Developmental Trajectories Research Articles

Perinatal adversities as a common factor underlying the association between atypical laterality and neurodevelopmental disorders: A developmental perspective.

Several neurodevelopmental disorders are associated with a higher prevalence of atypical laterality (e.g., left-handedness). Both genetic and non-genetic factors play a role in this association, yet the underlying neurobiological mechanisms are largely unclear. Recent studies have found that stress, mediated by the hypothalamic-pituitary-adrenal (HPA) axis, could be linked to laterality development. These findings provide an opportunity to explore new theoretical perspectives on the association between atypical laterality and neurodevelopmental disorders. This article aims to provide a theoretical framework demonstrating how perinatal adversities could disrupt the typical developmental trajectories of both laterality and neurodevelopment, potentially impacting both the HPA axis and the vestibular system. Additionally, we argue that the relationship between atypical laterality and neurodevelopmental disorders cannot be understood by simply linking genetic and non-genetic factors to a diagnosis, but the developmental trajectories must be considered. Based on these ideas, several perspectives for future research are proposed.

TERRITORY'S INNOVATION ECOSYSTEM: TOOLS FOR MANAGING DEVELOPMENT IN THE DIGITAL ENVIRONMENT

Purpose of the study. The innovation ecosystem of the territory was set to be the format of adaptation of the regional innovation system to the digital environment. This management model is rapidly developing, based on the generalization of empirical experience and multidirectional theoretical research. However, the diversity of management concepts requires building a logical relationship in terms of their application to ensure the successful operation of the ecosystem. Therefore, the purpose of this article is to substantiate management approaches and tools that contribute to improving the performance of the territory's innovation ecosystem in the digital environment. Conclusions. It is proposed to use the model for assessing its maturity as an information basis for managing the development of the territory's innovation ecosystem. A comparative analysis of approaches to the assessment of ecosystem maturity has been carried out. The key aspects of assessment are defined, and the expediency of building a structured dynamic complex of assessment models is substantiated. Promising models of ecosystem management (hybrid orchestration, multi-orchestration, multi-tier orchestration) are identified, which allow for non-hierarchical coordination of relatively independent partners in the process of creating a common value. The landscape of trajectories of possible development of the innovation ecosystem of the territory is constructed, which defines a controlled transition between possible states depending on the ratio of maturity levels of each of the participants and the ecosystem as a whole. The importance of taking risks into account for the possibility of realizing the optimal development trajectory is emphasized. A methodological approach to ecosystem risk assessment is proposed, combining: 1) a map of risks of the territory's innovation ecosystem, structured by life cycle stages and management level (an individual participant and the ecosystem as a whole), 2) risk ranking based on the assessment of their impact on the performance indicators of the territory's innovation ecosystem.

Tracking Listening Skill Development in Infants and Children with Hearing Loss: A Normative Dataset for the Functional Listening Index-Paediatric (FLI-P®).

Longitudinal studies highlight the importance of early intervention and timely device fitting for language development in children with congenital or early acquired hearing loss. Due to the variability in hearing loss, comorbidities, family circumstances, and service access, individualised monitoring of listening development is essential to inform decision-making. The Functional Listening Index-Paediatric (FLI-P), a 64-item hierarchical checklist of listening skills, has been validated for children with hearing loss aged 0-6 years. This study aimed to develop benchmarks for the FLI-P in typically hearing children, allowing for comparison with individual children with hearing loss. FLI-P scores were obtained from parents/caregivers of 561 typically hearing children aged 0-72 months. Each child's FLI-P score was categorised into a 6-month age block, with a minimum of 36 data points per block. Quantile regression was employed to establish percentiles of FLI-P scores by age. FLI-P scores were successfully recorded for all 561 children. Regression analysis determined that the 16th and 84th percentiles of FLI-P scores corresponded to approximately ±1 standard deviation from the median score for each age group. A graphical representation of these percentile trajectories was created to facilitate comparison between children with hearing loss and the normative data. A normative dataset of FLI-P scores from typically hearing children has been established, allowing for comparisons with the scores and developmental trajectories of individual children with hearing loss. The study demonstrates how FLI-P can guide early intervention decisions and effectively monitor progress.

