middle adulthood for Latin American immigrants. Furthermore, for immigrants with lower childhood family support, discrimination was associated with SUD risk in young and middle adulthood.ConclusionThe present study documents that past-year discrimination was linked to greater SUD risk during young and middle adulthood. Childhood family support may serve as a protective factor in the association between discrimination and risk for SUD among Latin American immigrants. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

We examined whether a community engagement approach and jurisdictional attributes were associated with local action to restrict the sale of flavored tobacco products in Los Angeles County during 2019-2022. We estimated crude and adjusted risk ratios to examine these associations. Jurisdictions that used an active community engagement approach to adopt a flavored tobacco ban ordinance, those with previous experience adopting other tobacco-related ordinances, and those located next to communities that have an existing tobacco retail license ordinance were more likely than jurisdictions without these attributes to adopt a new ordinance to restrict the sale of flavored tobacco products. Efforts to adopt such an ordinance were generally more successful in jurisdictions where community members were engaged and policy makers were familiar with the adoption of public health ordinances.

With the growth of attention to equity in transportation, there is a need to understand differing definitions of transportation equity and what constitutes impactful equity work. This report examines definitions and assesses equity work within transportation in California. We do this by analyzing the expert perspectives of 28 transportation professionals who also identify as Black or people of color. Interviews were transcribed and coded for major themes. Results indicated that there is tension around what constitutes meaningful transportation equity work. Key findings centered around a distinction between “performative” equity work and “authentic” equity work. Performative equity work privileges the comfort and perspective of dominant groups, reinforces the status quo, stays in the realm of the rhetoric, and often results in superficial changes only. Authentic equity work centers the experience of Black people and people of color, embraces discomfort, transforms dominant culture, and results in measurable changes to the lives of those historically oppressed. Key recommendations include supporting action-oriented equity work, especially around resource allocation and redistribution of decision-making power to communities. The paper includes visions for more equitable transportation futures.

Working in a stem cell laboratory necessitates a thorough understanding of complex cell culture protocols, the operation of sensitive scientific equipment, adherence to safety standards, and general laboratory etiquette. For novice student researchers, acquiring the necessary specialized knowledge before their initial laboratory experience can be a formidable task. Similarly, for experienced laboratory personnel, efficiently and uniformly training new trainees to a rigorous standard presents a significant challenge. In response to these issues, we have developed an educational and interactive virtual cell culture environment. This interactive virtual lab aims to equip students with foundational knowledge in maintaining cortical brain organoids and to instill an understanding of pertinent safety procedures and laboratory etiquette. The gamification of this training process seeks to provide laboratory supervisors in highly specialized fields with an effective tool to integrate students into their work environments more rapidly and safely.

In 2020, California passed a flavored tobacco sales restriction (FTSR), but the tobacco companies filed a referendum, and the ban will not be implemented unless approved by voters in November 2022. This study examined the percentage of the California population covered by a city FTSR and identified groups more likely to be covered. Mean demographics as well as tobacco use and control measures were compared for California cities with (n = 93) and without (n = 389) a FTSR, and t tests were used to examine the differences. We calculated adjusted odds ratios using logistic regression models. City FTSR policies covered 20.7% of the California population. Adjusted predictors of having a FTSR included the American Lung Association tobacco control score (odds ratio [OR] = 1.27, 95% confidence interval [CI]: [1.17, 1.38]), voting democratic (OR = 1.06, 95% CI: [1.02, 1.10]). and having a lower adult smoking prevalence (OR = 0.84, 95% CI: [0.72, 0.99]). A state-level policy would cover all populations in California.

