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| Registros recuperados: 58 | |
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| SAHACHAIRUNGRUENG, WORANITTA; TEERACHAICHAYUT, SONTISUK. |
| Near infrared hyperspectral imaging (NIR-HSI) is a method that can be used to evaluate quality of fruit nondestructively. The objective of this research was to study the feasibility of NIR-HSI reflectance mode, within the wavelength of 935-1720 nm, for predicting quality of longans. The two important factors chosen were: total soluble solids (TSS) and moisture content (MC). Each longan was assessed by first measuring its spectral data then measuring its TSS and MC to establish calibration models using multiple linear regression (MLR) compared with partial least squares regression (PLSR). Original spectra of longans gave the optimum results by PLSR for developing the models with correlation coefficients (Rp) of 0.76 for TSS and 0.88 for MC as well as root... |
| Tipo: Info:eu-repo/semantics/article |
Palavras-chave: Spectra; Nondestructive; Calibration; Prediction; Images. |
| Ano: 2022 |
URL: http://www.cigrjournal.org/index.php/Ejounral/article/view/7203 |
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| Rosa-Filho,José Souto; Bemvenuti,Carlos Emílio; Elliott,Michael. |
| This study aimed to predict the biological parameters (species composition, abundance, richness, diversity and evenness) of benthic assemblages in southern Brazil estuaries using models based on environmental data (sediment characteristics, salinity, air and water temperature and depth). Samples were collected seasonally from five estuaries between the winter of 1996 and the summer of 1998. At each estuary, samples were taken in unpolluted areas with similar characteristics related to presence or absence of vegetation, depth and distance from the mouth. In order to obtain predictive models, two methods were used, the first one based on Multiple Discriminant Analysis (MDA), and the second based on Multiple Linear Regression (MLR). Models using MDA had... |
| Tipo: Info:eu-repo/semantics/article |
Palavras-chave: Prediction; Models; Benthos; Estuary; Southern Brazil. |
| Ano: 2004 |
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1516-89132004000400015 |
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| Silva,Luzia Poliana Anjos da; Cavalheiro,Laura Giotto; Queirós,Fernanda; Nova,Camila Vila; Lucena,Rita. |
| Bacterial meningitis is still a major public health threat inside developing countries. In Brazil, the Department of Public Health estimates that the prevalence of bacterial meningitis is 22 cases per 100,000 persons. During the neonatal period, the bacterial meningitis develops special characteristics that can result in hearing problems and movement loss due to neurological and psychological damages. This study had the aim to analyze the prevalence of bacterial meningitis and sepsis in newborns during the pregnancy period for those using the public health care system in Salvador-Bahia. One of the goal was to describe the risk factors of bacterial meningitis and sepsis in newborns. A second goal was to identify, based on newborn health records, the... |
| Tipo: Info:eu-repo/semantics/article |
Palavras-chave: Newborn meningitis; Sepsis; Prevalence; Prediction; Complications. |
| Ano: 2007 |
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1413-86702007000200021 |
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| Teng,Feixiang; Sun,Jinxia; Yu,Lili; Li,Qisong; Cui,Yubao. |
| Dermatophagoides farinae (Der f), one of the main species of house dust mites, produces more than 30 allergens. A recently identified allergen belonging to the alpha-tubulin protein family, Der f 33, has not been characterized in detail. In this study, we used bioinformatics tools to construct the secondary and tertiary structures and predict the B and T cell epitopes of Der f 33. First, protein attribution, protein patterns, and physicochemical properties were predicted. Then, a reasonable tertiary structure was constructed by homology modeling. In addition, six B cell epitopes (amino acid positions 34–45, 63–67, 103–108, 224–230, 308–316, and 365–377) and four T cell epitopes (positions 178–186, 241–249, 335–343, and 402–410) were predicted. These... |
| Tipo: Info:eu-repo/semantics/article |
Palavras-chave: Der f 33; Homology modeling; B-cell epitope; T-cell epitope; Prediction. |
| Ano: 2018 |
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-879X2018000500601 |
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| Duan,X-Y.; Wang,W.; Li,M.; Li,Y.; Guo,Y-M.. |
