Catalogue Search | MBRL
Are you sure you want to remove the book from the shelf?
{{itemTitle}}
70,368
result(s) for
"composite analysis"
Sort by:
Weighted composite analysis and its application: an example using ENSO and geopotential height
Performance counts of the signal to noise ratio for weighted composite analysis (WCA) and traditional composite analysis (CA) in various sample size of CA and deviation ratio of noise over signal. “All” represents using all samples corresponding to positive index event. The arbitrariness of composite analysis due to criterion of defining positive and negative events is an unsolved problem. To deal with it, a new method based on the covariance and defined as weighted composite analysis was developed in this study. Two ideal cases reveal that the new method can eliminate noise more effectively in small sample size, and has a higher signal to noise ratio than the traditional method in some cases. And a real case on the relationship between ENSO and geopotential height over East Asia in summer indicates that the new method shows some similar features with composite analyses, but can effectually avoid some inappropriate conclusions. It therefore provides an alternative approach to investigate linkages between different variables.
Journal Article
Guided waves in structures for SHM
Understanding and analysing the complex phenomena related to elastic wave propagation has been the subject of intense research for many years and has enabled application in numerous fields of technology, including structural health monitoring (SHM).
eBook
The effect of five different universal adhesives on the clinical success of class I restorations: 24-month clinical follow-up
ObjectivesThe aim of this study was to evaluate the 24-month clinical performance of universal adhesives on the restoration success of Class I carious lesions.Materials and methodsFive different universal adhesives (Gluma Bond Universal (GU), Clearfil Universal (CU), Prime&Bond Elect Universal (PU), All bond Universal (AU), and Single Bond Universal (SU)) were used in the self-etch and etch-and-rinse modes in 42 patients. The study was conducted with 10 groups, with 20 restorations in each group. The restorations were evaluated at baseline and during a 24-month recall using World Dental Federation (FDI) and the US Public Health Service (USPHS) criteria. The changes in the parameters were analyzed using the chi-square test.ResultsAt the end of 24 months, there was no loss of restoration in any group. According to the USPHS, there was no difference in the baseline and 24-month clinical behavior of the restorations (P ˃ 0.05). However, according to the FDI, when adhesives were used in the self-etch mode, three adhesives (GU, SU, PU) showed marginal incompatibility, and one adhesive showed (GU) marginal discoloration between baseline and the 24-month follow-up evaluation (P < 0.05). There was no significant difference after 24 months between etch-and-rinse and self-etch groups according to the results based on both the USPHS and FDI criteria (P ˃ 0.05).ConclusionsThe 24-month clinical performance of the evaluated universal adhesives depends on the adhesive strategy.Clinical relevanceThis study helps clinicians to decide in which mode (etch-and-rinse or self-etch) universal adhesives can be safely used.
Journal Article
Severity of drought and heatwave crop losses tripled over the last five decades in Europe
Extreme weather disasters (EWDs) can jeopardize domestic food supply and disrupt commodity markets. However, historical impacts on European crop production associated with droughts, heatwaves, floods, and cold waves are not well understood—especially in view of potential adverse trends in the severity of impacts due to climate change. Here, we combine observational agricultural data (FAOSTAT) with an extreme weather disaster database (EM-DAT) between 1961 and 2018 to evaluate European crop production responses to EWD. Using a compositing approach (superposed epoch analysis), we show that historical droughts and heatwaves reduced European cereal yields on average by 9% and 7.3%, respectively, associated with a wide range of responses (inter-quartile range +2% to −23%; +2% to −17%). Non-cereal yields declined by 3.8% and 3.1% during the same set of events. Cold waves led to cereal and non-cereal yield declines by 1.3% and 2.6%, while flood impacts were marginal and not statistically significant. Production losses are largely driven by yield declines, with no significant changes in harvested area. While all four event frequencies significantly increased over time, the severity of heatwave and drought impacts on crop production roughly tripled over the last 50 years, from −2.2% (1964–1990) to −7.3% (1991–2015). Drought-related cereal production losses are shown to intensify by more than 3% yr−1. Both the trend in frequency and severity can possibly be explained by changes in the vulnerability of the exposed system and underlying climate change impacts.
Journal Article
Essential new PLS-SEM analysis methods for your entrepreneurship analytical toolbox
Rigorous research across the wide spectrum of entrepreneurship is important for developing knowledge and innovation in the field, which in turn offers building blocks for future inquiry, practice, innovation, and economic growth. For this reason, scholars continually seek new empirical analysis tools to examine constructs and variables included in their research. While many familiar tools remain at the core of the scholar’s tool box, PLS-SEM offers valuable options that have been accentuated by recent developments. This article provides a thorough review of PLS-SEM and its application to current entrepreneurship research, summarizes the emergent confirmatory composite analysis (CCA) processes for applying and interpreting the analysis, explains why PLS-SEM can be especially advantageous for research in this field, and concludes with suggestions for scholars as they plan future research projects. In addition, recent PLS-SEM developments are shared that may effectively apply to entrepreneurship research.
