Anuran interorbital distance variation:the role of ecological and behavioral factors

Eye position varies significantly among taxonomic levels,and this variation is often shaped by ecological and behavioral factors.Eye position is often positively associated with interorbital distance where species with broad visualfields possess a large distance between the left and right eye.Selective pressures underlying the evolution of the eye position are especially studied in birds and mammals.However,selective pressures underlying the evo-lution of anuran eye position which can be indicated by interorbital distance keep unknown.Here,we investigated the effects of ecological(e.g.habitat type,light availability)and behavioral factors(e.g.activity pattern,foraging mobility,and defensive strategy)on variations in interorbital distance among 260 anuran species in China.Our results showed that variations of the interorbital distance can be significantly predicted by the activity pattern.Noc-turnal species had larger interorbital distance than both nocturnal and diurnal species.We also found that foraging mobility and defensive strategy markedly affected variation of interorbital distance.Species having slower foraging mobility and possessing poison glands had larger interorbital distance than species having faster foraging mobility and possessing non-position glands.Light availability tended to be associated with variation of interorbital distance,indicating that species living in weak light tended to possess larger interorbital distance.However,variations of the interorbital space were not associated with habitat type in anurans.Ourfindings suggest that anuran behaviors play key roles in shaping visualfields and eye position,thus affecting the evolution of interorbital distance.

Socio-Demographic Factors Associated with Obesity among Adolescents in Secondary School in Onitsha, South East Nigeria

Background: The prevalence of obesity among adolescent has been on the increase worldwide. This is probably a result of increase in the sedentary life style and the increasing shift to western diet. Obesity in children and adolescents has adverse consequences. These include increase in the rate of Diabetes Mellitus, hypertension, dyslipidemia, cardiovascular diseases, etc with resultant increase in premature deaths. Objectives: To determine the socio-demographic and behavioral factors associated with overweight and obesity in apparently healthy secondary school adolescents. Methods: This was a cross-sectional study of secondary school adolescents aged 10 - 19 years randomly selected from two public schools and three private schools. The weight and heights of study subjects were measured using standard equipment. Body mass index (BMI) was appropriately calculated and the WHO growth reference standard for age and gender, specific percentile for BMI was used to define overweight 85th to 97th and obese (97th percentile and above). Results: Data were initially collected from 1250 participants, but 52 were excluded due to improperly completed questionnaires. Thus, a total of 1198 students were ultimately included in the study, giving a response rate of 95.8%. These included 621 females (51.8%) and 577 males (48.2%) aged 10 - 19 years giving a F:M ratio of 1:0.9. The mean age of the students was 15.07 ± 1.96 years overall, 15.13 ± 2.08 years for males and 15.03 ± 1.83 years for females. There was no statistically significant difference between male and female in the distribution of age groups (p = 0.12). The mean BMI was 21.51 ± 3.57 kg/m2 for females and 20.22 ± 3.16 kg/m2 for males. The BMI was significantly higher in females in all age groups (p < 0.001) except those aged 10 - p = 0.13). The prevalence rates of overweight and obesity were higher in females than males (17.7% vs 10.7%, 5.6% vs 4.5% respectively;p ≤ 12 yrs;p = 0.04). The frequent consumption of sugar based beverages (p p p = 0.03) were significantly associated with both overweight and obesity (p p p < 0.001) were also significantly associated with obesity. Conclusion: Sociodemographic factors such as gender, socioeconomic status and behavioral patterns were major contributors to obesity. Behavioral interventions including regulating the intake of sugar based beverages and reducing the time spent on sedentary activities could be useful strategies in reducing the high prevalence of overweight and obesity among adolescents.

Association between Selenium in Soil and Diabetes in Chinese Residents Aged 35–74 Years:Results from the 2010 National Survey of Chronic Diseases and Behavioral Risk Factors Surveillance

Objective To explore the association between soil selenium levels and the risk of diabetes in Chinese adults aged 35–74 years.Methods Data for this study were derived from the China Chronic Diseases and Behavioral Risk Factors Surveillance 2010 survey.Selenium concentrations in soil were obtained from the Atlas of Soil Environmental Background Values in China.A two-level binary logistic regression model was used to determine the association between soil selenium concentrations and the risk of diabetes,with participants nested within districts/counties.Results A total of 69,332 participants aged 35–74 years,from 158 districts/counties were included in the analysis.Concentrations of selenium in soil varied greatly across the 158 districts/counties,with a median concentration of 0.219 mg/kg(IQR:0.185–0.248).The results showed that both Quartile 1(0.119–0.185 mg/kg)and Quartile 4(0.249–0.344 mg/kg)groups were positively associated with diabetes compared to a soil selenium concentration of 0.186–0.219 mg/kg(Quartile 2),crude odds ratios(ORs)(95%CI)were 1.227(1.003–1.502)and 1.280(1.048–1.563).The P values were 0.045 and 0.013,for Quartile 1 and Quartile 4 groups,respectively.After adjusting for all confounding factors of interest,the Quartile 1 group became non-significant,and the Quartile 4 group had an adjusted OR(95%CI)of 1.203(1.018–1.421)relative to the reference group(Quartile 2),the P values was 0.030.No significant results were seen for the Quartile 3 group(0.220–0.248 mg/kg)compared to the reference group.Conclusion Excessive selenium concentrations in soil could increase the risk of diabetes among Chinese adults aged 35–74 years.

