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The city of Belo Horizonte is a state capital in Brazil with 2.7 million people. The city is remarkable for its stubbornly high and stable levels of domestic violence, and for having implemented very restrictive responses to the COVID-19 pandemic. Using 260 weeks of data between 2017 and 2021, we used an Interrupted Time Series model to estimate the effect of the restrictive orders and their subsequent relief on reports of domestic violence against women. Results show that restrictive orders had a large and negative immediate impact on reports of domestic violence against women, which was immediately followed by a gradual increase towards their original level. The subsequent relief had no impact, as the series had already resumed its earlier trend by the time restrictions ended. We engage with theory and extant research from middle-income countries to consider why reports declined and why this decline was momentary. Findings contrast with research in high-income countries, which generally found increases in reports of domestic violence after implementing pandemic-related restrictions. However, results align with a single other study in Mexico, a medium-income country similar to Brazil. In light of our data's context and literature, we considered that reports of domestic violence may have declined not necessarily because of a reduction in actual incidents, but because the restrictions may have exacerbated the isolation of women in vulnerable domestic arrangements, limiting their ability to report their victimization. A stable trend in reports of domestic violence against women, which resumed even after a global pandemic, suggests that current policies have been ineffective and that addressing domestic violence requires a better understanding of related issues and evidence-based strategies. Our study also highlights the importance of considering the consequences of hastily implemented policies during a crisis. While necessary, such policies can inadvertently exacerbate issues such as social isolation.

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INTRODUCTION: Although recreational cannabis use and abuse are expressive worldwide, the comparison of worldwide used psychotherapies, such as cognitive behavior therapy, with contingency management in the treatment of cannabis use disorder remains inconclusive. METHODS: We screened all articles published on MEDLINE (via PubMed) published until October 2023 and conducted a systematic review with meta-analysis. RESULTS: Sixteen studies were included, and contingency management intervention likely promotes abstinence outcomes and more negative urinalyses for adults or adolescents with cannabis use disorder. DISCUSSION: This review provides moderate- to high-quality evidence that contingency management can be used to treat cannabis use disorder. However, further trials need to be developed to analyze the quantity of substance use, personal achievements, and operational improvements after treatment.

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Objectives. To examine drug overdoses in Colombia by type of substance, sex, age, and intent using data from a health surveillance system from 2010 to 2021. Methods. We characterized data by year, type of substance, and sociodemographic variables. We calculated age-adjusted overdose rates by substance type, sex, age groups, and intent. We used Poisson regression models to examine trend differences across sex and age groups. Results. Age-adjusted rates of drug overdoses increased from 8.51 to 40.52 per 100 000 during 2010 to 2021. Men, compared with women, had higher overdose rates for every substance, except for opioids and psychotropics. Drug overdose rates involving cannabis and stimulants increased steadily until 2017 but decreased afterward. Overdose rates involving psychotropic medication increased greatly during 2018 to 2021, mainly because of intentional overdoses in young women. Conclusions. Overdoses involving illegal drugs decreased in recent years in Colombia; however, the continuous increase in intentional psychotropic overdose rates highlights the need for prevention efforts to curb this trend. Health surveillance systems are an important tool that can guide overdose prevention efforts in countries with limited data resources. (Am J Public Health. 2024;114(11):1252-1260. https://doi.org/10.2105/AJPH.2024.307786).

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The nucleocapsid (N) protein of SARS-CoV-2 is a multifunctional protein involved in nucleocapsid assembly and various regulatory functions. It is the most abundant protein during viral infection. Its functionality is closely related to its structure, which comprises two globular domains, the N-terminal domain (NTD) and the C-terminal domain (CTD), flanked by intrinsically disordered regions. The linker between the NTD and CTD includes a Serine-Arginine rich (SR) region, which is crucial for the regulation of the N protein's function. Here, we report the near-complete assignment of the construct containing the NTD followed by the SR region (NTD-SR). Additionally, we describe the dynamic nature of the SR region and compare it with all other available chemical shift assignments reported for the SR region.

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BACKGROUND: Monitoring and analysing the infection rates of the vector of Trypanosoma cruzi, that causes Chagas disease, helps assess the risk of transmission. OBJECTIVES: A study was carried out on triatomine in the State of Paraná, Brazil, between 2012 and 2021 and a comparison was made with a previous study. This was done to assess the risk of disease transmission. METHODS: Ecological niche models based on climate and landscape variables were developed to predict habitat suitability for the vectors as a proxy for risk of occurrence. FINDINGS: A total of 1,750 specimens of triatomines were recorded, of which six species were identified. The overall infection rate was 22.7%. The areas with the highest risk transmission of T. cruzi are consistent with previous predictions in municipalities. New data shows that climate models are more accurate than landscape models. This is likely because climate suitability was higher in the previous period. MAIN CONCLUSION: Regardless of uneven sampling and potential biases, risk remains high due to the wide presence of infected vectors and high environmental suitability for vector species throughout the state and, therefore, improvements in public policies aimed at wide dissemination of knowledge about the disease are recommended to ensure the State remains free of Chagas disease.

