Ajuste fino de un modelo de producción vocal para estimar el estrés de impacto utilizando un método metaheurístico

Introducción: En modelos de producción vocal que emplean estructuras de resorte-masa-amortiguador, la precisión en la determinación de coeficientes de amortiguamiento que se asemejen a las características fisiológicas de las cuerdas vocales es crucial, teniendo en cuenta posibles variaciones en la representación de la viscoelasticidad. Objetivo: Este estudio tiene como objetivo realizar un ajuste paramétrico de un modelo de producción vocal basado en un sistema de resorte-masa-amortiguador que incorpora interacción con la presión subglótica, con el fin de modelar de manera precisa las fuerzas de colisión ejercidas por las cuerdas vocales durante la fonación. Método: Se utilizó un algoritmo de búsqueda metaheurística para la síntesis paramétrica. El algoritmo se aplicó a los coeficientes de elasticidad c1 y c2, así como a los coeficientes de amortiguamiento ε1 y ε2, que se correlacionan directamente con las matrices de masa del modelo. Esto facilita el ajuste de la composición de las cuerdas para lograr un comportamiento fisiológico deseado. Resultados: El comportamiento del sistema vocal para cada ciclo de simulación se comparó con un estándar predefinido en condiciones normales. El algoritmo determinó el punto final de la simulación evaluando las discrepancias entre características clave de las señales obtenidas y las deseadas. Conclusión: El ajuste paramétrico permitió la aproximación del comportamiento fisiológico de la producción vocal, proporcionando estimaciones de las fuerzas de impacto experimentadas por las cuerdas vocales durante la fonación.

Introduction: In vocal production models employing spring-mass-damper frameworks, precision in determining damping coefficients that align with physiological vocal fold characteristics is crucial, accounting for potential variations in the representation of viscosity-elasticity properties. Objective: This study aims to conduct a parametric fitting of a vocal production model based on a mass-spring-damper system incorporating subglottic pressure interaction, with the purpose of accurately modeling the collision forces exerted by vocal folds during phonation. Method: A metaheuristic search algorithm was employed for parametric synthesis. The algorithm was applied to elasticity coefficients c1 and c2, as well as damping coefficients ε1 and ε2, which directly correlate with the mass matrices of the model. This facilitates the adjustment of fold composition to achieve desired physiological behavior. Results: The vocal system's behavior for each simulation cycle was compared to a predefined standard under normal conditions. The algorithm determined the simulation endpoint by evaluating discrepancies between key features of the obtained signals and the desired ones. Conclusion: Parametric fitting enabled the approximation of physiological vocal production behavior, providing estimates of the impact forces experienced by vocal folds during phonation.

The formation and conversion of characteristic aroma profiles and key harmful substances in different high-temperature processing of hairtail (Trichiurus Haumela).

The balance regulation between characteristic aroma and hazards in high-temperature processed fish is a hot spot. This study was aimed to explore the interactive relationship between the nutritional value, microstructures, aroma, and harmful substances of hairtail under different frying methods including traditional frying (TF), air frying (AF), and vacuum frying (VF) via chemical pattern recognition. The results indicated that VF-prepared hairtail could form a crunchy mouthfeel and retain the highest content of protein (645.53 mg/g) and the lowest content of fat (242.03 mg/g). Vacuum frying reduced lipid oxidation in hairtail, resulting in the POV reaching 0.02 mg/g, significantly lower than that of TF (0.05 mg/g) and AF (0.21 mg/g), and TBARS reached 0.83 mg/g, significantly lower than that of AF (1.96 mg/g) (P < 0.05), respectively. Notable variations were observedin the aroma profileof hairtail preparedfrom different frying methods. Vacuum frying of hairtail resulted in higher levels of pyrazines and alcohols, whereas traditional frying and air frying were associated with the formation of aldehydes and ketones, respectively. Air frying was not a healthy way to cook hairtail which produced the highest concentration of harmful substances (up to 190.63 ng/g), significantly higher than VF (5.72 ng/g) and TF (52.78 ng/g) (P < 0.05), especially norharman (122.57 ng/g), significantly higher than VF (4.50 ng/g) and TF (32.63 ng/g) (P < 0.05). Norharman and acrylamide were the key harmful substances in hairtail treated with traditional frying. The vacuum frying method was an excellent alternative for deep-fried hairtail as a snack food with fewer harmful substances and a fine aroma, providing a theoretic guidance for preparing healthy hairtail food with high nutrition and superior sensory attraction.

