Produção Nacional
João Henrique Silva Carvalho, José Carlos Barbosa, Pedro Takao Yamamoto, IZABELA BEZZON BICALHO,
RESUMO O bicho-furão, Gymnandrosoma aurantiana (Lima, 1927), é uma das principais pragas da citricultura brasileira, pois os frutos atacados pelas lagartas tornam- ...
Tópico(s): Remote Sensing in Agriculture
2015 - Sociedade Brasileira de Fruticultura | Revista Brasileira de Fruticultura
Produção Nacional
A. Schmitt, Mario Arthur Favretto,
O furão-pequeno (Galictis cuja) é um mamífero de pequeno porte nativo da América do Sul, é considerado uma ...
Tópico(s): Fish biology, ecology, and behavior
2021 - | Revista Acta Ambiental Catarinense
Furao Shen, Akihito Sudo, Osamu Hasegawa,
An architecture for reasoning with pattern-based if–then rules is proposed. By processing patterns as real-valued vectors and classifying similar if–then rules into clusters in long-term memory, the proposed system can store pattern-based if–then rules of propositional logic, including conjunctions, disjunctions, and negations. Moreover, it achieves some important properties for intelligent systems such as incremental learning, generalization, avoidance of duplicate results, and robustness to noise. ...
Tópico(s): Fuzzy Logic and Control Systems
2009 - Elsevier BV | Neural Networks
A fast prototype-based nearest neighbor classifier is introduced. The proposed Adjusted SOINN Classifier (ASC) is based on SOINN (self-organizing incremental neural network), it automatically learns the number of prototypes needed to determine the decision boundary, and learns new information without destroying old learned information. It is robust to noisy training data, and it realizes very fast classification. In the experiment, we use some artificial datasets and real-world datasets to illustrate ...
Tópico(s): Neural Networks and Applications
2008 - Elsevier BV | Neural Networks
Self-organizing incremental neural network (SOINN) is introduced. SOINN is able to represent the topology structure of input data, incrementally learn new knowledge without destroy of learned knowledge, and process online non-stationary data. It is free of prior conditions such as a suitable network structure or network size, and it is also robust to noise. SOINN has been adapted for unsupervised learning, supervised learning, semi-supervised learning, and active learning tasks. Also, SOINN is used ...
Tópico(s): Advanced Computational Techniques and Applications
2010 - Springer Science+Business Media | Lecture notes in computer science
Furao Shen, Hui Jing Yu, Keisuke Sakurai, Osamu Hasegawa,
Tópico(s): Face and Expression Recognition
2010 - Springer Science+Business Media | Neural Computing and Applications
Furao Lai, Wen Qi-biao, Lin Li, Hui Wu, Xiaofeng Li,
Ultrasonic assisted extraction and antioxidant activity of water-soluble polysaccharide (MSP) from mung bean (Vigna radiata L.) hull were investigated. After deproteinization, MSP was isolated and purified by a DEAE-cellulose anion-exchange column and a Sephadex G-100 gel-permeation column. Two acid polysaccharide fractions, MP1 and MP2, were characterized by FT-IR, GC, and gel-permeation chromatography (GPC). Results indicated that MP1 and MP2 were acid heteropolysaccharide with 9.9% and 36.4% of ...
Tópico(s): Nanocomposite Films for Food Packaging
2010 - Elsevier BV | Carbohydrate Polymers
Xingyuan Wang, Yuanxing Wang, Jiao-Jiao Yun,
... the reconstructed images in the meanwhile. Comparing with Furao's no-search scheme, our improved scheme can ...
Tópico(s): Algorithms and Data Compression
2010 - Elsevier BV | Image and Vision Computing
Furao Shen, Tomotaka Ogura, Osamu Hasegawa,
An enhanced self-organizing incremental neural network (ESOINN) is proposed to accomplish online unsupervised learning tasks. It improves the self-organizing incremental neural network (SOINN) [Shen, F., Hasegawa, O. (2006a). An incremental network for on-line unsupervised classification and topology learning. Neural Networks, 19, 90-106] in the following respects: (1) it adopts a single-layer network to take the place of the two-layer network structure of SOINN; (2) it separates clusters with high-density ...
