WorldWideScience

Sample records for banana predictions based

  1. 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

  2. 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...

  3. 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...

  4. 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...

  5. Protocol to evaluate phyto-pharmaceutics products (PPP) deposition on banana crop from different types of ground based sprayers

    OpenAIRE

    Cotteux, E.; Bonicelli, B.; Douzals, J.P.

    2014-01-01

    Banana crop is dramatically exposed to Sigatoga disease. Until now, the control was operated thru aerial application but national and European legislations banned aerial spraying on crops (Directive 2009/128/CE), arguing of human health and environment safety (PAN, 2004). The Optiban project was launched in 2008 to meet the requirement of the Food and Agriculture Ministry and the Groups of banana growers of Guadeloupe and Martinique (UGPBAN). It aims at improving a ground based system to repl...

  6. Adapting to change in banana-based farming systems of northwest Tanzania: the potential role of herbaceous legumes

    OpenAIRE

    Baijukya, F.P.

    2004-01-01

    Keywords: Land use changes; Herbaceous legumes; Adoptability; N 2 -fixation; Residual effect; Legume management; Exploration of options, Nutrient depleted soils.The banana-based farming system inBukoba District,Tanzania, has been in existence for over 300 years. At present, banana productivity in homegardens is declining largely due to the decline in soil fertility, which in many years was counteracted by the availability of manure. The grazing land is being converted to crop fields and other...

  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. Better bananas

    International Nuclear Information System (INIS)

    This is a public relations film describing problems associated with the genetic improvement of bananas and plantains. These fruit and food crops have a large economic and nutritional value for tropical regions. The vulnerability of bananas to disease epidemics urgently requires breeding for resistance to black Sigatoka (leaf spot disease). The joint FAO/IAEA division has initiated a programme and developed a biotechnological strategy for genetic improvement of bananas and plantains

  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. 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.

  14. Phenotyping bananas for drought resistance

    OpenAIRE

    IyyakuttyRavi

    2013-01-01

    Drought has emerged as one of the major constraints in banana production. Its effects are pronounced substantially in the tropics and sub-tropics of the world due to climate change. Bananas are quite sensitive to drought; however, genotypes with ‘B’ genome are more tolerant to abiotic stresses than those solely based on ‘A’ genome. In particular, bananas with ‘ABB’ genomes are more tolerant to drought and other abiotic stresses than other genotypes. A good phenotyping plan is a prerequisite f...

  15. Phenotyping bananas for drought resistance

    OpenAIRE

    Ravi, Iyyakkutty; Uma, Subbaraya; Vaganan, Muthu Mayil; Mustaffa, Mohamed M.

    2013-01-01

    Drought has emerged as one of the major constraints in banana production. Its effects are pronounced substantially in the tropics and sub-tropics of the world due to climate change. Bananas are quite sensitive to drought; however, genotypes with “B” genome are more tolerant to abiotic stresses than those solely based on “A” genome. In particular, bananas with “ABB” genomes are more tolerant to drought and other abiotic stresses than other genotypes. A good phenotyping plan is a prerequisite f...

  16. 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.

  17. 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

  18. 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...

  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. 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...

  2. Bananas go paraelectric

    International Nuclear Information System (INIS)

    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)

  3. 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

  4. Bananas and plantains

    International Nuclear Information System (INIS)

    The film shows the germplasm diversity within the Genus Musa and the evolution of cultivated forms of bananas and plantains. Cultivation history and geographical distribution are depicted; features of plant morphology and the floral biology are demonstrated. Economic and nutritional impact and importance of bananas and plantains for developing countries are briefly discussed. The second part of the film surveys problems in the propagation and genetic improvement of bananas and plantains: fruits of these vegetatively propagated plants are usually seedless which complicate the application of conventional plant breeding methods. In-vitro techniques are shown to be useful for plant propagation and germplasm conservation. Cross breeding with some semi-sterile clones of bananas has not led so far to lines which are resistant to the most harmful diseases, e.g. panama disease, black sigatoka. The Joint FAO/IAEA division has initiated an in-vitro mutation breeding programme to improve disease resistance in bananas

  5. 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.

  6. 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...

  7. A possible scenario for the evolution of Banana streak virus in banana.

    Science.gov (United States)

    Iskra-Caruana, Marie-Line; Chabannes, Matthieu; Duroy, Pierre-Olivier; Muller, Emmanuelle

    2014-06-24

    Outbreaks of Banana streak virus (BSV) have been recorded worldwide where Musa spp. is grown during the last 20 years with no convincing evidence of epidemics. Epidemics were previously reported in Uganda where BSV is currently endemic. BSV is a plant pararetrovirus of the family Caulimoviridae, genus Badnavirus it causes chlorosis leaf streak disease. The information currently available on banana streak disease makes it possible to identify a complex of distinct BSV species each causing the same disease. BSV exists in two states: one as an episomal form, infecting plant cells; the other as viral DNA integrated within the B genome of banana (endogenous BSV-eBSV) forming a viral genome for de novo viral particles. Both forms can be infectious in banana plants. The BSV phylogeny is polyphyletic with BSV distributed in two clades. Clade 1 clusters BSV species that occur worldwide and may have an eBSV counterpart, whereas Clade 3 only comprises BSV species from Uganda. Clearly, two distinct origins explain such BSV diversity. However, the epidemiology/outbreaks of BSV remains unclear and the role of eBSV needs to be clarified. In this review, the biodiversity of BSV is explained and discussed in the light of field and molecular epidemiology data. A scheme is proposed for the co-evolution of BSV and banana based on old or recent infection hypotheses related to African domestication sites and banana dissemination to explain the disease context. PMID:24457073

  8. 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…

  9. 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

  10. 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. PMID:23601973

  11. 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…

  12. 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

  13. 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。

  14. 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...

  15. 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

  16. 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

  17. 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

    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....

  18. 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.

  19. Banana Lectin: A Brief Review

    Directory of Open Access Journals (Sweden)

    Senjam Sunil Singh

    2014-11-01

    Full Text Available Lectins are a group of proteins of non-immune origin that recognize and bind to carbohydrates without modifying them. Banana is the common name for both herbaceous plants of the genus Musa and for the fruit they produce. They are indeed a promising source for many medicinal applications. Banana lectins have the potential for inhibiting HIV-1 reverse transcriptase activity, suppressing cancer cell proliferation and stimulating macrophage activities. Nevertheless, compared to other plant lectins, there is relatively little information in the literature on banana lectins, particularly with respect to their structure and biological functions. Herein we focus our review on the structure, functions and exploitable properties of banana lectins.

  20. 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...

  1. 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)

  2. 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 ...

  3. 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.

  4. Involvement of phenolic compounds in the susceptibility of bananas to crown rot. A review

    Directory of Open Access Journals (Sweden)

    Lassois, L.

    2012-01-01

    Full Text Available Crown rot of bananas, caused by a fungal parasitic complex, is one of the main quality defects of exported bananas. Major variations in the susceptibility of bananas to crown rot have been observed in different production zones. The physiological state of the banana fruit at harvest is said to influence its response to pathogenic attack and thus to modulate its susceptibility to crown rot. The susceptibility of bananas to this disease, however, appears to be influenced by many pre-harvest factors, although the underlying defense mechanisms have not been clearly identified. A recent report based on molecular analyses suggests that phenolic compounds might be involved in the different variations in the susceptibility of bananas to crown rot. Results of other earlier studies point to an involvement of phenolic compounds in the defensive reactions of banana plants against various pathogens. The present paper reviews the current state of knowledge on the variations in the susceptibility of bananas to crown rot and takes stock of what is known about phenolic compounds in relation to their potential involvement in the defense mechanisms of the banana plant.

  5. 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

  6. 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. PMID:24834817

  7. 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

  8. 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, ...

  9. 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。

  10. 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

  11. 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.

  12. The banana E2 gene family: Genomic identification, characterization, expression profiling analysis.

    Science.gov (United States)

    Dong, Chen; Hu, Huigang; Jue, Dengwei; Zhao, Qiufang; Chen, Hongliang; Xie, Jianghui; Jia, Liqiang

    2016-04-01

    The E2 is at the center of a cascade of Ub1 transfers, and it links activation of the Ub1 by E1 to its eventual E3-catalyzed attachment to substrate. Although the genome-wide analysis of this family has been performed in some species, little is known about analysis of E2 genes in banana. In this study, 74 E2 genes of banana were identified and phylogenetically clustered into thirteen subgroups. The predicted banana E2 genes were distributed across all 11 chromosomes at different densities. Additionally, the E2 domain, gene structure and motif compositions were analyzed. The expression of all of the banana E2 genes was analyzed in the root, stem, leaf, flower organs, five stages of fruit development and under abiotic stresses. All of the banana E2 genes, with the exception of few genes in each group, were expressed in at least one of the organs and fruit developments, which indicated that the E2 genes might involve in various aspects of the physiological and developmental processes of the banana. Quantitative RT-PCR (qRT-PCR) analysis identified that 45 E2s under drought and 33 E2s under salt were induced. To the best of our knowledge, this report describes the first genome-wide analysis of the banana E2 gene family, and the results should provide valuable information for understanding the classification, cloning and putative functions of this family. PMID:26940488

  13. 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!

  14. 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

  15. Morphological, Serological and Molecular Analyses of Anthracnose-Causing Agent on Banana Fruit

    Directory of Open Access Journals (Sweden)

    Nataša Duduk

    2009-01-01

    Full Text Available Two species of the genus Colletotrichum, C. musae and C. gloeosporoides, occur as infecting species of banana. The study focused on examining the etiology of anthracnose on banana fruits sold on the domestic market. An isolate was obtained from a deseased banana fruit on PDA medium, forming a white colony with intensive and uniformed growth. It was not possible to identify the isolated fungus based on its morphological characteristics. Positive serological reaction in an ELISA test with monoclonal antibodies for C. acutatum indicated an antigen site for the used monoclonal antibodies. Positive reaction when C. gloeosporioides-specific primers were applied indicated a similarity in the ITS sequence ofthe fungus and the examined isolate from banana fruit. Although there are no available data in literature that C. gloeosporioides-specific CgInt primer can be used for amplification of the phylogenetically related C. musae, our results do not exclude that the isolate could be C. musae. The host plant, symptoms observed and colony characteristics of the fungus isolated from the banana fruit mostly correspond to C. musae. Based on morphological, antigenand gentic characteristics, the isolate from banana was determined as Colletotrichum sp., while species identification of the anthracnose-causing agent on banana requires additional analysis.

  16. 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. PMID:26805624

  17. 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...

  18. Production of doubled haploids in banana

    International Nuclear Information System (INIS)

    The production of doubled haploids in banana was achieved through anther culture of diploid banana Musa balbisiana var. Bichikala (BB). Calli were induced by culturing anthers onto MS or N6 based medium. MS medium comprised Morel vitamin and supplemented either with 2.5 1mg-12,4-D and 1.0 1mg-1kinetin (MS1) or with 1.0 1mg-1BA, 0.4 IAA 1mg-1and 500 1mg-1caesin hydrolysate (MS2) while N6 medium contained basic salts and added with 1.0 1mg-1BA, 0.4 IAA 1mg-1and 500 1mg-1caesin hydrolysate. Some of these calli produced embryoids within a span of 8-10 weeks upon transfer to MS medium fortified with 0.5 1mg-1BA and 0.4 1mg-1IAA. These calli/embryoids subsequently developed into shoots when sub-cultured on the same medium but with reduced concentration of IAA (0.1 mg-l). No plants were produced from calli originated from 2,4- D and kinetin supplemented MS medium (MS1). Roots were produced in MS medium devoid of growth regulators. A total of 39 plants were regenerated from anther-derived calli/embryoids. Six of these plants were tested for ploidy level and all of them showed diploid number of chromosome. Regenerated plants were acclimatized and transferred to the field for further study. (author)

  19. 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

  20. Effect of a novel edible composite coating based on gum arabic and chitosan on biochemical and physiological responses of banana fruits during cold storage.

    Science.gov (United States)

    Maqbool, Mehdi; Ali, Asgar; Alderson, Peter G; Zahid, Noosheen; Siddiqui, Yasmeen

    2011-05-25

    The composite effects of gum arabic (GA) (5, 10, 15, and 20%) and chitosan (CH) (1.0%) on the biochemical and physiological characteristics of banana fruits stored at 13 ± 1 °C and 80 ± 3% relative humidity (RH) for 28 days and afterward for 5 days at simulated marketing conditions (25 °C, 60% RH) were investigated. Significant (P ≤ 0.05) differences were observed for the entire GA plus CH treatments as compared to the control. However, the results showed that after 33 days of storage, the weight loss and soluble solids concentration of fruits treated with 10% GA plus 1.0% CH composite coating were 24 and 54% lower, whereas fruit firmness, total carbohydrates, and reducing sugars were 31, 59, and 40% higher than the control, respectively. Furthermore, the composite edible coating of 10% GA plus 1.0% CH delayed color development and reduced the rate of respiration and ethylene evolution during storage as compared to the control. Similarly, sensory evaluation results also proved the effectiveness of 10% GA plus 1.0% CH composite coating by maintaining the overall quality of banana fruits. Consequently, the results of scanning electron microscopy also confirmed that the fruits coated with 10% GA plus 1.0% CH composite edible coating had very fewer cracks and showed a smooth surface. These findings suggest that 10% GA plus 1.0% CH as an edible composite coating can be used commercially for extending the storage life of banana fruits for up to 33 days. PMID:21476593

  1. 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 ...

  2. 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...

  3. 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...

  4. 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

  5. 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...

  6. 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...

  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. 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...

  10. 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.

  11. 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.

  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. 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...

  14. 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.

  15. 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

  16. 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.

  17. 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...

  18. 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.

  19. 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.

  20. 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 ...

  1. 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.

  2. Knowledge-based fragment binding prediction.

    Science.gov (United States)

    Tang, Grace W; Altman, Russ B

    2014-04-01

    Target-based drug discovery must assess many drug-like compounds for potential activity. Focusing on low-molecular-weight compounds (fragments) can dramatically reduce the chemical search space. However, approaches for determining protein-fragment interactions have limitations. Experimental assays are time-consuming, expensive, and not always applicable. At the same time, computational approaches using physics-based methods have limited accuracy. With increasing high-resolution structural data for protein-ligand complexes, there is now an opportunity for data-driven approaches to fragment binding prediction. We present FragFEATURE, a machine learning approach to predict small molecule fragments preferred by a target protein structure. We first create a knowledge base of protein structural environments annotated with the small molecule substructures they bind. These substructures have low-molecular weight and serve as a proxy for fragments. FragFEATURE then compares the structural environments within a target protein to those in the knowledge base to retrieve statistically preferred fragments. It merges information across diverse ligands with shared substructures to generate predictions. Our results demonstrate FragFEATURE's ability to rediscover fragments corresponding to the ligand bound with 74% precision and 82% recall on average. For many protein targets, it identifies high scoring fragments that are substructures of known inhibitors. FragFEATURE thus predicts fragments that can serve as inputs to fragment-based drug design or serve as refinement criteria for creating target-specific compound libraries for experimental or computational screening. PMID:24762971

  3. Detection of Cardamom mosaic virus and Banana bract mosaic virus in cardamom using SYBR Green based reverse transcription-quantitative PCR.

    Science.gov (United States)

    Siljo, A; Bhat, A I; Biju, C N

    2014-01-01

    Cardamom being perennial, propagated vegetatively, detecting viruses in planting material is important to check the spread of viruses through infected material. Thus development of effective and sensitive assay for detection of viruses is need of the time. In this view, assay for the detection of Cardamom mosaic virus (CdMV) and Banana bract mosaic virus (BBrMV), infecting cardamom was developed using SYBR Green one step reverse transcription-quantitative PCR (RT-qPCR). The RT-qPCR assay amplified all isolates of CdMV and BBrMV tested but no amplification was obtained with RNA of healthy plants. Recombinant plasmids carrying target virus regions corresponding to both viruses were quantified, serially diluted and used as standards in qPCR to develop standard curve to enable quantification. When tenfold serial dilutions of the total RNAs from infected plants were tested through RT-qPCR, the detection limit of the assay was estimated to be 16 copies for CdMV and 10 copies for BBrMV, which was approximately 1,000-fold higher than the conventional RT-PCR. The RT-qPCR assay was validated by testing field samples collected from different cardamom growing regions of India. This is the first report of RT-qPCR assay for the detection of CdMV and BBrMV in cardamom. PMID:24426323

  4. Banana cultivars, cultivation practices, and physicochemical properties.

    Science.gov (United States)

    Arvanitoyannis, I S; Mavromatis, A

    2009-02-01

    The physicochemical (pH, texture, Vitamin C, ash, fat, minerals) and sensory properties of banana were correlated with the genotype and growing conditions. Minerals in particular were shown to discriminate banana cultivars of different geographical origin quite accurately. Another issue relates to the beneficial properties of bananas both in terms of the high dietary fiber and antioxidant compounds, the latter being abundant in the peel. Therefore, banana can be further exploited for extracting several important components such as starch, and antioxidant compounds which can find industrial and pharmaceutical applications. Finally, the various storage methodologies were presented with an emphasis on Modified Atmosphere Packaging which appears to be one of the most promising of technologies. PMID:18989831

  5. 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)

  6. 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 ...

  7. 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.

  8. 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.

  9. 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…

  10. 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.

