Assessing the global prevalence of wild birds in trade.

Trade represents a significant threat to many wild species and is often clandestine and poorly monitored. Information on which species are most prevalent in trade and potentially threatened by it therefore remains fragmentary. We used 7 global data sets on birds in trade to identify species or groups of species at particular risk and assessed the extent to which they were congruent in terms of the species recorded in trade. We used the frequency with which species were recorded in the data sets as the basis for a trade prevalence score that was applied to all bird species globally. Literature searches and questionnaire surveys were used to develop a list of species known to be heavily traded to validate the trade prevalence score. The score was modeled to identify significant predictors of trade. Although the data sets sampled different parts of the broad trade spectrum, congruence among them was statistically strong in all comparisons. Furthermore, the frequency with which species were recorded within data sets was positively correlated with their occurrence across data sets, indicating that the trade prevalence score captured information on trade volume. The trade prevalence score discriminated well between species identified from semi-independent assessments as heavily or unsustainably traded and all other species. Globally, 45.1% of all bird species and 36.7% of globally threatened bird species had trade prevalence scores ≥1. Species listed in Appendices I or II of CITES, species with large geographical distributions, and nonpasserines tended to have high trade prevalence scores. Speciose orders with high mean trade prevalence scores included Falconiformes, Psittaciformes, Accipitriformes, Anseriformes, Bucerotiformes, and Strigiformes. Despite their low mean prevalence score, Passeriformes accounted for the highest overall number of traded species of any order but had low representation in CITES appendices. Geographical hotspots where large numbers of traded species co-occur differed among passerines (Southeast Asia and Eurasia) and nonpasserines (central South America, sub-Saharan Africa, and India). This first attempt to quantify and map the relative prevalence in trade of all bird species globally can be used to identify species and groups of species that may be at particular risk of harm from trade and can inform conservation and policy interventions to reduce its adverse impacts.

Análisis de la prevalencia mundial de aves silvestres en el mercado Resumen El mercado representa una amenaza importante para muchas especies silvestres y a menudo es clandestino y mal vigilado. Por ello, la información sobre las especies más presentes en el mercado y bajo amenaza potencial todavía está fragmentada. Utilizamos siete conjuntos de datos mundiales sobre aves comercializadas para identificar especies o grupos de especies bajo riesgo especial y evaluamos hasta qué punto eran congruentes en cuanto a las especies registradas en el comercio. Utilizamos la frecuencia con la que las especies se registraban en los conjuntos de datos como base para una puntuación de prevalencia del comercio que se aplicó a todas las especies de aves a nivel mundial. Para validar la puntuación de prevalencia del comercio, realizamos búsquedas bibliográficas y cuestionarios para elaborar una lista de especies que se sabe son objeto de comercio intenso. Modelamos la puntuación para identificar los predictores significativos del mercado. Aunque los conjuntos de datos muestrearon partes distintas del amplio espectro del mercado, la congruencia entre ellos fue estadísticamente robusta en todas las comparaciones. Además, la frecuencia con la que se registraron las especies dentro de los conjuntos de datos se correlacionó positivamente con su presencia en todos los conjuntos de datos, lo que indica que la puntuación de prevalencia del mercado captó información sobre el volumen de este. La puntuación de prevalencia del mercado distinguió entre las especies identificadas a partir de evaluaciones semiindependientes como objeto de comercio intenso o insostenible y todas las demás especies. A nivel mundial, el 45.1% de todas las especies de aves y el 36.7% de las especies de aves amenazadas mundialmente tenían puntuaciones de prevalencia del mercado ≥1. Las especies incluidas en los Apéndices I o II de CITES, las especies con una amplia distribución geográfica y los no paseriformes tendieron a tener puntuaciones elevadas de prevalencia del mercado. Los órdenes de especies con puntuaciones medias de prevalencia del mercado elevadas fueron Falconiformes, Psittaciformes, Accipitriformes, Anseriformes, Bucerotiformes y Strigiformes. A pesar de su baja puntuación media de prevalencia, los Passeriformes representaron el mayor número total de especies comercializadas de todos los órdenes, pero tuvieron una baja representación en los apéndices de CITES. Los puntos calientes geográficos en los que coexisten un gran número de especies comercializadas difieren entre los paseriformes (Sudeste Asiático y Eurasia) y los no paseriformes (centro de Sudamérica, África subsahariana e India). Este primer intento de cuantificar y cartografiar la prevalencia relativa en el comercio de todas las especies de aves a escala mundial puede utilizarse para identificar especies y grupos de especies que pueden correr un riesgo especial de sufrir daños a causa del comercio y puede servir de base para intervenciones políticas y de conservación destinadas a reducir sus efectos adversos.