A capture-recapture modeling framework emphasizing expert opinion in disease surveillance.

In disease surveillance, capture-recapture methods are commonly used to estimate the number of diseased cases in a defined target population. Since the number of cases never identified by any surveillance system cannot be observed, estimation of the case count typically requires at least one crucial assumption about the dependency between surveillance systems. However, such assumptions are generally unverifiable based on the observed data alone. In this paper, we advocate a modeling framework hinging on the choice of a key population-level parameter that reflects dependencies among surveillance streams. With the key dependency parameter as the focus, the proposed method offers the benefits of (a) incorporating expert opinion in the spirit of prior information to guide estimation; (b) providing accessible bias corrections, and (c) leveraging an adapted credible interval approach to facilitate inference. We apply the proposed framework to two real human immunodeficiency virus surveillance datasets exhibiting three-stream and four-stream capture-recapture-based case count estimation. Our approach enables estimation of the number of human immunodeficiency virus positive cases for both examples, under realistic assumptions that are under the investigator's control and can be readily interpreted. The proposed framework also permits principled uncertainty analyses through which a user can acknowledge their level of confidence in assumptions made about the key non-identifiable dependency parameter.

Assessing occupational pesticide exposure in Latin America and the Caribbean: Methods review for agricultural vulnerability reduction.

B A rapid review was conducted to describe pesticide exposure assessment methodologies in Agricultural Work Contexts (AWC)s in Latin America and the Caribbean (LAC), in order to provide elements to reduce vulnerabilities within the agricultural population. A final number of 79 articles were selected from Medline via Pubmed, LILACS, and SciELO. In the region, family agriculture is the predominant form of agricultural production (72%) in informal agricultural work contexts (AWCs), which are characterized by small-scale diversified agricultural production, lower educational attainment, limited income, and a lack of social and healthcare security for the families. Indirect exposure assessment methods were the most commonly reported (58%), and its use was associated with informal AWCs (p = 0.011). Understanding AWCs and employing appropriate assessment methods can contribute to addressing vulnerabilities in the agricultural sector.

Exploring Differences in Intraoperative Medication Use Between African American and Non-Hispanic White Patients During General Anesthesia: Retrospective Observational Cohort Study.

This study aimed to explore whether differences exist in anesthesia care providers' use of intraoperative medication between African American and non-Hispanic White patients in adult surgical patients who underwent noncardiothoracic nonobstetric surgeries with general anesthesia. A retrospective observational cohort study used electronic health records between January 1, 2018 and August 31, 2019 at a large academic health system in the southeastern United States. To evaluate the isolated impact of race on intraoperative medication use, inverse probability of treatment weighting using the propensity scores was used to balance the covariates between African American and non-Hispanic White patients. Regression analyses were then performed to evaluate the impact of race on the total dose of opioid analgesia administered, and the use of midazolam, sugammadex, antihypotensive drugs, and antihypertensive drugs. Of the 31,790 patients included in the sample, 58.9% were non-Hispanic Whites and 13.6% were African American patients. After adjusting for significant covariates, African American patients were more likely to receive midazolam premedication (p < .0001; adjusted odds ratio [aOR] = 1.17, 99.9% CI [1.06, 1.30]), and antihypertensive drugs (p = .0002; aOR = 1.15, 99.9% CI [1.02, 1.30]), and less likely to receive antihypotensive drugs (p < .0001; aOR = 0.85, 99.9% CI [0.76, 0.95]) than non-Hispanic White patients. However, we did not find significant differences in the total dose of opioid analgesia administered, or sugammadex. This study identified differences in intraoperative anesthesia care delivery between African American and non-Hispanic White patients; however, future research is needed to understand mechanisms that contribute to these differences and whether these differences are associated with patient outcomes.

