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Research on firearm purchaser licensing laws has found population level reductions in firearm-related mortality. Limited research has been conducted specifically examining the impact of these laws among adolescents and emerging adults. We obtained death data from the National Center for Health Statistics from 1990 to 2019. We generated state-year rates of homicide and suicide, stratified by firearm involvement, for decedents aged 15 to 24. We stratified by race and ethnicity (white, Black, and Hispanic) to assess for differential policy effects. We used stacked difference-in-difference and augmented synthetic control modeling to estimate law repeal or adoption. Repeal of firearm purchaser licensing laws was associated with significantly higher rates of firearm homicide and suicide among those age 15 to 24. The adoption of these laws was associated with significantly lower rates of firearm homicide and suicide among this group. These laws are a promising supply-side intervention to reduce firearm mortality among those with elevated violence vulnerability.

This article provides a rationale and resources for teaching climate justice and civic engagement across the STEM curriculum in K-12 and higher education. It presents a culturally responsive approach to STEM teaching and learning that centers social justice issues arising from climate impacts, and energy extraction and development activities, with a focus on participatory and equitable solutions and actions. This approach promotes STEM curricula that introduce social justice issues into the classroom as an entry point for investigating the issues using STEM. A social justice approach allows students to make meaning of abstract and disparate STEM knowledge and skills through real-world issues aligned with their interests, experiences, identities, and communities. In this article, we provide resources for teaching STEM through climate justice and civic engagement that are being collectively developed by groups in Washington (WA) State, led by Deb Morrison at the University of Washington (K-12); Sonya Remington Doucette and Heather Price at local community colleges (Bellevue College and North Seattle College); and Irene Shaver at the WA State Board of Community and Technical Colleges.

BackgroundTobacco smoke exposure (TSE) has inflammatory and immunosuppressive effects which may be associated with altered levels of inflammatory markers and pediatric illnesses.ObjectiveThe primary objective was to examine the associations of cotinine-confirmed and parent-reported child TSE patterns and discharge diagnoses with C-reactive protein (CRP), IL-8, and IL-10 in 0-11-year-old pediatric emergency department (PED) patients who lived with ≥ 1 smoker.MethodsSaliva samples were obtained from 115 children with a mean (SD) age of 3.5 (3.1) years during the PED visit (T0). Saliva was analyzed for cotinine, CRP, IL-8, and IL-10. Parents self-reported their children's TSE patterns; children's medical records were reviewed to identify and categorize discharge diagnoses. Linear regression models were utilized to find T0 associations of cotinine-confirmed and parent-reported child TSE patterns, and PED diagnoses with each inflammatory marker. All models were adjusted for child race/ethnicity, child sex, annual household income, and housing type. The TSE models also adjusted for child discharge diagnosis.ResultsAt T0, the geometric mean (GeoM) of cotinine was 4.1 ng/ml [95 %CI = 3.2-5.2]; the GeoMs of CRP, IL-8, and IL-10 were 3,326 pg/ml [95 %CI = 2,696-4,105], 474 pg/ml [95 %CI = 386-583], and 1.1 pg/ml [95 %CI = 0.9-1.3], respectively. Parent-reported child TSE patterns were positively associated with ln-transformed CRP levels, while adjusting for the covariates (β^ = 0.012 [95 %CI:0.004-0.020], p = 0.037). In the parent-reported child TSE pattern model, there were significant positive associations between the covariate of child age with CRP and IL-8 levels (p = 0.028 and p

Lung cancer is the leading cause of cancer-related deaths in Canada, with non-small-cell lung cancer (NSCLC) accounting for the majority of cases. Timely access to comprehensive molecular profiling is critical for selecting biomarker-matched targeted therapies, which lead to improved outcomes in advanced NSCLC. Tissue biopsy samples are the gold standard for molecular profiling; however, several challenges can prevent timely and complete molecular profiling from being performed, causing delays in treatment or suboptimal therapy selection. Liquid biopsy offers a minimally invasive method for molecular profiling by analyzing circulating tumour DNA (ctDNA) and RNA (cfRNA) in plasma, potentially overcoming these barriers. This paper discusses the outcomes of a multidisciplinary working group in Ontario, which proposed three eligibility criteria for liquid biopsy reimbursement: (1) insufficient tissue for complete testing or failed tissue biomarker testing; (2) suspected advanced NSCLC where tissue biopsy is not feasible; and (3) high-risk patients who may deteriorate before tissue results are available. The group also addressed considerations for assay selection, implementation, and economic impact. These discussions aim to inform reimbursement and implementation strategies for liquid biopsy in Ontario’s public healthcare system, recognizing the need for ongoing evaluation as technology and evidence evolve.

