Criterion Task Research Articles

Prior coordination solutions shape motor learning and transfer in redundant tasks

Motor learning does not occur on a ‘blank slate’, but in the context of prior coordination solutions. The role of prior coordination solutions is likely critical in redundant tasks where there are multiple solutions to achieve the task goal – yet their influence on subsequent learning is currently not well understood. Here we addressed this issue by having human participants learn a redundant virtual shuffleboard task, where they held a bimanual manipulandum and made a discrete throwing motion to slide a virtual puck towards a target. The task was redundant because the distance traveled by the puck was determined by the sum of the left- and right-hand speeds at the time of release. On the first day, 37 participants in different groups practiced symmetric or asymmetric solutions. On the second day, all participants transferred to a common criterion task, which required an asymmetric solution. Results showed that: (i) the symmetry of the practiced solution affected motor variability during practice, with more asymmetric solutions showing higher exploration of the null space, (ii) when transferring to the common criterion task, participants in the symmetric group showed much higher null space exploration, and (iii) when no constraints were placed on the solution, participants tended to return to the symmetric solution regardless of the solution originally practiced. Overall, these results suggest that the stability of prior coordination solutions plays an important role in shaping learning in redundant motor tasks.

OPTIMISING THE LADDER RAISE TASK IN THE PHYSICAL APTITUDE TEST FOR FIRE-FIGHTERS

INTRODUCTION & AIM Identifying physically capable candidates is a crucial component of recruiting firefighters given the physical demands of the occupation. At the request of a local fire agency, a review of one test item within the physical aptitude testing protocol was undertaken with the aim of this pilot study to compare physical and perceptual performance between the ladder raise task and a suite of surrogate tests to determine suitability for use in recruitment screening. METHODS 23 participants (unskilled in firefighting) performed the criterion ladder task (‘Ladder’) and three surrogate tasks: stationary constant-tension overhead press (existing test item; ‘Reel’); barbell overhead walk/return (‘Barbell’); overhead modular ladder lift (Modular Under-Running Apparatus (‘MURA’)). The tests were segmented into six components relating to lifting and under-running the device. Task duration, task completion, perceptual and kinetic variables were measured. Pearson’s correlation, OLP regressions and paired t-tests assessed relationships between the Ladder and surrogate tasks. RESULTS The Reel most closely reflected the criterion task in component 1 (lifting) for both peak and average forces (dz =-0.11, p=0.920; dz=-0.11, p=0.532 respectively). The MURA and Barbell were most closely aligned to the Ladder in all other objective values with trivial-small differences evident. The MURA was most closely aligned with the Ladder in subjective measures for components-2/5 and components-3/4 including difficulty (dz= -0.41, p=0.133; dz=-0.32, p=0.250, respectively), fatigue (dz= -0.25, p=0.354; dz=-0.10, p=0.796, respectively) and task representation (7.2[1.6]; 7.4[1.6], respectively). CONCLUSION The currently used Reel task revealed low construct and content validity. The MURA was shown to be the most appropriate surrogate option for the local fire agency to further investigate for use within recruitment physical testing. Further investigation with a sample of career firefighters should be undertaken to verify face validity at the industry level.

Characterising the physical demands of critical tasks across the Royal Australian Air Force.

Militaries have historically utilised generic physical fitness tests to assess physical readiness, but there has been a recent shift to develop physical employment standards (PES) based on actual job demands. The purpose of this investigation was to characterise the physical demands of critical tasks performed by Royal Australian Air Force (RAAF) personnel to inform PES development. Job task analysis were performed for 27 RAAF trades. Criterion tasks were identified through a systematic approach involving workshops and field-observations. The identified tasks were assessed for dominant physical capacity and grouped into movement-based clusters. Psychophysiological measures were collected from personnel performing the tasks. Of 87 criterion tasks, 92% were characterised as manual handling dominant. Across these 87 tasks the principal physical capacities were: muscular strength (59%), muscular endurance (52%) and cardiorespiratory endurance (39%). The most common movement clusters were Lift to Platform (44%) and Lift and Carry (38%). Lift to Platform tasks required lifting to a median height of 1.32 m (1.20 -1.65 m) and a median mass of 25.0 kg (21.0 -28.9 kg) per person. Median carry mass was 25.0 kg (22.4 -36.1 kg) per person and distance was 26.0 m (17.5 -50.0 m). Median task mean 'Vdot;O2, HR and RPE were 1.8 L.min-1 (1.5-2.2 L.min-1), 137 b.min-1 (120-144) and 13 (12-14). The high proportion of manual handling criterion tasks emphasises the importance of these activities and the underlying physical capacities for RAAF personnel. Current fitness assessments are unlikely to predict job task performance.