Advancing Research on Proprotein Convertase Subtilisin/Kexin Type 9 Inhibitors: A Scientometric Analysis.

Atherosclerosis is characterised by the accumulation of fatty deposits and plaque as a result of a continuously high level of low-density lipoprotein cholesterol (LDL-C) in the blood. The primary objective of this research is to assess the current status of knowledge, research endeavours and developmental trajectories about proprotein convertase subtilisin/kexin type 9 (PCSK9) inhibitors in correlation with atherosclerosis treatment. Additionally, this study aims to compile bibliometric and scientometric investigations within this domain through rigorous scientometric analysis. Analysing the bibliometric landscape and global research trends associated with PCSK9 inhibitors can contribute valuable insights into comprehending atherosclerosis. This is exemplified by examining publications within the Web of Science Core Collection (WOSCC) database from 2008 to 2022. Citespace was used for frequency, co-occurrence, co-citation, grouping and burst analysis, and Microsoft Excel was used to manage descriptive datasets. Eight hundred eighty-five publications available from WOSCC database between the years 2008 and 2022 were extracted and examined. Over the period, 3,138 collaborating institutions from 87 countries, a staggering 7,750 writers involved and 325 distinct journals published about PCSK9 inhibitors studies. Among authors, Sabatine et al. and the journal The New England Journal of Medicine has had the most significant impact. Lipid-lowering therapy and bempedoic acid are the most prominent topical clusters associated with PCSK9 inhibitors, and the most often used keywords are efficacy, safety and PCSK9 inhibitors. We believe this is the first comprehensive analysis of PCSK9 inhibitors research and publications conducted using Scientometric. These results demonstrate the nascence of PCSK9 inhibitors research. They may encourage a wide range of stakeholders, particularly early career researchers from various disciplines, to work together in the future.

A Comprehensive Bibliometric Analysis Content Mapping of English Language Teaching as the Second Language in Arab Countries

This bibliometric analysis maps patterns in the literature on English language teaching (ELT) in Arab countries from 2000 to 2024. and provides a quantitative mapping of the research status, trends, and developmental trajectories in this domain. A total of 512 journal articles were analyzed using scientometric techniques. Data across social science, arts, and humanities publications were retrieved from Scopus. The results establish the genesis and growth patterns, collaborative networks, influential contributors, conceptual themes, and knowledge gaps that characterize ELT research in the Arab region. Key findings show: (1) Publications grew by 24% annually, accelerating across three stages: the initial, developmental, and rapid expansion. Research has concentrated on the education and linguistics fields. (2) Saudi Arabia led to productivity, while Lebanon, Yemen, and Morocco achieved the highest citation impact. Cross-country collaboration remains limited, although it has increased in China. The most prolific authors were ELYAS and AL-AHDAL. Core journals included System and Language Learning; (3) Foundational keywords like “English language teaching” persisted prominently, while terms like “Saudi EFL learners” and “EFL writing” gained prominence, signaling rising localization. However, the integration of sociocultural dimensions is limited. This study provides empirical guidance for future research policies and strategies. This study aims to advance impactful ELT scholarship tailored to the Arab context.

Land use land cover change in the African Great Lakes Region: a spatial–temporal analysis and future predictions

The African Great Lakes Region has experienced substantial land use land cover change (LULCC) over the last decades, driven by a complex interplay of various factors. However, a comprehensive analysis exploring the relationships between LULCC, and its explanatory variables remains unexplored. This study focused on the Lake Kivu catchment in Rwanda, analysing LULCC from 1990 to 2020, identifying major variables, and predicting future LULC scenarios under different development trajectories. Image classification was conducted in Google Earth Engine using random forest classifier, by incorporating seasonal composites Landsat images, spectral indices, and topographic features, to enhance discrimination and capture seasonal variations. The results demonstrated an overall accuracy exceeding 83%. Historical analysis revealed significant changes, including forest loss (26.6 to 18.7%) and agricultural land expansion (27.7 to 43%) in the 1990–2000 decade, attributed to political conflicts and population movements. Forest recovery (24.8% by 2020) was observed in subsequent decades, driven by Rwanda’s sustainable development initiatives. A Multi-Layer Perceptron neural network from Land Change Modeler predicted distinct 2030 and 2050 LULC scenarios based on natural, socio-economic variables, and historical transitions. Analysis of explanatory variables highlighted the significant role of proximity to urban centers, population density, and terrain in LULCC. Predictions indicate distinct trajectories influenced by demographic and socio-economic trends. The study recommends adopting the Green Growth Economy scenario aligned with ongoing conservation measures. The findings contribute to identifying opportunities for land restoration and conservation efforts, promoting the preservation of Lake Kivu catchment’s ecological integrity, in alignment with national and global goals.Graphical

