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Hypertensive disorders of pregnancy (HDP) are the most common medical conditions in pregnancy and a leading cause of maternal morbidity and mortality in the United States. There are few interventions available to prevent HDP, and those currently available do not target underlying mechanisms of disease. Mindfulness training (MT) is effective at reducing blood pressure in non-pregnant patients with pre-hypertension and hypertension and has proven more effective at blood pressure reduction than other stress management interventions. MT thus holds great promise as a mind-body intervention to prevent HDP. This randomized trial will harness subjective and objective ecological momentary assessment methodology combined with wearable biosensor technology to capture psychological, physiological, and interpersonal processes through which MT may lead to improved maternal cardiovascular parameters. Pregnant women at risk for HDP will be randomized to an 8-week phone-delivered MT intervention or usual care. Through these methods, we will evaluate psychological, physiological, and interpersonal responses to daily experiences linking MT to cardiovascular parameters among women at risk for HDP.

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Importance: Disasters experienced by an entire community provide opportunities to understand individual differences in risk for adverse health outcomes over time. DNA methylation (DNAm) differences may help to distinguish individuals at increased risk following large-scale disasters. Objective: To examine the association of epigenetic age acceleration with probable posttraumatic stress disorder (PTSD) and PTSD symptom severity in women. Design, Setting, and Participants: This prospective cohort study examined data from participants in the Women and Their Children's Health cohort, who were characterized longitudinally following the Deepwater Horizon oil spill (DHOS) in 2010 and through numerous hurricanes in the Gulf Coast region of the US. Wave 1 occurred August 6, 2012, through June 26, 2014, and wave 2 occurred September 2, 2014, through May 27, 2016. Data were analyzed between August 18 and November 4, 2023. Address-based sampling was used to recruit women aged 18 to 80 years and residing in 1 of the 7 Louisiana parishes surrounding the DHOS-affected region. Recruitment consisted of 2-stage sampling that (1) undersampled the 2 more urban parishes to maximize probability of participant oil exposure and (2) proportionally recruited participants across census tracts in the 5 other parishes closest to the spill. Exposure: Posttraumatic stress subsequent to the DHOS. Main Outcome and Measures: Epigenetic age acceleration was measured by DNAm assayed from survey wave 1 blood samples. Posttraumatic stress disorder was assessed using the PTSD Checklist for DSM-5 at survey wave 2, and lifetime trauma exposure was assessed using the Life Events Checklist for DSM-5. General linear models were used to examine the association between wave 1 DNAm age and wave 2 probable PTSD diagnosis and symptom severity. Results: A total of 864 women (mean [SD] age, 47.1 [12.0] years; 328 Black [38.0%], 19 American Indian [2.2%], 486 White [56.3%], and 30 of other racial groups, including uknown or unreported [3.5%]) were included. Black and American Indian participants had a higher age acceleration at wave 1 compared with White participants (ß = 1.64 [95% CI, 1.02-2.45] and 2.34 [95% CI, 0.33-4.34], respectively), and they had higher PTSD symptom severity at wave 2 (ß = 7.10 [95% CI, 4.62-9.58] and 13.08 [95% CI, 4.97-21.18], respectively). Epigenetic age acceleration at wave 1 was associated with PTSD symptom severity at wave 2 after adjusting for race, smoking, body mass index, and household income (ß = 0.38; 95% CI, 0.11-0.65). Conclusions and Relevance: In this cohort study, epigenetic age acceleration was higher in minoritized racial groups and associated with future PTSD diagnosis and severity. These findings support the need for psychoeducation about traumatic responses to increase the likelihood that treatment is sought before years of distress and entrenchment of symptoms and comorbidities occur.

