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Background: The Society of American Gastrointestinal and Endoscopic Surgeons (SAGES) has long recognized and championed increasing diversity within the surgical workplace. SAGES initiated the Fundamentals of Leadership Development (FLD) Curriculum to address these needs and to provide surgeon leaders with the necessary tools and skills to promote diversity, equity, and inclusion (DEI) in surgical practice. In 2019, the American College of Surgeons issued a request for anti-racism initiatives which lead to the partnering of the two societies. The primary goal of FLD was to create the first surgeon-focused leadership curriculum dedicated to DEI. The rationale/development of this curriculum and its evaluation/feedback methods are detailed in this White Paper. Methods: The FLD curriculum was developed by a multidisciplinary task force that included surgeons, education experts, and diversity consultants. The curriculum development followed the Analysis, Design, Development, Implementation and Evaluation (ADDIE) instructional design model and utilized a problem-based learning approach. Competencies were identified, and specific learning objectives and assessments were developed. The implementation of the curriculum was designed to be completed in short intervals (virtual and in-person). Post-course surveys used the Kirkpatrick's model to evaluate the curriculum and provide valuable feedback. Results: The curriculum consisted of interactive online modules, an online discussion forum, and small group interactive sessions focused in three key areas: (1) increasing pipeline of underrepresented individuals in surgical leadership, (2) healthcare equity, and (3) conflict negotiation. By focusing on positive action items and utilizing a problem-solving approach, the curriculum aimed to provide a framework for surgical leaders to make meaningful changes in their institutions and organizations. Conclusion: The FLD curriculum is a novel leadership curriculum that provided surgeon leaders with the knowledge and tools to improve diversity in three areas: pipeline improvement, healthcare equity, and conflict negotiation. Future directions include using pilot course feedback to enhance curricular effectiveness and delivery. [ABSTRACT FROM AUTHOR]

Purpose: To examine a series of papers from top ranked orthopaedic journals with respect to the number of citations over a 10-year observation period to identify factors that lead to high citation rates. Methods: The Web of Science database was consulted to identify all published papers from the first-year term of 2010 (January-May) from four top orthopaedic journals: AJSM, Arthroscopy, JBJS Am and KSSTA. The database was used to analyze and compare the papers with respect to their characteristics and citations up to 2019. Basic information for each paper was collected including the author, country, study type and average citations per year (ACY). The most (Top20%) and least (Bottom20%) frequently cited papers were identified and differences were extracted. Results: Five hundred sixteen papers were included with a total of 19,261 citations. Most of the published papers were from the United States (n = 245). On average, a paper received 37.3 citations over the 10-year observation period. The most cited paper was cited 322 times. The most cited study type was randomized controlled trial (RCT) (Ø80.8). The Top20% papers were cited 37 times more often than the Bottom20%. Among the Top20%, the largest group was cohort study (n = 20) followed by case series (n = 19). Among others, the number of authors, the number of keywords and the number of references significantly correlated with the number of citations (p < 0.001). Conclusions: Factors influencing citation frequency were identified. [ABSTRACT FROM AUTHOR]

Research has shown that arts-based approaches facilitate literacy learning in children; however, few studies have focused on the integration of art and early writing in community-based Chinese heritage language classes, which have been marginalized from the formal educational discourse in the United States. By drawing on the theoretical perspectives on social semiotics, this paper explored how young Chinese heritage learners engage in "writing" Chinese characters using fallen leaves. The data sources included field notes of observations, video recordings of the class, and the artifacts made by the children. Multimodal analysis revealed that the teacher invited the students to write together and created a social context for children to compose writing artwork. Children engaged with their composition through a variety of modes. This study has implications for research, practice, and policy. [ABSTRACT FROM AUTHOR]

Conservation agriculture (CA) is a set of principles thought to be able to enhance crop productivity while minimizing impacts on the environment. The evidence base for CA can be challenging to synthesize because it encompasses many different practices and social and agroecological outcomes. To facilitate synthesis of CA evidence we have created a dataset organizing 218 response variables from five common categories of CA: cover crops, tillage management, pest management, nutrient management, and crop diversification. These data cover the Midwestern United States (U.S.) from 1980–2020. The dataset is also summarized and visualized on the AgEvidence website, which enables users to interactively explore, filter, and download data. We hope this dataset will help a wide variety of stakeholders, including researchers, policy makers, advocacy groups, and growers access the evidence needed to make informed and impactful decisions about how to produce food with less negative environmental impact. [ABSTRACT FROM AUTHOR]

Objective: This study uses a systematic review with bibliometric analysis methods to investigate the characteristics of the most cited research papers in the field of nursing fatigue and pregnancy. Methods: In the Web of Science (WoS) database. We used the keywords "fatigue" and "pregnancy" to search for articles published from 2000 to 2020, limited to SSCI and Science Citation Index (SCI) journal-type articles. This study identifies the most cited studies in the WoS database based on PRISMA guidelines (Preferred reporting items for systematic reviews and meta-analyses). These studies form the research data, then visualized and analyzed using a retrospective bibliometric analysis and VOSviewer. Results: The studies in the dataset were analyzed in 319 different journals in 51 countries between 2000 and 2020. The study was found that the United States (US) was the country with the highest yield. The most frequent keywords were postpartum, depression, sleep, and postpartum depression. Conclusion: The research results further laid the foundation of bibliometrics for scholars and identified researchers, scientific journals, countries, and hot topics for fatigue-related pregnancy literature. Journals with high impact factors contain the most cited research and open new horizons for research in the nursing field of pregnancy-related fatigue, thus providing research inspiration for investigators in this field. [ABSTRACT FROM AUTHOR]

This paper presents a method that uses observed data from an age-period table to set bounds on the age, period, and cohort effects in an age-period-cohort multiple classification (APCMC) model. The rationale is that with enough periods over a long time span the age distributions within periods on the dependent variable will be affected by different sets of cohorts for each of the periods. This is likely to result in different trends in these separate period age distributions such that the trends in the age distributions will encompass the trend in the age effects that generated the dependent variable values. This approach can help to identify bounds that likely encompass the age, period, cohort parameters that generated the data. The data used in this papers are estimated homicide arrests by single years for those aged 15–64 for the periods 1964 to 2019 in the United States. I utilize the observed trends in the age-distributions for each of the 56 periods as different constraints on the trends for the age effects in the APCMC fixed effects model. These estimates are used to form bounds on the age effects, period effects, and cohort effects. [ABSTRACT FROM AUTHOR]