  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. 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

    2014-01-01

    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. PMID:24854442

  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. Insect non-preference and reduced virus multiplication on irradiated banana cv lakatan resistant to banana bunchy top virus (BBTV)

    International Nuclear Information System (INIS)

    Gamma-irradiated ''Lakatan'' bananas have demonstrated resistance against Banana Bunchy Top Disease (BBTD) caused by Banana bunchy top virus (BBTV). Resistance to mutant lines to BBTV were characterized and evaluated based on host- insect vector relationship, symptomology, and virus multiplication. Resistance to the insect vector, Pentalonia nigronervosa, was elucidated by artificially inoculating individual lines with 20 viculiferous aphids. Insect preference was determined by counting the number of aphids per plant at a weekly interval. Reaction of the different irradiated lines to the disease was observed through symptomatic expression while resistance to virus multiplication was determined by knowing the titer of BBTV on the different mutant lines through Enzyme-Linked Immunosorbent Assay (ELISA). Results showed that there were differences an aphid preference based on mean aphid colony count on irradiated lines. Disease incidence was significantly higher on lines that were preferred by aphids and lower on those that were not colonized. For example, line 6-30-2 was observed to be most preferred having a mean colony count of 63.9 and disease incidence of 66.67% while line 9-28-2 was not preferred having a mean colony count of 26.3 and disease incidence of 11.11%. Non-irradiated banana cv Lakatan was observed to have a mean aphid colony count of 41.3 and disease incidence of 33.33%. Virus titer was also higher on irradiated lines with high aphid colony count and disease incidence. ELISA absorbance at 405 nm of lines 6-30-2 and 9-28-2 ranged from 0.138-0.712 and 0.126-0.423, respectively while that of non-irradiated banana cv Lakatan as negative and positive controls gave an absorbance of 0.145 and 0.680, respectively. Based on the results of the study, non-preference of the aphid vector to colonize and reproduce in irradiated plants contributed to lower BBTD infection and lower titer of the virus in tested materials. (author)

  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. Wavelet-based prediction of oil prices

    International Nuclear Information System (INIS)

    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

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

    International Nuclear Information System (INIS)

    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

  18. 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.

  19. 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.

  20. 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."…

  1. 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.

  2. 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...

  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. 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...

  5. 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....

  6. 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

  7. 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

  8. Physically based prediction of earthquake induced landsliding

    Science.gov (United States)

    Marc, Odin; Meunier, Patrick; Hovius, Niels; Gorum, Tolga; Uchida, Taro

    2015-04-01

    Earthquakes are an important trigger of landslides and can contribute significantly to sedimentary or organic matter fluxes. We present a new physically based expression for the prediction of total area and volume of populations of earthquake-induced landslides. This model implements essential seismic processes, linking key parameters such as ground acceleration, fault size, earthquake source depth and seismic moment. To assess the model we have compiled and normalized a database of landslide inventories for 40 earthquakes. We have found that low landscape steepness systematically leads to overprediction of the total area and volume of landslides. When this effect is accounted for, the model is able to predict within a factor of 2 the landslide areas and associated volumes for about two thirds of the cases in our databases. This is a significant improvement on a previously published empirical expression based only on earthquake moment, even though the prediction of total landslide area is more difficult than that of volume because it is affected by additional parameters such as the depth and continuity of soil cover. Some outliers in terms of observed landslide intensity are likely to be associated with exceptional rock mass properties in the epicentral area. Others may be related to seismic source complexities ignored by the model. However, most cases in our catalogue seem to be relatively unaffected by these two effects despite the variety of lithologies and tectonic settings they cover. This makes the model suitable for integration into landscape evolution models, and application to the assessment of secondary hazards and risks associated with earthquakes.

  9. 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...

  10. 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

  11. Base drag prediction on missile configurations

    Science.gov (United States)

    Moore, F. G.; Hymer, T.; Wilcox, F.

    1993-01-01

    New wind tunnel data have been taken, and a new empirical model has been developed for predicting base drag on missile configurations. The new wind tunnel data were taken at NASA-Langley in the Unitary Wind Tunnel at Mach numbers from 2.0 to 4.5, angles of attack to 16 deg, fin control deflections up to 20 deg, fin thickness/chord of 0.05 to 0.15, and fin locations from 'flush with the base' to two chord-lengths upstream of the base. The empirical model uses these data along with previous wind tunnel data, estimating base drag as a function of all these variables as well as boat-tail and power-on/power-off effects. The new model yields improved accuracy, compared to wind tunnel data. The new model also is more robust due to inclusion of additional variables. On the other hand, additional wind tunnel data are needed to validate or modify the current empirical model in areas where data are not available.

  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. 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

  14. 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.

  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. 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.

  17. Banana Algebra: Compositional syntactic language extension

    DEFF Research Database (Denmark)

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

    2013-01-01

    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 of...

  18. 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)

  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. 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.

  1. Genetic diversity and recombination analysis in the coat protein gene of Banana bract mosaic virus.

    Science.gov (United States)

    Balasubramanian, V; Selvarajan, R

    2014-06-01

    Banana bract mosaic virus (BBrMV), a member of the genus Potyvirus, family Potyviridae, is the causal agent of the bract mosaic disease (BBrMD) that causes serious yield losses in banana and plantain in India and the Philippines. In this study, global genetic diversity and molecular evolution of BBrMV based on the capsid protein (CP) gene were investigated. Multiple alignments of CP gene of 49 BBrMV isolates showed nucleotide (nt) and amino acid (aa) identity of 79-100 and 80-100 %, respectively. Phylogenetic analysis revealed that except two Indians isolates (TN14 and TN16), all isolates clustered together. Eleven recombination events were detected using Recombination Detection Program. Codon-based maximum-likelihood methods revealed that most of the codons in the CP gene were under negative or neutral selection except for codons 28, 43, and 92 which were under positive selection. Gene flow between BBrMV populations of banana and cardamom was relatively frequent but not between two different populations of banana infecting isolates identified in this study. This is the first report on genetic diversity, and evolution of BBrMV isolates based on recombination and phylogenetic analysis in India. PMID:24691817

  2. 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-...

  3. Third-Year Banana Cultivar Trial in South Georgia

    OpenAIRE

    Fonsah, Esendugue Greg; Krewer, Gerard; Rieger, Mark; Wallace, Richard

    2006-01-01

    Although the State of Georgia produces many fruits such as, apples, blueberries, strawberries, blackberries, grapes and peaches, bananas have never been considered an economic crop. This is probably because of marginal weather condition for bananas and massive imports from Central and South America. This study, which is in its third year, continually evaluates 32 banana cultivars and determines their suitability for production, marketing, and distribution in Georgia.

  4. 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. PMID:25151825

  5. 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.

  6. 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 ...

  7. Generalized ripple-banana transport in a tokamak

    International Nuclear Information System (INIS)

    The paper considers the transport of banana particles in a rippled magnetic field over the entire energy range. It is shown that all familiar regimes of ripple transport - ripple-plateau, banana-drift and stochastic - can be described in a unified manner. The general expression obtained for the rippled fluxes of banana particles describes, apart from the already familiar regimes, also the as yet unstudied energy region between the drift and stochastic regimes. A generalized ripple-banana thermal conductivity coefficient, chisub(i)sup(RB), is calculated. (author)

  8. 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...

  9. Cultivation of Pleurotus sajor-caju on banana stalk and Bahia grass based substrates Cultivo de Pleurotus sajor-caju em substratos a base de grama batatais e engaço de bananeira

    Directory of Open Access Journals (Sweden)

    Félix G de Siqueira

    2011-06-01

    Full Text Available Banana stalks and Bahia grass were utilized as basic starting materials for the production of the mushroom Pleurotus sajor-caju. Banana stalks were combined with other waste or supplement products (wheat bran, coast-cross hay, bean straw and cotton textile mill to obtain different nitrogen concentrations. Since Bahia grass is relatively rich in protein, it was combined with other substrates (banana stalk, coast-cross hay and bean straw to maintain a substrate nitrogen concentration of about 1.5%. Banana stalks and Bahia grass were both more efficient in the production of the mushroom P. sajor-caju when utilized without the addition of other substrates, with biological efficiencies of 74.4% and 74.12%, respectively. When combined with other substrates or grasses, there was a drop in biological efficiency, independent of the concentration of nitrogen. Furthermore, the addition of protein-rich waste to banana stalks resulted in a decrease or absence of fructification, which indicates that high concentrations of nitrogen in the cultivation substrate may hinder the cultivation of this mushroom. On the other hand, results reveal that the ideal concentration of nitrogen may depend on other physicochemical factors and these factors may determine the success in cultivating P. sajor-caju. Therefore, we conclude that P. sajor-caju may be cultivated on banana stalk and Bahia grass as pure substrates, not being necessary their supplementation or combine them with another substrates.O engaço de bananeira e a grama batatais foram utilizados como matérias-primas básicas para a produção do substrato de cultivo do cogumelo Pleurotus sajor-caju. O engaço de bananeira foi combinado com outros resíduos (farelo de trigo, capim "Coast-cross", palha de feijão e resíduo de lixadeira de algodão, com o objetivo de se obter substratos com diferentes concentrações de nitrogênio. Como a grama batatais é relativamente rica em proteína, a mesma foi combinada com

  10. Nanocomposites of rice and banana flours blend with montmorillonite: partial characterization.

    Science.gov (United States)

    Rodríguez-Marín, María L; Bello-Pérez, Luis A; Yee-Madeira, Hernani; Zhong, Qixin; González-Soto, Rosalía A

    2013-10-01

    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. PMID:23910294

  11. 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.

  12. 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

  13. 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

  14. 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.

  15. 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.

  16. 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...

  17. 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...

  18. Pseudomonas fluorescens Induced Enzymological Changes in Banana Roots (Cv. Rasthali) against Fusarium Wilt Disease

    OpenAIRE

    Saravanan, T.; Bhaskaran, R.; M. Muthusamy

    2004-01-01

    Pseudomonas fluorescens isolated from banana rhizosphere reduced the vascular discolouration associated with Fusarium wilt disease and induced the accumulation of resistance associated enzymes in roots. The banana roots inoculated with talc based formulation of P. fluorescens at 10 g / plant had minimum vascular discolouration index when compared to pathogen Fusarium oxysporum f.sp. cubense alone inoculated roots. The resistance associated enzymes viz., peroxidase and polyphenol oxidase activ...

  19. 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 ...

  20. Edible Coating for Shelf-Life Extension of Fresh Banana Fruit Based on Gamma Irradiated Plasticized Poly(vinyl alcohol)/Carboxymethyl Cellulose/Tannin Composites

    OpenAIRE

    Magdy M. H. Senna; Al-Shamrani, Khalid M.; Abdullah S. Al-Arifi

    2014-01-01

    The interest in the development of edible and biodegradable films has increased because it is every day more evident that non-degradable materials are doing much damage to the environment. Blends based on different ratios of plasticized poly(vinyl alcohol) (PVA), carboxymethyl cellulose (CMC) and Tannin compound were prepared by solution casting in the form of thin films. Then the blend films were exposed to different doses of gamma radiation. First, the effect of gamma irradiation and t...

  1. 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.

  2. 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. PMID:20689184

  3. 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.

  4. 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.

  5. 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.

  6. 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.

  7. 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

  8. 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’, ‘...

  9. 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

  10. [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

  11. ''In vivo'' methodology for mutation induction in banana, cultivar ''Maca''

    International Nuclear Information System (INIS)

    Full text: The ''Maca'' cultivar is a banana of high acceptability in the south west of Brazil. However, it is very susceptible to several diseases. Due to the difficulties in the application of the traditional plant breeding methods, the Radiation Genetics Section of CENA is utilising the ''in vivo'', and the ''in vitro'' mutation breeding approach. The ''in vivo'' methodology is based on the work of HAMILTON. This method is being utilised in Brazil for rapid banana propagation. Rhizomes (20 cm diameter) were obtained from young field grown plants before flower differentiation. In these rhizomes, only 5-6 leaf sheaths were retained, the others being removed. The rhizomes were maintained in a greenhouse in boxes with vermiculite, covered with plastic. After one week, all leaf sheaths were removed, until the exposure of the meristematic apex with about 2 mm size. This apex was cut off with a scalpel and a cross shaped cut (2,5 cm) was made. This stimulates the development of lateral buds. After four months, the meristematic apices of these new buds were cut off in the same way and immediately the rhizomes were irradiated with gamma rays. Around the eliminated lateral buds callus developed and new lateral buds were formed. The LD50 in relation to the number of these new buds produced was around 30 Gy. According to the author of the original method, from the callus one can obtain axillary or adventitious buds. In the early stages it is possible, based on the shape, to distinguish both types. The advantage of utilising adventitious buds originating from only one cell to avoid chimerism is well known in mutation breeding. However, it is not certain whether this is the case in the present method. After detachment from rhizomes and rooting in soil, plants with 15-20 cm height were inoculated with Fusarium oxysporum f.sp. cubense. After 3 weeks the plants showed symptoms of the Panama disease and screening could be done at this stage. The total time between the removal of

  12. 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...

  13. 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.

  14. Fructan distribution in banana cultivars and effect of ripening and processing on Nendran banana.

    Science.gov (United States)

    Shalini, R; Antony, Usha

    2015-12-01

    Many plants store fructan as reserve carbohydrate. Fructans naturally present in almost all plant foods, are also used as functional ingredients by the food industry to modify the texture and taste due to their properties as gelling agents, fat substitutes, soluble dietary fibers and low calorie sweeteners. Seven banana cultivars were analysed for fructans and Nendran banana was selected for the next set of experiments as it had the highest fructan content (1433.3 mg/100 g) among the cultivars studied. Low temperature ripening (16 °C) of Nendran banana resulted in higher fructan accumulation of these carbohydrates in cold conditions. Pectinase pre-treatment significantly increased yield of total fructans from 1.4/100 g to 6.5 g/100 g i.e., 370 %. Fructan composition was affected by processing, namely steaming and puree preparation in Nendran. The fructan composition data documented in this study will enable including banana, naturally high in fructans in the diet and will facilitate storage and processing for nutritional formulation for higher fructan consumption. PMID:26604400

  15. 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

  16. 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.

  17. Base Oils Biodegradability Prediction with Data Mining Techniques

    OpenAIRE

    Malika Trabelsi; Saloua Saidane; Sihem Ben Abdelmelek

    2010-01-01

    In this paper, we apply various data mining techniques including continuous numeric and discrete classification prediction models of base oils biodegradability, with emphasis on improving prediction accuracy. The results show that highly biodegradable oils can be better predicted through numeric models. In contrast, classification models did not uncover a similar dichotomy. With the exception of Memory Based Reasoning and Decision Trees, tested classification techniques achieved high classifi...

  18. Involvement of phenolic compounds in the susceptibility of bananas to crown rot. A review.

    OpenAIRE

    Lassois, L.; de Lapeyre de Bellaire, L; Ewané, CA.; Lepoivre, P

    2012-01-01

    Crown rot of bananas, caused by a fungal parasitic complex, is one of the main quality defects of exported bananas. Major variations in the susceptibility of bananas to crown rot have been observed in different production zones. The physiological state of the banana fruit at harvest is said to influence its response to pathogenic attack and thus to modulate its susceptibility to crown rot. The susceptibility of bananas to this disease, however, appears to be influenced by many pre-harvest fac...

  19. 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...

  20. 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...

  1. 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 Nath; Lorenzen, Jim; Bahar, Ofir; Ronald, Pamela; Tripathi, Leena

    2014-01-01

    Summary 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, bio-control 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 plants in the glass house for resistance against Xcm. About fifty percent of the transgenic lines showed complete resistance to Xcm in both assays. In contrast, all of the non-transgenic 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. PMID:24612254

  2. 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. PMID:24612254

  3. 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.

  4. 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.

  5. 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.

  6. 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...

  7. Effects of four organic amendments on banana parasitic nematodes and soil nematode communities

    OpenAIRE

    Tabarant, P.; Villenave, Cécile; Risede, J. M.; J. Roger-Estrade; Thuries, L.; Dorel, M

    2011-01-01

    Plant-parasitic nematodes are injurious crop pests that have been managed mainly by chemical nematicides. However, safe and alternative methods such as those based on organic materials need to be developed. Our study has evaluated (i) the effects of four organic amendments with different biochemical compositions that are abundantly produced in the study area (Guadeloupe, French West Indies) on soil nematode communities and (ii) some of the suppression mechanisms of banana parasitic nematodes,...

  8. 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...

  9. 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.

  10. Ensemble-based prediction of RNA secondary structures

    OpenAIRE

    Aghaeepour, Nima; Hoos, Holger H

    2013-01-01

    Background Accurate structure prediction methods play an important role for the understanding of RNA function. Energy-based, pseudoknot-free secondary structure prediction is one of the most widely used and versatile approaches, and improved methods for this task have received much attention over the past five years. Despite the impressive progress that as been achieved in this area, existing evaluations of the prediction accuracy achieved by various algorithms do not provide a comprehensive,...

  11. Size-based predictions of food web patterns

    DEFF Research Database (Denmark)

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

    2014-01-01

    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 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 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...