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Background: Incorporating genomic data into risk prediction has become an increasingly useful approach for rapid identification of individuals most at risk for complex disorders such as PTSD. Our goal was to develop and validate Methylation Risk Scores (MRS) using machine learning to distinguish individuals who have PTSD from those who do not. Methods: Elastic Net was used to develop three risk score models using a discovery dataset (n = 1226; 314 cases, 912 controls) comprised of 5 diverse cohorts with available blood-derived DNA methylation (DNAm) measured on the Illumina Epic BeadChip. The first risk score, exposure and methylation risk score (eMRS) used cumulative and childhood trauma exposure and DNAm variables; the second, methylation-only risk score (MoRS) was based solely on DNAm data; the third, methylation-only risk scores with adjusted exposure variables (MoRSAE) utilized DNAm data adjusted for the two exposure variables. The potential of these risk scores to predict future PTSD based on pre-deployment data was also assessed. External validation of risk scores was conducted in four independent cohorts. Results: The eMRS model showed the highest accuracy (92%), precision (91%), recall (87%), and f1-score (89%) in classifying PTSD using 3730 features. While still highly accurate, the MoRS (accuracy = 89%) using 3728 features and MoRSAE (accuracy = 84%) using 4150 features showed a decline in classification power. eMRS significantly predicted PTSD in one of the four independent cohorts, the BEAR cohort (beta = 0.6839, p-0.003), but not in the remaining three cohorts. Pre-deployment risk scores from all models (eMRS, beta = 1.92; MoRS, beta = 1.99 and MoRSAE, beta = 1.77) displayed a significant (p < 0.001) predictive power for post-deployment PTSD. Conclusion: Results, especially those from the eMRS, reinforce earlier findings that methylation and trauma are interconnected and can be leveraged to increase the correct classification of those with vs. without PTSD. Moreover, our models can potentially be a valuable tool in predicting the future risk of developing PTSD. As more data become available, including additional molecular, environmental, and psychosocial factors in these scores may enhance their accuracy in predicting the condition and, relatedly, improve their performance in independent cohorts.

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African refugee women resettled in the United States are exposed to multiple risk factors for poor mental health. Currently, no comprehensive framework exists on which to guide mental health interventions specific to this population. Through a community-based participatory research partnership, we interviewed N = 15 resettled African refugees living in Rhode Island. Here we (1) describe how meanings of mental health within the African refugee community vary from US understandings of PTSD, depression, and anxiety and (2) generate a framework revealing how mental health among participants results from interactions between social support, African sociocultural norms, and US norms and systems. Multiple barriers and facilitators of mental wellbeing lie at the intersections of these three primary concepts. We recommend that public health and medicine leverage the strength of existing community networks and organisations to address the heavy burden of poor mental health among resettled African refugee women.

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OBJECTIVE: Non-suicidal self-injury (NSSI) is a significant mental health concern with the highest prevalence among adolescents. NSSI has been conceptualized as one of the maladaptive strategies to cope with challenging affect or a form of self-punishment. Although characterizing moment-to-moment associations between shame and NSSI in individuals' real-world environment and partitioning between- and within-person effects is critical for mobile and timely interventions, most studies examined habitual experiences of negative affective states and focused on adults. METHOD: In this study, we focused on in vivo anger at self and others and shame and NSSI among 158 adolescents 3 weeks following their psychiatric hospitalizations using ecological momentary assessment (EMA) technology. RESULTS: We found that greater between-person levels of anger at self and others were linked to a higher number of subsequent NSSI occurrences within a day. These findings remained primarily unchanged when we statistically adjusted for participants' age, sex assigned at birth, the number of current psychiatric diagnoses, EMA response rates, and youth lifetime history of SI. Within-person increases in NSSI were linked to increased anger at self over and beyond between-person average levels of NSSI. CONCLUSIONS: These findings highlight the potential regulatory role of NSSI to decrease negative affective states and point to the clinical utility of assessing and early mobile interventions targeting challenging affect in youth.