ABSTRACT: Udder conformation is directly related to milk yield, cow health, workability, and welfare. Automatic milking systems (AMS, also known as milking robots) have become popular worldwide, and the number of dairy farms adopting these systems has increased considerably over the past years. In each milking visit, AMS record the location of the 4 teats as Cartesian coordinates in an xyz plan, which can then be used to derive udder conformation traits. Because AMS generate a large amount of data for individual cows per milking visit, they can contribute to an accurate assessment of important traits such as udder conformation without the addition of human classifier errors (in subjective scoring systems). Therefore, the primary objectives of this study were to estimate genomic-based genetic parameters for udder conformation traits derived from AMS records in North American Holstein cattle and to assess the genetic correlation between the derived traits for evaluating the feasibility of multitrait genomic selection for breeding cows that are more suitable for milking in AMS. The Cartesian teat coordinates measured during each milking visit were collected by 36 milking robots in 4,480 Holstein cows from 2017 to 2021, resulting in 5,317,488 records. A total of 4,118 of these Holstein cows were also genotyped for 57,600 SNPs. Five udder conformation traits were derived: udder balance (UB, mm), udder depth (UD, mm), front teat distance (FTD, mm), rear teat distance (RTD, mm), and distance front–rear (DFR, mm). In addition, 2 traits directly related to cow productivity in the system were added to the study: daily milk yield (DY) and milk electroconductivity (EC; as an indicator of mastitis). Variance components and genetic parameters for UB, UD, FTD, RTD, DFR, DY, and EC were estimated based on repeatability animal models. The estimates of heritability (± SE) for UB, UD, FTD, RTD, DFR, DY, and EC were 0.41 ± 0.02, 0.79 ± 0.01, 0.53 ± 0.02, 0.40 ± 0.02, 0.65 ± 0.02, 0.20 ± 0.02, and 0.46 ± 0.02, respectively. The repeatability estimates (± SE) for UB, UD, FTD, RTD, and DFR were 0.82 ± 0.01, 0.93 ± 0.01, 0.87 ± 0.01, 0.83 ± 0.01, and 0.88 ± 0.01, respectively. The strongest genetic correlations were observed between FTD and RTD (0.54 ± 0.03), UD and DFR (−0.47 ± 0.03), DFR and FTD (0.32 ± 0.03), and UD and FTD (−0.31 ± 0.03). These results suggest that udder conformation traits derived from Cartesian coordinates from AMS are moderately to highly heritable. Furthermore, the moderate genetic correlations between these traits should be considered when developing selection subindexes. The most relevant genetic correlations between traits related to cow milk productivity and udder conformation traits were between UD and EC (−0.25 ± 0.03) and between DFR and DY (0.30 ± 0.04), in which both genetic correlations are favorable. These findings will contribute to the design of genomic selection schemes for improving udder conformation in North American Holstein cattle, especially in precision dairy farms.

Gender diversity signals inclusivity, but meta-analyses suggest that it does not boost individual or group performance. This research examined whether a social-psychological intervention can unlock the benefits of gender diversity on college physics students' social and academic outcomes. Analyses of 124 introductory physics classrooms at a large research institution in the eastern United States (N = 3,605) indicated that in classrooms doing "business as usual," cross-gender collaboration was infrequent, there was a substantial gender gap in physics classroom belonging, and classroom gender diversity had no effect on performance. The ecological-belonging intervention aimed to establish classroom norms that adversity in the course is normal and surmountable. In classrooms receiving the intervention, cross-gender interaction increased 51%, the gender gap in belonging was reduced by 47%, and higher classroom diversity was associated with higher course grades and 1-year grade point average for both men and women. Addressing contextual belongingness norms may help to unlock the benefits of diversity.