Introduction: The emergence of artificial intelligence (AI) chat programs has opened two distinct paths, one enhancing interaction and another potentially replacing personal understanding. Ethical and legal concerns arise due to the rapid development of these programs. This paper investigates academic discussions on AI in medicine, analyzing the context, frequency, and reasons behind these conversations. Methods: The study collected data from the Web of Science database on articles containing the keyword "ChatGPT" published from January to September 2023, resulting in 786 medically related journal articles. The inclusion criteria were peer-reviewed articles in English related to medicine. Results: The United States led in publications (38.1%), followed by India (15.5%) and China (7.0%). Keywords such as "patient" (16.7%), "research" (12%), and "performance" (10.6%) were prevalent. The Cureus Journal of Medical Science (11.8%) had the most publications, followed by the Annals of Biomedical Engineering (8.3%). August 2023 had the highest number of publications (29.3%), with significant growth between February to March and April to May. Medical General Internal (21.0%) was the most common category, followed by Surgery (15.4%) and Radiology (7.9%). Discussion: The prominence of India in ChatGPT research, despite lower research funding, indicates the platform's popularity and highlights the importance of monitoring its use for potential medical misinformation. China's interest in ChatGPT research suggests a focus on Natural Language Processing (NLP) AI applications, despite public bans on the platform. Cureus' success in publishing ChatGPT articles can be attributed to its open-access, rapid publication model. The study identifies research trends in plastic surgery, radiology, and obstetric gynecology, emphasizing the need for ethical considerations and reliability assessments in the application of ChatGPT in medical practice. Conclusion: ChatGPT's presence in medical literature is growing rapidly across various specialties, but concerns related to safety, privacy, and accuracy persist. More research is needed to assess its suitability for patient care and implications for non-medical use. Skepticism and thorough review of research are essential, as current studies may face retraction as more information emerges. [ABSTRACT FROM AUTHOR]

The growing prevalence of cardiovascular diseases in the United States (US) has disproportionately affected minority populations more than their white counterparts. A population that is often overlooked is the Asian American population, particularly Southeastern Asian immigrants. Despite having relatively favorable socioeconomic indicators compared to the general US population, Asian Americans, specifically Southeast Asian individuals, face a significant burden of traditional cardiovascular risk factors and are considered a high cardiovascular disease risk group. In addition, most studies have aggregated Asian populations into one major racial group rather than analyzing the different ethnicities among the Asian categorization. While some studies suggest that the acculturation process has some degree of impact on cardiovascular health, there has not been a widely-used tool to measure or ascertain the totality of acculturation. Instead, multiple proxies have been used to measure acculturation, and prior studies have argued for more culturally-tailored acculturation proxies. This paper aims to assess the implications of different acculturation measures on cardiovascular health among Asian Americans, particularly Southeastern Asian immigrants. The following proxies were expanded on in this paper: English spoken at home, length of stay in the US, religiosity and spirituality, and admixed family structures. Previous studies showed that as the length of stay in the US increases, the burden of cardiovascular risk factors increases. However, the impact of English spoken at home, religiosity, and admixed family structure are still inconclusive given the extent of current studies. While most studies suggest that an increase in acculturation increases the risk of cardiovascular disease, it is critical to note that acculturation is a multifaceted process. Therefore, more studies are necessary to appropriately examine the implications of various acculturation processes on cardiovascular risk factors in Asians, specifically Southeastern Asian individuals in the US. [ABSTRACT FROM AUTHOR]

Questions abound over how universities should teach and prepare the next generation of researchers to confront current and future wicked problems. With so much focus on curriculum and training, it is crucial that we step back and reflect on higher education's capabilities to foster solution-oriented, collaborative research. What do the institutional incentive structures in higher education support, in terms of practices and outputs related to scholarship? And are those structures felt evenly across the academy? Those doing research in these spaces—in terms of title, autonomy, power, privilege, and status—vary widely by their institutional locations as well as in terms of their ties to broader disciplinary norms. To assess whether these dynamic, contested institutional landscapes afford so-called wicked problem scholarship, this paper draws from survey and interview data collected from 44 researchers working at the nexus of food, energy, and water systems at Carnegie Research 1 universities in the United States. Findings point to an uneven institutional landscape, which is shown to shape in different ways the type of solutions-oriented, collaborative scholarship fostered across the five positions examined. The paper concludes by reflecting on the paper's findings, particularly in terms of what the data tell us about higher education as a place that fosters wicked problems scholarship, while also highlighting the study's limitations. [ABSTRACT FROM AUTHOR]

The article posits that the puzzles of stagnating poverty rates amidst high growth and declining unemployment in the United States can be substantially explained by polarized job markets characterized by job quality and job distribution. In recent decades, there has been an increased number of poor-quality jobs and an unequal distribution of jobs in the developed world, particularly in the United States. I have calculated measures of uneven job distribution indices that account for the distribution of jobs across households. A higher value of the uneven job distribution indices implies that there are relatively large numbers of households with multiple employed people and households with no employed people. Similarly, poor-quality jobs are those jobs that do not offer full-time work. Two-way fixed-effect models estimate that higher uneven job distribution across households worsens aggregated poverty at the state level. Similarly, good-quality jobs help households escape poverty, whereas poor-quality jobs do not. This paper suggests that eradicating poverty requires the government to direct labor market policies to be tailored more toward distributing jobs from individuals to households and altering bad jobs into good jobs, rather than merely creating more jobs in the economy. This paper contributes by elaborating on relations of employment and poverty, addressing employment quality and distribution, and providing empirical evidence. [ABSTRACT FROM AUTHOR]

Amid seemingly endless media reports of sexual misconduct in our various institutions and particularly our schools, calls for better addressing gender injustice through education have again proliferated. In light of these calls, it continues to be important to appreciate the difficulties of teaching and activism in this area within the context of education. This paper highlights some of these difficulties from the perspectives of a small number of senior students at an elite independent school in the United States of America (USA). Drawing on a broader project that sought to identify new educative approaches to addressing gendered violence, the paper considers difficulties associated with (1) the adult-centred ways in which particular issues and knowledge about sex and sexuality are explored; and (2) the limits of student-only spaces for gender justice work especially given the discomforts of examining the gendered dimensions of sexual consent. Recognising these difficulties and tensions, the paper highlights the significance of feminist-informed adult allyship. [ABSTRACT FROM AUTHOR]

The relation between religiosity and generosity is a well explored topic in the literature, however almost no existing study systematically examines the behavioral route through which religiosity influences generosity. This paper proposes a model to systematically study the inter relation between religiosity of the donor and her generosity and hence attempts to fill an important gap in the existing literature pertinent to the religious studies. The behavioral model incorporates religiosity of the donor measured by frequency of prayers in her utility function and predicts a positive relation between religiosity and generosity. The predictions of the model are tested by applying tobit maximum likelihood regressions on real donations data acquired from two controlled lab experiments performed in the United States (Christian majority country; observations = 165) and Pakistan (Muslim majority country; observations = 75). The data from both lab experiments supports the predictions of the behavioral model; ceteris paribus, subjects in the United States who regularly attend religious service donate $0.76 more compared to non-regular attenders, while subjects in Pakistan offering on average four (five) daily prayers donate 31.26 (57.14) rupees more than subjects offering only one prayer a day. The paper extends our understanding by identifying a possible route through which religiosity can influence generosity. Such an understanding can be very useful when designing a mechanism to solicit donations from the religious people. [ABSTRACT FROM AUTHOR]

