Search Results (1,062)

(1) Background: Perfectionism, generally conceptualized as a striving for flawlessness, can lead to maladaptive thoughts, feelings, and behavior. Both grandiose narcissism (GN) and vulnerable narcissism (VN) represent relevant personality dispositions for perfectionism. There is reason to assume that GN and VN predispose to different forms of perfectionist cognition and behavior. It remains unclear, however, whether GN and VN are indeed distinctly associated with different aspects of perfectionism and—if so—why. (2) Methods: We explored relationships between GN, VN, other-oriented, and socially prescribed perfectionism in a convenience sample of 210 adults (59% female) and further examined whether these relationships were mediated by distinct aspects of fear of failure, which has been identified as a critical driver for perfectionism. Moreover, we assessed implicit failure avoidance by means of response latencies obtained in a lexical approach-avoidance task. (3) Results: Our results indicate that perfectionist styles discriminate GN from VN whereby GN predict other-oriented and VN predict socially prescribed perfectionism. The latter relationship was largely mediated by social aspects of fear of failure (e.g., the fear of important others losing interest). In contrast, fear of failure did not explain the link between GN and other-oriented perfectionism. Furthermore, only VN was exclusively related to faster implicit failure avoidance. (4) Conclusions: This pattern of results suggests distinct mechanisms for GN and VN in the context of perfectionism. Our study provides support for the theoretical separation of GN and VN as relatively distinct phenotypes of narcissism and adds to clinical research linking GN and VN with different types of psychopathology. Full article

The rapid proliferation of Chat Generative Pre-trained Transformer (ChatGPT) marks a pivotal moment in artificial intelligence, eliciting responses from academic shock to industrial awe. As these technologies advance from passive tools toward proactive, agentic systems, their transformative potential and inherent risks are magnified globally. This paper presents a comprehensive, critical review of ChatGPT’s impact across five key domains: natural language understanding (NLU), content generation, knowledge discovery, education, and engineering. While ChatGPT demonstrates profound capabilities, significant challenges remain in factual accuracy, bias, and the inherent opacity of its reasoning—a core issue termed the “Black Box Conundrum”. To analyze these evolving dynamics and the implications of this shift toward autonomous agency, this review introduces a series of conceptual frameworks, each specifically designed to illuminate the complex interactions and trade-offs within these domains: the “Specialization vs. Generalization” tension in NLU; the “Quality–Scalability–Ethics Trilemma” in content creation; the “Pedagogical Adaptation Imperative” in education; and the emergence of “Human–LLM Cognitive Symbiosis” in engineering. The analysis reveals an urgent need for proactive adaptation across sectors. Educational paradigms must shift to cultivate higher-order cognitive skills, while professional practices (including practices within education sector) must evolve to treat AI as a cognitive partner, leveraging techniques like Retrieval-Augmented Generation (RAG) and sophisticated prompt engineering. Ultimately, this paper argues for an overarching “Ethical–Technical Co-evolution Imperative”, charting a forward-looking research agenda that intertwines technological innovation with vigorous ethical and methodological standards to ensure responsible AI development and integration. Ultimately, the analysis reveals that the challenges of factual accuracy, bias, and opacity are interconnected and acutely magnified by the emergence of agentic systems, demanding a unified, proactive approach to adaptation across all sectors. Full article

Because of their potential to enhance pathways for diagnosis and treatment, a great deal of research has been conducted to identify brain biomarkers of mental illnesses such as depression and anxiety. Similarly, the investigation of the biomarkers of those protective factors that help individuals resist, or recover from, these mental illnesses is also directly relevant to clinical practice. One such protective factor is Psychological Resilience (PR) but relatively little is known about its neurobiological underpinnings. A literature search was conducted of electroencephalographic data and PR, revealing seven studies that reported brain electrical activity categorised into bands of specified frequencies. Several studies reported significant associations between PR and alpha band activity, and somewhat less on beta band activity, principally via their roles in emotion regulation and problem solving. However, despite having a major role in many aspects of cognition and brain function, and being implicated in depression, only two studies examined gamma band activity specifically, and their results were equivocal. Several possible reasons for these apparently null results of the association between gamma band activity and PR are discussed, leading to a brief description of gamma, and suggestions for future research into its association with PR. Full article

