Search Results (187)

Background/Objectives: Increasing popularity, convenience, and access to processed foods are shifting the composition of dietary intake from whole to ultra-processed foods (UPF). This study aimed to assess the association between periconceptional UPF consumption and the incidence of adverse pregnancy outcomes (APOs). Methods: This was a secondary analysis of the Nulliparous Pregnancy Outcomes Study: Monitoring Mothers-to-Be (nuMoM2b). Patients were excluded if they were missing periconceptional diet data or if their pregnancy ended before 20 weeks. Food Frequency Questionnaire items were categorized using the NOVA Scale to calculate the proportion of total energy intake comprised of UPF (% kcal/day). Bivariate and multivariate analyses examined the relationships between UPF intake and preterm birth, hypertensive disorders of pregnancy (HDP), gestational diabetes (GDM), small-for-gestational-age (SGA) infants, large-for-gestational-age (LGA) infants, and fetal or neonatal demise. Results: A total of 6693 participants were included in the analysis. The sample was predominantly White (78%) and not Hispanic (84%), and a majority of participants had commercial insurance (76%). UPF accounted for an average of 51.3 ± 12.7% of participants’ daily total energy intake. Mean UPF intake was higher among patients who identified as Black or non-Hispanic, patients with public insurance, less than a high school education, a household income below the federal poverty level (all p-values < 0.001), patients with chronic hypertension (p = 0.02), and patients who delivered vaginally (p = 0.002). Patients with preterm birth, HDP, SGA infants, and fetal or neonatal demise all had significantly higher proportions of daily UPF intake compared to patients without these adverse outcomes. After adjusting for potential confounders, higher UPF intake remained significantly associated with preterm birth (AOR 1.11, 95% CI 1.02–1.21) and HDP (AOR 1.05, 95% CI 1.001–1.11). Conclusions: On average, more than half of participants’ daily energy intake was from UPF, and higher UPF intake correlated with several adverse pregnancy outcomes. Future efforts should focus on improving nutritional literacy regarding UPF consumption in pregnancy. Full article

The exponential growth of data generated by modern digital applications, including systems inspired by Industrial Internet of Things (IIoT) requirements, has accelerated the adoption of NoSQL databases due to their scalability, flexibility, and performance advantages over traditional relational systems. Among document-oriented solutions, MongoDB and RavenDB stand out due to their architectural features and their ability to manage dynamic, large-scale datasets. This paper presents a comparative analysis of MongoDB and RavenDB, focusing on the performance of fundamental CRUD (Create, Read, Update, Delete) operations. To ensure a controlled performance evaluation, a mobile and web application for managing product orders was implemented as a case study inspired by IIoT data characteristics, such as high data volume and frequent transactional operations, with experiments conducted on datasets ranging from 1000 to 1,000,000 records. Beyond the core CRUD evaluation, the study also investigates advanced operational scenarios, including joint processing strategies (lookup versus document inclusion), bulk data ingestion techniques, aggregation performance, and full-text search capabilities. These complementary tests provide deeper insight into the systems’ architectural strengths and their behavior under more complex and data-intensive workloads. The experimental results highlight MongoDB’s consistent performance advantage in terms of response time, particularly with large data volumes, while RavenDB demonstrates competitive behavior and offers additional benefits such as built-in ACID compliance, automatic indexing, and optimized mechanisms for relational retrieval and bulk ingestion. The analysis does not propose a new benchmarking methodology but provides practical insights for selecting an appropriate document-oriented database for data intensive mobile and web application contexts, including IIoT-inspired data characteristics, based on a controlled single-node experimental setting, while acknowledging the limitations of a single-host experimental environment. Full article

