Unleashing surgical skills: Ultra-high fidelity trauma thoracotomy training on knowledge donor platform.

BACKGROUND: Resuscitative thoracotomies are a time-sensitive emergency surgical procedure with an immediate risk of mortality. We hypothesize that a high-fidelity whole-body donor simulation model, referred to as a Knowledge Donor (KD), with mechanical lung ventilation and expired human blood perfusion could increase learner confidence in performing this critical procedure. METHODS: General surgery residents and faculty were invited to participate in KD training. Surveys were collected to track participation and confidence. RESULTS: Simulated resuscitative thoracotomies were performed involving PGY levels I-IV. Mean confidence was highest for residents with both KD and Live Patient experience (5.6 â€‹± â€‹1.7), followed by Live Patient only (4.3 â€‹± â€‹2.5), and KD only (2.6 â€‹± â€‹1.3). The mean confidence rating for residents with neither training opportunity was 1.4 â€‹± â€‹1.0. CONCLUSIONS: The KD platform is a hyper-realistic training modality that closely replicates live surgery. This platform allows residents to practice complex surgical procedures in a safe environment, without risking patient safety. This pilot program yielded early results in improving resident procedural confidence for high-risk surgical procedures, specifically resuscitative thoracotomies.

Structural variation discovery in wheat using PacBio high-fidelity sequencing.

Structural variations (SVs) pervade plant genomes and contribute substantially to the phenotypic diversity. However, most SVs were ineffectively assayed due to their complex nature and the limitations of early genomic technologies. By applying the PacBio high-fidelity (HiFi) sequencing for wheat genomes, we performed a comprehensive evaluation of mainstream long-read aligners and SV callers in SV detection. The results indicated that the accuracy of deletion discovery is markedly influenced by callers, accounting for 87.73% of the variance, whereas both aligners (38.25%) and callers (49.32%) contributed substantially to the accuracy variance for insertions. Among the aligners, Winnowmap2 and NGMLR excelled in detecting deletions and insertions, respectively. For SV callers, SVIM achieved the best performance. We demonstrated that combining the aligners and callers mentioned above is optimal for SV detection. Furthermore, we evaluated the effect of sequencing depth on the accuracy of SV detection, revealing that low-coverage HiFi sequencing is sufficiently robust for high-quality SV discovery. This study thoroughly evaluated SV discovery approaches and established optimal workflows for investigating structural variations using low-coverage HiFi sequencing in the wheat genome, which will advance SV discovery and decipher the biological functions of SVs in wheat and many other plants.

High-fidelity simulation versus case-based discussion for training undergraduate medical students in pediatric emergencies: a quasi-experimental study

Abstract Objective: To evaluate the effect of high-fidelity simulation of pediatric emergencies compared to case-based discussion on the development of self-confidence, theoretical knowledge, clinical reasoning, communication, attitude, and leadership in undergraduate medical students. Methods: 33 medical students were allocated to two teaching methods: high-fidelity simulation (HFS, n = 18) or case-based discussion (CBD, n = 15). Self-confidence and knowledge tests were applied before and after the interventions and the effect of HFS on both outcomes was estimated with mixed-effect models. An Objective Structured Clinical Examination activity was conducted after the interventions, while two independent raters used specific simulation checklists to assess clinical reasoning, communication, attitude, and leadership. The effect of HFS on these outcomes was estimated with linear and logistic regressions. The effect size was estimated with the Hedge'sg. Results: Both groups had an increase in self-confidence (HFS 59.1 × 93.6, p < 0.001; CDB 50.5 × 88.2, p < 0.001) and knowledge scores over time (HFS 45.1 × 63.2, p = 0.001; CDB 43.5 × 56.7, p-value < 0.01), but no difference was observed between groups (group*time effect in the mixed effect models adjusted for the student ranking) for both tests (p = 0.6565 and p = 0.3331, respectively). The simulation checklist scores of the HFS group were higher than those of the CBD group, with large effect sizes in all domains (Hedges g 1.15 to 2.20). Conclusion: HFS performed better than CBD in developing clinical reasoning, communication, attitude, and leadership in undergraduate medical students in pediatric emergency care, but no significant difference was observed in self-confidence and theoretical knowledge.

Multiplex competitive annealing mediated isothermal amplification with high fidelity DNA polymerase (HiFi-CAMP).

