Adaptive Research Articles

Self-perceptions of aging predict adjustment during the COVID-19 pandemic.

Individuals faced extraordinary challenges during the COVID-19 pandemic. However, psychosocial strengths may promote individuals' adjustment during times of challenge. Positive self-perceptions of aging (SPA) have been found to predict a variety of health and well-being indicators outside the context of the pandemic. In the present study, we examined SPA (measured prior to the pandemic) as a prospective predictor of COVID-19-related behavior, adaptation, and functioning in a sample of 3,620 adults (Mage = 65.88; 61.1% women; 65.4% White) from the 2016 to 2020 waves of the Health and Retirement Study. Linear regressions revealed that more positive SPA in 2016 were associated with a higher likelihood of socially distanced behavior (β = .07, p < .001), less worry (β = -.27, p < .001), less stress (β = -.24, p < .001), less loneliness (β = -.27, p < .001), and greater positive functioning (β = .20, p < .001) during the first year of the pandemic (2020). Confounding variables explained SPA's associations with preventive behavior and (to an extent) socially distanced behavior. Findings support SPA theories, suggesting linkages between SPA and flexible, adaptive behaviors and outcomes in the face of external challenges. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

The social determinants of resilience: A conceptual framework to integrate psychological and policy research.

The psychological study of resilience has increasingly underscored the need for children and families to access material and psychological resources to positively adapt to significant stress. Redistributive policies-policies that downwardly reallocate society's social and economic resources-can offer economically disadvantaged families sustained access to these resources and mitigate the harmful impacts of adversity. This conceptual article builds upon and integrates insights from psychological and policy research to develop a unifying multilevel resilience framework, which we call the Social Determinants of Resilience. We examine four U.S. redistributive policies that have been extensively studied for their effects on child and family outcomes as case studies: (1) Medicaid expansion; (2) the Earned Income Tax Credit; (3) childcare subsidies; and (4) Temporary Assistance for Needy Families. Informed by a scoping review of each policy, we propose that redistributive policies promote children's resilience through three mechanisms by (1) increasing families' resource and service access; (2) reducing family stress; and (3) enhancing adaptive cognitions, emotions, behaviors, and interpersonal processes that protect against the development of psychopathology and promote positive mental health outcomes. Highlighting current evidence for these resilience mechanisms as well as gaps in knowledge, we conclude by setting a multidisciplinary research agenda that can leverage this conceptual framework to advance the science on how redistributive policies enable children and families to thrive. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

LEGO®-Based Therapy in School Settings for Social Behavior Stimulation in Children with Autism Spectrum Disorder: Comparing Peer-Mediated and Expert Intervention.

LEGO®-based therapy is a social development protocol that uses LEGO® activities to support the development of a wide range of interaction skills, enhancing prosocial behaviors and mitigating the challenges associated with mental health difficulties and behavioral issues commonly observed in children with autism spectrum disorder (ASD). This study aimed to explore the effects of LEGO®-based therapy on the social behavior and mental health of children with ASD, comparing stimulation mediated by expert and stimulation mediated by non-autistic peers. This study was approved by the Ethical Committee at Mackenzie Presbyterian University, ensuring adherence to ethical standards throughout the research process. This study involved 18 children with ASD, levels 1 or 2, with an intelligence quotient (IQ) above 70, and three typically developing peers, intelligence quotient (IQ) above 80, aged between 5 and 8 years old, of both sexes. Participants were randomized into three groups for stimulation (stimulation mediated by expert, by a non-autistic peer and control group). The measures were the Wechsler Abbreviated Scale of Intelligence, the Strengths and Difficulties Questionnaire (parent and teacher versions), the Inventory of Difficulties in Executive Functions, Regulation, and Aversion to Delay-Child Version, the Developmental Coordination Disorder Questionnaire, the Autism Behavior Checklist, and the Autistic Behavior Inventory. After 14 sessions of 45 min in school settings, the participants of both groups (mediated by experts and non-autistic children) showed significant gains on social behavior. A statistically significant difference was observed between baseline sessions and probes (χ2 (5) = 25.905, p < 0.001). These gains were maintained in both follow-up points, 30 and 90 days after the completion of the stimulation sessions. Additionally, maladaptive behavior showed a significant decline when compared pre- and post-intervention. These improvements were sustained during follow-up assessments at 30 and 90 days. The results suggest that a structured intervention combined with peer-mediated stimulation may be an effective method for promoting adaptive and prosocial behaviors in children with ASD.