This paper presents a novel ontology-driven digital twin framework specifically designed for aviation maintenance and operations that addresses these challenges through semantic reasoning and explainable decision support. The proposed framework integrates seven interconnected ontologies—structural, functional, behavioral, monitoring, maintenance, lifecycle, and environmental. It collectively provides a comprehensive semantic representation of aircraft systems and their operational context. Each ontology is mathematically formalized using description logics and graph theory, creating a unified knowledge graph that enables transparent, traceable reasoning from sensor observations to maintenance decisions. The digital twin is formally defined as a 6-tuple that incorporates semantic transformation engines, cross-ontology mappings, and dynamic reasoning mechanisms. Unlike traditional data-driven approaches that operate as black boxes, the ontology-driven framework provides explainable inference capabilities essential for regulatory compliance and safety certification in aviation. The semantic foundation enables causal reasoning, rule-based validation, and context-aware maintenance recommendations while supporting standardization and interoperability across manufacturers, airlines, and regulatory bodies. The research contributes a mathematically grounded, semantically transparent framework that bridges the gap between domain knowledge and operational data in aviation maintenance. This work establishes the foundation for next-generation cognitive maintenance systems that can support intelligent, adaptive, and trustworthy operations in modern aviation ecosystems. Full article

Remote intelligence testing has multiple advantages, but cheating is possible without proper supervision. Proctoring aims to address this shortcoming, yet prior research on its effects has primarily investigated reasoning tasks, in which cheating is generally difficult. This study provides an overview of recent research on the effects of proctoring and on studies in intelligence test settings. Moreover, we conducted an empirical study testing the effects of webcam-based proctoring with a multidimensional intelligence test measuring reasoning, short-term memory, processing speed, and divergent thinking. The study was conducted in a low-stakes context, with participants receiving a fixed payment regardless of performance. Participants completed the test under proctored (n = 74, webcam consent), unproctored random (n = 75, webcam consent), or unproctored chosen (n = 77, no webcam consent) conditions. Scalar measurement invariance was observed for reasoning, processing speed, and divergent thinking, but not for memory. Proctoring had no significant main effect on test performance but showed a significant interaction with test type. Proctored participants outperformed the unproctored chosen group significantly in divergent thinking and scored descriptively higher in reasoning and processing speed, but slightly lower in memory. Observable cheating under proctored conditions was rare (4%), mostly involving note-taking or photographing the screen. We conclude that proctoring is crucial for easily cheatable tasks, such as memory tasks, but currently less critical for complex cognitive tasks. Full article

Graphical analogical reasoning ability is crucial for the cognitive development of children with autism spectrum disorder (ASD). However, there are currently no methods available to enhance its analogical reasoning potential. This study aims to explore whether computerized dynamic assessment (CDA) can tap into the potential of children with ASD in graphical analogical reasoning, and simultaneously analyze the influence of the initial abilities of children with autism on their analogical reasoning potential. A total of 71 children with ASD were selected for the study and randomly divided into two groups: (1) the experimental group, namely the computerized dynamic assessment group; (2) the control group, namely the non-computerized dynamic assessment group. Both groups went through three stages: pretest, intervention, and posttest. The research results (including performance, time taken, and eye-tracking analysis) show that compared with non-DA, CDA enables more children to reach medium and high levels of learning potential score. CDA can effectively improve the figural analogical reasoning ability of autistic children in the short term, enhance their attention to learning materials, and boost their answering efficiency. However, this promotion effect is difficult to sustain in the long term. Autistic children with the same initial ability levels show significant differences in learning potential after computerized dynamic assessment because everyone has personalized characteristics. Among children with different initial ability levels, those with lower initial abilities benefit more significantly from dynamic assessment. Full article