Drinking Behavior and Associated Factors among Middle School Students in Shanghai,China

The purpose of our study was to assess drinking status in middle school students and to understand the associated factors. The adjusted drinking rates were 50.9%, 39.8%, and 15.1% for lifetime, past-year, and current drinking, respectively.

Dietary Behaviors and Influencing Factors among Rural Left-behind Children Aged below 7 Years in China

Left-behind children comprise a special population inChinese rural areas. According to the 2007 China Census,the number ofleft-behind children aged≤14 years was estimated at 58 million which suggested that these childrencon stituted a

Diabetes Mellitus Type 2 Prevalence, Risk Factors and Complications in the Region of Kardzhali, Bulgaria

The present study was conducted within the CINDI program and covers 1,600 individuals, divided into four age groups. The aim of this study is to investigate the key biomedical and lifestyle factors for the development of type 2 diabetes as well as the cardiovascular diabetes complications in the population aged 25-64 from Kardzhali region, Bulgaria. The results of the study show the existence of behavioral and biological risk factors of health, as well as family history in the studied individuals who suffer from diabetes. The connection between diabetes and certain cardiovascular diseases such as ischemic heart disease, myocardial infarction and cardiovascular disease is confirmed. This requires the development and implementation of intervention activities among the population of Kardzhali, aimed at reducing the level of diabetes risk factors, early identification of risk groups and timely treatment of the diseased.

Driving Behavior Shaping Model in Road Traffic System

In order to give a new way for modeling driving behavior, identifying road traffic accident causation and solving a variety of road traffic safety problems such as driving errors prevention and driving behavior analysis, a new driving behavior shaping model is proposed, which could be used to assess the degree of effect of driving error upon road traffic safety. Driver behavior shaping model based on driving reliability and safety analysis could be used to identify the road traffic accident causation, to supply data for driver's behavior training, to evaluate driving procedures, to human factor design of road traffic system.

Seismic performance and global ductility of RC frames rehabilitated with retrofi tted joints by CFRP laminates

This paper presents a new FRP retrofi tting scheme to strengthen local beam-column joints in reinforced concrete(RC) frames.The new retrofi tting scheme was proposed following a preliminary study of four different existing retrofi tting schemes.A numerical simulation was conducted to evaluate the effectiveness of FRP-strengthened reinforced concrete frames by bridging behavior of local joints to the whole structure.Local confi nement effects due to varying retrofi tting schemes in the joints were simulated in the frame model.The seismic behavior factor was used to evaluate the seismic performance of the strengthened RC frames.The results demonstrated that the new proposed retrofi tting scheme was robust and promising,and fi nite element analysis appropriately captured the strength and global ductility of the frame due to upgrading of the local joints.

Probabilistic fragility analysis:A tool for assessing design rules of RC buildings

In this work, fragility analysis is performed to assess two groups of reinforced concrete structures. The first group of structures is composed of buildings that implement three common design practices; namely, fully infilled, weak ground story and short columns. The three design practices are applied during the design process of a reinforced concrete building. The structures of the second group vary according to the value of the behavioral factors used to define the seismic forces as specified in design procedures. Most seismic design codes belong to the class of prescriptive procedures where if certain constraints are fulfilled, the structure is considered safe. Prescriptive design procedures express the ability of the structure to absorb energy through inelastic deformation using the behavior factor. The basic objective of this work is to assess both groups of structures with reference to the limit-state probability of exceedance. Thus, four limit state fragility curves are developed on the basis of nonlinear static analysis for both groups of structures. Moreover, the 95% confidence intervals of the fragility curves are also calculated, taking into account two types of random variables that influence structural capacity and seismic demand.

Recognition of suspicious behavior using case-based reasoning

A novel method case-based reasoning was proposed for suspicious behavior recognition. The method is composed of three departs: human behavior decomposition, human behavior case representation and case-based reasoning. The new approach was proposed to decompose behavior into sub-behaviors that are easier to recognize using a saliency-based visual attention model. New representation of behavior was introduced, in which the sub-behavior and the associated time characteristic of sub-behavior were used to represent behavior case. In the process of case-based reasoning, apart from considering the similarity of basic sub-behaviors,order factor was proposed to measure the similarity of a time order among the sub-behaviors and span factor was used to measure the similarity of duration time of each sub-behavior, which makes the similarity calculations more rational and comprehensive.Experimental results show the effectiveness of the proposed method in comparison with other related works and can run in real-time for the recognition of suspicious behaviors.

