Probability Distributions of Peanut Seed Size

Abstract Procedures and mathematical relationships were developed to describe seed size distributions for Florigiant, Florunner, and Starr peanut (Arachis hypogaea L.) varieties. Of six standard probability distributions studied, the normal and logistic distributions provided the best fit for the experimental data, These two distributions were therefore fitted to seed size data for several lots of peanuts. For each lot both the normal and logistic distributions provided an excellent fit to the experimental data, but the logistic was slightly superior. Differences between experimental and calculated values were greatest for lots that were the least or most mature. A logistic distribution was also fitted to the average of all data for each variety. These relationships may be used to better relate seed size to quality, marketing, shelling, and processing. They will also be useful in research studies of the effects on seed size of such variables as variety, agronomic practices, climate, soil moisture, and harvest dates.

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Estimate the probability density function of maximum temperature for the Middle East

Przegląd Naukowy Inżynieria i Kształtowanie Środowiska ◽

10.22630/pniks.2020.29.4.45 ◽

2020 ◽

Vol 29 (4) ◽

pp. 517-531

Author(s):

Iqbal Al-Ataby ◽

Amani Al-Tmimi

Keyword(s):

Middle East ◽

Goodness Of Fit ◽

Heat Waves ◽

Probability Distributions ◽

Temperature Data ◽

Maximum Temperature ◽

Logistic Distribution ◽

Recent Past ◽

Ecmwf Model ◽

Best Fit

Pollution is one reasons for increase temperature which leads to increase the heat waves which have large socioeconomic and healthy impacts on Middle East. By using monthly daily mean of maximum temperature (C°) at height (2m) covered middle east as a grid of (1581) points for selected months (March, April, May) represent spring and (Jun, July, August) represent Summer for the period 1979 to2018, from the ECMWF, model ERA-interim. Many PDFs have been proposed in recent past, but in present study Logistic, Rayleigh and Gamma distribution are used to describe the characteristics of maximum temperature. This paper attempts to determine the best fitted probability distribution of maximum temperature. To check the accuracy of the predicted data using theoretical probability distributions the goodness of fit criteria Z-test used in this paper. According to the goodness-of-fit criteria and from the graphical comparisons it can be said that Logistic distribution provides the best fit for the observed monthly daily mean of maximum temperature data.

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Smart Design Nano-Hybrid Formulations by Machine Learning

Proceedings ◽

10.3390/iecp2020-08700 ◽

2020 ◽

Vol 78 (1) ◽

pp. 5

Author(s):

Raquel de Melo Barbosa ◽

Fabio Fonseca de Oliveira ◽

Gabriel Bezerra Motta Câmara ◽

Tulio Flavio Accioly de Lima e Moura ◽

Fernanda Nervo Raffin ◽

...

Keyword(s):

Machine Learning ◽

Experimental Data ◽

Water Solubility ◽

Inorganic Materials ◽

Fine Tuning ◽

Support Vector ◽

Drug Solubility ◽

Physical Behavior ◽

Best Fit

Nano-hybrid formulations combine organic and inorganic materials in self-assembled platforms for drug delivery. Laponite is a synthetic clay, biocompatible, and a guest of compounds. Poloxamines are amphiphilic four-armed compounds and have pH-sensitive and thermosensitive properties. The association of Laponite and Poloxamine can be used to improve attachment to drugs and to increase the solubility of β-Lapachone (β-Lap). β-Lap has antiviral, antiparasitic, antitumor, and anti-inflammatory properties. However, the low water solubility of β-Lap limits its clinical and medical applications. All samples were prepared by mixing Tetronic 1304 and LAP in a range of 1–20% (w/w) and 0–3% (w/w), respectively. The β-Lap solubility was analyzed by UV-vis spectrophotometry, and physical behavior was evaluated across a range of temperatures. The analysis of data consisted of response surface methodology (RMS), and two kinds of machine learning (ML): multilayer perceptron (MLP) and support vector machine (SVM). The ML techniques, generated from a training process based on experimental data, obtained the best correlation coefficient adjustment for drug solubility and adequate physical classifications of the systems. The SVM method presented the best fit results of β-Lap solubilization. In silico tools promoted fine-tuning, and near-experimental data show β-Lap solubility and classification of physical behavior to be an excellent strategy for use in developing new nano-hybrid platforms.

