scholarly journals Estimation of Blast Severity on Rye and Triticale Spikes by Digital Image Analysis

2013 ◽  
Vol 2013 ◽  
pp. 1-8 ◽  
Author(s):  
João Leodato Nunes Maciel ◽  
Alfredo do Nascimento Junior ◽  
Cristina Boaretto
Keyword(s):  
Image Analysis ◽  
Image Segmentation ◽  
Digital Image Analysis ◽  
Linear Regression Analysis ◽  
Reference Method ◽  
Coefficient Of Determination ◽  
Breeding Programs ◽  
True Value ◽  
Mouse Cursor ◽  
Selection Of

In Brazil, more efficient methods are a necessity for evaluating blast severity on spikes in the breeding programs of rye, triticale, wheat, and barley. The objective of this work was to determine the feasibility of assessing blast severity based on the analysis of digital images of symptomatic rye and triticale spikes. Triticale and rye genotypes were grown to anthesis in pots and were then inoculated with a mixture ofMagnaporthe oryzaeisolates. Blast severity on the spikes was evaluated visually and after that the spikes were detached and photographed. Blast severity was determined using the program ImageJ to analyze the obtained images. Two methods of image analysis were used: selection of symptomatic areas using a mouse cursor (SCU) and selection of symptomatic areas using image segmentation (SIS). The SCU method was considered the standard reference method for determining the true value of blast severity on spikes. An analysis of variance did not determine any difference among the evaluation methods. The coefficient of determination (R2) obtained from a linear regression analysis between the variables SIS and SCU was 0.615. The obtained data indicate that the evaluation of blast severity on spikes based on image segmentation is feasible and reliable.

scholarly journals PERANAN SUASANA KERJA TERHADAP KEINGINAN PINDAH KERJA PADA KARYAWAN PT HASNUR JAYA UTAMA

Jurnal Ecopsy ◽  
2016 ◽  
Vol 1 (2) ◽  
Author(s):  
Maya Irka Anggriani ◽  
Hemy Heryati Anward ◽  
Rooswita Santia Dewi
Keyword(s):  
Job Satisfaction ◽  
Correlation Coefficient ◽  
Random Sampling ◽  
Linear Regression Analysis ◽  
Coefficient Of Determination ◽  
Simple Linear Regression ◽  
Close Relationship ◽  
The Relationship ◽  
Selection Of

Penelitian ini bertujuan untuk mengetahui ada tidaknya peranan suasana kerja terhadap keinginan pindah kerja karyawan. Populasi pada penelitian ini yaitu seluruh karyawan PT. Hasnur Jaya Utama. Jenis pengambilan sampel yang dilakukan pada penelitian ini adalah Purposive Random Sampling yaitu pemilihan sampel secara acak sesuai dengan karakteristik yang ditentukan berdasarkan tujuan penelitian yang berjumlah 60 orang.  Sedangkan metode pengumpulan data dengan menggunakan skala suasana kerja, skala kepuasan kerja dan kuesioner keinginan pindah kerja. Dalam penelitian ini analisis data menggunakan analisis regresi linear sederhana. Hasil analisis peranan suasana kerja terhadap kepuasan kerja, diperoleh koefisien korelasi R sebesar 0,759 artinya hubungan suasana kerja dan kepuasan kerja erat. Ditemukan juga koefisien determinasi (R2) yang menunjukkan peranan suasana kerja terhadap kepuasan kerja sebesar 57,5% dan untuk analisis t observasi (8,882) > t tabel (1,672) menunjukkan  ada peranan suasana kerja terhadap kepuasan kerja. Kemudian, hasil analisis peranan kepuasan kerja terhadap keinginan pindah kerja ditemukan koefisien regresi R (0,680) artinya kepuasan kerja dan keinginan pindah kerja memiliki hubungan yang cukup erat. Selanjutnya, diperoleh juga (R2) yang menunjukkan peranan kepuasan kerja terhadap keinginan pindah kerja sebesar 46,3%  dan   untuk  analisis   t   observasi (-7,069) t tabel (1,672) menunjukkan ada peranan kepuasan kerja terhadap keinginan pindah kerja dengan signifikan negatif. Berdasarkan hasil penelitian tersebut maka dapat ditarik kesimpulan bahwa suasana kerja dan kepuasan kerja pada karyawan perlu diperhatikan oleh perusahaan agar dapat meminimalkan keinginan pindah kerja karyawan. Kata Kunci: Suasana kerja, kepuasan kerja, keinginan pindah kerjaThis study purposed to determine whether there is the influence of the working atmosphere to intention turnover on employees. The population in this study are all employees of PT. Hasnur Jaya Utama. Type of sampling conducted in this study is Purposive Random Sampling is the selection of a random sample according to the characteristics that are determined based on the research goals of 60 people. The methods of data collection by using the scale of the working atmosphere, the scale of job satisfaction and intention turnover questionnaire. In this study analyzes the data using simple linear regression analysis. The results of the analysis of the influence of working atmosphere to job satisfaction, the correlation coefficient R of 0.759 means that the relationship working atmosphere and job satisfaction is quite close. Also found the coefficient of determination (R2) which indicates the role of working conditions on job satisfaction at 57.5% and for the analysis of observation (8.882) > t table (1.672) which indicates means that the influence of the atmosphere to job satisfaction. Then, the results of the analysis of the influence of job satisfaction to intention turnover a correlation coefficient R (0.680) means that job satisfaction and intention turnover to have a close relationship. Furthermore, also obtained (R2 ) which indicates the role of job satisfaction to intention turnover of 46,3% and for the analysis of t observation (-7.069) > t table (1.672) which indicates means that the influence of job satisfaction to intention turnover with a significant negative . Based on these results it can be concluded that the working atmosphere and job satisfaction in employees need to be considered by the company in order to minimize intention turnover ob the employees. Keywords: The working atmosphere, job satisfaction, intention turnover.

