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Leaf litter is an important component related to nutrient cycling and conservation of soil biodiversity. In this context, the objective of our study was to investigate the relationship between soil and leaf litter in different forest communities in sub-regions of the Pantanal (Nhecolândia and Abobral/Miranda). To this end, we collected soil and leaf litter samples from 152 sample plots divided in physiognomies regionally called as Cordilheira, Capão, Murundu, Corixo and Cambará/Canjiqueira forest. In the laboratory, analytical determinations were conducted for 22 soil attributes and 11 elements of the chemical composition of the leaf litter. The forest communities showed a great well-defined edaphic gradient encompassing environments with high natural fertility soils (Capão and Cordilheira Abobral/Miranda), acidic soils with a high proportion of soluble Al3+ (Cambará/Canjiqueira, and Corixo), and poorly developed soils with a predominantly sandy texture (Nhecolândia region, Cordilheira and Murundu). Soil attributes are significantly related to the chemical composition of litter, as indicated by correlations between N, P, Ca, Mg, Mn and the C/N ratio with physical, chemical and soil organic matter attributes. This study revealed the interaction of soils with the chemical composition of litter, constituting an ecosystem service, in forest communities in the Brazilian Pantanal.

Objective: To evaluate the effect of increased respiratory system resistance (R RS ) on dynamic compliance (C dyn ) assessed by the NM3 monitor (C dyn(NM3) ) and the E-CAiOV module (C dyn(ECAiOV) )., Study Design: Prospective laboratory study., Methods: A training test lung (TTL) simulated the mechanical ventilation of a mammal with 50 and 300 mL tidal volumes in three conditions of R RS [normal (R BL ), moderately increased (R 1 ) and severely increased (R 2 )] and a wide range of clinically relevant C dyn . Simulations at increased R RS were paired with simulations at R BL with the same static compliance for comparisons. Pearson's correlation coefficient and concordance correlation coefficient between the measurements at R BL with the ones with increased R RS were calculated. Bland-Altman plots were also used to evaluate the agreement of C dyn(ECAiOV) and C dyn(NM3) at R BL (control values) with their paired values at R 1 and R 2 . Relative bias and limits of agreement (LOAs) were calculated and LOAs larger than 30% were considered unacceptable. Trending ability of C dyn(NM3) and C dyn(ECAiOV) were evaluated by polar plots. Values of p < 0.05 were considered significant., Results: The effect of increased R RS was more pronounced for C dyn(ECAiOV) than for C dyn(NM3) . Unacceptable agreement was only observed in C dyn(NM3) at R 2 in the 300 mL simulation (bias = -18.3% and lower LOA = -45%). For C dyn(ECAiOV) , agreement was unacceptable for all tested R RS in both simulations, being the worst at R 2 in the 300 mL simulation (bias = -54.7% and lower LOA = -100.2%). Both levels of increased R RS caused poor trending ability for C dyn(ECAiOV) , whereas the same effect was only observed for C dyn(NM3) at R 2 ., Conclusions and Clinical Relevance: In the presence of increased R RS , C dyn estimated by the NM3 monitor presented better capability to distinguish between changes in R RS from changes in respiratory system compliance., (Copyright © 2024 The Authors. Published by Elsevier Ltd.. All rights reserved.)

The tree genus Dimorphandra (Fabaceae), which contains 26 species divided into three subgenera, was studied using DNA sequence data from six chloroplast genome regions (cpDNA) and the nuclear internal transcribed spacer (ITS). The analyses, which included Bayesian phylogenies and haplotype networks, ancestral area reconstructions, and ecological niche modeling, allowed for exploring the evolutionary history of Dimorphandra. Within the subgenus Phaneropsia, the cpDNA sequence data were more closely-related to species from the genus Mora, while the ITS sequence data displayed a closer phylogenetic relationship with the subgenus Pocillum. This incongruence may be due to incomplete lineage sorting associated with ancient polymorphisms. The Amazonian Dimophandra lineages were highly polymorphic and divergent, while those from the Cerrado and the Atlantic Forest had low levels of polymorphisms. The Amazon likely gave rise to the Dimophandra lineage that produced the Cerrado species, while a Cerrado lineage likely gave rise to the Atlantic Forest species. Habitat shifts were identified as a key factor in shaping the late evolutionary history of Dimorphandra., (© 2024. The Author(s) under exclusive licence to The Botanical Society of Japan.)

