scholarly journals The response of prion genic variation to selection for scrapie resistance in Hungarian indigenous sheep breeds

2018 ◽  
Vol 66 (4) ◽  
pp. 562-572
Author(s):  
András Gáspárdy ◽  
Viktoria Holly ◽  
Petra Zenke ◽  
Ákos Maróti-Agóts ◽  
László Sáfár ◽  
...  
Keyword(s):  
Risk Category ◽  
Large Sample Size ◽  
Eradication Programme ◽  
Sheep Breeds ◽  
Indigenous Sheep ◽  
Novel Approach ◽  
Genic Variation ◽  
Selection For ◽  
Risk Categories

The authors studied the present status of Hungarian indigenous sheep breeds based on the genetic background of scrapie resistance. The aim of this investigation was to estimate the relative frequency of prion haplotypes, genotypes and risk categories, as well as to reveal the efficiency of the scrapie eradication programme achieved over the last decade. A novel approach in the characterisation of prion by using its genic variation was also implemented. The authors established that the proportion of deleterious sites (%) can be a useful indicator of the eradication programme. Based on a large sample size, it was confirmed that the scrapie resistance of the Cikta breed is low, and the classification of this breed according to risk category has not improved. However, the frequent genotype ARQ and risk category 3 can also be considered characteristic of the breed. The careful use of these genotypes is permitted and will contribute to the maintenance of breed diversity. The response of prion genic variation to selection for scrapie resistance in the other breeds (Tsigai, Milking Tsigai, White Racka, Black Racka and Gyimes Racka) was definitely successful.

Methodology for assigning objects of protection to a certain risk category in the field of fire safety

2020 ◽  
pp. 26-35
Author(s):  
Денис Валерьевич Зобков ◽  
Александр Алексеевич Порошин ◽  
Андрей Александрович Кондашов ◽  
Евгений Васильевич Бобринев ◽  
Елена Юрьевна Удавцова
Keyword(s):  
Fire Safety ◽  
Economic Activity ◽  
Fire Hazard ◽  
Fire Risk ◽  
Federal State ◽  
Risk Category ◽  
Negative Consequences ◽  
Fire Hazards ◽  
Risk Categories

Проанализирован международный опыт реформирования проверок соблюдения требований пожарной безопасности и внедрения риск-ориентированного подхода. Разработана модель отнесения объектов защиты к категориям риска в зависимости от вероятного причинения вреда, который рассчитывается исходя из количества погибших и травмированных при пожарах людей. Сформулированы критерии отнесения объектов защиты к категориям риска. Выполнен расчет категорий риска для групп объектов, однородных по группам экономической деятельности и классам функциональной пожарной опасности. Проведено сравнение с существующей классификацией объектов защиты по категориям риска. The international experience of reforming of fire safety compliance checks and implementing a risk-based approach is considered. There are presented methodological approaches to calculating the risk of causing harm (damage) in buildings (structures) as a result of fire for the purpose of assignment of buildings and structures according to risk categories as well as justification of the frequency of scheduled inspections at these facilities. There is calculated the probability of fire occurrence for a group of objects of protection that are homogeneous by type of economic activity and functional fire hazard classes in order to assign objects of protection to certain risk categories. The social damage expressed in the death and injury of people as a result of fire is also calculated in order to assign objects of protection to certain risk categories. Classification of objects of protection according to the risk categories is performed using the indicator of the severity of potential negative consequences of fires. This indicator characterizes the degree of excess of the expected risk of negative consequences of fires for the corresponding group of objects of protection in relation to the value of the permissible risk of negative consequences of fire. The permissible risk of negative consequences of fires is calculated on the basis of statistical data, taking into account the value of the individual fire risk of exposure of critical values of fire hazards on person in buildings and structures. The criteria for assigning groups of objects of protection to the appropriate risk categories are formulated on the basis of formation of distribution of numerical values of the severity of potential negative consequences of fires. There are carried out the assessment of the severity of potential negative consequences of fires for objects of protection that are homogeneous by type of economic activity and functional fire hazard classes, and also the risk categories of the corresponding groups of objects are determined. The proposed classification of objects of protection according to risk categories is compared with the existing classification. The obtained results of calculations showed that scheduled inspections of objects of protection by the Federal state supervision bodies, depending on the assigned risk category and with corresponding frequency, have significant role in improving the level of fire safety of objects. The decrease in the intensity of scheduled inspections, at the same time, may lead to a corresponding decrease in the level of fire protection of objects.

