scholarly journals Combination of Cryptography Algorithm Knapsack and Run Length Enconding (RLE) Compression in Treatment of Text File

2020 ◽  
Vol 1573 ◽  
pp. 012017
Author(s):  
Paska Marto Hasugian ◽  
Pandi Barita Nauli Simangunsong ◽  
Muhammad Iqbal Panjaitan ◽  
Dewi Wahyuni ◽  
Syarifah Fadillah Rezky
Keyword(s):  
Text File ◽  
Run Length

Characterization of Pancreas at Diabetic Patients in CT images using Texture Analysis

2017 ◽  
Vol 7 (7) ◽  
pp. 8
Author(s):  
Mona E. Elbashier ◽  
Suhaib Alameen ◽  
Caroline Edward Ayad ◽  
Mohamed E. M. Gar-Elnabi
Keyword(s):  
Size Distribution ◽  
Texture Analysis ◽  
Classification Accuracy ◽  
Ct Images ◽  
Diabetic Patients ◽  
Gray Level ◽  
Grey Level ◽  
Run Length ◽  
Interactive Data

This study concern to characterize the pancreas areato head, body and tail using Gray Level Run Length Matrix (GLRLM) and extract classification features from CT images. The GLRLM techniques included eleven’s features. To find the gray level distribution in CT images it complements the GLRLM features extracted from CT images with runs of gray level in pixels and estimate the size distribution of thesubpatterns. analyzing the image with Interactive Data Language IDL software to measure the grey level distribution of images. The results show that the Gray Level Run Length Matrix and  features give classification accuracy of pancreashead 89.2%, body 93.6 and the tail classification accuracy 93.5%. The overall classification accuracy of pancreas area 92.0%.These relationships are stored in a Texture Dictionary that can be later used to automatically annotate new CT images with the appropriate pancreas area names.

Computational modeling of open framework silicates: the case of ferrierite reveals intriguing links between mineralogy, material science, and applications

2019 ◽  
Author(s):  
Federica Trudu ◽  
gloria tabacchi ◽  
Ettore Fois
Keyword(s):  
Computational Modeling ◽  
Material Science ◽  
Text File ◽  
Main Text ◽  
Bond Angles ◽  
Open Framework ◽  
Data Files

1) main text file of the paper: "Computational modeling of open framework silicates: probing straight bond angles in ferrierite reveals intriguing links between mineralogy, nanomaterial science and technological applications"<div>by F. Trudu, G. Tabacchi, E. Fois (pdf file)</div><div>2) supporting information (pdf file)</div><div>3) zip folder containing relevant data files in cif format</div><div><br></div><div>Twitter handle of the submitting author:</div><div>@BL76276</div>

Line interpolation algorithm based on diagonal run-length

2009 ◽  
Vol 28 (9) ◽  
pp. 2270-2273
Author(s):  
Xiao-tong YE ◽  
Yun DENG
Keyword(s):  
Interpolation Algorithm ◽  
Run Length

scholarly journals People with amyotrophic lateral sclerosis and their caregivers: what matters most?

2021 ◽  
pp. bmjspcare-2020-002741
Author(s):  
Paola Brunori ◽  
Maria Grazia Celani ◽  
Angelo Alberto Bignamini ◽  
Marzia Carlini ◽  
Rossella Papetti ◽  
...  
Keyword(s):  
Amyotrophic Lateral Sclerosis ◽  
Disease Burden ◽  
Anger Management ◽  
Care Service ◽  
Group Discussion ◽  
Future Research ◽  
Text File ◽  
Medical Issues ◽  
Research Questions ◽  
Lateral Sclerosis

ObjectivesThe aim of this study is to collect the perspectives and values of people affected by amyotrophic lateral sclerosis (ALS) and their carers to offer clinicians, researchers and policymakers aspects which are precious in prioritising future research questions and reshaping care service organisations in a participatory approach.Design and settingCohort study using ALS Umbria, the electronic database in Italy.ParticipantsEleven patients and 33 carers who agreed to participate in the study were divided into six focus groups by ‘status’ (patient or carer) and by four severity levels of ‘burden of disease’.MethodsA semiquantitative analysis was undertaken. Each recorded group discussion was transcribed into text file and independently read by two psychologists and two ALS specialists to blindly identify needs, emotions and medical issues, which are the key semantic meanings expressed. Any disagreement in interpretation was resolved through consultation among authors.ResultsCarers pronounced significantly more words related to patient’s disease burden they cared. 40% of subjects expressed the need for ‘assistance’, regardless of the disease burden. ‘Anger’ alone represented more than 1/4 of all expressed emotions and was more common in patients than in carers (73% vs 36%, p=0.077). The most frequent medical issue expressed by 1/3 of participants was ‘difficulty in communication’.ConclusionThis study has given voice to the expectations of those affected by the burden of ALS. ‘Welfare assistance’, ‘anger management’ and resolution of ‘difficulties in communication’ represent issues that need to be analysed in a common prioritised research agenda with sensible and shared outcome measures to implement patient-centred medicine.

scholarly journals Water Particles Monitoring in the Atacama Desert: SPC Approach Based on Proportional Data

Axioms ◽  
2021 ◽  
Vol 10 (3) ◽  
pp. 154
Author(s):  
Anderson Fonseca ◽  
Paulo Henrique Ferreira ◽  
Diego Carvalho do Nascimento ◽  
Rosemeire Fiaccone ◽  
Christopher Ulloa-Correa ◽  
...  
Keyword(s):  
Control Chart ◽  
Average Run Length ◽  
Atacama Desert ◽  
Real Data ◽  
Interval Data ◽  
Total Quality ◽  
Statistical Process ◽  
Monte Carlo Simulation Study ◽  
Run Length ◽  
Study Results

Statistical monitoring tools are well established in the literature, creating organizational cultures such as Six Sigma or Total Quality Management. Nevertheless, most of this literature is based on the normality assumption, e.g., based on the law of large numbers, and brings limitations towards truncated processes as open questions in this field. This work was motivated by the register of elements related to the water particles monitoring (relative humidity), an important source of moisture for the Copiapó watershed, and the Atacama region of Chile (the Atacama Desert), and presenting high asymmetry for rates and proportions data. This paper proposes a new control chart for interval data about rates and proportions (symbolic interval data) when they are not results of a Bernoulli process. The unit-Lindley distribution has many interesting properties, such as having only one parameter, from which we develop the unit-Lindley chart for both classical and symbolic data. The performance of the proposed control chart is analyzed using the average run length (ARL), median run length (MRL), and standard deviation of the run length (SDRL) metrics calculated through an extensive Monte Carlo simulation study. Results from the real data applications reveal the tool’s potential to be adopted to estimate the control limits in a Statistical Process Control (SPC) framework.

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