scholarly journals Models for estimating leaf area in the ‘Palmer’ mango

2019 ◽  
Vol 13 ◽  
pp. 279
Author(s):  
José Luiz Santos da Silva Junior ◽  
Marcos Sales Rodrigues ◽  
Gabriella Amaral Braga ◽  
Ester Silva Regis
Keyword(s):  
Mathematical Models ◽  
Leaf Area ◽  
Cross Validation ◽  
Leaf Length ◽  
Percentage Error ◽  
Model Quality ◽  
Geometric Models ◽  
Model Quality Assessment ◽  
Imagej Software

Techniques for measuring leaf area are basic for evaluating plant growth in the mango. As such, the aim of this study was to determine the leaf area of the ‘Palmer’ mango using mathematical models proposed by the present study, and compare the results of the proposed models with models available in the literature for other mango cultivars. The mango leaf was simulated as a function of leaf length (L) and width (W) using two distinct geometric models: an ellipse and a rosacea petal. Models found in the literature and determined for other cultivars, were also tested. The values for leaf area were obtained using the ImageJ software and taken at their actual value; these were later compared with the values achieved by the geometric models. The models were tested for quality of prediction through cross-validation. The models proposed in the present study were not superior to the best models found in the literature. The model LA = 3.80 + 0.67 (LW) achieved the best performance, with a mean absolute percentage error (MAPE) of 3.78%. Using only length, the best model was LA = 0.0142C2 + 6.1902C - 49.444, with a MAPE of 4.07%. The use of mathematical models proved to be a suitable option for estimating leaf area in the ‘Palmer’ mango. Moreover, the use of R2 as the only form of model quality assessment can lead to errors in choosing the best model.

scholarly journals A single-model quality assessment method for poor quality protein structure

2020 ◽  
Author(s):  
Jianquan Ouyang ◽  
Ningqiao Huang ◽  
Yunqi Jiang
Keyword(s):  
Protein Structure ◽  
Quality Assessment ◽  
Structure Prediction ◽  
Assessment Method ◽  
Poor Quality ◽  
Single Model ◽  
Model Quality ◽  
Model Quality Assessment ◽  
Quality Assessment Method

Abstract Quality assessment of protein tertiary structure prediction models, in which structures of the best quality are selected from decoys, is a major challenge in protein structure prediction, and is crucial to determine a model’s utility and potential applications. Estimating the quality of a single model predicts the model’s quality based on the single model itself. In general, the Pearson correlation value of the quality assessment method increases in tandem with an increase in the quality of the model pool. However, there is no consensus regarding the best method to select a few good models from the poor quality model pool. In this work, we introduce a novel single-model quality assessment method for poor quality models that uses simple linear combinations of six features. We perform weighted search and linear regression on a large dataset of models from the 12th Critical Assessment of Protein Structure Prediction (CASP12) and benchmark the results on CASP13 models. We demonstrate that our method achieves outstanding performance on poor quality models.

scholarly journals Effects of Potassium Deficiency on Growth of Pakchoi in Cold and Dry Areas

2021 ◽  
Author(s):  
Shi-Heng LI ◽  
Wei-Ming LI ◽  
Ling-Hao BU
Keyword(s):  
Leaf Area ◽  
Root Length ◽  
Growth And Development ◽  
Leaf Length ◽  
Potassium Deficiency ◽  
Leaf Width ◽  
Growth Status ◽  
Dry Areas ◽  
Number Of Leaves

Abstract [Background] To reveal the effect of potassium deficiency on the growth and development of pakchoi in cold and dry areas.[Results] The effect of potassium deficiency on the growth status of P. pakchoi in cold and dry areas was significant. P. pakchoi treated with potassium-free nutrient solution had the best growth, the largest number of leaves, leaf length, leaf width, leaf area, root length and weight; P. pakchoi treated with 100% potassium deficiency had the smallest plant, leaf length, leaf width, leaf area, root length and weight; P. pakchoi treated with potassium deficiency 50% had the middle growth and development status, and the root ratio was the smallest in d 21.[Conclusion] Potassium can effectively promote the growth and development of pakchoi in cold and dry areas, increase its root length, leaf width, leaf area, weight, etc. The quality of the upper part and the underground part of d,21 of pakchoi treated with deficiency is the most different.

