Measuring factors affecting honey bee (Hymenoptera: Apidae) attraction to soybeans using bioacoustics monitoring.

Soybean (Glycine max (L.) Merr.) is an important agricultural crop around the world, and previous studies suggest that honey bees (Apis mellifera Linnaeus) can be a component for optimizing soybean production through pollination. Determining when bees are present in soybean fields is critical for assessing pollination activity and identifying periods when bees are absent so that bee-toxic pesticides may be applied. There are currently several methods for detecting pollinator activity, but these existing methods have substantial limitations, including the bias of pan trappings against large bees and the limited duration of observation possible using manual techniques. This study aimed to develop a new method for detecting honey bees in soybean fields using bioacoustics monitoring. Microphones were placed in soybean fields to record the audible wingbeats of foraging bees. Foraging activity was identified using the wingbeat frequency of honey bees (234 ±â€…14 Hz) through a combination of algorithmic and manual approaches. A total of 243 honey bees were detected over 10 days of recording in 4 soybean fields. Bee activity was significantly greater in blooming fields than in non-blooming fields. Temperature had no significant effect on bee activity, but bee activity differed significantly between soybean varieties, suggesting that soybean attractiveness to honey bees is heavily dependent on varietal characteristics. Refinement of bioacoustics methods, particularly through the incorporation of machine learning, could provide a practical tool for measuring the activity of honey bees and other flying insects in soybeans as well as other crops and ecosystems.

Motion-Defined Form Perception in Deprivation Amblyopia.

Purpose: The purpose of this study was to assess motion-defined form perception, including the association with clinical and sensory factors that may drive performance, in each eye of children with deprivation amblyopia due to unilateral cataract. Methods: Coherence thresholds for orientation discrimination of motion-defined form were measured using a staircase procedure in 30 children with deprivation amblyopia and 59 age-matched controls. Visual acuity, stereoacuity, fusion, and interocular suppression were also measured. Fixation stability and fellow-eye global motion thresholds were measured in a subset of children. Results: Motion-defined form coherence thresholds were elevated in 90% of children with deprivation amblyopia when viewing with the amblyopic eye and in 40% when viewing with the fellow eye. The deficit was similar in children with a cataract that had been visually significant at birth (congenital) and in children for whom the cataract appeared later in infancy or childhood (developmental). Poorer motion-defined form perception in amblyopic eyes was associated with poorer visual acuity, poorer binocular function, greater interocular suppression, and the presence of nystagmus. Fellow-eye deficits were not associated with any of these factors, but a temporo-nasal asymmetry for global motion perception in favor of nasalward motion suggested a general disruption in motion perception. Conclusions: Deficits in motion-defined form perception are common in children with deprivation amblyopia and may reflect a problem in motion processing that relies on binocular mechanisms.

Text Messages Conveying Parent Drinking Limits: A Potential Avenue for Preventing and Reducing Alcohol Use in College Students.

OBJECTIVE: Although previous research has established that students who perceive that their parents have lower drinking limits consume less alcohol, optimal approaches for effectively communicating these limits are less understood. To address this gap in the literature, the present study examined the effects of hypothetical limit-focused text messages on estimated drinking behavior. METHOD: Undergraduate college students (N=253) completed an online survey in which they were instructed to imagine a scenario where they were planning to go out at night to an event involving drinking. Participants were randomly assigned to a condition where they would receive one of four hypothetical text messages from their mother and/or father containing a range of drinking limits. They were then asked to report how much alcohol they would realistically consume on this night if they were and were not obligated to check in with their parent at the end of the night. RESULTS: Hypothetical text messages from mothers and fathers containing lower drinking limits resulted in lower estimated alcohol consumption. A drinking limit of zero resulted in the least amount of expected alcohol consumption but specifying 1-2 drinks as a limit might produce a similar effect if parents also required their student to check-in at the end of the night. CONCLUSION: Findings from this study provide initial support for future studies to investigate the effects of limit setting text messages sent from parents on college student drinking, as well as the effects of text messages sent from parents requiring that students check-in.

Independent and combined effects of very low nicotine cigarette messages and e-cigarette messages: a randomised clinical trial.