| 18F-fluoro-2-deoxyglucose (FDG) positron emission tomography (PET)/computed tomography (CT) is widely used to diagnose and stage non-small cell lung cancer (NSCLC). The aim of this retrospective study was to evaluate the predictive ability of different FDG standardized uptake values (SUVs) in 74 patients with newly diagnosed NSCLC. 18F-FDG PET/CT scans were performed and different SUV parameters (SUVmax, SUVavg, SUVT/L, and SUVT/A) obtained, and their relationship with clinical characteristics were investigated. Meanwhile, correlation and multiple stepwise regression analyses were performed to determine the primary predictor of SUVs for NSCLC. Age, gender, and tumor size significantly affected SUV parameters. The mean SUVs of squamous cell carcinoma were... |
| Tipo: Info:eu-repo/semantics/article |
Palavras-chave: 18F-FDG PET/CT; Standardized uptake value (SUV); Prediction; Non-small cell lung cancer. |
| Ano: 2015 |
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-879X2015000300267 |
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| Bocco,Mónica; Willington,Enrique; Arias,Mónica. |
| The incident solar radiation on soil is an important variable used in agricultural applications; it is also relevant in hydrology, meteorology and soil physics, among others. To estimate this variable, empirical models have been developed using several parameters and, recently, prognostic and prediction models based on artificial intelligence techniques such as neural networks. The aim of this work was to develop linear models and neural networks, multilayer perceptron, to estimate daily global solar radiation and compare their efficiency in its application to a region of the Province of Salta, Argentina. Relative sunshine duration, maximum and minimum temperature, rainfall, binary rainfall and extraterrestrial solar radiation data for the period... |
| Tipo: Journal article |
Palavras-chave: Modeling; Prediction; Linear regression; Multilayer perceptron. |
| Ano: 2010 |
URL: http://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0718-58392010000300010 |
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| ABDULLAH,Ahsan. |
| Abstract The total available land for food, fuel, or forests is finite, while land demand is increasing and expected to increase further in the coming decades; resulting in deterioration of food security. Therefore, the corporate world adopted a solution of acquiring international agricultural land. Consequently, the global demand for land has progressively risen, but the question requiring decision support is - which lands to acquire for food production to ensure future food security? Food Science and Technology has vital pivotal roles to play in improving this situation, as food science is inherently multidisciplinary and motivated by the use of new technologies. In this paper, we endeavour to address this multidisciplinary food science question, by... |
| Tipo: Info:eu-repo/semantics/article |
Palavras-chave: Food science; Prediction; Food security; Decision support; Middle East North Africa. |
| Ano: 2019 |
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0101-20612019000200301 |
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| Martins,Tailon; Barreto,Alisson Castro; Coronel,Daniel Arruda; Jacobi,Luciane Flores; Lirio,Valentina Wolff; Souza,Adriano Mendonça. |
| ABSTRACT: The objective of this research was to forecast the Brazilian national production of agricultural and road machinery in the short term by BOX & JENKINS methodology and determine the persistence effect. Data were obtained at National Association of Automotive Vehicle Manufacturers (ANFAVEA) from January 1960 to October 2019, totaling 718 monthly observations. The Autoregressive Integrated Moving Average (ARIMA) and Autoregressive Conditional Heteroscedasticity (ARCH) methodology were used. The ARIMA (2,1,1)-ARCH (2) model was fitted and persistence of 0.60 was determined, showing that the instability in the series will be for a long period of time. |
| Tipo: Info:eu-repo/semantics/article |
Palavras-chave: Time series; Prediction; Volatility; Agricultural machinery; Road machinery. |
| Ano: 2020 |
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0103-84782020000600351 |
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| Peterson, Garry D; McGill University; garry.peterson@mcgill.ca; Beard Jr., T. Douglas; Wisconsin Department of Natural Resources; BEARDT@dnr.state.wi.us; Beisner, Beatrix E; University of Wisconsin-Madison; bebeisner@facstaff.wisc.edu; Bennett, Elena M; University of Wisconsin-Madison; embennett@wisc.edu; Carpenter, Stephen R; University of Wisconsin-Madison; srcarpen@wisc.edu; Cumming, Graeme; University of Florida; cummingg@wec.ufl.edu; Dent, C. Lisa; University of Wisconsin-Madison; ldent@facstaff.wisc.edu,; Havlicek, Tanya D; University of Wisconsin-Madison; TDHAVLIC@students.wisc.edu. |