scholarly journals A single-model quality assessment method for poor quality protein structure

2020 ◽  
Author(s):  
Jianquan Ouyang ◽  
Ningqiao Huang ◽  
Yunqi Jiang
Keyword(s):  
Protein Structure ◽  
Quality Assessment ◽  
Structure Prediction ◽  
Assessment Method ◽  
Poor Quality ◽  
Single Model ◽  
Model Quality ◽  
Model Quality Assessment ◽  
Quality Assessment Method

Abstract Background: Quality assessment of protein tertiary structure prediction models, in which structures of the best quality are selected from decoys, is a major challenge in protein structure prediction, and is crucial to determine a model’s utility and potential applications. Estimating the quality of a single model predicts the model’s quality based on the single model itself. In general, the Pearson correlation value of the quality assessment method increases in tandem with an increase in the quality of the model pool. However, there is no consensus regarding the best method to select a few good models from the poor quality model pool.Results: We introduce a novel single-model quality assessment method for poor quality models that uses simple linear combinations of six features. We perform weighted search and linear regression on a large dataset of models from the 12th Critical Assessment of Protein Structure Prediction (CASP12) and benchmark the results on CASP13 models. We demonstrate that our method achieves outstanding performance on poor quality models.Conclusions: According to results of poor protein structure assessment based on six features, contact prediction and relying on fewer prediction features can improve selection accuracy.

scholarly journals Developing an Accurate and Fast Non-Destructive Single Leaf Area Model for Loquat (Eriobotrya japonica Lindl) Cultivars

Plants ◽  
2019 ◽  
Vol 8 (7) ◽  
pp. 230 ◽  
Author(s):  
Maurizio Teobaldelli ◽  
Youssef Rouphael ◽  
Giancarlo Fascella ◽  
Valerio Cristofori ◽  
Carlos Mario Rivera ◽  
...  
Keyword(s):  
Leaf Area ◽  
Mean Squared Error ◽  
Early Summer ◽  
Leaf Length ◽  
Quadratic Model ◽  
Eriobotrya Japonica ◽  
Single Leaf ◽  
Leaf Measurement ◽  
Time Required

In this research, seven different models to predict leaf area (LA) of loquat (Eriobotrya japonica Lindl) were tested and evaluated. This species was chosen due to the relevant importance of its fruit as an appreciated early summer product and of its leaves and flower as a source of additional income within the nutraceutical and functional food markets. The analysis (calibration and validation) was made using a large dataset (2190) of leaf width (W), leaf length (L), and single LA collected in ten common loquat cultivars. During the analysis, the results obtained using one- and two-regressor models were also evaluated to assess the need for fast measurements against different levels of accuracy achieved during the final estimate. The analysis permitted to finally select two different models: 1) a model based on a single measurement and quadratic relationship between the single LA and W (R2 = 0.894; root mean squared error [RMSE] = 12.98) and another model 2) based, instead, on two measurements (L and W), and on the linear relationship between single LA and the product of L × W (R2 = 0.980; RMSE = 5.61). Both models were finally validated with an independent dataset (cultivar ‘Tanaka’) confirming the quality of fitting and accuracy already observed during the calibration phase. The analysis permitted to select two different models to be used according to the aims and accuracy required by the analysis. One, based on a single-regressor quadratic model and W (rather than L) as a proxy variable, is capable of obtaining a good quality of fitting of the single LA of loquat cultivars (R2 = 0.894; RMSE = 12.98), whereas, the other, a linear two-regressor (i.e., W and L) model, permitted to achieve the highest prediction (R2 = 0.980; RMSE = 5.61) of the observed variable, but double the time required for leaf measurement.

scholarly journals Influence of Nitrogen Form on the Quality of Dieffenbachia amoena `Tropic Snow'

HortScience ◽  
2005 ◽  
Vol 40 (2) ◽  
pp. 386-390 ◽  
Author(s):  
S. Jiménez ◽  
M.T. Lao
Keyword(s):  
Leaf Area ◽  
Plant Height ◽  
Weight Ratio ◽  
Visual Quality ◽  
Leaf Length ◽  
Nitrogen Form ◽  
Leaf Color ◽  
Area Index ◽  
Number Of Leaves

