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[This corrects the article DOI: 10.1371/journal.pone.0301583.].

People with mental illness tend to present low levels of physical activity and high levels of sedentary behavior. The study aims to compare these levels in mental illness patients, exploring the role of socioeconomic development and treatment setting. This cross-sectional study used accelerometers and the Simple Physical Activity Questionnaire (SIMPAQ) to assess physical activity and sedentary behavior in mental illness individuals living in 23 countries. Two-way ANOVAs were used to evaluate the interaction between socioeconomic development and the treatment settings on physical activity and sedentary behavior. A total of 884 (men = 55.3%) participants, mean age of 39.3 (SD = 12.8), were evaluated. A significant interaction between socioeconomic development and treatment settings was found in sedentary behavior (F = 5.525; p = 0.019; η2p = 0.009; small effect size). Main effects were observed on socioeconomic development (F = 43.004; p < 0.001; η2p = 0.066; medium effect size) and treatment setting (F = 23.001; p < 0.001; η2p = 0.036; small effect size) for sedentary behavior and physical activity: socioeconomic development (F = 20.888; p < 0.001; η2p = 0.033; small effect size) and treatment setting (F = 30.358; p < 0.001; η2p = 0.047; small effect size), showing that HIC patients were more active, while MIC patients were more sedentary. Moreover, despite of inpatients had presented higher levels of physical activity than outpatients, they also spent more time sitting. Socioeconomic development plays an important role in sedentary behavior in patients with mental disorders, warning the need to develop new strategies to reduce these levels in this population.

The global concern over water pollution caused by contaminants of emerging concern has been the subject of several studies due to the complexity of treatment. Here, the synthesis of a graphene oxide-based magnetic material (GO@Fe 3 O 4 ) produced according to a modified Hummers’ method followed by a hydrothermal reaction was proposed; then, its application as a photocatalyst in clonazepam photo-Fenton degradation was investigated. Several characterization analyses were performed to analyze the structure, functionalization and magnetic properties of the composite. A 2 3 factorial design was used for the optimization procedure to investigate the effect of [H 2 O 2 ], GO@Fe 3 O 4 dose and pH on clonazepam degradation. Adsorption experiments demonstrated that GO@Fe 3 O 4 could not adsorb clonazepam. Photo-Fenton kinetics showed that total degradation of clonazepam was achieved within 5 min, and the experimental data were better fitted to the PFO model. A comparative study of clonazepam degradation by different processes highlighted that the heterogeneous photo-Fenton process was more efficient than homogeneous processes. The radical scavenging test showed that O 2 · - was the main active free radical in the degradation reaction, followed by hydroxyl radicals ( • OH) and holes (h + ) in the valence layer; accordingly, a mechanism of degradation was proposed to describe the process.

The objective of this study was to develop and calibrate a photovoltaic-powered soil moisture sensor (SMS) for irrigation management. Soil moisture readings obtained from the sensor were compared with gravimetric measurements. An automated SMS was used in two trials: (i) okra crop (Abelmoschus esculentus) and (ii) chili pepper (Capsicum frutescens). All sensors were calibrated and automated using an Arduino Mega board with C++. The soil moisture data were subjected to descriptive statistical analysis. The data recorded by the equipment was correlated with the gravimetric method. The determination coefficient (R2), Pearson correlation (r), and root mean square error (RMSE) were adopted as criteria for equipment validation. The results show that our SMS achieved an R2 value of 0.70 and an r value of 0.84. Notably, there was a striking similarity observed between SMS and gravimetric data, with RMSE values of 3.95 and 4.01, respectively. The global model developed exhibited highly efficient outcomes with R2 (0.98) and r (0.99) values. The applicability of the developed SMS facilitates irrigation management with accuracy and real-time monitoring using digital data. The automation of the SMS emerges as a real-time and precise alternative for performing irrigation at the right moment and in the correct amount, thus avoiding water losses.