Cognitive, adaptive and daily life functioning in adults with 22q11.2 deletion syndrome.

22q11.2 deletion syndrome (22q11.2DS) is associated with cognitive impairments and an increased risk of psychopathology. Most of the research has been conducted in children and adolescents, although the majority of affected individuals live well into adulthood. Hence, limited data are available on functional outcomes in adults. To provide more insight in cognitive and adaptive abilities, and daily life functioning (marital status, living situation and work situation) in adults with 22q11.2DS. This retrospective study included 250 Dutch-speaking adults (16-69 years) with 22q11.2DS from three sites in The Netherlands and Belgium. Data on full-scale IQ (FSIQ) scores (assessed with the Wechsler Adult Intelligence Scale), adaptive functioning (assessed with the Vineland Adaptive Behavior Scale II), and functional outcomes including marital status, living and work situation were systematically collected from clinical files. In addition, we examined predictors of adaptive functioning. The majority of individuals in our adult sample demonstrated a low level of adaptive functioning (65%). In contrast to previous findings in children and adolescents, the majority functioned at an intellectual disability level (56%). Male sex, lower FSIQ and autism spectrum disorder were predictors of lower adaptive functioning (P = 0.016, P < 0.001 and P = 0.16, respectively). These results suggest that low levels of cognitive and adaptive functioning are common in adults with 22q11.2DS. Future longitudinal and multicentre studies including older patients (>40 years) are needed to further investigate cognitive and adaptive trajectories and their interactions with physical and psychiatric comorbidities.

Glia-like taste cells mediate an intercellular mode of peripheral sweet adaptation.

The sense of taste generally shows diminishing sensitivity to prolonged sweet stimuli, referred to as sweet adaptation. Yet, its mechanistic landscape remains incomplete. Here, we report that glia-like type I cells provide a distinct mode of sweet adaptation via intercellular crosstalk with chemosensory type II cells. Using the microfluidic-based intravital tongue imaging system, we found that sweet adaptation is facilitated along the synaptic transduction from type II cells to gustatory afferent nerves, while type I cells display temporally delayed and prolonged activities. We identified that type I cells receive purinergic input from adjacent type II cells via P2RY2 and provide inhibitory feedback to the synaptic transduction of sweet taste. Aligning with our cellular-level findings, purinergic activation of type I cells attenuated sweet licking behavior, and P2RY2 knockout mice showed decelerated adaptation behavior. Our study highlights a veiled intercellular mode of sweet adaptation, potentially contributing to the efficient encoding of prolonged sweetness.

Photoregulated Supramolecular Polymerization through Halogen Bonding

Supramolecular polymers are able to change their structure, morphology and function in response to external stimuli. However, controlling the independence of stimuli‐responses in these systems is challenging. Herein, we exploit halogen bonding (XB) as a reversible network element to regulate the photoresponsive and adaptive behavior of supramolecular polymers. To this end, we have designed a system comprising an amphiphilic XB acceptor with the ability to self‐assemble in aqueous media (OPE‐Py) and a molecule with a dual photoresponsive and XB donor function [(E)‐Azo‐I]. OPE‐Py self‐assembles in aqueous media into supramolecular polymers, which transform into nanoparticle assemblies upon co‐assembly with (E)‐Azo‐I. Interestingly, a third type of assembly (2D sheets) is obtained if OPE‐Py is treated with (E)‐Azo‐I and exposed to photoirradiation. At ambient conditions, both nanoparticles and 2D sheets remain invariant over time. However, heating dissociates the XB interactions present in both assemblies, resulting in their transformation to the original fiber‐like morphology of OPE‐Py. Thus, breaking the communication between self‐assembly and the stimuli‐responses upon heating restores the original state of the system, drawing parallels to feedback loops in programming language. This work broadens the still limited scope of XB in solution assemblies and paves the way for multifunctional adaptive supramolecular systems.