[This paper is part of the Focused Collection on Instructional labs: Improving traditions and new directions.] This review article provides an overview of research on the topic of gender equity in educational physics labs. As many institutions and instructors seek to evolve or transform physics lab learning, it is important that changes are made that improve equity for all students along multiple axes of identity, including gender. The studies highlighted in this review article describe the existence of complex gender-based differences, e.g., in opportunities to tinker with lab equipment, as well as differences in grades, conceptual understanding, and motivational outcomes across a broad range of lab curricula and contexts. The studies also illustrate and explore social interactions and structures that can impact students' experiences based on their gender identities. Although there has been less scholarship focused on proposals to reduce gender-based inequities in labs, this review article also provides an overview of some relevant proposals as well as associated research results. This overview of research on gender equity in physics labs helps to make clear that future scholarship on equity in physics labs should adopt gender frameworks that allow researchers to transcend binary gender identities and student deficit framing of research results. Likewise, a case is made that future research is needed on equity along other axes of identity, as well as research that accounts for the intersectionality of different identities, in the physics lab context.

Abstract Background Handgun purchaser licensing (HPL) laws mandate individuals to obtain a license from law enforcement before buying a firearm. Research indicates these laws effectively reduce various forms of fatal firearm violence, including homicides, suicides, and mass shootings. Our study sought to assess the impact of HPL laws on non-fatal firearm violence. Methods Utilizing the augmented synthetic control method (ASCM), we estimated the average treatment effect on the treated (ATT) resulting from a full repeal of an HPL law in Missouri (2007), a partial repeal in Michigan (2012), and an adoption on HPL law in Maryland (2013) on firearm injury hospitalizations. We utilized RAND's healthcare cost and utilization project-based dataset from 2000 to 2016 for our outcome variable. We conducted in-time placebo testing and leave-one-out donor pool testing as sensitivity analyses. Results Maryland’s adoption was associated with a statistically significant 32.3% reduction in firearm-related injury hospitalization (FIH) rates (ATT = − 0.497, standard error (SE) = 0.123); Missouri’s repeal was associated with a statistically significant 35.7% increase in FIH rates (ASCM = 0.456, SE = 0.155); and Michigan’s partial repeal showed no statistically significant associations with FIH rates (ATT = − 0.074, SE = 0.129). Sensitivity analyses confirm the robustness of the estimated HPL effects. Discussion HPL laws appear to be protective against hospitalizations for nonfatal firearm injuries. These findings align with prior research indicating that HPL laws are effective in reducing fatal firearm violence. States without such licensing systems ought to consider these robust policies as a means to address firearm violence.

Mitchell L Doucette,1 Dipak Hemraj,1 Douglas Bruce2 ,† Emily Fisher,1 D Luke Macfarlan1 1Health Economics and Outcomes Research, Leafwell, Miami, FL, USA; 2Department of Health Sciences, DePaul University, Chicago, IL, USA†Professor Douglas Bruce passed away on June 11th, 2024Correspondence: Mitchell L Doucette, Health Economics and Outcomes Research, Leafwell Inc., Miami, FL, USA, Tel +1 203 293 9416, Email mdoucette@leafwell.comIntroduction: Existing research on medical cannabis patients has often overlooked those younger than 21. This study aimed to detail the frequency and rate of pediatric medical cannabis patients in the US using a large patient database.Methods: Utilizing Leafwell Patient Database data from 2019 to mid-2023, we described demographics and qualifying conditions, employing descriptive statistics and χ 2 tests to discern differences between minors (0– 17 years) and young adults (18– 20 years). We calculated rates per 100,000 population by state.Results: Analyzing 13,855 patients, 5.7% were minors and 94.3% were young adults. Anxiety emerged as the primary self-reported condition for both groups, yet differences were seen for other conditions. Differences were observed by race/ethnicity, health insurance status, residency in adult-use states, and number of reported conditions. Notably, both groups reported a similar average number of conditions.Conclusion: This study underscores demographic distinctions between minor-aged medical cannabis patients and young adults. There is a need for comprehensive clinical research addressing efficacy, safety, and tailored guidelines specific for pediatric medical cannabis patients. Such insights are pivotal for healthcare providers and policymakers in navigating medical cannabis treatment protocols.Plain Language Summary: This paper describes the demographics and medical conditions of medical cannabis patients under the age of 21 in the United States based on data from the Leafwell Patient Database spanning 2019 to mid-2023. We found that there is a significant number of medical cannabis users aged 20 or younger, with variations in demographics and conditions between minors (under 18) and young adults (18-20). The findings indicate that minor patients are predominantly white, non-Hispanic, residing in non-adult-use states, and report a lower number of conditions per patient compared to young adults. Anxiety, chronic pain, and PTSD are among the most commonly self-reported conditions for both age groups. There is need for additional clinical studies to understand the role of medical cannabis in addressing symptoms and improving the quality of life for conditions such as chronic pain, anxiety, and PTSD in the pediatric population. The study is limited by its reliance on self-reported data but represents the largest cohort of pediatric medical cannabis users in the world. Further investigation by academics and clinical scientists ought to inform the appropriate integration of medical cannabis in young patients.Keywords: medical cannabis, pediatric, patient database, United States

