Adaptive Profile Research Articles

Profiles of the parenting experience in families of autistic children.

Research shows that parents of autistic children, on average, are stressed; however, there is likely an array of factors that characterize the parenting experience in the context of autism other than stress. Understanding the diversity in the parenting experiences of both mothers and fathers of autistic children is important in the development of family-based intervention. A total of 188 co-habiting couples with an autistic child described their parenting experiences using a series of questionnaires examining their feelings of stress, parenting competence, and parenting attitudes and behaviors. We then sorted responses into profiles-three for mothers and four for fathers. We found that children of parents who reported the least amount of stress, highest feeling of competence, and use of responsive and directive parenting strategies (the Adaptive profile) had children with the least severe behavioral problems and autism symptoms. It was not necessary for both parents to be in the Adaptive category for child emotional and behavioral problems to less severe. We found that children did just as well when one parent was Adaptive compared with when both parents fell into this category.

Adaptive and Reliable Multi-Risk Assessment and Management Control Strategy for Autonomous Navigation in Dense Roundabouts

This paper proposes a Multi-Risk Assessment and Management Control Strategy (MRAM-CS) allowing autonomous vehicles (called Ego-Vehicles (EVs) in what follows) to apply an adaptive trajectory planning, computed online, to navigate safely in dense roundabouts. The EV is able to insert itself into a roundabout while considering its curved paths and the presence of dense traffic flow. The EV must also navigate and insert itself safely even between close following vehicles if a safe solution is found. A safety distance with the most dangerous obstacles of the identified groups of obstacles-vehicles (OVs), is monitored by the appropriate use of the Predicted Inter-Distance Profile (PIDP) Bellingard et al. (2021) metric and its controlled minimum (mPIDP). The proposed control is based on an adaptive PD controller where the parameters are obtained from a regression model to always guarantee an appropriate curvilinear safety margin between all the surrounded group of obstacles. A fuzzy fusion process is also used to manage multiple OVs and apply an adaptive speed profile along a known path based on flexible defined Limit-Cycles Adouane (2017). Several simulations are performed to demonstrate the reliability and the safety of the overall proposed control architecture. Several simulations are performed to demonstrate the reliability and the safety of the overall proposed control architecture.

Adapting to Evolving Cyber Threat Landscapes with Dynamic Security Protocol Management in Large-Scale IoT Sensor Networks

The Adaptive Security Protocol Framework (ASPF) is introduced as a sophisticated algorithm designed for dynamic security protocol adaptation in large-scale IoT sensor networks. Comprising five integral algorithms, namely ASPF, MLTD, DKMS, BAP, and CTIS, the framework ensures a comprehensive and adaptive defense mechanism against evolving cyber threats. ASPF initiates with data collection, preprocessing, and feature extraction, employing supervised learning for model training. Anomaly detection triggers alerts and responses, guiding continuous learning and security protocol adaptation. MLTD enhances real-time threat detection through dynamic model training and threat intelligence integration. DKMS focuses on secure key management for data transmissions, calculating device thresholds and ensuring adaptive key exchanges. BAP leverages historical data for behavioral profiling, enabling real-time anomaly detection and adaptive profile updates. CTIS assesses and aggregates threat levels, fostering continuous collaboration and collective defense. The ablation study emphasizes the indispensable role of each algorithm, showcasing their synergistic contributions to the overall system's adaptability and robustness. Evaluation through comprehensive tables and visual representations highlights the proposed method's superiority over existing security protocols. The ablation study underscores the holistic nature of ASPF, solidifying its efficacy in addressing the dynamic challenges of cybersecurity in large-scale IoT sensor networks.

English-as-a-Foreign-Language Teachers’ Beliefs and Coursebook Adaptation Practices: A Latent Profile Analysis

This study reports on English-as-a-foreign-language teachers’ beliefs about coursebooks and their adaptation profiles; it also unveils the demographic characteristics that differentiate the profiles. Responses from 3654 Chinese English-as-a-foreign-language teachers were analyzed using Latent Profile Analysis, descriptive statistics and Scheffé's method. Results indicate four distinct coursebook adaptation profiles: Highly Active, Moderately Active, Lowly Active and Adding-Deleting-Oriented. The four profiles differed significantly in the distribution of teachers by professional titles, administrative posts, types of students they teach, and participation in coursebook writing and coursebook use training. The teachers tended to regard coursebooks as resources rather than scripts.

