Academic literature on the topic 'Curvilinear saliency'

Neural encoding of pitch in the auditory brainstem is known to be shaped by long-term experience with language or music, implying that early sensory processing is subject to experience-dependent neural plasticity. In language, pitch patterns consist of sequences of continuous, curvilinear contours; in music, pitch patterns consist of relatively discrete, stair-stepped sequences of notes. The primary aim was to determine the influence of domain-specific experience (language vs. music) on the encoding of pitch in the brainstem. Frequency-following responses were recorded from the brainstem in native Chinese, English amateur musicians, and English nonmusicians in response to iterated rippled noise homologues of a musical pitch interval (major third; M3) and a lexical tone (Mandarin tone 2; T2) from the music and language domains, respectively. Pitch-tracking accuracy (whole contour) and pitch strength (50 msec sections) were computed from the brainstem responses using autocorrelation algorithms. Pitch-tracking accuracy was higher in the Chinese and musicians than in the nonmusicians across domains. Pitch strength was more robust across sections in musicians than in nonmusicians regardless of domain. In contrast, the Chinese showed larger pitch strength, relative to nonmusicians, only in those sections of T2 with rapid changes in pitch. Interestingly, musicians exhibited greater pitch strength than the Chinese in one section of M3, corresponding to the onset of the second musical note, and two sections within T2, corresponding to a note along the diatonic musical scale. We infer that experience-dependent plasticity of brainstem responses is shaped by the relative saliency of acoustic dimensions underlying the pitch patterns associated with a particular domain.

Objective:To examine the utility of resting-state functional connectivity MRI (rs-fcMRI) measurements of network integrity as a predictor of future cognitive decline in preclinical Alzheimer disease (AD).Methods:A total of 237 clinically normal older adults (aged 63–90 years, Clinical Dementia Rating 0) underwent baseline β-amyloid (Aβ) imaging with Pittsburgh compound B PET and structural and rs-fcMRI. We identified 7 networks for analysis, including 4 cognitive networks (default, salience, dorsal attention, and frontoparietal control) and 3 noncognitive networks (primary visual, extrastriate visual, motor). Using linear and curvilinear mixed models, we used baseline connectivity in these networks to predict longitudinal changes in preclinical Alzheimer cognitive composite (PACC) performance, both alone and interacting with Aβ burden. Median neuropsychological follow-up was 3 years.Results:Baseline connectivity in the default, salience, and control networks predicted longitudinal PACC decline, unlike connectivity in the dorsal attention and all noncognitive networks. Default, salience, and control network connectivity was also synergistic with Aβ burden in predicting decline, with combined higher Aβ and lower connectivity predicting the steepest curvilinear decline in PACC performance.Conclusions:In clinically normal older adults, lower functional connectivity predicted more rapid decline in PACC scores over time, particularly when coupled with increased Aβ burden. Among examined networks, default, salience, and control networks were the strongest predictors of rate of change in PACC scores, with the inflection point of greatest decline beyond the fourth year of follow-up. These results suggest that rs-fcMRI may be a useful predictor of early, AD-related cognitive decline in clinical research settings.

Abstract The disturbed elastic fields of a curvilinear inclusion in an isotropic elastic plane are investigated analytically by a newly proposed technique. The boundary of the inclusion is characterized by arbitrary Laurent polynomials in the 2D Cartesian coordinate system, and constant eigenstrains are considered to occur in the inclusion. Based on the irreducible decomposition of an arbitrary tensor, the Eshelby tensor is attributed to two integrals on the curved boundary of the inclusion. The analytical solutions for the induced stress and displacement fields outside the inclusion domain are explicitly derived by utilizing the newly developed technique, including the salient features of the Faber polynomials. Examples show the efficiency of the technique in this paper.

Social contagion research suggests that individual decision making is shaped by collective, social processes. We extend the entrepreneurial optimism literature by arguing that collective optimism—the shared, positive expectations about future outcomes—is salient to key entrepreneurial outcomes. We test our position by examining how fluctuations in U.S. collective entrepreneurial optimism influence venture creation and growth using 1993–2010 NFIB entrepreneurial optimism data. Results indicate that collective entrepreneurial optimism exhibits a curvilinear relationship with venture creation and growth, which is moderated by environmental dynamism. We validate the NFIB measure by constructing an alternative measure of collective entrepreneurial optimism using media reports.

