Search Results (1,052)

This paper presents a scalable and low-cost Retrieval Augmented Generation (RAG) architecture designed to enhance learning in university-level courses, with a particular focus on supporting students from economically disadvantaged backgrounds. Recent advances in large language models (LLMs) have demonstrated considerable potential in educational contexts; however, their adoption is often limited by computational costs and the need for stable broadband access, issues that disproportionately affect low-income learners. To address this challenge, we propose a lightweight, mobile, and friendly RAG system that integrates the LLaMA language model with the Milvus vector database, enabling efficient on device retrieval and context-grounded generation using only modest hardware resources. The system was implemented in a university-level Data Mining course and evaluated over four semesters using a quasi-experimental design with randomized assignment to experimental and control groups. Students in the experimental group had voluntary access to the RAG assistant, while the control group followed the same instructional schedule without exposure to the tool. The results show statistically significant improvements in academic performance for the experimental group, with p < 0.01 in the first semester and p < 0.001 in the subsequent three semesters. Effect sizes, measured using Hedges g to account for small cohort sizes, increased from 0.56 (moderate) to 1.52 (extremely large), demonstrating a clear and growing pedagogical impact over time. Qualitative feedback further indicates increased learner autonomy, confidence, and engagement. These findings highlight the potential of mobile RAG architectures to deliver equitable, high-quality AI support to students regardless of socioeconomic status. The proposed solution offers a practical engineering pathway for institutions seeking inclusive, scalable, and resource-efficient approaches to AI-enhanced education. Full article

Elevated atmospheric CO₂ is known to alter plant physiology, yet its specific effects on nutrient-rich leafy vegetables remain insufficiently quantified. This study aimed to examine how eCO₂ influences yield and nutritional quality in kale (Brassica oleracea) and spinach (Spinacia oleracea) through the first meta-analysis focused exclusively on these crops. Following the Collaboration for Environmental Evidence (CEE) guidelines, we systematically reviewed eligible studies and conducted a random-effects meta-analysis to evaluate overall and subgroup responses based on CO₂ concentration, crop type and exposure duration. Effect sizes were calculated using Hedges’ g with 95% confidence intervals. The analysis showed that eCO₂ significantly increased biomass in spinach (g = 1.21) and kale (g = 0.97). However, protein content declined in both crops (spinach: g = −0.76; kale: g = −0.61), and mineral concentrations, particularly calcium and magnesium, were reduced, with spinach exhibiting stronger nutrient losses overall. The variability in response across different CO₂ concentrations and exposure times further underscores the complexity of eCO₂ effects. These results highlight a trade-off between productivity and nutritional quality under future CO₂ conditions. Addressing this challenge will require strategies such as targeted breeding programmes, biofortification, precision agriculture and improved sustainable agricultural practices to maintain nutrient density. This research provides critical evidence for policymakers and scientists to design sustainable food systems that safeguard public health in a changing climate. Full article

Autism spectrum disorder (ASD) and intellectual disability (ID) frequently coexist and share heterogeneous cognitive manifestations, yet their specific performance patterns on Wechsler scales remain poorly systematized. This meta-analysis synthesized data from 31 studies using the WISC-IV, WISC-V, WAIS-III, and WAIS-IV to compare cognitive index profiles in individuals with ASD, ID and ASD+ID. Standardized mean differences (Hedges’ g) were calculated using random-effects models, adopting a normative reference of mean 100 and SD 15. Results showed a distinct profile for ASD, with greater impairments in the Processing Speed Index (PSI) and Working Memory Index (WMI), while the Vocabulary Comprehension Index (VCI), Perceptual/Fluid Reasoning Index (PRI/FRI), and Visual Processing Index (VPI) remained close to normative scores. In contrast, ID and ASD+ID exhibited generalized deficits across all indices, with the lowest scores in Full-Scale IQ (FSIQ) and broad effects above g = −2.5. No significant differences emerged between Wechsler versions or age-based test types. Heterogeneity was high in ASD and ID across outcomes, but negligible in ASD+ID due to reduced k. These findings reinforce that ASD presents a specific cognitive pattern, whereas ID and ASD+ID display diffuse impairment, and that Wechsler scales are consistent across versions for identifying these profiles. Full article

