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Growth of seven perennial plant species adapted to the Brazilian Semi-Arid Acta Botanica
Silva,Paulo Sérgio Lima e; Silva,Kathia Maria Barbosa e; Lôbo,Raimundo Nonato Braga; Silva,Paulo Igor Barbosa e.
Measuring plant height (y) and canopy diameter (x) in trees may not be an easy task, but stem diameter (z) can be more easily evaluated. This work's objective was two-fold: evaluate the growth of species adapted to the Brazilian Semi-Arid Region in the first two years of age, and obtain linear equations to estimate y and x from z, in those species. A random block design with four replications was employed. The values for x, z, and y were measured biannually from October/2003 to March/2005. Prosopis juliflora and Mimosa caesalpiniaefolia showed the highest stem diameter and plant height values, respectively, and both showed the highest canopy diameter. In the equations to estimate plant height from the stem diameter the value of the coefficient of...
Tipo: Info:eu-repo/semantics/article Palavras-chave: Caatinga; Canopy diameter; Plant height; Regression analysis; Stem diameter.
Ano: 2007 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0102-33062007000400018
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Environmental factors affect population structure of tree ferns in the Brazilian subtropical Atlantic Forest Acta Botanica
Schwartz,Carlos Eduardo; Gasper,André Luís de.
ABSTRACT Tree ferns are important elements of tropical forests, mainly because they are common and provide microhabitats for epiphytic plants. Due to their ecological importance, the aim of this study was to evaluate population structure, distribution, and influence of environmental variables on tree ferns in the state of Santa Catarina, southern Brazil. All tree ferns with a diameter at breast height ≥ 10 cm on 418 sampling units (SUs) systematically distributed throughout the study area were measured (total sampled area of ​​153.4 ha). Population structure was evaluated through classical phytosociological parameters and the relationships among dominance and environmental variables were evaluated through multiple linear regression models. Dicksonia...
Tipo: Info:eu-repo/semantics/article Palavras-chave: Cyatheaceae; Dicksoniaceae; Environmental variables; Population structure; Regression analysis; Tree ferns.
Ano: 2020 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0102-33062020000100204
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Relationship between water transparency and physical-chemical variables in lakes of the western Amazon, Brazil - doi: 10.4025/actascibiolsci.v34i1.9311 Biological Sciences
Trevisan, Giselle Vanessa; Instituto Nacional de Pesquisas Espaciais - INPE; Jardim-Lima, Dayson José; Instituto Nacional de Pesquisas Espaciais - INPE.
Water transparency is one of the main indicators of seasonal changes from the water level in lacustrine systems, but other environmental spatial and temporal variables can act jointly on water transparency. The diagnosis of interactions among physical-chemical variables and water transparency can be made by fitting statistical models based on multiple regression analysis. The objective of this study is to evaluate the set of limnologic variables that best predict the seasonal variation in water transparency in lakes of the western Amazon. These data were collected in both the drought and flood seasons in 78 lakes of the Mamirauá Reserve for Sustainable Development (RDSM). The delineation of the sampling followed the choice of variables, the analysis of...
Tipo: Composição bioquímica da água. Palavras-chave: Ecologia de Ecossistemas. Limnologia. water transparency; Regression analysis; Lakes; Amazon; Mamirauá Reserve for Sustainable Development Ecologia de Ecossistemas (2.05.02.00-1).
Ano: 2011 URL: http://periodicos.uem.br/ojs/index.php/ActaSciBiolSci/article/view/9311
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Global patterns of aboveground carbon stock and sequestration in mangroves Anais da ABC (AABC)
ESTRADA,GUSTAVO C.D.; SOARES,MÁRIO L.G..
ABSTRACT In order to contribute to understand the factors that control the provisioning of the ecosystem service of carbon storage by mangroves, data on carbon stock and sequestration in the aboveground biomass (AGB) from 73 articles were averaged and tested for the dependence on latitude, climatic parameters, physiographic types and age. Global means of carbon stock (78.0 ± 64.5 tC.ha-1) and sequestration (2.9 ± 2.2 tC.ha-1.yr-1) showed that mangroves are among the forest ecosystems with greater capacity of carbon storage in AGB per area. On the global scale, carbon stock increases toward the equator (R²=0.22) and is dependent on 13 climatic parameters, which can be integrated in the following predictive equation: Carbon Stock in AGB = -16.342 + (8.341 x...
