A Study on Risk Pattern of Antique Collection

2020 ◽  
Author(s):  
Guest Editor Huang Lei
Keyword(s):  
Risk Pattern

scholarly journals Association of Alcohol Intake and Fracture Risk in Elderly Varied by Affected Bones: A Nationwide Longitudinal Study

2020 ◽  
Vol 17 (10) ◽  
pp. 1013-1020
Author(s):  
Sheng-Min Wang ◽  
Kyung-Do Han ◽  
Nak-Young Kim ◽  
Yoo Hyun Um ◽  
Dong Woo Kang ◽  
...  
Keyword(s):  
Fracture Risk ◽  
Alcohol Intake ◽  
Screening Program ◽  
Population Based ◽  
Elderly Subjects ◽  
Bone Lesions ◽  
Time To Event ◽  
Moderate Drinking ◽  
Risk Pattern ◽  
Total Fracture

Objective Previous studies investigating association of alcohol intake and fracture risk in elderly yielded conflicting results. We first examined the association between alcohol intake and total fracture risk in elderly subjects and further analyzed whether the association varied by fracture locations.Methods This is a nationwide population-based cohort study which included all people aged 66 (n=1,431,539) receiving the National Screening Program during 2009–2014. Time-to-event were defined as duration from study recruitment, the day they received health screening, to the occurrence of fracture.Results Total fracture was significantly lower in mild drinkers [adjusted hazard ratio (aHR)=0.952; 95% confidence interval (95% CI) =0.931–0.973] and higher in heavy drinkers (aHR=1.246; 95% CI=1.201–1.294) than non-drinkers. Risk pattern of alcohol consumption and fracture differed according to affected bones. Similar J-shaped trends were observed for vertebra fractures, but risk of limb fracture showed a linear relationship with alcohol intake. For hip fracture, risk decrement was more pronounced in mild and moderate drinkers, and significant increment was noted only in very severe drinkers [≥60 g/day; (aHR)=1.446; 1.162–1.801].Conclusion Light to moderate drinking generally lowered risk of fractures, but association between alcohol and fracture risk varied depending on the affected bone lesions.

scholarly journals Arrhythmic gut microbiome signatures for risk profiling of Type-2 Diabetes

2019 ◽  
Author(s):  
Sandra Reitmeier ◽  
Silke Kießling ◽  
Thomas Clavel ◽  
Markus List ◽  
Eduardo L. Almeida ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
Gut Microbiome ◽  
Prediction Models ◽  
Area Under The Curve ◽  
Factors Affecting ◽  
Risk Profiling ◽  
Initial Sampling ◽  
Risk Pattern

SummaryTo combat the epidemic increase in Type-2-Diabetes (T2D), risk factors need to be identified. Diet, lifestyle and the gut microbiome are among the most important factors affecting metabolic health. We demonstrate in 1,976 subjects of a prospective population cohort that specific gut microbiota members show diurnal oscillations in their relative abundance and we identified 13 taxa with disrupted rhythmicity in T2D. Prediction models based on this signature classified T2D with an area under the curve of 73%. BMI as microbiota-independent risk marker further improved diagnostic classification of T2D. The validity of this arrhythmic risk signature to predict T2D was confirmed in 699 KORA subjects five years after initial sampling. Shotgun metagenomic analysis linked 26 pathways associated with xenobiotic, amino acid, fatty acid, and taurine metabolism to the diurnal oscillation of gut bacteria. In summary, we determined a cohort-specific risk pattern of arrhythmic taxa which significantly contributes to the classification and prediction of T2D, highlighting the importance of circadian rhythmicity of the microbiome in targeting metabolic human diseases.

Individual Prognosis of Diabetes Long-term Risks: A CBR Approach

2001 ◽  
Vol 40 (01) ◽  
pp. 46-51 ◽  
Author(s):  
A. Palaudàries ◽  
E. Plaza ◽  
E. Armengol
Keyword(s):  
Artificial Intelligence ◽  
Diabetic Complication ◽  
Diabetic Patients ◽  
Case Based Reasoning ◽  
Artificial Intelligence Technique ◽  
Past Experiences ◽  
Risk Pattern ◽  
Case Based ◽  
Intelligence Technique

AbstractWe present DIRAS, an application to support physicians in determining the risk of complications for individual diabetic patients. The risk pattern of each diabetic patient is obtained using a Case-based Reasoning method called LID. Case-based Reasoning is an Artificial Intelligence technique based on solving new situations according to past experiences. For each patient, the LID method determines the risk of each diabetic complication according to the risk of already diagnosed patients. In addition, LID builds a description that can be viewed as an explanation of the obtained risk.

scholarly journals Flood Risk Pattern Recognition Using Chemometric Techniques Approach in Golok River, Kelantan

