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Article ; Online: Influence of drying temperature on coconut-fibers.

Martinelli, Flavia R Bianchi / Pariz, Marcos Gomes / de Andrade, Rodolfo / Ferreira, Saulo Rocha / Marques, Francisco A / Monteiro, Sergio N / de Azevedo, Afonso R G

Scientific reports

2024 Volume 14, Issue 1, Page(s) 6421

Abstract: The use of natural fibers in cementitious composites has been gaining prominence in engineering. The natural lignocellulosic fibers (NLFs) used in these composites have advantages such as reduced density, reduced fragmentation and concrete cracking, thus ...

Abstract	The use of natural fibers in cementitious composites has been gaining prominence in engineering. The natural lignocellulosic fibers (NLFs) used in these composites have advantages such as reduced density, reduced fragmentation and concrete cracking, thus improving flexural performance and durability. Coconut-fiber is one of those natural fibers and its use presents technical, ecological, social and economic benefits, as it is improperly disposed of, representing a large waste of natural resources, in addition to causing environmental pollution.. Thus, composites reinforced with natural fibers are promising materials for the construction industry, as in addition to meeting the sustainability of buildings, there will also be a reduction in urban solid waste generated and gains for structures with the use of environmentally friendly materials that meet to active efforts and with greater durability. This work aims to evaluate the tensile behavior of green coconut-fibers subjected to different drying temperatures through chemical, thermal (TG/DSC), morphological, visual and mechanical analysis. Drying temperatures of 70 °C, 100 °C and 130 °C were analyzed and the results indicated that the drying temperature at 70 °C was satisfactory, providing fiber-reinforced composites with good tensile strength, combined with good ductility.
Language	English
Publishing date	2024-03-18
Publishing country	England
Document type	Journal Article
ZDB-ID	2615211-3
ISSN	2045-2322 ; 2045-2322
ISSN (online)	2045-2322
ISSN	2045-2322
DOI	10.1038/s41598-024-56596-z
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Article: Facial tumor in an indigenous child from the Brazilian Amazon.

da Silva Adolfs, Adryadne / Viana de Andrade, Rosilene / Clara da Silva Lima, Maria / Albuquerque, Henrique / Mendes Dos Santos, Luciana

JAAD case reports

2023 Volume 43, Page(s) 93–97

Language	English
Publishing date	2023-11-30
Publishing country	United States
Document type	Journal Article
ZDB-ID	2834220-3
ISSN	2352-5126
ISSN	2352-5126
DOI	10.1016/j.jdcr.2023.09.045
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Article ; Online: Emilia fosbergii

Alves de Oliveira, Evandro / Cavalheiro da Silva, Larissa / Antônio de Andrade, Ednaldo / Dênis Battirola, Leandro / Lopes Tortorela de Andrade, Ricardo

International journal of phytoremediation

2023 Volume 26, Issue 7, Page(s) 1076–1086

Abstract: Soil contamination by toxic metals threatens global public health, highlighting the need for cost-effective and ecologically sound site remediation. In this study, we assessed phytoremediation of Hg-contaminated soils ... ...

Abstract	Soil contamination by toxic metals threatens global public health, highlighting the need for cost-effective and ecologically sound site remediation. In this study, we assessed phytoremediation of Hg-contaminated soils by
MeSH term(s)	Biodegradation, Environmental ; Mercury/metabolism ; Soil Pollutants/metabolism ; Asteraceae/metabolism
Chemical Substances	Mercury (FXS1BY2PGL) ; Soil Pollutants
Language	English
Publishing date	2023-12-07
Publishing country	United States
Document type	Journal Article
ZDB-ID	2055357-2
ISSN	1549-7879 ; 1522-6514
ISSN (online)	1549-7879
ISSN	1522-6514
DOI	10.1080/15226514.2023.2288906
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Article: Magnetic Mesoporous Silica for Targeted Drug Delivery of Chloroquine: Synthesis, Characterization, and In Vitro Evaluation.

de Andrade, Rafaela / Schmidt, Rita de Cássia Dos Reis / Gomes, Leonardo Santos / Colina-Vegas, Legna / Hinrichs, Ruth / Vasconcellos, Marcos Antônio Zen / Costa, Tania Maria Haas / Deon, Monique / Villarreal, Wilmer / Benvenutti, Edilson Valmir

Pharmaceutics

2024 Volume 16, Issue 3

Abstract: Malaria is a dangerous tropical disease, with high morbidity in developing countries. The responsible parasite has developed resistance to the existing drugs; therefore, new drug delivery systems are being studied to increase efficacy by targeting ... ...