Tipo: Info:eu-repo/semantics/article Palavras-chave: Biomass; Carbon; Ecosystem services; Mangrove; Regression analysis; WorldClim.
Ano: 2017 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0001-37652017000300973
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Determination of Drilling Rate Index Based on Rock Strength Using Regression Analysis Anais da ABC (AABC)
YENICE,HAYATI.
Abstract: Drillability is influenced by many factors, including machine parameters and rock properties. The main machine parameters for drilling include rotational speed, thrust force, torque and flush pressure. The specific rock characteristics that affect penetration rate comprise uniaxial compressive strength (UCS), tensile strength, Young’s modulus, hardness and brittleness. In this study, drilling rate index (DRI) is attempted to predict based on UCS and Brazilian tensile strength (BTS) of rocks. Simple and multiple regression analyses have been carried out to determine the best measure of the relation between DRI and two geomechanical properties. The DRI value is strongly related to the uniaxial compressive strength and indirect tensile strength....
Tipo: Info:eu-repo/semantics/article Palavras-chave: Drillability; Uniaxial compressive strength; Tensile strength; Regression analysis.
Ano: 2019 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0001-37652019000500906
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Forecasting the Electricity Consumption in a Higher Education Institution BABT
Pepplow,Luiz Amilton; Betini,Roberto C.; Pereira,Thulio C. G..
Abstract The objective of this paper is to present a mathematical representation by Regression Analysis that enables the projection of electricity consumption according to the built area and population in Higher Education Institutions (HEI) and to define an Indicator that contemplates the most significant variable in consumption. of electric power. The Null Hypothesis -H0 is that in a HEI the most appropriate indicator is the Kilo Watt Hour per square meter (kWh / m2) as proposed by the Ministry of Planning and Management - MP. The research universe is 2,368 HEI, identified in a report from the Ministry of Education (2015). As Sample and case study, data from the thirteen Campi of the Federal Technological University of Paraná (UTFPR) are used. As a...
Tipo: Info:eu-repo/semantics/article Palavras-chave: Indicators of electricity consumption; Regression analysis; Decision making.
Ano: 2019 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1516-89132019000200203
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Development of a clinical scoring system for the diagnosis of smear-negative pulmonary tuberculosis BJID
Soto,Alonso; Solari,Lely; Agapito,Juan; Acuna-Villaorduna,Carlos; Lambert,Marie-Laurence; Gotuzzo,Eduardo; Stuyft,Patrick Van der.
This study developed a clinical score based on clinical and radiographic data for the diagnosis of smear-negative pulmonary tuberculosis (SNPT). SNPT was defined as a positive culture in Ogawa in a patient with two negative sputum smears. Data from patients admitted to the emergency ward with respiratory symptoms and negative acid-fast bacilli (AFB) smears was analyzed by means of logistic regression to develop the predictive score.Two hundred and sixty two patients were included. Twenty patients had SNPT. The variables included in the final model were hemoptysis, weight loss, age > 45 years old, productive cough, upper-lobe infiltrate, and miliary infiltrate. With those, a score was constructed. The score values ranged from -2 to 6. The area under the...
Tipo: Info:eu-repo/semantics/article Palavras-chave: Tuberculosis; Pulmonary; Regression analysis; Scoring methods.
Ano: 2008 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1413-86702008000200006
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Effect of solvent polarity on extraction yield and antioxidant properties of phytochemicals from bean (Phaseolus vulgaris) seeds BJPS
Nawaz,Haq; Shad,Muhammad Aslam; Rehman,Najiha; Andaleeb,Hina; Ullah,Najeeb.
The effect of solvent polarity on extraction yield and antioxidant properties of phytochemical compounds in bean seeds was studied. Seed flour of three varieties of bean was extracted in a series of organic solvents with increasing polarity (n-hexane, petroleum ether, chloroform, ethyl acetate, ethanol, acetone and water). Preliminary screening of phytochemicals showed the presence of tannins, flavonoids, cardiac glycosides, anthocyanins, terpenoids, carotenoids, ascorbic acid and reducing compounds in all extracts. One way analysis of variance (ANOVA) of results showed that extraction yield, phytochemical content and antioxidant properties were significantly influenced (p<0.05) by the polarity of extracting solvents. The regression analysis of data...
Tipo: Info:eu-repo/semantics/article Palavras-chave: Beans seeds/antioxidant properties; Phaseolus vulgaris/phytochemical composition; Regression analysis; Solvent polarity.
