Spectroscopic analysis of sediments from a tropical estuary in the Brazilian Northeast

The purpose of this work is to characterize the geochemical composition of sediments of the Parnaíba River delta, in terms of trace metal concentrations, using spectroscopic techniques. A profile sampling campaign was carried out in April 2017. The granulometric analysis of the surface sediments showed that the silt + clay fraction added up to 14.31% of the total. The mean concentrations of heavy metals in the profiles were 1.78 mg.kg-1 for Cd; 10.57 mg.kg-1 for Cr; 11.85 mg.kg-1 for Cu; 24.42 mg.kg-1 for Ni; 47.90 mg.kg-1 for Zn; 152.45 mg.kg-1 for Pb; 1887.28 mg.kg-1 for Mn; 1.12% for Al and 3.49% for Fe. Scanning electron microscopy/energy dispersive spectrometry (SEM/EDS) applied to the sediments from the coast of Ceará showed the morphological diversity of sediment grains. The infrared spectra presented similar functional groups at all tested points, demonstrating that the clay minerals in the different samples probably have the same origin.Centro de Investigaciones Geológica

Spectroscopic analysis of sediments from a tropical estuary in the Brazilian Northeast

The purpose of this work is to characterize the geochemical composition of sediments of the Parnaíba River delta, in terms of trace metal concentrations, using spectroscopic techniques. A profile sampling campaign was carried out in April 2017. The granulometric analysis of the surface sediments showed that the silt + clay fraction added up to 14.31% of the total. The mean concentrations of heavy metals in the profiles were 1.78 mg.kg-1 for Cd; 10.57 mg.kg-1 for Cr; 11.85 mg.kg-1 for Cu; 24.42 mg.kg-1 for Ni; 47.90 mg.kg-1 for Zn; 152.45 mg.kg-1 for Pb; 1887.28 mg.kg-1 for Mn; 1.12% for Al and 3.49% for Fe. Scanning electron microscopy/energy dispersive spectrometry (SEM/EDS) applied to the sediments from the coast of Ceará showed the morphological diversity of sediment grains. The infrared spectra presented similar functional groups at all tested points, demonstrating that the clay minerals in the different samples probably have the same origin.Centro de Investigaciones Geológica

ASSOCIAÇÃO ENTRE ADESÃO À MEDICAÇÃO PARA O HIV E ASPECTOS SOCIODEMOGRÁFICOS, ECONÔMICOS, COMPORTAMENTAIS E CLÍNICOS

Objetiva-se analisar os aspectos sociodemográficos, econômicos, comportamentais e clínicos e a associação entre a adesão à terapia antirretroviral para o HIV. Trata-se de um estudo transversal, das quais participaram 114 pessoas em terapia antirretroviral para o HIV. Para a coleta de dados utilizou-se um instrumento contendo aspectos sociodemográficos, econômicos, comportamentais e clínicos e o Cuestionário para la Evaluación de la Adhesión al Tratamiento Antiretroviral. Realizou-se análises bivariadas e de regressão de Poisson. Foi possível identificar melhor probabilidade de apresentar adesão em pessoas com idade superior a 40 anos, que estão de um a três anos em tratamento, que manifestaram facilidade em realizar o acompanhamento no serviço de saúde, que já apresentaram alguma doença oportunista e as pessoas que não apresentavam alguma condição psiquiátrica. Conclui-se a idade, o tempo de tratamento, o acompanhamento no serviço de saúde, apresentar alguma doença oportunista e não ter nenhuma condição psiquiátrica estão associados significativamente com a adesão à terapia antirretroviral

Longitudinal study of repeated sprint performance in youth soccer players of contrasting skeletal maturity status

