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Disparities in mental health care access and use are a serious public health concern for racial and ethnic minority (REM) youth populations across the United States (US). Numerous evidence-based interventions (EBIs) have been developed to address youth mental health concerns; however, evidence suggests that EBIs may require cultural adaptations to have greater efficacy with REM populations. The following study engaged in a systematic review of the existing culturally-adapted EBIs for REM youth in the US. A three-stage systematic review was performed. A total of 52 studies describing the development or evaluation of culturally-adapted EBIs with REM youth populations were included. Information from studies was then abstracted via a rigorous coding process. Specifically, participant characteristics (e.g., age, population risk, race/ethnicity of target audience), intervention characteristics (e.g., name of the original program, target mental health outcome(s), delivery setting, intervention format, intervention orientation, interventionist), and cultural adaptation characteristics (e.g., guiding theory, individuals involved, cultural adaptation content, participatory methods used) were cataloged. Implications for current and future research regarding cultural adaptation of EBIs are presented. Highlights Comprehensive systematic review of culturally-adapted interventions for racial and ethnic minority youth in the US. Inclusion of studies with youth, as well as parents/caregivers as intervention participants. Coded content or type of cultural adaptations incorporated in psychological interventions. Reported extent of engagement in participatory-based approaches in culturally-adapted intervention studies. Findings underscore need to increase reporting on the content of and process by which cultural adaptations are made to interventions for youth.

Over the past 60 years, the immigrant population in the United States (U.S.; i.e., those born outside of the U.S.) has grown significantly. Included in this group are newcomer immigrant adolescents (NIA), who immigrated to the U.S. within the past 5 years. Upon arrival in the U.S., NIA experience a multitude of unique systemic and psychosocial stressors and protective factors, placing them at risk for negative social emotional and academic outcomes. Despite this, culturally-informed, evidence-based interventions addressing the needs of NIA are limited due to the widespread underrepresentation of this marginalized group in research, underscoring a need to understand and conduct research with NIA. Despite multiple calls and efforts to improve representation of minoritized populations, including NIA, in research, researchers have noted challenges in recruiting NIA. Literature on barriers to participation, motivation to research participation, and strategies to navigate barriers to participation exist but have yet to be explored with NIA. This is despite research underscoring the need to consider research participants’ culture and developmental level when developing informed strategies to improve recruitment efforts. Thus, the current study qualitatively explored the barriers to participation in research among NIA, examined their motivations to participate in research, and elicited recommendations from NIA and relevant stakeholders (i.e., community partners who work in NIA serving organizations) on how to increase their research participation. Twenty-six semi-structured interviews were conducted with NIA from Latin America (n = 3), South Asia (n = 1), Southeast Asia (n = 7), and West Africa (n = 3) and community partners who serve NIA (n = 12). Implications for stakeholders, researchers, and health equity are discussed.

Neurons contribute to the complex interplay of signals that mediate heart development and homeostasis. Although a limited set of studies suggest that neuronal peptides impact vertebrate heart growth, the specific contributions of these peptides to cardiomyocyte progenitor differentiation or proliferation have not been elucidated. Here, we show that the neuropeptide tachykinin along with canonical Wnt signaling regulate cardiomyocyte progenitor proliferation in the chordate model Ciona robusta . In C. robusta , the heart continues to grow throughout adulthood and classic histological studies indicate that a line of undifferentiated cells may serve as a reserve progenitor lineage. We found that this line of cardiomyocyte progenitors consists of distinct distal and midline populations. Our analysis indicates that distal progenitors divide asymmetrically to produce distal and midline daughters while midline progenitors divide asymmetrically to produce myocardial precursors. Through single-cell RNA sequencing (scRNA-seq) of adult C. robusta hearts, we delineated the cardiomyocyte progenitor expression profile. Based on this data, we investigated the role of Wnt signaling in cardiomyocyte progenitor proliferation and found that canonical Wnt signaling is required to suppress excessive progenitor proliferation. The scRNA-seq data also identified a number of presumptive cardiac neural-like cells. Strikingly, we found that a subset of these neuronal cells appears to innervate the distal cardiomyocyte progenitors. Based on tachykinin receptor expression in these neural-like cells, we blocked tachykinin signaling using pharmacological inhibitors and found that this led to reduced proliferation in the distal progenitor pool. Through targeted CRISPR-Cas9 knockdown, we then demonstrated that both extrinsic tachykinin and intrinsic cardiac tachykinin receptors are required for formation of the myocardial heart tube. This work provides valuable insights regarding the deployment of neural signals to regulate organ growth in response to environmental or homeostatic inputs.