In the initial version of our paper, we included Clean Water Act data for all 50 states, DC, and Puerto Rico. Similarly, the percent of Clean Water Act permittees in Significant Noncompliance drops from 6.01 to 3.37% and the average percent of permittees in Significant Noncompliance drops from 9.00 to 6.23%. To ensure that we did not misrepresent the level of Clean Water Act Significant Noncompliance in these states, we have corrected our article by removing these states from the Clean Water Act portion of our analysis. [Extracted from the article]

In most of the United States, insurance companies may use gender to determine car insurance rates. In addition, several studies have shown that women over the age of 25 generally pay more than men for car insurance. Then, we investigate whether the distributions of claims for women and men differ in location, scale and shape by means of the GAMLSS regression framework, using microdata provided by U.S. and Australian insurance companies, to use this evidence to support policy makers' decisions. We also develop a parametric-bootstrap test to investigate the tail behavior of the distributions. When covariates are not considered, the distribution of claims does not appear to differ by gender. When covariates are included, the regressions provide mixed evidence for the location parameter. However, for female claimants, the spread of the distribution is lower. Our research suggests that, at least for the contexts analyzed, there is no clear statistical reason for charging higher rates to women. While providing evidence to support unisex insurance pricing policies, given the limitations represented by the use of country-specific data, this paper aims to promote further research on this topic with different datasets to corroborate our findings and draw more general conclusions. [ABSTRACT FROM AUTHOR]

Background: A joint statement from two federal agencies in the United States calls for coordination and collaboration between programs serving families of infants and toddlers who are at risk or developmentally delayed or disabled U.S. Department of Education and U.S. Department of Health and Human Services. Policy guidance: Joint statement on collaboration and coordination of the MIECHV and IDEA Part C programs. (2017). Individuals with Disabilities Education Act. ED/HHS Joint Guidance Document: Collaboration and Coordination of the Maternal, Infant, and Early Childhood Home Visiting Program and the Individuals with Disabilities Education Act Part C Programs. Young Native American children living on tribal lands in this country are currently eligible for two federal programs associated with these agencies which overlap in mission and implementation. Purpose: This paper outlines potential strategies for creating a more seamless system of services for tribal families involving more centralized intake processes and procedures, cross training of staff to work across programs, and adopting more unifying approaches to program implementation. Conclusion: A streamlined system of services will result in interventions that better support family and child outcomes while reducing duplication of services, consolidating the limited number of qualified professionals available to provide services, and increasing convenience and cultural attunement of services to Native American families currently participating in both programs. [ABSTRACT FROM AUTHOR]

The growing weight being placed on self-directed retirement accounts within the United States retirement income policy framework, and the time inconsistency challenge of individuals, particularly women, tending to under-invest in retirement savings accounts motivated the current work. Using data from the United States Federal Reserve Board's Survey of Consumer Finances, for a period spanning from 1989 to 2019, 11 cross-sections of data, the paper investigated the role of gender in United States retirement risk-taking investment strategies of single (never married) individuals. The analysis documented increasing trends in the risk-taking of both single women and single men but recorded differences in the risk-taking profiles of the two groups, with single men taking more risk than single women in their retirement wealth building in most cross-sections, with the gender risk-taking gap dropping, nonetheless, algebraically in magnitude from 1989 to 2019. [ABSTRACT FROM AUTHOR]

Background: A PhD degree can offer significant research experience, but previous studies yielded conflicting conclusions on the relationship between a PhD degree and future research output. We compared the impact of a PhD degree versus research fellowship (RF) training on research productivity in cardiothoracic surgeons, hypothesizing that training pathways may influence potential associations. Methods: CT surgeons practicing at all accredited United States CT surgery training programs in 2018 who pursued dedicated time for research (n = 597), including earning a PhD degree (n = 92) or completing a non-PhD RF (n = 505), were included. To control for training pathways, we performed subanalyses of U.S. medical school graduates (n = 466) and international medical school graduates (IMGs) (n = 131). Surgeon-specific data were obtained from publicly available sources (e.g., institutional webpages, Scopus). Results: PhD surgeons published greater total papers (68.5 vs. 52.0, p = 0.0179) and total papers per year as an attending (4.6 vs. 3.0, p = 0.0150). For U.S. medical school graduates, there were 40 PhD surgeons and 426 non-PhD RF surgeons; both groups published a similar number of total papers (64.5 vs. 54.0, p = 0.3738) and total papers per year (3.2 vs. 3.0, p = 0.7909). For IMGs, there were 52 PhD surgeons and 79 non-PhD RF surgeons; the PhD surgeons published greater total papers (80.5 vs. 45.0, p = 0.0101) and total papers per year (5.7 vs. 2.7, p = 0.0037). Conclusion: CT surgeons with dedicated research training are highly academically productive. Although a PhD degree may be associated with enhanced career-long research productivity for IMGs, this association was not observed for U.S. medical school graduates. [ABSTRACT FROM AUTHOR]

Summary: Healthcare administrative (claims) data are commonly utilized to estimate drug effects. We identified considerable heterogeneity in fracture outcome definitions in a scoping review of 57 studies that estimated osteoporosis drug effects on fracture risk. Better understanding of the impact of different fracture definitions on study results is needed. Purpose: Healthcare administrative (claims) data are frequently used to estimate the real-world effects of drugs. Fracture incidence is a common outcome of osteoporosis drug studies. We aimed to describe how fractures are defined in studies that use claims data. Methods: We searched MEDLINE (Ovid), Embase (Ovid), CINAHL (EBSCO), and gray literature for studies published in English between 2000 and 2020 that estimated fracture effectiveness (hip, humerus, radius/ulna, vertebra) or safety (atypical fracture of the femur, AFF) of osteoporosis drugs using claims data in Canada and the USA. Literature searches, screening and data abstraction were completed independently by two reviewers. Results: We identified 57 eligible studies (52 effectiveness, 3 safety, 2 both). Hip fracture was the most common fracture site studied (93%), followed by humerus (66%), radius/ulna (59%), vertebra (61%), and AFF (9%). Half (n = 29) of the studies did not indicate specific data sources, codes, or cite a validation paper. Of the papers with sufficient detail, heterogeneity in fracture definitions was common. The most common definition within each fracture site was used by less than half of the studies that examined effectiveness (12 definitions in 29 hip fracture papers, 8 definitions in 17 humerus papers, 8 definitions in 13 radius/ulna papers, 9 definitions in 15 vertebra papers), and 3 definitions among 4 AFF papers. Conclusion: There is ambiguity and heterogeneity in fracture outcome definitions in studies that leverage claims data. Better transparency in outcome reporting is needed. Future exploration of how fracture definitions impact study results is warranted. [ABSTRACT FROM AUTHOR]