BACKGROUND: USA is considering reducing nicotine in cigarettes to non-addictive levels, coupled with promoting alternative nicotine delivery products (eg, e-cigarettes). However, effective communication is needed to reduce misperceptions about very low nicotine cigarettes (VLNCs) being less harmful than regular cigarettes. METHODS: In 2022-2023, we conducted a four-group randomised clinical trial with a national probability sample from an online panel (971 adults who smoked cigarettes exclusively, 472 adults who dual used cigarettes and e-cigarettes and 458 adults aged 18-29 who had never smoked). Participants were randomised (parallel assignment) to one message condition: (1) VLNCs as harmful but easier to quit than regular cigarettes (n=468), (2) those who are not ready to quit should consider switching to e-cigarettes as less harmful alternatives (n=484), (3) combined (VLNC and e-cigarette messages; n=476) or (4) control condition (ie, water ads), n=473. The primary outcome was perceived absolute harm of VLNCs. RESULTS: Perceived harm of VLNCs was higher in the VLNC condition compared with the e-cigarette and control conditions, and higher in the combined condition compared with the e-cigarette condition (adjusted p<0.05). Among adults who dual used, intention to switch to e-cigarettes was higher in the VLNC condition than the e-cigarette, combined or control conditions (adjusted p<0.05). CONCLUSIONS: VLNC messages reduced the misperception that VLNCs are less harmful than cigarettes, but adding messages about e-cigarettes did not enhance desired outcomes. These VLNC messages can be considered during the rollout of a reduced nicotine policy. TRIAL REGISTRATION: NCT05506046.

Perceptions of a reduced nicotine policy and predictors of policy support: A nationally representative U.S. survey.

BACKGROUND: The U.S. Food and Drug Administration is considering a policy to reduce nicotine in cigarettes to non-addictive levels. Although current evidence supports the public-health benefits of a reduced-nicotine policy, almost half of people who smoke (∼ 40%) do not support the policy. This study estimates the factors most strongly associated with support or opposition toward the policy, including tobacco use status, perceived effects of a reduced nicotine policy, trust in the FDA, and psychological distress. The study aims to inform messaging campaigns and policy makers. METHODS: Data were collected in 2021 with nationally representative samples of U.S. adults (n = 1763). After receiving information about the reduced nicotine policy, participants indicated their beliefs and support for or opposition to the policy, along with other individual difference characteristics. Univariate population parameters and multinomial logistic regression coefficients were estimated. RESULTS: In adjusted models, people who formerly or never smoked were less likely to oppose the policy compared to those who currently smoke; people with higher psychological distress and those who believe the policy will promote switching to e-cigarettes were more likely to oppose the policy. In addition, people were more likely to support the policy if they believed it would make quitting easier or that the FDA is trustworthy. CONCLUSIONS: Educational campaigns about reduced nicotine policy should expect higher impact by targeting prevalent perceptions and those more strongly associated with policy sentiment. In anticipation of the policy rollout, there may be a critical window to shape public opinion.

Process Evaluation and Investigation of Cultural Adaptations for an Online Parent-Based Intervention Using a Mixed-Method Approach.

Most alcohol intervention research focuses on program efficacy, yet few studies have investigated the acceptability of a program's design and implementation to the target population or adapting existing alcohol interventions to different populations. To address these gaps in the literature, we (1) examined participant responsiveness to and implementation quality of FITSTART+, a web-app delivered parent-based alcohol intervention designed for incoming first-year college students in the United States, and (2) gathered feedback on how this intervention could be adapted to other populations of parents. A sample of U.S. parents of 17-20-year-old first-year college students (N = 109) participated in FITSTART+ during their child's first year of college and completed a survey about parents' responsiveness to the app and its quality. Next, a sample of non-U.S. parents of adolescents aged 13 to 19 (N = 44) participated in one of 11 focus groups in which they briefly explored the app and then discussed how it could be adapted to be applicable and culturally relevant for them and their context. Results revealed that U.S. parents rated the intervention's quality as high and parents were responsive to the web-app's content, but some did not visit one of the most critical aspects of the intervention (i.e., alcohol-related parenting resources). Non-U.S. participants provided a range of suggestions for adapting the intervention to their context, which varied by culture. Results identify areas for improvement, particularly regarding the use of alcohol-related parenting resources, in this intervention and for web-delivered PBIs more broadly.

Large library docking for cannabinoid-1 receptor agonists with reduced side effects.