Due to emerging strategic demands, this article presents a comprehensive conceptual design investigation into enhancing the MQ-9A Uncrewed Aerial Vehicle (UAV). Motivated by the need for persistent long-range protection and surveillance capabilities, the research study proposes three primary modifications to create an aircraft titled the MQ-9X Raven. First, the existing turboprop engine was replaced with the widely used Williams FJ44-4A turbofan for reduced fuel consumption and excess power at 50,000 ft, with a range of approximately 8000 nm. Second, the wing design was updated with a 79 ft wing for a greater aspect ratio and a new LRN1015 airfoil to enable high-altitude, long-endurance standoff of around 24 h. Third and finally, the conceptual redesign included integration of a releasable store for maritime interdiction (AGM-184). The project follows a rigorous methodology beginning with a redefinition of mission requirements, aerodynamic, thrust, and stability analysis, and then verification with flight simulation, computational fluid dynamics, and wind tunnel experiments. Our analysis shows the MQ-9X Raven is highly suitable for the task of pervasive high-altitude standoff maritime protection. Full article

Background/Objectives: Heart failure with reduced ejection fraction (HFrEF) is associated with significant neuropsychological burden, including cognitive impairment and mood disturbances. While sacubitril/valsartan has demonstrated cardiovascular benefits, its effects on cognitive and emotional functioning remain underexplored, particularly in Middle Eastern populations. We aimed to evaluate the impact of sacubitril/valsartan on intellectual capacity, cognitive function and mood in patients with HFrEF using an idiographic study design. Methods: This study was conducted in adult patients with HFrEF selected to take sacubitril/valsartan to improve their clinical status. Participants were assessed at baseline and 3 months after treatment initiation using Al Khoudh Cognitive Test, PHQ-9 and Raven’s Progressive Colored Matrices. Results: Following three months of treatment, participants showed a statistically significant improvement in left ventricular ejection fraction (LVEF) (p = 0.043), depression severity (p = 0.025) and a non-significant trend toward improvement in abstract reasoning scores (p = 0.051). On the other hand, participants did not demonstrate significant improvements in the cognitive subdomains assessed by the Al Khoudh Test. Among these subdomains, the largest improvement was observed with verbal fluency (p = 0.057). Improvements in LVEF were not significantly associated with the changes in mood (p = 0.93), cognitive function (p = 0.34) or verbal fluency (p = 0.46). Conclusions: This study provides preliminary, hypothesis-generating evidence of potential short-term improvement in mood and reasoning scores in HFrEF patients treated with sacubitril/valsartan. Notably, these changes were not attributed to the observed improvements in cardiac function. These findings underscore the need for further investigation into the neurocognitive benefits of sacubitril/valsartan in larger and more diverse populations. Full article

Test anxiety is considered to affect individuals’ cognitive control and task performance, particularly in error monitoring. While previous research has explored the relationship between anxiety and cognitive performance, this study aims to investigate the impact of test anxiety and cognitive stress on error processing, focusing on changes in error-related negativity (ERN). Participants were divided into high test anxiety (HTA) and low test anxiety (LTA) groups based on their scores on the Test Anxiety Scale (TAS). Cognitive stress was induced by administering the Raven’s Standard Progressive Matrices test, accompanied by instructions that emphasized score comparison with others. Participants completed the Subjective Test Anxiety Scale (STAS), the Short State Anxiety Inventory (SSAI), and a Flanker task before and after the stress manipulation. The effectiveness of the stress manipulation was confirmed by significant increases in STAS and SSAI scores and changes in behavioral performance. EEG data were recorded to analyze ERN, correct-response negativity (CRN), and ΔERN (ERN minus the CRN) amplitudes. HTA individuals exhibited a trend toward larger ERN amplitudes than LTA counterparts, indicating heightened sensitivity to errors. However, no significant changes in ERN amplitudes were observed between pre- and post-stress conditions. CRN and ΔERN amplitudes also showed no significant differences across anxiety groups or stress conditions. ERN changes appear to be more closely related to trait test anxiety than to transient stress. Full article