Wildfires are increasing in duration and intensity across the United States' Pacific West region, resulting in heightened particulate matter from smoke in the atmosphere. Levels of peak particulate matter are concurrent to peak visitor attendance at National Parks, given seasonal alignment with summer vacation travel and heightened forest fire conditions. Particulate matter threatens visitor health and safety and contributes to poor visibility and a deteriorated visitor experience. To assess visitation response to diminished air quality, we utilized wildfire-generated particulate matter (PM2.5) data in conjunction with monthly attendance records for three ecoregions containing eight national parks in Washington, Oregon, and California from 2009 to 2019. We analyzed daily PM2.5 levels from data gridded at the 10 km scale for National Park Service units by Level III forest ecoregions within the National Park Service's Pacific West Unit. Data were then compared to normalized monthly visitation trends for each of the ecoregions using two statistical methods Kendall's Tau and Analysis of Variance (ANOVA) with post-hoc Tukey tests. Results demonstrate that attendance at these national parks does not decrease in response to increased PM2.5 levels. Instead, we see several statistically significant increases in attendance across these ecoregions during periods of reduced air quality. Of 115 shifts between air quality categories during the busy season of July to September, there are no significant decreases in attendance as air quality worsens. These findings suggest that visitors are willing to tolerate reduced air quality compared to other factors such as temperature or precipitation. Given that park units within each ecoregion feature diverse historical contexts, varied built environments, and unique ecological systems, our discussion specifically addresses managerial concerns associated with maintained high levels of visitation during suboptimal, and potentially dangerous, conditions. There is substantial need for specific, scalable approaches to mitigate adverse health and experiential impacts as visitors are exposed to increased risks during a range of exertional activities associated with diverse settings.

INTRODUCTION: There has been a rapid proliferation of synthetic nicotine products in recent years, despite newly established regulatory authority and limited research into its health risks. Previous research has implicated social media platforms as an avenue for nicotine product unregulated sales. Yet, little is known about synthetic nicotine product content on social media. We utilized natural language processing to characterize the sales of synthetic nicotine products on Instagram. METHODS: We collected Instagram posts by querying Instagram hashtags (eg, #tobaccofreenicotine) related to synthetic nicotine. Using Bidirectional Encoder Representations from Transformers, collected posts were categorized into thematically related topic clusters. Posts within topic clusters relevant to study aims were then manually annotated for variables related to promotion and selling (eg, cost discussion, contact information for offline sales). RESULTS: A total of 7425 unique posts were collected with 2219 posts identified as related to promotion and selling of synthetic nicotine products. Nicotine pouches (52.9%, n = 1174), electronic nicotine delivery systems (30.6%, n = 679), and flavored e-liquids (14.1%, n = 313) were most commonly promoted. About 16.1% (n = 345) of posts contained embedded hyperlinks and 5.8% (n = 129) provided contact information for purported offline transactions. Only 17.6% (n = 391) of posts contained synthetic nicotine-specific health warnings. CONCLUSIONS: In the United States, synthetic nicotine products can only be legally marketed if they have received premarket authorization from the Food and Drug Administration (FDA). Despite these prohibitions, Instagram appears to be a hub for potentially unregulated sales of synthetic and tobacco-free products. Efforts are needed by platforms and regulators to enhance content moderation and prevent unregulated online sales of existing and emerging synthetic nicotine products. IMPLICATIONS: There is limited clinical understanding of synthetic nicotines unique health risks and how these novel products are changing over time due to regulatory oversight. Despite synthetic nicotine-specific regulatory measures, such as the requirement for premarket authorization and FDA warning letters issued to unauthorized sellers, access to and promotion of synthetic nicotine is widely occurring on Instagram, a platform with over 2 billion users and one that is popular among youth and young adults. Activities include direct-to-consumer sales from questionable sources, inadequate health warning disclosure, and exposure with limited age restrictions, all conditions necessary for the sale of various tobacco products. Notably, the number of these Instagram posts increased in response to the announcement of new FDA regulations. In response, more robust online monitoring, content moderation, and proactive enforcement are needed from platforms who should work collaboratively with regulators to identify, report, and remove content in clear violation of platform policies and federal laws. Regulatory implementation and enforcement should prioritize digital platforms as conduits for unregulated access to synthetic nicotine products and other future novel and emerging tobacco products.

The US National Park System encompasses diverse environmental and tourism management regimes, together governed by the 1916 Organic Act and its dual mandate of conservation and provision of public enjoyment. However, with the introduction of transformative science policy in the 2000's, the mission scope has since expanded to promote overarching science-based objectives. Yet despite this paradigm shift instituting "science for parks, parks for science", there is scant research exploring the impact of the National Park Science Policy on the provision of knowledge. We address this gap by developing a spatiotemporal framework for evaluating research alignment, here operationalized via quantifiable measures of supply and demand for scientific knowledge. Specifically, we apply a machine learning algorithm (Latent Dirichlet analysis) to a comprehensive park-specific text corpus (combining official needs statements -i.e. demand- and scientific research metadata -i.e. supply-) to define a joint topic space, which thereby facilitates quantifying the direction and degree of alignment at multiple levels. Results indicate an overall robust degree of research alignment, with misaligned topics tending to be over-researched (as opposed to over-demanded), which may be favorable to many parks, but is inefficient from the park system perspective. Results further indicate that the transformative science policy exacerbated the misalignment in mandated research domains. In light of these results, we argue for improved decision support mechanisms to achieve more timely alignment of research efforts towards distinctive park needs, thereby fostering convergent knowledge co-production and leveraging the full value of National Parks as living laboratories.