Mindful hypnotherapy is an intervention that integrates hypnotic induction and direct suggestions (hypnosis) to increase mindfulness and reduce distress. In the present study, a systematic review and meta-analysis were conducted to investigate the effects of mindful hypnotherapy on psychological distress and mindfulness in adults. Further, the study evaluated the methodological quality of the included studies. A total of five publications of randomized controlled trials were identified. This meta-analysis found that, when compared to both waitlist and active control groups, mindful hypnotherapy had a large effect on the reduction in psychological distress (Hedges’ g = 0.61, 95% CI [0.10, 1.12], z = 2.36, p = 0.0188) and stress (Hedges’ g = 0.75, 95% CI [0.34, 1.16]; z = 3.58, p = 0.0003). Further, results also found mindful hypnotherapy had a large effect on increasing mindfulness (Hedges’ g = 1.38, SE = 0.28; 95% CI [0.83, 1.92]; z = 4.9146, p < 0.001). Recommendations include conducting research examining mindful hypnotherapy in a wider range of clinical problems (i.e., generalized anxiety disorder, depression, post-traumatic stress). In addition, clinical trials of mindful hypnotherapy should include active controls and measures of hypnotizability. Further research is also needed with diverse populations. Full article

(1) Background: School-based mental health interventions represent a promising approach to address the substantial treatment gap affecting adolescents, with only 20% of youth with diagnosable mental health conditions receiving adequate care. (2) Methods: This meta-analysis synthesized evidence from 18 randomized controlled trials to examine the effectiveness of school-based mental health interventions and potential moderators of outcomes. (3) Results: Using Hedges’ g as the effect size index and a random-effects model, the analysis revealed a statistically significant overall effect size of 0.068 (95% CI [0.019, 0.117], p = 0.006), indicating small but reliable improvements in adolescent academic, social, emotional, behavioral, and mental health outcomes. Heterogeneity across studies was minimal (I² = 15%), suggesting consistent effects across diverse intervention types and contexts. Meta-regression analyses examining eight potential moderators including intervention focus, grade level, provider type, delivery format, duration, study design, geographic location, and theoretical foundation did not reveal statistically significant moderation effects, likely due to limited statistical power. However, descriptive patterns suggested that targeted interventions, small-group formats, and interventions delivered by mental health professionals may produce larger effects than universal programs, classroom-based approaches, and teacher-delivered interventions. (4) Conclusions: These findings support continued investment in school-based mental health programming while highlighting the need for specialized focus to optimize outcomes for all adolescents. Full article

Aerobic exercise with eicosapentaenoic acid (EPA) may enhance cognition via cerebrovascular pathways. We tested whether mild hyperbaric oxygen (HBO; 1.41 atmospheres absolute [ATA], approximately 30% O₂) adds to gains in cognitive processing capacity (throughput) versus normobaric normoxia (1.0 ATA, approximately 21% [20.9%] O₂). Healthy young adults (n = 16) performed cycling exercise at 60–70% VO_2peak for 60 min, twice weekly, for 4 weeks per environment with a 1-week washout; EPA (2170 mg·day⁻¹) was taken during each 4-week training phase (total 8 weeks) and was paused during the washout. An EPA-only control (n = 8) was included for supplementary analysis. The primary outcome was throughput (correct·min⁻¹; T1–T4); secondary outcomes were interference indices (I1: stroop interference, I2: reverse-stroop interference). Effects were estimated using linear mixed models [environment, time, environment × time; AR(1), REML] and Hedges’ g_av; accuracy used generalized estimating equations. Throughput improved mainly with time (T1–T2 p < 0.001; T4 p = 0.017; T3 p = 0.055), with no environment or interaction effects. I1/I2 showed no significant change, and one task exhibited an accuracy ceiling. Under safe, feasible conditions (≤1.41 ATA), aerobic exercise improved processing capacity (throughput) independently of environmental oxygenation level. The absence of detectable additive effects should be interpreted cautiously under conservative settings. Full article