Estimation of the behavior factor of existing RC-MRF buildings

In recent years, several research groups have studied a new generation of analysis methods for seismic response assessment of existing buildings. Nevertheless, many important developments are still needed in order to define more reliable and effective assessment procedures. Moreover, regarding existing buildings, it should be highlighted that due to the low knowledge level, the linear elastic analysis is the only analysis method allowed. The same codes（such as NTC2008, EC8） consider the linear dynamic analysis with behavior factor as the reference method for the evaluation of seismic demand. This type of analysis is based on a linear-elastic structural model subject to a design spectrum, obtained by reducing the elastic spectrum through a behavior factor. The behavior factor（reduction factor or q factor in some codes） is used to reduce the elastic spectrum ordinate or the forces obtained from a linear analysis in order to take into account the non-linear structural capacities. The behavior factors should be defined based on several parameters that influence the seismic nonlinear capacity, such as mechanical materials characteristics, structural system, irregularity and design procedures. In practical applications, there is still an evident lack of detailed rules and accurate behavior factor values adequate for existing buildings. In this work, some investigations of the seismic capacity of the main existing RC-MRF building types have been carried out. In order to make a correct evaluation of the seismic force demand, actual behavior factor values coherent with force based seismic safety assessment procedure have been proposed and compared with the values reported in the Italian seismic code, NTC08.

Constructing Statistical Intervals for Small Area Estimates Based on Generalized Linear Mixed Model in Health Surveys

Generalized Linear Mixed Model (GLMM) has been widely used in small area estimation for health indicators. Bayesian estimation is usually used to construct statistical intervals, however, its computational intensity is a big challenge for large complex surveys. Frequentist approaches, such as bootstrapping, and Monte Carlo (MC) simulation, are also applied but not evaluated in terms of the interval magnitude, width, and the computational time consumed. The 2013 Florida Behavioral Risk Factor Surveillance System data was used as a case study. County-level estimated prevalence of three health-related outcomes was obtained through a GLMM;and their 95% confidence intervals (CIs) were generated from bootstrapping and MC simulation. The intervals were compared to 95% credential intervals through a hierarchial Bayesian model. The results showed that 95% CIs for county-level estimates of each outcome by using MC simulation were similar to the 95% credible intervals generated by Bayesian estimation and were the most computationally efficient. It could be a viable option for constructing statistical intervals for small area estimation in public health practice.

Clinical Significance of REM Sleep Behavior Disorders and Other Non-motor Symptoms of Parkinsonism

Rapid eye movement sleep behavior disorder （RBD） is one of the most common non-motor symptoms of parkinsonism, and it may serve as a prodromal marker of neurodegenerative disease. The mechanism underlying RBD is unclear. Several prospective studies have reported that specific non-motor symptoms predict a conversion risk of developing a neurodegenerative disease, including olfactory dysfunction, abnormal color vision, autonomic dysfunction, excessive daytime sleepiness, depression, and cognitive impairment. Parkinson＇s disease （PD） with RBD exhibits clinical heterogeneity with respect to motor and non-motor symptoms compared with PD without RBD. In this review, we describe the main clinical and pathogenic features of RBD, focusing on its association with other non-motor symptoms of parkinsonism.

Sedentary lifestyle among adults in Jordan,2007

Objective:Sedentary lifestyle is a major risk factor for physical and mental problems,such as cardiovascular,musculoskeletal diseases,and psychological stress.About 60% of the world’s population is not sufficiently physically active in leisure time or during work and social activities.This study aimed to determine the prevalence of inactive Jordanian adults and describe their demo-graphic and behavioral characteristics.Methods:The study used data from the behavioral risk factors surveillance survey conducted in Jordan in 2007.The sample size was 3654.Respondents who were physically inactive for more than 240 min daily(sleep time not included)were considered to have a sedentary lifestyle.Data were analyzed with the program SPSS.Results:The prevalence of a sedentary lifestyle was 82.8%(2965 respondents),with a mean sedentary time of 587 min(95%confidence interval 581-594 min).Among the physically inactive adults,52.6% were men,one third of them aged 35-44 years.Sedentary lifestyle was reported by 30% of those with a secondary level of education or above.Of those with a sedentary lifestyle,37.6% were housewives and 37.5% were employees;66% of them were overweight and obese.Of the physically inactive people,2.5%had a history of heart failure and 1.3%had a history of cer-ebrovascular accidents;57.2% of them tried to engage more in physical activity and almost three quarters of them were interested in improving their dietary habits.Conclusion:Most Jordanian adults have a sedentary lifestyle,which emphasizes that there is a public health problem.Many of them are attempting to lead a healthier lifestyle.Therefore,there is an urgent need to launch an applicable national plan that enables people to practice a healthier lifestyle.