Behavior Of Trajectories Research Articles

Modulation of reaching by spatial attention.

Attention is needed to perform goal-directed vision-guided movements. We investigated whether the direction of covert attention modulates movement outcomes and dynamics. Right-handed and left-handed volunteers attended to a spatial location while planning a reach toward the same hemifield, the opposite one, or planned a reach without constraining attention. We measured behavioral variables as outcomes of ipsilateral and contralateral reaching and the tangling of behavioral trajectories obtained through principal component analysis as a measure of the dynamics of motor control. We found that the direction of covert attention had significant effects on the dynamics of motor control, specifically during contralateral reaching. Data suggest that motor control was more feedback-driven when attention was directed leftward than when attention was directed rightward or when it was not constrained, irrespectively of handedness. These results may help to better understand the neural bases of asymmetrical neurological diseases like hemispatial neglect.

Non-parental Childcare During Early Childhood and Problem Behaviour Trajectories from Ages 5 to 14 Years.

Using data from the nationally representative Millennium Cohort Study, this study examined the association between age of starting and weekly hours in formal childcare between birth and 5years with internalising and externalising behaviour trajectories from ages 5 to 14years in England (N = 6194 children). Associations were analysed using multilevel general linear regression models, with adjustment for socio-economic position, maternal mental health, demographics, and child temperament. Later entry was associated with more internalising behaviours at age 14years. Children who spent > 40h per week in childcare between birth and 3years displayed more externalising behaviour at 5years than children who did not attend childcare. Controlling for socio-economic position and parental mental health attenuated findings.

Fighting the good fight: Relating warmth and dominance across romantic conflict to resolution

Research on romantic conflict has persuasively documented that the way partners communicate with one another during disagreements is a driving factor in predicting how they perceive the conflicts in their relationships. The current research added to this literature by differentiating couples who resolve conflicts more, versus less, successfully. Specifically, the current work examined how couples’ behavioral trajectories across the course of conflict related to their perceptions of conflict resolution. To this end, we coded warmth and dominance behaviors exhibited by 173 couple members (346 individuals) over the course of an eight-minute conflict discussion. We examined how participants’, and their partners’, perceptions of conflict resolution were related to their interpersonal behaviors. In line with predictions, less average interpersonal warmth was associated with worse perceptions of resolution, and declining warmth over time was also associated with worse perceptions of resolution. Dominance behaviors were not associated with conflict resolution perceptions.

Satisfaction with Behavior Trajectory Security Protection in Social Media Intelligent Recommendations

Abstract Intelligent recommender systems provide personalized recommendation for users based on their behavior trajectories. Intelligent recommendation is a double-edged sword with increasing impacts. This study investigates the influencing mechanism of social media users’ satisfaction with behavior trajectory security protection in the context of intelligent recommendation, with the aim of promoting healthy development of mobile social media. This study applied the grounded theory method to identify relations among concepts and categories in terms of three-level coding. During open coding, 271 initial concepts and 26 subcategories were elicited; during axial coding, 10 categories were elicited; and during selective coding, relations among categories were identified and a theoretical model was developed. The results indicate that satisfaction with behavior trajectory security protection is directly influenced by security protection information quality, security protection system quality, security protection service quality, net benefits, external support, privacy concerns, and privacy cognitive biases. Privacy literacy has direct impacts on privacy concerns and privacy cognitive biases. Meanwhile, herd behavior directly impacts privacy concerns. Implications for theory and practice are discussed.