Large library docking can reveal unexpected chemotypes that complement the structures of biological targets. Seeking new agonists for the cannabinoid-1 receptor (CB1R), we docked 74 million tangible molecules, prioritizing 46 high ranking ones for de novo synthesis and testing. Nine were active by radioligand competition, a 20% hit-rate. Structure-based optimization of one of the most potent of these (Ki = 0.7 uM) led to '4042, a 1.9 nM ligand and a full CB1R agonist. A cryo-EM structure of the purified enantiomer of '4042 ('1350) in complex with CB1R-Gi1 confirmed its docked pose. The new agonist was strongly analgesic, with generally a 5-10-fold therapeutic window over sedation and catalepsy and no observable conditioned place preference. These findings suggest that new cannabinoid chemotypes may disentangle characteristic cannabinoid side-effects from their analgesia, supporting the further development of cannabinoids as pain therapeutics.

Effects of the FITSTART + PBI on drinking and negative alcohol-related consequences during the first year of college.

Objective: This study evaluated FITSTART+, a parent-based intervention (PBI), for preventing risky drinking among first-year college students. Participants: Participants were traditional first-year students aged between 17 and 20. Method: In total, 391 eligible students completed a baseline survey and their parents were then invited to use the FITSTART+ PBI or Control web-applications. 266 students had a parent who created a profile in the app (FITSTART+ PBI, n = 134; FITSTART+ Control, n = 132). Additionally, 58 parents randomized to the FITSTART+ PBI did not complete the personalized normative feedback (PNF) component of the intervention. Results: No significant effect on drinking or related consequences was detected between Intervention and Control groups. However, exploratory analyses revealed that completing PNF in the FITSTART+ PBI condition was associated with a greater likelihood of remaining zero on consequences at follow-ups. Conclusion: The PNF component of the FITSTART+ PBI showed potential in preventing risky drinking, warranting further research.

The Platysma Contraction Pattern in Healthy Adults: A Vector Analysis Study.

BACKGROUND: The platysma muscle's role in lower face dynamics is complex. Multiple insertion points to soft-tissue structures at various levels in the lower face create a multifaceted contraction pattern. To avoid adverse effects in cosmetic procedures when targeting the platysma, its anatomy and physiology must be understood. Clinical observations hint at a bidirectional contraction pattern. METHODS: Eighteen healthy volunteers (13 women and five men) with a mean age of 44.2 ± 10.1 years were enrolled. Skin displacement vector analysis was used on maximal platysma contraction to characterize and calculate the movement of the neck and lower face skin. RESULTS: In all of the participants, a bidirectional movement of the skin was observed: the skin of the lower face and inferior to the jawline moved caudally, whereas the skin of the lower neck moved cephalad. Both movements converged at a line situated at 54% ± 10% and 55% ± 8% of the length between the clavicle and the inferior base of the ear lobe in men and women, respectively ( P = 0.70). CONCLUSIONS: The platysma is a bidirectional muscle with a line of convergence. Whereas the superior portion acts as lip depressor, the lower portion elevates the skin of the upper chest and lower neck. This transition can explain some of the clinically observed adverse effects of neuromodulation of the neck area. It can potentially direct neuromodulation injections to focus above the convergence line to better address lower face descent.

Continental Scale Hydrostratigraphy: Basin-Scale Testing of Alternative Data-Driven Approaches.

Integrated hydrological modeling is an effective method for understanding interactions between parts of the hydrologic cycle, quantifying water resources, and furthering knowledge of hydrologic processes. However, these models are dependent on robust and accurate datasets that physically represent spatial characteristics as model inputs. This study evaluates multiple data-driven approaches for estimating hydraulic conductivity and subsurface properties at the continental-scale, constructed from existing subsurface dataset components. Each subsurface configuration represents upper (unconfined) hydrogeology, lower (confined) hydrogeology, and the presence of a vertical flow barrier. Configurations are tested in two large-scale U.S. watersheds using an integrated model. Model results are compared to observed streamflow and steady state water table depth (WTD). We provide model results for a range of configurations and show that both WTD and surface water partitioning are important indicators of performance. We also show that geology data source, total subsurface depth, anisotropy, and inclusion of a vertical flow barrier are the most important considerations for subsurface configurations. While a range of configurations proved viable, we provide a recommended Selected National Configuration 1 km resolution subsurface dataset for use in distributed large-and continental-scale hydrologic modeling.