Standardized cognitive assessments are essential in research but often limited by proprietary restrictions and methodological constraints. This study evaluates the psychometric properties of two public-domain International Cognitive Ability Resource (ICAR) measures implemented in the Mobile Toolbox (MTB) assessment library: Puzzle Completion and Block Rotation. Using a sample of 100 adults (18–82 years), we assessed internal consistency, test–retest reliability, and construct validity compared to gold-standard measures. Results demonstrated acceptable reliability for both Puzzle Completion and Block Rotation. Each measure showed moderate to strong correlations with respective gold-standard assessments: Puzzle Completion correlated with Raven’s Progressive Matrices (r = 0.40), and Block Rotation with Mental Rotation Test (r = 0.46). Practice effects were non-significant. Both demonstrated the ability to discriminate between verbal and nonverbal abilities. Findings were consistent with previous ICAR validations, suggesting MTB provides a viable option for remote self-administration while preserving measurement integrity. This enables larger sample collection and ecological assessment of cognitive abilities outside of laboratory settings. Full article

As immersive technologies increasingly permeate education and professional training, their cognitive implications for novice learners remain underexplored. This study examines the relative effectiveness of virtual reality (VR)-based instruction compared with conventional teaching modalities in a controlled experimental setting. A total of 106 undergraduate medical students with no prior technical experience were randomly assigned to one of three instructional conditions: (1) PowerPoint-based presentation, (2) real-person demonstration, or (3) immersive VR simulation of a five-axis CNC machine. Participants’ cognitive ability was assessed using Raven’s Progressive Matrices, and their learning styles were measured via the Honey and Mumford questionnaire. Immediate knowledge retention was evaluated through a 20-item multiple-choice test. Results revealed a significant main effect of instructional method on post-test performance (p < 0.001), with the real-person group achieving the highest mean score, followed by PowerPoint and VR groups. IQ was a significant predictor of performance across conditions but did not moderate the effect of instructional method. Gender and learning-style preferences showed no meaningful associations with learning outcomes. The findings suggest that, for novice learners engaging with complex technical content, immersive VR may impose additional cognitive demands that hinder immediate knowledge acquisition. These results contribute empirical support to Cognitive Load Theory and the Cognitive Affective Model of Immersive Learning, emphasizing the need for careful instructional design and cognitive scaffolding in VR-based education. Full article

Insecticide resistance is increasing globally, and tools must be developed to combat this issue facing mosquito control programs that protect public health and inform operational decisions. Field trials to assess insecticide formulated products (FPs) are logistically demanding and weather-dependent and the Centers for Disease Control and Prevention bottle bioassays are optimized to test technical active ingredient (AI) residue, not aerosolized FP. Here, the methodological gap between AI and FP efficacy testing is addressed. The current study assessed the knockdown/mortality of laboratory and wild populations of Aedes albopictus and Culex pipiens/quinquefasciatus to four FPs (Biomist^®, Duet^®, AquaDuet^®, ReMoa Tri^®) in wind tunnel experiments. The number of FP droplets on mosquitoes was analyzed. Regression analyses showed that droplet counts on mosquitoes were significantly (p < 0.05) related to mosquito mortality for some FPs. The wild Culex population was resistant to all FPs in the wind tunnel. Here, when wind tunnel experiments resulted in a relatively low mortality rate (<90%), this indicates mosquito resistance to the FP. In these situations, a field trial would likely not achieve good results and may not be necessary. Alternatively, when wind tunnel experiments resulted in a nearly perfect mortality rate, a confirmatory field trial could be conducted, if needed. Full article

Background: Adequate nutrient intake is crucial for cognitive development and academic performance in schoolchildren. This study assessed the association between dietary intake and both cognition and academic performance in school-aged children from Taabo, Côte d’Ivoire. Methods: A total of 252 schoolchildren aged 6–12 years were randomly selected from seven public primary schools. Dietary intake was assessed using repeated 24 h recalls. Cognitive skills were evaluated using Raven’s Colored Progressive Matrices (RCPM) and academic performance was determined based on end-of-year school results. Results: More than half of the participants had adequate intakes of vitamin A (55.8%), vitamin B6 (61.0%), vitamin B12 (61.0%) and omega-3 fatty acids (70.1%), while most had inadequate intakes of iron (96.8%), zinc (100%), thiamin (99.2%), riboflavin (99.6%) and folate (96.8%). Thiamin, riboflavin, folate, iron, zinc and a nutrient blend (comprising iron, zinc, thiamin, riboflavin and folate) showed significant associations with RCPM scores (p < 0.05). Additionally, higher intakes of thiamin (AOR = 6.3; 95% CI: 2.5–16.0, p < 0.001) and riboflavin (AOR = 2.2; 95% CI: 1.5–7.8, p = 0.003) were associated with increased odds of better cognitive performance compared with lower intakes. No consistent associations were found with academic performance. Conclusions: Compared to recommendations, intakes of several micronutrients were inadequate in most of the children. While thiamin, riboflavin, folate, iron, zinc and the nutrient blend showed significant associations with cognition, no association was found with academic performance. Further studies exploring such links are needed, especially those involving interventions. Full article