Death anxiety is presumed to be positively associated with group identification; however, recent evidence of a null correlation between the two constructs raises questions regarding this assumption. In contrast to the traditional linear perspective, we proposed and tested a J-shaped curvilinear association that only death anxiety beyond a certain threshold predicts group identification. Using two-wave longitudinal data from the UK, study 1 (N=1,402) revealed that only after reaching a moderate-to-high level could death anxiety measured during the COVID-19 pandemic positively predict later identification with the community, one’s country, and all humanity. Furthermore, using World Values Survey data, study 2 (N=56,871) found that death-related anxiety (i.e., worry about a terrorist attack) was only positively associated with perceived closeness to one’s village, county, and country after reaching a moderate-to-high level. Our findings provide a novel insight into the process of managing terror and the replication failure of the mortality salience effect.

Purpose The purpose of this paper is to understand e-loyalty in the travel industry. Specifically, this paper aims to examine the curvilinear relationship between predictors and e-loyalty. Design/methodology/approach An empirical study was conducted using an online survey with one of the largest travel companies in China. Structural equation modeling was used to test the models, and pair-wise nested F-tests were used to compare the models. Findings Results show that the curvilinear model has greater explanatory power of loyalty than traditional linear models. The results of pair-wise nested F-tests show that the loyalty model exhibits statistically significant R2 improvement compared to the linear model. However, the R2 improvement in the integrated model is not statistically different from that in the linear model. Confirmation and satisfaction are found to be salient factors influencing loyalty. Research limitations/implications This study makes important contributions to the online community literature by understanding the drivers of loyalty in the travel industry. However, there are limitations. First, this study addressed member loyalty of an online travel community with data collected from one company. Thus, generalizability is limited. Online communities and firms may have different characteristics, resulting in different factors influencing consumer loyalty. The authors plan in the future to collect data from other online travel companies and examine their model with different samples so as to check the generalizability of the current findings. Second, the authors collected a snapshot view on loyalty. Both researchers and managers note that small changes in loyalty and retention can yield disproportionately large changes in profitability (Reichheld et al., 2000). Consumer loyalty may change over time, so to maintain and increase profits, it is important to monitor such change. In the future, the authors plan to conduct a longitudinal study of community members to evaluate their loyalty over time. Practical implications As China seeks to gain additional market share in the global tourism market, travel companies should make use of websites as a marketing tool to attract and retain customers. These actions enable a travel company to enhance its competitiveness. More and more people use the internet for tour deals, bookings and finding tour-related information. Effective use of websites can affect the competitiveness of ecommerce companies. E-vendors could assess and adopt the dimensions recommended in this paper to help better understand areas for improvement. It is common today for consumers to buy travel products online instead of going through a travel agent. Considering the importance of reciprocity in formulating consumer satisfaction and loyalty in the virtual environment, companies should monitor reciprocal behavior on the virtual community. With advancement in technologies, consumer behaviors have changed and more consumers prefer social interactions in the virtual world. Companies can analyze posts in the virtual environment to assess reciprocity and may design a mechanism to foster reciprocal behaviors. By leveraging reciprocity, firms can better connect satisfaction with loyalty. More than 70 per cent of executives surveyed by McKinsey (2012) said that they regularly generate value through their Web communities. In addition, to pay attention to consumer to consumer reciprocity in the virtual world, companies should listen to what customers say in their online community, as this attention is an indication of reciprocity between consumers and companies. The ideas and opinions expressed in the online community tell the company customers’ perception of the value of its products and customers’ needs. Such attention to the voices in the online community will help companies to better tailor products/services to meet customers’ needs. Furthermore, the voices expressed in the virtual community are also effective in developing and maintaining new internet marketing opportunities such as email marketing, giveaways, search engine optimization, pay per click and shopping comparison marketing. Companies interested in retaining and attracting customers should leverage their established virtual communities and pay close attention to online posts and evaluate members’ satisfaction. Such effort will provide tangible benefits. As shown in Ye et al.’s study, traveler reviews produce a significant impact on online sales (Ye et al., 2011), with a 10 per cent increase in traveler review ratings, boosting online bookings by more than 5 per cent. This finding suggests that businesses should link online user-generated reviews to business performance in tourism. Finding incentives for users to share might be one way to improve interactivity and further create stickiness on the part of the website. Originality/value This paper is one of the first studies to address the need to move beyond linear models of e-loyalty and to additionally examine potential curvilinear and interactive effects. This study also identifies key variables such as reciprocity and satisfaction as determinants of e-loyalty in the Chinese online travel and tourism industry.

