Adaptive mesh refinement (AMR) criteria comparison for the DrivAer model.

Aerodynamics is one of the main areas of development in vehicle design. One of the most efficient ways of testing the aerodynamic design of a vehicle is to use Computational Fluid Dynamics (CFD), which allows for faster and more accurate aerodynamic simulations, which in turn helps increase the fuel economy and electric vehicle's range. Resource optimization is one of the most important aspects of CFD, and one of its main aspects is the spatial discretization of the fluid domain. This study discusses the use of Adaptive Mesh Refinement (AMR) for the aerodynamic design of private vehicles. This paper compares the results obtained with the use of AMR based on different fluid dynamic criteria for the DrivAer model and correlates the results with experimental data and computational results provided by various authors in previous publications. Four different optimization functions are defined and compared. The results for the drag coefficient, pressure coefficient, and total pressure wake have been correlated, showing great accuracy. This study has proven that the use of AMR highly optimizes computational resources by optimizing the mesh in the desired areas, thereby reducing the number of cells needed elsewhere. The use of these criteria has proven useful for drag coefficient prediction simulations because these criteria make use of the AMR to optimize the wake region.

A straightforward protocol to sample morphological traits of dragonflies and damselflies in the field.

Scarcity of morphological data limits the potential of functional ecology approaches, which rely on traits to elucidate ecological processes. Dragonflies and damselflies (Odonata) are a frequently used ecological model for which, however, only limited morphological data is available. Here, it is presented a field sampling protocol to collect ecologically relevant yet largely unavailable morphological traits of Odonata. The protocol enables the straightforward collection of traits from living individuals directly in the field. Those traits include body mass, wing area and wing loading as well as thorax width, hindwing length and body length. Furthermore, the protocol allows for posterior wing morphometric analyses. The protocol proved to be robust and universally applicable based on testing on roughly half (76) of all European odonate species. The use of this protocol can increase our understanding of odonatan morphology at interspecific and intraspecific levels and assist in developing mechanistic understanding of their ecology.

Patient Perceptions of Illness Causes and Treatment Preferences for Obsessive-Compulsive Disorder: A Mixed-Methods Study.

Obsessive-compulsive disorder (OCD) is a condition with high patient morbidity and mortality. Research shows that eliciting patient explanations about illness causes and treatment preferences promotes cross-cultural work and engagement in health services. These topics are in the Cultural Formulation Interview (CFI), a semi-structured interview first published in DSM-5 that applies anthropological approaches within mental health services to promote person-centered care. This study focuses on the New York City site of an international multi-site study that used qualitative-quantitative mixed methods to: (1) analyze CFI transcripts with 55 adults with OCD to explore perceived illness causes and treatment preferences, and (2) explore whether past treatment experiences are related to perceptions about causes of current symptoms. The most commonly named causes were circumstantial stressors (n = 16), genetics (n = 12), personal psychological traits (n = 9), an interaction between circumstantial stressors and participants' brains (n = 6), and a non-specific brain problem (n = 6). The most common treatment preferences were psychotherapy (n = 42), anything (n = 4), nothing (n = 4), and medications (n = 2). Those with a prior medication history had twice the odds of reporting a biological cause, though this was not a statistically significant difference. Our findings suggest that providers should ask patients about illness causes and treatment preferences to guide treatment choice.

Anti-PD-L1 Immunotherapy of Chronic Virus Infection Improves Virus Control without Augmenting Tissue Damage by Fibrosis.

Immunotherapy with checkpoint inhibitors, albeit commonly used against tumors, is still at its infancy against chronic virus infections. It relies on the reinvigoration of exhausted T lymphocytes to eliminate virus-infected cells. Since T cell exhaustion is a physiological process to reduce immunopathology, the reinvigoration of these cells might be associated with an augmentation of pathological changes. To test this possibility, we here analyzed in the model system of chronic lymphocytic choriomeningitis virus (LCMV)-infected mice whether treatment with the checkpoint inhibitor anti-PD-L1 antibody would increase CD8 T cell-dependent fibrosis. We show that pre-existing spleen fibrosis did not worsen under conditions that increase CD8 T cell functionality and reduce virus loads suggesting that the CD8 T cell functionality increase remained below its pathogenicity threshold. These promising findings should further encourage immunotherapeutic trials against chronic virus infections.

