cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.11678640.v1
title: Sensitivity and specificity of the Brazilian version of the Montreal Cognitive Assessment – Basic (MoCA-B) in chronic kidney disease

description: Abstract Introduction Cognitive impairment in chronic kidney disease (CKD) is commonly associated with neuropsychiatric disorders. As a complex pathology, at all stages of CKD patients need to have a good understanding of the need for drug and nutritional adherence. Cognitive screening is the starting point for detection of cognitive impairments. Objective To determine the specificity and sensitivity of the Brazilian Portuguese version of the Montreal Cognitive Assessment – Basic (MoCA-B) for identification of cognitive impairment in the CKD population. Methods This was a cross-sectional study with 163 CKD patients undergoing hemodialysis treatment. The Mini-Mental State Examination (MMSE) and MoCA-B were administered. Results The MoCA-B has reliable internal consistency (Cronbach’s alpha = 0.74). A cutoff point of ≤ 21 points provides the best sensitivity and specificity for detection of cognitive impairment. The education variable had less impact on the total MoCA-B score than on the total MMSE score. Conclusions The MoCA-B is a suitable screening instrument for evaluating the global cognition of hemodialysis patients. The results can help health professionals to conduct evaluations and plan clinical management.
DOI: 10.6084/m9.figshare.11678637
title: Renal osteodystrophy and clinical outcomes: data from the Brazilian Registry of Bone Biopsies - REBRABO

description: ABSTRACT Introduction: Mineral and bone disorders (MBD) are major complications of chronic kidney disease (CKD)-related adverse outcomes. The Brazilian Registry of Bone Biopsy (REBRABO) is an electronic database that includes renal osteodystrophy (RO) data. We aimed to describe the epidemiological profile of RO in a sample of CKD-MBD Brazilian patients and understand its relationship with outcomes. Methods: Between August 2015 and March 2018, 260 CKD-MBD stage 3-5D patients who underwent bone biopsy were followed for 12 to 30 months. Clinical-demographic, laboratory, and histological data were analyzed. Bone fractures, hospitalizations, and death were considered the primary outcomes. Results: Osteitis fibrosa, mixed uremic osteodystrophy, adynamic bone disease, osteomalacia, osteoporosis, and aluminum (Al) accumulation were detected in 85, 43, 27, 10, 77, and 65 patients, respectively. The logistic regression showed that dialysis vintage was an independent predictor of osteoporosis (OR: 1.005; CI: 1.001-1.010; p = 0.01). The multivariate logistic regression revealed that hemodialysis treatment (OR: 11.24; CI: 1.227-100; p = 0.03), previous parathyroidectomy (OR: 4.97; CI: 1.422-17.241; p = 0.01), and female gender (OR: 2.88; CI: 1.080-7.679; p = 0.03) were independent predictors of Al accumulation; 115 patients were followed for 21 ± 5 months. There were 56 hospitalizations, 14 deaths, and 7 fractures during follow-up. The COX regression revealed that none of the variable related to the RO/turnover, mineralization and volume (TMV) classification was an independent predictor of the outcomes. Conclusion: Hospitalization or death was not influenced by the type of RO, Al accumulation, or TMV classification. An elevated prevalence of osteoporosis and Al accumulation was detected.
DOI: 10.6084/m9.figshare.11678634
title: Prediction of Mechanical and Functional Features of Aged Rubber Composites Based on BR/SBR; Structure-Properties Correlation

description: In this study, the structure-properties relationship between the thermal factors of BR/SBR blends [normalize factor h BR 100 hBR 100 − hBR x, and the maximum peak temperature difference of thermal decomposition of BR and SBR Δ T max = T max BR − T max SBR ] with their aging time (1 to 40 days) was demonstrated using DTG profile of uncured compounds. The correlation between these two thermal factors with aging time yielded a linear equation with an acceptable correlation coefficient (R2 ≥ 0.95). By the obtained linear model the aging time of rubber compounds based on BR / SBR was predicted. In the second step, the curing behavior and mechanical characteristics of tire tread formulation based on BR/SBR were forecasted using the aging time of compounds, without time-consuming and costly tests. In all cases, the accuracy and reproducibility of obtained data were evaluated.
DOI: 10.6084/m9.figshare.11678637.v1
title: Renal osteodystrophy and clinical outcomes: data from the Brazilian Registry of Bone Biopsies - REBRABO