Alexithymia and emotion regulation

BackgroundAlexithymia is a key transdiagnostic risk factor for emotion-based psychopathologies. Conceptual models specify that this is because alexithymia impairs emotion regulation. However, the extent of these putative emotion regulation impairments remains underexplored. Our aim in this study was to begin to address this gap by examining whether people with high, average, or low levels of alexithymia differ in the types of emotion regulation strategies they typically use. MethodGeneral community adults from the United States (N = 501) completed a battery of alexithymia and emotion regulation measures. Participants were grouped into high, average, and low alexithymia quantiles. ResultsAfter controlling for demographics and current levels of distress, the high, average, and low alexithymia groups differed in their use of cognitive and behavioral emotion regulation strategies. Compared to the other groups, the high alexithymia group reported lesser use of generally adaptive regulation strategies (cognitive reappraisal, approaching problems, and seeking social support) and greater use of generally maladaptive regulation strategies (expressive suppression, behavioral withdrawal, ignoring). LimitationsOur data were cross-sectional and from self-report questionnaires. Future work in other cultural groups would be beneficial. ConclusionsOur results support the view that alexithymia is associated with impaired emotion regulation. In particular, people with high alexithymia seem to exhibit a less adaptive profile of emotion regulation strategies. Direct targeting of these emotion regulation patterns in psychotherapy may therefore be a useful pathway for the treatment of emotional disorder symptoms in people with high alexithymia.

Adaptive immune responses and cytokine immune profiles in humans following prime and boost vaccination with the SARS-CoV-2 CoronaVac vaccine

BackgroundAdaptive immune response has been thought to play a key role in SARS-CoV-2 infection. The role of B cells, CD4+T, and CD8+T cells are different in vaccine-induced immune response, thus it is imperative to explore the functions and kinetics of adaptive immune response. We collected blood samples from unvaccinated and vaccinated individuals. To assess the mechanisms contributing to protective immunity of CoronaVac vaccines, we mapped the kinetics and durability of humoral and cellular immune responses after primary and boost vaccination with CoronaVac vaccine in different timepoints.Materials and methodsWe separate PBMC and plasma from blood samples. The differentiation and function of RBD-spcific CD4+T and CD8+T cells were analyzed by flow cytometry and ELISA. Antibodies response was analyzed by ELISA. ELISPOT analysis was perfomed to detected the RBD-spcific memory B cells. CBA analysis was performed to detected the cytokine immune profiles. Graphpad prism 8 and Origin 2021 were used for statistical analysis.ResultsVaccine-induced CD4+T cell responses to RBD were more prominent than CD8+T cell responses, and characterized by a predominant Th1 and weak Th17 helper response. CoronaVac vaccine triggered predominant IgG1 antibody response and effectively recalled specific antibodies to RBD protein after booster vaccination. Robust antigen-specific memory B cells were detected (p < 0.0001) following booster vaccination and maintained at 6 months (p < 0.0001) following primary vaccination. Vaccine-induced CD4+T cells correlated with CD8+T cells (r = 0.7147, 0.3258, p < 0.0001, p = 0.04), memory B cell responses (r = 0.7083, p < 0.0001), and IgG and IgA (r = 0.6168, 0.5519, p = 0.0006, 0.003) after vaccination. In addition, vaccine induced a broader and complex cytokine pattern in plasma at early stage.ConclusionTaken together, these results highlight the potential role of B cell and T cell responses in vaccine-induced long-term immunity.

Lessons for a digital future from the school of the pandemic: From distance learning to virtual reality.