Continental Scale Hydrostratigraphy: Comparing Geologically Informed Data Products to Analytical Solutions.

This study synthesizes two different methods for estimating hydraulic conductivity (K) at large scales. We derive analytical approaches that estimate K and apply them to the contiguous United States. We then compare these analytical approaches to three-dimensional, national gridded K data products and three transmissivity (T) data products developed from publicly available sources. We evaluate these data products using multiple approaches: comparing their statistics qualitatively and quantitatively and with hydrologic model simulations. Some of these datasets were used as inputs for an integrated hydrologic model of the Upper Colorado River Basin and the comparison of the results with observations was used to further evaluate the K data products. Simulated average daily streamflow was compared to daily flow data from 10 USGS stream gages in the domain, and annually averaged simulated groundwater depths are compared to observations from nearly 2000 monitoring wells. We find streamflow predictions from analytically informed simulations to be similar in relative bias and Spearman's rho to the geologically informed simulations. R-squared values for groundwater depth predictions are close between the best performing analytically and geologically informed simulations at 0.68 and 0.70 respectively, with RMSE values under 10 m. We also show that the analytical approach derived by this study produces estimates of K that are similar in spatial distribution, standard deviation, mean value, and modeling performance to geologically-informed estimates. The results of this work are used to inform a follow-on study that tests additional data-driven approaches in multiple basins within the contiguous United States.

Reactions to Messages About a Nicotine Reduction Policy: A Focus Group Study Among People Who Use Little Cigars and Cigarillos.

INTRODUCTION: The U.S. Food and Drug Administration (FDA) has proposed rulemaking to reduce the nicotine content in cigarettes and other combusted tobacco products to non-addictive levels. This qualitative study documents reactions to messages communicating this policy among people who use little cigars and cigarillos (LCCs). AIMS AND METHODS: We conducted eight focus groups with participants from four populations with the highest prevalence of cigar use (African American males and females, white males and females). Participants described their reactions to eight messages about the policy: Three messages about the equal risk of LCCs with regular and low nicotine levels; three quit efficacy messages about low nicotine LCCs being easier to quit; one "compensation" message to correct misperceptions about the policy causing people to smoke more to get desired nicotine; and one message about using alternative nicotine sources (eg, e-cigarettes). RESULTS: Participants perceived risk messages as the most motivating to quit, whereas efficacy messages made some participants feel that the policy would cause former users of LCCs to relapse. Many participants expressed favorable responses to the compensation message. The message about using alternative nicotine sources sparked intense responses, with many participants expressing outrage and mistrust of the message. Participants' beliefs that they were not addicted to LCCs dampened their perceptions of the effectiveness of the policy. CONCLUSIONS: Perceptions of the addictiveness and relative harms of LCCS influenced responses to policy messages. The FDA should consider using different messages to communicate with people who use LCCs because they perceive LCCs as different from cigarettes. IMPLICATIONS: This is the first study to document affective and cognitive responses to the FDA's reduced nicotine policy among people who use LCCs. The false belief that cigar products are less harmful than cigarettes may be influencing people's lack of support for the reduced nicotine policy and difficulty in understanding its potential positive impact. To maximize the public health benefit of the reduced nicotine policy, the FDA should include LCC products in the policy; however, it is crucial that they use educational messaging to clarify misperceptions regarding nicotine and harm as it applies to LCCs.

Water Table Depth Estimates over the Contiguous United States Using a Random Forest Model.

Water table depth (WTD) has a substantial impact on the connection between groundwater dynamics and land surface processes. Due to the scarcity of WTD observations, physically-based groundwater models are growing in their ability to map WTD at large scales; however, they are still challenged to represent simulated WTD compared to well observations. In this study, we develop a purely data-driven approach to estimating WTD at continental scale. We apply a random forest (RF) model to estimate WTD over most of the contiguous United States (CONUS) based on available WTD observations. The estimated WTD are in good agreement with well observations, with a Pearson correlation coefficient (r) of 0.96 (0.81 during testing), a Nash-Sutcliffe efficiency (NSE) of 0.93 (0.65 during testing), and a root mean square error (RMSE) of 6.87 m (15.31 m during testing). The location of each grid cell is rated as the most important feature in estimating WTD over most of the CONUS, which might be a surrogate for spatial information. In addition, the uncertainty of the RF model is quantified using quantile regression forests. High uncertainties are generally associated with locations having a shallow WTD. Our study demonstrates that the RF model can produce reasonable WTD estimates over most of the CONUS, providing an alternative to physics-based modeling for modeling large-scale freshwater resources. Since the CONUS covers many different hydrologic regimes, the RF model trained for the CONUS may be transferrable to other regions with a similar hydrologic regime and limited observations.

