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.

Examining the Hypothesis of Common Factors Shared by Different Addictive Behaviors and Gender Effects on Propensity to Addiction Type

Background: From the two facts reported by previous research: 1) frequent co-occurrence of more than one addictive behavior, 2) childhood adversities identified as origins of different types of addictive behaviors, it is assumed that all types of addictive behaviors, regardless of substance, behavioral, or relationship, share common factors which have not yet been proven by epidemiological research. The Shorter PROMIS Questionnaire (SPQ) was previously developed to assess 16 types of addictive behaviors. Its factor structure, however, has not been fully investigated. Confirming the factor structure will enable us to hypothesize the common factor(s) shared by all, or if not all, most types of addictive behaviors. Aims: This study aimed at 1) examining the factor structure of the SPQ, 2) confirming the reliability of the questionnaire, and 3) examining the impacts of gender and age on each addictive behavior. Methods: Data obtained from 232 Japanese adults who completed all items of the SPQ were used for the analyses. After confirming the one-factor structure model for each of the 16 subscales, the validity of the one-factor structure of the SPQ was evaluated using Confirmatory Factor Analysis (CFA), by adapting 16 subscale scores as observed variables. If its validity was not confirmed, another model which showed better compatibility to the data was explored. The reliability of the SPQ as well as that of all 16 subscales was evaluated. Also, the impacts of gender and age on each subscale score were examined. Results: The one-factor structure for each of the 16 subscales was confirmed. The compatibility of the SPQ one-factor model was not acceptable. The best fit model was a bi-factor model in which one main factor was shared by all 16 subscales, and three factors were shared by some specific addictive behaviors. Male respondents were more likely than female respondents to show high scores in Alcohol, Tobacco, Gambling, Sex, and Recreational Drugs, and low scores only in Shopping. Respondents’ age did not impact any of the 16 subscale scores. Conclusion: It was demonstrated that there are common factors shared by all different types, as well as selected types of addictive behaviors, by conducting CFAs of the SPQ. Reliability was proven for the SPQ and for all 16 subscales. Male respondents were more likely to show physically hedonic addictive behaviors.

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.

The Influencing Factors and Inter-Group Differences for Urban Residents' Behavior of Consuming Edible Vegetable Oil

To clarify the determinant factors and inter-group differences of Chinese urban residents' edible vegetable oil consuming behavior is very important for us to understand their consumption features of edible vegetable oil,so as to guide their consuming behavior and improve China's vegetable oil industry security.In this article,urban residents of China's three traditional vegetable oil main production areas have been chosen as study objects,and multiple linear regression and one-way ANOVA have been used to do empirical analysis on the determinant factors and inter-group differences of their edible vegetable oil consuming behavior.The results indicate that the edible vegetable oil consuming behavior of urban residents from China's three traditional vegetable oil main production areas show a trend of diversification;" publicity measures"," preference evaluation"," personal characteristics" and " family characteristics" remarkably affect urban residents' edible vegetable oil consuming behavior and show obvious provincial characteristics.In addition,urban residents from different groups show differences in terms of " publicity measures" and " preference evaluation".

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

Analysis of Factors Influencing Farmer and Herdsman's Operating Behavior in Crop Production--A Case Study of the Typical Tibetan Counties(Cities)

We select 204 panel data samples from fixed observation spots in China's rural areas(Nagqu County,Duilongdeqing County and Xigaze City in Tibet),and conduct systematic analysis of factors influencing farmer and herdsman's operating behavior in crop production,using regression estimation method of the linear model,mixed OLS model and the random effects model.The research shows that "the number of migrant workers","the amount of household labor forces","original value of fixed assets for production purpose at the end of year","whether having agricultural machinery or not" and other household endowment factors,have a positive impact on total planting area of households,and theoretically,the endowment effect of internal factors predicted is valid;the product of "average food price" and "whether selling or not" has conspicuous impact,and the empirical results confirm that in external factors,the substitution effect of price is greater than the income effect.

Research on Influence Factors of Pig Farmers' Ecological Farming Behavior: Based on the TPB and SEM

China's extensive development model of pig industry gives rise to serious resource and environment bottleneck restriction,it is urgent to transform the existing development model into ecological farming model. In this process,farmers' behavior will play a key role. On the basis of summarizing development connotation and characteristics of ecological agriculture,using survey data of 323 pig farmers in 6 provinces,based on the Theory of Planned Behavior( TPB) it introduced individual characteristics and external environment constraint variables,and made an empirical analysis on factors influencing intention and behavior of pig farmers' ecological farming using the Structural Equation Model( SEM). Results indicate:( i) ecological farming intention of pig farmers has the largest direct effect on their ecological farming behavior;( ii)ecological farming cognition of pig farmers has significant positive effect on their ecological farming behavior;( iii) external environment has the largest indirect effect on their ecological farming behavior,followed by the overall effect,and external environment has significant positive effect on ecological farming attitude and cognition of pig farmers;( iv) individual characteristics( educational level and income level) of pig farmers influence ecological farming behavior of pig farmers through their ecological farming attitude and intention,but the degree of influence is limited.

