Completion Of Training Research Articles

Activity of hippocampal CA1 field neurons during aversive memory formation and reactivation in mice <i>in vivo</i>

Activity of hippocampal CA1 field neurons during aversive memory formation and reactivation in mice <i>in vivo</i>

Modeling of the minimum number of nodes of a private university cloud virtualization cluster

Cloud technologies and computing have long been part of the practice of leading universities. However, we note that the problem of estimating the optimal number of necessary nodes of a virtualization cluster still remains relevant. When designing the virtual desktop infrastructure (or VDI) of a university private cloud, developers face many technical challenges. One of them is to estimate the minimum required number of virtualization cluster nodes on which users’ virtual machines (VMs) are hosted. These VMs, for example, are used by students and teachers to complete training tasks. Another task that arises in the development of the VDI configuration is the task of algorithmizing the placement of the VM in the computer network (СN) of the university. In this case, the optimal placement of the VM allows you to mini- mize the number of nodes of the aircraft. And this does not affect the functionality of VDI in the sun. This approach will help reduce the cost of a solution for using the infrastructure of a private university cloud. And the latter is important for universities. The article offers a model for estimating the required number of virtualization cluster nodes. The proposed model is based on a combined approach, which involves jointly solving the problem of optimal packaging and finding the configuration of server platforms of a private university cloud using a genetic algorithm.

Demographics and Research Activity Among 2023 Academic Glaucoma Specialists

ABSTRACT Purpose To characterize demographics, academic characteristics, and research activity of academic glaucoma specialists. Methods Faculty demographic and academic data were recorded for glaucoma specialist faculty from 99 United States ophthalmology residency programs using institutional websites, Doximity, and LinkedIn. H-index was calculated using Scopus. Mean and weighted relative citation ratio (RCR), measuring research impact and productivity, respectively, was determined with the National Institute of Health iCite tool. Results Most academic glaucoma specialists were men (0.61), located in the Southern United States (0.316), and in practice for less than or equal to 10 years in 2023 (0.324). Twenty-six percent had additional professional degrees, and 11% completed fellowship training in addition to clinical glaucoma. Assistant professor was the most common academic appointment (0.479), and almost a quarter (0.23) had additional positions. Mean h-index (13.3), mean-RCR (1.76), and weighted-RCR (84.0) were consistent with high research productivity and impact. Gender comparison found that men had significantly higher h-index (p < .001), m-RCR (p = .007), w-RCR (p < .001) as compared to women. H-index (p < .001; p < .001; p < .001), m-RCR (p = .006; p < .001; p < .001), and w-RCR (p < .001; p < .001; p < .001) also increased with career duration, academic position, and additional academic appointments, respectively. Additional training was associated with higher h-index (p = .023) and w-RCR (p = .012), but not m-RCR (p = .699). Conclusion Higher research activity is significantly associated with higher departmental positions and additional academic appointments. This illustrates the importance of research contributions for academic promotion. Variations in research activity by gender distribution may therefore affect opportunities for career advancement.

Application research of machine manufacturing process monitoring based on neural network

In the process of mechanical manufacturing, parameters such as geometry, size and surface quality are important factors affecting product quality. The existing technology makes it difficult to conduct product monitoring and data monitoring during machine manufacturing. At the same time, the uncertainty of the manufacturing process also brings great challenges. Therefore, it is necessary to design corresponding monitoring schemes according to different situations. Therefore, neural network based machinery manufacturing process monitoring technology is of great significance. The neural network model established in this paper can automatically learn and establish complex mapping relationships, and can predict and detect anomalies according to historical data. In addition, deep learning technology can be used to carry out adaptive feature learning on a large amount of monitoring data, and complete efficient training and real-time decision-making in a distributed environment. Compared with the common mechanical manufacturing process, neural network monitoring has a lower loss rate and error rate. The neural network based machinery manufacturing process monitoring technology will become an important direction of the future development of machinery manufacturing industry, and will have great practical application value in improving production efficiency, reducing production cost and ensuring product quality.

