WorldWideScience

Sample records for banana predictions based

  1. Prediction of textural attributes using color values of banana (Musa sapientum) during ripening.

    Science.gov (United States)

    Jaiswal, Pranita; Jha, Shyam Narayan; Kaur, Poonam Preet; Bhardwaj, Rishi; Singh, Ashish Kumar; Wadhawan, Vishakha

    2014-06-01

    Banana is an important sub-tropical fruit in international trade. It undergoes significant textural and color transformations during ripening process, which in turn influence the eating quality of the fruit. In present study, color ('L', 'a' and 'b' value) and textural attributes of bananas (peel, fruit and pulp firmness; pulp toughness; stickiness) were studied simultaneously using Hunter Color Lab and Texture Analyser, respectively, during ripening period of 10 days at ambient atmosphere. There was significant effect of ripening period on all the considered textural characteristics and color properties of bananas except color value 'b'. In general, textural descriptors (peel, fruit and pulp firmness; and pulp toughness) decreased during ripening except stickiness, while color values viz 'a' and 'b' increased with ripening barring 'L' value. Among various textural attributes, peel toughness and pulp firmness showed highest correlation (r) with 'a' value of banana peel. In order to predict textural properties using color values of banana, five types of equations (linear/polynomial/exponential/logarithmic/power) were fitted. Among them, polynomial equation was found to be the best fit (highest coefficient of determination, R(2)) for prediction of texture using color properties for bananas. The pulp firmness, peel toughness and pulp toughness showed R(2) above 0.84 with indicating its potentiality of the fitted equations for prediction of textural profile of bananas non-destructively using 'a' value. PMID:24876653

  2. Prediction of banana quality indices from color features using support vector regression.

    Science.gov (United States)

    Sanaeifar, Alireza; Bakhshipour, Adel; de la Guardia, Miguel

    2016-01-01

    Banana undergoes significant quality indices and color transformations during shelf-life process, which in turn affect important chemical and physical characteristics for the organoleptic quality of banana. A computer vision system was implemented in order to evaluate color of banana in RGB, L*a*b* and HSV color spaces, and changes in color features of banana during shelf-life were employed for the quantitative prediction of quality indices. The radial basis function (RBF) was applied as the kernel function of support vector regression (SVR) and the color features, in different color spaces, were selected as the inputs of the model, being determined total soluble solids, pH, titratable acidity and firmness as the output. Experimental results provided an improvement in predictive accuracy as compared with those obtained by using artificial neural network (ANN). PMID:26653423

  3. Predicting the Benefits of Banana Bunchy Top Virus Exclusion from Commercial Plantations in Australia

    Science.gov (United States)

    Cook, David C.; Liu, Shuang; Edwards, Jacqueline; Villalta, Oscar N.; Aurambout, Jean-Philippe; Kriticos, Darren J.; Drenth, Andre; De Barro, Paul J.

    2012-01-01

    Benefit cost analysis is a tried and tested analytical framework that can clearly communicate likely net changes in producer welfare from investment decisions to diverse stakeholder audiences. However, in a plant biosecurity context, it is often difficult to predict policy benefits over time due to complex biophysical interactions between invasive species, their hosts, and the environment. In this paper, we demonstrate how a break-even style benefit cost analysis remains highly relevant to biosecurity decision-makers using the example of banana bunchy top virus, a plant pathogen targeted for eradication from banana growing regions of Australia. We develop an analytical approach using a stratified diffusion spread model to simulate the likely benefits of exclusion of this virus from commercial banana plantations over time relative to a nil management scenario in which no surveillance or containment activities take place. Using Monte Carlo simulation to generate a range of possible future incursion scenarios, we predict the exclusion benefits of the disease will avoid Aus$15.9-27.0 million in annual losses for the banana industry. For these exclusion benefits to be reduced to zero would require a bunchy top re-establishment event in commercial banana plantations three years in every four. Sensitivity analysis indicates that exclusion benefits can be greatly enhanced through improvements in disease surveillance and incursion response. PMID:22879960

  4. Storage stability of banana chips in polypropylene based nanocomposite packaging films

    OpenAIRE

    Manikantan, M. R.; Sharma, Rajiv; Kasturi, R.; Varadharaju, N.

    2012-01-01

    In this study, polypropylene (PP) based nanocomposite films of 15 different compositions of nanoclay, compatibilizer and thickness were developed and used for packaging and storage of banana chips. The effect of nanocomposite films on the quality characteristics viz. moisture content (MC), water activity (WA), total color difference(TCD), breaking force (BF), free fatty acid (FFA), peroxide value(PV), total plate count (TPC) and overall acceptability score of banana chips under ambient condit...

  5. 33 CFR 334.560 - Banana River at Patrick Air Force Base, Fla.; restricted area.

    Science.gov (United States)

    2010-07-01

    ... 33 Navigation and Navigable Waters 3 2010-07-01 2010-07-01 false Banana River at Patrick Air Force Base, Fla.; restricted area. 334.560 Section 334.560 Navigation and Navigable Waters CORPS OF ENGINEERS, DEPARTMENT OF THE ARMY, DEPARTMENT OF DEFENSE DANGER ZONE AND RESTRICTED AREA REGULATIONS § 334.560...

  6. Social Interactions in Growing Bananas

    DEFF Research Database (Denmark)

    Van Den Broeck, Katleen; Dercon, Stefan

    This paper analyses whether agricultural information flows give rise to social learning effects in banana cultivation in Nyakatoke, a small Tanzanian village. Based on a village census, full information is available on socio-economic characteristics and banana production of farmer kinship members...... effects that produce positive externalities in banana output...

  7. In vitro digestibility of nutrients in bananas and in vivo digestibility, effectiveness of nitrogen use in pig’s diets based on green and ripe bananas

    OpenAIRE

    Nguyen Cong, Oanh; Tran, Hiep; Le Huu, Hieu; Bindelle, Jérôme; Thewis, André; Vu Dinh, Ton

    2013-01-01

    The study was conducted to assess the nutritional value, in vitro digestibility and in vivo digestibility in growing pigs offered diets containing 15% green and ripe bananas in meal form. Results showed that dry matter content (DM,%) in banana fruit (at green, semi-ripe, ripe stages), banana flower and stem were 13.77, 12.59, 14.10, 7.53 and 7.83% respectively; Gross energy of bananas are from 3734 to 4115 kcal/kg DM; CP and NDF content of green banana were higher than that of semi-ripe and r...

  8. Worldwide geographical distribution of Black Sigatoka for banana: predictions based on climate change models Distribuição geográfica da Sigatoka Negra da bananeira estimada por modelos de mudanças climáticas globais

    Directory of Open Access Journals (Sweden)

    Waldir Cintra de Jesus Júnior

    2008-12-01

    research were to compare the global geographical distribution of the disease based on maps elaborated using weather data representing: i current and future periods (2020, 2050 and 2080, ii Intergovernmental Panel on Climate Change scenarios A2 and B2, iii predictions based on six different climate change models and the " multimodel ensemble" and, iv individual months. The " multimodel ensemble" lead to a reduction in the variability of the simulations when compared to the results obtained using the individual models separately. The predictions suggested that, in the future, areas favorable for the development of the Black Sigatoka disease will decrease. This reduction will occur gradually and will be higher for the A2 than for the B2 scenario. Changes in the geographical distribution of the disease will occur from one month to another, with unfavorable areas becoming favorable and vice-versa. However, in spite of these changes, extensive areas will still continue to be favorable for the occurrence of Black Sigatoka.

  9. Banana Cakes

    Institute of Scientific and Technical Information of China (English)

    1998-01-01

    Ingredients: Two bananas, 50 grams of preserved fruits, 25 grams sesame seeds, 10 grams glutinous rice powder,white sugar,oil. Method: 1. Chop the preserved fruits and mix them well with vegetable oil. white sugar and sesame. 2. Mash the bananas into a paste and mix it with

  10. CHARACTERIZATION OF MALAYSIAN WILD BANANAS BASED ON ANTHOCYANINS

    Directory of Open Access Journals (Sweden)

    MUHAMMAD ASIF JAVED

    2001-01-01

    Full Text Available The male buds of 16 Musa species (Musaceae populations were investigated by HPLC for the occurrence of anthocyanins. The investigation was based on the presence of 6 anthocyanins. The 16 Musa samples could be classified into three distinct species i.e. Musa acuminata, Musa violascens and Musa balbisiana. Musa acuminata could be divided into two subspecies : malaccensis (lowland and tmncata (highland according to their constituents and content of major anthocyanins. No variation was observed in the composition of the anthocyanins of Kedah type ssp. siamea and Selangor types ssp. malaccensis. The classification of M. acuminata into two subspecies based on anthocyanin data further supported the current taxonomic grouping of the species.

  11. CHARACTERIZATION OF MALAYSIAN WILD BANANAS BASED ON ANTHOCYANINS

    OpenAIRE

    MUHAMMAD ASIF JAVED; MAK CHAI; ROFINA YASMIN OTHMAN

    2001-01-01

    The male buds of 16 Musa species (Musaceae) populations were investigated by HPLC for the occurrence of anthocyanins. The investigation was based on the presence of 6 anthocyanins. The 16 Musa samples could be classified into three distinct species i.e. Musa acuminata, Musa violascens and Musa balbisiana. Musa acuminata could be divided into two subspecies : malaccensis (lowland) and tmncata (highland) according to their constituents and content of major anthocyanins. No variation was ob...

  12. Ex-Ante Adoption of New Cooking Banana (Matooke) Hybrids in Uganda Based on Farmers' Perceptions

    OpenAIRE

    Kenneth, Akankwasa; Gerald, Ortmann; Edilegnaw, Wale; Wilberforce, Tushemereirwe

    2012-01-01

    ABSTRACT Despite the research efforts to introduce the newly developed, improved banana ’Matooke’ hybrids to the farming communities in Uganda, to date no attempt has been made to document the likelihood of farmer adoption of these hybrid bananas in Uganda. The paper has analyzed farmers’ perceptions regarding the newly developed improved Matooke hybrid banana attributes in Uganda to ex ante understand farmers’ likelihood of adoption of these varieties. Descriptive statistics and data reducti...

  13. Banana technology

    Science.gov (United States)

    van Amstel, Willem D.; Schellekens, E. P. A.; Walravens, C.; Wijlaars, A. P. F.

    1999-09-01

    With 'Banana Technology' an unconventional hybrid fabrication technology is indicated for the production of very large parabolic and hyperbolic cylindrical mirror systems. The banana technology uses elastic bending of very large and thin glass substrates and fixation onto NC milled metal moulds. This technology has matured during the last twenty years for the manufacturing of large telecentric flat-bed scanners. Two construction types, called 'internal banana' and 'external banana; are presented. Optical figure quality requirements in terms of slope and curvature deviations are discussed. Measurements of these optical specifications by means of a 'finishing rod' type of scanning deflectometer or slope tester are presented. Design constraints for bending glass and the advantages of a new process will be discussed.

  14. Marketing of banana and banana products in Uganda: Results of a rapid rural appraisal

    OpenAIRE

    Digges, Philip

    1994-01-01

    This report concerns a survey undertaken by NRI in Uganda during September and December 1993, which sought to characterise the banana and banana beer marketing systems. The study follows on from the recommendations of the Banana Based Cropping System Rapid Rural Appraisal (1991), and focuses upon the Kampala market.

  15. Hyperspectral Surface Analysis for Ripeness Estimation and Quick UV-C Surface Treatments for Preservation of Bananas

    Science.gov (United States)

    Zhao, W.; Yang, Zh.; Chen, Zh.; Liu, J.; Wang, W. Ch.; Zheng, W. Yu.

    2016-05-01

    This study aimed to determine the ripeness of bananas using hyperspectral surface analysis and how a rapid UV-C (ultraviolet-C light) surface treatment could reduce decay. The surface of the banana fruit and its stages of maturity were studied using a hyperspectral imaging technique in the visible and near infrared (370-1000 nm) regions. The vselected color ratios from these spectral images were used for classifying the whole banana into immature, ripe, half-ripe and overripe stages. By using a BP neural network, models based on the wavelengths were developed to predict quality attributes. The mean discrimination rate was 98.17%. The surface of the fresh bananas was treated with UV-C at dosages from 15-55 μW/cm2. The visual qualities with or without UV-C treatment were compared using the image, the chromatic aberration test, the firmness test and the area of black spot on the banana skin. The results showed that high dosages of UV-C damaged the banana skin, while low dosages were more efficient at delaying changes in the relative brightness of the skin. The maximum UV-C treatment dose for satisfactory banana preservation was between 21 and 24 μW/cm2. These results could help to improve the visual quality of bananas and to classify their ripeness more easily.

  16. Research on Risks and Forecasting Countermeasures of Hainan Banana Industry

    OpenAIRE

    Liu, Yan-qun; Zeng, Xiao-hong; Fang, Jia

    2011-01-01

    Based on the overviews of the current conditions of Hainan banana industry, the research makes an analysis of the risks faced by Hainan banana industry. They are respectively marketing risks, natural risks, information risks and production risks. In order to promote a sustainable and rapid development of Hainan banana industry, Countermeasures are proposed in the research. The first is to strengthen the leading organization of forecasting mechanisms on banana industry. The second is to establ...

  17. Substitution of corn and soybean with green banana fruits and Gliricidia sepium forage in sheep fed hay-based diets: effects on intake, digestion and growth.

    Science.gov (United States)

    Archimède, H; González-García, E; Despois, P; Etienne, T; Alexandre, G

    2010-02-01

    This study aimed to evaluate the substitution of imported corn and soybean by local feed resources from tropical production settings such as entire green banana and Gliricidia sepium forage as energy and protein sources, respectively, in sheep diets. Two experiments were conducted: first, a 'growth trial' and second, an in vivo digestion study. In the 'growth trial', 40 Martinik lambs [body weight (BW): 29.4 +/- 3.6 kg; 6 months old) were used and distributed into four groups of 10 lambs each according to treatment: HBGl (banana + gliricidia at low level; 1500 g/day; 119 g/kg BW(0.75)), HBGh (banana + gliricidia at high level; 3000 g/day; 238 g/kg BW(0.75)), HBS (banana + soybean cake) and Control (corn + soybean cake). In digestion trial, four Martinik rams (BW: 57.2 +/- 3.45 kg) fitted with ruminal and duodenal cannulae were used; treatments (HBG, HBS and Control) were similar but adjusted to metabolic body weight (MW) and just one level of gliricidia was used. Intake, average daily gain (ADG), feed intake to gain index (F:G), apparent total and ruminal digestibilities as well as nitrogen balance, microbial efficiency and volatile fatty acid (VFA) profile were monitored. Lambs fed HBGh had greater dry matter (DM) intake based on MW and ADG (173 g/day vs. 141 g/day; p banana or corn + soybean cake (687 g/kg DM and 658 g/kg DM, respectively). Ruminal DM and OM digestibilities did not differ among treatments. Total or individual VFA concentrations were also not influenced by the diet. Higher (p = 0.006) ruminal fluid pH values were recorded for diets combining banana and gliricidia (6.54) or banana and soybean (6.39) until 3 h after a meal. As all animals on gliricidia- and banana-supplemented diets gained weight and maintained a positive N balance, it is concluded that green banana and gliricidia forage may be a viable alternative to replace conventional energy and protein supplements in sheep diets.

  18. Ionic liquid based dispersive liquid-liquid microextraction for the extraction of pesticides from bananas.

    Science.gov (United States)

    Ravelo-Pérez, Lidia M; Hernández-Borges, Javier; Asensio-Ramos, María; Rodríguez-Delgado, Miguel Angel

    2009-10-23

    This paper describes a dispersive liquid-liquid microextraction (DLLME) procedure using room temperature ionic liquids (RTILs) coupled to high-performance liquid chromatography with diode array detection capable of quantifying trace amounts of eight pesticides (i.e. thiophanate-methyl, carbofuran, carbaryl, tebuconazole, iprodione, oxyfluorfen, hexythiazox and fenazaquin) in bananas. Fruit samples were first homogenized and extracted (1g) with acetonitrile and after suitable evaporation and reconstitution of the extract in 10 mL of water, a DLLME procedure using 1-hexyl-3-methylimidazolium hexafluorophosphate ([C(6)MIM][PF(6)]) as extraction solvent was used. Experimental conditions affecting the DLLME procedure (sample pH, sodium chloride percentage, ionic liquid amount and volume of disperser solvent) were optimized by means of an experimental design. In order to determine the presence of a matrix effect, calibration curves for standards and fortified banana extracts (matrix matched calibration) were studied. Mean recovery values of the extraction of the pesticides from banana samples were in the range of 69-97% (except for thiophanate-methyl and carbofuran, which were 53-63%) with a relative standard deviation lower than 8.7% in all cases. Limits of detection achieved (0.320-4.66 microg/kg) were below the harmonized maximum residue limits established by the European Union (EU). The proposed method, was also applied to the analysis of this group of pesticides in nine banana samples taken from the local markets of the Canary Islands (Spain). To the best of our knowledge, this is the first application of RTILs as extraction solvents for DLLME of pesticides from samples different than water. PMID:19700165

  19. Research on Risks and Forecasting Countermeasures of Hainan Banana Industry

    Institute of Scientific and Technical Information of China (English)

    2011-01-01

    Based on the overviews of the current conditions of Hainan banana industry,the research makes an analysis of the risks faced by Hainan banana industry.They are respectively marketing risks,natural risks,information risks and production risks.In order to promote a sustainable and rapid development of Hainan banana industry,countermeasures are proposed in the research.The first is to strengthen the leading organization of forecasting mechanisms on banana industry.The second is to establish the forecasting mechanisms on banana industry,including four aspects.They are establishing the subordinate forecasting systems on Hainan banana industry;constructing information collecting and checking mechanisms of banana industry;establishing information analysis and decision-making systems and constructing information distribution and information sharing systems.The third is to promote the construction of urgency dealing abilities of banana industry.The fourth is to further perfect the risk-defending and protecting systems of banana industry in Hainan.The fifth is to accelerate the standard generation of banana to improve marketing competence.The sixth is to accelerate the development of intermediate agents to improve the organization degrees.And the last one is to put emphasis on the tech-training courses on banana planting and production to improve the technical quality of banana industry.

  20. 基于椭圆傅里叶描述子的香蕉形状识别%Banana shape recognition based on elliptic Fourier descriptor

    Institute of Scientific and Technical Information of China (English)

    胡孟晗; 董庆利; 刘宝林; 张重阳; 叶飞

    2014-01-01

    In this paper , a method based on computer vision and elliptic Fourier descriptor ( EFD) was developed to recognize the banana shape .The number of banana with shapes of the curved , slightly curved , end-straight and straight was 107 , and the bananas were previously indentified by the experts .Subsequently , the boundary chain codes of the pre-processed images of these bananas were obtained for extracting the elliptic Fourier coefficients .The suitable number of coefficients was determined by comparing the original and reconstructed banana shape , and then the principal component analysis was used to reduce the number of non-negative coefficients .Finally, the classifica-tion was achieved by the fuzzy C-means clustering .The results demonstrated that this machine method could be ap-plied for banana shape identification in practice .This study provided a technological means for the value increase of banana and its secondary products , and also might be the basis of realizing the shape recognition of banana hand and bunch in the future .%为实现香蕉形状的识别,文章提出了一种基于计算机视觉和椭圆傅里叶描述子的形状识别方法。先由专家挑选果指果形为弯、微弯、末端直和直的香蕉共107枚,再获取预处理后图像的边界链码并提取其椭圆傅里叶系数,通过比较原形状和重建形状来选取合适的系数个数,然后用主成分分析对非负系数进行降维,最后进行模糊C均值聚类。研究结果表明,可以将该机器识别方法应用于香蕉形状的识别,为实现香蕉及其深加工产品的增值提供了一种技术手段,并为进一步实现香蕉果把和果穗的形状识别奠定了基础。

  1. Let's Go Bananas.

    Science.gov (United States)

    Brown, Helen; And Others

    1995-01-01

    Presents a hands-on primary science unit of activities designed to teach students concepts about bananas. Real bananas are used as students investigate and use the process skills of observation, measurement, and communication. Using bananas as a theme, science, mathematics, social studies, music, and writing are integrated into the curriculum of…

  2. Effect of fermented Banana peel on Broiler Carcass

    Directory of Open Access Journals (Sweden)

    Koni TNI

    2013-06-01

    Full Text Available This experiment was conducted to examine effect of inclusion of fermented banana peel by Rhyzopus oligosporus in diets on slaughter weight, carcass weight and carcass percentage, weight and percentage abdominal fat of broiler. The experiment was done based on Completely Randomized Design with four treatments and four replications and each replication consisted of six chickens. The treatment were R0 = without banana peel fermented, R1 = 5% banana peel fermented, R2 = 10% banana peel fermented, R3 = 15% banana peel fermented. Data of the experiment were analyzed, using ANOVA and then continued with Duncan's Multiple Range Test. Result showed that level of fermented banana peel affected slaughter weight and carcass weight. However carcass persentage, weight and percentage of abdominal fat was not affected by treatment. Banana peel fermented by Rhizopus oligosporus could can be used maximally 10% in broiler ration.

  3. A Preliminary Study of Banana Stem Juice as a Plant-Based Coagulant for Treatment of Spent Coolant Wastewater

    OpenAIRE

    Habsah Alwi; Juferi Idris; Mohibah Musa; Ku Halim Ku Hamid

    2013-01-01

    The effectiveness of banana stem juice as a natural coagulant for treatment of spent coolant wastewater was investigated . Three main parameters were studied, namely, chemical oxygen demand (COD), suspended solids (SSs), and turbidity of effluent. Coagulation experiments using jar test were performed with a flocculation system where the effects of spent coolant wastewater pH as well as banana stem juice dosage on coagulation effectiveness were examined. The highest recorded COD, SS, and turbi...

  4. 基于PLC的香蕉秸秆切片机的优化设计%Optimization Design of Banana Straw Slicing Machine based on PLC

    Institute of Scientific and Technical Information of China (English)

    龙光涛

    2015-01-01

    在传统香蕉秸秆切片机的基础上设计一种以PLC数字控制系统为核心技术的全自动控制系统,该系统主要是通过液压驱动系统实现进给、传送、切削等操作,达到连续切片的要求,同时通过PLC技术对液压驱动系统实现调节传送距离、进给量以及控制系统的启动、停止等过程,达到香蕉秸秆切片机全自动控制的效果. 此系统的应用不仅能够提高香蕉秸秆切片机工作的效率,满足香蕉秸秆生产需求,提高香蕉秸秆再利用率,同时对降低劳动力,提高香蕉产业的经济效益和社会效益也尤为重要.%An automatic control system of the core technology of PLC digital control system based on the traditional banana straw slicing machine was designed. The system is mainly through the hydraulic drive system to achieve feeding, transmis-sion, cutting and other operations to achieve the requirements of continuous slicing, and through the PLC technology to achieve the hydraulic drive system to adjust the transmission distance, feed rate and control system to start, stop and other processes, to achieve the full automatic control of banana straw. The application of this system can not only improve the effi-ciency of banana straw slicing machine, meet the needs of banana straw production, improve the utilization rate of banana straw, but also reduce the labor force, improve the economic benefit and social benefit of banana industry.

  5. Drying characteristics and quality of bananas under infrared radiation heating

    Science.gov (United States)

    Hot air (HA) drying of banana has low drying efficiency and results in undesirable product quality. The objectives of this research were to investigate the feasibility of infrared (IR) heating to improve banana drying rate, evaluate quality of the dried product, and establish models for predicting d...

  6. Bananas go paraelectric

    Energy Technology Data Exchange (ETDEWEB)

    Loidl, A; Krohns, S; Hemberger, J; Lunkenheimer, P [Experimental Physics V, Center for Electronic Correlations and Magnetism, University of Augsburg, 86159 Augsburg (Germany)], E-mail: peter.lunkenheimer@physik.uni-augsburg.de

    2008-05-14

    Using a banana as an example, we demonstrate how the ferroelectric-like hysteresis loops measured in inhomogeneous, conducting materials can easily be identified as non-intrinsic. With simple experiments, the response of a banana to electric fields is revealed as characteristic for an inhomogeneous paraelectric ion conductor. Not even absolute beginners in dielectrics should identify this biological matter as ferroelectric. (viewpoint)

  7. Anaphylaxis caused by banana.

    Science.gov (United States)

    Savonius, B; Kanerva, L

    1993-04-01

    An anaphylactic reaction following ingestion of banana occurred in a 32-year-old female cook. The sensitization to banana occurred simultaneously with the development of occupational asthma caused by grain flour. The patient was sensitized to a wide range of airborne and ingestible proteins but not to rubber latex. PMID:8506993

  8. A Preliminary Study of Banana Stem Juice as a Plant-Based Coagulant for Treatment of Spent Coolant Wastewater

    Directory of Open Access Journals (Sweden)

    Habsah Alwi

    2013-01-01

    Full Text Available The effectiveness of banana stem juice as a natural coagulant for treatment of spent coolant wastewater was investigated . Three main parameters were studied, namely, chemical oxygen demand (COD, suspended solids (SSs, and turbidity of effluent. Coagulation experiments using jar test were performed with a flocculation system where the effects of spent coolant wastewater pH as well as banana stem juice dosage on coagulation effectiveness were examined. The highest recorded COD, SS, and turbidity removal percentages by banana stem juice were 80.1%, 88.6%, and 98.5%, respectively, observed for effluent at pH 7 using 90 mL dosage. The inulin concentration in the banana stem was examined to be 1.22016 mg/mL. It could be concluded that banana stem juice showed tremendous potential as a natural coagulant for water treatment purposes and could be applied in the pretreatment stage of Malaysian spent coolant wastewater prior to secondary treatment.

  9. ECONOMIC ANALISYS OF A COFFEE-BANANA SYSTEM OF A FAMILY-BASED AGRICULTURE AT THE ATLANTIC FOREST ZONE, BRAZIL

    Directory of Open Access Journals (Sweden)

    Elaine Ponciano Alves

    2015-06-01

    Full Text Available Agroforestry systems can reduce the risks of investing in just one crop. However, there are uncertainties like other agricultural and forestry activities. Therefore, there is the need for economic studies under conditions of economic risk of agroforestry systems. This work reports an analysis of the main components of costs and revenues of an agroforestry system with coffee and banana, as well as an analysis of its economic performance through indicators: net present value, equivalent period benefit (or cost, family labor revenue and a sensitivity analysis of net present value. The main cost components in the system are the human labor and mineral and organic fertilizers applied in coffee, and the costs for the production of coffee outweigh the costs of banana production. The monthly income from the production of bananas balances the costs of coffee production, generating a positive cash flow in the studied period. Financial indicators showed positive values, demonstrating the economic viability of the system with coffee and banana. The agroforestry system is economically feasible, even with variations of ± 20% in production costs and selling prices of their products. Variables that showed greater sensitivity on the net present value were the selling price of coffee and bananas, and the cost of coffee production.

  10. Remote quality monitoring in the banana chain.

    Science.gov (United States)

    Jedermann, Reiner; Praeger, Ulrike; Geyer, Martin; Lang, Walter

    2014-06-13

    Quality problems occurring during or after sea transportation of bananas in refrigerated containers are mainly caused by insufficient cooling and non-optimal atmospheric conditions, but also by the heat generated by respiration activity. Tools to measure and evaluate these effects can largely help to reduce losses along the banana supply chain. The presented green life model provides a tool to predict the effect of deviating temperature, relative humidity, and CO2 and O2 gas concentrations on the storage stability of bananas. A second thermal model allows evaluation of the cooling efficiency, the effect of changes in packaging and stowage and the amount of respiration heat from the measured temperature curves. Spontaneous ripening causes higher respiration heat and CO2 production rate. The resulting risk for creation of hot spots increases in positions in which the respiration heat exceeds the available cooling capacity. In case studies on the transport of bananas from Costa Rica to Europe, we validated the models and showed how they can be applied to generate automated warning messages for containers with reduced banana green life or with temperature problems and also for remote monitoring of the ripening process inside the container.

  11. Remote quality monitoring in the banana chain.

    Science.gov (United States)

    Jedermann, Reiner; Praeger, Ulrike; Geyer, Martin; Lang, Walter

    2014-06-13

    Quality problems occurring during or after sea transportation of bananas in refrigerated containers are mainly caused by insufficient cooling and non-optimal atmospheric conditions, but also by the heat generated by respiration activity. Tools to measure and evaluate these effects can largely help to reduce losses along the banana supply chain. The presented green life model provides a tool to predict the effect of deviating temperature, relative humidity, and CO2 and O2 gas concentrations on the storage stability of bananas. A second thermal model allows evaluation of the cooling efficiency, the effect of changes in packaging and stowage and the amount of respiration heat from the measured temperature curves. Spontaneous ripening causes higher respiration heat and CO2 production rate. The resulting risk for creation of hot spots increases in positions in which the respiration heat exceeds the available cooling capacity. In case studies on the transport of bananas from Costa Rica to Europe, we validated the models and showed how they can be applied to generate automated warning messages for containers with reduced banana green life or with temperature problems and also for remote monitoring of the ripening process inside the container. PMID:24797132

  12. Degradation of Methyldopa by Banana

    OpenAIRE

    Kiminori Mohri; Yoshihiro Uesawa

    2010-01-01

    Methyldopa, an antihypertensive, is a very close analogue of DOPA. Drug interaction accompanied by degradation in a banana juice mixture was reported for DOPA. However, the effect of banana on methyldopa has not been reported. Therefore, we have investigated the impact of banana juice on methyldopa. The drug and supernatant of banana pulp were mixed, and the mixture was observed for changes in color, drug concentration, and ultraviolet-visible absorption spectra at 30 °C. The originally clear...

  13. Going Bananas over The Rainforest

    Science.gov (United States)

    Curriculum Review, 2005

    2005-01-01

    With a market of nearly $5 billion a year, the banana is the world's most popular fruit, and the most important food crop after rice, wheat, and maize. Banana businesses are economic pillars in many tropical countries, providing millions of jobs for rural residents. But, for much of its history, the banana industry was notorious for destructive…

  14. Potential of visible-near infrared spectroscopy combined with chemometrics for analysis of some constituents of coffee and banana residues.

    Science.gov (United States)

    Rambo, M K D; Amorim, E P; Ferreira, M M C

    2013-05-01

    Banana (stalk, leaf, rhizome, rachis and stem) and coffee (leaf and husks) residues are promising feedstock for fuel and chemical production. In this work we show the potential of near-infrared spectroscopy (NIR) and multivariate analysis to replace reference methods in the characterization of some constituents of coffee and banana residues. The evaluated parameters were Klason lignin (KL), acid soluble lignin (ASL), total lignin (TL), extractives, moisture, ash and acid insoluble residue (AIR) contents of 104 banana residues (B) and 102 coffee (C) residues from Brazil. PLS models were built for banana (B), coffee (C) and pooled samples (B+C). The precision of NIR methodology was better (p0.80. The range error ratios varied from 4.5 to 16.0. Based on the results of external validation, the statistical tests and figures of merit, NIR spectroscopy proved to be useful for chemical prediction of banana and coffee residues and can be used as a faster and more economical alternative to the standard methodologies.

  15. The radurisation of bananas

    International Nuclear Information System (INIS)

    Early studies on the radurisation of bananas indicated that this commodity did not benefit substantially from the treatment. This work, which was carried out at Pelindaba, indicated a low threshold dose for radiation damage and little shelf-life extension at this dose. In a second study carried out at Tzaneen more promising results were obtained. The reason for the differences seemed to be due to the time between harvesting and treatment which was much shorter in the Tzaneen study. Consequently it was decided to undertake a third and much larger trial in which the bananas would be treated in Tzaneen and then dispatched to Pretoria for storage and evaluation by a joint Nucor/Banana Board team. Parameters investigated included colour, firmness (by penatrometer testing) and sensory qualities. The bananas were stored for various periods at 15o C, ripened by exposure to ethylene gas under commerical conditons and then stored at ambient temperature for the remainder of the experiment. Bananas we re irradiated at various doses between 0,3 kGy and 1,5kGy and were compared with control batches which were stored under the same conditions

  16. Design, Construction and Performance Evaluation of a Metal Oxide Semiconductor (MOS Based Machine Olfaction (Electronic Nose for Monitoring of Banana Ripeness

    Directory of Open Access Journals (Sweden)

    A Sanaeifar

    2016-04-01

    Full Text Available Aroma is one of the most important sensory properties of fruits and is particularly sensitive to the changes in fruit compounds. Gases involved in aroma of fruits are produced from the metabolic activities during ripening, harvest, post-harvest and storage stages. Therefore, the emitted aroma of fruits changes during the shelf-life period. The electronic nose (machine olfaction would simulate the human sense of smell to identify and realize the complex aromas by using an array of chemical sensors. In this research, a low cost electronic nose based on six metal oxide semiconductor (MOS sensors were designed, developed and implemented and its ability for monitoring changes in aroma fingerprint during ripening of banana was studied. The main components are used in the e-nose system include sampling system, an array of gas sensors, data acquisition system and an appropriate pattern recognition algorithm. Linear Discriminant Analysis (LDA technique was used for classification of the extracted features of e-nose signals. Based on the results, the classification accuracy of 97/3% was obtained. Results showed the high ability of e-nose for distinguishing between the stages of ripening. It is concluded that the system can be considered as a nondestructive tool for quality control during banana shelf-life.

  17. Fusarium Wilt of Banana.

    Science.gov (United States)

    Ploetz, Randy C

    2015-12-01

    Banana (Musa spp.) is one of the world's most important fruits. In 2011, 145 million metric tons, worth an estimated $44 billion, were produced in over 130 countries. Fusarium wilt (also known as Panama disease) is one of the most destructive diseases of this crop. It devastated the 'Gros Michel'-based export trades before the mid-1900s, and threatens the Cavendish cultivars that were used to replace it; in total, the latter cultivars are now responsible for approximately 45% of all production. An overview of the disease and its causal agent, Fusarium oxysporum f. sp. cubense, is presented below. Despite a substantial positive literature on biological, chemical, or cultural measures, management is largely restricted to excluding F. oxysporum f. sp. cubense from noninfested areas and using resistant cultivars where the pathogen has established. Resistance to Fusarium wilt is poor in several breeding targets, including important dessert and cooking cultivars. Better resistance to this and other diseases is needed. The history and impact of Fusarium wilt is summarized with an emphasis on tropical race 4 (TR4), a 'Cavendish'-killing variant of the pathogen that has spread dramatically in the Eastern Hemisphere.

  18. Fusarium Wilt of Banana.

    Science.gov (United States)

    Ploetz, Randy C

    2015-12-01

    Banana (Musa spp.) is one of the world's most important fruits. In 2011, 145 million metric tons, worth an estimated $44 billion, were produced in over 130 countries. Fusarium wilt (also known as Panama disease) is one of the most destructive diseases of this crop. It devastated the 'Gros Michel'-based export trades before the mid-1900s, and threatens the Cavendish cultivars that were used to replace it; in total, the latter cultivars are now responsible for approximately 45% of all production. An overview of the disease and its causal agent, Fusarium oxysporum f. sp. cubense, is presented below. Despite a substantial positive literature on biological, chemical, or cultural measures, management is largely restricted to excluding F. oxysporum f. sp. cubense from noninfested areas and using resistant cultivars where the pathogen has established. Resistance to Fusarium wilt is poor in several breeding targets, including important dessert and cooking cultivars. Better resistance to this and other diseases is needed. The history and impact of Fusarium wilt is summarized with an emphasis on tropical race 4 (TR4), a 'Cavendish'-killing variant of the pathogen that has spread dramatically in the Eastern Hemisphere. PMID:26057187

  19. Fighting Baddies and Collecting Bananas: Teachers' Perceptions of Games-Based Literacy Learning

    Science.gov (United States)

    Gerber, Hannah R.; Price, Debra P.

    2013-01-01

    This paper discusses how practicing teachers conceptualize commercial off the shelf (COTS) videogames within classroom-based English language arts instruction. Understanding how today's teachers perceive virtual worlds and videogames as an instructional tool for schema building within literacy development will help researchers better understand…

  20. New microsatellite markers for bananas (Musa spp).

    Science.gov (United States)

    Amorim, E P; Silva, P H; Ferreira, C F; Amorim, V B O; Santos, V J; Vilarinhos, A D; Santos, C M R; Souza Júnior, M T; Miller, R N G

    2012-04-27

    Thirty-four microsatellite markers (SSRs) were identified in EST and BAC clones from Musa acuminata burmannicoides var. Calcutta 4 and validated in 22 Musa genotypes from the Banana Germplasm Bank of Embrapa-CNPMF, which includes wild and improved diploids. The number of alleles per locus ranged from 2 to 14. The markers were considered highly informative based on their polymorphism information content values; more than 50% were above 0.5. These SSRs will be useful for banana breeding programs, for studies of genetic diversity, germplasm characterization and selection, development of saturated genetic linkage maps, and marker assisted selection.

  1. 基于单片机控制的香蕉秸秆粉碎机的设计%Research of Banana Stalk Crusher Based on Single Chip Microcomputer Control

    Institute of Scientific and Technical Information of China (English)

    张慧; 张燕

    2014-01-01

    In the production process of the banana planting , rational utilization of banana straw has become an important part of the banana industry , scale development .Banana planting industry in our country has been using the traditional manual processing of straw , which is a very hard work ,which requires a lot of manpower and greatly reduce the labor in-tensity of workers and improve the production efficiency .Therefore , there will be designed to provide a banana stalk crusher and a kind of efficient , practical set cutting , crushing one .The machine based on single chip microcomputer is full automatic control ,pressure sensor and step motor to realize the reasonable step motion , can better solve the problem of banana stalk crushing .%在香蕉种植生产过程中,香蕉秸秆的合理利用成为了香蕉产业化、规模化发展的重要组成部分。我国香蕉种植业一直采用传统的人工方式处理秸秆,既耗费大量的人力物力,又大大降低了生产效率且工人劳动强度高。为此,设计一种效率较高、实用性较强的集切割、粉碎一体的香蕉秸秆粉碎机。该机械基于单片机进行全程自动控制,压力传感器与步进电机合理配合实现各运动,能较好地解决香蕉秸秆粉碎的处理问题。

  2. 基于单片机控制的自动香蕉秸秆粉碎机研究%Research of Automatic Banana Straw Pulverizer Based on Single Chip Microcomputer

    Institute of Scientific and Technical Information of China (English)

    杨冬进; 张燕; 喻晓; 马兆玉

    2014-01-01

    Banana stalks as the main byproduct of bananas , has been treated as waste , not only didn't get reasonable use , but also caused the pollution of the environment .So far , and use of banana straw is still in the more primitive is in-efficient stage , greatly restricted the banana leaf by-products industry the development of industrialization and commer-cialization .Therefore , this project will design a practical , high efficiency of the banana straw pulverized , the machine is based on 51 single chip microcomputer automatic control , coupled with the hydraulic system and step motor to cooperate with each other can well solve the dehydration of banana straw crushing processing problem .%香蕉秸秆作为主要的香蕉副产品,一直被当作废弃物,不仅没有得到合理的利用,而且还造成了环境污染。至今为止,对香蕉秸秆的利用仍停留在较原始、较低效的阶段,极大地制约了香蕉茎叶副产物产业化、商品化的发展。为此,设计了一种实用性强、效率较高的香蕉秸秆粉碎机,可基于单片机进行全自动控制,设计的液压系统与步进电机相互配合能较好地解决香蕉秸秆破碎处理的问题。

  3. Research of Banana Stalk Crusher Based on Single Chip Microcomputer Control%基于单片机控制的香蕉秸秆粉碎机的设计

    Institute of Scientific and Technical Information of China (English)

    张慧; 张燕

    2014-01-01

    In the production process of the banana planting , rational utilization of banana straw has become an important part of the banana industry , scale development .Banana planting industry in our country has been using the traditional manual processing of straw , which is a very hard work ,which requires a lot of manpower and greatly reduce the labor in-tensity of workers and improve the production efficiency .Therefore , there will be designed to provide a banana stalk crusher and a kind of efficient , practical set cutting , crushing one .The machine based on single chip microcomputer is full automatic control ,pressure sensor and step motor to realize the reasonable step motion , can better solve the problem of banana stalk crushing .%在香蕉种植生产过程中,香蕉秸秆的合理利用成为了香蕉产业化、规模化发展的重要组成部分。我国香蕉种植业一直采用传统的人工方式处理秸秆,既耗费大量的人力物力,又大大降低了生产效率且工人劳动强度高。为此,设计一种效率较高、实用性较强的集切割、粉碎一体的香蕉秸秆粉碎机。该机械基于单片机进行全程自动控制,压力传感器与步进电机合理配合实现各运动,能较好地解决香蕉秸秆粉碎的处理问题。

  4. Suitability Analysis and Projected Climate Change Impact on Banana and Coffee Production Zones in Nepal

    Science.gov (United States)

    Sujakhu, Nani M.; Merz, Juerg; Kindt, Roeland; Xu, Jianchu; Matin, Mir A.; Ali, Mostafa; Zomer, Robert J.

    2016-01-01

    The Government of Nepal has identified opportunities in agricultural commercialization, responding to a growing internal demand and expansion of export markets to reduce the immense trade deficit. Several cash crops, including coffee and bananas, have been identified in the recently approved Agriculture Development Strategy. Both of these crops have encouraged smallholder farmers to convert their subsistence farming practices to more commercial cultivation. Identification of suitable agro-ecological zones and understanding climate-related issues are important for improved production and livelihoods of smallholder farmers. Here, the suitability of coffee and banana crops is analyzed for different agro-ecological zones represented by Global Environmental Stratification (GEnS). Future shifts in these suitability zones are also predicted. Plantation sites in Nepal were geo-referenced and used as input in species distribution modelling. The multi-model ensemble model suggests that climate change will reduce the suitable growing area for coffee by about 72% across the selected emission scenarios from now to 2050. Impacts are low for banana growing, with a reduction in suitability by about 16% by 2050. Bananas show a lot of potential for playing an important role in Nepal as a sustainable crop in the context of climate change, as this study indicates that the amount of area suited to banana growing will grow by 40% by 2050. Based on our analysis we recommend possible new locations for coffee plantations and one method for mitigating climate change-related problems on existing plantations. These findings are expected to support planning and policy dialogue for mitigation and support better informed and scientifically based decision-making relating to these two crops. PMID:27689354

  5. Beyond the double banana

    DEFF Research Database (Denmark)

    Rosenzweig, Ivana; Fogarasi, András; Johnsen, Birger;

    2014-01-01

    performance was compared with the double banana (longitudinal bipolar montage, 10-20 array). RESULTS: Adding the inferior temporal electrode chain, computed montages (reference free, common average, and source derivation), and voltage maps significantly increased the sensitivity. Phase maps had the highest...

  6. The "Blue Banana" Revisited

    NARCIS (Netherlands)

    Faludi, A.K.F.

    2015-01-01

    This essay is about the “Blue Banana”. Banana is the name given subsequently by others to a Dorsale européenne (European backbone) identified empirically by Roger Brunet. In a background study to the Communication of the European Commission ‘Europe 2000’, Klaus Kunzmann and Michael Wegener put forwa

  7. Prototheca associated with banana.

    Science.gov (United States)

    Pore, R S

    1985-06-01

    Prototheca stagnora was found to be a habitant of older harvested banana (Musa sapientum) and plantain (M. paradisiaca) stumps while P. wickerhamii colonized fresh Musa sp. stumps and flower bract water of Heliconia sp. While Prototheca sp. were known to habituate woody plants, this is the first evidence that herbaceous plants also serve as habitats.

  8. Prototheca associated with banana.

    Science.gov (United States)

    Pore, R S

    1985-06-01

    Prototheca stagnora was found to be a habitant of older harvested banana (Musa sapientum) and plantain (M. paradisiaca) stumps while P. wickerhamii colonized fresh Musa sp. stumps and flower bract water of Heliconia sp. While Prototheca sp. were known to habituate woody plants, this is the first evidence that herbaceous plants also serve as habitats. PMID:4033739

  9. Mapping Banana Plants from High Spatial Resolution Orthophotos to Facilitate Plant Health Assessment

    Directory of Open Access Journals (Sweden)

    Kasper Johansen

    2014-09-01

    Full Text Available The Banana Bunchy Top Virus (Genus: Babuvirus reduces plant growth and prevents banana production. Because of the very large number of properties with banana plants in South East Queensland, Australia, a mapping approach was developed to delineate individual and clusters of banana plants to help plant identification and enable prioritization of plant inspections for Banana Bunchy Top Virus. Due to current outbreaks in South East Queensland, there are concerns that the virus may spread to the major banana growing districts further north. The mapping approach developed was based on very high spatial resolution airborne orthophotos. Object-based image analysis was used to: (1 detect banana plants using edge and line detection approaches; (2 produce accurate and realistic outlines around classified banana plants; and (3 evaluate the mapping results. The mapping approach was developed based on 10 image tiles of 1 km × 1 km and was applied to orthophotos (3600 image tiles from September 2011 covering the entire Sunshine Coast Region in South East Queensland. Based on field inspections of the classified maps, a user’s mapping accuracy of 88% (n = 146 was achieved. The results will facilitate the detection of banana plants and increase the inspection rate of Banana Bunchy Top Virus in the future.

  10. A workflow for peptide-based proteomics in a poorly sequenced plant: A case study on the plasma membrane proteome of banana

    DEFF Research Database (Denmark)

    Vertommen, A.; Laurell Blom Møller, Anders; Cordewener, J. H. G.;

    2011-01-01

    for membrane proteomics. However, their application in non-model plants demands special precautions to prevent false positive identification of proteins.In the current paper, a workflow for membrane proteomics in banana, a poorly sequenced plant, is proposed. The main steps of this workflow are (i......, integral plasma membrane proteins from banana leaves were successfully identified....

  11. Prediction based on mean subset

    DEFF Research Database (Denmark)

    Øjelund, Henrik; Brown, P. J.; Madsen, Henrik;

    2002-01-01

    Shrinkage methods have traditionally been applied in prediction problems. In this article we develop a shrinkage method (mean subset) that forms an average of regression coefficients from individual subsets of the explanatory variables. A Bayesian approach is taken to derive an expression of how...... the coefficient vectors from each subset should be weighted. It is not computationally feasible to calculate the mean subset coefficient vector for larger problems, and thus we suggest an algorithm to find an approximation to the mean subset coefficient vector. In a comprehensive Monte Carlo simulation study......, it is found that the proposed mean subset method has superior prediction performance than prediction based on the best subset method, and in some settings also better than the ridge regression and lasso methods. The conclusions drawn from the Monte Carlo study is corroborated in an example in which prediction...

  12. MORPHOLOGICAL CHARACTERIZATION OF MALAYSIAN WILD BANANA MUSA ACUMINATA

    OpenAIRE

    MUHAMMAD ASIF JAVED; MAK CHAI; ROFINA YASMIN OTHMAN

    2002-01-01

    Fourteen populations of Musa acuminata ranging from populations in the lowlands of northern (ssp. siamea) to central Malaysian region (ssp. malaccensis) and highland banana (ssp. truncata) were characterized based on chromosome number and 46 morphological characters. A large amount of variation was observed within the populations. However, only highland bananas appeared morphologically distinct. Lowland populations both from northern and central Malaysia were found to be overlapping a...

  13. Banana Gold: Problem or Solution?

    Science.gov (United States)

    Joseph, Garnet

    1992-01-01

    Since 1955, the British banana industry has dominated the lives of the Caribs and other peoples in Dominica. Banana growing supplants other economic activities, including local food production; toxic chemicals and fertilizers pollute the land; community is dwindling; suicide is common; and child labor diminishes school attendance. (SV)

  14. Banana Dehydration Utilizing Infrared Radiation

    Science.gov (United States)

    The enzyme of polyphenol oxidase (PPO) has been found to be the main cause of browning in bananas. Infrared radiation (IR) drying could be used to minimize biochemical degradation hence eliminating the need for pre-treatments. This study was to investigate quality characteristics of bananas dried ...

  15. [Climatic risk zoning for banana and litchi's chilling injury in South China].

    Science.gov (United States)

    Li, Na; Huo, Zhi-guo; He, Nan; Xiao, Jing-jing; Wen, Quan-pei

    2010-05-01

    Based on the 1951-2006 climatic observation data from 224 meteorological stations in South China (Guangdong Province, Guangxi Autonomous Region, and Fujian Province) and the historical information about the chilling injury losses of banana and litchi, the accumulated harmful chilling for the processes with minimum daily temperature banana and litchi's chilling injury were drawn, and the spatial variation of climatic risk for banana and litchi's chilling injury was commented. The results indicated that in the study area, climate warming might lead to the decrease of cold resistance of banana and litchi, which could increase the disaster risk of chilling injury. The geographical distribution of climatic risk probability for banana and litchi's chilling injury showed a zonal pattern. According to the integrated climatic risk index, the banana and litchi's chilling injury region was divided into three risk types, i.e., high risk, moderate risk, and low risk, which provided an important basis for the adjustment of agricultural production structure.

  16. A Comparative study Of Catalityc Activity Of Heterogeneous Base Of Banana Stem Ash And Fly Ash On Production Of Biodiesel Byultrasonic

    Directory of Open Access Journals (Sweden)

    Marlinda

    2015-08-01

    Full Text Available Abstract The use of heterogeneous catalysts in the production of biodiesel provides many advantages due to heterogeneous catalysts can be easily separated from the product so that it can be reused. This research using heterogeneous catalysts derived from natural materials namely banana stem ash and coal fly ash containing alkali and alkaline earth elements. The preparation of catalyst from banana stem ash and coal fly ash used activator KOH 1.9 N and impregnation with KNO3 15 and then heated to a temperature of 550 0C for 3 hours. Results of preparation banana stem ash contains potassium of 36.52 and surface area of 41.901 m2g. This work presents the effect of ultrasonic assisted of waste cooking oil with methanol as solvent using banana stem ash and coal fly ash as catalyst. The diameter of catalyst particles of banana stem ash and coal fly ash varied at 50 100 150 200 and 250 mesh. The transesterification reaction was performed in the presence of ultrasonic operating frequency constant at 40 kHz methanol molar ratio to oil of 9 1 and reaction time of 30 minutes. The methyl ester biodiesel content of product was 93.26 of banana stems ash and 57 of coal fly ash respectively. The physical property was compared with the National Indonesia Standard SNI 2006 with a density viscosity cloud point flash point and cetane number.

  17. Elucidating the resistance response of irradiated banana cv. Lakatan to banana bunchy top virus (BBTV) infection transmitted by the banana aphid Pentalonia nigronervosa Coquerol

    International Nuclear Information System (INIS)

    Development of banana bunchy top virus (BBTV)-resistant banana variety Lakatan through gamma-irradiation had been successfully done as part of integrated management strategies against the disease. Ten irradiated Lakatan lines exhibited resistance to BBTV. Resistance of these lines was evaluated based on symptomatology and host-virus relationship. Insect colony development on Lakatan banana irradiated lines was monitored by artificially inoculating viruliferous banana aphids, Pentalonia nigronervosa, and counting the resulting number of aphids per plant at weekly intervals. Resistance to virus multiplication of Lakatan irradiated lines was characterized by quantifying the virus titer through Enzyme-Linked Immunosorbent Assay (ELISA). Results showed that not all lines were suitable as hosts in establishing aphid population. The reaction of the mutant lines to the vector and the pathogen varied to some extent. Disease incidence in some cases was correlated with aphid preference. Disease incidence was significantly higher (50%) on lines that were preferred by aphids and lower (50%) in those that were not colonized. Some mutant lines with very low aphid colony count, however showed high BBTV incidence. Variability in the results could be affected by other factors such as the developmental stage of the plant and prevailing environmental conditions during the conduct of the experiment. Virus titer was also reduced on these mutant lines, thus reduced virus multiplication. Non-irradiated (control) Lakatan banana had comparably high population of aphids, high disease incidence, and high virus titer

  18. 基于产量的海南省香蕉寒害风险分析与区划%Cold-damage risk analysis and division of banana production in Hainan Province of South China based on yield

    Institute of Scientific and Technical Information of China (English)

    蔡大鑫; 王春乙; 张京红; 刘少军

    2013-01-01

    根据海南省1990-2010年的香蕉产量数据,采用线性滑动平均、回归分析、信息扩散等方法,建立了香蕉理论收获面积模型,实现了寒害与其他气象灾害减产率的分离,构建了香蕉产量寒害危险性评价模型,结合地区间种植规模的差异,开展了海南省香蕉产量寒害风险区划.结果表明:海南省香蕉产量寒害危险性较高的区域主要存在于北部、中部和西部,其中儋州的危险等级为全岛最高,南部、东南部和西南部的危险性较低;种植规模较大的地区主要分布在北部和西部的沿海市县;风险以低级别为主,五指山的风险最高,澄迈、海口和昌江略低,东部沿海地区和南部三亚的风险最低,基本不受寒害影响.%Based on the banana production data of Hainan Province in 1990-2010,and by using the methods of linear moving average,regression analysis,and information diffusion,a model for calculating the theoretical harvest area of banana was developed,which could distinguish the relative contribution of cold weather hazard to the reduction rate of banana yield from other weather hazards.Then,the model of the cold-damage risk assessment for banana production was developed,and the risk division of banana production in Hainan Province was conducted.The results showed that the higher dangerous regions of banana cold-damage were located in the north,middle,and west parts of Hainan Island,and the danger rank was the highest in Danzhou.The lower hazard areas were mainly located in the south,southeast,and southwest parts.However,banana was widely planted in the northern and western coastal cities/counties.In most parts,the cold-damage risk was at low level.The risk was the highest in Wuzhishan,followed by in Chengmai,Haikou and Changjiang,and the lowest in east coastal areas and Sanya,where the banana production was almost not affected by cold weather hazard.

  19. PREDICCIÓN DEL RENDIMIENTO DE UN CULTIVO DE PLÁTANO MEDIANTE REDES NEURONALES ARTIFICIALES DE REGRESIÓN GENERALIZADA // PREDICTION OF THE YIELD OF BANANA CROP BY MEANS OF A GENERALIZED REGRESSION ARTIFICIAL NEURAL NETWORK

    Directory of Open Access Journals (Sweden)

    Rita Ávila de Hernández

    2012-06-01

    Full Text Available Banana is an important crop in Latin America, for both large scale and small farmers. In Venezuela, the main production centers are in the area of Sur del Lago de Maracaibo. Knowing the crop yield is vital due to the need to maximize the investment-pro_t, and availability of such information in advance helps in the decision-making process of the production unit. The purpose of this research is to evaluate the ability of artificial neural networks to predict the yield of a banana crop, employing the best predictors dataset, given the physical characteristics of the soil and the chemical profile of leaf tissue. Generalized regression networks trained with the leave-one-out strategy, and two types of data transformations were used in this study. It was found that neural networks were excellent tools for predicting the yield of banana crop. The physicochemical profiles of soil and leaf tissue were suitable descriptors of the response variable. Among the data evaluated in this study, it was found that the physical data of 20-40 cm of soil was, after standardization of the training data, the best predictor group. // RESUMEN: El plátano es un cultivo importante en Latinoamérica, tanto a gran escala como para pequeños hacendados. En Venezuela, los principales centros productivos están en la zona del Sur del Lago de Maracaibo. Conocer el rendimiento de un cultivo obedece a la necesidad de maximizar la relación inversión-ganancia y la disponibilidad de esa información, con anticipación, permite tomar decisiones sobre el manejo de una plantación. La finalidad de esta investigación es evaluar la capacidad de las redes neuronales artificiales para predecir el rendimiento de un cultivo de plátano, empleando para ello el mejor grupo de datos predictores, determinado entre las características físicas del suelo y el perfil químico del tejido foliar. Se emplean redes de regresión generalizada y la estrategia leave-one-out, así como dos tipos de

  20. Pervaporation of ethanol produced from banana waste.

    Science.gov (United States)

    Bello, Roger Hoel; Linzmeyer, Poliana; Franco, Cláudia Maria Bueno; Souza, Ozair; Sellin, Noeli; Medeiros, Sandra Helena Westrupp; Marangoni, Cintia

    2014-08-01

    Banana waste has the potential to produce ethanol with a low-cost and sustainable production method. The present work seeks to evaluate the separation of ethanol produced from banana waste (rejected fruit) using pervaporation with different operating conditions. Tests were carried out with model solutions and broth with commercial hollow hydrophobic polydimethylsiloxane membranes. It was observed that pervaporation performance for ethanol/water binary mixtures was strongly dependent on the feed concentration and operating temperature with ethanol concentrations of 1-10%; that an increase of feed flow rate can enhance the permeation rate of ethanol with the water remaining at almost the same value; that water and ethanol fluxes was increased with the temperature increase; and that the higher effect in flux increase was observed when the vapor pressure in the permeate stream was close to the ethanol vapor pressure. Better results were obtained with fermentation broth than with model solutions, indicated by the permeance and membrane selectivity. This could be attributed to by-products present in the multicomponent mixtures, facilitating the ethanol permeability. By-products analyses show that the presence of lactic acid increased the hydrophilicity of the membrane. Based on this, we believe that pervaporation with hollow membrane of ethanol produced from banana waste is indeed a technology with the potential to be applied.

  1. Attitudes, perceptions, and trust. Insights from a consumer survey regarding genetically modified banana in Uganda

    NARCIS (Netherlands)

    Kikulwe, E.M.; Wesseler, J.H.H.; Falck-Zepeda, J.

    2011-01-01

    Genetically modified (GM) crops and food are still controversial. This paper analyzes consumers’ perceptions and institutional awareness and trust toward GM banana regulation in Uganda. Results are based on a study conducted among 421 banana-consuming households between July and August 2007. Results

  2. Image analysis to evaluate the browning degree of banana (Musa spp.) peel.

    Science.gov (United States)

    Cho, Jeong-Seok; Lee, Hyeon-Jeong; Park, Jung-Hoon; Sung, Jun-Hyung; Choi, Ji-Young; Moon, Kwang-Deog

    2016-03-01

    Image analysis was applied to examine banana peel browning. The banana samples were divided into 3 treatment groups: no treatment and normal packaging (Cont); CO2 gas exchange packaging (CO); normal packaging with an ethylene generator (ET). We confirmed that the browning of banana peels developed more quickly in the CO group than the other groups based on sensory test and enzyme assay. The G (green) and CIE L(∗), a(∗), and b(∗) values obtained from the image analysis sharply increased or decreased in the CO group. And these colour values showed high correlation coefficients (>0.9) with the sensory test results. CIE L(∗)a(∗)b(∗) values using a colorimeter also showed high correlation coefficients but comparatively lower than those of image analysis. Based on this analysis, browning of the banana occurred more quickly for CO2 gas exchange packaging, and image analysis can be used to evaluate the browning of banana peels.

  3. Within-plant distribution and binomial sampling of Pentalonia nigronervosa (Hemiptera: Aphididae) on banana.

    Science.gov (United States)

    Robson, Jacqueline D; Wright, Mark G; Almeida, Rodrigo P P

    2006-12-01

    The banana aphid, Pentalonia nigronervosa Coquerel (Hemiptera: Aphididae), infests banana (Musa spp.) worldwide. Pentalonia nigronervosa is the vector of Banana bunchy top virus (family Nanoviridae, genus Babuvirus) the etiological agent of Banana bunchy top disease (BBTD). BBTD is currently the most serious problem affecting banana in Hawaii. Despite the importance of this vector species, little is known about its biology or ecology. There are also no sampling plans available for P. nigronervosa. We conducted field surveys to develop a sampling plan for this pest. Ten plots were surveyed on seven commercial banana farms on the island of Oahu, HI, for the presence of P. nigronervosa on banana plantlets. We found aphids more frequently near the base of plants, followed by the newest unfurled leaf at the top of the plant. Aphids were least likely to be located on leaves in between the top and bottom of the plant. Aphid infestation on surveyed plots ranged from 8 to 95%. We developed a sequential binomial sampling plan based on our surveys. We also discovered that the within-plant distribution of P. nigronervosa is an important factor to consider when sampling for this pest. Our sampling plan will assist in the development of sustainable management practices for banana production.

  4. Study on Banana Cooperatives in Hainan Province

    OpenAIRE

    Huang, Huide; ZHANG, Wanzhen; Liu, Enping; Zhang, Xizhu

    2013-01-01

    This paper gives an overview of the distribution, member scale, production and operation of banana cooperatives in Hainan Province, and points out the market risk and natural risk faced by the production of banana cooperatives in Hainan Province. In order to promote the banana cooperatives to form new agricultural management system integrating organization and intensification, this paper puts forth the production and operation recommendations, such as joint production of banana cooperatives, ...