scholarly journals The Influence of Tornado Activity, Impact, Memory, and Sentiment on Tornado Perception Accuracy among College Students

Atmosphere ◽  
2019 ◽  
Vol 10 (12) ◽  
pp. 732
Author(s):  
Jason C. Senkbeil ◽  
Kelsey N. Ellis ◽  
Jacob R. Reed
Keyword(s):  
College Students ◽  
High Risk ◽  
Classification Scheme ◽  
Risk Category ◽  
Eastern Usa ◽  
Storm Prediction ◽  
The Difference ◽  
Manual Classification ◽  
Risk Categories

A survey consisting of open-ended and closed responses was administered at three universities in the eastern USA. The home counties of survey participants represented climatological tornado risks spanning from rarely impacted to frequently impacted. The first objective of this research was to classify climatological tornado risk for each county so that analyses of tornado perception accuracy could be evaluated. Perception accuracy was defined as the difference between what each participant perceived minus what actually happened. A manual classification scheme was created that uses the Storm Prediction Center’s Convective Outlook framework as county climatological risk categories. Participants from high-risk counties statistically significantly overestimated the numbers of violent tornadoes compared to participants from every risk category but moderate. Furthermore, participants from high-risk counties had significantly greater tornado impacts, thus validating the classification of high-risk. Participants from high, moderate, and slight-risk counties significantly overestimated the number of strong tornadoes compared to participants from enhanced-risk counties. There appeared to be no relationships between tornado memory and tornado sentiment with tornado perception accuracy. Possible explanations for the overestimation of the numbers of violent tornadoes in high-risk counties are discussed.

Exploring Societal Risk Classification of the Posts of Tianya Club

2014 ◽  
Vol 5 (1) ◽  
pp. 36-48 ◽  
Author(s):  
Jindong Chen ◽  
Xijin Tang
Keyword(s):  
Statistical Analysis ◽  
Support Vector ◽  
Similarity Analysis ◽  
Risk Category ◽  
Training Set ◽  
Societal Risk ◽  
Multi Class Classification ◽  
Risk Categories ◽  
Societal Risk Classification

To identify the societal risk category of the posts of Tianya Club, several studies are carried out toward the posts of Tianya Club. With 2-month manually risk labeled new posts published during December of 2011 to January of 2012, statistical analysis of posts is conducted at first. Later, similarity analysis of posts from one risk category, different risk categories and published on different days are implemented. Finally, multi-class classification of posts using support vector machine (SVM) with different training set is tested. The statistical analysis and similarity analysis reveals the difficulties in multi-class classification of the posts of Tianya Club. The multi-class predictive results indicate that SVM could be applied to multi-class classification of posts, but still need further exploitation.

Model for assigning security objects to a specific risk category in the field of fire safety

2020 ◽  
Vol 90 ◽  
pp. 19-31
Author(s):  
D. V. Zobkov ◽  
◽  
A. A. Poroshin ◽  
A. A. Kondashov ◽  
◽  
...  
Keyword(s):  
Adverse Effects ◽  
Fire Safety ◽  
Economic Activity ◽  
Fire Hazard ◽  
Risk Category ◽  
Negative Consequences ◽  
Acceptable Risk ◽  
Individual Object ◽  
Safety Requirements ◽  
Risk Categories

