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Individual personality traits are powerful determinants of behavior, and they can profoundly influence consumer decisions as a comprehensive understanding of consumer personality traits. Their role in decision-making can improve the predictability of consumer-related behavior. In this study, data on consumers’ preferences and personality traits were collected through questionnaires using the Wood Furniture Product Characteristics Consumer Preference Scale and the Big Five Personality Inventory Simplified. Bivariate correlation analysis and stepwise multiple regression analysis were used to investigate the relationship between the Big Five personality traits (neuroticism, extraversion, openness, agreeableness, and conscientiousness) and wood furniture product characteristics consumer preferences. Correlation analysis indicated that neuroticism was correlated negatively with wood furniture product characteristic consumer preference scores. Extraversion, agreeableness, and conscientiousness were correlated positively with wood furniture product characteristic consumer preference scores. There was no correlation between openness and consumer preference. Regression analysis indicated that neuroticism, extraversion, agreeableness, and conscientiousness predicted wood furniture product trait consumer preferences. Overall, assessing personality traits can help provide insight into the psychological and behavioral characteristics of consumers when purchasing wood furniture products, allowing for a more comprehensive understanding of market demand and more effective marketing and product positioning strategies.

With population growth, the number of high-rise residential buildings has continuously increased. Consequently, fire safety and evacuation issues in high-rise buildings have gradually garnered public attention. This study conducted an empirical survey to evaluate the fire safety knowledge and awareness among residents of high-rise buildings in China. The questionnaire sample comprised Chinese residents living in high-rise buildings, with a total of 606 valid responses collected and analyzed. The results revealed that while most residents possessed basic knowledge of high-rise building fire safety, their preparedness for fire incidents remained insufficient. It is recommended that stricter enforcement of safety regulations and the implementation of measures to mitigate fire risks in buildings. Based on descriptive statistical analysis, a hierarchical multiple regression analysis was employed to identify key factors influencing residents’ fire safety awareness and knowledge. The findings indicated that gender, age, educational level, and participation in fire drills were critical factors affecting residents’ fire safety knowledge and awareness. These results provide supportive references for stakeholders to reduce fire risks and associated losses.

This study aims to identify the relationship among the maximum wall deflection, system stiffness, and factor of safety (FS) against push-in failure for deep excavations in loose to medium-dense sand. It is concluded that when the FS against push-in failure is greater than or approximately equal to 1.2, the excavation remains stable, and the abovementioned relationship can be used to determine the maximum wall deflection. Empirical approaches for determining the maximum wall deflection are classified by the FS against push-in into two categories: 1.2 ≤ FS < 1.5 and 1.5 ≤ FS ≤ 2. Furthermore, the impacts from the strutting systems, such as the strut sizes and horizontal strut spacing, are further scrutinized by using non-linear multiple regression analysis to improve the reliable prediction of the wall deflection for deep excavation in loose to medium-dense sand. The outcome is also validated by excavation cases that have similar ground and retaining systems in this study.

A multi-spectral diffuse reflectance imaging method based on a single snap shot of Red-Green-Blue images acquired with the exposure time of 65 ms (15 fps) was investigated for estimating melanin concentration, blood concentration, and oxygen saturation in human skin tissue. The technique utilizes the Wiener estimation method to deduce spectral reflectance images instantaneously from an RGB image. Using the resultant absorbance spectrum as a response variable and the extinction coefficients of melanin, oxygenated hemoglobin and deoxygenated hemoglobin as predictor variables, multiple regression analysis provides regression coefficients. Concentrations of melanin and total blood are then determined from the regression coefficients using conversion vectors that are numerically deduced in advance by the Monte Carlo simulations for light transport in skin. Oxygen saturation is obtained directly from the regression coefficients. Experiments with a tissue-like agar gel phantom validated the method. In vivo experiments on fingers during upper limb occlusion demonstrated the ability of the method to evaluate physiological reactions of human skin.