  5. Absorption and metabolism of formaldehyde in solutions by detached banana leaves.

    Science.gov (United States)

    Zeng, Zhidong; Qi, Chuanjiao; Chen, Qi; Li, Kunzhi; Chen, Limei

    2014-05-01

    Detached banana leaves are one of the by-products of banana production. In this study, the absorption and metabolism of formaldehyde (HCHO) in solutions by detached banana leaves was investigated under submergence conditions. The results showed that banana leaves could effectively absorb HCHO in the treatment solutions, and the relationship between HCHO absorption and treatment time appeared to fit a radical root function model. (13)C nuclear magnetic resonance analysis was used to investigate the ability of detached banana leaves to metabolise H(13)CHO, and the results indicated that the H(13)CHO absorbed from the treatment solutions was converted into non-toxic compounds. High amounts of [U-(13)C]glucose, [U-(13)C]fructose, [3-(13)C]serine and [3-(13)C]citrate were produced as a result of H(13)CHO metabolism in banana leaves, and the production of a small amount of [2,4-(13)C]citrate and [2,3-(13)C]alanine was also observed. These results suggest that detached banana leaves can metabolise H(13)CHO and convert it to non-toxic compounds. The metabolic pathways that produce these intermediates in detached banana leaves are postulated based on our (13)C nuclear magnetic resonance data.

  6. UG Simulation Based on Electric Cutting Banana Harvest Machine%基于新型电动切割香蕉采收机的 UG 仿真

    Institute of Scientific and Technical Information of China (English)

    黎毓鹏; 马桂香; 马俊生; 王献泽; 张健

    2016-01-01

    In order to improve the efficiency , reduce labor intensity , at the same time to develop a can realize the multi degree of freedom instead of the pure manual electric cutting banana harvest machine , make banana harvest energy , fast , convenient , young and old are operational , proficiency quickly .This paper introduced the working principle of electric cutting banana harvest machine , kinematics analysis and using Three-dimensional software UG , electric cutting real ba-nana harvest machine in working condition .The results show that the electric cutting banana harvest machine can meet the job requirements , to achieve a predetermined motion law .%为了提高效率、降低劳动强度,研发一种能代替纯手工、实现多自由度电动切割香蕉采收的机器,使香蕉采收省力、快速、方便,老少均可操作,熟练程度快。为此,介绍了新型电动切割香蕉采收机的工作原理,并运用三维软件UG进行运动学分析,真实再现了新型电动切割香蕉采收机的工作状况。研究结果表明:新型电动切割香蕉采收机满足工作要求,能实现预定的运动轨迹。

  7. Processing of Banana Flour Using a Local Banana as Raw Materials in Lampung

    Directory of Open Access Journals (Sweden)

    Alvi Yani

    2013-01-01

    Full Text Available The research aims to get the best local banana from several aspects (rendement total sugar content, organoleptic and nutritional value in the process into banana flour (BF. Research conducted in July-September 2010 and mature green bananas were collected from the farmer’s field of Pardasuka Village, Ketibung District, South Lampung Regency. Research conducted using randomized design with four banana types , a. Janten, b. Kepok Manado, c. Muli and d, Raja Nangka.. Analyses carried out on rendement, nutritional value, total sugar and whiteness. Organoleptic test was done for knowing customer preferences (color, flavor and texture by 20 panelists with score 1 to 7 (very not like s/d really like. Results showed that rendement of BF from Janten was the highest (range of recovery 35-36% followed by BF from Raja Nangka (20-21%, Kepok Manado (20% and Muli (16-17%. The highest total sugar was BF from Muli i.e .7.784% followed by Raja Nangka (4.985%, Kepok Manado (4.961% and Janten (3.732%, whereas whiteness ranges from 42.85 to 61, 55% with the highest levels of whiteness of BF from Kepok Manado (61.55%, followed Janten (54%, Raja Nangka (43.25% and the lowest of Muli (42.85%. The BF contained protein (from 2.545 to 3.407%, fat (from 0.433 to 0.583%, carbohydrate (from 83.400 to 88.005%, ash (from 2.053 to 3.031%, crude fiber (from 0.524 to 1.897 and moisture content (from 5.586 to 6.603%. The BF from Raja Nangka showed good characters (color = 5.92, (texture = 5.69, and (flavor = 5.31 and panelist acceptance. Based on consideration of several aspects such as rendement, total sugar, consumer preferences, availability of raw materials and business analyses, the best bananas to be processed into flour in Lampung was the Raja Nangka banana and be able to increase the added value of > 15% with B/C ratio of 1.32 and competent to be developed.

  8. Development of Green Banana (Musa paradisiaca as Potential Food Packaging Films and Coatings

    Directory of Open Access Journals (Sweden)

    Nur Hanani Z. A.

    2016-02-01

    Full Text Available The aim of this study was to develop biodegradable packaging films based on a unripe green banana (Musa paradisiaca L. with different plasticizers; glycerol, polyethylene glycol (PEG and sorbitol at various concentrations (10-50%. Banana films were produced by using casting method and physical properties of these films were determined. Banana films with 10% of PEG showed the lowest water solubility (P≤0.05 followed by films with glycerol and sorbitol. Banana films with 40% plasticizers possessed the lowest water vapor permeability (WVP whereas films with 30% glycerol exhibited higher values of tensile strength (P≤0.05 compared to films with PEG and sorbitol. However, types of plasticizers did not influence the thickness of the films. Also, used of higher concentrations of plasticizers had increased the solubility values. These findings reveal that concentrations and types of plasticizers have significant roles to provide banana film or coating with good physical properties. The aim of this study was to develop biodegradable packaging films based on a unripe green banana (Musa paradisiaca L. with different plasticizers; glycerol, polyethylene glycol (PEG and sorbitol at various concentrations (10-50%. Banana films were produced by using casting method and physical properties of these films were determined. Banana films with 10% of PEG showed the lowest water solubility (P≤0.05 followed by films with glycerol and sorbitol. Banana films with 40% plasticizers possessed the lowest water vapour permeability (WVP whereas films with 30% glycerol exhibited higher values of tensile strength (P≤0.05 compared to films with PEG and sorbitol. However, types of plasticizers did not influence the thickness of the films. Also, used of higher concentrations of plasticizers had increased the solubility values. These findings reveal that concentrations and types of plasticizers have significant roles to provide banana film or coating with good physical

  9. Study on Banana Cooperatives in Hainan Province

    Institute of Scientific and Technical Information of China (English)

    Huide; HUANG; Wanzhen; ZHANG; Enping; LIU; Xizhu; ZHANG

    2013-01-01

    This paper gives an overview of the distribution,member scale,production and operation of banana cooperatives in Hainan Province,and points out the market risk and natural risk faced by the production of banana cooperatives in Hainan Province. In order to promote the banana cooperatives to form new agricultural management system integrating organization and intensification,this paper puts forth the production and operation recommendations,such as joint production of banana cooperatives,timely planting of banana,brand management,and improvement of production and operation technical level.

  10. Genome-Wide Identification, Phylogeny, and Expression Analyses of the 14-3-3 Family Reveal Their Involvement in the Development, Ripening, and Abiotic Stress Response in Banana

    Science.gov (United States)

    Li, Meiying; Ren, Licheng; Xu, Biyu; Yang, Xiaoliang; Xia, Qiyu; He, Pingping; Xiao, Susheng; Guo, Anping; Hu, Wei; Jin, Zhiqiang

    2016-01-01

    Plant 14-3-3 proteins act as critical components of various cellular signaling processes and play an important role in regulating multiple physiological processes. However, less information is known about the 14-3-3 gene family in banana. In this study, 25 14-3-3 genes were identified from the banana genome. Based on the evolutionary analysis, banana 14-3-3 proteins were clustered into ε and non-ε groups. Conserved motif analysis showed that all identified banana 14-3-3 genes had the typical 14-3-3 motif. The gene structure of banana 14-3-3 genes showed distinct class-specific divergence between the ε group and the non-ε group. Most banana 14-3-3 genes showed strong transcript accumulation changes during fruit development and postharvest ripening in two banana varieties, indicating that they might be involved in regulating fruit development and ripening. Moreover, some 14-3-3 genes also showed great changes after osmotic, cold, and salt treatments in two banana varieties, suggested their potential role in regulating banana response to abiotic stress. Taken together, this systemic analysis reveals the involvement of banana 14-3-3 genes in fruit development, postharvest ripening, and response to abiotic stress and provides useful information for understanding the functions of 14-3-3 genes in banana. PMID:27713761

  11. Phyllosticta species associated with freckle disease of banana

    NARCIS (Netherlands)

    Wong, M.H.; Crous, P.W.; Henderson, J.; Groenewald, J.Z.; Drenth, A.

    2012-01-01

    The identity of the casual agent of freckle disease of banana was investigated. The pathogen is generally referred to in literature under its teleomorphic name, Guignardia musae, or that of its purported anamorph, Phyllosticta musarum. Based on morphological and molecular data from a global set of b

  12. 搜索Banana Republic

    Institute of Scientific and Technical Information of China (English)

    2008-01-01

    <正>国内没有Banana Republic的专营店,但这并不意味着你买不到它家的货品,渠道有二:其一,是去淘宝上寻找,超级强悍的淘宝网,点Banana Republic关键词,你能找到许多售卖原单货甚至美国代购货的店铺,价格平实,唯一的缺点就是不能试衣,Banana Republic尺码偏大,在购买时尽量比平时穿的尺码小一号。其二,就是去遍布青岛大街小巷的外贸服装店购买,笔者曾在许多家碰到过Banana Repubkic的原单货,但这就需要讲究机缘了,而我们写此文的目的之一也是希望读者今后在遇见这个品牌的原单货后,当机立断拿下,毕竟,"香蕉共和国"的货品在国内还是难得一遇的!

  13. Biochemical and molecular tools reveal two diverse Xanthomonas groups in bananas.

    Science.gov (United States)

    Adriko, J; Aritua, V; Mortensen, C N; Tushemereirwe, W K; Mulondo, A L; Kubiriba, J; Lund, O S

    2016-02-01

    Xanthomonas campestris pv. musacearum (Xcm) causing the banana Xanthomonas wilt (BXW) disease has been the main xanthomonad associated with bananas in East and Central Africa based on phenotypic and biochemical characteristics. However, biochemical methods cannot effectively distinguish between pathogenic and non-pathogenic xanthomonads. In this study, gram-negative and yellow-pigmented mucoid bacteria were isolated from BXW symptomatic and symptomless bananas collected from different parts of Uganda. Biolog, Xcm-specific (GspDm), Xanthomonas vasicola species-specific (NZ085) and Xanthomonas genus-specific (X1623) primers in PCR, and sequencing of ITS region were used to identify and characterize the isolates. Biolog tests revealed several isolates as xanthomonads. The GspDm and NZ085 primers accurately identified three isolates from diseased bananas as Xcm and these were pathogenic when re-inoculated into bananas. DNA from more isolates than those amplified by GspDm and NZ085 primers were amplified by the X1623 primers implying they are xanthomonads, these were however non-pathogenic on bananas. In the 16-23 ITS sequence based phylogeny, the pathogenic bacteria clustered together with the Xcm reference strain, while the non-pathogenic xanthomonads isolated from both BXW symptomatic and symptomless bananas clustered with group I xanthomonads. The findings reveal dynamic Xanthomonas populations in bananas, which can easily be misrepresented by only using phenotyping and biochemical tests. A combination of tools provides the most accurate identity and characterization of these plant associated bacteria. The interactions between the pathogenic and non-pathogenic xanthomonads in bananas may pave way to understanding effect of microbial interactions on BXW disease development and offer clues to biocontrol of Xcm.

  14. Welfare Gains from Liberalized Banana Trade and a New International Banana Agreement

    OpenAIRE

    Kox, H.L.M.

    1998-01-01

    The European Union import policy for bananas grants preferential trade access for ACP bananas and discriminates against bananas from other sources. It is shown that such trade discrimination cannot be defended by development-related motives. As a form of aid transfer to banana-exporting ACP countries, the EU import regime is highly inefficient. The effective value of financial transfers is low, while there are large associated welfare costs to domestic consumers and to non-preferred export co...

  15. Basis for the development of a scenario for ground water risk assessment of plant protection products to banana crop in the frame work of regulation 1107/2009

    Science.gov (United States)

    Alonso-Prados, Elena; Fernández-Getino, Ana Patricia; Alonso-Prados, Jose Luis

    2014-05-01

    The risk assessment to ground water of pesticides and their main metabolites is a data requirement under regulation 1107/2009, concerning the placing of plant protection products on the market. Predicted environmental concentrations (PEC) are calculated according to the recommendations of Forum for the Co-ordination of pesticide fate models and Their Use (FOCUS). The FOCUS groundwater working group developed scenarios for the main crops in European Union. However there are several crops which grow under specific agro-environmental conditions not covered by these scenarios and it is frequent to use the defined scenarios as surrogates. This practice adds an uncertainty factor in the risk assessment. One example is represented by banana crop which in Europe is limited to sub-tropical environmental conditions and with specific agronomic practices. The Canary Islands concentrates the higher production of banana in the European Union characterized by volcanic soils. Banana is located at low altitudes where soils have been eroded or degraded, and it is a common practice to transport soil materials from the high-mid altitudes to the low lands for cultivation. These cultivation plots are locally named "sorribas". These volcanic soils, classified as Andosols according to the FAO classification, have special physico-chemical properties due to noncrystalline materials and layer silicates. The good stability of these soils and their high permeability to water make them relatively resistant to water erosion. Physical properties of volcanic clayey soils are strongly affected by allophone and Fe and Al oxyhidroxides. The rapid weathering of porous volcanic material results in accumulation of stable organo-mineral complexes and short-range-order mineral such as allophane, imogolite and ferrihydrite. These components induce strong aggregation that partly favors properties such as: reduced swelling, increased aggregate stability of clay minerals, high soil water retention capacity

  16. Trust-based collective view prediction

    CERN Document Server

    Luo, Tiejian; Xu, Guandong; Zhou, Jia

    2013-01-01

    Collective view prediction is to judge the opinions of an active web user based on unknown elements by referring to the collective mind of the whole community. Content-based recommendation and collaborative filtering are two mainstream collective view prediction techniques. They generate predictions by analyzing the text features of the target object or the similarity of users' past behaviors. Still, these techniques are vulnerable to the artificially-injected noise data, because they are not able to judge the reliability and credibility of the information sources. Trust-based Collective View

  17. In vivo fertilization of banana

    OpenAIRE

    Taliane Leila Soares; Everton Hilo de Souza; Maria Angélica Pereira de Carvalho Costa; Sebastião de Oliveira E Silva; Janay Almeida dos Santos Serejo

    2014-01-01

    The aim of this research was to study the in vivo fertilization process of banana cultivars. The diploid hybrid (AA) 091087-01 was the male progenitor. Flower samples were checked for fertilization from the first to the twentieth day after pollination. The size of the diploid ovules increased gradually at the beginning of the seed formation process. On the other hand, in the AAA triploids (Cavendish subgroup), the not fertilized ovules were aborted. In the AAB triploids (Prata subgroup) some ...

  18. The Complete Chloroplast Genome of Banana (Musa acuminata, Zingiberales): Insight into Plastid Monocotyledon Evolution

    OpenAIRE

    Guillaume Martin; Franc-Christophe Baurens; Céline Cardi; Jean-Marc Aury; Angélique D'Hont

    2013-01-01

    BACKGROUND: Banana (genus Musa) is a crop of major economic importance worldwide. It is a monocotyledonous member of the Zingiberales, a sister group of the widely studied Poales. Most cultivated bananas are natural Musa inter-(sub-)specific triploid hybrids. A Musa acuminata reference nuclear genome sequence was recently produced based on sequencing of genomic DNA enriched in nucleus. METHODOLOGY/PRINCIPAL FINDINGS: The Musa acuminata chloroplast genome was assembled with chloroplast reads e...

  19. 33 CFR 117.263 - Banana River.

    Science.gov (United States)

    2010-07-01

    ... 33 Navigation and Navigable Waters 1 2010-07-01 2010-07-01 false Banana River. 117.263 Section 117.263 Navigation and Navigable Waters COAST GUARD, DEPARTMENT OF HOMELAND SECURITY BRIDGES DRAWBRIDGE OPERATION REGULATIONS Specific Requirements Florida § 117.263 Banana River. (a) The draw of the Mathers...

  20. 香蕉育苗技术的推广应用%Extension and Utilization of Seedling Breeding Technique for Banana

    Institute of Scientific and Technical Information of China (English)

    王永壮; 符运柳; 刘以道; 覃和业

    2011-01-01

    介绍健康、优质香蕉组培苗一、二级苗的培育技术,以促进香蕉产业的健康发展。%Based on many years of practical experience in the production of banana seedlings,author now is introducing the seedling cultivation technology on health and quality of banana tissue culture to promote the healthy development of the banana industry.

  1. Assessment of In Vivo Antidiabetic Properties of Umbelliferone and Lupeol Constituents of Banana (Musa sp. var. Nanjangud Rasa Bale) Flower in Hyperglycaemic Rodent Model

    OpenAIRE

    Ramith Ramu; Prithvi S Shirahatti; Nanjunda Swamy S; Farhan Zameer; Bhadrapura Lakkappa Dhananjaya; Nagendra Prasad M N

    2016-01-01

    Banana is an extensively cultivated plant worldwide, mainly for its fruit, while its ancillary product, the banana flower is consumed as a vegetable and is highly recommended for diabetics in the traditional Indian medicine system. This study is based on an investigation of the in vivo antihyperglycaemic activity of Umbelliferone (C1) and Lupeol (C2) isolated from the ethanol extract of banana flower (EF) in alloxan induced diabetic rat model. Diabetic rats which were administered with C1, C2...

  2. Speech Intelligibility Prediction Based on Mutual Information

    DEFF Research Database (Denmark)

    Jensen, Jesper; Taal, Cees H.

    2014-01-01

    This paper deals with the problem of predicting the average intelligibility of noisy and potentially processed speech signals, as observed by a group of normal hearing listeners. We propose a model which performs this prediction based on the hypothesis that intelligibility is monotonically related...... to the mutual information between critical-band amplitude envelopes of the clean signal and the corresponding noisy/processed signal. The resulting intelligibility predictor turns out to be a simple function of the mean-square error (mse) that arises when estimating a clean critical-band amplitude using...... a minimum mean-square error (mmse) estimator based on the noisy/processed amplitude. The proposed model predicts that speech intelligibility cannot be improved by any processing of noisy critical-band amplitudes. Furthermore, the proposed intelligibility predictor performs well ( ρ > 0.95) in predicting...

  3. 7 CFR 318.13-22 - Bananas from Hawaii.

    Science.gov (United States)

    2010-01-01

    ... 7 Agriculture 5 2010-01-01 2010-01-01 false Bananas from Hawaii. 318.13-22 Section 318.13-22... From Hawaii and the Territories § 318.13-22 Bananas from Hawaii. (a) Green bananas (Musa spp.) of the... from Hawaii with certification in accordance with § 318.13-3 if the bananas meet the...

  4. Calorimeter prediction based on multiple exponentials

    Energy Technology Data Exchange (ETDEWEB)

    Smith, M.K. E-mail: mks@lanl.gov; Bracken, D.S

    2002-05-21

    Calorimetry allows very precise measurements of nuclear material to be carried out, but it also requires relatively long measurement times to do so. The ability to accurately predict the equilibrium response of a calorimeter would significantly reduce the amount of time required for calorimetric assays. An algorithm has been developed that is effective at predicting the equilibrium response. This multi-exponential prediction algorithm is based on an iterative technique using commercial fitting routines that fit a constant plus a variable number of exponential terms to calorimeter data. Details of the implementation and the results of trials on a large number of calorimeter data sets will be presented.

  5. Calorimeter prediction based on multiple exponentials

    International Nuclear Information System (INIS)

    Calorimetry allows very precise measurements of nuclear material to be carried out, but it also requires relatively long measurement times to do so. The ability to accurately predict the equilibrium response of a calorimeter would significantly reduce the amount of time required for calorimetric assays. An algorithm has been developed that is effective at predicting the equilibrium response. This multi-exponential prediction algorithm is based on an iterative technique using commercial fitting routines that fit a constant plus a variable number of exponential terms to calorimeter data. Details of the implementation and the results of trials on a large number of calorimeter data sets will be presented

  6. Calorimeter prediction based on multiple exponentials

    CERN Document Server

    Smith, M K

    2002-01-01

    Calorimetry allows very precise measurements of nuclear material to be carried out, but it also requires relatively long measurement times to do so. The ability to accurately predict the equilibrium response of a calorimeter would significantly reduce the amount of time required for calorimetric assays. An algorithm has been developed that is effective at predicting the equilibrium response. This multi-exponential prediction algorithm is based on an iterative technique using commercial fitting routines that fit a constant plus a variable number of exponential terms to calorimeter data. Details of the implementation and the results of trials on a large number of calorimeter data sets will be presented.

  7. Design and Implementation on the Diseases and Insect Pests Information Management System of Banana Base on WEBGIS%基于WEBGIS的香蕉病虫害信息管理系统研发

    Institute of Scientific and Technical Information of China (English)

    王博; 李俊

    2014-01-01

    Hainan, Guangxi, Guangdong, Yunnan and Fujian have been considered as main banana production areas in China. In order to accurately understand the spatial distribution and changing characteristics of banana diseases and insect pests in time, a set of banana disease and insect pest information management system covering these five provinces and taking town as minimal units was designed in this paper. The system used GEOSERVER as the server of GIS, TOMCAT as the server of WEB, MYSQL as the server of Database. Through the browser, users can not only input the disease and insect pest data of villages and towns in past years, but also show dynamic display and analysis of the changing characteristics and its regularity. This system based on WEBGI was in possession of characteristics like easily using and maintaining, and it would become the main development direction of information management system in future.%中国香蕉主产区为海南、广西、广东、云南、福建等5省,为即时准确地了解香蕉病虫害空间分布及变化特点,本文设计了一套5省以乡镇为最少单元的香蕉病虫害信息管理系统,系统以GEOSERVER作为GIS服务器、TOMCAT为WEB服务器、MYSQL为数据库,用户通过浏览器可以方便输入历年各乡镇香蕉病虫害数据,并能动态显示与分析香蕉病虫害变化特点与规律,这种基于WEBGIS的香蕉病虫害信息管理系统具有使用与维护简单、方便等特点,是未来信息管理系统主要发展方向。

  8. Advances in industrial prospective of cellulosic macromolecules enriched banana biofibre resources: A review.

    Science.gov (United States)

    Pappu, Asokan; Patil, Vikas; Jain, Sonal; Mahindrakar, Amit; Haque, Ruhi; Thakur, Vijay Kumar

    2015-08-01

    Biological macromolecules enriched resources are rapidly emerging as sustainable, cost effective and environmental friendly materials for several industrial applications. Among different biological macromolecules enriched resources, banana fibres are one of the unexplored high potential bio-resources. Compared to various natural fibres such as jute, coir, palm etc., the banana fibres exhibits a better tensile strength i.e. 458 MPa with 17.14 GPa tensile modulus. Traditionally used petroleum based synthetic fibres have been proven to be toxic, non-biodegradable and energy intensive for manufacturing. Cellulosic banana fibres are potential engineering materials having considerable scope to be used as an environmental friendly reinforcing element for manufacturing of polymer based green materials. This paper summarizes the world scenario of current production of biological macromolecules rich banana residues and fibres; major user's of banana fibres. The quality and quantity of biological macromolecules especially the cellulose, hemicellulose, lignin, wax, engineering and mechanical properties of banana biofibre resources are reported and discussed. Subsequently, the findings of the recent research on bio resource composites, materials performance and opportunities have been discussed which would be a real challenge for the tomorrow world to enhance the livelihood environmental friendly advancement. PMID:26001493

  9. Energy based prediction models for building acoustics

    DEFF Research Database (Denmark)

    Brunskog, Jonas

    2012-01-01

    In order to reach robust and simplified yet accurate prediction models, energy based principle are commonly used in many fields of acoustics, especially in building acoustics. This includes simple energy flow models, the framework of statistical energy analysis (SEA) as well as more elaborated...... principles as, e.g., wave intensity analysis (WIA). The European standards for building acoustic predictions, the EN 12354 series, are based on energy flow and SEA principles. In the present paper, different energy based prediction models are discussed and critically reviewed. Special attention is placed...... on underlying basic assumptions, such as diffuse fields, high modal overlap, resonant field being dominant, etc., and the consequences of these in terms of limitations in the theory and in the practical use of the models....

  10. Bananas, a source of compounds with health properties

    OpenAIRE

    Parfait, Berthe; Aurore, Guylène

    2009-01-01

    Banana has an important place in human nutrition all over the world. It is interesting to analyse banana health preservation potentialities. The medicinal properties of banana are part of the folk medicine of all tropical countries. Bananas are used in special diets where ease of digestibility, low fat, minerals and vitamins are required. These special diets are used for babies, the elderly and patients with stomach problems, gout, and arthritis. Anti-ulcerogenic properties of banana are repo...

  11. Agroforestry leads to shifts within the gammaproteobacterial microbiome of banana plants cultivated in Central America.

    Science.gov (United States)

    Köberl, Martina; Dita, Miguel; Martinuz, Alfonso; Staver, Charles; Berg, Gabriele

    2015-01-01

    Bananas (Musa spp.) belong to the most important global food commodities, and their cultivation represents the world's largest monoculture. Although the plant-associated microbiome has substantial influence on plant growth and health, there is a lack of knowledge of the banana microbiome and its influencing factors. We studied the impact of (i) biogeography, and (ii) agroforestry on the banana-associated gammaproteobacterial microbiome analyzing plants grown in smallholder farms in Nicaragua and Costa Rica. Profiles of 16S rRNA genes revealed high abundances of Pseudomonadales, Enterobacteriales, Xanthomonadales, and Legionellales. An extraordinary high diversity of the gammaproteobacterial microbiota was observed within the endophytic microenvironments (endorhiza and pseudostem), which was similar in both countries. Enterobacteria were identified as dominant group of above-ground plant parts (pseudostem and leaves). Neither biogeography nor agroforestry showed a statistically significant impact on the gammaproteobacterial banana microbiome in general. However, indicator species for each microenvironment and country, as well as for plants grown in Coffea intercropping systems with and without agri-silvicultural production of different Fabaceae trees (Inga spp. in Nicaragua and Erythrina poeppigiana in Costa Rica) could be identified. For example, banana plants grown in agroforestry systems were characterized by an increase of potential plant-beneficial bacteria, like Pseudomonas and Stenotrophomonas, and on the other side by a decrease of Erwinia. Hence, this study could show that as a result of legume-based agroforestry the indigenous banana-associated gammaproteobacterial community noticeably shifted.

  12. Effect of chitosan coating and bamboo FSC (fruit storage chamber) to expand banana shelf life

    Science.gov (United States)

    Pratiwi, Aksarani'Sa; Dwivany, Fenny M.; Larasati, Dwinita; Islamia, Hana Cahya; Martien, Ronny

    2015-09-01

    Chitosan has been widely used as fruit preserver and proven to extend the shelf life of many fruits, such as banana. However, banana producers and many industries in Indonesia still facing storage problems which may lead to mechanical damage of the fruits and ripening acceleration. Therefore, we have designed food storage chamber (FSC) based on bamboo material. Bamboo was selected because of material abundance in Indonesia, economically effective, and not causing an autocatalytic reaction to the ethylene gas produced by the banana. In this research, Cavendish banana that has reached the maturity level of mature green were coated with 1% chitosan and placed inside the FSC. As control treatments, uncoated banana was also placed inside the FSC as well as uncoated banana that were placed at open space. All of the treatments were placed at 25°C temperature and observed for 9 days. Water produced by respiration was reduced by the addition of charcoal inside a fabric pouch. The result showed that treatment using FSC and chitosan can delay ripening process.

  13. Agroforestry leads to shifts within the gammaproteobacterial microbiome of banana plants cultivated in Central America

    Directory of Open Access Journals (Sweden)

    Martina eKöberl

    2015-02-01

    Full Text Available Bananas (Musa spp. belong to the most important global food commodities, and their cultivation represents the world’s largest monoculture. Although the plant-associated microbiome has substantial influence on plant growth and health, there is a lack of knowledge of the banana microbiome and its influencing factors. We studied the impact of i biogeography, and ii agroforestry on the banana-associated gammaproteobacterial microbiome analyzing plants grown in smallholder farms in Nicaragua and Costa Rica. Profiles of 16S rRNA genes revealed high abundances of Pseudomonadales, Enterobacteriales, Xanthomonadales, and Legionellales. An extraordinary high diversity of the gammaproteobacterial microbiota was observed within the endophytic microenvironments (endorhiza and pseudostem, which was similar in both countries. Enterobacteria were identified as dominant group of above-ground plant parts (pseudostem and leaves. Neither biogeography nor agroforestry showed a statistically significant impact on the gammaproteobacterial banana microbiome in general. However, indicator species for each microenvironment and country, as well as for plants grown in Coffea intercropping systems with and without agri-silvicultural production of different Fabaceae trees (Inga spp. in Nicaragua and Erythrina poeppigiana in Costa Rica could be identified. For example, banana plants grown in agroforestry systems were characterized by an increase of potential plant-beneficial bacteria, like Pseudomonas and Stenotrophomonas, and on the other side by a decrease of Erwinia. Hence, this study could show that as a result of legume-based agroforestry the indigenous banana-associated gammaproteobacterial community noticeably shifted.

  14. Time Series Prediction Based on Chaotic Attractor

    Institute of Scientific and Technical Information of China (English)

    LIKe-Ping; CHENTian-Lun; GAOZi-You

    2003-01-01

    A new prediction technique is proposed for chaotic time series. The usefulness of the technique is that it can kick off some false neighbor points which are not suitable for the local estimation of the dynamics systems. A time-delayed embedding is used to reconstruct the underlying attractor, and the prediction model is based on the time evolution of the topological neighboring in the phase space. We use a feedforward neural network to approximate the local dominant Lyapunov exponent, and choose the spatial neighbors by the Lyapunov exponent. The model is tested for the Mackey-Glass equation and the convection amplitude of lorenz systems. The results indicate that this prediction technique can improve the prediction of chaotic time series.

  15. Feynman motives of banana graphs

    CERN Document Server

    Aluffi, Paolo

    2008-01-01

    We consider the infinite family of Feynman graphs known as the ``banana graphs'' and compute explicitly the classes of the corresponding graph hypersurfaces in the Grothendieck ring of varieties as well as their Chern--Schwartz--MacPherson classes, using the classical Cremona transformation and the dual graph, and a blowup formula for characteristic classes. We outline the interesting similarities between these operations and we give formulae for cones obtained by simple operations on graphs. We formulate a positivity conjecture for characteristic classes of graph hypersurfaces and discuss briefly the effect of passing to noncommutative spacetime.

  16. Ripening influences banana and plantain peels composition and energy content.

    Science.gov (United States)

    Emaga, Thomas Happi; Bindelle, Jérôme; Agneesens, Richard; Buldgen, André; Wathelet, Bernard; Paquot, Michel

    2011-01-01

    Musa sp. peels are widely used by smallholders as complementary feeds for cattle in the tropics. A study of the influence of the variety and the maturation stage of the fruit on fermentability and metabolisable energy (ME) content of the peels was performed using banana (Yangambi Km5) and plantain (Big Ebanga) peels at three stages of maturation in an in vitro model of the rumen. Peel samples were analysed for starch, free sugars and fibre composition. Samples were incubated in the presence of rumen fluid. Kinetics of gas production were modelled, ME content was calculated using prediction equation and short-chain fatty acids production and molar ratio were measured after 72 h of fermentation. Final gas production was higher in plantain (269-339 ml g(-1)) compared to banana (237-328 ml g(-1)) and plantain exhibited higher ME contents (8.9-9.7 MJ/kg of dry matter, DM) compared to banana (7.7-8.8 MJ/kg of DM). Butyrate molar ratio decreased with maturity of the peels. The main influence of the variety and the stage of maturation on all fermentation parameters as well as ME contents of the peels was correlated to changes in the carbohydrate fraction of the peels, including starch and fibre.

  17. Predicting Learned Helplessness Based on Personality

    Science.gov (United States)

    Maadikhah, Elham; Erfani, Nasrollah

    2014-01-01

    Learned helplessness as a negative motivational state can latently underlie repeated failures and create negative feelings toward the education as well as depression in students and other members of a society. The purpose of this paper is to predict learned helplessness based on students' personality traits. The research is a predictive…

  18. Economic Analysis of Tissue-cultured Banana and Sucker-propagated Banana

    OpenAIRE

    Alagumani, T.

    2005-01-01

    An economic analysis of tissue-cultured banana (TCB) and sucker-propagated banana (SPB) has been presented through studying their costs and returns. The factors influencing the costs of their production have been identified and resource-use efficiency has been studied. The risks in cultivation of tissue-cultured banana have been highlighted. The study has been conducted in the Theni district of Tamil Nadu using personal interview method. Probit model has been employed to find out the factor i...

  19. MORPHOLOGICAL CHARACTERIZATION OF MALAYSIAN WILD BANANA MUSA ACUMINATA

    Directory of Open Access Journals (Sweden)

    MUHAMMAD ASIF JAVED

    2002-01-01

    Full Text Available Fourteen populations of Musa acuminata ranging from populations in the lowlands of northern (ssp. siamea to central Malaysian region (ssp. malaccensis and highland banana (ssp. truncata were characterized based on chromosome number and 46 morphological characters. A large amount of variation was observed within the populations. However, only highland bananas appeared morphologically distinct. Lowland populations both from northern and central Malaysia were found to be overlapping and no distinguishing pattern was observed. The morphological characters found variable within these populations were related to developmental changes and mutations. The results ob tained in this study were not revolutionary. However, the survey of a large number of characters treated with multivariate techniques further sharpened the existing groupings of the Musa acuminata subspecies.

  20. The Banana Industry, the Agricultural Sector and The Dominican Economy: Impacts of the Banana War

    OpenAIRE

    Harris, Emaline; Pemberton, Carlisle; De Sormeaux, Afiya

    2010-01-01

    This paper examines the impact of the banana dispute between the European Union (EU) and Latin American banana producers and the US on the supply of bananas from Dominica. It also looks at the future of the banana industry in light of the resolution of the dispute and the possibilities of the Fairtrade market. This examination is done through the analysis of the trends in supply, exports, prices and the contribution of the industry to the economy since the 1980s. The impact was further assess...

  1. Substituting Wheat Flour with Banana Skin Flour from Mixture Various Skin Types of Banana on Making Donuts

    Directory of Open Access Journals (Sweden)

    Renny Futeri

    2014-01-01

    Full Text Available Tropical forest plants is a very rich source of chemical compounds or bioactive efficacious . Many of the compounds potential as a source of raw materials in food processing . One is the banana plant , West Sumatra Padang and Bukittinggi is one area in Indonesia with banana . Generally people in West Sumatra just consume or eat the fruit and throw banana skin just because it is considered as waste ( waste banana peel . When the banana peel waste is left alone so do not rule out the possibility for the accumulation of garbage or waste banana peels , especially in the West Sumatra city of Padang and sekitarnya.Salah one solution that can be done is to harness and cultivate the banana peel waste into a material more useful for example in the manufacture of foodstuffs.Banana peel flour with all the treatments can produce flour banana peel . However, the manufacture of flour banana skin with the use of sodium metabisulfite 1% at 1 hour of soaking to get the best flour . Having obtained done banana peel flour donut -making flour substitute banana peel . The use of banana peel flour with different concentrations turned out to affect the organoleptic properties of the donut . Of hedonic organoleptic test , the results of the average value of the ratio between wheat flour with flour banana skin that gives the best results for color , aroma , and flavor that is a donut with banana peel flour ratio of 0 % to 100 % wheat flour and donuts with banana peel flour ratio 10 % with 90 % wheat flour , but the texture will be best results are donuts of banana peels can be made by substituting wheat flour with flour banana skin at 10 %. Carbohydrate content of flour banana skin with the use of sodium metabisulfite 1% at 1 hour soaking of 16.60 grams.

  2. Consumo de massas, biodiversidade e fitomelhoramento da banana de exportação 1920 a 1980 Mass markets, biodiversity and breeding improvements of export bananas 1920-1980

    OpenAIRE

    John Soluri

    2008-01-01

    A exportação de banana, na América, foi constituída sob uma base genética extremamente limitada: ao longo de setenta anos, uma só variedade de banana, a Gros Michel, foi praticamente a única a ser vendida nos mercados norte-americanos. Esta variedade produzia grandes cachos, resistentes ao transporte, e dotados de um sabor e de uma casca que os consumidores norte-americanos identificavam como pertencentes a uma banana de qualidade. Entretanto, a Gros Michel também se mostrou muito suscetível ...

  3. Space Curvature and the "Heavy Banana 'Paradox.'"

    Science.gov (United States)

    Gruber, Ronald P.; And Others

    1991-01-01

    Two ways to visually enhance the concept of space curvature are described. Viewing space curvature as a meterstick contraction and the heavy banana "paradox" are discussed. The meterstick contraction is mathematically explained. (KR)

  4. STUDY OF MECHANICAL PROPERTIES OF BANANA-COIR HYBRID COMPOSITE USING EXPERIMENTAL AND FEM TECHNIQUES

    Directory of Open Access Journals (Sweden)

    T. Hariprasad

    2013-06-01

    Full Text Available The use of natural fibers as reinforcement in polymers has gained importance in recent years due to their eco-friendly nature. Thus, an investigation has been undertaken on banana-coir, which is a natural fiber abundantly available in India. Natural fibers are not only strong and lightweight, but also relatively very cheap. Composite plates were prepared with resin 392 g, coir 54 g, and banana 69 g. The purpose of this work is to establish the tensile, flexural, and impact properties of banana-coir reinforced composite materials with a thermo set for treated and untreated fibers. The resin used was epoxy (EP306. The tensile and impact tests showed that treated banana-coir epoxy hybrid composites have higher tensile strength and impact strength than untreated composites. However, untreated fiber composites have greater flexural strength than the treated fiber composites. The finite element analysis (FEA software ANSYS has been employed successfully to evaluate the properties. The stresses at the interface of the banana-coir and matrix, induced by the different loading conditions, were applied to predict the tensile, impact, and flexural properties by using the FEA models. The model output was compared with the experimental results and found to be close. This analysis is useful for realizing the advantages of hybrid fiber reinforced composites in structural applications and for identifying where the stresses are critical and damage the interface under varying loading conditions.

  5. PROPOLIS EXTRACT IN POSTHARVEST CONSERVATION BANANA ' PRATA'

    OpenAIRE

    FLÁVIA REGINA PASSOS; FABRÍCIA QUEIROZ MENDES; MARIANA CRIVELARI DA CUNHA; MARIANA TEIXEIRA PIGOZZI; ANDRÉ MUNDSTOCK XAVIER DE CARVALHO

    2016-01-01

    ABSTRACT In the present work were evaluated the effects of propolis coatings of various botanical sources on quality traits of bananas cv. Prata (Musa sapientum L.) stored at room temperature. ´Prata´ bananas were selected and submitted to five postharvest treatments: four coatings applied by immersion in propolis extracts at a concentration of 2.5% (w/v) and a control (without coating). Propolis extracts were applied as 1) a wild type aqueous propolis extract, 2) a wild type hydroalcoholic ...

  6. PROPOLIS EXTRACT IN POSTHARVEST CONSERVATION BANANA ' PRATA'

    Directory of Open Access Journals (Sweden)

    FLÁVIA REGINA PASSOS

    2016-01-01

    Full Text Available ABSTRACT In the present work were evaluated the effects of propolis coatings of various botanical sources on quality traits of bananas cv. Prata (Musa sapientum L. stored at room temperature. ´Prata´ bananas were selected and submitted to five postharvest treatments: four coatings applied by immersion in propolis extracts at a concentration of 2.5% (w/v and a control (without coating. Propolis extracts were applied as 1 a wild type aqueous propolis extract, 2 a wild type hydroalcoholic propolis extract, 3 a rosemary green type hydroalcoholic propolis extract and 4 a red type hydroalcoholic propolis extract. The bananas were evaluated at three-day intervals along 12 days for fresh weight losses, flesh firmness, soluble solids (SS, titratable acidity (TA, the ratio SS/TA and pH. Sensory analyses were performed after three and six days of storage by 55 not trained panelists designed for acceptability. At the end of the twelve-day storage period, bananas coated either with the rosemary green hydroalcoholic extract or with the aqueous extract presented lower fresh weight losses in comparison to the bananas of the control treatment. No differences were determined in relation to flesh firmness and along the storage period TA values decreased and pH values increased in bananas of all treatments. SS contents increased towards the end of the storage period that, consequently, contributed to increases in the SS/TA ratio. The most significant increase in SS/TA ratio was determined in bananas coated with the red type hydroalcoholic extract. Taste panelists did not detect significant differences amongst coated and not coated cv. Prata bananas up to six days of storage.

  7. Wavelet-based prediction of oil prices

    Energy Technology Data Exchange (ETDEWEB)

    Yousefi, Shahriar [Econometric Group, Department of Economics, University of Southern Denmark, DK-5230 Odense M (Denmark); Weinreich, Ilona [Department of Mathematics and Technology, University of Applied Sciences Koblenz, RheinAhr Campus, D-53424 Remagen (Germany)]. E-mail: weinreich@rheinahrcampus.de; Reinarz, Dominik [Department of Mathematics and Technology, University of Applied Sciences Koblenz, RheinAhr Campus, D-53424 Remagen (Germany)

    2005-07-01

    This paper illustrates an application of wavelets as a possible vehicle for investigating the issue of market efficiency in futures markets for oil. The paper provides a short introduction to the wavelets and a few interesting wavelet-based contributions in economics and finance are briefly reviewed. A wavelet-based prediction procedure is introduced and market data on crude oil is used to provide forecasts over different forecasting horizons. The results are compared with data from futures markets for oil and the relative performance of this procedure is used to investigate whether futures markets are efficiently priced.

  8. In vivo fertilization of banana

    Directory of Open Access Journals (Sweden)

    Taliane Leila Soares

    2014-01-01

    Full Text Available The aim of this research was to study the in vivo fertilization process of banana cultivars. The diploid hybrid (AA 091087-01 was the male progenitor. Flower samples were checked for fertilization from the first to the twentieth day after pollination. The size of the diploid ovules increased gradually at the beginning of the seed formation process. On the other hand, in the AAA triploids (Cavendish subgroup, the not fertilized ovules were aborted. In the AAB triploids (Prata subgroup some ovules were fertilized. The flowers of Grand Naine, Nanicão and 'Pacovan' cultivars presented necrosis in the distal part of the ovary on the first day after pollination. Necrosis can hinder pollen tube growth towards the ovule, which might be related to the low seed yield in 'Pacovan' cultivars and to the absence of seeds in the Cavendish subgroup cultivars.

  9. Trajectory Prediction of Rotating Objects in Viscous Fluid: Based on Kinematic Investigation of Magnus Glider

    CERN Document Server

    Wei, Zhiyuan; Wei, Kai; Wang, Ziwei; Dai, Rucheng

    2016-01-01

    The case of a rotating object traveling through viscous fluid appears in many phenomena like the banana ball and missile movement. In this work, we build a model to predict the trajectory of such rotating objects with near-cylinder geometry. The analytical expression of Magnus force is given and a wind tunnel experiment is carried out, which shows the Magnus force is well proportional to the product of angular velocity and centroid velocity. The trajectory prediction is consistent with the trajectory record experiment of Magnus glider, which implies the validity and robustness of this model.

  10. Phenotypic and molecular characterization of Colletotrichum species associated with anthracnose of banana (Musa spp) in Malaysia.

    Science.gov (United States)

    Intan Sakinah, M A; Suzianti, I V; Latiffah, Z

    2014-05-09

    Anthracnose caused by Colletotrichum species is a common postharvest disease of banana fruit. We investigated and identified Colletotrichum species associated with anthracnose in several local banana cultivars based on morphological characteristics and sequencing of ITS regions and of the β-tubulin gene. Thirty-eight Colletotrichum isolates were encountered in anthracnose lesions of five local banana cultivars, 'berangan', 'mas', 'awak', 'rastali', and 'nangka'. Based on morphological characteristics, 32 isolates were identified as Colletotrichum gloeosporioides and 6 isolates as C. musae. C. gloeosporioides isolates were divided into two morphotypes, with differences in colony color, shape of the conidia and growth rate. Based on ITS regions and β-tubulin sequences, 35 of the isolates were identified as C. gloeosporioides and only 3 isolates as C. musae; the percentage of similarity from BLAST ranged from 95-100% for ITS regions and 97-100% for β-tubulin. C. gloeosporioides isolates were more prevalent compared to C. musae. This is the first record of C. gloeosporioides associated with banana anthracnose in Malaysia. In a phylogenetic analysis of the combined dataset of ITS regions and β-tubulin using a maximum likelihood method, C. gloeosporioides and C. musae isolates were clearly separated into two groups. We concluded that C. gloeosporioides and C. musae isolates are associated with anthracnose in the local banana cultivars and that C. gloeosporioides is more prevalent than C. musae.

  11. Effects of covering highland banana stumps with soil on banana weevil Cosmopolites sordidus (Coleoptera: Curculionidae) oviposition

    NARCIS (Netherlands)

    Masanza, M.; Gold, C.S.; Huis, van A.; Ragama, P.E.

    2005-01-01

    The effect of covering post-harvest banana stumps with soil on banana weevil Cosmopolites sordidus (Germar) oviposition levels was investigated at three locations, Sendusu, Kawanda Agricultural Research Institute (KARI) and Ntungamo district of southwestern Uganda. In the first experiment ovipositio

  12. Banana-associated microbial communities in Uganda are highly diverse but dominated by Enterobacteriaceae.

    Science.gov (United States)

    Rossmann, Bettina; Müller, Henry; Smalla, Kornelia; Mpiira, Samuel; Tumuhairwe, John Baptist; Staver, Charles; Berg, Gabriele

    2012-07-01

    Bananas are among the most widely consumed foods in the world. In Uganda, the country with the second largest banana production in the world, bananas are the most important staple food. The objective of this study was to analyze banana-associated microorganisms and to select efficient antagonists against fungal pathogens which are responsible for substantial yield losses. We studied the structure and function of microbial communities (endosphere, rhizosphere, and soil) obtained from three different traditional farms in Uganda by cultivation-independent (PCR-SSCP fingerprints of 16S rRNA/ITS genes, pyrosequencing of enterobacterial 16S rRNA gene fragments, quantitative PCR, fluorescence in situ hybridization coupled with confocal laser scanning microscopy, and PCR-based detection of broad-host-range plasmids and sulfonamide resistance genes) and cultivation-dependent methods. The results showed microhabitat-specific microbial communities that were significant across sites and treatments. Furthermore, all microhabitats contained a high number and broad spectrum of indigenous antagonists toward identified fungal pathogens. While bacterial antagonists were found to be enriched in banana plants, fungal antagonists were less abundant and mainly found in soil. The banana stem endosphere was the habitat with the highest bacterial counts (up to 10(9) gene copy numbers g(-1)). Here, enterics were found to be enhanced in abundance and diversity; they provided one-third of the bacteria and were identified by pyrosequencing with 14 genera, including not only potential human (Escherichia, Klebsiella, Salmonella, and Yersinia spp.) and plant (Pectobacterium spp.) pathogens but also disease-suppressive bacteria (Serratia spp.). The dominant role of enterics can be explained by the permanent nature and vegetative propagation of banana and the amendments of human, as well as animal, manure in these traditional cultivations.

  13. A clone of irradiated banana cultivar 'Williams' with high yield potential

    International Nuclear Information System (INIS)

    Efforts to improve banana in the Sudan started effectively with three IAEA mutation breeding projects. The most common banana cultivar is 'Dwarf Cavendish', which covers almost 95% of the area under banana production. This cultivar is considered as the most adapted banana cultivar to different climatic conditions, but it is prone to 'choke throat' and has low yield potential. Banana cv. 'Williams' was irradiated at the IAEA/FAO laboratories, Seibersdorf, Austria. Based on preliminary evaluation of the material, 5 mutants (i.e. W193-3, W188-3, W205-4, W206-1 and W224-4) were selected as single plants and propagated by tissue culture. Multi-location testing was carried out for these mutants with cvs. 'Dwarf Cavendish' and 'Williams as standard cultivars in a randomized complete block design with 4 replications and 25 plants per replication. Spacing was 2 x 2 m (2500 plant per ha) and one sucker was retained. The bunch weight and cumulative yield of clone 193-3 were significantly higher than all banana genotypes. The high yield of clone W193-3 in the plant crop was due to the significantly higher number of hands per bunch and larger fingers. The plant height at shooting and pseudostem girth were significantly higher in clone W193-3. The stability parameters for bunch weight of the different clones showed that clone W193-3 was stable with high yield in all environments. Clone W193-3 was released as a new banana cultivar for farmers under the names 'Albeely'. (author)

  14. Immunodiagnosis of episomal Banana streak MY virus using polyclonal antibodies to an expressed putative coat protein.

    Science.gov (United States)

    Sharma, Susheel Kumar; Kumar, P Vignesh; Baranwal, Virendra Kumar

    2014-10-01

    A cryptic Badnavirus species complex, known as banana streak viruses (BSV) poses a serious threat to banana production and genetic improvement worldwide. Due to the presence of integrated BSV sequences in the banana genome, routine detection is largely based on serological and nucleo-serological diagnostic methods which require high titre specific polyclonal antiserum. Viral structural proteins like coat protein (CP) are the best target for in vitro expression, to be used as antigen for antiserum production. However, in badnaviruses precise CP sequences are not known. In this study, two putative CP coding regions (p48 and p37) of Banana streak MY virus (BSMYV) were identified in silico by comparison with caulimoviruses, retroviruses and Rice tungro bacilliform virus. The putative CP coding region (p37) was in vitro expressed in pMAL system and affinity purified. The purified fusion protein was used as antigen for raising polyclonal antiserum in rabbit. The specificity of antiserum was confirmed in Western blots, immunosorbent electron microscopy (ISEM) and antigen coated plate-enzyme linked immunosorbent assay (ACP-ELISA). The antiserum (1:2000) was successfully used in ACP-ELISA for specific detection of BSMYV infection in field and tissue culture raised banana plants. The antiserum was also utilized in immuno-capture PCR (IC-PCR) based indexing of episomal BSMYV infection. This is the first report of in silico identification of putative CP region of BSMYV, production of polyclonal antiserum against recombinant p37 and its successful use in immunodetection.

  15. Transgenic approaches for development of disease resistance in banana

    International Nuclear Information System (INIS)

    Banana (Musa spp.) is an important food and cash crop worldwide. Diseases and pests pose the most serious constraint to banana cultivation. Among the diseases, Fusarium wilt and Banana Bunchy Top Virus (BBTV) are the most important economically. We have explored different transgenic approaches for development of efficient resistance in banana against these two diseases. For countering Fusarium wilt, we have over expressed Petunia floral defensins using a strong constitutive promoter in transgenic banana plants. We have also tested a host induced gene silencing strategy targeting two vital fungal genes to obtain Fusarium resistant banana plants. For development of BBTV resistant banana plants also, we have used a host-induced gene silencing approach utilizing the full and partial coding sequence of the viral replication initiation protein. Successful bioassays performed in controlled greenhouse conditions have shown the efficacy of using these strategies to develop disease resistant banana plants. (author)

  16. Nanocomposites of rice and banana flours blend with montmorillonite: Partial characterization

    Energy Technology Data Exchange (ETDEWEB)

    Rodríguez-Marín, María L.; Bello-Pérez, Luis A. [Centro de Desarrollo de Productos Bióticos, Instituto Politécnico Nacional, Km 6 carr Yautepec-Jojutla, Calle Ceprobi No. 8, Colonia San Isidro, Apartado Postal 24, C.P 62731, Yautepec, Morelos (Mexico); Yee-Madeira, Hernani [Departamento de Física, Escuela Superior de Física y Matemáticas-IPN, Edificio 9, U.P., ‘Adolfo López Mateos’ Col. Lindavista, C.P. 07738, México, D. F. (Mexico); Zhong, Qixin [Department of Food science and Technology, the University of Tennessee, Knoxville (United States); González-Soto, Rosalía A., E-mail: rsoto@ipn.mx [Centro de Desarrollo de Productos Bióticos, Instituto Politécnico Nacional, Km 6 carr Yautepec-Jojutla, Calle Ceprobi No. 8, Colonia San Isidro, Apartado Postal 24, C.P 62731, Yautepec, Morelos (Mexico)

    2013-10-15

    Rice and banana flours are inexpensive starchy materials that can form films with more improved properties than those made with their starch because flour and starch present different hydrophobicity. Montmorillonite (MMT) can be used to further improve the properties of starch-based films, which has not received much research attention for starchy flours. The aim of this work was to evaluate the mechanical and barrier properties of nanocomposite films of banana and rice flours as matrix material with addition of MMT as a nanofiller. MMT was modified using citric acid to produce intercalated structures, as verified by the X-ray diffraction pattern. The intercalated MMT was blended with flour slurries, and films were prepared by casting. Nanocomposite films of banana and rice flours presented an increase in the tensile at break and elongation percentage, respectively, more than their respective control films without MMT. This study showed that banana and rice flours could be alternative raw materials to use in making nanocomposite films. - Highlights: • Flour films presented adequate mechanical and barrier properties. • Addition of montmorillonite modified the mechanical and barrier properties of flour films. • The mechanical properties of the films were influenced by the different components of the flours. • The fiber of the banana flour improved the mechanical properties of the films.

  17. SOIL CHEMICAL ATTRIBUTES AND LEAF NUTRIENTS OF ‘PACOVAN’ BANANA UNDER TWO COVER CROPS

    Directory of Open Access Journals (Sweden)

    JOSÉ EGÍDIO FLORI

    2016-01-01

    Full Text Available Banana is one of the most consumed fruits in the world, which is grown in most tropical countries. The objective of this work was to evaluate the main attributes of soil fertility in a banana crop under two cover crops and two root development locations. The work was conducted in Curaçá, BA, Brazil, between October 2011 and May 2013, using a randomized block design in split plot with five repetitions. Two cover crops were assessed in the plots, the cover 1 consisting of Pueraria phaseoloides, and the cover 2 consisting of a crop mix with Sorghum bicolor, Ricinus communis L., Canavalia ensiformis, Mucuna aterrima and Zea mays, and two soil sampling locations in the subplots, between plants in the banana rows (location 1 and between the banana rows (location 2. There were significant and independent effects for the cover crop and sampling location factors for the variables organic matter, Ca and P, and significant effects for the interaction between cover crops and sampling locations for the variables potassium, magnesium and total exchangeable bases. The cover crop mix and the between-row location presented the highest organic matter content. Potassium was the nutrient with the highest negative variation from the initial content and its leaf content was below the reference value, however not reducing the crop yield. The banana crop associated with crop cover using the crop mix provided greater availability of nutrients in the soil compared to the coverage with tropical kudzu.

  18. I Have a Banana Tree in My Classroom

    Science.gov (United States)

    Williams, Patricia A.

    2007-01-01

    When the banana is growing, the broadest part of the banana is located at the bottom, while the tapered end points upward. It appears upside down, however, from the banana tree's perspective, it is growing right side up. The author observes that the students in her classroom labeled by society as "at risk," are also, in a sense, "upside down."…

  19. Multivariate Modelling of the Canary Islands Banana Output. The Role of Farmer Income Expectation

    Directory of Open Access Journals (Sweden)

    Concepción González-Concepción

    2008-01-01

    Full Text Available The EU is the world’s largest importer of bananas and the only major managed market in the international banana trade. Spain is the main banana producer within the European Union (EU, followed by France and Portugal. In all these countries the fruit is grown in overseas islands situated in tropical or sub-tropical areas and bananas are a pillar of the economic, social and environmental balance of these regions. Spanish production comes from the Canary Islands, an insular environment located in the Atlantic Ocean more than 1000 km south of the Iberian Peninsula and near the northwest coast of Africa. In the context of high production costs and strong competition from Latin American imports, the compensatory aid that local farmers have been receiving from the EU since 1993 has helped the archipelago to maintain its agricultural position while constituting a main support from an economic, social and landscaping standpoint. This research analyses the Canary Islands banana output evolution through the use of certain multivariate dynamic models that consider the influence of past production costs, past farmer income and future expectations, including a sensitivity analysis. We consider annual data time series on production, perceived prices and production costs for the period 1938-2002. Model predictions are contrasted using data for the period 2003-2006, thus spanning a wide period of time that includes key points such as the 1993 reform and the introduction of the 2006 reform. The empirical work highlights, as do all EU norms, the importance of maintaining adequate farmer income expectations to assure subsistence banana production.

  20. The Effects of Briquetting Pressure on Banana-Peel Briquette and the Banana Waste in Northern Thailand

    OpenAIRE

    Patomsok Wilaipon

    2009-01-01

    Banana is considered as one of the most important agricultural products of Northern Thailand. A large amount of banana peel has been left as garbage after industrial processes. The raw material is plentiful and has low economic value. Therefore, the characteristics of banana-peel briquettes including banana peel properties were investigated. The briquettes were produced with pressures ranging from 3 to 11 MPa. Molasses was used as the binder. According to some standard tests, it was found tha...

  1. Colored Noise Prediction Based on Neural Network

    Institute of Scientific and Technical Information of China (English)

    Gao Fei; Zhang Xiaohui

    2003-01-01

    A method for predicting colored noise by introducing prediction of nonhnear time series is presented By adopting three kinds of neural networks prediction models, the colored noise prediction is studied through changing the filter bandwidth for stochastic noise and the sampling rate for colored noise The results show that colored noise can be predicted The prediction error decreases with the increasing of the sampling rate or the narrowing of the filter bandwidth. If the parameters are selected properly, the prediction precision can meet the requirement of engineering implementation. The results offer a new reference way for increasing the ability for detecting weak signal in signal processing system

  2. Thermotherapy, chemotherapy, and meristem culture in banana.

    Science.gov (United States)

    Lassois, Ludivine; Lepoivre, Philippe; Swennen, Rony; van den Houwe, Ines; Panis, Bart

    2013-01-01

    Bananas that provide a staple food to the millions of people are adversely affected by several viruses such as Banana bunchy Top Virus (BBTV), Banana Streak Virus (BSV), and Cucumber Mosaic Virus (CMV). These viruses are known to have a devastating effect on crop production and constraint to the international exchange and conservation of banana germplasm-a cornerstone for breeding new cultivars. The viruses are particularly problematic in vegetative propagated crops, like bananas, because of their transmission in the planting material. Different virus eradication techniques have been developed, such as thermotherapy, chemotherapy, and meristem culture for providing virus-free planting material. Meristem culture proved to be the most effective procedure to eradicate phloem-associated viruses. This method requires isolation of meristematic dome of plant under the aseptic conditions and culture in an appropriate nutrient medium to develop new virus-free plants. Thermotherapy is another widely used virus eradication technique, which is initially carried out on in vivo or in vitro plants and eventually combined with meristem culture technique. The plantlets are initially grown at 28°C day temperature and increase it by 2°C per day until reaches 40°C and the night temperature at 28°C; maintain plants at 40°C for 4 weeks; excise meristem and culture onto the regeneration medium. In chemotherapy technique, antiviral chemical compound Virazole(®) is applied on meristem culture. Combination of these techniques is also applied to improve the eradication rate.

  3. 某公司租用土地开发香蕉项目综合效益分析%Analysis on Comprehensive Benefits of a Company Planting Banana on Rented Lands

    Institute of Scientific and Technical Information of China (English)

    沈西林

    2005-01-01

    A comprehensive evaluation is made in this article on the eco-benefit, social benefit, and economic benefit from banana planting of a company in three planting bases in Xinping County. Before the banana is planted, the land is classified into sloppy land, woodland and arable land We carefully study the three types of land, analyze the various effects and benefits made by banana planting on these types of land, and make a comprehensive comment.

  4. Production of haploids from anther culture of banana [Musa balbisiana (BB)].

    Science.gov (United States)

    Assani, A; Bakry, F; Kerbellec, F; Haïcour, R; Wenzel, G; Foroughi-Wehr, B

    2003-02-01

    We report here, for the first time, the production of haploid plants of banana Musa balbisiana (BB). Callus was induced from anthers in which the majority of the microspores were at the uninucleate stage. The frequency of callus induction was 77%. Callus proliferation usually preceded embryo formation. About 8% of the anthers developed androgenic embryos. Of the 147 plantlets obtained, 41 were haploids (n=x=11). The frequency of haploid production depended on genotypes used: 18 haploid plants were produced from genotype Pisang klutuk, 12 from Pisang batu, seven from Pisang klutuk wulung and four from Tani. The frequency of regeneration was 1.1%, which was based on the total number of anthers cultured. Diploid plants (2n=2x=22) were also observed in the regenerated plants. The haploid banana plants that were developed will be important material for the improvement of banana through breeding programmes.