Background/Objectives: Sequence learning, the ability to pick up on regularities in our environment to facilitate behavior, is critically dependent on striatal structures in the brain, with the putamen emerging as a critical hub for implicit sequence learning. As the putamen is known to shrink with age, and age-related declines in sequence learning abilities are common, it has been hypothesized that the structural integrity of the putamen is likely related to sequence learning outcomes. However, the structural literature is sparse. One reason may be that traditional structural imaging measures, like volume, are not sufficiently sensitive to measure changes that are related to performance outcomes. We propose that magnetic resonance elastography (MRE), an emerging neuroimaging tool that provides quantitative measures of microstructural integrity, may fill this gap. Methods: In this study, both sequence learning abilities and the structural integrity of the putamen were assessed in 61 cognitively healthy middle-aged and older adults (range: 45–78 years old). Sequence learning was measured via performance on the Serial Reaction Time Task. Putamen integrity was assessed in two ways: first, via standard structural volume assessments, and second, via MRE measures of tissue integrity. Results: Age significantly correlated with both putamen volume and stiffness but not sequence learning scores. While sequence learning scores did not correlate with volume, MRE-derived measures of putamen stiffness were significantly correlated with learning outcomes such that individuals with stiffer putamen showed higher learning scores. A series of control analyses were performed to highlight the specificity and sensitivity of this putamen stiffness–sequence learning relationship. Conclusions: Together these data indicate that microstructural changes that occur in the putamen as we age may contribute to changes in sequence learning outcomes. Full article

Hairless canary seed (Phalaris canariensis L.) can play significant roles in human health and nutrition due to its unique nutrient profile. It belongs to the Gramineae family similar to common cereal grains like wheat, rice and corn. On the other hand, the traditional canary seed is characterized by the presence of silicified spicules or hairs on the hulls of the kernel that could pose health hazards to humans. The hairless canary seed was developed in Canada by a conventional breeding program to mitigate the health concerns associated with the silicified hairs. The hairless grain is silica free, i.e., totally glabrous, and is granted regulatory food approvals by Health Canada and US-FDA. The hairless grain holds a great potential as a whole grain functional food ingredient due to its unique nutritional and functional attributes. As a cereal grain, it is rich in protein that is non-gluten and exceptionally high in tryptophan and bioactive peptides. The grain also contains reasonable amounts of carotenoids, polyphenols, and healthy unsaturated oil. Because of these special characteristics, it is considered a promising nutritious and therapeutic food. This review provides insights into the potential of hairless canary seed as a functional ingredient in products designed to mitigate oxidative stress, diabetes and celiac disease and/or to improve vision and cognition. Full article

Background/Objectives: Cognitive Disengagement Syndrome (CDS) is a clinical condition primarily characterized by inattention, hypoactivity, and mind-wandering, which has not yet been recognized as an official diagnostic category. Although there are overlaps between CDS and ADHD, evidence supports the semi-independence of CDS from the ADHD-Inattentive subtype. Importantly, while the impact of ADHD on parenting styles has been studied, no previous research has investigated the potential influence of CDS difficulties on parenting behaviors. Both CDS and ADHD are associated with internalizing and externalizing symptoms, which are influenced by negative parenting styles. The severity of ADHD is known to predict the use of dysfunctional parenting patterns; however, no studies have yet investigated how CDS difficulties might affect parenting styles. Due to the similarities between CDS and ADHD, it is reasonable to hypothesize a similar relationship. This study aims to examine the potential mediating role of parenting styles—both negative and positive—in the relationship between CDS difficulties and internalizing and externalizing symptoms. Methods: The sample is composed of 369 Italian school-aged children (9.38 ± 2.34 years old). Parents reported on their children’s psychopathology, CDS difficulties, and their own parenting strategies. Results: Analyses conducted using Hayes’ PROCESS tool indicated that only negative parenting styles partially mediated the relationship between CDS difficulties and parent-reported youth anxiety, depression, and oppositional defiant disorder. Conclusions: These findings highlight the importance of interventions aimed at both addressing CDS in children and improving parenting strategies to enhance youth psychopathological outcomes. Full article