Biofilm Production in Intensive Care Units: Challenges and Implications.

The prevalence of infections amongst intensive care unit (ICU) patients is inevitably high, and the ICU is considered the epicenter for the spread of multidrug-resistant bacteria. Multiple studies have focused on the microbial diversity largely inhabiting ICUs that continues to flourish despite treatment with various antibiotics, investigating the factors that influence the spread of these pathogens, with the aim of implementing sufficient monitoring and infection control methods. Despite joint efforts from healthcare providers and policymakers, ICUs remain a hub for healthcare-associated infections. While persistence is a unique strategy used by these pathogens, multiple other factors can lead to persistent infections and antimicrobial tolerance in the ICU. Despite the recognition of the detrimental effects biofilm-producing pathogens have on ICU patients, overcoming biofilm formation in ICUs continues to be a challenge. This review focuses on various facets of ICUs that may contribute to and/or enhance biofilm production. A comprehensive survey of the literature reveals the apparent need for additional molecular studies to assist in understanding the relationship between biofilm regulation and the adaptive behavior of pathogens in the ICU environment. A better understanding of the interplay between biofilm production and antibiotic resistance within the environmental cues exhibited particularly by the ICU may also reveal ways to limit biofilm production and indivertibly control the spread of antibiotic-resistant pathogens in ICUs.

A left-lateralized white matter tract associated with communication in domestic dogs

The ability to communicate with conspecifics is an adaptive behavior important for survival and reproduction, particularly in lineages that evolved enlarged brains and complex social behavior. In humans, language is supported by a robust, left-lateralized white matter fiber tract called the arcuate fasciculus, which links Broca's and Wernicke's areas, the core neocortical language regions located in the frontal and temporal lobes, respectively1. This tract is also present in chimpanzees, less substantial than in humans and either weakly leftwardly-asymmetric or not asymmetric2. Other mammalian lineages have evolved large brains, complex behavior and social communication in parallel with primates, notably including carnivores. In dogs (Canis familiaris), domestication has almost certainly involved additional selective pressures and environmental factors that have shaped the evolution and development of neural circuits for communication. We report that the dog brain possesses a large, left-lateralized white matter tract that links cortical centers for productive and receptive communication, and that this tract is positively associated with individual variation in receptive vocabulary size.

Sleep Disorders Five Years After Acute Provoked Neonatal Seizures.

To evaluate whether abnormal sleep is associated with adverse outcomes for children who survived acute provoked neonatal seizures, and their parents' well-being. This 9-center study prospectively followed newborns with acute provoked seizures. When children reached age 5 years, parents completed the Children's Sleep Habits Questionnaire (CSHQ), the Pediatric Sleep Questionnaire-Sleep Related Breathing Disorders (PSQ-SRBD) subscale, Vineland Adaptive Behavior Scales-3, and the Hospital Anxiety Depression Scale (HADS). Children were also assessed with the Wechsler Preschool and Primary Scale of Intelligence-IV (WPPSI-IV). Spearman correlations and multivariable analyses were used to evaluate risk factors for sleep problems. The mean CSHQ score was 45±7; 77/118 (65%) scored abnormally above the healthy sleep threshold of 41. On the PSQ-SRBD, 32/119 (27%) screened positive for sleep-disordered breathing (SDB). SDB symptoms were more common among children with cerebral palsy (42% with vs. 22% without, p=0.03) and epilepsy (54% with vs. 24% without, p=0.02). Children with lower scores on the Vineland-3 (rho=-0.25, p=0.01) and WPPSI-IV (rho=-0.31, p=0.004) at age 5 years were more likely to have symptoms of SDB. Worse CSHQ and PSQ-SRBD scores were associated with higher parental anxiety (rho=0.28, p=0.002, and rho=0.34, p=0.0002, respectively) and depression scores on the HADS (rho=0.16, p=0.08, and rho=0.17, p=0.07, respectively). Two-thirds of early school-aged survivors of acute provoked neonatal seizures had parent-reported sleep abnormalities and one quarter screened positive for SDB. Early screening and effective treatment for sleep disorders could be an innovative, practice-changing approach to improve outcomes after neonatal seizures.