Tópico(s): Advanced Algorithms and Applications
2007 - Elsevier BV | Neural Networks
Youki Kamiya, Toshiaki Ishii, Shen Furao, Osamu Hasegawa,
This paper presents an online semi-supervised clustering algorithm based on a self-organizing incremental neural network (SOINN). Using labeled data and a large amount of unlabeled data, the proposed semi-supervised SOINN (ssSOINN) can automatically learn the topology of input data distribution without any prior knowledge such as the number of nodes or a good network structure; it can subsequently divide the structure into sub-structures as the need arises. Experimental results we obtained for artificial ...
Tópico(s): Face and Expression Recognition
2007 - Institute of Electrical and Electronics Engineers | IEEE International Conference on Neural Networks/IEEE ... International Conference on Neural Networks
Ye Xu, Furao Shen, Jinxi Zhao,
Tópico(s): Face and Expression Recognition
2011 - Springer Science+Business Media | Neural Computing and Applications
Yuanshan Yu, Liping Qiu, Hui Wu, Yuqian Tang, Furao Lai, Yigang Yu,
Tópico(s): Plant Disease Resistance and Genetics
2011 - Springer Science+Business Media | World Journal of Microbiology and Biotechnology
Xuli Wu, Hui Wu, Meixia Liu, Zhigang Liu, Hong Xu, Furao Lai,
The binding interaction between (−)-epigallocatechin (EGC) with bovine β-lactoglobulin (βLG) was investigated by fluorescence, circular dichroism (CD) and Fourier transform infrared (FTIR) spectroscopy methods. The binding parameters were determined by Stern–Volmer equation and the thermodynamic parameters were calculated according to the van't Hoff equation. The results suggested that βLG was bound by EGC, which resulted in change of native conformation of βLG. van der Waals interactions and hydrogen bonding ...
Tópico(s): Food Allergy and Anaphylaxis Research
2011 - Elsevier BV | Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy
Produção Nacional
Revisado por pares
Amilton César dos Santos, Bruno Machado Bertassoli, Franceliusa Delys de Oliveira, Vanessa Cristina de Oliveira Souza, Bruno Gomes Vasconcelos, Daniela Moraes de Oliveira, Diego Antonio Leão, Ana Catarina Carvalho, Celina Almeida Furlanetto Mançanares, Antônio Chaves Assis Neto,
... cães jovens, cordeiros e outros carnívoros como o furão que possuem ácinos mistos, e de alguns carnívoros, ...
Tópico(s): Comparative Animal Anatomy Studies
2011 - UNIVERSIDADE FEDERAL DE SANTA CATARINA | Biotemas
Jun Zheng, Furao Shen, Hongjun Fan, Jinxi Zhao,
Tópico(s): Text and Document Classification Technologies
2012 - Springer Science+Business Media | Neural Computing and Applications
Furao Shen, Qiubao Ouyang, Wataru Kasai, Osamu Hasegawa,
This paper proposes a general associative memory (GAM) system that combines the functions of other typical associative memory (AM) systems. The GAM is a network consisting of three layers: an input layer, a memory layer, and an associative layer. The input layer accepts key vectors, response vectors, and the associative relationships between these vectors. The memory layer stores the input vectors incrementally to corresponding classes. The associative layer builds associative relationships between ...
Tópico(s): Neural dynamics and brain function
2012 - Elsevier BV | Neurocomputing
Produção Nacional
Revisado por pares
Rosa M.S. Molina, V. Fronza, José Roberto Postali Parra,
... ser testadas em campo para controle do bicho-furão-dos-citros, havendo uma indicação de que as ...