An observational objective job analysis of role related tasks undertaken by Royal Navy sailors.

The current in-service Royal Naval Fitness Test has two elements to test the aerobic endurance and muscular strength of Service Personnel through generic field-based tests and a short job task simulation. However, in 2017 the Royal Navy (RN) identified a requirement to update their in-service fitness test to align with international best practice. The purpose of this study was to conduct an Objective Job Task Analysis on critical, physically demanding tasks that could be undertaken by RN sailors during sea deployments. Twenty-one training exercises were observed across a range of contexts; Type 23 Frigates, Type 45 Destroyers and at shore-based training facilities. A total of 203 RN personnel (age 27.8±7.1 years) were observed undertaking 36 job related tasks (e.g., 'firefighting', 'damage control', 'abandon ship' and 'casualty handling'). Tasks were evaluated by cardiovascular response, primary functional movements and contextual factors to aid a Military Judgement Panel in task list down-selection. 14 Criterion Tasks (e.g., 'firefighting', 'two-person magazine stowage' and 'casualty handling') were selected to progress to the next stage of the process. Five tasks were selected based on cardiovascular responses and a further nine tasks selected based on task ergonomics and other factors. This research has identified and quantified the most physically demanding, critical roles undertaken by RN sailors on sea deployments and will inform the development of the RN Physical Employment Standard.

Identifying kindergarteners at-risk of writing difficulties based on foundational literacy skills

AbstractThe main aim of this study was to evaluate the Early Grade Writing Assessment for Kindergarten (EGWA-K), which is grounded in foundational literacy skills, for its validity and diagnostic accuracy in identifying children at risk of developing early learning disabilities in writing (LDW). To the best of our knowledge, no such tool exists for Spanish-speaking children. A sample of 363 Spanish kindergarten children aged 4.7 to 6.6 years was selected for this purpose. The EGWA-K protocol, comprising four tasks (i.e., phonological awareness, writing words from pictures, free writing of words, and oral narrative), was administered to the sample. Additionally, two criterion tasks based on free letter writing and teacher ratings were included for validation purposes. First, an exploratory factor analysis (EFA) was conducted using parallel analysis to determine the dimensionality of the EGWA-K, which was confirmed by a confirmatory factor analysis (CFA) yielding two factors (one related to transcription ability and the other to narrative competence). Additionally, measurement invariance was confirmed at the configural, metric, scalar, and residual levels by gender. The EGWA-K had an acceptable area under the ROC curve (AUC in the 0.87 range), particularly when free letter writing was utilized as the criterion measure, with adequate sensitivity (0.90) and specificity (0.71) indices. Therefore, a reliable and construct-valid screening tool such as the EGWA-K is now available for the early identification of LDW in Spanish kindergarten children.