A Multi‐disciplinary Team Approach for Educating Providers to Recognize Delirium in the Post Anesthesia Care Unit

AbstractBackgroundPostoperative delirium is common in older adults and has significant associated morbidity and mortality. However, screening is rarely performed in the post anesthesia care unit (PACU). For this reason, clinical researchers of delirium and a tertiary care interdisciplinary delirium Task Force Team proposed to address this area of patient safety.MethodA multidisciplinary team met to complete 3 hospital learning objectives. First, to develop an educational toolkit on PACU delirium identification with feedback from hospital stakeholders on topics to be trained, implementation into medical records, and finalizing training videos/powerpoint/quiz modules. Second, to train every PACU nurse on delirium identification. An EPIC form was created with detailed instructions for completing and documenting the CAM‐ICU and included in the PACU discharge checklist. All PACU nursing staff were assigned the module, and delirium screening was made mandatory for all patients aged 65 years or older. Following module assignment, perceived value, satisfaction, and barriers were surveyed to inform modification of training and implementation. Third, delirium screening rates were monitored.ResultsNurses (n = 110) were assigned postoperative delirium training modules across 3 PACUs starting July 2022 with a 2‐week deadline. Training completion rate was 83% after 3 months. Nurses provided positive feedback on the importance of delirium. Compliance in delirium screening in the PACU was low (&lt;10%). After meeting with nursing staff to hear concerns/barriers to training and implementation, 1 on 1 training with research staff was initiated and all PACU nursing staff completed additional training between September and October. Before project implementation, no delirium screening was performed in the PACU. Over 3 months following completion of training, of 683 patients aged 65 years and older discharged from the PACU, 83 (12%) had delirium screening documented, and 0% were flagged as positive. Rate of screening differed by surgical service and hospital location.ConclusionThis hospital learning study documents the challenges and promise of implementing a PACU delirium screening program in a tertiary care academic medical center. We present data on improved delirium recognition at the hospital level, but variation in compliance rates by surgical service. Future research needs to examine reasons for variable delirium compliance screening.

Development and Human Factors Evaluation of a Portable Auditory Localization Training System.

To design and develop a Portable Auditory Localization Acclimation Training (PALAT) system capable of producing psychoacoustically accurate localization cues; evaluate the training effect against a proven full-scale, laboratory-grade system under three listening conditions; and determine if the PALAT system is sensitive to differences among electronic level-dependent hearing protection devices (HPDs). In-laboratory auditory localization training has demonstrated the ability to improve localization performance with the open (natural) ear, that is, unoccluded, and while wearing HPDs. The military requires a portable system capable of imparting similar training benefits as those demonstrated in laboratory experiments. In a full-factorial repeated measures design experiment, 12 audiometrically normal participants completed localization training and testing using an identical, optimized training protocol on two training systems under three listening conditions (open ear, TEP-100, and ComTac™ III). Statistical tests were performed on mean absolute accuracy score and front-back reversal errors. No statistical difference existed between the PALAT and laboratory-grade DRILCOM systems on two dependent localization accuracy measurements at all stages of training. In addition, the PALAT system detected the same localization performance differences among the three listening conditions. The PALAT system imparted similar training benefits as the DRILCOM system and was sensitive to HPD localization performance differences. The user-operable PALAT system and optimized training protocol can be employed by the military, law enforcement, and various industries, to improve auditory localization performance in conditions where auditory situation awareness is critical to safety.

Massive open online courses (MOOCs) in genomic variant interpretation: An innovative education strategy for the growing genetic counselor workforce.