Abstract Background There are few reports of longitudinal serologic responses in children following Sars-CoV-2 infection and vaccination. This study describes longitudinal SARS-CoV-2 antibody responses following infection, vaccination, or both (hybrid immunity) in a cohort of Canadian children. The objectives of our study were to compare antibody levels following SARS-CoV-2 infection, vaccination, and hybrid immunity and to examine antibody decline after final antigen exposure. Methods The Alberta Childhood COVID-19 Cohort (AB3C) study was a prospective longitudinal cohort study conducted from July 2020 to September 2022 with repeat sampling across 5 visits. Children under 18 years of age were enrolled for serial measurement of antibody responses to SARS-CoV-2 virus vaccine and infection. Results The final sample size was 919; participants were 50.5% female, 48.2% were > 12 years and 88.5% were white ethnicity. The median peak spike IgG level of those with only infection was not different from those with no vaccination or infection (233 AU/mL (IQR: 99–944 AU/mL) vs. 3 AU/mL (IQR: 1–5 AU/mL; P = 0.1765). Participants with infections after vaccination had higher IgG levels than those where infection preceded vaccination (median: 36,660 (IQR: 22,084 − 40,000 AU/mL) vs. 17,461 AU/mL (IQR: 10,617 − 33,212 AU/mL); P

ABSTRACT: Identifying genome-enabled methods that provide more accurate genomic prediction is crucial when evaluating complex traits such as dairy cow behavior. In this study, we aimed to compare the predictive performance of traditional genomic prediction methods and deep learning algorithms for genomic prediction of milking refusals (MREF) and milking failures (MFAIL) in North American Holstein cows measured by automatic milking systems (milking robots). A total of 1,993,509 daily records from 4,511 genotyped Holstein cows were collected by 36 milking robot stations. After quality control, 57,600 SNPs were available for the analyses. Four genomic prediction methods were considered: Bayesian least absolute shrinkage and selection operator (LASSO), multiple layer perceptron (MLP), convolutional neural network (CNN), and GBLUP. We implemented the first 3 methods using the Keras and TensorFlow libraries in Python (v.3.9) but the GBLUP method was implemented using the BLUPF90+ family programs. The accuracy of genomic prediction (mean square error) for MREF and MFAIL was 0.34 (0.08) and 0.27 (0.08) based on LASSO, 0.36 (0.09) and 0.32 (0.09) for MLP, 0.37 (0.08) and 0.30 (0.09) for CNN, and 0.35 (0.09) and 0.31(0.09) based on GBLUP, respectively. Additionally, we observed a lower reranking of top selected individuals based on the MLP versus CNN methods compared with the other approaches for both MREF and MFAIL. Although the deep learning methods showed slightly higher accuracies than GBLUP, the results may not be sufficient to justify their use over traditional methods due to their higher computational demand and the difficulty of performing genomic prediction for nongenotyped individuals using deep learning procedures. Overall, this study provides insights into the potential feasibility of using deep learning methods to enhance genomic prediction accuracy for behavioral traits in livestock. Further research is needed to determine their practical applicability to large dairy cattle breeding programs.

Indigenous knowledge is central to understanding environment and health sciences in the Arctic, yet limited research in these fields has explored the human–animal–environment interface from the unique perspectives of Inuit women. Using a community-led, Inuit-centred research approach, we characterized the use and meaning of country food in the context of community well-being for Inuit women in Nunavut, Canada. In-depth conversational interviews and focus groups (n = 16) were held with Inuit women (n = 10) who are knowledge holders in the Qikiqtani region that hold decades of country food knowledge. Data were analyzed using thematic analysis and constant comparative methods. Inuit women described country food in the context of (1) well-being, connection, and identity, (2) hunger, craving, and healing, (3) food security and nourishment, and (4) change and adaptation. Inuit women described a wide range of country food as central to physical and mental health, food security, identity, culture, healing and medicine. Adaptive strategies were discussed, such as eating more fish when caribou were scarce. This research highlights the critical role of country food for health and well-being for Inuit women and shares knowledge and perspective that is relevant to wildlife and environment researchers, public health practitioners, policy makers, and others interested in advancing health, well-being, and food sovereignty in Inuit communities.