Evaluation of BERT and ChatGPT models in inference, paraphrase and similarity tasks

The purpose of this paper is to study the application of ChatGPT and BERT models in the field of mechanical engineering. In the context of machine learning, the ChatGPT and BERT models can be applied to various natural language processing tasks such as analyzing technical documentation and building instructions according to a particular version of the documentation, diagnosing malfunctions or customer service. The paper discusses the fundamental features of BERT and ChatGPT models, their origin, and also investigates the main architectural features and identifies the main advantages and disadvantages of the models. The paper analyzes and selects various natural language processing tasks to test the models’ ability to understand natural language in the context of machine learning. The selected criterion tasks are divided into semantic groups to identify the capabilities of ChatGPT and BERT models in each of three areas: logical inference tasks, paraphrasing tasks, and text similarity tasks. The paper also discusses the concept of operational design, which involves developing inputs that guide the models to produce desired outputs. The paper quantitatively analyzes and compares the performance of BERT and ChatGPT based models. The reasons for the bottlenecks of ChatGPT model in natural language understanding tasks are discovered and investigated. Possible improvements of ChatGPT model performance using the mivar approach are considered.

The influence of cognitive training using mobile applications on attentional control and impulsivity among pre-service teachers

The purpose of this study was to investigate the influence of cognitive training (CT) using mobile applications on attentional control and impulsivity among pre-service teachers. Pre-service teachers were divided into two groups: experimental (n=25) and control (n=14) groups, they were selected from a large sample (n=718). Over 28 sessions, the training group engaged in CT tasks (the tower of Hanoi [TOH] and simple reaction time [SRT]), whereas the control group did not participate in training sessions or understand the main goal of the study. In the criterion tasks (matching familiar figures and numerical Stroop), all participants were pre- and post-tested. CT using mobile applications helps us see how the trained group’s attentional control and impulsivity had influenced. we also observed the progress of trained group as measured by number of moves or time for TOH, and reaction time (RT) for SRT. Other effects were observed in comparison to a control group that underwent no training. There were changes in impulsivity in post-test in favor of training group according to number of moves, and time component of matching familiar figures test. Corresponding to attentional control, the finding indicated that there were changes in (number and size) RT component in post-test in favor of training group.

Is there a g in gunslinger? Cognitive predictors of firearms proficiency

This study addressed a gap in the research literature by evaluating the validity of general mental ability (g) and personality test scores for prediction of firearms proficiency via shooting range performance, an entirely objective task-based criterion. It was hypothesized that mental ability test scores would be positively related to firearms proficiency based on past research in related areas (e.g., g predicts skill acquisition and training performance) and conceptual similarities between firearms proficiency and cognitive tasks. Using 4 datasets with a combined sample size of 22,525 individuals, this hypothesis was confirmed: g had operational validities ranging from .162 to .188 and logical reasoning had operational validities ranging from .179 to .268 after correcting for range restriction and criterion unreliability. Mental ability test scores predicted an entirely psychomotor criterion task: use of firearms to hit targets at a pre-determined level of accuracy. Most of the validity appears to be attributable to g, but a post hoc analysis indicated that writing ability acted as a suppressor (i.e., the validity of g increased when writing ability was included in a regression model). Conscientiousness was hypothesized to have a positive relationship with firearms performance and emotional stability was hypothesized to have positive linear and quadratic relationships. In contrast, it was observed that conscientiousness had a negative operational validity (−.079) and emotional stability lacked validity relative to the firearms proficiency criterion. The implications for individual differences research and practice are discussed.

Parametric optimization of frequency oscillation minimum surface shell on a rectangular contour under thermal load

Providing all parameters according to two groups of limit states at the design stage is a multi–criteria task. Optimal design helps to perform such tasks. When the phenomenon of resonance occurs, it is necessary to change the frequency of forced oscillations of the load–bearing structures of various tanks and coatings in order to ensure sufficient strength and stability of the structure and the building in general. For this purpose, there is a separate type of problem in optimal design that allows us to change the forced frequencies of oscillations using the example of the shell of the minimum surface on a rectangular contour.
 In mathematical point of view, optimal design tasks are optimization tasks, finding the extremum of the target function (maximum or minimum). Methods of solving optimal design problems can be conditionally divided into two groups. One of them will include methods that are based on using necessary conditions for the extremum of the objective function. The second group includes methods: linear, convex and dynamic programming, random search methods. The application of modern methods of mathematical optimization requires powerful PCs with a large RAM, therefore, when choosing optimization, it is necessary to take into account the capabilities of computer equipment.
 The optimization algorithm for single–criteria parametric optimization is performed as follows: the objective function is the weight of the shell of the minimum surface on a rectangular contour, the design variables are the shell thickness from 1 to 50 mm, the constraints are presented with first forced oscillation frequency is 0,15 Hz.
 Using software complex Femap with Nastran and our own software, a single–criterion parametric optimization was made. The results of changing the objective function are reducing the weight of the shell by 2300 kg of C240 steel, which is equivalent to 10,3% without losing the strength and stability of the minimum surface shell on a rectangular contour. Using author's methodology and own software, it is possible to perform an effective optimization calculation for the minimum surface shell on a rectangular contour.