Multispectral imaging for characterizing autofluorescent tissues.

Selective Plane Illumination Microscopy (SPIM) has become an emerging technology since its first application for 3D in-vivo imaging of the development of a living organism. An extensive number of works have been published, improving both the speed of acquisition and the resolution of the systems. Furthermore, multispectral imaging allows the effective separation of overlapping signals associated with different fluorophores from the spectrum over the whole field-of-view of the analyzed sample. To eliminate the need of using fluorescent dyes, this technique can also be applied to autofluorescence imaging. However, the effective separation of the overlapped spectra in autofluorescence imaging necessitates the use of mathematical tools. In this work, we explore the application of a method based on Principal Component Analysis (PCA) that enables tissue characterization upon spectral autofluorescence data without the use of fluorophores. Thus, enabling the separation of different tissue types in fixed and living samples with no need of staining techniques. Two procedures are described for acquiring spectral data, including a single excitation based method and a multi-excitation scanning approach. In both cases, we demonstrate the effective separation of various tissue types based on their unique autofluorescence spectra.

A Nomogram for Predicting ADHD and ASD in Child and Adolescent Mental Health Services (CAMHS).

Objectives: To enhance the early detection of Attention Deficit/Hyperactivity Disorder (ADHD) and Autism Spectrum Disorder (ASD) by leveraging clinical variables collected at child and adolescent mental health services (CAMHS). Methods: This study included children diagnosed with ADHD and/or ASD (n = 857). Three logistic regression models were developed to predict the presence of ADHD, its subtypes, and ASD. The analysis began with univariate logistic regression, followed by a multicollinearity diagnostic. A backward logistic regression selection strategy was then employed to retain variables with p < 0.05. Ethical approval was obtained from the local ethics committee. The models' internal validity was evaluated based on their calibration and discriminative abilities. Results: The study produced models that are well-calibrated and validated for predicting ADHD (incorporating variables such as physical activity, history of bone fractures, and admissions to pediatric/psychiatric services) and ASD (including disability, gender, special education needs, and Axis V diagnoses, among others). Conclusions: Clinical variables can play a significant role in enhancing the early identification of ADHD and ASD.

Financing for pandemic preparedness and response measures: a systematic scoping review.

Objective: To obtain insights into reducing the shortfall in financing for pandemic preparedness and response measures, and reducing the risk of another pandemic with social and economic costs comparable to those of the coronavirus disease. Methods: We conducted a systematic scoping review using the databases ScienceDirect, Scopus, JSTOR, PubMed® and EconLit. We included articles published in any language until 1 August 2023, and excluded grey literature and publications on epidemics. We categorized eligible studies according to the elements of a framework proposed by the World Health Organization Council on the Economy of Health for All: (i) root/structural causes; (ii) social position/foundations; (iii) infrastructure and systems; and (iv) communities, households and individuals. Findings: Of the 188 initially identified articles, we included 60 in our review. Most (53/60) were published after 2020, when academic interest had shifted towards global financing mechanisms. Most (37/60) addressed two or more of the council framework elements. The most frequently addressed element was infrastructure and systems (54/60), discussing topics such as health systems, financial markets and innovation ecosystems. The roots/structural causes were discussed in 25 articles; communities, households and individuals in 22 articles; and social positions/foundations in 11. Conclusion: Our review identified three important gaps: a formal definition of pandemic preparedness and response, impeding the accurate quantification of the financing shortfall; research on the extent to which financing for pandemic preparedness and response has been targeted at the most vulnerable households; and an analysis of specific financial instruments and an evaluation of the feasibility of their implementation.

Development and testing of a sedation protocol for Neocaridina davidi.

Neocaridina davidi, a small freshwater shrimp native to Asia, specifically China, Japan, Korea, and Vietnam, possesses remarkable resistance to poor water quality and offers various advantages over other invertebrate species to examine crucial issues in neuroscience and other related areas. These advantages include robustness, ease of maintenance, and transparency, making them useful for in vivo studies with optical imaging techniques. Despite its suitability for research purposes, particularly in the fields of imaging and fluorescent techniques, the lack of attention given to this species has resulted in the absence of a robust and replicable sedation protocol for immobilization and safe manipulation. Consequently, researchers face challenges in performing experimental procedures while minimizing harm to this specimen. In this study, we have developed and evaluated a simple sedation protocol specifically designed for Neocaridina davidi, assessing its effectiveness using light microscopy and image processing.