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BACKGROUND: The recent growth of eHealth is unprecedented, especially after the COVID-19 pandemic. Within eHealth, wearable technology is increasingly being adopted because it can offer the remote monitoring of chronic and acute conditions in daily life environments. Wearable technology may be used to monitor and track key indicators of physical and psychological stress in daily life settings, providing helpful information for clinicians. One of the key challenges is to present extensive wearable data to clinicians in an easily interpretable manner to make informed decisions. OBJECTIVE: The purpose of this research was to design a wearable data dashboard, named CarePortal, to present analytic visualizations of wearable data that are meaningful to clinicians. The study was divided into 2 main research objectives: to understand the needs of clinicians regarding wearable data interpretation and visualization and to develop a system architecture for a web application to visualize wearable data and related analytics. METHODS: We used a wearable data set collected from 116 adolescent participants who experienced trauma. For 2 weeks, participants wore a Microsoft Band that logged physiological sensor data such as heart rate (HR). A total of 834 days of HR data were collected. To design the CarePortal dashboard, we used a participatory design approach that interacted directly with clinicians (stakeholders) with backgrounds in clinical psychology and neuropsychology. A total of 8 clinicians were recruited from the Rhode Island Hospital and the University of Massachusetts Memorial Health. The study involved 5 stages of participatory workshops and began with an understanding of the needs of clinicians. A User Experience Questionnaire was used at the end of the study to quantitatively evaluate user experience. Physiological metrics such as daily and hourly maximum, minimum, average, and SD of HR and HR variability, along with HR-based activity levels, were identified. This study investigated various data visualization graphing methods for wearable data, including radar charts, stacked bar plots, scatter plots combined with line plots, simple bar plots, and box plots. RESULTS: We created a CarePortal dashboard after understanding the clinicians' needs. Results from our workshops indicate that overall clinicians preferred aggregate information such as daily HR instead of continuous HR and want to see trends in wearable sensor data over a period (eg, days). In the User Experience Questionnaire, a score of 1.4 was received, which indicated that CarePortal was exciting to use (question 5), and a similar score was received, indicating that CarePortal was the leading edge (question 8). On average, clinicians reported that CarePortal was supportive and can be useful in making informed decisions. CONCLUSIONS: We concluded that the CarePortal dashboard integrated with wearable sensor data visualization techniques would be an acceptable tool for clinicians to use in the future.

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Ambient audio sampling methods such as the Electronically Activated Recorder (EAR) have become increasingly prominent in clinical and social sciences research. These methods record snippets of naturalistically assessed audio from participants' daily lives, enabling novel observational research about the daily social interactions, identities, environments, behaviors, and speech of populations of interest. In practice, these scientific opportunities are equaled by methodological challenges: researchers' own cultural backgrounds and identities can easily and unknowingly permeate the collection, coding, analysis, and interpretation of social data from daily life. Ambient audio sampling poses unique and significant challenges to cultural humility, diversity, equity, and inclusivity (DEI) in scientific research that require systematized attention. Motivated by this observation, an international consortium of 21 researchers who have used ambient audio sampling methodologies created a workgroup with the aim of improving upon existing published guidelines. We pooled formally and informally documented challenges pertaining to DEI in ambient audio sampling from our collective experience on 40+ studies (most of which used the EAR app) in clinical and healthy populations ranging from children to older adults. This article presents our resultant recommendations and argues for the incorporation of community-engaged research methods in observational ambulatory assessment designs looking forward. We provide concrete recommendations across each stage typical of an ambient audio sampling study (recruiting and enrolling participants, developing coding systems, training coders, handling multi-linguistic participants, data analysis and interpretation, and dissemination of results) as well as guiding questions that can be used to adapt these recommendations to project-specific constraints and needs.

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Ambulatory assessment methods have made it possible to study psychological phenomena in real-time, with translational potential for psychotherapy process research. This article uses case example data to demonstrate applications of ambulatory assessment to measuring emotion regulation, a process with relevance across diagnoses and treatment modalities that may be particularly important to measure in situ. Two methods are reviewed: Ecological Momentary Assessment (EMA), which enables self-reported momentary assessments as people go about their days, and the Electronically Activated Recorder (EAR), an unobtrusive naturalistic observation methodology that collects short audio recordings from participants' moment-to-moment environments, capturing an acoustic diary of their social interactions, daily behaviors, and natural daily language use. Using case example data from research applying EMA and EAR methods in the context of adolescent self-injurious thoughts and behaviors, we illustrate how EMA can be used to measure emotion regulation over time and across contexts, and how EAR can assess the behaviors and social-environmental factors that interact with emotion regulation in clinically important ways. We suggest applications of this measurement approach for investigations of clients' emotional change over the course of psychotherapy, as well as potential clinical applications of these methods.