  12. Tissue culture regeneration and radiation induced mutagenesis in banana

    International Nuclear Information System (INIS)

    Radiation induced mutagenesis is an important tool for banana genetic improvement. At BARC, protocols for shoo-tip multiplication of commercial banana varieties have been developed and transferred to user agencies for commercial production. Excellent embryogenic cell suspensions were established in banana cvs. Rasthali and Rajeli, and were maintained at low temperatures for long-term storage. Normal plantlets were successfully regenerated from these cell suspensions. The cell suspensions and shoot-tip cultures were gamma-irradiated for mutagenesis. The mutagenized populations were field screened and a few interesting mutants have been isolated. The existence of genetic variation was confirmed using DNA markers. Further evaluation of these mutants is in progress. (author)

  13. Prediction of Mortality Based on Facial Characteristics.

    Science.gov (United States)

    Delorme, Arnaud; Pierce, Alan; Michel, Leena; Radin, Dean

    2016-01-01

    Recent studies have shown that characteristics of the face contain a wealth of information about health, age and chronic clinical conditions. Such studies involve objective measurement of facial features correlated with historical health information. But some individuals also claim to be adept at gauging mortality based on a glance at a person's photograph. To test this claim, we invited 12 such individuals to see if they could determine if a person was alive or dead based solely on a brief examination of facial photographs. All photos used in the experiment were transformed into a uniform gray scale and then counterbalanced across eight categories: gender, age, gaze direction, glasses, head position, smile, hair color, and image resolution. Participants examined 404 photographs displayed on a computer monitor, one photo at a time, each shown for a maximum of 8 s. Half of the individuals in the photos were deceased, and half were alive at the time the experiment was conducted. Participants were asked to press a button if they thought the person in a photo was living or deceased. Overall mean accuracy on this task was 53.8%, where 50% was expected by chance (p clairvoyance warrants further investigation. PMID:27242466

  14. 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...

  15. 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.

  16. Using intron position conservation for homology-based gene prediction.

    Science.gov (United States)

    Keilwagen, Jens; Wenk, Michael; Erickson, Jessica L; Schattat, Martin H; Grau, Jan; Hartung, Frank

    2016-05-19

    Annotation of protein-coding genes is very important in bioinformatics and biology and has a decisive influence on many downstream analyses. Homology-based gene prediction programs allow for transferring knowledge about protein-coding genes from an annotated organism to an organism of interest.Here, we present a homology-based gene prediction program called GeMoMa. GeMoMa utilizes the conservation of intron positions within genes to predict related genes in other organisms. We assess the performance of GeMoMa and compare it with state-of-the-art competitors on plant and animal genomes using an extended best reciprocal hit approach. We find that GeMoMa often makes more precise predictions than its competitors yielding a substantially increased number of correct transcripts. Subsequently, we exemplarily validate GeMoMa predictions using Sanger sequencing. Finally, we use RNA-seq data to compare the predictions of homology-based gene prediction programs, and find again that GeMoMa performs well.Hence, we conclude that exploiting intron position conservation improves homology-based gene prediction, and we make GeMoMa freely available as command-line tool and Galaxy integration. PMID:26893356

  17. Banana research in the FAO/IAEA agriculture and biotechnology laboratory

    International Nuclear Information System (INIS)

    The primary activity of the Agriculture and Biotechnology Laboratory on banana has been to develop and transfer mutation techniques using nuclear and related biotechnology, provide training and mutagen treatment services and technical advice to the Member States. The complex genetic nature and lack of seed formation do not allow conventional breeding of Musa varieties. The FAO/IAEA laboratory has developed in vitro techniques to induce mutations, minimize chimerisms, and rapid propagation of banana. The most commonly used method of propagation is rapid proliferation of axillary and adventitious buds from meristem tip culture. Somatic embryogenesis has been induced in clones with different genomic constitution; however, the low germination rate of somatic embryos is still a major constraint. Investigations have been carried out on enzymes associated with resistance to Fusarium oxisporum f. sp. cubense. Molecular methods based on DNA oligonucleotide and DNA amplification fingerprinting are being developed for genomic characterization of species, cultivars and mutant clones. (author)

  18. 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.

  19. 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

  20. The effects of banana peel preparations on the properties of banana peel dietary fibre concentrate

    Directory of Open Access Journals (Sweden)

    Phatcharaporn Wachirasiri

    2010-01-01

    Full Text Available Four different preparation methods of banana peel, dry milling, wet milling, wet milling and tap water washing, and wet milling and hot water washing were investigated on their effects on the chemical composition and properties of the banana peel dietary fibre concentrate (BDFC. The dry milling process gave the BDFC a significant higher fat, protein, and starch content than the wet milling process, resulting in a lower water holding capacity (WHC and oil holding capacity(OHC. Washing after wet milling could enhance the concentration of total dietary fibre by improving the removal of protein and fat. Washing with hot water after wet milling process caused a higher loss of soluble fibre fraction, resulting in a lower WHC and OHC of the obtained BDFC when compared to washing with tap water. Wet milling and tap water washing gave the BDFC the highest concentration of total and soluble dietary fibre, WHC and OHC.

  1. 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 ...

  2. 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 (EwE)) and...... predictions, underscoring the importance of incorporating knowledge of model assumptions and limitation, possibly through using model ensembles, when providing model-based scientific advice to policy makers....

  3. 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...

  4. 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.

  5. 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.

  6. 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

  7. In vitro selection for resistance to Fusarium wilt in Banana

    International Nuclear Information System (INIS)

    Fusarium wilt or Panama disease, caused by the fungus Fusarium oxysporum f. sp. cubense (FOC), is one of the most serious diseases of banana in tropical and subtropical countries. Although there are banana cultivars resistant to the disease, transfer of the resistance trait to susceptible cultivars by traditional cross-breeding is difficult. In vitro selections of banana mutants tolerant to race 1 of FOC were carried out with fusaric acid and culture filtrate on multiple bud clumps. Regenerated plants showed tolerance to the disease in the greenhouse, and some of the plants also showed resistance in the field. Although the level of tolerance observed was not sufficiently high, in vitro selection by toxic substances extracted from pathogenic fungi resulted in an improvement of plant tolerance to the pathogen. Other selection factors for in vitro selection were reviewed, and a protocol for obtaining disease tolerant plants of banana is suggested. (author)

  8. 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.

  9. Brain Emotional Learning-Based Prediction Model (For Long-Term Chaotic Prediction Applications)

    OpenAIRE

    Parsapoor, Mahboobeh

    2016-01-01

    This study suggests a new prediction model for chaotic time series inspired by the brain emotional learning of mammals. We describe the structure and function of this model, which is referred to as BELPM (Brain Emotional Learning-Based Prediction Model). Structurally, the model mimics the connection between the regions of the limbic system, and functionally it uses weighted k nearest neighbors to imitate the roles of those regions. The learning algorithm of BELPM is defined using steepest des...

  10. 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.

  11. 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. ...

  12. 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.

  13. 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...

  14. IN VITRO SHOOT TIP CULTURE OF BANANA CULTIVAR MEITEI HEI

    OpenAIRE

    ROBERT LALRINSANGA; H. VANLALDIKI; W. I. MEITEI

    2013-01-01

    Micropopagation is preferred over the conventional method of propagation in banana owing to its fastermultiplication rate, uniformity in planting materials, production of disease-free planting materials, higherbunch weight, more fingers and hands and less variability in fruit size and shape. The apical meristem orshoot-tip culture is very efficient for rapid clonal micropopagation. Though abundant information on themicropropagation of banana is available for cultivars in India and abroad, the...

  15. 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)

  16. IDENTIFICATION OF THREE FRUIT-ROT FUNGI OF BANANA BY 28S RIBOSOMAL DNA SEQUENCING

    Directory of Open Access Journals (Sweden)

    Supriya Sarkar*, S Girisham and SM Reddy

    2013-01-01

    Full Text Available The aim of present investigation was to identify three fruit-rot fungi-Macrophomina phaseolina (Tassi Goid, Fusarium oxysporum (Schlechtend and Nigrospora oryzae (Berk and Br. Petch isolated from banana fruits [Rasthali (Silk AAB and Cavendish (AAA varieties]. Out of different fungal genera isolated, the above fungi were responsible for maximum loss of banana fruits as they spread rapidly into the fruit pulp and deteriorated the fruits. The amplification studies of fragment of D2 region of LSU (Large subunit 28S rDNA gene of three fungi understudy was carried out using PCR technique. Based on the nucleotide homology and phylogenetic analysis, the fungus M. phaseolina was identified as M. phaseolina strain R-4242 sp. (Genbank accession number: FJ415068.1, F. oxysporum as Fusarium sp.QJC-1403 5.8S ribosomal RNA gene sp. (Genbank accession number: EU193176.1 and N. oryzae as N. oryzae NRRL: 54030 sp. (Genbank accession number: GQ328855.1. Nucleic acid sequencing provides more objective separation of genera and species than that provided by the conventional techniques. This technique can best be used for the identification of organisms that could not be identified satisfactorily by their microscopic morphological features. Genetic characterization of plant pathogens prevalent in an area is necessary for efficient management and increased crop productivity. The data presented may help researchers to understand the host-pathogen interactions indetail in banana, to design effective strategies for deployment of resistant genes in banana (Musa paradisiaca L. growing regions in the country and worldwide.

  17. 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)

  18. 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.

  19. 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

  20. 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)

  1. 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.

  2. 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.

  3. 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...... almost no doubt that the objective function is to maximize the height reached by the body center of mass. But, finding the proper objective function for other motions is not always as straight forward as in jumping. The existence of a “right” criterion for different tasks or indeed whether any single...... performance criterion is capable of predicting realistic motions for a wide range of dynamic human movements remain open questions. In this thesis, we investigated the validity of different physiology-based cost functions for the prediction of kinematic and kinetic patterns for different human postures and...

  4. 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.

  5. Predictive PID Control Based on GPC Control of Inverted Pendulum

    Directory of Open Access Journals (Sweden)

    Safa Bouhajar

    2014-05-01

    Full Text Available Having regard to the large application of the inverted pendulum in robotic system, this study is interested in controlling this process with two strategies of controls. The first proposed control is the state feedback with an observer based on the Generalized Predictive Control (GPC algorithm. In the second proposed control we used the characteristic of predictive control GPC to improve the performance of the classical PID controller. The obtained results have been discussed and compared; the simulation results obtained by the predictive PID control are mentioned.

  6. Neural Network Predictive Control Based Power System Stabilizer

    OpenAIRE

    Ali Mohamed Yousef

    2012-01-01

    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 ...

  7. 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...

  8. 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.

  9. Proteomic analysis of differentially expressed proteins involved in ethylene-induced chilling tolerance in harvested banana fruit.

    Science.gov (United States)

    Li, Taotao; Yun, Ze; Zhang, Dandan; Yang, Chengwei; Zhu, Hong; Jiang, Yueming; Duan, Xuewu

    2015-01-01

    To better understand the mechanism involved in ethylene-induced chilling tolerance in harvested banana fruit, a gel-based proteomic study followed by MALDI-TOF-TOF MS was carried out. Banana fruit were treated with 500 ppm ethylene for 12 h and then stored at 6°C. During cold storage, the chilling tolerance was assessed and the proteins from the peel were extracted for proteomic analysis. It was observed that ethylene pretreatment significantly induced the chilling tolerance in harvested banana fruit, manifesting as increases in maximal chlorophyll fluorescence (Fv/Fm) and decreased electrolyte leakage. Sixty-four proteins spots with significant differences in abundance were identified, most of which were induced by ethylene pretreatment during cold storage. The up-regulated proteins induced by ethylene pretreatment were mainly related to energy metabolism, stress response and defense, methionine salvage cycle and protein metabolism. These proteins were involved in ATP synthesis, ROS scavenging, protective compounds synthesis, protein refolding and degradation, and polyamine biosynthesis. It is suggested that these up-regulated proteins might play a role in the ethylene-induced chilling tolerance in harvested banana fruit. PMID:26528309

  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. 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.

  12. 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.

  13. 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.

  14. Epitope Prediction Based on Random Peptide Library Screening: Benchmark Dataset and Prediction Tools Evaluation

    OpenAIRE

    Yanxin Huang; Hongyan Wang; Zhiqiang Ma; Yinghua Lv; Pingping Sun; Wenhan Chen

    2011-01-01

    Epitope prediction based on random peptide library screening has become a focus as a promising method in immunoinformatics research. Some novel software and web-based servers have been proposed in recent years and have succeeded in given test cases. However, since the number of available mimotopes with the relevant structure of template-target complex is limited, a systematic evaluation of these methods is still absent. In this study, a new benchmark dataset was defined. Using this benchmark ...

  15. 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.

  16. 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

  17. 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

  18. 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.

  19. 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.

  20. 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...

  1. 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.

  2. 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.

  3. 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

  4. 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...

  5. 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...

  6. 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...

  7. 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.

  8. 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.

  9. 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%.

  10. 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.

  11. 77 FR 22510 - Importation of Fresh Bananas From the Philippines Into the Continental United States

    Science.gov (United States)

    2012-04-16

    ...), bananas would have to be harvested at a hard green stage. Harvesting bananas at a hard green stage (i.e... certify that bananas were harvested at the hard green stage. Under paragraph (h)(2), the NPPO of the... ADDRESSES above for instructions for accessing Regulations.gov ). The United States is a minor producer...

  12. 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…

  13. 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...

  14. Subpopulation level variation of banana streak viruses in India and common evolution of banana and sugarcane badnaviruses.

    Science.gov (United States)

    Sharma, Susheel Kumar; Vignesh Kumar, P; Geetanjali, A Swapna; Pun, Khem Bahadur; Baranwal, Virendra Kumar

    2015-06-01

    Genome sequences of three episomal Banana streak MY virus (BSMYV) isolates sampled from triploid banana hybrids (Chini Champa: AAB; Malbhog: AAB and Monthan: ABB), grown in North-East and South India are reported in this study by sequence-independent improved rolling circle amplification (RCA). RCA coupled with restriction fragment length polymorphism revealed diverse restriction profiles of five BSMYV isolates. Nucleotide substitution rates of BSMYV subpopulation and Banana streak OL virus subpopulation was 7.13 × 10(-3) to 1.59 × 10(-2) and 2.65 × 10(-3) to 5.49 × 10(-3), respectively, for the different coding regions. Analysis of the genetic diversity of banana and sugarcane badnaviruses revealed a total of 32 unique recombination events among banana and sugarcane badnaviruses (inter BSV-SCBV), in addition to the extensive recombination with in banana streak viruses and sugarcane bacilliform viruses (intra-BSV and intra-SCBV). Many unique fragments were shown to contain similar ruminant sequence fragments which indicated the possibility that the two groups of badnaviruses or their ancestors to colonise same host before making the host shift. The distribution of recombination events, hot-spots (intergenic region and C-terminal of ORF3) as well as cold-spots (distributed in ORF3) displayed the mirroring of recombination traces in both group of badnaviruses. These results support the hypothesis of relatedness of banana and sugarcane badnaviruses and the host and geographical shifts that followed the fixation of the species complex appear to be a recent event. PMID:25672291

  15. 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.

  16. Network planning tool based on network classification and load prediction

    OpenAIRE

    Hammami, Seif eddine; Afifi, Hossam; Marot, Michel; Gauthier, Vincent

    2016-01-01

    Real Call Detail Records (CDR) are analyzed and classified based on Support Vector Machine (SVM) algorithm. The daily classification results in three traffic classes. We use two different algorithms, K-means and SVM to check the classification efficiency. A second support vector regression (SVR) based algorithm is built to make an online prediction of traffic load using the history of CDRs. Then, these algorithms will be integrated to a network planning tool which will help cellular operators...

  17. 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

  18. 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.

  19. 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.

  20. 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.

  1. 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.

  2. 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

  3. Predicting carcinogenicity of organic compounds based on CPDB.

    Science.gov (United States)

    Wu, Xiuchao; Zhang, Qingzhu; Wang, Hui; Hu, Jingtian

    2015-11-01

    Cancer is a major killer of human health and predictions for the carcinogenicity of chemicals are of great importance. In this article, predictive models for the carcinogenicity of organic compounds using QSAR methods for rats and mice were developed based on the data from CPDB. The models was developed based on the data of specific target site liver and classified according to sex of rats and mice. Meanwhile, models were also classified according to whether there is a ring in the molecular structure in order to reduce the diversity of molecular structure. Therefore, eight local models were developed in the final. Taking into account the complexity of carcinogenesis and in order to obtain as much information, DRAGON descriptors were selected as the variables used to develop models. Fitting ability, robustness and predictive power of the models were assessed according to the OECD principles. The external predictive coefficients for validation sets of each model were in the range of 0.711-0.906, and for the whole data in each model were all greater than 0.8, which represents that all models have good predictivity. In order to study the mechanism of carcinogenesis, standardized regression coefficients were calculated for all predictor variables. In addition, the effect of animal sex on carcinogenesis was compared and a trend that female showed stronger tolerance for cancerogen than male in both species was appeared. PMID:26070146

  4. 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.

  5. 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

  6. 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.

  7. 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.

  8. 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.

  9. 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.

  10. Radiation mutation induction in 'China Tianbao' banana

    International Nuclear Information System (INIS)

    This paper presents the results of irradiation experiments using 'China Tianbao' banana (Musa cv., AAA group) using in vitro culture methods. Explants of 3.0 to 6.0 mm long intact shoot tips, and shoot tips dissected longitudinally, were irradiated with 60Co. Differences in the radiation dose-survival response of the explants were observed among the different culture groups. The LD50 dosages for intact shoot-tips and longitudinally dissected shoot-tips were 42.5 Gy and 38.69 Gy respectively. A regression equation of probability unit (Y) of death percentage of longitudinally dissected shoot-tips to dose logarithm (X) was established as Y 4.1703X -1.6029. In the irradiated materials which resumed growth after 45 days, statistical analyses suggested that there was no significant correlation between the rate of proliferation of treated materials and radiation dose, or between the proliferation rate and the technique used to prepare the materials (intact vs. longitudinally dissected). Experimental procedures were improved to decrease microbial contamination. (author). 12 refs, 3 figs, 6 tabs

  11. 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.

