scholarly journals Where Does the Alignment Score Distribution Shape Come from?

2010 ◽  
Vol 6 ◽  
pp. EBO.S5875 ◽  
Author(s):  
Philippe Ortet ◽  
Olivier Bastien
Keyword(s):  
Alignment Score ◽  
Score Distribution ◽  
Distribution Shape

Semi-supervised Multi-task Network For Image Aesthetic Assessment

2020 ◽  
Vol 2020 (8) ◽  
pp. 188-1-188-7
Author(s):  
Xiaoyu Xiang ◽  
Yang Cheng ◽  
Jianhang Chen ◽  
Qian Lin ◽  
Jan Allebach
Keyword(s):  
Neural Network ◽  
Semantic Content ◽  
Training Data ◽  
Score Distribution ◽  
Generalization Ability ◽  
Subjective Preference ◽  
Ranking Tasks

Image aesthetic assessment has always been regarded as a challenging task because of the variability of subjective preference. Besides, the assessment of a photo is also related to its style, semantic content, etc. Conventionally, the estimations of aesthetic score and style for an image are treated as separate problems. In this paper, we explore the inter-relatedness between the aesthetics and image style, and design a neural network that can jointly categorize image by styles and give an aesthetic score distribution. To this end, we propose a multi-task network (MTNet) with an aesthetic column serving as a score predictor and a style column serving as a style classifier. The angular-softmax loss is applied in training primary style classifiers to maximize the margin among classes in single-label training data; the semi-supervised method is applied to improve the network’s generalization ability iteratively. We combine the regression loss and classification loss in training aesthetic score. Experiments on the AVA dataset show the superiority of our network in both image attributes classification and aesthetic ranking tasks.

STRUCTURAL RELIABILITY ANALYSIS BASED ON P-BOXES

2020 ◽  
Vol 92 (6) ◽  
pp. 51-58
Author(s):  
S.A. SOLOVYEV ◽  
Keyword(s):  
Probability Distribution ◽  
Reliability Analysis ◽  
Structural Reliability ◽  
Epistemic Uncertainty ◽  
Random Variable ◽  
Strength Criterion ◽  
Structural Elements ◽  
Structural Element ◽  
Limit States ◽  
Distribution Shape

The article describes a method for reliability (probability of non-failure) analysis of structural elements based on p-boxes. An algorithm for constructing two p-blocks is shown. First p-box is used in the absence of information about the probability distribution shape of a random variable. Second p-box is used for a certain probability distribution function but with inaccurate (interval) function parameters. The algorithm for reliability analysis is presented on a numerical example of the reliability analysis for a flexural wooden beam by wood strength criterion. The result of the reliability analysis is an interval of the non-failure probability boundaries. Recommendations are given for narrowing the reliability boundaries which can reduce epistemic uncertainty. On the basis of the proposed approach, particular methods for reliability analysis for any structural elements can be developed. Design equations are given for a comprehensive assessment of the structural element reliability as a system taking into account all the criteria of limit states.

W-Peakedness: A Simulation based Study

2015 ◽  
Vol 1 (1) ◽  
Author(s):  
Suboohi Safdar ◽  
Dr. Ejaz Ahmed
Keyword(s):  
Probability Distributions ◽  
Extensive Study ◽  
Descriptive Statistics ◽  
Target Point ◽  
Density Functions ◽  
Central Value ◽  
Distribution Shape ◽  
Simulation Based ◽  
Different Shapes ◽  
Kurtosis Coefficient

Kurtosis is a commonly used descriptive statistics. Kurtosis “Coefficient of excess” is critically reviewed in different aspects and is called as, measuring the fatness of the tails of the density functions, concentration towards the central value, scattering away from the target point or degree of peakedness of probability distribution. Kurtosis is referred to the shape of the distribution but many distributions having same kurtosis value may have different shapes while Kurtosis may exist when peak of a distribution is not in existence. Through extensive study of kurtosis on several distributions, Wu (2002) introduced a new measure called “W-Peakedness” that offers a fine capture of distribution shape to provide an intuitive measure of peakedness of the distribution which is inversely proportional to the standard deviation of the distribution. In this paper the work is extended for different others continuous probability distributions. Empirical results through simulation illustrate the proposed method to evaluate kurtosis by W-peakedness

scholarly journals OP0257-PARE USING PATIENT HEALTH LITERACY PROFILES TO IDENTIFY SOLUTIONS TO CHALLENGES FACED IN RHEUMATOLOGY CARE

2020 ◽  
Vol 79 (Suppl 1) ◽  
pp. 162.2-162
Author(s):  
M. Bakker ◽  
P. Putrik ◽  
J. Rademakers ◽  
M. Van de Laar ◽  
H. Vonkeman ◽  
...  
Keyword(s):  
Health Literacy ◽  
The Netherlands ◽  
Health System ◽  
Demographic Data ◽  
Family Doctor ◽  
List Type ◽  
Research Support ◽  
Score Distribution ◽  
Patient Health ◽  
Literacy Profiles