With trends of urbanisation on the rise, providing adequate housing to individuals remains a complex issue to be addressed. Often, the slow output of relevant housing policies, coupled with quickly increasing housing costs, leaves individuals with the burden of finding housing that is affordable and in a safe location. In this paper, we unveil how transit service to employment hubs, not just housing policies, can prevent individuals from improving their housing conditions. We approach this question in three steps, applying the workflow to 20 cities in the United States of America. First, we propose a comprehensive framework to quantify housing insecurity and assign a housing demographic to each neighbourhood. Second, we use transit-pedestrian networks and public transit timetables (GTFS feeds) to estimate the time it takes to travel between two neighbourhoods using public transportation. Third, we apply geospatial autocorrelation to identify employment hotspots for each housing demographic. Finally, we use stochastic modelling to highlight how commuting to areas associated with better housing conditions results in transit commute times of over an hour in 15 cities. Ultimately, we consider the compounded burdens that come with housing insecurity, by having poor transit access to employment areas. In doing so, we highlight the importance of understanding how negative outcomes of housing insecurity coincide with various urban mechanisms, particularly emphasising the role that public transportation plays in locking vulnerable demographics into a cycle of poverty. [ABSTRACT FROM AUTHOR]

Background: Adolescent subjective well-being is a topic that has gained significant focus over recent years. This focus is reflected in forming measurement tools and interventions to better understand better and improve adolescent mental health. While these steps are necessary, problems still exist regarding adolescent subjective well-being measurement. Notably, current measurement tools are limited in their content, applicability to various populations, and accessibility. Aims: This paper examines the psychometric properties of the Survey on Flourishing (SURF) when used with an adolescent sample from the United States. Method: A sample of 334 participants participated in the present study. We examined the reliability and validity of the SURF by examining its internal consistency, convergent validity, and discriminant validity. We also examined the factor structure of the SURF using a confirmatory factor analysis (CFA). Results: The SURF demonstrated high internal consistency (α = 0.92), a strong positive correlation with convergent measures, and a weak negative correlation with a discriminant measure. A one-factor model best fits the observed data. Conclusion: The SURF demonstrated good psychometric properties and addressed several shortcomings in current measures. Preliminary data suggests the SURF may be a useful and practical measure of adolescent subjective well-being. [ABSTRACT FROM AUTHOR]

Breast cancer is one of the tumors with the highest prevalence rate among women in the world, and its BRCA1/2 gene is a common mutation site. Talazoparib, as a targeted PARP inhibitor, can effectively control the occurrence and development of breast cancer with BRCA1/2 gene mutation, and play a therapeutic role. Based on the findings from the Phase III EMBRACE trial (NCT01945775 clinical trial), our analysis reveals that the talazoparib group demonstrated a significant extension in progression-free survival, along with improved response markers and patient-reported outcomes when compared to conventional therapies. This study aims to assess the cost-effectiveness of talazoparib for treating advanced breast cancer with germline BRCA1/2 mutations and HER2 negativity, considering the perspectives of health services in China and the United States. The results obtained will serve as a valuable reference for promoting rational drug utilization and enhancing medical resource efficiency. To evaluate the cost-effectiveness of Talazoparib more scientifically and provide clinicians with chemotherapy options, this paper developed a Markov model based on the EMBRACA clinical trial (clinical Trails.gov No., NCT01945775) to simulate the survival events of breast cancer patients in the Talazoparib group and the standard treatment group. The state transition probability and clinical data of breast cancer patients during treatment were extracted from the phase III EMBRACA clinical trial. The cost data generated during the treatment process comes from local hospital pricing, other references, and expert consultation. This article uses US dollars to calculate the treatment cost and incremental cost-effectiveness ratio. Health outcomes are expressed in Quality Adjusted Life Years (QALYs). In addition, Outcomes were measured in quality-adjusted life-years (QALYs), and incremental cost-effectiveness ratio, which robustness was evaluated by deterministic and probabilistic sensitivity analyses. This article establishes a Markov model for single-item sensitivity analysis. The results show that the economic benefits of using Talazoparib as a new treatment strategy in both China and the United States are higher than other drugs, and it is cost-effective. Compared to the control group, the incremental cost incurred by the Talazoparib treatment group in China was $2484.48/QALY, with an incremental QALY of 1.5. However, Talazoparib in the United States holds a dominant position, saving costs of $10,223.43 and increasing QALYs by 1.5. The clinical treatment effect of Talazoparib group in BRCA1/2 mutant advanced breast cancer patients is better than that of the standard treatment group, and the progression free survival period is significantly prolonged. From the perspective of medical and health services in China and the United States, the Talazoparib group is more economical than the standard treatment group in treating patients with BRCA1/2 mutant advanced breast cancer. [ABSTRACT FROM AUTHOR]

Background: In the US, over 50% of suicide deaths are by firearm injury. Studies have found that limiting access to firearms, including storing them temporarily outside of the home or locking and unloading them securely at home, helps prevent suicide. Family members and other loved ones are in a unique position to encourage secure firearm storage. This paper describes the development of a workshop to empower loved ones of individuals at risk for suicide to discuss secure firearm storage in New York State. Methods: Using a multistakeholder engagement framework, we partnered with New York State county-level suicide prevention coalitions, local firearms experts, and other stakeholders to develop a 90-min workshop addressing secure firearm storage for suicide prevention. Pilot workshops were co-facilitated by a suicide prevention coalition member and a local firearms expert. Feedback gathered via surveys from workshop attendees and interviews with workshop co-facilitators were used to revise workshop content and inform dissemination. Following pilot workshops, a 1-day training event was held for potential future facilitators, and survey data were collected to assess trainee experiences and interest in facilitating future workshops. Data analysis included rapid qualitative analysis of interviews and statistical analysis of survey responses about acceptability of workshop. Results: Four pilot workshops included a total of 23 attendees. Pilot workshop attendees endorsed willingness and confidence to discuss secure firearm storage with a family member or loved one. The training event included 42 attendees, of which 26 indicated interest in facilitating a workshop within the next year. Co-facilitators agreed on several key themes, including the importance of having a "trusted messenger" deliver the firearms portion of the workshop, keeping the conversation focused on firearm safety for suicide prevention, and developing interventions that reflect firearm owning community's culture. Conclusions: Consistent with a public health approach to suicide prevention, this study leveraged a multistakeholder engagement framework to develop a community-based workshop empowering loved ones of individuals at risk for suicide to discuss secure firearm storage. The workshop will be disseminated across New York State. We noted positive and collaborative relationships across stakeholder groups, and willingness to facilitate the workshop among both suicide prevention and firearm stakeholders. [ABSTRACT FROM AUTHOR]