The purpose of the study was to evaluate the developmental changes in performance in a repeated-sprint ability (RSA) test in young soccer players of contrasting maturity status. A total of 83 regional level Portuguese youth soccer players, aged 11-13 years at baseline was assessed annually. Stature, body mass, 7x34.2-m sprint protocol (25-s active recovery), 20-m multi-stage continuous shuttle endurance run and counter-movement jump (CMJ) without the use of the arms were measured. Fat-free mass (FFM) was determined by age and gender-specific formulas. Developmental changes in total sprint time across ages were predicted using multilevel modeling. Corresponding measurements were performed on an independent cross-sectional sub-sample of 52 youth soccer players 11-17 years to evaluate the predictive model. CA, CA(2), maturational status (SA-CA), body size (mass and stature), FFM, aerobic endurance, lower limb explosive strength and annual volume training significantly improved the statistical fit of the RSA multilevel model. In 'late' maturing athletes, the best model for predicting change in RSA was expressed by the following equation: 86.54 - 2.87 x CA + 0.05 x CA(2) - 0.25 x FFM + 0.15 x body mass + 0.05 x stature - 0.05 x aerobic endurance - 0.09 x lower limb explosive strength - 0.01 x annual volume training. The best fitting models for players who were 'on time' and 'early' maturing were identical to the best model for late maturing players, less 0.64 seconds and 1.74 seconds, respectively. Multilevel modeling provided performance curves that permitted the prediction of individual RSA performance across adolescent years in regional level soccer players

Spectroscopic analysis of sediments from a tropical estuary in the Brazilian Northeast

The purpose of this work is to characterize the geochemical composition of sediments of the Parnaíba River delta, in terms of trace metal concentrations, using spectroscopic techniques. A profile sampling campaign was carried out in April 2017. The granulometric analysis of the surface sediments showed that the silt + clay fraction added up to 14.31% of the total. The mean concentrations of heavy metals in the profiles were 1.78 mg.kg-1 for Cd; 10.57 mg.kg-1 for Cr; 11.85 mg.kg-1 for Cu; 24.42 mg.kg-1 for Ni; 47.90 mg.kg-1 for Zn; 152.45 mg.kg-1 for Pb; 1887.28 mg.kg-1 for Mn; 1.12% for Al and 3.49% for Fe. Scanning electron microscopy/energy dispersive spectrometry (SEM/EDS) applied to the sediments from the coast of Ceará showed the morphological diversity of sediment grains. The infrared spectra presented similar functional groups at all tested points, demonstrating that the clay minerals in the different samples probably have the same origin.Centro de Investigaciones Geológica

INTRAPERITONEAL CHEMOTHERAPY FOR GASTRIC CANCER WITH PERITONEAL CARCINOMATOSIS: STUDY PROTOCOL OF A PHASE II TRIAL

ABSTRACT BACKGROUND: Peritoneal carcinomatosis in gastric cancer is considered a fatal disease, without expectation of definitive cure. As systemic chemotherapy is not sufficient to contain the disease, a multimodal approach associating intraperitoneal chemotherapy with surgery may represent an alternative for these cases. AIMS: The aim of this study was to investigate the role of intraperitoneal chemotherapy in stage IV gastric cancer patients with peritoneal metastasis. METHODS: This study is a single institutional single-arm prospective clinical trial phase II (NCT05541146). Patients with the following inclusion criteria undergo implantation of a peritoneal catheter for intraperitoneal chemotherapy: Stage IV gastric adenocarcinoma; age 18–75 years; Peritoneal carcinomatosis with peritoneal cancer index<12; Eastern Cooperative Oncology Group 0/1; good clinical status; and lab exams within normal limits. The study protocol consists of four cycles of intraperitoneal chemotherapy with paclitaxel associated with systemic chemotherapy. After treatment, patients with peritoneal response assessed by staging laparoscopy undergo conversion gastrectomy. RESULTS: The primary outcome is the rate of complete peritoneal response. Progression-free and overall survivals are other outcomes evaluated. The study started in July 2022, and patients will be screened for inclusion until 30 are enrolled. CONCLUSIONS: Therapies for advanced gastric cancer patients have been evaluated in clinical trials but without success in patients with peritoneal metastasis. The treatment proposed in this trial can be promising, with easy catheter implantation and ambulatory intraperitoneal chemotherapy regime. Verifying the efficacy and safety of paclitaxel with systemic chemotherapy is an important progress that this study intends to investigate