Towards biogeomorphic river restoration: Vegetation as a critical driver of physical habitat

AbstractThe current focus of river restoration on flow and sediment transfer without proper consideration of vegetation as a key structuring agent, beyond its stabilising effect, is too simplistic. We contend that vegetation has an essential role in shaping the physical fluvial environment and should be considered equally alongside hydrogeomorphic processes in restoration projects. In support, we introduce engineer plants as important controls, along with flowing water and transported sediments, on the morphodynamics of river systems and associated physical habitat development. The effect of vegetation on channel planform is then summarised, the influence of vegetation on hydrogeomorphic connectivity is outlined, and then the role of vegetation in landform development and habitat provision, as encapsulated in the fluvial biogeomorphic succession model, is described. We then present examples demonstrating how vegetation has contributed to the recovery of degraded rivers through biogeomorphic processes. Finally, we advance the concept of biogeomorphic river restoration by proposing principles to support a closer synthesis of the component sciences and list key areas for practitioners to focus on. Vegetation succession has a significance that goes beyond its physical structure or influence on sediment stability. In many river settings, it is central to channel evolution. The coupled assembly of plant communities and fluvial landforms affect the development of spatially and temporally dynamic habitat through biogeomorphic interactions. Restoration approaches that do not fully consider this dynamic may fail to anticipate river behaviour and recovery trajectories.

Relationships, stability, and authenticity: How being yourself is ‘the’ key to community sport coaching and youth work

AbstractThe fields of youth work and community sport development both use participation in sport as a means by which to engage young people and support behavioural change. This is achieved through social intervention programmes (whether part of broader or specific approaches, or individual, group, or community contexts), that specifically address community and psychological wellbeing. While extensive bodies of literature support effective practices in both fields, there are fewer related to the intersubjectivity between them. Given, in the UK context at least, the crossover of funded programmes, objectives, and practice in an applied and policy sense, this study sought to investigate what practitioners in both fields considered best practice relative to how they facilitated appreciable changes in pro‐social behaviour and lifestyle trajectories. This study used semi‐structured interviews with nine participants who all had experience of working in both community sport coaching and youth work. The findings suggest that youth workers and community sport coaches can fashion effective practice through working climates that actively ensure stability and connections, and that authentic projection of self, one that means practitioners must care and have the interest of the young people at heart, are essential to create positive psychological change through meaningful relationships. Please refer to the Supplementary Material section to find this article's Community and Social Impact Statement.

Trajectories of adolescents' adjustment behaviors across the transition to upper secondary education: The role of individual and environmental factors

This longitudinal study examined the developmental trajectories of 901 Finnish adolescents' (M = 15.3 at T1, SD = 0.37) adjustment behaviors (prosocial behavior and externalizing problems) across the transition to upper secondary education. The role of adolescents' temperament and relationship with parents and teachers were investigated. Four trajectories of adjustment behaviors were distinguished: moderate prosocial and high externalizing (25.8 %), high prosocial and low externalizing (64.9 %), decreasing prosocial and increasing externalizing before the transition (7.4 %), decreasing prosocial and increasing externalizing after the transition (1.9 %). Adolescents' higher negative affectivity, lower effortful control, and less close and conflicting relationship with parents and teachers are positively associated with the trajectory of moderate prosocial behavior and high externalizing problems. In contrast, high effortful control, high closeness, and low conflict are positively associated with the trajectories of high prosocial and low externalizing problems as well as decreasing prosocial and increasing externalizing after the transition.

Self-care trajectories of patients with coronary heart disease: a longitudinal, observational study.

To determine if distinct trajectories of coronary heart disease (CHD) self-care behaviours could be identified, linked to differences in quality of life (QoL), and predicted based on baseline characteristics. A secondary analysis of a prospective, longitudinal, observational study. Patients with CHD answered questionnaires at study enrolment and six months later: Self-Care of Coronary Heart Disease Inventory (three subscales: maintenance, management, and confidence, scored 0-100, higher score = better self-care), Hospital Anxiety and Depression Scale, 12-Item Short Form Survey, 16-Item European Health Literacy Survey Questionnaire, and CHD Education Questionnaire. Latent growth mixture modelling was used to identify distinct self-care trajectories over time. On average, patients (n = 430, mean age 64.3 ± 8.9, 79% male) reported inadequate self-care (maintenance 61.6 ± 15.4, management 53.5 ± 18.5) at enrolment. Two distinct trajectories of self-care behaviours were identified: first, an 'inadequate-and-worsening' (IN-WORSE) trajectory (57.2%), characterized by inadequate self-care, improvement in maintenance (4.0 ± 14.5-point improvement, P < 0.001), and worsening of management over time (6.3 ± 24.4-point worsening, P = 0.005). Second, an 'inadequate-but-maintaining' (IN-MAIN) trajectory (42.8%), characterized by inadequate self-care, improvement in maintenance (5.0 ± 16.2-point improvement, P < 0.001), and stability in management over time (0.8 ± 21.9-point worsening, P = 0.713). In comparison, patients in the IN-WORSE trajectory had less favourable characteristics (including lower health literacy, knowledge, confidence) and significantly lower QoL. Not attending rehabilitation (OR 2.175; CI 1.020-4.637, P = 0.044) and older age (OR 0.959; CI 0.924-0.994, P = 0.024) predicted (IN-WORSE) trajectory inclusion. Two self-care trajectories were identified, both suboptimal. Rehabilitation predicted membership in the more favourable trajectory and some positive characteristics were identified among patients in that group. Therefore, interventions supporting these factors may benefit patients' self-care and QoL.