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Negative density dependence (NDD) in biotic interactions of interference such as plant-plant competition, granivory and herbivory are well-documented mechanisms that promote species' coexistence in diverse plant communities worldwide. Here, we investigated the generality of a novel type of NDD mechanism that operates through the mutualistic interactions of frugivory and seed dispersal among fruit-eating birds and plants. By sampling community-wide frugivory interactions at high spatial and temporal resolution in Pennsylvania, Puerto Rico, Peru, Brazil and Argentina, we evaluated whether interaction frequencies between birds and fruit resources occurred more often (selection), as expected, or below expectations (under-utilization) set by the relative fruit abundance of the fruit resources of each plant species. Our models considered the influence of temporal scales of fruit availability and bird phylogeny and diets, revealing that NDD characterizes frugivory across communities. Irrespective of taxa or dietary guild, birds tended to select fruits of plant species that were proportionally rare in their communities, or that became rare following phenological fluctuations, while they mostly under-utilized abundant fruit resources. Our results demonstrate that negative density-dependence in frugivore-plant interactions provides a strong equalizing mechanism for the dispersal processes of fleshy-fruited plant species in temperate and tropical communities, likely contributing to building and sustaining plant diversity. This article is part of the theme issue 'Diversitydependence of dispersal: interspecific interactions determine spatial dynamics'.

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The recent availability of open-access repositories of functional traits has revolutionized trait-based approaches in ecology and evolution. Nevertheless, the underrepresentation of tropical regions and lineages remains a pervasive bias in plant functional trait databases, which constrains large-scale assessments of plant ecology, evolution, and biogeography. Here, we present MelastomaTRAITs 1.0, a comprehensive and updatable database of functional traits for the pantropical Melastomataceae, the ninth-largest angiosperm family with 177 genera and more than 5800 species. Melastomataceae encompass species with a wide diversity of growth forms (herbs, shrubs, trees, epiphytes, and woody climbers), habitats (including tropical forests, savannas, grasslands, and wetlands from sea level to montane areas above the treeline), ecological strategies (from pioneer, edge-adapted and invasive species to shade-tolerant understory species), geographic distribution (from microendemic to continental-wide distribution), reproductive, pollination, and seed dispersal systems. MelastomaTRAITs builds on 581 references, such as taxonomic monographs, ecological research, and unpublished data, and includes four whole-plant traits, six leaf traits, 11 flower traits, 18 fruit traits, and 27 seed traits for 2520 species distributed in 144 genera across all 21 tribes. Most data come from the Neotropics where the family is most species-rich. Miconieae (the largest tribe) contains the highest number of trait records (49.6%) and species (41.1%) records. The trait types with the most information in the database were whole-plant traits, flowers, and leaf traits. With the breadth of functional traits recorded, our database helps to fill a gap in information for tropical plants and will significantly improve our capacity for large-scale trait-based syntheses across levels of organization, plant-animal interactions, regeneration ecology, and thereby support conservation and restoration programs. There are no copyright restrictions on the dataset; please cite this data paper when reusing the data.

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AIMS: This study sought to elucidate the primary ATP-dependent mechanisms involved in clearing cytosolic Ca2+ in neurons and determine the predominant ATP-generating pathway-glycolysis or tricarboxylic acid cycle/oxidative phosphorylation (TCA/OxPhos)-associated with these mechanisms in hippocampal pyramidal neurons. MAIN METHODS: Our investigation involved evaluating basal Ca2+ levels and analyzing the kinetic characteristics of evoked neuronal Ca2+ transients after selectively combined the inhibition/blockade of key ATP-dependent mechanisms with the suppression of either TCA/OxPhos or glycolytic ATP sources. KEY FINDINGS: Our findings unveiled that the plasma membrane Ca2+ ATPase (PMCA) serves as the principal ATP-dependent mechanism for clearance cytosolic Ca2+ in hippocampal pyramidal neurons, both during rest and neuronal activity. Remarkably, during cellular activity, PMCA relies on ATP derived from glycolysis, challenging the traditional notion of neuronal reliance on TCA/OxPhos for ATP. Other mechanisms for Ca2+ clearance in pyramidal neurons, such as SERCA and NCX, appear to be dependent on TCA/OxPhos. Interestingly, at rest, the ATP required to fuel PMCA and SERCA, the two main mechanisms to keep resting Ca2+, seems to originate from a source other than glycolysis or the TCA/OxPhos. SIGNIFICANCE: These findings underscore the vital role of glycolysis in bolstering PMCA neuronal function to uphold Ca2+ homeostasis. Moreover, they elucidate the varying dependencies of cytoplasmic Ca2+ clearance mechanisms on distinct energy sources for their operation.