The role of income and emotional engagement in the efficacy of a brief help-seeking video intervention for essential workers.

BACKGROUND: Recently we showed that a brief video-based intervention can improve openness to help-seeking and decrease treatment-related stigma among essential workers, particularly for female and Black individuals viewing demographically matched protagonists. The current randomized controlled trial explored two additional factors which may enhance the efficacy of this intervention: income level, known to be associated with help-seeking, and emotional engagement, which may enhance a person's ability to engage with the intervention. We hypothesized that income level and emotional engagement would correlate with changes in openness to help-seeking ("openness") and stigma. METHODS: Essential workers (N = 1405) randomly viewed a control video or a brief video of an actor portraying an essential worker describing COVID-19-related anxiety and depression and treatment benefits. Openness and stigma were assessed at baseline, post-intervention, and 30-day follow-up, with emotional engagement assessed post-intervention. RESULTS: The brief video intervention demonstrated immediate increases in openness (p < 0.001, Cohen's d = 0.39) and decreases in stigma (p < 0.001, d = 0.14) compared to the control. Reported income level affected neither dependent variable. Participants who scored higher on the emotional engagement scale reported greater change in openness and stigma. LIMITATIONS: Use of a crowdsourcing platform may limit generalizability. CONCLUSIONS: The 3-min video showed modest effect sizes for immediate increased openness and reduced stigma, with greater emotional engagement heightening the effect, suggesting a possible mediator to the intervention. Income level did not affect intervention outcomes. Research should explore the role of income by adding income-related content to the brief-video interventions and assessing whether links to referrals could foster immediate behavioral change. TRIAL REGISTRATION: NCT04964570.

Comparison of abdominal adipose tissue versus body mass index (BMI) as a predictor of complications and survival in liver transplantation.

INTRODUCTION: Because of the obesity epidemic, more obese patients are on liver transplant (LT) waiting lists. The diseases associated with obesity may increase complications and limit survival after LT. However, there is no established measure or cut-off point to determine this impact and aid decision making. The aim of the present study is to evaluate obesity in patients undergoing LT via BMI and CT-based measurement of adipose tissue (AAT). These parameters will be used to predict the risk of postoperative complications and 5-year survival. METHODS: A retrospective, single-center study was carried out at a tertiary Spanish hospital, including all patients who received LT between January 2012 and July 2019 (n = 164). The patients were adults who underwent LT using the 'piggyback' technique, preserving the recipient vena cava. Visceral adipose tissue (VAT) and BMI were calculated to examine correlations with postoperative complications and 5-year survival. RESULTS: No significant association was found between postoperative complications by Comprehensive Complication Index, BMI, AAT/height, subcutaneous fat/height and VAT/height. Kaplan-Meier curves for 5-year survival compared LT recipients with BMI < 30.45 versus ≥30.45, with an estimated survival of 58.97 months versus 43.11 months, respectively (P < .001) (Fig. 3) and for LT recipients with an AAT/height <27.35 mm versus ≥27.35 mm, with an estimated survival of 57.69 months versus 46.34 months (P = .001). CONCLUSIONS: This study does not show a higher rate of postoperative complications in obese patients. There is a significantly lower long-term survival in patients with AAT/height ≥27.35 mm and BMI ≥ 30.45. BMI is a valid estimate of obesity and is predictive of survival.

"It's Tough to Be a Black Man with Schizophrenia": Randomized Controlled Trial of a Brief Video Intervention to Reduce Public Stigma.