The growth in genomic testing in healthcare requires a highly trained specialist workforce to ensure evidence based clinical germline variant interpretation. Genetic counselors form a core part of the clinical genomics multidisciplinary team (MDT) and represent a growing workforce participating in variant interpretation from data analysis to the patient consultation. Standardized, high-quality variant interpretation training for Genetic Counselors has historically been ad hoc and variable, with existing programs lacking capacity to reach the entire workforce. To address the requirement for scalable variant interpretation training for genomics healthcare professionals (HCPs), two Massive Open Online Courses (MOOCs) were developed. We analyzed the data from 17 Genetic counselors, as part of an evaluation cohort completing the first run of these MOOCs. Overall genetic counselors enjoyed the courses, felt they were clinically relevant and would recommend them to colleagues. Common challenges amongst the genetic counseling workforces included utilizing relevant databases and finding time in the workday to complete training. These findings suggest MOOCs could be an acceptable option to ensure a consistent and transferrable high standard of training, complimentary to existing curricula. They also hold the potential to facilitate large-scale education to update the genetic counseling workforce when changes in variant interpretation guidance occur.

Decentralized digital twins of complex dynamical systems

In this article, we introduce a decentralized digital twin (DDT) modeling framework and its potential applications in computational science and engineering. The DDT methodology is based on the idea of federated learning, a subfield of machine learning that promotes knowledge exchange without disclosing actual data. Clients can learn an aggregated model cooperatively using this method while maintaining complete client-specific training data. We use a variety of dynamical systems, which are frequently used as prototypes for simulating complex transport processes in spatiotemporal systems, to show the viability of the DDT framework. Our findings suggest that constructing highly accurate decentralized digital twins in complex nonlinear spatiotemporal systems may be made possible by federated machine learning.

Effect of High-Intensity Interval Training and Moderate-Intensity Continuous Training in People With Poststroke Gait Dysfunction: ARandomized Clinical Trial.

The exercise strategy that yields the greatest improvement in both cardiorespiratory fitness () and walking capacity poststroke has not been determined. This study aimed to determine whether conventional moderate-intensity continuous training (MICT) or high-intensity interval training (HIIT) have different effects on and 6-minute walk distance (6MWD). In this 24-week superiority trial, people with poststroke gait dysfunction were randomized to MICT (5 days/week) or HIIT (3 days/week with 2 days/week of MICT). MICT trained to target intensity at the ventilatory anaerobic threshold. HIIT trained at the maximal tolerable treadmill speed/grade using a novel program of 2 work-to-recovery protocols: 30:60 and 120:180 seconds. V̇O2 and heart rate was measured during performance of the exercise that was prescribed at 8 and 24 weeks for treatment fidelity. Main outcomes were change in and 6MWD. Assessors were blinded to the treatment group for but not 6MWD. Secondary outcomes were change in ventilatory anaerobic threshold, cognition, gait-economy, 10-meter gait-velocity, balance, stair-climb performance, strength, and quality-of-life. Among 47 participants randomized to either MICT (n=23) or HIIT (n=24) (mean age, 62±11 years; 81% men), 96% completed training. In intention-to-treat analysis, change in for MICT versus HIIT was 2.4±2.7 versus 5.7±3.1 mL·kg-1·min-1 (mean difference, 3.2 [95% CI, 1.5-4.8]; P<0.001), and change in 6MWD was 70.9±44.3 versus 83.4±53.6 m (mean difference, 12.5 [95% CI, -17 to 42]; P=0.401). HIIT had greater improvement in ventilatory anaerobic threshold (mean difference, 2.07 mL·kg-1·min-1 [95% CI, 0.59-3.6]; P=0.008). No other between-group differences were observed. During V̇O2 monitoring at 8 and 24 weeks, MICT reached 84±14% to 87±18% of while HIIT reached 101±22% to 112±14% of (during peak bouts). HIIT resulted in more than a 2-fold greater and clinically important change in than MICT. Training to target (ventilatory anaerobic threshold) during MICT resulted in ~3 times the minimal clinically important difference in 6MWD, which was similar to HIIT. These findings show proof of concept that HIIT yields greater improvements in cardiorespiratory fitness than conventional MICT in appropriately screened individuals. URL: https://www.clinicaltrials.gov; Unique identifier: NCT03006731.

Exercise training adaptations in liver glycogen and glycerolipids require hepatic AMP-activated protein kinase in mice.