Multivariable degradation modeling and life prediction using multivariate fractional Brownian motion

In system prognostics and health management, multivariable degradation models have been widely developed to predict the life of complex systems using degradation data of multiple Performance Characteristics (PCs). Recent studies have detected a Long-Term Memory (LTM) effect among the degradation process of various PCs, implying a strong coupling phenomenon between the future degradation behavior and historical degradation trajectory. Although the LTM has been widely integrated into single-PC-based degradation modeling, it has not been considered in multi-PC-based scenarios. To capture LTM among multiple PCs, this article proposes a novel LTM-integrated Multivariate Degradation Model (MDM) for system life prediction based on multivariate fractional Brownian motion, which simultaneously incorporates the cross-correlation among different PCs. To estimate parameters of the LTM-integrated MDM, a maximum likelihood method is developed. Two likelihood-ratio hypothesis tests are developed to test the existence of the overall and individual LTM effect among multiple PCs. Both simulation studies and physical experiments on the performance degradation of solar energy conversion and storage devices are conducted to validate the proposed model. Results reveal that the proposed LTM-integrated MDM significantly outperforms existing MDMs in life prediction, while the lifetime uncertainty is heavily underestimated by those traditional approaches that neglect the LTM.

Study on Spatiotemporal Behavior of Self-driving Tourists in Inner Mongolia

Against the backdrop of normalized tourism and upgraded consumption, self-driving tours have become one of the main choices for tourists. Faced with the booming self-driving tour market, it is of great significance to explore the spatial behavior characteristics and temporal constraint factors of self-driving tourists within a geographical range using GPS trajectory data. This exploration aids in the planning and design of self-driving tour routes, tourism products, and promotes the healthy and sustainable development of the self-driving tour industry. This paper selects Inner Mongolia Autonomous Region as the self-driving tour hotspot area, collects GPS data of self-driving tourists from 2017 to 2022 on the online platform "Foooooot" using Python, and conducts in-depth exploration and comparative analysis of the spatiotemporal behavior trajectories of self-driving tourists, aiming to explore the spatiotemporal behavior characteristics of self-driving tourists and their constraining factors.

Joint effects of indoor air pollution and maternal psychosocial factors during pregnancy on trajectories of early childhood psychopathology.