scholarly journals Validity of bioelectrical impedance to estimate fat-free mass in boys with Duchenne muscular dystrophy

PLoS ONE ◽  
2020 ◽  
Vol 15 (11) ◽  
pp. e0241722
Author(s):  
Evellyn C. Grilo ◽  
Thais A. Cunha ◽  
Ádila Danielly S. Costa ◽  
Bárbara G. M. Araújo ◽  
Márcia Marília G. D. Lopes ◽  
...  
Keyword(s):  
Duchenne Muscular Dystrophy ◽  
Muscular Dystrophy ◽  
Pearson Correlation ◽  
Linear Regression Analysis ◽  
Reference Method ◽  
Bioelectrical Impedance ◽  
Fat Free Mass ◽  
Coefficient Of Determination ◽  
Predictive Equations ◽  
Significant Bias

The evaluation of fat-free mass (FFM) in patients with Duchenne muscular dystrophy (DMD) is useful to investigate disease progression and therapeutic efficacy. This study aimed to validate the Bioelectrical impedance (BIA) method compared with the dual-energy X-ray absorptiometry (DXA) for estimating the %FFM in boys with DMD. This is a cross-sectional study performed with children and adolescents diagnosed with DMD. Resistance and reactance were measured with a BIA analyzer, from which eight predictive equations estimated the %FFM. The %FFM was also determined by DXA and its used as a reference method. Pearson correlation test, coefficient of determination, the root-mean-square error, the interclass correlation coefficient, and linear regression analysis were performed between %FFM values obtained by BIA and DXA. The agreement between these values was verified with the Bland-Altman plot analysis. Forty-six boys aged from 5 to 20 years were enrolled in the study. All the equations showed a correlation between the %FFM estimated by BIA and determined by DXA (p < 0.05). The Bland-Altman method indicated that two equations have a significant bias (p < 0.05) and six equations showed no significant bias of %FFM (p > 0.05). However, one of them has high variation and wide limits of agreement. Five of eight %FFM predictive equations tested in DMD were accurate when compared with the DXA. It can be concluded that BIA is a validity method to evaluate patients with DMD.

Effect of microsphere size on apparent intramural distribution of intestinal blood flow

1981 ◽  
Vol 241 (3) ◽  
pp. H408-H414 ◽  
Author(s):  
L. C. Maxwell ◽  
A. P. Shepherd ◽  
G. L. Riedel ◽  
M. D. Morris
Keyword(s):  
Blood Flow ◽  
Image Analysis ◽  
Digital Image Analysis ◽  
Constant Pressure ◽  
Venous Blood ◽  
Intestinal Wall ◽  
Size Dependent ◽  
Mean Diameter ◽  
Microsphere Size ◽  
Selection Of

Microspheres were used in earlier studies to determine the distribution of blood flow within the intestinal wall, but the selection of microsphere size was not systematic. In one study, a 5-micrometers difference in mean diameter markedly altered the submucosal vs. mucosal distribution of microspheres. Therefore, we examined the effect of size on microsphere distribution within the gut wall. Loops of canine small bowel were perfused at constant pressure, and microspheres were injected in the following order: 9 +/- 1, 15 +/- 1, and 26 +/- 2 micrometers. Gut segments were separated into mucosal, submucosal, and muscularis tissues. The microspheres were recovered from digested tissues and venous blood. The number and diameter of spheres in an aliquot of resuspended spheres were determined by digital image analysis. The ratio of mucosal to submucosal accumulation varied 60-fold for sphere diameters from 8 to 20 micrometers. The muscularis' share did not vary systematically with sphere size. Approximately 20% of spheres less than 11 micrometers reached venous blood, whereas few (less than 1%) of larger sizes did. We conclude: 1) sphere distribution within the gut wall is size dependent, 2) correction for microsphere shunting will be difficult, because the route taken by untrapped spheres is unknown, and 3) fractionating intramural flow among the three layers is not practical with commercially available spheres. However, under control conditions 15-micrometers spheres seem to distribute independently of size between muscularis and a lumped mucosal-submucosal compartment.