Regular exercise elicits adaptations in glucose and lipid metabolism that allow the body to meet energy demands of subsequent exercise bouts more effectively and mitigate metabolic diseases including fatty liver. Energy discharged during the acute exercise bouts that comprise exercise training may be a catalyst for liver adaptations. During acute exercise, liver glycogenolysis and gluconeogenesis are accelerated to supply glucose to working muscle. Lower liver energy state imposed by gluconeogenesis and related pathways activates AMP-activated protein kinase (AMPK), which conserves ATP partly by promoting lipid oxidation. This study tested the hypothesis that AMPK is necessary for liver glucose and lipid adaptations to training. Liver-specific AMPKα1α2 knockout (AMPKα1α2fl/fl+AlbCre) mice and littermate controls (AMPKα1α2fl/fl) completed sedentary and exercise training protocols. Liver nutrient fluxes were quantified at rest or during acute exercise following training. Liver metabolites and molecular regulators of metabolism were assessed. Training increased liver glycogen in AMPKα1α2fl/fl mice, but not in AMPKα1α2fl/fl+AlbCre mice. The inability to increase glycogen led to lower glycogenolysis, glucose production, and circulating glucose during acute exercise in trained AMPKα1α2fl/fl+AlbCre mice. Deletion of AMPKα1α2 attenuated training-induced declines in liver diacylglycerides. In particular, training lowered the concentration of unsaturated and elongated fatty acids comprising diacylglycerides in AMPKα1α2fl/fl mice, but not in AMPKα1α2fl/fl+AlbCre mice. Training increased liver triacylglycerides and the desaturation and elongation of fatty acids in triacylglycerides of AMPKα1α2fl/fl+AlbCre mice. These lipid responses were independent of differences in tricarboxylic acid cycle fluxes. In conclusion, AMPK is required for liver training adaptations that are critical to glucose and lipid metabolism.NEW & NOTEWORTHY This study shows that the energy sensor and transducer, AMP-activated protein kinase (AMPK), is necessary for an exercise training-induced: 1) increase in liver glycogen that is necessary for accelerated glycogenolysis during exercise, 2) decrease in liver glycerolipids independent of tricarboxylic acid (TCA) cycle flux, and 3) decline in the desaturation and elongation of fatty acids comprising liver diacylglycerides. The mechanisms defined in these studies have implications for use of regular exercise or AMPK-activators in patients with fatty liver.

Employee attitudes toward suicide prevention and Counseling on Access to Lethal Means: initial findings from an academic medical center implementing the Zero Suicide framework.

Zero Suicide is a strategic framework designed to transform a healthcare system's suicide prevention activities. In 2020, University of Utah Health launched a Zero Suicide program and Counseling on Access to Lethal Means (CALM) training for its employees. In 2022, the healthcare system surveyed its workforce's attitudes toward suicide prevention and CALM. We sought to evaluate employees' attitudes and behaviors toward suicide prevention and CALM training following the launch of the Zero Suicide program. A Zero Suicide Workforce Survey was administered online through REDCap to all University of Utah Health employees. The analytic sample included 3,345 respondents. We used two-portion z-tests to compare the proportions of respondents who (1) completed CALM training and (2) did not yet complete the CALM training because they felt it was irrelevant to their position by different employee characteristics. More than half of the respondents in the analytic sample were directly interacting with patients who may be at risk for suicide (57.6%). About 8.4% of the respondents had completed CALM training. Among those who had not yet completed CALM training, 9.5% indicated they did not think CALM was relevant to their job. Respondents knowledgeable about warning signs for suicide and respondents who were confident in their ability to respond when suspecting elevated suicide risk were significantly more likely to complete CALM training. This evaluation provides important insights from the workforce of a large academic medical center implementing a Zero Suicide program, including insights on opportunities for improving program implementation and evaluation.

Should All Nurses Be Required to Complete Implicit Bias Training?

Bias mitigation requires a systematic approach.