The plant quality in function of the ratio nitrate:ammonium has been studied. The experiment was carried out in a recicling system in a Buried Solar Greenhouse. Dieffenbachia amoena `Tropic Snow' was cultivated in expanded clay substrate. The parameters considered to evaluate the quality have been plant height, leaf area index (LAI), leaf area ratio (LAR), leaf weight ratio (LWR), biomass, shoot to root ratio, number of buds, number of leaves, leaf length and width, leaf color, variegation, and ornamental visual quality evaluated by a group of experts and consumers. The rehearsed NO3-:NH4+ ratios has been 100:0, 50:50, and 0:100. The amoniacal form improves the following productive parameters: plant height, LAI, biomass, number of leaves, number of buds and color of the leaf, as well as the visual quality as much for experts as for consumers.

MODEL MANAJEMEN MUTU MADRASAH KAJIAN DI MIN & MI MA’RIF PAGERAJI PURWOKERTO

2018 ◽  
Vol 19 (1) ◽  
pp. 74-105
Author(s):  
Rohmat Rohmat
Keyword(s):  
Quality Management ◽  
Quality Management System ◽  
Management Model ◽  
Teacher Competence ◽  
Model Quality ◽  
Community Environment ◽  
The Family ◽  
Quality Management Model ◽  
Community Cooperation

Abstract: The quality of madrasah education needs to get serious attention both from process aspect and its result. The quality of madrasah education is also influenced by the family and community environment. This brings with it the need for a review and mapping of the quality management model of education in Madrasah Ibtidaiyah. The Madrasah Ibtidaiyah of Purwokerto and MI Ma'arif Pageraji Purwokerto were chosen to be the subject of this study with the consideration that the school has a good quality management system. This study aims to find the typology of quality management education in MI that is effective so that it can be replicated. Based on the findings of the data, it can be concluded as follows: (1) Quality planning conducted in MIN and MI Ma’arif pageraji Purwokerto through (a) improvement of teacher competence, through OJT activity (on the job trainning), (b) teacher. (c) Development of natural competence matrix. (d) Parent and community cooperation in establishing some madrasah programs. (2) Quality control system conducted in MIN and MI Ma’arif pageraji Purwokerto done through supervision activities. (3) Quality assurance conducted in MIN and MI Ma’arif pageraji Purwokerto done internally by madrasah and audited through accreditation activities run by the accreditation bodies of madrasah or other institutions externally. Keywords: Management model, quality of madrasah.

UTILIZING COMBINATION OF HERBICIDE COMMAND AND GROWTH STIMULATORS MELAFEN AND EMISTIM C FOR TOBACCO SEEDLING GROWING

2020 ◽  
Keyword(s):  
Toxic Effect ◽  
Leaf Area ◽  
Economic Effect ◽  
Seedling Development ◽  
Root Mass ◽  
Qualitative Properties ◽  
Tobacco Plants ◽  
Prolonged Effect ◽  
Agricultural Plants

Efficiency of combination of soil herbicide Command (CE 0.02 ml/m2) and growth stimulators Melafen and Emistim S for tobacco seedling growing in sheltered ground has been studied. Before studies inhibition properties of herbicide on first stage of tobacco growing were found. For decreasing effect of herbicide ’s depression and increasing growing processes researches during greenhouse and field stages have been carried. It has been found that soaking seeds in solution of growth stimulator Melafen (concentration 0.05 %) and Emistim S (concentration 0.00001 %) during 3 hours in combination with further treatments on basic stages of seedling development (cotyledon and ready for transplanting before pulling out) led not only to decreasing toxic effect of herbicide but also increasing qualitative properties of tobacco plants. Growth stimulators led to increasing length of plants from collar to growing point by 46-62 %, to end of tips - by 20-35 %, above ground plant mass - by 42 - 86 %, root mass - by 32 %. It was also noticed 28 - 36 % increasing outcome of standard seedlings from m2 in time of transplanting. Due to prolonged effect of Melafen and Emistim S seedlings transplanted into field were with increased surviving properties. Later, due to increased growing rate it was noticed increasing leaf area by 9-18 % and productivity - by 16-24 %. Economic effect due to utilizing growth stimulators Melafen and Emistim S during seedling stage reaches 360 and 470 rubles/m2 and during field stage - 66 and 98 th.rubles/ha respectively. Offered elaboration can be utilized for protecting systems of different agricultural plants where utilizing soil herbicides is recommended. Also quality of cured tobacco grown with stimulators had been improved.