2018 ◽  
Vol 7 (3.14) ◽  
pp. 75
Author(s):  
Wan Nur Amyliyana Wan Faizurie Zaidee ◽  
Ahmad Shakir Mohd Saudi ◽  
Mohd Khairul Amri Kamarudin ◽  
Mohd Ekhwan Toriman ◽  
Hafizan Juahir ◽  
...  
Keyword(s):  
Pattern Recognition ◽  
Water Level ◽  
Flood Risk ◽  
Stream Flow ◽  
Monsoon Season ◽  
Factor Loading ◽  
Suspended Solid ◽  
P Value ◽  
Statistical Process ◽  
Risk Pattern

This study was implemented to evaluate the flood risk pattern recognition in Golok River, Kelantan. Based on Spearman correlation test, it showed that water level and suspended solid was very strong and significant (p < 0.0001). There was also a weak correlation of coefficient of stream flow and rainfall with the changes of water level as the p-value close to 1. Suspended solid has strong corresponded in changing the rate of water level, as it described the rate of surface run-off that flowed into the water body. However, the risk of flood in study area is irrelevant to the monsoon season. Principle Component Analysis (PCA), the most sensitive parameters that contribute to the flood occurrence were identified with variability R2 value of 0.812 and 0.764. Expansion and development by human activities contribute to the incline of stream flow and suspended solid in Golok River. Based on Statistical Process Control (SPC), water level of all parameters exceeded the Upper Control Limit (UCL), considered as high risk and vulnerable for flood and it is mostly due to man-made activities. It was not deniable that monsoon season played role in contributing flood occurrence as parameters of rainfall and water level have moderately positive factor loading.  

Study on the Risk Pattern of Non-Point Source Pollution Using GIS Technology in the Dianchi Lake Watershed

2011 ◽  
Vol 356-360 ◽  
pp. 771-776
Author(s):  
Cheng Wu ◽  
Guo Chun Deng ◽  
Yan Li ◽  
Zhi Ying Li ◽  
Shu Hua Yang
Keyword(s):  
High Risk ◽  
Point Source ◽  
Evaluation System ◽  
Pollutant Removal ◽  
Assessment System ◽  
Dianchi Lake ◽  
Lake Basin ◽  
Point Source Pollution ◽  
Risk Pattern ◽  
Non Point Source Pollution

A rapid quantitative risk evaluation system of non-point source pollution (NPSP), based on comprehensive consideration of various factors such as topographic features, land use construction, annual mean precipitation, soil erosion characteristics and pollutant removal cost, was constructed using an Spatial Analysis Module of GIS on watershed scale. We investigated the risk pattern of NPSP in the Dianchi Lake Watershed using the rapid risk assessment system. The results indicated that NPSP risk pattern showed the arc or normal distribution trend in the Dianchi Lake Basin, namely the medium risk area of NPSP is the largest (about 1311 km2). Moreover, the spatial difference of high risk NPSP pattern is remarkable: the high risk region for NPSP was primarily in the 10 km range of the southern and eastern parts and the 5 km range of western part around the Dianchi Lake.

scholarly journals Effects of sickness absence on disability pension risk: Finnish register study of two native groups

2019 ◽  
Vol 29 (Supplement_4) ◽  
Author(s):  
K Reini ◽  
J Klein ◽  
J Saarela
Keyword(s):  
Sickness Absence ◽  
Work Ability ◽  
Disability Pension ◽  
Medical Certificate ◽  
Language Groups ◽  
Random Samples ◽  
The Individual ◽  
First Time ◽  
Risk Pattern

Abstract Background Sickness absence and disability pension have a close connection and both describe the health of working-aged populations. The aim of this paper was to study if Swedish and Finnish speakers differ in the risk of disability pension after first-time sickness absence. This may reveal new aspects how to support health and work ability promotion activities. Methods The longitudinal register data used come from Statistics Finland. They consist of random samples of 5 % of all Finnish speakers and 20 % of all Swedish speakers, observed throughout the period 1989-2010. The analyses concerned non-retired individuals aged 16-60 years who were under risk of first-time sickness absence that extended 10 days. Discrete-time hazard models were estimated to both language groups to evaluate how first-time sickness absence, time since absence, length of absence, and various socio-economic control variables affected the disability pension risk. Results The disability pension risk was extremely high immediately after the sickness absence receipt and remained elevated thereafter approximately 20 times higher as compared to non-recipients. A strong interrelation between first-time sickness absence and the risk of subsequent disability pension was found for both language groups and the risk was persistent in the very long term. The risk pattern looked similar to both Swedish and Finnish speakers and we did not observe any differences between women and men. Conclusions Paid sickness absence is illustrative of strong health selection and a notable risk for reduced work ability even in the more distant future. The currently implemented policies in Finland, which require statements about rehabilitation plans soon after individuals have entered a sickness spell, can be considered beneficial for both the individual and society. Comparison of the language groups shows that the disability pension process after sickness absence is operating similarly to both groups. Key messages Sickness absence requiring medical certificate is an indicator of possible long-term work disability. Timing of rehabilitation process during the sickness absence is critical.

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