53 2-Back Performance Does Not Differ Between Cognitive Training Groups in Older Adults Without Dementia

Objective:Cognitive training is a non-pharmacological intervention aimed at improving cognitive function across a single or multiple domains. Although the underlying mechanisms of cognitive training and transfer effects are not well-characterized, cognitive training has been thought to facilitate neural plasticity to enhance cognitive performance. Indeed, the Scaffolding Theory of Aging and Cognition (STAC) proposes that cognitive training may enhance the ability to engage in compensatory scaffolding to meet task demands and maintain cognitive performance. We therefore evaluated the effects of cognitive training on working memory performance in older adults without dementia. This study will help begin to elucidate non-pharmacological intervention effects on compensatory scaffolding in older adults.Participants and Methods:48 participants were recruited for a Phase III randomized clinical trial (Augmenting Cognitive Training in Older Adults [ACT]; NIH R01AG054077) conducted at the University of Florida and University of Arizona. Participants across sites were randomly assigned to complete cognitive training (n=25) or an education training control condition (n=23). Cognitive training and the education training control condition were each completed during 60 sessions over 12 weeks for 40 hours total. The education training control condition involved viewing educational videos produced by the National Geographic Channel. Cognitive training was completed using the Posit Science Brain HQ training program, which included 8 cognitive training paradigms targeting attention/processing speed and working memory. All participants also completed demographic questionnaires, cognitive testing, and an fMRI 2-back task at baseline and at 12-weeks following cognitive training.Results:Repeated measures analysis of covariance (ANCOVA), adjusted for training adherence, transcranial direct current stimulation (tDCS) condition, age, sex, years of education, and Wechsler Test of Adult Reading (WTAR) raw score, revealed a significant 2-back by training group interaction (F[1,40]=6.201, p=.017, η2=.134). Examination of simple main effects revealed baseline differences in 2-back performance (F[1,40]=.568, p=.455, η2=.014). After controlling for baseline performance, training group differences in 2-back performance was no longer statistically significant (F[1,40]=1.382, p=.247, η2=.034).Conclusions:After adjusting for baseline performance differences, there were no significant training group differences in 2-back performance, suggesting that the randomization was not sufficient to ensure adequate distribution of participants across groups. Results may indicate that cognitive training alone is not sufficient for significant improvement in working memory performance on a near transfer task. Additional improvement may occur with the next phase of this clinical trial, such that tDCS augments the effects of cognitive training and results in enhanced compensatory scaffolding even within this high performing cohort. Limitations of the study include a highly educated sample with higher literacy levels and the small sample size was not powered for transfer effects analysis. Future analyses will include evaluation of the combined intervention effects of a cognitive training and tDCS on nback performance in a larger sample of older adults without dementia.

2 Pilot Study of a Cognitive Enhancement Intervention for Substance Abuse Recovery

Objective:This was a pilot study testing a cognitive enhancement program to improve rate of cognitive recovery in early substance abuse treatment. It is hypothesized that if patients were able to accelerate the rate of cognitive improvement, they may be able to better engage in substance abuse treatment and potentially have better long-term outcomes.Participants and Methods:Participants were 47 adults newly admitted to a residential substance abuse treatment facility (74.5% male, 76.6% white, mean age=34.5 years, education=12+ years). All were post-detox. All were being treated for opioid abuse, with the majority in treatment for polysubstance abuse. Participants were randomly assigned to either the intervention group (BrainHQ research cognitive training program) or active control group (inert computer games) and completed 34 training sessions per week for a minimum of 3 weeks. NIH Toolbox cognition battery was administered at baseline and endpoint.Results:Regardless of study group, most participants had a significant improvement in cognitive performance across most subtests and composite scores of the NIH Toolbox cognition battery. The RAVLT and Oral Symbol Digit subtests had the greatest change (p&lt;.001) for both groups, as well as a significant improvement (p=.002) in Cognitive Function Composite Score for both groups. The only difference between the control and intervention group was on the Pattern Comparison subtest, with the intervention group scoring significantly higher at endpoint (p=.004).Conclusions:Although substance abuse is known to cause injury to the brain that may not be fully repaired by sobriety, cognitive recovery was significant in this group of patients during early inpatient treatment for opioid abuse. Although it has yielded significant effect in other patient populations, the BrainHQ program did not show a significant enhancement in cognitive recovery, compared to the active control group, in this pilot study of patients in treatment for opioid abuse. This study was limited by a small sample size and potential future variations should be considered, such as changes to intervention intensity and specific intervention exercises.