Background: Commercial cognitive training programs are widely marketed as tools for enhancing cognitive performance, yet training-related task-related brain activation changes remain incompletely characterized. This preregistered meta-analysis aimed to synthesize evidence on whether commercially available cognitive training is associated with improvements in cognitive function and convergent alterations in task-related brain activation, and to explore factors that may moderate these effects. Methods: A multivariate meta-analysis was conducted on behavioral outcomes to estimate the overall effect of training on cognitive performance. Task-based neuroimaging findings were synthesized using a coordinate-based neuroimaging meta-analysis to identify consistent activation changes associated with training. Exploratory analyses examined whether participant characteristics and training parameters were associated with training-related activation changes and whether these changes were related to cognitive improvement. Results: Commercial cognitive training was associated with a significant moderate improvement in cognitive performance (Hedges’ g = 0.485; 95% CI = 0.149–0.821; t = 2.924; p = 0.006). Neuroimaging analyses revealed increased activation in the left anterior cingulate cortex (L.ACC), right inferior frontal gyrus (R.IFG) and right superior temporal gyrus (R.STG), together with decreased activation in the right supplementary motor area (R.SMA). In exploratory analyses, training frequency, compliance and age were associated with differences in training-related brain activation. Activation within the L.ACC and R.IFG was significantly related to cognitive improvement. Conclusions: Commercial cognitive training was associated with cognitive gains and convergent task-related activation differences across studies. These findings provide the first quantitative neuroimaging synthesis of commercial cognitive training and highlight training frequency, compliance and age as potential moderators of training-related neural outcomes. Full article

Background: Type 2 diabetes mellitus (T2DM) is a major public health problem in Thailand, particularly in rural areas where individuals have limited access to structured diabetes care and education. Poor self-management contributes to uncontrolled glycemic levels and long-term complications. Objectives: This study evaluated the effectiveness of a community-based health care program on glycemic control and self-care behaviors among adults with uncontrolled T2DM. Methods: A quasi-experimental study was conducted among 80 patients with uncontrolled T2DM in Kalasin Province. Participants were assigned to either an intervention group (n = 40) or a comparison group (n = 40). The 12-week intervention consisted of diabetes self-management education, individualized lifestyle support, and community/family engagement. Diabetes self-care behavior and glycated hemoglobin (HbA1c) were assessed at baseline and Week 12. Statistical analyses included paired t-test, independent t-test, and 95% confidence intervals. Results: The intervention group demonstrated a significant improvement in self-care behavior (MD = 14.83; p < 0.0001), compared with a minimal change in the comparison group (0.80; p = 0.756). HbA1c levels significantly decreased in the intervention group (−0.47%; 95% CI: −0.61 to −0.33; p < 0.0001), while a slight nonsignificant increase was observed in the comparison group (0.11%; p = 0.210). The between-group analysis showed a significant reduction in HbA1c favoring the intervention (−0.92%; p < 0.0001), supported by a large effect size (Hedges’ g = 0.87). Conclusions: This community-based health care program effectively enhanced diabetes self-management behaviors and improved glycemic control. Integrating such behavioral support into primary health care services may strengthen long-term diabetes management and reduce complications among patients with uncontrolled T2DM. Full article

Berberis amurensis var. quelpaertensis (Nakai) Nakai is an endemic shrub species in Korea with considerable conservation importance; however, information regarding its propagation remains limited. This study aimed to characterize its seed dormancy type and identify optimal germination requirements. Water imbibition tests demonstrated that seed weight increased by >21% in 24 h, indicating a permeable seed coat and the lack of physical dormancy (PY). Additionally, morphological analysis revealed that embryos were completely developed at the time of seed dispersal, indicating the non-occurrence of morphophysiological dormancy (MPD). The results from modified move-along and stratification experiments showed that germination was notably enhanced by cold stratification at 5 °C; however, it also occurred following a prolonged period (>68 weeks) of warm stratification alone. Therefore, we conclude that the seeds of B. amurensis var. quelpaertensis exhibit intermediate physiological dormancy, which may represent a “bet-hedging” strategy adapted to the unique conditions of their alpine environment. Full article