This study investigates the use of GeoGebra, a Dynamic Geometry Software (DGS) for math learning in Virtual Reality (VR) using head-mounted displays. We conducted a study with n = 20 middle school students receiving a mathematics tutoring intervention over time in a VR environment. Using theories of embodied cognition and playful mathematics, this paper focuses on distinguishing between mathematical play and general play in VR environments. We also look at interactions that led to instances of play. Key findings highlight how mathematical play in an immersive VR environment using DGS allows mathematical misconceptions to surface, students to explore mathematical ideas, and opportunities for mathematical reasoning about target concepts to build off play experiences. General play allows for the embodied engagement of learners in the mathematical learning environment and includes engagement and rapport-building. The integration of play fits well into VR environments that uniquely allow for immersion and embodiment, and play should be purposefully integrated into such VR environments in the future. Full article

Background and Objectives: Cochlear implantation (CI) is a surgical procedure that offers significant benefits to individuals with sensorineural hearing loss, particularly in pediatric patients, as it can prevent long-term cognitive impairment. Despite the devices being designed for lifelong use, complications may necessitate explantation and subsequent reimplantation. Materials and Methods: Our retrospective study analyzes the incidence and causes of such procedures in pediatric CI patients over a period of 15 years, from May 2009 to June 2025. The study included patients aged between 8 months and 17 years, recording their age, the manufacturers of their first and second implants, the reasons for explantation and reimplantation, and the type of electrode array used during the second surgery. Results: During the study period, a total of 440 cochlear implantations were performed in our department. The primary causes of explantation in our study group were device hardware failures in 2.27% of cases, seromas over the implant body or antenna in 0.68% of cases, spontaneous extrusion in 0.22% of cases, and local trauma with electrode displacement in 0.22% of cases. The study confirmed that hardware failures were the most common reason for reimplantation, with an incidence influenced by the device manufacturer and the extent of trauma to the device. Surgical observations highlight the challenges regarding electrode reimplantation and available electrode choices for the surgeon. Conclusions: The use of superior materials and advanced research in manufacturing can enhance implant reliability and reduce the number of surgical procedures required in the long term for pediatric patients. Any type of electrode array can be utilized in reimplantations if meticulous surgical techniques are applied. Full article

Alzheimer’s disease (AD) is a progressive neurodegenerative disorder characterised by cognitive decline, synaptic loss, and multifaceted pathology involving amyloid-β (Aβ) aggregation, tau hyperphosphorylation, neuroinflammation, and impaired proteostasis. In recent years, biologic therapies, such as monoclonal antibodies, vaccines, antisense oligonucleotides (ASOs), and gene therapies, have gained prominence as promising disease-modifying strategies. In this review, we provide a comprehensive synthesis of current biologic approaches under clinical evaluation for AD. Drawing on data curated from ClinicalTrials.gov (as of 2025), we systematically summarise the molecular targets, therapeutic modalities, mechanisms of action, trial phases, and sponsors of over 60 biologic agents. These include Aβ-directed antibodies targeting distinct conformers such as protofibrils, pyroglutamate-modified species, and soluble oligomers; tau-targeted immunotherapies and RNA-based interventions; and emerging platforms focused on neuroimmune modulation, peptide hormones, and microbiota-based strategies. Gene and RNA therapeutics, particularly ASOs and small interfering RNAs (siRNAs) delivered intrathecally or via lipid nanoparticles, are also reviewed for their potential to modulate intracellular targets with high specificity. We also analyse the historical landscape of biologic candidates that failed to reach approval, discussing key reasons for trial discontinuation, including lack of clinical efficacy, safety concerns (e.g., amyloid-related imaging abnormalities), or inadequate biomarker responses. These cases offer crucial insights for refining future drug design. Looking ahead, we highlight major challenges and evolving perspectives in AD biologic therapy: expanding therapeutic targets beyond Aβ and tau, overcoming delivery barriers to the brain, designing prevention-oriented and genetically stratified trials, and navigating regulatory and ethical considerations. Together, these efforts signal a paradigm shift in AD drug development, from symptomatic treatment to mechanism-based precision biologics. By integrating real-time clinical trial data with mechanistic insight, this review aims to inform both translational research and therapeutic innovation in AD. Full article