Various isothermal amplification methods have been developed for point-of-care testing (POCT) of various infectious diseases. Here, we proposed a novel isothermal amplification method, named as 5'-half complementary primers mediated isothermal amplification (HCPA). Because of the similarity of our method to the previous method competitive annealing mediated isothermal amplification (CAMP) in primer design, we also use the name CAMP for our method. We demonstrated that CAMP is mediated by both a linear isothermal amplification pattern and a loop-mediated isothermal amplification pattern. To improve the specificity and enable multiplex detection, we further developed HiFi-CAMP method that uses a small amount of high-fidelity DNA polymerase to cut HFman probe to release fluorescent signal. The HiFi-CAMP method was demonstrated to have a good specificity and sensitivity, and fast amplification speed in detection of three human respiratory viruses, severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), respiratory syncytial virus A (RSV-A) and influenza A viruses (IAV). When compared with gold standard RT-qPCR assays, the HiFi-CAMP assays showed sensitivities of 90.0 %, 71.4 % and 78.1 %, specificities of 100 %, 100 % and 95.5 %, and consistencies of 93.0 %, 93.3 % and 88.2 % for SARS-CoV-2, RSV-A and IAV, respectively. Furthermore, a duplex HiFi-CAMP assay was also developed to simultaneously detect RSV-A and SARS-CoV-2. The HiFi-CAMP will provide a promising candidate for POCT diagnosis in resource-limited settings.

Development and Evaluation of Interprofessional High-Fidelity Simulation Course on Medication Therapy Consultation for German Pharmacy and Medical Students-A Randomized Controlled Study.

Recently, there has been a remarkable move towards interprofessional collaboration in response to the COVID-19 pandemic and the care of comorbidities. In Germany, there has been a gradual increase in interprofessional learning in medical and pharmacy education, aiming to enhance patient care. To adapt the pharmacy curriculum for collaborative practice between pharmacy and medical students, we developed an immersive interprofessional collaboration course for pharmacy students using adult and pediatric high-fidelity simulators (HFS) to assess and train medication consultation skills. In a randomized controlled trial, we investigated whether interprofessional training between pharmacy and medical students results in differences in pharmacy students' performance of medication therapy consultation compared to the case of mono-professional training of pharmacy students only. Before and after inter/mono-professional training, each pharmacy student performed an objective structured clinical examination (OSCE) and completed a self-assessment questionnaire. Additionally, an attitude survey towards interprofessional learning was completed by pharmacy and medical students at the end of the training. As expected, interprofessional as well as mono-professional training showed a statistically significant increase in medication consultation skills. Of importance, the performance in the interprofessional training group was significantly better than in the mono-professional group, particularly in drug therapy counselling and consultation behaviors. There was a significant difference between the intervention and control groups in self-assessment scores, and all study participants had positive attitudes toward interprofessional collaboration and training. Therefore, interprofessional training using HFS has been shown to appropriately train pharmacy students for collaborative practice and consultation skills.

Socioemotional Skills in the Teaching-Learning Process Mediated by Medium- and High-Fidelity Clinical Simulation in Nursing Students: Protocol for a Scoping Review.