Ano: 2020 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1984-82502020000100501
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Validation of a leaf area prediction model proposed for rose Chilean J. Agric. Res.
Fascella,Giancarlo; Darwich,Salem; Rouphael,Youssef.
Leaf area (LA) is a valuable key for evaluating plant growth, therefore accurate, simple, and nondestructive methods for LA determination are important for physiological and agronomic studies. A LA prediction model based on leaf length (L) and width (W) and developed under greenhouse on 14 cultivars of rose (Rosa hybr.*) was validated on a different cultivar of R. hybrida 'Red France' and on a wild rose species (Rosa sempervirens L.) grown under open-field conditions with two light environments: ambient and 50% shade. Comparisons between measured vs. calculated LA using the following model: LA (cm²) = 0.56 + 0.717 LW, showed a high degree of correlation (R² > 0.95) and provided quantitative evidence of the validity of the LA prediction model. Calculated...
Tipo: Journal article Palavras-chave: Leaf length; Leaf width; Rosa hybr; Rosa sempervirens; Light environments; Regression analysis; Model validation.
Ano: 2013 URL: http://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0718-58392013000100011
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Analysis of factors affecting production costs and profitability of milk and dairy products in Turkey Ciênc. Tecnol. Aliment.
AKIN,Ahmet Cumhur; CEVGER,Yavuz.
Abstract White cheese, kashar cheese, yogurt, and ayran are among the most common products produced by the dairy industry in Turkey. The present study determined the production cost of 1 kg of these packaged products as well as the financial implications on their distribution and the total cost. The study also estimated the cost factors affecting the profitability of the products by identifying the cost differences between production regions and scales, using a mean regression model for each product. The study used the data collected through a survey involving 15 dairy plants of three different sizes located in five different regions and involved in raw milk production. The study found a 2-year average capacity utilization rate of the businesses to be...
Tipo: Info:eu-repo/semantics/article Palavras-chave: Dairy industry; Economic; Cost; Husbandry; Regression analysis.
Ano: 2019 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0101-20612019000300781
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Sensory stability of whole mango juice: influence of temperature and storage time Ciênc. Tecnol. Aliment.
Oliveira,Anderson do Nascimento; Ramos,Afonso Mota; Minim,Valéria Paula Rodrigues; Chaves,José Benício Paes.
This study investigated the degradation kinetics of the sensory attributes of commercial whole mango (cv. Ubá) juice and evaluated its sensory acceptability during storage. Samples of the product were stored in a BOD incubator at 25, 35, and 45 ºC under 24 hours light (650 lux) for 120 days. Sensory analyses (Quantitative Descriptive Analysis - QDA) were conducted with trained panel and consumers. The correlations between sensory and physicochemical characteristics (instrumental color and vitamin C content) were also assessed. Flavor, aroma, and color vary with temperature and time of storage. Aroma and flavor were most affected by temperature with values of Q10 and Ea equal to 4.16 and 25.31 kcal.mol-1; and 3.61 and 22.80 kcal.mol-1, respectively. The...
Tipo: Info:eu-repo/semantics/article Palavras-chave: Ubá mango; Regression analysis; Degradation kinetics; Shelf-life.
Ano: 2012 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0101-20612012000400027
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Maximum efficiency concentration of indole butyric acid in promoting the rooting of Japanese Flowering Cherry Ciência Rural
Fragoso,Rosimeri de Oliveira; Stuepp,Carlos André; Rickli,Helena Cristina; Zuffellato-Ribas,Katia Christina; Koehler,Henrique Soares.
ABSTRACT: Prunus serrulata is a species widely used in the ornamentation and its economic importance is mainly due to the time of its flowering. The objective was to assess the feasibility of cutting technique for propagating P. serrulata , using stem cuttings from current-year shoots, and to estimate the maximum efficiency concentration of auxin indole butyric acid (IBA), in the promotion of rooting. Collection of plant material took place in late spring. Cuttings were made with about 8±1cm length and two leaves reduced to 50% of its original surface. Twenty one IBA concentrations have been assessed (0, 250, 500, 750, 1000, 1250, 1500, 1750, 2000, 2250, 2500, 2750, 3000, 3250, 3500, 3750, 4000, 4250, 4500, 4750 e 5000mg L-1), applied in base of cuttings,...
Tipo: Info:eu-repo/semantics/article Palavras-chave: Current-year shoots; Cutting technique; Ornamental species; Prunus serrulata; Regression analysis.