BACKGROUND AND HYPOTHESIS: Racial discrimination and public stigma toward Black individuals living with schizophrenia create disparities in treatment-seeking and engagement. Brief, social-contact-based video interventions efficaciously reduce stigma. It remains unclear whether including racial identity experiences in video narrative yields greater stigma reduction. We hypothesized that we would replicate findings showing sustained stigma reduction in video-intervention groups vs control and that Black participants would show greater stigma reduction and emotional engagement than non-Black participants only for a racial-insights video presenting a Black protagonist. STUDY DESIGN: Recruiting using a crowdsourcing platform, we randomized 1351 participants ages 18-30 to (a) brief video-based intervention, (b) racial-insights-focused brief video, or (c) non-intervention control, with baseline, post-intervention, and 30-day follow-up assessments. In 2-minute videos, a young Black protagonist described symptoms, personal struggles, and recovery from schizophrenia, with or without mentioning race-related experiences. STUDY RESULTS: A 3 × 3 ANOVA showed a significant group-by-time interaction for total scores of each of five stigma-related domains: social distance, stereotyping, separateness, social restriction, and perceived recovery (all P < .001). Linear mixed modeling showed a greater reduction in stigma from baseline to post-intervention among Black than non-Black participants in the racial insights video group for the social distance and social restriction domains. CONCLUSIONS: This randomized controlled trial replicated and expanded previous findings, showing the anti-stigma effects of a brief video tailored to race-related experiences. This underscores the importance of personalized, culturally relevant narratives, especially for marginalized groups who, more attuned to prejudice and discrimination, may particularly value identification and solidarity. Future studies should explore mediators/moderators to improve intervention efficacy.

Serological Antibodies against Kidney, Liver, and Spleen Membrane Antigens as Potential Biomarkers in Patients with Immune Disorders.

Immune disorders arise from complex genetic and environmental factors, which lead to dysregulation at the cellular and inflammatory levels and cause tissue damage. Recent research highlights the crucial role of reactive antibodies in autoimmune diseases and graft rejection, but their complex determination poses challenges for clinical use. Therefore, our study aimed to ascertain whether the presence of reactive antibodies against membrane antigens in tissues from both animal models and humans could serve as biomarkers in patients with autoimmune disorders. To address this issue, we examined the binding profile of serological antibodies against a diverse panel of cell membranes from the spleen, liver, and kidney tissues of monkeys, rats, and humans. After developing the cell membrane microarrays, human sera were immunologically assayed. The study was first conducted on sera from two groups, healthy subjects and patients with inflammatory and autoimmune disorders, and then optimized for kidney transplant patient sera. A significant increase in antibody reactivity against specific monkey kidney and spleen membranes was observed in the serum of patients with lupus nephritis, while kidney transplant patients showed a significant enhancement against human tissues and human embryonic kidney 293 cells. These results show the potential importance for clinical and basic research purposes of studying the presence of specific IgG against membrane antigens in patients' serum as potential biomarkers of immune disorders. However, it is important to note that these results need to be verified in further studies with a larger sample size to confirm their relevance.

Social Cognition and Mild Cognitive Impairment in Mid-Stage Parkinson's Disease.

Mild cognitive impairment (MCI) is a relevant non-motor feature in Parkinson's disease (PD). Social cognition (SC) is a cognitive domain that refers to the ability to decode others' intentions and to guide behavior in social contexts. We aimed to compare SC performance in mid-stage PD patients compared to a healthy population and according to their cognitive state. Fifty-two PD patients were classified as being cognitively normal (PD-CN) or having mild cognitive impairment (PD-MCI) following the Movement Disorder Society (MDS) Level II criteria. SC assessment included facial emotion recognition (FER), affective and cognitive theory of mind (ToM), and self-monitoring (RSMS test). Twenty-seven age-matched healthy controls (HC) were enrolled. PD-MCI patients scored worse than HC on affective and cognitive ToM task scores. Only cognitive ToM scores were significantly lower when compared with the PD-MCI and PD-CN groups. We found no differences in FER or self-monitoring performance. There were significant correlations between cognitive ToM and executive functions, memory, language, and attention, whereas FER and affective ToM correlated with memory. Our findings indicates that SC is normal in cognitively unimpaired and non-depressed mid-stage PD patients, whereas a decline in affective and cognitive ToM is linked to the presence of MCI.

Genetic characteristics involved in COVID-19 severity. The CARGENCORS case-control study and meta-analysis.