scholarly journals A COMPARISON OF STRUCTURED LIGHT SCANNING AND PHOTOGRAMMETRY FOR THE DIGITISATION OF PHYSICAL PROTOTYPES

2021 ◽  
Vol 1 ◽  
pp. 11-20
Author(s):  
Owen Freeman Gebler ◽  
Mark Goudswaard ◽  
Ben Hicks ◽  
David Jones ◽  
Aydin Nassehi ◽  
...  
Keyword(s):  
Early Stage ◽  
Structured Light ◽  
Superior Performance ◽  
Specific Design ◽  
Model Quality ◽  
Stage Design ◽  
Design Changes ◽  
Structured Light Scanning ◽  
Early Stage Design

AbstractPhysical prototyping during early stage design typically represents an iterative process. Commonly, a single prototype will be used throughout the process, with its form being modified as the design evolves. If the form of the prototype is not captured as each iteration occurs understanding how specific design changes impact upon the satisfaction of requirements is challenging, particularly retrospectively.In this paper two different systems for digitising physical artefacts, structured light scanning (SLS) and photogrammetry (PG), are investigated as means for capturing iterations of physical prototypes. First, a series of test artefacts are presented and procedures for operating each system are developed. Next, artefacts are digitised using both SLS and PG and resulting models are compared against a master model of each artefact. Results indicate that both systems are able to reconstruct the majority of each artefact's geometry within 0.1mm of the master, however, overall SLS demonstrated superior performance, both in terms of completion time and model quality. Additionally, the quality of PG models was far more influenced by the effort and expertise of the user compared to SLS.

scholarly journals Feasibility of cardiac output measurements in critically ill patients by medical students

2020 ◽  
Vol 12 (1) ◽  
Author(s):  
Geert Koster ◽  
Thomas Kaufmann ◽  
Bart Hiemstra ◽  
Renske Wiersema ◽  
Madelon E. Vos ◽  
...  
Keyword(s):  
Cardiac Output ◽  
Critical Care ◽  
Medical Students ◽  
Critically Ill ◽  
Critically Ill Patients ◽  
Left Ventricular ◽  
Percentage Error ◽  
Poor Agreement ◽  
Cardiac Output Measurements

Abstract Background Critical care ultrasonography (CCUS) is increasingly applied also in the intensive care unit (ICU) and performed by non-experts, including even medical students. There is limited data on the training efforts necessary for novices to attain images of sufficient quality. There is no data on medical students performing CCUS for the measurement of cardiac output (CO), a hemodynamic variable of importance for daily critical care. Objective The aim of this study was to explore the agreement of cardiac output measurements as well as the quality of images obtained by medical students in critically ill patients compared to the measurements obtained by experts in these images. Methods In a prospective observational cohort study, all acutely admitted adults with an expected ICU stay over 24 h were included. CCUS was performed by students within 24 h of admission. CCUS included the images required to measure the CO, i.e., the left ventricular outflow tract (LVOT) diameter and the velocity time integral (VTI) in the LVOT. Echocardiography experts were involved in the evaluation of the quality of images obtained and the quality of the CO measurements. Results There was an opportunity for a CCUS attempt in 1155 of the 1212 eligible patients (95%) and in 1075 of the 1212 patients (89%) CCUS examination was performed by medical students. In 871 out of 1075 patients (81%) medical students measured CO. Experts measured CO in 783 patients (73%). In 760 patients (71%) CO was measured by both which allowed for comparison; bias of CO was 0.0 L min−1 with limits of agreement of − 2.6 L min−1 to 2.7 L min−1. The percentage error was 50%, reflecting poor agreement of the CO measurement by students compared with the experts CO measurement. Conclusions Medical students seem capable of obtaining sufficient quality CCUS images for CO measurement in the majority of critically ill patients. Measurements of CO by medical students, however, had poor agreement with expert measurements. Experts remain indispensable for reliable CO measurements. Trial registration Clinicaltrials.gov; http://www.clinicaltrials.gov; registration number NCT02912624

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