Abstract	Malaria is a dangerous tropical disease, with high morbidity in developing countries. The responsible parasite has developed resistance to the existing drugs; therefore, new drug delivery systems are being studied to increase efficacy by targeting hemozoin, a parasite paramagnetic metabolite. Herein, magnetic mesoporous silica (magMCM) was synthesized using iron oxide particles dispersed in the silica structure for magnetically driven behavior. The X-ray diffractogram (XRD) and Mössbauer spectra show patterns corresponding to magnetite and maghemite. Furthermore, Mössbauer spectroscopy revealed superparamagnetic behavior, attributed to single magnetic domains in particles smaller than 10 nm. Even in the presence of iron oxide particles, the hexagonal structure of MCM is clearly identified in XRD (low-angle region) and the channels are visible in TEM images. The drug chloroquine (CQ) was encapsulated by incipient wetness impregnation (magMCM-CQ). The N
Language	English
Publishing date	2024-03-03
Publishing country	Switzerland
Document type	Journal Article
ZDB-ID	2527217-2
ISSN	1999-4923
ISSN	1999-4923
DOI	10.3390/pharmaceutics16030357
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Article ; Online: IL-10 and IL-1β Serum Levels, Genetic Variants, and Metabolic Syndrome: Insights into Older Adults' Clinical Characteristics.

Freitas, Renata de Souza / de Souza Silva, Calliandra Maria / Ferreira Fratelli, Caroline / Ramos de Lima, Luciano / Morato Stival, Marina / Schwerz Funghetto, Silvana / Rodrigues da Silva, Izabel Cristina / Vieira de Andrade, Rosângela

Nutrients

2024 Volume 16, Issue 8

Abstract: Populational aging is marked by chronic noncommunicable diseases, such as metabolic syndrome (MetS). IL-10 and IL-1β are pleiotropic cytokines with multiple biological effects linked to metabolic disorders. This cross-sectional study assessed 193 ... ...

Abstract	Populational aging is marked by chronic noncommunicable diseases, such as metabolic syndrome (MetS). IL-10 and IL-1β are pleiotropic cytokines with multiple biological effects linked to metabolic disorders. This cross-sectional study assessed 193 participants' IL-10 and IL-1β serum levels regarding their role in developing MetS, clinical characteristics, and their
MeSH term(s)	Humans ; Interleukin-10/blood ; Interleukin-10/genetics ; Male ; Metabolic Syndrome/blood ; Metabolic Syndrome/genetics ; Female ; Interleukin-1beta/blood ; Interleukin-1beta/genetics ; Aged ; Cross-Sectional Studies ; Middle Aged ; Aged, 80 and over ; Diabetes Mellitus, Type 2/genetics ; Diabetes Mellitus, Type 2/blood ; Genotype ; Genetic Variation ; Polymorphism, Single Nucleotide ; Blood Glucose/metabolism ; Blood Glucose/analysis ; Glycated Hemoglobin/metabolism ; Glycated Hemoglobin/analysis
Chemical Substances	Interleukin-10 (130068-27-8) ; Interleukin-1beta ; IL10 protein, human ; IL1B protein, human ; Blood Glucose ; Glycated Hemoglobin
Language	English
Publishing date	2024-04-22
Publishing country	Switzerland
Document type	Journal Article
ZDB-ID	2518386-2
ISSN	2072-6643 ; 2072-6643
ISSN (online)	2072-6643
ISSN	2072-6643
DOI	10.3390/nu16081241
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Article ; Online: Predicting effluent quality parameters for wastewater treatment plant: A machine learning-based methodology.

Rios Fuck, João Vitor / Cechinel, Maria Alice Prado / Neves, Juliana / Campos de Andrade, Rodrigo / Tristão, Ricardo / Spogis, Nicolas / Riella, Humberto Gracher / Soares, Cíntia / Padoin, Natan

Chemosphere

2024 Volume 352, Page(s) 141472

Abstract: Wastewater Treatment Plants (WWTPs) present complex biochemical processes of high variability and difficult prediction. This study presents an innovative approach using Machine Learning (ML) models to predict wastewater quality parameters. In particular, ...

Abstract	Wastewater Treatment Plants (WWTPs) present complex biochemical processes of high variability and difficult prediction. This study presents an innovative approach using Machine Learning (ML) models to predict wastewater quality parameters. In particular, the models are applied to datasets from both a simulated wastewater treatment plant (WWTP), using DHI WEST software (WEST WWTP), and a real-world WWTP database from Santa Catarina Brewery AMBEV, located in Lages/SC - Brazil (AMBEV WWTP). A distinctive aspect is the evaluation of predictive performance in continuous data scenarios and the impact of changes in WWTP operations on predictive model performance, including changes in plant layout. For both plants, three different scenarios were addressed, and the quality of predictions by random forest (RF), support vector machine (SVM), and multilayer perceptron (MLP) models were evaluated. The prediction quality by the MLP model reached an R
MeSH term(s)	Wastewater ; Water Purification/methods ; Machine Learning ; Nitrogen/analysis ; Neural Networks, Computer ; Waste Disposal, Fluid/methods
Chemical Substances	Wastewater ; Nitrogen (N762921K75)
Language	English
Publishing date	2024-02-19
Publishing country	England
Document type	Journal Article
ZDB-ID	120089-6
ISSN	1879-1298 ; 0045-6535 ; 0366-7111
ISSN (online)	1879-1298
ISSN	0045-6535 ; 0366-7111
DOI	10.1016/j.chemosphere.2024.141472
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Article ; Online: Evaluation of