Background:The prevalence of limited health literacy (i.e. cognitive and social resources of individuals to access, understand and apply health information to promote and maintain good health) in the Netherlands is estimated to be over 36% [1]. Access to and outcomes of rheumatological care may be compromised by limited patient health literacy, yet little is known about how to address this, thus action is required. As influencing individual patients’ health literacy in the rheumatology context is often unrealistic, it is paramount for the health system to be tailored to the health literacy needs of its patients. The OPtimising HEalth LIteracy and Access (Ophelia) process offers a method to inform system change [2].Objectives:Following the Ophelia approach:a. Identify health literacy profiles reflecting strengths and weaknesses of outpatients with RA, SpA and gout.b. Use the health literacy profiles to facilitate discussions on challenges for patients and professionals in rheumatological care and identify possible solutions the health system could offer to address these challenges.Methods:Patients with RA, SpA and gout attending outpatient clinics in three centres in the Netherlands completed the Health Literacy Questionnaire (HLQ) and questions on socio-demographic and health-related characteristics. Hierarchical cluster analysis using Ward’s method identified clusters based on the nine HLQ domains. Three researchers jointly examined 24 cluster solutions for meaningfulness by interpreting HLQ domain scores and patient characteristics. Meaningful clusters were translated into health literacy profiles using HLQ patterns and demographic data. A patient research partner confirmed the identified profiles. Patient vignettes were designed by combining cluster analyses results with qualitative patient interviews. The vignettes were used in two two-hour co-design workshops with rheumatologists and nurses to discuss their perspective on health literacy-related challenges for patients and professionals, and generate ideas on how to address these challenges.Results:In total, 895 patients participated: 49% female, mean age 61 years (±13.0), 25% lived alone, 18% had a migrant background, 6.6% did not speak Dutch at home and 51% had low levels of education. Figure 1 shows a heat map of identified health literacy profiles, displaying the score distribution per profile across nine health literacy domains. Figure 2 shows an excerpt of a patient vignette, describing challenges for a patient with profile number 9. The workshops were attended by 7 and 14 nurses and rheumatologists. Proposed solutions included health literacy communication training for professionals, developing and improving (visual) patient information materials, peer support for patients through patient associations or group consultations, a clear referral system for patients who need additional guidance by a nurse, social worker, lifestyle coach, pharmacist or family doctor, and more time with rheumatology nurses for target populations. Moreover, several system adaptations to the clinic, such as a central desk for all patient appointments, were proposed.Conclusion:This study identified several distinct health literacy profiles of patients with rheumatic conditions. Engaging with health professionals in co-design workshops led to numerous bottom-up ideas to improve care. Next steps include co-design workshops with patients, followed by prioritising and testing proposed interventions.References:[1]Heijmans M. et al. Health Literacy in the Netherlands. Utrecht: Nivel 2018[2]Batterham R. et al. BMC Public Health 2014, 14:694Disclosure of Interests:Mark Bakker: None declared, Polina Putrik: None declared, Jany Rademakers Speakers bureau: In March 2017, Prof. Dr. Rademakers was invited to speak about health literacy at the “Heuvellanddagen” Conference, hosted by Janssen-Cilag., Mart van de Laar Consultant of: Sanofi Genzyme, Speakers bureau: Sanofi Genzyme, Harald Vonkeman: None declared, Marc R Kok Grant/research support from: BMS and Novartis, Consultant of: Novartis and Galapagos, Hanneke Voorneveld: None declared, Sofia Ramiro Grant/research support from: MSD, Consultant of: Abbvie, Lilly, Novartis, Sanofi Genzyme, Speakers bureau: Lilly, MSD, Novartis, Maarten de Wit Grant/research support from: Dr. de Wit reports personal fees from Ely Lilly, 2019, personal fees from Celgene, 2019, personal fees from Pfizer, 2019, personal fees from Janssen-Cilag, 2017, outside the submitted work., Consultant of: Dr. de Wit reports personal fees from Ely Lilly, 2019, personal fees from Celgene, 2019, personal fees from Pfizer, 2019, personal fees from Janssen-Cilag, 2017, outside the submitted work., Speakers bureau: Dr. de Wit reports personal fees from Ely Lilly, 2019, personal fees from Celgene, 2019, personal fees from Pfizer, 2019, personal fees from Janssen-Cilag, 2017, outside the submitted work., Richard Osborne Consultant of: Prof. Osborne is a paid consultant for pharma in the field of influenza and related infectious diseases., Roy Batterham: None declared, Rachelle Buchbinder: None declared, Annelies Boonen Grant/research support from: AbbVie, Consultant of: Galapagos, Lilly (all paid to the department)

scholarly journals The Relationship between Clinic Visit Accompanied by Family and Dementia Severity in Taiwan