Journal Article
Confirmatory composite analysis using partial least squares: setting the record straight
Confirmatory composite analysis (CCA) is a subtype of structural equation modeling that assesses composite models. Composite models consist of a set of interrelated emergent variables, i.e., constructs which emerge as linear combinations of other variables. Only recently, Hair et al. (J Bus Res 109(1):101–110, 2020) proposed ‘confirmatory composite analysis’ as a method of confirming measurement quality (MCMQ) in partial least squares structural equation modeling. As a response to their study and to prevent researchers from confusing the two, this article explains what CCA and MCMQ are, what steps they entail and what differences they have. Moreover, to demonstrate their efficacy, a scenario analysis was conducted. The results of this analysis imply that to assess composite models, researchers should use CCA, and to assess reflective and causal–formative measurement models, researchers should apply structural equation modeling including confirmatory factor analysis instead of Hair et al.’s MCMQ. Finally, the article offers a set of corrections to the article of Hair et al. (2020) and stresses the importance of ensuring that the applied model assessment criteria are consistent with the specified model.
Journal Article
Understanding the intention of consumers towards 3D food printing: exploratory study of psychological factors and sensory analysis
This study examines consumer acceptance and behavioral intentions towards 3D food printing (3DFP) technology for household use, shedding light on factors influencing its market adoption. Integrating constructural level theory with novel product acceptance research, the study identifies satisfaction as a critical mediator between prior knowledge of 3D food printing, consumer innovativeness & adaptability, and behavioral intentions. Prior knowledge of 3D food printing and consumer innovativeness and adaptability significantly predict behavioral intentions (β = 0.807* and β = 0.605*, respectively), with satisfaction also playing a direct positive role (β = 0.366*). Conversely, Novel Technology Neophobia negatively impacts behavioral intentions (β = −0.027). Satisfaction mediates the effects of prior knowledge of 3D food printing and consumer innovativeness & adaptability on behavioral intentions (β = 0.406* and β = 0.200*). A sensory evaluation by a semi-trained panel ( n = 29) reveals that 3D printed food samples differ significantly ( p < 0.05) in appearance and cohesiveness, particularly with varied infill densities. The findings highlight the importance of understanding consumer perceptions and the role of satisfaction in promoting 3DFP adoption, especially for customized traditional milk sweets in domestic settings. This research underlines the need for targeted communication strategies to emphasize the personalization benefits of 3DFP in home use.
Journal Article
Impacts of Mesoscale Eddy Structural Characteristics on Matched-Field Localization Uncertainty
Matched-field processing localizes underwater acoustic targets by measuring the degree of correlation between the acoustic field and replica fields. The intrusion of mesoscale eddies can induce sound speed mismatch in the matched-field process. Therefore, it is essential to investigate the impact of mesoscale eddies on matched-field localization errors. In this study, the typical vertical structure of mesoscale eddies in a certain region of the Northwestern Pacific was synthesized using the mesoscale eddy dataset META 2.0 and Argo float data. Furthermore, by employing both an idealized eddy model and composite-analysis structure of eddy, the performance of the localization algorithm was evaluated under the influence of mesoscale eddies with different structures and in different regions. The results show that under specific conditions, the distribution of localization errors exhibits certain patterns, which is beneficial for inverting eddy parameters via matched-field processing. Finally, the mechanism behind the systematic distribution of localization errors is discussed and analyzed. In the simulations, the source frequency was swept from 50 to 75 Hz with a 1 Hz step, and a circular array was employed as the receiving aperture. These findings indicate that, in the absence of small-scale interference and within a certain range of sound speed mismatch, the localization error of underwater acoustic targets increases with the strengthening of mesoscale eddy disturbances.
Journal Article
Influence of Large‐Scale Teleconnection Patterns on Hailstorm Severity in Alberta
Severe hailstorms pose significant threats to agriculture and infrastructure in mid‐latitude regions. This study examines how large‐scale climate patterns can influence hailstorm intensity in Alberta, Canada. We conducted a composite analysis of seven teleconnection indices, including the Pacific‐North America pattern and Arctic Oscillation, and their relationships with hail intensity, measured by Vertically Integrated Liquid (VIL) values, using radar data from 1997 to 2020. Our findings indicate that most indices influence hail intensity through lagged effects by modulating atmospheric conditions prior to the hail season. Positive phases of several indices during preceding seasons are associated with elevated VIL values, consistent with atmospheric preconditioning. In contrast, some teleconnections, such as the Arctic Oscillation, exhibit short‐lag effects that influence hailstorm intensity during the hail season itself. These findings improve understanding of how teleconnections regulate hailstorm severity, informing seasonal forecasting, early warning systems, and climate risk assessments in mid‐latitude hail‐prone regions.
Journal Article