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INTRODUCTION: The incidence of sleep deprivation has increased in pediatric populations, however, the relationship with physical activity (PA) remains uncertain and lacks evidence. Although some studies have shown that parents' lifestyle habits can influence this process, one point that requires further clarification in the literature is whether parents' sleep quality is linked to that of their children and whether parents' physical activity could play an important role in these possible relationships. OBJECTIVES: To investigate the relationship of sleep quality between parents and children and verify the role of physical activity in this association. METHODS: This is a cross-sectional study. Sleep quality was assessed using the Mini Sleep Questionnaire. The amount of sleep was estimated by the number of hours slept. PA domains (occupational activities, leisure, and active commuting) were assessed using the Baecke questionnaire, while moderate to vigorous PA (MVPA) was assessed with an accelerometer. Socioeconomic status was obtained through a questionnaire. The relationship of sleep quality between parents and children was carried out using hierarchical models with Binary Logistic Regression, where the factors were inserted one by one (1. unadjusted model; 2. sociodemographic variables; 3. children's PA; 4. parents' PA). RESULTS: The study sample consisted of 102 children and adolescents (6-17 years), 92 mothers, and 69 fathers. Poor sleep quality of mothers was associated with their children's sleep quality (OR = 3.95; 95%CI = 1.33-11.38; P = 0.013). After inserting mothers' PA intensity into the final model, the associations remained significant (OR = 8.05; 1.33-48.59; P = 0.023). No relationship was observed between poor sleep quality of fathers and their children's sleep quality. CONCLUSION: The relationship between poor sleep quality of mothers and that of their children remained significant, regardless of confounding variables.

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BACKGROUND AIMS: Coronavirus disease 2019 (COVID-19) is characterized by a broad spectrum of clinical manifestations with the potential to progress to multiple organ dysfunction in severe cases. Extracellular vesicles (EVs) carry a range of biological cargoes, which may be used as biomarkers of disease state. METHODS: An exploratory secondary analysis of the SARITA-2 and SARITA-1 datasets (randomized clinical trials on patients with mild and moderate/severe COVID-19) was performed. Serum-derived EVs were used for proteomic analysis to identify enriched biological processes and key proteins, thus providing insights into differences in disease severity. Serum-derived EVs were separated from patients with COVID-19 by size exclusion chromatography and nanoparticle tracking analysis was used to determine particle concentration and diameter. Liquid chromatography coupled with tandem mass spectrometry (LC-MS/MS) was performed to identify and quantify protein signatures. Bioinformatics and multivariate statistical analysis were applied to distinguish candidate proteins associated with disease severity (mild versus moderate/severe COVID-19). RESULTS: No differences were observed in terms of the concentration and diameter of enriched EVs between mild (n = 14) and moderate/severe (n = 30) COVID-19. A total of 414 proteins were found to be present in EVs, of which 360 were shared while 48 were uniquely present in severe/moderate compared to mild COVID-19. The main biological signatures in moderate/severe COVID-19 were associated with platelet degranulation, exocytosis, complement activation, immune effector activation, and humoral immune response. Von Willebrand factor, serum amyloid A-2 protein, histone H4 and H2A type 2-C, and fibrinogen ß-chain were the most differentially expressed proteins between severity groups. CONCLUSION: Exploratory proteomic analysis of serum-derived EVs from patients with COVID-19 detected key proteins related to immune response and activation of coagulation and complement pathways, which are associated with disease severity. Our data suggest that EV proteins may be relevant biomarkers of disease state and prognosis.