  5. Predicting Scientific Success Based on Coauthorship Networks

    CERN Document Server

    Sarigöl, Emre; Scholtes, Ingo; Garas, Antonios; Schweitzer, Frank

    2014-01-01

    We address the question to what extent the success of scientific articles is due to social influence. Analyzing a data set of over 100000 publications from the field of Computer Science, we study how centrality in the coauthorship network differs between authors who have highly cited papers and those who do not. We further show that a machine learning classifier, based only on coauthorship network centrality measures at time of publication, is able to predict with high precision whether an article will be highly cited five years after publication. By this we provide quantitative insight into the social dimension of scientific publishing - challenging the perception of citations as an objective, socially unbiased measure of scientific success.

  6. Yeast leavened banana-bread: formulation, processing, color and texture analysis

    Science.gov (United States)

    Banana powder (BP) was added to Hard Red Spring Wheat flour (HRSW) intended for yeast-leavened bread formulation. Five different formulations containing 10, 15, 20, 25, and 30% BP were prepared with varying amounts of base flour, while vital gluten was maintained at 25% in all blends. Based on the...

  7. DMC modified algorithm based on time series prediction principle

    Institute of Scientific and Technical Information of China (English)

    齐维贵; 朱学莉

    2002-01-01

    The application of heating load prediction and predictive control to the heat supply system for energysaving and high quality heat supply is discussed by first introducing the time series prediction principle, and thesequence model, parameter identification and least variance prediction principle, and then giving the heatingload and model error prediction based on this principle. As an improvement of DMC algorithm, the load predic-tion is used as a set point of DMC, and the prediction error is used as a corrected value of predictive control.Finally, the simulation results of two prediction methods to heat supply system are given.

  8. Effects of high CO2 treatment on green-ripening and peel senescence in banana and plantain fruits

    Institute of Scientific and Technical Information of China (English)

    SONG Mu-bo; TANG Lu-ping; ZHANG Xue-lian; BAI Mei; PANG Xue-qun; ZHANG Zhao-qi

    2015-01-01

    Banana fruit (Musa, AAA group, cv. Brazil) peel fails to ful y degreen but the pulp ripens normal y at temperatures above 24°C. This abnormal ripening, known as green-ripening, does not occur in plantains (Musa, ABB group, cv. Dajiao). Based on the fact that un-completely yel owing was also observed for bananas in poorly ventilated atmospheres, in the present study, the effect of high CO2 with regular O2 (21%) on banana ripening was investigated along with that on plantains at 20°C. The results showed that high CO2 conferred different effects on the color changing of bananas and plantains. After 6 d ripening in 20%CO2, plantains ful y yel owed, while bananas retained high chlorophyl content and stayed green. In contrast to the differentiated color changing patterns, the patterns of the softening, starch degradation and soluble sugar accumulation in the pulp of 20%CO2 treated bananas and plantains displayed similarly as the patterns in the fruits ripening in regular air, indicating that the pulp ripening was not inhibited by 20%CO2, and the abnormal ripening of bananas in 20%CO2 can be considered as green ripening. Similar expression levels of chlorophyl degradation related genes, SGR, NYC and PaO, were detected in the peel of the control and treated fruits, indicating that the repressed degreening in 20%CO2 treated bananas was not due to the down-regulation of the chlorophyl degradation related genes. Compared to the effect on plantains, 20%CO2 WUHDWmHQW GHOD\\HG WKH GHFOLQH LQ WKH FKORURSK\\O ÀRUHVFHQFH Fv/Fm) values and in the mRNA levels of a gene coding smal subunit of Rubisco (SSU), and postponed the disruption of the ultrastructure of chloroplast in the peel tissue of bananas, indicating that the senescence of the green cel s in the exocarp layer was delayed by 20%CO2, to more extent in bananas than in plantains. High CO2 reduced the ethylene production and the expression of the related biosynthesis gene, ACS, but elevated the respiration rates in both

  9. Professor Schmidt’s Banana Cake Recipe

    DEFF Research Database (Denmark)

    Schmidt, Bjarne

    2016-01-01

    In this paper we present the recipe of the (not yet) famous banana cake. The recipe has a solid background in the literature, but our experiments have shown that the outcome can be improved significantly by doping the batter with different kinds of ingredients.......In this paper we present the recipe of the (not yet) famous banana cake. The recipe has a solid background in the literature, but our experiments have shown that the outcome can be improved significantly by doping the batter with different kinds of ingredients....

  10. Phenolic constituents in irradiated banana fruit tissues

    International Nuclear Information System (INIS)

    The ''Hom Tong'' banana fruits grown in Thailand irradiated at 10, 20, 30 and 40 Krad and stored at 170C were used for analyses. The total phenolic compounds observed in irradiated fruits were higher than non-irradiated ones after harvested and 7 days of storage. The total phenolic components in the pulp of banana fruits were decreased during ripening when stored from 7-35 days. However, the phenolic constituents become increased again after 21 days of storage at the doses of 20 and 40 Krad due to the infected fruits by the fungus during the fruits approached to over ripe

  11. Substituting Wheat Flour with Banana Skin Flour from Mixture Various Skin Types of Banana on Making Donuts

    OpenAIRE

    Renny Futeri; Pharmayeni Pharmayeni

    2014-01-01

    Tropical forest plants is a very rich source of chemical compounds or bioactive efficacious . Many of the compounds potential as a source of raw materials in food processing . One is the banana plant , West Sumatra Padang and Bukittinggi is one area in Indonesia with banana . Generally people in West Sumatra just consume or eat the fruit and throw banana skin just because it is considered as waste ( waste banana peel ) . When the banana peel waste is left alone so do not rule out the possibil...

  12. Phenylphenalenones Accumulate in Plant Tissues of Two Banana Cultivars in Response to Herbivory by the Banana Weevil and Banana Stem Weevil

    Science.gov (United States)

    Hölscher, Dirk; Buerkert, Andreas; Schneider, Bernd

    2016-01-01

    Phenylphenalenone-type compounds accumulated in the tissues of two banana cultivars—Musa acuminata cv. “Grande Naine” (AAA) and Musa acuminata × balbisiana Colla cv. “Bluggoe” (ABB)—when these were fed on by the banana weevil (Cosmopolites sordidus (Germ.) (Coleoptera: Curculionidae)) and the banana stem weevil (Odoiporus longicollis (Oliver) (Coleoptera: Curculionidae)). The chemical constituents of the banana material were separated by means of chromatographic techniques and identified by NMR spectroscopy. One new compound, 2-methoxy-4-phenylphenalen-1-one, was found exclusively in the corm material of “Bluggoe” that had been fed on by the weevils. PMID:27571112

  13. Phenylphenalenones Accumulate in Plant Tissues of Two Banana Cultivars in Response to Herbivory by the Banana Weevil and Banana Stem Weevil.

    Science.gov (United States)

    Hölscher, Dirk; Buerkert, Andreas; Schneider, Bernd

    2016-01-01

    Phenylphenalenone-type compounds accumulated in the tissues of two banana cultivars-Musa acuminata cv. "Grande Naine" (AAA) and Musa acuminata × balbisiana Colla cv. "Bluggoe" (ABB)-when these were fed on by the banana weevil (Cosmopolites sordidus (Germ.) (Coleoptera: Curculionidae)) and the banana stem weevil (Odoiporus longicollis (Oliver) (Coleoptera: Curculionidae)). The chemical constituents of the banana material were separated by means of chromatographic techniques and identified by NMR spectroscopy. One new compound, 2-methoxy-4-phenylphenalen-1-one, was found exclusively in the corm material of "Bluggoe" that had been fed on by the weevils. PMID:27571112

  14. Design of Banana Stalk Cutting Machine Based on Hydraulic System%基于液压系统控制的香蕉秸秆切片机的设计

    Institute of Scientific and Technical Information of China (English)

    张慧; 张燕

    2014-01-01

    香蕉产业在海南经济中占有很大的比重,但香蕉生产的同时也产生了75%左右的香蕉茎叶副产物。完成香蕉采摘后,剩余的茎叶等废弃不用,造成了资源的严重浪费。为此,设计了一种新型的香蕉秸秆切片机,采用上下刀盘偏置高速交替旋转切削的方法,并以高压气体辅助切削,以达到良好的切片效果和质量,并采用液压控制系统对整个投料、切削过程进行自动控制,从而节省了人力,大大提高了秸秆切片的效率和资源的再回收利用率,减轻了因香蕉秸秆处理不当所造成的废物和废气对人体的危害,促进香蕉茎叶副产品产业化及商品化的发展。%The banana industry occupies a large proportion in Hainan economy , but also produced about 75%of the ba-nana leaf byproducts of banana production at the same time .Complete the banana after picking , the rest of the stems and leaves are discarded , causing a serious waste of resources .So we designed a banana stalk cutting machine model , using the method of upper and lower cutter offset high-speed rotation of cutting , and the high pressure gas assisted cutting , in order to achieve the slicing effect and good quality .And the whole feeding hydraulic control system , the cutting process is automatically controlled , thereby saving manpower , greatly improving the efficiency of straw slice , recycling in order to improve the utilization rate of resources , reduce the harm of banana straw due to improper handling caused by waste and waste gas on the human body , and will promote the banana stems and leaves of vice industry the development of industri -alization , commercialization .

  15. Ecuadorian banana farms should consider organic banana with low price risks in their land-use portfolios.

    Science.gov (United States)

    Castro, Luz Maria; Calvas, Baltazar; Knoke, Thomas

    2015-01-01

    Organic farming is a more environmentally friendly form of land use than conventional agriculture. However, recent studies point out production tradeoffs that often prevent the adoption of such practices by farmers. Our study shows with the example of organic banana production in Ecuador that economic tradeoffs depend much on the approach of the analysis. We test, if organic banana should be included in economic land-use portfolios, which indicate how much of the land is provided for which type of land-use. We use time series data for productivity and prices over 30 years to compute the economic return (as annualized net present value) and its volatility (with standard deviation as risk measure) for eight crops to derive land-use portfolios for different levels of risk, which maximize economic return. We find that organic banana is included in land-use portfolios for almost every level of accepted risk with proportions from 1% to maximally 32%, even if the same high uncertainty as for conventional banana is simulated for organic banana. A more realistic, lower simulated price risk increased the proportion of organic banana substantially to up to 57% and increased annual economic returns by up to US$ 187 per ha. Under an assumed integration of both markets, for organic and conventional banana, simulated by an increased coefficient of correlation of economic return from organic and conventional banana (ρ up to +0.7), organic banana holds significant portions in the land-use portfolios tested only, if a low price risk of organic banana is considered. We conclude that uncertainty is a key issue for the adoption of organic banana. As historic data support a low price risk for organic banana compared to conventional banana, Ecuadorian farmers should consider organic banana as an advantageous land-use option in their land-use portfolios. PMID:25799506

  16. Ecuadorian banana farms should consider organic banana with low price risks in their land-use portfolios.

    Directory of Open Access Journals (Sweden)

    Luz Maria Castro

    Full Text Available Organic farming is a more environmentally friendly form of land use than conventional agriculture. However, recent studies point out production tradeoffs that often prevent the adoption of such practices by farmers. Our study shows with the example of organic banana production in Ecuador that economic tradeoffs depend much on the approach of the analysis. We test, if organic banana should be included in economic land-use portfolios, which indicate how much of the land is provided for which type of land-use. We use time series data for productivity and prices over 30 years to compute the economic return (as annualized net present value and its volatility (with standard deviation as risk measure for eight crops to derive land-use portfolios for different levels of risk, which maximize economic return. We find that organic banana is included in land-use portfolios for almost every level of accepted risk with proportions from 1% to maximally 32%, even if the same high uncertainty as for conventional banana is simulated for organic banana. A more realistic, lower simulated price risk increased the proportion of organic banana substantially to up to 57% and increased annual economic returns by up to US$ 187 per ha. Under an assumed integration of both markets, for organic and conventional banana, simulated by an increased coefficient of correlation of economic return from organic and conventional banana (ρ up to +0.7, organic banana holds significant portions in the land-use portfolios tested only, if a low price risk of organic banana is considered. We conclude that uncertainty is a key issue for the adoption of organic banana. As historic data support a low price risk for organic banana compared to conventional banana, Ecuadorian farmers should consider organic banana as an advantageous land-use option in their land-use portfolios.

  17. Ecuadorian Banana Farms Should Consider Organic Banana with Low Price Risks in Their Land-Use Portfolios

    Science.gov (United States)

    Castro, Luz Maria; Calvas, Baltazar; Knoke, Thomas

    2015-01-01

    Organic farming is a more environmentally friendly form of land use than conventional agriculture. However, recent studies point out production tradeoffs that often prevent the adoption of such practices by farmers. Our study shows with the example of organic banana production in Ecuador that economic tradeoffs depend much on the approach of the analysis. We test, if organic banana should be included in economic land-use portfolios, which indicate how much of the land is provided for which type of land-use. We use time series data for productivity and prices over 30 years to compute the economic return (as annualized net present value) and its volatility (with standard deviation as risk measure) for eight crops to derive land-use portfolios for different levels of risk, which maximize economic return. We find that organic banana is included in land-use portfolios for almost every level of accepted risk with proportions from 1% to maximally 32%, even if the same high uncertainty as for conventional banana is simulated for organic banana. A more realistic, lower simulated price risk increased the proportion of organic banana substantially to up to 57% and increased annual economic returns by up to US$ 187 per ha. Under an assumed integration of both markets, for organic and conventional banana, simulated by an increased coefficient of correlation of economic return from organic and conventional banana (ρ up to +0.7), organic banana holds significant portions in the land-use portfolios tested only, if a low price risk of organic banana is considered. We conclude that uncertainty is a key issue for the adoption of organic banana. As historic data support a low price risk for organic banana compared to conventional banana, Ecuadorian farmers should consider organic banana as an advantageous land-use option in their land-use portfolios. PMID:25799506

  18. Production of biocontrol traits by banana field fluorescent Pseudomonads and comparison with chemical fungicide.

    Science.gov (United States)

    Shaikh, S S; Patel, P R; Patel, S S; Nikam, S D; Rane, T U; Sayyed, R Z

    2014-09-01

    Pseudomonas aeruginosa isolated from banana field rhizosphere produced different antifungal metabolites like bactriocin, hydrogen cyanide and siderophore. Bacteriocinogenic, siderophoregenic, and HCN rich broth of isolate inhibited the growth of phytopathogen like Aspergilus niger, Aspergilus flavus, Fusarium oxysporum and Alternaria alternata. The isolate exhibited more antifungal activity and comparatively low MIC vis-a-vis commonly used copper based systemic chemical fungicide;bil cop.

  19. Traditional and Medicinal Uses of Banana

    Directory of Open Access Journals (Sweden)

    K. P. Sampath Kumar

    2012-09-01

    Full Text Available Banana is the common name for herbaceous plants of the genus Musa and for the fruit they produce. It is one of the oldest cultivated plants. All parts of the banana plant have medicinal applications: the flowers in bronchitis and dysentery and on ulcers; cooked flowers are given to diabetics; the astringent plant sap in cases of hysteria, epilepsy, leprosy, fevers, hemorrhages, acute dysentery and diarrhea, and it is applied on hemorrhoids, insect and other stings and bites; young leaves are placed as poultices on burns and other skin afflictions; the astringent ashes of the unripe peel and of the leaves are taken in dysentery and diarrhea and used for treating malignant ulcers; the roots are administered in digestive disorders, dysentery and other ailments; banana seed mucilage is given in cases of diarrhea in India. Antifungal and antibiotic principles are found in the peel and pulp of fully ripe bananas. The antibiotic acts against Mycobacteria. A fungicide in the peel and pulp of green fruits is active against a fungus disease of tomato plants. Norepinephrine, dopamine, and serotonin are also present in the ripe peel and pulp. The first two elevate blood pressure; serotonin inhibits gastric secretion and stimulates the smooth muscle of the intestines.

  20. Love Is Like a Squished Banana

    Science.gov (United States)

    Brown, Stephen

    1976-01-01

    An unemployed poet obtained a CETA public service job as a teacher's aide in Marin County, California, where he has guided elementary children's imaginative projects. His experiences are described. He has published a volume of the children's verse under the title "Love Is Like a Squished Banana." (AJ)

  1. Community Detection Based on Link Prediction Methods

    CERN Document Server

    Cheng, Hui-Min

    2016-01-01

    Community detection and link prediction are both of great significance in network analysis, which provide very valuable insights into topological structures of the network from diffrent perspectives. In this paper, we propose a novel community detection algorithm with inclusion of link prediction, motivated by the question whether link prediction can be devoted to improve the accuracy of community partition. For link prediction, we propose two novel indices to compute the similarity between each pair of nodes, one of which aims to add missing links, and the other tries to remove spurious edges. Extensive experiments are conducted on benchmark data sets, and the results of our proposed algorithm are compared with two classes of baselines. In conclusion, our proposed algorithm is competitive, revealing that link prediction does improve the precision of community detection.

  2. Petunia floral defensins with unique prodomains as novel candidates for development of fusarium wilt resistance in transgenic banana plants.

    Directory of Open Access Journals (Sweden)

    Siddhesh B Ghag

    Full Text Available Antimicrobial peptides are a potent group of defense active molecules that have been utilized in developing resistance against a multitude of plant pathogens. Floral defensins constitute a group of cysteine-rich peptides showing potent growth inhibition of pathogenic filamentous fungi especially Fusarium oxysporum in vitro. Full length genes coding for two Petunia floral defensins, PhDef1 and PhDef2 having unique C-terminal 31 and 27 amino acid long predicted prodomains, were overexpressed in transgenic banana plants using embryogenic cells as explants for Agrobacterium-mediated genetic transformation. High level constitutive expression of these defensins in elite banana cv. Rasthali led to significant resistance against infection of Fusarium oxysporum f. sp. cubense as shown by in vitro and ex vivo bioassay studies. Transgenic banana lines expressing either of the two defensins were clearly less chlorotic and had significantly less infestation and discoloration in the vital corm region of the plant as compared to untransformed controls. Transgenic banana plants expressing high level of full-length PhDef1 and PhDef2 were phenotypically normal and no stunting was observed. In conclusion, our results suggest that high-level constitutive expression of floral defensins having distinctive prodomains is an efficient strategy for development of fungal resistance in economically important fruit crops like banana.

  3. Interplanting banana at high densities with immature rubber crop for improved water use

    OpenAIRE

    Harischandra Lakshman Rodrigo, Vitharanage; Maeve Stirling, Clare; Teklehaimanot, Zewge; Kusum Samarasekera, Renuka; Dharmasiri Pathirana, Pathiranage

    2005-01-01

    International audience Consumptive water use of the rubber/banana intercropping systems was assessed. Five systems were tested; sole rubber (R) and banana (B) crops and three intercrops comprising additive series of one (BR), two (BBR) and three (BBBR) rows banana to one row of rubber. Planting density of rubber remained constant across the treatments, hence the rate of transpiration associated closely with the planting density of banana with ca. 140% increase from banana-rubber to banana-...

  4. Neural Fuzzy Inference System-Based Weather Prediction Model and Its Precipitation Predicting Experiment

    Directory of Open Access Journals (Sweden)

    Jing Lu

    2014-11-01

    Full Text Available We propose a weather prediction model in this article based on neural network and fuzzy inference system (NFIS-WPM, and then apply it to predict daily fuzzy precipitation given meteorological premises for testing. The model consists of two parts: the first part is the “fuzzy rule-based neural network”, which simulates sequential relations among fuzzy sets using artificial neural network; and the second part is the “neural fuzzy inference system”, which is based on the first part, but could learn new fuzzy rules from the previous ones according to the algorithm we proposed. NFIS-WPM (High Pro and NFIS-WPM (Ave are improved versions of this model. It is well known that the need for accurate weather prediction is apparent when considering the benefits. However, the excessive pursuit of accuracy in weather prediction makes some of the “accurate” prediction results meaningless and the numerical prediction model is often complex and time-consuming. By adapting this novel model to a precipitation prediction problem, we make the predicted outcomes of precipitation more accurate and the prediction methods simpler than by using the complex numerical forecasting model that would occupy large computation resources, be time-consuming and which has a low predictive accuracy rate. Accordingly, we achieve more accurate predictive precipitation results than by using traditional artificial neural networks that have low predictive accuracy.

  5. Artificial neural network modelling of the antioxidant activity and phenolic compounds of bananas submitted to different drying treatments.

    Science.gov (United States)

    Guiné, Raquel P F; Barroca, Maria João; Gonçalves, Fernando J; Alves, Mariana; Oliveira, Solange; Mendes, Mateus

    2015-02-01

    Bananas (cv. Musa nana and Musa cavendishii) fresh and dried by hot air at 50 and 70°C and lyophilisation were analysed for phenolic contents and antioxidant activity. All samples were subject to six extractions (three with methanol followed by three with acetone/water solution). The experimental data served to train a neural network adequate to describe the experimental observations for both output variables studied: total phenols and antioxidant activity. The results show that both bananas are similar and air drying decreased total phenols and antioxidant activity for both temperatures, whereas lyophilisation decreased the phenolic content in a lesser extent. Neural network experiments showed that antioxidant activity and phenolic compounds can be predicted accurately from the input variables: banana variety, dryness state and type and order of extract. Drying state and extract order were found to have larger impact in the values of antioxidant activity and phenolic compounds.

  6. Predictive visual tracking based on least absolute deviation estimation

    Institute of Scientific and Technical Information of China (English)

    Rongtai Cai; Yanjie Wang

    2008-01-01

    To cope with the occlusion and intersection between targets and the environment, location prediction is employed in the visual tracking system. Target trace is fitted by sliding subsection polynomials based on least absolute deviation (LAD) estimation, and the future location of target is predicted with the fitted trace. Experiment results show that the proposed location prediction algorithm based on LAD estimation has significant robustness advantages over least square (LS) estimation, and it is more effective than LS-based methods in visual tracking.

  7. Activity Prediction: A Twitter-based Exploration

    OpenAIRE

    Weerkamp, W.; Rijke, de, M.

    2012-01-01

    Social media platforms allow users to share their messages with everyone else. In microblogs, e.g., Twitter, people mostly report on what they did, they talk about current activities, and mention things they plan to do in the near future. In this paper, we propose the task of activity prediction, that is, trying to establish a set of activities that are likely to become popular at a later time. We perform a small-scale initial experiment, in which we try to predict popular activities for the ...

  8. Modelling change in color and firmness of baby banana (musa acuminata aa) in modified atmosphere packaging

    OpenAIRE

    Castellanos Espinosa, Diego; Algecira Enciso, Néstor

    2012-01-01

    To determine the change in the ripening stage and quality through associated variables such as firmness and peel color is a useful tool for predicting the behavior and involvement of the product stored at different changing conditions. The change in O2 and CO2 concentration, pulp firmness and peel color were measured in a test of modified atmosphere packaging for baby banana to develop a mathematical model to represent the change in firmness and color as a function of temperature, mixture of ...

  9. De Novo characterization of the banana root transcriptome and analysis of gene expression under Fusarium oxysporum f. sp. Cubense tropical race 4 infection

    Directory of Open Access Journals (Sweden)

    Wang Zhuo

    2012-11-01

    Full Text Available Abstract Background Bananas and plantains (Musa spp. are among the most important crops in the world due to their nutritional and export value. However, banana production has been devastated by fungal infestations caused by Fusarium oxysporum f. sp. cubense (Foc, which cannot be effectively prevented or controlled. Since there is very little known about the molecular mechanism of Foc infections; therefore, we aimed to investigate the transcriptional changes induced by Foc in banana roots. Results We generated a cDNA library from total RNA isolated from banana roots infected with Foc Tropical Race 4 (Foc TR 4 at days 0, 2, 4, and 6. We generated over 26 million high-quality reads from the cDNA library using deep sequencing and assembled 25,158 distinct gene sequences by de novo assembly and gap-filling. The average distinct gene sequence length was 1,439 base pairs. A total of 21,622 (85.94% unique sequences were annotated and 11,611 were assigned to specific metabolic pathways using the Kyoto Encyclopedia of Genes and Genomes database. We used digital gene expression (DGE profiling to investigate the transcriptional changes in the banana root upon Foc TR4 infection. The expression of genes in the Phenylalanine metabolism, phenylpropanoid biosynthesis and alpha-linolenic acid metabolism pathways was affected by Foc TR4 infection. Conclusion The combination of RNA-Seq and DGE analysis provides a powerful method for analyzing the banana root transcriptome and investigating the transcriptional changes during the response of banana genes to Foc TR4 infection. The assembled banana transcriptome provides an important resource for future investigations about the banana crop as well as the diseases that plague this valuable staple food.

  10. Natural product of wild Zingiberaceae Elettariopsis slahmong: biopesticide to control the vector of banana blood disease bacterium in West Sumatera, Indonesia.

    Science.gov (United States)

    Nasir, N; Dharma, A; Efdi, M; Yuhendra; Eliesti, F

    2013-01-01

    Banana is one of the most important food crops in Indonesia. Its production is greater than any other agricultural commodity. With the population of 230 million in 2010, banana was consumed up to three million tons in this country. However, Banana Blood Disease Bacterium (BDB), one of the most devastating banana pathogens in the world, which is only found in Indonesia, threatens not only the growth of this plant but also the lives and the livelihoods for most of the Indonesian society. BDB is caused by a lethal bacteria, Ralstonia solanacearum Phylotype-4, which infects a wide range of bananas, from bananas used for consumption to wild bananas. In West Sumatera, the disease killed 1.40% of bananas in 1998, and then increased dramatically to 37.9% in 2003. The total banana production dropped to 62% in this province. The search for controlling the vector has led to the pre-investigation of Wild Zingiberaceae Elettariopsis slahmong C.K. Lim which has a stink bug odour similar to a methidathion insecticide. The plant was collected around the conservation area of Lembah Anal in West Sumatra. The goal of this study was to investigate the effectiveness of natural insecticides compound contained in E. slahmong against D. melanogaster. This study tested the effect of E. slahmong on the mortality, anti-feedant and repellent levels against Drosophila melanogaster, the vector of BDB. The essential oil of E. slahmong was obtained by steam distillation of fresh rhizomes, pseudo stems and leaves. We found that the extract of E. slahmong significantly affected the mortality of D. melanogaster of 30-40% and also acted as an antifeedant (with success rate of 73-93%) and repellent (with success rate of 99-99.6%). The long- term objective of this study is to develop green biopesticide to control BDB in Indonesia, based on an environmentally friendly pest management.

  11. Theoretical bases analysis of scientific prediction on marketing principles

    OpenAIRE

    A.S. Rosohata

    2012-01-01

    The article presents an overview categorical apparatus of scientific predictions and theoretical foundations results of scientific forecasting. They are integral part of effective management of economic activities. The approaches to the prediction of scientists in different fields of Social science and the categories modification of scientific prediction, based on principles of marketing are proposed.

  12. Theoretical bases analysis of scientific prediction on marketing principles

    Directory of Open Access Journals (Sweden)

    A.S. Rosohata

    2012-06-01

    Full Text Available The article presents an overview categorical apparatus of scientific predictions and theoretical foundations results of scientific forecasting. They are integral part of effective management of economic activities. The approaches to the prediction of scientists in different fields of Social science and the categories modification of scientific prediction, based on principles of marketing are proposed.

  13. Isolation of retro-transcribed RNA from in vitro Mycosphaerella fijiensis-infected banana leaves.

    Science.gov (United States)

    Rodríguez-García, C M; Peraza-Echeverría, L; Islas-Flores, I R; Canto-Canché, B B; Grijalva-Arango, R

    2010-07-27

    High polyphenol and polysaccharide levels in plant tissues such as banana fruit and leaves constitute a significant challenge to the extraction of sufficient amounts of high-quality RNA required for cDNA library synthesis and molecular analysis. To determine their comparative effectiveness at eliminating polyphenols, polysaccharides and proteins, three protocols for RNA extraction from in vitro banana plantlet leaves were tested: Concert(TM) Plant RNA isolation kit, a small-scale protocol based on Valderrama-Cháirez, and a modified version of the Valderrama-Cháirez protocol. RNA quantity and purity were evaluated by UV-spectrophotometry using DEPC-treated water and Tris-HCl, pH 7.5. Purity was greater using Tris-HCl. The Concert(TM) Plant protocol produced the poorest quality RNA. Reverse transcription into cDNAs from RNA isolated from in vitro banana plantlet leaves infected with Mycosphaerella fijiensis using the modified Valderrama-Cháirez protocol, followed by PCR using primers designed against gamma-actin from banana and M. fijiensis, yielded products of the anticipated size. In addition, this protocol reduced the processing time, lowered costs, used less expensive equipment, and could be used for other plants that have the same problems with high polyphenol and polysaccharide levels.

  14. Ethanol Production from Banana Fruit and its Lignocellulosic Residues: Exergy and Renewability Analysis

    Directory of Open Access Journals (Sweden)

    Silvio de Oliveira Júnior

    2009-09-01

    Full Text Available

    Tropical countries such as Brazil and Colombia have the possibility of using their lands for growing vegetable products to produce biofuels such as biodiesel and ethanol. The objective of this work is to apply exergy analysis to evaluate the renewability of anhydrous ethanol production from surplus banana fruit production and its residual biomass. The study takes into account all production stages: growing, feedstock transport, hydrolysis, fermentation, distillation, and dehydration. It also considers the cogeneration plant and residues treatment. Four production routes were analyzed according to the biomass used as feedstock: banana pulp, banana fruit, hanging cluster or banana skin. Based on the exergy concept, performance indicators are proposed and calculated. In order to quantify the renewability of the ethanol production processes, a new indicator called “Renewability Performance Indicator” is defined and applied to the four ethanol production routes studied. The results show that when amilaceous material is used, better results than lignocellulosic material are obtained and four production processes studied must be classified as non-renewable.

    • This paper is an updated version of a paper published in the ECOS'08 proceedings. 

  15. Genetic variability among 18 cultivars of cooking bananas and plantains by RAPD and ISSR markers

    Directory of Open Access Journals (Sweden)

    YUYU SURYASARI POERBA

    2010-07-01

    Full Text Available Poerba YS, Ahmad F (2010 Genetic variability among 18 cultivars of cooking bananas and plantains by RAPD and ISSR markers. Biodiversitas 11: 118-123. This study was done to assess the molecular diversity of 36 accessions (18 cultivars of the plantain and cooking bananas (Musa acuminata x M. balbisiana, AAB, ABB subgroups based on Random amplified polymorphic DNA (RAPD and and Inter Simple Sequence Repeats (ISSR markers and to determine genetic relationships in the bananas. RAPD and ISSR fingerprinting of these banana varieties was carried out by five primers of RAPDs and two primers of ISSRs. RAPD primers produced 63 amplified fragments varying from 250 to 2500 bp in size. 96.82% of the amplification bands were polymorphic. ISSR primers produced 26 amplified fragments varying from 350 bp to 2000 bp in size. The results showed that 92.86% of the amplification bands were polymorphic. The range of genetic distance of 18 cultivars was from 0.06-0.67.

  16. Structural properties and digestion of green banana flour as a functional ingredient in pasta.

    Science.gov (United States)

    Zheng, Zeqi; Stanley, Roger; Gidley, Michael J; Dhital, Sushil

    2016-02-01

    Gluten free pasta was made from raw banana flour in combination with vegetable gums and protein for comparison to pasta similarly made from wheat flour. After cooking, it was found that the banana flour pasta was less susceptible to alpha-amylase digestion compared to conventional wheat flour pasta. Release of glucose by alpha-amylase digestion followed first order kinetics with an initial rapid rate of digestion and a subsequent second slower phase. The structure of green banana pasta starch at the inner and outer pasta surfaces was observed under confocal laser scanning microscopy (CLSM) and the viscosities of the flour mixtures were measured by a Rapid Visco Analyser (RVA). The digestibility of banana flour pasta was found to be related, not only to the properties of the starch granules, but also to the protein network of the surrounding food matrix. The effects of gums and proteins on pasta formation and digestibility are discussed in the context of its potential use as a gluten free lower glycaemic alternative to conventional wheat based pastas. PMID:26632017

  17. Structural properties and digestion of green banana flour as a functional ingredient in pasta.

    Science.gov (United States)

    Zheng, Zeqi; Stanley, Roger; Gidley, Michael J; Dhital, Sushil

    2016-02-01

    Gluten free pasta was made from raw banana flour in combination with vegetable gums and protein for comparison to pasta similarly made from wheat flour. After cooking, it was found that the banana flour pasta was less susceptible to alpha-amylase digestion compared to conventional wheat flour pasta. Release of glucose by alpha-amylase digestion followed first order kinetics with an initial rapid rate of digestion and a subsequent second slower phase. The structure of green banana pasta starch at the inner and outer pasta surfaces was observed under confocal laser scanning microscopy (CLSM) and the viscosities of the flour mixtures were measured by a Rapid Visco Analyser (RVA). The digestibility of banana flour pasta was found to be related, not only to the properties of the starch granules, but also to the protein network of the surrounding food matrix. The effects of gums and proteins on pasta formation and digestibility are discussed in the context of its potential use as a gluten free lower glycaemic alternative to conventional wheat based pastas.

  18. A BRB Based Fault Prediction Method of Complex Electromechanical Systems

    Directory of Open Access Journals (Sweden)

    Bangcheng Zhang

    2015-01-01

    Full Text Available Fault prediction is an effective and important approach to improve the reliability and reduce the risk of accidents for complex electromechanical systems. In order to use the quantitative information and qualitative knowledge efficiently to predict the fault, a new model is proposed on the basis of belief rule base (BRB. Moreover, an evidential reasoning (ER based optimal algorithm is developed to train the fault prediction model. The screw failure in computer numerical control (CNC milling machine servo system is taken as an example and the fault prediction results show that the proposed method can predict the behavior of the system accurately with combining qualitative knowledge and some quantitative information.

  19. Dairy-Banana Integration and Organic Fertilizer Use in Uganda

    OpenAIRE

    Takashi Yamano

    2008-01-01

    An intensive dairy and crop farming system found in the East African highlands provides manure and urine, taken from stalls of improved dairy cattle, for crops such as banana. By using panel data of 894 rural households in 2003 and 2005 in Uganda, we find that the number of improved cattle per ha increases the organic fertilizer application on banana plots by 218 kilograms per ha. We also find that banana farmers applied more organic fertilizer on less fertile soils. Regarding banana yield, w...

  20. Pasta with unripe banana flour: physical, texture, and preference study.

    Science.gov (United States)

    Agama-Acevedo, Edith; Islas-Hernandez, José J; Osorio-Díaz, Perla; Rendón-Villalobos, Rodolfo; Utrilla-Coello, Rubí G; Angulo, Ofelia; Bello-Pérez, Luis A

    2009-08-01

    Banana is a starchy food that contains a high proportion of undigestible compounds such as resistant starch and nonstarch polysaccharides. Products with low glycemic response such as pasta are considered favorable to health. The objective of this study was to use unripe banana flour to make spaghetti with low-carbohydrates digestibility and evaluate its physical and texture characteristics, as well as consumer preference. Formulations with 100% durum wheat semolina (control) and formulations with 3 semolina: banana flour ratios (85: 15, 70: 30, and 55: 45) were prepared for spaghetti processing. The use of banana flour decreased the lightness and diameter of cooked spaghetti, and increased the water absorption of the product. Hardness and elasticity of spaghetti were not affected by banana flour, but adhesiveness and chewiness increased as the banana flour level in the blend rose. Spaghettis prepared in the laboratory (control and those with banana flour) did not show differences in preference by consumers. In general, the preference of spaghettis with different banana flour level was similar. The addition of a source of undigestible carbohydrates (banana flour) to spaghetti is possible without affecting the consumer preference.

  1. Optimization of extraction parameters on the antioxidant properties of banana waste

    Directory of Open Access Journals (Sweden)

    Pui Yee Toh

    2016-03-01

    Full Text Available Background. Banana is grown worldwide and consumed as ripe fruit or used for culinary purposes. Peels form about 18–33% of the whole fruit and are discarded as a waste product. With a view to exploiting banana peel as a source of valuable compounds, this study was undertaken to evaluate the effect of different extrac- tion parameters on the antioxidant activities of the industrial by-product of banana waste (peel. Materials and methods. Influence of different extraction parameters such as types of solvent, percentages of solvent, and extraction times on total phenolic content (TPC and antioxidant activity of mature and green peels of Pisang Abu (PA, Pisang Berangan (PB, and Pisang Mas (PM were investigated. The best extrac- tion parameters were initially selected based on different percentages of ethanol (0–100% v/v, extraction time (1–5 hr, and extraction temperature (25–60°C for extraction of antioxidants in the banana peels. Total phenolic content (TPC was evaluated using Folin-Ciocalteu reagent assay while antioxidant activities (AA of banana peel were accessed by DPPH, ABTS, and β-carotene bleaching (BCB assays at optimum extrac- tion conditions. Results. Based on different extraction solvents and percentages of solvents used, 70% and 90% of acetone had yielded the highest TPC for the mature and green PA peels, respectively; 90% of ethanol and methanol has yielded the highest TPC for the mature and green PB peels, respectively; while 90% ethanol for the mature and green PM peels. Similar extraction conditions were found for the antioxidant activities for the banana peel assessed using DPPH assay except for green PB peel, which 70% methanol had contributed to the highest AA. Highest TPC and AA were obtained by applying 4, 1, and 2 hrs extraction for the peels of PA, PB and PM, respectively. The best extraction conditions were also used for determination of AAs using ABTS and β-carotene bleaching assays. Therefore, the best

  2. HERBASPIRILLUM-LIKE BACTERIA IN BANANA PLANTS

    Directory of Open Access Journals (Sweden)

    Weber Olmar B.

    2001-01-01

    Full Text Available Diazotrophic bacteria isolated from banana plants were characterized by morphological and physiological aspects. Three different groups of these plant-bacteria could be established. Two of them showed similarity to species of the Herbaspirillum genus. The third one was different because used only a few carbon substrates and produced water diffusible compounds that fluoresced under UV light. All three bacterial groups were thin rods with mono or bipolar flagella, presented negative reaction in Gram stain, showed catalase activity, were able to reduce nitrate and grew better in semi-solid JNFb medium at 31ºC. The nitrogenase activity was detected in semi-solid N-free JNFb medium and expressed higher values when pH ranged from 6.5 to 7.0 (groups I and II and 6.0 to 6.5 (group III. The diazotrophs isolated from banana plants were distinct from species of Herbaspirillum previously identified in gramineous plants.

  3. Feature Selection for Neural Network Based Stock Prediction

    Science.gov (United States)

    Sugunnasil, Prompong; Somhom, Samerkae

    We propose a new methodology of feature selection for stock movement prediction. The methodology is based upon finding those features which minimize the correlation relation function. We first produce all the combination of feature and evaluate each of them by using our evaluate function. We search through the generated set with hill climbing approach. The self-organizing map based stock prediction model is utilized as the prediction method. We conduct the experiment on data sets of the Microsoft Corporation, General Electric Co. and Ford Motor Co. The results show that our feature selection method can improve the efficiency of the neural network based stock prediction.

  4. Principal Component Analysis and Its Application on Banana Fields Mapping Using ENVISAT ASAR Data in Zhang zhou, Fujian Province%基于主成分分析的ENVISAT ASAR数据在福建省漳州市香蕉园地提取中的应用

    Institute of Scientific and Technical Information of China (English)

    汪小钦; 王钦敏; 凌飞龙; 朱晓铃; 江洪

    2009-01-01

    Banana is one of the main economic agrotypes in Zhangzhou, Fujian Province. The multi-temporal ENVISAT ASAR data with different polarization are used to classify the banana fields in this paper. Principal component analysis (PCA) was applied for six pairs of ASAR dual-polarization data. For its large leaves, banana has high backscatter. So the value of banana fields is high and shows very bright in the 1st component, which makes it much easier for banana fields extraction.Dual-polarization data provide more information, and the VV and VH backscatter of banana show different characters with other land covers. Based on the analysis of the radar signature of banana fields and other land covers and the 1st component, banana fields are classified using object-oriented classifier. Compared to the field survey data and ASTER data, the accuracy of banana fields in the study area is 83.5%. It shows that the principal component analysis provides the useful information in SAR images analysis and makes the extraction of banana fields easier.

  5. Link prediction based on path entropy

    CERN Document Server

    Xu, Zhongqi; Yang, Jian

    2015-01-01

    Information theory has been taken as a prospective tool for quantifying the complexity of complex networks. In this paper, we first study the information entropy or uncertainty of a path using the information theory. Then we apply the path entropy to the link prediction problem in real-world networks. Specifically, we propose a new similarity index, namely Path Entropy (PE) index, which considers the information entropies of shortest paths between node pairs with penalization to long paths. Empirical experiments demonstrate that PE index outperforms the mainstream link predictors.

  6. Effects of sucrose-based polymers on sugar accumulation of banana and related enzymes activity during storage%采后涂膜蔗糖基聚合物对香蕉糖积累及相关酶活性的影响

    Institute of Scientific and Technical Information of China (English)

    叶云; 何英姿; 吕鸣群

    2009-01-01

    Banana post- harvested were treated with the concentration of 0.5%, 1% ,3% and 5% sucrose- based polymers.The sucrose content, activities of neutral invertase(NI), acid invertase(AI), sucrose synthase (SS) and sucrose phosphate synthase (SPS) in banana fruits were investigated. The results showed sucrose-based polymers could inhibit the decrease of AI, NI and SS, increase and delay the peak of SPS activity, enhance the accumulation of sucrose and the fruit quality.%用0.5%、1%、3%和5%四种浓度的蔗糖基聚合物对巴西香蕉进行采后涂膜处理,研究了其对香蕉蔗糖积累、中性转化酶(NI)、酸性转化酶(AI)、蔗糖合成酶(SS)和蔗糖磷酸合成酶(SPS)的影响.实验结果表明:蔗糖基聚合物处理可延缓香蕉的转化酶和SS活性的下降趋势,推迟并提高了SPS的活性高峰,有利于蔗糖的积累和品质的改善,延长了香蕉的保藏时间.

  7. SOCIO-ECONOMIC IMPACT OF BIOTECHNOLOGY APPLICATIONS: SOME LESSONS FROM THE PILOT TISSUE-CULTURE (TC) BANANA PRODUCTION PROMOTION PROJECT IN KENYA, 1997-2002

    OpenAIRE

    Mbogoh, Stephen G.; Wambugu, Florence M.; Wakhusama, Sam

    2003-01-01

    This article is based on a socio-economic impact study of the introduction and adoption of tissue-culture (tc) technology in banana production in Kenya. It attempts to demonstrate that a prudent introduction and promotion of a new biotechnological innovation in farming can make a positive contribution to the socio-economic status of resource poor farmers in a developing country, such as Kenya. Adoption of tc technology in banana production in Kenya is considered a good example of biotechnolog...

  8. HIGH-FREQUENCY REGENERATION VIA DIRECT SOMATIC EMBRYOGENESIS OF AN ELITE RECALCITRANT MUSA (BANANA CVPURAKAL) BY USING SUCKER AS AN EXPLANT

    OpenAIRE

    Ashish Kumar Choudhary; Suresh Tula; KM Path; Sandeep Kaushik

    2014-01-01

    An efficient method for in vitro micro propagation and genetic transformation of plants are crucial for both basic and applied research. Bananas are important staple food crops for many people in developing countries. The development of efficient and rapid regeneration protocol for elite Indian banana variety could help improve the nutritional quality characteristics and biotic or abiotic stress tolerance. A callus based regeneration of plantlets was developed for indian culti...

  9. An insight into the sequential, structural and phylogenetic properties of banana 1-aminocyclopropane-1-carboxylate synthase 1 and study of its interaction with pyridoxal-5'-phosphate and aminoethoxyvinylglycine.

    Science.gov (United States)

    Choudhury, Swarup Roy; Singh, Sanjay Kumar; Roy, Sujit; Sengupta, Dibyendu N

    2010-06-01

    In banana, ethylene production for ripening is accompanied by a dramatic increase in 1-aminocyclopropane-1-carboxylate (ACC) content, transcript level of Musa acuminata ACC synthase 1 (MA-ACS1) and the enzymatic activity of ACC synthase 1 at the onset of the climacteric period. MA-ACS1 catalyses the conversion of S-adenosyl-L-methionine (SAM) to ACC, the key regulatory step in ethylene biosynthesis. Multiple sequence alignments of 1-aminocyclopropane-1-carboxylate synthase (ACS) amino acid sequences based on database searches have indicated that MA-ACS1 is a highly conserved protein across the plant kingdom. This report describes an in silico analysis to provide the first important insightful information about the sequential, structural and phylogenetic characteristics of MA-ACS1. The three-dimensional structure of MA-ACS1, constructed based on homology modelling, in combination with the available data enabled a comparative mechanistic analysis of MA-ACS1 to explain the catalytic roles of the conserved and non-conserved active site residues. We have further demonstrated that, as in apple and tomato, banana- ACS1 (MA-ACS1) forms a homodimer and a complex with cofactor pyridoxal-5'-phosphate (PLP) and inhibitor aminoethoxyvinylglycine (AVG). We have also predicted that the residues from the PLP-binding pocket, essential for ligand binding, are mostly conserved across the MA-ACS1 structure and the competitive inhibitor AVG binds at a location adjacent to PLP.

  10. An insight into the sequential, structural and phylogenetic properties of banana 1-aminocyclopropane-1-carboxylate synthase 1 and study of its interaction with pyridoxal-5'-phosphate and aminoethoxyvinylglycine

    Indian Academy of Sciences (India)

    Swarup Roy Choudhury; Sanjay Kumar Singh; Sujit Roy; Dibyendu N Sengupta

    2010-06-01

    In banana, ethylene production for ripening is accompanied by a dramatic increase in 1-aminocyclopropane-1-carboxylate (ACC) content, transcript level of Musa acuminata ACC synthase 1 (MA-ACS1) and the enzymatic activity of ACC synthase 1 at the onset of the climacteric period. MA-ACS1 catalyses the conversion of -adenosyl-L-methionine (SAM) to ACC, the key regulatory step in ethylene biosynthesis. Multiple sequence alignments of 1-aminocyclopropane-1-carboxylate synthase (ACS) amino acid sequences based on database searches have indicated that MA-ACS1 is a highly conserved protein across the plant kingdom. This report describes an in silico analysis to provide the first important insightful information about the sequential, structural and phylogenetic characteristics of MA-ACS1. The three-dimensional structure of MA-ACS1, constructed based on homology modelling, in combination with the available data enabled a comparative mechanistic analysis of MA-ACS1 to explain the catalytic roles of the conserved and non-conserved active site residues. We have further demonstrated that, as in apple and tomato, banana-ACS1 (MA-ACS1) forms a homodimer and a complex with cofactor pyridoxal-5′-phosphate (PLP) and inhibitor aminoethoxyvinylglycine (AVG). We have also predicted that the residues from the PLP-binding pocket, essential for ligand binding, are mostly conserved across the MA-ACS1 structure and the competitive inhibitor AVG binds at a location adjacent to PLP.

  11. A Simulation Model Estimates of the Intercropping Advantage of an Immature-Rubber, Banana and Pineapple System

    Directory of Open Access Journals (Sweden)

    Mohamadu B. Jalloh

    2009-01-01

    Full Text Available Problem statement: Intercropping has been shown to have many advantages but it is fallacious to conclude it is always a better cropping system. Little is known about a new double-hedgerow intercropping of rubber, banana and pineapple in relation to its effects on growth and yield of the component crops when compared to their monocrops. Simulation modeling offers a cheaper and faster alternative to explore cropping scenarios and estimate their productivity under a wide range of management and environmental conditions. This simulation study was therefore undertaken to evaluate the growth and yield of immature rubber, banana and pineapple intercrop and monocrop scenarios with the aid of an intercrop simulation model named SURHIS, as well as estimating the intercropping advantage. Approach: A FORTRAN computer model (SURHIS that simulated the daily light interception and utilization by immature-rubber, banana and pineapple intercropping system was used to simulate intercrop and monocrop scenarios to estimate potential Dry Matter Yield (DMY for all crops as well as fruit yields for banana and pineapple. The results of the model were tested for accuracy by comparing actual field experimental results with the aid of Mean Deviation (MD and Mean Absolute Error (MAE statistical analyses. Intercropping advantage was assessed using the Land Equivalent Ratio (LER analysis. Results: The model was representative or predicted DMY of the crops with sufficient accuracy. The LER analysis showed that the intercropping system had a dry matter yield productivity advantage of 81% more than monocrops of the component crops. The results also showed that the higher the Plant Population Density (PPD, the greater is the dry matter yield. It was also shown that banana and pineapple had no deleterious effect on the growth of rubber. Fruit weight per plant of banana and pineapple was reduced with increase in PPD for the monocrops. Measured average fresh fruit bunch weight for

  12. Robustness of Prediction Based Delay Compensation for Nonlinear Systems

    CERN Document Server

    Findeisen, Rolf; Pannek, Jürgen; Varutti, Paolo

    2011-01-01

    Control of systems where the information between the controller, actuator, and sensor can be lost or delayed can be challenging with respect to stability and performance. One way to overcome the resulting problems is the use of prediction based compensation schemes. Instead of a single input, a sequence of (predicted) future controls is submitted and implemented at the actuator. If suitable, so-called prediction consistent compensation and control schemes, such as certain predictive control approaches, are used, stability of the closed loop in the presence of delays and packet losses can be guaranteed. In this paper, we show that control schemes employing prediction based delay compensation approaches do posses inherent robustness properties. Specifically, if the nominal closed loop system without delay compensation is ISS with respect to perturbation and measurement errors, then the closed loop system employing prediction based delay compensation techniques is robustly stable. We analyze the influence of the...

  13. An empirical investigation of the demand for bananas in Germany

    NARCIS (Netherlands)

    Burrell, A.; Henningsen, A.

    2001-01-01

    We use econometric methods to investigate consumer demand for bananas and for other fruit in Germany. Monthly household survey data for the period 1986-1998 are analysed. Demand for bananas is significantly responsive to own price, suggesting that policy-induced price increases generate the usual de

  14. Determinants of Banana Productivity and Technical Efficiency in Uganda

    NARCIS (Netherlands)

    Bagamba, F.; Ruben, R.; Rufino, M.C.

    2007-01-01

    This research report highlights findings from a set of studies undertaken by applied economists on the impact of improved banana cultivars and recommended management practices in the East African highlands. A particular focus of the analysis is genetic transformation of the cooking banana. Genetic t

  15. Agronomic performance of five banana cultivars under protected cultivation

    Science.gov (United States)

    Banana has been grown both in open-field and protected cultivation in Turkey. So far protected cultivation is very popular due to the high yield and quality. The objective of the study was to evaluate agronomic performance of five new banana cultivars under plastic greenhouse. ‘MA 13’, ‘Williams’, ‘...

  16. Cultural control of banana weevils in Ntungamo, southwestern Uganda

    NARCIS (Netherlands)

    Okech, S.H.; Gold, C.S.; Bagamba, F.; Masanza, M.; Tushemereirwe, W.; Ssennyonga, J.

    2005-01-01

    The International Institute of Tropical Agriculture and the Uganda National Banana Research Programme tested and evaluated selected cultural management options for the banana weevil through on-farm farmer participatory research in Ntungamo district, Uganda between 1996 and 003. A farmer adoption stu

  17. [Banana tree pests attacking Heliconia latispatha Benth. (Heliconiaceae)].

    Science.gov (United States)

    Watanabe, Maria A

    2007-01-01

    In mid-May 2005, the caterpillars Antichloris eriphia (Fabr.) (Lepidoptera: Arctiidae) and Calligo illioneus (Cramer) (Lepidoptera: Nymphalidae) which are banana tree pests, were found attacking six-month old stalks of Heliconia latispatha Benth., planted near a banana tree plantation in Jaguariuna, SP, Brazil. The attack by C. illioneus is observed by the first time in Brazil.

  18. [Banana tree pests attacking Heliconia latispatha Benth. (Heliconiaceae)].

    Science.gov (United States)

    Watanabe, Maria A

    2007-01-01

    In mid-May 2005, the caterpillars Antichloris eriphia (Fabr.) (Lepidoptera: Arctiidae) and Calligo illioneus (Cramer) (Lepidoptera: Nymphalidae) which are banana tree pests, were found attacking six-month old stalks of Heliconia latispatha Benth., planted near a banana tree plantation in Jaguariuna, SP, Brazil. The attack by C. illioneus is observed by the first time in Brazil. PMID:17607468

  19. Model Based Predictive Control of a Fully Parallel Robot

    OpenAIRE

    Vivas, Oscar Andrès; Poignet, Philippe

    2003-01-01

    This paper deals with an efficient application of a model based predictive control in parallel machines. A receding horizon control strategy based on a simplified dynamic model is implemented. Experimental results are shown for the H4 robot, a fully parallel structure providing 3 degrees of freedom (dof) in translation and 1 dof in rotation. The model based predictive control and the commonly used computed torque control strategies are compared. The tracking performances and the robustness wi...

  20. Copula-based prediction of economic movements

    Science.gov (United States)

    García, J. E.; González-López, V. A.; Hirsh, I. D.

    2016-06-01

    In this paper we model the discretized returns of two paired time series BM&FBOVESPA Dividend Index and BM&FBOVESPA Public Utilities Index using multivariate Markov models. The discretization corresponds to three categories, high losses, high profits and the complementary periods of the series. In technical terms, the maximal memory that can be considered for a Markov model, can be derived from the size of the alphabet and dataset. The number of parameters needed to specify a discrete multivariate Markov chain grows exponentially with the order and dimension of the chain. In this case the size of the database is not large enough for a consistent estimation of the model. We apply a strategy to estimate a multivariate process with an order greater than the order achieved using standard procedures. The new strategy consist on obtaining a partition of the state space which is constructed from a combination, of the partitions corresponding to the two marginal processes and the partition corresponding to the multivariate Markov chain. In order to estimate the transition probabilities, all the partitions are linked using a copula. In our application this strategy provides a significant improvement in the movement predictions.

  1. Genome Sequence of Banana Streak MY Virus from the Pacific Ocean Island of Tonga

    OpenAIRE

    Stainton, Daisy; Halafihi, Mana’ia; Collings, David A.; Varsani, Arvind

    2015-01-01

    Banana streak disease is caused by a variety of banana-infecting badnaviruses. A genome of the episomal form of a banana streak MY virus was recovered from an infected banana plant sampled on Vava’u Island, Tonga, and shares >98% pairwise identity with the six other genomes available in public databases.

  2. 33 CFR 334.570 - Banana River near Orsino, Fla.; restricted area.

    Science.gov (United States)

    2010-07-01

    ... 33 Navigation and Navigable Waters 3 2010-07-01 2010-07-01 false Banana River near Orsino, Fla... THE ARMY, DEPARTMENT OF DEFENSE DANGER ZONE AND RESTRICTED AREA REGULATIONS § 334.570 Banana River near Orsino, Fla.; restricted area. (a) The area. That part of Banana River N of the NASA Banana...

  3. Olfactory responses of banana weevil predators to volatiles from banana pseudostem tissue and synthetic pheromone

    NARCIS (Netherlands)

    Tinzaara, W.; Gold, C.S.; Dicke, M.; Huis, van A.

    2005-01-01

    As a response to attack by herbivores, plants can emit a variety of volatile substances that attract natural enemies of these insect pests. Predators of the banana weevil, Cosmopolites sordidus (Germar) (Coleoptera: Curculionidae) such as Dactylosternum abdominale (Coleoptera: Hydrophilidae) and Phe

  4. Size-based predictions of food web patterns

    DEFF Research Database (Denmark)

    Zhang, Lai; Hartvig, Martin; Knudsen, Kim;

    2014-01-01

    simulations with varying species richness. To this end, we develop a new size- and trait-based food web model that can be simplified into an analytically solvable size-based model. We confirm existing solutions for the size distribution and derive novel predictions for maximum trophic level and invasion...... of species are continuously distributed on a size-trait axis. It is, however, an open question whether such predictions are valid for a food web with a finite number of species embedded in a network structure. We address this question by comparing the size-based predictions to results from dynamic food web...... resistance. Our results show that the predicted size-spectrum exponent is borne out in the simulated food webs even with few species, albeit with a systematic bias. The predicted maximum trophic level turns out to be an upper limit since simulated food webs may have a lower number of trophic levels...

  5. Model Predictive Control based on Finite Impulse Response Models

    DEFF Research Database (Denmark)

    Prasath, Guru; Jørgensen, John Bagterp

    2008-01-01

    We develop a regularized l2 finite impulse response (FIR) predictive controller with input and input-rate constraints. Feedback is based on a simple constant output disturbance filter. The performance of the predictive controller in the face of plant-model mismatch is investigated by simulations ...

  6. Exact Amplitude--Based Resummation QCD Predictions and LHC Data

    CERN Document Server

    Ward, B F L; Yost, S A

    2014-01-01

    We present the current status of the comparisons with the respective data of the predictions of our approach of exact amplitude-based resummation in quantum field theory as applied to precision QCD calculations as needed for LHC physics, using the MC Herwiri1.031. The agreement between the theoretical predictions and the data exhibited continues to be encouraging.

  7. Biological control of banana black Sigatoka disease with Trichoderma

    Directory of Open Access Journals (Sweden)

    Poholl Adan Sagratzki Cavero

    2015-06-01

    Full Text Available Black Sigatoka disease caused by Mycosphaerella fijiensis is the most severe banana disease worldwide. The pathogen is in an invasive phase in Brazil and is already present in most States of the country. The potential of 29 isolates of Trichoderma spp. was studied for the control of black Sigatoka disease under field conditions. Four isolates were able to significantly reduce disease severity and were further tested in a second field experiment. Isolate 2.047 showed the best results in both field experiments and was selected for fungicide sensitivity tests and mass production. This isolate was identified as Trichoderma atroviride by sequencing fragments of the ITS region of the rDNA and tef-1α of the RNA polymerase. Trichoderma atroviride was as effective as the fungicide Azoxystrobin, which is recommended for controlling black Sigatoka. This biocontrol agent has potential to control the disease and may be scaled-up for field applications on rice-based solid fermentation

  8. Slope Deformation Prediction Based on Support Vector Machine

    Directory of Open Access Journals (Sweden)

    Lei JIA

    2013-07-01

    Full Text Available This paper principally studies the prediction of slope deformation based on Support Vector Machine (SVM. In the prediction process,explore how to reconstruct the phase space. The geological body’s displacement data obtained from chaotic time series are used as SVM’s training samples. Slope displacement caused by multivariable coupling is predicted by means of single variable. Results show that this model is of high fitting accuracy and generalization, and provides reference for deformation prediction in slope engineering.

  9. Entropy-based link prediction in weighted networks

    CERN Document Server

    Xu, Zhongqi; Sharafat, Rajput Ramiz; Li, Lunbo; Yang, Jian

    2016-01-01

    Information entropy has been proved to be an effective tool to quantify the structural importance of complex networks. In the previous work (Xu et al, 2016 \\cite{xu2016}), we measure the contribution of a path in link prediction with information entropy. In this paper, we further quantify the contribution of a path with both path entropy and path weight, and propose a weighted prediction index based on the contributions of paths, namely Weighted Path Entropy (WPE), to improve the prediction accuracy in weighted networks. Empirical experiments on six weighted real-world networks show that WPE achieves higher prediction accuracy than three typical weighted indices.

  10. Protein-Based Urine Test Predicts Kidney Transplant Outcomes

    Science.gov (United States)

    ... News Releases News Release Thursday, August 22, 2013 Protein-based urine test predicts kidney transplant outcomes NIH- ... supporting development of noninvasive tests. Levels of a protein in the urine of kidney transplant recipients can ...

  11. Prediction-based estimating functions: Review and new developments

    DEFF Research Database (Denmark)

    Sørensen, Michael

    2011-01-01

    The general theory of prediction-based estimating functions for stochastic process models is reviewed and extended. Particular attention is given to optimal estimation, asymptotic theory and Gaussian processes. Several examples of applications are presented. In particular, partial observation...

  12. The Standard System and Quality and Safety Standards for Banana in China

    OpenAIRE

    ZOU, Dongmei; PAN, Yongbo; Xu, Zhi; LUO, Jinhui

    2015-01-01

    Banana is an important tropical fruit and China is the world's third largest banana producer. The standardization level of banana industry not only affects the yield and quality of banana, but also plays an important role in promoting the production standardization and industrialization of other tropical crops. Through the analysis of revision, publicity and implementation of banana standard system in China as well as the study on its standard system and quality and safety standards, it is fo...