The unexpected onset of the pandemic emergency placed so-called Distance Learning (DL) at the center of the academic world, affecting students and teachers across all formative steps. The DL experience has opened up the way for many queries in terms of research on the front of education, besides showcasing instances of innovation within the schooling institution, both increasingly urgent and no longer deferrable. The collective shock that started in March of 2020 was an opportunity to incentivize a leap in evolution, heavily digital in nature, within the educational system; howbeit, the generation of digital natives were already, prior to the onset of COVID-19, waiting to sense greater openness in the Italian school system toward newer technologies, in addition to less standardized, more innovative, creative and hybrid didactic formulas. In the presented study-a web survey launched in the spring of 2021-a large sample of students were invited to retrace their experience with DL, and express their relating assessments and reviews. Conducting the entirety of the study remotely turned out to be a winning data collection technique given a situation, comparable to the one experienced globally, in which face-to-face meetings had become impossible. Through in-depth analysis of the different contexts-social, cultural, technological, spatial, relational-in which the DL experience took hold, this contribution holds the purpose of illustrating the main DL adaptation profiles of the sample reached, valorizing the perceptual dimension, through the systematic comparison of online and in-person didactics. Analysis of the identified forms of adaptation created an opportunity to reconstruct the image of school that the interviewees held, how much they valued it, the trust they placed therein, the developments they predicted and desired for the institution. Focusing-responsibly, and taking stock of the possible ethical implications-on the future opportunities held by technological progress, in itself boosted by the pandemic, are located within a wider experimentation of VR-equipped classrooms, in a multidisciplinary perspective, offering a concrete solution to the needs of both students and teachers.

Deciphering the genomic regions governing major agronomic traits and blast resistance using genome wide association mapping in finger millet

Finger millet (Eleusine coracana L.) is climate resilient minor millet of Asia and Africa with wide adaptation and unparallel nutritional profile. To date, genomic resources available in finger millet are scanty and genetic control of agronomic traits remains elusive. Here, a collection of eco-geographically diverse 186 genotypes was quantified for variation in 13 agronomic traits and reaction to blast to identify marker-trait associations (MTAs) using genotyping-by-sequencing (GBS) and genome-wide association study (GWAS). GBS generated 2977 high quality single nucleotide polymorphism (SNPs) markers and identified three subpopulations with varying admixture levels. General linear and mixed model approaches of GWAS to correct for population structure and genetic relatedness identified 132 common MTAs for agronomic traits across the years. The phenotypic variance explained by the makers varied from 4.8% (TP692389-flag leaf width) to 20% (TP714446-green fodder weight). Of these, 26 MTAs showed homology with candidate genes having role in plant growth, development and photosynthesis in the genomes of foxtail millet, rice, maize, wheat and barley. We also found 4 common MTAs for neck blast resistance, which explained 5.9–15.1% phenotypic variance. Three MTAs for neck blast resistance showed orthologues in related genera having putative functions in pathogen defense in plants. The results of this work lay a foundation for understanding the genetic architecture of agronomic traits and blast resistance in finger millet and provide a framework for genomics assisted breeding.

Thermal adaptation and fatty acid profiles of bone marrow and muscles in mammals: Implications of a study of caribou (Rangifer tarandus caribou).

Mammals have evolved several physiological mechanisms to cope with changes in ambient temperature. Particularly critical among them is the process of keeping the membrane of cells in a fluid phase to prevent metabolic dysfunction. In this paper, we examine variation in the fatty acid composition of bone marrow and muscle tissues in the cold-adapted caribou (Rangifer tarandus caribou) to determine whether there are systematic differences in fatty acid profiles between anatomical regions that could potentially be explained by thermal adaptation as influenced by cell function, including hematopoiesis. Our results indicate that the bone marrow and muscle tissues from the appendicular skeleton are more unsaturated than the same tissues in the axial skeleton, a finding that is consistent with physiological adaptation of the appendicular regions to thermal challenges. Because mechanisms of thermal adaptation appear to be widely shared among terrestrial mammals, we suggest that the same patterns may prevail in other species, possibly including humans.

Unraveling Signatures of Local Adaptation among Indigenous Groups from Mexico.

Few studies have addressed how selective pressures have shaped the genetic structure of the current Native American populations, and they have mostly limited their inferences to admixed Latin American populations. Here, we searched for local adaptation signals, based on integrated haplotype scores and population branch statistics, in 325 Mexican Indigenous individuals with at least 99% Native American ancestry from five previously defined geographical regions. Although each region exhibited its own local adaptation profile, only PPARG and AJAP1, both negative regulators of the Wnt/β catenin signaling pathway, showed significant adaptation signals in all the tested regions. Several signals were found, mainly in the genes related to the metabolic processes and immune response. A pathway enrichment analysis revealed the overrepresentation of selected genes related to several biological phenotypes/conditions, such as the immune response and metabolic pathways, in agreement with previous studies, suggesting that immunological and metabolic pressures are major drivers of human adaptation. Genes related to the gut microbiome measurements were overrepresented in all the regions, highlighting the importance of studying how humans have coevolved with the microbial communities that colonize them. Our results provide a further explanation of the human evolutionary history in response to environmental pressures in this region.