Photoregulated Supramolecular Polymerization through Halogen Bonding.

Supramolecular polymers are able to change their structure, morphology and function in response to external stimuli. However, controlling the independence of stimuli-responses in these systems is challenging. Herein, we exploit halogen bonding (XB) as a reversible network element to regulate the photoresponsive and adaptive behavior of supramolecular polymers. To this end, we have designed a system comprising an amphiphilic XB acceptor with the ability to self-assemble in aqueous media (OPE-Py) and a molecule with a dual photoresponsive and XB donor function [(E)-Azo-I]. OPE-Py self-assembles in aqueous media into supramolecular polymers, which transform into nanoparticle assemblies upon co-assembly with (E)-Azo-I. Interestingly, a third type of assembly (2D sheets) is obtained if OPE-Py is treated with (E)-Azo-I and exposed to photoirradiation. At ambient conditions, both nanoparticles and 2D sheets remain invariant over time. However, heating dissociates the XB interactions present in both assemblies, resulting in their transformation to the original fiber-like morphology of OPE-Py. Thus, breaking the communication between self-assembly and the stimuli-responses upon heating restores the original state of the system, drawing parallels to feedback loops in programming language. This work broadens the still limited scope of XB in solution assemblies and paves the way for multifunctional adaptive supramolecular systems.

Nature's All-in-One: Multitasking Robots Inspired by Dung Beetles.

Dung beetles impressively coordinate their 6 legs to effectively roll large dung balls. They can also roll dung balls varying in the weight on different terrains. The mechanisms underlying how their motor commands are adapted to walk and simultaneously roll balls (multitasking behavior) under different conditions remain unknown. This study unravels the mechanisms of how dung beetles roll dung balls and adapt their leg movements to stably roll balls over different terrains for multitasking robots. A modular neural-based loco-manipulation control inspired by and based on ethological observations of the ball-rolling behavior of dung beetles is synthesized. The proposed neural-based control contains a central pattern generator (CPG) module, a pattern formation network (PFN) module, and a robot orientation control (ROC) module. The integrated control mechanisms can control a dung beetle-like robot (ALPHA) with biomechanical feet to perform adaptive (multitasking) loco-manipulation (walking and ball-rolling) on various terrains (flat and uneven). It can deal with different ball weights (2.0 and 4.6kg) and ball types (soft and rigid). The control mechanisms can serve as guiding principles for solving sensory-motor coordination for multitasking robots. Furthermore, this study contributes to biological research by enhancing the understanding of sensory-motor coordination for adaptive (multitasking) loco-manipulation behavior in animals.

Multisensory temporal processing in schizophrenia and bipolar disorder: implications for psychosis

Structuring sensory events in time is essential for interacting with the environment and producing adaptive behaviors. Over the past years, the microstructure of temporality received increasing attention, recognized as a fundamental factor influencing cognitive, affective, and social abilities, whose alteration can underlie the etiopathogeneses of some clinical symptoms in psychiatric disorders. The present research investigated multisensory temporal processing in individuals with schizophrenia (N = 21), bipolar disorder (N = 20) and healthy controls (N = 21) in order to explore a plausible link between multisensory alterations in the temporal order of events and the psychopathological dimensions underlying psychosis. We asked participants to temporally order audio-tactile, visual-tactile, and audio-visual stimuli, and we administered different psychopathological scales to explore depressive, manic and psychotic symptoms. Results demonstrated that both subjects with schizophrenia and bipolar disorder are less precise in temporal order judgment independently of the sensory modalities involved. Interestingly, reduced precision in temporal processing of patients is positively associated with the presence and severity of positive symptoms. Our findings support the hypothesis that low-level sensory alterations in temporal structure may contribute to the emergence of clinical symptoms such as delusions, hallucinations, and disorganized behaviors.