China's Foreign Investment Law and TRIMs Agreement: Conflicts, Amendments, and Applications

This article explores the developmental trajectory of China's Foreign Investment Law and its consistency issues with the WTO TRIMs Agreement. Covering four developmental stages from 1979 to 2020, it provides a detailed account of the evolution and amendments of China's legal framework on foreign investment. The article identifies inconsistencies in national treatment, elimination of quantitative restrictions, and transparency principles, analyzing adjustments and revisions made across these stages to align with international trade environments and WTO requirements. Despite significant progress, the article highlights areas for further improvement, such as the implementation of national treatment principles and resolution of transparency issues.

Addressing localized thermal comfort needs of the human body through advanced personal thermal management garments design and evaluation

Personal thermal management clothing has garnered significant attention in recent years for offering innovative solutions to address extreme environments. By examining the “human-clothing-environment” system, we have analyzed the contribution and developmental trajectory of personal thermal management clothing, considering the diverse human needs and application environments. Local variations in human physiology necessitate localized thermal comfort solutions provided by personal thermal management clothing. Despite advancements, many Personal thermal management garments still encounter challenges such as bulky size, heavy weight, intricate donning process, subpar performance, limited temperature control, and low durability. Furthermore, aspects like comfort, ergonomics, and aesthetics, tailored to specific usage scenarios, have often been overlooked. Enhancing the standardized design and evaluation processes for personal thermal management clothing items is crucial to better cater to individual preferences and usage demands, offering recommendations for development to align with individual requirements, enhance effectiveness, and promote energy conservation.

Mapping the developmental structure of stereotyped and individual-unique behavioral spaces in C. elegans

Developmental patterns of behavior are variably organized in time and among different individuals. However, long-term behavioral diversity was previously studied using pre-defined behavioral parameters, representing a limited fraction of the full individuality structure. Here, we continuously extract ∼1.2 billion body postures of ∼2,200 single C.elegans individuals throughout their full development time to create a complete developmental atlas of stereotyped and individual-unique behavioral spaces. Unsupervised inference of low-dimensional movement modes of each single individual identifies a dynamic developmental trajectory of stereotyped behavioral spaces and exposes unique behavioral trajectories of individuals that deviate from the stereotyped patterns. Moreover, classification of behavioral spaces within tens of neuromodulatory and environmentally perturbed populations shows plasticity in the temporal structures of stereotyped behavior and individuality. These results present a comprehensive atlas of continuous behavioral dynamics across development time and a general framework for unsupervised dissection of shared and unique developmental signatures of behavior.

Analysis of Key Events to Economic Growth in Thailand's History

In recent decades, Thailand has made a lot of efforts to achieve a rapid economy increase, and completed the transition from agricultural production to industrialization. Thailands economic journey has seen significant reforms, challenges, and changes, closely intertwined with global economic changes and domestic policies. This article examines Thailand's economic trajectory from the 1960s to the present day, focusing on pivotal events such as the economic reforms of the 1960s, the Asian financial crisis in 1997, and the growth of the tourism sector since the 1980s. By examining these key historical moments, it aims to uncover the fundamental principles and trends that have influenced Thailand's economic development trajectory. Through an analysis of their impacts on economic growth, this study identifies lessons gleaned from both successes and setbacks. It highlights the significance of adaptive economic policies, resilience in the face of external shocks, and the role of sectoral diversification in fostering sustainable growth.