Background: Public beliefs about dietary risks, such as excessive salt intake, are often not isolated misconceptions but part of structured cognitive systems. This study aimed to explore how individuals organize their beliefs and misperceptions regarding salt-related health consequences. Material and Methods: Using data from an international online survey, we applied a system of multivariate proportional odds logistic regression (POLR) models to estimate conditional associations among beliefs about salt’s links to various diseases—including cardiovascular, metabolic, renal, neuropsychiatric, and mortality outcomes. In addition, exploratory and confirmatory factor analyses (EFA and CFA) were conducted to identify and validate latent constructs underlying the belief items. Beliefs were modeled as interdependent, controlling for latent constructs, sociodemographics, and self-reported health awareness. Statistically significant associations (p < 0.05) were visualized via a heatmap of beta coefficients. Results: Physicians showed almost universal agreement that salt contributes to hypertension (µ = 0.97), compared to non-medical respondents (µ = 0.85; p < 0.0001). Beliefs about mortality (µ = 1.55 for MDs vs. 0.99 for non-medical; p < 0.0001) emerged as central hubs in the belief network. Strong inter-item associations were observed, such as between hypertension and heart failure (β = −0.39), and between obesity and type 2 diabetes (β = −0.94). Notably, cognitive gaps were found, including a lack of association between atrial fibrillation and stroke, and non-reciprocal links between hypertension and heart failure. Conclusions: Beliefs about the health effects of salt are structured and sometimes asymmetrical, reflecting underlying reasoning patterns rather than isolated ignorance. Understanding these structures provides a systems-level view of health literacy and may inform more effective public health communication and education strategies. Full article

Cognitive decline among older people is a growing concern worldwide since it impacts quality of life and independence. Recently, we reported that an epicatechin-enriched product improves cardiometabolic status, physical performance/mobility, and quality of life (QoL) in over-60-year-old subjects. Here, we explored the effects of an (−)-epicatechin-enriched cacao supplement on the cognitive conditions of older and sedentary individuals residing in a community center. Twelve persons with the inclusion criteria were included in this proof-of-concept study. We evaluated reasoning, memory, attention, coordination, and perception using CogniFit software, version 4.6.18. Patients received a mixture of cacao flour and 15 mg of free (−)-epicatechin twice daily for 3 months. The main results from the trial suggested a positive and significant improvement in perception, coordination, reasoning, attention, and memory. Full article

The rapid development of the Internet of Things (IoT) has enabled the implementation of interconnected intelligent systems in extremely dynamic contexts with limited resources. However, traditional paradigms, such as those using ECC-based heuristics and centralised decision-making frameworks, cannot be modernised to ensure resilience, scalability and security while taking quantum threats into account. In this case, we propose a modular architecture that integrates quantum-inspired cryptography (QI), epistemic uncertainty reasoning, the multiscale blockchain MuReQua, and the quantum-inspired decentralised storage engine (DeSSE) with fragmented entropy storage. Each component addresses specific cybersecurity weaknesses of IoT devices: quantum-resistant communication on epistemic agents that facilitate cognitive decision-making under uncertainty, lightweight adaptive consensus provided by MuReQua, and fragmented entropy storage provided by DeSSE. Tested through simulations and use case analyses in industrial, healthcare and automotive networks, the architecture shows exceptional latency, decision accuracy and fault tolerance compared to conventional solutions. Furthermore, its modular nature allows for incremental integration and domain-specific customisation. By adding reasoning, trust and quantum security, it is possible to design intelligent decentralised architectures for resilient IoT ecosystems, thereby strengthening system defences alongside architectures. In turn, this work offers a specific architectural response and a broader perspective on secure decentralised computing, even for the imminent advent of quantum computers. Full article