Rapid differentiation of MOGAD and MS after a single optic neuritis.

BACKGROUND: Optic neuritis (ON) is a common manifestation of multiple sclerosis (MS) and myelin-oligodendrocyte-glycoprotein IgG-associated disease (MOGAD). This study evaluated the applicability of optical coherence tomography (OCT) for differentiating between both diseases in two independent cohorts. METHODS: One hundred sixty two patients from seven sites underwent standard OCT and high-contrast visual acuity (HCVA) testing at least 6 months after first ON. Of these, 100 patients (32 MOGAD, 68 MS) comprised the primary investigational cohort, while 62 patients (31 MOGAD, 31 MS) formed a validation cohort. A composite score distinguishing between MOGAD and MS was developed using multivariate logistic regression. RESULTS: Bilateral simultaneous ON occurred more frequently in MOGAD compared to MS (46.9 vs. 11.8%, p < 0.001). OCT revealed more peripapillary retinal nerve fiber layer (pRNFL) atrophy in all segments in MOGAD compared to predominantly temporal pRNFL atrophy in MS (p < 0.001). HCVA was better preserved in MS (p = 0.007). pRNFL thickness in all except for temporal segments was suitable for differentiating MOGAD and MS. Simultaneous bilateral ON and critical atrophy in nasal (< 58.5 µm) and temporal superior (< 105.5 µm) segments were included into the composite score as three independent predictors for MOGAD. The composite score distinguished MOGAD from MS with 75% sensitivity and 90% specificity in the investigational cohort, and 68% sensitivity and 87% specificity in the validation cohort. CONCLUSION: Following a single ON-episode, MOGAD exhibits more pronounced global pRNFL atrophy and lower visual acuity after ON compared to MS. The introduced OCT-based composite score enabled differentiation between the two entities across both cohorts.

Current State, Needs, and Opportunities for Wearable Robots in Military Medical Rehabilitation and Force Protection.

Despite advances in wearable robots across various fields, there is no consensus definition or design framework for the application of this technology in rehabilitation or musculoskeletal (MSK) injury prevention. This paper aims to define wearable robots and explore their applications and challenges for military rehabilitation and force protection for MSK injury prevention. We conducted a modified Delphi method, including a steering group and 14 panelists with 10+ years of expertise in wearable robots. Panelists presented current wearable robots currently in use or in development for rehabilitation or assistance use in the military workforce and healthcare. The steering group and panelists met to obtain a consensus on the wearable robot definition applicable for rehabilitation or primary injury prevention. Panelists unanimously agreed that wearable robots can be grouped into three main applications, as follows: (1) primary and secondary MSK injury prevention, (2) enhancement of military activities and tasks, and (3) rehabilitation and reintegration. Each application was presented within the context of its target population and state-of-the-art technology currently in use or under development. Capturing expert opinions, this study defines wearable robots for military rehabilitation and MSK injury prevention, identifies health outcomes and assessment tools, and outlines design requirements for future advancements.

Does Knee Arthroplasty Have a Beneficial Effect on Return to Work in Patients with Knee Osteoarthritis who Receive Long-Term Disability Benefits in the Netherlands?