The release of damage-associated molecular patterns, including uridine triphosphate (UTP) and adenosine triphosphate (ATP) to the extracellular milieu is a key component of innate immune response to infection. Previously, we showed that macrophage infection by the protozoan parasite Leishmania amazonensis —the etiological agent of cutaneous leishmaniasis—can be controlled by ATP- and UTP-mediated activation of P2Y and P2X7 receptors (activated by UTP/ATP and ATP, respectively), which provided comparable immune responses against the parasite. Interestingly, in context of Leishmania amazonensis infection, UTP/P2Y triggered apoptosis, reactive oxygen species, and oxide nitric (NO) production, which are characteristic of P2X7 receptor activation. Here, we examined a possible “cross-talk” between P2Y2 and P2X7 receptors, and the requirement for pannexin-1 (PANX-1) in the control of L. amazonensis infection in mouse peritoneal macrophages and in vivo . UTP treatment reduced L. amazonensis parasite load, induced extracellular ATP release [which was pannexin-1 (PANX-1) dependent], and triggered leukotriene B4 (LTB4) production in macrophages. UTP-induced parasite control was blocked by pharmacological antagonism of P2Y2 or P2X7 receptors and was absent in macrophages lacking P2X7 or PANX-1. In addition, ATP release induced by UTP was also inhibited by PANX-1 blocker carbenoxolone, and partially reversed by inhibitors of vesicle traffic and actin cytoskeleton dynamics. In vivo , UTP treatment reduced footpad and popliteal lymph node parasite load, and the lesion in wild-type (WT) mice; fact not observed in P2X7−/− mice. Our data reveal that P2Y2 and P2X7 receptors cooperate to trigger potent innate immune responses against L. amazonensis infection.

p-Cymene (p-C) and rosmarinic acid (RA) are secondary metabolites that are present in medicinal herbs and Mediterranean spices that have promising anti-inflammatory properties. This study aimed to evaluate their intestinal anti-inflammatory activity in the trinitrobenzene sulphonic acid (TNBS)-induced colitis model in rats. p-C and RA (25–200 mg/kg) oral administration reduced the macroscopic lesion score, ulcerative area, intestinal weight/length ratio, and diarrheal index in TNBS-treated animals. Both compounds (200 mg/kg) decreased malondialdehyde (MDA) and myeloperoxidase (MPO), restored glutathione (GSH) levels, and enhanced fluorescence intensity of superoxide dismutase (SOD). They also decreased interleukin (IL)-1β and tumor necrosis factor (TNF)-α, and maintained IL-10 basal levels. Furthermore, they modulated T cell populations (cluster of differentiation (CD)4+, CD8+, or CD3+CD4+CD25+) analyzed from the spleen, mesenteric lymph nodes, and colon samples, and also decreased cyclooxigenase 2 (COX-2), interferon (IFN)-γ, inducible nitric oxide synthase (iNOS), and nuclear transcription factor kappa B subunit p65 (NFκB-p65) mRNA transcription, but only p-C interfered in the suppressor of cytokine signaling 3 (SOCS3) expression in inflamed colons. An increase in gene expression and positive cells immunostained for mucin type 2 (MUC-2) and zonula occludens 1 (ZO-1) was observed. Altogether, these results indicate intestinal anti-inflammatory activity of p-C and RA involving the cytoprotection of the intestinal barrier, maintaining the mucus layer, and preserving communicating junctions, as well as through modulation of the antioxidant and immunomodulatory systems.

Key Message Tree size and exposure is a key driver of stemflow; canopy heterogeneity leads to spatial randomness of stemflow; stemflow impacts soil moisture in superficial layers. Stemflow (SF) plays a relevant role in forest hydrology by delivering rain to the soil around trees. This study sought to explore the effects of tree traits on the amount of SF in an Atlantic Forest remnant in Southeast Brazil using stepwise regressions from April 2016 to March 2017. In addition, we evaluated the spatial association among trees in regard to SF using bivariate Ripley’s K as well as the impact of SF on soil water content (SWC) at five different layers (up to 1 m) using linear regression. We found that the diameter at breast height (DBH), percentage of mosses on the tree trunk, average leaf area, and relative position of the tree within the canopy were selected as explanatory variables in total and monthly average SF models. For the wet season SF models, crown area, percentage of mosses cover on the trunk, average leaf area, and relative position within the canopy were the selected variables, whereas for the dry period SF models, DBH and percentage of mosses were selected. A complete spatial randomness (CSR) between the SF classes was confirmed. We observed that SF impacted the SWC in the superficial layers. Therefore, tree size, exposure, and seasonal differences were the key drivers of SF amount due to the leaf losses during the dry period. Heterogeneity of the canopy is probably responsible for the CSR of SF in the study area. We expect that this study will contribute to the understanding of the hydrological processes in the Atlantic forest hotspot by clarifying the aspects of water capture by trees.