Background To reflect the health literacy (HL) skills needed for managing type 2 diabetes (T2DM) in everyday life, HL in people with T2DM should be measured from a broader perspective than basic skills, such as proficiency in reading and writing. The HLS-Q12, based on the European Health Literacy Survey Questionnaire (HLS-EU-Q47), assesses four cognitive domains across three health domains. International studies on people with T2DM show inconsistent results regarding the association between HL and general health and the association between HL and glycaemic control. Moreover, knowledge is needed related to the link between HL and empowerment for those with T2DM. The aims of this study were to examine the association between i) HL and general health and diabetes outcomes, ii) HL and health behaviours and iii) HL and empowerment in people with T2DM. Methods During March and April 2015, 388 adults with T2DM responded to a paper-and-pencil self-administered questionnaire. A sequential multiple regression analysis was applied to explore the association between HL, as measured by the HLS-Q12, and health conditions, HbA1c, health behaviours and empowerment. Results For people with T2DM, higher levels of HL were associated with higher levels of education, better overall health conditions and higher self-perceived empowerment. No empirical evidence strengthening either the link between HL and glycaemic control or the link between HL and health behaviours was found. Conclusions The independent variables education level, overall health condition and empowerment explained about one-third of the total observed variance in HL.

In this study, we use Artificial Neural Networks (ANN) and Multiple Regression Analysis to evaluate the prediction of two crucial self-compacting concrete properties: compressive strength and split tensile strength. It was possible to create four different datasets, each of which had different concrete mix proportions along with their respective ages in days, compressive strengths (MPa), and split tensile strengths (MPa). Separate ANN models and Regression models were trained and tested using these datasets. As a gauge of prediction accuracy, Mean Squared Error (MSE) was used to assess the performance of the models. This study offers insightful information on the application of multiple regression analysis and artificial neural networks to forecast the characteristics of self-compacting concrete using GGBS and Alccofine. Here Alccofine functions as an additive and GGBS acts as a partial substitute for cement at 0 to 60% with a fluctuation of 10%. The outcomes highlight the potential of neural networks as a tool for concrete mix design optimization and quality control since they can capture complex correlations between input variables and concrete strength.

In this study we investigated how demographic factors, personality traits, leadership qualities, and general work performance predicted the evaluation and selection criteria for coaches. Specifically, we identified key predictors that influenced various selection criteria and highlighted those with a significant impact on specific selection criteria, including (a) coaching results for athletes, (b) the coach's personal achievements, (c) the design and implementation of coaching programs, (d) competition management, (e) psychological support for athletes, and (f) commitment to the club. The study sample consisted of 585 coaches employed by 237 amateur sports clubs in Attica, Greece. Data were collected using measures of demographics, personality, leadership, general work performance, and coach selection criteria. A three-step hierarchical multiple regression analysis was performed to identify the significant predictors of coach selection criteria in the context of amateur sports. The results indicate that specific demographic factors (such as primary professional occupation, age, professional experience, and previous athletic experience), personality traits (conscientiousness and openness to experience), leadership qualities (intellectual stimulation and administrative skills), and general work performance significantly influence and predict the selection criteria used by amateur sports clubs. Amateur sports clubs involved in this study prioritized coaches who had coaching as their primary profession, had extensive coaching and athletic experience, exhibited high levels of conscientiousness and openness to experience, and demonstrated strong intellectual stimulation and general work performance. The study shows that the selection of coaches in amateur sports settings involves a careful consideration of the knowledge, skills, competencies, and individual characteristics essential for effective coaching. It also provides valuable insights for sports clubs regarding coach selection criteria and offers important guidance for coaches working in this environment.