PURPOSE: Optimal timing of knee arthroplasty (KA) is complex: operating at a younger age increases life time risk of revision, while delay results in an increased risk of job loss. This study evaluates whether disability benefits recipients due to knee osteoarthritis have an increased odds of returning to work (RTW) following KA. METHODS: A retrospective cohort study was performed among long-term disability benefits recipients due to knee osteoarthritis using data of the Dutch Employee Insurance Agency. Logistic regression assessed whether recipients with KA had a higher odds of RTW in 10 years following start of disability benefits, compared to those without KA. RESULTS: A total of 159 participants were included. During 10-year follow up, 42% had received KA and 37% had returned to work. No association was observed between KA and RTW (OR 1.39, 95% CI 0.62-3.12). Prognostic factors for RTW were being the main breadwinner (OR 7.93, 95% CI 2.95-21.32) and classification as 100% work disability (OR 0.20, 95% CI 0.09-0.45). CONCLUSIONS: KA has no beneficial effect on RTW among patients with knee osteoarthritis granted long-term disability in the Netherlands. For RTW, KA is probably best performed within the two years of paid sick leave before long-term disability is assessed in the Netherlands.

Pervasive heteroplasmy in an invasive ambrosia beetle (Scolytinae) in southern California.

Heteroplasmy, the presence of multiple mitochondrial genotypes (mitotypes) within an individual, has long been thought to be a rare aberrance that is quickly removed by selection or drift. However, heteroplasmy is being reported in natural populations of eukaryotes with increasing frequency, in part due to improved diagnostic methods. Here, we report a seemingly stable heteroplasmic state in California populations of the polyphagous shothole borer (PSHB), Euwallacea fornicatus; an invasive ambrosia beetle that is causing significant tree dieback. We develop and validate a qPCR assay utilizing locked nucleic acid probes to detect different mitotypes, and qualitatively assess heteroplasmy in individual PSHB. We prove the utility of this assay by: (1) mitotyping field-collected PSHB, documenting the prevalence of heteroplasmy across its range in California; and, (2) measuring relative titers of each mitotype across multiple generations of heteroplasmic laboratory colonies to assess the stability of transmission through the maternal germline. We show that our findings are unlikely to be explained by the existence of NUMTs by next generation sequencing of contiguous sections of mitochondrial DNA, where each of the observed heteroplasmic sites are found within fully functional coding regions of mtDNA. Subsequently, we find heteroplasmic individuals are common in Californian field populations, and that heteroplasmy persists for at least 10 generations in experimental colonies. We also looked for evidence of the common occurrence of paternal leakage, but found none. In light of our results, we discuss competing hypotheses as to how heteroplasmy may have arisen, and continues to perpetuate, in Californian PSHB populations.

Biochemical and biophysical approaches to characterization of the aromatic amino acid hydroxylases.

The aromatic amino acid hydroxylases phenylalanine hydroxylase, tyrosine hydroxylase, and tryptophan hydroxylase utilize a non-heme iron to catalyze the hydroxylation of the aromatic rings of their amino acid substrates, with a tetrahydropterin serving as the source of the electrons necessary for the monooxygenation reaction. These enzymes have been subjected to a variety of biochemical and biophysical approaches, resulting in a detailed understanding of their structures and mechanism. We summarize here the experimental approaches that have led to this understanding.

Associations between 6-minute walk distance and physiologic measures and clinical outcomes in myositis-associated interstitial lung disease.

OBJECTIVE: The 6-min walk test (6MWT) is a simple test widely used to assess sub-maximal exercise capacity in chronic respiratory diseases. We explored the relationship of 6-min walk distance (6MWD) with measurements of physiological, clinical, radiographic measures in patients with myositis-associated interstitial lung disease (MA-ILD). METHOD: We analyzed data from the Abatacept in Myositis Associated Interstitial lung disease (Attack My-ILD) study, a 48-week multicentre randomized trial of patients with anti-synthetase antibodies and active MA-ILD. 6MWD, forced vital capacity (FVC), diffusing capacity (DLCO), high resolution CT, and various physician/patient reported outcome measures were obtained during the trial. Spearman's correlations and repeated-measures analysis with linear mixed-effects models were used to estimate the associations between 6MWD and various physiologic, clinical and radiographic parameters both cross-sectionally and longitudinally. RESULTS: Twenty participants with a median age of 57, 55% male and 85% white were analyzed. Baseline 6MWD did not associate with baseline PFTs. Repeated-measures analysis showed 6MWD over time associated with FVC over time, but not with DLCO. 6MWD over time also correlated with UCSD dyspnea score, Borg scores, as well as global disease activity and muscle strength over time. Emotional role functioning, vitality, general health and physical functioning scores by short form 36 also correlated with 6MWD over time. CONCLUSIONS: : Exploratory work in a small cohort of MA-ILD demonstrated 6MWD over time associated with parallel changes in FVC and patient reported outcomes of dyspnea, but not with DLCO. Larger studies are needed to validate the reliability, responsiveness and utility of the 6MWT in MA-ILD. CLINICAL TRIAL REGISTRATION: ClinicalTrials.gov, NCT03215927.