2021 ◽  
Vol 18 (4) ◽  
pp. 1792
Author(s):  
Chih-Yen Chang ◽  
Shou-Jen Lan ◽  
Chiao-Lee Chu ◽  
Ching-Sung Ho
Keyword(s):  
Educational Level ◽  
Binary Logistic Regression ◽  
Cross Sectional Study ◽  
Clinic Visit ◽  
Clinical Dementia Rating ◽  
Score Distribution ◽  
Chi Square ◽  
Cross Sectional ◽  
Central Taiwan ◽  
Severity Of Dementia

Introduction: This study analyzes the severity of dementia status with clinical dementia rating (CDR) score distribution among patients according to various family functional and sociodemographic issues. Methods: A cross-sectional study was performed in a regional hospital in Central Taiwan. The sample consisted of 318 patients who came to the clinic from May 2018 to April 2019, and who were diagnosed by the physicians with CDR scores ≧ 0.5. The Chi-Square test and binary logistic regression analyses were performed for inferential statistical analysis. Results: The mean age of the sample was 78.7 ± 8.51 years, and 61.6% of the samples’ CDR scores were equal or less than 1.0. Patients visiting the clinic were accompanied by spouses (21.7%), sons or daughters-in-law (40.6%), daughters (23.6%). Of the sample, 142 (44.3%) patients live with sons. Patients with a lower educational level had higher CDR scores. Compared to the patients who went to the clinic by themselves, the higher OR values of CDR scores ≧ 2 are found in patients who were accompanied by other relatives (OR = 18.871, 95% C.I. = 3.117–114.237, p = 0.001), or spouse (OR = 10.783, 95% C.I. = 1.996–58.245, p = 0.006). Conclusion: The family member who accompanied the patient to a clinic visit and the patient’s educational level are both significant issues relating to the severity of dementia.

scholarly journals EFFECTS OF POROSITY ON ULTRASONIC CHARACTERISTIC PARAMETERS AND MECHANICAL PROPERTIES OF GLASS FIBER REINFORCED COMPOSITES

2012 ◽  
Vol 06 ◽  
pp. 646-651 ◽  
Author(s):  
Wen Ma ◽  
Fushun Liu
Keyword(s):  
Mechanical Properties ◽  
Ultrasonic Attenuation ◽  
Ultrasonic Inspection ◽  
Fiber Reinforced Composites ◽  
Metallographic Analysis ◽  
Void Content ◽  
Reinforced Composites ◽  
Fiber Reinforced ◽  
Characteristic Parameters ◽  
Distribution Shape

Voids are inevitable in the fabrication of fiber reinforced composites and have a detrimental impact on mechanical properties of composites. Different void contents were acquired by applying different vacuum bag pressures. Ultrasonic inspection and ablation density method were adopted to measure the ultrasonic characteristic parameters and average porosity, the characterization of voids' distribution, shape and size were carried out through metallographic analysis. Effects of void content on the tensile, flexural and interlaminar shear properties and the ultrasonic characteristic parameters were discussed. The results showed that, as vacuum bag pressure went from -50kPa to -98kPa, the voids content decreased from 4.36 to 0.34, the ultrasonic attenuation coefficient decreased, but the mechanical strengths all increased.

Image based portable wear debris analysis tool

2015 ◽  
Vol 67 (4) ◽  
pp. 389-398 ◽  
Author(s):  
Muhammad Ali Khan ◽  
Ahmed Farooq Cheema ◽  
Sohaib Zia Khan ◽  
Shafiq-ur-Rehman Qureshi
Keyword(s):  
Real Time ◽  
Wear Debris ◽  
Machine Component ◽  
Analysis Tool ◽  
Content Type ◽  
Real Time Analysis ◽  
Distribution Shape ◽  
Basic Features ◽  
Health Diagnosis ◽  
Wear Debris Analysis

Purpose – The purpose of this paper is to show the development of an image processing-based portable equipment for an automatic wear debris analysis. It can analyze both the qualitative and quantitative features of machine wear debris: size, quantity, size distribution, shape, surface texture and material composition via color. Design/methodology/approach – It comprises hardware and software components which can take debris in near real-time from a machine oil sump and process it for features diagnosis. This processing provides the information of the basic features on the user screen which can further be used for machine component health diagnosis. Findings – The developed system has the capacity to replace the existing off-line methods due to its cost effectiveness and simplicity in operation. The system is able to analyze debris basic quantitative and qualitative features greater than 50 micron and less than 300 micron. Originality/value – Wear debris basic features analysis tool is developed and discussed. The portable and near real-time analysis offered by the discussed work can be more technically effective as compared to the existing off-line and online techniques.

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