Uncovering the dynamics of individual learning and employee adaptability in influencing innovation behavior

The success of organizations in the era of ever-changing business is greatly influenced by the adaptability, creativity, and innovation factors of employees, which are obtained through effective learning. Organizations that implement a learning culture encourage employees to adapt and internalize learning from past experiences. Employees who are active in training become more creative and adaptive, increasing their ability to deal with change. This study aims to explore the relationship between Individual Learning, Employee Adaptability, Employee Creativity, and Employee Innovation Behavior, especially in the State Civil Apparatus (ASN) in South Kalimantan. Through a quantitative approach with analysis using Partial Least Square (PLS), this study found that individual learning significantly affects employee adaptability and creativity, and contributes to their innovative behavior. The results of the study indicate the need for a longitudinal approach to understand the dynamics of changes in employee adaptability and creativity in the context of public services. This study identifies the importance of supporting factors such as management support and work environment that influence employee innovation.

Advancing Artificial Intelligence: The Potential of Brain-Inspired Architectures and Neuromorphic Computing for Adaptive, Efficient Systems

Brain-inspired AI architecture, also known as neuromorphic computing, seeks to emulate the structure and functionality of the human brain to create more efficient, adaptive, and intelligent systems. Unlike traditional AI models that rely on conventional computing frameworks, brain-inspired architectures leverage neural networks and synapse-like connections to perform computations more similarly to biological brains. This approach offers significant advantages, including lower power consumption, improved learning capabilities, and enhanced problem-solving efficiency, particularly in tasks that require complex pattern recognition and cognitive processes. This paper explores the key components of brain-inspired AI architectures, such as spiking neural networks (SNNs) and neuromorphic hardware, and reviews the latest advancements in this field. We examine their applications across diverse domains, including robotics, autonomous systems, and medical diagnostics, where brain-like adaptability and real-time learning are critical. Additionally, we analyze the challenges associated with scaling these architectures, including hardware constraints and the complexity of accurately mimicking human brain functionality. The potential for combining brain-inspired AI with current machine learning models is also discussed, highlighting future directions for achieving more advanced, efficient, and human-like artificial intelligence systems. This research contributes to the growing body of knowledge on neuromorphic computing and its promise in shaping the future of AI technologies.Moreover, brain-inspired AI architectures have the potential to surpass traditional AI systems in terms of real-time decision-making and learning efficiency, particularly in environments that require adaptive behavior. The use of spiking neural networks (SNNs) in these architectures allows for more biologically plausible models of neuron activity, which can lead to advancements in sensory processing and autonomous decision-making. As neuromorphic hardware continues to evolve, integrating it with existing AI frameworks could enhance both performance and scalability. However, replicating the brain's full complexity remains a significant challenge, particularly in terms of creating energy-efficient hardware capable of supporting large-scale neural networks. Despite these challenges, the development of brain-inspired AI promises to bridge the gap between artificial and human intelligence, offering transformative possibilities for various industries.

Nocturnal Artificial Light Exposure in Expectant Mothers and Risk of Congenital Glaucoma