Microbiological quality and native lactic acid bacteria diversity of artisanal Mexican cheeses: A review.

This review aims to provide an overview of artisanal Mexican cheeses microbiota focused on microbiological quality and safety, as well as native Lactic acid Bacteria (LAB) diversity. For the search, key words of artisanal Mexican cheeses varieties was carried out through several online databases and original articles were screened and data about populations of indicator microorganisms, presence of pathogens, and native LAB identified were extracted. Several artisanal Mexican cheeses exceeded the permissible limit established in Mexican regulation (NOM-243-SSA1-2010) for indicator microorganisms, as well as in some types of cheese, the presence of pathogens was confirmed. However, other varieties of artisanal Mexican cheeses possess unique physicochemical characteristics, and during their manufacturing particular steps are used that contribute to ensuring their quality and safety. Additionally, strains able to control the growth of pathogenic and spoilage bacteria are part of the microbiota of some artisanal Mexican cheeses. About native LAB diversity, it is composed by species of Lactobacillus, Enterococcus, Streptococcus, Leuconostoc, Weisella, Lactococcus, Pediococus, Aerococus, Carnobacterium, Tetragenococus, among others genera. Otherwise, artisanal Mexican cheeses represent an important source of specific LAB with several approaches within human health because they showed potential for the development of functional foods, nutraceutical, and bioprotective cultures.

Targeted inhibition of BET proteins in HPV16-positive head and neck squamous cell carcinoma reveals heterogeneous transcriptional responses.

Human papillomaviruses (HPV), most commonly HPV16, are associated with a subset of head and neck squamous cell carcinoma (HNSCC) tumors, primarily oropharyngeal carcinomas, with integration of viral genomes into host chromosomes associated with worse survival outcomes. We analyzed TCGA data and found that HPV+ HNSCC expressed higher transcript levels of the bromodomain and extra terminal domain (BET) family of transcriptional coregulators. The role of BET protein-mediated transcription of viral-cellular genes in the viral-HNSCC genomes needs to be better understood. Using a combination of TAME-Seq, qRT-PCR, and immunoblot analyses, we show that BET inhibition downregulates E6 and E7 significantly, with heterogeneity in the downregulation of viral transcription across different HPV+ HNSCC cell lines. Chemical BET inhibition was phenocopied with the knockdown of BRD4, mirroring the downregulation of viral E6 and E7 expression. We found that BET inhibition directly downregulated c-Myc and E2F expression and induced CDKN1A (p21) expression, leading to a G1-cell cycle arrest with apoptotic activity. Overall, our studies demonstrate that BET inhibition regulates both E6 and E7 viral and key cellular cell cycle regulator E2F gene expression and cellular gene expression in HPV-associated HNSCC and highlight the potential of BET inhibitors as a therapeutic strategy for this disease while also underscoring the importance of considering the heterogeneity in cellular responses to BET inhibition.

Localized estimation of event-related neural source activity from simultaneous MEG-EEG with a recurrent neural network.

Estimating intracranial current sources underlying the electromagnetic signals observed from extracranial sensors is a perennial challenge in non-invasive neuroimaging. Established solutions to this inverse problem treat time samples independently without considering the temporal dynamics of event-related brain processes. This paper describes current source estimation from simultaneously recorded magneto- and electro-encephalography (MEEG) using a recurrent neural network (RNN) that learns sequential relationships from neural data. The RNN was trained in two phases: (1) pre-training and (2) transfer learning with L1 regularization applied to the source estimation layer. Performance of using scaled labels derived from MEEG, magnetoencephalography (MEG), or electroencephalography (EEG) were compared, as were results from volumetric source space with free dipole orientation and surface source space with fixed dipole orientation. Exact low-resolution electromagnetic tomography (eLORETA) and mixed-norm L1/L2 (MxNE) source estimation methods were also applied to these data for comparison with the RNN method. The RNN approach outperformed other methods in terms of output signal-to-noise ratio, correlation and mean-squared error metrics evaluated against reference event-related field (ERF) and event-related potential (ERP) waveforms. Using MEEG labels with fixed-orientation surface sources produced the most consistent estimates. To estimate sources of ERF and ERP waveforms, the RNN generates temporal dynamics within its internal computational units, driven by sequential structure in neural data used as training labels. It thus provides a data-driven model of computational transformations from psychophysiological events into corresponding event-related neural signals, which is unique among MEEG source reconstruction solutions.