Background Transplantation using hearts obtained through donation after circulatory death (DCD) is increasing, but data on recipient renal outcomes are limited. Methods and Results Patients at a single institution who underwent heart transplantation using organs procured through DCD or donation after brain death (DBD) from April 2016 to August 2022 were included in this retrospective cohort study. Hemodynamic measures were collected via right heart catheterization performed 1 week after transplantation. Posttransplantation renal outcomes included estimated glomerular filtration rate at 1 week, 4 weeks, and 16 weeks, and the incidence of acute kidney injury (AKI) and renal replacement therapy within 1 week. The analysis included 225 patients (55 recipients of DCD). Baseline characteristics were comparable between recipients of DCD and DBD. Renal outcomes within 1 week posttransplantation in recipients of DCD were similar to recipients of DBD, including percent change in estimated glomerular filtration rate (−37.9% [−58.6 to −6.2] versus −31.9% [−52.4 to −9.9]; P=0.91), incidence of AKI (47.3% versus 46.5%; P>0.99) and incidence of renal replacement therapy (3.6% versus 4.7%; P>0.99). Recipients of DCD with AKI within 1 week (“early AKI”) did not recover to baseline estimated glomerular filtration rate (75.8 [60.2–91.3] mL/min per 1.73 m2) by week 16 (59.3 [46.9–73.6] mL/min per 1.73 m2; P=0.002), whereas recipients without early AKI exhibited comparable estimated glomerular filtration rate to baseline by week 4 (84.5 [70.8–98.5] mL/min per 1.73 m2; P=0.084). Similar trends were observed in recipients of DBD. Conclusions Recipients of DCD demonstrated similar renal outcomes compared with recipients of DBD, supporting the ongoing use of DCD transplantation. Early AKI was associated with persistent renal dysfunction for recipients of both DCD and DBD.

Hypoxic-ischemic encephalopathy (HIE) in neonates causes mortality and neurologic morbidity, including poor cognition with a complex neuropathology. Injury to the cholinergic basal forebrain and its rich innervation of cerebral cortex may also drive cognitive pathology. It is uncertain whether genes associated with adult cognition-related neurodegeneration worsen outcomes after neonatal HIE. We hypothesized that neocortical damage caused by neonatal HI in mice is ushered by persistent cholinergic innervation and interneuron (IN) pathology that correlates with cognitive outcome and is exacerbated by genes linked to Alzheimer's disease. We subjected non-transgenic (nTg) C57Bl6 mice and mice transgenically (Tg) expressing human mutant amyloid precursor protein (APP-Swedish variant) and mutant presenilin (PS1-ΔE9) to the Rice-Vannucci HI model on postnatal day 10 (P10). nTg and Tg mice with sham procedure were controls. Visual discrimination (VD) was tested for cognition. Cortical and hippocampal cholinergic axonal and IN pathology and Aβ plaques, identified by immunohistochemistry for choline acetyltransferase (ChAT) and 6E10 antibody respectively, were counted at P210. Simple ChAT+ axonal swellings were present in all sham and HI groups; Tg mice had more than their nTg counterparts, but HI did not affect the number of axonal swellings in APP/PS1 Tg mice. In contrast, complex ChAT+ neuritic clusters (NC) occurred only in Tg mice; HI increased that burden. The abundance of ChAT+ clusters in specific regions correlated with decreased VD. The frequency of attritional ChAT+ INs in the entorhinal cortex (EC) was increased in Tg shams relative to their nTg counterparts, but HI obviated this difference. Cholinergic IN pathology in EC correlated with NC number. The Aβ deposition in APP/PS1 Tg mice was not exacerbated by HI, nor did it correlate with other metrics. Adult APP/PS1 Tg mice have significant cortical cholinergic axon and EC ChAT+ IN pathologies; some pathology was exacerbated by neonatal HI and correlated with VD. Mechanisms of neonatal HI induced cognitive deficits and cortical neuropathology may be modulated by genetic risk, perhaps accounting for some of the variability in outcomes.