This study investigates the return and volatility transmissions between petroleum prices and stock sector indices of 7 net petroleum-exporting and 19 net petroleum-importing countries over the period from January 2005 to September 2018. Given that indices representing sectors of most considered countries are not available, a unique approach is implemented to manually construct sector indices using daily data of 5768 stocks listed in 10 sectors. The VAR-GARCH model is applied that allows to capture bilateral volatility interactions. Furthermore, the estimates of the model are employed to analyse optimal portfolio holdings and hedge ratios. The findings reveal significant volatility transmissions between petroleum prices and stock sector indices of exporters and importers. However, the direction and magnitude of spillover effects are country- and sector-specific. The optimal portfolio weights and hedge ratios indicate that sector indices of Saudi Arabia (net exporter) and China (net importer) offer better opportunities with respect to hedging petroleum price risks. Full article

Background/Objectives: This cross-sectional study aimed to evaluate the relationship between nutritional intake (energy, protein, calcium, number of meals, number of dairy products) and other factors (physical activity, past fractures, body composition) with forearm bone parameters in adolescent boys with myelomeningocele (MMC). Methods: This study included 63 boys with MMC aged 11.9 ± 1.8 years, 30 active boys with MMC and 33 inactive boys with MMC. Bone mineral density (BMD) and bone mineral content (BMC) in the distal (dis) and proximal (prox) parts of the forearm were measured by densitometry. Diet was assessed using an FFQ and 24 h dietary recalls. Energy, protein, and calcium intake were calculated using the Diet 6.0 software. Data were collected on past fractures and physical activity (PA min/day). Results: The active MMC group, compared to the inactive group, had significantly higher BMD dis and prox, BMC dis, and Z-scores (Hedges’ g: medium effect). Significant relationships between BMD dis were demonstrated with the number of dairy products (n/day) (F = 6.66; η² = 0.116) and protein intake (g/day) (F = 15.27; η² = 0.230). BMC dis was affected only by PA (min/day) (F = 9.80; η² = 0.161). The parameters affecting BMD prox were the number of dairy products (n/day) (F = 9.95; η² = 0.163) and protein (g/day) (F = 12.95; η² = 0.202). BMC prox was affected only by PA (min/day) (F = 4.39; η² = 0.079). Conclusions: Overall, bone health in boys with MMC appears to be primarily influenced by nutritional factors—particularly dairy intake and protein—as well as by physical activity. These results underscore the need for early nutritional screening and further research on additional bone-related dietary components to optimize nutritional recommendations for this population. Full article

The literature on derivative pricing in illiquid markets has mostly focused on computing optimal hedging controls, but empirical microstructure studies show that large order flow generates persistent and predictable price effects. Therefore, these controls can themselves induce endogenous market manipulation because traders can internalize the impact of their own trades. We identify the key shortcoming as the absence of a formal separation between a large trader’s informational advantage and the mechanical price impact and temporary cost-of-hedging. To address this gap, we introduce a counterfactual informed observer—an agent who knows the large trader’s strategy but does not face trading frictions—and use this device to isolate informational order-flow effects from mechanical price impact, a distinction explicitly observed in microstructure data. We prove the existence of information-neutral probability measures under which the discounted asset is a martingale for this observer and derive a hedging framework that jointly accounts for transaction costs and permanent market impact. Numerical experiments show that because price pressure and order-flow effects create non-linear execution costs, the optimal hedge for an out-of-the-money call can deviate substantially from the Black–Scholes hedge, with implications for risk management and regulatory monitoring. Full article