Traditional cooking methods decreased the allergenicity of egg proteins.

Egg allergy is one of the most common food allergies globally. This study aimed to assess the impact of four traditional cooking methods on the allergenicity of egg proteins using a comprehensive strategy, including simulated gastrointestinal digestion in vitro, serology experiments, a rat basophilic leukemia (RBL)-2H3 cell degranulation model, and a passive cutaneous anaphylaxis (PCA) mice model, and the structure changes were detected by circular dichroism (CD) spectra and ultraviolet (UV) spectra. The results showed that the processed egg proteins were more readily digested compared to raw egg proteins. The serological experiments revealed a significant reduction in immunoglobulin E binding of egg proteins after thermal treatments (p < 0.05), particularly after frying. Subsequently, the RBL-2H3 cell degranulation experiment demonstrated a marked decrease in the level of egg allergens-induced ß-hexosaminidase release after cooking (p < 0.05). Moreover, the results from the PCA mice model indicated that the increase in vascular permeability was effectively relieved in the treated groups, especially in frying group (p < 0.05). Additionally, the α-helix and ß-turn contents of processed egg proteins were significantly decreased (p < 0.05) compared with native egg proteins. The UV spectra findings showed that all cooking treatments caused significant alterations in the tertiary structure, and fluorescence analysis indicated that cooking decreased the surface hydrophobicity of egg proteins. In conclusion, four traditional cooking methods reduced the allergenicity of egg proteins, particularly frying, and this reduction was associated with structural changes that could contribute to the destruction or masking of epitopes of egg allergens. PRACTICAL APPLICATION: Egg allergy has a serious impact on public health, and there is no ideal treatment method at present. This study demonstrated that four traditional cooking methods (boiling, steaming, baking, and frying) reduced the allergenicity of egg proteins, especially frying, and the results will provide a basis for the development of hypoallergenic egg products.

A comprehensive assessment of quality management methods in the SMESH study.

BACKGROUND: This paper aims to instigate discussion and publication of methodologies applied to enhance quality management through comprehensive scientific reports. It provides a detailed description of the design, implementation, and results of the quality control program employed in the SMESH study. METHODS: Cross-sectional, multicenter, national study designed to assess the prevalence of human papillomavirus in sex workers and in men who have sex with men (MSM). Respondent-driven sampling recruitment was used. An online system was developed for the study and checkpoints were defined for data entry. The system checked the quality of biological samples and performed a retest with part of the sample. RESULTS: A total of 1.598 participants (442 sex workers and 1.156 MSM) were included. Fifty-four health professionals were trained for face-to-face data collection. The retest showed Kappa values ranging between 0.3030 and 0.7663. CONCLUSION: The retest data were mostly classified as indicating a strong association. The data generated by the checkpoints showed the successful implementation of the quality control program.

Using a general practice research database to assess the spatio-temporal COVID-19 risk.

BACKGROUND: In Flanders, general practitioners (GPs) were among the first ones to collect data regarding COVID-19 cases. Intego is a GPs' morbidity registry in primary care with data collected from the electronic medical records from a sample of general practices. The Intego database contain elaborate information regarding patient characteristics, such as comorbidities. At the national level, the Belgian Public Health Institute (Sciensano) recorded all test-confirmed COVID-19 cases, but without other patient characteristics. METHODS: Spatio and spatio-temporal analyses were used to analyse the spread of COVID-19 incidence at two levels of spatial aggregation: the municipality and the health sector levels. Our study goal was to compare spatio-temporal modelling results based on the Intego and Sciensano data, in order to see whether the Intego database is capable of detecting epidemiological trends similar to those in the Sciensano data. Comparable results would allow researchers to use these Intego data, and their wealth of patient information, to model COVID-19-related processes. RESULTS: The two data sources provided comparable results. Being a male decreased the odds of having COVID-19 disease. The odds for the age categories (17,35], (35,65] and (65,110] of being a confirmed COVID-19 case were significantly higher than the odds for the age category [0,17]. In the Intego data, having one of the following comorbidities, i.e., chronic kidney disease, heart and vascular disease, and diabetes, was significantly associated with being a COVID-19 case, increasing the odds of being diagnosed with COVID-19. CONCLUSION: We were able to show how an alternative data source, the Intego data, can be used in a pandemic situation. We consider our findings useful for public health officials who plan intervention strategies aimed at monitor and control disease outbreaks such as that of COVID-19.