Abstract Background While the impact of light pollution on human health is gaining recognition, its role in transmitting the effects of maternal exposure to the fetus remains unclear. This study is to investigate the association between exposure to artificial light at night (ALAN) during pregnancy and risk of congenital glaucoma. Methods All birth cohorts spanning from 2008 to 2011 in urban areas of South Korea, comprising over 90% of the total population, were identified in the Korean National Health Insurance database. Average levels of ALAN at the residential addresses of mothers during pregnancy were estimated using time-varying satellite data for a composite view of persistent night-time illumination at ∼1 km2 scale.The odd ratios (ORs) and 95% confidence intervals (CIs) of the association between residential ALAN and risk of congenital glaucoma - was computed using logistic regression. These calculations were adjusted for socio-demographic factors and area-level risk factors (night-time traffic noise and particulate matter with an aerodynamic diameter ≤ 10 μm). Results A total of 745,458 mother-father-child trios (mean [SD] age of the mothers, 32.4 [3.8] years; 387,275 [52.0%] boy) were included in the study. In fully adjusted models, an IQR (21.8 nW/cm2/sr) increase in ALAN level was associated with an OR of 1.12 (95% CI: 1.05, 1.19) for incident congenital glaucoma. The exposure-response curve demonstrated an upward slope with a threshold at approximately 62 nW/cm2/sr. Conclusions In this nationwide population-based case-control study, higher levels of residential ALAN during pregnancy were associated with increased risk of congenital glaucoma. Future studies with more detailed information on exposure, individual adaptive behaviors and potential mediators are warranted. Key messages • This study indicates an association between elevated levels of ALAN exposure in pregnant women and a heightened risk of congenital glaucoma in their offspring. • These results are consistent with a growing body of evidence underscoring the detrimental effects of ALAN on health, reinforcing its potential role as a risk factor for congenital glaucoma.

The Spiraling Cognitive-Emotional Brain: Combinatorial, Reciprocal, and Reentrant Macro-organization.

This article proposes a framework for understanding the macro-scale organization of anatomical pathways in the mammalian brain. The architecture supports flexible behavioral decisions across a spectrum of spatio-temporal scales. The proposal emphasizes the combinatorial, reciprocal, and reentrant connectivity-called CRR neuroarchitecture-between cortical, BG, thalamic, amygdala, hypothalamic, and brainstem circuits. Thalamic nuclei, especially midline/intralaminar nuclei, are proposed to act as hubs routing the flow of signals between noncortical areas and pFC. The hypothalamus also participates in multiregion circuits via its connections with cortex and thalamus. At slower timescales, long-range behaviors integrate signals across levels of the neuroaxis. At fast timescales, parallel engagement of pathways allows urgent behaviors while retaining flexibility. Overall, the proposed architecture enables context-dependent, adaptive behaviors spanning proximate to distant spatio-temporal scales. The framework promotes an integrative perspective and a distributed, heterarchical view of brain function.

Incumbent responses to anticipated discontinuous regulatory change: The case of Scope 3 CO2 reporting in the European steel industry

Regulatory change can be highly discontinuous for organizations. Yet, despite the vast discontinuous change and institutionalism literatures, our understanding of incumbent behavior in response to anticipated discontinuous regulatory change is limited. To address this issue, we conducted a qualitative analysis in the European steel industry, which is facing prospective discontinuous regulatory change on Scope 3 reporting. Our findings offer new insights into this understudied field by elaborating on incumbents' expectations for the future, their ensuing motivations, and their taken or planned actions. We find evidence for heterogenous adaptation behavior that manifests in three motivational patterns: Incentives for early movers, reasons for hesitation, and disincentives preventing implementation. These patterns are a result of incumbents’ varying expectations of future circumstances, opportunities, and risks, and they lead to different actions incumbents plan or take in response to the anticipated change. Our study contributes to the theoretical understanding of regulatory change as a distinct form of discontinuous change, sheds light on incumbent behavior at an early stage of a discontinuous change prior to its actual occurrence, and highlights that adaptation to a discontinuous regulatory change can have both positive and negative effects on incumbents. Our process model enables practitioners to make more informed decisions in the context of discontinuous regulatory change and policymakers may use our findings to improve the regulatory design process and subsequent compliance. Finally, our study opens up numerous pathways for future research.

Progressive Functional Analysis and Function-Based Intervention Via Telehealth: A Replication and Extension.