Ano: 2017 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0103-84782017000100203
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Estimación de volumen, biomasa y carbono aéreo en tres especies arbóreas de Pluma Hidalgo, Oaxaca. Colegio de Postgraduados
Aquino Ramírez, Martín.
Los reservorios y el potencial de almacenamiento de la cantidad biomasa y carbono se desconocen en la mayoría de los bosques tropicales de México, por lo que es importante realizar estimaciones precisas mediante el desarrollo de ecuaciones alométricas para conocer su variación espacial y temporal presente en los ecosistemas forestales. El presente estudio se realizó en el municipio de Pluma Hidalgo, Oaxaca, México, perteneciente a la región fisiográfica de la Sierra Madre del Sur, con el objetivo de desarrollar ecuaciones para estimar volumen comercial, biomasa y carbono aéreo total en las especies Cupania dentata DC., Alchornea latifolia Sw. e Inga punctata Willd. Se aplicó un muestreo destructivo a 48 árboles de los que se obtuvieron muestras de los...
Palavras-chave: Árboles tropicales; Análisis de regresión; Variable indicadora; Ecuaciones alométricas; Concentración de carbono; Tropical trees; Regression analysis; Indicator variable; Allometric equations; Carbon concentration; Ciencias Forestales; Maestría.
Ano: 2014 URL: http://hdl.handle.net/10521/2333
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Uso de informações ambientais na modelagem e interpretação da interação genótipo x ambiente: revisão bibliográfica. Infoteca-e
COSTA NETO, G. M. F.; DUARTE, J. B.; CASTRO, A. P. de; HEINEMANN, A. B..
A identificação dos fatores causais da interação genótipo x ambiente (GE) e a quantificação destes sobre a variação residual, não explicada pelos efeitos principais, são elementos-chave para o entendimento da adaptação fenotípica. Nos programas de melhoramento há a necessidade da tomada de decisões, como selecionar as linhagens nos ensaios multiambientais (MET). Métodos analíticos vinculados a protocolos de ambientipagem (caracterização ambiental) possibilitam inferências úteis à tomada de decisão, como a identificação de fatores ambientais e genotípicos determinantes da interação GE, a adaptabilidade e a estabilidade contempladas em função de fatores climáticos, edáficos e bióticos, a localização geográfica e o manejo cultural, a perspectiva de avaliação...
Tipo: Folhetos Palavras-chave: Regressão analítica; Interação genótipo x ambiente; Interação Genética; Genótipo; Sistema de Informação Geográfica; Condição Ambiental; Genotype-environment interaction; Regression analysis; Geographic information systems.
Ano: 2020 URL: http://www.infoteca.cnptia.embrapa.br/infoteca/handle/doc/1124389
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Use of rotavirus virus-like particles as surrogates to evaluate virus persistence in shellfish ArchiMer
Loisy, Fabienne; Atmar, R; Le Saux, Jean-claude; Cohen, J; Caprais, Marie-paule; Pommepuy, Monique; Le Guyader, Soizick.
Rotavirus virus-like particles (VLPs) and MS2 bacteriophages were bioaccumulated in bivalve mollusks to evaluate viral persistence in shellfish during depuration and relaying under natural conditions. Using this nonpathogenic surrogate virus, we were able to demonstrate that about 1 log(10) of VLPs was depurated after 1 week in warm seawater (22 degrees C). Phage MS2 was depurated more rapidly (about 2 log(10) in 1 week) than were VLPs, as determined using a single-compartment model and linear regression analysis. After being relayed in the estuary under the influence of the tides, VLPs were detected in oysters for up to 82 days following seeding with high levels of VLPs (concentration range between 10(10) and 10(9) particles per g of pancreatic tissue)...
Tipo: Text Palavras-chave: Seawater; Viral diseases; Bioaccumulation; Depuration; Contamination; Model; Pancreas; Regression analysis; Shellfish; Phages; Virus.
Ano: 2005 URL: http://archimer.ifremer.fr/doc/2005/publication-1233.pdf
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On the Prediction of Personal Stature from Cranial Dimensions International Journal of Morphology
Ilayperuma,Isurani.
Dimensional relationship between body segments and stature has been the focus of scientists for many years. All such studies were based on the fact that body segments exhibit consistent ratios relative to the stature and these ratios are linked to age, gender and race. Racial characters are best defined in the skull. Therefore, prediction of stature from cranial remains is vital in establishing the identity of an unknown individual. Despite its significance, little is known concerning the cranial dimensions in Sri Lankans. Hence, this study was designed to investigate the relationship and to propose a gender and age specific linear regression model between the cranial dimensions and height of an individual. A total of 400 subjects with an age span of 20-23...