Prenatal indoor air pollution and maternal psychosocial factors have been associated with adverse psychopathology. We used environmental-exposure mixture methodology to investigate joint effects of both exposure classes on child behavior trajectories. For 360 children from the South African Drakenstein Child Health Study, we created trajectories of Child Behavior Checklist scores (at 24, 42, and 60 months) using latent-class linear mixed effects models. Indoor air pollutants and psychosocial factors were measured during pregnancy (second trimester). After adjusting for confounding, single-exposure effects (per natural log-1 unit increase) were assessed using polytomous logistic regression models, joint effects using self-organizing maps, and principal component analysis. Three trajectories were chosen for both internalizing and externalizing problems, with "high" (externalizing) or "increasing" (internalizing) being the most adverse trajectories. High externalizing trajectory was associated with increased exposure to particulate matter of ≤ 10 microns in diameter (PM10) (odds ratio [OR] = 1.25; 95% CI, 1.01-1.55) and self-organizing maps exposure profile most associated with smoking (OR = 2.67; 95% CI, 1.14-6.27). Medium internalizing trajectory was associated with increased emotional intimate partner violence (OR = 2.66; 95% CI, 1.17-5.57), increasing trajectory with increased benzene (OR = 1.24; 95% CI, 1.02-1.51) and toluene (1.21; 95% CI, 1.02-1.44) and the principal component most correlated with benzene and toluene (OR = 1.25; 95% CI, 1.02-1.54). Prenatal exposure to environmental pollutants and psychosocial factors was associated with internalizing and externalizing child behavior trajectories. Understanding joint effects of adverse exposure mixtures will facilitate targeted interventions to prevent childhood psychopathology. This article is part of a Special Collection on Mental Health.

The effect of environmental variation on the relationship between survival and risk-taking behaviour in a migratory songbird.

Temporal changes in environmental conditions may play a major role in the year-to-year variation in fitness consequences of behaviours. Identifying environmental drivers of such variation is crucial to understand the evolutionary trajectories of behaviours in natural contexts. However, our understanding of how environmental variation influences behaviours in the wild remains limited. Using data collected over 14 breeding seasons from a collared flycatcher (Ficedula albicollis) population, we examined the effect of environmental variation on the relationship between survival and risk-taking behaviour, a highly variable behavioural trait with great evolutionary and ecological significance. Specifically, using annual recapture probability as a proxy of survival, we evaluated the specific effect of predation pressure, food availability, and mean temperature on the relationship between annual recapture probability and risk-taking behaviour (measured as flight initiation distance [FID]). We found a negative trend, as the relationship between annual recapture probability and FID decreased over the study years and changed from positive to negative. Specifically, in the early years of the study, risk-avoiding individuals exhibited a higher annual recapture probability, whereas in the later years, risk-avoiders had a lower annual recapture probability. However, we did not find evidence that any of the considered environmental factors mediated the variation in the relationship between survival and risk-taking behaviour.

Cumulative family risk and rural-to-urban migrant adolescent prosocial behavior: The moderating role of school belonging

The importance of prosocial behavior in helping migrant youths overcome challenges associated with relocating to urban settings has been emphasized. However, the trajectory of prosocial behavior in this population and the factors influencing it remain unclear. This study aimed to investigate the influence of cumulative family risk on the growth trajectory of prosocial behavior among Chinese rural-to-urban migrant adolescents from 7th grade to 8th grade. Additionally, it delved into the moderating role of school belonging in the relationship between cumulative family risk and prosocial development. The participants in this study included rural-to-urban migrant adolescents (Mean age = 13.52, SD = 1.23, N = 844) and their parents. Outcomes from latent growth curve modeling revealed that migrant adolescents displayed intra-individual increases in prosocial behavior during the transition from 7th grade to 8th grade, while cumulative family risk had a negative influence on these changes. Nevertheless, the adverse impact of cumulative family risk on prosocial development was alleviated for adolescents who reported a heightened sense of belonging within the school environment. These findings underscore the protective role of school belonging in the prosocial development of migrant adolescents, especially for those facing elevated cumulative family risk.

Analysis of the stochastic perturbed Schrödinger–Hirota equation with Kerr law in the presence of spatio-temporal dispersion with bifurcation and chaotic phenomena along with soliton solutions