The purpose of this study was to evaluate a progressive functional analysis (FA) model and function-based intervention delivered by caregivers with coaching via telehealth. Children diagnosed with autism and at least one caregiver (e.g., parent) participated in the study. We conducted three assessments prior to and following intervention: a researcher-developed 10-min observation, the Parental Stress Index, and the externalizing section of the Vineland Adaptive Behavior Rating Scales, Third Edition (VABS-3). We included 47 participants in the present evaluation of the progressive FA model. We identified the function of challenging behavior for 36 participants. A function was not identified for nine participants who exhibited low or no challenging behavior during the assessment; the results were inconclusive for two participants. For the 17 participants who participated in the intervention evaluation phase, each of the participants achieved the mastery criterion, which was an 80% reduction in challenging behavior for most participants. Additionally, there was a statistically significant decrease in the VABS-3 externalizing behavior measure from pre- to post-assessment, although neither of the other pre-post measures resulted in statistically significant changes. This study replicates and extends previous research, supporting the use of progressive FA model and function-based interventions to improve challenging behavior.

Adaptive behavior in primary agenesis of the corpus callosum

Background and aimsPrimary agenesis of the corpus callosum (ACC) is a congenital neurological disorder characterized by the absence, either partial or complete, of the corpus callosum in individuals who do not have intellectual disability and are otherwise neurologically asymptomatic. While mild to moderate neurocognitive deficits have been observed in individuals with primary ACC using neuropsychological assessments, the impact of this syndrome on adaptive behavior remains insufficiently understood. MethodsThis study used self- and informant-ratings on the Adaptive Behavior Assessment System, Second Edition (ABAS-II) to evaluate adaptive behavior in 35 adults diagnosed with primary ACC. ResultsWhile adults with primary ACC reported adaptive functioning comparable to an age-adjusted normative sample, family informants rated their adaptive ability below norms in several skill domains, particularly social skills. ConclusionsThis pattern of lower ratings by informants than self-ratings suggests adults with ACC may have poor understanding of their own behavior and its consequences. This study demonstrates that informants observe significant deficiencies in the conceptual, social, and practical aspects of adaptive behavior in persons with primary ACC, and that these deficiencies are not seen as clearly by the persons themselves.

Evaluation of School Program Gaps Adiwiyata in Forming Character Profile Pancasila Students at SD Negeri 03 Jati Jaten Karanganyar District

The Adiwiyata program has the character value of caring for the environment in a person to carry out activities related to nature. Through the Adiwiyata School Program, students can be trained to have creative, adaptive, collaborative and independent behavior in accordance with the Pancasila student profile. The aim of this research is to evaluate the implementation of the Adiwiyata School program in finding gaps in the design, installation, process, product and cost-benefit aspects of the Adiwiyata School Program at SD Negeri 03 Jati Jaten, Karanganyar Regency. Program evaluation to ensure the Adiwiyata program is implemented in accordance with the objectives and results as a recommendation to improve the Adiwiyata program in this school. This research uses the DEM (discrepancy evaluation model) evaluation model or what is usually called a gap evaluation model which focuses on every aspect of design, installation, process, product and cost-benefit. This research uses descriptive qualitative research. Data and information collection regarding program implementation in providing guidance to students is carried out by means of interviews, document studies, and observations. Data analysis was carried out through a process of data reduction, data presentation, and drawing conclusions. The results concluded that the Adiwiyata program at SD Negeri 03 Jati was implemented well even though it had not fully met the targets set. In the design aspect, no gaps were found at all. In the design aspect, no gaps were found at all. Meanwhile, in the installation aspect there is a gap of 12.5%, in the process aspect there is a gap of 11.25%, in the product aspect there is a gap of 16.67%, and in the cost-benefit aspect there is a gap of 12.5%. Based on the gap findings, there are several recommendations that can be proposed, firstly to the school to continue the program by improving the management of environment-based curriculum components by increasing collaboration with all school members and participatory activities by means of intensive and sustainable mentoring as well as budget allocation for the development of the Adiwiyata program. The second recommendation is for the Environmental Service and Adiwiyata School Trustees to provide assistance and provide support for Adiwiyata schools. Keywords: Program Evaluation, DEM, SD Negeri 03 Jati