ObjectiveNorm Balance is an approach under the Theory of Planned Behavior (TPB) where subjective norm is weighted by the relative importance of others and self-identity is weighted by the relative importance of self. The relative importance was measured previously by a trade-off measure. In this study, we developed separate measures for the relative importance. The study objectives were to: 1) assess the construct validity of the separate measures; 2) examine the approach of Norm Balance in predicting pharmacists’ intention to collaborate with physicians to improve medication therapy; and 3) establish a modified TPB.MethodsWe selected a random sample of 750 Iowa pharmacists and conducted two surveys. The first survey was to examine intention prediction, and the second survey was to examine behavior prediction by measuring behavior among respondents to the first survey. The relative importance was measured by both the trade-off measure and the separate measures. Exploratory factor analyses were performed for the relative importance of others (separate measures) and subjective norm, and for the relative importance of self (separate measures) and self-identity. Regressions for intention prediction were conducted for TPB with self-identity and the approach of Norm Balance. The same regressions were also conducted for three subgroups according to the median of the relative importance of others (trade-off measure). Moreover, another regression was conducted for behavior prediction.Results239 practicing pharmacists responded to the first survey, and 188 responded to the second survey. The separate measures had cross factor loadings, whereas the trade-off measure had low correlations with other constructs. Both regressions for intention prediction explained 75% of the variance, with self-efficacy and attitude being strong predictors. Self-identity was not a predictor in the TPB with self-identify, but self-identity weighted by the relative importance of self was a significant predictor in the approach of Norm Balance. Regression coefficients of subjective norm and self-identify varied across subgroups. The regression for behavior prediction explained 30% of the variance, with intention and self-efficacy being two predictors.ConclusionThe trade-off measure was better than separate measures. The approach of Norm Balance appears to be a better model than the TPB with self-identity to examine pharmacist-physician collaboration.

Objectives: Post-marketing surveillance of sotrovimab's effect during implementation in the Canadian population is limited. Methods: The study used a propensity score–matched retrospective cohort design. Follow-up began between the periods of December 15, 2021 and April 30 2022. The study assessed any severe outcome defined as all-cause hospital admission or mortality within 30 days of a confirmed COVID-19–positive test. Covariate-adjusted odds ratios between sotrovimab treatment and the severe outcome was conducted using logistic regression. Results: There were 22,289 individuals meeting the treatment criteria for sotrovimab. There were 1603 treated and 6299 untreated individuals included in the analysis. The outcome occurrence in the study was 5.49% (treated) and 4.21% (untreated), with a median time from diagnosis to treatment of 1.00 days (interquartile range 2.00 days). In the propensity-matched cohort, sotrovimab was not associated with lower odds of a severe outcome (odds ratio 1.20, 95% confidence interval 0.91-1.58), adjusting for confounding variables. Conclusions: After adjusting for confounding variables, sotrovimab treatment was not associated with lower odds of a severe outcome within 30-days of COVID-19–positive date.

ABSTRACT: Precision livestock farming technologies, such as automatic milk feeding machines, have increased the availability of on-farm data collected from dairy operations. We analyzed feeding records from automatic milk feeding machines to evaluate the genetic background of milk feeding traits and bovine respiratory disease (BRD) in North American Holstein calves. Data from 10,076 preweaning female Holstein calves were collected daily over a period of 6 yr (3 yr included per-visit data), and daily milk consumption (DMC), per-visit milk consumption (PVMC), daily sum of drinking duration (DSDD), drinking duration per-visit, daily number of rewarded visits (DNRV), and total number of visits per day were recorded over a 60-d preweaning period. Additional traits were derived from these variables, including total consumption and duration variance (TCV and TDV), feeding interval, drinking speed (DS), and preweaning stayability. A single BRD-related trait was evaluated, which was the number of times a calf was treated for BRD (NTT). The NTT was determined by counting the number of BRD incidences before 60 d of age. All traits were analyzed using single-step genomic BLUP mixed-model equations and fitting either repeatability or random regression models in the BLUPF90+ suite of programs. A total of 10,076 calves with phenotypic records and genotypic information for 57,019 SNP after the quality control were included in the analyses. Feeding traits had low heritability estimates based on repeatability models (0.006 ± 0.0009 to 0.08 ± 0.004). However, total variance traits using an animal model had greater heritabilities of 0.21 ± 0.023 and 0.23 ± 0.024, for TCV and TDV, respectively. The heritability estimates increased with the repeatability model when using only the first 32 d preweaning (e.g., PVMC = 0.040 ± 0.003, DMC = 0.090 ± 0.009, DSDD = 0.100 ± 0.005, DS = 0.150 ± 0.007, DNRV = 0.020 ± 0.002). When fitting random regression models (RRM) using the full dataset (60-d period), greater heritability estimates were obtained (e.g., PVMC = 0.070 [range: 0.020, 0.110], DMC = 0.460 [range: 0.050, 0.680], DSDD = 0.180 [range: 0.010, 0.340], DS = 0.19 [range: 0.070, 0.430], DNRV = 0.120 [range: 0.030, 0.450]) for the majority of the traits, suggesting that RRM capture more genetic variability than the repeatability model with better fit being found for RRM. Moderate negative genetic correlations of −0.59 between DMC and NTT were observed, suggesting that automatic milk feeding machines records have the potential to be used for genetically improving disease resilience in Holstein calves. The results from this study provide key insights of the genetic background of early in-life traits in dairy cattle, which can be used for selecting animals with improved health outcomes and performance.