Publicly available electric vehicle (EV) infrastructure is pivotal for the United States EV transition by 2030. Existing infrastructure lacks equitably distribution to low-income and underrepresented communities, impeding mass adoption. Our study, utilizing 2021 micro-level data from 121 million United States households, comprehensively examines income and racial disparities in EV infrastructure accessibility. Our analysis of national averages indicates that lower-income groups face less accessibility to public EV infrastructure in both urban and rural geographies. Black households experience less rural accessibility, but greater urban accessibility compared to White households conditioning on income. However, our localized analysis uncovers significant variations in accessibility gaps among counties, rural and urban settings, and dwelling types. While Black households experience greater urban accessibility nationally, a closer look at the county level reveals diminishing advantages. This study identifies areas with pronounced inequality and urgent needs for enhanced accessibility, emphasizing the necessity for tailored solutions by local governments to enhance equitable access to EV infrastructure. This paper finds that on average lower-income groups encounter reduced accessibility to public EV infrastructure in urban and rural areas. Black households have less rural accessibility, but greater urban accessibility compared to White households. [ABSTRACT FROM AUTHOR]

Introduction: This study presents a global research scenario in the broad domain of osteoarthritis (OA) research, using quantitative and qualitative publication and citation indicators. Methods: The study is based on 45,368 global publications, sourced from the Scopus bibliographical database, covering three decades (1994–2023). We studied the performance of the top 12 developed and top 12 developing countries. The key countries, organizations and authors at national and international levels were identified. The broad subject areas and key journals contributing to global OA research were delineated, besides identifying the broad characteristics of highly cited papers in the field. Results: The United States and China were the most productive countries, while the Netherlands and Canada made the largest citation impact. Harvard Medical School and the University of Sydney made the most contribution, while Boston University and Pfizer Inc., USA registered the highest citation impact. Hunter DJ and Guermazi A were the most productive authors, while Lohmander LS, and Hochberg MC registered the highest citation impact. Osteoarthritis and Cartilage (n = 4879) and Annals of the Rheumatic Diseases (n = 786) published the maximum papers, while Arthritis and Rheumatism and Nature Reviews Rheumatology registered the largest citation impact. The highly cited papers with 100 or more citations constituted 6.25% of the total publications. Conclusions: There has been a systematic growth of publications on OA. The research on OA was mainly done in developed countries, with the maximum publications coming from the United States of America, China and Canada. The most impactful publications on OA were from the Netherlands, Canada and the United States of America. [ABSTRACT FROM AUTHOR]

Throughout the nineteenth century, federal Indian policy oscillated between two extreme positions: assimilation versus isolation. While scholars have often been interested in the impact of past federal policy on current levels of economic development among American Indian tribes, none have explicitly examined the influence of federal assimilation policy on long-run economic development. In this paper, I take advantage of tribal-level variation in the application of federal policies to estimate the effect of assimilation on long-run economic performance. To quantify the impact of such policies, I introduce a novel measure of cultural assimilation: the prevalence of traditional indigenous names relative to common American first names. To calculate the distribution of name types, I have gathered the names and locations for all American Indians enumerated in the 1900 United States census. After classifying each name, I calculated the reservation-specific share of non-indigenous names. I estimate the relationship between cultural assimilation in 1900 and per capita income from 1970 through 2020. I find that historical levels of assimilation are consistently associated with higher levels of per capita income in all census years. The results are robust to the inclusion of a variety of cultural and institutional controls and regional fixed effects. [ABSTRACT FROM AUTHOR]

By January 2024, the COVID-19 pandemic claimed more than 1.1 million deaths in the United States (U.S.). People in prison are particularly vulnerable to COVID-19 as they have no ability to socially distance, secure masks, disinfect their environment or have as much access to tests or vaccinations as is available in the community. In addition, many of these individuals reside in crowded conditions with little ventilation, which makes the spread of the virus more likely. In this paper, we used data from two projects, including the UCLA Law COVID Behind Bars Data Project and the COVID Prison Project, and supplemented these with publicly available data to examine the number of deaths and infection rates caused by COVID-19 among people in prison and prison staff in the U.S., as reported by the population of those facilities. We found that the incidence of infections and death rates in prisons were affected by crowding, prison security type (maximum, medium, minimum, or mixed) and level of prison (state or federal). People in prison who were less likely to have as much human contact (e.g., maximum-security prisons) were also less likely to be afflicted with COVID-19. People in prison were twice as likely to be infected by COVID-19 but had a similar death rate compared to the general public. Prison overcrowding increased the infection rate. The most effective state health policy was to quarantine people who had close contact with confirmed, positive cases. Further, state prisons demonstrated a higher death rate compared to federal prisons. Greater efforts to ameliorate COVID-19 and similar pathogens should be directed at state prisons with lower-level security and prisons with closer contact with the community. Quarantining close-contacts and restricting movements were the most effective state-level responses to reduce infections in prisons during April 2020 to April 2022. [ABSTRACT FROM AUTHOR]

As the world is reopening from the unprecedented global pandemic, investigating how the intensity of transmission and responsive policies affect passenger air traffic demand is valuable for the aviation industry recovery and post-pandemic economic development. This paper investigates the effects of confirmed COVID-19 cases and state government policies at 28 hub airports in the United States from March 2020 to September 2021 by proposing an origin-destination (OD) spatial temporal econometric model. The investigation finds that (1) confirmed COVID-19 cases and state government policies had the highest effects on air traffic in the same month as these events occurred and the effects were diminishing in the following months; (2) The policy of internal movement restrictions in a given state generated a higher impact for trips arriving at this state, while confirmed COVID-19 cases and the testing policy generated a higher impact for trips departing from this state; (3) Reopening offices, lifting movement restrictions, maintaining flexibility in accessing COVID-19 tests, and using facial covering onboard are effective policies for aviation industry recovery. This paper aims to be a timely study on air travel demand when the domestic traffic has almost achieved the pre-pandemic level, offering insights into recovery of the aviation industry and preparation for future uncertainties. In addition, the proposed OD spatial temporal model which captures OD spatial dependences and temporal correlations simultaneously can equip spatial economists with an innovative and powerful tool. [ABSTRACT FROM AUTHOR]

In both Canada and the United States, immigrants often experience different residential outcomes than non-immigrants. Previous research often attributes these differences to differential treatment in either the labour market or the housing market. We adopt a unique approach in this paper, comparing the behavior of racial groups in Canada and the United States, two countries with large non-white immigrant populations, and distinct housing and labour markets. We examine the role that factors such as immigration status, ethnic group, and housing costs play in differentiating the housing careers of White, South Asian, Black, Latin American, Filipino, and Chinese immigrants from their White native-born counterparts. We find that immigrants often converge upon the native-born in both countries, and that the differences between countries are not nearly as stark as the differences between groups. [ABSTRACT FROM AUTHOR]