The goal of this work is to use the complete discriminant system (CDS) of the polynomial method (CDSPM) to provide soliton solutions for the perturbed Schrödinger–Hirota equation (PSHE) with the Kerr law by taking the stochastic into consideration. We examine exact and analytical solutions, such as those for the hyperbolic function, trigonometric function, Jacobian elliptic function (JEF), and other solitary wave (SW) solutions. Moreover, we also analyze the qualitative analysis of the governing model by using the terms of chaos and bifurcation. The trajectories of chaotic behavior show exponential divergence, which indicates that small changes in the initial circumstances cause the trajectories to become widely separated and divergent over time. We also discuss the phase portraits, which are useful in figuring out if the system’s equilibrium points are stable. Finally, we examine our governing model’s sensitivity analysis under different initial conditions. Sensitivity analysis measures a system’s or model’s robustness or sensitivity to changes in its input variables. Furthermore, we have included a number of graphs that clearly show the impact of the white noise so that you can better comprehend our results. The white noise effect is a distinct pattern of random fluctuations that may be seen in a variety of systems and incidents. It is distinguished by a uniform distribution of frequencies throughout the spectrum, resulting in a continuous and uncorrelated signal.

Prenatal maternal negative life events associated with child emotional and behavioral problems in the French EDEN cohort

IntroductionPrenatal negative life events (NLEs) have been linked to adverse health outcomes in children. However, few studies examine this relationship during late childhood using trajectory analyses. Additionally, the impact of specific NLEs domains on child development remains unclear. This study aims to longitudinally explore the association between NLEs (cumulative score and specific NLEs domains) and child outcomes from birth to late childhood. Methods1135 mother-child pairs from the French EDEN cohort were followed from 24 to 28 weeks of pregnancy up to 11 years of age. Maternal self-reports of prenatal NLEs were collected immediately after birth, then analyzed as a cumulative score and by NLEs domain. Children's emotional and behavioral symptoms were assessed at 4 timepoints through the Strengths and Difficulties Questionnaire. ResultsChildren of mothers exposed to ≥3 NLEs were more likely to follow trajectories of high levels of peer relationship problems (aOR [95 % CI] = 5.69 [1.74–18.69]), emotional symptoms (aOR [95 % CI] = 3.05 [1.08–8.63]), and conduct problems (aOR [95 %] = 3.53 [1.20–10.42]). Among the domains of NLEs, only events related to housing, finance, and living conditions were significantly associated with high emotional and behavioral difficulties trajectories (aOR [95%CI] = 2.71[1.26–5.81]). LimitationsPotential attrition bias due to a higher dropout rate for children experiencing early indications of emotional and behavioral difficulties. ConclusionFindings support the relationship between prenatal NLEs and child outcomes, underscoring the importance of assessing prenatal stressors across life domains to identify mothers who might be in need of support.

HICL: Hierarchical Intent Contrastive Learning for sequential recommendation

Users’ diverse intentions drive the subsequent interaction based on users’ dynamic behavior trajectories. Despite the impressive progress of existing work on capturing the user’s intent, these methods still have the following challenges: (1) How can the intent effectively be exploited in sparse and long-distance interacted items? (2) How to improve the performance of a recommendation system by fusing spatial and temporal information? To further exploit the intent from local and global contexts, we present a novel recommendation framework, namely hierarchical intent Contrastive Learning (HICL) for SR. First, a graph encoder is employed to enhance item embedding by incorporating global context information. And then, the sequential encoder is leveraged as a prediction baseline from a historical perspective. Moreover, diverse intent Contrastive Learning branches are integrated to model user latent by utilizing a new loss function. Specifically, sequence contrastive learning (CL) employs sequence augment to model the users’ local intent, while graph CL employs graph augment and feature clustering to model the users’ global latent from semantic and structural graph views. Extensive experiments are conducted on four real-world datasets, including highly sparse datasets, and the experiment results demonstrate the superiority of our model over the state-of-the-art.

Engagement with Radical Propaganda drives Cognitive Radicalization: An Analysis of a Right-Wing Online Ecosystem

Cognitive radicalization remains an issue for communities battling terrorism. Recent empirical investigations into the psycho-social processes involved with radicalization have revealed social exclusion, cognitive inflexibility, and perceived threats to an ingroup as significant predictors for one’s propensity to engage with radical content and commit to offline behaviors. This study investigates the utility of user engagement and the proxy effect on cognitive radicalization by examining users’ engagement with a radical-right online ecosystem. The study supported the assumption that content featuring outgroup prejudice would affect the cognitive radicalization process. Several results demonstrate the importance of user engagement in the process of radicalization. In this analysis, they support an engagement-dependent framework where individual posts carry higher radicalization likelihoods based on the amount of user engagement they receive. These findings have an implication for future research into a user’s behavioral trajectories, from viewing and engaging with content to joining a radical group or committing offline violence against their communities and perceived outgroups.