Introduction. A mathematical model is presented for assigning protection objects to certain risk categories in the field of fire safety. The model is based on the concepts of the probability of adverse effects of fires causing harm (damage) of various extent and severity to the life or health of citizens, and the acceptable risk of harm (damage) from fires. Goals and objectives. The purpose of the study is to develop the procedure for assigning protection objects to a certain category of risk of harm (damage) based on estimates of the probability of fires with the corresponding severity consequences, to determine the acceptable level of risk of harm (damage) due to the fires, to calculate and develop numerical values of criteria for assigning objects of protection to the appropriate risk categories. Methods. The boundaries of the intervals corresponding to certain risk categories are determined by dividing the logarithmic scale of severity of adverse effects of fires into equal segments. Classification methods are used to assign objects of protection to a specific risk category. Results and discussion. Based on the level of severity of potential negative consequences of a fire, risk categories were determined for groups of protection objects that are homogeneous by type of economic activity and by functional fire hazard classes. The risk category for each individual object of protection is proposed to be determined using the so-called index of "identification of a controlled person" within a group of objects that are homogeneous by type of economic activity and class of functional fire hazard. Depending on the risk category, the periodicity of planned control and supervision measures in relation to the specific object of protection under consideration is determined, taking into account its socio-economic characteristics and the state of compliance with fire safety requirements by the controlled person. Conclusions. To develop criteria for classifying protection objects that are homogeneous in terms of economic activity and functional fire hazard classes, the probability of negative consequences of fires, that are causing harm (damage) of various extent and severity to the life or health of citizens, and the acceptable risk of causing harm (damage) as a result of fires, is used. The risk category for each individual object of protection is determined taking into account socio-economic characteristics of the object that affect the level of ensuring its fire safety, as well as the criteriaof integrity of the subordinate person that characterize the probability of non-compliance with mandatory fire safety requirements at the object of protection. Calculations are made and numerical values of criteria for assigning protection objects that are homogeneous in terms of economic activity and functional fire hazard classes to a certain category of risk are proposed. Key words: object of protection, probability of fire, acceptable level of risk, risk category, dangerous factor of fire, death and injury of people.

Comparison of two recent ceramide-based coronary risk prediction scores: CERT and CERT-2

2020 ◽  
Vol 41 (Supplement_2) ◽  
Author(s):  
A Leiherer ◽  
A Muendlein ◽  
C.H Saely ◽  
R Laaksonen ◽  
M Laaperi ◽  
...  
Keyword(s):  
Cardiovascular Mortality ◽  
Coronary Event ◽  
Cardiovascular Death ◽  
Survival Models ◽  
Risk Category ◽  
Net Reclassification Improvement ◽  
Event Risk ◽  
Risk Predictor ◽  
Risk Categories

Abstract   The Coronary Event Risk Test (CERT) is a validated cardiovascular risk predictor that uses circulating ceramide concentrations to allocate patients into one of four risk categories. This test has recently been updated (CERT-2), now additionally including phosphatidylcholine concentrations. The purpose of this study was to investigate the power of CERT and CERT-2 to predict cardiovascular mortality in patients with cardiovascular disease (CVD). We investigated a cohort of 999 patients with established CVD. Overall, comparing survival curves (figure) for over 12 years of follow up and the predictive power of survival models using net reclassification improvement (NRI), CERT-2 was the best predictor of cardiovascular mortality, surpassing CERT (NRI=0.456; p=0.01) and also the 2019 ESC-SCORE (NRI=0.163; p=0.04). Patients in the highest risk category of CERT as compared to the lowest category had a HR of 3.63 [2.09–6.30] for cardiovascular death; for CERT-2 the corresponding HR was 6.02 [2.47–14.64]. Among patients with T2DM (n=322), the HR for cardiovascular death was 3.00 [1.44–6.23] using CERT and 7.06 [1.64–30.50] using CERT-2; the corresponding HRs among non-diabetic subjects were 2.99 [1.20–7.46] and 3.43 [1.03–11.43], respectively. We conclude that both, CERT and CERT-2 scores are powerful predictors of cardiovascular mortality in CVD patients, especially in those patients with T2D. Performance is even higher with CERT-2. Funding Acknowledgement Type of funding source: None