This paper presents a multidisciplinary analysis of the Fukushima Dai-ichi Nuclear Power Plant accident. Along with the latest observations and simulation studies, we synthesize the time-series and event progressions during the accident across multiple disciplines, including in-plant physics and engineering systems, operators' actions, emergency responses, meteorology, radionuclide release and transport, land contamination, and health impacts. We identify three key factors that exacerbated the consequences of the accident: (1) the failure of Unit 2 containment venting, (2) the insufficient integration of radiation measurements and meteorology data in the evacuation strategy, and (3) the limited risk assessment and emergency preparedness. We conclude with new research and development directions to improve the resilience of nuclear energy systems and communities, including (1) meteorology-informed proactive venting, (2) machine learning-enabled adaptive evacuation zones, and (3) comprehensive risk-informed emergency planning while leveraging the experience from responses to other disasters.

Our special issue on young consumers introduces readers to a research area that has been part of the consumer behavior field for over 50 years. We provide an overview of topics and findings from past to present that have appeared in marketing and consumer journals. We also identify current research issues and gaps and invite readers to contribute to the field. Throughout our discussion, we introduce the 10 articles in this special issue, whose topics include neuroscience insights into youth risk behaviors, the effects of social media on youth, social activism among young people, strategies for encouraging them to eat healthier food, parenting strategies and youth smoking, how gambling advertising affects youth, their need for marketplace literacy, and the importance of studying the lived experiences of youth in poverty. These articles include empirical findings and identify opportunities for future research that can positively impact the lives of children and adolescents.

Herbal medicines are used by patients with IBD despite limited evidence. We present a systematic review and meta-analysis of randomized controlled trials (RCTs) investigating treatment with herbal medicines in active ulcerative colitis (UC). A search query designed by a library informationist was used to identify potential articles for inclusion. Articles were screened and data were extracted by at least two investigators. Outcomes of interest included clinical response, clinical remission, endoscopic response, endoscopic remission, and safety. We identified 28 RCTs for 18 herbs. In pooled analyses, when compared with placebo, clinical response rates were significantly higher for Indigo naturalis (IN) (RR 3.70, 95% CI 1.97-6.95), but not for Curcuma longa (CL) (RR 1.60, 95% CI 0.99-2.58) or Andrographis paniculata (AP) (RR 0.95, 95% CI 0.71-1.26). There was a significantly higher rate of clinical remission for CL (RR 2.58, 95% CI 1.18-5.63), but not for AP (RR 1.31, 95% CI 0.86-2.01). Higher rates of endoscopic response (RR 1.56, 95% CI 1.08-2.26) and remission (RR 19.37, 95% CI 2.71-138.42) were significant for CL. CL has evidence supporting its use as an adjuvant therapy in active UC. Research with larger scale and well-designed RCTs, manufacturing regulations, and education are needed.

This paper reports a high-resolution isotopic study of medieval horse mobility, revealing their origins and in-life mobility both regionally and internationally. The animals were found in an unusual horse cemetery site found within the City of Westminster, London, England. Enamel strontium, oxygen, and carbon isotope analysis of 15 individuals provides information about likely place of birth, diet, and mobility during the first approximately 5 years of life. Results show that at least seven horses originated outside of Britain in relatively cold climates, potentially in Scandinavia or the Western Alps. Ancient DNA sexing data indicate no consistent sex-specific mobility patterning, although three of the five females came from exceptionally highly radiogenic regions. Another female with low mobility is suggested to be a sedentary broodmare. Our results provide direct and unprecedented evidence for a variety of horse movement and trading practices in the Middle Ages and highlight the importance of international trade in securing high-quality horses for medieval London elites.