Dominant explanations of bankruptcy's political development in the United States emphasize how the relatively concentrated interests of creditors and bankruptcy professionals combined with pro-debtor ideology to support the development of a uniquely liberal and comprehensive bankruptcy system. The dominant explanations elucidate much about bankruptcy's political development, but they do little to explain bankruptcy's racialized history and relationship with present-day racial inequality. In this paper, I use a Critical Race Theory (CRT) approach to expand our understanding of bankruptcy's political development. The analysis underscores the role bankruptcy played in converting dispossessed native land and the bodies and labor of enslaved people into financial assets for White families and how bankruptcy contributes to the racial wealth gap by facilitating predatory inclusion today. The paper concludes by considering contemporary proposals for bankruptcy reform in light of the analysis. [ABSTRACT FROM AUTHOR]

In higher education institutions, critical race theory (CRT) is known to be associated with fields that study racial disparities or systemic oppression such as law, education, and ethnic studies. The impression that CRT is unrelated to fields like business or computer science may have led scholars and practitioners from these disciplines to put their focus on elsewhere than on racial inequality and its implication in their research and practice, despite apparent need. To counter such fallacy, this review article—focusing primarily on the US context—discusses CRT literature in fields where its presence is less known which are nevertheless among the major domains of higher education institutions: health sciences, computer science and information technology, sports, business, and religion. By discussing example research of how scholars have utilized CRT in different fields to challenge the race-neutral thinking that often obscures structural racism, this paper exposes racism's ability to alter manifestations and to appear through various shapes and forms within the higher education context. Initial recommendations on how educators may engage in further discussions or actions will also be considered. This paper concludes that racist ideologies are often hidden behind discipline-specific vocabulary or technical language, and it is by tackling the ideologies at work underneath the technicalities can we address the chameleon-like nature of racism more effectively. [ABSTRACT FROM AUTHOR]

This paper studies the effect of option trading on corporate investment and financing policies. Based on prior literature, I hypothesize that option market induces informed trading and thus reduces information asymmetry and the cost of capital. As a result, firms with high option trading have more investment and financing. Specifically, based on the United States public data, this paper finds that option trading volume increases corporate investment and financing, but reduces cash holdings and corporate payouts. These results are robust to the inclusion of industry or firm fixed effect, a control for endogenous options trading, and the use of alternative measures of option trading and corporate policies. The effect of option trading is stronger for firms with higher information asymmetry problems. Finally, this paper finds the results are inconsistent with the "quiet Life" hypothesis and the catering hypothesis. [ABSTRACT FROM AUTHOR]

Although not widely known, public works employees in the United States were designated as emergency providers during critical incidents in 2003 and have provided these public works services, when activated. These public works employees may be either employees of a specific government entity or, more recently, privately contracted employees who provide similar services for a government entity. First responders working critical incidents are at risk for psychological trauma and posttraumatic stress disorder (PTSD). It is less clear, however, whether government/contracted public works employees working the same critical incidents are subject to the same risk of onset. This paper reviewed 24 empirical studies assessing this possible association from 1980 to 2020. These studies included 94,302 government/contracted employees. Psychological trauma/PTSD was reported in all 24 manuscripts assessing PTSD. Three of these studies additionally reporting serious somatic health problems. Public works employees are at risk for onset and this is a worldwide issue. Study findings and treatment implications are presented. [ABSTRACT FROM AUTHOR]

This introduction to the 50th anniversary special issue of Higher Education recounts the history of the journal and reflects on the evolution and expansion of the journal and the field. Higher education studies is an object-oriented field that combines academic explanations with practical interventions. The journal takes an agnostic approach to disciplinary frameworks, theories, and methodologies and an eclectic and inclusive approach to topics. It began in 1972 with a preoccupation with the nature and implications of mass higher education systems, including internationally comparative analyses, and with a focus on policy and planning. Most of the earlier themes of research in the field have continued to the present, but as mass higher education systems have spread across the world, so has the journal's author list and editorial group. Higher education studies remain biased to the Anglophone and Euro-American worlds in their topics, theorizations, and author lists. Between 1996 and 2018, the USA and other English-speaking countries accounted for about 70% of authorship in the six journals with the highest impact factor. However, in Higher Education, that proportion was just over 45%, indicating some progress in the journal's efforts to pluralize, partly through the growth of papers from China. The introduction looks forward, anticipating growth in contributions from the global South, and further inquiry into the purposes of higher education and into its relations in social context. Finally, the introduction discusses the 50th anniversary papers that follow, contributed by twelve present and past editors of the journal. [ABSTRACT FROM AUTHOR]

The aim of this paper is to examine immigration and environmental degradation using bibliometric analysis. This paper also analyzes sources of publication, authorship, citations, distributions publications and other bibliometric indicators. The study focuses on a total of 1372 articles published from 2000 to 2020. These articles were collected through an automated process from the Scopus database and later analyzed using techniques such as bibliometric indicators analysis, VOSviewer, and Perish or Publish. The research identified 991 articles from varieties of published sources. The topic of immigrants and environmental degradation has been an emerging topic since 1981. Starting in 2000, most of the scholars actively producing an articles pertinent to this topic. Most of the articles were published in journals, and English is the primary language of research. United States is the leading country in contributing the publications. Meanwhile, the most significant fields in which the sources were produced were environmental science, agricultural and biological sciences, arts and humanities and earth and planetary sciences. However, some limitations has been found. It has been suggested for future research, to lengthen this work to other databases, as well as bibliometric analyses of immigration and environmental degradation in developed and developing countries by adding a new keyword such as energy consumption and climate change. This paper aims to assess recent trends in the expansion of academic literature on immigration and environmental degradation using the bibliometric analysis method. Network visualization and bibliometric indicators are used in this paper to present the results. [ABSTRACT FROM AUTHOR]

Background: Interleukin17 (IL17) is an important cytokine in host defense at mucosal surfaces and also mediates many autoimmune diseases, including rheumatoid arthritis (RA). In recent years, many types of research relevant to the structure and function of IL17 have been identified. However, there is no bibliometric analysis in this research field. This study aims to explore the history, research hotspots, and emerging trends of IL17 from the perspective of the structure and function dynamics. Methods: Articles relevant to IL17 in the last two decades were retrieved through the Web of Science Core Collection (WoSCC) database. The bibliometric analysis was performed by VOSview. Results: A total of 882 papers in this research were analyzed from 65 countries, and the rate of published articles has increased from 2008 annually, with the USA, China, and Germany leading the research effort. Frontiers in Immunology has significantly impacted research in this field and the University of Pittsburgh was the leading institution. Gaffen, Sarah L. from the University of Pittsburgh was the most productive researcher in this field and Papp Ka from the Probity Medical Research Incorporate of Canada is the most co-cited author. The analysis of keywords showed that inflammation, expression, Th17 cells, and cytokines were the main hotspots and frontier directions of IL17. The trend of clinical application in the future is the development of new therapy drugs based on the structure of IL17 or IL17 signaling pathway molecular. Conclusions: Our research summarized the developments and research trends of IL17 and would help researchers understand the research status of IL17 and provide a reference for future researchers as soon as possible. [ABSTRACT FROM AUTHOR]