| The Northern Highlands Lake District of Wisconsin is in transition from a sparsely settled region to a more densely populated one. Expected changes offer benefits to northern Wisconsin residents but also threaten to degrade the ecological services they rely on. Because the future of this region is uncertain, it is difficult to make decisions that will avoid potential risks and take advantage of potential opportunities. We adopt a scenario planning approach to cope with this problem of prediction. We use an ecological assessment framework developed by the Millennium Ecosystem Assessment to determine key social and ecological driving forces in the Northern Highlands Lake District. From these, we describe three alternative scenarios to the year 2025 in which... |
| Tipo: Peer-Reviewed Reports |
Palavras-chave: Northern Highlands Lake District; Wisconsin; Assessment; Ecosystem services; Freshwater; Futures; Prediction; Scenario planning. |
| Ano: 2003 |
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| Al-Janobi,Abdulrahman; Al-Hamed,Saad; Aboukarima,Abdulwahed; Almajhadi,Yousef. |
| ABSTRACT Draft and energy requirements are the most important factors in the activities of farm machinery management owing to their role in matching the tractor with implements for different tillage operations. This study's aim was to model the draft and energy requirements of a moldboard plow based on two novel variables. The first was the soil texture index (STI), which was formed from the clay, sand, and silt contents with a range of 0.03–0.84. The second variable was the field working index (FWI), formed by combining the plow width, plowing speed, soil bulk density, soil moisture content, plowing depth, and tractor power into one dimensionless variable, which had a range of 7.17–82.45. The coefficient of determination (R2) values obtained using a... |
| Tipo: Info:eu-repo/semantics/article |
Palavras-chave: Soil texture index; Field working index; Artificial neural network; Prediction; Tillage. |
| Ano: 2020 |
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-69162020000300363 |
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| Michels,Marcus; Matte,Ursula; Fraga,Lucas Rosa; Mancuso,Aline Castello Branco; Ligabue-Braun,Rodrigo; Berneira,Elias Figueroa Rodrigues; Siebert,Marina; Sanseverino,Maria Teresa Vieira. |
| Abstract Pathogenic variants in the Cystic Fibrosis Transmembrane Conductance Regulator gene (CFTR) are responsible for cystic fibrosis (CF), the commonest monogenic autosomal recessive disease, and CFTR-related disorders in infants and youth. Diagnosis of such diseases relies on clinical, functional, and molecular studies. To date, over 2,000 variants have been described on CFTR (~40% missense). Since few of them have confirmed pathogenicity, in silico analysis could help molecular diagnosis and genetic counseling. Here, the pathogenicity of 779 CFTR missense variants was predicted by consensus predictor PredictSNP and compared to annotations on CFTR2 and ClinVar. Sensitivity and specificity analysis was divided into modeling and validation phases using... |
| Tipo: Info:eu-repo/semantics/article |
Palavras-chave: CFTR; Missense variant; Prediction; Bioinformatics; Cystic fibrosis. |
| Ano: 2019 |
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1415-47572019000400560 |
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| Barroso,Paulo Augusto Vianna; Geraldi,Isaias Olívio; Vieira,Maria Lúcia Carneiro; Pulcinelli,Carlos Eduardo; Vencovsky,Roland; Dias,Carlos Tadeu dos Santos. |
| In order to verify whether genetic distance (GD) is associated with population mean (PM), genetic variance (GV) and the proportion of superior progenies generated by each cross in advanced generations of selfing (PS), the genetic distances between eight soybean lines (five adapted and three non-adapted) were estimated using 213 polymorphic RAPD markers. The genetic distances were partitioned according to Griffing's Model I Method 4 for diallel analysis, i.e., GDij = GD+ GGDi+ GGDj + SGDij. Phenotypic data were recorded for seed yield and plant height for 25 out of 28 populations of a diallel set derived from the eight soybean lines and evaluated from F2:8 to F2:11 generations. No significant correlation for seed yield was detected between GD and GV, while... |
| Tipo: Info:eu-repo/semantics/article |
Palavras-chave: Soybean; Genetic distance; Molecular markers; RAPD; Prediction. |
| Ano: 2003 |
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1415-47572003000300020 |
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| Registros recuperados: 58 | |
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