We report the first formal record of the Indian meal moth Plodia interpunctella from a location within the Antarctic Treaty area, with the capture of a live adult male within the Brazilian Comandante Ferraz research station on King George Island, South Shetland Islands. This species is a well-known pest of stored products and is widely recorded in synanthropic situations such as food stores globally. No other adults or immature stages have been observed on the station. While there is no suggestion that P. interpunctella could survive or establish in the natural environment beyond the station, this observation highlights the ever-present threat of unintended anthropogenically assisted transfer of non-Antarctic species into human facilities on the continent, with some such species proving extremely difficult to eradicate if they successfully establish within these facilities.

Background/Objectives: Depression, anxiety, and stress are highly prevalent mental disorders worldwide, and food consumption can change in individuals with these conditions. We aimed to assess the food consumption of women with depressive symptoms and compare it to a control without symptoms. Methods: A cross-sectional study was conducted with 96 women, aged 18–59, allocated into two groups: control (n = 62) or depressive symptoms (n = 34). The participants underwent an anthropometric assessment, and food consumption was evaluated using a 24 h food recall and the NOVA classification. Depressive symptoms, anxiety, and stress were measured using the DASS-21 questionnaire. Results: Anthropometric parameters did not differ between the groups. Women with depressive symptoms consumed fewer calories (p = 0.006), carbohydrates (p = 0.014), proteins (p = 0.036), and lipids (0.011) from unprocessed and minimally processed foods (UMPF) compared to the control women. A negative correlation was found between the dietary consumption energy of UMPF and symptoms of depression (r = −0.337; p = 0.001), anxiety (r = −0.262; p = 0.014), and stress (r = −0.260; p = 0.014), as well as a positive correlation between energy intake from ultra-processed foods (UPF) and symptoms of depression (r = 0.218; p = 0.042) and stress (r = 0.227; p = 0.034). Regression analysis showed that depressive symptoms accounted for 7.6% of the lower energy consumption from UMPF. Conclusions: Women with depressive symptoms displayed lower UMPF consumption, and this was negatively correlated with symptoms of depression, anxiety, and stress. Professional dietary advice can improve health status in these patients.

The objective of this study is to evaluate the spatio-temporal dynamics of land vulnerability and pasture areas in the dairy basins of the states of Pernambuco and Alagoas, which are part of the Ipanema River Watershed (IRW) in the Northeast Region of Brazil. Maps of the Land Use and Land Cover (LULC); the Index of Vulnerability to Degradation (IVD); the Land Vulnerability Index (LVI); time series of Effective Herd (EH), Milked Cows (MC), and Milk Production (MP); and Pasture Cover (PC) and Quality (PCQ) were created as parameters. An opposite pattern was observed between the land use classes of Livestock, Agriculture, and Forest. The IRW area has predominantly flat terrain with a very high risk of degradation. The analysis of MC was consistent with the information from the EH analysis as well as with MP. When assessing Pasture Quality, Severe Degradation areas increased from 2010 to 2014, decreased after 2015, and rose again in 2020. Moderate Degradation areas remained high, while Not Degraded pasture areas were consistently the lowest from 2012 to 2020. Over the 10 years analyzed (2010–2020), the area showed a strong degradation process, with the loss of approximately 16% of the native vegetation of the Caatinga Biome and an increase in pasture areas and land vulnerability.