  12. 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)

  13. SHM-Based Probabilistic Fatigue Life Prediction for Bridges Based on FE Model Updating

    OpenAIRE

    Young-Joo Lee; Soojin Cho

    2016-01-01

    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 ...

  14. miRNA-target prediction based on transcriptional regulation

    Directory of Open Access Journals (Sweden)

    Fujiwara Toyofumi

    2013-02-01

    Full Text Available Abstract Background microRNAs (miRNAs are tiny endogenous RNAs that have been discovered in animals and plants, and direct the post-transcriptional regulation of target mRNAs for degradation or translational repression via binding to the 3'UTRs and the coding exons. To gain insight into the biological role of miRNAs, it is essential to identify the full repertoire of mRNA targets (target genes. A number of computer programs have been developed for miRNA-target prediction. These programs essentially focus on potential binding sites in 3'UTRs, which are recognized by miRNAs according to specific base-pairing rules. Results Here, we introduce a novel method for miRNA-target prediction that is entirely independent of existing approaches. The method is based on the hypothesis that transcription of a miRNA and its target genes tend to be co-regulated by common transcription factors. This hypothesis predicts the frequent occurrence of common cis-elements between promoters of a miRNA and its target genes. That is, our proposed method first identifies putative cis-elements in a promoter of a given miRNA, and then identifies genes that contain common putative cis-elements in their promoters. In this paper, we show that a significant number of common cis-elements occur in ~28% of experimentally supported human miRNA-target data. Moreover, we show that the prediction of human miRNA-targets based on our method is statistically significant. Further, we discuss the random incidence of common cis-elements, their consensus sequences, and the advantages and disadvantages of our method. Conclusions This is the first report indicating prevalence of transcriptional regulation of a miRNA and its target genes by common transcription factors and the predictive ability of miRNA-targets based on this property.

  15. 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.

  16. CD-Based Indices for Link Prediction in Complex Network.

    Science.gov (United States)

    Wang, Tao; Wang, Hongjue; Wang, Xiaoxia

    2016-01-01

    Lots of similarity-based algorithms have been designed to deal with the problem of link prediction in the past decade. In order to improve prediction accuracy, a novel cosine similarity index CD based on distance between nodes and cosine value between vectors is proposed in this paper. Firstly, node coordinate matrix can be obtained by node distances which are different from distance matrix and row vectors of the matrix are regarded as coordinates of nodes. Then, cosine value between node coordinates is used as their similarity index. A local community density index LD is also proposed. Then, a series of CD-based indices include CD-LD-k, CD*LD-k, CD-k and CDI are presented and applied in ten real networks. Experimental results demonstrate the effectiveness of CD-based indices. The effects of network clustering coefficient and assortative coefficient on prediction accuracy of indices are analyzed. CD-LD-k and CD*LD-k can improve prediction accuracy without considering the assortative coefficient of network is negative or positive. According to analysis of relative precision of each method on each network, CD-LD-k and CD*LD-k indices have excellent average performance and robustness. CD and CD-k indices perform better on positive assortative networks than on negative assortative networks. For negative assortative networks, we improve and refine CD index, referred as CDI index, combining the advantages of CD index and evolutionary mechanism of the network model BA. Experimental results reveal that CDI index can increase prediction accuracy of CD on negative assortative networks. PMID:26752405

  17. New Approaches for Channel Prediction Based on Sinusoidal Modeling

    Directory of Open Access Journals (Sweden)

    Ekman Torbjörn

    2007-01-01

    Full Text Available Long-range channel prediction is considered to be one of the most important enabling technologies to future wireless communication systems. The prediction of Rayleigh fading channels is studied in the frame of sinusoidal modeling in this paper. A stochastic sinusoidal model to represent a Rayleigh fading channel is proposed. Three different predictors based on the statistical sinusoidal model are proposed. These methods outperform the standard linear predictor (LP in Monte Carlo simulations, but underperform with real measurement data, probably due to nonstationary model parameters. To mitigate these modeling errors, a joint moving average and sinusoidal (JMAS prediction model and the associated joint least-squares (LS predictor are proposed. It combines the sinusoidal model with an LP to handle unmodeled dynamics in the signal. The joint LS predictor outperforms all the other sinusoidal LMMSE predictors in suburban environments, but still performs slightly worse than the standard LP in urban environments.

  18. 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%.

  19. Structure based activity prediction of HIV-1 reverse transcriptase inhibitors.

    Science.gov (United States)

    de Jonge, Marc R; Koymans, Lucien M H; Vinkers, H Maarten; Daeyaert, Frits F D; Heeres, Jan; Lewi, Paul J; Janssen, Paul A J

    2005-03-24

    We have developed a fast and robust computational method for prediction of antiviral activity in automated de novo design of HIV-1 reverse transcriptase inhibitors. This is a structure-based approach that uses a linear relation between activity and interaction energy with discrete orientation sampling and with localized interaction energy terms. The localization allows for the analysis of mutations of the protein target and for the separation of inhibition and a specific binding to the enzyme. We apply the method to the prediction of pIC(50) of HIV-1 reverse transcriptase inhibitors. The model predicts the activity of an arbitrary compound with a q(2) of 0.681 and an average absolute error of 0.66 log value, and it is fast enough to be used in high-throughput computational applications. PMID:15771460

  20. 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.

  1. A structure-based model for predicting serum albumin binding.

    Directory of Open Access Journals (Sweden)

    Katrina W Lexa

    Full Text Available One of the many factors involved in determining the distribution and metabolism of a compound is the strength of its binding to human serum albumin. While experimental and QSAR approaches for determining binding to albumin exist, various factors limit their ability to provide accurate binding affinity for novel compounds. Thus, to complement the existing tools, we have developed a structure-based model of serum albumin binding. Our approach for predicting binding incorporated the inherent flexibility and promiscuity known to exist for albumin. We found that a weighted combination of the predicted logP and docking score most accurately distinguished between binders and nonbinders. This model was successfully used to predict serum albumin binding in a large test set of therapeutics that had experimental binding data.

  2. Physiological Studies on the Marketability of Williams Banana Fruits

    Directory of Open Access Journals (Sweden)

    M.N. Tourky

    2014-01-01

    Full Text Available The effect of postharvest treatments with hot water (HW, gibberellic acid (GA3, salicylic acid (SA and potassium permanganate (KMnO4 on enhancing or delaying the ripening quality aspect of mature Williams banana fruits were investigated. Untreated and treated fruit had a normal ripening process and similar good freshness at the ripening time (45 days at ambient temperature. This clearly that the used these materials were relatively in delaying ripening and as, can be arrange the appearance of banana fruits in the market with good quality. Such, color development, peeling condition, loss of firmness, increase of pulp/peel ratio, soluble solids content, titratable acidity, pH, total sugar and total starch were used as a good criterion of assessment the banana fruit ripening.

  3. 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

  4. 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.

  5. 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

  6. The Attribute for Hydrocarbon Prediction Based on Attenuation

    International Nuclear Information System (INIS)

    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

  7. 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

  8. 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.

  9. 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.

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

    International Nuclear Information System (INIS)

    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 60Co 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)

  11. 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

  12. Microporosity Prediction and Validation for Ni-based Superalloy Castings

    Science.gov (United States)

    Guo, J.; Beckermann, C.; Carlson, K.; Hirvo, D.; Bell, K.; Moreland, T.; Gu, J.; Clews, J.; Scott, S.; Couturier, G.; Backman, D.

    2015-06-01

    Microporosityin high performance aerospace castings can reduce mechanical properties and consequently degrade both component life and durability. Therefore, casting engineers must be able to both predict and reduce casting microporosity. A dimensionless Niyama model has been developed [1] that predicts local microporosity by accounting for local thermal conditions during casting as well as the properties and solidification characteristics of the cast alloy. Unlike the well-known Niyama criterion, application of the dimensionless Niyama model avoids the need to find a threshold Niyama criterion below which shrinkage porosity forms - a criterion which can be determined only via extensive alloy dependent experimentation. In the present study, the dimensionless Niyama model is integrated with a commercial finite element casting simulation software, which can now more accurately predict the location-specific shrinkage porosity volume fraction during solidification of superalloy castings. These microporosity predictions are validated by comparing modelled results against radiographically and metallographically measured porosity for several Ni-based superalloy equiaxed castings that vary in alloy chemistry with a focus on plates of changing draft angle and thickness. The simulation results agree well with experimental measurements. The simulation results also show that the dimensionless Niyama model can not only identify the location but also the average volume fraction of microporosity distribution in these equiaxed investment cast Ni-based superalloy experiments of relatively simple geometry.

  13. 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.

  14. 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.

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

    OpenAIRE

    2006-01-01

    – 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 Environm...

  16. 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.

  17. 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.

  18. A Prediction Model for Membrane Proteins Using Moments Based Features

    Science.gov (United States)

    Butt, Ahmad Hassan; Khan, Sher Afzal; Jamil, Hamza; Rasool, Nouman; Khan, Yaser Daanial

    2016-01-01

    The most expedient unit of the human body is its cell. Encapsulated within the cell are many infinitesimal entities and molecules which are protected by a cell membrane. The proteins that are associated with this lipid based bilayer cell membrane are known as membrane proteins and are considered to play a significant role. These membrane proteins exhibit their effect in cellular activities inside and outside of the cell. According to the scientists in pharmaceutical organizations, these membrane proteins perform key task in drug interactions. In this study, a technique is presented that is based on various computationally intelligent methods used for the prediction of membrane protein without the experimental use of mass spectrometry. Statistical moments were used to extract features and furthermore a Multilayer Neural Network was trained using backpropagation for the prediction of membrane proteins. Results show that the proposed technique performs better than existing methodologies. PMID:26966690

  19. Prediction-based Adaptation (PRADA) Algorithm for Modulation and Coding

    CERN Document Server

    Lin, Shou-Pon; Lin, Wei-Ting; Yeh, Ping-Cheng; Su, Hsuan-Jung

    2010-01-01

    In this paper, we propose a novel adaptive modulation and coding (AMC) algorithm dedicated to reduce the feedback frequency of the channel state information (CSI). There have been already plenty of works on AMC so as to exploit the bandwidth more efficiently with the CSI feedback to the transmitter. However, in some occasions, frequent CSI feedback is not favorable in these systems. This work considers finite-state Markov chain (FSMC) based channel prediction to alleviate the feedback while maximizing the overall throughput. We derive the close-form of the frame error rate (FER) based on channel prediction using limited CSI feedback. In addition, instead of switching settings according to the CSI, we also provide means to combine both CSI and FER as the switching parameter. Numerical results illustrate that the average throughput of the proposed algorithm has significant performance improvement over fixed modulation and coding while the CSI feedback being largely reduced.

  20. Predictive Control Using Short-Term Prediction Method Based on chaos theory

    International Nuclear Information System (INIS)

    In this paper, an active vibration control method for nonlinear mechanical systems is discussed. The control forces are determined by using the future values of the system obtained by the short-term prediction method based on chaos theory. The authors call such a control method a predictive control method. This method is applied to a pendulum system forced by a sinusoidal torque at the supported point as a numerical example here. The equation of motion for the system becomes nonlinear one when the swing angle is large. The angular displacements near future are used to calculate the control forces. Particularly, the methods to get the optimal sampling period, the forward horizon and the backward horizon are presented here and the effectiveness of the methods are examined numerically

  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. 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. PMID:26787944

  3. 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 ...

  4. 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...

  5. Soft Rot of Rhizopus oryzae as a Postharvest Pathogen of Banana Fruit in Korea

    OpenAIRE

    Kwon, Jin-Hyeuk; Ryu, Jae-San; Chi, Tran Thi Phuong; Shen, Shun-Shan; Choi, Okhee

    2012-01-01

    Soft rot on banana fruit caused by Rhizopus oryzae was identified for the first time in Korea. Colonies were white to light brown and formed numerous sporangiospores. Optimum temperature for mycelial growth was 30℃. Sporangia were globose and 30~200 µm. Sporangiophores were usually straight, 8~20 µm, and rhizoids usually in groups of 3~5. Columella were globose to sub-globose and 90~110 µm. Sporangiospores were sub-globose or oval and 4~10 µm. Based on its mycological characteristics, molecul...

  6. 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.

  7. 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。

  8. 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...

  9. BLANNOTATOR: enhanced homology-based function prediction of bacterial proteins

    Directory of Open Access Journals (Sweden)

    Kankainen Matti

    2012-02-01

    Full Text Available Abstract Background Automated function prediction has played a central role in determining the biological functions of bacterial proteins. Typically, protein function annotation relies on homology, and function is inferred from other proteins with similar sequences. This approach has become popular in bacterial genomics because it is one of the few methods that is practical for large datasets and because it does not require additional functional genomics experiments. However, the existing solutions produce erroneous predictions in many cases, especially when query sequences have low levels of identity with the annotated source protein. This problem has created a pressing need for improvements in homology-based annotation. Results We present an automated method for the functional annotation of bacterial protein sequences. Based on sequence similarity searches, BLANNOTATOR accurately annotates query sequences with one-line summary descriptions of protein function. It groups sequences identified by BLAST into subsets according to their annotation and bases its prediction on a set of sequences with consistent functional information. We show the results of BLANNOTATOR's performance in sets of bacterial proteins with known functions. We simulated the annotation process for 3090 SWISS-PROT proteins using a database in its state preceding the functional characterisation of the query protein. For this dataset, our method outperformed the five others that we tested, and the improved performance was maintained even in the absence of highly related sequence hits. We further demonstrate the value of our tool by analysing the putative proteome of Lactobacillus crispatus strain ST1. Conclusions BLANNOTATOR is an accurate method for bacterial protein function prediction. It is practical for genome-scale data and does not require pre-existing sequence clustering; thus, this method suits the needs of bacterial genome and metagenome researchers. The method and a

  10. 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%.

  11. 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

  12. 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.

  13. 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

  14. Farmers’ Sustainable Agriculture Perception in the Vietnam Uplands: the Case of Banana Farmers in Quang Tri Province

    OpenAIRE

    Van, Nguyen Thanh; Patana Sukprasert; Chinawat Yapwattanaphun

    2015-01-01

    Upland farmers in Vietnam are associated with the lowest income and face serious issues of natural resources degradation and environmental pollution because of poor agricultural practices. To persuade the upland farmers to adopt sustainable practices, it is vital first to assess their perception of sustainable agriculture. This study aimed to measure banana farmers’ perception towards sustainable agriculture and its determinants in the Vietnam uplands based on a case study in Quang Tri provin...

  15. 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)

  16. Amadurecimento de bananas 'maçã' submetidas ao 1-metilciclopropeno (1-MCP Ripening of 'apple' banana submitted to 1-methylcyclopropene (1-MCP

    Directory of Open Access Journals (Sweden)

    Ana Carla Marques Pinheiro

    2007-04-01

    design in factorial 3x5, evaluating the three different degrees of the banana's peel color ( degree 2: completely green; degree 4: more yellow than green; degree 7: completely yellow with brown spots and five application times of 50 etaL.L-1 of 1-MCP (0-control, 6, 9, 12 and 24 hours, with three replicates consisted by 3 bunches with 4 fruits in each one. The data collected were submitted to variant analysis (ANOVA, to the Tukey test, and, when necessary, to polinomial regression. The 1-MCP was applicated on degree 2 of peel color fruits, at 50etaL.L-1 and 25±1ºC. After application, fruits were stored at 25 ± 1ºC and 80 ± 5% RH and their soluble solid (SS, content and total soluble sugars (TSS, pH and peel color were evaluated in degrees 2, 4 and 7 of peel color, and also the respiration rate that was evaluated daily. The 1-MCP at 50nL.L-1 application delayed the start of the ripening of 'Apple' bananas in approximately 9 days, based on the first visible changes in the peel color of green to yellow. It was also observed the retard in ascension and decrease of the respiration rate in 50 % approximately, in the maximal point climacteric, in fruits submitted to 1-MCP during the ripening. The 1-MCP at 50etaL.L-1, despite the times of application, delayed the ripening of 'apple' bananas and promoted no effect on the value b* variants (peel color, soluble solid content, total soluble sugars and pH.

  17. Temperature-based bioclimatic parameters can predict nematode metabolic footprints.

    Science.gov (United States)

    Bhusal, Daya Ram; Tsiafouli, Maria A; Sgardelis, Stefanos P

    2015-09-01

    Nematode metabolic footprints (MFs) refer to the lifetime amount of metabolized carbon per individual, indicating a connection to soil food web functions and eventually to processes supporting ecosystem services. Estimating and managing these at a convenient scale requires information upscaling from the soil sample to the landscape level. We explore the feasibility of predicting nematode MFs from temperature-based bioclimatic parameters across a landscape. We assume that temperature effects are reflected in MFs, since temperature variations determine life processes ranging from enzyme activities to community structure. We use microclimate data recorded for 1 year from sites differing by orientation, altitude and vegetation cover. At the same sites we estimate MFs for each nematode trophic group. Our models show that bioclimatic parameters, specifically those accounting for temporal variations in temperature and extremities, predict most of the variation in nematode MFs. Higher fungivorous and lower bacterivorous nematode MFs are predicted for sites with high seasonality and low isothermality (sites of low vegetation, mostly at low altitudes), indicating differences in the relative contribution of the corresponding food web channels to the metabolism of carbon across the landscape. Higher plant-parasitic MFs were predicted for sites with high seasonality. The fitted models provide realistic predictions of unknown cases within the range of the predictor's values, allowing for the interpolation of MFs within the sampled region. We conclude that upscaling of the bioindication potential of nematode communities is feasible and can provide new perspectives not only in the field of soil ecology but other research areas as well. PMID:25899615

  18. 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.