Vaginal Cuff Dehiscence in Transgender Patients After Minimally Invasive Hysterectomy.

STUDY OBJECTIVE: To compare rates of vaginal cuff dehiscence (VCD) in transgender patients with cisgender patients after minimally invasive hysterectomy (MIH). DESIGN: We performed a single-surgeon, retrospective cohort analysis comparing the rates of VCD in patients undergoing MIH for gender affirmation with other indications (benign, malignant, prophylactic) with our study surgeon between January, 2015, and December, 2021. SETTING: Major, urban, academic tertiary care hospital in the United States. PATIENTS: 166 patients met inclusion criteria with 49 of those patients undergoing MIH (29.5%) for gender affirmation. Of the remaining 117 patients, 92 (78.6%) underwent MIH for cancer, 15 (12.8%) for prophylaxis, and 10 (8.5%) for benign indications. INTERVENTIONS: Not applicable. MEASUREMENTS: We assessed included patients for baseline demographics, presence of risk factors for VCD, details of index hysterectomy, and details of cuff dehiscence events. MAIN RESULTS: Transgender patients tended to be younger at the time of surgery, but demographics were otherwise similar between both groups. Most transgender patients (n = 36, 73.5%) had both ovaries removed at the time of hysterectomy, 100% were on testosterone therapy pre- and postoperatively, and none used supplementary estrogen. Three of the 49 transgender patients (6.1%) experienced postoperative dehiscence of the vaginal cuff compared with 2 of the 117 cisgender patients (1.7%). This failed to reach statistical significance; however, our descriptive analysis showed that all cases of dehiscence in the cisgender group had identifiable precipitating factors (i.e., trauma). By comparison, all cases of dehiscence in the transgender group were spontaneous with few identifiable risk factors. CONCLUSION: Transgender patients undergoing MIH may be at increased risk of VCD, although the rarity of this surgical complication precluded determination of statistical significance in our data set. We propose testosterone exposure as a possible risk factor for VCD, although we cannot exclude other factors, such as young age, as drivers of VCD in this population. Future studies of biospecimens are needed to evaluate for cellular differences in these patients.

Association between adherence to posttreatment National Comprehensive Cancer Network (NCCN) surveillance guidelines and detection of recurrent uterine cancer.

OBJECTIVE: To identify correlations between disease recurrence and adherence to NCCN posttreatment surveillance guidelines in patients who develop recurrent uterine cancer. METHODS: Retrospective analysis identified patients (n = 60) with recurrent uterine cancer and at least one surveillance visit with a gynecologic oncologist between 2011 and 2020. Adherence to NCCN guidelines and details of recurrence were recorded. RESULTS: Recurrent uterine cancer was identified in 60 patients with an average time to recurrence (TTR) of 25 months. Of those, 39 (65%) were adherent to NCCN surveillance guidelines and 36 (60%) were symptomatic at the time of recurrence diagnosis. Asymptomatic recurrence was diagnosed by imaging in 11 (46%), physical exam in 7 (29%), and blood work in 6 (25%) patients. Patients who were adherent to NCCN guidelines were diagnosed with recurrence on average 11 months earlier (p = 0.0336). Adherence was an independent predictor of TTR for all patients regardless of symptoms. There was no significant effect of age, race, primary language, or stage of disease on adherence. CONCLUSION: Adherence to NCCN posttreatment surveillance guidelines for uterine cancer is independently associated with an earlier diagnosis of recurrence.

Review: the risks of spray adjuvants to honey bees.