description: ABSTRACT Introduction: Mineral and bone disorders (MBD) are major complications of chronic kidney disease (CKD)-related adverse outcomes. The Brazilian Registry of Bone Biopsy (REBRABO) is an electronic database that includes renal osteodystrophy (RO) data. We aimed to describe the epidemiological profile of RO in a sample of CKD-MBD Brazilian patients and understand its relationship with outcomes. Methods: Between August 2015 and March 2018, 260 CKD-MBD stage 3-5D patients who underwent bone biopsy were followed for 12 to 30 months. Clinical-demographic, laboratory, and histological data were analyzed. Bone fractures, hospitalizations, and death were considered the primary outcomes. Results: Osteitis fibrosa, mixed uremic osteodystrophy, adynamic bone disease, osteomalacia, osteoporosis, and aluminum (Al) accumulation were detected in 85, 43, 27, 10, 77, and 65 patients, respectively. The logistic regression showed that dialysis vintage was an independent predictor of osteoporosis (OR: 1.005; CI: 1.001-1.010; p = 0.01). The multivariate logistic regression revealed that hemodialysis treatment (OR: 11.24; CI: 1.227-100; p = 0.03), previous parathyroidectomy (OR: 4.97; CI: 1.422-17.241; p = 0.01), and female gender (OR: 2.88; CI: 1.080-7.679; p = 0.03) were independent predictors of Al accumulation; 115 patients were followed for 21 ± 5 months. There were 56 hospitalizations, 14 deaths, and 7 fractures during follow-up. The COX regression revealed that none of the variable related to the RO/turnover, mineralization and volume (TMV) classification was an independent predictor of the outcomes. Conclusion: Hospitalization or death was not influenced by the type of RO, Al accumulation, or TMV classification. An elevated prevalence of osteoporosis and Al accumulation was detected.
DOI: 10.6084/m9.figshare.11678631
title: Materials Selection Using a 2-tuple Linguistic Multi-criteria Method

description: The materials selection can affect the design component radically, with effect on the manufacturing systems efficiency, environmental impact issues, and customer satisfaction. There are different methods employed for materials selection; however, two steps are usual for most of these methods: screening and ranking. The ranking step identifies among materials candidates those that can perform the function the best as possible. Multi-criteria methods have been widely employed to materials selection, especially in the ranking step. Most of these methods take advantage of fuzzy numbers and linguistic variables to process qualitative information and information with uncertainties. One of the approaches that have been developed to solve issues related to make decisions in multi-criteria methods using linguistic information is the 2-tuple linguistic computational model. The main advantage of this approach is taking the “loss of information” away, which provides a higher precision on results. This paper aims to present a multi-criteria method for materials selection ranking step based on 2-tuple linguistic variables. The steps and several equations needed to apply the proposed method are described. Two case studies are presented and compare results with other methods to demonstrate the proposed method potential.
DOI: 10.6084/m9.figshare.11678631.v1
title: Materials Selection Using a 2-tuple Linguistic Multi-criteria Method

description: The materials selection can affect the design component radically, with effect on the manufacturing systems efficiency, environmental impact issues, and customer satisfaction. There are different methods employed for materials selection; however, two steps are usual for most of these methods: screening and ranking. The ranking step identifies among materials candidates those that can perform the function the best as possible. Multi-criteria methods have been widely employed to materials selection, especially in the ranking step. Most of these methods take advantage of fuzzy numbers and linguistic variables to process qualitative information and information with uncertainties. One of the approaches that have been developed to solve issues related to make decisions in multi-criteria methods using linguistic information is the 2-tuple linguistic computational model. The main advantage of this approach is taking the “loss of information” away, which provides a higher precision on results. This paper aims to present a multi-criteria method for materials selection ranking step based on 2-tuple linguistic variables. The steps and several equations needed to apply the proposed method are described. Two case studies are presented and compare results with other methods to demonstrate the proposed method potential.
DOI: 10.6084/m9.figshare.11678634.v1
title: Prediction of Mechanical and Functional Features of Aged Rubber Composites Based on BR/SBR; Structure-Properties Correlation