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Evidence suggests that child maltreatment is a risk factor for adolescent suicidal behavior. However, the differential influence of distinct forms of child maltreatment on adolescent suicide attempts is understudied and the factors that might exacerbate or ameliorate these associations warrant attention. We examined the associations between two distinct forms of child maltreatment (threat and deprivation) and suicide attempt history, and investigated whether executive function domains moderated these associations. Participants were 119 adolescents (M = 15.24, SD = 1.46, 72.3% female) recruited from an inpatient psychiatric hospital during hospitalization for suicidal thoughts and behaviors. Results indicated that the executive function domains of initiation, shifting, and planning/organization moderated the associations between threat and suicide attempt history. Associations between threat and suicide attempt history were significant only when initiation and shifting T-scores were lower (OR = 1.22, p = .03 and OR = 1.32, p = .01, respectively). The association between threat and suicide attempt history trended toward significance when planning/organization T-scores were lower (OR = 1.15, p = .10). None of the executive function domains moderated the link between deprivation and suicide attempt history. Findings highlight the need for research investigating whether initiation, shifting, and planning/organization might be amendable to intervention in the context of threat-related child maltreatment.

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OBJECTIVE: Affect regulation is central to multiple theoretical models that explain cannabis use (CU) behavior. However, much of the research has been conducted with adults, leaving unanswered questions about the nature of associations among adolescents, especially those with affective disorders. Using clinical interviews and ecological momentary assessment (EMA), we assessed rates of adolescent CU and momentary associations with affect following psychiatric discharge among youth hospitalized for suicidal thoughts and behaviors. METHOD: Participants were 13- to 18-year-olds (N = 62; 64.5% female) recruited from an inpatient psychiatric hospital who reported having ever used cannabis. Participants completed clinical interviews during hospitalization. EMA was conducted for 21 days upon discharge. RESULTS: Concurrent use of other drugs was associated with greater odds of CU (odds ratio = 27.63). Momentary CU was associated with higher levels of positive affect and lower levels of anger/irritability, but not with negative affect. The effect of momentary CU on positive affect was greater among youth with a diagnosis of posttraumatic stress disorder (PTSD) or generalized anxiety disorder (GAD). CONCLUSIONS: Findings suggest that adolescents may use cannabis to enhance positive emotion, especially those with PTSD/GAD. Results highlight the importance of tailored interventions that focus on providing alternative and adaptive methods to enhance positive affect.

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The purpose of this manuscript is to provide an overview of, and rationale for, the increasing adoption of a wide range of cutting-edge technological methods in assessment and intervention which are relevant for treatment. First, we review traditional approaches to measuring and monitoring affect, behavior, and cognition in behavior and cognitive-behavioral therapy. Second, we describe evolving active and passive technology-enabled approaches to behavior assessment including emerging applications of digital phenotyping facilitated through fitness trackers, smartwatches, and social media. Third, we describe ways that these emerging technologies may be used for intervention, focusing on novel applications for the use of technology in intervention efforts. Importantly, though some of the methods and approaches we describe here warrant future testing, many aspects of technology can already be easily incorporated within an established treatment framework.

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Posttraumatic stress disorder (PTSD) affects 1 in 20 reproductive-aged women and is associated with cardiovascular disease morbidity and mortality. The pathophysiology linking PTSD to cardiovascular disease in nonpregnant adults is proposed to include hypothalamic and autonomic dysregulation; however, the pathways explaining this association in pregnancy are unclear. We examined diurnal cortisol and ambulatory blood pressure (BP) among 254 pregnant women at approximately 12 and 32 gestational weeks. Participants were, on average, 31 years old (SD = 5), 24.4% reported their ethnicity as Hispanic, and 62.2% reported their race as White. PTSD symptoms were measured using the PTSD Checklist for DSM-5 (PCL-5). Hierarchical linear regression analyses were performed to examine associations pregnancy between PTSD and cortisol at awakening, 30 min after awakening, and bedtime in early and late pregnancy, as well as associations between PTSD symptoms and daytime and nighttime systolic (SBP) and diastolic BP (DBP) and BP variability. Logistic regression analyses were conducted to test associations between PTSD symptoms and BP dipping. The results showed a positive association between PTSD symptoms and nighttime BP and BP variability at 32 gestational weeks, ∆R2 = .036-.067. PTSD symptoms were negatively associated with awakening cortisol at 12 gestational weeks in unadjusted models. These findings contribute to understanding the associations between PTSD and adverse cardiovascular conditions in pregnancy. More research is needed to replicate these findings and examine whether PTSD interventions are effective at modifying pathways and decreasing the risk for cardiovascular complications in pregnancy.