Pre-existing coronary artery disease (CAD), and thrombotic, inflammatory, or virus infectivity response phenomena have been associated with COVID-19 disease severity. However, the association of candidate single nucleotide variants (SNVs) related to mechanisms of COVID-19 complications has been seldom analysed. Our aim was to test and validate the effect of candidate SNVs on COVID-19 severity. CARGENCORS (CARdiovascular GENetic risk score for Risk Stratification of patients positive for SARS-CoV-2 [COVID-19] virus) is an age- and sex-matched case-control study with 818 COVID-19 cases hospitalized with hypoxemia, and 1636 controls with COVID-19 treated at home. The association between severity and SNVs related to CAD (n = 32), inflammation (n = 19), thrombosis (n = 14), virus infectivity (n = 11), and two published to be related to COVID-19 severity was tested with adjusted logistic regression models. Two external independent cohorts were used for meta-analysis (SCOURGE and UK Biobank). After adjustment for potential confounders, 14 new SNVs were associated with COVID-19 severity in the CARGENCORS Study. These SNVs were related to CAD (n = 10), thrombosis (n = 2), and inflammation (n = 2). We also confirmed eight SNVs previously related to severe COVID-19 and virus infectivity. The meta-analysis showed five SNVs associated with severe COVID-19 in adjusted analyses (rs11385942, rs1561198, rs6632704, rs6629110, and rs12329760). We identified 14 novel SNVs and confirmed eight previously related to COVID-19 severity in the CARGENCORS data. In the meta-analysis, five SNVs were significantly associated to COVID-19 severity, one of them previously related to CAD.

An analysis of osteopathic medical students applying to surgical residencies following transition to a single graduate medical education accreditation system.

CONTEXT: Upon requests from osteopathic medical schools, the National Resident Matching Program (NRMP) Charting Outcomes were redesigned to include osteopathic medical school seniors beginning in 2018 and one joint graduate medical education (GME) accreditation system, the Accreditation Council for Graduate Medical Education (ACGME), formed in 2020. OBJECTIVES: The goal of this study is to analyze the match outcomes and characteristics of osteopathic applicants applying to surgical specialties following the ACGME transition. METHODS: A retrospective analysis of osteopathic senior match outcomes in surgical specialties from the NRMP Main Residency Match data from 2020 to 2022 and the NRMP Charting Outcomes data from 2020 to 2022 was performed. RESULTS: For surgical specialties, results show matching increased as United States Medical Licensing Examination (USMLE) Step 2 CK (clinical knowledge) and Comprehensive Osteopathic Medical Licensing Examination (COMLEX) Level 2 CE (cognitive evaluation) scores increased along with the number of contiguous rankings (p<0.001). The greatest indication for matching looking at scores alone were those who scored greater than 230 on Step 2 CK compared to below (p<0.001) and above 650 on Level 2 CE (p<0.001). However, those who scored 240 (p=0.025) on Step 2 CK were just as likely to match as those who scored 250 (p=0.022) when compared to those who scored below those scores. Increasing research involvement had little to no significance with the likelihood of matching across most surgical subspecialties. CONCLUSIONS: Our study demonstrates that there are unique thresholds for Step 2 CK scores, Level 2 CE scores, and the number of contiguous ranks for each surgical specialty that, when reached, are significantly associated with match success. Although certain board score delineations are linked with higher match success rates, the rates level off after this point for most surgical specialties and do not significantly increase further with higher scores. In addition, thresholds within contiguous ranks for increasing match likelihood exist and vary across surgical specialties. Overall, this study highlights that the quantitative metrics utilized to assess applicants lack the correlation reported historically, and the data presently available need to be more substantiated.

Lipid fingerprint-based histology accurately classifies nevus, primary melanoma, and metastatic melanoma samples.

Probably, the most important factor for the survival of a melanoma patient is early detection and precise diagnosis. Although in most cases these tasks are readily carried out by pathologists and dermatologists, there are still difficult cases in which no consensus among experts is achieved. To deal with such cases, new methodologies are required. Following this motivation, we explore here the use of lipid imaging mass spectrometry as a complementary tool for the aid in the diagnosis. Thus, 53 samples (15 nevus, 24 primary melanomas, and 14 metastasis) were explored with the aid of a mass spectrometer, using negative polarity. The rich lipid fingerprint obtained from the samples allowed us to set up an artificial intelligence-based classification model that achieved 100% of specificity and precision both in training and validation data sets. A deeper analysis of the image data shows that the technique reports important information on the tumor microenvironment that may give invaluable insights in the prognosis of the lesion, with the correct interpretation.