Neurons contribute to the complex interplay of signals that mediate heart development and homeostasis. Although a limited set of studies suggest that neuronal peptides impact vertebrate heart growth, the specific contributions of these peptides to cardiomyocyte progenitor differentiation or proliferation have not been elucidated. Here we show that the neuropeptide tachykinin along with canonical Wnt signaling regulate cardiomyocyte progenitor proliferation in the chordate model . In , the heart continues to grow throughout adulthood and classic histological studies indicate that a line of undifferentiated cells may serve as a reserve progenitor lineage. We found that this line of cardiomyocyte progenitors consists of distinct distal and midline populations. Distal progenitors divide asymmetrically to produce distal and midline daughters. Midline progenitors divide asymmetrically to produce myocardial precursors. Through single cell RNA sequencing (scRNA-seq) of adult hearts, we delineated the cardiomyocyte progenitor expression profile. Based on this data we investigated the role of Wnt signaling in cardiomyocyte progenitor proliferation and found that canonical Wnt signaling is required to suppress excessive progenitor proliferation. The scRNA-seq data also identified a number of presumptive cardiac neural-like cells. Strikingly, we found that a subset of these neuronal cells appears to innervate the distal cardiomyocyte progenitors. Based on the expression of the tachykinin receptor in these neuronal cells, we blocked tachykinin signaling using pharmacological inhibitors and found that this drove reduced proliferation in the distal progenitor pool. Through targeted CRISPR-Cas9 knockdown we then demonstrated that both extrinsic tachykinin and intrinsic, cardiac tachykinin receptors are required for formation of the myocardial heart tube. This work provides valuable insights into how organisms may deploy neural signals to regulate organ growth in response to environmental or homeostatic inputs.

Studies of whole viral populations--the \"virome\"--are yielding exciting new insights into biological systems, but methods are still being optimized. Here we describe generation and use of a synthetic viral community to assess several technical challenges important in virome analysis. Our mock community was comprised of phages lambda, T4, M13, MS2, and phi6, together with adeno-associated virus (AAV), murine hepatitis virus (MHV), and vaccinia virus (VV). We spiked the mock community into different human sample types, including stool, saliva, oropharyngeal (OP) wash, and bronchoalveolar lavage (BAL), then passed the samples through different virus enrichment protocols and analyzed by Illumina sequencing. Compared to direct metagenomic sequencing, VLP enrichment protocols greatly increased viral read yields from virus-rich samples such as from stool and saliva. Three VLP enrichment work flows were compared, and each was found to have strengths and weaknesses. Four methods for DNA amplification were compared, with three showing over-amplification of small circular ssDNA viruses, most notably GenomiPhi. Studies of viral particle stability in the presence of nuclease showed that most viral genomes were stable when protected in viral particles, but phage MS2 RNA was unexpectedly labile under some of the conditions tested. Comparison of Illumina 1000-cycle sequencing versus 300-cycle sequencing showed that longer reads supported generation of longer viral genome assemblies. Bacteriophage DNA can be modified by at least 12 different chemistries, raising the question of whether these modifications might block recovery in virome analytical protocols. We tested bacteriophage T4 DNA modified with glucosyl-hydroxymethylcytosine (ghmC) and hydroxymethylcytosine (hmC), and found that both were readily detected, though the recovery of ghmC-modified DNA was reduced. These studies together with published data help provide guidance for virome researchers optimizing analytical protocols.

Hepatitis C virus (HCV) infection is associated with substantial clinical and economic burden and is an important public health issue in Asia. The objective of this review was to characterize HCV epidemiology and related complications in China, Japan, South Korea and Taiwan. A search of electronic databases and conference abstracts identified 71 potentially relevant articles. Of those, 55 were included in the epidemiology review and 9 in the review of HCV-related complications. HCV prevalence in the general population was 1.6 % in China, 0.6–0.9 % in Japan, 0.6–1.1 % in South Korea and 1.8–5.5 % in Taiwan. Prevalence was higher for injecting drug users (48–90 %) and those with human immunodeficiency virus coinfection (32–85 %) and was lower for blood donors (<1 %). Annual incidence of HCV in China was 6.01 per 100,000. HCV genotype 1b was associated with the highest incidence of hepatocellular carcinoma (HCC). Five-year survival for patients with liver cirrhosis was 73.8 %, decreasing to 39.2 % following liver transplantation; the majority of deaths were attributable to HCC. Limitations were that the majority of studies included in the epidemiology review were small, regional studies conducted in specific populations, and there was an absence of large population-based studies. Thus, estimates may not be representative of the epidemiology of HCV for each country. The prevalence HCV in China and HCV incidence in the Asian region remain largely unknown, and they are likely underestimated. Further epidemiologic and clinical data are needed to provide more precise estimates for use by public health agencies.