Knowledge Graph of Low-Carbon Technologies in the Energy Sector and Cost Evolution Based on LDA2Vec: A Case Study in China

Climate change has attracted global attention, highlighting the critical role of low-carbon technologies in addressing environmental challenges. Due to the multidisciplinary nature, complexity, and diversity of research content on low-carbon technologies, a comprehensive overview is still limited. This paper uses bibliometrics analysis to discuss the research status and hotspots of low-carbon technology from a macro-perspective. The LDA2Vec topic recognition model is adopted to identify key technical terms, and CiteSpace software 6.3.1 Advanced Edition is used to conduct in-depth analysis of the development trajectory of low-carbon technology. After checking the frequency of the relevant keywords, four key techniques were identified. In order to further analyze the research results, the learning curve theory is used to predict the cost development trend of key low-carbon technologies. The results show that: (i) low-carbon technologies play a key role in the energy sector and have a potential impact on policy making, and the cost of related technologies will be significantly reduced in the next few years. (ii) Global low-carbon technologies have entered an important period of development, but remaining challenges need to be addressed by optimizing technological performance. (iii) It is very important to strengthen the research on hydrogen production technology and photovoltaic power generation technology; the cost reduction in hydrogen production technology is still significant and there is room for further optimization. (iv) To effectively address the high costs and technical barriers associated with emerging low-carbon technologies, increased funding for research and development is critical.

Integrated Energy Systems Modeling with Multi-Criteria Decision Analysis and Stakeholder Engagement for Identifying a Sustainable Energy Transition

The aim of this paper is to present a decision support system (DSS) to capture the complexity of the transition of a national energy system to net zero in the context of multiple sustainability themes. The paper proposes an integrated assessment framework that combines dynamic systems modeling, sustainability indicators, and multi-criteria decision analysis (MCDA) with direct stakeholder involvement. To illustrate the use of the DSS, the paper compares bundles of climate change policies that aim to decarbonize the road transport sector in Iceland. Eighteen scenarios and alternative development trajectories are defined for the Icelandic energy system based on a combination of three main driving forces. These are, firstly, economic development (three cases); secondly, changes in energy efficiency (two cases); and finally, three climate policy bundles aimed at increasing the share of electric vehicles. Based on the results from the integrated assessment framework, the performance scores of the climate policy bundles are compared across the following five sustainability themes: social impact; economic development; environmental impact; energy security; and technical aspects. The findings confirm that a different conclusion may be reached when multiple sustainability themes are applied in the selection of preferred policy bundles as compared to conventional techno-economic criteria. Banning the registration of fossil-fueled vehicles, combined with economic instruments, offers the best decarbonizing strategy to reach climate and energy policy goals simultaneously.

Examining Self-Regulation and Problematic Smartphone Use in Canadian Adolescents: A Parallel Latent Growth Modeling Approach.

Despite extensive research on the prevalence and mental health implications of problematic smartphone use in adolescents, the cognitive mechanisms underpinning its development, such as self-regulation, remain underexplored. This study aims to fill this research gap by investigating the developmental trajectories of self-regulation and problematic smartphone use among Canadian adolescents. Participants (N = 1303; 614 girls; Mage = 14.60 years, SD = 1.16 years) attended one of five public high schools in Southern British Columbia. Adolescents self-reported their self-regulation skills, as well as problematic smartphone use annually for three years. In line with developmental expectations, results indicated that both self-regulation and problematic smartphone use increased across the three years. Parallel latent growth models revealed significant intercept and positive slope differences for self-regulation and problematic smartphone use, showing that higher initial self-regulation predicted lower initial problematic smartphone use, and vice versa. Girls exhibited higher initial levels of problematic smartphone use, but gender differences in developmental trajectories were not observed. These findings emphasize the importance of early self-regulation skills in preventing the escalation of problematic smartphone use in adolescents, providing evidence-based insights for developing targeted interventions.