BACKGROUND: In nursing education, contact with real scenarios implies the design of favorable experiences to develop prioritization, reasoning, critical thinking, and management skills that support future practice. In the context of the teaching-learning process, simulation emerges as a support strategy, but its use and management require the knowledge and appropriation of teachers. Clinical simulation during education promotes growth in technical skills and aptitudes such as critical thinking, emotional management, organization, delegation, and teamwork. The culmination positively impacts the student, reflecting on their confidence, security, and adaptability to unexpected or unknown situations and risks. OBJECTIVE: The aim of this scoping review is to determine the socioemotional skills described during the teaching-learning process mediated by medium- and high-fidelity clinical simulation in nursing students. METHODS: The main concepts and limits of the research area will be determined according to the 5 phases of a scoping review proposed by Arksey and O'Malley. Research articles and postgraduate theses published between 2010 and 2023 in English and Spanish will be considered. Dissertation-type documents, book chapters, editorials, abstracts, and articles focused on clinical simulation among nursing professionals will be excluded. The articles will be retrieved from databases available at the Universidad Cooperativa de Colombia, along with CINAHL, Scielo, and PubMed. The search strategy will be based on the Population-Concept-Context framework. Article selection will be carried out by 2 independent evaluators who will review titles and abstracts in stage 1 and the full text in stage 2. A database of retrieved articles will be built with the variables of interest. A qualitative thematic analysis will be conducted by 5 independent reviewers to provide an overview of the literature, focusing on identifying similarities and contrasts between studies and contributions related to the aspects of social skills described in nursing students. RESULTS: The investigation has not yet started. The findings aim to focus on variables within the academic environment that, when correlated with the clinical simulation experience, may determine student learning. The working hypothesis is that students who experience greater satisfaction or possess better communication skills also demonstrate superior performance during high-fidelity simulation activities. The most relevant results will be contrasted considering the stated objective and knowledge gaps. Key aspects will also be compared with other reviews addressing related topics such as communication, self-efficacy, and self-confidence. Skills described by other authors that were not considered in the initial literature review will also be mentioned. CONCLUSIONS: Educational institutions are responsible for including learning experiences in controlled environments such as medium- and high-fidelity simulation to ensure the acquisition of technical capabilities and additional socioemotional skills. Recognizing and managing emotions is necessary to provide adequate care for users of health care services and for the increased effectiveness of professionals. TRIAL REGISTRATION: Open Science Framework p4ays; https://osf.io/p4ays. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): PRR1-10.2196/56436.

Use of High-Fidelity Simulation as an Adjunct to Basic Life Support Training To Promote Team-Based Resuscitation Skills: A Mixed-Methods Pilot Study.

Introduction The 2020 American Heart Association's (AHA) Basic Life Support (BLS) curriculum focuses on cardiac arrest resuscitation with one or two rescuers, providing only limited opportunities to develop higher-level skills such as leadership, communication, and debriefing. This mixed-methods pilot study evaluated whether supplementing the traditional Heartcode BLS course with a high-fidelity teamwork simulation session improved mastery of these higher-level skills. Methods Twenty-four first-year medical students completed the pilot training during sessions offered in February and May of 2023. The program included the traditional AHA Heartcode BLS course, which ranges from two to four hours, and includes both online and in-person skills components. This was followed by a 90-minute high-fidelity simulation session consisting of two simulated resuscitations separated by a student-led plus/delta debriefing. Facilitators then debriefed the entire activity. Students completed an anonymous online survey that used a 0-10 slider scale to attribute their perceived proficiency for specific skills to the initial BLS course or the teamwork simulations and provided qualitative feedback. Results Twenty-one students (87.5%) completed the follow-up survey. Students credited their proficiency in technical skills (e.g., "Chest Compressions") to both sessions equally, but proficiency in higher-level skills, such as leadership, communication, and teamwork, was predominantly credited to the simulation. Additionally, students reported that the teamwork simulation promoted realism and increased self-efficacy. Conclusion Team-based resuscitation simulations using high-fidelity equipment augmented the AHA BLS course by promoting perceived competence in team dynamics domains and increasing students' self-efficacy for participating in real hospital-based resuscitations. Studies with larger sample sizes and objective data should be performed, and the use of similar resuscitation simulations or the development of a formal team-based BLS certification course should be considered.

Development of a Competency Assessment Framework for Pharmacy Residents Participating in High-Fidelity Simulation and Creation of the SIMPHARM Assessment Tool.

Background: Simulations are used to improve professional practice across multiple health professions; however, the application of simulations in pharmacy curricula has been limited by a lack of evidence. Objectives: To delineate the competencies of pharmacy residents needed to assess their progress while participating in a high-fidelity simulation training program and to create a reliable assessment tool based on these competencies. Methods: A literature review was conducted, followed by application of a modified Delphi method. An assessment tool based on the results of these activities was drafted (in French). A second modified Delphi process was carried out to assess the reliability of the tool, and the tool was modified accordingly. Results: The literature search yielded a total of 2670 articles, of which 289 were included for analysis. The first modified Delphi process involved 19 experts in the first round and 10 experts in the second round. The Cronbach α was 0.866 (95% confidence interval [CI] 0.713-0.960), indicating good reliability. A total of 7 competencies were retained for inclusion in the SIMPHARM assessment tool: professionalism, leadership, teamwork, communication, critical thinking, preparation and packaging of medications, and pharmaceutical calculations. The second modified Delphi process involved 9 experts in the first round and 11 experts in the second round. The final Cronbach α was 0.877 (95% CI 0.741-0.960). Conclusions: To the authors' knowledge, this was one of the largest studies exploring pharmacy competencies in the context of simulations. This work yielded a reliable framework for the assessment of pharmacy residents' competencies. This assessment tool may help evaluators in assessing the competencies of pharmacy trainees after simulation training.