Background/Objectives: Autism spectrum disorder is associated with executive functioning (EF) challenges, yet the neural correlates of EF challenges in autistic youth remain unclear. This study aimed to examine EF performance and cortical activation in autistic versus non-autistic youth, using functional near-infrared spectroscopy (fNIRS) during a modified Flanker task. Methods: Thirty age-matched (11.6 ± 0.8 years) autistic (N = 15) and non-autistic youth (N = 15) completed congruent and incongruent conditions of a modified Flanker task while cortical activation in prefrontal, parietal, and temporal regions was recorded using fNIRS. The Behavior Rating Inventory of Executive Function (BRIEF) was used to assess general EF impairments. Behavioral data (i.e., Flanker task mean reaction time/accuracy, and reaction time variability) and cortical activation were analyzed using ANCOVAs. Pearson correlations were used to determine the relationship between cortical activation, EF performance, and clinical measures. The significance level was set at p < 0.05, with FDR corrections for multiple comparisons. Results: While mean reaction time and accuracy were comparable across groups, autistic youth exhibited greater reaction time variability (autistic youth = 34.8 ± 10.36; controls = 26.4 ± 1.94, p = 0.02, Hedges’ g = 0.85) and higher BRIEF index scores compared to controls (p_s < 0.001, Hedges’ gs > 1.3; e.g., Global Executive Composite Score for autistic youth = 71.3 ± 3.7; controls = 47.8 ± 2.4), indicative of delayed EF development. During the incongruent condition, compared to non-autistic controls, autistic youth showed lower left inferior parietal lobe (IPL) activation (Mean HbO₂ in autistic youth = −0.02 ± 0.006 mmol.mm; controls = 0.01 ± 0.006 mmol.mm, p_s < 0.001, Hedges’ g = 0.5) and a lack of left-lateralized activation (e.g., left vs. right STS activation, p < 0.001, Hedges’ g = 0.41 in the non-autistic youth). In the ASD group, lower activation in the left STS was associated with lower EF performance (r = −0.28, p = 0.007), whereas greater activation in various right-hemispheric ROIs was associated with better EF performance (r = −0.31 to −0.35, p_s < 0.005), suggesting potential compensatory activation. Conclusions: The findings revealed ASD-specific differences in the neural correlates of EF performance and possible alternative compensatory activation patterns. These potential neural correlates of EF performance highlight the utility of fNIRS-based neural measures to better understand the neural bases of EF differences in autism. Study Registration: This study was approved by the Institutional Review Board (IRB) at the University of Delaware (Protocol #: 1947455) on 4 October 2022. Full article

Evidence for flipped-classroom learning in the health professions is growing, yet its advantage over lectures when transferable learning is tested remains unclear. We conducted a cross-sectional, inter-institutional comparison of two European programs (anonymized as Center A—lecture-based; Center B—flipped classroom). Students in Years 1 to 3 completed two anatomy examinations (0–10 scale): their own institutional exam and the partner’s exam. A 10-item Likert questionnaire produced a 0 to 10 Global Satisfaction Index. Analyses included Welch’s t test, effect sizes, and 95% confidence intervals. Own scores were comparable between centers (mean difference ≈ +0.10; p = 0.66; Hedges’ g ≈ 0.07). Cross scores strongly favored Center B [difference ≈ −2.40; 95% CI −2.72 to −2.07; p < 10⁻³²; g ≈ −1.87]. By course, the Own → Cross drop was large in Center A across Years 1 to 3, moderate in Center B, and nearly absent in Year 3. Satisfaction was higher in Center B; internal consistency of the 10-item scale was modest overall (α ≈ 0.61). When assessment demands transfer to an unfamiliar format, flipped-classroom exposure confers a large performance advantage and higher satisfaction, while differences vanish on familiar exams. The findings support aligning anatomy curricula with active, application-focused learning and mixed-format assessment to promote durable, transferable learning. Full article

Raw material price volatility, freight rates, and foreign exchange all pose significant uncertainty for lithium-ion battery manufacturers, jeopardising procurement planning and financial stability. In this paper, we formulate a discrete Conditional Value-at-Risk (CVaR) optimisation model to design implementable robust hedging strategies for multi-factor cost exposure. Unlike conventional continuous hedge models, which are often severely parameter-sensitive and require frequent rebalancing, the discrete approach takes hedge ratios to be fixed at a finite implementable grid (0%, 50%, 100%) and simultaneously minimises the expected cost and tail risk. We conduct two case studies: the first evaluates the model behaviour under stochastic price shocks using a multi-market simulation data set, and the second subjects the model to stress testing on correlation drift and tail amplification in order to examine systemic robustness. Our results show that, compared with an OLS-based hedge or a fully hedged benchmark, the discrete CVaR framework yields smoother hedge patterns, lower tail losses, and improved liquidity stability; in addition, our results indicate that, when combined with tail-risk penalisation, decision discretisation can endogenously confer robustness to the industrial procurement horizon. This work contributes to the stochastic optimisation literature and provides a practical tool for mitigating volatility in the global lithium supply chain. Full article