The supply / demand issue in behavioral health care is a well-established fact, and the mental health toll of the COVID-19 pandemic continues to add challenges to an already taxed system. Existing healthcare models are not set up to adequately address the increasing mental health related needs. As such, innovative models are needed to provide patients with access to appropriate, evidence-based behavioral health care within routine clinical care. This paper introduces Precision Behavioral Health (PBH) as an example of such a model. PBH is an innovative, digital first care delivery model that provides an ecosystem of evidence-based digital mental health interventions to patients as a frontline behavioral health treatment within routine care in a large multispecialty group medical center in the United States. This paper describes the implementation of PBH within a practice research network set-up as part of an integrated behavioral health department. We will present how our team leveraged the RE-AIM (Reach, Effectiveness, Adoption, Implementation, Maintenance; "What is RE-AIM?," n.d.) implementation science framework, which emphasizes the design, dissemination, and implementation processes at the individual, staff, and organizational levels, to prioritize key implementation constructs to enhance the successful integration of PBH within routine care. We describe how each of these constructs were operationalized to aid data gathering for rapid evaluation and lessons learned. We discuss the benefits of these types of initiatives across multiple stakeholders including patients, providers, organizations, payers, and digital intervention vendors. [ABSTRACT FROM AUTHOR]

Background: The Society of American Gastrointestinal and Endoscopic Surgeons (SAGES) Masters Program designated bariatric surgery as a clinical pathway. Among the tiers of the Masters Program, revisional bariatric surgery is the highest tier of "mastery" within the pathway. This article presents the top 10 seminal studies representing the current landscape of revisional bariatrics. Methods: The literature was systematically searched and seminal articles designated by consensus agreement of the SAGES Metabolic and Bariatric Surgery committee using multiple criteria, including impact on the field, citation frequency, and expert opinion. Articles were reviewed by committee members and presented in summarized fashion. Results: The top 10 papers are presented in grouped thematic categories covering the early evolution of revisional bariatrics, changing criteria for reoperative bariatric surgery, divergence of revision versus conversion bariatric surgery, and recent technologic innovations in revisional bariatric surgery. Each summary is presented with expert appraisal and commentary. Conclusion: These seminal papers represent a snapshot of the dynamic field of revisional bariatric surgery and emphasize the need to not only remain current with contemporary trends but also keep a patient-oriented perspective on patient and intervention selection for optimal success. [ABSTRACT FROM AUTHOR]

The onset of the COVID-19 pandemic in the United States may have led investors or other individuals to expect sharp drops in output and rising prices, as well as drastic changes in fiscal and/or monetary to deal with the crisis. This paper analyses the co-movement between expected inflation and interest in the U.S. by using a battery of wavelet tools over the period from January 21, 2020 to March 28, 2022. Wavelet methods are used to examine the linkages between expected inflation and nominal interest rates of varying terms, focusing on the direction of co-movement and their sub-time horizons. Both bivariate wavelet and partial wavelet models that incorporate daily COVID-19 case counts or a financial stress variable find that the relationship holds primarily in the longer short-run (more than 6 months), with connections stronger for maturities of 5 years than for 1 year or less. The expectation related to the 'inflation–interest rate' nexus and type of bond maturity seem to be significantly shaped by the pandemic peak and anticipated duration of the disease. More precisely, the longer the anticipated duration of the pandemic is, the higher the expected inflation rate, bond yield rate, and maturity are. The interaction between expected inflation and interest seems to be very sensitive to pandemic and financial stress in terms of lead-lag status, in the very short to short-run, for 5 and 10 years bond maturity. This seems to be explained by investor hazard to a new particular unknown stimulus caused by the pandemic and its socio-economic consequences. [ABSTRACT FROM AUTHOR]

Understanding projected changes in flooding across the contiguous United States (CONUS) helps increase our capability to adapt to and mitigate against this hazard. Here, we assess future changes in flooding across CONUS using outputs from 28 global climate models and four scenarios of the Coupled Model Intercomparison Project Phase 6. We find that CONUS is projected to experience an overall increase in flooding, especially under higher emission scenarios; there are subregional differences, with the Northeast and Southeast (Great Plains of the North and Southwest) showing higher tendency towards increasing (decreasing) flooding due to changes in flood processes at the seasonal scale. Moreover, even though trends may not be detected in the historical period, these projected future trends highlight the current needs for incorporating climate change in the future infrastructure designs and management of the water resources. This paper assesses future changes in flood magnitude across the conterminous United States based on multiple climate change scenarios. The results suggest that annual maximum peak discharge is projected to become more extreme under higher emission scenarios. [ABSTRACT FROM AUTHOR]

In the United States, recent changes to the National Statistical System have amplified the geographic-demographic resolution trade-off. That is, when working with demographic and economic data from the American Community Survey, as one zooms in geographically one loses resolution demographically due to very large margins of error. In this paper, we present a solution to this problem in the form of an AI based open and reproducible geodemographic classification system for the United States using small area estimates from the American Community Survey (ACS). We employ a partitioning clustering algorithm to a range of socio-economic, demographic, and built environment variables. Our approach utilizes an open source software pipeline that ensures adaptability to future data updates. A key innovation is the integration of GPT4, a state-of-the-art large language model, to generate intuitive cluster descriptions and names. This represents a novel application of natural language processing in geodemographic research and showcases the potential for human-AI collaboration within the geospatial domain. [ABSTRACT FROM AUTHOR]

Meeting the needs of dual-career academic couples has become an important part of university efforts to foster family-friendly workplaces. Many universities have developed formal or informal approaches to addressing dual-career issues, but variation across institutions has made it difficult to detect wider patterns or probe their implications. In this paper, we analyze the dual-career policies and materials (848 documents total) of all R1 institutions in the United States. As with studies from roughly two decades ago, we find deficiencies in institutional support and transparency. However, given reduced state revenues for institutions of higher education and a rise in precarious employment arrangements over the same time period, conditions for academic couples are arguably worse today. In order for universities to address these concerns and contribute meaningfully to broader forms of inclusion, we argue that there is a need for sustained funding commitments and infrastructural support for dual-career programs. [ABSTRACT FROM AUTHOR]

Transportation practitioners and scholars increasingly view car-free mobility as an essential component of a sustainable, healthy, and safe transportation future. In the United States, however, strikingly few households—only around 9%—do not own cars. Moreover, most zero-vehicle individuals—around 80%—are without vehicles due of constraint (e.g., because they cannot afford one), while a much smaller fraction—around 20%—are car-free because they can meet their mobility needs without one. This latter group is of interest to transportation researchers and practitioners, given the imperative to reduce driving and its associated negative externalities. In this paper, I examine factors that contribute to individuals' decisions to live car-free. This research is based on 430 comments posted on the social content-sharing website Reddit, in which commenters shared their first-hand experiences related to the prospect of going car-free. These comments were obtained from 46 threads situated in seven different US cities, focusing specifically on car ownership decisions. Commenters described accessible neighborhoods as foundational to decisions to forego a vehicle. While such conditions were typically necessary, however, they sometimes were not sufficient to foster car-free choices. Costs of car ownership, especially parking costs, were often the deciding factor for commenters who opted not to have a car. Finally, inconveniences related to car ownership and travel, like traffic-related stress, were discussed as benefits of living car-free. In sum, the observed individual decisions about car ownership tend to consist of people balancing supportive conditions for non-car travel against costs of and constraints on car-travel. [ABSTRACT FROM AUTHOR]