Optimizing the Numbers of Queries and Replies in Convex Federated Learning With Differential Privacy

Federated learning (FL) empowers distributed clients to collaboratively train a shared machine learning model through exchanging parameter information. Despite the fact that FL can protect clients' raw data, malicious users can still crack original data with disclosed parameters. To amend this flaw, differential privacy (DP) is incorporated into FL clients to disturb original parameters, which however can significantly impair the accuracy of the trained model. In this work, we study an imperative question which has been vastly overlooked by existing works: what are the optimal numbers of queries and replies in FL with DP so that the final model accuracy is maximized. In FL, the parameter server (PS) needs to query participating clients for multiple global iterations to complete training. Each client responds a query from the PS by conducting a local iteration. We consider FL that will uniformly and randomly select participating clients to conduct local iterations with the FedSGD algorithm. Our work investigates how many times the PS should query clients and how many times each client should reply the PS by incorporating two most extensively used DP mechanisms (i.e., the Laplace mechanism and Gaussian mechanisms). Through conducting convergence rate analysis, we can determine the optimal numbers of queries and replies in FL with DP so that the final model accuracy can be maximized. Finally, extensive experiments are conducted with publicly available datasets: MNIST and FEMNIST, to verify our analysis and the results demonstrate that properly setting the numbers of queries and replies can significantly improve the final model accuracy in FL with DP.

A SURVEY OF FULL-TIME TEACHING INTERNSHIP FOR ENGLISH EDUCATION MAJORS AT LOCAL UNIVERSITIES: A CASE STUDY OF ZHAOQING UNIVERSITY

Teaching internship is a necessary part of teacher training. Zhaoqing University has jointly established Teacher Education Reform and Innovation Pilot Zones or Collaborative Education Cooperation Zones with seven counties. Some normal university students complete important pre-job training by interning at full-time teaching positions in these pilot zones. Through journal reviews, on-site visits, and focus group interviews, this study explores the problems encountered by English education majors during their full-time teaching internship in these zones and strategies to address them to provide references for the continuous improvement of full-time teaching internship. KEYWORDS: English education majors, full-time teaching internship, teacher education, promoting learning through competitions, Teacher Education Reform and Innovation Pilot Zones.

Cognitive training for children with ADHD: composite cognitive score outcome in a randomized controlled trial

Purpose of the article Cognitive training for Attention Deficit/Hyperactivity Disorder (ADHD) has shown promising, although mixed results. In post-hoc analyses, we evaluate effects of cognitive training using a novel composite cognition score as the outcome for children attending at least 16 sessions of training, dose-response of training and associations between symptoms and cognitive functioning. Materials and methods Children (age 6–13) with ADHD were randomized to intervention (n = 26) or control (n = 34). For the current analysis, we restricted the intervention group to children, who completed at least 16 sessions of cognitive training (n = 26) and examined a dose response within that group. Results Cognition improved significantly in the intervention, but not control group. Amount of the completed training sessions correlated significantly with the amount of cognitive improvement. Conclusion Variations in dose and frequency of training may be an important source of the variance in previous studies.

Amniotic fluid cortisol predicts neonatal and infant development in non-stressed rhesus monkeys: Implications for prenatal stress

