Search Results (20,272)

Cognitive Load Theory (CLT) has primarily been applied to individual learning, while research on collaborative learning under CLT remains inconclusive. This experimental study investigated the effect of collective working memory on cognitive load, writing performance, and learning efficiency among 150 Indonesian undergraduates. Participants were assigned to either an individual learning (control) or cooperative learning (experimental) condition. Baseline writing performance differed between groups, so gain scores were analyzed. Results showed that both groups improved significantly in writing performance, with no significant differences between conditions. Cognitive load increased slightly in the cooperative learning group, while learning efficiency showed a small positive trend. These findings suggest that cooperative learning may support writing performance and efficiency in complex tasks, although clear advantages over individual learning were not established. Further research is needed with balanced baseline groups and longer interventions. Full article

Long COVID, also referred to as post-acute sequelae of SARS-CoV-2 infection (PASC), is characterized by persistent multi-systemic symptoms such as fatigue, cognitive impairment, and respiratory dysfunction. Accumulating evidence indicates that gut and oral microbiota play an important role in its pathogenesis. Patients with long COVID consistently exhibit reduced microbial diversity, depletion of beneficial short-chain fatty acid (SCFA)-producing species such as Faecalibacterium prausnitzii and Bifidobacterium spp. and enrichment of proinflammatory taxa including Ruminococcus gnavus, Bacteroides vulgatus, and Veillonella. These alterations may disrupt intestinal barrier integrity, sustain low-grade systemic inflammation, and influence host immune and neuroendocrine pathways through the gut–brain and gut–lung axes. Distinct microbial signatures have also been associated with symptom clusters, including neuropsychiatric, respiratory, and gastrointestinal manifestations. Proposed mechanisms linking dysbiosis to long COVID include impaired SCFA metabolism, tryptophan depletion, microbial translocation, and interactions with host immune and inflammatory responses, including autoantibody formation and viral antigen persistence. Preliminary interventional studies using probiotics, synbiotics, and fecal microbiota transplantation suggest that microbiome-targeted therapies may alleviate symptoms, although evidence remains limited and heterogeneous. This review synthesizes current literature on the role of gut and oral microbiota in long COVID, highlights emerging microbial biomarkers, and discusses therapeutic implications. While causality remains to be firmly established, restoring microbial balance represents a promising avenue for diagnosis, prevention, and management of long COVID. Full article

Background: Movement is crucial for human development, particularly during childhood. Fundamental movement skills (FMSs) are essential movement patterns that support physical, cognitive, and social development. Recent studies indicate an alarming worldwide decline in FMS acquisition, potentially impacting children’s long-term physical fitness and health. This scoping review explored FMSs, their relationship to motor competence and physical literacy, associations with physical activity and fitness, assessment methods, and effective interventions. Methods: A comprehensive literature review was conducted using the PubMed, Web of Science, and Cumulative Index to Nursing and Allied Health Literature databases. The search utilized key phrases related to FMSs, motor competence, and physical literacy. Initially, 2251 publications were identified. Results: After rigorous screening, 95 English-language literature reviews and meta-analyses focusing on FMSs in healthy children were selected for detailed analysis. The accepted publications were categorized into five thematic areas: FMSs and motor development (11 publications), conceptual terms in FMS context (8 publications), relationships between FMSs and other parameters (15 publications), FMS assessment tools (14 publications), and intervention effects on FMSs (47 publications). Conclusions: Effective FMS acquisition requires collaborative interventions involving teachers, parents, sports professionals, and healthcare providers. Future research should focus on developing standardized assessment tools, interpreting FMSs as part of physical literacy to understand their association with PA level and design efficient intervention strategies. Full article

Background: Prader–Willi syndrome (PWS) is a rare syndrome that presents in about 1 in 25,000 newborns. It is characterized by a typical phenotype that includes short stature, hypothyroidism and hypogonadism, cognitive and developmental delays, slow growth, obesity, and, in most patients, scoliosis. These patients generally have a life expectancy of less than 60 years, with respiratory distress being the leading cause of death; scoliosis is not the primary cause of these respiratory problems, but may contribute to their worsening. Therefore, accurately diagnosing and managing scoliosis is crucial for improving the life expectancy of PWS patients. Previous studies have shown a limited effectiveness of bracing due to a combination of factors, including generalized hypotonia, rapid early progression, poor brace compliance, and thus frequent progression to surgical intervention. Case presentation: This case report presents a 20-year follow-up of a female patient with PWS. Multiple clinical parameters were collected at every follow-up appointment. Throughout this extended observation and treatment period, the patient used two push-up braces of different rigidity, resulting in improvements in the thoracic and lumbar Cobb angle and the thoracic angle of trunk rotation. The treatment protocol was based on a shared decision with the parents and the patient. Conclusions: This case demonstrates how consistent and thorough follow-up can result in a successful, conservative treatment of a severe secondary scoliosis, thereby preventing the need for a major surgical procedure during growth. Full article