Daniel, K B / de Oliveira Santos, A / de Andrade, R A / Trentin, M B F / Garmes, H M

Journal of endocrinological investigation

2021 Volume 44, Issue 10, Page(s) 2195–2202

Abstract: Purpose: Acromegaly is associated with many comorbidities and increased mortality. The first-line treatment is transsphenoidal surgery. However, many patients also need adjuvant drug treatment after surgery. Somatostatin analog (SSA), which suppresses ... ...

Abstract	Purpose: Acromegaly is associated with many comorbidities and increased mortality. The first-line treatment is transsphenoidal surgery. However, many patients also need adjuvant drug treatment after surgery. Somatostatin analog (SSA), which suppresses GH secretion by somatotrophs by binding to the SSTR2 receptor, is the first choice. Nevertheless, 50% of patients are partially or totally resistant to SSA, so predictive factors of response are helpful to individualize drug treatment. Methods: Fifteen acromegalics patients on SSA treatment for at least 6 months were underwent to Results: As a result, we did not find out a significantly higher SUV max in the complete response group (p = 0.0576) to SSA. However, we found a significant inverse relationship between postoperative GH values and the SUVmax at the sella turcica (p = 0.0188), probably reflecting tumor SSTR2 expression. Conclusion: Thus, after this initial evaluation,
MeSH term(s)	Acromegaly/diagnostic imaging ; Acromegaly/drug therapy ; Acromegaly/metabolism ; Acromegaly/pathology ; Adult ; Aged ; Cross-Sectional Studies ; Female ; Follow-Up Studies ; Hormones/therapeutic use ; Humans ; Male ; Middle Aged ; Organometallic Compounds/metabolism ; Pituitary Neoplasms/diagnostic imaging ; Pituitary Neoplasms/drug therapy ; Pituitary Neoplasms/metabolism ; Pituitary Neoplasms/pathology ; Positron Emission Tomography Computed Tomography/methods ; Prognosis ; Somatostatin/analogs & derivatives ; Somatostatin/therapeutic use ; Young Adult
Chemical Substances	Hormones ; Organometallic Compounds ; Somatostatin (51110-01-1) ; gallium Ga 68 dotatate (9L17Y0H71P)
Language	English
Publishing date	2021-02-11
Publishing country	Italy
Document type	Journal Article
ZDB-ID	432272-1
ISSN	1720-8386 ; 0391-4097 ; 1121-1369
ISSN (online)	1720-8386
ISSN	0391-4097 ; 1121-1369
DOI	10.1007/s40618-021-01523-6
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Article: Renal papillary necrosis in a patient with sickle cell disease.

Pereira, Benedito Jorge / de Andrade, Raquel

Revista brasileira de hematologia e hemoterapia

2016 Volume 38, Issue 3, Page(s) 267–270

Language	English
Publishing date	2016-06-04
Publishing country	Brazil
Document type	Journal Article
ZDB-ID	2105177-X
ISSN	1806-0870 ; 1516-8484
ISSN (online)	1806-0870
ISSN	1516-8484
DOI	10.1016/j.bjhh.2016.05.004
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Article ; Online: Identifying biologically implausible values in big longitudinal data: an example applied to child growth data from the Brazilian food and nutrition surveillance system.

de Mello E Silva, Juliana Freitas / de Jesus Silva, Natanael / Carrilho, Thaís Rangel Bousquet / Jesus Pinto, Elizabete de / Rocha, Aline Santos / Pedroso, Jéssica / Silva, Sara Araújo / Spaniol, Ana Maria / da Costa Santin de Andrade, Rafaella / Bortolini, Gisele Ane / Paixão, Enny / Kac, Gilberto / de Cássia Ribeiro-Silva, Rita / Barreto, Maurício L

BMC medical research methodology

2024 Volume 24, Issue 1, Page(s) 38

Abstract: Background: Several strategies for identifying biologically implausible values in longitudinal anthropometric data have recently been proposed, but the suitability of these strategies for large population datasets needs to be better understood. This ... ...

