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Development of Junction Elements from Study of the Bionics

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Journal of Bionic Engineering 2007年第1期4卷 41-46页

作者： Wilson Kindlein junior Luis Henrique Alves Cndido André Canal marques Sandra Souza dos Santos Maurício da silva Viegas Laboratory of Design and Material Selection-LdSM-Materials Department (DEMAT) School of Engineering–EE Federal University of Rio Grande do Sul-Brazil-UFRGS Brazil

The applications of bionic methodology developed by the Laboratory of Design and Material Selection as basis in the creation of junction elements were demonstrated. These elements favor the application of Ecodesign in reference to the effectiveness of product dismount aiming the reduction of ambient impact in all its phases of use. The creation, the development and the confection of new junction elements were described, and case studies of new products developed specifically with this purpose were presented.

关键词： bionics Ecodesign junction elements

Prognosis of forest production using machine learning techniques

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Information Processing in Agriculture 2023年第1期10卷 71-84页

作者： Jeferson Pereira Martins silva Mayra Luiza marques da silva Adriano Ribeiro de Mendonca Gilson Fernandes da silva Antoˆnio Almeida de Barros junior Evandro Ferreira da silva Marcelo Otone Aguiar Jeangelis silva Santos Nı´vea Maria Mafra Rodrigues Federal University of Espirito Santo UFESDepartment of Forestry and Wood ScienceAvenue Governor Lindemberg31629550-000 Jeroˆnimo MonteiroESBrasil b Departamento de Cieˆncias Agra´riasUniversidade Federal de Sa o Joa del-Rei Sete Lagoas CampusHighway MG 424-Km 47Sete LagoasMinas Gerais 35701-970Brazil Federal University of Para(UFPA) University Campus of AltamiraStreet Cel.Jose Porfırio2515Sa o Sebastiao68372-040 AltamiraPABrazil

Forest production and growth are obtained from statistical models that allow the generation of information at the tree or forest stand *** the use of regression models is common in forest measurement,there is a constant search for estimation procedures that provide greater ***,machine learning techniques have been used with satisfactory performance in measuring ***,methods such as Adaptive NeuroFuzzy Inference System(ANFIS)and Random Forest are relatively poorly studied for predicting the volume of wood in eucalyptus plantations in ***,it is essential to check whether these techniques can provide gains in terms of ***,this study aimed to evaluate the use of Random Forest and ANFIS techniques in the prognosis of forest *** data used come from continuous forest inventories carried out in stands of eucalyptus *** data were divided into 70%for training and 30%for *** algorithms used to generate rules in ANFIS were Subtractive Clustering and ***,training was done with the hybrid algorithm(descending gradient and least squares)with the number of seasons ranging from 1 to *** RFs were trained,varying the number of trees from 50 to 850 and the number of observations by five leaves to *** neural networks and decision trees were also trained to compare the feasibility of the *** evaluation of the estimates generated by the techniques for training and validation was calculated based on the following statistics:correlation coefficient(r),relative Bias(RB),and the relative root mean square error(RRMSE)in *** general,the techniques studied in this work showed excellent performance for the training and validation data set with RRMSE values*** RF presented inferior statistics about the ANFIS for the prognosis of forest *** Subtractive Clustering(SC)and Fuzzy-C-Means(FCM)algorithms provide accurate baseline

关键词： Artificial Intelligence Ensemble Learning Forest Measurement Forest inventory Artificial Neural Networks Regression

Morphological and Optical Characterizations of CaAl2O4 Doped with Trivalent Praseodymium

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Journal of Chemistry and Chemical Engineering 2015年第8期9卷 514-516页

作者： Valeria Rejane silva Brito Raquel Jovita dos Santos Paulo Neilson marques dos Anjos Severino Alves junior Laboratory for Research and Innovation of Advanced Materials State University of Santa Cruz llheus Bahi 45662900 Brazil Department of Fundamental Chemistry Federal University of Pernambuco Recife Pernambuco 50670901 Brazil

This work was synthesized CaAl2O4 （calcium aluminate） doped with trivalent praseodymium ions. CaAl2O4 with praseodymium 1.0% and 0.5% were synthesized. The powders of aluminates were characterized by scanning electron microscopy and luminescence ***2O4, praseodymium ions, luminescence doped with praseodymium ion that showed less porosity in its grain structure and luminescent transitions that are dependent on the wavelengths of excitation and showing both types of transitions both 5d-4f and 4f-4f.