Tópico(s): Insect Resistance and Genetics
2005 - Entomological Society of Brazil | Revista Brasileira de Entomologia
This paper presents an on-line unsupervised learning mechanism for unlabeled data that are polluted by noise. Using a similarity threshold-based and a local error-based insertion criterion, the system is able to grow incrementally and to accommodate input patterns of on-line non-stationary data distribution. A definition of a utility parameter, the error-radius, allows this system to learn the number of nodes needed to solve a task. The use of a new technique for removing nodes in low probability ...
Tópico(s): Face and Expression Recognition
2005 - Elsevier BV | Neural Networks
This study presents a new vector quantization method that generates codewords incrementally. New codewords are inserted in regions of the input vector space where the distortion error is highest until the desired number of codewords (or a distortion error threshold) is achieved. Adoption of the adaptive distance function greatly increases the proposed method's performance. During the incremental process, a removal–insertion technique is used to fine-tune the codebook to make the proposed method independent ...
Tópico(s): Digital Filter Design and Implementation
2005 - Elsevier BV | Neural Networks
A new no search fractal image coding scheme is introduced which is able to improve the speed of fractal image compression greatly. Every time-consuming part of fractal coding is redesigned and accelerated with new techniques. Compared with the most recent scheme of Tong and Wong, this method speeds up the encoding process by 22 times and maintain the compression quality. Experiments on standard images show that the proposed scheme gets the fastest speed of fractal image coding up to the present ...
Tópico(s): Chaos-based Image/Signal Encryption
2004 - Elsevier BV | Signal Processing Image Communication
Xian‐Hua Li, Wuxian Li, Peiji Chen, Xiaoqiao Wan, Gang Li, Biao Song, Jian‐Hong Jiang, Liu Jicai, De-Shun Yin, Wei Yan,
Tópico(s): High-pressure geophysics and materials
2004 - Springer Nature | Chinese Science Bulletin
Yao Ren, Hui Wu, Xiaofeng Li, Furao Lai, Xinglong Xiao,
The hydrolysate from duck egg white protein (DEWP) prepared by “SEEP–Alcalase” at degree of hydrolysis (DH) value of 21% (namely HSA21) exhibited high antioxidant capacity in different oxidation systems. A consecutive chromatographic method was then developed for separation and purification of HSA21, including ion-exchange chromatography, macroporous adsorption resin (MAR) and gel filter chromatography. The final peptides “P21-3–75-B” were obtained with significantly enhanced antioxidant activity (p < 0. ...
Tópico(s): Biochemical effects in animals
2014 - Elsevier BV | Biochemical and Biophysical Research Communications
Yao Ren, Hui Wu, Furao Lai, Meiyan Yang, Xiaofeng Li, Yuqian Tang,
An enzymatic hydrolysis approach was proposed for the preparation of bioactive hydrolysate of scorpion Buthus martensii Karsch (BmK) protein. Results showed that the anticoagulant activity of the hydrolysates of BmK protein was closely related to both the enzyme type and the degree of hydrolysis. Alcalase AF showed to be the best enzymes for the hydrolysis. And the hydrolysis degree (DH) was closely related with the anticoagulant activity of the hydrolyzate. At a DH value of 18% with Alcalase AF, ...
Tópico(s): Insect Resistance and Genetics
2014 - Elsevier BV | Food Research International
Yao Ren, Hui Wu, Xiaofeng Li, Furao Lai, Guanglei Zhao, Xinglong Xiao,
Tópico(s): Biochemical effects in animals
2013 - Springer Science+Business Media | Applied Biochemistry and Biotechnology
Kang‐Kang Li, Xi Zhang, Qin Huang, Shou‐Wei Yin, Xiao‐Quan Yang, Wen Qi-biao, Chuan‐He Tang, Furao Lai,
This study utilized a facile and continuous technique termed Flash NanoPrecipitation (FNP) to produce zein colloidal particles (ZP) without or with sodium caseinate (NaCas) as the stabilizer. The colloidal particle preparations were performed through a self-made Confined Impinge Jet (CIJ) mixer, and compared with traditional antisolvent processes. The influences of FNP processing parameters on the size of zein colloid particles, including flow rates, outlet configurations, solute concentrations and ...