Background: Early childhood is crucial for motor and cognitive development, with physical activity playing a key role. Mini-trampoline exercises may offer an effective approach to enhance these domains. Methods: This study assessed the effects of a mini-trampoline program on executive functions and motor skills in Tunisian preschoolers. Fifty-four children (age 3.87 ± 0.47 years) participated in a 12-week intervention, divided into a control group (n = 27), following standard activities, and an experimental group (n = 27), engaging in mini-trampoline exercises. Pre- and post-tests measured motor skills like postural steadiness, balance, and coordination, as well as cognitive functions, including working memory (WM) and inhibition. Results: Significant improvements were observed in the experimental group for functional mobility, postural steadiness, lower body strength, and inhibition (p < 0.001), whereas the control group showed minimal changes. ANOVA revealed no significant group × time effects, except for a trend in postural steadiness (p = 0.062), suggesting a potential benefit of the intervention. Conclusions: These findings highlight the potential of mini-trampoline exercises to enhance motor skills and specific executive functions in preschoolers, supporting their overall development. Full article

Background: Frailty is a multidimensional syndrome reflecting reduced physiological reserve, increasingly recognized as a relevant factor in the clinical assessment of older adults with cognitive disorders. Objective: To explore the association between frailty, as measured by the Multidimensional Prognostic Index (MPI), cognitive performance, and plasma biomarkers of Alzheimer’s disease (AD), and to examine the correlation between plasma and cerebrospinal fluid (CSF) biomarkers. Methods: This cross-sectional observational study included 40 patients (mean age 68.0 ± 9.0 years; 42.5% female) undergoing a diagnostic workup for cognitive decline. Patients were classified into AD (n = 20) and non-AD (n = 20) groups based on CSF AT[N] profiles. Frailty was assessed using the MPI. Linear and logistic regression models adjusted for age, sex, and education examined associations between MPI, cognitive scores, and plasma biomarkers (Aβ42, Aβ42/40, p-tau181, NfL). Correlations between plasma and CSF biomarkers and ROC analyses were also performed. Results: The AD group showed significantly higher plasma p-tau181 levels and MPI scores. MPI was positively associated with plasma p-tau181 levels (β = 4.26, p = 0.009). Plasma p-tau181 correlated strongly with CSF p-tau181 (R = 0.523, p < 0.001) and with CSF Aβ42/40 ratio (R = −0.541, p < 0.001) and showed high diagnostic accuracy (AUC = 0.910). Combining MPI with plasma biomarkers improved classification between AD and non-AD cases (AUC = 0.941). Conclusions: These findings support the value of incorporating frailty assessment in the diagnostic process of AD. The integration of geriatric tools and blood-based biomarkers may improve early detection and promote a more comprehensive approach in dementia evaluation. Full article

This paper introduces and validates a comprehensive instrument designed to measure financial literacy, its underlying determinants, and to assess how factors such as planning affect financial vulnerability and fraud in Brazil. This work represents a crucial step toward achieving several Sustainable Development Goals (SDGs). The study utilizes a two-fold methodology. First, Confirmatory Factor Analysis (CFA) is used to validate a six-component model consisting of Financial Literacy, Vulnerability, Fraud, Cognitive Reflection, Crypto Literacy, and Planning. This analysis is followed by the development and interpretation of a Random Forest model, which was identified as the best-performing predictor in a comparison of seven machine learning algorithms. The CFA results showed that Financial Planning has a stronger negative correlation with Financial Vulnerability (−0.642) and Fraud (−0.375) than Financial Literacy does. This evidence was further supported by the machine learning analysis; analyses using both SHAP and LIME identified Financial Planning as the strongest predictor of financial vulnerability and fraud. The analysis further showed significant social inequalities in the developed models and identified the gender variable (female) as an important predictor of enhanced financial vulnerability. Converging evidence from both CFA and machine learning confirms that sound planning practices are more important than financial knowledge in reducing financial distress. Our findings provide a solid foundation for the development of inclusive public policy that promotes behavioral change, aiming to reduce systemic inequalities (SDG 10) and achieve sustainable economic stability (SDG 8), thereby supporting social goals and the Sustainable Development Goals. Full article