Adaptive Behavior Profiles in Autism Spectrum Disorder.

The goal of this paper is to provide an overview of profiles of adaptive behavior in autism spectrum disorder and highlight the importance of these everyday skills in optimizing self-sufficiency throughout life. Research has clearly confirmed that adaptive deficits exist in ASD, particularly in social skills. These impairments are highly associated with co-occurring conditions such as executive functioning impairments, psychiatric conditions, and even psychosis. There tends to be a discrepancy between intellectual capacity and adaptive functioning, particularly in autistic individuals without cognitive and language delays, with this gap widening between childhood and adulthood. Although cognition and language skills are associated with good outcome in ASD, they are insufficient in the absence of intact adaptive behavior. There is a critical need to emphasize the importance of adaptive functioning in diagnostic evaluations and treatment/intervention programs to ensure that every autistic individual has the potential for success.

Diurnal Nonlinear Recurrence Metrics of Skin Temperature and Their Association with Metabolic Hormones in Contrasting Climate Settings: A Randomized Cross-Over Trial

The urban overheating phenomenon in Mediterranean cities is a societal challenge with vast implications for the protection of public health. An additional analysis of the pilot TEMP randomized 2 × 2 cross-over trial was set up, using wearable sensor-based skin temperature measurements (n = 14). The study objectives were to: (i) assess the recurrence patterns of skin temperature measurements in individuals spending time in two climatologically contrasting settings (urban versus mountainous), and (ii) evaluate the association between the diurnal nonlinear recurrence quantification analysis (RQA) metrics and metabolic hormone levels. The intervention was a short-term stay (5-7 days) in a mountainous, climate-cooler setting (range 600-900 m altitude), which is about a 1 h drive from the main urban centres of Cyprus. The RQA analysis showed a blunting phenomenon on the nonlinear temporal dynamics of skin temperature time series observed in the urban setting. Compared with the mountainous setting, a more stable (and thus less adaptive) profile of skin temperature dynamics in the urban setting appeared, being less deterministic and with a smaller degree of complexity. No significant (p > 0.05) associations were observed between the leptin or cortisol and any of the skin temperature dynamical descriptors. However, there were marginal associations between the adiponectin and laminarity (beta = 0.24, 95%CI: -0.02, 0.50, p = 0.07) and with determinism (beta = 0.23, 95%CI: -0.037, 0.50, p = 0.09). We found dysregulations in skin temperature temporal dynamics of the study population while residing in the urban setting when compared with the cooler mountainous setting; these dysregulations took the form of reduced cycle duration and complexity, while skin temperature dynamics became less responsive to perturbations and less regular in magnitude. More research is needed to better understand heat stress temporal dynamics and their influence on human health. Trial registration: This trial is registered with ClinicalTrials.gov; number: NCT03625817.

The role of cohabitation on adaptive and innate immune cell profiles in the Health and Retirement Study

Abstract Immune cells distribution is shaped by numerous factors including environmental factors, age, and genetics. Cohabitation has been associated with similar microbiomes, possibly due to dietary patterns and exposure to similar pathogens but has not been studied in the context of adaptive and innate immune systems previously. We used immunophenotyping data of 2283 households with participants living in the same household and compared it to 2283 randomly generated pairs of participants from the Health and Retirement study. The adaptive immune cells (subsets of T-cells and B-cells), and innate immune cells (monocytes, natural killer cells, and neutrophils) were compressed to two coordinates using multidimensional scaling. The Euclidean distances between participants in the same household were compared to the distances between the random pairs of participants using two sample independent t-tests. The mean distances of the immune coordinate points for adaptive immune cells between participants in the same household were lower than the randomly paired participants (p-value &amp;lt; 0.0001) and the variability of intra-household distances was lower than the random pairs (IQR: 7.18 vs 8.99). For the innate immune cells, the mean distances between participants in the same household were slightly lower than the randomly paired participants (p-value = 0.03) but the variability of the intra-household distances was higher than the random pairs (IQR: 4.08 vs 3.65). Variability in the adaptive immune system among participants living in the same household were substantially lower indicating the influence of shared environmental conditions in determining the adaptive immune profiles.