Objectives: Pharmacists often advise patients on the use of over-the counter (OTC) medications. Such a class of medications that is growing in popularity is homeopathic products. Little is known about student pharmacists are being educated about homeopathy. The objectives of this study were to describe homeopathic topics being taught in pharmacy schools and to evaluate faculty views about pharmacists’ roles in counseling patients about homeopathic products. Method: A mixed method design collected information about teaching homeopathy in US pharmacy schools. Online surveys were distributed to 3,300 pharmacy practice faculty members representing all schools accredited in the US. Frequencies were calculated to describe faculty characteristics and their responses. Moreover, 18 interviews of faculty involved with teaching homeopathy were conducted to learn about homeopathy teaching and expectations about roles of pharmacists in counseling patients. Results: Survey data were collected from 365 respondents, with 51.2% of the respondents teaching in public universities, 49.6% having PGY1 training and 35.8% being associate professors. Over half (84 of 137) of the responding schools of pharmacy reported teaching homeopathy to pharmacy students. In addition, most interviewed faculty emphasized that pharmacists should be knowledgeable and able to counsel patients effectively on homeopathic products. Conclusion: Over half of schools of pharmacy are teaching students about homeopathy topics. Further, there was support for pharmacists being able to counsel effectively about homeopathic products.

Abstract The brain derived‐neurotrophic factor (BDNF) Val66Met polymorphism causes functional changes in BDNF, and is associated with obesity and some psychiatric disorders, but its relationship to health‐related quality of life (HRQoL) remains unknown. This study examined, in youth with obesity, whether carriers of the BDNF Val66met polymorphism Met‐alleles (A/A or G/A) differed from noncarriers (G/G) on HRQoL. The participants were 187 adolescents with obesity. Ninety‐nine youth were carriers of the homozygous Val/Val (G/G) alleles, and 88 were carriers of the Val/Met (G/A) or Met/Met (A/A) alleles. Blood samples were drawn in the morning after an overnight fast for genotyping. HRQoL was measured using the Pediatric‐Quality of Life core version. Compared to carriers of the Val66Met Val (G/G) alleles, carriers of the Met‐Alleles reported significantly higher physical –HRQoL (p = 0.02), school‐related HRQoL, (p = 0.05), social‐related HRQoL (p = 0.05), and total HRQoL (p = 0.03), and a trend for Psychosocial‐HRQoL. Research is needed to confirm our findings and determine whether carriers of the BDNF Val66Met homozygous Val (G/G) alleles may be at risk of diminished HRQoL, information that can influence interventions in a high‐risk population of inactive youth with obesity.

BackgroundVaccine hesitancy is a significant threat to public health. Healthcare providers (HCPs) can address hesitancy during routine patient conversations; however, few multidisciplinary education tools exist for HCPs to learn to engage in vaccine discussion especially considering new vaccine technologies such as mRNA vaccines. The objectives of this study were to explore HCP learners’ experiences with COVID-19 vaccine communication, and qualitatively evaluate an online learning module composed of virtual simulation games (VSGs) which utilize the PrOTCT Framework for HCP vaccine communication.MethodsThree virtual focus groups were conducted from December 2022 to January 2023 with Canadian healthcare learners in nursing (N = 6), pharmacy (N = 9), and medicine (N = 7) who participated in a larger study measuring the effectiveness of the VSGs. Using a pragmatic approach, a qualitative thematic analysis was conducted using NVivo to identify themes and subthemes.ResultsA total of 22 HCP learners participated in this study and three key themes were identified. Across all three disciplines, participants expressed that (1) their prior education lacked training on how to hold vaccine conversations, resulting in uncomfortable personal experiences with patients; (2) the VSGs increased their confidence in holding vaccine conversations by providing novel tools and skills; and (3) participants also provided feedback to improve the VSGs which was implemented and supported the dissemination to all HCP professions.ConclusionAlthough HCPs are a trusted source of vaccine information, participants in this study felt they received little training on how to engage in challenging conversations regarding COVID-19 vaccines. The introduction of the PrOTCT Framework and presumptive statements provided novel strategies for HCP to initiate vaccine conversations, especially considering new vaccine technologies and participants appreciated the emphasis on coping strategies and resilience. It is essential that HCP are provided both opportunities to practice managing these conversations, and tools and skills to succeed at an early point in their careers to prepare them for future roles in vaccine advocacy, delivery, and promotion.