Bufadienolides exert broad-spectrum pharmacological activities relevant to cardiology and novel cancer treatments. Their efficacy, toxicity, and pharmacokinetic profiles are significantly affected by modifications at carbon-3 (C3) of the steroid core. We have applied molecular dynamics simulations to characterize the consequences of (i) variations in size of the substituent at C3, (ii) the type of linker at C3 (ether vs. N-methoxy), and (iii) stereochemistry (C3β vs. C3α) for derivatives’ interactions with Na⁺,K⁺-ATPase. The model compounds included bufalin, bufalin-N-glucose, bufalin-O-glucose as well as digoxigenin, digoxigenin monodigitoxoside and digoxin. It was shown that the optimal size of the substituent is a trade-off between the ability to form stabilizing interactions and steric and entropic interferences. The former is strongly affected by the nature of the linker due to its impact on the spatial position of the ligand: N-methoxy linker imposes rotational restrictions and places the core into a less favorable position compared to an ether bond. Similarly, the change from β- to α-anomer delocalizes the substituent precluding contacts with amino acid residues of the binding site. The presented mechanistic model of bufadienolide interactions with Na⁺,K⁺-ATPase helps to anticipate the consequences of modifications while designing derivatives with high anticancer activity but reduced cardiotoxicity. Full article

Tall fescue-dominated pasturelands are widespread in the eastern United States and typically lack substantial plant diversity. Establishing native wildflowers into tall fescue pastures has the potential to benefit bee populations and boost pollinator ecosystem services. In this study, tall fescue pastures at five on-farm sites in Virginia, USA, were planted with wildflowers native to North America and paired with sites with conventional tall fescue pastures. Honeybee apiaries were established at the ten locations, and variables related to hive strength were measured over two years. The main study objectives were to: (1) compare metrics of hive strength between diversified and conventional pastures, (2) determine whether honeybees used native-sown wildflowers as a source of pollen, and (3) explore whether native-sown wildflowers were visited more by honeybees and other pollinators compared with nonnative, unsown forbs. Diversified pastures had many more plant species and blooms compared with conventional pastures, but this had little effect on hive parameters. Pollen DNA metabarcoding revealed that honeybee diets were similar regardless of whether hives were associated with diversified or conventional pastures. Honeybees foraged mostly on plants in the surrounding landscape—especially white clover (Trifolium repens) and less so on native wildflowers. Native-sown wildflowers received more visits from native pollinators, however. We hypothesize that the native-sown wildflowers had little impact on hive strength metrics because honeybees had access to abundant, white clover blooms and other flowering species in these landscapes. Native wildflowers that bloom in late summer/early autumn after white clover blooms diminish may be of greater value to honeybees in pasture settings. Full article