Adaptive behaviour in adolescents and adults with Dravet syndrome.

To explore the feasibility of using an adaptive behaviour profile (ABP) assessment generated from a well-known measure-the Vineland Adaptive Behavior Scales, Second Edition (VABS-II)-as an instrument for outcome measures in adolescents and adults with Dravet syndrome. We administered the VABS-II to 35 adolescents and adults with Dravet syndrome (15 males; mean age 24 years, SD 8 years, range: 12-46 years) and collected epilepsy history and neurological features at the time of assessment. We conducted a cross-sectional analysis of VABS-II raw scores and performed cluster analysis to identify different subgroups. We then explored possible relationships between clinical and epilepsy features, ABPs, and age. Most participants obtained the minimum standard scores in the various VABS-II subdomains, while the raw score analysis outlined interindividual and intraindividual differences among skills. We found two subpopulations: one with a 'lower' ABP and one with a 'higher' ABP, corresponding respectively to individuals in whom myoclonic seizures or generalized spike-and-wave activity were present ('complete phenotype') or absent ('incomplete phenotype') on electroencephalography. This study further delineates the natural history of Dravet syndrome. The assessment of an ABP through the VABS-II raw score analysis provides a means by which to illustrate profiles of adaptive behaviour in adolescents and adults with Dravet syndrome but shows limitations related to poor sensitivity in measuring fine clinical details. There is a need for new and more specific tools to monitor patients with developmental and epileptic encephalopathies. Most adults with Dravet syndrome obtained the minimum standard scores in the Vineland Adaptive Behavior Scales, Second Edition (VABS-II) subdomains. The VABS-II raw score analysis showed interindividual and intraindividual variability. Individuals with myoclonic seizures and/or generalized spike-and-wave activity on electroencephalography showed a worse adaptive behaviour profile.

An Exploration of the Occupational Adaptation of Older Adults Living in Low-Income Housing During the Pandemic

ABSTRACT Health restrictions enacted during the COVID-19 pandemic made it difficult for older adults living in low-income housing (hereinafter referred to as residents) to maintain a routine. The study aimed to explore the ways in which residents carried on, experienced and adapted their activities during the pandemic. An action research study, conducted in cooperation with a community partner, involved nineteen residents who participated in semi-structured interviews inspired by an occupation focused health promotion model. Qualitative data obtained was analyzed using thematic and cross-case analyses. Two thirds of the sample reported a high level of change in their daily routine. The need to connect with others and to live moments of pleasure and joy were the least satisfying dimensions of experience while performing their activities, which was not surprising. Three occupational adaptation profiles were identified based on the residents’ perception of changes in routine and their degree of satisfaction with time spent in the different dimensions of experience. Among strategies and resources reported for overcoming the impact of the pandemic on their daily lives, having a supportive social network, access to communication technologies and a positive attitude seemed to be key to residents’ successful occupational adaptation.

Loneliness Profiles in Adolescence: Associations with Sex and Social Adjustment to the Peer Group

Loneliness is a complex feeling associated with socio-emotional adjustment difficulties, particularly during adolescence. Such construct is often treated as unidimensional rather than multidimensional, moreover, studies consisting of both peer and family contexts, are very scarce. Adopting a multidimensional and person-centered approach, our study aimed to identify distinct clusters of adolescents with similar patterns of social and emotional loneliness with peers and family and to examine their differences in peer reported social adjustment, controlling for sex. Self-report and peer nomination data were collected from 691 participants (48.36% boys) aged between 11 and 16 years (M = 12.95, SD = 1.15). After controlling for age and preference for solitude, results revealed four clusters with specific configurations of loneliness forms and with different associations with positive or negative features of social adjustment to peer group. Two clusters exhibited adaptive profiles (lower vulnerability to maladjustment): less-lonely, and family-related loneliness profile, in which adolescents were viewed by peers as exhibiting more prosocial behaviors. The other two clusters displayed maladaptive profiles (higher vulnerability to maladjustment): more-lonely, and peer-related loneliness profile, in which adolescents were more likely viewed by their peers as socially withdrawn, peer-excluded, and peer-victimized. Additionally, our results revealed sex differences, with girls in the more-lonely profile showing significant higher social loneliness related to peer group, and higher social and emotional loneliness in family context. Our results highlight the importance of recognizing different forms of loneliness given the differences in adjustment to social contexts observed, shedding further light on this complex construct.