Development of Motor Imagery in School-Aged Children with Autism Spectrum Disorder: A Longitudinal Study.

Autism spectrum disorder (ASD) is a diagnosis based on social communication deficits and prevalence of repetitive stereotyped behaviors, but sensorimotor disturbances are commonly exhibited. This longitudinal study aimed at exploring the development of the ability to form mental motor representations (motor imagery; MI) in 14 children with ASD and 17 typically developing (TD) children at 7, 8 and 9 years of age. MI was investigated using a hand laterality paradigm from which response times (RT) and error rates were extracted and compared with performance on a visually based mental rotation task (VI). A criterion task was used to ensure that the children could perform the task. The results showed wide performance variability in the ASD group with more failures than TD in the MI criterion task, especially at 7 years. For all age levels and both the MI and VI tasks, the error rates were significantly higher and RTs longer for the ASD group compared with TD. Signs of MI strategies were however noted in the ASD group as biomechanically constrained orientations had longer RTs than less constrained orientations, a RT pattern that differed from the VI task. The presence of MI in the ASD group was most evident at 9 years, but the error rates remained high at all ages, both in the MI and VI task. In comparison, the TD group showed stable MI strategies at all ages. These findings indicate that MI ability is delayed and/or impaired in children with ASD which may be related to difficulties performing required mental rotations.

Cognitive and hippocampal changes weeks and years after memory training

While immediate effects of memory-training are widely reported in young and older adults, less is known regarding training-dependent hippocampal plasticity across multiple intervention phases, and long-term maintenance of such. Here, 157 healthy young and older adults underwent a training-intervention including two 10 weeks periods of episodic-memory training, separated by two 2 weeks periods of no training. Both age groups showed improvements on a criterion task, which prevailed after 3 years. When compared to the reference condition of no training, relative increases in hippocampal volume were observed after the training across age groups, which were maintained after 10 weeks periods of no training. However, there was age-group dependent temporal variation with respect to timing of effects. Hippocampal volume of the training group did not differ from that of a passive control-group 3 years after the intervention. The young showed an immediate near-transfer effect on a word-association task. We show that training-gains on memory performance can prevail for at least 3 years. Memory training can induce increases in hippocampal volume immediately after the intervention and after months. Episodic-memory training can produce transfer effects to a non-trained memory task in young adults. However, maintained effects on hippocampal volume beyond 10 weeks are uncertain, and likely require continuous training.

Tissue Flossing Around the Thigh Does Not Provide Acute Enhancement of Neuromuscular Function.