Tópico(s): Surfactants and Colloidal Systems
2013 - Elsevier BV | Journal of Food Engineering
Hui Wu, Min Tian, Xiaofeng Li, Lin Li, Furao Lai, Yuqian Tang, Xihong Yang,
Two novel polysaccharide fractions, named WP1 and WP3, were extracted and purified from wampee [Clausena lansium (Lour.) Skeels] seeds. Their physicochemical properties, in vitro and in vivo antioxidant activities were investigated. Results indicated that both WP1 and WP3 were acidic heteropolysaccharides with uronic acid content of 45.35% and 56.79%, respectively. The molar ratio of rhamnose, glucuronic acid, galacturonic acid, glucose, galactose, arabinose of WP1 was 5.01:1.50:39.53:1:10.76:23.50 ...
Tópico(s): Seaweed-derived Bioactive Compounds
2013 - Elsevier BV | International Journal of Biological Macromolecules
Furao Shen, Laurent A. Décosterd, Manuel Gander, Serge Leyvraz, Jérôme Biollaz, Ferdy J. Lejeune,
As a part of a pilot clinical study, a high-performance reversed-phase liquid chromatography analysis was developed to quantify temozolomide in plasma and urine of patients undergoing a chemotherapy cycle with temozolomide. All samples were immediately stabilized with 1 M HCl (1 + 10 of biological sample), frozen and stored at −20°C prior to analysis. The clean-up procedure involved a solid-phase extraction (SPE) of clinical sample (100 μl) on a 100-mg C18-endcapped cartridge. Matrix components were eliminated ...
Tópico(s): Glioma Diagnosis and Treatment
1995 - Elsevier BV | Journal of Chromatography B Biomedical Sciences and Applications
Furao Shen, Chao Jing, Jinxi Zhao,
Forecasting exchange rates is an important financial problem. In this paper, an improved deep belief network (DBN) is proposed for forecasting exchange rates. By using continuous restricted Boltzmann machines (CRBMs) to construct a DBN, we update the classical DBN to model continuous data. The structure of DBN is optimally determined through experiments for application in exchange rates forecasting. Also, conjugate gradient method is applied to accelerate the learning for DBN. In the experiments, ...
Tópico(s): Neural Networks and Applications
2015 - Elsevier BV | Neurocomputing
Youlu Xing, Furao Shen, Jinxi Zhao,
The proposed perception evolution network (PEN) is a biologically inspired neural network model for unsupervised learning and online incremental learning. It is able to automatically learn suitable prototypes from learning data in an incremental way, and it does not require the predefined prototype number or the predefined similarity threshold. Meanwhile, being more advanced than the existing unsupervised neural network model, PEN permits the emergence of a new dimension of perception in the perception ...
Tópico(s): Metaheuristic Optimization Algorithms Research
2015 - Institute of Electrical and Electronics Engineers | IEEE Transactions on Neural Networks and Learning Systems
Yao Ren, Yu Chen, Bohan Hu, Hui Wu, Furao Lai, Xiaofeng Li,
An efficient microwave-assisted extraction (MAE) technique was applied to isolate total steroid saponins from Dioscorea zingiberensis C.H. Wright (DZW). The optimal extracting conditions were established as 75% ethanol as solvent, ratio of solid/liquid 1:20 (g/ml), temperature 75 °C, irradiation power 600 W and three extraction cycles of 6 min each. Scanning electron microscopy (SEM) images of DZW processed by four different extractions provided visual evidence of the disruption effect on DZW. Diosgenin ...
Tópico(s): Phytochemistry and Bioactive Compounds
2015 - Elsevier BV | Steroids