description: In this study, the structure-properties relationship between the thermal factors of BR/SBR blends [normalize factor h BR 100 hBR 100 − hBR x, and the maximum peak temperature difference of thermal decomposition of BR and SBR Δ T max = T max BR − T max SBR ] with their aging time (1 to 40 days) was demonstrated using DTG profile of uncured compounds. The correlation between these two thermal factors with aging time yielded a linear equation with an acceptable correlation coefficient (R2 ≥ 0.95). By the obtained linear model the aging time of rubber compounds based on BR / SBR was predicted. In the second step, the curing behavior and mechanical characteristics of tire tread formulation based on BR/SBR were forecasted using the aging time of compounds, without time-consuming and costly tests. In all cases, the accuracy and reproducibility of obtained data were evaluated.
DOI: 10.6084/m9.figshare.11678625
title: Automated Counting of Meloidogyne javanica Galls in Vegetable Roots

description: ABSTRACT Root-knot nematodes, genus Meloidogyne spp., are among the most destructive parasites of cultivated plants. The characteristic symptom of this disease is gall formation in the root system. Genetic resistance is one of the most efficient and economic methods of minimal environmental impact to control this endoparasite, and gall index has been used to select resistant varieties. However, this method is based on visual assessment of galls and is therefore a time-consuming and error-prone technique. Thus, this study aims to develop an automated computational method for Meloidogyne javanica gall counting. The proposed method was composed of five steps: visual counting of galls, image acquisition by a scanner, optimization of parameters based on the image group and image counting. Lettuce root showed the best results, with 1% mean relative error, while tomato root had the worst result, showing 32% mean relative error. The mean relative error for all tested roots was 13%.
DOI: 10.6084/m9.figshare.11678628
title: GC-MS-Based Metabolomic Profiles Combined with Chemometric Tools and Cytotoxic Activities of Non-Polar Leaf Extracts of Spondias mombin L. and Spondias tuberosa Arr. Cam.

description: Agroindustrial residues, such as leaves of fruit plants, can be sources of bioactive molecules, thus adding value to co-products that are rarely explored in agroindustry. In this context, this study aimed to look into the phytochemical profiles in detail and to explore the antitumor potential of S. tuberosa and S. mombin leaves. We observed that, S. tuberosa leaf extract was cytotoxic in both tumor and healthy cells. S. mombin extracts selectively inhibited cell proliferation in the tumor cell line for prostate cancer (PC3) and did not significantly affect healthy cells. The metabolic profiles of the extracts were evaluated by gas chromatography coupled with mass spectrometry and twenty-three metabolites were identified. The correlation of metabolic profiles with cytotoxic tests indicated possible chemical markers that may be responsible for the inhibition of cell proliferation. This study revealed that the unexplored co-products in agroindustry may have great therapeutic potential, and therefore should be screened for biologically active compounds.
DOI: 10.6084/m9.figshare.11678628.v1
title: GC-MS-Based Metabolomic Profiles Combined with Chemometric Tools and Cytotoxic Activities of Non-Polar Leaf Extracts of Spondias mombin L. and Spondias tuberosa Arr. Cam.

description: Agroindustrial residues, such as leaves of fruit plants, can be sources of bioactive molecules, thus adding value to co-products that are rarely explored in agroindustry. In this context, this study aimed to look into the phytochemical profiles in detail and to explore the antitumor potential of S. tuberosa and S. mombin leaves. We observed that, S. tuberosa leaf extract was cytotoxic in both tumor and healthy cells. S. mombin extracts selectively inhibited cell proliferation in the tumor cell line for prostate cancer (PC3) and did not significantly affect healthy cells. The metabolic profiles of the extracts were evaluated by gas chromatography coupled with mass spectrometry and twenty-three metabolites were identified. The correlation of metabolic profiles with cytotoxic tests indicated possible chemical markers that may be responsible for the inhibition of cell proliferation. This study revealed that the unexplored co-products in agroindustry may have great therapeutic potential, and therefore should be screened for biologically active compounds.
DOI: 10.6084/m9.figshare.11678622
title: THE 50 MOST CITED ARTICLES IN THE BRAZILIAN MEDICAL LITERATURE ON KNEE SURGERY