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OBJECTIVES: The present research examines genomics and in vivo dynamics of family context and experienced affect following discharge from psychiatric hospitalisation for suicidal thoughts and behaviours (STBs). The purpose of this paper is to provide an overview of a new model, description of model-guided integration of multiple methods, documentation of feasibility of recruitment and retention and a description of baseline sample characteristics. DESIGN: The research involved a longitudinal, multimethod observational investigation. SETTING: Participants were recruited from an inpatient child and adolescent psychiatric hospital. 194 participants ages 13-18 were recruited following hospitalisation for STB. PRIMARY AND SECONDARY OUTCOME MEASURES: Participants underwent a battery of clinical interviews, self-report assessments and venipuncture. On discharge, participants were provided with a phone with (1) the electronically activated recorder (EAR), permitting acoustic capture later coded for social context, and (2) ecological momentary assessment, permitting assessment of in vivo experienced affect and STB. Participants agreed to follow-ups at 3 weeks and 6 months. RESULTS: A total of 71.1% of approached patients consented to participation. Participants reported diversity in gender identity (11.6% reported transgender or other gender identity) and sexual orientation (47.6% reported heterosexual or straight sexual orientation). Clinical interviews supported a range of diagnoses with the largest proportion of participants meeting criteria for major depressive disorder (76.9%). History of trauma/maltreatment was prevalent. Enrolment rates and participant characteristics were similar to other observational studies. CONCLUSIONS: The research protocol characterises in vivo, real-world experienced affect and observed family context as associated with STB in adolescents during the high-risk weeks post discharge, merging multiple fields of study.

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The present study conducted thematic analyses of tweets including #WhyIDidntReport (N = 500) to examine barriers to reporting sexual victimization. Barriers to reporting were identified across individual, interpersonal, and sociocultural levels of the social ecology. Common barriers to reporting included labeling of the experience, age, fear, privacy concerns, self-blame, betrayal/shock, the relation/power of the perpetrator, negative reactions to disclosure, and the belief-or personal experience-that reporting would not result in justice and societal norms.

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The current study sought to characterize commentary regarding intimate partner violence during the COVID-19 (SARS-CoV-2) pandemic via the Twitter hashtags #DomesticAbuse and #DomesticViolence. A sample of 481 original, English-language tweets containing the hashtag #DomesticAbuse or #DomesticViolence posted across five consecutive weekdays from March 22 to March 27, 2020-during which many places were enacting lockdown mandates-was examined using thematic content analyses. Overall, Twitter users commented on potential increased rates of IPV, while adding details about abuse tactics that could be employed by perpetrators during the pandemic. Additionally, Twitter users disclosed personal experiences of IPV victimization. Four themes were identified, including (1) type of domestic violence (i.e. whether the violence was COVID-specific or general domestic violence), (2) commentary about IPV (i.e. general reflections, decentralizing and centralizing survivorhood), (3) perpetrator tactic (i.e. abuse tactic used by the perpetrator), and (4) institutions responsible (i.e. institutions responsible for providing services to survivors). Overall, the commentary on Twitter reflected an effort to raise awareness and share informational aid for potential victims/survivors of IPV. Data highlight the potential of social media networks in conveniently facilitating the sharing and spreading of useful resources to other users. Future research should examine whether resources shared via Twitter reach individuals who need them and empower individuals to garner support.

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Background: There is worldwide consensus that providing secondary prevention to promote resilience and prevent mental health concerns after a disaster is important. However, data supporting this kind of intervention is largely lacking. The current study evaluates the effectiveness of OperationSAFE, an early intervention for children after community-wide trauma. Methods: Secondary data analyses of data collected during 158 OperationSAFE camps (a five day camp with a curriculum focused on coping with stressors) in five countries and ten disasters between 2015 and 2020 were performed. Data on child trauma-related functioning/well-being were collected by an OperationSAFE in-house developed symptom checklist and completed by counselors about children on the first and last day of the 5-day camp. Results: A total of 16,768 children participated in the camps (mean age 9.4 ± 2.36; 50% male). Trauma-related functioning/well-being improved from day 1 to day 5 (b = 8.44 ± 0.04; p < 0.0001). Older children improved more (b = 0.22 ± 0.01; p < 0.0001). Children in man-made ongoing trauma (war/refugees) situations responded stronger than those after natural disasters (b = 2.24 ± 0.05; p < 0.0001). Negligible effects for gender and the number of days between a traumatic event and the start of camp were found. Conclusions: This is the first study to show in a large and diverse sample that secondary prevention to promote resilience and prevent mental health concerns after a disaster for children is associated with improvements in trauma-related functioning/well-being. Delaying delivery of the intervention did not affect outcomes. Given the uncontrolled nature of the study and lack of long-term outcomes, more studies are needed to corroborate the current findings.