Nowadays, various methods are used for acute performance enhancement. The most recent of these is tissue flossing, which is becoming increasingly popular for both performance enhancement and rehabilitation. However, the effects of flossing on athletic performance have not been clearly demonstrated, which could be due to differences in the methodology used. In particular, the rest periods between the end of the preconditioning activity and the performance of the criterion task or assessment tools varied considerably in the published literature. Therefore, the present study aimed to investigate the effects of applying tissue flossing to the thigh on bilateral countermovement jump performance and contractile properties of vastus lateralis (VL) muscle. Nineteen recreational athletes (11 males; aged 23.1 ± 2.7 years) were randomly assigned to days of flossing application (3 sets for 2 min of flossing with 2 min rest between sets) with preset experimental pressure (EXP = 95 ± 17.4 mmHg) or control condition (CON = 18.9 ± 3.5 mmHg). The first part of the measurements was performed before and after warm-up consisting of 5 min of cycling followed by dynamic stretching and specific jumping exercises, while the second part consisted of six measurement points after flossing application (0.5, 3, 6, 9, 12, 15 min). The warm-up improved muscle response time (VL = -5%), contraction time (VL = -3.6%) muscle stiffness (VL = 17.5%), contraction velocity (VL = 23.5%), jump height (13.9%) and average power (10.5%). On the contrary, sustain time, half-relaxation time and take-off velocity stayed unaltered. Flossing, however, showed negative effects for muscle response time (F = 18.547, p < 0.001), contraction time (F = 14.899, p < 0.001), muscle stiffness (F = 8.365, p < 0.001), contraction velocity (F = 11.180, p < 0.001), jump height (F = 14.888, p < 0.001) and average power (F = 13.488, p < 0.001), whereas sustain time, half-relaxation time and take-off velocity were unaffected until the end of the study protocol regardless of condition assigned and/or time points of the assessment. It was found that the warm-up routine potentiated neuromuscular function, whereas the flossing protocol used in the current study resulted in fatigue rather than potentiation. Therefore, future studies aimed to investigate the dose-response relationship of different configurations of preconditioning activities on neuromuscular function are warranted.

Neuronal efficiency following n-back training task is accompanied by a higher cerebral glucose metabolism

Recent functional magnetic resonance imaging (fMRI) studies revealed lower neural activation during processing of an n-back task following working memory training, indicating a training-related increase in neural efficiency. In the present study, we asked if the training induced regional neural activation is accompanied by changes in glucose consumption. An active control and an experimental group of healthy middle-aged volunteers conducted 32 sessions of visual and verbal n-back trainings over 8 weeks. We analyzed data of 52 subjects (25 experimental and 27 control group) for practice effects underlying verbal working memory task and 50 subjects (24 experimental and 26 control group) for practice effects underlying visual WM task. The samples of these two tasks were nearly identical (data of 47 subjects were available for both verbal and visual tasks). Both groups completed neuroimaging sessions at a hybrid PET/MR system before and after training. Each session included criterion task fMRI and resting state positron emission tomography with FDG (FDG-PET). As reported previously, lower neural activation following n-back training was found in regions of the fronto-parieto-cerebellar circuitry during a verbal n-back task. Notably, these changes co-occurred spatially with a higher relative FDG-uptake. Decreased neural activation within regions of the fronto-parietal network during visual n-back task did not show co-occurring changes in relative FDG-uptake. There was no direct association between neuroimaging and behavioral measures, which could be due to the inter-subjects’ variability in reaching capacity limits. Our findings provide new details for working memory training induced neural efficiency on a molecular level by integrating FDG-PET and fMRI measures.

Minimizing the Late Work of the Flow Shop Scheduling Problem with a Deep Reinforcement Learning Based Approach

In the field of industrial manufacturing, assembly line production is the most common production process that can be modeled as a permutation flow shop scheduling problem (PFSP). Minimizing the late work criteria (tasks remaining after due dates arrive) of production planning can effectively reduce production costs and allow for faster product delivery. In this article, a novel learning-based approach is proposed to minimize the late work of the PFSP using deep reinforcement learning (DRL) and graph isomorphism network (GIN), which is an innovative combination of the field of combinatorial optimization and deep learning. The PFSPs are the well-known permutation flow shop problem and each job comes with a release date constraint. In this work, the PFSP is defined as a Markov decision process (MDP) that can be solved by reinforcement learning (RL). A complete graph is introduced for describing the PFSP instance. The proposed policy network combines the graph representation of PFSP and the sequence information of jobs to predict the distribution of candidate jobs. The policy network will be invoked multiple times until a complete sequence is obtained. In order to further improve the quality of the solution obtained by reinforcement learning, an improved iterative greedy (IG) algorithm is proposed to search the solution locally. The experimental results show that the proposed RL and the combined method of RL+IG can obtain better solutions than other excellent heuristic and meta-heuristic algorithms in a short time.