Multicultural education improves educators' understanding of the complexities of different cultures and the inherent intersectionality of race, gender, class, and exceptionality to liberate students from oppressive structures within society. The purpose of this study is to illuminate the perceptions of educational leadership graduate students regarding multicultural education and transformative leadership through the lens of critical pedagogy. During this qualitative case study, the researchers used course materials, including discussion and responses, book reviews, and presentations, to answer these research questions: What factors drove the graduate students to want to seek out further experiences for them or their students with multicultural education? What did the participants perceive as potential barriers to influencing educational reform? In what ways did the perceptions of the graduate students regarding multicultural education change over the course of a semester? Three themes emerged from the analysis, the illusion of inclusivity, cultural awareness, and the disconnection between theory and practice. This research could impact current and potential future educational leaders and provides information that would benefit school districts, teachers, and students.

Abstract Background Although healthcare providers (HCPs) are the most trusted source of vaccine information, there is a paucity of easily accessible, multidisciplinary educational tools on vaccine communication for them. Virtual simulation games (VSGs) are innovative yet accessible and effective tools in healthcare education. The objectives of our study were to develop VSGs to increase HCP confidence and self-efficacy in vaccine communication, advocacy, and promotion, and evaluate the VSGs’ effectiveness using a pre-post self-assessment pilot study. Methods A multidisciplinary team of experts in medicine, nursing, pharmacy, and simulation development created three VSGs for HCP learners focused on addressing conversations with vaccine hesitant individuals. We evaluated the VSGs with 24 nursing students, 30 pharmacy students, and 18 medical residents who completed surveys and 6-point Likert scale pre-post self-assessments to measure changes in their confidence and self-efficacy. Results There were no significant differences in baseline confidence and self-efficacy across the three HCP disciplines, despite varied levels of education. Post-VSG confidence and self-efficacy (median: 5) were significantly higher than pre-VSG (median: 4–5) for all three HCP disciplines (P ≤ 0.0005), highlighting the effectiveness of the VSGs. Medical residents reported significantly lower post-VSG confidence and self-efficacy than nursing and pharmacy learners despite completing the most significant amount of education. Conclusions Following the completion of the VSGs, learners in medicine, nursing, and pharmacy showed significant improvement in their self-assessed confidence and self-efficacy in holding vaccine conversations. The VSGs as an educational tool, in combination with existing clinical immunization training, can be used to increase HCP confidence and engagement in vaccine discussions with patients, which may ultimately lead to increased vaccine confidence among patients.

This article reports on the development of key components required for a self-powered oscillator unit designed to wirelessly transmit its signal under full insertion in high-temperature (HT) harsh-environments (HE), such as those present in power plants and industrial settings (metallurgic, oil extraction, molding, and aerospace). The oscillator employed a silicon carbide power transistor and HT passive components on a screen-printed alumina circuit board capable of operation beyond 300 °C. The HT oscillator circuit was powered solely by in-situ energy-scavenging thermoelectric generator (TEG) modules using passive cooling, eliminating the need for an external power supply or active cooling. In addition, a silicon-based external booster circuit was used to achieve the required TEG voltage regulation to test the TEG-powered HT oscillator circuit. The TEG-powered oscillator circuit was tested inside a nonmetallic furnace from room temperature to over 300 °C for transmission of a wireless signal, which was detected outside the furnace at 11 ft (3.4 m). Such a wireless transmitting system powered only by in-situ TEGs, with no requirement for external power or active cooling, is very attractive for flexible, mobile standalone control and sensor units targeted for operation in HT HE conditions found in power plants and industrial settings.