Prenatal stress adversely affects offspring development, with fetal cortisol (CORT) exposure being a primary hypothesized mechanism for stress-induced developmental deficits. Fetal CORT exposure can be assessed via measurements in amniotic fluid. However, in humans, amniocentesis is typically only performed for clinical reasons such as karyotyping; thus, amniotic fluid CORT cannot be obtained from a random sample. To test the hypothesis that fetal CORT exposure predicts neonatal and infant development in healthy primates, we measured amniotic fluid CORT in N = 18 healthy rhesus macaque (Macaca mulatta) dams (50:50 female:male infants) between 80 and 124 days gestation (mean ± SEM = 98.3 ± 2.9 days out of 165 days gestational length; i.e., second trimester). Maternal hair cortisol concentrations (HCCs) were assessed throughout pregnancy and lactation. Offspring were assessed for physical growth, neurological development, cognitive development, and HCCs across postnatal days 30–180. Controlling for gestational age at amniocentesis, higher amniotic fluid CORT significantly predicted slower infant growth rate (g/day) in the first 30 days (β = −0.19; R2 = 0.71, p = .008), poorer sensorimotor scores on the day 30 neonatal assessment (β = −0.28; R2 = 0.76, p = .015), and longer time to complete training (β = 0.48; R2 = 0.54, p = .026), but better performance (β = 0.91; R2 = 0.60, p = .011) on a discrimination cognitive task at 120–180 days. Amniotic fluid CORT was not associated with maternal or infant HCCs. Although these results are correlative, they raise the intriguing possibility that fetal CORT exposure in non-stress-exposed primates, as measured by amniotic fluid CORT, programs multiple aspects of neonatal and infant development. On the other hand, amniotic fluid CORT may not relate to chronic CORT levels in either mothers or infants when assessed by hair sampling.

Optimal Timing of Fundamentals of Endoscopic Surgery (FES) Testing in General Surgery Residency: Early Is Better

BackgroundFundamentals of endoscopic surgery (FES) completion is mandatory for certification by the American Board of Surgery (ABS). As early simulation and competency assessment can bolster development of trainee proficiency, we sought to determine the optimal timing for FES examination by evaluating pass rates based on training level and previous endoscopic experience. MethodsPGY2-5 residents at a university-based medical center who were novice to FES were assigned to complete FES training and testing. Training year, prior endoscopic experience, and FES exam scores were recorded with pre- and post-test surveys. ResultsMost residents in the program (88%) were able to complete FES training and testing within a single academic year. Most required only a single faculty-led session (88%) to feel confident to take the exam, augmented by varying numbers of independent practice sessions (50% 1–2, 19% 3–5, 27% > 5). After training, most (84%) felt confident that they would pass the exam, and 93% did so on their first attempt. While higher written exam scores were noted in the PGY5 group, there were no other statistically significant differences in overall pass rates or technical exam scores based on PGY level (p = 0.24). A number of previously completed endoscopic cases did not correlate with exam scores (p = 0.24 written, p = 0.91 technical). ConclusionFundamentals of endoscopic surgery (FES) certification can be successfully completed by junior level general surgery residents regardless of previous endoscopic experience. Moving this exam to earlier training years can benefit resident development and preparedness in the clinical setting without negatively impacting pass rates.

Investigation of the Effect Of Eight-Week Aqua Fitness Exercises On Some Strength Parameters And Body Composition With Autism Spectrum Disorder

The aim of this study is to examine the effect of eight-week aqua fitness (AF) exercises on some strength parameters and body composition of individuals with Autism Spectrum Disorder (ASD). Twenty children with ASD, aged 5 to 9 years, who participated in basic physical activity training (BMT) for at least three months were enrolled in the study. Participants were randomly divided into two groups: AF exercise group (AFG) and basic movement training group (BMTG). The AFG group was trained for 8 weeks (2 days per week) using AF, while the BMTG group completed basic movement training (BMT) exercises for 8 weeks (2 days per week). Before and after the training programs, the medicine ball throw, flexibility test, vertical jump, standing long jump, and body fat percentage of the participants were determined. The Wilcoxon test was used for statistical analysis of the study. The study measured a significant difference before and after the AF training program medicine ball throw (p=.005), sit and reach test (p=.005), vertical jump (p=.005), standing long jump (p=.005) and body fat percentage in AFG, before and after training. medicine ball throw (p=.564), vertical jump (p=.461), and standing long jump (p=.674) did not change in the BMTG group before and after training. Sit and reach (p=.039) and body fat percentage (p=.032) changed significantly in BMTG. AF exercises had a positive effect on some strength parameters and body composition in individuals with ASD. AF Exercises showed more effective results than BMT exercises in individuals with ASD