description: ABSTRACT Objective: To provide an analysis of the 50 most cited articles on knee surgery in the Brazilian medical literature. Methods: This is a study of systematic review and meta-analysis, level of evidence 3. It was carried out through search in the SCOPUS database to identify scientific articles published in the Brazilian medical literature. Eighty-six Brazilian journals were analyzed, and articles with ten or more citations and which had the word “joelho” or “knee” in the title, abstract or keywords were selected. Results: All articles were published as of the year 2000 in 14 journals. The Journal Clinics presented the largest number of publications, followed by Acta Ortopédica Brasileira. The main focus of the studies was on anatomy and biomechanics, mainly from Brazilian authors. Most of the authors were Brazilian, from Brazilian and public research institutions. Conclusion: Biometric analysis has been gaining ground in recent years, but its interpretation must consider various aspects related to the paramount analytical importance.
DOI: 10.6084/m9.figshare.11678625.v1
title: Automated Counting of Meloidogyne javanica Galls in Vegetable Roots

description: ABSTRACT Root-knot nematodes, genus Meloidogyne spp., are among the most destructive parasites of cultivated plants. The characteristic symptom of this disease is gall formation in the root system. Genetic resistance is one of the most efficient and economic methods of minimal environmental impact to control this endoparasite, and gall index has been used to select resistant varieties. However, this method is based on visual assessment of galls and is therefore a time-consuming and error-prone technique. Thus, this study aims to develop an automated computational method for Meloidogyne javanica gall counting. The proposed method was composed of five steps: visual counting of galls, image acquisition by a scanner, optimization of parameters based on the image group and image counting. Lettuce root showed the best results, with 1% mean relative error, while tomato root had the worst result, showing 32% mean relative error. The mean relative error for all tested roots was 13%.
DOI: 10.6084/m9.figshare.11678616
title: Early diagnosis and treatment of Leukocytoclastic Vasculitis: case report

description: Abstract A 46-year-old female patient presented at the emergency department of a Municipal University Hospital with necrotic lesions in lower limbs associated with wasting syndrome. She was diagnosed with leukocytoclastic vasculitis after physical examination and history-taking in a fast and cost-effective manner, using an algorithm specifically for primary vasculitis, enabling early and appropriate treatment. The good clinical outcome demonstrates the need to quickly make a definitive diagnosis and start treatment.
DOI: 10.6084/m9.figshare.11678622.v1
title: THE 50 MOST CITED ARTICLES IN THE BRAZILIAN MEDICAL LITERATURE ON KNEE SURGERY

description: ABSTRACT Objective: To provide an analysis of the 50 most cited articles on knee surgery in the Brazilian medical literature. Methods: This is a study of systematic review and meta-analysis, level of evidence 3. It was carried out through search in the SCOPUS database to identify scientific articles published in the Brazilian medical literature. Eighty-six Brazilian journals were analyzed, and articles with ten or more citations and which had the word “joelho” or “knee” in the title, abstract or keywords were selected. Results: All articles were published as of the year 2000 in 14 journals. The Journal Clinics presented the largest number of publications, followed by Acta Ortopédica Brasileira. The main focus of the studies was on anatomy and biomechanics, mainly from Brazilian authors. Most of the authors were Brazilian, from Brazilian and public research institutions. Conclusion: Biometric analysis has been gaining ground in recent years, but its interpretation must consider various aspects related to the paramount analytical importance.
DOI: 10.6084/m9.figshare.11678613
title: How to assess the reaction of sugarcane varieties to Puccinia kuehnii?