Whole-brain dynamics of human sensorimotor adaptation.

Humans vary greatly in their motor learning abilities, yet little is known about the neural processes that underlie this variability. We identified distinct profiles of human sensorimotor adaptation that emerged across 2 days of learning, linking these profiles to the dynamics of whole-brain functional networks early on the first day when cognitive strategies toward sensorimotor adaptation are believed to be most prominent. During early learning, greater recruitment of a network of higher-order brain regions, involving prefrontal and anterior temporal cortex, was associated with faster learning. At the same time, greater integration of this "cognitive network" with a sensorimotor network was associated with slower learning, consistent with the notion that cognitive strategies toward adaptation operate in parallel with implicit learning processes of the sensorimotor system. On the second day, greater recruitment of a network that included the hippocampus was associated with faster learning, consistent with the notion that declarative memory systems are involved with fast relearning of sensorimotor mappings. Together, these findings provide novel evidence for the role of higher-order brain systems in driving variability in adaptation.

A developmental approach to youth maladaptive personality traits: Variable- versus person-centered change in the transition from childhood to adolescence

Increasing evidence shows that personality pathology starts to develop from (late) childhood onwards. The current study extends previous research by examining maladaptive personality change using both a variable-centered approach (i.e., mean-level changes) and a person-centered approach (i.e., latent profile transitions). Data were used from a 3-wave longitudinal study on Dutch youth (at T1: N = 492, mean age = 10.1). Maladaptive personality traits (i.e., Emotional Instability, Disagreeableness, Introversion, and Compulsivity) were assessed yearly using the Dimensional Personality Symptom Item Pool (DIPSI). A Factor of Curves model indicated presence of a higher-order developmental factor, reflecting low initial levels and small decreases over time, which explained change in all DIPSI traits. Latent profile analyses revealed three quantitatively different maladaptive personality trait profiles. Latent Transition Analysis demonstrated substantial stability in profiles over time. Small groups showed a transition toward another (often more adaptive) profile. Although a person-centered approach may have some merit when aiming to detect high-risk subgroups, the current results suggest that a variable-centered approach—and a Factor of Curves model capturing shared underlying developmental processes in particular—is favorable over a person-centered approach.

Disease resistance in coral is mediated by distinct adaptive and plastic gene expression profiles.

Infectious diseases are an increasing threat to coral reefs, resulting in altered community structure and hindering the functional contributions of disease-susceptible species. We exposed seven reef-building coral species from the Caribbean to white plague disease and determined processes involved in (i) lesion progression, (ii) within-species gene expression plasticity, and (iii) expression-level adaptation among species that lead to differences in disease risk. Gene expression networks enriched in immune genes and cytoskeletal arrangement processes were correlated to lesion progression rates. Whether or not a coral developed a lesion was mediated by plasticity in genes involved in extracellular matrix maintenance, autophagy, and apoptosis, while resistant coral species had constitutively higher expression of intracellular protein trafficking. This study offers insight into the process involved in lesion progression and within- and between-species dynamics that lead to differences in disease risk that is evident on current Caribbean reefs.

Time Attitude Profiles and Risky Behaviors Among Adolescents in the United States and Germany

We used a person-centered approach to examine associations among time attitude profiles –positive and negative feelings about the past, present, and future – and risky behaviors. Participants were adolescents from the U.S. and Germany. The U.S. sample included 742 participants (MAge = 15.71; 53.6% female). The German sample included 610 participants (MAge = 14.75; 51.4% female). Latent profile analyses supported three more adaptive (Positive, Balanced, and Optimists) and two less adaptive (Ambivalent, Extremely Past Negative) time attitude profiles in both samples. In the U.S., adolescents in the Positive profile reported fewer risky behaviors than their counterparts. In Germany, adolescents in the Extremely Past Negatives profile reported more risky behaviors than their counterparts. Findings support the investigation of time attitudes as a meaningful correlate of risky behaviors in adolescents and across cultures.