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Social media integration into research has increased, and 92% of American social media participants state they would share their data with researchers. Yet, the potential of these data to transform health outcomes has not been fully realized, and the way clinical research is performed has been held back. The use of these technologies in research is dependent on the investigators' awareness of their potential and their ability to innovate within regulatory and institutional guidelines. The Brown-Lifespan Center for Digital Health has launched an initiative to address these challenges and provide a helpful framework to expand social media use in clinical research.

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INTRODUCTION: Among adolescents, an increasing rate of interpersonal interactions occurs online. Previous research has shown that interpersonal context exerts a robust impact on suicidal thoughts or behaviors, yet little attention has focused on examining the content of online interactions surrounding self-injurious thoughts or behaviors. As such, the present study sought to compare online social networking behaviors among adolescents on days with and without experiencing self-injurious thoughts or behaviors, as influenced by childhood maltreatment history. METHOD: Adolescents aged 13-18 hospitalized for self-injurious thoughts or behaviors were recruited as part of an ongoing longitudinal study. A subsample (N = 22) of adolescents provided data from their online social networking platforms (i.e., text messages, Facebook, Instagram, and Twitter). Using a mixed-methods approach, online social networking data on days of experiencing self-injurious thoughts or behaviors and days of not experiencing self-injurious thoughts or behaviors were compared. RESULTS: Results indicate the frequency and content of online social networking messaging do not change by day of self-injurious thoughts or behaviors or history of childhood maltreatment. However, childhood maltreatment predicts received conflictual messages as well as sent symptomatic messages on days of experiencing self-injurious thoughts or behaviors. CONCLUSIONS: Childhood maltreatment may play a role in the content of adolescent online behaviors, particularly on days when they experience self-injurious thoughts or behaviors. Implications for intervention are discussed.

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BACKGROUND: Exposure to armed conflict and fleeing country of origin for refugees has been associated with poorer psychological health. METHODS: Within the first month following their arrival in the United States, 152 Syrian and Iraqi refugees were screened in a primary care setting for posttraumatic stress disorder (PTSD), anxiety, and depression and rated their perceived health, and perceived level of adversity of violence, armed conflict/flight. The moderating effects of psychiatric symptoms on the relation between perceived adversity and perceived health were assessed. RESULTS: Three models based on diagnosis (PTSD, anxiety, and depression) were tested. While significant effects were found on perceived adversity negatively influencing perceived health across diagnoses, slightly different patterns emerged based on diagnosis. DISCUSSION: Findings suggest that refugees' perception regarding adversity of violence, armed conflict, and flight may contribute to perceived health, with a moderating role of clinically significant symptoms of PTSD, anxiety, and depression.

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ABSTRACT: Clinically significant new or worsening pain (CSNWP) is a common, yet often overlooked, sequelae of sexual assault. Little is known regarding factors influencing the development of CSNWP in sexual assault survivors. The current study used data from a recently completed prospective study to evaluate whether posttraumatic alterations in arousal and reactivity in the early aftermath of sexual assault influence the transition from acute to clinically significant new or worsening persistent pain. Women ≥ 18 years of age (n = 706) presenting for emergency care after sexual assault to 13 emergency care sites were enrolled in the study. Women completed assessments at the time of presentation as well as at 1 week (n = 706, 100%) and 6 weeks (n = 630, 91%). Nearly 70% of women reported CSNWP at the time of emergency care (n = 475, 69%), which persisted to 6 weeks in approximately 2 in 5 survivors (n = 248, 41%). A structural equation model adjusted for age, race, past trauma exposure, and preassault pain levels suggested that posttraumatic alterations in arousal/reactivity symptoms 1 week after assault partially mediated the transition from acute to persistent CSNWP. A significant portion (41%) of women sexual assault survivors develop CSNWP 6 weeks postassault. Posttraumatic arousal/reactivity symptoms in the early aftermath of assault contribute to CSNWP development; such symptoms are potential targets for secondary preventive interventions to reduce chronic postassault pain.

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