description: ABSTRACT Orange rust (Puccinia kuehnii) has impaired sugarcane yield in Brazil. Resistant varieties is the best method to control this disease. Nevertheless, the success of this measure is directly related to the correct evaluation of the material reaction and pathogen diversity. Disease scores and percentage of injured area are the most employed parameters to study resistance in sugarcane. The diversity of the pathogen is examined by a set of differential varieties, which is not established yet for this pathosystem. Therefore, the present study aimed to test different parameters to evaluate the reaction of commercial sugarcane varieties to P. kuehnii. Three isolates of the pathogen were employed in a single inoculation into five sugarcane varieties and their reaction was evaluated after 21, 28, 35 and 42 days, using a disease score scale. The quantity and viability of uredniospores were also assessed through two different trials, 42 days after inoculation; first trial: urediniospores from RB855156 obtained from lesions with distinct classifications: score 2 (resistant) and score 3 (susceptible); second trial: urediniospores originated from lesions with the same disease classification but from different varieties: RB855156 (susceptible) and RB975201 (resistant). Data of the present study showed that the reaction of RB855156 varied according to date of evaluation since it was resistant in the first and susceptible in the last evaluation. Moreover, the viability of urediniospores was the parameter that could best distinguish between susceptible and resistant genotypes, showing to be superior to the other parameters that have been employed, such as size, sporulating pustules and quantity of urediniospores.
DOI: 10.6084/m9.figshare.11678613.v1
title: How to assess the reaction of sugarcane varieties to Puccinia kuehnii?

description: ABSTRACT Orange rust (Puccinia kuehnii) has impaired sugarcane yield in Brazil. Resistant varieties is the best method to control this disease. Nevertheless, the success of this measure is directly related to the correct evaluation of the material reaction and pathogen diversity. Disease scores and percentage of injured area are the most employed parameters to study resistance in sugarcane. The diversity of the pathogen is examined by a set of differential varieties, which is not established yet for this pathosystem. Therefore, the present study aimed to test different parameters to evaluate the reaction of commercial sugarcane varieties to P. kuehnii. Three isolates of the pathogen were employed in a single inoculation into five sugarcane varieties and their reaction was evaluated after 21, 28, 35 and 42 days, using a disease score scale. The quantity and viability of uredniospores were also assessed through two different trials, 42 days after inoculation; first trial: urediniospores from RB855156 obtained from lesions with distinct classifications: score 2 (resistant) and score 3 (susceptible); second trial: urediniospores originated from lesions with the same disease classification but from different varieties: RB855156 (susceptible) and RB975201 (resistant). Data of the present study showed that the reaction of RB855156 varied according to date of evaluation since it was resistant in the first and susceptible in the last evaluation. Moreover, the viability of urediniospores was the parameter that could best distinguish between susceptible and resistant genotypes, showing to be superior to the other parameters that have been employed, such as size, sporulating pustules and quantity of urediniospores.
DOI: 10.6084/m9.figshare.11678616.v1
title: Early diagnosis and treatment of Leukocytoclastic Vasculitis: case report

description: Abstract A 46-year-old female patient presented at the emergency department of a Municipal University Hospital with necrotic lesions in lower limbs associated with wasting syndrome. She was diagnosed with leukocytoclastic vasculitis after physical examination and history-taking in a fast and cost-effective manner, using an algorithm specifically for primary vasculitis, enabling early and appropriate treatment. The good clinical outcome demonstrates the need to quickly make a definitive diagnosis and start treatment.
DOI: 10.6084/m9.figshare.11678604
title: Political tolerance in Brazil

description: Abstract Understanding political tolerance as one of the dimensions of a democratic political culture, the article uses a set of unpublished data produced by the Latin American Public Project to exploratively compose a general picture of this attitude in the national context. Using descriptive and multivariate analysis techniques, we identify the main groups that are the targets of Brazilian antipathy and determine the degree of tolerance towards them as well as their demographic and attitudinal bases. The results indicate that the manifestation of tolerance is a function of both social attributes (such as generation) and attitudinal ones (such as adherence to democracy and interest in politics), pointing the way to a broad agenda for future studies on the subject.