Working Memory Training and Cortical Arousal in Healthy Older Adults: A Resting-State EEG Pilot Study.

The current pilot study aimed to test the gains of working memory (WM) training, both at the short- and long-term, at a behavioral level, and by examining the electrophysiological changes induced by training in resting-state EEG activity among older adults. The study group included 24 older adults (from 64 to 75 years old) who were randomly assigned to a training group (TG) or an active control group (ACG) in a double-blind, repeated-measures experimental design in which open eyes, resting-state EEG recording, followed by a WM task, i.e., the Categorization Working Memory Span (CWMS) task, were collected before and after training, as well as at a 6-month follow-up session. At the behavioral level, medium to large Cohen's d effect sizes was found for the TG in immediate and long-term gains in the WM criterion task, as compared with small gains for the ACG. Regarding intrusion errors committed in the CWMS, an index of inhibitory control representing a transfer effect, results showed that medium to large effect sizes for immediate and long-term gains emerged for the TG, as compared to small effect sizes for the ACG. Spontaneous high-beta/alpha ratio analyses in four regions of interest (ROIs) revealed no pre-training group differences. Significantly greater TG anterior rates, particularly in the left ROI, were found after training, with frontal oscillatory responses being correlated with better post-training CWMS performance in only the TG. The follow-up analysis showed similar results, with greater anterior left high-beta/alpha rates among TG participants. Follow-up frontal high-beta/alpha rates in the right ROI were correlated with lower CWMS follow-up intrusion errors in only the TG. The present findings are further evidence of the efficacy of WM training in enhancing the cognitive functioning of older adults and their frontal oscillatory activity. Overall, these results suggested that WM training also can be a promising approach toward fostering the so-called functional cortical plasticity in aging.

Negative but Productive: Trait Neuroticism, Situation Contingent Emotionality and Performance

Trait neuroticism has been associated with a variety of negative outcomes, including mental and physical illnesses, job dissatisfaction, low self-esteem and poor job performance, when tested at the between-person level of analysis. Impressions to the contrary, the observed effects of trait neuroticism and the associated negative emotionality are not uniformly negative. Trait neuroticism and negative emotionality are related to a range of psychological mechanisms, including goal prioritization, effort intensity, planning and detailed information processing, which enhance performance at the within-person level. We tested the effects for an integrated model including trait neuroticism and situation contingent negative emotionality on performance in an analytical engineering course with 84 first year students at a Chinese university. Situation contingent negative emotionality data were collected by ESM over a 3-week period. The criterion task was the final exam, completed 11 weeks later. Situation contingent negative emotionality positively predicted performance and this effect was moderated by trait neuroticism. Students with higher trait neuroticism were better able to channel their feelings of anger, frustration, tension and sadness in response to daily task challenges into more productive problem solving and learning on the course than their less neurotic colleagues. The paradox of the differential results for trait neuroticism at the within- and between-person levels of analyses and implications for research that integrates the two levels are discussed.

Quantifying collective intelligence in human groups

Collective intelligence (CI) is critical to solving many scientific, business, and other problems, but groups often fail to achieve it. Here, we analyze data on group performance from 22 studies, including 5,279 individuals in 1,356 groups. Our results support the conclusion that a robust CI factor characterizes a group's ability to work together across a diverse set of tasks. We further show that CI is predicted by the proportion of women in the group, mediated by average social perceptiveness of group members, and that it predicts performance on various out-of-sample criterion tasks. We also find that, overall, group collaboration process is more important in predicting CI than the skill of individual members.

Can inhibition or shifting training enhance cognitive abilities in emerging adults?