Abstract Background Current recommendations for school-aged children’s physical activity include at least one hour of moderate to vigorous intensity physical activity per day. Schools play an essential role in providing access to physical activity, through both structured and unstructured activity such as physical education and recess. North American data has shown that due to restrictions placed on in-person schooling, children were not meeting recommended levels of physical activity during the first wave of the COVID-19 pandemic. Objectives The objective of this study was to understand the effect schooling models have on access to physical activity and subsequent reported changes in mental and physical health. Design/Methods An online survey was distributed to parents of school-aged children aged 4-13 in Ontario. The survey included questions regarding demographics, children’s physical activity prior to and during the first wave of the COVID-19 pandemic, and parental perceptions regarding the pandemic’s impact on mental and physical health. This study received ethics approval, was hosted on the REDCapTM platform, and distributed from February-June 2021 through a local school board, the Pediatrics section of the Ontario Medical Association, and through social media. Results A total of 361 survey participants responded. Although there was a statistically significant decrease in the overall mean number of hours of physical activity per week from prior to the COVID-19 pandemic and the first wave of the COVID-19 pandemic (mean difference = 9.34 hours, SD = 10.06, p<0.001), there was no significant difference in hours of physical activity when comparing in-person and virtual school models (p=0.892 pre-COVID-19 pandemic and p=0.146 during the first wave of the COVID-19 pandemic). There was no significant difference in parent-reported impact of either physical (p=0.724) or mental (p=0.822) health between those that were enrolled in virtual or in-person school models, and no significant difference between school model and restarting activities (p=0.078). Conclusion This survey highlights not only that parents identified a significant decrease in children’s physical activity during the pandemic but also that there was no correlation between school model and physical activity. This may be due to several organized physical activities not being re-started despite schools reopening, thus contributing to similar outcomes for children in both school models. Future research may include exploring why virtual and in-person models demonstrated no significant difference in physical activity and to conduct a qualitative analysis on methods used by parents to engage children in activity.

Abstract Background School-aged children are recommended to complete at least one hour of moderate to vigorous intensity physical activity per day. North American data has shown that due to COVID-19 restrictions placed on in person schooling and extracurricular activities, children were not meeting recommended levels of physical activity. Additional barriers to activity during the first wave of the COVID-19 pandemic included lack of access to public facilities including community centers, parks, and outdoor recreation. Decreased physical activity in children has been shown to have a negative impact on both physical and mental health, and childhood development. However, there is a paucity of literature on parents’ perceptions of the association between physical activity and physical and mental health. Objectives The objective of this study was to gain a better understanding of the implications of the COVID-19 pandemic on levels of physical activity and parents’ perceptions surrounding physical activity and physical and mental health. Design/Methods An online survey was distributed to parents of school-aged children aged 4-13 in Ontario. The survey included questions regarding demographics, children’s physical activity prior to and during the first wave of the COVID-19 pandemic, and parental perceptions regarding the pandemic’s impact on mental and physical health. This study received ethics approval, was hosted on the REDCapTM platform, and distributed from February-June 2021 through a local school board, the Pediatrics section of the Ontario Medical Association, and through social media. Results Of 361 participants, 90.4% strongly agreed that physical activity was important for mental health, and 92.2% strongly agreed that physical activity was important for physical health. There was a statistically significant decrease in the overall mean number of hours of physical activity per week between pre-COVID and the first wave of COVID (mean difference = 9.34 hours, SD = 10.06, p<0.001). Additionally, parents of children with decreased physical activity reported a statistically significant negative impact on physical and mental health as compared to parents whose children had no change in amount of physical activity. Decreased energy, poor sleep, increased anxiety, mood disturbances, and disruptive behaviour were noted by over 50% of respondents. Conclusion This survey highlights that parents themselves perceived a significant negative impact on children’s mental and physical well-being with decreased physical activity during the COVID-19 pandemic. This emphasizes the importance of retaining access to recreational facilities and extracurricular activities. Future research includes identifying ways to re-engage parents and children with physical activity during times of decreased access.

Natural language generation (NLG) benchmarks provide an important avenue to measure progress and develop better NLG systems. Unfortunately, the lack of publicly available NLG benchmarks for low-resource languages poses a challenging barrier for building NLG systems that work well for languages with limited amounts of data. Here we introduce IndoNLG, the first benchmark to measure natural language generation (NLG) progress in three low-resource -- yet widely spoken -- languages of Indonesia: Indonesian, Javanese, and Sundanese. Altogether, these languages are spoken by more than 100 million native speakers, and hence constitute an important use case of NLG systems today. Concretely, IndoNLG covers six tasks: summarization, question answering, chit-chat, and three different pairs of machine translation (MT) tasks. We collate a clean pretraining corpus of Indonesian, Sundanese, and Javanese datasets, Indo4B-Plus, which is used to pretrain our models: IndoBART and IndoGPT. We show that IndoBART and IndoGPT achieve competitive performance on all tasks -- despite using only one-fifth the parameters of a larger multilingual model, mBART-LARGE (Liu et al., 2020). This finding emphasizes the importance of pretraining on closely related, local languages to achieve more efficient learning and faster inference for very low-resource languages like Javanese and Sundanese.

Although Indonesian is known to be the fourth most frequently used language over the internet, the research progress on this language in the natural language processing (NLP) is slow-moving due to a lack of available resources. In response, we introduce the first-ever vast resource for the training, evaluating, and benchmarking on Indonesian natural language understanding (IndoNLU) tasks. IndoNLU includes twelve tasks, ranging from single sentence classification to pair-sentences sequence labeling with different levels of complexity. The datasets for the tasks lie in different domains and styles to ensure task diversity. We also provide a set of Indonesian pre-trained models (IndoBERT) trained from a large and clean Indonesian dataset Indo4B collected from publicly available sources such as social media texts, blogs, news, and websites. We release baseline models for all twelve tasks, as well as the framework for benchmark evaluation, and thus it enables everyone to benchmark their system performances.