Pesticide applications are often made as tank mixes containing multiple pesticide products and may include spray adjuvants to enhance pesticidal activities. The primary aim of adjuvant products is to increase the spreading and sticking of spray droplets and to increase the penetration of active ingredients through the cuticles of leaves or targeted pests, which can reduce the amount of active ingredient needed for effective pest control. Adjuvants are made up of compounds drawn from the "inert ingredient" list maintained by EPA but are identified as "principal functioning agents" when used in adjuvant products. These inert compounds do not undergo the same testing and risk assessment process that is required of pesticide active ingredients and generally have no mitigation measures that prevent application onto crops during bloom at times of day when bees are foraging. Honey bees (Apis mellifera;Hymenoptera:Apidae) are at an increased risk of exposure to adjuvant tank mixtures while providing agricultural pollination services. Colony losses attributed to pesticide applications thought to have low risk to honey bees have been reported, highlighting the need to better understand the toxicity of adjuvants included in pesticide tank mixtures. This review summarizes current literature on the risks posed to honey bees by agricultural adjuvants and tank mix combinations of adjuvants with pesticides. Based on the current state of knowledge, we make recommendations to pesticide applicators, product manufacturers, regulatory agencies, and researchers regarding adjuvant toxicity to honey bees with the goal of reducing risks that adjuvants pose to honey bees and other beneficial insects.

Effects of pesticide-adjuvant combinations used in almond orchards on olfactory responses to social signals in honey bees (Apis mellifera).

Exposure to agrochemical sprays containing pesticides and tank-mix adjuvants has been implicated in post-bloom mortality, particularly of brood, in honey bee colonies brought into California almond orchards for pollination. Although adjuvants are generally considered to be biologically inert, some adjuvants have exhibited toxicity and sublethal effects, including decreasing survival rates of next-generation queens. Honey bees have a highly developed olfactory system to detect and discriminate among social signals. To investigate the impact of pesticide-adjuvant combinations on honey bee signal perception, we performed electroantennography assays to assess alterations in their olfactory responsiveness to the brood ester pheromone (BEP), the volatile larval pheromone ß-ocimene, and the alarm pheromone 2-heptanone. These assays aimed to uncover potential mechanisms underlying changes in social behaviors and reduced brood survival after pesticide exposure. We found that combining the adjuvant Dyne-Amic with the fungicide Tilt (propiconazole) and the insecticide Altacor (chlorantraniliprole) synergistically enhanced olfactory responses to three concentrations of BEP and as well exerted dampening and compensatory effects on responses to 2-heptanone and ß-ocimene, respectively. In contrast, exposure to adjuvant alone or the combination of fungicide and insecticide had no effect on olfactory responses to BEP at most concentrations but altered responses to ß-ocimene and 2-heptanone. Exposure to Dyne-Amic, Altacor, and Tilt increased BEP signal amplitude, indicating potential changes in olfactory receptor sensitivity or sensilla permeability to odorants. Given that, in a previous study, next-generation queens raised by nurses exposed to the same treated pollen experienced reduced survival, these new findings highlight the potential disruption of social signaling in honey bees and its implications for colony reproductive success.

Automated Item Generation: impact of item variants on performance and standard setting.

BACKGROUND: Automated Item Generation (AIG) uses computer software to create multiple items from a single question model. There is currently a lack of data looking at whether item variants to a single question result in differences in student performance or human-derived standard setting. The purpose of this study was to use 50 Multiple Choice Questions (MCQs) as models to create four distinct tests which would be standard set and given to final year UK medical students, and then to compare the performance and standard setting data for each. METHODS: Pre-existing questions from the UK Medical Schools Council (MSC) Assessment Alliance item bank, created using traditional item writing techniques, were used to generate four 'isomorphic' 50-item MCQ tests using AIG software. Isomorphic questions use the same question template with minor alterations to test the same learning outcome. All UK medical schools were invited to deliver one of the four papers as an online formative assessment for their final year students. Each test was standard set using a modified Angoff method. Thematic analysis was conducted for item variants with high and low levels of variance in facility (for student performance) and average scores (for standard setting). RESULTS: Two thousand two hundred eighteen students from 12 UK medical schools participated, with each school using one of the four papers. The average facility of the four papers ranged from 0.55-0.61, and the cut score ranged from 0.58-0.61. Twenty item models had a facility difference > 0.15 and 10 item models had a difference in standard setting of > 0.1. Variation in parameters that could alter clinical reasoning strategies had the greatest impact on item facility. CONCLUSIONS: Item facility varied to a greater extent than the standard set. This difference may relate to variants causing greater disruption of clinical reasoning strategies in novice learners compared to experts, but is confounded by the possibility that the performance differences may be explained at school level and therefore warrants further study.