关键词： CaAl2O4 praseodymium ions luminescence

Association between Frailty Syndrome and Anemia in Community-Dwelling Elderly

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Advances in Aging Research 2019年第5期8卷 75-87页

作者： Elisa Priscila Sousa de Assis Barbara Gazolla de Macêdo Thais Almeida marques da silva Poliana de Paula Dias Rezende érica Leandro Marciano Vieira Antonio Lucio Teixeira junior Carlos Maurício de Figueiredo Antunes Laboratório de Epidemiologia Programa de Pós-gradua&#231 o Stricto Sensu em Medicina e Biomedicina Instituto de Ensino e Pesquisa da Santa Casa de Belo Horizonte Belo Horizonte Brasil Fundaç o Hospitalar do Estado de Minas Gerais (FHEMIG) Hospital Regional de Barbacena Fisioterapia Respiratória Barbacena Brasil Departamento de Fisioterapia Instituto da Previdência dos Servidores do Estado de Minas Gerais (IPSEMG) Belo Horizonte Brasil Laboratório Interdisciplinar de Investigaç o Médica Faculdade de Medicina Universidade Federal de Minas Gerais (UFMG) Belo Horizonte Brasil Centre of Addiction and Mental Health (CAMH) Toronto Canada

Frailty is an important and complex phenomenon in the fields of geriatrics and gerontology and a highly relevant topic. Frailty syndrome (FS) is a multidimensional clinical condition characterized by loss of physiological and cognitive reserves across multiple organ systems. The Fried frailty phenotype is the main model used to categorize FS. Recent studies have shown an association between anemia, low hemoglobin concentration and frailty. This study aimed to assess the association between FS and anemia in community-dwelling elderly. An observational cross-sectional design was used, with 308 elderly subjects. Most participants were women (78.2%) between 60 and 69 years old (50.6%). The average schooling level was 9.7 years. Anemia was detected in 9.7% of participants. The frequency of frailty, pre-frailty and non-frailty was 8.2, 74.0 and 17.8%, respectively. The multivariate ordinal logistic regression model identified low levels of brain-derived neurotrophic factor (BDNF) (OR = 0.9, 95% CI = 0.9;0.9) as risk factor associated with FS. No significant association was found between frailty and anemia. Moreover, FS may be influenced by low schooling levels, despite the non-significant result obtained in the statistical model. These findings contribute to elucidating other factors associated with FS, especially in community-dwelling elderly.

关键词： Anemia Frailty Elderly

Use of Silicon in Mitigating Ammonium Toxicity in Maize Plants

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American Journal of Plant Sciences 2015年第11期6卷 1780-1784页

作者： Cid Naudi silva Campos Renato de Mello Prado Cassiano Garcia Roque Antonio Joao de Lima Neto Luiz junior Pereira marques Aridênia Peixoto Chaves Claudia Amaral Cruz Department of Soils and Fertilizers Universidade Estadual Paulista/FCAV Jaboticabal Brazil Department of Soils and Fertilizers Universidade Estadual Paulista/FCAV Jaboticabal Brazil Universidade Federal de Mato Grosso do Sul Chapad&atildeo do Sul Brazil Universidade Federal de Viçosa Vi&ccedilosa Brazil Department of Applied Biology and Agriculture Universidade Estadual Paulista/FCAV Jaboticabal Brazil Department of Plant Science Universidade Federal Rural do Semi-árido Mossoró Brazil M.Sc. in Agronomy Natal Brazil