  13. Mapping Banana Plants from High Spatial Resolution Orthophotos to Facilitate Plant Health Assessment

    OpenAIRE

    Kasper Johansen; Malte Sohlbach; Barry Sullivan; Samantha Stringer; David Peasley; Stuart Phinn

    2014-01-01

    The Banana Bunchy Top Virus (Genus: Babuvirus) reduces plant growth and prevents banana production. Because of the very large number of properties with banana plants in South East Queensland, Australia, a mapping approach was developed to delineate individual and clusters of banana plants to help plant identification and enable prioritization of plant inspections for Banana Bunchy Top Virus. Due to current outbreaks in South East Queensland, there are concerns that the virus may spread to the...

  14. Transgenic expression of the rice Xa21 pattern-recognition receptor in banana (Musa sp.) confers resistance to Xanthomonas campestris pv. musacearum.

    Science.gov (United States)

    Tripathi, Jaindra N; Lorenzen, Jim; Bahar, Ofir; Ronald, Pamela; Tripathi, Leena

    2014-08-01

    Banana Xanthomonas wilt (BXW), caused by the bacterium Xanthomonas campestris pv. musacearum (Xcm), is the most devastating disease of banana in east and central Africa. The spread of BXW threatens the livelihood of millions of African farmers who depend on banana for food security and income. There are no commercial chemicals, biocontrol agents or resistant cultivars available to control BXW. Here, we take advantage of the robust resistance conferred by the rice pattern-recognition receptor (PRR), XA21, to the rice pathogen Xanthomonas oryzae pv. oryzae (Xoo). We identified a set of genes required for activation of Xa21-mediated immunity (rax) that were conserved in both Xoo and Xcm. Based on the conservation, we hypothesized that intergeneric transfer of Xa21 would confer resistance to Xcm. We evaluated 25 transgenic lines of the banana cultivar 'Gonja manjaya' (AAB) using a rapid bioassay and 12 transgenic lines in the glasshouse for resistance against Xcm. About 50% of the transgenic lines showed complete resistance to Xcm in both assays. In contrast, all of the nontransgenic control plants showed severe symptoms that progressed to complete wilting. These results indicate that the constitutive expression of the rice Xa21 gene in banana results in enhanced resistance against Xcm. Furthermore, this work demonstrates the feasibility of PRR gene transfer between monocotyledonous species and provides a valuable new tool for controlling the BXW pandemic of banana, a staple food for 100 million people in east Africa.

  15. CLINICAL DATABASE ANALYSIS USING DMDT BASED PREDICTIVE MODELLING

    Directory of Open Access Journals (Sweden)

    Srilakshmi Indrasenan

    2013-04-01

    Full Text Available In recent years, predictive data mining techniques play a vital role in the field of medical informatics. These techniques help the medical practitioners in predicting various classes which is useful in prediction treatment. One of such major difficulty is prediction of survival rate in breast cancer patients. Breast cancer is a common disease these days and fighting against it is a tough battle for both the surgeons and the patients. To predict the survivability rate in breast cancer patients which helps the medical practitioner to select the type of treatment a predictive data mining technique called Diversified Multiple Decision Tree (DMDT classification is used. Additionally, to avoid difficulties from the outlier and skewed data, it is also proposed to perform the improvement of training space by outlier filtering and over sampling. As a result, this novel approach gives the survivability rate of the cancer patients based on which the medical practitioners can choose the type of treatment.

  16. Local-prediction-based difference expansion reversible watermarking.

    Science.gov (United States)

    Dragoi, Ioan-Catalin; Coltuc, Dinu

    2014-04-01

    This paper investigates the use of local prediction in difference expansion reversible watermarking. For each pixel, a least square predictor is computed on a square block centered on the pixel and the corresponding prediction error is expanded. The same predictor is recovered at detection without any additional information. The proposed local prediction is general and it applies regardless of the predictor order or the prediction context. For the particular cases of least square predictors with the same context as the median edge detector, gradient-adjusted predictor or the simple rhombus neighborhood, the local prediction-based reversible watermarking clearly outperforms the state-of-the-art schemes based on the classical counterparts. Experimental results are provided.

  17. Neoclassical toroidal plasma viscosity with effects of finite banana width for finite aspect ratio tokamaks

    Science.gov (United States)

    Shaing, K. C.; Sabbagh, S. A.

    2016-07-01

    Theory for neoclassical toroidal plasma viscosity has been developed to model transport phenomena, especially, toroidal plasma rotation for tokamaks with broken symmetry. Theoretical predictions are in agreement with the results of the numerical codes in the large aspect ratio limit. The theory has since been extended to include effects of finite aspect ratio and finite plasma β. Here, β is the ratio of the plasma thermal pressure to the magnetic field pressure. However, there are cases where the radial wavelength of the self-consistent perturbed magnetic field strength B on the perturbed magnetic surface is comparable to the width of the trapped particles, i.e., bananas. To accommodate those cases, the theory for neoclassical toroidal plasma viscosity is further extended here to include the effects of the finite banana width. The extended theory is developed using the orbit averaged drift kinetic equation in the low collisionality regimes. The results of the theory can now be used to model plasma transport, including toroidal plasma rotation, in real finite aspect ratio, and finite plasma β tokamaks with the radial wavelength of the perturbed symmetry breaking magnetic field strength comparable to or longer than the banana width.

  18. Molecular Cloning and Characterization of Fruit Softening Related Gene Mannanase from Banana Fruit

    Institute of Scientific and Technical Information of China (English)

    ZHUANG Jun-ping; SU Jing; CHEN Wei-xin

    2006-01-01

    A 1 250 bp cDNA fragment encoding β-mannanase, named MaMAN, was cloned from banana (Musa spp cv. Baxi) fruit using degenerate primers designed with reference to the conserved nucleic acid sequences of known β-mannanase genes by RT-PCR. Sequence analysis showed that MaMAN cDNA encompassed a 1 085 bp open-reading frame (ORF), encoding a predicted polypeptide of 395 amino acids. Alignment of the deduced amino acid sequence of MaMAN and other putative β-mannanases showed that MaMAN has an identity of 86, 70, 69, 54, and 57%, respectively, to β-mannanases from tomato, lettuce, arabidopsis, carrot and oryza sativa. The catalytic residues: Asn203, Glu204, Glu318 and the active site residues: Arg86, His277, Tyr279, and Trp360, which were strictly conserved in the glycoside hydrolase family 5 to which all 3-mannanases belonged, were found in MaMAN. Semi-quantitative RT-PCR revealed that the level of MaMAN transcript in the pulp increased during banana fruit ripening, suggesting that MaMAN was likely to be involved highly in banana fruit softening.

  19. Microbiological and physicochemical factors affecting Aspergillus section Flavi incidence in Cavendish banana (Musa cavendishii) chips production in Southern Philippines.

    Science.gov (United States)

    Sales, A C; Azanza, P V; Yoshizawa, T

    2005-01-01

    Microbiological and physicochemical factors affecting the incidence of Aspergillus section Flavi in dried Cavendish banana (Musa cavendishii) chips production in Southern Philippines were examined. The average counts of Aspergillus section Flavi (AFC) in fresh and dried Cavendish bananas from 10 production batches of the Philippine Agro-Industrial Development Cooperative in Davao del Norte, Southern Philippines were 1.2 x 10(2) and 1.6 x 10(2) cfu/g, respectively. Isolates from both samples were identified to be Aspergillus flavus based on spore type and conidial structure of isolates. An increasing trend in the AFC of Cavendish bananas was observed during dried banana chips processing. Variability in the AFC between production batches was attributed to differences in aerobic and fungal populations and physicochemical characteristics of the fruits, peel damage of the raw materials, concentration of AFC in the air and food-contact surfaces of the production area, and temperature and relative humidity (RH) conditions of the environment during production and storage. Physicochemical characteristics of Cavendish bananas from the receipt of raw materials up to the first day of drying were within the reported range of values allowing growth and toxin production by aflatoxigenic fungi. Air-borne AFC varied depending on the section of the production area examined. The close proximity of the waste disposal area from the production operation to the preparation, drying and storage areas suggests that cross-contamination, probably air-borne or insect-borne was a likely occurrence. The hands of workers were also identified as AFC sources. Results of this study highlight the need for the development of strategies to control aflatoxigenic fungi and aflatoxin contamination in Philippine dried Cavendish bananas.

  20. Wastes of banana ‘s lignocellulosic biomass: a sustainable and renewable source of biogas production

    OpenAIRE

    Kamdem, Irenée; Hiligsmann, Serge; Vanderghem, Caroline; Bilik, Igor; Paquot, Michel

    2013-01-01

    We highlight in this poster, the results of biogas production and biochemical analysis based on the anaerobic digestion of each type of the lignocellulosic waste from a banana cultivar (Williams Cavendish: triploid Musa AAA group). These wastes are usually abandoned in the plantation after the fruits have been harvested. There is great interest in obtaining energy from this generally neglected biomaterial, particularly in the contexts of global warming and sustainable development.

  1. DIFFERENTIATION OF SUBSISTENCE FARMING PATTERNS AMONG THE HAYA BANANA GROWERS IN NORTHWESTERN TANZANIA

    OpenAIRE

    MARUO, Satoshi

    2002-01-01

    The Haya, densely settled in the western Lake Victoria basin of Tanzania, have developed a unique banana-based farming system over centuries. The land use is characterized by intensively cared home garden called kibanja, and open grassland, lweya where cattle grazed. Cattle manure has much contributed to the farming in kibanja. Household survey revealed current farming patterns that have differentiated since the independence of Tanganyika in 1961. Lweya has become important also as major bitt...

  2. Network Traffic Prediction based on Particle Swarm BP Neural Network

    Directory of Open Access Journals (Sweden)

    Yan Zhu

    2013-11-01

    Full Text Available The traditional BP neural network algorithm has some bugs such that it is easy to fall into local minimum and the slow convergence speed. Particle swarm optimization is an evolutionary computation technology based on swarm intelligence which can not guarantee global convergence. Artificial Bee Colony algorithm is a global optimum algorithm with many advantages such as simple, convenient and strong robust. In this paper, a new BP neural network based on Artificial Bee Colony algorithm and particle swarm optimization algorithm is proposed to optimize the weight and threshold value of BP neural network. After network traffic prediction experiment, we can conclude that optimized BP network traffic prediction based on PSO-ABC has high prediction accuracy and has stable prediction performance.

  3. Comparative evaluation of gastric secretory response to banana and porridge.

    Science.gov (United States)

    Dadoo, R C; Khatri, H L; Singla, S

    1995-01-01

    Unripe Banana (Plantain) is used in South India as a bland diet for peptic ulcer patients. Flour made of plantain is quite often prescribed in dyspepsia in this part of the country. This has led to the belief that ripe banana may also be a bland fruit. However, it was observed by the Senior Author that ripe banana does produce symptoms of hyperacidity. Hence a study was undertaken to assess whether ripe banana is a bland food or not. A total of 115 patients entered the study. 89 individuals had no GIT symptoms, 15 patients had proved peptic ulcer while 11 patients had non-ulcer acid dyspepsia. The gastric residue was emptied by a nasogastric tube after a night fast. Patients were then given 80 gms. of banana or porridge on two different days. Then consecutive 15 minute samples of gastric juice were collected and submitted for estimation of acid output in mEq/l. It was observed that gastric acid values were higher following banana as compared to porridge and the difference was statistically significant (p < 0.001). It was was thus concluded that ripe banana is not a bland food. It should not be recommended as a part of bland diet for patients of acid peptic disease.

  4. Comparison of Simple Versus Performance-Based Fall Prediction Models

    Directory of Open Access Journals (Sweden)

    Shekhar K. Gadkaree BS

    2015-05-01

    Full Text Available Objective: To compare the predictive ability of standard falls prediction models based on physical performance assessments with more parsimonious prediction models based on self-reported data. Design: We developed a series of fall prediction models progressing in complexity and compared area under the receiver operating characteristic curve (AUC across models. Setting: National Health and Aging Trends Study (NHATS, which surveyed a nationally representative sample of Medicare enrollees (age ≥65 at baseline (Round 1: 2011-2012 and 1-year follow-up (Round 2: 2012-2013. Participants: In all, 6,056 community-dwelling individuals participated in Rounds 1 and 2 of NHATS. Measurements: Primary outcomes were 1-year incidence of “any fall” and “recurrent falls.” Prediction models were compared and validated in development and validation sets, respectively. Results: A prediction model that included demographic information, self-reported problems with balance and coordination, and previous fall history was the most parsimonious model that optimized AUC for both any fall (AUC = 0.69, 95% confidence interval [CI] = [0.67, 0.71] and recurrent falls (AUC = 0.77, 95% CI = [0.74, 0.79] in the development set. Physical performance testing provided a marginal additional predictive value. Conclusion: A simple clinical prediction model that does not include physical performance testing could facilitate routine, widespread falls risk screening in the ambulatory care setting.

  5. Gibberella musae (Fusarium musae) sp. nov., a recently discovered species from banana is sister to F. verticillioides

    NARCIS (Netherlands)

    Hove, van F.; Waalwijk, C.; Logrieco, A.; Munaut, F.; Moretti, A.

    2011-01-01

    Several strains of Fusarium isolated from banana were identified previously as F. verticillioides (Sacc.) Nirenberg but described as unable to produce fumonisin. Here we report biochemical and morphological evidence, as well as multilocus phylogenetic analyses based on elongation factor (EF-1a), cal

  6. Traffic Prediction Scheme based on Chaotic Models in Wireless Networks

    Directory of Open Access Journals (Sweden)

    Xiangrong Feng

    2013-09-01

    Full Text Available Based on the local support vector algorithm of chaotic time series analysis, the Hannan-Quinn information criterion and SAX symbolization are introduced. Then a novel prediction algorithm is proposed, which is successfully applied to the prediction of wireless network traffic. For the correct prediction problems of short-term flow with smaller data set size, the weakness of the algorithms during model construction is analyzed by study and comparison to LDK prediction algorithm. It is verified the Hannan-Quinn information principle can be used to calculate the number of neighbor points to replace pervious empirical method, which uses the number of neighbor points to acquire more accurate prediction model. Finally, actual flow data is applied to confirm the accuracy rate of the proposed algorithm LSDHQ. It is testified by our experiments that it also has higher performance in adaptability than that of LSDHQ algorithm.

  7. Information flows and social externalities in a Tanzanian banana growing village.

    Science.gov (United States)

    Van den Broeck, Katleen; Dercon, Stefan

    2011-01-01

    This article analyses the role of social networks as facilitators of information flows and banana output increase. Based on a village census, full information is available on the socio-economic characteristics and banana production of farmers' kinship group members, neighbours and informal insurance group members. The census data enable us to use individual specific reference groups and include exogenous group controls to tackle standard difficulties related to identification and omitted variables bias when analysing social effects. For the survey village of Nyakatoke in Tanzania the results suggest that information flows exist within all types of groups analysed but output externalities are limited to kinship groups. Using networks may offer scope for effective information flows on agricultural techniques, but our evidence suggests that not just any local network will have a social externality impact, requiring a clear understanding of local social networks for maximum impact.

  8. Implementation of neural network based non-linear predictive

    DEFF Research Database (Denmark)

    Sørensen, Paul Haase; Nørgård, Peter Magnus; Ravn, Ole;

    1998-01-01

    The paper describes a control method for non-linear systems based on generalized predictive control. Generalized predictive control (GPC) was developed to control linear systems including open loop unstable and non-minimum phase systems, but has also been proposed extended for the control of non-linear...... systems. GPC is model-based and in this paper we propose the use of a neural network for the modeling of the system. Based on the neural network model a controller with extended control horizon is developed and the implementation issues are discussed, with particular emphasis on an efficient Quasi......-Newton optimization algorithm. The performance is demonstrated on a pneumatic servo system....

  9. Noncausal spatial prediction filtering based on an ARMA model

    Institute of Scientific and Technical Information of China (English)

    Liu Zhipeng; Chen Xiaohong; Li Jingye

    2009-01-01

    Conventional f-x prediction filtering methods are based on an autoregressive model. The error section is first computed as a source noise but is removed as additive noise to obtain the signal, which results in an assumption inconsistency before and after filtering. In this paper, an autoregressive, moving-average model is employed to avoid the model inconsistency. Based on the ARMA model, a noncasual prediction filter is computed and a self-deconvolved projection filter is used for estimating additive noise in order to suppress random noise. The 1-D ARMA model is also extended to the 2-D spatial domain, which is the basis for noncasual spatial prediction filtering for random noise attenuation on 3-D seismic data. Synthetic and field data processing indicate this method can suppress random noise more effectively and preserve the signal simultaneously and does much better than other conventional prediction filtering methods.

  10. Consumo de massas, biodiversidade e fitomelhoramento da banana de exportação 1920 a 1980 Mass markets, biodiversity and breeding improvements of export bananas 1920-1980

    Directory of Open Access Journals (Sweden)

    John Soluri

    2008-06-01

    Full Text Available A exportação de banana, na América, foi constituída sob uma base genética extremamente limitada: ao longo de setenta anos, uma só variedade de banana, a Gros Michel, foi praticamente a única a ser vendida nos mercados norte-americanos. Esta variedade produzia grandes cachos, resistentes ao transporte, e dotados de um sabor e de uma casca que os consumidores norte-americanos identificavam como pertencentes a uma banana de qualidade. Entretanto, a Gros Michel também se mostrou muito suscetível a um grande número de patógenos fúngicos, incluindo o Mal do Panamá e a Sigatoka. A dinâmica histórica ocasionada, durante a primeira metade do século XX, pela propagação desse fungo, acelerou o aumentou dos índices de desmatamento, desestabilizou os sistemas de vida rural, aumentou os riscos à saúde dos trabalhadores do campo, e limitou os rendimentos das principais companhias de comércio de banana. Tais epidemias impeliram o governo britânico e a United Fruit Company a estabelecerem programas de fitomelhoramento, durante a década de 1920, tendo como meta o desenvolvimento de uma banana para exportação, que fosse resistente ao Mal do Panamá. Contudo, a criação de um híbrido que fosse capaz tanto de prosperar nas zonas tropicais, quanto de encontrar aceitação no mercado norte-americano, se mostrou uma tarefa de difícil realização. A história dos programas de melhoramento revela uma das principais contradições da agricultura do século XX: os mesmos processos de produção massificada, que tendem a reduzir a diversidade biológica a nível local e regional, permaneciam dependentes do acesso a de um banco genético "global", para manter níveis lucrativos de produção.The export banana industry in Latin America and the Caribbean developed on a very narrow genetic base: a single variety, the Gros Michel, was the only banana variety mass marketed in the United States for at least seventy years. The Gros Michel variety

  11. LS-SVR and AGO Based Time Series Prediction Method

    Institute of Scientific and Technical Information of China (English)

    ZHANG Shou-peng; LIU Shan; CHAI Wang-xu; ZHANG Jia-qi; GUO Yang-ming

    2016-01-01

    Recently , fault or health condition prediction of complex systems becomes an interesting research topic.However, it is difficult to establish precise physical model for complex systems , and the time series properties are often necessary to be incorporated for the prediction in practice .Currently ,the LS -SVR is widely adopted for prediction of systems with time series data .In this paper , in order to improve the prediction accuracy, accumulated generating operation (AGO) is carried out to improve the data quality and regularity of raw time series data based on grey system theory;then, the inverse accumulated generating operation ( IAGO) is performed to obtain the prediction results .In addition , due to the reason that appropriate kernel function plays an important role in improving the accuracy of prediction through LS-SVR, a modified Gaussian radial basis function (RBF) is proposed.The requirements of distance functions-based kernel functions are satisfied , which ensure fast damping at the place adjacent to the test point and a moderate damping at infinity .The presented model is applied to the analysis of benchmarks .As indicated by the results , the proposed method is an effective prediction one with good precision .

  12. Disaster prediction of coal mine gas based on data mining

    Institute of Scientific and Technical Information of China (English)

    SHAO Liang-shan; FU Gui-xiang

    2008-01-01

    The technique of data mining was provided to predict gas disaster in view of thecharacteristics of coal mine gas disaster and feature knowledge based on gas disaster.The rough set theory was used to establish data mining model of gas disaster prediction,and rough set attributes relations was discussed in prediction model of gas disaster tosupplement the shortages of rough intensive reduction method by using information en-tropy criteria. The effectiveness and practicality of data mining technology in the predictionof gas disaster is confirmed through practical application.

  13. Cloud Based Metalearning System for Predictive Modeling of Biomedical Data

    OpenAIRE

    2014-01-01

    Rapid growth and storage of biomedical data enabled many opportunities for predictive modeling and improvement of healthcare processes. On the other side analysis of such large amounts of data is a difficult and computationally intensive task for most existing data mining algorithms. This problem is addressed by proposing a cloud based system that integrates metalearning framework for ranking and selection of best predictive algorithms for data at hand and open source big data technologies fo...

  14. Cloud Based Metalearning System for Predictive Modeling of Biomedical Data

    Directory of Open Access Journals (Sweden)

    Milan Vukićević

    2014-01-01

    Full Text Available Rapid growth and storage of biomedical data enabled many opportunities for predictive modeling and improvement of healthcare processes. On the other side analysis of such large amounts of data is a difficult and computationally intensive task for most existing data mining algorithms. This problem is addressed by proposing a cloud based system that integrates metalearning framework for ranking and selection of best predictive algorithms for data at hand and open source big data technologies for analysis of biomedical data.

  15. Accurate Multisteps Traffic Flow Prediction Based on SVM

    Directory of Open Access Journals (Sweden)

    Zhang Mingheng

    2013-01-01

    Full Text Available Accurate traffic flow prediction is prerequisite and important for realizing intelligent traffic control and guidance, and it is also the objective requirement for intelligent traffic management. Due to the strong nonlinear, stochastic, time-varying characteristics of urban transport system, artificial intelligence methods such as support vector machine (SVM are now receiving more and more attentions in this research field. Compared with the traditional single-step prediction method, the multisteps prediction has the ability that can predict the traffic state trends over a certain period in the future. From the perspective of dynamic decision, it is far important than the current traffic condition obtained. Thus, in this paper, an accurate multi-steps traffic flow prediction model based on SVM was proposed. In which, the input vectors were comprised of actual traffic volume and four different types of input vectors were compared to verify their prediction performance with each other. Finally, the model was verified with actual data in the empirical analysis phase and the test results showed that the proposed SVM model had a good ability for traffic flow prediction and the SVM-HPT model outperformed the other three models for prediction.

  16. Nematode resistance in bananas : screening results on some new Mycosphaerella resistant banana hybrids

    OpenAIRE

    Quénéhervé, Patrick; Salmon, F.; Topart, Patrick; Horry, J. P.

    2009-01-01

    Banana hybrids with resistance to Yellow Sigatoka and Black Leaf Streak disease were evaluated for resistance to the burrowing nematode Radopholus similis and to the lesion nematode Pratylenchus coVeae in a growth chamber at 24-28. Plants produced by tissue culture were acclimatised for 6 weeks prior to inoculation. Forty-five days after inoculation with nematodes, the root systems were processed and nematode numbers assessed. Two cultivars of Grande Naine (Musa AAA, Cavendish subgroup, ITC12...

  17. Solar energy profit on banana drying; Autilizacao da energia solar na secagem de bananas

    Energy Technology Data Exchange (ETDEWEB)

    Bowray, H.G.; Buckle, K.A.; Hamey, P.; Pavenayotin, P.

    1986-03-01

    This paper describes a system for banana and other fruits drying using solar energy. This system, with capacity of 500 kg of fruit per time, use a plane solar collector device with 50 m deg 2 of area. The aspects of the cost of the solar unit and the performance of the system, when compared to the other drying devices was also shown 1 ref., 2 figs., 1 tab.

  18. A vertical handoff decision algorithm based on ARMA prediction model

    Science.gov (United States)

    Li, Ru; Shen, Jiao; Chen, Jun; Liu, Qiuhuan

    2012-01-01

    With the development of computer technology and the increasing demand for mobile communications, the next generation wireless networks will be composed of various wireless networks (e.g., WiMAX and WiFi). Vertical handoff is a key technology of next generation wireless networks. During the vertical handoff procedure, handoff decision is a crucial issue for an efficient mobility. Based on auto regression moving average (ARMA) prediction model, we propose a vertical handoff decision algorithm, which aims to improve the performance of vertical handoff and avoid unnecessary handoff. Based on the current received signal strength (RSS) and the previous RSS, the proposed approach adopt ARMA model to predict the next RSS. And then according to the predicted RSS to determine whether trigger the link layer triggering event and complete vertical handoff. The simulation results indicate that the proposed algorithm outperforms the RSS-based scheme with a threshold in the performance of handoff and the number of handoff.

  19. Synthetic information prediction system for crisis mine based on GIS

    Institute of Scientific and Technical Information of China (English)

    Yuxin Ye; Ping Yu; Shi Wang; Shuisheng Ye

    2006-01-01

    Reserves of some kinds of the crisis mines will be lack now or from now on, because of lacking seriously reserves of mineral resources and the crisis of exploring bases in support. So that it is urgent to predict, appraise, development and utilize the replaceable resources of the crisis mines. The mineral resources prediction software system of synthetic information is intelligent GIS which is used to quantitative prediction of large-scale synthetic information mineral target. It takes the geological body and the mineral resource body as a unit. And it analyzes the ore deposit genesis and metallotect, knows the spatial distribution laws of the ore deposit and ore body, and establish the prospecting model based on the concept of establishing the three-dimensional space of a mine. This paper will primarily discuss some important problems as follows: the secondary development of various kinds of data(including geology, geophysical prospecting, geochemical prospecting and remote sensing, etc); process synthetically and establish the synthetic information interpretative map base; correspond prospecting model with synthetic information of ore deposit; divided into statistical units of metallogenic information synthetic anomalies based on the synthetic information anomalies of ore control, then research the metallogenic information variable of unit synthetically and make quantitative prediction according to choose the quantitative prediction math model which is suitable to the demands of large-scale precision; at last, finish the target area optimization of ore deposit (body).

  20. Banana Wars and the Multiplicity of Conflicts in Commodity Chains

    Directory of Open Access Journals (Sweden)

    Kees Jansen

    2006-10-01

    Full Text Available – In the Shadows of State and Capital: The United Fruit Company, Popular Struggle, and Agrarian Restructuring in Ecuador, 1900-1995, by S. Striffler. Durham & London: Duke University Press, 2002. – Banana Wars: Power, Production, and History in the Americas, edited by S. Striffler and M. Moberg. Durham: Duke U.P., 2003. – Banana Wars: The Anatomy of a Trade Dispute, edited by T.E. Josling and T.G. Taylor. Oxon: CABI Publishing, 2003. – Smart Alliance: How a Global Corporation and Environmental Activists Transformed a Tarnished Brand, by J.G. Taylor and P.J. Scharlin. New Haven: Yale University Press, 2004. – Banana Wars: The Price of Free Trade: A Caribbean Perspective, by G. Myers. London: Zed, 2004. – The Banana Wars: United States Intervention in the Caribbean, 1898-1934, by L.D. Langley. Wilmington: Scholarly Resources Inc. Revised 2002, first published in 1983.

  1. In vitro propagation and mutation induction in the banana

    International Nuclear Information System (INIS)

    The banana is the second most important fruit crop in India, both in areas (3.22 x 105 ha) and production (57.83 x 105 t). It accounts for 11% of the total area under fruit crops and over 18% of the total fruit production. Because of its high productivity and maximum returns, there is considerable scope for the expansion of banana cultivation. The banana is propagated vegetatively by suckers. A limited number of suckers (5-10) are produced from a plant in 1 year and therefore there is a shortage of planting material, which limits its multiplication. Micropropagation through tissue culture techniques would accelerate banana cultivation by improving its multiplication rate, productivity and quality. 4 refs

  2. Effects of Increasing Levels of Dietary Cooked and Uncooked Banana Meal on Growth Performance and Carcass Parameters of Broiler Chicken

    OpenAIRE

    N.S.B.M Atapattu* and T.S.M.S. Senevirathne

    2013-01-01

    Discarded banana is a valuable feed ingredient for poultry feed formulations. However, due to the presence of resistant starches, inclusion of more than 10% banana meal in poultry rations reduces the growth performance. The objective of this study was to determine whether higher levels of banana meal could be included in broiler diets if raw banana is cooked before being processed into meal. Discarded banana (Cavendish) collected at harvesting was processed into two types of banana meals. ...

  3. The effect of gamma irradiation on the microbiological analysis on commercial functional Brazilian green banana flour

    Energy Technology Data Exchange (ETDEWEB)

    Taipina, Magda S.; Lamardo, Leda C.A.; Santos, Josefina S.; Silva Junior, Eneo A. da [Instituto de Pesquisas Energeticas e Nucleares (IPEN/CNEN-SP), Sao Paulo, SP (Brazil); Balian, Simone C., E-mail: balian@usp.b [Universidade de Sao Paulo (USP), SP (Brazil). Fac. de Medicina Veterinaria e Zootecnia

    2011-07-01

    In Brazil, although it is qualified as a major world producers, however, the production losses are high. Nevertheless, these losses can be reduced by processing the fruit 'unsuitable' for consumption into products based on green banana (pulp, rind and flour). The green banana flour shows enhanced nutrition value, with higher contents of mineral, dietary fiber, resistant starch, and total phenolics, for use in Brazilian irradiated ready - to eat foods, such as bread, macaroni, among others. Food irradiation has been identified as safe technology to reduce risk of foodborne illness as part of high-quality food production, processing, handling and preparation. Food irradiation utilizes a source of ionizing energy that passes through food to destroy harmful bacteria and other organisms. Often referred to as 'cold pasteurization', food irradiation offers negligible loss of nutrients or sensory qualities in food as it does not substantially raise the temperature of the food during processing. The object of this work was to determine the effect of gamma irradiation on microbiological analyses of the: the number of mesophiles, total coliforms at 35 deg C, coliforms at 45 deg C, Staphylococcus aureus and Salmonella spp of the green banana flour, commercially found in the Brazilian market. The microbiological analyses were carried out in conformity with the methodologies described at the Faculty of Veterinary Medicine, according to the current legislation. Irradiation was performed in a {sup 60}Co Gammacell 220 (AECL) source, with dose of 3kGy at IPEN/CNEN-SP. In samples of Brazilian green banana flour, irradiated at 3 kGy, the growth of all microorganisms (mesophiles, total coliforms at 35 deg C, coliform at 45 deg C and Staphylococcus coagulase positive) were reduced. As a result, the application of the irradiation technique may be recommended to enhance the food safety. (author)

  4. Reasoned opinion on the modification of MRLs for spirodiclofen in strawberries bananas, avocado, mango and papaya

    Directory of Open Access Journals (Sweden)

    European Food Safety Authority

    2012-07-01

    Full Text Available

    In accordance with Article 6 of Regulation (EC No 396/2005, the Netherlands, herewith referred as the evaluating Member State (EMS, received an application from Bayer S.A.S-Bayer CropScience to modify the existing MRLs for spirodiclofen in strawberries and bananas and set import tolerances for papaya, avocado and mango. The Netherlands proposed to decrease the existing MRL for strawberries from 2 mg/kg to 0.02 mg/kg and to increase the MRL for banana from the limit of quantification 0.02* mg/kg to 0.3mg/kg. In order to accommodate the import of produce, the Netherlands proposed to set the MRL for papaya, mangos and avocados at 1.0 mg/kg. The Netherlands drafted an evaluation report according to Article 8 of Regulation (EC No 396/2005, which was submitted to the European Commission and forwarded to EFSA. According to EFSA the data are sufficient to derive MRL proposals of 0.3 mg/kg for the proposed use in banana and 1.5 mg/kg to accommodate the reported use in the USA on avocado, noting that the MRL in the country of origin is set at the level of 1 mg/kg. EFSA has some reservations regarding the proposal that the residue trial results for avocado might be extrapolated to propose MRLs on papaya and mango. The intended use on strawberries is not adequately supported by residue data. Based on the risk assessment results, EFSA concludes that the proposed use of spirodiclofen on strawberry, banana, avocado, mango and papaya will not result in consumer exposure exceeding the toxicological reference value and therefore is unlikely to pose a consumer health risk.

  5. The effect of gamma irradiation on the microbiological analysis on commercial functional Brazilian green banana flour

    International Nuclear Information System (INIS)

    In Brazil, although it is qualified as a major world producers, however, the production losses are high. Nevertheless, these losses can be reduced by processing the fruit 'unsuitable' for consumption into products based on green banana (pulp, rind and flour). The green banana flour shows enhanced nutrition value, with higher contents of mineral, dietary fiber, resistant starch, and total phenolics, for use in Brazilian irradiated ready - to eat foods, such as bread, macaroni, among others. Food irradiation has been identified as safe technology to reduce risk of foodborne illness as part of high-quality food production, processing, handling and preparation. Food irradiation utilizes a source of ionizing energy that passes through food to destroy harmful bacteria and other organisms. Often referred to as 'cold pasteurization', food irradiation offers negligible loss of nutrients or sensory qualities in food as it does not substantially raise the temperature of the food during processing. The object of this work was to determine the effect of gamma irradiation on microbiological analyses of the: the number of mesophiles, total coliforms at 35 deg C, coliforms at 45 deg C, Staphylococcus aureus and Salmonella spp of the green banana flour, commercially found in the Brazilian market. The microbiological analyses were carried out in conformity with the methodologies described at the Faculty of Veterinary Medicine, according to the current legislation. Irradiation was performed in a 60Co Gammacell 220 (AECL) source, with dose of 3kGy at IPEN/CNEN-SP. In samples of Brazilian green banana flour, irradiated at 3 kGy, the growth of all microorganisms (mesophiles, total coliforms at 35 deg C, coliform at 45 deg C and Staphylococcus coagulase positive) were reduced. As a result, the application of the irradiation technique may be recommended to enhance the food safety. (author)

  6. Application of chaotic prediction model based on wavelet transform on water quality prediction

    Science.gov (United States)

    Zhang, L.; Zou, Z. H.; Zhao, Y. F.

    2016-08-01

    Dissolved oxygen (DO) is closely related to water self-purification capacity. In order to better forecast its concentration, the chaotic prediction model, based on the wavelet transform, is proposed and applied to a certain monitoring section of the Mentougou area of the Haihe River Basin. The result is compared with the simple application of the chaotic prediction model. The study indicates that the new model aligns better with the real data and has a higher accuracy. Therefore, it will provide significant decision support for water protection and water environment treatment.

  7. [Predicting suicide or predicting the unpredictable in an uncertain world: Reinforcement Learning Model-Based analysis].

    Science.gov (United States)

    Desseilles, Martin

    2012-01-01

    In general, it appears that the suicidal act is highly unpredictable with the current scientific means available. In this article, the author submits the hypothesis that predicting suicide is complex because it results in predicting a choice, in itself unpredictable. The article proposes a Reinforcement learning model-based analysis. In this model, we integrate on the one hand, four ascending modulatory neurotransmitter systems (acetylcholine, noradrenalin, serotonin, and dopamine) with their regions of respective projections and afferences, and on the other hand, various observations of brain imaging identified until now in the suicidal process.

  8. Banana orbits in elliptic tokamaks with hole currents

    Science.gov (United States)

    Martin, P.; Castro, E.; Puerta, J.

    2015-03-01

    Ware Pinch is a consequence of breaking of up-down symmetry due to the inductive electric field. This symmetry breaking happens, though up-down symmetry for magnetic surface is assumed. In previous work Ware Pinch and banana orbits were studied for tokamak magnetic surface with ellipticity and triangularity, but up-down symmetry. Hole currents appear in large tokamaks and their influence in Ware Pinch and banana orbits are now considered here for tokamaks magnetic surfaces with ellipticity and triangularity.

  9. Traditional Banana Diversity in Oceania: An Endangered Heritage

    OpenAIRE

    Valérie Kagy; Maurice Wong; Henri Vandenbroucke; Christophe Jenny; Cécile Dubois; Anthony Ollivier; Céline Cardi; Pierre Mournet; Valérie Tuia; Nicolas Roux; Jaroslav Doležel; Xavier Perrier

    2016-01-01

    This study aims to understand the genetic diversity of traditional Oceanian starchy bananas in order to propose an efficient conservation strategy for these endangered varieties. SSR and DArT molecular markers are used to characterize a large sample of Pacific accessions, from New Guinea to Tahiti and Hawaii. All Pacific starchy bananas are shown of New Guinea origin, by interspecific hybridization between Musa acuminata (AA genome), more precisely its local subspecies M. acuminata ssp. banks...

  10. Multi-Objective Predictive Balancing Control of Battery Packs Based on Predictive Current

    Directory of Open Access Journals (Sweden)

    Wenbiao Li

    2016-04-01

    Full Text Available Various balancing topology and control methods have been proposed for the inconsistency problem of battery packs. However, these strategies only focus on a single objective, ignore the mutual interaction among various factors and are only based on the external performance of the battery pack inconsistency, such as voltage balancing and state of charge (SOC balancing. To solve these problems, multi-objective predictive balancing control (MOPBC based on predictive current is proposed in this paper, namely, in the driving process of an electric vehicle, using predictive control to predict the battery pack output current the next time. Based on this information, the impact of the battery pack temperature caused by the output current can be obtained. Then, the influence is added to the battery pack balancing control, which makes the present degradation, temperature, and SOC imbalance achieve balance automatically due to the change of the output current the next moment. According to MOPBC, the simulation model of the balancing circuit is built with four cells in Matlab/Simulink. The simulation results show that MOPBC is not only better than the other traditional balancing control strategies but also reduces the energy loss in the balancing process.

  11. Prediction on carbon dioxide emissions based on fuzzy rules

    Science.gov (United States)

    Pauzi, Herrini; Abdullah, Lazim

    2014-06-01

    There are several ways to predict air quality, varying from simple regression to models based on artificial intelligence. Most of the conventional methods are not sufficiently able to provide good forecasting performances due to the problems with non-linearity uncertainty and complexity of the data. Artificial intelligence techniques are successfully used in modeling air quality in order to cope with the problems. This paper describes fuzzy inference system (FIS) to predict CO2 emissions in Malaysia. Furthermore, adaptive neuro-fuzzy inference system (ANFIS) is used to compare the prediction performance. Data of five variables: energy use, gross domestic product per capita, population density, combustible renewable and waste and CO2 intensity are employed in this comparative study. The results from the two model proposed are compared and it is clearly shown that the ANFIS outperforms FIS in CO2 prediction.

  12. Predicting cycle 24 using various dynamo-based tools

    Directory of Open Access Journals (Sweden)

    M. Dikpati

    2008-02-01

    Full Text Available Various dynamo-based techniques have been used to predict the mean solar cycle features, namely the amplitude and the timings of onset and peak. All methods use information from previous cycles, including particularly polar fields, drift-speed of the sunspot zone to the equator, and remnant magnetic flux from the decay of active regions. Polar fields predict a low cycle 24, while spot zone migration and remnant flux both lead to predictions of a high cycle 24. These methods both predict delayed onset for cycle 24. We will describe how each of these methods relates to dynamo processes. We will present the latest results from our flux-transport dynamo, including some sensitivity tests and how our model relates to polar fields and spot zone drift methods.

  13. Model-based uncertainty in species range prediction

    DEFF Research Database (Denmark)

    Pearson, R. G.; Thuiller, Wilfried; Bastos Araujo, Miguel;

    2006-01-01

    Aim Many attempts to predict the potential range of species rely on environmental niche (or 'bioclimate envelope') modelling, yet the effects of using different niche-based methodologies require further investigation. Here we investigate the impact that the choice of model can have on predictions......, identify key reasons why model output may differ and discuss the implications that model uncertainty has for policy-guiding applications. Location The Western Cape of South Africa. Methods We applied nine of the most widely used modelling techniques to model potential distributions under current...... and predicted future climate for four species (including two subspecies) of Proteaceae. Each model was built using an identical set of five input variables and distribution data for 3996 sampled sites. We compare model predictions by testing agreement between observed and simulated distributions for the present...

  14. Pretreatment of banana agricultural waste for bio-ethanol production: individual and interactive effects of acid and alkali pretreatments with autoclaving, microwave heating and ultrasonication.

    Science.gov (United States)

    Gabhane, Jagdish; William, S P M Prince; Gadhe, Abhijit; Rath, Ritika; Vaidya, Atul Narayan; Wate, Satish

    2014-02-01

    Banana agricultural waste is one of the potential lignocellulosic substrates which are mostly un-utilized but sufficiently available in many parts of the world. In the present study, suitability of banana waste for biofuel production with respect to pretreatment and reducing sugar yield was assessed. The effectiveness of both acid and alkali pretreatments along with autoclaving, microwave heating and ultrasonication on different morphological parts of banana (BMPs) was studied. The data were statistically analyzed using ANOVA and numerical point prediction tool of MINITAB RELEASE 14. Accordingly, the optimum cumulative conditions for maximum recovery of reducing sugar through acid pretreatment are: leaf (LF) as the substrate with 25 min of reaction time and 180°C of reaction temperature using microwave. Whereas, the optimum conditions for alkaline pretreatments are: pith (PH) as the substrate with 51 min of reaction time and 50°C of reaction temperature using ultrasonication (US).

  15. Metabolism of Flavonoids in Novel Banana Germplasm during Fruit Development.

    Science.gov (United States)

    Dong, Chen; Hu, Huigang; Hu, Yulin; Xie, Jianghui

    2016-01-01

    Banana is a commercially important fruit, but its flavonoid composition and characteristics has not been well studied in detail. In the present study, the metabolism of flavonoids was investigated in banana pulp during the entire developmental period of fruit. 'Xiangfen 1,' a novel flavonoid-rich banana germplasm, was studied with 'Brazil' serving as a control. In both varieties, flavonoids were found to exist mainly in free soluble form and quercetin was the predominant flavonoid. The most abundant free soluble flavonoid was cyanidin-3-O-glucoside chloride, and quercetin was the major conjugated soluble and bound flavonoid. Higher content of soluble flavonoids was associated with stronger antioxidant activity compared with the bound flavonoids. Strong correlation was observed between antioxidant activity and cyanidin-3-O-glucoside chloride content, suggesting that cyanidin-3-O-glucoside chloride is one of the major antioxidants in banana. In addition, compared with 'Brazil,' 'Xiangfen 1' fruit exhibited higher antioxidant activity and had more total flavonoids. These results indicate that soluble flavonoids play a key role in the antioxidant activity of banana, and 'Xiangfen 1' banana can be a rich source of natural antioxidants in human diets. PMID:27625665

  16. Metabolism of Flavonoids in Novel Banana Germplasm during Fruit Development

    Science.gov (United States)

    Dong, Chen; Hu, Huigang; Hu, Yulin; Xie, Jianghui

    2016-01-01

    Banana is a commercially important fruit, but its flavonoid composition and characteristics has not been well studied in detail. In the present study, the metabolism of flavonoids was investigated in banana pulp during the entire developmental period of fruit. ‘Xiangfen 1,’ a novel flavonoid-rich banana germplasm, was studied with ‘Brazil’ serving as a control. In both varieties, flavonoids were found to exist mainly in free soluble form and quercetin was the predominant flavonoid. The most abundant free soluble flavonoid was cyanidin-3-O-glucoside chloride, and quercetin was the major conjugated soluble and bound flavonoid. Higher content of soluble flavonoids was associated with stronger antioxidant activity compared with the bound flavonoids. Strong correlation was observed between antioxidant activity and cyanidin-3-O-glucoside chloride content, suggesting that cyanidin-3-O-glucoside chloride is one of the major antioxidants in banana. In addition, compared with ‘Brazil,’ ‘Xiangfen 1’ fruit exhibited higher antioxidant activity and had more total flavonoids. These results indicate that soluble flavonoids play a key role in the antioxidant activity of banana, and ‘Xiangfen 1’ banana can be a rich source of natural antioxidants in human diets. PMID:27625665

  17. Banana Algebra: Compositional syntactic language extension

    DEFF Research Database (Denmark)

    Andersen, Jacob; Brabrand, Claus; Christiansen, David Raymond

    2013-01-01

    We propose an algebra of languages and transformations as a means of compositional syntactic language extension. The algebra provides a layer of high-level abstractions built on top of languages (captured by context-free grammars) and transformations (captured by constructive catamorphisms......). The algebra is self-contained in that any term of the algebra specifying a transformation can be reduced to a constant catamorphism, before the transfor- mation is run. Thus, the algebra comes “for free” without sacrificing the strong safety and efficiency properties of constructive catamorphisms. The entire...... algebra as presented in the paper is implemented as the Banana Algebra Tool which may be used to syntactically extend languages in an incremental and modular fashion via algebraic composition of previously defined languages and transformations. We demonstrate and evaluate the tool via several kinds...

  18. Fast prediction unit selection method for HEVC intra prediction based on salient regions

    Science.gov (United States)

    Feng, Lei; Dai, Ming; Zhao, Chun-lei; Xiong, Jing-ying

    2016-07-01

    In order to reduce the computational complexity of the high efficiency video coding (HEVC) standard, a new algorithm for HEVC intra prediction, namely, fast prediction unit (PU) size selection method for HEVC based on salient regions is proposed in this paper. We first build a saliency map for each largest coding unit (LCU) to reduce its texture complexity. Secondly, the optimal PU size is determined via a scheme that implements an information entropy comparison among sub-blocks of saliency maps. Finally, we apply the partitioning result of saliency map on the original LCUs, obtaining the optimal partitioning result. Our algorithm can determine the PU size in advance to the angular prediction in intra coding, reducing computational complexity of HEVC. The experimental results show that our algorithm achieves a 37.9% reduction in encoding time, while producing a negligible loss in Bjontegaard delta bit rate ( BDBR) of 0.62%.

  19. The Effects of Briquetting Pressure on Banana-Peel Briquette and the Banana Waste in Northern Thailand

    Directory of Open Access Journals (Sweden)

    Patomsok Wilaipon

    2009-01-01

    Full Text Available Banana is considered as one of the most important agricultural products of Northern Thailand. A large amount of banana peel has been left as garbage after industrial processes. The raw material is plentiful and has low economic value. Therefore, the characteristics of banana-peel briquettes including banana peel properties were investigated. The briquettes were produced with pressures ranging from 3 to 11 MPa. Molasses was used as the binder. According to some standard tests, it was found that briquettes produced with compaction pressure over 7 MPa passed both impact resistance and compressive strength tests. The density-pressure relationship and strength-pressure relationship over studied range were also developed and validated.

  20. Banana peel: an effective biosorbent for aflatoxins.

    Science.gov (United States)

    Shar, Zahid Hussain; Fletcher, Mary T; Sumbal, Gul Amer; Sherazi, Syed Tufail Hussain; Giles, Cindy; Bhanger, Muhammad Iqbal; Nizamani, Shafi Muhammad

    2016-05-01

    This work reports the application of banana peel as a novel bioadsorbent for in vitro removal of five mycotoxins (aflatoxins (AFB1, AFB2, AFG1, AFG2) and ochratoxin A). The effect of operational parameters including initial pH, adsorbent dose, contact time and temperature were studied in batch adsorption experiments. Scanning electron microscopy (SEM), Fourier transform infrared spectroscopy (FTIR) and point of zero charge (pHpzc) analysis were used to characterise the adsorbent material. Aflatoxins' adsorption equilibrium was achieved in 15 min, with highest adsorption at alkaline pH (6-8), while ochratoxin has not shown any significant adsorption due to surface charge repulsion. The experimental equilibrium data were tested by Langmuir, Freundlich and Hill isotherms. The Langmuir isotherm was found to be the best fitted model for aflatoxins, and the maximum monolayer coverage (Q0) was determined to be 8.4, 9.5, 0.4 and 1.1 ng mg(-1) for AFB1, AFB2, AFG1 and AFG2 respectively. Thermodynamic parameters including changes in free energy (ΔG), enthalpy (ΔH) and entropy (ΔS) were determined for the four aflatoxins. Free energy change and enthalpy change demonstrated that the adsorption process was exothermic and spontaneous. Adsorption and desorption study at different pH further demonstrated that the sorption of toxins was strong enough to sustain pH changes that would be experienced in the gastrointestinal tract. This study suggests that biosorption of aflatoxins by dried banana peel may be an effective low-cost decontamination method for incorporation in animal feed diets. PMID:27052947

  1. Banana peel: an effective biosorbent for aflatoxins.

    Science.gov (United States)

    Shar, Zahid Hussain; Fletcher, Mary T; Sumbal, Gul Amer; Sherazi, Syed Tufail Hussain; Giles, Cindy; Bhanger, Muhammad Iqbal; Nizamani, Shafi Muhammad

    2016-05-01

    This work reports the application of banana peel as a novel bioadsorbent for in vitro removal of five mycotoxins (aflatoxins (AFB1, AFB2, AFG1, AFG2) and ochratoxin A). The effect of operational parameters including initial pH, adsorbent dose, contact time and temperature were studied in batch adsorption experiments. Scanning electron microscopy (SEM), Fourier transform infrared spectroscopy (FTIR) and point of zero charge (pHpzc) analysis were used to characterise the adsorbent material. Aflatoxins' adsorption equilibrium was achieved in 15 min, with highest adsorption at alkaline pH (6-8), while ochratoxin has not shown any significant adsorption due to surface charge repulsion. The experimental equilibrium data were tested by Langmuir, Freundlich and Hill isotherms. The Langmuir isotherm was found to be the best fitted model for aflatoxins, and the maximum monolayer coverage (Q0) was determined to be 8.4, 9.5, 0.4 and 1.1 ng mg(-1) for AFB1, AFB2, AFG1 and AFG2 respectively. Thermodynamic parameters including changes in free energy (ΔG), enthalpy (ΔH) and entropy (ΔS) were determined for the four aflatoxins. Free energy change and enthalpy change demonstrated that the adsorption process was exothermic and spontaneous. Adsorption and desorption study at different pH further demonstrated that the sorption of toxins was strong enough to sustain pH changes that would be experienced in the gastrointestinal tract. This study suggests that biosorption of aflatoxins by dried banana peel may be an effective low-cost decontamination method for incorporation in animal feed diets.

  2. Biossorption of uranium on banana pith

    International Nuclear Information System (INIS)

    Banana pith was characterized by Fourier Transformed Infrared Spectroscopy and Scanning Electron Microscopy, and investigated as a low cost bio sorbent for the removal of uranium ions from nitric solutions. Influences variable as were studied: adsorbent particle size, contact time, pH and temperature were studied. The removal percentage was increased from 13 to 57% when the particle size was decreased from 6.000 to 0.074 mm. The determined contact time was 40 minutes with 60% mean removal. The removal was increased from 40 to 55% when the pH varied from 2 to 5. The Langmuir and Freundlich linear isotherm models were applied to describe the adsorption equilibrium. The kinetic of the process was studied using the pseudo-first order and pseudo-second order models. Thermodynamics parameters such as ΔG, ΔS and ΔH were calculated. In concentration range of 50 - 500 mg.L-1, the adsorption process was described better by the Freundlich equation. The adsorption capacity at equilibrium of uranium ions was determined from the Langmuir equation, and it was found 11.50 mg.g-1 at 25 ± 2 deg C. The kinetic was better represented by the pseudo-second order model. The bio sorption process for uranium removal from the solutions was considered an exothermic reaction, and the values of ΔH and ΔS obtained were -9.61 kJ.mol''-1 and 1.37 J.mol''-1, respectively. The values of the Gibbs free energy changed from -10.03 to -10.06 kJ.mol-1 when the temperature was increased from 30 to 50 deg C. This study showed the potential application of the banana pith as bio sorbent of uranium ions. (author)

  3. Pre-processing in AI based Prediction of QSARs

    CERN Document Server

    Patri, Om Prasad

    2009-01-01

    Machine learning, data mining and artificial intelligence (AI) based methods have been used to determine the relations between chemical structure and biological activity, called quantitative structure activity relationships (QSARs) for the compounds. Pre-processing of the dataset, which includes the mapping from a large number of molecular descriptors in the original high dimensional space to a small number of components in the lower dimensional space while retaining the features of the original data, is the first step in this process. A common practice is to use a mapping method for a dataset without prior analysis. This pre-analysis has been stressed in our work by applying it to two important classes of QSAR prediction problems: drug design (predicting anti-HIV-1 activity) and predictive toxicology (estimating hepatocarcinogenicity of chemicals). We apply one linear and two nonlinear mapping methods on each of the datasets. Based on this analysis, we conclude the nature of the inherent relationships betwee...

  4. A NEW ADMISSION CONTROL APPROACH BASED ON PREDICTION

    Institute of Scientific and Technical Information of China (English)

    Lu Kaining; Jin Zhigang; Zou Jun

    2002-01-01

    Admission control plays an important role in providing QoS to network users. Motivated by the measurement-based admission control algorithm, this letter proposed a new admission control approach for integrated service packet network based on traffic prediction. In the letter, FARIMA(p, d, q) models in the admission control algorithm is deployed. A method to simplify the FARIMA model fitting procedure and hence to reduce the time of traffic modeling and prediction is suggested. The feasibility-study experiments show that FARIMA models which have less number of parameters can be used to model and predict actual traffic on quite a large time scale. Simulation results validate the promising approach.

  5. Endpoint Prediction of EAF Based on Multiple Support Vector Machines

    Institute of Scientific and Technical Information of China (English)

    YUAN Ping; MAO Zhi-zhong; WANG Fu-li

    2007-01-01

    The endpoint parameters are very important to the process of EAF steel-making, but their on-line measurement is difficult. The soft sensor technology is widely used for the prediction of endpoint parameters. Based on the analysis of the smelting process of EAF and the advantages of support vector machines, a soft sensor model for predicting the endpoint parameters was built using multiple support vector machines (MSVM). In this model, the input space was divided by subtractive clustering and a sub-model based on LS-SVM was built in each sub-space. To decrease the correlation among the sub-models and to improve the accuracy and robustness of the model, the sub-models were combined by Principal Components Regression. The accuracy of the soft sensor model is perfectly improved. The simulation result demonstrates the practicability and efficiency of the MSVM model for the endpoint prediction of EAF.

  6. Snippet-based relevance predictions for federated web search

    NARCIS (Netherlands)

    Demeester, Thomas; Nguyen, Dong; Trieschnigg, Dolf; Develder, Chris; Hiemstra, Djoerd

    2013-01-01

    How well can the relevance of a page be predicted, purely based on snippets? This would be highly useful in a Federated Web Search setting where caching large amounts of result snippets is more feasible than caching entire pages. The experiments reported in this paper make use of result snippets and

  7. [Effects of continuous application of bio-organic fertilizer on banana production and cultural microflora of bulk soil in orchard with serious disease incidence].

    Science.gov (United States)

    Zhong, Shu-tang; Shen, Zong-zhuan; Sun, Yi-fei; Lyu, Na-na; Ruan, Yun-ze; Li, Rong; Shen, Qi-rong

    2015-02-01

    A field experiment was conducted for two years to investigate the effects of different fertilization applications on the suppression of banana fusarium wilt disease, crop yield, fruit quality and culturable microflora in a banana orchard which has been monocultured with banana for 12 years and suffered serious banana fusarium wilt disease. The fertilizers included chemical fertilizer (CF), cow manure compost (CM), pig manure compost (PM) and bio-organic fertilizer (BIO). The banana soil microflora was invested using plate-counting method and culture-dependent polymerase chain reaction denaturing gradient gel electrophoresis method (CD PCR-DGGE). Results showed that, compared with the other treatments, 2-year consecutive application of BIO significantly reduced the banana fusarium wilt disease incidence, and improved the banana mass per tree, crop yield, total soluble sugar content and the ratio of total soluble sugar to titratable acidity of fruits (sugar/acid ratio). Moreover, the analysis of culturable microflora showed that BIO application significantly increased the soil microbial biomass, soil culturable bacteria, bacillus and actinomycetes, and the ratio of bacteria to fungi (B/F) , while decreased the Fusarium oxysporum. Based on the CD PCR-DGGE results, the BIO application significantly altered the soil culturable bacterial structure and showed highest richness and diversity after 2 years of BIO application. The phylogenetic analysis of the selected bands showed that BIO application enriched the soil with the species of Paenibacillus sp., Burkholderia sp., uncultured Verrucomicrobia sp. and Bacillus aryabhattai, and depressed the species of Ralstonia sp., Chryseobacterium gleum, Fluviicola taffensis, Enterobacter sp. and Bacillus megaterium. These results confirmed that the continuous application of BIO effectively controlled the fusarium wilt disease, improved the crop yield and fruit quality, and modulated the soil culturable microflora under field

  8. Molecular characterization of banana bunchy top virus isolate from Sri Lanka and its genetic relationship with other isolates.

    Science.gov (United States)

    Wickramaarachchi, W A R T; Shankarappa, K S; Rangaswamy, K T; Maruthi, M N; Rajapakse, R G A S; Ghosh, Saptarshi

    2016-06-01

    Bunchy top disease of banana caused by Banana bunchy top virus (BBTV, genus Babuvirus family Nanoviridae) is one of the most important constraints in production of banana in the different parts of the world. Six genomic DNA components of BBTV isolate from Kandy, Sri Lanka (BBTV-K) were amplified by polymerase chain reaction (PCR) with specific primers using total DNA extracted from banana tissues showing typical symptoms of bunchy top disease. The amplicons were of expected size of 1.0-1.1 kb, which were cloned and sequenced. Analysis of sequence data revealed the presence of six DNA components; DNA-R, DNA-U3, DNA-S, DNA-N, DNA-M and DNA-C for Sri Lanka isolate. Comparisons of sequence data of DNA components followed by the phylogenetic analysis, grouped Sri Lanka-(Kandy) isolate in the Pacific Indian Oceans (PIO) group. Sri Lanka-(Kandy) isolate of BBTV is classified a new member of PIO group based on analysis of six components of the virus.

  9. Genotype-by-Environment Interaction and Testing Environments for Plantain and Banana (Musa spp. L. Breeding in West Africa

    Directory of Open Access Journals (Sweden)

    Ortiz, R.

    1999-01-01

    Full Text Available With reduced budgets allocated for international agricultural research, site rationalisation had become an important issue to consider when carrying out multilocational testing of promising selections. The aim of this paper was to determine the importance of the genotype-by-environment interaction in multilocational trials of plantains and bananas (Musa spp. L. in selected sites of West Africa comprising the humid forest and the forest-savanna transition zones. A sample of plantain-banana hybrids, plantain landraces, exotic banana cultivars and diploid parental banana accessions were evaluated in three locations : Mbalmayo and Onne (humid forest and Ibadan (forest-savanna transition. The experimental results of our research suggested that multilocational testing is more profitable than single site evaluation over several years in the Musa breeding station. Furthermore, based on correlated responses across environments for yield potential, we suggest that one of the selection sites in the humid forest (i. e., Mbalmayo be dropped since selections in one site (Onne may be well adapted to the other location in the same agroecozone. Conversely, the relatively poor performance of most genotypes in dry environments (e. g. Ibadan reinforces the importance of early testing across a wide range of environments. In this way selections with broad or specific adaptation may be identified for further release to targeted farmers.

  10. Molecular characterization of banana bunchy top virus isolate from Sri Lanka and its genetic relationship with other isolates.

    Science.gov (United States)

    Wickramaarachchi, W A R T; Shankarappa, K S; Rangaswamy, K T; Maruthi, M N; Rajapakse, R G A S; Ghosh, Saptarshi

    2016-06-01

    Bunchy top disease of banana caused by Banana bunchy top virus (BBTV, genus Babuvirus family Nanoviridae) is one of the most important constraints in production of banana in the different parts of the world. Six genomic DNA components of BBTV isolate from Kandy, Sri Lanka (BBTV-K) were amplified by polymerase chain reaction (PCR) with specific primers using total DNA extracted from banana tissues showing typical symptoms of bunchy top disease. The amplicons were of expected size of 1.0-1.1 kb, which were cloned and sequenced. Analysis of sequence data revealed the presence of six DNA components; DNA-R, DNA-U3, DNA-S, DNA-N, DNA-M and DNA-C for Sri Lanka isolate. Comparisons of sequence data of DNA components followed by the phylogenetic analysis, grouped Sri Lanka-(Kandy) isolate in the Pacific Indian Oceans (PIO) group. Sri Lanka-(Kandy) isolate of BBTV is classified a new member of PIO group based on analysis of six components of the virus. PMID:27366766

  11. Multi-Agent Reinforcement Learning Algorithm Based on Action Prediction

    Institute of Scientific and Technical Information of China (English)

    TONG Liang; LU Ji-lian

    2006-01-01

    Multi-agent reinforcement learning algorithms are studied. A prediction-based multi-agent reinforcement learning algorithm is presented for multi-robot cooperation task. The multi-robot cooperation experiment based on multi-agent inverted pendulum is made to test the efficency of the new algorithm, and the experiment results show that the new algorithm can achieve the cooperation strategy much faster than the primitive multiagent reinforcement learning algorithm.