Analysis of variables to determine their influence on renewable energy forecasting using ensemble methods.

Forecasting is of great importance in the field of renewable energies because it allows us to know the quantity of energy that can be produced, and thus, to have an efficient management of energy sources. However, determining which prediction system is more adequate is very complex, as each energy infrastructure is different. This work studies the influence of some variables when making predictions using ensemble methods for different locations. In particular, the proposal analyzes the influence of the aspects: the variation of the sampling frequency of solar panel systems, the influence of the type of neural network architecture and the number of ensemble method blocks for each model. Following comprehensive experimentation across multiple locations, our study has identified the most effective solar energy prediction model tailored to the specific conditions of each energy infrastructure. The results offer a decisive framework for selecting the optimal system for accurate and efficient energy forecasting. The key point is the use of short time intervals, which is independent of type of prediction model and of their ensemble method.

An evolutionary optimum amid moderate heritability in prokaryotic cell size.

We investigate the distribution and evolution of prokaryotic cell size based on a compilation of 5,380 species. Size spans four orders of magnitude, from 100 nm (Mycoplasma) to more than 1 cm (Thiomargarita); however, most species congregate heavily around the mean. The distribution approximates but is distinct from log normality. Comparative phylogenetics suggests that size is heritable, yet the phylogenetic signal is moderate, and the degree of heritability is independent of taxonomic scale (i.e., fractal). Evolutionary modeling indicates the presence of an optimal cell size to which most species gravitate. The size is equivalent to a coccus of 0.70 µm in diameter. Analyses of 1,361 species with sequenced genomes show that genomic traits contribute to size evolution moderately and synergistically. Given our results, scaling theory, and empirical evidence, we discuss potential drivers that may expand or shrink cells around the optimum and propose a stability landscape model for prokaryotic cell size.

Using a novel 'difference-in-differences' method and syndromic surveillance to estimate the change in local healthcare utilisation during periods of media reporting in the early stages of the COVID-19 pandemic in England.

OBJECTIVES: Syndromic surveillance supplements traditional laboratory reporting for infectious diseases monitoring. Prior to widespread COVID-19 community surveillance, syndromic surveillance was one of several systems providing real-time information on changes in healthcare-seeking behaviour. The study objective was to identify changes in healthcare utilisation during periods of high local media reporting in England using 'difference-in-differences' (DiD). STUDY DESIGN: A retrospective observational study was conducted using five media events in January-February 2020 in England on four routinely monitored syndromic surveillance indicators. METHODS: Dates 'exposed' to a media event were estimated using Google Trends internet search intensity data (terms = 'coronavirus' and local authority [LA]). We constructed a negative-binomial regression model for each indicator and event time period to estimate a direct effect. RESULTS: We estimated a four-fold increase in telehealth 'cough' calls and a 1.4-fold increase in emergency department (ED) attendances for acute respiratory illness in Brighton and Hove, when a so-called 'superspreading event' in this location was reported in local and national media. Significant decreases were observed in the Buxton (telehealth and ED attendance) and Wirral (ED attendance) areas during media reports of a returnee from an outbreak abroad and a quarantine site opening in the area respectively. CONCLUSIONS: We used a novel approach to directly estimate changes in syndromic surveillance reporting during the early phase of the COVID-19 pandemic in England, providing contextual information on the interpretation of changes in health indicators. With careful consideration of event timings, DiD is useful in producing real-time estimates on specific indicators for informing public health action.