Cisplatin induced alterations in nociceptor developmental trajectory elicits a TrkA dependent platinum-based chemotherapy induced neuropathic pain

Cisplatin-based chemotherapy is a common treatment for paediatric cancer. Unfortunately, cisplatin treatment causes neuropathic pain, a highly prevalent adverse health related complication in adult childhood cancer survivors. Due to minimal understanding of this condition, there are currently no condition tailored analgesics available. Here we investigated an alteration in nociceptor maturation that results in neuronal sensitisation and manifestation of cisplatin induced survivorship pain in a TrkA dependent manner. Cisplatin was administered (i.p. 0.1 mg/kg Postnatal day 14 and 16) to neonatal male and female Wistar rats and nociceptive behavioural assays were performed. In vitro studies utilised isolated neonatal dorsal root ganglia sensory neurons treated with cisplatin (5 μg/ml) to elucidate impact upon nociceptor activation and neurite growth, in combination with TrkA inhibition (GW441756 10 nM and 100 nM). Cisplatin treated male and female neonatal Wistar rats developed a delayed but lasting mechanical and heat hypersensitivity. Cisplatin administration led to increased TrkA expression in dorsal root ganglia sensory neurons. Nerve growth factor (NGF) induced TrkA activation led to sensory neuritogenesis and nociceptor sensitisation, which could be prevented through pharmacological TrkA inhibition (GW441756 either s.c. 100 nM or i.p. 2 mg/kg). Administration of TrkA antagonist suppressed cisplatin induced TRPV1 mediated nociceptor sensitisation and prevented cisplatin induced neuropathic pain. These studies provide greater understanding of the underlying mechanisms that cause cisplatin induced childhood cancer survivorship pain and allowing identification of potential therapeutic targets.

Development of metacognitive monitoring and control skills in elementary school: a latent profile approach

AbstractThis study aims to understand individual differences between children in metacognitive monitoring and control processes and the developmental trajectories of metacognition over one year. Three indicators of procedural metacognition were used: monitoring accuracy (discrimination of confidence judgments between correct and incorrect test responses), effective restudy selections, and accuracy of response maintenance/withdrawal decisions. These indicators were measured for two tasks (text comprehension and Kanji memory) at two measurement points one year apart. Participants were 151 second graders (M age 7.61 years) and 176 fourth graders (M age 9.62 years). With latent profile analyses, distinct metacognition profiles were found for both grade levels at both measurement points. Children showed heterogeneity in the proficiency of metacognition but also in the extent to which metacognitive skills were generalizable across the two tasks. For second-grade children, being low at metacognition at the first measurement point was not associated with extra risks for low metacognition one year later. However, for fourth graders, children with low metacognitive skills appeared likely to stay low in metacognition over time and particularly showed ineffective restudy decisions. This indicates that they seemed at risk for a longer-term metacognitive deficiency. Findings may improve understanding of the heterogeneity of metacognition and support distinguishing typical from at-risk metacognitive development.

Cerebral blood flow alterations and host genetic association in individuals with long COVID: A transcriptomic-neuroimaging study.

Neuroimaging studies have indicated that altered cerebral blood flow (CBF) was associated with the long-term symptoms of postacute sequelae of SARS-CoV-2 infection (PASC), also known as "long COVID". COVID-19 and long COVID were found to be strongly associated with host gene expression. Nevertheless, the relationships between altered CBF, clinical symptoms, and gene expression in the central nervous system (CNS) remain unclear in individuals with long COVID. This study aimed to explore the genetic mechanisms of CBF abnormalities in individuals with long COVID by transcriptomic-neuroimaging spatial association. Lower CBF in the left frontal-temporal gyrus was associated with higher fatigue and worse cognition in individuals with long COVID. This CBF pattern was spatially associated with the expression of 2,178 genes, which were enriched in the molecular functions and biological pathways of COVID-19. Our study suggested that lower CBF is associated with persistent clinical symptoms in long COVID individuals, possibly as a consequence of the complex interactions among multiple COVID-19-related genes, which contributes to our understanding of the impact of adverse CNS outcomes and the trajectory of development to long COVID.