  12. A burnout prediction model based around char morphology

    Energy Technology Data Exchange (ETDEWEB)

    T. Wu; E. Lester; M. Cloke [University of Nottingham, Nottingham (United Kingdom). Nottingham Energy and Fuel Centre

    2005-07-01

    Poor burnout in a coal-fired power plant has marked penalties in the form of reduced energy efficiency and elevated waste material that can not be utilized. The prediction of coal combustion behaviour in a furnace is of great significance in providing valuable information not only for process optimization but also for coal buyers in the international market. Coal combustion models have been developed that can make predictions about burnout behaviour and burnout potential. Most of these kinetic models require standard parameters such as volatile content, particle size and assumed char porosity in order to make a burnout prediction. This paper presents a new model called the Char Burnout Model (ChB) that also uses detailed information about char morphology in its prediction. The model can use data input from one of two sources. Both sources are derived from image analysis techniques. The first from individual analysis and characterization of real char types using an automated program. The second from predicted char types based on data collected during the automated image analysis of coal particles. Modelling results were compared with a different carbon burnout kinetic model and burnout data from re-firing the chars in a drop tube furnace operating at 1300{sup o}C, 5% oxygen across several residence times. An improved agreement between ChB model and DTF experimental data proved that the inclusion of char morphology in combustion models can improve model predictions. 27 refs., 4 figs., 4 tabs.

  13. Lifetime prediction based on Gamma processes from accelerated degradation data

    Institute of Scientific and Technical Information of China (English)

    Wang Haowei; Xu Tingxue; Mi Qiaoli

    2015-01-01

    Accelerated degradation test is a useful approach to predict the product lifetime at the normal use stress level, especially for highly reliable products. Two kinds of the lifetime prediction based on Gamma processes were studied. One was to predict the lifetime of the population from accelerated degradation data, and the other was to predict the lifetime of an individual by taking the accelerated degradation data as prior information. For an extensive application, the Gamma process with a time transformation and random effects was considered. A novel contribution is that a deducing method for determining the relationships between the shape and scale parameters of Gamma processes and accelerated stresses was presented. When predicting the lifetime of an indi-vidual, Bayesian inference methods were adopted to improve the prediction accuracy, in which the conjugate prior distribution and the non-conjugate prior distribution of random parameters were studied. The conjugate prior distribution only considers the random effect of the scale parameter while the non-conjugate prior distribution considers the random effects of both the scale and shape parameter. The application and usefulness of the proposed method was demonstrated by the accelerated degradation data of carbon-film resistors.

  14. Predicting Difficult Laparoscopic Cholecystectomy Based on Clinicoradiological Assessment

    Science.gov (United States)

    Udachan, Tejaswini V; Sasnur, Prasad; Baloorkar, Ramakanth; Sindgikar, Vikram; Narasangi, Basavaraj

    2015-01-01

    Introduction Laparoscopic cholecystectomy (LC) is the gold standard treatment for symptomatic cholelithiasis. However, of all Laparoscopic cholecystectomies, 1-13% requires conversion to an open for various reasons. Thus, for surgeons it would be helpful to establish criteria that would predict difficult laparoscopic cholecystectomy and conversion preoperatively. But there is no clear consensus among the laparoscopic surgeons regarding the parameters predicting the difficult dissection and conversion to open cholecystectomy. Aim To assess the clinical and radiological parameters for predicting the difficult laparoscopic cholecystectomy and its conversion. Materials and Methods This was a prospective study conducted from October 2010 to October 2014. Total of 180 patients meeting the inclusion criteria undergoing LC were included in the study. Four parameters were assessed to predict the difficult LC. These parameters were: 1) Gallbladder wall thickness; 2) Pericholecystic fluid collection; 3) Number of attacks; 4) Total leucocyte count. The statistical analysis was done using Z-test. Results Out of 180 patients included in this study 126 (70%) were easy, 44 (24.44%) were difficult and 3 (5.56%) patients required conversion to open cholecystectomy. The overall conversion rate was 5.6%. The TLC>11000, more than 2 previous attacks of cholecystitis, GB wall thickness of >3mm and Pericholecystic collection were all statistically significant for predicting the difficult LC and its conversion. Conclusion The difficult laparoscopic cholecystectomy and conversion to open surgery can be predicted preoperatively based on number of previous attacks of cholecystitis, WBC count, Gall bladder wall thickness and Pericholecystic collection. PMID:26816942

  15. A burnout prediction model based around char morphology

    Energy Technology Data Exchange (ETDEWEB)

    Tao Wu; Edward Lester; Michael Cloke [University of Nottingham, Nottingham (United Kingdom). School of Chemical, Environmental and Mining Engineering

    2006-05-15

    Several combustion models have been developed that can make predictions about coal burnout and burnout potential. Most of these kinetic models require standard parameters such as volatile content and particle size to make a burnout prediction. This article presents a new model called the char burnout (ChB) model, which also uses detailed information about char morphology in its prediction. The input data to the model is based on information derived from two different image analysis techniques. One technique generates characterization data from real char samples, and the other predicts char types based on characterization data from image analysis of coal particles. The pyrolyzed chars in this study were created in a drop tube furnace operating at 1300{sup o}C, 200 ms, and 1% oxygen. Modeling results were compared with a different carbon burnout kinetic model as well as the actual burnout data from refiring the same chars in a drop tube furnace operating at 1300{sup o}C, 5% oxygen, and residence times of 200, 400, and 600 ms. A good agreement between ChB model and experimental data indicates that the inclusion of char morphology in combustion models could well improve model predictions. 38 refs., 5 figs., 6 tabs.

  16. Acute hepatotoxicity: a predictive model based on focused illumina microarrays.

    Science.gov (United States)

    Zidek, Nadine; Hellmann, Juergen; Kramer, Peter-Juergen; Hewitt, Philip G

    2007-09-01

    Drug-induced hepatotoxicity is a major issue for drug development, and toxicogenomics has the potential to predict toxicity during early toxicity screening. A bead-based Illumina oligonucleotide microarray containing 550 liver specific genes has been developed. We have established a predictive screening system for acute hepatotoxicity by analyzing differential gene expression profiles of well-known hepatotoxic and nonhepatotoxic compounds. Low and high doses of tetracycline, carbon tetrachloride (CCL4), 1-naphthylisothiocyanate (ANIT), erythromycin estolate, acetaminophen (AAP), or chloroform as hepatotoxicants, clofibrate, theophylline, naloxone, estradiol, quinidine, or dexamethasone as nonhepatotoxic compounds, were administered as a single dose to male Sprague-Dawley rats. After 6, 24, and 72 h, livers were taken for histopathological evaluation and for analysis of gene expression alterations. All hepatotoxic compounds tested generated individual gene expression profiles. Based on leave-one-out cross-validation analysis, gene expression profiling allowed the accurate discrimination of all model compounds, 24 h after high dose treatment. Even during the regeneration phase, 72 h after treatment, CCL4, ANIT, and AAP were predicted to be hepatotoxic, and only these three compounds showed histopathological changes at this time. Furthermore, we identified 64 potential marker genes responsible for class prediction, which reflected typical hepatotoxicity responses. These genes and pathways, commonly deregulated by hepatotoxicants, may be indicative of the early characterization of hepatotoxicity and possibly predictive of later hepatotoxicity onset. Two unknown test compounds were used for prevalidating the screening test system, with both being correctly predicted. We conclude that focused gene microarrays are sufficient to classify compounds with respect to toxicity prediction. PMID:17522070

  17. Prediction of eukaryotic gene structures based on multilevel optimization

    Institute of Scientific and Technical Information of China (English)

    ZHOU Yanhong; YANG Lei; WANG Hui; LU Feng; WAN Honghui

    2004-01-01

    Computational gene structure prediction, which is valuable for finding new genes and understanding the composition of genomes, plays a very important role in various kinds of genome projects. For eukaryotic gene structures, however, the prediction accuracy of existing methods is still limited. This paper presents a method of predicting eukaryotic gene structures based on multilevel optimization. The complicated problem of predicting gene structure in eukaryotic DNA sequence containing multiple genes can be decomposed into a series of sub-problems at several levels with decreasing complexity, including the gene level (single-exon gene, multi-exon gene), the element level (exon, intron, etc.), and the feature level (functional site signals, codon usage preference, etc.). On the basis of this decomposition, a multilevel model for the prediction of complex gene structures is created by a multilevel optimization process, in which the models dealing with sub-problems at low complexity level are first optimized respectively, and then optimally combined together to form models for those sub-problems at higher complexity level. Based on the multilevel model, a dynamic programming algorithm is designed to search for optimal gene structures from DNA sequences, and a new program GeneKey (1.0) for the prediction of eukaryotic gene structures is developed. Testing results with widely used datasets demonstrate that the prediction accuracies of GeneKey (1.0) at the nucleotide level, exon level and gene level are all higher than that of the well known program GENSCAN. A web server of GeneKey(1.0) is available at http://infosci.hust.edu.cn

  18. Control of Unknown Chaotic Systems Based on Neural Predictive Control

    Institute of Scientific and Technical Information of China (English)

    LIDong-Mei; WANGZheng-Ou

    2003-01-01

    We introduce the predictive control into the control of chaotic system and propose a neural network control algorithm based on predictive control. The proposed control system stabilizes the chaotic motion in an unknown chaotic system onto the desired target trajectory. The proposed algorithm is simple and its convergence speed is much higher than existing similar algorithms. The control system can control hyperchaos. We analyze the stability of the control system and prove the convergence property of the neural controller. The theoretic derivation and simulations demonstrate the effectiveness of the algorithm.

  19. Comparing model predictions for ecosystem-based management

    DEFF Research Database (Denmark)

    Jacobsen, Nis Sand; Essington, Timothy E.; Andersen, Ken Haste

    2016-01-01

    Ecosystem modeling is becoming an integral part of fisheries management, but there is a need to identify differences between predictions derived from models employed for scientific and management purposes. Here, we compared two models: a biomass-based food-web model (Ecopath with Ecosim (Ew...... of forage fisheries removal. In both cases, the differences are due to the presumed degree of trophic overlap between juveniles of large-bodied fish and adult stages of forage fish. These differences highlight how each model’s emphasis on distinct details of ecological processes affects its predictions...

  20. Control of Unknown Chaotic Systems Based on Neural Predictive Control

    Institute of Scientific and Technical Information of China (English)

    LI Dong-Mei; WANG Zheng-Ou

    2003-01-01

    We introduce the predictive control into the control of chaotic system and propose a neural networkcontrol algorithm based on predictive control. The proposed control system stabilizes the chaotic motion in an unknownchaotic system onto the desired target trajectory. The proposed algorithm is simple and its convergence speed is muchhigher than existing similar algorithms. The control system can control hyperchaos. We analyze the stability of thecontrol system and prove the convergence property of the neural controller. The theoretic derivation and simulationsdemonstrate the effectiveness of the algorithm.

  1. Prediction of Banking Systemic Risk Based on Support Vector Machine

    Directory of Open Access Journals (Sweden)

    Shouwei Li

    2013-01-01

    Full Text Available Banking systemic risk is a complex nonlinear phenomenon and has shed light on the importance of safeguarding financial stability by recent financial crisis. According to the complex nonlinear characteristics of banking systemic risk, in this paper we apply support vector machine (SVM to the prediction of banking systemic risk in an attempt to suggest a new model with better explanatory power and stability. We conduct a case study of an SVM-based prediction model for Chinese banking systemic risk and find the experiment results showing that support vector machine is an efficient method in such case.

  2. Analysis of fault detection method based on predictive filter approach

    Institute of Scientific and Technical Information of China (English)

    LI Ji; ZHANG Hongyue

    2005-01-01

    A new detection method for component faults based on predictive filters together with the fault detectability, false alarm rate, missed alarm rate and upper bound of detection time are proposed. The efficiency of the method is illustrated by a simulation example of a second-order system. It is shown that the fault detection method using predictive filters has a small delay, a low false alarm rate and a low missed alarm rate. Furthermore the filter can give accurate estimates of states even after a fault occurs. The real-time estimation provided by this method can also be used for fault tolerant control.

  3. Prediction of potential drug targets based on simple sequence properties

    Directory of Open Access Journals (Sweden)

    Lai Luhua

    2007-09-01

    Full Text Available Abstract Background During the past decades, research and development in drug discovery have attracted much attention and efforts. However, only 324 drug targets are known for clinical drugs up to now. Identifying potential drug targets is the first step in the process of modern drug discovery for developing novel therapeutic agents. Therefore, the identification and validation of new and effective drug targets are of great value for drug discovery in both academia and pharmaceutical industry. If a protein can be predicted in advance for its potential application as a drug target, the drug discovery process targeting this protein will be greatly speeded up. In the current study, based on the properties of known drug targets, we have developed a sequence-based drug target prediction method for fast identification of novel drug targets. Results Based on simple physicochemical properties extracted from protein sequences of known drug targets, several support vector machine models have been constructed in this study. The best model can distinguish currently known drug targets from non drug targets at an accuracy of 84%. Using this model, potential protein drug targets of human origin from Swiss-Prot were predicted, some of which have already attracted much attention as potential drug targets in pharmaceutical research. Conclusion We have developed a drug target prediction method based solely on protein sequence information without the knowledge of family/domain annotation, or the protein 3D structure. This method can be applied in novel drug target identification and validation, as well as genome scale drug target predictions.

  4. The Standard System and Quality and Safety Standards for Banana in China

    Institute of Scientific and Technical Information of China (English)

    Dongmei; ZOU; Yongbo; Pan; Zhi; XU; Jinhui; LUO

    2015-01-01

    Banana is an important tropical fruit and China is the world’s third largest banana producer. The standardization level of banana industry not only affects the yield and quality of banana,but also plays an important role in promoting the production standardization and industrialization of other tropical crops. Through the analysis of revision,publicity and implementation of banana standard system in China as well as the study on its standard system and quality and safety standards,it is found that there are some problems such as irrational banana standard structure,short period of validity of standard,low level of quality and safety standards,and loose link between standards and production. At the same time,some recommendations are put forward in order to guide the standardized production and trade,research and management of banana and promote sustained,healthy and stable development of the banana industry in China.

  5. Prediction Research of Red Tide Based on Improved FCM

    Directory of Open Access Journals (Sweden)

    Xiaomei Hu

    2016-01-01

    Full Text Available Red tides are caused by the combination effects of many marine elements. The complexity of the marine ecosystem makes it hard to find the relationship between marine elements and red tides. The algorithm of fuzzy c-means (FCM can get clear classification of things and expresses the fuzzy state among different things. Therefore, a prediction algorithm of red tide based on improved FCM is proposed. In order to overcome the defect of FCM which is overdependent on the initial cluster centers and the objective function, this paper gains the initial cluster centers through the principle of regional minimum data density and the minimum mean distance. The feature weighted cluster center is added to the objective function. Finally, the improved FCM algorithm is applied in the prediction research of red tide, and the results show that the improved FCM algorithm has good denoising ability and high accuracy in the prediction of red tides.

  6. Ontology-based prediction of surgical events in laparoscopic surgery

    Science.gov (United States)

    Katić, Darko; Wekerle, Anna-Laura; Gärtner, Fabian; Kenngott, Hannes; Müller-Stich, Beat Peter; Dillmann, Rüdiger; Speidel, Stefanie

    2013-03-01

    Context-aware technologies have great potential to help surgeons during laparoscopic interventions. Their underlying idea is to create systems which can adapt their assistance functions automatically to the situation in the OR, thus relieving surgeons from the burden of managing computer assisted surgery devices manually. To this purpose, a certain kind of understanding of the current situation in the OR is essential. Beyond that, anticipatory knowledge of incoming events is beneficial, e.g. for early warnings of imminent risk situations. To achieve the goal of predicting surgical events based on previously observed ones, we developed a language to describe surgeries and surgical events using Description Logics and integrated it with methods from computational linguistics. Using n-Grams to compute probabilities of followup events, we are able to make sensible predictions of upcoming events in real-time. The system was evaluated on professionally recorded and labeled surgeries and showed an average prediction rate of 80%.

  7. Reducing the Prediction Horizon in NMPC: An Algorithm Based Approach

    CERN Document Server

    Pannek, Jürgen

    2011-01-01

    In order to guarantee stability, known results for MPC without additional terminal costs or endpoint constraints often require rather large prediction horizons. Still, stable behavior of closed loop solutions can often be observed even for shorter horizons. Here, we make use of the recent observation that stability can be guaranteed for smaller prediction horizons via Lyapunov arguments if more than only the first control is implemented. Since such a procedure may be harmful in terms of robustness, we derive conditions which allow to increase the rate at which state measurements are used for feedback while maintaining stability and desired performance specifications. Our main contribution consists in developing two algorithms based on the deduced conditions and a corresponding stability theorem which ensures asymptotic stability for the MPC closed loop for significantly shorter prediction horizons.

  8. Temperature prediction control based on least squares support vector machines

    Institute of Scientific and Technical Information of China (English)

    Bin LIU; Hongye SU; Weihua HUANG; Jian CHU

    2004-01-01

    A prediction control algorithm is presented based on least squares support vector machines (LS-SVM) model for a class of complex systems with strong nonlinearity.The nonlinear off-line model of the controlled plant is built by LS-SVM with radial basis function (RBF) kernel.In the process of system running,the off-line model is linearized at each sampling instant,and the generalized prediction control (GPC) algorithm is employed to implement the prediction control for the controlled plant.The obtained algorithm is applied to a boiler temperature control system with complicated nonlinearity and large time delay.The results of the experiment verify the effectiveness and merit of the algorithm.

  9. Predictive Control-Based Optimal Nonliear Reentry Guidance Law.

    Directory of Open Access Journals (Sweden)

    S. E. Tablole

    1998-04-01

    Full Text Available This Paper discusses a new nominal riding reentry guidance low design based on a nonlinear optimal predictive control approach. In this method, the error between the actual trajectory and the nominal trajectory is predicted, and a quadratic cost function of these predicted errors is minimised, resulting in an optimal feedback guidance law design. The guidance low thus obtained does not require linearisation of the equations of motion. A nominal trajectory is selected which Satisfies the vehicle constraints and mission objectives. This nominal data is used with actual data to evaluate the guidance low. simulations have been carried out for a planar trajectory for a variety of initial condition errors and also for off nominal conditions and the results are presented.

  10. Prediction of blast-induced air overpressure: a hybrid AI-based predictive model.

    Science.gov (United States)

    Jahed Armaghani, Danial; Hajihassani, Mohsen; Marto, Aminaton; Shirani Faradonbeh, Roohollah; Mohamad, Edy Tonnizam

    2015-11-01

    Blast operations in the vicinity of residential areas usually produce significant environmental problems which may cause severe damage to the nearby areas. Blast-induced air overpressure (AOp) is one of the most important environmental impacts of blast operations which needs to be predicted to minimize the potential risk of damage. This paper presents an artificial neural network (ANN) optimized by the imperialist competitive algorithm (ICA) for the prediction of AOp induced by quarry blasting. For this purpose, 95 blasting operations were precisely monitored in a granite quarry site in Malaysia and AOp values were recorded in each operation. Furthermore, the most influential parameters on AOp, including the maximum charge per delay and the distance between the blast-face and monitoring point, were measured and used to train the ICA-ANN model. Based on the generalized predictor equation and considering the measured data from the granite quarry site, a new empirical equation was developed to predict AOp. For comparison purposes, conventional ANN models were developed and compared with the ICA-ANN results. The results demonstrated that the proposed ICA-ANN model is able to predict blast-induced AOp more accurately than other presented techniques. PMID:26433903

  11. Transcriptome profiling of resistant and susceptible Cavendish banana roots following inoculation with Fusarium oxysporum f. sp. cubense tropical race 4

    Directory of Open Access Journals (Sweden)

    Li Chun-yu

    2012-08-01

    Full Text Available Abstract Background Fusarium wilt, caused by the fungal pathogen Fusarium oxysporum f. sp. cubense tropical race 4 (Foc TR4, is considered the most lethal disease of Cavendish bananas in the world. The disease can be managed in the field by planting resistant Cavendish plants generated by somaclonal variation. However, little information is available on the genetic basis of plant resistance to Foc TR4. To a better understand the defense response of resistant banana plants to the Fusarium wilt pathogen, the transcriptome profiles in roots of resistant and susceptible Cavendish banana challenged with Foc TR4 were compared. Results RNA-seq analysis generated more than 103 million 90-bp clean pair end (PE reads, which were assembled into 88,161 unigenes (mean size = 554 bp. Based on sequence similarity searches, 61,706 (69.99% genes were identified, among which 21,273 and 50,410 unigenes were assigned to gene ontology (GO categories and clusters of orthologous groups (COG, respectively. Searches in the Kyoto Encyclopedia of Genes and Genomes Pathway database (KEGG mapped 33,243 (37.71% unigenes to 119 KEGG pathways. A total of 5,008 genes were assigned to plant-pathogen interactions, including disease defense and signal transduction. Digital gene expression (DGE analysis revealed large differences in the transcriptome profiles of the Foc TR4-resistant somaclonal variant and its susceptible wild-type. Expression patterns of genes involved in pathogen-associated molecular pattern (PAMP recognition, activation of effector-triggered immunity (ETI, ion influx, and biosynthesis of hormones as well as pathogenesis-related (PR genes, transcription factors, signaling/regulatory genes, cell wall modification genes and genes with other functions were analyzed and compared. The results indicated that basal defense mechanisms are involved in the recognition of PAMPs, and that high levels of defense-related transcripts may contribute to Foc TR4 resistance in

  12. 广西南宁市香蕉产业发展探讨%Discussion on the Development of Banana Industry of Nanning City in Guangxi

    Institute of Scientific and Technical Information of China (English)

    卢亭君; 林作晓; 周金娇; 陈永宁

    2011-01-01

    在分析国内外香蕉产业概况和对南宁市香蕉产业现状调查的基础上,针对南宁市香蕉生产存在的制约因素,提出南宁市香蕉产业发展的七大对策,即加快南宁市香蕉产业化生产进程,实行香蕉标准化生产,推广香蕉“无伤化”采收包装和“冷链”贮藏运输技术,减少损耗、提高商品价值,努力实现香蕉生产基地与销售市场零对接,设立市级“香蕉产业协调办公室”,建立“香蕉期货交易中心”和采取坚决有力的措施控制香蕉灾害性病害的蔓延扩大,为南宁市香蕉产业的发展提供理论参考。%Based on analysis of industry overview in China and abroad and investigation on banana industry status of Nanning city, aimed to restrictive factors existing in banana production of Nanning city, seven countermeasures to develop banana industry of Nanning city were put forward, including accelerating the banana industrial process, standardizing production, promoting the banana recovery packaging without wound and the store and transportation technologies with the cold chain, reducing loss and improving commodity value, realizing the connection of banana production base with sell market, establishing the banana industry coordination office and futures transaction center, adoping the fim~ powerful measure to control expansion of banana catastrophie diseases, and so on, which provided the theory reference for the Nanning banana industry's development.

  13. The Attribute for Hydrocarbon Prediction Based on Attenuation

    Science.gov (United States)

    Hermana, Maman; Harith, Z. Z. T.; Sum, C. W.; Ghosh, D. P.

    2014-03-01

    Hydrocarbon prediction is a crucial issue in the oil and gas industry. Currently, the prediction of pore fluid and lithology are based on amplitude interpretation which has the potential to produce pitfalls in certain conditions of reservoir. Motivated by this fact, this work is directed to find out other attributes that can be used to reduce the pitfalls in the amplitude interpretation. Some seismic attributes were examined and studies showed that the attenuation attribute is a better attribute for hydrocarbon prediction. Theoretically, the attenuation mechanism of wave propagation is associated with the movement of fluid in the pore; hence the existence of hydrocarbon in the pore will be represented by attenuation attribute directly. In this paper we evaluated the feasibility of the quality factor ratio of P-wave and S-wave (Qp/Qs) as hydrocarbon indicator using well data and also we developed a new attribute based on attenuation for hydrocarbon prediction -- Normalized Energy Reduction Stack (NERS). To achieve these goals, this work was divided into 3 main parts; estimating the Qp/Qs on well log data, testing the new attribute in the synthetic data and applying the new attribute on real data in Malay Basin data. The result show that the Qp/Qs is better than Poisson's ratio and Lamda over Mu as hydrocarbon indicator. The curve, trend analysis and contrast of Qp/Qs is more powerful at distinguishing pore fluid than Poisson ratio and Lamda over Mu. The NERS attribute was successful in distinguishing the hydrocarbon from brine on synthetic data. Applying this attribute on real data on Malay basin, the NERS attribute is qualitatively conformable with the structure and location where the gas is predicted. The quantitative interpretation of this attribute for hydrocarbon prediction needs to be investigated further.

  14. Caracterização da farinha de banana verde Green banana flour characterization

    Directory of Open Access Journals (Sweden)

    Antonia de Maria Borges

    2009-06-01

    Full Text Available O presente trabalho objetivou a obtenção, a caracterização físico-química e o controle microbiológico durante o processamento da farinha de banana (Musa spp. verde, cv. Prata, visando o seu aproveitamento na panificação, produtos dietéticos e alimentos infantis. Para obtenção da farinha, os frutos foram cortados, imersos em metabissulfito de sódio, desidratados e triturados, sendo em seguida, feitas as seguintes determinações: umidade; extrato etéreo; proteína bruta; fibra bruta; cinzas; fração glicídica; amido; valor calórico; pH; acidez total titulável; vitamina C; macrominerais (K, P, Ca, Mg, S e N; microminerais (B, Cu, Mn, Zn e Fe; coliformes a 45 °C; fungos filamentosos e leveduras; Bacillus cereus; Salmonella sp.; Staphylococcus aureus; e contagem de aeróbios mesófilos. Os resultados indicaram que a banana 'Prata' verde é viável para o processo de obtenção da farinha de banana, tendo em vista que é rica em amido, proteína, potássio, fósforo, magnésio, zinco, cobre e tem um alto valor calórico. O pH, a acidez total titulável e a vitamina C estão compatíveis com os valores encontrados em outras farinhas. Quanto ao uso de boas práticas no processamento, a farinha encontra-se dentro do padrão microbiológico ideal e, portanto, está apta para o consumo.The objective of the present study was the physicochemical characterization and the microbiological control during the processing of the green banana flour (Musa spp., Prata cultivar, aiming at the use of the flour in bread-making, dietary products and children's food. To obtain the flour, the fruits were cut, immersed in sodium meta-bisulfite, dehydrated, and ground. The following criteria were determined: humidity; ethereal extract; raw protein; raw fiber; ash; glicidic fraction; starch; caloric value; pH; total titratable acidity; vitamin C; macrominerals (K, P, Ca, Mg, S and N; microminerals (B, Cu, Mn, Zn and Fe; coliforms at 45 °C; filamentous

  15. Neural Network Predictive Control Based Power System Stabilizer

    Directory of Open Access Journals (Sweden)

    Ali Mohamed Yousef

    2012-04-01

    Full Text Available The present study investigates the power system stabilizer based on neural predictive control for improving power system dynamic performance over a wide range of operating conditions. In this study a design and application of the Neural Network Model Predictive Controller (NN-MPC on a simple power system composed of a synchronous generator connected to an infinite bus through a transmission line is proposed. The synchronous machine is represented in detail, taking into account the effect of the machine saliency and the damper winding. Neural network model predictive control combines reliable prediction of neural network model with excellent performance of model predictive control using nonlinear Levenberg-Marquardt optimization. This control system is used the rotor speed deviation as a feedback signal. Furthermore, the using performance system of the proposed controller is compared with the system performance using conventional one (PID controller through simulation studies. Digital simulation has been carried out in order to validate the effectiveness proposed NN-MPC power system stabilizer for achieving excellent performance. The results demonstrate that the effectiveness and superiority of the proposed controller in terms of fast response and small settling time.

  16. A New Particle Swarm Optimization Based Stock Market Prediction Technique

    Directory of Open Access Journals (Sweden)

    Essam El. Seidy

    2016-04-01

    Full Text Available Over the last years, the average person's interest in the stock market has grown dramatically. This demand has doubled with the advancement of technology that has opened in the International stock market, so that nowadays anybody can own stocks, and use many types of software to perform the aspired profit with minimum risk. Consequently, the analysis and prediction of future values and trends of the financial markets have got more attention, and due to large applications in different business transactions, stock market prediction has become a critical topic of research. In this paper, our earlier presented particle swarm optimization with center of mass technique (PSOCoM is applied to the task of training an adaptive linear combiner to form a new stock market prediction model. This prediction model is used with some common indicators to maximize the return and minimize the risk for the stock market. The experimental results show that the proposed technique is superior than the other PSO based models according to the prediction accuracy.

  17. Assessing benefits and costs of commercial banana production in the Philippines

    OpenAIRE

    Calderon, R.; Rola, Agnes C.

    2003-01-01

    The Philippine banana industry is currently one of the top agricultural export earners. The increasing demand worldwide has resulted in greater expansion of area planted to banana, including those in environmentally critical places. Current high chemical input technologies used in banana production have been documented to have significant environmental and public health costs. In this paper, we assess the social costs and private benefits of banana production by commercial growers. We used pr...

  18. The influence of gamma irradiation on shelf-life extension of banana

    International Nuclear Information System (INIS)

    Effect of various doses of gamma radiation on shelf-life extension of Hom Tong banana stored at 170C, 200C, and 230C was described. Irradiated banana stored at 200C and 230C did not show any retardation in ripening. Doses from 20-40 Krad appeared to delay ripening of the banana stored at 170C for 3-5 days. No significant difference in weight losses between irradiated and non-irradiated banana was detected during storage

  19. Continous application of bioorganic fertilizer induced resilient culturable bacteria community associated with banana Fusarium wilt suppression

    OpenAIRE

    Lin Fu; Yunze Ruan; Chengyuan Tao; Rong Li; Qirong Shen

    2016-01-01

    Fusarium wilt of banana always drives farmers to find new land for banana cultivation due to the comeback of the disease after a few cropping years. A novel idea for solving this problem is the continuous application of bioorganic fertilizer (BIO), which should be practiced from the beginning of banana planting. In this study, BIO was applied in newly reclaimed fields to pre-control banana Fusarium wilt and the culturable rhizobacteria community were evaluated using Biolog Ecoplates and cultu...

  20. Chaos Time Series Prediction Based on Membrane Optimization Algorithms

    Directory of Open Access Journals (Sweden)

    Meng Li

    2015-01-01

    Full Text Available This paper puts forward a prediction model based on membrane computing optimization algorithm for chaos time series; the model optimizes simultaneously the parameters of phase space reconstruction (τ,m and least squares support vector machine (LS-SVM (γ,σ by using membrane computing optimization algorithm. It is an important basis for spectrum management to predict accurately the change trend of parameters in the electromagnetic environment, which can help decision makers to adopt an optimal action. Then, the model presented in this paper is used to forecast band occupancy rate of frequency modulation (FM broadcasting band and interphone band. To show the applicability and superiority of the proposed model, this paper will compare the forecast model presented in it with conventional similar models. The experimental results show that whether single-step prediction or multistep prediction, the proposed model performs best based on three error measures, namely, normalized mean square error (NMSE, root mean square error (RMSE, and mean absolute percentage error (MAPE.

  1. Predicting online ratings based on the opinion spreading process

    Science.gov (United States)

    He, Xing-Sheng; Zhou, Ming-Yang; Zhuo, Zhao; Fu, Zhong-Qian; Liu, Jian-Guo

    2015-10-01

    Predicting users' online ratings is always a challenge issue and has drawn lots of attention. In this paper, we present a rating prediction method by combining the user opinion spreading process with the collaborative filtering algorithm, where user similarity is defined by measuring the amount of opinion a user transfers to another based on the primitive user-item rating matrix. The proposed method could produce a more precise rating prediction for each unrated user-item pair. In addition, we introduce a tunable parameter λ to regulate the preferential diffusion relevant to the degree of both opinion sender and receiver. The numerical results for Movielens and Netflix data sets show that this algorithm has a better accuracy than the standard user-based collaborative filtering algorithm using Cosine and Pearson correlation without increasing computational complexity. By tuning λ, our method could further boost the prediction accuracy when using Mean Absolute Error (MAE) and Root Mean Squared Error (RMSE) as measurements. In the optimal cases, on Movielens and Netflix data sets, the corresponding algorithmic accuracy (MAE and RMSE) are improved 11.26% and 8.84%, 13.49% and 10.52% compared to the item average method, respectively.

  2. STUDIES ON VASCULAR INFECTION OF FUSARIUM OXYSPORUM F. SP. CUBENSE RACE 4 IN BANANA BY FIELD SURVEY AND GREEN FLUORESCENT PROTEIN REPORTER

    Directory of Open Access Journals (Sweden)

    Bo Liu

    2013-04-01

    Full Text Available Fusarium wilt of banana (Musa spp. caused by Fusarium oxysporum f. sp. cubense (Foc is one of the most serious banana fungal diseases in the world. Understanding the infection process of Foc is important for development of effective ways in disease control. In order to follow infection and colonization of this pathogen from root to rhizome and pseudostem tissues of banana, a highly pathogenic strain FJAT-3076 of Foc race 4 (Foc4 was transformed with gene encoding green fluorescent protein (GFP and the fungus carrying gfp (FJAT-3076-GFP was used to inoculate banana plants (Cavendish cv. B.F.. After inoculation for 3 to 10 d, it was observed that the conidia and their germ-tubes had penetrated into epidermis of young roots. The hyphae were found inside the root xylem 10 d after inoculation in the rhizome and pseudostem xylem after inoculation for 17 d. All plants infected by Foc died in 24 d after inoculation. It was also observed that Foc had spread all over the xylem and part of hyphae reached the pseudostem surface. Hyphal population was found the highest in the pseudostem, lower in root and least in rhizome. Field survey confirmed that Foc4 were mostly present in the base of pseudostem and less in the rhizome. Thus, effective prevention of the Foc hyphae movement from the rhizome up to the pseudostem might delay or control banana wilt disease.

  3. Support vector machine-based multi-model predictive control

    Institute of Scientific and Technical Information of China (English)

    Zhejing BA; Youxian SUN

    2008-01-01

    In this paper,a support vector machine-based multi-model predictive control is proposed,in which SVM classification combines well with SVM regression.At first,each working environment is modeled by SVM regression and the support vector machine network-based model predictive control(SVMN-MPC)algorithm corresponding to each environment is developed,and then a multi-class SVM model is established to recognize multiple operating conditions.As for control,the current environment is identified by the multi-class SVM model and then the corresponding SVMN.MPCcontroller is activated at each sampling instant.The proposed modeling,switching and controller design is demonstrated in simulation results.

  4. Stabilisation of difference equations with noisy prediction-based control

    Science.gov (United States)

    Braverman, E.; Kelly, C.; Rodkina, A.

    2016-07-01

    We consider the influence of stochastic perturbations on stability of a unique positive equilibrium of a difference equation subject to prediction-based control. These perturbations may be multiplicative We begin by relaxing the control parameter in the deterministic equation, and deriving a range of values for the parameter over which all solutions eventually enter an invariant interval. Then, by allowing the variation to be stochastic, we derive sufficient conditions (less restrictive than known ones for the unperturbed equation) under which the positive equilibrium will be globally a.s. asymptotically stable: i.e. the presence of noise improves the known effectiveness of prediction-based control. Finally, we show that systemic noise has a "blurring" effect on the positive equilibrium, which can be made arbitrarily small by controlling the noise intensity. Numerical examples illustrate our results.

  5. In silico network topology-based prediction of gene essentiality

    CERN Document Server

    da Silva, Joao Paulo Muller; Mombach, Jose Carlos Merino; Vieira, Renata; da Silva, Jose Guliherme Camargo; Lemke, Ney; Sinigaglia, Marialva

    2007-01-01

    The identification of genes essential for survival is important for the understanding of the minimal requirements for cellular life and for drug design. As experimental studies with the purpose of building a catalog of essential genes for a given organism are time-consuming and laborious, a computational approach which could predict gene essentiality with high accuracy would be of great value. We present here a novel computational approach, called NTPGE (Network Topology-based Prediction of Gene Essentiality), that relies on network topology features of a gene to estimate its essentiality. The first step of NTPGE is to construct the integrated molecular network for a given organism comprising protein physical, metabolic and transcriptional regulation interactions. The second step consists in training a decision tree-based machine learning algorithm on known essential and non-essential genes of the organism of interest, considering as learning attributes the network topology information for each of these genes...

  6. Predictive Potential Field-Based Collision Avoidance for Multicopters

    Science.gov (United States)

    Nieuwenhuisen, M.; Schadler, M.; Behnke, S.

    2013-08-01

    Reliable obstacle avoidance is a key to navigating with UAVs in the close vicinity of static and dynamic obstacles. Wheel-based mobile robots are often equipped with 2D or 3D laser range finders that cover the 2D workspace sufficiently accurate and at a high rate. Micro UAV platforms operate in a 3D environment, but the restricted payload prohibits the use of fast state-of-the-art 3D sensors. Thus, perception of small obstacles is often only possible in the vicinity of the UAV and a fast collision avoidance system is necessary. We propose a reactive collision avoidance system based on artificial potential fields, that takes the special dynamics of UAVs into account by predicting the influence of obstacles on the estimated trajectory in the near future using a learned motion model. Experimental evaluation shows that the prediction leads to smoother trajectories and allows to navigate collision-free through passageways.

  7. 78 FR 8957 - Importation of Fresh Bananas From the Philippines into the Continental United States

    Science.gov (United States)

    2013-02-07

    ... establish low- prevalence places of production, harvesting only of hard green bananas, and inspection for.... Commercial production of bananas in the United States takes place in Hawaii, where most if not all of the... the place of production to remain eligible to export bananas to the United States. The NPPO of...

  8. Evaluation of Information and Communication Technology Utilization by Small Holder Banana Farmers in Gatanga District, Kenya

    Science.gov (United States)

    Mwombe, Simon O. L.; Mugivane, Fred I.; Adolwa, Ivan S.; Nderitu, John H.

    2014-01-01

    Purpose: The study was carried out to identify information communication technologies (ICTs) used in production and marketing of bananas, to determine factors influencing intensity of use of ICT tools and to assess whether use of ICT has a significant influence on adoption of tissue culture bananas by small-scale banana farmers in Gatanga…

  9. 77 FR 22510 - Importation of Fresh Bananas From the Philippines Into the Continental United States

    Science.gov (United States)

    2012-04-16

    ... establish low-prevalence places of production; Covering bananas with pesticide bags during the growing... require bananas to be grown at places of production that are registered with the NPPO of the Philippines... place of production to remain eligible to export bananas to the United States. The NPPO of...

  10. Study of Banana Dehydration Using Sequential Infrared Radiation and Freeze-Drying

    Science.gov (United States)

    The drying and quality characteristics of banana slices processed with a sequential infrared radiation and freeze-drying (SIRFD) method were investigated. To study the drying characteristics of bananas during the infrared (IR) and hot air predehydration, Cavendish bananas slices with 5 mm thickness...

  11. Mobility Prediction Based Neighborhood Discovery for Mobile Ad Hoc Networks

    OpenAIRE

    Li, Xu; Mitton, Nathalie; Simplot-Ryl, David

    2010-01-01

    Hello protocol is the basic technique for neighborhood discovery in wireless ad hoc networks. It requires nodes to claim their existence/aliveness by periodic `hello' messages. Central to any hello protocol is the determination of `hello' message transmission rate. No fixed optimal rate exists in the presence of node mobility. The rate should in fact adapt to it, high for high mobility and low for low mobility. In this paper, we propose a novel mobility prediction based hello protocol, named ...

  12. Prediction Research of Red Tide Based on Improved FCM

    OpenAIRE

    Xiaomei Hu; Dong Wang; Hewei Qu; Xinran Shi

    2016-01-01

    Red tides are caused by the combination effects of many marine elements. The complexity of the marine ecosystem makes it hard to find the relationship between marine elements and red tides. The algorithm of fuzzy c-means (FCM) can get clear classification of things and expresses the fuzzy state among different things. Therefore, a prediction algorithm of red tide based on improved FCM is proposed. In order to overcome the defect of FCM which is overdependent on the initial cluster centers and...

  13. Seminal Quality Prediction Using Clustering-Based Decision Forests

    Directory of Open Access Journals (Sweden)

    Hong Wang

    2014-08-01

    Full Text Available Prediction of seminal quality with statistical learning tools is an emerging methodology in decision support systems in biomedical engineering and is very useful in early diagnosis of seminal patients and selection of semen donors candidates. However, as is common in medical diagnosis, seminal quality prediction faces the class imbalance problem. In this paper, we propose a novel supervised ensemble learning approach, namely Clustering-Based Decision Forests, to tackle unbalanced class learning problem in seminal quality prediction. Experiment results on real fertility diagnosis dataset have shown that Clustering-Based Decision Forests outperforms decision tree, Support Vector Machines, random forests, multilayer perceptron neural networks and logistic regression by a noticeable margin. Clustering-Based Decision Forests can also be used to evaluate variables’ importance and the top five important factors that may affect semen concentration obtained in this study are age, serious trauma, sitting time, the season when the semen sample is produced, and high fevers in the last year. The findings could be helpful in explaining seminal concentration problems in infertile males or pre-screening semen donor candidates.

  14. Production of Banana Fiber Yarns for Technical Textile Reinforced Composites

    Directory of Open Access Journals (Sweden)

    Zaida Ortega

    2016-05-01

    Full Text Available Natural fibers have been used as an alternative to synthetic ones for their greener character; banana fibers have the advantage of coming from an agricultural residue. Fibers have been extracted by mechanical means from banana tree pseudostems, as a strategy to valorize banana crops residues. To increase the mechanical properties of the composite, technical textiles can be used as reinforcement, instead of short fibers. To do so, fibers must be spun and woven. The aim of this paper is to show the viability of using banana fibers to obtain a yarn suitable to be woven, after an enzymatic treatment, which is more environmentally friendly. Extracted long fibers are cut to 50 mm length and then immersed into an enzymatic bath for their refining. Conditions of enzymatic treatment have been optimized to produce a textile grade of banana fibers, which have then been characterized. The optimum treating conditions were found with the use of Biopectinase K (100% related to fiber weight at 45 °C, pH 4.5 for 6 h, with bath renewal after three hours. The first spinning trials show that these fibers are suitable to be used for the production of yarns. The next step is the weaving process to obtain a technical fabric for composites production.

  15. Production of bioethanol using agricultural waste: banana pseudo stem

    Directory of Open Access Journals (Sweden)

    Snehal Ingale

    2014-09-01

    Full Text Available India is amongst the largest banana (Musa acuminata producing countries and thus banana pseudo stem is commonly available agricultural waste to be used as lignocellulosic substrate. Present study focuses on exploitation of banana pseudo stem as a source for bioethanol production from the sugars released due to different chemical and biological pretreatments. Two fungal strains Aspergillus ellipticus and Aspergillus fumigatus reported to be producing cellulolytic enzymes on sugarcane bagasse were used under co-culture fermentation on banana pseudo stem to degrade holocellulose and facilitate maximum release of reducing sugars. The hydrolysate obtained after alkali and microbial treatments was fermented by Saccharomyces cerevisiae NCIM 3570 to produce ethanol. Fermentation of cellulosic hydrolysate (4.1 g% gave maximum ethanol (17.1 g/L with yield (84% and productivity (0.024 g%/h after 72 h. Some critical aspects of fungal pretreatment for saccharification of cellulosic substrate using A. ellipticus and A. fumigatus for ethanol production by S. cerevisiae NCIM 3570 have been explored in this study. It was observed that pretreated banana pseudo stem can be economically utilized as a cheaper substrate for ethanol production.

  16. Production of bioethanol using agricultural waste: banana pseudo stem.

    Science.gov (United States)

    Ingale, Snehal; Joshi, Sanket J; Gupte, Akshaya

    2014-01-01

    India is amongst the largest banana (Musa acuminata) producing countries and thus banana pseudo stem is commonly available agricultural waste to be used as lignocellulosic substrate. Present study focuses on exploitation of banana pseudo stem as a source for bioethanol production from the sugars released due to different chemical and biological pretreatments. Two fungal strains Aspergillus ellipticus and Aspergillus fumigatus reported to be producing cellulolytic enzymes on sugarcane bagasse were used under co-culture fermentation on banana pseudo stem to degrade holocellulose and facilitate maximum release of reducing sugars. The hydrolysate obtained after alkali and microbial treatments was fermented by Saccharomyces cerevisiae NCIM 3570 to produce ethanol. Fermentation of cellulosic hydrolysate (4.1 g%) gave maximum ethanol (17.1 g/L) with yield (84%) and productivity (0.024 g%/h) after 72 h. Some critical aspects of fungal pretreatment for saccharification of cellulosic substrate using A. ellipticus and A. fumigatus for ethanol production by S. cerevisiae NCIM 3570 have been explored in this study. It was observed that pretreated banana pseudo stem can be economically utilized as a cheaper substrate for ethanol production.

  17. Ethanol production of banana shell and cassava starch

    International Nuclear Information System (INIS)

    In this work the acid hydrolysis of the starch was evaluated in cassava and the cellulose shell banana and its later fermentation to ethanol, the means of fermentation were adjusted for the microorganisms saccharomyces cerevisiae nrrl y-2034 and zymomonas mobilis cp4. The banana shell has been characterized, which possesses a content of starch, cellulose and hemicelluloses that represent more than 80% of the shell deserve the study of this as source of carbon. The acid hydrolysis of the banana shell yield 20g/l reducing sugar was obtained as maximum concentration. For the cassava with 170 g/l of starch to ph 0.8 in 5 hours complete conversion is achieved to you reducing sugars and any inhibitory effect is not noticed on the part of the cultivations carried out with banana shell and cassava by the cyanide presence in the cassava and for the formation of toxic compounds in the acid hydrolysis the cellulose in banana shell. For the fermentation carried out with saccharomyces cerevisiae a concentration of ethanol of 7.92± 0.31% it is achieved and a considerable production of ethanol is not appreciated (smaller than 0.1 g/l) for none of the means fermented with zymomonas mobilis

  18. Neural Network Based Model for Predicting Housing Market Performance

    Institute of Scientific and Technical Information of China (English)

    Ahmed Khalafallah

    2008-01-01

    The United States real estate market is currently facing its worst hit in two decades due to the slowdown of housing sales. The most affected by this decline are real estate investors and home develop-ers who are currently struggling to break-even financially on their investments. For these investors, it is of utmost importance to evaluate the current status of the market and predict its performance over the short-term in order to make appropriate financial decisions. This paper presents the development of artificial neu-ral network based models to support real estate investors and home developers in this critical task. The pa-per describes the decision variables, design methodology, and the implementation of these models. The models utilize historical market performance data sets to train the artificial neural networks in order to pre-dict unforeseen future performances. An application example is analyzed to demonstrate the model capabili-ties in analyzing and predicting the market performance. The model testing and validation showed that the error in prediction is in the range between -2% and +2%.

  19. Reflectance Prediction Modelling for Residual-Based Hyperspectral Image Coding

    Science.gov (United States)

    Xiao, Rui; Gao, Junbin; Bossomaier, Terry

    2016-01-01

    A Hyperspectral (HS) image provides observational powers beyond human vision capability but represents more than 100 times the data compared to a traditional image. To transmit and store the huge volume of an HS image, we argue that a fundamental shift is required from the existing “original pixel intensity”-based coding approaches using traditional image coders (e.g., JPEG2000) to the “residual”-based approaches using a video coder for better compression performance. A modified video coder is required to exploit spatial-spectral redundancy using pixel-level reflectance modelling due to the different characteristics of HS images in their spectral and shape domain of panchromatic imagery compared to traditional videos. In this paper a novel coding framework using Reflectance Prediction Modelling (RPM) in the latest video coding standard High Efficiency Video Coding (HEVC) for HS images is proposed. An HS image presents a wealth of data where every pixel is considered a vector for different spectral bands. By quantitative comparison and analysis of pixel vector distribution along spectral bands, we conclude that modelling can predict the distribution and correlation of the pixel vectors for different bands. To exploit distribution of the known pixel vector, we estimate a predicted current spectral band from the previous bands using Gaussian mixture-based modelling. The predicted band is used as the additional reference band together with the immediate previous band when we apply the HEVC. Every spectral band of an HS image is treated like it is an individual frame of a video. In this paper, we compare the proposed method with mainstream encoders. The experimental results are fully justified by three types of HS dataset with different wavelength ranges. The proposed method outperforms the existing mainstream HS encoders in terms of rate-distortion performance of HS image compression. PMID:27695102

  20. First report offusarium oxysporumf. sp.cubensetropical race 4 causing panama disease in cavendish bananas in Pakistan and Lebanon

    NARCIS (Netherlands)

    Ordoñez, N.; García-Bastidas, F.; Laghari, H.B.; Akkary, M.Y.; Harfouche, E.N.; Awar, al B.N.; Kema, G.H.J.

    2016-01-01

    Panama disease of banana, caused byFusarium oxysporumf. sp.cubense(Foc), poses a great risk to global banana production. Tropical race 4 (TR4) of Foc, which affects Cavendish bananas as well as many other banana cultivars (Ploetz 2006), was confirmed for the first time outside Southeast Asia in Jord

  1. Banana-shaped 1,2,4-oxadiazoles

    Indian Academy of Sciences (India)

    S I Torgova; T A Geivandova; O Francescangeli; A Strigazzi

    2003-08-01

    3,5-Disubstituted 1,2,4-oxadiazoles are a new type of liquid crystalline (LC) compounds with asymmetrical five-membered heterocycle as a central unit. They have a bent shape and are very convenient model-compounds for studying the dependence of the LC properties on the molecular design. We have also synthesized and investigated ‘banana-shaped’ 1,2,4-oxadiazoles using the ester groups as the linkage units. The new compounds exhibit spontaneous polarization in the smectic phase, even if there is no chiral group in the molecules. Preliminary experimental data suggest the presence of spontaneous polarization in the nematic phase as well. In order to study the structural properties of the LC phases, X-ray diffraction (XRD) measurements on powder samples have been carried out. Based on the XRD data, a model of the structural arrangement of the bent molecules in the smectic phase is provided, which accounts for the macroscopic spontaneous polarization as well as the ferroelectric switching behavior.

  2. Improvement of banana through biotechnology and mutation breeding

    International Nuclear Information System (INIS)

    Protocols were standardized for in vitro propagation of several elite and diverse banana accessions using shoot tip explants. Tissue culture raised plants were field planted at multiple locations. Studies were undertaken for the induction of mutations using multiple shoot cultures of six selected cultivars, Shreemanti (AAA), Basrai (AAA), Lal Kela (AAA), Rasthali (AAB), Karibale Monthan (ABB) and a wild diploid (BB). These shoot cultures were irradiated at different doses of gamma rays (0-100 Gy) and subcultured thrice (up to M1V3) to separate shimeras, followed by induction of rooting (M1V4). In general, the rate of multiplication had a negative association with the dose of gamma rays. Enhanced multiplication of shoots was noticed at lower doses. The proliferation of shoots was arrested beyond 50 Gy and a dose of 70 Gy was completely lethal for all the genotypes studied. The rooted plantlets were hardened in the green house and in the early stages of field growth, a few cholorophyll and morphological variants have been noticed. Preliminary studies have been made with DNA samples of different varieties and variants for DNA quality and restriction digestion. Studies are underway to characterize these using PCR based methods. (author)

  3. Flame resistant cellulosic substrate using banana pseudostem sap

    Directory of Open Access Journals (Sweden)

    Basak S.

    2015-03-01

    Full Text Available Flame retardancy was imparted in cellulosic cotton textile using banana pseudostem sap (BPS, an eco-friendly natural product. The extracted sap was made alkaline and applied in pre-mordanted bleached and mercerized cotton fabrics. Flame retardant properties of both the control and the treated fabrics were analysed in terms of limiting oxygen index (LOI, horizontal and vertical flammability. Fabrics treated with the non-diluted BPS were found to have good flame retardant property with LOI of 30 compared to the control fabric with LOI of 18, i.e., an increase of 1.6 times. In the vertical flammability test, the BPS treated fabric showed flame for a few seconds and then, got extinguished. In the horizontal flammability test, the treated fabric showed no flame, but was burning only with an afterglow with a propagation rate of 7.5 mm/min, which was almost 10 times lower than that noted with the control fabric. The thermal degradation and the pyrolysis of the fabric samples were studied using a thermogravimetric analysis (TGA, and the chemical composition by FTIR, SEM and EDX, besides the pure BPS being characterized by EDX and mass spectroscopy. The fabric after the treatment was found to produce stable natural khaki colour, and there was no significant degradation in mechanical strengths. Based on the results, the mechanism of imparting flame retardancy to cellulosic textile and the formation of natural colour on it using the proposed BPS treatment have been postulated.

  4. Identification and characterization of a distinct banana bunchy top virus isolate of Pacific-Indian Oceans group from North-East India.

    Science.gov (United States)

    Banerjee, Amrita; Roy, Somnath; Behere, Ganesh T; Roy, Subhra Saikat; Dutta, Sudip Kumar; Ngachan, S V

    2014-04-01

    Banana bunch top virus (BBTV) is considered to be a serious threat to banana production. A new isolate of the virus (BBTV-Umiam) was identified and characterized from local banana mats growing in mid-hills of Meghalaya in North-East India. The complete nucleotide sequence analysis revealed the presence of six full-length ssDNA components (DNA R, DNA U3, DNA S, DNA M, DNA C and DNA N) sharing major common region (CR-M) and a stem-loop common region (CR-SL). BBTV-Umiam showed a unique deletion of 20 nucleotides in the intergenic region of DNA R, the absence of predicted open reading frame (ORF) in DNA U3 and probability for a small ORF in DNA U3 expecting functional evidence at transcriptional level. Phylogenetic analysis based on 88 complete nucleotide sequence of BBTV DNA R available in GenBank generated two broad clusters of Pacific-Indian Oceans (PIO) and South-East Asian (SEA) groups including BBTV-Umiam within PIO cluster. However, BBTV-Umiam was identified as the most distinct member of the PIO group with 100% bootstrap support. This was further supported by the phylogenetic grouping of each genomic component of BBTV-Umiam at the distant end of PIO group during clustering of 21 complete BBTV sequences. BBTV-Umiam shared relatively less nucleotide identity with PIO group for each genomic component (85.0-95.4%) and corresponding ORF (93.8-97.5%) than that of earlier PIO isolates (91.5-99.6% and 96.0-99.3%, respectively). Recombination analysis revealed two intra-component and five inter-component recombination events in BBTV-Umiam, but none of them was unique. Moreover, the isolate was identified as major parental sequence for intra-component recombination event spanning the replication-associated protein encoding region in Tongan BBTV DNA R. The current study indicated differential evolution of BBTV in North-East India (Meghalaya). The natural occurrence of hybrids of Musa balbisiana and M. acuminata in this geographically isolated region could be the

  5. Predicting the effective thermal conductivity of carbon nanotube based nanofluids

    Energy Technology Data Exchange (ETDEWEB)

    Sastry, N N Venkata; Bhunia, Avijit; Sundararajan, T; Das, Sarit K [Department of Mechanical Engineering, Indian Institute of Technology, Madras, Chennai 600 036 (India)

    2008-02-06

    Adding a small volume fraction of carbon nanotubes (CNTs) to a liquid enhances the thermal conductivity significantly. Recent experimental findings report an anomalously wide range of enhancement values that continue to perplex the research community and remain unexplained. In this paper we present a theoretical model based on three-dimensional CNT chain formation (percolation) in the base liquid and the corresponding thermal resistance network. The model considers random CNT orientation and CNT-CNT interaction forming the percolating chain. Predictions are in good agreement with almost all available experimental data. Results show that the enhancement critically depends on the CNT geometry (length), volume fraction, thermal conductivity of the base liquid and the nanofluid (CNT-liquid suspension) preparation technique. Based on the physical mechanism of heat conduction in the nanofluid, we introduce a new dimensionless parameter that alone characterizes the nanofluid thermal conductivity with reasonable accuracy ({approx} {+-} 5%)

  6. Partitioning of minimotifs based on function with improved prediction accuracy.

    Directory of Open Access Journals (Sweden)

    Sanguthevar Rajasekaran

    Full Text Available BACKGROUND: Minimotifs are short contiguous peptide sequences in proteins that are known to have a function in at least one other protein. One of the principal limitations in minimotif prediction is that false positives limit the usefulness of this approach. As a step toward resolving this problem we have built, implemented, and tested a new data-driven algorithm that reduces false-positive predictions. METHODOLOGY/PRINCIPAL FINDINGS: Certain domains and minimotifs are known to be strongly associated with a known cellular process or molecular function. Therefore, we hypothesized that by restricting minimotif predictions to those where the minimotif containing protein and target protein have a related cellular or molecular function, the prediction is more likely to be accurate. This filter was implemented in Minimotif Miner using function annotations from the Gene Ontology. We have also combined two filters that are based on entirely different principles and this combined filter has a better predictability than the individual components. CONCLUSIONS/SIGNIFICANCE: Testing these functional filters on known and random minimotifs has revealed that they are capable of separating true motifs from false positives. In particular, for the cellular function filter, the percentage of known minimotifs that are not removed by the filter is approximately 4.6 times that of random minimotifs. For the molecular function filter this ratio is approximately 2.9. These results, together with the comparison with the published frequency score filter, strongly suggest that the new filters differentiate true motifs from random background with good confidence. A combination of the function filters and the frequency score filter performs better than these two individual filters.

  7. Hyperspectral imaging system for disease scanning on banana plants

    Science.gov (United States)

    Ochoa, Daniel; Cevallos, Juan; Vargas, German; Criollo, Ronald; Romero, Dennis; Castro, Rodrigo; Bayona, Oswaldo

    2016-05-01

    Black Sigatoka (BS) is a banana plant disease caused by the fungus Mycosphaerella fijiensis. BS symptoms can be observed at late infection stages. By that time, BS has probably spread to other plants. In this paper, we present our current work on building an hyper-spectral (HS) imaging system aimed at in-vivo detection of BS pre-symptomatic responses in banana leaves. The proposed imaging system comprises a motorized stage, a high-sensitivity VIS-NIR camera and an optical spectrograph. To capture images of the banana leaf, the stage's speed and camera's frame rate must be computed to reduce motion blur and to obtain the same resolution along both spatial dimensions of the resulting HS cube. Our continuous leaf scanning approach allows imaging leaves of arbitrary length with minimum frame loss. Once the images are captured, a denoising step is performed to improve HS image quality and spectral profile extraction.

  8. Wild Banana Seed Phytobezoar Rectal Impaction Causing Intestinal Obstruction.

    Science.gov (United States)

    Chai, Feng Yih; Heng, Sophia Si Ling; Asilah, Siti Mohd Desa; Adila, Irene Nur Ibrahim; Tan, Yew Eng; Chong, Hock Chin

    2016-08-01

    Wild banana (Musa acuminata subsp. microcarpa) seed phytobezoar rectal impaction in adult is a rare entity. Here, we report a 75-year-old male with dementia who presented with lower abdominal pain, per-rectal bleeding and overflow faecal incontinence. Our investigation discovered a large wild banana seed phytobezoar impacted in the rectum causing intestinal obstruction, stercoral ulcer and faecal overflow incontinence. In this article, we discuss the patient's clinical findings, imaging and management. The culprit plant was identified and depicted. This may be the first report of its kind. Public consumption of these wild bananas should be curtailed. It is hoped that this report would increase the awareness of such condition and its identification. PMID:27574355

  9. LONDON Banana RepubliC登陆欧洲

    Institute of Scientific and Technical Information of China (English)

    丁燕燕

    2008-01-01

    <正>美国的casual n’chic品牌Banana Republic终于登陆欧洲。近日第一家欧洲分店在伦敦的Regent Street开幕,占地17,000平方呎的三层高旗舰店将成为Banana Republic进军欧洲市场的试点。这一次的扩张,对GAP来说,也是一个很大的考验,因为此时正值美、英两国经济不景气。究竟,Banana Republic能否在英国的同类品牌中脱颖而出,成为下一个

  10. Link prediction based on local information considering preferential attachment

    Science.gov (United States)

    Zeng, Shan

    2016-02-01

    Link prediction in complex networks has attracted much attention in many fields. In this paper, a common neighbors plus preferential attachment index is presented to estimate the likelihood of the existence of a link between two nodes based on local information of the nearest neighbors. Numerical experiments on six real networks demonstrated the high effectiveness and efficiency of the new index compared with five well-known and widely accepted indices: the common neighbors, resource allocation index, preferential attachment index, local path index and Katz index. The new index provides competitively accurate prediction with local path index and Katz index while has less computational complexity and is more accurate than the other two indices.