Increased Susceptibility of WHIM Mice to Papillomavirus-induced Disease is Dependent upon Immune Cell Dysfunction.

Warts, Hypogammaglobulinemia, Infections, and Myelokathexis (WHIM) syndrome is a rare primary immunodeficiency disease in humans caused by a gain of function in CXCR4, mostly due to inherited heterozygous mutations in CXCR4. One major clinical symptom of WHIM patients is their high susceptibility to human papillomavirus (HPV) induced disease, such as warts. Persistent high risk HPV infections cause 5% of all human cancers, including cervical, anogenital, head and neck and some skin cancers. WHIM mice bearing the same mutation identified in WHIM patients were created to study the underlying causes for the symptoms manifest in patients suffering from the WHIM syndrome. Using murine papillomavirus (MmuPV1) as an infection model in mice for HPV-induced disease, we demonstrate that WHIM mice are more susceptible to MmuPV1-induced warts (papillomas) compared to wild type mice. Namely, the incidence of papillomas is higher in WHIM mice compared to wild type mice when mice are exposed to low doses of MmuPV1. MmuPV1 infection facilitated both myeloid and lymphoid cell mobilization in the blood of wild type mice but not in WHIM mice. Higher incidence and larger size of papillomas in WHIM mice correlated with lower abundance of infiltrating T cells within the papillomas. Finally, we demonstrate that transplantation of bone marrow from wild type mice into WHIM mice normalized the incidence and size of papillomas, consistent with the WHIM mutation in hematopoietic cells contributing to higher susceptibility of WHIM mice to MmuPV1-induced disease. Our results provide evidence that MmuPV1 infection in WHIM mice is a powerful preclinical infectious model to investigate treatment options for alleviating papillomavirus infections in WHIM syndrome.

Impact of sex, serostatus, and smoking on risk for rheumatoid arthritis-associated interstitial lung disease subtypes.

OBJECTIVES: RA-associated interstitial lung disease (RA-ILD) includes multiple subtypes with varying histopathology, prognosis, and potential treatments. Limited research has investigated risk factors for different RA-ILD subtypes. Therefore, we examined demographic, serologic, and lifestyle associations with RA-ILD subtypes. METHODS: We systematically identified RA-ILD cases and RA-noILD controls in the Brigham RA Sequential Study and Mass General Brigham Biobank RA cohort. We determined RA-ILD subtype (usual interstitial pneumonia [UIP], nonspecific interstitial pneumonia [NSIP], and other/indeterminate) through chest high-resolution computed tomography imaging pattern. We investigated associations between demographic, lifestyle, and serologic factors and major RA-ILD subtypes using multivariable logistic regression. RESULTS: Among 3328 RA patients, we identified 208 RA-ILD cases and 547 RA-noILD controls. RA-UIP was associated with older age (OR 1.03 per year, 95%CI 1.01 to 1.05), male sex (OR 2.15, 95%CI 1.33 to 3.48), and seropositivity (OR 2.08 95%CI 1.24 to 3.48) while RA-NSIP was significantly associated only with seropositive status (OR 3.21, 95%CI 1.36 to 7.56). Non-fibrotic ILDs were significantly associated with smoking (OR 2.81, 95%CI 1.52 to 5.21). Having three RA-ILD risk factors (male, seropositive, smoking) had an OR of 6.89 (96%CI 2.41 to 19.7) for RA-UIP compared to having no RA-ILD risk factors. CONCLUSIONS: Older age, seropositivity, and male sex were strongly associated with RA-UIP while RA-related autoantibodies were associated with RA-NSIP. These findings suggest RA-ILD sex differences may be driven by RA-UIP and emphasizes the importance of further studies to clarify RA-ILD heterogeneity and optimize screening and treatment approaches.