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BACKGROUND Monitoring and analysing the infection rates of the vector of Trypanosoma cruzi, that causes Chagas disease, helps assess the risk of transmission. OBJECTIVES A study was carried out on triatomine in the State of Paraná, Brazil, between 2012 and 2021 and a comparison was made with a previous study. This was done to assess the risk of disease transmission. METHODS Ecological niche models based on climate and landscape variables were developed to predict habitat suitability for the vectors as a proxy for risk of occurrence. FINDINGS A total of 1,750 specimens of triatomines were recorded, of which six species were identified. The overall infection rate was 22.7%. The areas with the highest risk transmission of T. cruzi are consistent with previous predictions in municipalities. New data shows that climate models are more accurate than landscape models. This is likely because climate suitability was higher in the previous period. MAIN CONCLUSION Regardless of uneven sampling and potential biases, risk remains high due to the wide presence of infected vectors and high environmental suitability for vector species throughout the state and, therefore, improvements in public policies aimed at wide dissemination of knowledge about the disease are recommended to ensure the State remains free of Chagas disease.

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Objectives: To examine drug overdose records in Brazil from 2000 to 2020, analyzing trends over time in overdoses and overall sociodemographic characteristics of the deceased. Methods: Using data from the Brazilian Mortality Information System (Sistema de Informações sobre Mortalidade), we identified records from 2000-2020 in which the underlying cause-of-death was one of the following codes: X40-X45 (accidental poisoning), X60-X65 (intentional poisoning), or Y10-Y15 (undetermined intentionality poisoning). The Brazilian dataset included 21,410 deaths. We used joinpoint regression analysis to assess changes in trends over time. Results: People who died of drug overdoses in Brazil between 2000 and 2020 had a mean age of 38.91 years; 38.45% were women, and 44.01% were identified as White. Of the overdose deaths, 44.70% were classified as intentional and 32.12% were classified as unintentional. Among the identified drugs, stimulants were the most common class. However, most records did not report which drug was responsible for death. Conclusion: Sociodemographic trends in overdose deaths in Brazil must guide country-specific policies. Nevertheless, data collection protocols must be improved, particularly regarding the drug used in overdoses.

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OBJECTIVES: To examine drug overdose records in Brazil from 2000 to 2020, analyzing trends over time in overdoses and overall sociodemographic characteristics of the deceased. METHODS: Using data from the Brazilian Mortality Information System (Sistema de Informações sobre Mortalidade), we identified records from 2000-2020 in which the underlying cause-of-death was one of the following codes: X40-X45 (accidental poisoning), X60-X65 (intentional poisoning), or Y10-Y15 (undetermined intentionality poisoning). The Brazilian dataset included 21,410 deaths. We used joinpoint regression analysis to assess changes in trends over time. RESULTS: People who died of drug overdoses in Brazil between 2000 and 2020 had a mean age of 38.91 years; 38.45% were women, and 44.01% were identified as White. Of the overdose deaths, 44.70% were classified as intentional and 32.12% were classified as unintentional. Among the identified drugs, stimulants were the most common class. However, most records did not report which drug was responsible for death. CONCLUSION: Sociodemographic trends in overdose deaths in Brazil must guide country-specific policies. Nevertheless, data collection protocols must be improved, particularly regarding the drug used in overdoses.

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In this study, samples of bromeliad Tillandsia usneoides (n = 70) were transplanted and exposed for 15 and 45 days in 35 outdoor residential areas in Brumadinho (Minas Gerais state, Brazil) after one of the most severe mining dam collapses in the world. Trace elements aluminum (Al), arsenic (As), chromium (Cr), copper (Cu), iron (Fe), mercury (Hg), manganese (Mn), nickel (Ni) and zinc (Zn) were quantified by atomic absorption spectrometry. Scanning electron microscope generated surface images of T. usneoides fragments and particulate matter (PM2.5, PM10 and PM > 10). Aluminum, Fe and Mn stood out from the other elements reflecting the regional geological background. Median concentrations in mg kg-1 increased (p < 0.05) between 15 and 45 days for Cr (0.75), Cu (1.23), Fe (474) and Mn (38.1), while Hg (0.18) was higher at 15 days. The exposed-to-control ratio revealed that As and Hg increased 18.1 and 9.4-fold, respectively, not showing a pattern associated only with the most impacted sites. The PM analysis points to a possible influence of the prevailing west wind on the increase of total particles, PM2.5 and PM10 in transplant sites located to the east. Brazilian public health dataset revealed increase in cases of some cardiovascular and respiratory diseases/symptoms in Brumadinho in the year of the dam collapse (1.38 cases per 1000 inhabitants), while Belo Horizonte capital and its metropolitan region recorded 0.97 and 0.37 cases, respectively. Although many studies have been carried out to assess the consequences of the tailings dam failure, until now atmospheric pollution had not yet been evaluated. Furthermore, based on our exploratory analysis of human health dataset, epidemiological studies are required to verify possible risk factors associated with the increase in hospital admissions in the study area.

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