  11. Human Posture and Movement Prediction based on Musculoskeletal Modeling

    DEFF Research Database (Denmark)

    Farahani, Saeed Davoudabadi

    2014-01-01

    Abstract This thesis explores an optimization-based formulation, so-called inverse-inverse dynamics, for the prediction of human posture and motion dynamics performing various tasks. It is explained how this technique enables us to predict natural kinematic and kinetic patterns for human posture...... and motion using AnyBody Modeling System (AMS). AMS uses inverse dynamics to analyze musculoskeletal systems and is, therefore, limited by its dependency on input kinematics. We propose to alleviate this dependency by assuming that voluntary postures and movement strategies in humans are guided by a desire...... investigated, a scaling to the mean height and body mass may be sufficient, while other questions require subject-specific models. The movement is parameterized by means of time functions controlling selected degrees-of-freedom (DOF). Subsequently, the parameters of these functions, usually referred...

  12. Yarn Properties Prediction Based on Machine Learning Method

    Institute of Scientific and Technical Information of China (English)

    YANG Jian-guo; L(U) Zhi-jun; LI Bei-zhi

    2007-01-01

    Although many works have been done to constructprediction models on yarn processing quality, the relationbetween spinning variables and yam properties has not beenestablished conclusively so far. Support vector machines(SVMs), based on statistical learning theory, are gainingapplications in the areas of machine learning and patternrecognition because of the high accuracy and goodgeneralization capability. This study briefly introduces theSVM regression algorithms, and presents the SVM basedsystem architecture for predicting yam properties. Model.selection which amounts to search in hyper-parameter spaceis performed for study of suitable parameters with grid-research method. Experimental results have been comparedwith those of artificial neural network(ANN) models. Theinvestigation indicates that in the small data sets and real-life production, SVM models are capable of remaining thestability of predictive accuracy, and more suitable for noisyand dynamic spinning process.

  13. Adaptive quality prediction of batch processes based on PLS model

    Institute of Scientific and Technical Information of China (English)

    LI Chun-fu; ZHANG Jie; WANG Gui-zeng

    2006-01-01

    There are usually no on-line product quality measurements in batch and semi-batch processes,which make the process control task very difficult.In this paper,a model for predicting the end-product quality from the available on-line process variables at the early stage of a batch is developed using partial least squares (PLS)method.Furthermore,some available mid-course quality measurements are used to rectify the final prediction results.To deal with the problem that the process may change with time,recursive PLS (RPLS) algorithm is used to update the model based on the new batch data and the old model parameters after each batch.An application to a simulated batch MMA polymerization process demonstrates the effectiveness of the proposed method.

  14. Gamma radiation effects on the viscosity of green banana flour

    Energy Technology Data Exchange (ETDEWEB)

    Uehara, Vanessa B.; Inamura, Patricia Y.; Mastro, Nelida L. Del [Instituto de Pesquisas Energeticas e Nucleares (IPEN/CNEN-SP), Sao Paulo, SP (Brazil)], e-mail: vanessa.uehara@usp.br, e-mail: patyoko@yahoo.com, e-mail: nlmastro@ipen.br

    2009-07-01

    Banana (Musa sp) is a tropical fruits with great acceptability among consumers and produced in Brazil in a large scale. Bananas are not being as exploited as they could be in prepared food, and research could stimulate greater interest from industry. The viscosity characteristics and a product consistency can determine its acceptance by the consumer. Particularly the starch obtained from green banana had been studied from the nutritional point of view since the concept of Resistant Starch was introduced. Powder RS with high content of amylose was included in an approved food list with alleged functional properties in Brazilian legislation. Ionizing radiation can be used as a public health intervention measure for the control of food-borne diseases. Radiation is also a very convenient tool for polymer materials modification through degradation, grafting and crosslinking. In this work the influence of ionizing radiation on the rheological behavior of green banana pulp was investigated. Samples of green banana pulp flour were irradiated in a {sup 60}Co Gammacell 220 (AECL) with doses of 0 kGy,1 kGy, 3 kGy, 5 kGy and 10 kGy in glass recipients. After irradiation 3% and 5% aqueous dilution were prepared and viscosity measurements performed in a Brooksfield, model DVIII viscometer using spindle SC4-18 and SC4-31. There was a reduction of the initial viscosity of the samples as a consequence of radiation processing, being the reduction inversely proportional to the flour concentration. The polysaccharide content of the banana starch seems to be degraded by radiation in solid state as shown by the reduction of viscosity as a function of radiation dose. (author)

  15. Thermochemical characterization of banana leaves as a potential energy source

    International Nuclear Information System (INIS)

    Highlights: • The chemical composition of semi-dried banana leaves are similar to the other biomass. • The semi-dried leaves present high release of energy under inert and oxidant atmosphere. • The energy released on pyrolysis and combustion can be used to dry the wet banana leaves. • The thermochemical conversion processes can reduce the waste volume significantly. • The banana leaves have potential to use as biomass through combustion and pyrolysis process. - Abstract: Wet and semi-dried banana leaves were characterized through elemental and proximate analyses, lignocellulosic fraction and thermogravimetric analysis (TG/DTG), differential scanning calorimetry (DSC) and high heating value analysis to assess their use as biomass in generating energy through combustion; they were also assessed to determine the potential of obtaining value-added products through pyrolysis. The wet banana leaves had high moisture content of 74.7%. The semi-dried samples exhibited 8.3% moisture, 78.8% volatile solids, 43.5% carbon and a higher heating value of 19.8 MJ/kg. The nitrogen and sulfur contents in the banana leaves were very low. The semi-dried and wet leaves had hemicellulose and lignin contents close to other biomass fuels, and the semi-dried leaves had the lowest cellulose content, of 26.7%. The wet and semi-dried samples showed the same thermal events in oxidizing and inert atmospheres, but with distinctly different mass loss and energy release intensities. The chemical characteristics and the thermal behavior demonstrated by the semi-dried samples indicate their potential for use as biomass, with results similar to other agro-industrial wastes currently used

  16. Estimating Stochastic Volatility Models using Prediction-based Estimating Functions

    DEFF Research Database (Denmark)

    Lunde, Asger; Brix, Anne Floor

    In this paper prediction-based estimating functions (PBEFs), introduced in Sørensen (2000), are reviewed and PBEFs for the Heston (1993) stochastic volatility model are derived. The finite sample performance of the PBEF based estimator is investigated in a Monte Carlo study, and compared to the...... performance of the GMM estimator based on conditional moments of integrated volatility from Bollerslev and Zhou (2002). The case where the observed log-price process is contaminated by i.i.d. market microstructure (MMS) noise is also investigated. First, the impact of MMS noise on the parameter estimates from...... the two estimation methods without noise correction are studied. Second, a noise robust GMM estimator is constructed by approximating integrated volatility by a realized kernel instead of realized variance. The PBEFs are also recalculated in the noise setting, and the two estimation methods ability to...

  17. Optimization of process parameters for extrusion cooking of low amylose rice flour blended with seeded banana and carambola pomace for development of minerals and fiber rich breakfast cereal.

    Science.gov (United States)

    Borah, Anjan; Lata Mahanta, Charu; Kalita, Dipankar

    2016-01-01

    The low-amylose rice flour, seeded banana (Musa balbisiana, ABB) and carambola (Averrhoa carambola L.) pomace blends were extruded to prepare ready to eat breakfast cereal in a single-screw extruder. Response surface methodology using a central composite design was used to evaluate effect of independent variables, namely blend ratio (80:10:10 - 60:30:10 of low-amylose rice flour, seeded banana and carambola pomace), screw speed (200 - 400 rpm), barrel temperature (90 - 130 (°)C) and feed moisture content (9 - 21 g/100 g, wet basis) on product responses. Quadratic polynomial equations were also obtained by multiple regression analysis. The predicted models were adequate based on lack-of-fit test and coefficient of determination obtained. The feed moisture content had critical effect on all response variables. The compromised optimal conditions obtained by numerical integration for development of extrudates were: screw speed of 350 rpm, barrel temperature of 120 (°)C, feed moisture content of 12 g/100 g and 65:25:10 of blend ratio of feed. In the optimized condition low-amylose rice blend is found to have better physicochemical properties (water absorption index of 481.79 g/100 g; water solubility index of 44.13 g/100 g) and dietary fiber content of 21.35 g/100 g respectively. The developed breakfast cereal showed considerable amount of minerals (Mg and K) and overall acceptability was found to be 7.8.

  18. Differential characteristics in the chemical composition of bananas from Tenerife (Canary Islands) and Ecuador.

    Science.gov (United States)

    Forster, Markus Paul; Rodríguez Rodríguez, Elena; Díaz Romero, Carlos

    2002-12-18

    The contents of moisture, protein, ash, ascorbic acid, glucose, fructose, total sugars, and total and insoluble fiber were determined in cultivars of bananas (Gran Enana and Pequeña Enana) harvested in Tenerife and in bananas (Gran Enana) from Ecuador. The chemical compositions in the bananas from Tenerife and from Ecuador were clearly different. The cultivar did not influence the chemical composition, except for insoluble fiber content. Variations of the chemical composition were observed in the bananas from Tenerife according to cultivation method (greenhouse and outdoors), farming style (conventional and organic), and region of production (north and south). A highly significant (r = 0.995) correlation between glucose and fructose was observed. Correlations of ash and protein contents tend to separate the banana samples according to origin. A higher content of protein, ash, and ascorbic acid was observed as the length of the banana decreased. Applying factor analysis, the bananas from Ecuador were well separated from the bananas produced in Tenerife. An almost total differentiation (91.7%) between bananas from Tenerife and bananas from Ecuador was obtained by selecting protein, ash, and ascorbic acid content and applying stepwise discriminant analysis. By selecting the bananas Pequeña Enana and using discriminant analysis, a clear separation of the samples according to the region of production and farming style was observed.

  19. [Main bacterial groups in banana soil under rotated and continuous cropping].

    Science.gov (United States)

    Ouyang, Xian; Ruan, Xiao-Lei; Wu, Chao; Bai, Ting-Ting; Li, Hua-Ping

    2011-06-01

    Banana wilt is the main disease in banana production, while banana-leek rotation can effectively control the occurrence of the disease. In order to understand the variations of soil bacterial groups under banana-leek rotation and banana continuous cropping, soil samples under these two cropping systems were collected to extract crude DNA, and the bacterial 16S rDNA in V3 region was amplified by PCR. The PCR products were then separated by DGGE, and the main different bands were sequenced and compared with the records of NCBI to identify the germs. Under banana-leek rotation, soil bacterial diversity was richer, and the main bacterial groups were Bacteroidetes, Proteobacteria, Actinobacteria, Chloroflexi, and Acidobacteria; while under banana continuous cropping, the soil bacterial diversity was somewhat decreased, and the main bacterial groups were Firmicutes, Proteobacteria, Actinobacteria, and Chloroflexi.

  20. Banana production systems: identification of alternative systems for more sustainable production.

    Science.gov (United States)

    Bellamy, Angelina Sanderson

    2013-04-01

    Large-scale, monoculture production systems dependent on synthetic fertilizers and pesticides, increase yields, but are costly and have deleterious impacts on human health and the environment. This research investigates variations in banana production practices in Costa Rica, to identify alternative systems that combine high productivity and profitability, with reduced reliance on agrochemicals. Farm workers were observed during daily production activities; 39 banana producers and 8 extension workers/researchers were interviewed; and a review of field experiments conducted by the National Banana Corporation between 1997 and 2002 was made. Correspondence analysis showed that there is no structured variation in large-scale banana producers' practices, but two other banana production systems were identified: a small-scale organic system and a small-scale conventional coffee-banana intercropped system. Field-scale research may reveal ways that these practices can be scaled up to achieve a productive and profitable system producing high-quality export bananas with fewer or no pesticides.

  1. Chemical and physical characterization of Musa sepientum and Musa balbisiana fibers of banana tree

    International Nuclear Information System (INIS)

    This study aimed to characterize the fibers of cavendish and silver banana trunks (Musa sepientum and Musa balbisiana, respectively) concerning their density, lignin and moisture contents, and chemical structure by using the techniques of infrared spectroscopy and low field solid state nuclear magnetic resonance, NMR. From NMR analysis, it was possible to observe the morphological differences between cavendish and silver types of banana fibers. FTIR technique did not allow the observation of any important difference in the banana fibers spectra. The cavendish banana fiber showed higher moisture and lignin contents than the silver banana fiber The NMR technique showed that relaxation times for silver banana fiber were higher than those for cavendish banana fiber, which can be credited to the lower moisture content values found in the silver fibers. (author)

  2. 贸易全球化下的我国香蕉产业经营风险及其规避策略%Business Risk of Banana Industry and Its Avoidance Strategy in China in the Trade Internationalization Environment

    Institute of Scientific and Technical Information of China (English)

    张慧坚; 刘恩平; 刘海清

    2012-01-01

    With the deepening of trade internationalization,there are domestic and foreign markets and the industrial structure of different systems in the business of banana industry;the trade risk is developing in the business of banana industry.Based on analyzing main kinds and characteristics of banana industrial risk in current situation,the paper dissects risk causes of business risk of banana industry and its avoidance against different kinds of banana industrial risk.Then the paper put forward the strategy to enforce our banana industrial risk evading ability.%随着贸易全球化程度的加深,香蕉产业经营将出现国内国外2个市场和多种不同体制的产业结构,香蕉产业经营过程中存在着日益增大的经营风险。本文在分析当今形势下香蕉产业风险的主要类型及特点基础上,针对不同种类的香蕉产业风险,剖析香蕉产业经营风险存在原因及其规避的程度,提出增强我国香蕉产业风险规避能力的策略。

  3. Model Predictive Control-Based Fast Charging for Vehicular Batteries

    Directory of Open Access Journals (Sweden)

    Zhibin Song

    2011-08-01

    Full Text Available Battery fast charging is one of the most significant and difficult techniques affecting the commercialization of electric vehicles (EVs. In this paper, we propose a fast charge framework based on model predictive control, with the aim of simultaneously reducing the charge duration, which represents the out-of-service time of vehicles, and the increase in temperature, which represents safety and energy efficiency during the charge process. The RC model is employed to predict the future State of Charge (SOC. A single mode lumped-parameter thermal model and a neural network trained by real experimental data are also applied to predict the future temperature in simulations and experiments respectively. A genetic algorithm is then applied to find the best charge sequence under a specified fitness function, which consists of two objectives: minimizing the charging duration and minimizing the increase in temperature. Both simulation and experiment demonstrate that the Pareto front of the proposed method dominates that of the most popular constant current constant voltage (CCCV charge method.

  4. Time series prediction of mining subsidence based on a SVM

    Institute of Scientific and Technical Information of China (English)

    Li Peixian; Tan Zhixiang; Yah Lili; Deng Kazhong

    2011-01-01

    In order to study dynamic laws of surface movements over coal mines due to mining activities,a dynamic prediction model of surface movements was established,based on the theory of support vector machines (SVM) and times-series analysis.An engineering application was used to verify the correctness of the model.Measurements from observation stations were analyzed and processed to obtain equal-time interval surface movement data and subjected to tests of stationary,zero means and normality.Then the data were used to train the SVM model.A time series model was established to predict mining subsidence by rational choices of embedding dimensions and SVM parameters.MAPE and WIA were used asindicators to evaluate the accuracy of the model and for generalization performance.In the end,the model was used to predict future surface movements.Data from observation stations in Huaibei coal mining area were used as an example.The results show that the maximum absolute error of subsidence is 9 mm,the maximum relative error 1.5%.the maximum absolute error of displacement 7 mm and the maximum relative error 1.8%.The accuracy and reliability of the model meet the requirements of on-site engineering.The results of the study provide a new approach to investigate the dynamics of surface movements.

  5. Predicting activity approach based on new atoms similarity kernel function.

    Science.gov (United States)

    Abu El-Atta, Ahmed H; Moussa, M I; Hassanien, Aboul Ella

    2015-07-01

    Drug design is a high cost and long term process. To reduce time and costs for drugs discoveries, new techniques are needed. Chemoinformatics field implements the informational techniques and computer science like machine learning and graph theory to discover the chemical compounds properties, such as toxicity or biological activity. This is done through analyzing their molecular structure (molecular graph). To overcome this problem there is an increasing need for algorithms to analyze and classify graph data to predict the activity of molecules. Kernels methods provide a powerful framework which combines machine learning with graph theory techniques. These kernels methods have led to impressive performance results in many several chemoinformatics problems like biological activity prediction. This paper presents a new approach based on kernel functions to solve activity prediction problem for chemical compounds. First we encode all atoms depending on their neighbors then we use these codes to find a relationship between those atoms each other. Then we use relation between different atoms to find similarity between chemical compounds. The proposed approach was compared with many other classification methods and the results show competitive accuracy with these methods.

  6. QUALIDADE FÍSICO-QUÍMICA E SENSORIAL DE AGUARDENTES DE POLPA DE BANANA E BANANA INTEGRAL SUBMETIDAS À HIDRÓLISE ENZIMÁTICA

    OpenAIRE

    Mariana Borges de Lima da SILVA; José Benício Paes CHAVES; Viviane Gomes LELIS; Letícia Mendonça ALVARENGA; Zuim, Diana Regazzi; Silva, Paulo Henrique Alves da

    2009-01-01

    A banana é a fruta de maior consumo anual per capita no Brasil, atingindo todas as camadas da população. O presente trabalho teve como objetivo avaliar a hidrólise enzimática e comparar a qualidade físico-química e sensorial de aguardentes elaboradas com a polpa de banana e com a polpa e casca de banana (banana integral) Musa cavendishi, variedade prata. Foram realizadas análises de sólidos solúveis, açúcares redutores, amido e celulose para amostras de polpa de bana...

  7. The auxin response factor gene family in banana: genome-wide identification and expression analyses during development, ripening, and abiotic stress.

    Science.gov (United States)

    Hu, Wei; Zuo, Jiao; Hou, Xiaowan; Yan, Yan; Wei, Yunxie; Liu, Juhua; Li, Meiying; Xu, Biyu; Jin, Zhiqiang

    2015-01-01

    Auxin signaling regulates various auxin-responsive genes via two types of transcriptional regulators, Auxin Response Factors (ARF) and Aux/IAA. ARF transcription factors act as critical components of auxin signaling that play important roles in modulating various biological processes. However, limited information about this gene family in fruit crops is currently available. Herein, 47 ARF genes were identified in banana based on its genome sequence. Phylogenetic analysis of the ARFs from banana, rice, and Arabidopsis suggested that the ARFs could be divided into four subgroups, among which most ARFs from the banana showed a closer relationship with those from rice than those from Arabidopsis. Conserved motif analysis showed that all identified MaARFs had typical DNA-binding and ARF domains, but 12 members lacked the dimerization domain. Gene structure analysis showed that the number of exons in MaARF genes ranged from 5 to 21, suggesting large variation amongst banana ARF genes. The comprehensive expression profiles of MaARF genes yielded useful information about their involvement in diverse tissues, different stages of fruit development and ripening, and responses to abiotic stresses in different varieties. Interaction networks and co-expression assays indicated the strong transcriptional response of banana ARFs and ARF-mediated networks in early fruit development for different varieties. Our systematic analysis of MaARFs revealed robust tissue-specific, development-dependent, and abiotic stress-responsive candidate MaARF genes for further functional assays in planta. These findings could lead to potential applications in the genetic improvement of banana cultivars, and yield new insights into the complexity of the control of MaARF gene expression at the transcriptional level. Finally, they support the hypothesis that ARFs are a crucial component of the auxin signaling pathway, which regulates a wide range of physiological processes. PMID:26442055

  8. The auxin response factor gene family in banana: genome-wide identification and expression analyses during development, ripening, and abiotic stress

    Directory of Open Access Journals (Sweden)

    Wei eHu

    2015-09-01

    Full Text Available Auxin signaling regulates various auxin-responsive genes via two types of transcriptional regulators, Auxin Response Factors (ARF and Aux/IAA. ARF transcription factors act as critical components of auxin signaling that play important roles in modulating various biological processes. However, limited information about this gene family in fruit crops is currently available. Herein, 47 ARF genes were identified in banana based on its genome sequence. Phylogenetic analysis of the ARFs from banana, rice, and Arabidopsis suggested that the ARFs could be divided into four subgroups, among which most ARFs from the banana showed a closer relationship with those from rice than those from Arabidopsis. Conserved motif analysis showed that all identified MaARFs had typical DNA-binding and ARF domains, but 12 members lacked the dimerization domain. Gene structure analysis showed that the number of exons in MaARF genes ranged from 5 to 21, suggesting large variation amongst banana ARF genes. The comprehensive expression profiles of MaARF genes yielded useful information about their involvement in diverse tissues, different stages of fruit development and ripening, and responses to abiotic stresses in different varieties. Interaction networks and co-expression assays indicated the strong transcriptional response of banana ARFs and ARF-mediated networks in early fruit development for different varieties. Our systematic analysis of MaARFs revealed robust tissue-specific, development-dependent, and abiotic stress-responsive candidate MaARF genes for further functional assays in planta. These findings could lead to potential applications in the genetic improvement of banana cultivars, and yield new insights into the complexity of the control of MaARF gene expression at the transcriptional level. Finally, they support the hypothesis that ARFs are a crucial component of the auxin signaling pathway, which regulates a wide range of physiological processes.

  9. 海南香蕉产业风险及预警对策研究%Research on Risks and Forecasting Countermeasures of Hainan Banana Industry

    Institute of Scientific and Technical Information of China (English)

    刘燕群; 曾小红; 方佳

    2011-01-01

    在概述海南香蕉产业现状的基础上,分析了海南香蕉产业面临的风险,具体包括市场风险、自然灾害、信息风险和生产风险4个方面.为了促进海南香蕉产业持续协调、高速发展,提出了相应的对策:一是加强香蕉产业预警工作的组织领导;二是构建香蕉产业预警机制,具体包括搭建海南香蕉产业预警分级系统、构建香蕉产业信息检测与收集系统、建立信息分析与决策系统以及建设预警信息发布与共享系统4个方面;三是加强香蕉产业应急处置能力建设;四是进一步完善香蕉产业风险防范保障体系;五是加快香蕉标准化生产,提高市场竞争力;六是加快发展中介组织提高产业组织化程度;七是大力开展香蕉创新技术培训,提高香蕉产业科技水平.%Based on the overviews of the current conditions of Hainan banana industry, the research makes an analysis of the risks faced by Hainan banana industry. They are respectively marketing risks, natural risks, information risks and production risks. In order to promote a sustainable and rapid development of Hainan banana industry, Countermeasures are proposed in the research. The first is to strengthen the leading organization of forecasting mechanisms on banana industry. The second is to establish the forecasting mechanisms on banana industry, including four aspects. They are establishing the subordinate forecasting systems on Hainan banana industry; constructing information collecting and checking mechanisms of banana industry; establishing information analysis and decision - making systems and constructing information distribution and information sharing systems. The third is to promote the construction of urgency dealing abilities of banana industry. The fourth is to further perfect the risk - defending and protecting systems of banana industry in Hainan. The fifth is to accelerate the standard generation of banana to improve marketing competence

  10. Predicting Grapevine Water Status Based on Hyperspectral Reflectance Vegetation Indices

    Directory of Open Access Journals (Sweden)

    Isabel Pôças

    2015-12-01

    Full Text Available Several vegetation indices (VI derived from handheld spectroradiometer reflectance data in the visible spectral region were tested for modelling grapevine water status estimated by the predawn leaf water potential (Ψpd. The experimental trial was carried out in a vineyard in Douro wine region, Portugal. A statistical approach was used to evaluate which VI and which combination of wavelengths per VI allows the best correlation between VIs and Ψpd. A linear regression was defined using a parameterization dataset. The correlation analysis between Ψpd and the VIs computed with the standard formulation showed relatively poor results, with values for squared Pearson correlation coefficient (r2 smaller than 0.67. However, the results of r2 highly improved for all VIs when computed with the selected best combination of wavelengths (optimal VIs. The optimal Visible Atmospherically Resistant Index (VARI and Normalized Difference Greenness Vegetation Index (NDGI showed the higher r2 and stability index results. The equations obtained through the regression between measured Ψpd (Ψpd_obs and optimal VARI and between Ψpd_obs and optimal NDGI when using the parameterization dataset were adopted for predicting Ψpd using a testing dataset. The comparison of Ψpd_obs with Ψpd predicted based on VARI led to R2 = 0.79 and a regression coefficient b = 0.96. Similar R2 was achieved for the prediction based on NDGI, but b was smaller (b = 0.93. Results obtained allow the future use of optimal VARI and NDGI for estimating Ψpd, supporting vineyards irrigation management.

  11. Phosphate-based glasses: Prediction of acoustical properties

    Science.gov (United States)

    El-Moneim, Amin Abd

    2016-04-01

    In this work, a comprehensive study has been carried out to predict the composition dependence of bulk modulus and ultrasonic attenuation coefficient in the phosphate-based glass systems PbO-P2O5, Li2O-TeO2-B2O3-P2O5, TiO2-Na2O-CaO-P2O5 and Cr2O3-doped Na2O-ZnO-P2O5 at room temperature. The prediction is based on (i) Makishima-Mackenzie theory, which correlates the bulk modulus with packing density and dissociation energy per unit volume, and (ii) Our recently presented semi-empirical formulas, which correlate the ultrasonic attenuation coefficient with the oxygen density, mean atomic ring size, first-order stretching force constant and experimental bulk modulus. Results revealed that our recently presented semi-empirical formulas can be applied successfully to predict changes of ultrasonic attenuation coefficient in binary PbO-P2O5 glasses at 10 MHz frequency and in quaternary Li2O-TeO2-B2O3-P2O5, TiO2-Na2O-CaO-P2O5 and Cr2O3-Na2O-ZnO-P2O5 glasses at 5 MHz frequency. Also, Makishima-Mackenzie theory appears to be valid for the studied glasses if the effect of the basic structural units that present in the glass network is taken into account.

  12. Ethanol production from banana peels using statistically optimized simultaneous saccharification and fermentation process.

    Science.gov (United States)

    Oberoi, Harinder Singh; Vadlani, Praveen V; Saida, Lavudi; Bansal, Sunil; Hughes, Joshua D

    2011-07-01

    Dried and ground banana peel biomass (BP) after hydrothermal sterilization pretreatment was used for ethanol production using simultaneous saccharification and fermentation (SSF). Central composite design (CCD) was used to optimize concentrations of cellulase and pectinase, temperature and time for ethanol production from BP using SSF. Analysis of variance showed a high coefficient of determination (R(2)) value of 0.92 for ethanol production. On the basis of model graphs and numerical optimization, the validation was done in a laboratory batch fermenter with cellulase, pectinase, temperature and time of nine cellulase filter paper unit/gram cellulose (FPU/g-cellulose), 72 international units/gram pectin (IU/g-pectin), 37 °C and 15 h, respectively. The experiment using optimized parameters in batch fermenter not only resulted in higher ethanol concentration than the one predicted by the model equation, but also saved fermentation time. This study demonstrated that both hydrothermal pretreatment and SSF could be successfully carried out in a single vessel, and use of optimized process parameters helped achieve significant ethanol productivity, indicating commercial potential for the process. To the best of our knowledge, ethanol concentration and ethanol productivity of 28.2 g/l and 2.3 g/l/h, respectively from banana peels have not been reported to date.

  13. Ethanol production from banana peels using statistically optimized simultaneous saccharification and fermentation process.

    Science.gov (United States)

    Oberoi, Harinder Singh; Vadlani, Praveen V; Saida, Lavudi; Bansal, Sunil; Hughes, Joshua D

    2011-07-01

    Dried and ground banana peel biomass (BP) after hydrothermal sterilization pretreatment was used for ethanol production using simultaneous saccharification and fermentation (SSF). Central composite design (CCD) was used to optimize concentrations of cellulase and pectinase, temperature and time for ethanol production from BP using SSF. Analysis of variance showed a high coefficient of determination (R(2)) value of 0.92 for ethanol production. On the basis of model graphs and numerical optimization, the validation was done in a laboratory batch fermenter with cellulase, pectinase, temperature and time of nine cellulase filter paper unit/gram cellulose (FPU/g-cellulose), 72 international units/gram pectin (IU/g-pectin), 37 °C and 15 h, respectively. The experiment using optimized parameters in batch fermenter not only resulted in higher ethanol concentration than the one predicted by the model equation, but also saved fermentation time. This study demonstrated that both hydrothermal pretreatment and SSF could be successfully carried out in a single vessel, and use of optimized process parameters helped achieve significant ethanol productivity, indicating commercial potential for the process. To the best of our knowledge, ethanol concentration and ethanol productivity of 28.2 g/l and 2.3 g/l/h, respectively from banana peels have not been reported to date. PMID:21376555

  14. Protein Function Prediction Based on Sequence and Structure Information

    KAUST Repository

    Smaili, Fatima Z.

    2016-05-25

    The number of available protein sequences in public databases is increasing exponentially. However, a significant fraction of these sequences lack functional annotation which is essential to our understanding of how biological systems and processes operate. In this master thesis project, we worked on inferring protein functions based on the primary protein sequence. In the approach we follow, 3D models are first constructed using I-TASSER. Functions are then deduced by structurally matching these predicted models, using global and local similarities, through three independent enzyme commission (EC) and gene ontology (GO) function libraries. The method was tested on 250 “hard” proteins, which lack homologous templates in both structure and function libraries. The results show that this method outperforms the conventional prediction methods based on sequence similarity or threading. Additionally, our method could be improved even further by incorporating protein-protein interaction information. Overall, the method we use provides an efficient approach for automated functional annotation of non-homologous proteins, starting from their sequence.

  15. Predicting chick body mass by artificial intelligence-based models

    Directory of Open Access Journals (Sweden)

    Patricia Ferreira Ponciano Ferraz

    2014-07-01

    Full Text Available The objective of this work was to develop, validate, and compare 190 artificial intelligence-based models for predicting the body mass of chicks from 2 to 21 days of age subjected to different duration and intensities of thermal challenge. The experiment was conducted inside four climate-controlled wind tunnels using 210 chicks. A database containing 840 datasets (from 2 to 21-day-old chicks - with the variables dry-bulb air temperature, duration of thermal stress (days, chick age (days, and the daily body mass of chicks - was used for network training, validation, and tests of models based on artificial neural networks (ANNs and neuro-fuzzy networks (NFNs. The ANNs were most accurate in predicting the body mass of chicks from 2 to 21 days of age after they were subjected to the input variables, and they showed an R² of 0.9993 and a standard error of 4.62 g. The ANNs enable the simulation of different scenarios, which can assist in managerial decision-making, and they can be embedded in the heating control systems.

  16. A general framework for multivariate multi-index drought prediction based on Multivariate Ensemble Streamflow Prediction (MESP)

    Science.gov (United States)

    Hao, Zengchao; Hao, Fanghua; Singh, Vijay P.

    2016-08-01

    Drought is among the costliest natural hazards worldwide and extreme drought events in recent years have caused huge losses to various sectors. Drought prediction is therefore critically important for providing early warning information to aid decision making to cope with drought. Due to the complicated nature of drought, it has been recognized that the univariate drought indicator may not be sufficient for drought characterization and hence multivariate drought indices have been developed for drought monitoring. Alongside the substantial effort in drought monitoring with multivariate drought indices, it is of equal importance to develop a drought prediction method with multivariate drought indices to integrate drought information from various sources. This study proposes a general framework for multivariate multi-index drought prediction that is capable of integrating complementary prediction skills from multiple drought indices. The Multivariate Ensemble Streamflow Prediction (MESP) is employed to sample from historical records for obtaining statistical prediction of multiple variables, which is then used as inputs to achieve multivariate prediction. The framework is illustrated with a linearly combined drought index (LDI), which is a commonly used multivariate drought index, based on climate division data in California and New York in the United States with different seasonality of precipitation. The predictive skill of LDI (represented with persistence) is assessed by comparison with the univariate drought index and results show that the LDI prediction skill is less affected by seasonality than the meteorological drought prediction based on SPI. Prediction results from the case study show that the proposed multivariate drought prediction outperforms the persistence prediction, implying a satisfactory performance of multivariate drought prediction. The proposed method would be useful for drought prediction to integrate drought information from various sources

  17. Biossorption of uranium on banana pith; Biossorcao de uranio nas cascas de banana

    Energy Technology Data Exchange (ETDEWEB)

    Boniolo, Milena Rodrigues

    2008-07-01

    Banana pith was characterized by Fourier Transformed Infrared Spectroscopy and Scanning Electron Microscopy, and investigated as a low cost bio sorbent for the removal of uranium ions from nitric solutions. Influences variable as were studied: adsorbent particle size, contact time, pH and temperature were studied. The removal percentage was increased from 13 to 57% when the particle size was decreased from 6.000 to 0.074 mm. The determined contact time was 40 minutes with 60% mean removal. The removal was increased from 40 to 55% when the pH varied from 2 to 5. The Langmuir and Freundlich linear isotherm models were applied to describe the adsorption equilibrium. The kinetic of the process was studied using the pseudo-first order and pseudo-second order models. Thermodynamics parameters such as {delta}G, {delta}S and {delta}H were calculated. In concentration range of 50 - 500 mg.L{sup -1}, the adsorption process was described better by the Freundlich equation. The adsorption capacity at equilibrium of uranium ions was determined from the Langmuir equation, and it was found 11.50 mg.g{sup -1} at 25 {+-} 2 deg C. The kinetic was better represented by the pseudo-second order model. The bio sorption process for uranium removal from the solutions was considered an exothermic reaction, and the values of {delta}H and {delta}S obtained were -9.61 kJ.mol''-{sup 1} and 1.37 J.mol''-{sup 1}, respectively. The values of the Gibbs free energy changed from -10.03 to -10.06 kJ.mol{sup -1} when the temperature was increased from 30 to 50 deg C. This study showed the potential application of the banana pith as bio sorbent of uranium ions. (author)

  18. Deep sequencing of banana bract mosaic virus from flowering ginger (Alpinia purpurata) and development of an immunocapture RT-LAMP detection assay.

    Science.gov (United States)

    Zhang, Jingxin; Borth, Wayne B; Lin, Birun; Dey, Kishore K; Melzer, Michael J; Shen, Huifang; Pu, Xiaoming; Sun, Dayuan; Hu, John S

    2016-07-01

    Banana bract mosaic virus (BBrMV) has never been reported in banana plants in Hawaii. In 2010, however, it was detected in a new host, flowering ginger (Alpinia purpurata). In this study, we characterize the A. purpurata isolate and study its spread in flowering ginger in Hawaii. A laboratory study demonstrated that BBrMV could be transmitted from flowering ginger to its natural host, banana, therefore raising a serious concern about the potential risk to the rapidly growing banana industry of Hawaii. To quickly monitor this virus in the field, we developed a robust immunocapture reverse transcription loop-mediated isothermal amplification (IC-RT-LAMP) assay. Deep sequencing of the BBrMV isolate from A. purpurata revealed a single-stranded RNA virus with a genome of 9,713 nt potentially encoding a polyprotein of 3,124 aa, and another predicted protein, PIPO, in the +2 reading-frame shift. Most of the functional motifs in the Hawaiian isolate were conserved among the genomes of isolates from one found in the Philippines and India. However, the A. purpurata isolate had an amino acid deletion in the Pl protein that was most similar to the Philippine isolate. Phylogenetic analysis of an eastern Pacific subpopulation that included A. purpurata was closest in genetic distance to a Southeast Asian subpopulation, suggesting frequent gene flow and supporting the hypothesis that the A. purpurata isolate arrived in Hawaii from Southeast Asia. PMID:27038825

  19. The Residual-based Predictiveness Curve - A Visual Tool to Assess the Performance of Prediction Models

    OpenAIRE

    Casalicchio, Giuseppe; Bischl, Bernd; Boulesteix, Anne-Laure; Schmid, Matthias

    2015-01-01

    It is agreed among biostatisticians that prediction models for binary outcomes should satisfy two essential criteria: First, a prediction model should have a high discriminatory power, implying that it is able to clearly separate cases from controls. Second, the model should be well calibrated, meaning that the predicted risks should closely agree with the relative frequencies observed in the data. The focus of this work is on the predictiveness curve, which has been proposed by Huang et ...

  20. A prediction method based on grey system theory in equipment condition based maintenance

    International Nuclear Information System (INIS)

    Grey prediction is a modeling method based on historical or present, known or indefinite information, which can be used for forecasting the development of the eigenvalues of the targeted equipment system and setting up the model by using less information. In this paper, the postulate of grey system theory, which includes the grey generating, the sorts of grey generating and the grey forecasting model, is introduced first. The concrete application process, which includes the grey prediction modeling, grey prediction, error calculation, equal dimension and new information approach, is introduced secondly. Application of a so-called 'Equal Dimension and New Information' (EDNI) technology in grey system theory is adopted in an application case, aiming at improving the accuracy of prediction without increasing the amount of calculation by replacing old data with new ones. The proposed method can provide a new way for solving the problem of eigenvalue data exploding in equal distance effectively, short time interval and real time prediction. The proposed method, which was based on historical or present, known or indefinite information, was verified by the vibration prediction of induced draft fan of a boiler of the Yantai Power Station in China, and the results show that the proposed method based on grey system theory is simple and provides a high accuracy in prediction. So, it is very useful and significant to the controlling and controllable management in safety production. (authors)

  1. Predictive Multiscale Modeling of Nanocellulose Based Materials and Systems

    Science.gov (United States)

    Kovalenko, Andriy

    2014-08-01

    Cellulose Nanocrysals (CNC) is a renewable biodegradable biopolymer with outstanding mechanical properties made from highly abundant natural source, and therefore is very attractive as reinforcing additive to replace petroleum-based plastics in biocomposite materials, foams, and gels. Large-scale applications of CNC are currently limited due to its low solubility in non-polar organic solvents used in existing polymerization technologies. The solvation properties of CNC can be improved by chemical modification of its surface. Development of effective surface modifications has been rather slow because extensive chemical modifications destabilize the hydrogen bonding network of cellulose and deteriorate the mechanical properties of CNC. We employ predictive multiscale theory, modeling, and simulation to gain a fundamental insight into the effect of CNC surface modifications on hydrogen bonding, CNC crystallinity, solvation thermodynamics, and CNC compatibilization with the existing polymerization technologies, so as to rationally design green nanomaterials with improved solubility in non-polar solvents, controlled liquid crystal ordering and optimized extrusion properties. An essential part of this multiscale modeling approach is the statistical- mechanical 3D-RISM-KH molecular theory of solvation, coupled with quantum mechanics, molecular mechanics, and multistep molecular dynamics simulation. The 3D-RISM-KH theory provides predictive modeling of both polar and non-polar solvents, solvent mixtures, and electrolyte solutions in a wide range of concentrations and thermodynamic states. It properly accounts for effective interactions in solution such as steric effects, hydrophobicity and hydrophilicity, hydrogen bonding, salt bridges, buffer, co-solvent, and successfully predicts solvation effects and processes in bulk liquids, solvation layers at solid surface, and in pockets and other inner spaces of macromolecules and supramolecular assemblies. This methodology

  2. Cover cropping alters the diet of arthropods in a banana plantation: a metabarcoding approach.

    Directory of Open Access Journals (Sweden)

    Gregory Mollot

    Full Text Available Plant diversification using cover crops may promote natural regulation of agricultural pests by supporting alternative prey that enable the increase of arthropod predator densities. However, the changes in the specific composition of predator diet induced by cover cropping are poorly understood. Here, we hypothesized that the cover crop can significantly alter the diet of predators in agroecosystems. The cover crop Brachiaria decumbens is increasingly used in banana plantations to control weeds and improve physical soil properties. In this paper, we used a DNA metabarcoding approach for the molecular analysis of the gut contents of predators (based on mini-COI to identify 1 the DNA sequences of their prey, 2 the predators of Cosmopolites sordidus (a major pest of banana crops, and 3 the difference in the specific composition of predator diets between a bare soil plot (BSP and a cover cropped plot (CCP in a banana plantation. The earwig Euborellia caraibea, the carpenter ant Camponotus sexguttatus, and the fire ant Solenopsis geminata were found to contain C. sordidus DNA at frequencies ranging from 1 to 7%. While the frequencies of predators positive for C. sordidus DNA did not significantly differ between BSP and CCP, the frequency at which E. caraibea was positive for Diptera was 26% in BSP and 80% in CCP; the frequency at which C. sexguttatus was positive for Jalysus spinosus was 14% in BSP and 0% in CCP; and the frequency at which S. geminata was positive for Polytus mellerborgi was 21% in BSP and 3% in CCP. E. caraibea, C. sexguttatus and S. geminata were identified as possible biological agents for the regulation of C. sordidus. The detection of the diet changes of these predators when a cover crop is planted indicates the possible negative effects on pest regulation if predators switch to forage on alternative prey.

  3. The complete chloroplast genome of banana (Musa acuminata, Zingiberales: insight into plastid monocotyledon evolution.

    Directory of Open Access Journals (Sweden)

    Guillaume Martin

    Full Text Available BACKGROUND: Banana (genus Musa is a crop of major economic importance worldwide. It is a monocotyledonous member of the Zingiberales, a sister group of the widely studied Poales. Most cultivated bananas are natural Musa inter-(sub-specific triploid hybrids. A Musa acuminata reference nuclear genome sequence was recently produced based on sequencing of genomic DNA enriched in nucleus. METHODOLOGY/PRINCIPAL FINDINGS: The Musa acuminata chloroplast genome was assembled with chloroplast reads extracted from whole-genome-shotgun sequence data. The Musa chloroplast genome is a circular molecule of 169,972 bp with a quadripartite structure containing two single copy regions, a Large Single Copy region (LSC, 88,338 bp and a Small Single Copy region (SSC, 10,768 bp separated by Inverted Repeat regions (IRs, 35,433 bp. Two forms of the chloroplast genome relative to the orientation of SSC versus LSC were found. The Musa chloroplast genome shows an extreme IR expansion at the IR/SSC boundary relative to the most common structures found in angiosperms. This expansion consists of the integration of three additional complete genes (rps15, ndhH and ycf1 and part of the ndhA gene. No such expansion has been observed in monocots so far. Simple Sequence Repeats were identified in the Musa chloroplast genome and a new set of Musa chloroplastic markers was designed. CONCLUSION: The complete sequence of M. acuminata ssp malaccensis chloroplast we reported here is the first one for the Zingiberales order. As such it provides new insight in the evolution of the chloroplast of monocotyledons. In particular, it reinforces that IR/SSC expansion has occurred independently several times within monocotyledons. The discovery of new polymorphic markers within Musa chloroplast opens new perspectives to better understand the origin of cultivated triploid bananas.

  4. Banana fiber-reinforced biodegradable soy protein composites

    Institute of Scientific and Technical Information of China (English)

    Rakesh Kumar; Veena Choudhary; Saroj Mishra; Ik Varma

    2008-01-01

    Banana fiber,a waste product of banana cultivation,has been used to prepare banana fiber reinforced soy protein composites. Alkali modified banana fibers were characterized in terms of density,denier and crystallinity index. Fourier transformed infrared spectroscopy (FTIR),scanning electron microscopy (SEM) and thermogravimetric analysis (TGA) were also performed on the fibers. Soy protein composites were prepared by incorporating different volume fractions of alkali,treated and untreated fibers into soy protein isolate (SPI) with different amounts of glycerol (25%,50%) as plasticizer.Composites thus prepared were characterized in terms of mechanical properties,SEM and water resistance.The results indicate that at 0.3 volume fraction,tensile strength and modulus of alkali treated fiber reinforced soy protein composites increased to 82% and 963%,respectively,compared to soy protein film without fibers.Water resistance of the composites increased significantly with the addition of glutaraldehyde which acts as crosslinking agent. Biodegradability of the composites has also been tested in the contaminated environment and the composites were found to be 100% biodegradable.

  5. Banana (Musa spp.) Production Characteristics and Performance in Uganda

    NARCIS (Netherlands)

    Bagamba, F.; Burger, C.P.J.; Tushemereirwe, W.K.

    2010-01-01

    The highland cooking banana (Musa spp., AAA-EA genome) is the most important crop in the East African Great Lakes region. In Uganda, production has expanded and productivity increased in the country’s southwest and declined in the Central region where the crop has traditional roots. Analyzing crop c

  6. Integrating banana and ruminant production in the French West Indies.

    Science.gov (United States)

    Archimède, Harry; Gourdine, Jean Luc; Fanchone, Audrey; Tournebize, Regis; Bassien-Capsa, Mylène; González-García, Eliel

    2012-08-01

    Using a mechanistic model, we compared five alternative farming systems with the purpose of transforming monoculture (MON) banana farms into mixed farming systems (MFS) with ruminants feeding banana by-products (leaves, pseudostems and nonmarketable fruits) and forage from the fallow land. The paper presents the main structure of the model (land surface changes, available biomass for animals, stocking rates, productive or reproductive indicators), and impact assessment (change in farm productivity) is discussed. Five MFS with typical local ruminant production systems were used to compare MON to the strategies using forage from fallow and/or integrating Creole cattle (CC), Creole goats (CG) or Martinik sheep (MS) into banana farming. One hectare MON shifted into an MFS allows a stocking rate of 1,184, 285, and 418 kg of live weight per hectare for CC, CG and MS, respectively. Banana by-products seem to be better valorized by the CC scenario. However, parameters such as length of the cycle, local prices for cattle, goat and sheep meat, work time and farmer's skills in ruminant management may have been taken into account by the farmer when choosing the ruminant species to rear.

  7. Impact of Diseases on Export and Smallholder Production of Banana

    NARCIS (Netherlands)

    Ploetz, R.C.; Kema, G.H.J.; Ma, Li Jun

    2015-01-01

    Banana (Musa spp.) is one of the world's most valuable primary agricultural commodities. Exported fruit are key commodities in several producing countries yet make up less than 15 of the total annual output of 145 million metric tons (MMT). Transnational exporters market fruit of the Cavendish cu

  8. Molecular diagnostics for the Sigatoka disease complex of banana

    NARCIS (Netherlands)

    Arzanlou, M.; Abeln, E.C.A.; Kema, G.H.J.; Waalwijk, C.; Carlier, J.; Crous, P.W.

    2007-01-01

    The Sigatoka disease complex of banana involves three related ascomycetous fungi, Mycosphaerella fijiensis, M. musicola, and M. eumusae. The exact distribution of these three species and their disease epidemiology remain unclear, because their symptoms and life cycles are rather similar. Disease dia

  9. Quality Characteristics of Dried Bananas Produced with Infrared Radiation Technology

    Science.gov (United States)

    Browning of fruits during drying is a major quality concern. The enzyme polyphenol oxidase has been found to be the main cause of browning in bananas. Infrared radiation (IR) drying could be used to minimize enzymatic browning hence eliminating the need for pre-treatments. This study was to inves...

  10. Hot water treatments delay cold-induced banana peel blackening

    NARCIS (Netherlands)

    Promyou, S.; Ketsa, S.; Doorn, van W.G.

    2008-01-01

    Banana fruit of cv. Gros Michel (Musa acuminata, AAA Group, locally called cv. Hom Thong) and cv. Namwa (Musa x paradisiaca, ABB Group) were immersed for 5, 10 and 15 min in water at 42 degrees C, or in water at 25 degrees C (control), and were then stored at 4 degrees C. Hot water treatment for 15

  11. Sequencing the Major Mycosphaerella Pathogens of Wheat and Banana

    NARCIS (Netherlands)

    Kema, G.H.J.

    2009-01-01

    Mycosphaerella is one of the largest genera of plant-pathogenic fungi with more than 1,000 named species, many of which are important pathogens causing leaf spotting diseases in a wide variety of crops including cereals, citrus, banana, eucalypts, soft fruits and horticultural crops. A few species o

  12. Sequencing the Major Mycosphaerella Pathogens of Wheat and Banana

    NARCIS (Netherlands)

    Kema, G.H.; Dunkle, L.D.; Churchill, A.C.; Carlier, J.; James, A.; Souza, M.T.; Crous, P.W.; Roux, N.; Lee, T.A. van der; Wiitenberg, A.; Lindquist, E.; Grigoriev, I.; Bristow, J.; Goodwin, S.B.

    2007-01-01

    Mycosphaerella is one of the largest genera of plant pathogenic fungi with more than 1,000 named species, many of which are important pathogens causing leaf spotting diseases in a wide variety of crops including cereals, citrus, banana, eucalypts, soft fruits, and horticultural crops. A few species

  13. Sequencing the Major Mycosphaerella Pathogens of Wheat and Banana

    Science.gov (United States)

    Mycosphaerella is one of the largest genera of plant pathogenic fungi with more than 1,000 named species, many of which are important pathogens causing leaf spotting diseases in a wide variety of crops including cereals, citrus, banana, eucalypts, soft fruits, and horticultural crops. A few species ...

  14. Understanding growth of East Africa highland banana: experiments and simulation

    NARCIS (Netherlands)

    Nyombi, K.

    2010-01-01

    Key words: leaf area; radiation interception; QUEFTS model; fertilizer recovery fractions; nutrient mass fractions; crop growth; calibration; validation; radiation use efficiency; sensitivity analysis East Africa Highland banana yields on smallholder farms in the Great Lakes region are small (11−2

  15. Effect of gamma irradiation on Hom Tong banana

    International Nuclear Information System (INIS)

    This report contains research on the use of gamma irradiation to retard the ripening and extend the shelf life of bananas. The major concerns were the effects that irradiation would have on the nutritional content, the organoleptic properties and the pigment of the fruit

  16. Biomass prediction model in maize based on satellite images

    Science.gov (United States)

    Mihai, Herbei; Florin, Sala

    2016-06-01

    Monitoring of crops by satellite techniques is very useful in the context of precision agriculture, regarding crops management and agricultural production. The present study has evaluated the interrelationship between maize biomass production and satellite indices (NDVI and NDBR) during five development stages (BBCH code), highlighting different levels of correlation. Biomass production recorded was between 2.39±0.005 t ha-1 (12-13 BBCH code) and 51.92±0.028 t ha-1 (83-85 BBCH code), in relation to vegetation stages studied. Values of chlorophyll content ranged from 24.1±0.25 SPAD unit (12-13 BBCH code) to 58.63±0.47 SPAD unit (71-73 BBCH code), and the obtained satellite indices ranged from 0.035641±0.002 and 0.320839±0.002 for NDVI indices respectively 0.035095±0.034 and 0.491038±0.018 in the case of NDBR indices. By regression analysis it was possible to obtain predictive models of biomass in maize based on the satellite indices, in statistical accurate conditions. The most accurate prediction was possible based on NDBR index (R2 = 0.986, F = 144.23, p<0.001, RMSE = 1.446), then based on chlorophyll content (R2 = 0.834, F = 16.14, p = 0.012, RMSE = 6.927) and NDVI index (R2 = 0.682, F = 3.869, p = 0.116, RMSE = 12.178).

  17. Cognitive control predicts use of model-based reinforcement learning.

    Science.gov (United States)

    Otto, A Ross; Skatova, Anya; Madlon-Kay, Seth; Daw, Nathaniel D

    2015-02-01

    Accounts of decision-making and its neural substrates have long posited the operation of separate, competing valuation systems in the control of choice behavior. Recent theoretical and experimental work suggest that this classic distinction between behaviorally and neurally dissociable systems for habitual and goal-directed (or more generally, automatic and controlled) choice may arise from two computational strategies for reinforcement learning (RL), called model-free and model-based RL, but the cognitive or computational processes by which one system may dominate over the other in the control of behavior is a matter of ongoing investigation. To elucidate this question, we leverage the theoretical framework of cognitive control, demonstrating that individual differences in utilization of goal-related contextual information--in the service of overcoming habitual, stimulus-driven responses--in established cognitive control paradigms predict model-based behavior in a separate, sequential choice task. The behavioral correspondence between cognitive control and model-based RL compellingly suggests that a common set of processes may underpin the two behaviors. In particular, computational mechanisms originally proposed to underlie controlled behavior may be applicable to understanding the interactions between model-based and model-free choice behavior. PMID:25170791

  18. Method of predicting Splice Sites based on signal interactions

    Directory of Open Access Journals (Sweden)

    Deogun Jitender S

    2006-04-01

    Full Text Available Abstract Background Predicting and proper ranking of canonical splice sites (SSs is a challenging problem in bioinformatics and machine learning communities. Any progress in SSs recognition will lead to better understanding of splicing mechanism. We introduce several new approaches of combining a priori knowledge for improved SS detection. First, we design our new Bayesian SS sensor based on oligonucleotide counting. To further enhance prediction quality, we applied our new de novo motif detection tool MHMMotif to intronic ends and exons. We combine elements found with sensor information using Naive Bayesian Network, as implemented in our new tool SpliceScan. Results According to our tests, the Bayesian sensor outperforms the contemporary Maximum Entropy sensor for 5' SS detection. We report a number of putative Exonic (ESE and Intronic (ISE Splicing Enhancers found by MHMMotif tool. T-test statistics on mouse/rat intronic alignments indicates, that detected elements are on average more conserved as compared to other oligos, which supports our assumption of their functional importance. The tool has been shown to outperform the SpliceView, GeneSplicer, NNSplice, Genio and NetUTR tools for the test set of human genes. SpliceScan outperforms all contemporary ab initio gene structural prediction tools on the set of 5' UTR gene fragments. Conclusion Designed methods have many attractive properties, compared to existing approaches. Bayesian sensor, MHMMotif program and SpliceScan tools are freely available on our web site. Reviewers This article was reviewed by Manyuan Long, Arcady Mushegian and Mikhail Gelfand.

  19. Sentiment Prediction Based on Dempster-Shafer Theory of Evidence

    Directory of Open Access Journals (Sweden)

    Mohammad Ehsan Basiri

    2014-01-01

    Full Text Available Sentiment prediction techniques are often used to assign numerical scores to free-text format reviews written by people in online review websites. In order to exploit the fine-grained structural information of textual content, a review may be considered as a collection of sentences, each with its own sentiment orientation and score. In this manner, a score aggregation method is needed to combine sentence-level scores into an overall review rating. While recent work has concentrated on designing effective sentence-level prediction methods, there remains the problem of finding efficient algorithms for score aggregation. In this study, we investigate different aggregation methods, as well as the cases in which they perform poorly. According to the analysis of existing methods, we propose a new score aggregation method based on the Dempster-Shafer theory of evidence. In the proposed method, we first detect the polarity of reviews using a machine learning approach and then, consider sentence scores as evidence for the overall review rating. The results from two public social web datasets show the higher performance of our method in comparison with existing score aggregation methods and state-of-the-art machine learning approaches.

  20. Bayesian predictive modeling for genomic based personalized treatment selection.

    Science.gov (United States)

    Ma, Junsheng; Stingo, Francesco C; Hobbs, Brian P

    2016-06-01

    Efforts to personalize medicine in oncology have been limited by reductive characterizations of the intrinsically complex underlying biological phenomena. Future advances in personalized medicine will rely on molecular signatures that derive from synthesis of multifarious interdependent molecular quantities requiring robust quantitative methods. However, highly parameterized statistical models when applied in these settings often require a prohibitively large database and are sensitive to proper characterizations of the treatment-by-covariate interactions, which in practice are difficult to specify and may be limited by generalized linear models. In this article, we present a Bayesian predictive framework that enables the integration of a high-dimensional set of genomic features with clinical responses and treatment histories of historical patients, providing a probabilistic basis for using the clinical and molecular information to personalize therapy for future patients. Our work represents one of the first attempts to define personalized treatment assignment rules based on large-scale genomic data. We use actual gene expression data acquired from The Cancer Genome Atlas in the settings of leukemia and glioma to explore the statistical properties of our proposed Bayesian approach for personalizing treatment selection. The method is shown to yield considerable improvements in predictive accuracy when compared to penalized regression approaches. PMID:26575856

  1. Fertilizantes comerciais e polpa de banana no cultivo in vitro de um híbrido de Phalaenopsis (Orchidaceae Commercial fertilizers and banana pulp for in vitro cultivation of a Phalaenopsis hybrid

    Directory of Open Access Journals (Sweden)

    Ronan Carlos Colombo

    2012-12-01

    Full Text Available A propagação in vitro de orquídeas é bastante utilizada para a produção de mudas. A busca por meios de cultura alternativos para este fim vem sendo amplamente estudada devido à complexidade dos meios comumente utilizados, como o meio MS. Os híbridos de Phalaenopsis encontram-se dentre as orquídeas mais comercializadas no mundo devido à longevidade e à beleza peculiar de suas flores. Nesse trabalho, objetivou-se avaliar o efeito de formulações de fertilizantes comerciais e adição de polpa de banana 'Nanica' em meio de cultura no cultivo in vitro de um híbrido de Phalaenopsis (P. amabilis x P. equestris. Plântulas germinadas in vitro, em meio MS, foram subcultivadas em meios de cultura à base de fertilizantes comerciais e meio MS modificado com metade da concentração dos macronutrientes. Os meios de cultura foram avaliados com e sem a adição de polpa de banana 'Nanica' (100 g L-1 no estádio de maturação quatro. A base dos meios de cultura foi composta por sacarose (30 g L-1, carvão ativado (1 g L-1 e ágar (9 g L-1. Aos 180 dias foram avaliadas as seguintes variáveis: área foliar, número de folhas e raízes, comprimento de raízes e massas de matérias secas de folhas e raízes. Conclui-se que o tratamento composto por Biofert® acrescido de polpa de banana apresentou os melhores resultados para o desenvolvimento in vitro do híbrido, inclusive apresentando resultados estatisticamente superiores em relação ao meio MS sem banana.The in vitro propagation of orchids is a largely used procedure for the production of seedlings. The search for alternative culture media with this purpose has been widely studied due to the complexity of the commonly used media, e.g. the MS medium. The hybrids of Phalaenopsis are among the most commercialized orchids in the world due to the longevity and distinct beauty of its flowers. The objective of this study was to evaluate the effect of commercial fertilizers' formulations and the

  2. Traditional Banana Diversity in Oceania: An Endangered Heritage.

    Science.gov (United States)

    Kagy, Valérie; Wong, Maurice; Vandenbroucke, Henri; Jenny, Christophe; Dubois, Cécile; Ollivier, Anthony; Cardi, Céline; Mournet, Pierre; Tuia, Valérie; Roux, Nicolas; Doležel, Jaroslav; Perrier, Xavier

    2016-01-01

    This study aims to understand the genetic diversity of traditional Oceanian starchy bananas in order to propose an efficient conservation strategy for these endangered varieties. SSR and DArT molecular markers are used to characterize a large sample of Pacific accessions, from New Guinea to Tahiti and Hawaii. All Pacific starchy bananas are shown of New Guinea origin, by interspecific hybridization between Musa acuminata (AA genome), more precisely its local subspecies M. acuminata ssp. banksii, and M. balbisiana (BB genome) generating triploid AAB Pacific starchy bananas. These AAB genotypes do not form a subgroup sensu stricto and genetic markers differentiate two subgroups across the three morphotypes usually identified: Iholena versus Popoulu and Maoli. The Popoulu/Maoli accessions, even if morphologically diverse throughout the Pacific, cluster in the same genetic subgroup. However, the subgroup is not strictly monophyletic and several close, but different genotypes are linked to the dominant genotype. One of the related genotypes is specific to New Caledonia (NC), with morphotypes close to Maoli, but with some primitive characters. It is concluded that the diffusion of Pacific starchy AAB bananas results from a series of introductions of triploids originating in New Guinea area from several sexual recombination events implying different genotypes of M. acuminata ssp. banksii. This scheme of multiple waves from the New Guinea zone is consistent with the archaeological data for peopling of the Pacific. The present geographic distribution suggests that a greater diversity must have existed in the past. Its erosion finds parallels with the erosion of cultural traditions, inexorably declining in most of the Polynesian or Melanesian Islands. Symmetrically, diversity hot spots appear linked to the local persistence of traditions: Maoli in New Caledonian Kanak traditions or Iholena in a few Polynesian islands. These results will contribute to optimizing the

  3. Traditional Banana Diversity in Oceania: An Endangered Heritage.

    Science.gov (United States)

    Kagy, Valérie; Wong, Maurice; Vandenbroucke, Henri; Jenny, Christophe; Dubois, Cécile; Ollivier, Anthony; Cardi, Céline; Mournet, Pierre; Tuia, Valérie; Roux, Nicolas; Doležel, Jaroslav; Perrier, Xavier

    2016-01-01

    This study aims to understand the genetic diversity of traditional Oceanian starchy bananas in order to propose an efficient conservation strategy for these endangered varieties. SSR and DArT molecular markers are used to characterize a large sample of Pacific accessions, from New Guinea to Tahiti and Hawaii. All Pacific starchy bananas are shown of New Guinea origin, by interspecific hybridization between Musa acuminata (AA genome), more precisely its local subspecies M. acuminata ssp. banksii, and M. balbisiana (BB genome) generating triploid AAB Pacific starchy bananas. These AAB genotypes do not form a subgroup sensu stricto and genetic markers differentiate two subgroups across the three morphotypes usually identified: Iholena versus Popoulu and Maoli. The Popoulu/Maoli accessions, even if morphologically diverse throughout the Pacific, cluster in the same genetic subgroup. However, the subgroup is not strictly monophyletic and several close, but different genotypes are linked to the dominant genotype. One of the related genotypes is specific to New Caledonia (NC), with morphotypes close to Maoli, but with some primitive characters. It is concluded that the diffusion of Pacific starchy AAB bananas results from a series of introductions of triploids originating in New Guinea area from several sexual recombination events implying different genotypes of M. acuminata ssp. banksii. This scheme of multiple waves from the New Guinea zone is consistent with the archaeological data for peopling of the Pacific. The present geographic distribution suggests that a greater diversity must have existed in the past. Its erosion finds parallels with the erosion of cultural traditions, inexorably declining in most of the Polynesian or Melanesian Islands. Symmetrically, diversity hot spots appear linked to the local persistence of traditions: Maoli in New Caledonian Kanak traditions or Iholena in a few Polynesian islands. These results will contribute to optimizing the

  4. Traditional Banana Diversity in Oceania: An Endangered Heritage.

    Directory of Open Access Journals (Sweden)

    Valérie Kagy

    Full Text Available This study aims to understand the genetic diversity of traditional Oceanian starchy bananas in order to propose an efficient conservation strategy for these endangered varieties. SSR and DArT molecular markers are used to characterize a large sample of Pacific accessions, from New Guinea to Tahiti and Hawaii. All Pacific starchy bananas are shown of New Guinea origin, by interspecific hybridization between Musa acuminata (AA genome, more precisely its local subspecies M. acuminata ssp. banksii, and M. balbisiana (BB genome generating triploid AAB Pacific starchy bananas. These AAB genotypes do not form a subgroup sensu stricto and genetic markers differentiate two subgroups across the three morphotypes usually identified: Iholena versus Popoulu and Maoli. The Popoulu/Maoli accessions, even if morphologically diverse throughout the Pacific, cluster in the same genetic subgroup. However, the subgroup is not strictly monophyletic and several close, but different genotypes are linked to the dominant genotype. One of the related genotypes is specific to New Caledonia (NC, with morphotypes close to Maoli, but with some primitive characters. It is concluded that the diffusion of Pacific starchy AAB bananas results from a series of introductions of triploids originating in New Guinea area from several sexual recombination events implying different genotypes of M. acuminata ssp. banksii. This scheme of multiple waves from the New Guinea zone is consistent with the archaeological data for peopling of the Pacific. The present geographic distribution suggests that a greater diversity must have existed in the past. Its erosion finds parallels with the erosion of cultural traditions, inexorably declining in most of the Polynesian or Melanesian Islands. Symmetrically, diversity hot spots appear linked to the local persistence of traditions: Maoli in New Caledonian Kanak traditions or Iholena in a few Polynesian islands. These results will contribute to

  5. Demand Management Based on Model Predictive Control Techniques

    Directory of Open Access Journals (Sweden)

    Yasser A. Davizón

    2014-01-01

    Full Text Available Demand management (DM is the process that helps companies to sell the right product to the right customer, at the right time, and for the right price. Therefore the challenge for any company is to determine how much to sell, at what price, and to which market segment while maximizing its profits. DM also helps managers efficiently allocate undifferentiated units of capacity to the available demand with the goal of maximizing revenue. This paper introduces control system approach to demand management with dynamic pricing (DP using the model predictive control (MPC technique. In addition, we present a proper dynamical system analogy based on active suspension and a stability analysis is provided via the Lyapunov direct method.