Tipo: Journal article Palavras-chave: Cranial dimensions; Stature; Regression analysis; Sri Lanka.
Ano: 2010 URL: http://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0717-95022010000400024
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Prediction of Stature According to Three Head Measurements International Journal of Morphology
Rexhepi,Agron M; Brestovci,Behlul.
Morphometry is a non-invasive method important to assess the size, proportions, and composition of the human body. Because the prediction is an important subject in almost all life sciences, the aim of this research was to find out the cephalofacial variables that may predict the body height. Three cephalofacial variables and the body height were measured on 288 adult male subjects of the Kosovo Albanian population, aged 18­35 years old. Using the procedures of regressive analysis we found that cephalofacial variables: head height, head circumferences, face height, significantly may predict body height, and in this way we derived the specific regression equation for estimation of the body height, based on these cephalofacial variables. The predicted body...
Tipo: Journal article Palavras-chave: Morphometry; Cephalofacial variables; Stature; Regression analysis.
Ano: 2015 URL: http://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0717-95022015000300055
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Cranial Capacity in an Adult Sri Lankan Population: Sexual Dimorphism and Ethnic Diversity International Journal of Morphology
Ilayperuma,I.
Cranial capacity exerts a close correlation with the volume of the brain. A large body of evidence shows a clear racial variation in cranial dimensions. Therefore detailed knowledge of the population specific data on biometric features of the cranial cavity is important in the study and comparison of the crania of populations from different racial backgrounds, assessing growth and development of an individual and in the diagnosis of any abnormalities of cranial size and shape. Despite its significance, little is known concerning the cranial capacity in Sri Lankans. Hence, the present study was undertaken to establish the cranial capacity in an adult Sri Lankan population. A total of 210 subjects with an age span of 20-23 years were included in the study....
Tipo: Journal article Palavras-chave: Cranial capacity; Linear dimensions; Regression analysis; Sri Lanka.
Ano: 2011 URL: http://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0717-95022011000200029
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Predictive determinants of scorpion stings in a tropical zone of south Iran: use of mixed seasonal autoregressive moving average model J. Venom. Anim. Toxins incl. Trop. Dis.
Ebrahimi,Vahid; Hamdami,Esmael; Moemenbellah-Fard,Mohammad Djaefar; Jahromi,Shahrokh Ezzatzadegan.
Abstract Background: More than 1.2 million scorpion stings occur annually worldwide, particularly in tropical regions. In the absence of proper medical care, mortality due to venomous scorpion stings is an important public health issue. The aim of the present study is to explore the temporal trend of scorpionism with time series models and determine the effective factors on this event using regression models. Methods: A retrospective cross sectional study was conducted on 853 scorpion stung patients. They were referred to Haji-Abad Hospital of Hormozgan University of Medical Sciences (HUMS), south Iran, from May 2012 to July 2016. A linear model to describe and predict the monthly trend of scorpion sting cases is fit with autoregressive moving average...
Tipo: Info:eu-repo/semantics/article Palavras-chave: Climate; Mixed seasonal ARMA; Regression analysis; Scorpion; Scorpion stings; Time series; Iran.
Ano: 2017 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1678-91992017000100315
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Screening for ketosis using multiple logistic regression based on milk yield and composition OAK
KAYANO, Mitsunori; KATAOKA, Tomoko; 茅野, 光範.
Multiple logistic regression was applied to milk yield and composition data for 632 records of healthy cows and 61 records of ketotic cows in Hokkaido, Japan. The purpose was to diagnose ketosis based on milk yield and composition, simultaneously. The cows were divided into two groups: (1) multiparous, including 314 healthy cows and 45 ketotic cows and (2) primiparous, including 318 healthy cows and 16 ketotic cows, since nutritional status, milk yield and composition are affected by parity. Multiple logistic regression was applied to these groups separately. For multiparous cows, milk yield (kg/day/cow) and protein-to-fat (P/F) ratio in milk were significant factors (P<0.05) for the diagnosis of ketosis. For primiparous cows, lactose content (%), solid...
Palavras-chave: Herd test; Metabolic disorder; Perinatal disease; P/F ratio; Regression analysis.
Ano: 2015 URL: http://ir.obihiro.ac.jp/dspace/handle/10322/4221
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