This paper addresses the notion of electronic economics by examining financial technology (fintech) firms' performance and corporate governance quality, using data from the United States. The findings support our maintained assumption that due to the economics of electronic platforms perused by financial technology firms, these firms outperform firms from other industries (non-Fintech). The final sample comprises 1,712 company-year observations between 2010 and 2019 (pre-COVID-19). The evidence suggests that our corporate governance quality index, developed from Organisation of Economic Cooperation and Development (www.oecd.org/corporate/corporate-governance-factbook.htm, 2019) guidelines, accurately captures corporate governance quality in the United States, principally due to the inclusion of an anti-bribery policy indicator, in the index. The results suggest that this evidence is not merely an artefact due to the corporate governance quality index potentially capturing priced risk factors. Our findings reveal that fintech firms have superior corporate governance quality than non-fintech and that fintech firms place more reliance on internal versus external corporate governance mechanisms, vis-a-vis companies in other industries. [ABSTRACT FROM AUTHOR]

American philosophical realism developed in two forms: "new" and "critical" realism. While the new realists sought to 'emancipate' ontology from epistemology and defended a direct theory of perception, the critical realists promoted a representationalist account of perception and thus argued for an epistemological dualism. Bertrand Russell's early philosophical writings figured prominently in both of these American realist camps. However, while the new realists quite enthusiastically embraced the Russellian analytic style of reasoning (and Russell himself appreciated the American new realists as anti-idealist allies), the critical realists were significantly more reserved toward Russell's point of view. In the present paper, I identify the reasons for this difference in reception. In particular, I will show that the critical realists' reservations pertained primarily to a more traditionalist—'continental'—account of philosophy, whereas the neo-realists proved instrumental in setting the stage for later full-blown analytic philosophy in the United States. [ABSTRACT FROM AUTHOR]

This paper investigates the effects of health insurance enrollment on health disparities among different racial groups in the United States. Two models were constructed and estimated empirically where a health insurance disparity model was nested in the health disparity model. The Blinder-Oaxaca decomposition method was used to measure potential racial discrimination in health status. The racial gap in health disparities was broken down by endowment and treatment effects. The results show that the health status gap can be explained by potential discrimination in health insurance enrollment between Blacks and Whites. Overall, health insurance enrollment plays a critical role in explaining racial disparities and a racial disparity in the healthcare industry explains a nontrivial portion of the differences in health status. [ABSTRACT FROM AUTHOR]

Shale gas reservoirs are contributing a major role in overall hydrocarbon production, especially in the United States, and due to the intense development of such reservoirs, it is a must thing to learn the productive methods for modeling production and performance evaluation. Consequently, one of the most adopted techniques these days for the sake of production performance analysis is the utilization of artificial intelligence (AI) and machine learning (ML). Hydrocarbon exploration and production is a continuous process that brings a lot of data from sub-surface as well as from the surface facilities. Availability of such a huge data set that keeps on increasing over time enhances the computational capabilities and performance accuracy through AI and ML applications using a data-driven approach. The ML approach can be utilized through supervised and unsupervised methods in addition to artificial neural networks (ANN). Other ML approaches include random forest (RF), support vector machine (SVM), boosting technique, clustering methods, and artificial network-based architecture, etc. In this paper, a systematic literature review is presented focused on the AI and ML applications for the shale gas production performance evaluation and their modeling. [ABSTRACT FROM AUTHOR]

This study offers a computable general equilibrium analysis of the $550 billion devoted to new infrastructure investment (new and remodeled physical infrastructure for transportation, information and public services) in the United States under the Infrastructure Investment and Jobs Act, a federal law signed by President Joseph Biden in November 2021. The simulations are based on the state-level distribution of funds and distinguish between the construction phase (short run) and the operational phase (long run). Gross domestic product (GDP) and labor demand react to the government spending stimulus after the first year by growing 0.24% and 0.44%, respectively. The gains derived from this investment plan are higher in the long term once investments increase the country's capital stock; GDP increases by 1.39% and wages by 3.94%. This paper analyzes the efficiency of the current distribution of funds across sectors, and finds that the current distribution benefits the United States economy more. Even though a slightly higher GDP impact could have been reached (1.42%) if all the funds were devoted to transport services, the price increases would result in lower real wage increases. [ABSTRACT FROM AUTHOR]

This paper presents an application that can be taken when conducting mental health intervention within the Latino immigrant population. Using a social ecological lens, it provides an overview of experiences and factors to detail the characteristics, trauma, and resilience factors present within this population. Utilizing Ungar's framework on resilience, that decenters the individual from experiences of trauma to position them alongside their social network and resources, it proposes an application for future intervention and research efforts. Addressing intervention at a foundational level allows for the supplementing and shaping of current methods to address the mental health needs of this community. [ABSTRACT FROM AUTHOR]

An editorial is presented on navigating the developmental and social transition from adolescence to adulthood. Topics include YYA interact with public social service systems designed to provide support in specific areas of need, with many served by multiple systems; and securing employment or education, independent living, and family formation.

COVID-19 has dramatically changed people's mobility geste patterns and affected the operations of different functional spots. In the environment of the successful reopening of countries around the world since 2022, it's pivotal to understand whether the reopening of different types of locales poses a threat of wide epidemic transmission. In this paper, by establishing an epidemiological model based on mobile network data, combining the data handed by the Safegraph website, and taking into account the crowd inflow characteristics and the changes of susceptible and latent populations, the trends of the number of crowd visits and the number of epidemic infections at different functional points of interest after the perpetration of continuing strategies were simulated. The model was also validated with daily new cases in ten metropolitan areas in the United States from March to May 2020, and the results showed that the model fitted the evolutionary trend of realistic data more accurately. Further, the points of interest were classified into risk levels, and the corresponding reopening minimum standard prevention and control measures were proposed to be implemented according to different risk levels. The results showed that restaurants and gyms became high-risk points of interest after the perpetration of the continuing strategy, especially the general dine-in restaurants were at higher risk levels. Religious exertion centers were the points of interest with the loftiest average infection rates after the perpetration of the continuing strategy. Points of interest such as convenience stores, large shopping malls, and pharmacies were at a lower risk for outbreak impact after the continuing strategy was enforced. Based on this, continuing forestallment and control strategies for different functional points of interest are proposed to provide decision support for the development of precise forestallment and control measures for different spots. [ABSTRACT FROM AUTHOR]