  6. Traffic Prediction Based on Correlation of Road Sections

    Directory of Open Access Journals (Sweden)

    Xiaodan Huang

    2013-10-01

    Full Text Available Road section data packet is very necessary for the estimation and prediction in short-time traffic condition. However, previous researches on this problem are lack of quantitative analysis. A section correlation analyzing method with traffic flow microwave data is proposed for this problem. It is based on the metric multidimensional scaling theory. With a dissimilarity matrix, scalar product matrix can be calculated. Subsequently, a reconstructing matrix of section traffic flow could be got with principal components factor analysis, which could display section groups in low dimension. It is verified that the new method is reliable and effective. After that, Auto Regressive Moving Average (A RMA model is used for forecasting traffic flow and lane occupancy. Finally, a simulated example has shown that the technique is effective and exact. The theoretical analysis indicates that the forecasting model and algorithms have a broad prospect for practical application.  

  7. Mining Behavior Based Safety Data to Predict Safety Performance

    Energy Technology Data Exchange (ETDEWEB)

    Jeffrey C. Joe

    2010-06-01

    The Idaho National Laboratory (INL) operates a behavior based safety program called Safety Observations Achieve Results (SOAR). This peer-to-peer observation program encourages employees to perform in-field observations of each other's work practices and habits (i.e., behaviors). The underlying premise of conducting these observations is that more serious accidents are prevented from occurring because lower level “at risk” behaviors are identified and corrected before they can propagate into culturally accepted “unsafe” behaviors that result in injuries or fatalities. Although the approach increases employee involvement in safety, the premise of the program has not been subject to sufficient empirical evaluation. The INL now has a significant amount of SOAR data on these lower level “at risk” behaviors. This paper describes the use of data mining techniques to analyze these data to determine whether they can predict if and when a more serious accident will occur.

  8. Provably Safe and Robust Learning-Based Model Predictive Control

    CERN Document Server

    Aswani, Anil; Sastry, S Shankar; Tomlin, Claire

    2011-01-01

    Controller design for systems typically faces a trade-off between robustness and performance, and the reliability of linear controllers has caused many control practitioners to focus on the former. However, there is a renewed interest in improving system performance to deal with growing energy and pollution constraints. This paper describes a learning-based model predictive control (MPC) scheme. The MPC provides deterministic guarantees on robustness and safety, and the learning is used to identify richer models of the system to improve controller performance. Our scheme uses a linear model with bounds on its uncertainty to construct invariant sets which help to provide the guarantees, and it can be generalized to other classes of models and to pseudo-spectral methods. This framework allows us to handle state and input constraints and optimize system performance with respect to a cost function. The learning occurs through the use of an oracle which returns the value and gradient of unmodeled dynamics at discr...

  9. A Prediction-based Smart Meter Data Generator

    DEFF Research Database (Denmark)

    Iftikhar, Nadeem; Liu, Xiufeng; Nordbjerg, Finn Ebertsen;

    2016-01-01

    With the prevalence of cloud computing and In-ternet of Things (IoT), smart meters have become one of the main components of smart city strategy. Smart meters generate large amounts of fine-grained data that is used to provide useful information to consumers and utility companies for decision-making....... Now-a-days, smart meter analytics systems consist of analytical algorithms that process massive amounts of data. These analytics algorithms require ample amounts of realistic data for testing and verification purposes. However, it is usually difficult to obtain adequate amounts of realistic data......, mainly due to privacy issues. This paper proposes a smart meter data generator that can generate realistic energy consumption data by making use of a small real-world dataset as seed. The generator generates data using a prediction-based method that depends on historical energy consumption patterns along...

  10. What is in a label? Rainforest-Alliance certified banana production versus non-certified conventional banana production

    NARCIS (Netherlands)

    Bellamy, Angelina Sanderson; Svensson, Ola; Brink, van den Paul J.; Tedengren, Michael

    2016-01-01

    Export banana production in Latin America is pesticide intensive, receiving much negative publicity regarding human health problems and environmental degradation. The Rainforest Alliance (RA) certification scheme was established to certify farms that met a number of social, occupation health and

  11. Distribution, timing of attack, and oviposition of the banana weevil, Cosmopolites sordidus, on banana crop residues in Uganda

    NARCIS (Netherlands)

    Masanza, M.; Gold, C.S.; Huis, van A.

    2005-01-01

    Crop sanitation (removal and chopping of residue corms and pseudostems following plant harvest) has been recommended as a 'best bet' means of reducing banana weevil, Cosmopolites sordidus (Germar) (Coleoptera: Curculionidae), populations. However, it has been unclear when such practices should be ca

  12. SNP annotation-based whole genomic prediction and selection

    DEFF Research Database (Denmark)

    Do, Duy Ngoc; Janss, Luc; Jensen, Just;

    2015-01-01

    into a training (968 pigs) and a validation dataset (304 pigs) by assigning records as before and after January 1, 2012, respectively. SNP were annotated by 14 different classes using Ensembl variant effect prediction. Predictive accuracy and prediction bias were calculated using Bayesian Power LASSO...... SNP to total genomic variance was similar among annotated classes across different traits. Predictive performance of SNP classes did not significantly differ from randomized SNP groups. Genomic prediction has accuracy comparable to observed phenotype, and use of genomic prediction can be cost...... effective by replacing feed intake measurement. Genomic annotation had less impact on predictive accuracy traits considered here but may be different for other traits. It is the first study to provide useful insights into biological classes of SNP driving the whole genomic prediction for complex traits in...

  13. Impacts of Low Temperature in winter on Banana Production and Yield Losing Evaluation in Guangxi Province%冬季低温对广西香蕉生产及产量损失影响评估初步研究

    Institute of Scientific and Technical Information of China (English)

    刘世业; 谭宗琨; 包辉昌

    2012-01-01

    通过对广西香蕉生产代表县1980—2008年产量与冬季低温关系分析.结合2008/2009—2010/2011年冬季香蕉大田生产灾情调查验证,结果表明:香蕉遭受辐射型、平流型寒冻害影响后表观症状差异明显,且导致产量损失的关键气象因子与天气类型有关。在此基础上,补充和完善了香蕉寒冻害等级指标。%Based on the low temperature data in winter and the banana yields of banana planting representative counties during 1980-2008 ,combined with the Banana cold disaster investigation in the winter of 2008/2009 and 2010/2011, the relationship between the banana yields and winter low temperature was analyzed. It shows that there is an obvious difference in freeze injury symptoms when bananas suffered radiation-type and advection-type cold damage. The key meteorological factors causing banana's yield losses are related to weather situation. And the banana cold damage indicators are supplement and improved.

  14. BAYESIAN PREDICTION FOR THE TWO-PARAMETER EXPONENTIAL DISTRIBUTION BASED ON TYPE Ⅱ DOUBLY CENSORING

    Institute of Scientific and Technical Information of China (English)

    LiYanling; ZhaoXuanmin; XieWenxian

    2005-01-01

    The two-parameter exponential distribution is proposed to be an underlying model, and prediction bounds for future observations are obtained by using Bayesian approach. Prediction intervals are derived for unobserved lifetimes in one-sample prediction and twosample prediction based on type Ⅱ doubly censored samples. A numerical example is given to illustrate the procedures,prediction intervals are investigated via Monte Carlo method,and the accuracy of prediction intervals is presented.

  15. Evaluation of Banana Hypersensitivity Among a Group of Atopic Egyptian Children: Relation to Parental/Self Reports

    OpenAIRE

    El-Sayed, Zeinab A; El-Ghoneimy, Dalia H.; El-Shennawy, Dina; Nasser, Manar W.

    2013-01-01

    Purpose To evaluate the frequency of banana sensitization and allergy among a group of atopic Egyptian children in relation to parental/self reports. Methods This is a case-control study included 2 groups of allergic children with and without history of banana allergy, each included 40 patients. They were subjected to skin prick test (SPT) using commercial banana allergen extract and prick-prick test (PPT) using raw banana, in addition to measuring the serum banana-specific IgE. Oral banana c...

  16. Grey Theory Based Vibration Prediction for Steam Turbines

    Institute of Scientific and Technical Information of China (English)

    LIANG Lei; SU Leitao; FENG Yongxin; JIANG Dongxiang

    2012-01-01

    The Mechanism of grey prediction method and its application advantages in safety prediction were described.This method was used to predict the vibration amplitude within the coming 6 hours for a steam turbine.Moreover,the prediction results were examined using correlation degree and posterior error.Results indicated that,this grey prediction method had small posterior error and got a grade Ⅰ accuracy.We can foreknow the variation trend of vibration amplitude of the steam turbine through this method,so as to take timely countermeasures.Therefore,the operation safety of the power unit was improved.

  17. Influence of ginger and banana starches on the mechanical and disintegration properties of chloroquine phosphate tab-lets

    Institute of Scientific and Technical Information of China (English)

    O.A.Odeku; M.A.Odeniyi; G.O.Ogunlowo

    2009-01-01

    Objective:The influence of two experimental starches -ginger starch obtained from Zingiber officinale and ba-nana starch from Musa sapientum -on the mechanical and disintegration properties of chloroquine tablets have been studied in comparison with the influence of official corn starch.Methods:Chloroquine tablets were for-mulated using various concentarions of the starches as binding agent.The mechanical properties of the tablets were assessed in terms of crushing strength and friability and the crushing strength-friability ratio (CSFR) while drug release properties were evaluated based on disintegration and the time of tablets.Results:The ranking for crushing strength and CSFR was corn >banana >ginger starch while the ranking was reverse for friability.The disintegration time increased with packing fraction and starch concentration in the rank order of formulations containing corn >banana >ginger starch.The CSFR/DT values increased with concentration of starch binder indicating an improved balance between binding and disintegrant properties of the starches.Sta-tistical analysis showed that there were significant (P <0.001)difference in the CSFR/DT for tablets contai-ning the various starch binders.Conclusion:The mechanical and disintegration properties of the experimental starches compared favorably with those of corn starch and ginger starch could be more useful when faster tablet disintegration is desired.

  18. Empirical modeling of the storm time innermost magnetosphere using Van Allen Probes and THEMIS data: Eastward and banana currents

    Science.gov (United States)

    Stephens, G. K.; Sitnov, M. I.; Ukhorskiy, A. Y.; Roelof, E. C.; Tsyganenko, N. A.; Le, G.

    2016-01-01

    The structure of storm time currents in the inner magnetosphere, including its innermost region inside 4RE, is studied for the first time using a modification of the empirical geomagnetic field model TS07D and new data from Van Allen Probes and Time History of Events and Macroscale Interactions during Substorms missions. It is shown that the model, which uses basis-function expansions instead of ad hoc current modules to approximate the magnetic field, consistently improves its resolution and magnetic field reconstruction with the increase of the number of basis functions and resolves the spatial structure and evolution of the innermost eastward current. This includes a connection between the westward ring current flowing largely at and the eastward ring current concentrated at resulting in a vortex current pattern. A similar pattern coined `banana current' was previously inferred from the pressure distributions based on the energetic neutral atom imaging and first-principles ring current simulations. The morphology of the equatorial currents is dependent on storm phase. During the main phase, it is complex, with several asymmetries forming banana currents. Near SYM-H minimum, the banana current is strongest, is localized in the evening-midnight sector, and is more structured compared to the main phase. It then weakens during the recovery phase resulting in the equatorial currents to become mostly azimuthally symmetric.

  19. Foundation Settlement Prediction Based on a Novel NGM Model

    Directory of Open Access Journals (Sweden)

    Peng-Yu Chen

    2014-01-01

    Full Text Available Prediction of foundation or subgrade settlement is very important during engineering construction. According to the fact that there are lots of settlement-time sequences with a nonhomogeneous index trend, a novel grey forecasting model called NGM (1,1,k,c model is proposed in this paper. With an optimized whitenization differential equation, the proposed NGM (1,1,k,c model has the property of white exponential law coincidence and can predict a pure nonhomogeneous index sequence precisely. We used two case studies to verify the predictive effect of NGM (1,1,k,c model for settlement prediction. The results show that this model can achieve excellent prediction accuracy; thus, the model is quite suitable for simulation and prediction of approximate nonhomogeneous index sequence and has excellent application value in settlement prediction.

  20. Hadoop-Based Distributed System for Online Prediction of Air Pollution Based on Support Vector Machine

    Science.gov (United States)

    Ghaemi, Z.; Farnaghi, M.; Alimohammadi, A.

    2015-12-01

    The critical impact of air pollution on human health and environment in one hand and the complexity of pollutant concentration behavior in the other hand lead the scientists to look for advance techniques for monitoring and predicting the urban air quality. Additionally, recent developments in data measurement techniques have led to collection of various types of data about air quality. Such data is extremely voluminous and to be useful it must be processed at high velocity. Due to the complexity of big data analysis especially for dynamic applications, online forecasting of pollutant concentration trends within a reasonable processing time is still an open problem. The purpose of this paper is to present an online forecasting approach based on Support Vector Machine (SVM) to predict the air quality one day in advance. In order to overcome the computational requirements for large-scale data analysis, distributed computing based on the Hadoop platform has been employed to leverage the processing power of multiple processing units. The MapReduce programming model is adopted for massive parallel processing in this study. Based on the online algorithm and Hadoop framework, an online forecasting system is designed to predict the air pollution of Tehran for the next 24 hours. The results have been assessed on the basis of Processing Time and Efficiency. Quite accurate predictions of air pollutant indicator levels within an acceptable processing time prove that the presented approach is very suitable to tackle large scale air pollution prediction problems.

  1. ANALYSIS OF THE CHEMICAL COMPOSITION AND MORPHOLOGICAL STRUCTURE OF BANANA PSEUDO-STEM

    OpenAIRE

    Kun Li; Shiyu Fu; Huaiyu Zhan; Yao Zhan; Lucian A. Lucia

    2010-01-01

    An analysis of the chemical composition and anatomical structure of banana pseudo-stem was carried out using Light Microscopy (LM), Scanning Electron Microscopy (SEM), and Confocal Laser Scanning Microscopy (CLSM). The chemical analysis indicated there is a high holocellulose content and low lignin content in banana pseudo-stem compared with some other non-wood fiber resources. These results demonstrate that the banana pseudo-stem has potential value for pulping. In addition, we report for th...

  2. Drivers of soil fertility in smallholder banana systems in the African Great Lakes Region

    OpenAIRE

    Delstanche, Séverine

    2011-01-01

    Banana is a crop of major importance in the African Great Lakes Region, because of the food and cash it provides to about 85% of the population. Despite the management efforts of smallholder farmers, on-farm banana yields are low. Low yields are mainly attributed to poor soil fertility and limited input use, drought or irregular rainfall, pests and diseases and inappropriate management practices. Relying on observations on banana plants, crop management, pests and soils in various agro-ecoreg...

  3. Nutritional potential of green banana flour obtained by drying in spouted bed

    OpenAIRE

    Carolina Vieira Bezerra; Antonio Manoel da Cruz Rodrigues; Edna Regina Amante; Luiza Helena Meller da Silva

    2013-01-01

    This study evaluated the chemical composition of peeled and unpeeled green banana Cavendish (AAA) flour obtained by drying in spouted bed, aiming at adding nutritional value to food products. The bananas were sliced and crushed to obtain a paste and fed to the spouted bed dryer (12 cm height and T = 80 ºC) in order to obtain flour. The flours obtained were subjected to analysis of moisture, protein, ash, carbohydrates, total starch, resistant starch, fiber. The green banana flours, mainly unp...

  4. Total soluble solids from banana : evaluation and optimization of extraction parameters

    OpenAIRE

    Carvalho, Giovani B. M.; Silva, Daniel Pereira da; Santos, Júlio C.; Izário Filho, Hélcio J.; A.A. Vicente; Teixeira, J. A.; Felipe, Maria das Graças A.; Silva, João B. Almeida e

    2009-01-01

    Banana, an important component in the diet of the global population, is one of the most consumed fruits in the world. This fruit is also very favorable to industry processes (e.g., fermented beverages) due to its rich content on soluble solids and minerals, with low acidity. The main objective of this work was to evaluate the influence of factors such as banana weight and extraction time during a hot aqueous extraction process on the total soluble solids content of banana. The ...

  5. Estudo de viabilidade da secagem da biomassa da banana verde em spray dryer rotativo

    OpenAIRE

    Ricardo Kenji Oi; Elias Basile Tambourgi; Deovaldo de Moraes Jr

    2010-01-01

    This paper presents a technical feasibility study for drying the biomass of green bananas at a pilot plant spray dryer with rotary atomizer. The biomass of the green banana is a component that can be used industrially in a wide variety of foods, with functional properties, especially the presence of resistant starch. The variables selected in the experimental procedure were the biomass concentration of green banana, feed flow rate and rotation of the atomizer. Responses were obtained as the m...

  6. Consumer Perceptions towards Introducing a Genetically Modified Banana (Musa spp.) in Uganda

    OpenAIRE

    Kikulwe, E.M.; Wesseler, J.H.H.; Falck-Zepeda, J.

    2010-01-01

    The introduction of a genetically modified (GM) banana (Musa spp.) in Uganda is not without controversy. It is likely to generate a wide portfolio of concerns as the technology of genetic engineering is still in its early stages of development in Uganda. The purpose of this study is to show how consumers feel about GM banana biosafety risks and the potential challenges for marketing the product. The study analyzes socio-demographic characteristics, awareness and attitudes of banana-consuming ...

  7. Characterization of Musa sp. fruits and plantain banana ripening stages according to their physicochemical attributes.

    Science.gov (United States)

    Valérie Passo Tsamo, Claudine; Andre, Christelle M; Ritter, Christian; Tomekpe, Kodjo; Ngoh Newilah, Gérard; Rogez, Hervé; Larondelle, Yvan

    2014-08-27

    This study aimed at understanding the contribution of the fruit physicochemical parameters to Musa sp. diversity and plantain ripening stages. A discriminant analysis was first performed on a collection of 35 Musa sp. cultivars, organized in six groups based on the consumption mode (dessert or cooking banana) and the genomic constitution. A principal component analysis reinforced by a logistic regression on plantain cultivars was proposed as an analytical approach to describe the plantain ripening stages. The results of the discriminant analysis showed that edible fraction, peel pH, pulp water content, and pulp total phenolics were among the most contributing attributes for the discrimination of the cultivar groups. With mean values ranging from 65.4 to 247.3 mg of gallic acid equivalents/100 g of fresh weight, the pulp total phenolics strongly differed between interspecific and monospecific cultivars within dessert and nonplantain cooking bananas. The results of the logistic regression revealed that the best models according to fitting parameters involved more than one physicochemical attribute. Interestingly, pulp and peel total phenolic contents contributed in the building up of these models.

  8. Endophytic bacterial diversity in banana 'Prata Anã' (Musa spp. roots

    Directory of Open Access Journals (Sweden)

    Suzane A. Souza

    2013-01-01

    Full Text Available The genetic diversity of endophytic bacteria in banana 'Prata Anã' roots was characterized. Two hundred and one endophytic bacteria were isolated, 151 of which were classified as Gram-positive and 50 as Gram-negative. No hypersensitivity response was observed in any of the isolates. The rep-PCR technique generated different molecular profiles for each primer set (REP, ERIC and BOX. Fifty readable loci were obtained and all of the fragments were polymorphic. Amplified ribosomal DNA restriction analysis (ARDRA of the isolates based on cleavage with four restriction enzymes yielded 45 polymorphic bands and no monomorphic bands. PCR amplified the nifH gene in 24 isolates. 16S rDNA sequencing of the 201 bacterial isolates yielded 102 high-quality sequences. Sequence analyses revealed that the isolates were distributed among ten bacterial genera (Agrobacterium, Aneurinibacillus, Bacillus, Enterobacter, Klebsiella, Lysinibacillus, Micrococcus, Paenibacillus, Rhizobium and Sporolactobacillus and included 15 species. The greatest number of isolates belonged to the genus Bacillus. The bacteria identified in this study may be involved in promoting growth, phosphate solubilization, biological control and nitrogen fixation in bananas.

  9. RESISTANT STARCH AND BIOACTIVE CONTENTS OF UNRIPE BANANA FLOUR AS INFLUENCED BY HARVESTING PERIODS AND ITS APPLICATION

    Directory of Open Access Journals (Sweden)

    Anuchita Moongngarm

    2014-01-01

    Full Text Available Recently, various innovative products from unripe banana flour have been reported as it is high in resistant starch and other important compounds. The harvesting period of the unripe banana fruit is one of the key factors affecting the quality of the unripe banana flour in terms of resistant starch and bioactive compound content. The study aimed to investigate the effect of the harvesting stages of unripe banana fruit on Resistant Starch (RS content, carotenoid content, antioxidant activity and the application of unripe banana flour to prepare high RS rice noodle. Four different harvesting stages of banana fruits of Musa sapientum Linn including 75, 90, 105 and 120 days after bloom, were processed for banana flours. The results indicated that the maturation stages affected RS, some bioactive contents, antioxidant activities. The highest RS content (48.88% of banana flour was obtained from the 105 day banana fruits. The total phenolic and carotenoid contents were high in the banana flours harvested between 75 and 105 days. The unripe banana flour could be substituted for rice flour as high as 80% and contained RS content as high as 18.64% whereas the commercial rice noodle had 4.21% of RS content. Therefore, the preparation of unripe banana flour from banana fruit harvested at 105 days and applying it in the preparation of functional food is promising.

  10. Bayesian Predictive Densities Based on Latent Information Priors

    OpenAIRE

    Komaki, Fumiyasu

    2010-01-01

    Construction methods for prior densities are investigated from a predictive viewpoint. Predictive densities for future observables are constructed by using observed data. The simultaneous distribution of future observables and observed data is assumed to belong to a parametric submodel of a multinomial model. Future observables and data are possibly dependent. The discrepancy of a predictive density to the true conditional density of future observables given observed data is evaluated by the ...

  11. Star-sensor-based predictive Kalman filter for satelliteattitude estimation

    Institute of Scientific and Technical Information of China (English)

    林玉荣; 邓正隆

    2002-01-01

    A real-time attitude estimation algorithm, namely the predictive Kalman filter, is presented. This algorithm can accurately estimate the three-axis attitude of a satellite using only star sensor measurements. The implementation of the filter includes two steps: first, predicting the torque modeling error, and then estimating the attitude. Simulation results indicate that the predictive Kalman filter provides robust performance in the presence of both significant errors in the assumed model and in the initial conditions.

  12. Protein Structure Prediction: Knowledge-based Approaches for Loop Prediction and Model Quality Assessment

    OpenAIRE

    Benkert, Pascal

    2007-01-01

    Knowledge of the three-dimensional structure of proteins is of vital importance for understanding their function and for the rational development of new drugs. Homology modelling is currently the most successful method for the prediction of the structure of a protein from its sequence. A structural model is thereby built by incorporating information from experimentally solved proteins showing an evolutionary relationship to the target protein. The accurate prediction of loop regions which fre...

  13. The temporal stability and predictive validity of affect-based and cognition-based intentions

    NARCIS (Netherlands)

    Keer, M.; Conner, M.; Putte, B. van den; Neijens, P.

    2014-01-01

    Recent research has revealed individual differences in the extent to which people base their intentions on affect and cognition. Two studies are presented that assess whether such differences predict the strength of individuals' intention-behaviour relationships. Participants completed measures of a

  14. Transgenic banana expressing Pflp gene confers enhanced resistance to Xanthomonas wilt disease.

    Science.gov (United States)

    Namukwaya, B; Tripathi, L; Tripathi, J N; Arinaitwe, G; Mukasa, S B; Tushemereirwe, W K

    2012-08-01

    Banana Xanthomonas wilt (BXW), caused by Xanthomonas campestris pv. musacearum, is one of the most important diseases of banana (Musa sp.) and currently considered as the biggest threat to banana production in Great Lakes region of East and Central Africa. The pathogen is highly contagious and its spread has endangered the livelihood of millions of farmers who rely on banana for food and income. The development of disease resistant banana cultivars remains a high priority since farmers are reluctant to employ labor-intensive disease control measures and there is no host plant resistance among banana cultivars. In this study, we demonstrate that BXW can be efficiently controlled using transgenic technology. Transgenic bananas expressing the plant ferredoxin-like protein (Pflp) gene under the regulation of the constitutive CaMV35S promoter were generated using embryogenic cell suspensions of banana. These transgenic lines were characterized by molecular analysis. After challenge with X. campestris pv. musacearum transgenic lines showed high resistance. About 67% of transgenic lines evaluated were completely resistant to BXW. These transgenic lines did not show any disease symptoms after artificial inoculation of in vitro plants under laboratory conditions as well as potted plants in the screen-house, whereas non-transgenic control plants showed severe symptoms resulting in complete wilting. This study confirms that expression of the Pflp gene in banana results in enhanced resistance to BXW. This transgenic technology can provide a timely solution to the BXW pandemic.

  15. Tobacco arabinogalactan protein NtEPc can promote banana (Musa AAA) somatic embryogenesis.

    Science.gov (United States)

    Shu, H; Xu, L; Li, Z; Li, J; Jin, Z; Chang, S

    2014-12-01

    Banana is an important tropical fruit worldwide. Parthenocarpy and female sterility made it impossible to improve banana varieties through common hybridization. Genetic transformation for banana improvement is imperative. But the low rate that banana embryogenic callus was induced made the transformation cannot be performed in many laboratories. Finding ways to promote banana somatic embryogenesis is critical for banana genetic transformation. After tobacco arabinogalactan protein gene NtEPc was transformed into Escherichia coli (DE3), the recombinant protein was purified and filter-sterilized. A series of the sterilized protein was added into tissue culture medium. It was found that the number of banana immature male flowers developing embryogenic calli increased significantly in the presence of NtEPc protein compared with the effect of the control medium. Among the treatments, explants cultured on medium containing 10 mg/l of NtEPc protein had the highest chance to develop embryogenic calli. The percentage of lines that developed embryogenic calli on this medium was about 12.5 %. These demonstrated that NtEPc protein can be used to promote banana embryogenesis. This is the first paper that reported that foreign arabinogalactan protein (AGP) could be used to improve banana somatic embryogenesis. PMID:25227688

  16. Compatibility of pedigree-based and marker-based relationships for single-step genomic prediction

    DEFF Research Database (Denmark)

    Christensen, Ole Fredslund

    2012-01-01

    -based relationship matrix and the pedigree-based relationship matrix. The compatibility issue involves which allele frequencies to use in the marker-based relationship matrix, and also that adjustments of this matrix to the pedigree-based relationship matrix are needed. In addition, it has been overlooked......Single-step methods for genomic prediction have recently become popular because they are conceptually simple and in practice such a method can completely replace a pedigree-based method for routine genetic evaluation. An issue with single-step methods is compatibility between the marker...... in the base population. Here, two ideas are explored. The first idea is to instead adjust the pedigree-based relationship matrix to be compatible to the marker-based relationship matrix, whereas the second idea is to include the likelihood for the observed markers. A single-step method is used where...

  17. Prediction of Silicon-Based Layered Structures for Optoelectronic Applications

    Science.gov (United States)

    Luo, Wei; Ma, Yanming; Gong, Xingao; Xiang, Hongjun; CCMG Team

    2015-03-01

    A method based on the particle swarm optimization (PSO) algorithm is presented to design quasi-two-dimensional (Q2D) materials. With this development, various single-layer and bi-layer materials in C, Si, Ge, Sn, and Pb were predicted. A new Si bi-layer structure is found to have a much-favored energy than the previously widely accepted configuration. Both single-layer and bi-layer Si materials have small band gaps, limiting their usages in optoelectronic applications. Hydrogenation has therefore been used to tune the electronic and optical properties of Si layers. We discover two hydrogenated materials of layered Si8H2andSi6H2 possessing quasi-direct band gaps of 0.75 eV and 1.59 eV, respectively. Their potential applications for light emitting diode and photovoltaics are proposed and discussed. Our study opened up the possibility of hydrogenated Si layered materials as next-generation optoelectronic devices.

  18. Forbush Decrease Prediction Based on Remote Solar Observations

    Science.gov (United States)

    Dumbović, M.; Vršnak, B.; Čalogović, J.

    2016-01-01

    We employ remote observations of coronal mass ejections (CMEs) and the associated solar flares to forecast the CME-related Forbush decreases, i.e. short-term depressions in the galactic cosmic-ray flux. The relation between the Forbush effect at Earth and remote observations of CMEs and associated solar flares is studied via a statistical analysis. Relations between Forbush decrease magnitude and several CME/flare parameters were found: the initial CME speed, apparent width, source position, associated solar-flare class, and the effect of successive-CME occurrence. Based on the statistical analysis, remote solar observations are employed to forecast a Forbush-decrease. For this purpose, an empirical probabilistic model is constructed that uses selected remote solar observations of the CME and associated solar flare as input and gives the expected Forbush-decrease magnitude range as output. The forecast method is evaluated using several verification measures, indicating that as the forecast tends to be more specific, it is less reliable, which is its main drawback. However, the advantages of the method are that it provides an early prediction and that the input does not necessarily depend on using a spacecraft.

  19. Coal Calorific Value Prediction Based on Projection Pursuit Principle

    Directory of Open Access Journals (Sweden)

    QI Minfang

    2012-10-01

    Full Text Available The calorific value of coal is an important factor for the economic operation of coal-fired power plant. However, calorific value is tremendous difference between the different coal, and even if coal is from the same mine. Restricted by the coal market, most of coal fired power plants can not burn the designed-coal by now in China. The properties of coal as received are changing so frequently that pulverized coal firing is always with the unexpected condition. Therefore, the researches on the prediction of calorific value of coal have a profound significance for the economic operation of power plants. Aiming at the problem of uncertainty of coal calorific value, establish a soft measurement model for calorific value of coal based on projection pursuit principle combined with genetic algorithm to optimize parameters, and support vector machine algorithm. It is shown by an example that the model has a stronger objectivity, effective and feasible for avoiding the disadvantage of the artificially decided weights of feature indexes. The model could provide a good guidance for the calculation of the coal calorific value and optimization operation of coal-fired power plants.  

  20. Recreating the Banana Grower: The Role of Private Certification Systems in the Windward Islands Banana Industry

    Directory of Open Access Journals (Sweden)

    Haakon Aasprong

    2012-12-01

    Full Text Available Private standards and certification schemes in agrifood networks tend to be de-scribed as neoliberal, suggesting that they share a common understanding of that which they seek to govern and the tools to be used. Although such certification systems do have many features in common, this article argues that much is to be learned by contrasting certification systems with regard to their ideational ground-ings. Through a historically grounded discussion of the adoption and implementa-tion of two certification systems – GLOBALGAP and Fairtrade – in the Wind-ward Islands banana industry, it is argued that there are important differences with regard to how the systems envision shared key concepts such as accountability, adaptability, professionalism and not least sustainability. These differences permeate the standards as well as their enforcement structures, demonstrating a flexibility in certification as governmental technology which is often overlooked. Moreover, the article explores how the certification systems’ governmental rationalities articulate with local understandings of the role of farmers and agriculture in the Windward Islands, arguing that the tension existing between the visions embedded in the systems mirrors a tension within these islands societies. This tension preceded the adoption of the certification systems and continues to influence their implementation today.

  1. Identification of Potential for Banana in Hainan Island, China

    Institute of Scientific and Technical Information of China (English)

    S. MANTEL; ZHANG XUELEI; ZHANG GANLIN

    2003-01-01

    Land use alternatives are sought to boost agricultural income and productivity in Hainan Island, China.Regional differences exist in crop limitations, such as typhoon risk, low temperatures, poor soil fertility, and drought. In this study a crop zonation was made for a range of crops, among which is banana, as a way to: 1)establish areas for potential expansion for banana, and 2) identify limitations and options for crop and land management. A spatial soil and terrain database of Hainan Island (1:250 000) was linked to the automated land evaluation system (ALES). The qualitative models were verified by comparing suitability maps with actual land use. The results may support policy formulation on issues such as alternatives to current land use, assessment of best management practices, and the need for fertilizer programmes.

  2. Fatty acid content and antioxidant activity of Thai bananas.

    Directory of Open Access Journals (Sweden)

    Jirawan Banditpuritat and Rungthip Kawaree

    2007-12-01

    Full Text Available The aril extracts of three Thai banana varieties, namely “Kluai Khai”(KK, “Kluai Namwa”(KN and “Kluai Hom”(KH were analyzed by gas chromatography and mass spectrometry (GC-MS. GC-MS data were used to identify 5 methyl esters of each banana extract after transesterification. The most prominent components found in KK, KN and KH were hexadecanoic acid methyl ester (43.17, 29.18, 30.57 % respectively, 9, 12, 15-octadecatrienoic acid methyl ester (35.93, 30.46, 39.68 % respectively, 9, 12-octadecadienoic acid methyl ester (14.35, 36.10, 21.82 % respectively, 9-hexadecanoic acid methyl ester (3.76, 3.34, 3.32 % respectively and octadecanoic acid methyl ester (2.79, 0.92, 4.60 % respectively. The antioxidant activity of the crude oils was evaluated using DPPH method.

  3. CHANGES OF BACKSCATTERING PARAMETERS DURING CHILLING INJURY IN BANANAS

    Directory of Open Access Journals (Sweden)

    NORHASHILA HASHIM

    2014-06-01

    Full Text Available The change in backscattering parameters during the appearance of chilling injury in bananas was investigated. Bananas were stored at a chilling temperature for two days and the degrees of the chilling injuries that appeared were measured before, during and after storage using backscattering imaging and visual assessment. Laser lights at 660 nm and 785 nm wavelengths were shot consecutively onto the samples in a dark room and a camera was used to capture the backscattered lights that appeared on the samples. The captured images were analysed and the changes of intensity against pixel count were plotted into graphs. The plotted graph provides useful information of backscattering parameters such as inflection point (IP, slope after inflection point (SA, and full width at half maximum (FWHM and saturation radius (RSAT. Results of statistical analysis indicated that there were significant changes of these backscattering parameters as chilling injury developed.

  4. 从a hand of bananas 说起

    Institute of Scientific and Technical Information of China (English)

    蒋飞洛

    2001-01-01

    @@ 英语怎么说“一串香蕉”?我们可以说a bunch of bananas,也可以说a handof bananas.但是,后者更趋形象生动.名词hand在此起双重作用,它既表示“串”(bunch),相当汉语“量词”,又含有一种巧妙的比喻,bananas为本体,而hand则成了喻体.类似a hand of bananas的表达在英语中不为鲜见.如hand这样起双重作用的名词可作以下分类.

  5. Predictive spectroscopy and chemical imaging based on novel optical systems

    Science.gov (United States)

    Nelson, Matthew Paul

    1998-10-01

    This thesis describes two futuristic optical systems designed to surpass contemporary spectroscopic methods for predictive spectroscopy and chemical imaging. These systems are advantageous to current techniques in a number of ways including lower cost, enhanced portability, shorter analysis time, and improved S/N. First, a novel optical approach to predicting chemical and physical properties based on principal component analysis (PCA) is proposed and evaluated. A regression vector produced by PCA is designed into the structure of a set of paired optical filters. Light passing through the paired filters produces an analog detector signal directly proportional to the chemical/physical property for which the regression vector was designed. Second, a novel optical system is described which takes a single-shot approach to chemical imaging with high spectroscopic resolution using a dimension-reduction fiber-optic array. Images are focused onto a two- dimensional matrix of optical fibers which are drawn into a linear distal array with specific ordering. The distal end is imaged with a spectrograph equipped with an ICCD camera for spectral analysis. Software is used to extract the spatial/spectral information contained in the ICCD images and deconvolute them into wave length-specific reconstructed images or position-specific spectra which span a multi-wavelength space. This thesis includes a description of the fabrication of two dimension-reduction arrays as well as an evaluation of the system for spatial and spectral resolution, throughput, image brightness, resolving power, depth of focus, and channel cross-talk. PCA is performed on the images by treating rows of the ICCD images as spectra and plotting the scores of each PC as a function of reconstruction position. In addition, iterative target transformation factor analysis (ITTFA) is performed on the spectroscopic images to generate ``true'' chemical maps of samples. Univariate zero-order images, univariate first

  6. Prediction of beta-turns at over 80% accuracy based on an ensemble of predicted secondary structures and multiple alignments

    Directory of Open Access Journals (Sweden)

    Kurgan Lukasz

    2008-10-01

    Full Text Available Abstract Background β-turn is a secondary protein structure type that plays significant role in protein folding, stability, and molecular recognition. To date, several methods for prediction of β-turns from protein sequences were developed, but they are characterized by relatively poor prediction quality. The novelty of the proposed sequence-based β-turn predictor stems from the usage of a window based information extracted from four predicted three-state secondary structures, which together with a selected set of position specific scoring matrix (PSSM values serve as an input to the support vector machine (SVM predictor. Results We show that (1 all four predicted secondary structures are useful; (2 the most useful information extracted from the predicted secondary structure includes the structure of the predicted residue, secondary structure content in a window around the predicted residue, and features that indicate whether the predicted residue is inside a secondary structure segment; (3 the PSSM values of Asn, Asp, Gly, Ile, Leu, Met, Pro, and Val were among the top ranked features, which corroborates with recent studies. The Asn, Asp, Gly, and Pro indicate potential β-turns, while the remaining four amino acids are useful to predict non-β-turns. Empirical evaluation using three nonredundant datasets shows favorable Qtotal, Qpredicted and MCC values when compared with over a dozen of modern competing methods. Our method is the first to break the 80% Qtotal barrier and achieves Qtotal = 80.9%, MCC = 0.47, and Qpredicted higher by over 6% when compared with the second best method. We use feature selection to reduce the dimensionality of the feature vector used as the input for the proposed prediction method. The applied feature set is smaller by 86, 62 and 37% when compared with the second and two third-best (with respect to MCC competing methods, respectively. Conclusion Experiments show that the proposed method constitutes an

  7. Model-based Purchase Predictions for Large Assortments

    NARCIS (Netherlands)

    B.J.D. Jacobs (Bruno); A.C.D. Donkers (Bas); D. Fok (Dennis)

    2016-01-01

    textabstractBeing able to accurately predict what a customer will purchase next is of paramount importance to successful online retailing. In practice, customer purchase history data is readily available to make such predictions, sometimes complemented with customer characteristics. Given the large

  8. Annotation-Based Whole Genomic Prediction and Selection

    DEFF Research Database (Denmark)

    Kadarmideen, Haja; Do, Duy Ngoc; Janss, Luc;

    in their contribution to estimated genomic variances and in prediction of genomic breeding values by applying SNP annotation approaches to feed efficiency. Ensembl Variant Predictor (EVP) and Pig QTL database were used as the source of genomic annotation for 60K chip. Genomic prediction was performed using the Bayes...... prove useful for less heritable traits such as diseases and fertility...

  9. Viscosity Prediction of Hydrocarbon Mixtures Based on the Friction Theory

    DEFF Research Database (Denmark)

    Zeberg-Mikkelsen, Claus Kjær; Cisneros, Sergio; Stenby, Erling Halfdan

    2001-01-01

    The application and capability of the friction theory (f-theory) for viscosity predictions of hydrocarbon fluids is further illustrated by predicting the viscosity of binary and ternary liquid mixtures composed of n-alkanes ranging from n-pentane to n-decane for wide ranges of temperature and from...

  10. Prediction of epitopes using neural network based methods

    DEFF Research Database (Denmark)

    Lundegaard, Claus; Lund, Ole; Nielsen, Morten

    2011-01-01

    In this paper, we describe the methodologies behind three different aspects of the NetMHC family for prediction of MHC class I binding, mainly to HLAs. We have updated the prediction servers, NetMHC-3.2, NetMHCpan-2.2, and a new consensus method, NetMHCcons, which, in their previous versions, hav...

  11. Enzyme activity in banana fruits rotted by Botryodiplodia theobromae Pat.

    OpenAIRE

    Nityananda Chakraborty; Balen Nandi

    2015-01-01

    Peroxidase and polyphenol oxidase activities in fruits of two cultivars of banana, 'champa' and 'kanthali' rotted by Botryodiplodia theobromae Pat. was studied. The enzymes showed much higher activities in infected than that in uninfected 'tissues. Increase in peroxidase activity was evidently inhibited by cycloheximide. Polyphenol oxidase activity was also inhibited in presence of phenylthiourea and Na-diethyldithiocarbamate more strongly by the former. Increase in activities seemed to be du...

  12. Holographic entanglement entropy for hollow cones and banana shaped regions

    Science.gov (United States)

    Dorn, Harald

    2016-06-01

    We consider banana shaped regions as examples of compact regions, whose boundary has two conical singularities. Their regularised holographic entropy is calculated with all divergent as well as finite terms. The coefficient of the squared logarithmic divergence, also in such a case with internally curved boundary, agrees with that calculated in the literature for infinite circular cones with their internally flat boundary. For the otherwise conformally invariant coefficient of the ordinary logarithmic divergence an anomaly under exceptional conformal transformations is observed.

  13. Analytic expression for poloidal flow velocity in the banana regime

    Energy Technology Data Exchange (ETDEWEB)

    Taguchi, M. [College of Industrial Technology, Nihon University, Narashino 275-8576 (Japan)

    2013-01-15

    The poloidal flow velocity in the banana regime is calculated by improving the l = 1 approximation for the Fokker-Planck collision operator [M. Taguchi, Plasma Phys. Controlled Fusion 30, 1897 (1988)]. The obtained analytic expression for this flow, which can be used for general axisymmetric toroidal plasmas, agrees quite well with the recently calculated numerical results by Parker and Catto [Plasma Phys. Controlled Fusion 54, 085011 (2012)] in the full range of aspect ratio.

  14. SHM-Based Probabilistic Fatigue Life Prediction for Bridges Based on FE Model Updating.

    Science.gov (United States)

    Lee, Young-Joo; Cho, Soojin

    2016-03-02

    Fatigue life prediction for a bridge should be based on the current condition of the bridge, and various sources of uncertainty, such as material properties, anticipated vehicle loads and environmental conditions, make the prediction very challenging. This paper presents a new approach for probabilistic fatigue life prediction for bridges using finite element (FE) model updating based on structural health monitoring (SHM) data. Recently, various types of SHM systems have been used to monitor and evaluate the long-term structural performance of bridges. For example, SHM data can be used to estimate the degradation of an in-service bridge, which makes it possible to update the initial FE model. The proposed method consists of three steps: (1) identifying the modal properties of a bridge, such as mode shapes and natural frequencies, based on the ambient vibration under passing vehicles; (2) updating the structural parameters of an initial FE model using the identified modal properties; and (3) predicting the probabilistic fatigue life using the updated FE model. The proposed method is demonstrated by application to a numerical model of a bridge, and the impact of FE model updating on the bridge fatigue life is discussed.

  15. Prediction

    CERN Document Server

    Sornette, Didier

    2010-01-01

    This chapter first presents a rather personal view of some different aspects of predictability, going in crescendo from simple linear systems to high-dimensional nonlinear systems with stochastic forcing, which exhibit emergent properties such as phase transitions and regime shifts. Then, a detailed correspondence between the phenomenology of earthquakes, financial crashes and epileptic seizures is offered. The presented statistical evidence provides the substance of a general phase diagram for understanding the many facets of the spatio-temporal organization of these systems. A key insight is to organize the evidence and mechanisms in terms of two summarizing measures: (i) amplitude of disorder or heterogeneity in the system and (ii) level of coupling or interaction strength among the system's components. On the basis of the recently identified remarkable correspondence between earthquakes and seizures, we present detailed information on a class of stochastic point processes that has been found to be particu...

  16. 香蕉产地初加工技术分类及集成%Classification, integration of preliminary processing technology in banana producing areas of China

    Institute of Scientific and Technical Information of China (English)

    徐贞贞; 孙洁; 赵靓; 沈瑾; 朱明; 廖小军

    2015-01-01

    Banana is the worldwide 2nd fruit with the biggest trade,it is also the only one of top five fruits with trade deficit compared with the other four, like apple, citrus, pear and peach, having great contributions to fruits export business in China. The import quantity of banana is continuing to rise even as the increasing production recent years, meanwhile the loss of banana in its producing area is approaching one million, almost two times of its export quantity in China, which suggests that loss reduction will contribute to shrink the trade deficit. Based on the statistics, more than 700 projects about banana research were approved by the Chinese governments and almost 500 scientific research institutions and universities were involved. However, few of them were about loss reduction in producing areas. Further researches about the exiting preliminary processing technologies may reduce banana loss in its producing area, then trying a new way to break through the bottleneck problem of banana industries and improve banana industry in China. This study has collected all harvesting, plantation transportation, commercialization, storage and transport technologies used currently in banana producing area, do further classification for all those preliminary processing technologies, and integrated four principal technology chains, then gave more information about the current Chinese banana production industry. Compared with other well-developed banana producers in the world, the gaps about large-scale production, market internationalization, technology integration, equipment serialization, facilities supporting and logistics professionalization of Chinese banana production industry are still obvious, which directly induced Chinese banana products showing no international competitiveness, no high-end brands, and only sharing the lower and middle markets. However, large-scale banana plantations are not fully accords with the retails-dominated condition in China, and it is

  17. Seleção de híbridos diplóides (AA de bananeira com base em três índices não paramétricos Selection of (AA diploid banana hybrids using three non-parametric indices

    Directory of Open Access Journals (Sweden)

    Lauro Saraiva Lessa

    2010-01-01

    Full Text Available Objetivou-se selecionar híbridos diplóides (AA de bananeira com base em três índices não paramétricos, a fim de orientar a seleção e aumentar o aproveitamento da variabilidade existente no Banco de Germoplasma de Bananeira da Embrapa Mandioca e Fruticultura Tropical. Foram avaliados 11 híbridos, no delineamento de blocos ao acaso, com quatro repetições. As parcelas constituíram-se de seis plantas, espaçadas de 2,5 m x 2,5 m, tendo na bordadura plantas da cultivar Pacovan. Tomaram-se dados dos seguintes caracteres: altura da planta, diâmetro do pseudocaule, número de filhos na floração, número de folhas na floração, ciclo da planta do plantio à emissão do cacho, presença de pólen, número de pencas, número de frutos, comprimento do fruto e resistência à Sigatoka-amarela. As médias desses 10 caracteres foram empregadas no cálculo dos índices multiplicativos, de soma de classificação e da distância genótipo-ideótipo. Os dois híbridos de melhor desempenho geral, o SH3263 e o 1318-01, foram classificados, respectivamente, em primeiro e segundo lugares pelos índices multiplicativos e de soma de classificação, enquanto o índice da distância genótipo-ideótipo os classificou em primeiro e quarto lugares respectivamente. Embora os três índices tenham demonstrado uma boa correspondência entre o desempenho geral dos híbridos e a sua classificação, os índices multiplicativo e de soma de classificação propiciaram classificação mais adequada desses híbridos.The objective of the present study was to select diploids (AA hybrids of banana based on three non-parametric indices as to guide the selection and increase the use of the variability present in the Banana Germplasm Bank of Embrapa Cassava and Tropical Fruits. Eleven hybrids were evaluated in random blocks with four replicates. The plots consisted of six plants spaced 2.5 m x 2.5 m whereas the border rows were from the Pacovan cultivar. The following

  18. The use of aggregation pheromone to enhance dissemination of Beauveria bassiana for the control of the banana weevil in Uganda

    NARCIS (Netherlands)

    Tinzaara, W.; Gold, C.S.; Dicke, M.; Huis, van A.; Nankinga, C.M.; Kagezi, G.H.; Ragama, P.E.

    2007-01-01

    Candidate strains of Beauveria bassiana were identified for use in integrated pest management of the banana weevil Cosmopolites sordidus. Horizontal field transmission of B. bassiana between banana weevils using different delivery systems, including aggregation pheromones, was investigated. We obser

  19. Toxicity profile of commercially produced indigenous banana beer.

    Science.gov (United States)

    Shale, K; Mukamugema, J; Lues, R J; Venter, P

    2012-08-01

    Mycotoxins, together with endotoxins, represent important classes of naturally occurring contaminants in food products, posing significant health risks to consumers. The aim of this study is to investigate the occurrence of both Fusarium mycotoxins and endotoxins in commercially produced traditional banana beer. Two brands of commercially produced traditional banana beer were collected from a local retail market in Kigali, Rwanda. Beer samples were analysed for the presence of deoxynivalenol (DON), fumonisin B₁ and zearalenone (ZEA), using an enzyme-linked immuno-sorbent assay (ELISA) method. The quantification of bacterial endotoxin using Limulus amoeboecyte lysate (LAL) assay was also conducted. The contamination levels were 20 and 6.7 µg kg⁻¹ for DON; 34 and 31.3 µg kg⁻¹ for FB₁; 0.66 and 2.2 µg kg⁻¹ for ZEA in brands A and B of the beers, respectively. Results indicate that the levels of Fusarium toxins and bacterial endotoxin reported in this study did not pose adverse human health effects as a result of drinking/consuming banana beer. However, exposure to low/sub-threshold doses or non-toxic levels of endotoxins magnifies the toxic effect of xenobiotic agents (e.g. fungal toxins) on liver and other target organs. Considering Fusarium toxins and/or endotoxin contamination levels in other agricultural commodities intended for human consumption, health risks might be high and the condition is aggravated when beer is contaminated by mixtures of the mycotoxins, as indicated in this study.

  20. Application of Nonlinear Predictive Control Based on RBF Network Predictive Model in MCFC Plant

    Institute of Scientific and Technical Information of China (English)

    CHEN Yue-hua; CAO Guang-yi; ZHU Xin-jian

    2007-01-01

    This paper described a nonlinear model predictive controller for regulating a molten carbonate fuel cell (MCFC). A detailed mechanism model of output voltage of a MCFC was presented at first. However, this model was too complicated to be used in a control system. Consequently, an off line radial basis function (RBF) network was introduced to build a nonlinear predictive model. And then, the optimal control sequences were obtained by applying golden mean method. The models and controller have been realized in the MATLAB environment. Simulation results indicate the proposed algorithm exhibits satisfying control effect even when the current densities vary largely.

  1. Pós colheita de bananas-maçã submetidas ao 1-MCP e armazenadas á temperatura ambiente Postharvest of 'apple' banana submetted to 1-MCP and storage in room temperature

    Directory of Open Access Journals (Sweden)

    Ana Carla Marque Pinheiro

    2006-04-01

    Full Text Available Bananas da cultivar Maçã foram adquiridas no estádio dois de coloração da casca (verde maturos e submetidas à ação de 1-MCP. O 1-MCP foi aplicado por 12 horas nas seguintes concentrações: 0 (controle, 50, 100, 150, 200 hL.L-1. Após aplicação, os frutos foram armazenados à temperatura ambiente (temperatura média 20ºC ± 1 e umidade relativa 80% ± 5 e avaliados à medida que atingiam os graus 3, 5 e 7 de coloração da casca. O tratamento com 1-MCP atrasou o início do amadurecimento de bananas-maçã armazenadas sob temperatura ambiente, baseado nas primeiras mudanças de coloração da casca. A aplicação de 1-MCP em bananas-maçã, ditou maiores valores de perda de massa e relação polpa/casca (nos graus 5 e 7 de coloração da casca. O 1-MCP, nas doses 100, 150 e 200 hL.L-1 de 1-MCP promoveu desverdecimento desuniforme e tonalidade avermelhada na casca. O tratamento 50 hL.L-1 de 1-MCP é o mais adequado, por promover a extensão da vida pós-colheita de bananas-maçã da cultivar armazenadas sob temperatura ambiente sem afetar a coloração da casca dos frutos, apresentando qualidade, baseando-se na cor da casca, firmeza, acidez titulável, pH e sólidos solúveis, semelhante ao controle.Mature green 'Apple' bananas were submitted to five concentrations of 1-MCP (0, 50, 100, 150 and 200 hL.L-1 for 12 hours. After treatment, the fruits were stored at room temperature (20ºC ± 1 and 80% ± 5 RH and analyzed at 3,5 and 7 color degree of peel. The treatment with 1-MCP delayed the start of the ripening based in the first changes of peel color. The treatment of 'Apple' bananas with 1-MCP promoted higher values of mass loss and pulp/peel ratio (5 and 7 degrees of color peel. The fruits treated with 100, 150 and 200 nL.L-1 of 1-MCP showed heterogeneous degreening and development of red color on the peel. 1-MCP at 50 nL.L-1 was the most appropriated treatment for promoting the extension of postharvest life of 'Apple' bananas stored

  2. STUDY ON GIS BASED PREDICTION SYSTEM FOR RADIO WAVE PROPAGATION IN URBAN REGION

    Institute of Scientific and Technical Information of China (English)

    Lai Jin; Huang Chang; Zhu Shouzheng

    2002-01-01

    In this letter, an integrated application of the prediction for radio wave propagation with the Geographic Information System (GIS) is presented and a real prediction system based on GIS is implemented.

  3. The effect of ligand-based tautomer and protomer prediction on structure-based virtual screening.

    Science.gov (United States)

    Kalliokoski, Tuomo; Salo, Heikki S; Lahtela-Kakkonen, Maija; Poso, Antti

    2009-12-01

    As tautomerism and ionization may significantly change the interaction possibilities between a ligand and a target protein, these phenomena could have an effect on structure-based virtual screening. Tautomeric- and protonation-state enumeration ensures that the state with optimal interaction possibilities is included in the screening process, as the predicted state may not always be the optimal binder. However, there is very little information published if tautomer and protomer enumeration actually improves the enrichment of active molecules compared to the alternative of using a predicted form of each molecule. In this study, a retrospective virtual screening was performed using AutoDock on 19 drug targets with a publicly available data set. It is proposed that tautomer and protomer prediction can significantly save computing resources and can yield similar results to enumeration. PMID:19928753

  4. Wavelet Neural Network Based Traffic Prediction for Next Generation Network

    Institute of Scientific and Technical Information of China (English)

    Zhao Qigang; Li Qunzhan; He Zhengyou

    2005-01-01

    By using netflow traffic collecting technology, some traffic data for analysis are collected from a next generation network (NGN) operator. To build a wavelet basis neural network (NN), the Sigmoid function is replaced with the wavelet in NN. Then the wavelet multiresolution analysis method is used to decompose the traffic signal, and the decomposed component sequences are employed to train the NN. By using the methods, an NGN traffic prediction model is built to predict one day's traffic. The experimental results show that the traffic prediction method of wavelet NN is more accurate than that without using wavelet in the NGN traffic forecasting.

  5. On-time clinical phenotype prediction based on narrative reports

    Science.gov (United States)

    Bejan, Cosmin A.; Vanderwende, Lucy; Evans, Heather L.; Wurfel, Mark M.; Yetisgen-Yildiz, Meliha

    2013-01-01

    In this paper we describe a natural language processing system which is able to predict whether or not a patient exhibits a specific phenotype using the information extracted from the narrative reports associated with the patient. Furthermore, the phenotypic annotations from our report dataset were performed at the report level which allows us to perform the prediction of the clinical phenotype at any point in time during the patient hospitalization period. Our experiments indicate that an important factor in achieving better results for this problem is to determine how much information to extract from the patient reports in the time interval between the patient admission time and the current prediction time. PMID:24551325

  6. Action prediction based on anticipatory brain potentials during simulated driving

    Science.gov (United States)

    Khaliliardali, Zahra; Chavarriaga, Ricardo; Gheorghe, Lucian Andrei; Millán, José del R.

    2015-12-01

    Objective. The ability of an automobile to infer the driver’s upcoming actions directly from neural signals could enrich the interaction of the car with its driver. Intelligent vehicles fitted with an on-board brain-computer interface able to decode the driver’s intentions can use this information to improve the driving experience. In this study we investigate the neural signatures of anticipation of specific actions, namely braking and accelerating. Approach. We investigated anticipatory slow cortical potentials in electroencephalogram recorded from 18 healthy participants in a driving simulator using a variant of the contingent negative variation (CNV) paradigm with Go and No-go conditions: count-down numbers followed by ‘Start’/‘Stop’ cue. We report decoding performance before the action onset using a quadratic discriminant analysis classifier based on temporal features. Main results. (i) Despite the visual and driving related cognitive distractions, we show the presence of anticipatory event related potentials locked to the stimuli onset similar to the widely reported CNV signal (with an average peak value of -8 μV at electrode Cz). (ii) We demonstrate the discrimination between cases requiring to perform an action upon imperative subsequent stimulus (Go condition, e.g. a ‘Red’ traffic light) versus events that do not require such action (No-go condition; e.g. a ‘Yellow’ light); with an average single trial classification performance of 0.83 ± 0.13 for braking and 0.79 ± 0.12 for accelerating (area under the curve). (iii) We show that the centro-medial anticipatory potentials are observed as early as 320 ± 200 ms before the action with a detection rate of 0.77 ± 0.12 in offline analysis. Significance. We show for the first time the feasibility of predicting the driver’s intention through decoding anticipatory related potentials during simulated car driving with high recognition rates.