  19. 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.

  20. 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.

  1. 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.

  2. 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

  3. 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.

  4. 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.

  5. Characterization of ethylene biosynthesis associated with ripening in banana fruit.

    Science.gov (United States)

    Liu, X; Shiomi, S; Nakatsuka, A; Kubo, Y; Nakamura, R; Inaba, A

    1999-12-01

    We investigated the characteristics of ethylene biosynthesis associated with ripening in banana (Musa sp. [AAA group, Cavendish subgroup] cv Grand Nain) fruit. MA-ACS1 encoding 1-aminocyclopropane-1-carboxylic acid (ACC) synthase in banana fruit was the gene related to the ripening process and was inducible by exogenous ethylene. At the onset of the climacteric period in naturally ripened fruit, ethylene production increased greatly, with a sharp peak concomitant with an increase in the accumulation of MA-ACS1 mRNA, and then decreased rapidly. At the onset of ripening, the in vivo ACC oxidase activity was enhanced greatly, followed by an immediate and rapid decrease. Expression of the MA-ACO1 gene encoding banana ACC oxidase was detectable at the preclimacteric stage, increased when ripening commenced, and then remained high throughout the later ripening stage despite of a rapid reduction in the ACC oxidase activity. This discrepancy between enzyme activity and gene expression of ACC oxidase could be, at least in part, due to reduced contents of ascorbate and iron, cofactors for the enzyme, during ripening. Addition of these cofactors to the incubation medium greatly stimulated the in vivo ACC oxidase activity during late ripening stages. The results suggest that ethylene production in banana fruit is regulated by transcription of MA-ACS1 until climacteric rise and by reduction of ACC oxidase activity possibly through limited in situ availability of its cofactors once ripening has commenced, which in turn characterizes the sharp peak of ethylene production. PMID:10594112

  6. Resistant starch in Micronesian banana cultivars offers health benefits.

    Science.gov (United States)

    Thakorlal, J; Perera, C O; Smith, B; Englberger, L; Lorens, A

    2010-04-01

    Resistant Starch (RS) is a type of starch that is resistant to starch hydrolyzing enzymes in the stomach and thus behaves more like dietary fibre. RS has been shown to have beneficial effects in disease prevention including modulation of glycaemic index diabetes, cholesterol lowering capability and weight management, which are critically important for many people in the Federated States of Micronesia. Green bananas are known to contain substantial concentrations of RS and are a common part of the Micronesian diet. Therefore the aim of this study was to determine the RS content in banana cultivars from Pohnpei, Micronesia: Daiwang, Inahsio, Karat, Utin Kerenis and Utin Ruk, for which no such information was available. Utin Kerenis, Inahsio and Utin Ruk were found to contain the highest amounts of RS. The fate of RS after incorporation into a food product (i.e., pancakes) was also studied and a significant reduction in the RS content was found for each cultivar after cooking. Microscopy of the banana samples indicated that the overall morphology of the cultivars was similar. In conclusion, green banana, including these varieties, should be promoted in Micronesia and other places for their rich RS content and related health benefits including diabetes control. Further research is needed to more clearly determine the effects of cooking and food processing on RS. PMID:20968236

  7. 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

  8. 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.

  9. 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

  10. 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 ...

  11. 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...

  12. 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

  13. 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

  14. 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

  15. Analysis of Sequence Based Classifier Prediction for HIV Subtypes

    Directory of Open Access Journals (Sweden)

    S. Santhosh Kumar

    2012-10-01

    Full Text Available Human immunodeficiency virus (HIV is a lent virus that causes acquired immunodeficiency syndrome (AIDS. The main drawback in HIV treatment process is its sub type prediction. The sub type and group classification of HIV is based on its genetic variability and location. HIV can be divided into two major types, HIV type 1 (HIV-1 and HIV type 2 (HIV-2. Many classifier approaches have been used to classify HIV subtypes based on their group, but some of cases are having two groups in one; in such cases the classification becomes more complex. The methodology used is this paper based on the HIV sequences. For this work several classifier approaches are used to classify the HIV1 and HIV2. For implementation of the work a real time patient database is taken and the patient records are experimented and the final best classifier is identified with quick response time and least error rate.

  16. LÉVY-BASED ERROR PREDICTION IN CIRCULAR SYSTEMATIC SAMPLING

    Directory of Open Access Journals (Sweden)

    Kristjana Ýr Jónsdóttir

    2013-06-01

    Full Text Available In the present paper, Lévy-based error prediction in circular systematic sampling is developed. A model-based statistical setting as in Hobolth and Jensen (2002 is used, but the assumption that the measurement function is Gaussian is relaxed. The measurement function is represented as a periodic stationary stochastic process X obtained by a kernel smoothing of a Lévy basis. The process X may have an arbitrary covariance function. The distribution of the error predictor, based on measurements in n systematic directions is derived. Statistical inference is developed for the model parameters in the case where the covariance function follows the celebrated p-order covariance model.

  17. 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...

  18. Roadmap Toward a Predictive Performance-based Commercial Energy Code

    Energy Technology Data Exchange (ETDEWEB)

    Rosenberg, Michael I.; Hart, Philip R.

    2014-10-01

    Energy codes have provided significant increases in building efficiency over the last 38 years, since the first national energy model code was published in late 1975. The most commonly used path in energy codes, the prescriptive path, appears to be reaching a point of diminishing returns. The current focus on prescriptive codes has limitations including significant variation in actual energy performance depending on which prescriptive options are chosen, a lack of flexibility for designers and developers, and the inability to handle control optimization that is specific to building type and use. This paper provides a high level review of different options for energy codes, including prescriptive, prescriptive packages, EUI Target, outcome-based, and predictive performance approaches. This paper also explores a next generation commercial energy code approach that places a greater emphasis on performance-based criteria. A vision is outlined to serve as a roadmap for future commercial code development. That vision is based on code development being led by a specific approach to predictive energy performance combined with building specific prescriptive packages that are designed to be both cost-effective and to achieve a desired level of performance. Compliance with this new approach can be achieved by either meeting the performance target as demonstrated by whole building energy modeling, or by choosing one of the prescriptive packages.

  19. A new splitting-based displacement prediction approach for location-based services

    OpenAIRE

    Daoud, Mohammad Sh.; Ayesh, Aladdin; Hopgood, Adrian A.; Al-Fayoumi, Mustafa

    2011-01-01

    In location-based services (LBSs), the service is provided based on the users' locations through location determination and mobility realization. Several location prediction models have been proposed to enhance and increase the relevance of the information retrieved by users of mobile information systems, but none of them studied the relationship between accuracy rate of prediction and the performance of the model in terms of consuming resources and constraints of mobile devices. Most of the ...

  20. 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

  1. 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

  2. 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

  3. 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.

  4. 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. PMID:26117822

  5. 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.

  6. Fertilizantes comerciais e polpa de banana no cultivo in vitro de um híbrido de Phalaenopsis (Orchidaceae

    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.

  7. 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

  8. 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.

  9. 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.

  10. Scanpath Based N-Gram Models for Predicting Reading Behavior

    DEFF Research Database (Denmark)

    Mishra, Abhijit; Bhattacharyya, Pushpak; Carl, Michael

    2013-01-01

    Predicting reading behavior is a difficult task. Reading behavior depends on various linguistic factors (e.g. sentence length, structural complexity etc.) and other factors (e.g individual's reading style, age etc.). Ideally, a reading model should be similar to a language model where the model...... is built upon a fixed number of overlapping word sequences (n-grams). But it would be difficult to decide what kind of representation of gaze data (unit of n-grams) would correlate more with cognitive effort associated with reading. Moreover, the randomness associated with gaze data also accounts for data...... sparsity, making it difficult for gaze based n-gram models to handle real test scenarios. It has already been seen that some important eye-movement phenomena are captured better by scanpaths than considering individual fixations, saccades and pauses. In this talk, we propose and validate an n-gram based...

  11. A Prediction-based Smart Meter Data Generator

    DEFF Research Database (Denmark)

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

    2016-01-01

    , 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...... with Gaussian white noise. In this paper, we comprehensively evaluate the efficiency and effectiveness of the proposed method based on a real-world energy data set.......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...

  12. 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.

  13. 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.

  14. Intelligent condition-based prediction of machinery reliability

    Science.gov (United States)

    Heng, Aiwina; Tan, Andy C. C.; Mathew, Joseph; Montgomery, Neil; Banjevic, Dragan; Jardine, Andrew K. S.

    2009-07-01

    The ability to forecast machinery failure is vital to reducing maintenance costs, operation downtime and safety hazards. Recent advances in condition monitoring technologies have given rise to a number of prognostic models that attempt to forecast machinery health based on condition data. This paper presents a novel approach for incorporating population characteristics information and suspended condition trending data of historical units into prognosis. The population characteristics information extracted from statistical failure distribution enables longer-range prognosis. The accurate modelling of suspended data is also found to be of great importance, since in practice machines are rarely allowed to run to failure and hence data are commonly suspended. The proposed model consists of a feed-forward neural network whose training targets are asset survival probabilities estimated using a variation of the Kaplan-Meier estimator and a degradation-based failure probability density function (PDF) estimator. The trained network is capable of estimating the future survival probabilities of an operating asset when a series of condition indices are inputted. The output survival probabilities collectively form an estimated survival curve. Pump vibration data were used for model validation. The proposed model was compared with two similar models that neglect suspended data, as well as with a conventional time series prediction model. The results support our hypothesis that the proposed model can predict more accurately and further ahead than similar methods that do not include population characteristics and/or suspended data in prognosis.

  15. Risk prediction of cardiovascular death based on the QTc interval

    DEFF Research Database (Denmark)

    Nielsen, Jonas B.; Graff, Claus; Rasmussen, Peter V.;

    2014-01-01

    AIMS: Using a large, contemporary primary care population we aimed to provide absolute long-term risks of cardiovascular death (CVD) based on the QTc interval and to test whether the QTc interval is of value in risk prediction of CVD on an individual level. METHODS AND RESULTS: Digital electrocar......AIMS: Using a large, contemporary primary care population we aimed to provide absolute long-term risks of cardiovascular death (CVD) based on the QTc interval and to test whether the QTc interval is of value in risk prediction of CVD on an individual level. METHODS AND RESULTS: Digital...... electrocardiograms from 173 529 primary care patients aged 50-90 years were collected during 2001-11. The Framingham formula was used for heart rate-correction of the QT interval. Data on medication, comorbidity, and outcomes were retrieved from administrative registries. During a median follow-up period of 6...... interval resulted in the worst prognosis for men whereas in women, a very short QTc interval was equivalent in risk to a borderline prolonged QTc interval. The effect of the QTc interval on the absolute risk of CVD was most pronounced in the elderly and in those with cardiovascular disease whereas...

  16. 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)

  17. 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

  18. 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...

  19. 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

  20. 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.

  1. 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.

  2. 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 ...

  3. 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).

  4. 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

  5. Parkinson's disease prediction using diffusion-based atlas approach

    Science.gov (United States)

    Teodorescu, Roxana O.; Racoceanu, Daniel; Smit, Nicolas; Cretu, Vladimir I.; Tan, Eng K.; Chan, Ling L.

    2010-03-01

    We study Parkinson's disease (PD) using an automatic specialized diffusion-based atlas. A total of 47 subjects, among who 22 patients diagnosed clinically with PD and 25 control cases, underwent DTI imaging. The EPIs have lower resolution but provide essential anisotropy information for the fiber tracking process. The two volumes of interest (VOI) represented by the Substantia Nigra and the Putamen are detected on the EPI and FA respectively. We use the VOIs for the geometry-based registration. We fuse the anatomical detail detected on FA image for the putamen volume with the EPI. After 3D fibers growing on the two volumes, we compute the fiber density (FD) and the fiber volume (FV). Furthermore, we compare patients based on the extracted fibers and evaluate them according to Hohen&Yahr (H&Y) scale. This paper introduces the method used for automatic volume detection and evaluates the fiber growing method on these volumes. Our approach is important from the clinical standpoint, providing a new tool for the neurologists to evaluate and predict PD evolution. From the technical point of view, the fusion approach deals with the tensor based information (EPI) and the extraction of the anatomical detail (FA and EPI).

  6. Interesting Metrics Based Adaptive Prediction Technique for Knowledge Discovery

    OpenAIRE

    G. Anbukkarasy; N. Sairam

    2013-01-01

    Prediction is considered as an important factor to predict the future results from the existing information. Decision tree methodology is widely used for predicting the results. But this is not efficient to handle the large, heterogeneous or multi-featured type of data sources. So an adaptive prediction method is proposed by combining the statistical analysis approach of the data mining methods along with the decision tree prediction methodology. So when dealing with large and multi-server ba...

  7. Avaliação da qualidade de banana passa elaborada a partir de seis cultivares Evaluation of the quality of dried bananas prepared from six varieties

    OpenAIRE

    Renata Vieira da Mota

    2005-01-01

    Banana passa foi produzida a partir dos cultivares marmelo, ouro, maçã, nanica, prata e YB 42-03 por secagem em estufa com circulação forçada de ar, após imersão em solução antioxidante à base de ácido cítrico e ascórbico. Foram utilizados frutos maduros de cinco cultivares facilmente encontrados no comércio local e um cultivar em implantação resistente a Sigatoka Negra (YB 42-03). A imersão em solução antioxidante não alterou a composição físico-química dos frutos nem a sua curva de secagem....

  8. 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.

  9. 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...

  10. 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...

  11. 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...

  12. 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...

  13. 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 ...

  14. 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 ...

  15. 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.

  16. Neural Network Based Popularity Prediction For IPTV System

    Directory of Open Access Journals (Sweden)

    Jun Li

    2012-12-01

    Full Text Available Internet protocol television (IPTV, being an emerging Internet application, plays an important and indispensable role in our daily life. In order to maximize user experience and on the same time to minimize service cost, we must take into pay attention to how to reduce the storage and transport costs. A lot of previous work has been done before to do this. There is a challenging problem in this: how to predict the popularities of videos as accurate as possible. To solve the problem, this paper presents a Neural Network model for the popularity prediction of the programs in the IPTV system. And we use the actual historical logs to validate our method. The historical logs are divided to two parts, one is used to train the neural network by extract input/output vectors, and the other part is used to verify the model. The experimental results from our validation show the Neural Network based method can gain better accuracy than the comparative method.

  17. Prediction of spectral acceleration response ordinates based on PGA attenuation

    Science.gov (United States)

    Graizer, V.; Kalkan, E.

    2009-01-01

    Developed herein is a new peak ground acceleration (PGA)-based predictive model for 5% damped pseudospectral acceleration (SA) ordinates of free-field horizontal component of ground motion from shallow-crustal earthquakes. The predictive model of ground motion spectral shape (i.e., normalized spectrum) is generated as a continuous function of few parameters. The proposed model eliminates the classical exhausted matrix of estimator coefficients, and provides significant ease in its implementation. It is structured on the Next Generation Attenuation (NGA) database with a number of additions from recent Californian events including 2003 San Simeon and 2004 Parkfield earthquakes. A unique feature of the model is its new functional form explicitly integrating PGA as a scaling factor. The spectral shape model is parameterized within an approximation function using moment magnitude, closest distance to the fault (fault distance) and VS30 (average shear-wave velocity in the upper 30 m) as independent variables. Mean values of its estimator coefficients were computed by fitting an approximation function to spectral shape of each record using robust nonlinear optimization. Proposed spectral shape model is independent of the PGA attenuation, allowing utilization of various PGA attenuation relations to estimate the response spectrum of earthquake recordings.

  18. 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

  19. 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.  

  20. Optimization of arterial age prediction models based in pulse wave

    International Nuclear Information System (INIS)

    We propose the detection of early arterial ageing through a prediction model of arterial age based in the coherence assumption between the pulse wave morphology and the patient's chronological age. Whereas we evaluate several methods, a Sugeno fuzzy inference system is selected. Models optimization is approached using hybrid methods: parameter adaptation with Artificial Neural Networks and Genetic Algorithms. Features selection was performed according with their projection on main factors of the Principal Components Analysis. The model performance was tested using the bootstrap error type .632E. The model presented an error smaller than 8.5%. This result encourages including this process as a diagnosis module into the device for pulse analysis that has been developed by the Bioengineering Laboratory staff

  1. A Prediction-based Smart Meter Data Generator

    DEFF Research Database (Denmark)

    Iftikhar, Nadeem; Nordbjerg, Finn Ebertsen

    2016-01-01

    With the prevalence of cloud computing and Internet 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 decisionmaking....... 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 data set as seed. The generator generates data using a prediction-based method that depends on historical energy consumption patterns...

  2. 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...

  3. 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.

  4. Operational Numerical Weather Prediction systems based on Linux cluster architectures

    International Nuclear Information System (INIS)

    The progress in weather forecast and atmospheric science has been always closely linked to the improvement of computing technology. In order to have more accurate weather forecasts and climate predictions, more powerful computing resources are needed, in addition to more complex and better-performing numerical models. To overcome such a large computing request, powerful workstations or massive parallel systems have been used. In the last few years, parallel architectures, based on the Linux operating system, have been introduced and became popular, representing real high performance-low cost systems. In this work the Linux cluster experience achieved at the Laboratory far Meteorology and Environmental Analysis (LaMMA-CNR-IBIMET) is described and tips and performances analysed

  5. 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.