Posttraumatic growth, spiritual damage, and psychosocial and mental health problems in survivors of clergy-perpetrated child sexual abuse: A mixed methods approach.

INTRODUCTION: Although clergy-perpetrated child sexual abuse (CSA) implies severe traumatic repercussions for the victims, they may also experience posttraumatic growth (PTG) deriving from the need to deal with the trauma suffered. This PTG is associated with the processes of recovery, healing, and empowerment. OBJECTIVE: Applying a mixed methods approach to analyse PTG outcomes and to explore experiences of PTG in survivors of Spanish clergy-perpetrated CSA and its relation with psychosocial, mental and spiritual suffering. PARTICIPANTS: Thirty-one survivors (M = 51.6 years; SD = 12.4) in the quantitative stage of the research, and seven (M = 49.3; SD = 8.9) in the qualitative stage. METHODS: A sequential explanatory mixed methods study design was applied using standardized questionnaires and semi-structured interviews. Descriptive, correlation and thematic analyses were conducted. The quantitative and qualitative data were integrated. RESULTS: Positive associations were found between PTG and psychosocial and mental health problems (r = 0.53; p < .01), damage to faith in God (r = 0.43; p < .05) and damage to faith in the Church (r = 0.48; p < .01). Three themes emerged from the qualitative data that explained, expanded, and complemented the quantitative results, highlighting the relationship between damage and growth and the specific meanings of PTG from the perspectives of the survivors. CONCLUSIONS: This study shows that survivors may develop PTG in the course of the processes of psychological suffering, spiritual transformation, and meaning-making of traumatic experiences.

Machine learning-assisted SERS approach enables the biochemical discrimination in Bcl-2 and Mcl-1 expressing yeast cells treated with ketoconazole and fluconazole antifungals.

Antifungal medications are important due to their potential application in cancer treatment either on their own or with traditional treatments. The mechanisms that prevent the effects of these medications and restrict their usage in cancer treatment are not completely understood. The evaluation and discrimination of the possible protective effects of the anti-apoptotic members of the Bcl-2 family of proteins, critical regulators of mitochondrial apoptosis, against antifungal drug-induced cell death has still scientific uncertainties that must be considered. Novel, simple, and reliable strategies are highly demanded to identify the biochemical signature of this phenomenon. However, the complex nature of cells poses challenges for the analysis of cellular biochemical changes or classification. In this study, for the first time, we investigated the probable protective activities of Bcl-2 and Mcl-1 proteins against cell damage induced by ketoconazole (KET) and fluconazole (FLU) antifungal drugs in a yeast model through surface-enhanced Raman spectroscopy (SERS) approach. The proposed SERS platform created robust Raman spectra with a high signal-to-noise ratio. The analysis of SERS spectral data via advanced unsupervised and supervised machine learning methods enabled unquestionable differentiation (100 %) in samples and biomolecular identification. Various SERS bands related to lipids and proteins observed in the analyses suggest that the expression of these anti-apoptotic proteins reduces oxidative biomolecule damage induced by the antifungals. Also, cell viability assay, Annexin V-FITC/PI double staining, and total oxidant and antioxidant status analyses were performed to support Raman measurements. We strongly believe that the proposed approach paves the way for the evaluation of various biochemical structures/changes in various cells.

ADVANCED CHEMICAL AND IMAGING METHODS FOR STUDYING STRUCTURE MORPHOLOGY AND EXCIPIENTS SOLID STATE TRANSFORMATIONS IN PHARMACEUTICAL MULTIPARTICULATE FORMULATIONS.