  7. High Precision Prediction of Rolling Force Based on Fuzzy and Nerve Method for Cold Tandem Mill

    Institute of Scientific and Technical Information of China (English)

    JIA Chun-yu; SHAN Xiu-ying; NIU Zhao-ping

    2008-01-01

    The rolling force model for cold tandem mill was put forward by using the Elman dynamic recursive network method, based on the actual measured data. Furthermore, a good assumption is put forward, which brings a full universe of discourse self-adjusting factor fuzzy control, closed-loop adjusting, based on error feedback and expertise into a rolling force prediction model, to modify prediction outputs and improve prediction precision and robustness. The simulated results indicate that the method is highly effective and the prediction precision is better than that of the traditional method. Predicted relative error is less than ±4%, so the prediction is high precise for the cold tandem mill.

  8. Cooking Banana Consumption Patterns in the Plantain-growing Area of Southeastern Nigeria

    Directory of Open Access Journals (Sweden)

    Tshiunza, M.

    2001-01-01

    Full Text Available Cooking bananas (Musa spp., ABB genome were intro-duced into Southeastern Nigeria by the International Institute of Tropical Agriculture (IITA in the mid-1980s as an interim measure to reduce the incidence of black sigatoka disease (caused by the fungus Mycosphaerel-la fijiensis Morelet on plantain. However, the people of this region were not familiar with their utilisation methods. To address this lack of the knowledge and thereby sustain cooking banana cultivation, IITA, in collaboration with the Shell Petroleum Development Company (SPDC and the Nigeria Agip OU Company (NAOC commenced a training campaign on cooking banana processing methods. This study examined the patterns of utilisation of cooking bananas ten years after the training took place and compared them with plantain. About 95 % of the households interviewed are consuming cooking banana, indicating a broad acceptance of the crop in the region. Overall, two ripening stages termed green and ripe are the most popular ripening stages for the consumption of both plantain and cooking banana, followed by partially ripe maturity stage. The most common forms of consumption for green plantain are, in decreasing order of importance, pottage, boiled, roasted, and fried. Green cooking banana is also mostly eaten in pottage and boiled forms, and less frequently in fried and pounded forms. Ripe plantain is mostly eaten in fried and pottage forms, while ripe cooking banana is mostly eaten in fried and raw forms. Partially ripe plantain is mostly eaten in pottage, fried, boiled, and roasted forms, while partially ripe cooking banana is eaten in fried, pottage and boiled forms. These results indicate that the consumption patterns of plantain and cooking banana are very similar. This similarity has greatly contributed to the rapid integration of cooking banana within the existing plantain consumption and cropping systems.

  9. RESISTANT STARCH AND BIOACTIVE CONTENTS OF UNRIPE BANANA FLOUR AS INFLUENCED BY HARVESTING PERIODS AND ITS APPLICATION

    OpenAIRE

    Anuchita Moongngarm; Wanassanun Tiboonbun; Mai Sanpong; Pimpila Sriwong; Laongdao Phiewtong; Rattanapon Prakitrum; Nattipon Huychan

    2014-01-01

    Recently, various innovative products from unripe banana flour have been reported as it is high in resistant starch and other important compounds. The harvesting period of the unripe banana fruit is one of the key factors affecting the quality of the unripe banana flour in terms of resistant starch and bioactive compound content. The study aimed to investigate the effect of the harvesting stages of unripe banana fruit on Resistant Starch (RS) content, carotenoid content, antioxidant activity ...

  10. Physicochemical Properties and Nutritional Compositions of Foamed Banana Powders (Pisang Awak, Musa sapientum L.) Dehydrated by Various Drying Methods

    OpenAIRE

    Phisut NAKNAEN; Phantipha CHAROENTHAIKIJ; Paramaporn KERDSUP

    2016-01-01

    The objective of this research was to evaluate the physicochemical properties and nutritional compositions of foamed banana powders, as affected by various drying methods. The foaming process of banana puree was undertaken by using whey protein concentrate (5 %) as a foaming agent. After that, the banana foam was dehydrated by various drying methods, including hot air drying, vacuum drying, and freeze drying. Unfoamed banana puree dried by hot air drying was used as the control treatment. All...

  11. Predictability of Shanghai Stock Market by Agent-based Mix-game Model

    CERN Document Server

    Gou, C

    2005-01-01

    This paper reports the effort of using agent-based mix-game model to predict financial time series. It introduces the prediction methodology by means of mix-game model and gives an example of its application to forecasting Shanghai Index. The results show that this prediction methodology is effective and agent-based mix-game model is a potential good model to predict time series of financial markets.

  12. An Efficient Deterministic Approach to Model-based Prediction Uncertainty

    Data.gov (United States)

    National Aeronautics and Space Administration — Prognostics deals with the prediction of the end of life (EOL) of a system. EOL is a random variable, due to the presence of process noise and uncertainty in the...

  13. Recurrent neural networks-based multivariable system PID predictive control

    Institute of Scientific and Technical Information of China (English)

    ZHANG Yan; WANG Fanzhen; SONG Ying; CHEN Zengqiang; YUAN Zhuzhi

    2007-01-01

    A nonlinear proportion integration differentiation (PID) controller is proposed on the basis of recurrent neural networks,due to the difficulty of tuning the parameters of conventional PID controller.In the control process of nonlinear multivariable system,a decoupling controller was constructed,which took advantage of multi-nonlinear PID controllers in parallel.With the idea of predictive control,two multivariable predictive control strategies were established.One strategy involved the use of the general minimum variance control function on the basis of recursive multi-step predictive method.The other involved the adoption of multistep predictive cost energy to train the weights of the decoupling controller.Simulation studies have shown the efficiency of these strategies.

  14. Grammar-based feature generation for time-series prediction

    CERN Document Server

    De Silva, Anthony Mihirana

    2015-01-01

    This book proposes a novel approach for time-series prediction using machine learning techniques with automatic feature generation. Application of machine learning techniques to predict time-series continues to attract considerable attention due to the difficulty of the prediction problems compounded by the non-linear and non-stationary nature of the real world time-series. The performance of machine learning techniques, among other things, depends on suitable engineering of features. This book proposes a systematic way for generating suitable features using context-free grammar. A number of feature selection criteria are investigated and a hybrid feature generation and selection algorithm using grammatical evolution is proposed. The book contains graphical illustrations to explain the feature generation process. The proposed approaches are demonstrated by predicting the closing price of major stock market indices, peak electricity load and net hourly foreign exchange client trade volume. The proposed method ...

  15. Sequence- and structure-based prediction of eukaryotic proteinphosphorylation sites

    DEFF Research Database (Denmark)

    Blom, Nikolaj; Gammeltoft, Steen; Brunak, Søren

    1999-01-01

    Protein phosphorylation at serine, threonine or tyrosine residues affects a multitude of cellular signaling processes. Howis specificity in substrate recognition and phosphorylation by protein kinases achieved? Here, we present an artificialneural network method that predicts phosphorylation site...

  16. Risk zoning of cold damage to banana in Hainan Island%海南岛香蕉寒害风险区划

    Institute of Scientific and Technical Information of China (English)

    邹海平; 王春乙; 张京红; 蔡大鑫; 刘少军; 车秀芬

    2013-01-01

    依据自然灾害风险分析理论和海南岛历年气候、DEM、耕地面积、香蕉种植面积和产量资料,借助GIS技术,对海南岛香蕉寒害的致灾因子危险性、孕灾环境敏感性、易损性和防寒抗灾能力进行了分析和区划,在此基础上建立了综合的香蕉寒害风险指数,并将该指数应用于海南岛香蕉寒害的风险区划.结果表明,海南岛中部为香蕉寒害高和次高风险区,东部和南部为香蕉寒害次低和低风险区,其余地区为中等风险区.%Based on risk analysis theory of natural disasters and data of climate,DEM,cultivated area,banana planting area and yield of Hainan Island over years and GIS technology,the hazard of disaster-causing factors,sensitivity of disaster-pregnant environments and vulnerability and disaster prevention ability against cold damage to banana in Hainan Island were analyzed and zoned.Furthermore,a comprehensive risk index model of cold damage to banana was constructed to divide the risk zone of cold damage to banana in Hainan Island.Results show that the highest and second-highest risk zones of cold damage to banana are located in the middle areas of Hainan Island,while the lowest and second-lowest risk zones are located in the eastern and southern areas.

  17. Accurate Multisteps Traffic Flow Prediction Based on SVM

    OpenAIRE

    Zhang Mingheng; Zhen Yaobao; Hui Ganglong; Chen Gang

    2013-01-01

    Accurate traffic flow prediction is prerequisite and important for realizing intelligent traffic control and guidance, and it is also the objective requirement for intelligent traffic management. Due to the strong nonlinear, stochastic, time-varying characteristics of urban transport system, artificial intelligence methods such as support vector machine (SVM) are now receiving more and more attentions in this research field. Compared with the traditional single-step prediction method, the mul...

  18. SVM-based prediction of caspase substrate cleavage sites

    OpenAIRE

    Wee, Lawrence JK; Tan, Tin Wee; Ranganathan, Shoba

    2006-01-01

    Background Caspases belong to a class of cysteine proteases which function as critical effectors in apoptosis and inflammation by cleaving substrates immediately after unique sites. Prediction of such cleavage sites will complement structural and functional studies on substrates cleavage as well as discovery of new substrates. Recently, different computational methods have been developed to predict the cleavage sites of caspase substrates with varying degrees of success. As the support vector...

  19. Pectinase production by Aspergillus niger using banana (Musa balbisiana) peel as substrate and its effect on clarification of banana juice.

    Science.gov (United States)

    Barman, Sumi; Sit, Nandan; Badwaik, Laxmikant S; Deka, Sankar C

    2015-06-01

    Optimization of substrate concentration, time of incubation and temperature for crude pectinase production from A. niger was carried out using Bhimkol banana (Musa balbisiana) peel as substrate. The crude pectinase produced was partially purified using ethanol and effectiveness of crude and partially purified pectinase was studied for banana juice clarification. The optimum substrate concentration, incubation time and temperature of incubation were 8.07 %, 65.82 h and 32.37 °C respectively, and the polygalacturonase (PG) activity achieved was 6.6 U/ml for crude pectinase. The partially purified enzyme showed more than 3 times of polygalacturonase activity as compared to the crude enzyme. The SDS-PAGE profile showed that the molecular weight of proteins present in the different pectinases varied from 34 to 42 kDa. The study further revealed that highest clarification was achieved when raw banana juice was incubated for 60 min with 2 % concentration of partially purified pectinase and the absorbance obtained was 0.10.

  20. Evidence for the presence of a female produced sex pheromone in the banana weevil, Cosmopolites sordidus Germar (Coleoptera: Curculionidae)

    Science.gov (United States)

    Behavior-modifying chemicals such as pheromones and kairomones have great potential in pest management. Studies reported here investigated chemical cues involved in mating and aggregation behavior of banana weevil, Cosmopolites sordidus, a major insect pest of banana in every country where bananas a...

  1. "The Rotten Banana" Fires Back: The Story of a Danish Discourse of "Inclusive" Rurality in the Making

    Science.gov (United States)

    Winther, Malene Brandt; Svendsen, Gunnar Lind Haase

    2012-01-01

    The popularity of a particular term--the Rotten Banana--has paralleled the one-sided centralisation of public services since the Danish Municipal Reform of 2007. The Rotten Banana denotes peripheral Denmark, which takes a geographically curved form that resembles a banana, and it symbolises the belief that rural areas are backward and (too)…

  2. Benefits, Costs, and Consumer Perceptions of the Potential Introduction of a Fungus-Resistant Banana in Uganda and Policy Implications

    NARCIS (Netherlands)

    Kikulwe, E.M.; Birol, E.; Wesseler, J.H.H.; Falck-Zepeda, J.

    2013-01-01

    Banana is a staple crop in Uganda. Ugandans have the highest per capita consumption of cooking bananas in the world (Clarke 2003). However, banana production in Uganda is limited by several productivity constraints, such as insects, diseases, soil depletion, and poor agronomic practices. To address

  3. SVM with Quadratic Polynomial Kernel Function Based Nonlinear Model One-step-ahead Predictive Control

    Institute of Scientific and Technical Information of China (English)

    钟伟民; 何国龙; 皮道映; 孙优贤

    2005-01-01

    A support vector machine (SVM) with quadratic polynomial kernel function based nonlinear model one-step-ahead predictive controller is presented. The SVM based predictive model is established with black-box identification method. By solving a cubic equation in the feature space, an explicit predictive control law is obtained through the predictive control mechanism. The effect of controller is demonstrated on a recognized benchmark problem and on the control of continuous-stirred tank reactor (CSTR). Simulation results show that SVM with quadratic polynomial kernel function based predictive controller can be well applied to nonlinear systems, with good performance in following reference trajectory as well as in disturbance-rejection.

  4. From crossbreeding to biotechnology-facilitated improvement of banana and plantain.

    Science.gov (United States)

    Ortiz, Rodomiro; Swennen, Rony

    2014-01-01

    The annual harvest of banana and plantain (Musa spp.) is approximately 145 million tons worldwide. About 85% of this global production comes from small plots and kitchen or backyard gardens from the developing world, and only 15% goes to the export trade. Musa acuminata and Musa balbisiana are the ancestors of several hundreds of parthenocarpic Musa diploid and polyploid cultivars, which show multiple origins through inter- and intra-specific hybridizations from these two wild diploid species. Generating hybrids combining host plant resistance to pathogens and pests, short growth cycles and height, high fruit yield, parthenocarpy, and desired quality from the cultivars remains a challenge for Musa crossbreeding, which started about one century ago in Trinidad. The success of Musa crossbreeding depends on the production of true hybrid seeds in a crop known for its high levels of female sterility, particularly among polyploid cultivars. All banana export cultivars grown today are, however, selections from somatic mutants of the group Cavendish and have a very narrow genetic base, while smallholders in sub-Saharan Africa, tropical Asia and Latin America use some bred-hybrids (mostly cooking types). Musa improvement goals need to shift to address emerging threats because of the changing climate. Innovative cell and molecular biology tools have the potential to enhance the pace and efficiency of genetic improvement in Musa. Micro-propagation has been successful for high throughput of clean planting materials while in vitro seed germination assists in obtaining seedlings after inter-specific and across ploidy hybridization. Flow cytometry protocols are used for checking ploidy among genebank accessions and breeding materials. DNA markers, the genetic maps based on them, and the recent sequencing of the banana genome offer means for gaining more insights in the genetics of the crops and to identifying genes that could lead to accelerating Musa betterment. Likewise, DNA

  5. From crossbreeding to biotechnology-facilitated improvement of banana and plantain.

    Science.gov (United States)

    Ortiz, Rodomiro; Swennen, Rony

    2014-01-01

    The annual harvest of banana and plantain (Musa spp.) is approximately 145 million tons worldwide. About 85% of this global production comes from small plots and kitchen or backyard gardens from the developing world, and only 15% goes to the export trade. Musa acuminata and Musa balbisiana are the ancestors of several hundreds of parthenocarpic Musa diploid and polyploid cultivars, which show multiple origins through inter- and intra-specific hybridizations from these two wild diploid species. Generating hybrids combining host plant resistance to pathogens and pests, short growth cycles and height, high fruit yield, parthenocarpy, and desired quality from the cultivars remains a challenge for Musa crossbreeding, which started about one century ago in Trinidad. The success of Musa crossbreeding depends on the production of true hybrid seeds in a crop known for its high levels of female sterility, particularly among polyploid cultivars. All banana export cultivars grown today are, however, selections from somatic mutants of the group Cavendish and have a very narrow genetic base, while smallholders in sub-Saharan Africa, tropical Asia and Latin America use some bred-hybrids (mostly cooking types). Musa improvement goals need to shift to address emerging threats because of the changing climate. Innovative cell and molecular biology tools have the potential to enhance the pace and efficiency of genetic improvement in Musa. Micro-propagation has been successful for high throughput of clean planting materials while in vitro seed germination assists in obtaining seedlings after inter-specific and across ploidy hybridization. Flow cytometry protocols are used for checking ploidy among genebank accessions and breeding materials. DNA markers, the genetic maps based on them, and the recent sequencing of the banana genome offer means for gaining more insights in the genetics of the crops and to identifying genes that could lead to accelerating Musa betterment. Likewise, DNA

  6. Embryo quality predictive models based on cumulus cells gene expression

    Directory of Open Access Journals (Sweden)

    Devjak R

    2016-07-01

    Full Text Available Since the introduction of in vitro fertilization (IVF in clinical practice of infertility treatment, the indicators for high quality embryos were investigated. Cumulus cells (CC have a specific gene expression profile according to the developmental potential of the oocyte they are surrounding, and therefore, specific gene expression could be used as a biomarker. The aim of our study was to combine more than one biomarker to observe improvement in prediction value of embryo development. In this study, 58 CC samples from 17 IVF patients were analyzed. This study was approved by the Republic of Slovenia National Medical Ethics Committee. Gene expression analysis [quantitative real time polymerase chain reaction (qPCR] for five genes, analyzed according to embryo quality level, was performed. Two prediction models were tested for embryo quality prediction: a binary logistic and a decision tree model. As the main outcome, gene expression levels for five genes were taken and the area under the curve (AUC for two prediction models were calculated. Among tested genes, AMHR2 and LIF showed significant expression difference between high quality and low quality embryos. These two genes were used for the construction of two prediction models: the binary logistic model yielded an AUC of 0.72 ± 0.08 and the decision tree model yielded an AUC of 0.73 ± 0.03. Two different prediction models yielded similar predictive power to differentiate high and low quality embryos. In terms of eventual clinical decision making, the decision tree model resulted in easy-to-interpret rules that are highly applicable in clinical practice.

  7. Prediction of solar cycle based on the invariant

    Institute of Scientific and Technical Information of China (English)

    LIU Shijun; YU Xiaoding; CHEN Yongyi

    2003-01-01

    A new method of predicting solar activities has been introduced in this paper. The method can predict both the occurrence time and the maximum number of sunspot at the same time. By studying the variation of sunspot, we find that the combination of the several variables was nearly invariable during the entire solar cycles, as called invariant. And just only by determining the start time of a cycle, we can predict the occurrence time of cycle's peak value accurately. Furthermore, according to observational data of the sunspot cycles, it showed that the sunspot maximum number has correlation not only with the prophase variety of the number in the cycle but also with the anaphase of the previous period. So we can introduce an equivalent regression coefficient, which can dynamically self-adapt to different cycle lengths, and effectively solve the inconsistency between the accuracy and the lead-time of the forecast. It can guarantee the satisfied accuracy and effectively increases the lead-time of the forecast. This method can predict the maximum sunspot number for solar cycle at the approximate half rise of the period. This method predicts that the occurrence time of the maximum sunspot number for cycle 24 will be in January 2011.

  8. A CHAID Based Performance Prediction Model in Educational Data Mining

    Directory of Open Access Journals (Sweden)

    R. Bhaskaran

    2010-01-01

    Full Text Available The performance in higher secondary school education in India is a turning point in the academic lives of all students. As this academic performance is influenced by many factors, it is essential to develop predictive data mining model for students' performance so as to identify the slow learners and study the influence of the dominant factors on their academic performance. In the present investigation, a survey cum experimental methodology was adopted to generate a database and it was constructed from a primary and a secondary source. While the primary data was collected from the regular students, the secondary data was gathered from the school and office of the Chief Educational Officer (CEO. A total of 1000 datasets of the year 2006 from five different schools in three different districts of Tamilnadu were collected. The raw data was preprocessed in terms of filling up missing values, transforming values in one form into another and relevant attribute/ variable selection. As a result, we had 772 student records, which were used for CHAID prediction model construction. A set of prediction rules were extracted from CHIAD prediction model and the efficiency of the generated CHIAD prediction model was found. The accuracy of the present model was compared with other model and it has been found to be satisfactory.

  9. Detecting Fusarium oxysporum f. sp. cubense tropical race 4 in soil and symptomless banana tissues

    NARCIS (Netherlands)

    Dita Rodriguez, M.A.; Waalwijk, C.; Mutua, P.; Daly, A.; Chang, P.F.L.; Corcolon, B.M.; Paiva, L.; Souza, de M.; Kema, G.H.J.

    2013-01-01

    Tropical race 4 (TR4) of Fusarium oxysporum f. sp. cubense (Foc) is a quarantine pathogen in many banana-producing regions of the world. Preventing further dissemination and precluding incursions into areas where it has not been observed is critical for maintaining local and commercial banana produc

  10. A latent class approach to investigating demand for genetically modified banana in Uganda

    NARCIS (Netherlands)

    Kikulwe, E.M.; Birol, E.; Wesseler, J.H.H.; Falck-Zepeda, J.

    2011-01-01

    This study explores consumer acceptance and valuation of a genetically modified (GM) staple food crop in a developing country prior to its commercialization. We focus on the hypothetical introduction of a disease-resistant GM banana variety in Uganda, where bananas are among the most important stapl

  11. A Study on the Morphological and PhysicoChemical Characteristics of Five Cooking Bananas

    Science.gov (United States)

    Field evaluation of five banana clones was carried out at the National Germplasm Repository in Miami, Florida, USA from July 2006 to July 2008. Bananas (Musa acuminata Colla [AA, AAA]; Musa x paradisiaca Colla (ABB, AAAB, AABB), are one of the worlds most important food crops. Five clones of cookin...

  12. The Draft Genome Sequence of Mycosphaerella fijiensis, the Black Sigatoka Pathogen of Banana

    Science.gov (United States)

    Mycosphaerella fijiensis is a fungal pathogen of banana and the causal agent of the devastating Black Sigatoka or black leaf streak disease. Its control requires weekly fungicide applications when bananas are grown under disease-conducive conditions, which mostly represent precarious tropical enviro...

  13. 77 FR 31829 - Importation of Fresh Bananas From the Philippines Into the Continental United States...

    Science.gov (United States)

    2012-05-30

    ... the Continental United States'' and published in the Federal Register on April 16, 2012 (77 FR 22510... Animal and Plant Health Inspection Service Importation of Fresh Bananas From the Philippines Into the... the importation of fresh bananas from the Philippines into the continental United States....

  14. Genomic prediction in families of perennial ryegrass based on genotyping-by-sequencing

    DEFF Research Database (Denmark)

    Ashraf, Bilal

    In this thesis we investigate the potential for genomic prediction in perennial ryegrass using genotyping-by-sequencing (GBS) data. Association method based on family-based breeding systems was developed, genomic heritabilities, genomic prediction accurancies and effects of some key factors wer e...... prediction. Overall, GBS allows for genomic prediction in breeding families of perennial ryegrass and holds good potential to expedite genetic gain and encourage the application of genomic prediction......In this thesis we investigate the potential for genomic prediction in perennial ryegrass using genotyping-by-sequencing (GBS) data. Association method based on family-based breeding systems was developed, genomic heritabilities, genomic prediction accurancies and effects of some key factors wer...

  15. Prediction of Geological Subsurfaces Based on Gaussian Random Field Models

    Energy Technology Data Exchange (ETDEWEB)

    Abrahamsen, Petter

    1997-12-31

    During the sixties, random functions became practical tools for predicting ore reserves with associated precision measures in the mining industry. This was the start of the geostatistical methods called kriging. These methods are used, for example, in petroleum exploration. This thesis reviews the possibilities for using Gaussian random functions in modelling of geological subsurfaces. It develops methods for including many sources of information and observations for precise prediction of the depth of geological subsurfaces. The simple properties of Gaussian distributions make it possible to calculate optimal predictors in the mean square sense. This is done in a discussion of kriging predictors. These predictors are then extended to deal with several subsurfaces simultaneously. It is shown how additional velocity observations can be used to improve predictions. The use of gradient data and even higher order derivatives are also considered and gradient data are used in an example. 130 refs., 44 figs., 12 tabs.

  16. Protein-Protein Interactions Prediction Based on Iterative Clique Extension with Gene Ontology Filtering

    OpenAIRE

    Lei Yang; Xianglong Tang

    2014-01-01

    Cliques (maximal complete subnets) in protein-protein interaction (PPI) network are an important resource used to analyze protein complexes and functional modules. Clique-based methods of predicting PPI complement the data defection from biological experiments. However, clique-based predicting methods only depend on the topology of network. The false-positive and false-negative interactions in a network usually interfere with prediction. Therefore, we propose a method combining clique-based m...

  17. Well-log based prediction of thermal conductivity

    DEFF Research Database (Denmark)

    Fuchs, Sven; Förster, Andrea

    Rock thermal conductivity (TC) is paramount for the determination of heat flow and the calculation of temperature profiles. Due to the scarcity of drill cores compared to the availability of petrophysical well logs, methods are desired to indirectly predict TC in sedimentary basins. Most of the w......Rock thermal conductivity (TC) is paramount for the determination of heat flow and the calculation of temperature profiles. Due to the scarcity of drill cores compared to the availability of petrophysical well logs, methods are desired to indirectly predict TC in sedimentary basins. Most...

  18. Annotation-Based Whole Genomic Prediction and Selection

    DEFF Research Database (Denmark)

    Kadarmideen, Haja; Do, Duy Ngoc; Janss, Luc;

    using the BayesCπ method and applied to 1,272 Duroc pigs with both genotypic and phenotypic records including residual (RFI) and daily feed intake (DFI), average daily gain (ADG) and back fat (BF)). Records were split into a training (968 pigs) and a validation dataset (304 pigs). SNPs were annotated by...... 14 different classes. Predictive accuracy was 0.531, 0.532, 0.302, and 0.344 for DFI, RFI, ADG and BF, respectively. The contribution per SNP to total genomic variance was similar among annotated classes across different traits. Predictive performance of SNP classes did not significantly differ from...

  19. Distributed estimation based on observations prediction in wireless sensor networks

    KAUST Repository

    Bouchoucha, Taha

    2015-03-19

    We consider wireless sensor networks (WSNs) used for distributed estimation of unknown parameters. Due to the limited bandwidth, sensor nodes quantize their noisy observations before transmission to a fusion center (FC) for the estimation process. In this letter, the correlation between observations is exploited to reduce the mean-square error (MSE) of the distributed estimation. Specifically, sensor nodes generate local predictions of their observations and then transmit the quantized prediction errors (innovations) to the FC rather than the quantized observations. The analytic and numerical results show that transmitting the innovations rather than the observations mitigates the effect of quantization noise and hence reduces the MSE. © 2015 IEEE.

  20. Traffic Prediction Based on SVM Training Sample Divided by Time

    Directory of Open Access Journals (Sweden)

    Lingli Li

    2013-07-01

    Full Text Available In recent years, the volume of traffic is rapidly increasing. When vehicles running through the tunnel are more intensive or move slowly, the tunnel environment occurs deteriorated sharply, which affects the normal operation of the vehicle in the tunnel. This paper uses the result of previous mining association rules to select feature items and to establish four training samples divided by time. Then the training samples are utilized to create the SVM classification model. Finally the trained SVM model is used to prediction the tunnel traffic situation. Through traffic situation prediction, effective decisions can be made before traffic jams, and ensure that the tunnel traffic is normal.  

  1. Predictive functional control of integrating process based on impulse response

    Institute of Scientific and Technical Information of China (English)

    Bin ZHANG; Ping LI; Weidong ZHANG

    2004-01-01

    The predictive model is built according to the characteristics of the impulse response of integrating process. In order to eliminate the permanent offset between the setpoint and the process output in the presence of the load disturbance, a novel error compensation method is proposed. Then predictive functional control of integrating process is designed. The method given generates a simple control structure, which can significantly reduce online computation. Furthermore, the tuning of the controller is fairly straightforward. Simulation results indicate that the designed control system is relatively robust to the parameters variation of the process.

  2. Condition-based prediction of time-dependent reliability in composites

    Data.gov (United States)

    National Aeronautics and Space Administration — This paper presents a reliability-based prediction methodology to obtain the remaining useful life of composite materials subjected to fatigue degradation....

  3. Effect of physiological harvest stages on the composition of bioactive compounds in Cavendish bananas.

    Science.gov (United States)

    Bruno Bonnet, Christelle; Hubert, Olivier; Mbeguie-A-Mbeguie, Didier; Pallet, Dominique; Hiol, Abel; Reynes, Max; Poucheret, Patrick

    2013-04-01

    The combined influence of maturation, ripening, and climate on the profile of bioactive compounds was studied in banana (Musa acuminata, AAA, Cavendish, cv. Grande Naine). Their bioactive compounds were determined by the Folin-Ciocalteu assay and high-performance thin layer chromatographic (HPTLC) method. The polyphenol content of bananas harvested after 400 degree days remained unchanged during ripening, while bananas harvested after 600 and 900 degree days exhibited a significant polyphenol increase. Although dopamine was the polyphenol with the highest concentration in banana peels during the green developmental stage and ripening, its kinetics differed from the total polyphenol profile. Our results showed that this matrix of choice (maturation, ripening, and climate) may allow selection of the banana (M. acuminata, AAA, Cavendish, cv. Grande Naine) status that will produce optimal concentrations of identified compounds with human health relevance.

  4. Pineapple juice and its fractions in enzymatic browning inhibition of banana [Musa (AAA group) Gros Michel].

    Science.gov (United States)

    Chaisakdanugull, Chitsuda; Theerakulkait, Chockchai; Wrolstad, Ronald E

    2007-05-16

    The effectiveness of pineapple juice in enzymatic browning inhibition was evaluated on the cut surface of banana slices. After storage of banana slices at 15 degrees C for 3 days, pineapple juice showed browning inhibition to a similar extent as 8 mM ascorbic acid but less than 4 mM sodium metabisulfite. Fractionation of pineapple juice by a solid-phase C18 cartridge revealed that the directly eluted fraction (DE fraction) inhibited banana polyphenol oxidase (PPO) about 100% when compared to the control. The DE fraction also showed more inhibitory effect than 8 mM ascorbic acid in enzymatic browning inhibition of banana puree during storage at 5 degrees C for 24 h. Further identification of the DE fraction by fractionation with ion exchange chromatography and confirmation using model systems indicated that malic acid and citric acid play an important role in the enzymatic browning inhibition of banana PPO.

  5. Effect of physiological harvest stages on the composition of bioactive compounds in Cavendish bananas

    Institute of Scientific and Technical Information of China (English)

    Christelle BRUNO BONNET; Olivier HUBERT; Didier MBEGUIE-A-MBEGUIE; Dominique PALLET; Abel HIOL; Max REYNES; Patrick POUCHERET

    2013-01-01

    The combined influence of maturation,ripening,and climate on the profile of bioactive compounds was studied in banana (Musa acuminata,AAA,Cavendish,cv.Grande Naine).Their bioactive compounds were determined by the Folin-Ciocalteu assay and high-performance thin layer chromatographic (HPTLC) method.The polyphenol content of bananas harvested after 400 degree days remained unchanged during ripening,while bananas harvested after 600 and 900 degree days exhibited a significant polyphenol increase.Although dopamine was the polyphenol with the highest concentration in banana peels during the green developmental stage and ripening,its kinetics differed from the total polyphenol profile.Our results showed that this matrix of choice (maturation,ripening,and climate) may allow selection of the banana (M.acuminata,AAA,Cavendish,cv.Grande Naine) status that will produce optimal concentrations of identified compounds with human health relevance.

  6. Effects of acidic conditions on the growth of banana plantlets. An in vitro study

    International Nuclear Information System (INIS)

    In Malaysia, the banana, known locally as Pisang, is the major short term crop and is ranked as the third most important fruit crop for export. However, current production shows that demand is still greater than market supply. One of the major constraints in banana production is soil acidity, which affects the growth and yield. One way of overcoming this problem is biotechnological manipulations, i.e. by screening in vitro and selecting plants that are tolerant to acidity. Tissue culturing of bananas has been established and widely reported. A description is given of in vitro studies of two commercially grown bananas, Pisang Montel (Cavendish type) and Pisang Intan, with the objectives of selecting plants that are adaptable to a low pH and of understanding the biochemical mechanisms associated with acidity. P. Intan, a popular dessert banana, is reported to be severely affected by soil acidity. 6 refs

  7. It is only a banana-Traveltime sensitivity kernels using the unwrapped phase

    KAUST Repository

    Djebbi, R.

    2012-01-01

    Traveltime sensitivity kernels for finite-frequency traveltimes computed using the Born or Rytov approximations admits hallow banana shaped responses in the plane of propagation and a circular doughnut shaped responses in the cross section. This suggests that finite-frequency traveltimes are insensitive to velocity information along the infinite-frequency ray path, which is obviously inaccurate and creates a disconnect in the traveltime dependency on frequency. Using the instantaneous traveltime of the wavefield, which is capable of unwrapping the phase function, we obtain traveltime sensitivity kernels that have plain banana shape responses, with the thickness of the banana governed by the investigated frequency. This result confirms that the hallow banana shape is simply a result of the wrapping of the phase of the wavefield, in which Born nor Rytov approximations can properly deal with. The instantaneous traveltime can, thus, mitigate the nonlinearity problem encountered in finite-frequency traveltime inversions that may arise from these hallow banana sensitivity kernels.

  8. Effects of Increasing Levels of Dietary Cooked and Uncooked Banana Meal on Growth Performance and Carcass Parameters of Broiler Chicken

    Directory of Open Access Journals (Sweden)

    N.S.B.M Atapattu* and T.S.M.S. Senevirathne

    2013-04-01

    Full Text Available Discarded banana is a valuable feed ingredient for poultry feed formulations. However, due to the presence of resistant starches, inclusion of more than 10% banana meal in poultry rations reduces the growth performance. The objective of this study was to determine whether higher levels of banana meal could be included in broiler diets if raw banana is cooked before being processed into meal. Discarded banana (Cavendish collected at harvesting was processed into two types of banana meals. Cooked banana meal was prepared by cooking banana at 100oC for 15 minutes and subsequent drying. Uncooked banana meal was prepared by drying at 800C for three days. Giving a 2 x 4 factorial arrangement, 144 broiler chicks in 48 cages received one of the eight experimental diets containing either cooked or uncooked banana meal at 0, 10, 20 or 30% ad libitum from day 21-42. Birds fed cooked banana meal were significantly heavier on day 28 and 35. Live weight on day 42, weight gain, feed intake or feed conversion efficiency were not affected either by the type or level of banana meal and their interaction. Cooked banana meal increased the weights of the crop and liver significantly. Weight of the small intestine, proventriculus, gizzard abdominal fat pad and the fat free tibia ash contents were not affected by the dietary treatments. It was concluded that uncooked banana meal produced using peeled raw banana can be included up to 30% in nutritionally balanced broiler finisher diets without any adverse effects on performance.

  9. Behavior-Based Budget Management Using Predictive Analytics

    Energy Technology Data Exchange (ETDEWEB)

    Troy Hiltbrand

    2013-03-01

    Historically, the mechanisms to perform forecasting have primarily used two common factors as a basis for future predictions: time and money. While time and money are very important aspects of determining future budgetary spend patterns, organizations represent a complex system of unique individuals with a myriad of associated behaviors and all of these behaviors have bearing on how budget is utilized. When looking to forecasted budgets, it becomes a guessing game about how budget managers will behave under a given set of conditions. This becomes relatively messy when human nature is introduced, as different managers will react very differently under similar circumstances. While one manager becomes ultra conservative during periods of financial austerity, another might be un-phased and continue to spend as they have in the past. Both might revert into a state of budgetary protectionism masking what is truly happening at a budget holder level, in order to keep as much budget and influence as possible while at the same time sacrificing the greater good of the organization. To more accurately predict future outcomes, the models should consider both time and money and other behavioral patterns that have been observed across the organization. The field of predictive analytics is poised to provide the tools and methodologies needed for organizations to do just this: capture and leverage behaviors of the past to predict the future.

  10. Example-Based Human Pose Recovery under Predicted Partial Occlusions

    NARCIS (Netherlands)

    Poppe, Ronald; Babuska, Robert; Groen, Frans C A.

    2010-01-01

    For human pose recovery, the presence of occlusions due to objects or other persons in the scene remains a difficult problem to cope with. However, recent advances in the area of human detection allow for simultaneous segmentation of humans and the prediction of occluded regions. In this chapter, we

  11. Predicting active users' personality based on micro-blogging behaviors.

    Science.gov (United States)

    Li, Lin; Li, Ang; Hao, Bibo; Guan, Zengda; Zhu, Tingshao

    2014-01-01

    Because of its richness and availability, micro-blogging has become an ideal platform for conducting psychological research. In this paper, we proposed to predict active users' personality traits through micro-blogging behaviors. 547 Chinese active users of micro-blogging participated in this study. Their personality traits were measured by the Big Five Inventory, and digital records of micro-blogging behaviors were collected via web crawlers. After extracting 839 micro-blogging behavioral features, we first trained classification models utilizing Support Vector Machine (SVM), differentiating participants with high and low scores on each dimension of the Big Five Inventory [corrected]. The classification accuracy ranged from 84% to 92%. We also built regression models utilizing PaceRegression methods, predicting participants' scores on each dimension of the Big Five Inventory. The Pearson correlation coefficients between predicted scores and actual scores ranged from 0.48 to 0.54. Results indicated that active users' personality traits could be predicted by micro-blogging behaviors.

  12. UAV Formation Flight Based on Nonlinear Model Predictive Control

    Directory of Open Access Journals (Sweden)

    Zhou Chao

    2012-01-01

    Full Text Available We designed a distributed collision-free formation flight control law in the framework of nonlinear model predictive control. Formation configuration is determined in the virtual reference point coordinate system. Obstacle avoidance is guaranteed by cost penalty, and intervehicle collision avoidance is guaranteed by cost penalty combined with a new priority strategy.

  13. Increasing the Target Prediction Accuracy of MicroRNA Based on Combination of Prediction Algorithms

    Directory of Open Access Journals (Sweden)

    Mohammed Q. Shatnawi

    2016-06-01

    Full Text Available MicroRNA is an oligonucleotide that plays a role in the pathogenesis of several diseases (mentioning Cancer. It is a non-coding RNA that is involved in the control of gene expression through the binding and inhibition of mRNA. In this study, three algorithms were implemented in WEKA software using two testing modes to analyze five datasets of miRNA families. The data mining techniques are used to compare the interactions of miRNA-mRNA that it either belongs to the same gene-family or to different families, and to establish a biological scheme that explains how the biological parameters are involved or less involved in miRNA-mRNA prediction. The factors that were involved in the prediction process includs match, mismatch, bulge, loop, and score to represent the binding characteristics, while the position, 3’UTR length, and chromosomal location and chromosomal categorizations represent the characteristics of the target mRNA. These attributes can provide an empirical guidance for study of specific miRNA family to scan the whole human genome for novel targets. This research provides promising results that can be utilized for current and future research in this field.

  14. Secagem de bananas prata e d'água por convecção forçada Drying of banana prata and banana d'água by forced convection

    Directory of Open Access Journals (Sweden)

    Soraia Vilela Borges

    2010-09-01

    Full Text Available Estudou-se a influência de variáveis como cultivar, formato (cilindro e disco, branqueamento e condições do ar aquecido (temperatura: 50 e 70 ºC e velocidade: 0,14 e 0,42 m/s sobre o comportamento de secagem convectiva de bananas com uso de modelagem matemática. As bananas foram desidratadas em secador de bandejas e pesada em intervalos pré-determinados. O modelo exponencial foi bem ajustado às curvas de secagem (R²: 0,98-0,99, mostrando que os fatores mais influentes sobre a taxa de secagem foram a temperatura, a velocidade do ar e o branqueamento. De acordo com as constantes cinéticas apresentadas pelo modelo recomenda-se a secagem de banana, em qualquer dos formatos estudados, nas seguintes condições: para banana-prata, uso de branqueamento e secagem a 50 ºC/0,42 m/s; e para banana-d'água, sem uso de branqueamento e secagem a 70 ºC/0,42 m/s.The influence of variables such as cultivar, shape (cylinder and disc, blanching, and heated air conditions (temperatures of 50 and 70 ºC and velocities of 0.14 and 0.42 m/s on convective drying behavior of bananas using mathematical modeling. The bananas were dehydrated in a tray dryer and were weighed in predetermined periods of time. The exponential model showed good agreement with the drying curves (R²: 0.98-0.99 indicating that the factors that influenced the drying rate the most were temperature, air velocity, and blanching. According to the kinetics constants obtained with the model, the drying of bananas is recommended, including all shapes investigated under the following conditions: banana prata, blanching and drying at 50 ºC/0.42 m/s; and banana d'água, no blanching and drying at 70 ºC/0.42 m/s.

  15. A strip thickness prediction method of hot rolling based on D_S information reconstruction

    Institute of Scientific and Technical Information of China (English)

    孙丽杰; 邵诚; 张利

    2015-01-01

    To improve prediction accuracy of strip thickness in hot rolling, a kind of Dempster/Shafer(D_S) information reconstitution prediction method (DSIRPM) was presented. DSIRPM basically consisted of three steps to implement the prediction of strip thickness. Firstly, ibaAnalyzer was employed to analyze the periodicity of hot rolling and find three sensitive parameters to strip thickness, which were used to undertake polynomial curve fitting prediction based on least square respectively, and preliminary prediction results were obtained. Then, D_S evidence theory was used to reconstruct the prediction results under different parameters, in which basic probability assignment (BPA) was the key and the proposed contribution rate calculated using grey relational degree was regarded as BPA, which realizes BPA selection objectively. Finally, from this distribution, future strip thickness trend was inferred. Experimental results clearly show the improved prediction accuracy and stability compared with other prediction models, such as GM(1,1) and the weighted average prediction model.

  16. Fusarium species associated with fruit rot of banana (Musa spp.), papaya (Carica papaya) and guava (Psidium guajava)

    OpenAIRE

    Zakaria, L.; Mazzura, W. C.; Kong, W. H.; S. Baharuddin

    2012-01-01

    A total of 60 isolates of Fusarium were isolated from fruit rot of banana (Musa spp.), papaya (Carica papaya) and guava(Psidium guajava). The most common species recovered from the fruit rot of the three fruit crops were F. semitectum(40 %), F. solani (38.3 %), F. verticillioides (11.7 %) and F. oxysporum (10 %). Fusarium semitectum was isolated from fruit rot of banana, papaya and guava; F. oxysporum from banana and papaya; F. solani from banana and guava and F.verticillioides from banana. F...

  17. Position Prediction Based Frequency Control of Beacons in Vehicular Ad Hoc Networks

    OpenAIRE

    Jizhao Liu; Quan Wang

    2015-01-01

    In VANETs, frequent beacon broadcasting can lead to high bandwidth consumption and channel congestion. In this paper, a position prediction based beacon approach is proposed to reduce beacon frequency and decrease bandwidth consumption. Vehicles track their neighbors using the predicted position instead of using periodic beacon broadcasting. Only when the prediction error is higher than a predefined tolerance will a beacon broadcasting be triggered. For improving the prediction accuracy, we c...

  18. Haplotype Based Genome-Enabled Prediction of Traits Across Nordic Red Cattle Breeds

    OpenAIRE

    Castro Dias Cuyabano, Beatriz; Lund, Mogens Sandø; Rosa, G. J. M.; Gianola, Daniel; Su, Guosheng

    2014-01-01

    SNP markers have been widely explored in genome based prediction. This study explored the use of haplotype blocks (haploblocks) to predict five milk production traits (fertility, mastitis, protein, fat and milk yield), using a mix of Nordic Red cattle as reference population for training. Predictions were performed under a Bayesian approach comparing a GBLUP and a mixture model. In general, predictions were more reliable when using haploblocks instead of individual SNPs as predictors. The Dan...

  19. Structure-based prediction of protein-folding transition paths

    CERN Document Server

    Jacobs, William M

    2016-01-01

    We propose a general theory to describe the distribution of protein-folding transition paths. We show that transition paths follow a predictable sequence of high-free-energy transient states that are separated by free-energy barriers. Each transient state corresponds to the assembly of one or more discrete, cooperative units, which are determined directly from the native structure. We show that the transition state on a folding pathway is reached when a small number of critical contacts are formed between a specific set of substructures, after which folding proceeds downhill in free energy. This approach suggests a natural resolution for distinguishing parallel folding pathways and provides a simple means to predict the rate-limiting step in a folding reaction. Our theory identifies a common folding mechanism for proteins with diverse native structures and establishes general principles for the self-assembly of polymers with specific interactions.

  20. Mobility Prediction Based Neighborhood Discovery in Mobile Ad Hoc Networks.

    OpenAIRE

    Li, Xu; Mitton, Nathalie; Simplot-Ryl, David

    2011-01-01

    International audience Hello protocol is the basic technique for neighborhood discovery in wireless ad hoc networks. It requires nodes to claim their existence/ aliveness by periodic 'hello' messages. Central to a hello protocol is the determination of 'hello' message transmission rate. No fixed optimal rate exists in the presence of node mobility. The rate should in fact adapt to it, high for high mobility and low for low mobility. In this paper, we propose a novel mobility prediction bas...

  1. Online Forums Hotspot Prediction Based on Sentiment Analysis

    OpenAIRE

    V. Murali Bhaskarn; K. Nirmala Devi

    2012-01-01

    Problem statement: Online forums hotspot prediction is one of the significant research areas in web mining, which can help people make proper decision in daily life. Online forums, news reports and blogs, are containing large volume of public opinion information. Rapid growth of network arouses much attention on public opinion, it is important to analyse the public opinion in time and understands the trends of their opinion correctly. Approach: The sentiment analysis and text mining are impor...

  2. Lasso based feature selection for malaria risk exposure prediction

    OpenAIRE

    Kouwayè, Bienvenue; Fonton, Noël; Rossi, Fabrice

    2015-01-01

    In life sciences, the experts generally use empirical knowledge to recode variables, choose interactions and perform selection by classical approach. The aim of this work is to perform automatic learning algorithm for variables selection which can lead to know if experts can be help in they decision or simply replaced by the machine and improve they knowledge and results. The Lasso method can detect the optimal subset of variables for estimation and prediction under some conditions. In this p...

  3. Tensor-Based Link Prediction in Intermittently Connected Wireless Networks

    CERN Document Server

    Zayani, Mohamed-Haykel; Slama, Ines; Zeghlache, Djamal

    2011-01-01

    Through several studies, it has been highlighted that mobility patterns in mobile networks are driven by human behaviors. This effect has been particularly observed in intermittently connected networks like DTN (Delay Tolerant Networks). Given that common social intentions generate similar human behavior, it is relevant to exploit this knowledge in the network protocols design, e.g. to identify the closeness degree between two nodes. In this paper, we propose a temporal link prediction technique for DTN which quantifies the behavior similarity between each pair of nodes and makes use of it to predict future links. Our prediction method keeps track of the spatio-temporal aspects of nodes behaviors organized as a third-order tensor that aims to records the evolution of the network topology. After collapsing the tensor information, we compute the degree of similarity for each pair of nodes using the Katz measure. This metric gives us an indication on the link occurrence between two nodes relying on their closene...

  4. Time Series Outlier Detection Based on Sliding Window Prediction

    Directory of Open Access Journals (Sweden)

    Yufeng Yu

    2014-01-01

    Full Text Available In order to detect outliers in hydrological time series data for improving data quality and decision-making quality related to design, operation, and management of water resources, this research develops a time series outlier detection method for hydrologic data that can be used to identify data that deviate from historical patterns. The method first built a forecasting model on the history data and then used it to predict future values. Anomalies are assumed to take place if the observed values fall outside a given prediction confidence interval (PCI, which can be calculated by the predicted value and confidence coefficient. The use of PCI as threshold is mainly on the fact that it considers the uncertainty in the data series parameters in the forecasting model to address the suitable threshold selection problem. The method performs fast, incremental evaluation of data as it becomes available, scales to large quantities of data, and requires no preclassification of anomalies. Experiments with different hydrologic real-world time series showed that the proposed methods are fast and correctly identify abnormal data and can be used for hydrologic time series analysis.

  5. A saturated SSR/DArT linkage map of Musa acuminata addressing genome rearrangements among bananas

    Directory of Open Access Journals (Sweden)

    Matsumoto Takashi

    2010-04-01

    Full Text Available Abstract Background The genus Musa is a large species complex which includes cultivars at diploid and triploid levels. These sterile and vegetatively propagated cultivars are based on the A genome from Musa acuminata, exclusively for sweet bananas such as Cavendish, or associated with the B genome (Musa balbisiana in cooking bananas such as Plantain varieties. In M. acuminata cultivars, structural heterozygosity is thought to be one of the main causes of sterility, which is essential for obtaining seedless fruits but hampers breeding. Only partial genetic maps are presently available due to chromosomal rearrangements within the parents of the mapping populations. This causes large segregation distortions inducing pseudo-linkages and difficulties in ordering markers in the linkage groups. The present study aims at producing a saturated linkage map of M. acuminata, taking into account hypotheses on the structural heterozygosity of the parents. Results An F1 progeny of 180 individuals was obtained from a cross between two genetically distant accessions of M. acuminata, 'Borneo' and 'Pisang Lilin' (P. Lilin. Based on the gametic recombination of each parent, two parental maps composed of SSR and DArT markers were established. A significant proportion of the markers (21.7% deviated (p Conclusions We propose a synthetic map with 11 linkage groups containing 489 markers (167 SSRs and 322 DArTs covering 1197 cM. This first saturated map is proposed as a "reference Musa map" for further analyses. We also propose two complete parental maps with interpretations of structural rearrangements localized on the linkage groups. The structural heterozygosity in P. Lilin is hypothesized to result from a duplication likely accompanied by an inversion on another chromosome. This paper also illustrates a methodological approach, transferable to other species, to investigate the mapping of structural rearrangements and determine their consequences on marker

  6. A CBR-based and MAHP-based customer value prediction model for new product development.

    Science.gov (United States)

    Zhao, Yu-Jie; Luo, Xin-xing; Deng, Li

    2014-01-01

    In the fierce market environment, the enterprise which wants to meet customer needs and boost its market profit and share must focus on the new product development. To overcome the limitations of previous research, Chan et al. proposed a dynamic decision support system to predict the customer lifetime value (CLV) for new product development. However, to better meet the customer needs, there are still some deficiencies in their model, so this study proposes a CBR-based and MAHP-based customer value prediction model for a new product (C&M-CVPM). CBR (case based reasoning) can reduce experts' workload and evaluation time, while MAHP (multiplicative analytic hierarchy process) can use actual but average influencing factor's effectiveness in stimulation, and at same time C&M-CVPM uses dynamic customers' transition probability which is more close to reality. This study not only introduces the realization of CBR and MAHP, but also elaborates C&M-CVPM's three main modules. The application of the proposed model is illustrated and confirmed to be sensible and convincing through a stimulation experiment. PMID:25162050

  7. A CBR-Based and MAHP-Based Customer Value Prediction Model for New Product Development

    Directory of Open Access Journals (Sweden)

    Yu-Jie Zhao

    2014-01-01

    Full Text Available In the fierce market environment, the enterprise which wants to meet customer needs and boost its market profit and share must focus on the new product development. To overcome the limitations of previous research, Chan et al. proposed a dynamic decision support system to predict the customer lifetime value (CLV for new product development. However, to better meet the customer needs, there are still some deficiencies in their model, so this study proposes a CBR-based and MAHP-based customer value prediction model for a new product (C&M-CVPM. CBR (case based reasoning can reduce experts’ workload and evaluation time, while MAHP (multiplicative analytic hierarchy process can use actual but average influencing factor’s effectiveness in stimulation, and at same time C&M-CVPM uses dynamic customers’ transition probability which is more close to reality. This study not only introduces the realization of CBR and MAHP, but also elaborates C&M-CVPM’s three main modules. The application of the proposed model is illustrated and confirmed to be sensible and convincing through a stimulation experiment.

  8. Enzyme activity in banana fruits rotted by Botryodiplodia theobromae Pat.

    Directory of Open Access Journals (Sweden)

    Nityananda Chakraborty

    2015-06-01

    Full Text Available Peroxidase and polyphenol oxidase activities in fruits of two cultivars of banana, 'champa' and 'kanthali' rotted by Botryodiplodia theobromae Pat. was studied. The enzymes showed much higher activities in infected than that in uninfected 'tissues. Increase in peroxidase activity was evidently inhibited by cycloheximide. Polyphenol oxidase activity was also inhibited in presence of phenylthiourea and Na-diethyldithiocarbamate more strongly by the former. Increase in activities seemed to be due to increased sytheses of the enzymes. In an in vitro culture, the fungus exhibited some peroxidase but no polyphenoloxidase activity.

  9. Folded isometric deformations and banana-shaped seedpod

    Science.gov (United States)

    Couturier, Etienne

    2016-08-01

    Thin vegetal shells have recently been a significant source of inspiration for the design of smart materials and soft actuators. Herein is presented a novel analytical family of isometric deformations with a family of θ-folds crossing a family of parallel z-folds; it contains the isometric deformations of a banana-shaped surface inspired by a seedpod, which converts a vertical closing into either an horizontal closing or an opening depending on the location of the fold. Similarly to the seedpod, optimum shapes for opening ease are the most elongated ones.

  10. An Electrostatic Lens to Reduce Parallax in Banana Gas Detectors

    CERN Document Server

    Van Esch, P; Medjoubi, K; Esch, Patrick Van; Clergeau, Jean-Francois; Medjoubi, Kadda

    2005-01-01

    Cylindrical "banana" gas detectors are often used in fixed-target experiments, because they are free of parallax effects in the equatorial plane. However, there is a growing demand to increase the height of these detectors in order to be more efficient or to cover more solid angle, and hence a parallax effect starts to limit the resolution in that direction. In this paper we propose a hardware correction for this problem which reduces the parallax error thanks to an applied potential on the front window that makes the electrostatic field lines radially pointing to the interaction point at the entrance window. A detailed analytical analysis of the solution is also presented.

  11. Banana-shaped molecules derived from substituted isophthalic acids

    Indian Academy of Sciences (India)

    H T Nguyen; J P Bedel; J C Rouillon; J P Marcerou; M F Achard

    2003-08-01

    In this paper we present a review of five-rings banana-shaped molecules derived from isophthalic acids. This study deals with about a hundred compounds and most of them have not been published. By a combination of several linking groups and different selected substituents either on the outer rings or on the central core, several mesophases with switching properties are induced. The study of homologous series underlines the importance of the length and nature of the terminal chains. X-ray analysis reveals several new structures.

  12. Control of Fusarium wilt in banana with Chinese leek

    OpenAIRE

    Huang, Y H; Wang, R C; Li, C. H.; Zuo, C.W.; Wei, Y. R.; Zhang, L.; Yi, G.J.

    2012-01-01

    The inhibitory effects of Chinese leek(Allium tuberosum) on Fusarium oxysporum f. sp. cubense (Foc) and on Fusarium wilt incidence were studied in order to identify a potential efficient way to control the disease. Adopting the rotation system of Chinese leek-banana reduced the Fusarium wilt incidence and disease severity index by 88 %-97 % and 91 %-96 %, respectively, improved the crop value by 36 %-86 %, in an area heavily infested by Foc between 2007 and 2009. As a result of inoculation in...

  13. Improving Computational Efficiency of Prediction in Model-based Prognostics Using the Unscented Transform

    Data.gov (United States)

    National Aeronautics and Space Administration — Model-based prognostics captures system knowledge in the form of physics-based models of components, and how they fail, in order to obtain accurate predictions of...

  14. Analyzing Log Files to Predict Students' Problem Solving Performance in a Computer-Based Physics Tutor

    Science.gov (United States)

    Lee, Young-Jin

    2015-01-01

    This study investigates whether information saved in the log files of a computer-based tutor can be used to predict the problem solving performance of students. The log files of a computer-based physics tutoring environment called Andes Physics Tutor was analyzed to build a logistic regression model that predicted success and failure of students'…

  15. Predicting magnetostructural trends in FeRh-based ternary systems

    Science.gov (United States)

    Barua, Radhika; Jiménez-Villacorta, Félix; Lewis, L. H.

    2013-09-01

    Correlations between magnetic transition temperatures and the average weighted valence band electron concentration ((s + d) electrons/atom) have led to the development of a phenomenological model that predicts the influence of elemental substitution on the magnetostructural response of bulk B2-ordered Fe(Rh1-xMx) or (Fe1-xMx)Rh alloys (M = transition elements; x FeRh with Cu and Au additions. The data and associated trends indicate that the lattice and electronic free energies are both equally important in driving the magnetostructural transition in the bulk FeRh system.

  16. Design of Over Center Valves Based on Predictable Performance

    DEFF Research Database (Denmark)

    Hansen, M.R.; Andersen, T.O.; Pedersen, P.;

    2004-01-01

    A typical oil hydraulic over center valve system and a time domain simulation model is introduced together with a hypothesis that flow force compensation should reduce the inherent oscillatory behavior of such hydraulic systems. A few results are shown from a parameter study that confirms...... this assumption and an approach to design over center valve geometries that have negative flow forces is presented with emphasis on predictability. In conclusion it is made clear that negative flow forces in the over center valve cannot solve the instability problem in general, however, it might very well...

  17. Prediction of speech intelligibility based on an auditory preprocessing model

    DEFF Research Database (Denmark)

    Christiansen, Claus Forup Corlin; Pedersen, Michael Syskind; Dau, Torsten

    2010-01-01

    preprocessing [Dau et al., 1997. J. Acoust. Soc. Am. 102, 2892-2905] with a simple central stage that describes the similarity of the test signal with the corresponding reference signal at a level of the internal representation of the signals. The model was compared with previous approaches, whereby a speech...... in noise experiment was used for training and an ideal binary mask experiment was used for evaluation. All three models were able to capture the trends in the speech in noise training data well, but the proposed model provides a better prediction of the binary mask test data, particularly when the binary...

  18. Predicting tissue-specific expressions based on sequence characteristics

    KAUST Repository

    Paik, Hyojung

    2011-04-30

    In multicellular organisms, including humans, understanding expression specificity at the tissue level is essential for interpreting protein function, such as tissue differentiation. We developed a prediction approach via generated sequence features from overrepresented patterns in housekeeping (HK) and tissue-specific (TS) genes to classify TS expression in humans. Using TS domains and transcriptional factor binding sites (TFBSs), sequence characteristics were used as indices of expressed tissues in a Random Forest algorithm by scoring exclusive patterns considering the biological intuition; TFBSs regulate gene expression, and the domains reflect the functional specificity of a TS gene. Our proposed approach displayed better performance than previous attempts and was validated using computational and experimental methods.

  19. Short-Term Wind Power Prediction and Comprehensive Evaluation based on Multiple Methods

    Directory of Open Access Journals (Sweden)

    Zhaowei Wang

    2013-12-01

    Full Text Available Firstly, this study used prediction methods, including Kalman filter method, the GARCH (Generalized Autoregressive Conditional Heteroskedasticity model and the BP neural network model based on time sequence, to predict real-timely the wind power. And then, we construct indexes such as mean absolute error, root-mean-square error, accuracy rate and percent of pass to have error analysis on the predictive effect and get the best results of prediction effect that based on time sequence of the BP neural network model. Finally, we concluded the universal rule between the relative prediction error of single typhoon electric unit power of and the prediction relative error of total machine power by the analysis into lateral error indicators. And we analyze the influence on the error of the prediction result that resulting from the converge of wind generator power.

  20. Predicting Siltation in Entrance Channel Based on Wind Conditions

    Institute of Scientific and Technical Information of China (English)

    2007-01-01

    The siltation induced by wind waves in an entrance channel is one of the prime factors influencing the operation efficiency of a port. It is necessary to predict the siltation accurately for dredging and ship operation passing through the entrance of the port. However, it is difficult to apply the traditional method to predicting entrance siltation because of its complex computational procedure and lacking the data of ocean dynamic elements in the specified sea area. From the view of energy conservation, a direct relationship between wind conditions and sediment deposition can be founded. On the basis of the above methodology, an empirical formula expressed by wind conditions for forecasting the siltation in the entrance channel is set up. The wind conditions are easily obtained from the local meteorological stations or weather maps, so the formula established in this paper is more convenient and practical than the traditional method. A case study is provided, in which the emopirical formula is calibrated and verified utilizing the measured wind and siltation conditions in the entrance channel of the port. Comparisons between computed values and measured data show satisfactory agreement.