Silicon is a beneficial element that can mitigate abiotic stresses, such as ammonium toxicity. The objective herein was to evaluate the effects of silicon (Si) on mitigating toxicity caused by excess ammonium in maize plants grown in nutrient solution. An experiment was conducted with maize plants (cultivar DKB 390 VT Pro II) grown in a greenhouse in pots (8 L) in a hydroponic system. The treatments were arranged in a 2 × 2 factorial, consisting of two ammonium concentrations (30 and 60 mmol·L-1) in the absence and presence of Si (10 mmol·L-1), arranged in a completely randomized design with six repetitions. At 28 days after applying the treatments the dry mass of shoots and roots was evaluated, along with accumulation of silicon and nitrogen in the shoots. The use of silicon resulted in increases in the studied variables, regardless of ammonium concentrations. Silicon reduced the effect of toxicity caused by ammonium excess in maize plants, resulting in greater growth and dry matter accumulation.

关键词： Zea mays L. Beneficial Element Nitrogen Nutritional Disorder Abiotic Stress

Active Alumni in Electrical Engineering Extracurricular Activities： Innovation and Social Responsibility

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Journal of Mechanics Engineering and Automation 2017年第2期7卷 107-112页

作者： Andre Bezerra de Freitas Diniz Bruna Luisa Martins Barbosa Dennyson Eliseu Araujo Santos, Max Rodrigues marques Victor Matheus de Camara silva Department of Electrical Engineering UFRN Natal Brazil

The project analyzes the student＇s participation in complementary activities such as Education Tutorial Program, junior Company and Academic Center. These organizations have the goal to improve, expand and connect knowledge learned during classes with several practical activities. They can provide a huge integration between the students and the professors in order to achieve better results in the pedagogical, structural and organizational parts of an engineering major degree. Therefore, the project goes through the impact of each entity in the student＇s life and the advantages to professional future, focusing the presence of these organizations in the Electrical Engineering Course of Federal University of Rio Grande do Norte.

关键词： Complementary activities education tutorial program junior course academic center electrical engineering

Accuracy of gestalt perception of acute chest pain in predicting coronary artery disease

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World Journal of Cardiology 2017年第3期9卷 241-247页

作者： Cláudio Marcelo Bittencourt das Virgens Laudenor Lemos Jr Márcia Noya-Rabelo Manuela Campelo Carvalhal Antonio Maurício dos Santos Cerqueira junior Fernanda Oliveira de Andrade Lopes Nicole Cruz de Sá Jéssica Gonzalez Suerdieck Thiago Menezes Barbosa de Souza Vitor Calixto de Almeida Correia Gabriella Sant’Ana Sodré AndréBarcelos da silva Felipe Kalil Beirao Alexandre Felipe Rodrigues marques Ferreira Luís Cláudio Lemos Correia Department of Cardiology Hospital Sao Rafael Department of Cardiology Hospital Português Bahiana School of Medicine and Public Health

AIM To test accuracy and reproducibility of gestalt to predict obstructive coronary artery disease(CAD)in patients with acute chest *** We studied individuals who were consecutively admitted to our Chest Pain *** admission,investigators performed a standardized interview and recorded14 chest pain *** on these features,a cardiologist who was blind to other clinical characteristics made unstructured judgment of CAD probability,both numerically and *** the reference standard for testing the accuracy of gestalt,angiography was required to rule-in CAD,while either angiography or non-invasive test could be used to *** order to assess reproducibility,a second cardiologist did the same *** In a sample of 330 patients,the prevalence of obstructive CAD was 48%.Gestalt’s numerical probability was associated with CAD,but the area under the curve of0.61(95%CI:0.55-0.67)indicated low level of ***,categorical definition of typical chest pain had a sensitivity of 48%(95%CI:40%-55%)and specificity of 66%(95%CI:59%-73%),yielding a negligible positive likelihood ratio of 1.4(95%CI:0.65-2.0)and negative likelihood ratio of 0.79(95%CI:0.62-1.02).Agreement between the two cardiologists was poor in the numerical classification(95%limits of agreement=-71%to 51%)and categorical definition of typical pain(Kappa=0.29;95%CI:0.21-0.37).CONCLUSION Clinical judgment based on a combination of chest pain features is neither accurate nor reproducible in predicting obstructive CAD in the acute setting.

关键词： Acute chest pain Clinical judgment Gestalt Coronary artery disease Acute coronary syndrome