Contexte: Les simulations sont utilisées dans le but d'améliorer la pratique professionnelle de plusieurs professions de la santé; cependant, le manque de données probantes limite leur application dans les programmes d'enseignement en pharmacie. Objectifs: Décrire les compétences nécessaires pour évaluer le progrès des résidents en pharmacie qui participent à une formation basée sur un programme de simulation haute-fidélité; et mettre au point un outil d'évaluation fiable qui se base sur ces compétences. Méthodologie: Une revue de littérature a été effectuée, avant d'appliquer une méthode Delphi modifiée et de faire l'ébauche d'un outil d'évaluation (en français) basé sur les résultats de ces activités. Une deuxième méthode Delphi modifiée a été appliquée pour évaluer la fiabilité de l'outil et celui-ci a fait l'objet de modifications en conséquence. Résultats: La revue de littérature a donné un total de 2670 articles, parmi lesquels 289 ont été inclus à des fins d'analyse. La première méthode Delphi modifiée a impliqué 19 experts pour la première phase, et 10 pour la seconde. Le coefficient alpha de Cronbach était de 0,866 (intervalle de confiance [IC] à 95 % 0,713­0,960), indiquant une bonne fiabilité. Au total, 7 compétences à inclure dans l'outil d'évaluation ont été retenues: professionnalisme, leadership, travail d'équipe, communication, pensée critique, préparation et conditionnement des médicaments, et calculs pharmaceutiques. La deuxième méthode Delphi modifiée impliquait quant à elle 9 experts pour la première phase et 11 pour la seconde. Le coefficient alpha de Cronbach final était de 0,877 (IC à 95 % 0,741­0,960). Conclusions: À la connaissance des auteurs, cette étude était l'une des plus importantes se penchant sur les compétences en pharmacie dans le contexte des simulations. Ce travail a donné lieu à un cadre de référence fiable pour évaluer les compétences des résidents en pharmacie. Cet outil d'évaluation pourrait aider les évaluateurs à évaluer les compétences des stagiaires à la suite d'une formation par simulation.

Assessment of the Impact of Technical Incidents in Critical Situations Using High-Fidelity Simulation Techniques in Pediatric Intensive Care.

Introduction In certain fields such as anesthesia and critical care, technical incidents are rare events; however, when they occur, they disrupt workflow, optimal patient care, and survival, with human factors often implicated. In pediatric resuscitation, the impact of these incidents on patient care has not yet been thoroughly explored through simulation. Consequently, we investigated how healthcare teams integrate technical incidents in critical situations and whether this interferes with the adequate management of patients. Materials & methods In a single-blind randomized study utilizing high-fidelity simulation, we incorporated a pediatric scenario involving hypoxemia in an intubated and ventilated infant where the endotracheal tube (ETT) was obstructed. A technical incident (disconnected oxygen supply) was either present (TI+) or absent (TI-) in the scenario. We compared reaction times for "removal of the obstructed ETT" between the two groups (TI+ and TI-). Additionally, we recorded and analyzed reaction times for "bag ventilation" and "repair of the technical incident" in the TI+ group. To assess the scenario's credibility, we conducted an analysis comparing the medians of evaluation forms that were anonymously completed by participants at the end of the sessions. Results In total, 10 simulation sessions were conducted, five TI+ and five TI-. The time required for removal of the obstructed ETT in the presence of a technical incident was significantly prolonged compared to controls (Mann-Whitney test, p=0.03). Furthermore, bag ventilation precedes tube removal in the TI+ group, a contrast to the TI- group, which quickly removes the obstructed ETT before stabilizing the patient with bag-mask ventilation. Conclusion Technical incidents in simulated pediatric scenario adversely affect urgent care in ventilated children. Developing and validating a procedural response to these situations through further simulation is imperative.

Chasing Sequencing Perfection: Marching Toward Higher Accuracy and Lower Costs.