Application of Genetic Algorithm to Image Segmentation

2014 ◽  
Vol 685 ◽  
pp. 642-645
Author(s):  
Hai Yan Liu
Keyword(s):  
Genetic Algorithm ◽  
Image Processing ◽  
Image Analysis ◽  
Image Segmentation ◽  
Related Area ◽  
Selection Of

Image segmentation is very important in image analysis that needs to separate the related area for the general target distinguishing and analyzing an image, and it can make further use of the target, such as characteristic pick-up and measure on the basis of image processing disposal. In this dissertation, image segmentation based on genetic algorithm will be described. The selection of threshold and the process about image segmentation based on genetic algorithm are described. Finally, image segmentation based on genetic algorithm is used on a picture by Matlab, the result can be accepted. Therefore, it is significant to make analysis on image segmentation based on genetic algorithm.

scholarly journals An Algorithm for Determining the Location of a Segment on a Segmented Image

2021 ◽  
pp. 98-105
Author(s):  
Otar Tavdishvili ◽  
◽  
Zurab Alimbarashvili ◽  
Keyword(s):  
Image Analysis ◽  
Image Segmentation ◽  
Digital Image ◽  
Digital Image Analysis ◽  
Image Plane ◽  
Segmentation Algorithm ◽  
Connected Components ◽  
Original Algorithm ◽  
Segmented Image ◽  
Number Of Segments

The task of digital image analysis after image segmentation requires the ability to operate independently with each extracted segment (object), determine the total number of segments, and define the location of the segments on the image plane. This requires knowledge of the coordinates of each extracted segment on the image. This involves defining the coordinates of the pixels that make up the segment. For this purpose, an original algorithm was developed, which during the process of implementation of early developed non-parametric segmentation algorithm extracts the connected components (segments) on the image and determines the location of the each segment on the image based on the values of indices 𝑖 and 𝑗 (coordinates) of its pixels.

scholarly journals Comparison of Semi-Quantitative Scoring and Artificial Intelligence Aided Digital Image Analysis of Chromogenic Immunohistochemistry

Biomolecules ◽  
2021 ◽  
Vol 12 (1) ◽  
pp. 19
Author(s):  
János Bencze ◽  
Máté Szarka ◽  
Balázs Kóti ◽  
Woosung Seo ◽  
Tibor G. Hortobágyi ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Image Analysis ◽  
Digital Image ◽  
Digital Image Analysis ◽  
Statistical Significance ◽  
Reference Method ◽  
Tissue Sections ◽  
Quantitative Scoring ◽  
Analysis Platform ◽  
Experimental Group

Semi-quantitative scoring is a method that is widely used to estimate the quantity of proteins on chromogen-labelled immunohistochemical (IHC) tissue sections. However, it suffers from several disadvantages, including its lack of objectivity and the fact that it is a time-consuming process. Our aim was to test a recently established artificial intelligence (AI)-aided digital image analysis platform, Pathronus, and to compare it to conventional scoring by five observers on chromogenic IHC-stained slides belonging to three experimental groups. Because Pathronus operates on grayscale 0-255 values, we transformed the data to a seven-point scale for use by pathologists and scientists. The accuracy of these methods was evaluated by comparing statistical significance among groups with quantitative fluorescent IHC reference data on subsequent tissue sections. The pairwise inter-rater reliability of the scoring and converted Pathronus data varied from poor to moderate with Cohen’s kappa, and overall agreement was poor within every experimental group using Fleiss’ kappa. Only the original and converted that were obtained from Pathronus original were able to reproduce the statistical significance among the groups that were determined by the reference method. In this study, we present an AI-aided software that can identify cells of interest, differentiate among organelles, protein specific chromogenic labelling, and nuclear counterstaining after an initial training period, providing a feasible and more accurate alternative to semi-quantitative scoring.

scholarly journals Superpixel Image Segmentation of the Tumoral Microenvironment in Colorectal Cancer: Frontiers Beyond the Microscope