Using class-based feature selection for the classification of hyperspectral data

2011 ◽  
Vol 32 (15) ◽  
pp. 4311-4326 ◽  
Author(s):  
Yasser Maghsoudi ◽  
Mohammad Javad Valadan Zoej ◽  
Michael Collins
Keyword(s):  
Feature Selection ◽  
Hyperspectral Data ◽  
Selection For

scholarly journals Phenotypic homogeneity in childhood epilepsies evolves in gene-specific patterns across 3251 patient-years of clinical data

2021 ◽  
Author(s):  
David Lewis-Smith ◽  
Shiva Ganesan ◽  
Peter D. Galer ◽  
Katherine L. Helbig ◽  
Sarah E. McKeown ◽  
...  
Keyword(s):  
Clinical Data ◽  
Similarity Analysis ◽  
Genetic Studies ◽  
Human Phenotype ◽  
Phenotypic Similarity ◽  
Complex Phenotypes ◽  
Cognitive Framework ◽  
Novel Approach ◽  
Genetic Epilepsies

AbstractWhile genetic studies of epilepsies can be performed in thousands of individuals, phenotyping remains a manual, non-scalable task. A particular challenge is capturing the evolution of complex phenotypes with age. Here, we present a novel approach, applying phenotypic similarity analysis to a total of 3251 patient-years of longitudinal electronic medical record data from a previously reported cohort of 658 individuals with genetic epilepsies. After mapping clinical data to the Human Phenotype Ontology, we determined the phenotypic similarity of individuals sharing each genetic etiology within each 3-month age interval from birth up to a maximum age of 25 years. 140 of 600 (23%) of all 27 genes and 3-month age intervals with sufficient data for calculation of phenotypic similarity were significantly higher than expect by chance. 11 of 27 genetic etiologies had significant overall phenotypic similarity trajectories. These do not simply reflect strong statistical associations with single phenotypic features but appear to emerge from complex clinical constellations of features that may not be strongly associated individually. As an attempt to reconstruct the cognitive framework of syndrome recognition in clinical practice, longitudinal phenotypic similarity analysis extends the traditional phenotyping approach by utilizing data from electronic medical records at a scale that is far beyond the capabilities of manual phenotyping. Delineation of how the phenotypic homogeneity of genetic epilepsies varies with age could improve the phenotypic classification of these disorders, the accuracy of prognostic counseling, and by providing historical control data, the design and interpretation of precision clinical trials in rare diseases.

scholarly journals An improved framework for brain tumor analysis using MRI based on YOLOv2 and convolutional neural network

2021 ◽  
Author(s):  
Muhammad Irfan Sharif ◽  
Jian Ping Li ◽  
Javeria Amin ◽  
Abida Sharif
Keyword(s):  
Brain Tumor ◽  
Tumor Detection ◽  
Entropy Method ◽  
Feature Extraction And Selection ◽  
Tumor Region ◽  
Selection For ◽  
Magnetic Resonance Imaging Mri ◽  
The Brain ◽  
Complicated Task

AbstractBrain tumor is a group of anomalous cells. The brain is enclosed in a more rigid skull. The abnormal cell grows and initiates a tumor. Detection of tumor is a complicated task due to irregular tumor shape. The proposed technique contains four phases, which are lesion enhancement, feature extraction and selection for classification, localization, and segmentation. The magnetic resonance imaging (MRI) images are noisy due to certain factors, such as image acquisition, and fluctuation in magnetic field coil. Therefore, a homomorphic wavelet filer is used for noise reduction. Later, extracted features from inceptionv3 pre-trained model and informative features are selected using a non-dominated sorted genetic algorithm (NSGA). The optimized features are forwarded for classification after which tumor slices are passed to YOLOv2-inceptionv3 model designed for the localization of tumor region such that features are extracted from depth-concatenation (mixed-4) layer of inceptionv3 model and supplied to YOLOv2. The localized images are passed toMcCulloch'sKapur entropy method to segment actual tumor region. Finally, the proposed technique is validated on three benchmark databases BRATS 2018, BRATS 2019, and BRATS 2020 for tumor detection. The proposed method achieved greater than 0.90 prediction scores in localization, segmentation and classification of brain lesions. Moreover, classification and segmentation outcomes are superior as compared to existing methods.

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