  6. 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. PMID:22101927

  7. Effect of banana on cold stress test & peak expiratory flow rate in healthy volunteers.

    Science.gov (United States)

    Sarkar, C; Bairy, K L; Rao, N M; Udupa, E G

    1999-07-01

    The effect of banana on cold stress induced hypertension, peak expiratory flow rate and plasma ACE activity in healthy human volunteers was tested. Systolic blood pressure (P banana treatment compared to controls subjected to cold stress. There was no significant changes in heart rate and peak expiratory flow rate but only significant decrease in plasma ACE activity after banana treatment. Banana decreased the rise of systolic blood pressure and diastolic blood pressure in healthy volunteers subjected to cold stress test without much effect on heart rate and peak expiratory flow rate. PMID:10709336

  8. Fast rule-based bioactivity prediction using associative classification mining

    Directory of Open Access Journals (Sweden)

    Yu Pulan

    2012-11-01

    Full Text Available Abstract Relating chemical features to bioactivities is critical in molecular design and is used extensively in the lead discovery and optimization process. A variety of techniques from statistics, data mining and machine learning have been applied to this process. In this study, we utilize a collection of methods, called associative classification mining (ACM, which are popular in the data mining community, but so far have not been applied widely in cheminformatics. More specifically, classification based on predictive association rules (CPAR, classification based on multiple association rules (CMAR and classification based on association rules (CBA are employed on three datasets using various descriptor sets. Experimental evaluations on anti-tuberculosis (antiTB, mutagenicity and hERG (the human Ether-a-go-go-Related Gene blocker datasets show that these three methods are computationally scalable and appropriate for high speed mining. Additionally, they provide comparable accuracy and efficiency to the commonly used Bayesian and support vector machines (SVM methods, and produce highly interpretable models.

  9. 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.

  10. 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.

  11. 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.

  12. 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.

  13. 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...

  14. 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...

  15. 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.

  16. 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.

  17. Banana Trials: A Potential Niche and Ethnic Market in Georgia

    OpenAIRE

    Fonsah, Esendugue Greg; Krewer, Gerard; Wallace, Richard; Mullinix, Ben

    2007-01-01

    Annual cropping production (ACP) is a technique used worldwide to target favorable market conditions. This technique has allowed commercial banana production outside the traditional production belt such as South Africa, Thailand, Israel, and China. In 2003 an evaluation of thirty-three cultivars was initiated near Savannah, Georgia to determine their suitability for ornamental, nursery, and ACP for niche/ethnic markets under Georgia weather conditions. In South Georgia and other temperate reg...

  18. Sequencing the Major Mycosphaerella Pathogens of Wheat and Banana

    OpenAIRE

    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 of Mycosphaerella cause disease in humans and other vertebrates. An international project was initiated to sequence the genomes of M. graminicola and M. fijiensis, two of the most economically impor...

  19. Interaction of Spatially Localized LHW with Banana Particles

    Czech Academy of Sciences Publication Activity Database

    Krlín, Ladislav; Fuchs, Vladimír; Pánek, Radomír; Papřok, Richard; Seidl, Jakub

    2014-01-01

    Roč. 1, č. 3 (2014), s. 166-168. ISSN 2336-2626. [SPPT 2014 - 26th Symposium on Plasma Physics and Technology/26./. Prague, 16.06.2014-19.06.2014] R&D Projects: GA ČR GAP205/11/2341 Institutional support: RVO:61389021 Keywords : anomalous acceleration * stochasticity * lower hybrid waves * banana particles * tokamaks Subject RIV: BL - Plasma and Gas Discharge Physics http://fyzika.feld.cvut.cz/misc/ppt/articles/2014/krlin.pdf

  20. 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

  1. 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

  2. IN VITRO SHOOT TIP CULTURE OF BANANA CULTIVAR MEITEI HEI

    Directory of Open Access Journals (Sweden)

    ROBERT LALRINSANGA

    2013-01-01

    Full Text Available Micropopagation is preferred over the conventional method of propagation in banana owing to its fastermultiplication rate, uniformity in planting materials, production of disease-free planting materials, higherbunch weight, more fingers and hands and less variability in fruit size and shape. The apical meristem orshoot-tip culture is very efficient for rapid clonal micropopagation. Though abundant information on themicropropagation of banana is available for cultivars in India and abroad, there is only little or no informationon micropropagation of Meitei Hei, a popular local variety of Manipur. Thus, study was undertaken during2009-10 in the Tissue Culture Laboratory of the Department of Horticulture, CAU, Imphal on the in vitroshoot tip culture of Meiteti Hei banana to analyze its micropropagation potential. Results revealed that thehighest multiple shoot induction was found in MS+5mg1-1BAP at 2.17 shoots while MS+1 mg1-1NAA+0.2mg1-1BAP gave the longest regenerated shoots after 45 days of incubation. Highest number of roots wasfound in MS+2 mg1-1NAA. 98-100% survival was found in all the ex-vitro hardening media of sand,soil:FYM (2:1 and soil:vermicompost (2:1.

  3. 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

  4. Investigating hydropedological relations using quantified morphological data under banana plants on a transect in Guadeloupe

    Science.gov (United States)

    Germeau, Martin; Weynants, Mélanie; Cattan, Philippe; Dorel, Marc; Javaux, Mathieu

    2010-05-01

    Due to its limited surface and contamination through chemicals, subsurface water resources in Guadeloupe are under pressure. Banana plantations on highly conductive soils, in particular Andisols represent a large source of nonpoint-source pollution. The proper characterization of the soil transfer properties are therefore needed to sustainably manage groundwater. Hydropedology can help understand the links between the soil hydraulic behaviour and its pedology. The aim of this study was to assess the key parameters controlling the hydraulic properties of these soils. Fifteen sites were chosen along a climatic transect in the South East of Guadeloupe, going from lower to higher altitudes associated with a rainfall gradient and with a pedological differentiation, to investigate the effects of soil type and soil structure on the hydraulic properties. At each site, a structural description of the profile (Manichon technique) was realised and samples were taken for chemical and mineral characterization. The root density was also assessed. In situ suction infitrometer measurements were realised at the soil surface. Undisturbed 1 L soil cores were extracted in the A (10-20 cm) and B (40-60 cm) horizons for Multistep outflow (MSO) measurements. The experiments were simulated with Hydrus-1D parameterised with the Mualem-van Genuchten (MV) model for which the parameters were optimised with the inversion algorithm AMALGAM-SO. Links between the hydraulic characteristics (infiltration rates and MV parameters) and soil profile information were obtained using a stepwise procedure. Infiltration rates at -1 and 0 cm of pressure head were satisfactorily described based on the root density, the contents of fine earth and easily discernible clods. All these explanatory variables contain information on the structural state of the soil. The MV parameters optimised from the MSO experiments were not well described with the available predictors. However, points of the hydraulic conductivity

  5. 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.

  6. 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.

  7. Precision of incidence predictions based on Poisson distributed observations.

    Science.gov (United States)

    Hakulinen, T; Dyba, T

    1994-08-15

    Disease incidence predictions are useful for a number of administrative and scientific purposes. The simplest ones are made using trend extrapolation, on either an arithmetic or a logarithmic scale. This paper shows how approximate confidence prediction intervals can be calculated for such predictions, both for the total number of cases and for the age-adjusted incidence rates, by assuming Poisson distribution of the age and period specific numbers of incident cases. Generalizations for prediction models, for example, using power families and extra-Poisson variation, are also presented. Cancer incidence predictions for the Stockholm-Gotland Oncological Region in Sweden are used as an example. PMID:7973230

  8. HADOOP-BASED DISTRIBUTED SYSTEM FOR ONLINE PREDICTION OF AIR POLLUTION BASED ON SUPPORT VECTOR MACHINE

    Directory of Open Access Journals (Sweden)

    Z. Ghaemi

    2015-12-01

    Full Text Available 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.

  9. 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.

  10. 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.

  11. On the distribution of scaling hydraulic parameters in a spatially anisotropic banana field

    Science.gov (United States)

    Regalado, Carlos M.

    2005-06-01

    When modeling soil hydraulic properties at field scale it is desirable to approximate the variability in a given area by means of some scaling transformations which relate spatially variable local hydraulic properties to global reference characteristics. Seventy soil cores were sampled within a drip irrigated banana plantation greenhouse on a 14×5 array of 2.5 m×5 m rectangles at 15 cm depth, to represent the field scale variability of flow related properties. Saturated hydraulic conductivity and water retention characteristics were measured in these 70 soil cores. van Genuchten water retention curves (WRC) with optimized m ( m≠1-1/ n) were fitted to the WR data and a general Mualem-van Genuchten model was used to predict hydraulic conductivity functions for each soil core. A scaling law, of the form ν=ανi*, was fitted to soil hydraulic data, such that the original hydraulic parameters νi were scaled down to a reference curve with parameters νi*. An analytical expression, in terms of Beta functions, for the average suction value, hc, necessary to apply the above scaling method, was obtained. A robust optimization procedure with fast convergence to the global minimum is used to find the optimum hc, such that dispersion is minimized in the scaled data set. Via the Box-Cox transformation P(τ)=(αiτ-1)/τ, Box-Cox normality plots showed that scaling factors for the suction ( αh) and hydraulic conductivity ( αk) were approximately log-normally distributed (i.e. τ=0), as it would be expected for such dynamic properties involving flow. By contrast static soil related properties as αθ were found closely Gaussian, although a power τ=3/4 was best for approaching normality. Application of four different normality tests (Anderson-Darling, Shapiro-Wilk, Kolmogorov-Smirnov and χ2 goodness-of-fit tests) rendered some contradictory results among them, thus suggesting that this widely extended practice is not recommended for providing a suitable probability

  12. 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.

  13. 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 ...

  14. 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...

  15. Prediction

    OpenAIRE

    Woollard, W.J.

    2006-01-01

    In this chapter we will look at the ways in which you can use ICT in the classroom to support hypothesis and prediction and how modern technology is enabling: pattern seeking, extrapolation and interpolation to meet the challenges of the information explosion of the 21st century.

  16. 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

  17. 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

  18. "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)…

  19. 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...

  20. Physicochemical Properties and Nutritional Compositions of Foamed Banana Powders (Pisang Awak, Musa sapientum L. Dehydrated by Various Drying Methods

    Directory of Open Access Journals (Sweden)

    Phisut NAKNAEN

    2016-03-01

    Full Text Available 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 the foamed banana powders exhibited higher L* and b* and lower a* values than that of the unfoamed one. Lower solubility and hygroscopicity were observed in the unfoamed banana powder, compared to all the foamed banana powders. All the foamed banana powders contained higher total phenolic contents (TPC, β-carotene, thiamine, and riboflavin, as well as ascorbic acid, compared with the unfoamed banana powder. Among the foamed banana powders, the freeze dried powder had the lowest bulk and compaction density, while the solubility and hygroscopicity were the highest. The highest nutrition components, mentioned above, and antioxidant activities were found in the foamed banana powders dehydrated by freeze drying, followed by vacuum drying and hot air drying, respectively. Therefore, the banana powder made by the foaming process and consequently subjected to freeze drying was of a higher quality, in terms of nutritional compositions as well as antioxidant capacities.

  1. 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 ...

  2. 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.

  3. Link Strength Prediction Using Transaction-Based Matrix Factorization

    OpenAIRE

    Bozorgkhan, Ali

    2013-01-01

    The revolution of social networks and methods of analyzing them have attracted interest in many research fields. Predicting whether a friendship holds in a social network between two individuals or not, link prediction, has been a heavily researched topic in the last decade. In this research I've investigated a related problem, link strength prediction: how to assign strengths to friendship links. A basic approach would be matrix factorization applied to only friendship ratings. However, the ...

  4. 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.

  5. 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.  

  6. 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...

  7. 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

  8. Study of Banana Dehydration using Sequential Infrared Radiation Heating 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. Cavendish banana slices with 5 mm thickness were predehydrated using IR heating at each one of three radiation intensities, 3000, 4000, and 5000...

  9. 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

  10. SHM-Based Probabilistic Fatigue Life Prediction for Bridges Based on FE Model Updating

    Directory of Open Access Journals (Sweden)

    Young-Joo Lee

    2016-03-01

    Full Text Available 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.

  11. SHM-Based Probabilistic Fatigue Life Prediction for Bridges Based on FE Model Updating.

    Science.gov (United States)

    Lee, Young-Joo; Cho, Soojin

    2016-01-01

    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. PMID:26950125

  12. 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

  13. 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

  14. 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.

  15. 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

  16. 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

  17. 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.

  18. 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.

  19. 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...... low to high pressures. In the f-theory viscosity predictions the SRK and the PRSV EOS have respectively been used. Further, a comparison with the widely used LBC viscosity model shows that better results are obtained with the f-theory models. The obtained AAD% is within or close to the experimental...

  20. 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

  1. 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.

  2. 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.

  3. Expression of sweet pepper Hrap gene in banana enhances resistance to Xanthomonas campestris pv. musacearum.

    Science.gov (United States)

    Tripathi, Leena; Mwaka, Henry; Tripathi, Jaindra Nath; Tushemereirwe, Wilberforce Kateera

    2010-11-01

    Banana Xanthomonas wilt (BXW), caused by the bacterium Xanthomonas campestris pv. musacearum, is the most devastating disease of banana in the Great Lakes region of Africa. The pathogen's rapid spread has threatened the livelihood of millions of Africans who rely on banana fruit for food security and income. The disease is very destructive, infecting all banana varieties, including both East African Highland bananas and exotic types of banana. In the absence of natural host plant resistance among banana cultivars, the constitutive expression of the hypersensitivity response-assisting protein (Hrap) gene from sweet pepper (Capsicum annuum) was evaluated for its ability to confer resistance to BXW. Transgenic lines expressing the Hrap gene under the regulation of the constitutive CaMV35S promoter were generated using embryogenic cell suspensions of two banana cultivars: 'Sukali Ndiizi' and 'Mpologoma'. These lines were characterized by molecular analysis, and were challenged with Xanthomonas campestris pv. musacearum to analyse the efficacy of the Hrap gene against BXW. The majority of transgenic lines (six of eight) expressing Hrap did not show any symptoms of infection after artificial inoculation of potted plants in the screenhouse, whereas control nontransgenic plants showed severe symptoms resulting in complete wilting. This study demonstrates that the constitutive expression of the sweet pepper Hrap gene in banana results in enhanced resistance to BXW. We describe the development of transgenic banana varieties resistant to BXW, which will boost the arsenal available to fight this epidemic disease and save livelihoods in the Great Lakes region of East and Central Africa. PMID:21029318

  4. Relationship between banana plant cultivation and stream macroinvertebrate communities Relação entre cultivo de banana e a comunidade de macroinvertebrados aquáticos

    OpenAIRE

    Priscila Kleine; Susana Trivinho-Strixino; Juliano José Corbi

    2011-01-01

    AIMS: The present study describes the influence of banana plant cultivation on macroinvertebrate communities of streams located in the southeastern region of São Paulo state in the Atlantic Forest (four located in areas of banana cultivation and four in preserved areas); METHODS: Sampling was performed during October and November of 2005. The fauna was collected with Surber sampler and a D-aquatic net (both with mesh of 0.25 mm) in rapids and backwaters. Simultaneously, an environmental chara...

  5. 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...

  6. 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 ...

  7. 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.

  8. 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.

  9. 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...

  10. Safety prediction for basic components of safety critical software based on static testing

    International Nuclear Information System (INIS)

    The purpose of this work is to develop a safety prediction method, with which we can predict the risk of software components based on static testing results at the early development stage. The predictive model combines the major factor with the quality factor for the components, both of which are calculated based on the measures proposed in this work. The application to a safety-critical software system demonstrates the feasibility of the safety prediction method. (authors)

  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. Safety prediction for basic components of safety-critical software based on static testing

    International Nuclear Information System (INIS)

    The purpose of this work is to develop a safety prediction method, with which we can predict the risk of software components based on static testing results at the early development stage. The predictive model combines the major factor with the quality factor for the components, which are calculated based on the measures proposed in this work. The application to a safety-critical software system demonstrates the feasibility of the safety prediction method. (authors)

  13. On-time clinical phenotype prediction based on narrative reports

    OpenAIRE

    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 im...

  14. 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...

  15. Real time highway traffic prediction based on dynamic demand modeling

    OpenAIRE

    Bernhardsson, Viktor; Ringdahl, Rasmus

    2014-01-01

    Traffic problems caused by congestion are increasing in cities all over the world. As a traffic management tool traffic predictions can be used in order to make prevention actions against traffic congestion. There is one software for traffic state estimations called Mobile Millennium Stockholm (MMS) that are a part of a project for estimate real-time traffic information.In this thesis a framework for running traffic predictions in the MMS software have been implemented and tested on a stretch...

  16. A Hidden Genetic Layer Based Neural Network for Mobility Prediction

    OpenAIRE

    L. Velmurugan; P. Thangaraj

    2012-01-01

    Problem statement: With numerous wireless devices increasingly connecting to the internet, WLAN infrastructure planning becomes very important to maintain desired quality of services. For maintaining desired quality of service it is desirable to know the movement pattern of users. Mobility prediction involves finding the mobile device's next access point as it moves through the wireless network. Hidden Markov models and Bayesian approach have been proposed to predict the next hop. Approach: I...