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Unbinding of Hyaluronan Accelerates the Enzymatic Activity of Bee Hyaluronidase

Journal of Biological Chemistry ◽

10.1074/jbc.m111.263731 ◽

2011 ◽

Vol 286 (41) ◽

pp. 35699-35707 ◽

Cited By ~ 2

Author(s):

Attila Iliás ◽

Károly Liliom ◽

Brigitte Greiderer-Kleinlercher ◽

Stephan Reitinger ◽

Günter Lepperdinger

Keyword(s):

Experimental Data ◽

Quartz Crystal ◽

Surface Loop ◽

X Ray ◽

Site Model ◽

Substrate Interaction ◽

Close Proximity ◽

Binding Groove ◽

The One ◽

Best Fit

Hyaluronan (HA), a polymeric glycosaminoglycan ubiquitously present in higher animals, is hydrolyzed by hyaluronidases (HAases). Here, we used bee HAase as a model enzyme to study the HA-HAase interaction. Located in close proximity to the active center, a bulky surface loop, which appears to obstruct one end of the substrate binding groove, was found to be functionally involved in HA turnover. To better understand kinetic changes in substrate interaction, binding of high molecular weight HA to catalytically inactive HAase was monitored by means of quartz crystal microbalance technology. Replacement of the delimiting loop by a tetrapeptide interconnection increased the affinity for HA up to 100-fold, with a KD below 1 nm being the highest affinity among HA-binding proteins surveyed so far. The experimental data of HA-HAase interaction were further validated showing best fit to the theoretically proposed sequential two-site model. Besides the one, which had been shown previously in course of x-ray structure determination, a previously unrecognized binding site works in conjunction with an unbinding loop that facilitates liberation of hydrolyzed HA.

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Comparative study of isotherm parameters of lead biosorption by two wastes of olive-oil production

Water Science & Technology ◽

10.2166/wst.2015.153 ◽

2015 ◽

Vol 72 (5) ◽

pp. 711-720 ◽

Cited By ~ 9

Author(s):

G. Blázquez ◽

A. Ronda ◽

M. A. Martín-Lara ◽

A. Pérez ◽

M. Calero

Keyword(s):

Experimental Data ◽

Olive Tree ◽

Langmuir Equation ◽

Equilibrium Isotherm ◽

Chemical Treatments ◽

Olive Stone ◽

Loss Of Mass ◽

Best Fit ◽

Tree Pruning ◽

Effectiveness Coefficient

Batch isotherm studies were carried out on a laboratory scale: (i) to investigate the effectiveness to remove lead of two wastes (olive stone (OS) and olive tree pruning (OTP)), untreated and chemically treated; and (ii) to examine the applicability of various adsorption isotherms to fit the experimental data. Results from tests were analyzed using seven equilibrium isotherm correlations (Langmuir, Freundlich, Dubinin–Radushkevich, Temkin, Redlich–Peterson, Sips, and Toth equations). The sum of the squares of the errors was determined for each isotherm and the Langmuir equation provided the best fit. Chemical treatments increased the biosorption properties of these materials. The maximum biosorption capacities were: 6.33, 49.13, 14.83, and 38.93 mg g−1 for untreated OS, HNO3-OS, H2SO4-OS, and NaOH-OS, respectively, and 26.72, 86.40, 72.78, and 123.80 mg g−1 for untreated OTP, HNO3-OTP, H2SO4-OTP, and NaOH-OTP, respectively. Finally, the loss of mass for each waste (13.9, 14.3, and 36.8% for HNO3-OS, H2SO4-OS, and NaOH-OS and 35.1, 27.5, and 46.7% for HNO3-OTP, H2SO4-OTP, and NaOH-OTP, respectively) was taken into account and an effectiveness coefficient was determined for each adsorbent material.

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A best-fit probability distribution for the estimation of rainfall in northern regions of Pakistan

Open Life Sciences ◽

10.1515/biol-2016-0057 ◽

2016 ◽

Vol 11 (1) ◽

pp. 432-440 ◽

Cited By ~ 10

Author(s):

M. T. Amin ◽

M. Rizwan ◽

A. A. Alazba

Keyword(s):

Probability Distribution ◽

Goodness Of Fit ◽

Probability Distributions ◽

Future Research ◽

Maximum Rainfall ◽

Type Iii ◽

Goodness Of Fit Tests ◽

Pearson Type ◽

Northern Regions ◽

Best Fit

AbstractThis study was designed to find the best-fit probability distribution of annual maximum rainfall based on a twenty-four-hour sample in the northern regions of Pakistan using four probability distributions: normal, log-normal, log-Pearson type-III and Gumbel max. Based on the scores of goodness of fit tests, the normal distribution was found to be the best-fit probability distribution at the Mardan rainfall gauging station. The log-Pearson type-III distribution was found to be the best-fit probability distribution at the rest of the rainfall gauging stations. The maximum values of expected rainfall were calculated using the best-fit probability distributions and can be used by design engineers in future research.

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Mathematical modeling and determination of thermodynamic properties of jabuticaba peel during the drying process

Revista Brasileira de Engenharia Agrícola e Ambiental ◽

10.1590/1807-1929/agriambi.v20n6p576-580 ◽

2016 ◽

Vol 20 (6) ◽

pp. 576-580 ◽

Cited By ~ 8

Author(s):

Cristian F. Costa ◽

Paulo C. Corrêa ◽

Jaime D. B. Vanegas ◽

Fernanda M. Baptestini ◽

Renata C. Campos ◽

...