Gender disparities in the associations ofbehavioral factors, serious psychologicaldistress and chronic diseases with type 2diabetes screening among US adults

Background:The increasing prevalence of undiagnosed and diagnosed type 2 diabetes(T2D)posed a major challenge for public health and thus screening for T2D becomes essentially important.The social-demographical factors associated with the use of T2D screening have been widely studied,however,little is known about the impact of behavioral factors,mental health and chronic diseases on prevalence of screening,especially by gender and age groups.Methods:We investigated the impact of behavioral factors,mental health and chronic diseases across gender and age groups on the usage rate of T2D screening.To analyze the likelihood of the use of T2D screening,we performed weighted binomial logistic regression analyses.Results:Obesity,physical activity and smoking increased the use of T2D screening for females more than for males,and alcohol use increased screenings only for females.Serious psychological distress(SPD)was found to have a positive association with the use of T2D screening for females rather than for males;whereas hypertension and diabetes increased the use of T2D screening for males more than for females.Physical activity was an effective predictor of screening for T2D in the groups of 45-64 years and 65 years or older.Former drinking was positively associated with T2D screening for people aged 65 or older,and smoking was found to increase the odds of screening for T2D for people aged less than 65.Conclusions:Behavioral factors,mental health,and chronic diseases were significantly associated with the use of T2D screening and further demonstrated that gender differences exist in the role of above factors.

Empirical Study on Factors Influencing Residents’ Behavior of Separating Household Wastes at Source

Source separation is the basic premise for making effective use of household wastes. In eight cities of China, how- ever, several pilot projects of source separation finally failed because of the poor participation rate of residents. In order to solve this problem, identifying those factors that influence residents’ behavior of source separation becomes crucial. By means of questionnaire survey, we conducted descriptive analysis and ex- ploratory factor analysis. The results show that trouble-feeling, moral notion, environment protection, public education, environment value and knowledge deficiency are the main factors that play an important role for residents in deciding to separate their household wastes. Also, according to the contribution percentage of the six main factors to the total behavior of source separation, their influencing power is analyzed, which will provide suggestions on household waste management for policy makers and decision makers in China.

An analysis of factors influencing drinking relapse among patients with alcohol-induced psychiatric and behavioral disorders

背景:酒精所致精神行为障碍患者与不伴有精神行为障碍者相比,接受治疗后复饮率较高。目标:探讨酒精所致精神和行为障碍患者出现复饮的影响因素,为因物质使用障碍而接受治疗的患者提供康复干预的依据。方法:患者被分为研究组或对照组。采用卡方检验分析一般人口学资料、饮酒史和住院情况。患者复饮的影响因素采用logistic回归分析。结果:单因素分析显示酒精所致精神和行为障碍患者复饮的影响因素有民族、文化程度、职业、婚姻、出现精神症状的时限以及隐瞒酒精使用等;多因素分析显示上述患者复饮行为与其婚姻、出现精神症状时限以及是否有隐瞒酒精使用有关。结论:对单身患者而言,更容易在饮酒后5年内出现精神症状。隐瞒酒精使用情况者比不隐瞒者更容易复发。

An Investigation of Taiwan Residents Nursing Students’ English Learning Behaviors and Environmental Factors Related to English Learning before and after Their Internship Experiences—A Case Study

The study aimed to investigate Taiwan Residents nursing students’ English learning behaviors and environmental factors relevant to English learning before and after their internships. More than five hundred nursing students from five junior colleges in southern Taiwan served as subjects of the study. The research instrument included a 134-item questionnaire dealing with students’ personal demographic information and English learning behaviors of motivation, strategy, and anxiety. In addition, environmental factors relevant to English learning of English as the Medium of Instruction (EMI) and Internationalization at Home (IaH), as well as nursing English for practicum use were discussed. Findings revealed that some correlations among students’ English learning behaviors, environmental factors, and English levels did exist before and after their internships. Moreover, students’ internship experiences of English use also brought about some changes in their learning behaviors led to English levels. Some implications and suggestions were provided for schools and students hoping to equip students with good English skills before getting into the job market.