Executive functions enable and support most of our daily cognitive functioning. Within the number of executive functions proposed, updating, inhibition and shifting are most often considered as the three core executive functions. Cognitive training paradigms provide a platform for a possible enhancement of these functions. Since updating training has been studied to a greater extent, we wanted to investigate the effectiveness of inhibition and shifting training in this study. Emerging adults (psychology students) were randomly assigned either to the inhibition training (based on the Simon task; n = 36) or to the shifting training (based on the task switching paradigm; n = 35). Both groups underwent twelve 20-minute sessions distributed over four weeks. Measurements before and after the training included criterion tasks (i.e. the training tasks), near-transfer tasks (i.e. tasks that address the trained functions but use different types of stimuli or rules to respond), and far-transfer tasks (i.e., tasks that address untrained cognitive functions). The control participants (n = 36) were tested with a combination of these tasks. Both training groups improved their criteria task performance over time, while convincing training-related gains were not found in either near- or far-transfer tasks. This study raises some conceptual questions for the training of executive functions with respect to a sample of emerging adults with above-average cognitive abilities, motivational elements of training, and the role of executive functions in more complex everyday cognitive activities.

Virtual Reality Warm-up Before Robot-assisted Surgery: A Randomized Controlled Trial

Trial designThis was a randomized controlled trial. BackgroundIntraoperative errors correlate with surgeon skill and skill declines with intervals of inactivity. The goals of this research were to identify the optimal virtual reality (VR) warm-up curriculum to prime a surgeon's technical skill and validate benefit in the operating room. Materials and methodsSurgeons were randomized to receive six trial sessions of a designated set of VR modules on the da Vinci Skills Simulator to identify optimal VR warm-up curricula to prime technical skill. After performing their curricula, warm-up effect was assessed based on performance on a criterion task. The optimal warm-up curriculum was chosen from the group with the best task time and video review–based technical skill. Robot-assisted surgery–experienced surgeons were then recruited to either receive or not receive warm-up before surgery. Skill in the first 15 min of surgery was assessed by blinded surgeon and crowdworker review as well as tool motion metrics. The intervention was performing VR warm-up before human robot-assisted surgery. Warm-up effect was measured using objective performance metrics and video review using the Global Evaluative Assessment of Robotic Skills tool. Linear mixed effects models with a random intercept for each surgeon and nonparametric modified Friedman tests were used for analysis. ResultsThe group performing only a Running Suture task on the simulator was on average 31.3 s faster than groups performing other simulation tasks and had the highest Global Evaluative Assessment of Robotic Skills scores from 41 surgeons who participated. This was chosen as the optimal curriculum. Thereafter, 34 surgeons completed 347 surgeries with corresponding video and tool motion data. No statistically significant differences in skill were observed with the warm-up intervention. ConclusionsWe conclude that a robotic VR warm-up before performing the early stages of surgery does not impact the technical skill of the surgeon.

The Effects of Working Memory Training on Brain Activity.

This study aimed to investigate if two weeks of working memory (WM) training on a progressive N-back task can generate changes in the activity of the underlying WM neural network. Forty-six healthy volunteers (23 training and 23 controls) were asked to perform the N-back task during three fMRI scanning sessions: (1) before training, (2) after the half of training sessions, and (3) at the end. Between the scanning sessions, the experimental group underwent a 10-session training of working memory with the use of an adaptive version of the N-back task, while the control group did not train anything. The N-back task in the scanning sessions was relatively easy (n = 2) in order to ensure high accuracy and a lack of between-group differences at the behavioral level. Such training-induced differences in neural efficiency were expected. Behavioral analyses revealed improved performance of both groups on the N-back task. However, these improvements resulted from the test-retest effect, not the training outside scanner. Performance on the non-trained stop-signal task did not demonstrate any transfer effect. Imaging analysis showed changes in activation in several significant clusters, with overlapping regions of interest in the frontal and parietal lobes. However, patterns of between-session changes of activation did not show any effect of training. The only finding that can be linked with training consists in strengthening the correlation between task performance accuracy and activation of the parietal regions of the neural network subserving working memory (left superior parietal lobule and right supramarginal gyrus posterior). These results suggest that the effects of WM training consist in learning that, in order to ensure high accuracy in the criterion task, activation of the parietal regions implicated in working memory updating must rise.