Next-generation sequencing (NGS), represented by Illumina platforms, has been an essential cornerstone of basic and applied research. However, the sequencing error rate of 1 per 1000 bp (10-3) represents a serious hurdle for research areas focusing on rare mutations, such as somatic mosaicism or microbe heterogeneity. By examining the high-fidelity sequencing methods developed in the past decade, we summarized three major factors underlying errors and the corresponding 12 strategies mitigating these errors. We then proposed a novel framework to classify 11 preexisting representative methods according to the corresponding combinatory strategies and identified three trends that emerged during methodological developments. We further extended this analysis to eight long-read sequencing methods, emphasizing error reduction strategies. Finally, we suggest two promising future directions that could achieve comparable or even higher accuracy with lower costs in both NGS and long-read sequencing.

Training in cardiothoracic surgery: The role for simulation.

Adequate cardiothoracic surgical training is essential for provision of quality care to patients. In recent years, simulation-based training has been advocated as an adjunct to traditional surgical training. Advances in simulation technology has resulted in many low- and highfidelity simulators being employed in cardiothoracic surgical training. Such models allow trainees to practice an array of realistic full-length procedures in a safe and controlled environment, with the window to make mistakes and consider them learning points. There is significant evidence to demonstrate the effectiveness of cardiothoracic surgery simulation in improving surgical skills and operating room performances in addition to building confidence among trainees. However, owing to the high financial cost of arranging it, simulation-based training is not widespread in low- and middle-income countries, including Pakistan. More work is warranted on the cost effectiveness of implementing simulation-based learning, which, in turn, would increase the uptake of simulation to enhance cardiothoracic surgical training in Pakistan.

Undergraduate Student Nurses' Satisfaction, Self-confidence, and Perception of High-fidelity Simulation-based Learning on Critically-ill Patients.

Background and Objective: Replicating critical care practice settings in high-fidelity simulation (HFS) provides more learning opportunities to develop competencies, improve self-confidence, and learner satisfaction in a safe environment. Simulation is increasingly adopted globally as an alternative teaching strategy. Yet, data on the HFS experience of Filipino undergraduate nursing students is limited. This study describes the satisfaction, self-confidence, and perception of undergraduate nursing students on the use of HFS-based learning on critically-ill adult and pediatric patients requiring advanced life support (ALS). Methods: A quantitative, descriptive, correlational study was conducted using purposive sampling on all fourth-year BS Nursing students enrolled in Critical Care Nursing course in a state university. Data were collected through an online survey on demographic data, and the students' perceptions towards high-fidelity simulation-based learning (SBL) using three tools, namely: Simulation Design Scale, Educational Practices Questionnaire, and Student Satisfaction and Self-confidence in Learning. T-test and ANOVA were used to compare the means of the variables. Bivariate analysis (Pearson's product-moment correlation) was performed to find the relationship between variables. Results: A total of 86 students participated in the survey. Overall, the students were highly satisfied with the simulation experience (4.46 out of 5.0, SD=0.47), and had high ratings of self-confidence in SBL (4.44 out of 5.0, SD=0.42). Overall satisfaction level was positively related to student's perception on simulation design (r=0.61, p<0.01) and educational practices (r=0.59, p<0.01). Similarly, the students' overall self-confidence with SBL was also positively correlated with their perceptions of the simulation design (r=0.32, p<0.01), and educational practices (r=0.34, p<0.01). Conclusion: Effective use of technology through HFS-based learning is useful in increasing satisfaction and self-confidence of Filipino undergraduate nursing students in caring for critically-ill patients needing ALS. Educators must highly consider all parameters of simulation design and educational practices in planning and implementing HFS-based learning to achieve meaningful learner experience.

Long-read genome assembly of the Japanese parasitic wasp Copidosoma floridanum (Hymenoptera: Encyrtidae).