Developmental changes in numerosity and area perception in school-age children

Humans can quickly estimate the quantity of objects in their environment through the Approximate Number System (ANS). However, the developmental trajectories of numerical and spatial perception in school-aged children are not well understood. This study aimed to address this issue by examining the performance of 7-year-olds, 9-year-olds, and 11-year-olds in the dot-number and dot-area tasks. In each trial, participants were presented with pairs of dots array simultaneously and were asked to indicate which array had a greater quantity of dots in the dot-number task, and which array had a larger overall area of dots in the dot-area task. We manipulated number cues and area cues of the dots array in these two tasks, creating three different relationships between dot-number and dot-area: congruent, neutral, and incongruent. Our results showed school-aged children's ability to estimate numerosity improved significantly after the age of 7, with no apparent improvement observed between the ages of 9 and 11. This indicates a marked growth in acuity in the perception of numerical quantities. Conversely, the capacity to estimate area showed consistent stability across the various age groups examined. Additionally, our results demonstrated a pronounced difficulty among participants in ignoring numerical cues when assessing dot quantity or dot area, as opposed to non-numerical cues. This highlights a preferential sensitivity to numerical information in cognitive processing. These findings provide valuable insights into the cognitive development underlying quantity perception and may offer practical guidance for educational practices.

Bilingualism and second-order theory of mind development in autistic children over time: Longitudinal relations with language, executive functions, and intelligence.

Theory of Mind has long been studied as a core weakness in autism spectrum disorder due to its relationship with social reciprocity, while bilingualism has been shown to compensate for autistic individuals' mentalizing weaknesses. However, our knowledge of the Theory of Mind developmental trajectories of bilingual and monolingual autistic children, as well as of the factors related to Theory of Mind development in autism spectrum disorder is still limited. The current study has examined first- and second-order Theory of Mind skills in 21 monolingual and 21 bilingual autistic children longitudinally across three time points, specifically at ages 6, 9, and 12, and also investigated associations between Theory of Mind trajectories and trajectories of the children's language, intelligence and executive function skills. The results reveal that bilingual autistic children outperformed their monolingual peers in second-order Theory of Mind at ages 9 and 12, and that intelligence and, especially, expressive vocabulary skills played a pivotal role in advancing bilingual autistic children's second-order Theory of Mind development. On the other hand, monolingual autistic children only managed to capitalize on their language and intelligence resources at age 12. The findings highlight the importance of investigating bilingualism effects on autistic children's advanced cognitive abilities longitudinally.

The rise of electrically tunable metasurfaces.

Metasurfaces, which offer a diverse range of functionalities in a remarkably compact size, have captured the interest of both scientific and industrial sectors. However, their inherent static nature limits their adaptability for their further applications. Reconfigurable metasurfaces have emerged as a solution to this challenge, expanding the potential for diverse applications. Among the series of tunable devices, electrically controllable devices have garnered particular attention owing to their seamless integration with existing electronic equipment. This review presents recent progress reported with respect to electrically tunable devices, providing an overview of their technological development trajectory and current state of the art. In particular, we analyze the major tuning strategies and discuss the applications in spatial light modulators, tunable optical waveguides, and adaptable emissivity regulators. Furthermore, the challenges and opportunities associated with their implementation are explored, thereby highlighting their potential to bridge the gap between electronics and photonics to enable the development of groundbreaking optical systems.

Trajectories of childhood bullying behaviors and conduct problems: Associations with cognitive functioning in a nationally representative cohort study.

Bullying behaviors and conduct problems are two forms of antisocial behavior that frequently co-occur in childhood. However, it remains unclear whether their developmental trajectories are distinct and the extent to which different aspects of cognitive functioning account for their development. We aimed to disentangle the developmental trajectories of bullying behaviors and conduct problems, test their interrelations across childhood, and assess associations with children's early cognitive functioning (executive functions, intelligent quotient [IQ], and theory of mind). Participants included 2,232 children from the Environmental Risk (E-Risk) Longitudinal Twin Study. We performed dual group-based trajectory modeling on combined parent and teacher reports of children's bullying behaviors and conduct problems at 5, 7, 10, and 12 years. We assessed associations with age 5 cognitive functioning using regression analyses. We identified five developmental trajectories for bullying behaviors and four for conduct problems. The developmental course of both behaviors was interrelated most strongly among those with high levels. A subgroup of children was likely to transition from conduct problems to bullying behaviors as they got older. Lower IQ was associated with both antisocial behavior trajectories, whereas lower theory of mind was only associated with conduct problems trajectories. The developmental course of bullying behaviors and conduct problems is distinct but linked across childhood. Interventions targeting bullying behaviors or conduct problems could benefit from more integration and should take into account children's cognitive functioning. (PsycInfo Database Record (c) 2024 APA, all rights reserved).