Background: Insomnia is markedly more prevalent in rheumatoid arthritis (RA) patients than in the general population and is closely linked to pain, fatigue, psychological comorbidities, and systemic inflammation. Evidence suggests a bidirectional relationship, where active disease worsens sleep quality, while poor sleep amplifies inflammatory activity and symptom severity. Methods: A narrative review was conducted using PubMed, Scopus, Web of Science, and Embase to identify studies from the last 15 years involving adult RA patients. Inclusion criteria required assessment of insomnia or sleep quality in relation to disease activity, treatment outcomes, or inflammatory markers. Data from clinical trials, cohort studies, and reviews were synthesized to examine prevalence, mechanisms, and therapeutic implications. Results: Insomnia affects up to 45% of RA patients and correlates with higher DAS28 scores, elevated CRP/ESR, increased pain sensitivity, and reduced quality of life. Contributing factors include chronic pain, stiffness, elevated IL-6 and TNF-α, depression, anxiety, and medication side effects. Conventional DMARDs, corticosteroids, and biologics indirectly improve sleep via inflammation control, with IL-6 inhibition showing potential sleep-specific benefits. Psychotropic agents may help in comorbid depression/anxiety but are best combined with cognitive behavioral therapy for insomnia (CBT-I). Conclusions: Insomnia is a prevalent, multifactorial problem in RA that adversely affects disease activity, symptom burden, and functional outcomes. Integrating sleep evaluation into routine RA management and adopting interdisciplinary strategies that address both inflammation and sleep disturbance may enhance patient outcomes. High-quality longitudinal studies using objective sleep measures are needed to clarify causal relationships and optimize therapy. Full article

Introduction: Bisphenol A (BPA) is a synthetic compound widely used in plastics and epoxy resins, and human exposure is virtually unavoidable. Numerous studies indicate that even doses below current regulatory limits may elicit neurotoxic effects, impairing learning, memory, and synaptic plasticity. Methodology: This mini-review. Searches were conducted in PubMed, the Virtual Health Library (VHL/BVS), and ScienceDirect, using MeSH descriptors related to “Bisphenol A,” “Neurotoxicity Syndromes,” “Central Nervous System,” and “Prefrontal Cortex,” combined with Boolean operators. We included studies published between 2007 and 2025, available in English, Portuguese, or Spanish, and focused on the neurotoxic effects of BPA. After screening and application of the eligibility criteria, twelve articles were selected. Results: The analyzed studies show that BPA exposure, even at low concentrations, compromises neuronal survival, dendritic density, and synaptic plasticity. In animal models, cognitive deficits were observed in memory and learning tasks, associated with increased oxidative stress and alterations in molecular pathways such as AMPK, HO-1, and nNOS/Keap1/Nrf2. In cell cultures, BPA induced apoptosis, autophagy dysfunction, cytoskeletal reorganization, and loss of synaptic proteins. The effects were dose-dependent and, in some cases, sex-dependent. Conclusions: BPA exhibits significant neurotoxic potential, affecting both the development and function of the central nervous system. These findings underscore the need to revise current safety limits and reinforce the importance of public policies regulating BPA use, as well as encouraging the search for safer alternatives. Full article

Background: Childhood and adolescence are increasingly recognized as life stages that pose specific challenges for treating and promoting mental health and cognitive development. Objective: The objective of the present study was to determine the potential mediating role of good mental health in the association between an unhealthy lifestyle (i.e., low physical activity (PA) and high screen time (ST)) with executive functions (EFs) (i.e., attention, inhibition, cognitive flexibility, and working memory) in children and adolescents. Methods: A cross-sectional investigation with 625 students aged 10–17 years participated. The Krece Plus questionnaire (lifestyle, PA, and ST), Depression Anxiety and Stress Scale (DASS-21, metal health), and CogniFit (EFs) were used in the present study. Results: Good mental health presented a partial mediating role in the relationship between a bad lifestyle and EFs. Likewise, a bad lifestyle was linked inversely to attention (β −37.45, p = 0.002), the executive function of cognitive flexibility (β −85.91, p < 0.001), inhibition (β −60.16, p < 0.001), and working memory (β −75.73, p < 0.001). Conclusions: Good mental health acts as a relevant mediator in child and adolescent cognitive development. These results reinforce the need to promote active and healthy lifestyles, as well as strategies that promote psychological wellbeing from an early age. Schools and families play an important role as protective agents and promoters of integral development; it is therefore recommended to implement intervention programmes that strategically address the physical activity, mental health, and digital habits of this population. Full article

This paper presents a comparative study on the transdisciplinary design of resilient urban subcenters, examining the interplay between human-led and artificial intelligence (AI)-generated design approaches. By employing holistic design methods, we prepare and present revitalization projects for two areas of urban space. Our goal was to create a resilient urban subcenter that contributes to the development of a resident. The first revitalized site reflects the multicultural past of the city. The second project addresses the need to revitalize a subcenter reserved for residents. In the non-AI approach, holistic design is implemented across various universities, fields, and academic disciplines—the humanities, social sciences, engineering, and the arts. Transdisciplinary teams of sociologists, engineers, interior designers, architects, urban geographers, and acousticians transcend workshop limitations as well as cognitive boundaries, promoting the creation of new, unconventional knowledge. The AI-integrated approach employs artificial intelligence in a dual capacity: both as a generator of alternative design visions and as an analytical tool for assessing technological readiness. The findings contribute to the evolving discourse on sustainable urban development and the transformative potential of technology in transdisciplinary design practices. Full article