Copidosoma floridanum is a cosmopolitan species and an egg-larval parasitoid of the Plusiine moth. C. floridanum has a unique development mode called polyembryony, in which over two thousand genetically identical embryos are produced from a single egg. Some embryos develop into sterile soldier larvae precociously, and their emergence period and aggressive behavior differ between the US and Japanese C. floridanum strains. Genome sequencing expects to contribute to our understanding of the molecular bases underlying the progression of polyembryony. However, only the genome sequence of the US strain generated by the short-read assembly has been reported. In the present study, we determined the genome sequence of the Japanese strain using Pacific Biosciences high-fidelity reads and generating a highly contiguous assembly (552.7 Mb, N50: 17.9 Mb). Gene prediction and annotation identified 13,886 transcripts derived from 10,786 gene models. We searched the genomic differences between US and Japanese strains. Among gene models predicted in this study, 100 gene loci in the Japanese strain had extremely different gene structures from those in the US strain. This was accomplished through functional annotation (GGSEARCH) and long-read sequencing. Genomic differences between strains were also reflected in amino acid sequences of vasa that play a central role in caste determination in this species. The genome assemblies constructed in this study will facilitate the genomic comparisons between Japanese and US strains, leading to our understanding of detailed genomic regions responsible for the ecological and physiological characteristics of C. floridanum.

Enhancing nursing students' clinical competency using a multi-patient simulation learning model: A randomized controlled study.

BACKGROUND: For nurses, clinical competency is paramount in ensuring that patients receive safe, high-quality care. Multi-patient simulation (MPS) in nursing education is gaining attention, and evidence shows its suitability for real-life situations. MPS can be an effective solution for nurses' continuing clinical education. OBJECTIVES: This project compares the effectiveness of MPS (involving both a standardized patient and a high fidelity simulator) and a single high-fidelity simulation (single HFS; only involving a high fidelity simulator) for enhancing the clinical competency of nursing students. DESIGN: A stratified, permuted, block randomized controlled study design was used. SETTINGS AND PARTICIPANTS: Sixty undergraduate nursing students in years 3, 4, and 5 were selected to participate. Subgroups with each comprising three undergraduate nursing students from different years were formed. METHODS: The participants were randomized to receive either an MPS (intervention group) or single HFS (control group) for 1 day; they later received the same intervention after a 30-day washout period. One objectively measured questionnaire and two self-reported questionnaires were used to measure clinical competency: the Creighton Competency Evaluation Instrument (CCEI), Clinical Competence Questionnaire (CCQ), and Simulation Effectiveness Tool - Modified Questionnaire (SET-M). RESULTS: The results revealed significant between-group differences. Specifically, the intervention group showed greater improvement than the control group in both the CCQ (linear contrast [d] = 71.4; 95 % confidence interval [CI] = 53.407, 89.393; P < 0.001) and CCEI total scores (d = 7.17; 95 % CI = 5.837, 8.503; P < 0.001). The SET-M results indicated that 85 % of the participants (n = 51) strongly agreed that they felt more confident about performing a patient handover to the healthcare team after the simulation. CONCLUSIONS: The study findings indicated that both the MPS and single HFS effectively enhanced students' clinical competency. However, MPSs have superior educational outcomes relative to traditional single HFSs.

Spatially Resolved Defect Characterization and Fidelity Assessment for Complex and Arbitrary Irregular 3D Printing Based on 3D P-OCT and GCode.

To address the challenges associated with achieving high-fidelity printing of complex 3D bionic models, this paper proposes a method for spatially resolved defect characterization and fidelity assessment. This approach is based on 3D printer-associated optical coherence tomography (3D P-OCT) and GCode information. This method generates a defect characterization map by comparing and analyzing the target model map from GCode information and the reconstructed model map from 3D P-OCT. The defect characterization map enables the detection of defects such as material accumulation, filament breakage and under-extrusion within the print path, as well as stringing outside the print path. The defect characterization map is also used for defect visualization, fidelity assessment and filament breakage repair during secondary printing. Finally, the proposed method is validated on different bionic models, printing paths and materials. The fidelity of the multilayer HAP scaffold with gradient spacing increased from 0.8398 to 0.9048 after the repair of filament breakage defects. At the same time, the over-extrusion defects on the nostril and along the high-curvature contours of the nose model were effectively detected. In addition, the finite element analysis results verified that the 60-degree filling model is superior to the 90-degree filling model in terms of mechanical strength, which is consistent with the defect detection results. The results confirm that the proposed method based on 3D P-OCT and GCode can achieve spatially resolved defect characterization and fidelity assessment in situ, facilitating defect visualization and filament breakage repair. Ultimately, this enables high-fidelity printing, encompassing both shape and function.

The effects of simulation-based education on undergraduate nursing students' competences: a multicenter randomized controlled trial.