  17. 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...

  18. Performance of Local Information Based Link Prediction: A Sampling Perspective

    OpenAIRE

    Zhao, Jichang; Feng, Xu; Dong, Li; Liang, Xiao; Xu, Ke

    2011-01-01

    Link prediction is pervasively employed to uncover the missing links in the snapshots of real-world networks, which are usually obtained from kinds of sampling methods. Contrarily, in the previous literature, in order to evaluate the performance of the prediction, the known edges in the sampled snapshot are divided into the training set and the probe set randomly, without considering the diverse sampling approaches beyond. However, different sampling methods might lead to different missing li...

  19. Phenylphenalenones protect banana plants from infection by Mycosphaerella fijiensis and are deactivated by metabolic conversion.

    Science.gov (United States)

    Hidalgo, William; Chandran, Jima N; Menezes, Riya C; Otálvaro, Felipe; Schneider, Bernd

    2016-03-01

    Phenylphenalenones, polycyclic aromatic natural products from some monocotyledonous plants, are known as phytoalexins in banana (Musa spp.). In this study, (1) H nuclear magnetic resonance (NMR)-based metabolomics along with liquid chromatography and mass spectrometry were used to explore the chemical responses of the susceptible 'Williams' and the resistant 'Khai Thong Ruang' Musa varieties to the ascomycete fungus Mycosphaerella fijiensis, the agent of the black leaf Sigatoka disease. Principal component analysis discriminated strongly between infected and non-infected plant tissue, mainly because of specialized metabolism induced in response to the fungus. Phenylphenalenones are among the major induced compounds, and the resistance level of the plants was correlated with the progress of the disease. However, a virulent strain of M. fijiensis was able to overcome plant resistance by converting phenylphenalenones to sulfate conjugates. Here, we report the first metabolic detoxification of fungitoxic phenylphenalenones to evade the chemical defence of Musa plants. PMID:26290378

  20. Neuro Fuzzy based Techniques for Predicting Stock Trends

    Directory of Open Access Journals (Sweden)

    Hemanth Kumar P.

    2012-07-01

    Full Text Available In this paper we discuss about Prediction of stock market returns.Artificial neural networks (ANNs have been popularly applied to finance problems such as stock exchange index prediction, bankruptcy prediction and corporate bond classification. An ANN model essentially mimics the learning capability of the human brain. A Fuzzy system can uniformly approximate any real continuous function on a compact domain to any degree of accuracy. HereNeuro Fuzzy approaches for predicting financial time series are investigated and shown to perform well in the context of various trading strategies involving stocks. The horizon of prediction is typically a few days and trading strategies are examined using historical data. Methodologies are presented wherein neural predictors are used to anticipate the general behavior of financial indexes in the context of stocks and options trading. The methodologies are tested with actual financial data and shown considerable promise as a decision making and planning tool. In this paper methods are designed to predict 10-15 days of stock returns in advance.

  1. Effective protein conformational sampling based on predicted torsion angles.

    Science.gov (United States)

    Yang, Yuedong; Zhou, Yaoqi

    2016-04-30

    Protein structure prediction is a long-standing problem in molecular biology. Due to lack of an accurate energy function, it is often difficult to know whether the sampling algorithm or the energy function is the most important factor for failure of locating near-native conformations of proteins. This article examines the size dependence of sampling effectiveness by using a perfect "energy function": the root-mean-squared distance from the target native structure. Using protein targets up to 460 residues from critical assessment of structure prediction techniques (CASP11, 2014), we show that the accuracy of near native structures sampled is relatively independent of protein sizes but strongly depends on the errors of predicted torsion angles. Even with 40% out-of-range angle prediction, 2 Å or less near-native conformation can be sampled. The result supports that the poor energy function is one of the bottlenecks of structure prediction and predicted torsion angles are useful for overcoming the bottleneck by restricting the sampling space in the absence of a perfect energy function. © 2015 Wiley Periodicals, Inc. PMID:26696379

  2. 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...

  3. 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

  4. 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.

  5. Research on bearing life prediction based on support vector machine and its application

    International Nuclear Information System (INIS)

    Life prediction of rolling element bearing is the urgent demand in engineering practice, and the effective life prediction technique is beneficial to predictive maintenance. Support vector machine (SVM) is a novel machine learning method based on statistical learning theory, and is of advantage in prediction. This paper develops SVM-based model for bearing life prediction. The inputs of the model are features of bearing vibration signal and the output is the bearing running time-bearing failure time ratio. The model is built base on a few failed bearing data, and it can fuse information of the predicted bearing. So it is of advantage to bearing life prediction in practice. The model is applied to life prediction of a bearing, and the result shows the proposed model is of high precision.

  6. 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.

  7. 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.

  8. 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.

  9. 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...

  10. 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.

  11. 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.

  12. 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.  

  13. 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...

  14. 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.

  15. 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.

  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. 移动式全喂入香蕉茎秆纤维提取机的研制与试验%Development and experiment of full feeding and movable combined machine for banana stalk fiber extraction

    Institute of Scientific and Technical Information of China (English)

    张喜瑞; 梁栋; 李粤; 王超

    2015-01-01

    为了解决中国香蕉茎秆废弃物带来的环境污染、疾病传播、资源浪费以及火灾事故等问题,该文结合香蕉茎秆粗大、含水量高等特点,通过研究香蕉茎秆喂入、挤水、机械击打刮取等关键机构,设计出一台可移动式全喂入香蕉茎秆纤维提取机,整机主要由茎秆输送装置、喂入装置、滚扎装置、纤维刮取装置、出料装置等部分构成。样机性能试验表明:该机生产率为206.6 kg/h,香蕉茎秆纤维提取率为90.4%,香蕉茎秆纤维含杂率为16.2%,提取100 kg香蕉茎秆纤维能耗为22.3 kW·h,符合生产需求。该研究可为香蕉茎秆纤维提取机的设计提供技术参考,对促进中国热带农业区香蕉产业发展具有重要意义。%Banana is one of the four fruits. The annual banana production is 9×106 t in China, and the banana stem waste is 2.7×107 t. At present, the traditional way to process the banana stem, such as artificial cut, natural decay and dry burning method, is still adopted in the banana planting area in China. These methods not only cause time consuming, high cost and low benefit, but also probably lead to environmental pollution, disease spread, waste of resources, fire accidents and other problems. Meanwhile, banana stalk contains high-quality plant fiber that is lightweight and with strong permeability, which has high economic value and is suitable for the production of medium and top-grade products, such as suits, shirts, ties, and various decorations, as well as fine paper. But nowadays the researches most have focused on the fiber extraction and application of pineapple, corn stalk and cotton stalk, etc. Based on the above issues, we design the fully feeding and movable combined machine for banana stalk fiber extraction, which is mainly composed of conveying device, feeding device, rolling device, fiber extracting device, discharging device, output device and collection roller. Before the machine

  18. 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....

  19. 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.

  20. Predicting active users' personality based on micro-blogging behaviors.

    Directory of Open Access Journals (Sweden)

    Lin Li

    Full Text Available 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.

  1. Sequence-based feature prediction and annotation of proteins

    DEFF Research Database (Denmark)

    Juncker, Agnieszka; Jensen, Lars J.; Pierleoni, Andrea; Bernsel, Andreas; Tress, Michael L.; Bork, Peer; Von Heijne, Gunnar; Valencia, Alfonso; A Ouzounis, Christos; Casadio, Rita; Brunak, Søren

    2009-01-01

    A recent trend in computational methods for annotation of protein function is that many prediction tools are combined in complex workflows and pipelines to facilitate the analysis of feature combinations, for example, the entire repertoire of kinase-binding motifs in the human proteome....

  2. 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...

  3. 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.

  4. Quality evaluation of dissolving pulp fabricated from banana plant stem and its potential for biorefinery.

    Science.gov (United States)

    Das, Atanu Kumar; Nakagawa-Izumi, Akiko; Ohi, Hiroshi

    2016-08-20

    The study was conducted to evaluate the quality of dissolving pulp of Musa sapientum L. (banana) plant stem and its potential for biorefinery. Introduction of pre-hydrolysis prior to any alkaline pulping process helps to reduce the content of hemicellulose and consequently produce acceptably high content of cellulose pulp. Water pre-hydrolysis was done at 150°C for 90min. The amount of lignin, xylan and glucan in the extracted pre-hydrolysis liquor (PHL) was 1.6, 4.9 and 1.6%, respectively. Pulping of pre-extracted chips was done following soda-AQ, alkaline sulfite and kraft process. The ratio of chip to liquor was 1:7 for both pre-hydrolysis and pulping. The kraft pulping process with 20% active alkali and 25% sulfidity at 150°C for 90min showed the best result. The lowest kappa number was 26.2 with a considerable pulp yield of 32.7%. The pulp was bleached by acidic NaClO2 and the consistency was 10% based on air-dried pulp. The lowest amount of 7% NaClO2 was used for the bleaching sequence of D0ED1ED2. After D0ED1ED2 bleaching, the pulp showed that α-cellulose, brightness and ash were 91.9, 77.9 and 1.6% respectively. The viscosity was 19.9cP. Hence, there is a possibility to use banana plant stem as a raw material for dissolving grade pulp and other bioproducts. PMID:27178917

  5. Comparative Genomics of the Sigatoka Disease Complex on Banana Suggests a Link between Parallel Evolutionary Changes in Pseudocercospora fijiensis and Pseudocercospora eumusae and Increased Virulence on the Banana Host.

    Science.gov (United States)

    Chang, Ti-Cheng; Salvucci, Anthony; Crous, Pedro W; Stergiopoulos, Ioannis

    2016-08-01

    The Sigatoka disease complex, caused by the closely-related Dothideomycete fungi Pseudocercospora musae (yellow sigatoka), Pseudocercospora eumusae (eumusae leaf spot), and Pseudocercospora fijiensis (black sigatoka), is currently the most devastating disease on banana worldwide. The three species emerged on bananas from a recent common ancestor and show clear differences in virulence, with P. eumusae and P. fijiensis considered the most aggressive. In order to understand the genomic modifications associated with shifts in the species virulence spectra after speciation, and to identify their pathogenic core that can be exploited in disease management programs, we have sequenced and analyzed the genomes of P. eumusae and P. musae and compared them with the available genome sequence of P. fijiensis. Comparative analysis of genome architectures revealed significant differences in genome size, mainly due to different rates of LTR retrotransposon proliferation. Still, gene counts remained relatively equal and in the range of other Dothideomycetes. Phylogenetic reconstruction based on a set of 46 conserved single-copy genes strongly supported an earlier evolutionary radiation of P. fijiensis from P. musae and P. eumusae. However, pairwise analyses of gene content indicated that the more virulent P. eumusae and P. fijiensis share complementary patterns of expansions and contractions in core gene families related to metabolism and enzymatic degradation of plant cell walls, suggesting that the evolution of virulence in these two pathogens has, to some extent, been facilitated by convergent changes in metabolic pathways associated with nutrient acquisition and assimilation. In spite of their common ancestry and shared host-specificity, the three species retain fairly dissimilar repertoires of effector proteins, suggesting that they likely evolved different strategies for manipulating the host immune system. Finally, 234 gene families, including seven putative effectors, were

  6. Involvement of a banana MADS-box transcription factor gene in ethylene-induced fruit ripening.

    Science.gov (United States)

    Liu, Juhua; Xu, Biyu; Hu, Lifang; Li, Meiying; Su, Wei; Wu, Jing; Yang, Jinghao; Jin, Zhiqiang

    2009-01-01

    To investigate the regulation of MADS-box genes in banana (Musa acuminata L. AAA group cv. Brazilian) fruit development and postharvest ripening, we isolated from banana fruit a MADS-box gene designated MuMADS1. Amino acid alignment indicated MuMADS1 belongs to the AGAMOUS subfamily, and phylogenetic analysis indicates that this gene is most similar to class D MADS-box genes. Reverse transcriptase-polymerase chain reaction (RT-PCR) analysis showed that MuMADS1 is expressed in the stamen and pistil of male and female flowers and in the rhizome, the vegetative reproductive organ of the banana plant. In preharvest banana fruit, MuMADS1 is likely expressed throughout banana fruit development. In postharvest banana ripening, MuMADS1 is associated with ethylene biosynthesis. Expression patterns of MuMADS1 during postharvest ripening as determined by real-time RT-PCR suggest that differential expression of MuMADS1 may not only be induced by ethylene biosynthesis associated with postharvest banana ripening, but also may be induced by exogenous ethylene. PMID:18820933

  7. 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. PMID:23055273

  8. 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.

  9. Simulação computacional aplicada ao desenvolvimento de embalagens para bananas Computational simulation for the development of packages for bananas

    Directory of Open Access Journals (Sweden)

    Roberto Funes Abrahão

    2008-03-01

    Full Text Available Este trabalho propõe um método de projeto de embalagem para produtos hortícolas, buscando uma otimização integrada dos aspectos geométricos, estruturais e térmicos, ligados à facilitação do resfriamento e armazenamento refrigerado. Para o dimensionamento e otimização estrutural, foi utilizado o Método dos Elementos Finitos implementado pelo programa ANSYS, obtendo-se oito modelos virtuais de embalagens, com 10% e 14% de área efetiva de aberturas e geometria quadrada, retangular e circular. Para o desenvolvimento dos experimentos, que avaliaram a relação da área de aberturas com o tempo de sete-oitavos de resfriamento, foram construídos protótipos de tábuas de madeira (Pinnus elliotti de reflorestamento. Nas embalagens, foram acondicionados aproximadamente 13 kg de banana variedade Nanica (Musa cavendishii, cultivar nanica, resfriada num túnel de ar forçado (vazão de ar de 0,32 m³ s-1, temperatura de 8,0±1,2ºC e umidade relativa de 84,5±2,6%. O tempo de resfriamento também foi comparado com aquele obtido quando a mesma quantidade de frutas foi resfriada em embalagens de papelão (2,5% de área efetiva de abertura e madeira (18% de área efetiva de abertura. Os resultados demonstraram que, entre os protótipos propostos, não houve diferença significativa no tempo de resfriamento dos frutos acondicionados nas embalagens desenvolvidas, sendo o tempo médio de resfriamento de 40,71±2,81 min. Na comparação com as embalagens de papelão e madeira, houve diferenças significativas, sendo que as embalagens comerciais tiveram tempos de resfriamento de 1,25 e 2 vezes maiores. Concluiu-se que a simulação estrutural computacional, aliada a algoritmos de otimização, além de procedimentos experimentais ligados à cadeia do frio, são recursos promissores no auxílio de projetos para embalagens de transporte de produtos hortícolas.This study proposes a methodology for designing boxes for agricultural products based on

  10. Native cell-death genes as candidates for developing wilt resistance in transgenic banana plants.

    Science.gov (United States)

    Ghag, Siddhesh B; Shekhawat, Upendra K Singh; Ganapathi, Thumballi R

    2014-01-01

    In order to feed an ever-increasing world population, there is an urgent need to improve the production of staple food and fruit crops. The productivity of important food and fruit crops is constrained by numerous biotic and abiotic factors. The cultivation of banana, which is an important fruit crop, is severely threatened by Fusarium wilt disease caused by infestation by an ascomycetes fungus Fusarium oxysporum f. sp. cubense (Foc). Since there are no established edible cultivars of banana resistant to all the pathogenic races of Foc, genetic engineering is the only option for the generation of resistant cultivars. Since Foc is a hemibiotrophic fungus, investigations into the roles played by different cell-death-related genes in the progression of Foc infection on host banana plants are important. Towards this goal, three such genes namely MusaDAD1, MusaBAG1 and MusaBI1 were identified in banana. The study of their expression pattern in banana cells in response to Foc inoculation (using Foc cultures or fungal toxins like fusaric acid and beauvericin) indicated that they were indeed differentially regulated by fungal inoculation. Among the three genes studied, MusaBAG1 showed the highest up-regulation upon Foc inoculation. Further, in order to characterize these genes in the context of Foc infection in banana, we generated transgenic banana plants constitutively overexpressing the three genes that were later subjected to Foc bioassays in a contained greenhouse. Among the three groups of transgenics tested, transformed banana plants overexpressing MusaBAG1 demonstrated the best resistance towards Foc infection. Further, these plants also showed the highest relative overexpression of the transgene (MusaBAG1) among the three groups of transformed plants generated. Our study showed for the first time that native genes like MusaBAG1 can be used to develop transgenic banana plants with efficient resistance towards pathogens like Foc. PMID:24996429

  11. Energia alternativa de biomassa: bioetanol a partir da casca e da polpa de banana Alternative energy from biomass: bioethanol from banana pulp and peels

    Directory of Open Access Journals (Sweden)

    Ozair Souza

    2012-08-01

    Full Text Available A conversão de biomassas agroindustriais em bioetanol com consequente valorização de rejeitos e resíduos, tem sido objeto de estudos de várias pesquisas realizadas no Brasil e no mundo. Neste trabalho foi avaliada a potencialidade do uso da polpa e da casca da banana (Musa cavendishii , tanto in natura como previamente hidrolisada por ácido e enzimas, como substrato da fermentação alcoólica. Os rendimentos médios em bioetanol (em base úmida de biomassa obtidos com a polpa (0,48 ± 0,05 g g-1 e com a casca (0,34 ± 0,11 g g-1, ambos in natura, possibilitaram a eficiência do processo de conversão, da ordem de 95% do rendimento teórico. A produtividade máxima alcançada em bioetanol foi de 3,0 ± 0,7 g L-1 h-1 com o uso da polpa e de 1,32 ± 0,03 g L-1 h-1 com a casca. Nas condições operacionais avaliadas o pretratamento dos resíduos com ácido sulfúrico não é recomendado para a produção de bioetanol.The conversion of agroindustrial biomasses in bioethanol with consequent enrichment of wastes has been the object of various research projects conducted in Brazil and around the world. This study evaluated the potential of the Musa cavendishii banana pulp and peels using in natural state and also waste previously hydrolyzed by acid and enzimes, as substrate of alcoholic fermentation. The mean bioethanol yields (on wet biomass base, obtained with the pulp (0.48 ± 0.05 g g-1 and with the peels (0.34 ± 0.11 g g-1, both in natural state, enabled a conversion process efficiency to the order of 95% of theoretical yield. Maximum value reached in bioethanol was 3.0 ± 0.7 g L-1 h-1 with pulp and 1.32 ± 0.03 g L-1 h-1 with peels. Under the evaluated operating conditions, the pre-treatment of wastes with sulfuric acid is not recommended for bioethanol production.