The formulation of paediatric medicines faces significant challenges to meet the requirements for safe and accurate administration, while maintaining a suitable taste. Multiparticulate formulations have a strong potential to address these challenges because they combine dose flexibility with ease of administration. Understanding the stability of multiparticulate formulations over storage as a function of time and environmental parameters, such as humidity and temperature, is important to manage their commercialisation and use. In this work, we have expanded the toolkit of available techniques for studying multiparticulates beyond those such as scanning electron microscopy (SEM) and confocal laser scanning microscopy. We include advanced methods of environmentally-controlled SEM to monitor temperature- and humidity-induced changes in-situ, and a variety of Raman spectroscopies including stimulated Raman scattering microscopy to identify and localise the different ingredients at the surface and inside the multiparticulates. These techniques allowed unprecedented monitoring of specific changes to the particulate structure and distribution of individual ingredients due to product aging. These methods should be considered as valuable novel tools for in-depth characterisation of multiparticulate formulations to further understand chemical changes occurring during their development, manufacturing and long-term storage. We envisage these techniques to be useful in furthering the development of future medicine formulations.

Consensus methods in patellofemoral pain: how rigorous are they? A scoping review.

OBJECTIVE: Clinicians treating patients with patellofemoral pain (PFP) rely on consensus statements to make the best practice recommendations in the absence of definitive evidence on how to manage PFP. However, the methods used to generate and assess agreement for these recommendations have not been examined. Our objective was to map the methods used to generate consensus-based recommendations for PFP and apply four novel questions to assess the rigour of consensus development. DESIGN: Scoping review. DATA SOURCES: We searched Medline, SPORTDiscus, CINAHL and Embase from inception to May 2022 to identify consensus-derived statements or practice guidelines on PFP. The Joanna Briggs Institute Manual for Evidence Synthesis was followed to map the existing evidence. We measured the consensus methods based on four sets of questions addressing the panel composition, application of the consensus method chosen, agreement process and the use of evidence mapping. ELIGIBILITY CRITERIA: All consensus statements or clinical guidelines on PFP were considered. RESULTS: Twenty-two PFP consensus statements were identified. Panel composition: 3 of the 22 (14%) consensus groups reported the panellists' experience, 2 (9%) defined a desired level of expertise, 10 (45%) reported panellist sex and only 2 (9%) included a patient. Consensus method: 7 of 22 (32%) reported using an established method of consensus measurement/development. Agreement process: 10 of 22 (45%) reported their consensus threshold and 2 (9%) acknowledged dissenting opinions among the panel. Evidence mapping: 6 of 22 (27%) reported using systematic methods to identify relevant evidence gaps. CONCLUSIONS: PFP consensus panels have lacked diversity and excluded key partners including patients. Consensus statements on PFP frequently fail to use recognised consensus methods, rarely describe how 'agreement' was defined or measured and often neglect to use systematic methods to identify evidence gaps.

Evaluation of the effectiveness of a Strengths-Based Nursing and Healthcare Leadership program aimed at building leadership capacity: A concurrent mixed-methods study.

Background: Targeted interventions have been found effective for developing leadership practices in nurses. However, to date, no leadership training program based on the Strengths-Based Nursing and Healthcare Leadership approach exists. Objectives: Demonstrate the effectiveness of a Strengths-Based Nursing and Healthcare Leadership 6-month program designed for nurse and healthcare leaders on leadership capacity and psychological outcomes. Design: Concurrent mixed-methods with nurse and healthcare leaders from five healthcare organisations in Quebec and Ontario (Canada). Settings: Participants were recruited from five Canadian health care organizations: two in Toronto (Ontario) and three in Montreal (Quebec). Participants: A total of 50 nurse leaders and healthcare leaders were included in the quantitative component, and 22 (20 nurse leaders and two healthcare leaders) participated in the qualitative individual interviews. Methods: Quantitative and qualitative (interviews) methods were used. Quantitative data (pre-post surveys) were collected from the participants before their participation in the program (Time 0), as well as after the completion of the program (Time 1). Qualitative data (individual interviews) were collected from participants at the end of the program (Time 1). Analysis was conducted using descriptive statistics, paired-sample t-tests, and thematic analysis. Results: Quantitative results suggest a significant improvement in terms of leadership capabilities, work satisfaction, and reduction in perceived stress among participants. Three themes emerged from the qualitative data analysis: 1) focus on people's strengths, 2) structure and language based on Strengths-Based Nursing and Healthcare values, and 3) building support networks. Conclusions: The Strengths-Based Nursing and Healthcare Leadership program developed to build the leadership capabilities of nurse and healthcare leaders was found to be effective. The positive impact of the 6-month program was demonstrated. It was also shown that the leadership program can help improve the leadership competencies, well-being, and work satisfaction of participating nurses and healthcare leaders. Implication: This study reinforces the importance of working with educational, research, and healthcare organizations to establish leadership development programs and mentorship opportunities. Future leadership training should use a Strengths-Based Nursing and Healthcare Leadership lens when tackling leadership and stress in the workplace.