Increasing power in screening trials by testing control-arm specimens: application to multicancer detection screening.

BACKGROUND: Cancer screening trials have required large sample sizes and long time-horizons to demonstrate cancer mortality reductions, the primary goal of cancer screening. We examine assumptions and potential power gains from exploiting information from testing control-arm specimens, which we call the "intended effect" (IE) analysis that we explain in detail herein. The IE analysis is particularly suited to tests that can be conducted on stored specimens in the control arm, such as stored blood for multicancer detection (MCD) tests. METHODS: We simulated hypothetical MCD screening trials to compare power and sample size for the standard vs IE analysis. Under two assumptions that we detail herein, we projected the IE analysis for 3 existing screening trials (National Lung Screening Trial [NLST], Minnesota Colon Cancer Control Study [MINN-FOBT-A], and Prostate, Lung, Colorectal, Ovarian Cancer Screening Trial-colorectal component [PLCO-CRC]). RESULTS: Compared with the standard analysis for the 3 existing trials, the IE design could have reduced cancer-specific mortality P values 6-fold (NLST), 33-fold (MINN-FOBT-A), or 260 000-fold (PLCO-CRC) or, alternately, reduced sample size (90% power) by 25% (NLST), 47% (MINN-FOBT-A), or 63% (PLCO-CRC). For potential MCD trial designs requiring 100 000 subjects per arm to achieve 90% power for multicancer mortality for the standard analysis, the IE analysis achieves 90% power for only 37 500-50 000 per arm, depending on assumptions concerning control-arm test-positives. CONCLUSIONS: Testing stored specimens in the control arm of screening trials to conduct the IE analysis could substantially increase power to reduce sample size or accelerate trials and could provide particularly strong power gains for MCD tests.

Invasive cancer and spontaneous regression two weeks after papillomavirus infection.

Development of invasive cancer in mammals is thought to require months or years after initial events such as mutation or viral infection. Rarely, invasive cancers regress spontaneously. We show that cancers can develop and regress on a timescale of weeks, not months or years. Invasive squamous cell carcinomas developed in normal adult, immune-competent mice as soon as 2 weeks after infection with mouse papillomavirus MmuPV1. Tumor development, regression or persistence was tissue- and strain-dependent. Cancers in infected mice developed rapidly at sites also prone to papillomavirus-induced tumors and cancers in humans - the throat, anus, and skin - and their frequency was increased in mice constitutively expressing the papillomavirus E5 oncogene, which MmuPV1 lacks. Cancers and dysplasia in the throat and anus regressed completely within 4-8 weeks of infection; however, skin lesions in the ear persisted. T-cell depletion in the mouse showed that regression of throat and anal tumors requires T cells. We conclude that papillomavirus infection suffices for rapid onset of invasive cancer, and persistence of lesions depends on factors including tissue type and host immunity. The speed of these events should promote rapid progress in the study of viral cancer development, persistence, and regression.

Morphologic Spectrum of HPV-associated Sinonasal Carcinomas.