Keyword(s):

Experimental Data ◽

Thermodynamic Properties ◽

Drying Process ◽

Drying Temperature ◽

Air Temperatures ◽

Nutritional Qualities ◽

Forced Air ◽

Air Circulation ◽

Best Fit

ABSTRACT Jabuticaba is a fruit native of Brazil and, besides containing many nutritional qualities, it also has a good field for use in products such as flour for cakes and biscuits, juice, liqueur, jelly and others. This study aimed to model the drying kinetics and determine the thermodynamic properties of jabuticaba peel at different drying air temperatures. Ripe fruits of jabuticaba (Myrciaria jaboticaba) were collected and pulped manually. Drying was carried out in a forced-air circulation oven with a flow of 5.6 m s-1 at temperatures of 40, 50, 60 and 70 °C. Six mathematical models commonly used to represent the drying process of agricultural products were fitted to the experimental data. The Arrhenius model was used to represent the drying constant as a function of temperature. The Midilli model showed the best fit to the experimental data of drying. The drying constant increased with the increment in drying temperature and promoted an activation energy of 37.29 kJ mol-1. Enthalpy and Gibbs free energy decreased with the increase in drying temperature, while entropy decreased and was negative.

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Drying kinetics of ‘babassu’ mesocarp

Revista Brasileira de Engenharia Agrícola e Ambiental ◽

10.1590/1807-1929/agriambi.v21n10p709-714 ◽

2017 ◽

Vol 21 (10) ◽

pp. 709-714 ◽

Cited By ~ 1

Author(s):

Jhonatas C. Rosa ◽

Andreza P. Mendonça ◽

Angélica dos S. Oliveira ◽

Sylviane B. Ribeiro ◽

Andréia do R. Batista ◽

...

Keyword(s):

Experimental Data ◽

Water Content ◽

Animal Feed ◽

Coefficient Of Determination ◽

Residual Distribution ◽

Solar Dryer ◽

Error Standard Deviation ◽

Forced Air ◽

Final Water Content ◽

Best Fit

ABSTRACT ‘Babassu’ mesocarp flour has been used by the pharmaceutical, human food and animal feed industries. However, there is lack of standardization in the production, as well as absence of information on the management of the product’s quality. Thus, the objective of this study was to dry the ‘babassu’ mesocarp in forced-air oven and solar dryer, adjust different mathematical models to the experimental data, as well as to quantify the levels of proteins and crude fiber of the produced flour. The criteria for the adjustment were the coefficient of determination, magnitude of the mean relative error, standard deviation of estimate and the residual distribution trend. Drying in the shortest time occurred in oven at 60 °C (370 min), leading to water content of 4.62%, while in the solar dryer the final water content was 8.07% in 6 days. The mathematical model Two Terms showed the best fit to the experimental data for oven drying and the Midilli model showed the best fit in solar dryer. There was an increase in protein content with the drying in solar dryer and oven at 40, 50 and 60 °C (1.36, 1.33, 1.15 and 1.37%, respectively) in relation to fresh mesocarp (0.88%). Drying in both oven and solar dryer promoted increase of protein in the flour.

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Mathematical modeling of pequi pulp drying and effective diffusivity determination

Revista Brasileira de Engenharia Agrícola e Ambiental ◽

10.1590/1807-1929/agriambi.v21n7p493-498 ◽

2017 ◽

Vol 21 (7) ◽

pp. 493-498 ◽

Cited By ~ 3

Author(s):

Elisabete P. de Sousa ◽

Rossana M. F. de Figueirêdo ◽

Josivanda P. Gomes ◽

Alexandre J. de M. Queiroz ◽

Deise S. de Castro ◽

...

Keyword(s):

Experimental Data ◽

Effective Diffusivity ◽

Drying Kinetics ◽

Convective Drying ◽

Drying Time ◽

Air Speed ◽

Drying Curves ◽

Increasing Temperature ◽

Kinetics Of ◽

Best Fit

ABSTRACT The aim of this work was to study the drying kinetics of pequi pulp by convective drying at different conditions of temperature (50, 60, 70 and 80 °C) and thickness (0.5, 1.0 and 1.5 cm) at the air speed of 1.0 m s-1, with no addition of adjuvant. The experimental data of pequi pulp drying kinetics were used to plot drying curves and fitted to the models: Midilli, Page, Henderson & Pabis and Newton. Effective diffusivity was calculated using the Fick’s diffusion model for a flat plate. It was found that, with increasing thickness, the drying time increased and, with increasing temperature, the drying time was reduced. The Midilli model showed the best fit to the experimental data of pequi pulp drying at all temperatures and thicknesses, presenting higher coefficients of determination (R2), indicating that this model satisfactorily represents the pequi pulp drying phenomenon. There was a trend of increase in the effective diffusivity with the increase in pulp layer thickness and temperature.