Use of active learning classrooms in health professional education: A scoping review.

Background: Active learning approaches, such as the use of active learning classrooms, can be an important measure to prepare health professional students for work-life. In addition to teaching approaches, the design of the classroom or learning spaces could facilitate learning. Although active learning classrooms are used in health professional education, no previous scoping review has investigated their use and associated outcomes. Objective: A scoping review was conducted to provide an overview of existing studies on the use of active learning classrooms in health professionals' education. Design: Scoping review using the framework of Arksey and O'Malley. Methods: A systematic search was performed in ERIC, CINAHL, PsycINFO, Ovid MEDLINE, and Ovid EMBASE for papers published between January 2012 and January 2023. Hand searches of the reference lists of the included studies were also conducted. Inclusion criteria were as follows: studies using qualitative, quantitative, or mixed methods; studies including undergraduate, graduate, or postgraduate health professional students or teachers; studies that investigated students' and teachers' use of active learning classrooms or similar concepts in higher education; and studies published in English, Swedish, Danish, Norwegian, Spanish, or Portuguese in peer-reviewed journals. Pairs of authors independently assessed the eligibility of the studies and extracted the data, which were thematically grouped. The scoping review protocol was published with the Open Science Framework prior to the study selection process. Results: The review included 11 papers from 10 studies. Most studies were published between 2018 and 2022, exploring students' perspectives. Three thematic groups were identified, suggesting that active learning classrooms (1) enhance a positive atmosphere and engagement but can be challenging; (2) facilitate students' interactions; and (3) have the potential to stimulate active learning and co-construction. Conclusions: The use of active learning classrooms in health professional education can facilitate interactions among students, between students and teachers, and between students and class content. However, the design of active learning classrooms can both enhance and challenge students' engagement and active participation. Teachers do not necessarily change their teaching approaches when compared to teaching in a traditional classroom. Future research should explore how to facilitate teachers' use of the opportunities in active learning classrooms in health professional education and students' learning outcomes, as well as the effect of high-technology active learning classrooms versus low-technology active learning classrooms on the intended learning outcome. Tweetable abstract: The use of active learning classrooms can facilitate active learning, but teachers do not necessarily change their teaching methods.

Comparison of multi-task ergonomic assessment methods for risk of upper extremity and low back musculoskeletal disorders.

Work-related musculoskeletal disorder of upper extremity multi-task assessment methods (Revised Strain Index [RSI], Distal Upper Extremity Tool [DUET]) and manual handling multi-task assessment methods (Revised NIOSH Lifting Equation [RNLE], Lifting Fatigue Failure Tool [LiFFT]) were compared. RSI and DUET showed a strong correlation (rs = 0.933, p < 0.001) where increasing risk factor exposure resulted in increasing outputs for both methods. RSI and DUET demonstrated fair agreement (κ = 0.299) in how the two methods classified outputs into risk categories (high, moderate or low) when assessing the same tasks. The RNLE and LiFFT showed a strong correlation (rs = 0.903, p = 0.001) where increasing risk factor exposure resulted in increasing outputs, and moderate agreement (κ = 0.574) in classifying the outputs into risk categories (high, moderate or low) when assessing the same tasks. The multi-task assessment methods provide consistent output magnitude rankings in terms of increasing exposure, however some differences exist between how different methods classify the outputs into risk categories.