Climate change caused by global warming involves crucial plant growth factors such as atmospheric CO 2 concentration, ambient temperature or water availability. These stressors usually co-occur, causing intricate alterations in plant physiology and development. This work focuses on how elevated atmospheric CO 2 levels, together with the concomitant high temperature, would affect the physiology of a relevant crop, such as broccoli. Particular attention has been paid to those defence mechanisms that contribute to plant fitness under abiotic stress. Results show that both photosynthesis and leaf transpiration were reduced in plants grown under climate change environments compared to those grown under current climate conditions. Furthermore, an induction of carbohydrate catabolism pointed to a redistribution from primary to secondary metabolism. This result could be related to a reinforcement of cell walls, as well as to an increase in the pool of antioxidants in the leaves. Broccoli plants, a C 3 crop, grown under an intermediate condition showed activation of those adaptive mechanisms, which would contribute to coping with abiotic stress, as confirmed by reduced levels of lipid peroxidation relative to current climate conditions. On the contrary, the most severe climate change scenario exceeded the adaptive capacity of broccoli plants, as shown by the inhibition of growth and reduced vigour of plants. In conclusion, only a moderate increase in atmospheric CO 2 concentration and temperature would not have a negative impact on broccoli crop yields., (© 2024 The Authors. Physiologia Plantarum published by John Wiley & Sons Ltd on behalf of Scandinavian Plant Physiology Society.)

Objective: Being in direct contact with COVID-19 patients for long periods increases the risk of infection among frontline workers. The purpose of this study was to identify levels of empathy and psychological concern among medical students during the COVID-19 pandemic., Methods: An online cross-sectional study was conducted among medical interns divided into two groups: those who worked on the frontline (n = 87) and those who did not (n = 63) during the COVID pandemic. The students completed the Interpersonal Reactivity Index, Maslach Burnout Inventory, Perceived Stress Scale, and Patient Health Questionnaire., Results: The majority of respondents were women (70.7%), and the mean age was 25.45 ± 3.93 years. In unadjusted analyses, those who worked with COVID-19 patients had a higher level of empathy, stress, burnout symptoms, and depressive symptoms. In the logistic regression analyses, students who worked on the frontline during the COVID-19 pandemic had a higher level of empathy (OR: 1.27; 95% CI: 1.16-1.14), higher perceived stress levels (OR: 1.21; 95% CI: 1.05-1.39), and greater burnout symptoms (OR: 1.19; 95% CI: 1.10-1.30)., Conclusion: Medical students in the internship period who worked on the frontline during the COVID-19 pandemic had more psychological concerns and higher levels of empathy compared to those who did not work on the frontline.

Primary neuroendocrine tumors (NETs) of the bile duct are extremely rare and represent only 0.2-2% of all gastrointestinal NETs. Within the biliary system, the main bile duct is the most affected site. A 28-year-old man with a 6-month history of intermittent jaundice, pruritus, and choluria. MRCP, PET-CT and endoscopic ultrasound were performed. A well-differentiated neuroendocrine neoplasia was diagnosed. Complete resection of the main bile duct was performed with lymphadenectomy of the hepatic pedicle with Roux-en-Y hepaticojejunostomy, without complications. The patient had an adequate evolution and nowadays he’s disease-free. Primary neuroendocrine tumors of the bile duct are extremely rare. They may present clinically and radiologically similar to perihilar cholangiocarcinoma, which makes preoperative diagnosis difficult. Radical resection is indicated. Usually, they are well differentiated tumors, being the Ki-67 labeling index a reliable prognostic marker., (Universidad Nacional de Córdoba)