Background: Parenting quality experienced in childhood affects depressive symptoms in adulthood, and neuroticism and resilience are attracting attention as personality traits that mediate the effects of parental rearing quality experienced in childhood on adulthood depressive symptoms. However, the interaction between neuroticism and resilience remains unclear. In this study, we hypothesized that resilience and neuroticism are mediators between parental rearing quality experienced in childhood and depressive symptoms in adulthood, and furthermore, that resilience and neuroticism interact with each other in their effects on depressive symptoms. To test these hypotheses, we conducted structural equation modeling and hierarchical multiple regression analysis including interactions in adult volunteers. Methods: A self-administered questionnaire survey was conducted on 528 adult volunteers recruited at Tokyo Medical University for 1 year from April 2017 to April 2018. The Parental Bonding Instrument (PBI), Eysenck Personality Questionnaire-revised short version, Connor-Davidson Resilience Scale, and Patient Health Questionnaire-9 were used as questionnaires, and their scores were analyzed using structure equation modeling. The interaction between resilience and neuroticism was analyzed using hierarchical multiple regression analysis. Results: Structural equation modeling showed that parenting quality (care and overprotection) experienced in childhood had a significant indirect effect on the severity of depressive symptoms in adulthood, mediated by both neuroticism and resilience. Among the subscores of the PBI, \"care\" showed opposite effects to \"overprotection\". Structural equation modeling of \"care\" and \"overprotection\" explained 36.9% and 36.6% of the variability in depressive symptoms in adulthood, respectively. Hierarchical multiple regression analysis showed that the negative interaction between neuroticism and resilience had a significant effect on depressive symptom severity in adulthood. Conclusion: The results of this study show that resilience and neuroticism are mediators of the effects from parental child-rearing to depressive symptoms in adulthood. Furthermore, resilience antagonizes the effect of neuroticism on adulthood depressive symptoms. Keywords: parenting, resilience, neuroticism, depressive symptoms, structure equation modeling, hierarchical multiple regression analysis

Embedment properties are vital to timber structural designs, and many types of wood-based structural panels have been developed for diverse uses. Comprehensive and systematic studies regarding the embedment properties of wood-based structural panels are limited. In this study, a jig that allows the observation of fracture processes is developed, and a monotonic tensile embedment test is conducted on plywood, oriented strandboard (both strong and weak axes), particleboard, medium density fiberboard, and hardboard. The parameters used in the test are the dowel diameter, pilot hole size, and end and edge distances. The effects of these parameters on the embedment properties (i.e., the failure mode, ductility, maximum stress, and yield stress) are discussed comprehensively. The failure mode is determined by the edge distance. At a sufficient edge distance, ductile failure occurs, and the load is maintained until the remaining end distance reaches a certain value. The maximum stress and yield stress are analyzed quantitatively via standardized multiple regression analysis. The results suggest the following: (i) The ratio of the in-plane strength to the internal bond strength is related to the failure behavior; (ii) the dowel diameter, fiber direction, and load levels affect the stress spread pattern of the embedment pressure.

Background There are still few studies on the clinical characteristics and related risk factors of schizophrenia patients with intestinal obstruction. Our aim is to explore the clinical characteristics and related risk factors of schizophrenia patients with intestinal obstruction. Methods This study focused on schizophrenia patients with intestinal obstruction who were hospitalized in the psychiatric department of a hospital in Wuhan from January 2007 to December 2020 as the main research object. We intend to retrospectively analyze the clinical characteristics and related risk factors of schizophrenia patients with intestinal obstruction. Results In the 1937 persons with schizophrenia included in this study, 97 patients were complicated with intestinal obstruction, and the incidence was 5.01%.The results of the study showed that patients with age ≥ 60 years old, visiting time ≥ 24 h, hospital stay ≥ 90 days, history of abdominal surgery, course of disease ≥ 5 years, male, and patients with cardiovascular and cerebrovascular diseases are prone to intestinal obstruction; Logistic multiple regression analysis showed that the related risk factors of schizophrenia patients with intestinal obstruction mainly included the patient's age, visiting time, length of hospital stay, history of abdominal surgery, course of disease and gender. Conclusion The older the age, the longer the hospital stay, the longer the course of the disease, the history of previous surgery, and the male schizophrenia who do not see a doctor within 24 h of the onset, the risk of intestinal obstruction is higher, and it is easy to be misdiagnosed and even life-threatening.