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Modelagem matemática da desidratação osmo-convectiva da palma forrageira (Opuntia fícus-indica Mill) utilizando soluções mistas

Revista Verde de Agroecologia e Desenvolvimento Sustentável ◽

10.18378/rvads.v10i4.3489 ◽

2015 ◽

Vol 10 (4) ◽

pp. 39

Author(s):

E. T. Silva ◽

E. C. O. Silva ◽

R. P. Gusmão ◽

J. D. Lopes ◽

T. A. S. Gusmão

Keyword(s):

Experimental Data ◽

Water Activity ◽

Osmotic Dehydration ◽

Convective Drying ◽

Human Consumption ◽

Cactus Pear ◽

Opuntia Ficus Indica ◽

Mixed Solutions ◽

Cut Resistance ◽

Best Fit

Objetivou-se nesse estudo avaliar a influência de pré-tratamentos osmóticos utilizando secagem convectiva complementar no processo de perda de água, ganho de sólidos e nos parâmetros de qualidade (cor, atividade de água e textura) de cladódios de palma forrageira. O Cladódio foi submetido à desidratação osmótica utilizando soluções mistas contendo 5% de NaCl e concentrações de sacarose de 50 e 60 °Brix, em diferentes proporções palma/solução (1:1, 1:4 e 1:10) a 40°C. Posteriormente foi realizada secagem convectiva a 50 e 60 °C. Foram utilizados, para ajuste aos dados experimentais da secagem, os modelos matemáticos de Page, Henderson & Pabis, Cavancanti Mata, Exponencial de Dois Termos e Midilli. O cladódio de palma in natura e desidratado foi caracterizado quanto aos parâmetros de cor, atividade de água e textura. O aumento da perda de massa foi proporcional ao aumento da proporção cladódio/solução utilizada na desidratação osmótica e o ganho de sólidos foi maior para a concentração de 50 °Brix. O modelo matemático de Midilli foi o que melhor se ajustou aos dados experimentais. Os parâmetros de cor, atividade de água e textura foram modificados pelas condições de desidratação osmótica e de secagem as quais o cladódio de palma foi submetido. O cladódio desidratado a 50 °C apresentou melhor preservação da cor, maior resistência ao corte e menor atividade de água. Mathematical modeling of osmo-convective dehydration of the cactus pear (Opuntia ficus-indica Mill) using mixed solutionsAbstract: The objective of this study was to evaluate the influence of osmotic pre-treatments with complementary convective drying in the water loss process and solids gain of cactus pear cladodes, to obtain palm for human consumption. The cladode was subjected to osmotic dehydration using mixed solutions containing 5% NaCl and sugar concentrations of 50 and 60 °Brix in different proportions palm/solution (1:1, 1:4 and 1:10) at 40 °C. Subsequently convective drying was performed at 50 and 60 °C. Were used to fit to the experimental data of drying, the mathematical models for Page, Henderson & Pabis, Cavancanti Mata, Exponential of Two Terms and Midilli. The spineless cactus in natura and dehydrated was characterized as the parameters: color, water activity and texture. The study noted that the increased of weight mass was proportional to the increased of proportion cladode/solution used in osmotic dehydration and the solids gain was higher for concentration of 50 °Brix. The Midilli mathematical model was the best fit to the experimental data. The parameters of color, water activity and texture were modified by the conditions of osmotic dehydration and drying which spineless cactus cladodes was submitted. The cactus cladode dehydrated at 50 °C presented better preservation of the color, increased cut resistance and lowest water activity.

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Study of Donor Centres in n-InSb due to the Temperature Annealing

Materials Science Forum ◽

10.4028/www.scientific.net/msf.480-481.197 ◽

2005 ◽

Vol 480-481 ◽

pp. 197-200

Author(s):

Y. Sayad ◽

A. Nouiri

Keyword(s):

Experimental Data ◽

Activation Energy ◽

Annealing Time ◽

Annealing Temperature ◽

Theoretical Study ◽

Donor Concentration ◽

Model Based ◽

Proposed Model ◽

Kinetics Of ◽

Best Fit

An increasing of donor centres has been detected in n-InSb when it was submitted to anneal/quench with various annealing temperature (450 °C - 850 °C) and various annealing time (5 - 100 hours). A theoretical study of the kinetics of the conduction conversion of n-InSb at temperature annealing above 250 °C has been made. The present analysis indicates that the donor concentration increases with increasing of annealing time. In order to study this variation and to give a model for donor centres generated, a proposed model based on the simple kinetic is used to fit the variation of donor concentration as a function of annealing time. However, from the best fit of experimental data using the proposed model, the activation energy is determined.

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