Changes in physical habitat that are associated with anthropogenic disturbances facilitate the establishment and expansion of non-native species in receiving environments. Here, we evaluated the relative importance of ecosystem variables for the presence and abundance of the invasive fish Poecilia reticulata in Brazil. We collected fish species and assessed environmental variables through an established physical habitat protocol in 220 stream sites located in southeastern and midwestern Brazil. A total of 14,816 P. reticulata individuals were collected in 43 stream sites, and 258 variables that describe the physical characteristics of streams were assessed, including measures of channel morphology, substrate size and type, habitat complexity and cover, riparian vegetation cover and structure, and human influence. Dimensionality reduction methods were employed to limit redundancy, resulting in a smaller set of the most relevant environmental variables. Subsequently, we used random forest models to assess the relative importance of these variables in determining the presence and abundance of P. reticulata. The presence of this invasive fish was primarily explained by human disturbance variables related to urbanization (total impact, pavement, artificial structure areal cover, riparian canopy cover, electrical conductivity, mean thalweg depth, and sand), whereas channel morphology (mean bank full height) and fish cover variables (natural fish cover, and aquatic macrophyte areal cover) were important predictors of its abundance. Identifying which ecosystem variables are favorable to the establishment of non-native species is an important step in preventing future biological invasions, as well as managing those that already occur., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2023 Elsevier B.V. All rights reserved.)

We present the case of a 45-year-old man with watery diarrhea for 2 years, leading to marked weight loss (52 kg). On admission, the patient presented with pallor, dehydration and cachexia. Abdominal examination revealed increased bowel sounds, painful and visible intestinal peristalsis, suggesting intestinal obstruction. There was no response to a gluten-free diet and nutritional support. Finally, the patient developed pulmonary infection, septic shock and died 3 months after admission. The diagnosis of CD4+/CD8+ indolent T-cell lymphoma of the GI tract was made post-mortem.

The impact of global warming on transpiration and photosynthesis would compromise plant fitness, impacting on crop yields and ecosystem functioning. In this frame, we explored the performance of a set of Arabidopsis mutants carrying partial or total loss-of-function alleles of stomatal development genes and displaying distinct stomatal abundances. Using microscopy and non-invasive imaging techniques on this genotype collection, we examined anatomical leaf and stomatal traits, plant growth and development, and physiological performance at optimal (22°C) and supra-optimal (30°C) temperatures. All genotypes showed thermomorphogenetic responses but no signs of heat stress. Data analysis singled out an extremely low stomatal abundance mutant, spch-5 . At 22°C, spch-5 had lower transpiration and warmer leaves than the wild type. However, at 30°C, this mutant developed larger stomata and thinner leaves, paralleled by a notable cooling capacity, similar to that of the wild type. Despite their low stomatal density (SD), spch-5 plants grown at 30°C showed no photosynthesis or growth penalties. The behavior of spch-5 at supra-optimal temperature exemplifies how the effect of very low stomatal numbers can be counteracted by a combination of larger stomata and thinner leaves. Furthermore, it provides a novel strategy for coping with high growth temperatures., Competing Interests: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest., (Copyright © 2022 Pérez-Bueno, Illescas-Miranda, Martín-Forero, de Marcos, Barón, Fenoll and Mena.)

A rapid diagnosis of black rot in brassicas, a devastating disease caused by Xanthomonas campestris pv. campestris (Xcc), would be desirable to avoid significant crop yield losses. The main aim of this work was to develop a method of detection of Xcc infection on broccoli leaves. Such method is based on the use of imaging sensors that capture information about the optical properties of leaves and provide data that can be implemented on machine learning algorithms capable of learning patterns. Based on this knowledge, the algorithms are able to classify plants into categories (healthy and infected). To ensure the robustness of the detection method upon future alterations in climate conditions, the response of broccoli plants to Xcc infection was analyzed under a range of growing environments, taking current climate conditions as reference. Two projections for years 2081-2100 were selected, according to the Assessment Report of Intergovernmental Panel on Climate Change. Thus, the response of broccoli plants to Xcc infection and climate conditions has been monitored using leaf temperature and five conventional vegetation indices (VIs) derived from hyperspectral reflectance. In addition, three novel VIs, named diseased broccoli indices (DBI 1 -DBI 3 ), were defined based on the spectral reflectance signature of broccoli leaves upon Xcc infection. Finally, the nine parameters were implemented on several classifying algorithms. The detection method offering the best performance of classification was a multilayer perceptron-based artificial neural network. This model identified infected plants with accuracies of 88.1, 76.9, and 83.3%, depending on the growing conditions. In this model, the three Vis described in this work proved to be very informative parameters for the disease detection. To our best knowledge, this is the first time that future climate conditions have been taken into account to develop a robust detection model using classifying algorithms., Competing Interests: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest., (Copyright © 2022 Pineda, Pérez-Bueno and Barón.)