Abstract	Background: Several strategies for identifying biologically implausible values in longitudinal anthropometric data have recently been proposed, but the suitability of these strategies for large population datasets needs to be better understood. This study evaluated the impact of removing population outliers and the additional value of identifying and removing longitudinal outliers on the trajectories of length/height and weight and on the prevalence of child growth indicators in a large longitudinal dataset of child growth data. Methods: Length/height and weight measurements of children aged 0 to 59 months from the Brazilian Food and Nutrition Surveillance System were analyzed. Population outliers were identified using z-scores from the World Health Organization (WHO) growth charts. After identifying and removing population outliers, residuals from linear mixed-effects models were used to flag longitudinal outliers. The following cutoffs for residuals were tested to flag those: -3/+3, -4/+4, -5/+5, -6/+6. The selected child growth indicators included length/height-for-age z-scores and weight-for-age z-scores, classified according to the WHO charts. Results: The dataset included 50,154,738 records from 10,775,496 children. Boys and girls had 5.74% and 5.31% of length/height and 5.19% and 4.74% of weight values flagged as population outliers, respectively. After removing those, the percentage of longitudinal outliers varied from 0.02% (<-6/>+6) to 1.47% (<-3/>+3) for length/height and from 0.07 to 1.44% for weight in boys. In girls, the percentage of longitudinal outliers varied from 0.01 to 1.50% for length/height and from 0.08 to 1.45% for weight. The initial removal of population outliers played the most substantial role in the growth trajectories as it was the first step in the cleaning process, while the additional removal of longitudinal outliers had lower influence on those, regardless of the cutoff adopted. The prevalence of the selected indicators were also affected by both population and longitudinal (to a lesser extent) outliers. Conclusions: Although both population and longitudinal outliers can detect biologically implausible values in child growth data, removing population outliers seemed more relevant in this large administrative dataset, especially in calculating summary statistics. However, both types of outliers need to be identified and removed for the proper evaluation of trajectories.
MeSH term(s)	Child ; Male ; Female ; Humans ; Body Weight ; Brazil/epidemiology ; Body Height ; Anthropometry ; Growth Charts
Language	English
Publishing date	2024-02-15
Publishing country	England
Document type	Journal Article
ZDB-ID	2041362-2
ISSN	1471-2288 ; 1471-2288
ISSN (online)	1471-2288
ISSN	1471-2288
DOI	10.1186/s12874-024-02161-1
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Article ; Online: Women in Surgical Residency Programs in Brazil: A Trend Analysis.

Brandão, Gabriela R / Bueno Motter, Sarah / Iaroseski, Júlia / Oliveira Trindade, Bruna / Mozzaquatro de Assis Brasil, Candida / Severino Rodrigues, Giovanna / de Andrade, Rafaela / Bouzeid Estacia da Silveira, Izadora / Deborah de Moraes, Aline / Paz de Paiva, Marília

The Journal of surgical research

2023 Volume 293, Page(s) 22–27

Abstract: Introduction: There is a gender gap in the surgical field worldwide. Brazil and low- and middle-income countries generally tend to have a more profound gap. Therefore, we aim to assess the gender distribution in Brazilian surgical residencies.: ... ...

Abstract	Introduction: There is a gender gap in the surgical field worldwide. Brazil and low- and middle-income countries generally tend to have a more profound gap. Therefore, we aim to assess the gender distribution in Brazilian surgical residencies. Methods: From a national residencies' database, we collected residency entering years, names, and surgical subspecialties. We classified gender from the names using Gender API software and performed linear regression, binomial, and chi-square tests. Results: From 81,979 doctors (1931-2020), 36.6% were women (P < 0.001). Of 13 subspecialties, regarding the absolute numbers of women, only neurosurgery and plastic surgery did not significantly differ between gender per year. There was a statistically significant growth in the proportional rates of female representation among most of the surgical residencies analyzed. Overall, the least women's representation was in urology (3.8%). From all subspecialties analyzed, both genders had a significant linear absolute increase over the years (P < 0.05), except for obstetrics-gynecology and pediatric surgery for men. Until 1990, all surgical programs had at least one woman resident, except for colorectal surgery. Conclusions: Although there is an overall lack of women surgeons in Brazil, we observed an increase in women in surgical residencies. Therefore, the study may demonstrate a future change in the Brazilian gender equity scenario and reflect the growing representation of women in medicine in Brazil, except for some surgical specialties.
MeSH term(s)	Child ; Humans ; Female ; Male ; Internship and Residency ; Brazil ; Medicine ; Surgeons ; Surgery, Plastic
Language	English
Publishing date	2023-09-10
Publishing country	United States
Document type	Journal Article
ZDB-ID	80170-7
ISSN	1095-8673 ; 0022-4804
ISSN (online)	1095-8673
ISSN	0022-4804
DOI	10.1016/j.jss.2023.07.039
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