Farmers' Behaviors on Agricultural Technology Inputs and the Influencing Factors of Their Behaviors——Based on the Investigation of 276 Rural Households in Deyang City, Sichuan Province

On the basis of expounding farmers' behaviors on agricultural technology inputs studied by the foreign scholars; relying on the investigation data of 276 rural households in Deyang City, Sichuan Province and by using the Logistic Regression model, the farmers' behaviors on agricultural technology inputs and the influencing factors on their behaviors are analyzed. The results show the main factors that influence farmers; behaviors on agricultural inputs are whether they have the assistance of agricultural technology personnel; the choices of plantation; non-agricultural income; area of land management; the expectation on land ownership, whether it has township enterprises and the proportion of the non-agricultural labor forces and some other factors. The influencing degree of these factors descends from strong to weak. On the strength of the study results, the countermeasures on increasing local farmers' inputs on agricultural technology are put forward from the aspects of stabilizing rural land property, establishing scientific land transfer mechanism and intensifying the governmental functions of agro-technical station.

Analysis on Farmers’ Straw Marketization Behavior and Its Influence Factors: A Case Study of Hubei Province

Crop straw has huge resource potential. It has an important significance for realizing waste recycling and improving eco-environment to prefect straw marketization system and sufficiently stimulate farmers’ straw marketization behavior. Based on 427 copies of investigation data on farmers,influence mechanism framework of farmers’ straw marketization behavior is constructed,and key factors of farmers’ straw marketization behavior are analyzed. Results show that farmers joining in straw marketization account for 42. 1%; in influence factors of farmers’ straw marketization behavior,cultivated land area,market price level,logistics satisfaction and air quality perception have significantly positive impacts on farmers’ straw marketization behavior,while education degree,agricultural income proportion and traffic convenience have significantly negative impacts on farmers’ straw marketization behavior. Therefore,it needs strengthening propaganda intensity,carrying out reasonable subsidies and support,encouraging and breeding new type of organization,and establishing and improving the price mechanism of straw marketization to perfect straw marketization construction.

Trust beyond Technology Algorithms: A Theoretical Exploration of Consumer Trust and Behavior in Technological Consumption and AI Projects

In an era dominated by artificial intelligence (AI), establishing customer confidence is crucial for the integration and acceptance of AI technologies. This interdisciplinary study examines factors influencing customer trust in AI systems through a mixed-methods approach, blending quantitative analysis with qualitative insights to create a comprehensive conceptual framework. Quantitatively, the study analyzes responses from 1248 participants using structural equation modeling (SEM), exploring interactions between technological factors like perceived usefulness and transparency, psychological factors including perceived risk and domain expertise, and organizational factors such as leadership support and ethical accountability. The results confirm the model, showing significant impacts of these factors on consumer trust and AI adoption attitudes. Qualitatively, the study includes 35 semi-structured interviews and five case studies, providing deeper insight into the dynamics shaping trust. Key themes identified include the necessity of explainability, domain competence, corporate culture, and stakeholder engagement in fostering trust. The qualitative findings complement the quantitative data, highlighting the complex interplay between technology capabilities, human perceptions, and organizational practices in establishing trust in AI. By integrating these findings, the study proposes a novel conceptual model that elucidates how various elements collectively influence consumer trust in AI. This model not only advances theoretical understanding but also offers practical implications for businesses and policymakers. The research contributes to the discourse on trust creation and decision-making in technology, emphasizing the need for interdisciplinary efforts to address societal challenges associated with technological advancements. It lays the groundwork for future research, including longitudinal, cross-cultural, and industry-specific studies, to further explore consumer trust in AI.

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.

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.

Behavioral gastroenterology: An emerging system and new frontier of action

Behavioral gastroenterology is a new interdisciplinary science that explores the influence of unhealthy lifestyles and psychological factors on the digestive system and addresses the prevention,diagnosis,treatment,and rehabilitation of digestive diseases. Moreover,the concept of whole-course intervention with a focus on disease prevention and a new model of integrated therapy based on alterations of lifestyle and psychology are being gradually established. This paradigm may substantively impact the prevention and treatment of digestive diseases.

Analysis of Factors Influencing Farmers' Identification of Entrepreneurial Opportunity

Based on the survey data of entrepreneurship concerning farmers in China,this article uses the multivariate adjustment regression analysis method,to analyze the factors influencing farmers' identification of entrepreneurial opportunity and the mechanism. The results show that demographic characteristics are still an important factor influencing farmers' identification of entrepreneurial opportunity,but the extent of its influence is weaker than entrepreneurs' trait. The new trait theory is verified in farmers' entrepreneurship opportunity behavior; entrepreneurship environment is becoming an important factor influencing entrepreneurial opportunity identification,whose regulation effect on entrepreneurs' social network and previous experience is stronger than the regulation effect on entrepreneurs' psychological trait.