  12. Post harvest changes gamma-irradiated banana Prata

    International Nuclear Information System (INIS)

    The effect of the gamma-irradiation was evaluated at 0.25 and 0.50 kGy, on the development of peel coloration, CO2 and ethylene evolution, conversion of starch to sugars, pulp-to-peel ratio, pectic solubilization and activities of enzymes of the cell wall, pectin methylesterase (PME), and polygalacturonase (PG), during maturation of 'Prata' bananas. The gamma-irradiation did not affect the normal colour development of the fruits. An increase in the ethylene peak and a decrease in the CO2 peak was observed. The gamma-irradiation did not affect the degradation of starch, while a delay in soluble sugar accumulation was noted on the 6 and 7 colour grades. The fruits subjected to 0.25 kGy had the highest increase in the pulp-to-peel relation, beginning with colour grade 5, due to a possible stress effect of that dose. An increase of pectin solubilization was observed. Higher PME activities were exhibited by irradiated fruits, although the gamma-irradiation suppressed the PG activity throughout the maturation period. The gamma-irradiation did not extend the post-harvest life of 'Prata' bananas. (author)

  13. Impact Resistance Behaviour of Banana Fiber Reinforced Slabs

    Science.gov (United States)

    Che Muda, Zakaria; Syamsir, Agusril; Nasharuddin Mustapha, Kamal; Rifdy Samsudin, Muhamad; Thiruchelvam, Sivadass; Usman, Fathoni; Beddu, Salmia; Liyana Mohd Kamal, Nur; Ashraful Alam, Md; Birima, Ahmed H.; Zaroog, O. S.

    2016-03-01

    This paper investigate the performance of banana fibre reinforced slabs 300mm × 300mm size with varied thickness subjected to low impact projectile test. A self-fabricated drop-weight impact test rig with a steel ball weight of 1.25 kg drop at 1 m height has been used in this research work. The main variables for the study is to find the relationship of the impact resistance against the BF contents and slab thickness. A linear relationship has been established between first and ultimate crack resistance against BF contents and slab thickness by the experiment. The linear relationship has also been established between the service (first) crack and ultimate crack resistance against the BF contents for a constant spacing for various banana fibre reinforced slab thickness. The increment in BF content has more effect on the first crack resistance than the ultimate crack resistance. The linear relationship has also been established between the service (first) crack and ultimate crack resistance against the various slab thickness. Overall 1.5% BF content with slab thickness of 40 mm exhibit better first and ultimate crack resistance up to 16 times and up to 17 times respectively against control slab (without BF)

  14. The Banana Pulp Polyphenol Oxidase is a Tyrosinase

    Directory of Open Access Journals (Sweden)

    Fatemh Saeid Nematpour

    2008-01-01

    Full Text Available The best extraction result for the polyphenol oxidase (PPO from the Musa cavendishii pulp was obtained using a phosphate buffer (0.02 M, pH 7 containing PVP (2%, triton X-100 (1% and ascorbic acid (0.01%. Two active PPO isozymes were obtained applying a procedure involving dialysis, stepwise precipitation, DEAE and Sephadex column chromatography. The most active isozyme cresolase and catecholase activities in the presence of 4-[(4-Methylphenylazo]-phenol and caffeic acid showed an 11.67 and 13.3 fold recovery, respectively, after isolation. It exhibited a single band PAGE and had a MW of 58.2 kD and pI of 5.28 with the kinetic parameters of (Km = 18.6 μM and Vmax = 2.8 μM min-1 for caffeic acid and (Km = 0.94 mM and Vmax = 14.8 μM min-1 for dopamine. The presence of dopamine in banana pulp and peel was established and the results were discussed in terms of the identity and physiological role of the banana PPO in a collective and conclusive manner.

  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. 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...

  17. 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...

  18. 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.

  19. Role for the banana AGAMOUS-like gene MaMADS7 in regulation of fruit ripening and quality.

    Science.gov (United States)

    Liu, Juhua; Liu, Lin; Li, Yujia; Jia, Caihong; Zhang, Jianbin; Miao, Hongxia; Hu, Wei; Wang, Zhuo; Xu, Biyu; Jin, Zhiqiang

    2015-11-01

    MADS-box transcription factors play important roles in organ development. In plants, most studies on MADS-box genes have mainly focused on flower development and only a few concerned fruit development and ripening. A new MADS-box gene named MaMADS7 was isolated from banana fruit by rapid amplification of cDNA ends (RACE) based on a MADS-box fragment obtained from a banana suppression subtractive hybridization (SSH) cDNA library. MaMADS7 is an AGAMOUS-like MADS-box gene that is preferentially expressed in the ovaries and fruits and in tobacco its protein product localizes to the nucleus. This study found that MaMADS7 expression can be induced by exogenous ethylene. Ectopic expression of MaMADS7 in tomato resulted in broad ripening phenotypes. The expression levels of seven ripening and quality-related genes, ACO1, ACS2, E4, E8, PG, CNR and PSY1 in MaMADS7 transgenic tomato fruits were greatly increased while the expression of the AG-like MADS-box gene TAGL1 was suppressed. Compared with the control, the contents of β-carotene, lycopene, ascorbic acid and organic acid in transformed tomato fruits were increased, while the contents of glucose and fructose were slightly decreased. MaMADS7 interacted with banana 1-aminocyclopropane-1-carboxylic acid (ACC) oxidase gene 1 (MaACO1) and tomato phytoene synthase gene (LePSY1) promoters. Our results indicated that MaMADS7 plays an important role in initiating endogenous ethylene biosynthesis and fruit ripening. PMID:25980771

  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. Sentiment Prediction Based on Dempster-Shafer Theory of Evidence

    OpenAIRE

    Mohammad Ehsan Basiri; Ahmad Reza Naghsh-Nilchi; Nasser Ghasem-Aghaee

    2014-01-01

    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 designi...

  2. Stand Diameter Distribution Modelling and Prediction Based on Richards Function

    OpenAIRE

    Duan, Ai-guo; Zhang, Jian-Guo; Zhang, Xiong-qing; He, Cai-yun

    2013-01-01

    The objective of this study was to introduce application of the Richards equation on modelling and prediction of stand diameter distribution. The long-term repeated measurement data sets, consisted of 309 diameter frequency distributions from Chinese fir (Cunninghamia lanceolata) plantations in the southern China, were used. Also, 150 stands were used as fitting data, the other 159 stands were used for testing. Nonlinear regression method (NRM) or maximum likelihood estimates method (MLEM) we...

  3. 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...

  4. Predicting solar radiation based on available weather indicators

    Science.gov (United States)

    Sauer, Frank Joseph

    Solar radiation prediction models are complex and require software that is not available for the household investor. The processing power within a normal desktop or laptop computer is sufficient to calculate similar models. This barrier to entry for the average consumer can be fixed by a model simple enough to be calculated by hand if necessary. Solar radiation modeling has been historically difficult to predict and accurate models have significant assumptions and restrictions on their use. Previous methods have been limited to linear relationships, location restrictions, or input data limits to one atmospheric condition. This research takes a novel approach by combining two techniques within the computational limits of a household computer; Clustering and Hidden Markov Models (HMMs). Clustering helps limit the large observation space which restricts the use of HMMs. Instead of using continuous data, and requiring significantly increased computations, the cluster can be used as a qualitative descriptor of each observation. HMMs incorporate a level of uncertainty and take into account the indirect relationship between meteorological indicators and solar radiation. This reduces the complexity of the model enough to be simply understood and accessible to the average household investor. The solar radiation is considered to be an unobservable state that each household will be unable to measure. The high temperature and the sky coverage are already available through the local or preferred source of weather information. By using the next day's prediction for high temperature and sky coverage, the model groups the data and then predicts the most likely range of radiation. This model uses simple techniques and calculations to give a broad estimate for the solar radiation when no other universal model exists for the average household.

  5. Project Cost Prediction Model Based on Fuzzy Theory

    OpenAIRE

    Hailing Sun; Tianbao Su

    2013-01-01

    Project cost is the main factor contributing to the cost of construction, which accounts for a large proportion of the total investment. So strengthening the management and control of the project cost will be beneficial for the improvement of international competitiveness and conservation of social resource for construction enterprises. The article applies the basic principles of fuzzy mathematics to project cost prediction, and makes use of the evaluation information of typical project chara...

  6. 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...

  7. A CHAID Based Performance Prediction Model in Educational Data Mining

    OpenAIRE

    R. Bhaskaran; Ramaswami, M.

    2010-01-01

    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 constr...

  8. Predicting Active Users' Personality Based on Micro-Blogging Behaviors

    OpenAIRE

    Lin LI; 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 845 micro-blogging behavioral fe...

  9. The susceptibility of bananas to crown rot disease is influenced by geographical and seasonal effects

    OpenAIRE

    Ewane, Cécile Annie; Lassois, Ludivine; Lepoivre, Philippe; Brostaux, Yves; de Lapeyre de Bellaire, Luc

    2013-01-01

    Crown rot of banana fruits is caused by a complex of fungal pathogens, the most common of which is Colletotrichum musae, and is one of the main quality defects of exported bananas. Susceptibility of banana fruits to crown rot is influenced by many pre-harvest factors. The aim of this study was to improve on the methodology for the evaluation of fruit susceptibility and to verify whether cultivation areas in Cameroon as well as seasonal variations have an influence on the susceptibility to cro...

  10. Transformation of GbSGT1 gene into banana by an Agrobacterium-mediated approach

    Institute of Scientific and Technical Information of China (English)

    2007-01-01

    SGT1 is a homologue of the yeast ubiquitin ligase-associated protein. It controls some protein degradation and activates defense pathway in plants. Cotton GbSGT1 gene (Gossypium barbadense) has been isolated and characterized in previous work. In this study, the plant expression vector pBSGT1 with bar gene as a selection agent was constructed and transgenic banana was obtained via Agrobacterium-mediated transformation with the assistance of particle bombardment and screened with PCR and Basta spreading on banana plant leaves. Estimating of transgenic banana plants for resistance to Panama wilt is in progress.

  11. K40 y Cs137 in bananas exported from Costa Rica

    International Nuclear Information System (INIS)

    Using low level gamma spectroscopy, the specific activity of K40 and Cs137 in banana samples is quantified during the period 1996-1998. The bananas were supplied by the export companies that operate in Costa Rica. The calculated derived intervention level (DIL) for Cs137 was 4000 times greater than the specific activity measured in the fruit due to worldwide nuclear events. This result permits its free commercialization. Banana is an excellent source of potassium, since it was determined that each kg of the fruit has 3.8 g of this element. (Author)

  12. 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.

  13. 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...

  14. Mathematical methodologies for calculating the mass diffusion coefficient of bananas during drying Metodologias matemáticas para cálculo do coeficiente de difusão de massa de bananas durante o processo de secagem

    Directory of Open Access Journals (Sweden)

    Mariângela Amendola

    2007-12-01

    Full Text Available In this work two mathematical methodologies to solve the diffusion differential equation related to the banana drying process were used in order to obtain the mass diffusion coefficient value. A simplified mathematical model was considered that was based on Fick's Law, with initial and boundary conditions according to the experimental procedure carried out for banana drying. The first methodology was performed by using an approximation of the analytical solution and the second by using the numerical simulation according to the implicit scheme of the finite difference method. The calculation was carried out by looking for the minimal value of the norm calculated between the experimental data and the theoretical results obtained using different values of the diffusion coefficient. The algorithms associated with these methodologies were implemented with Matlab. The values of the diffusion coefficient according to the first and second methodologies were 1.65 x 10-6 [m² h-1] and 1.58 x 10-6 [m² h-1] respectively, with the associated minimal residual values of 0.0269 and 0.0257.Neste trabalho se utilizaram duas metodologias matemáticas visando resolver a equação diferencial de difusão aplicada ao processo de secagem de bananas e se obter o valor do coeficiente de difusão de massa. Considerou-se um modelo matemático simplificado, baseado na Lei de Fick, com condições inicial e de contorno de acordo com procedimento experimental conduzido em secagem de bananas; a primeira metodologia foi desenvolvida usando-se uma aproximação da solução analítica e a segunda, a simulação numérica, conforme o esquema implícito do método de diferenças finitas. O cálculo dos coeficientes foi conduzido procurando-se o valor mínimo da norma calculada entre os dados experimentais e os resultados teóricos obtidos com diferentes valores do coeficiente de difusão. Os algoritmos associados a essas metodologias foram implementados com o Matlab. Os valores

  15. 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

  16. Effective diffusivity and convective mass transfer coefficient during the drying of bananas Difusividade efetiva e coeficiente de transferência convectivo de massa durante a secagem de bananas

    Directory of Open Access Journals (Sweden)

    Cleide M. D. P. da S. e Silva

    2012-04-01

    Full Text Available In this article, a methodology is used for the simultaneous determination of the effective diffusivity and the convective mass transfer coefficient in porous solids, which can be considered as an infinite cylinder during drying. Two models are used for optimization and drying simulation: model 1 (constant volume and diffusivity, with equilibrium boundary condition, and model 2 (constant volume and diffusivity with convective boundary condition. Optimization algorithms based on the inverse method were coupled to the analytical solutions, and these solutions can be adjusted to experimental data of the drying kinetics. An application of optimization methodology was made to describe the drying kinetics of whole bananas, using experimental data available in the literature. The statistical indicators enable to affirm that the solution of diffusion equation with convective boundary condition generates results superior than those with the equilibrium boundary condition.Neste artigo, é usada uma metodologia para a determinação simultânea da difusividade efetiva e do coeficiente de transferência convectivo de massa em sólidos porosos que possam ser considerados como um cilindro infinito, durante sua secagem. Dois modelos são utilizados para a otimização e a simulação do processo de secagem: o modelo 1 (volume e difusividade constantes, com condição de contorno de equilíbrio; e o modelo 2 (volume e difusividade constantes, com condição de contorno convectiva. Algoritmos de otimização por varredura, baseados no método inverso, foram acoplados às soluções analíticas referentes aos dois modelos utilizados, possibilitando ajustar tais soluções aos dados experimentais da cinética de secagem em camada fina de produtos com a forma cilíndrica. Foi feita uma aplicação da metodologia de otimização na descrição da cinética de secagem de bananas inteiras, usando dados experimentais disponíveis na literatura. Os indicadores estat

  17. A High Performance Cloud-Based Protein-Ligand Docking Prediction Algorithm

    OpenAIRE

    Jui-Le Chen; Chun-Wei Tsai; Ming-Chao Chiang; Chu-Sing Yang

    2013-01-01

    The potential of predicting druggability for a particular disease by integrating biological and computer science technologies has witnessed success in recent years. Although the computer science technologies can be used to reduce the costs of the pharmaceutical research, the computation time of the structure-based protein-ligand docking prediction is still unsatisfied until now. Hence, in this paper, a novel docking prediction algorithm, named fast cloud-based protein-ligand docking predictio...

  18. Spatial distribution of banana skipper (Erionota thrax L.) (Lepidoptera: Hesperiidae) and its parasitoids in a Cavendish banana plantation, Penang, Malaysia

    Institute of Scientific and Technical Information of China (English)

    JUSTIN N. OKOLLE; MASHHOR MANSOR; ABU HASSAN AHMAD

    2006-01-01

    Spatial distribution of immatures of the banana skipper (Erionota thrax L.) and their parasitisms from three major parasitoids were studied in a Cavendish banana plantation from April 2004 to December 2004. Infestation levels and parasitism ofE. thrax life stages were recorded from bunched plants (BP), flowering plants (FP), preflowered plants (PF),broad leaf followers (BLF) and narrow leaf followers (NLF), as well as on well managed and poorly managed plants. Mean numbers of the immatures and numbers parasitized from the nine blocks in the plantation were fitted to four dispersion indices. Significant numbers of E. thrax immatures and those parasitized by Ooencyrtus erionotae, Cotesia erionotae and Brachymeria albotibialis were recorded from BLF and PF; no eggs were found on BP and FP. Although infestation was higher on well managed plants, only larval parasitism was significandy different. Three of the four indices indicated that eggs and larvae were random while all the indices showed pupae to be clumped. Parasitized eggs and pupae were clumped (4/4 indices) while 3/4 indices revealed a random pattern for parasitized larvae.

  19. 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...

  20. 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.