2021 ◽  
Author(s):  
Sean Hacking ◽  
Dongling Wu ◽  
Claudine Alexis ◽  
Mansoor Nasim
Keyword(s):  
Colorectal Cancer ◽  
Clinical Trials ◽  
Image Analysis ◽  
Quality Assurance ◽  
Image Segmentation ◽  
Digital Image Analysis ◽  
Tumor Stage ◽  
Gi Tract ◽  
Common Malignancy ◽  
Whole Slide Images

Abstract Colorectal cancer (CRC) is the most common malignancy of the gastrointestinal (GI) tract and accounts for 9% of all cancers. The stroma and the tumoral microenvironment represent brave new frontiers for patients with colorectal cancer. Here we demonstrate novel superpixel image segmentation (SIS) techniques for whole slide images (WSI) to unravel this biology. Findings of significance include the association of low proportionated stromal area (PSA), high immature stromal percentage (ISP) and high myxoid stromal ratio (MSR) with worse prognostic outcomes in our CRC patients. Overall, stromal markers outperformed all others at predicting clinical outcomes. In particular, MSR may be able to prognosticate patients independent of tumor stage and may be the most optimal way to effectively prognosticate CRC patients which circumvents the need for more extensive deep learning (DL) based computational profiling. Approaches demonstrated here can be performed by a trained pathologist and very easily recorded during synoptic cancer reporting with appropriate quality assurance. Future well-designed, robust clinical trials will have the ultimate say in determining whether digital image analysis and superpixel image segmentation can better tailor the need for adjuvant therapy in patients with colorectal cancer.

Morphometric analysis of cellular interactions with the endothelium during the development of arterial lesions using Scanning Electron Microscopy and digital image analysis

1987 ◽  
Vol 45 ◽  
pp. 918-919
Author(s):  
M.E. Rosenfeld ◽  
C. Karboski ◽  
M.F. Prescott ◽  
P. Goodwin ◽  
R. Ross
Keyword(s):  
Electron Microscopy ◽  
Image Analysis ◽  
Quantitative Data ◽  
Digital Image Analysis ◽  
Lower Cost ◽  
Matched Control ◽  
Digital Analysis ◽  
Cellular Interactions ◽  
Arterial Lesions ◽  
Scanning Electron

Previous research documenting the chronology of the cellular interactions that occur on or below the surface of the endothelium during the initiation and progression of arterial lesions, primarily consisted of descriptive studies. The recent development of lower cost image analysis hardware and software has facilitated the collection of high resolution quantitative data from microscopic images. In this report we present preliminary quantitative data on the sequence of cellular interactions that occur on the endothelium during the initiation of atherosclerosis or vasculitis utilizing digital analysis of images obtained directly from the scanning electron microscope. Segments of both atherosclerotic and normal arteries were obtained from either diet-induced or endogenously (WHHL) hypercholesterolemic rabbits following 1-4 months duration of hypercholesterolemia and age matched control rabbits. Vasculitis was induced in rats following placement of an endotoxin soaked thread adjacent to the adventitial surface of arteries.

Digital Image Analysis of the Larynx

2000 ◽  
Vol 10 (2) ◽  
pp. 7-9
Author(s):  
Yaser Natour ◽  
Christine Sapienza ◽  
Mark Schmalz ◽  
Savita Collins
Keyword(s):  
Image Analysis ◽  
Digital Image ◽  
Digital Image Analysis

IMPACT OF AIS AND STRESSED OUT AN EMPLOYEES TO THEIR PERFORMANCE AT PT EFRATA RETAILINDO

2019 ◽  
Vol 5 (1) ◽  
pp. 22-30
Author(s):  
Wiwit Ayu Retno Sari ◽  
Suhendro Suhendro ◽  
R. Riana Dewi
Keyword(s):  
Information Systems ◽  
Work Stress ◽  
Quantitative Research ◽  
Linear Regression Analysis ◽  
Accounting Information ◽  
Multiple Linear Regression Analysis ◽  
Primary Data ◽  
Coefficient Of Determination ◽  
Accounting Information System ◽  
Accounting Information Systems

This research aims to test the influence of accounting information system and work stress on performance of employees of PT Efrata Retailindo. The type of research used in this research is quantitative research. The source of the data in the research is primary data. The population in this study are all employees of PT Efrata Retailindo totalling 47 people. Sampling techniques in the study using a purposive sample. While the data collection method used is to use the questionnaire to all employees of PT Efrata Retailindo. Data analysis techniques using multiple linear regression analysis. Based on the results of the study it can be concluded that work stress had no effect on performance of employees of PT Efrata Retailindo, while information systems accounting effect on the performance of the employees of PT Efrata Retailindo. The value of the coefficient of determination (R2) amounting to 0.106. This indicates that variansi on a variable performance practice undertaken by the company PT Efrata Retailindo of 10.6% can be explained by work stress variables and accounting information systems, while the remaining 89.4% explained by other factors outside the researched.

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