Depression as a Risk Factor for Dementia: A Meta-Analysis.

Dementia is a syndrome characterized by the deterioration of cognitive function beyond what is expected. The increased risk of developing this syndrome resulting from established modifiable risk factors, such as depressive episodes, is currently a subject of interest. The aim of this study was to review the scientific evidence that addresses the relationship between depression and dementia. A bibliographic search of the PubMed and PsycInfo databases for articles published over the past 20 years was conducted with the following medical subject heading terms: depression or depressive, dementia, and incidence or cohort studies. After articles meeting the inclusion criteria were selected, relevant moderating variables were grouped as sample characteristics, methodological characteristics, extrinsic characteristics, and outcome variables. The 26 selected studies resulted in a sample comprising 1,760,262 individuals. Statistical analysis revealed a pooled relative risk for the development of dementia of 1.82 (95% CI=1.62-2.06). The primary variables evaluated were the diagnostic methods for depression and dementia and the presence of depression. Other variables, such as mean age, methodological quality of each study, follow-up time, and publication year, were also evaluated. Age was statistically but not clinically significant. No relevant publication bias or alterations in the results were found when accounting for the quality of the studies. It is recommended that new moderating variables be evaluated or that existing variables be reformulated in future studies.

Life is precious: A quasi-experimental study of a community-based program to prevent suicide among Latina adolescents in New York City.

INTRODUCTION: Rising rates of suicidal thoughts and behaviors (STBs) among U.S. Latina adolescents urgently need attention. Life is Precious (LIP) is a culturally responsive, community-based, afterschool-model program offering wellness-support services to supplement outpatient mental health treatment for Latina adolescents experiencing STB's. This 12-month quasi-experimental pilot study explored LIP's impact on clinical outcomes. METHODS: Latina adolescents newly enrolled in LIP and receiving outpatient treatment (n = 31) and those newly starting outpatient treatment only (n = 12; Usual Care) were assessed for Suicidal Ideation (Suicidal Ideation Questionnaire; SIQ) and depressive symptoms (Patient Health Questionnaire-9). We estimated differences in mean scores using longitudinal linear mixed models and adjusted risk ratios (ARRs) of SIQ-25%, SIQ-50%, and PHQ-9-5-point improvements using exact logistic models. RESULTS: The direction of the estimated impact of LIP was positive [differences (95% CIs): -15.5 (-34.16, 3.15) for SIQ; -1.16 (-4.39, 2.07) for PHQ-9], with small-to-moderate nonsignificant effect sizes (0.19-0.34). LIP participants saw two to three times higher prevalence than controls of SIQ-25%, SIQ-50%, and PHQ-9-5-point improvements; ARRs (95% CIs) were 1.91 (0.61, 3.45), 3.04 (0.43, 11.33), and 1.97 (0.44, 5.07), respectively. Suicidal behaviors also decreased in LIP. CONCLUSION: The effects of LIP were in positive directions across clinical outcomes, warranting further research on its effectiveness in decreasing STBs.

CNN-based flow field prediction for bus aerodynamics analysis.

The aim of this article is to evaluate the ability of a convolutional neural network (CNN) to predict velocity and pressure aerodynamic fields in heavy vehicles. For training and testing the developed CNN, various CFD simulations of three different vehicle geometries have been conducted, considering the RANS-based k-ω SST turbulent model. Two geometries correspond to the SC7 and SC5 coach models of the bus manufacturer SUNSUNDEGUI and the third one corresponds to Ahmed body. By generating different variants of these three geometries, a large number of representations of the velocity and pressure fields are obtained that will be used to train, verify, and evaluate the convolutional neural network. To improve the accuracy of the CNN, the field representations obtained are discretized as a function of the expected velocity gradient, so that in the areas where there is a greater variation in velocity, the corresponding neuron is smaller. The results show good agreement between numerical results and CNN predictions, being the CNN able to accurately represent the velocity and pressure fields with very low errors. Additionally, a substantial improvement in the computational time needed for each simulation is appreciated, reducing it by four orders of magnitude.