Typical crack detection processes in digital images produce a binary-segmented image that constitutes the basis for all of the following analyses. Binary images are, however, an unsatisfactory data format for advanced crack analysis algorithms due to their sparse nature and lack of significant data structuring. Therefore, this work instead proposes a new approach based on Euclidean graphs as functional crack pattern descriptors for all post-detection analyses. Conveying both geometrical and topological information in an integrated representation, Euclidean graphs are an ideal structure for efficient crack path description, as they precisely locate the cracks on the original image and capture salient crack skeleton features. Several Euclidean graph-based algorithms for autonomous crack refining, correlation and analysis are described, with significant advantages in both their capabilities and implementation convenience over the traditional, binary image-based approach. Moreover, Euclidean graphs allow the autonomous selection of specific cracks or crack parts based on objective criteria. Well-known performance metrics, namely precision, recall, intersection over union and F1-score, have been adapted for use with Euclidean graphs. The automated generation of Euclidean graphs from binary-segmented images is also reported, enabling the application of this technique to most existing detection methods (e.g., threshold-based or neural network-based) for cracks and other curvilinear features in digital images.

For many young adults today dating is not taken as a path to marriage, but as a relationship to be considered on its own terms with a beginning, middle, and end. Yet, research has not kept pace as most studies that look at relationships over time focus on marriages. In the present study, we look at individual differences and normative patterns of dating relationship quality over time. We tested a path model of associations between relationship duration, attachment insecurity, and four relationship quality domains (sexual frequency, commitment, satisfaction, and companionship) among a large sample of dating young adults (N = 1345). Based on a conceptual model of romantic relationship development, results supported expectations that dating trajectories are curvilinear, with unique patterns of accent, peak, and decent for each relationship domain. Dating duration also moderated the relationship between dating quality and attachment insecurity with anxious attachment becoming a more salient predictor of lower satisfaction and lower commitment in long-term versus short-term relationships. A quadratic interaction with sexual frequency indicated that insecurity predicted less sexual activity in new relationships, more activity among relationships between two and four years, but then less again in longer-term relationships. Findings suggest patterns of stability and change in dating relationships during emerging adulthood that complement those observed from the marriage literature.

Abstract Introduction Sleeping too little or too much has been linked to adverse mental health outcomes in youth. Most studies that described the link between sleep duration and suicide risk in youth, however, relied on a single assessment of sleep and suicidal ideation, with considerable temporal gaps in between. Characterizing the proximal link between sleep duration and suicide risk in children and adolescents is essential for developing informative, early mobile interventions. We examined the association between ecologically assessed suicidal ideation (SI) and sleep duration in youth recruited after a partial hospitalization program. We also examined contextual factors in relation to sleep duration that are particularly salient for youth, including nighttime social media use and social media use-related self-referential cognitions. Methods We used ecological momentary assessment (EMA) 3 times/day over two weeks in discharged partial hospital patients to assess their levels of SI at home (n=79; 62% assigned F at birth; ages 12-15; mean 13.52; sd 1.14 yr). We also asked youth to report their bedtimes and waketimes every morning for two weeks. Social media use was assessed once via a questionnaire. Results Using generalized linear mixed models, we showed a significant quadratic effect of sleep duration on next-day SI (B=–0.04, SE =0.01, p< 0.001). The turning point of the quadratic function was the sleep duration of 10 hours. Specifically, longer sleep was linked to lower next-day SI, with this association reversing at 10 hours of sleep. Nighttime social media use (B=–0.18, SE =0.05, p< 0.001) and engaging in social media use-related self-criticism (B=–0.10, SE =0.05, p< 0.05) were both linked to shorter sleep duration, whereas daytime social media use was not associated with sleep duration (p>0.05). Conclusion These preliminary findings point to a curvilinear association between how long children and adolescents sleep and how much they think about suicide the following day and highlight the significance of social media use at bedtime. The findings emphasize the potential clinical relevance of daily assessment of sleep duration in developing adaptive, just-in-time interventions to decrease suicide risk in youth. Support (if any) NIMH Career Development (K23MH122587) Award; Bradley Hospital COBRE Center (P20GM139743).

A large-eddy simulation (LES) solver which combines an immersed-boundary technique with a curvilinear structured grid has been developed to study the temporal and spatial dynamics of an incompressible rotor tip-clearance flow. The overall objective of these simulations is to determine the underlying mechanisms for low-pressure fluctuations downstream of the rotor near the endwall. Salient features of the numerical methodology, including the mesh topology, the immersed boundary method, the treatment of numerical instability for non-dissipative schemes on highly skewed meshes, and the parallelization of the code for shared memory platforms are discussed. The computational approach is shown to be capable of capturing the evolution of the highly complicated flowfield characterized by the interaction of distinct blade-associated vortical structures with the turbulent endwall boundary layer. Simulation results are compared with experiments and qualitative as well as quantitative agreement is observed.