BACKGROUND: High-risk human papillomavirus (HR-HPV) infection has been increasingly recognized as a risk factor for sinonasal tract carcinomas. However the prevalence and prognostic significance of HPV-associated sinonasal carcinomas is not well known due to limited studies and inconsistency in HPV testing modalities in literatures. Morphologically, HPV-associated sinonasal carcinomas encompass a diverse group of tumors. HPV-associated sinonasal adenocarcinoma has not been reported. The purpose of this study was to determine the prevalence, morphologic spectrum and prognostic implication of HPV-associated sinonasal carcinomas. METHODS: This cohort included 153 sinonasal carcinomas. Tissue microarrays were constructed. P16 immunohistochemistry and HR-HPV E6/7 in-situ Hybridization (ISH) were performed. Carcinomas were deemed HPV-associated based on a positive ISH testing. Clinicopathologic data was collected. RESULTS: 28/153 (18%) sinonasal carcinomas were HPV-associated. HPV-associated carcinomas consisted of 26 (93%) squamous cell carcinomas and variants, 1 (3.5%) HPV-related multiphenotypic sinonasal carcinoma and 1 (3.5%) adenocarcinoma. The HPV-associated adenocarcinoma closely resembled HPV-associated endocervical adenocarcinoma morphologically. HPV-associated carcinomas occurred in 8 (29%) women and 20 (71%) men with a median age of 66 years old. HPV-associated carcinomas were predominantly located at nasal cavity. A trend toward improved overall survival and progression free survival in HPV-associated carcinomas patients was observed, yet without statistical significance. CONCLUSION: Our study identifies a novel HPV-associated sinonasal adenocarcinoma subtype, highlights the broad morphologic spectrum of HPV-associated sinonasal carcinomas, and supports routine p16 testing during pathology practice regardless of tumor subtype followed by a confirmatory HR-HPV testing. This practice is critical for studying the clinical behavior of HPV-associated sinonasal carcinomas.

How do deep-learning models generalize across populations? Cross-ethnicity generalization of COPD detection.

OBJECTIVES: To evaluate the performance and potential biases of deep-learning models in detecting chronic obstructive pulmonary disease (COPD) on chest CT scans across different ethnic groups, specifically non-Hispanic White (NHW) and African American (AA) populations. MATERIALS AND METHODS: Inspiratory chest CT and clinical data from 7549 Genetic epidemiology of COPD individuals (mean age 62 years old, 56-69 interquartile range), including 5240 NHW and 2309 AA individuals, were retrospectively analyzed. Several factors influencing COPD binary classification performance on different ethnic populations were examined: (1) effects of training population: NHW-only, AA-only, balanced set (half NHW, half AA) and the entire set (NHW + AA all); (2) learning strategy: three supervised learning (SL) vs. three self-supervised learning (SSL) methods. Distribution shifts across ethnicity were further assessed for the top-performing methods. RESULTS: The learning strategy significantly influenced model performance, with SSL methods achieving higher performances compared to SL methods (p < 0.001), across all training configurations. Training on balanced datasets containing NHW and AA individuals resulted in improved model performance compared to population-specific datasets. Distribution shifts were found between ethnicities for the same health status, particularly when models were trained on nearest-neighbor contrastive SSL. Training on a balanced dataset resulted in fewer distribution shifts across ethnicity and health status, highlighting its efficacy in reducing biases. CONCLUSION: Our findings demonstrate that utilizing SSL methods and training on large and balanced datasets can enhance COPD detection model performance and reduce biases across diverse ethnic populations. These findings emphasize the importance of equitable AI-driven healthcare solutions for COPD diagnosis. CRITICAL RELEVANCE STATEMENT: Self-supervised learning coupled with balanced datasets significantly improves COPD detection model performance, addressing biases across diverse ethnic populations and emphasizing the crucial role of equitable AI-driven healthcare solutions. KEY POINTS: Self-supervised learning methods outperform supervised learning methods, showing higher AUC values (p < 0.001). Balanced datasets with non-Hispanic White and African American individuals improve model performance. Training on diverse datasets enhances COPD detection accuracy. Ethnically diverse datasets reduce bias in COPD detection models. SimCLR models mitigate biases in COPD detection across ethnicities.

Chemical Immobilization Effects on Cougar (Felis concolor) Movement.

Capturing and handling wildlife is a common practice for both management and research. As telemetry use has become common, the need to capture and chemically immobilize wildlife has increased. Understanding how long the effects of immobilizing agents last after releasing the animal is often poorly understood but needed to ensure that analyses use data that reflect natural behavior. Between 2016 and 2021, 87 cougars (Puma concolor) were chemically immobilized with medetomidine, zolazepam, and tiletamine (MZT) and collared across west-central Alberta, Canada, 27 of which were individuals being recollared. We examined the distance an individual traveled per day and compared equivalent periods before and after the recollaring event to determine whether postcapture movement rates were significantly different from precapture rates. Within 1 d of the recollaring, daily movement rates had returned to precapture rates (t20=2.09, P=0.18). Our results provide insight on how MZT used in cougars affects their postcapture movement and thus may be helpful in interpreting movement data after release.