BACKGROUND: Education in nursing has noticed a positive effect of simulation-based education. There are many studies available on the effects of simulation-based education, but most of those involve a single institution, nonrandomized controlled trials, small sample sizes and subjective evaluations of the effects. The purpose of this multicenter randomized controlled trial was to evaluate the effects of high-fidelity simulation, computer-based simulation, high-fidelity simulation combined with computer-based simulation, and case study on undergraduate nursing students. METHODS: A total of 270 nursing students were recruited from five universities in China. Participants were randomly divided into four groups at each institution: the high-fidelity simulation group, the computer-based simulation group, the high-fidelity simulation combined with computer-based simulation group, and the case study group. Finally, 239 participants completed the intervention and evaluation, with 58, 67, 57, and 57 participants in each group. The data were collected at three stages: before the intervention, immediately after the intervention, and three months after the intervention. RESULTS: The demographic data and baseline evaluation indices did not significantly differ among the four groups. A statistically significant difference was not observed between the four methods for improving knowledge, interprofessional collaboration, critical thinking, caring, or interest in learning. While skill improvement differed significantly among the different groups after the intervention (p = 0.020), after three months, no difference was observed (p = 0.139). The improvement in skill in the computer-based simulation group was significantly lower at the end of the intervention than that in the high-fidelity simulation group (p = 0.048) or the high-fidelity simulation combined with computer-based simulation group (p = 0.020). CONCLUSIONS: Nursing students benefit equally from four methods in cultivating their knowledge, interprofessional collaboration, critical thinking, caring, and interest in learning both immediately and over time. High-fidelity simulation and high-fidelity simulation combined with computer-based simulation improve skill more effectively than computer-based simulation in the short term. Nursing educators can select the most suitable teaching method to achieve the intended learning outcomes depending on the specific circumstances. TRIAL REGISTRATION: This clinical trial was registered at the Chinese Clinical Trial Registry (clinical trial number: ChiCTR2400084880, date of the registration: 27/05/2024).

Beyond 1D and oversimplified kinematics: A generic analytical framework for surrogate safety measures.

This paper presents a generic analytical framework tailored for surrogate safety measures (SSMs) that is versatile across various highway geometries, capable of encompassing vehicle dynamics of differing dimensionality and fidelity, and suitable for dynamic, real-world environments. The framework incorporates a generic vehicle movement model, accommodating a spectrum of scenarios with varying degrees of complexity and dimensionality, facilitating the estimation of future vehicle trajectory evolution. It establishes a generic mathematical criterion to denote potential collisions, characterized by the spatial overlap between a vehicle and any other entity. A collision risk is present if the collision criterion is met at any non-negative estimated future time point, with the minimum threshold representing the remaining time to collision. The framework's proficiency spans from conventional one-dimensional (1D) SSMs to extended multi-dimensional, high-fidelity SSMs. Its validity is corroborated through simulation experiments that assess the precision of the framework when linearization is performed on the vehicle movement model. The outcomes showcase remarkable accuracy in estimating vehicle trajectory evolution and the time remaining before potential collisions occur, comparing to high-accuracy numerical integration solutions. The necessity of higher-dimensional and higher-fidelity SSMs is highlighted through a comparison of conventional 1D SSMs and extended three-dimensional (3D) SSMs. The results showed that using 1D SSMs over 3D SSMs could be off by 300% for Time-to-Collision (TTC) values larger than 1.5 s and about 20% for TTC values below 1.5 s. In other words, conventional 1D SSMs can yield highly inaccurate and unreliable results when assessing collision proximity and substantially misjudge the count of conflicts with predefined threshold (e.g., below 1.5s). Furthermore, the framework's practical application is demonstrated through a case study that actively evaluates all potential conflicts, underscoring its effectiveness in dynamic, real-world traffic situations.

The efficacy of high-fidelity simulation on knowledge and performance in undergraduate nursing students: An umbrella review of systematic reviews and meta-analysis.