Uma revisão integrativa sobre a Colangite Biliar Primária

A colangite biliar primária, um novo nome para a cirrose biliar primária, é uma doença colestática de etiologia autoimune e representa a primeira causa de colestase intra-hepática. Caracteriza-se pela destruição de pequenos dutos biliares ligados à infiltração de linfócitos, com prevalência de 10 a 40 por 100.000 habitantes no mundo. Este estudo teve como objetivo refletir sobre novas informações a respeito da colangite biliar primária. Para isso, foi realizada uma revisão integrativa de literatura, selecionando artigos publicados nas bases de dados Medical Literature Analysis and Retrieval System Online e Literatura Latino-americana e do Caribe em Ciências da Saúde. A partir da análise qualitativa dos dados, obteve-se como conclusão as seguintes descobertas: A PBC é um problema de saúde raro e mal diagnosticado; não há conhecimento ainda sobre as razões da predominância dessa da CBP em mulheres, resposta à terapêutica, distribuição geográfica e mortalidade entre sexos; os casos dessa doença são assintomáticos; a qualidade de vida dos pacientes é comprometida com o agravamento dos casos, onde apresentam inicialmente sinais de prurido (20 a 70% dos casos) e fadiga (entre 50% a 78% dos pacientes); exames de biópsica hepática podem ser tranquilamente substituídos por testes não-invasivos, em análises de rotina de bioquímica hepática; a possiblidade de diagnosticar a PBC pode ser diagnosticada partindo de fatores biológicos exclusivos que indicam a presença de anticorpos anti-mitocondriais e uma elevação da fosfatase alcalina. No entanto é quase possível que o PBC seja soronegativo; a etiologia da CBP não sendo encontra clara, sendo o tratamento difícil; em caso de tratamento, utiliza-se mais ursodesoxicólico, ácido biliar hidrofílico natural que bloqueia a síntese hepática do colesterol, estimulando a síntese de ácidos biliares e restaurando o equilíbrio entre esses

Pervasive gaps in Amazonian ecological research

Biodiversity loss is one of the main challenges of our time,1,2 and attempts to address it require a clear un derstanding of how ecological communities respond to environmental change across time and space.3,4 While the increasing availability of global databases on ecological communities has advanced our knowledge of biodiversity sensitivity to environmental changes,5–7 vast areas of the tropics remain understudied.8–11 In the American tropics, Amazonia stands out as the world’s most diverse rainforest and the primary source of Neotropical biodiversity,12 but it remains among the least known forests in America and is often underrepre sented in biodiversity databases.13–15 To worsen this situation, human-induced modifications16,17 may elim inate pieces of the Amazon’s biodiversity puzzle before we can use them to understand how ecological com munities are responding. To increase generalization and applicability of biodiversity knowledge,18,19 it is thus crucial to reduce biases in ecological research, particularly in regions projected to face the most pronounced environmental changes. We integrate ecological community metadata of 7,694 sampling sites for multiple or ganism groups in a machine learning model framework to map the research probability across the Brazilian Amazonia, while identifying the region’s vulnerability to environmental change. 15%–18% of the most ne glected areas in ecological research are expected to experience severe climate or land use changes by 2050. This means that unless we take immediate action, we will not be able to establish their current status, much less monitor how it is changing and what is being lostinfo:eu-repo/semantics/publishedVersio

Pervasive gaps in Amazonian ecological research

Biodiversity loss is one of the main challenges of our time,1,2 and attempts to address it require a clear understanding of how ecological communities respond to environmental change across time and space.3,4 While the increasing availability of global databases on ecological communities has advanced our knowledge of biodiversity sensitivity to environmental changes,5,6,7 vast areas of the tropics remain understudied.8,9,10,11 In the American tropics, Amazonia stands out as the world's most diverse rainforest and the primary source of Neotropical biodiversity,12 but it remains among the least known forests in America and is often underrepresented in biodiversity databases.13,14,15 To worsen this situation, human-induced modifications16,17 may eliminate pieces of the Amazon's biodiversity puzzle before we can use them to understand how ecological communities are responding. To increase generalization and applicability of biodiversity knowledge,18,19 it is thus crucial to reduce biases in ecological research, particularly in regions projected to face the most pronounced environmental changes. We integrate ecological community metadata of 7,694 sampling sites for multiple organism groups in a machine learning model framework to map the research probability across the Brazilian Amazonia, while identifying the region's vulnerability to environmental change. 15%–18% of the most neglected areas in ecological research are expected to experience severe climate or land use changes by 2050. This means that unless we take immediate action, we will not be able to establish their current status, much less monitor how it is changing and what is being lost