Is the 21st birthday a turning point for alcohol and cannabis use? A monthly study of young adults.

An important life-course event with respect to alcohol and cannabis use is turning 21 years of age, which may be associated with increases in use of these substances due to celebrations during the month and easier access to them on and following this birthday. We examined the trajectories of alcohol and cannabis use behaviors in the months leading up to, during, and following the 21st birthday month. We also examined whether the use trajectories vary by college status and baseline levels of use. We used data from 203 young adults recruited from the Greater Seattle region who turned 21 during the course of the study. Surveys were administered each month for 24 consecutive months. Measures included the typical number of drinks per week for the past month, the frequency of heavy episodic drinking, the number of cannabis use days, and any simultaneous alcohol and cannabis use. Multilevel spline models were run that estimated linear slopes over time at four intervals: (1) up to 1 month before the 21st birthday month; (2) from 1 month before to the month of the 21st birthday; (3) from the 21st birthday month to 1 month following; and (4) from 1 month following the 21st birthday month through all following months. Alcohol use, generally, and simultaneous alcohol and cannabis use showed sharp increases from the month before the 21st birthday month to the 21st birthday month and decreases following the 21st birthday month. For cannabis use, there were significant increases in the months leading up to the 21st birthday and no other significant changes during other time intervals. Patterns differed by baseline substance use and college status. Findings from the current study have implications for the timing and personalization of prevention and intervention efforts. Event-specific 21st birthday interventions may benefit from incorporating content targeting specific hazardous drinking behaviors in the month prior to the 21st birthday.

The importance of quantifying fitness-determining traits throughout life to assess the application of reproductive technologies for amphibian species recovery

The application of reproductive technologies to amphibian conservation breeding programs is gaining momentum and the field is poised to contribute significantly toward amphibian species recovery. We briefly discuss the opportunities for reproductive technologies to enhance conservation breeding outcomes, including their potential to enhance the genetic management, and in turn, the fitness of threatened species. Despite this potential, an important consideration that is not yet well understood is the degree to which specific reproductive technologies might influence (either enhance, or in some instances potentially decrease) individual fitness and lead to shifts in population viability. The development of a standardised approach to monitoring offspring throughout life-stages to detect changes to morphology, behaviour, physiology, survivorship, and developmental trajectories is essential. The primary focus of this review is to provide a ‘best-practise’ framework for quantifying key fitness determining traits expected to contribute to the fitness of individuals and long-term viability of populations, which will ultimately allow us to progress the field of amphibian reproductive technologies and assess the impact of protocol refinement.

Neighborhood disadvantage and parenting predict longitudinal clustering of uncinate fasciculus microstructural integrity and clinical symptomatology in adolescents

Parenting behaviors and neighborhood environment influence the development of adolescents’ brains and behaviors. Simultaneous trajectories of brain and behavior, however, are understudied, especially in these environmental contexts. In this four-wave study spanning 9–18 years of age (N=224 at baseline, N=138 at final assessment) we used longitudinal k-means clustering to identify clusters of participants with distinct trajectories of uncinate fasciculus (UF) fractional anisotropy (FA) and anxiety symptoms; we examined behavioral outcomes and identified environmental factors that predicted cluster membership. We identified three clusters of participants: 1) high UF FA and low symptoms (“low-risk”); 2) low UF FA and high symptoms (“high-risk”); and 3) low UF FA and low symptoms (“resilient”). Adolescents in disadvantaged neighborhoods were more likely to be in the resilient than high-risk cluster if they also experienced maternal warmth. Thus, neighborhood disadvantage may confer neural risk for psychopathology that can be buffered by maternal warmth, highlighting the importance of considering multiple environmental influences in understanding emotional and neural development in youth.