Mild cognitive impairment (MCI), a transitional stage between normal aging and Alzheimer’s disease (AD), comprises three potential trajectories: reversion, stability, or progression. Accurate prediction of these trajectories is crucial for disease modeling and early intervention. We propose a novel analytical framework that integrates a healthy control–AD difference template (HAD) with a large-scale Granger causality algorithm based on long short-term memory networks (LSTM-lsGC) to construct effective connectivity (EC) networks. By applying principal component analysis for dimensionality reduction, modeling dynamic sequences with LSTM, and estimating EC matrices through Granger causality, the framework captures both symmetrical and asymmetrical connectivity, providing a refined characterization of the network alterations underlying MCI progression and reversion. Leveraging graph-theoretical features, our method achieved an MCI subtype classification accuracy of 84.92% (AUC = 0.84) across three subgroups and 90.86% when distinguishing rMCI from pMCI. Moreover, key brain regions, including the precentral gyrus, hippocampus, and cerebellum, were identified as being associated with MCI progression. Overall, by developing a symmetry-aware effective connectivity framework that simultaneously investigates both MCI progression and reversion, this study bridges a critical gap and offers a promising tool for early detection and dynamic disease characterization. Full article

Immersive virtual reality (IVR) has demonstrated significant potential in educational contexts. Nonetheless, prior IVR implementations have primarily focused on visual and auditory simulations, neglecting olfaction, which has limited immersive learning. To address this gap, we conducted an experimental study involving 64 students to examine the impact of integrating olfactory stimulus into IVR systems for fire safety training. Participants were randomly assigned to the control group (without olfactory stimulus, n = 32) or the experimental group (with olfactory stimulus, n = 32). The results indicated that the integration of olfactory stimulus significantly promoted high-arousal positive emotions, increased sense of presence, and reduced cognitive load—although it did not significantly improve learning performance. Thematic analysis further revealed that the incorporation of olfactory stimulus provided learners with an immersive learning experience. Moreover, this IVR system with olfactory stimulus had a high quality of experience. These findings have significant implications for the practice of learning in IVR and multisensory learning theory. Full article

Mentha essential oils (EOs), renowned for their distinctive aromas and diverse biological activities, represent a key focus in phytochemical and pharmacological research. While numerous reviews have documented the general properties of mint EOs, a systematic and critical synthesis of recent advances linking chemotypic diversity to biosynthetic mechanisms and evidence-based health benefits remains lacking. This review aims to address this gap by comprehensively analyzing the structural variability of EOs across major Mentha species, elucidating the chemotype-dependent enzymatic and genetic regulation within the plastidial methylerythritol phosphate (MEP) pathway, and evaluating preclinical and clinical evidence supporting their health-promoting activities, including antimicrobial, antioxidant, anti-inflammatory, digestive, respiratory, cognitive-enhancing, and anticancer effects. By integrating findings from cutting-edge transcriptomic and genomic studies, we highlight how genetic variations and epigenetic factors influence monoterpene biosynthesis and ultimately shape bioactivity profiles. Furthermore, we critically assess challenges related to EO standardization, bioavailability, and clinical translation, and propose interdisciplinary strategies, such as metabolic engineering, nano-delivery systems, and structured clinical trial designs to overcome these barriers. This review not only consolidates the current understanding of Mentha Eos, but also provides a forward-looking perspective on their potential applications in functional foods, pharmaceuticals, and personalized health products. Full article

In the context of the digital transformation of healthcare organisations, this study investigates the critical role of sustained learning, employee readiness, and supportive learning conditions to enable digital service offerings. Drawing on dynamic capabilities theory, we conceptualise and empirically test a multilevel model, exploring how sustained learning behaviour and mindset shape the Ability–Motivation–Opportunity (AMO) framework at the individual level. Furthermore, we analyse how workplace learning mediates the relationship between AMO on service outcomes at an organisational level, with sector affiliation as a moderating factor. Data were collected from 856 participants with online surveys and analysed with PLS-SEM. The results confirmed that sustained learning significantly enhances individual readiness (ability, motivation, and opportunity), which in turn positively influences digital services. Workplace learning was found to be a potent mediator, and sector affiliation significantly moderated the relationship between workforce enhancement and digital service outcomes. These findings underline the importance of embedding an employee sustained learning mindset and behaviour as an organisational capability, beyond technical implementation. The results suggest that a successful digital transformation hinges on cognitive and behavioural learning engagement, supported by supportive learning structures and context-specific strategies. Full article