OBJECTIVES: This umbrella review aimed to consolidate the evidence base on the impact of high-fidelity simulation on knowledge and performance among undergraduate nursing students. DESIGN: Umbrella review with meta-analyses of pooled effect sizes, followed by an additional meta-analysis of primary studies from the included systematic reviews, excluding overlapping results. DATA SOURCES: Systematic searches were performed up to August 2023 in PubMed, Embase, and Cochrane Library. We included reviews that compared high-fidelity simulation against other learning strategies. REVIEW METHODS: The risk of bias was assessed for each included systematic review (ROBIS tool) and primary study (RoB 2 or ROBINS-I as appropriate). Random-effect meta-analyses of meta-analyses were performed to estimate the pooled effects of high-fidelity simulation on knowledge and performance. Further random-effect meta-analyses of primary studies were conducted, with overlapping studies excluded (12 %). Subgroup analyses were performed to provide a more comprehensive analysis of the findings. Trim-and-fill analyses were conducted to adjust for potential publication bias. RESULTS: Six systematic reviews were included and encompassed 133 primary studies (2767 and 3231 participants concerning performance and knowledge, respectively). The adjusted pooled effects for knowledge (SMD = 0.877, 95 % CI: 0.182 to 1.572) and performance (SMD = 0.738, 95 % CI: 0.466 to 1.010) closely aligned with those obtained from meta-analyzing the primary studies for knowledge (SMD = 0.980) and performance (SMD = 0.540), both showing high statistical heterogeneity. Traditional lectures represented the more common comparison. The subgroup analysis revealed significant differences in effect sizes across geographic locations, topics, types of control, and how interventions were reported. CONCLUSIONS: The results provide robust evidence supporting the integration of high-fidelity simulation into undergraduate nursing programs to enhance students' knowledge and performance. The high reported heterogeneity may be attributed to variations in study contexts or methodologies. Future research should explore the optimal use of high-fidelity simulation in different educational and cultural contexts.

Predicting capillary vessel network hemodynamics in silico by machine learning.

Blood velocity and red blood cell (RBC) distribution profiles in a capillary vessel cross-section in the microcirculation are generally complex and do not follow Poiseuille's parabolic or uniform pattern. Existing imaging techniques used to map large microvascular networks in vivo do not allow a direct measurement of full 3D velocity and RBC concentration profiles, although such information is needed for accurate evaluation of the physiological variables, such as the wall shear stress (WSS) and near-wall cell-free layer (CFL), that play critical roles in blood flow regulation, disease progression, angiogenesis, and hemostasis. Theoretical network flow models, often used for hemodynamic predictions in experimentally acquired images of the microvascular network, cannot provide the full 3D profiles either. In contrast, such information can be readily obtained from high-fidelity computational models that treat blood as a suspension of deformable RBCs. These models, however, are computationally expensive and not feasible for extension to the microvascular network at large spatial scales up to an organ level. To overcome such limitations, here we present machine learning (ML) models that bypass such expensive computations but provide highly accurate and full 3D profiles of the blood velocity, RBC concentration, WSS, and CFL in every vessel in the microvascular network. The ML models, which are based on artificial neural networks and convolution-based U-net models, predict hemodynamic quantities that compare very well against the true data but reduce the prediction time by several orders. This study therefore paves the way for ML to make detailed and accurate hemodynamic predictions in spatially large microvascular networks at an organ-scale.

Evaluating Satisfaction and Self-Confidence among Nursing Students in Clinical Simulation Learning.

BACKGROUND: Clinical simulation is effective in nursing student education, fostering autonomous learning and critical skill development in safe environments. This method is adaptable to dynamic educational approaches and integrates technology. Satisfaction and self-confidence are key elements in its evaluation. The general objective of this research was to describe the levels of satisfaction and self-confidence among undergraduate nursing students regarding the use of clinical simulation in the field of family and community nursing. METHODS: A cross-sectional descriptive study was conducted at the University of Jaén, Spain, during the 2023/2024 academic year. Data on sociodemographic aspects, satisfaction, and self-confidence were collected using a validated instrument. The statistical analysis included central measures, dispersion, and frequencies, with confidence intervals. RESULTS: The study involved 96 students in scenario 1 (family assessment) and 97 in scenario 2 (family intervention), with the majority being women. In scenario 1, the mean satisfaction score was 4.38 out of 5, and self-confidence was scored 4.44 out of 5. Prior preparation time correlated significantly with higher levels of satisfaction and self-confidence. In scenario 2, the mean scores were slightly higher but not statistically significant. CONCLUSIONS: Our study demonstrated high levels of satisfaction and self-confidence among nursing students following clinical simulations. Prior preparation was associated with better outcomes, and the quality of the simulation positively impacted the results.