As tropical forests become increasingly vulnerable to land use changes, fragmentation, and climate shifts, efforts to minimise species loss are essential. Prevalent in most environments and having complex vocalisations, birds are key indicators of ecosystem health and a good model for acoustic monitoring. In Brazil, the Caparaó National Park (CNP) is a preserved remnant of the Atlantic Forest with great avian endemism. Despite having >600 species, limited research has utilised bioacoustics for species assessment. This study employed bioacoustics to examine soundscapes and community composition at two CNP locations—one with ombrophilous montane forest (OMF) and another with semi-deciduous seasonal forest (SSF). Four SongMeters were deployed, recording bird choruses from 08:00 to 11:00 a.m. for two months. Soundscape profiles and species composition were characterised using Raven Pro. Acoustic indices assessed correlations with avian species richness, and sites were compared using the Mann–Whitney U test. Ninety-eight species were detected, and species richness was greater within SSF. While acoustic indices had little impact on richness, they identified differing soundscapes: more ambient noise in OMF, and gunshots detected in SSF. The results indicate that bioacoustics can aid monitoring strategies. Given the presence of rare species and illegal activities, more studies are needed to support the conservation of birds in this critical environment. Full article

The relationship between self-rated personality and nonverbal intelligence has been studied in young students, but these studies have generally not considered nested data, despite their allowing us to analyse between-classroom variability. The present cross-sectional study involved third- to sixth-grade students (n = 447) who were nested into their classrooms (n = 32). The participants completed the Raven’s Coloured Progressive Matrices (CPM) as a measure of nonverbal intelligence and a personality questionnaire based on the Five Factor Model. At the class level, the study data included class size, class-average CPM scores, and class-homogeneity in CPM performances. Multilevel modelling with class-mean centring of personality predictors was applied to examine class-average differences in CPM scores and interaction effects between personality and class-homogeneity on CPM scores. The results showed significant differences in average CPM performances across classrooms, significant fixed and random slope effects linking nonverbal intelligence and Imagination, and a cross-level effect revealing that Imagination is a stronger predictor of CPM scores when class-homogeneity in intelligence is lower. Beyond confirming the intelligence–Imagination association generally observed in the literature, the present findings emphasise the importance of using nested structures when collecting personality and intelligence data in classrooms. More attention needs to be paid to how the classroom environment affects children’s self-reported personality and intelligence test performances. Full article

Despite the high similarity of reasoning ability items, research indicates that individuals apply different strategies when solving them. The two distinct strategies are response elimination and constructive matching. The latter, frequently showing a positive correlation with reasoning ability, entails the individual systematically investigating the presented problem matrix of an item before scanning the response alternatives. To further understand the sources of individual differences in strategy use during test taking, three different eye-tracking metrics were investigated in participants (N = 210) solving the Raven’s Advanced Progressive Matrices (APM). Relying on the fixed-links modeling approach, bifactor models were fit to the data. The latent model approach revealed, in line with other research, a positive correlation between reasoning ability and constructive matching. The results further indicated that a change in strategy use was correlated with the item-position effect and not reasoning ability. The former exhibited a different direction of effect, depending on the eye-tracking metric analyzed. When investigating the toggle rate, the participants used more constructive matching towards the end of the APM. The proportional time to first fixation on response alternatives indicated less constructive matching as the test progressed, and the proportional time on the problem matrix exhibited no distinct pattern regarding a change in strategy use. These diverging results point towards the possibility of a more nuanced problem-solving behavior than previously assumed. By including the item-position effect in the analyses, the increasing individuals differences in problem-solving behavior can be taken into account, which could be a necessary step in attaining a more comprehensive understanding of problem-solving behavior. Full article

Math learning is a key educational goal, and one marked by substantial individual differences even in the earliest grades. Although considerable research has examined the extent to which domain-general processes, such as executive functions and fluid intelligence, contribute to this variability, there is a notable gap in understanding how they may interact to predict early math learning. In particular, prior work had not examined potential moderating effects whereby the relation between executive functions and math outcomes depends on a child’s fluid intelligence, and vice versa. The current study addressed this gap by examining the math skills in Russian first-graders (N = 160) as a function of fluid intelligence (measured with Raven’s matrices) and various components of executive functions. Consistent with prior research, the results revealed the main effects of Raven’s scores, verbal working memory, and the control component of executive function (a composite of inhibition and cognitive flexibility scores) on math growth. Importantly, extending previous research, the study found that both memory and control components of executive function interacted with fluid intelligence. Specifically, executive function had a stronger positive effect on math learning for children with lower levels of fluid intelligence. The implications for intervention research and educational practice are discussed. Full article