Mechanical Work Research Articles

(+)-Borneol Protects Dopaminergic Neuronal Loss in Methyl-4-phenyl-1,2,3,6-tetrahydropyridine-Induced Parkinson's Disease Mice: A Study of Dopamine Level using In Vivo Brain Microdialysis.

Considerable research efforts have been directed toward the symptom relief of Parkinson's disease (PD) by attenuating dopamine (DA) depletion. One common feature of these existing therapies is their unavailability of preventing the neurodegenerative process of dopaminergic neurons. (+)-Borneol, a natural highly lipid-soluble bicyclic monoterpene, has been reported to regulate the levels of monoamine neurotransmitters in the central nervous system and exhibit neuroprotective effects. However, the effect of (+)-borneol on the dopaminergic neuronal loss of methyl-4-phenyl-1,2,3,6-tetrahydropyridine (MPTP)-induced PD mice is not defined. Herein, we first report that 30 mg/kg (+)-borneol significantly attenuated the motor deficits of PD mice, which benefits from markedly increasing the level of DA and decreasing the metabolic rate of DA in the striatum of conscious and freely moving mouse detected by ultraperformance liquid chromatography tandem mass spectrometry online combined with in vivo brain microdialysis sampling. It is worth noting that the enhanced level of DA by (+)-borneol was enabled by the reduction in loss of tyrosine hydroxylase-immunoreactive dopaminergic neurons in the substantia nigra and striatum and promotion of reserpine- or nomifensine-induced DA release in PD mice. Interestingly, (+)-borneol evidently inhibited the decreased expression levels of DA transporter (DAT) and vesicular monoamine transporter 2 (VMAT2) on the MPTP mouse model of PD. Moreover, (+)-borneol suppressed the neuroinflammation by inhibiting the production of IL-1β, IL-6, and TNF-α and attenuated oxidative stress by decreasing the level of MDA and increasing the activities of SOD and GSH-px in PD mice. These findings demonstrate that (+)-borneol protects DA neurons by inhibiting neuroinflammation and oxidative stress. Further research work for the neuroprotection mechanism of (+)-borneol will focus on reactive oxygen species-mediated apoptosis. Therefore, (+)-borneol is a potential therapeutic candidate for retarding the neurodegenerative process of PD.

The integration of lecturer collaboration within higher education institutions’ quality culture framework

Purpose There is a lack of clarity about how lecturer collaboration in light of learning and (professional) development fits within the framework of a quality culture in higher education institutions (HEIs). More specifically, it is unclear how collaboration is present or stimulated in the organisational context, triggering working mechanisms leading to quality-related outcomes. Therefore, the purpose of this study is to relate HEIs' quality culture to lecturer collaboration. Design/methodology/approach This exploratory study relates institutions’ quality culture to lecturer collaboration via semi-structured interviews and document analysis at the institutional level in four Flemish HEIs. Findings The results demonstrate collaboration as a working mechanism driven by the institutional strategy. In this way, lecturers’ professional development (PD) is stimulated. The results also indicate that collaboration is present within lecturers’ PD: working together during or sharing experiences after PD initiatives is considered useful for quality teaching and learning. Originality/value Following the growing attention in research and practice to lecturer collaboration, this study incorporates lecturer collaboration in the framework of quality culture within HEIs.

Immediate cardiopulmonary responses to consecutive pulmonary embolism: a randomized, controlled, experimental study

BackgroundAcute pulmonary embolism (PE) induces ventilation-perfusion mismatch and hypoxia and increases pulmonary pressure and right ventricular (RV) afterload, entailing potentially fatal RV failure within a short timeframe. Cardiopulmonary factors may respond differently to increased clot burden. We aimed to elucidate immediate cardiopulmonary responses during successive PE episodes in a porcine model.MethodsThis was a randomized, controlled, blinded study of repeated measurements. Twelve pigs were randomly assigned to receive sham procedures or consecutive PEs every 15 min until doubling of mean pulmonary pressure. Cardiopulmonary assessments were conducted at 1, 2, 5, and 13 min after each PE using pressure-volume loops, invasive pressures, and arterial and mixed venous blood gas analyses. ANOVA and mixed-model statistical analyses were applied.ResultsPulmonary pressures increased after the initial PE administration (p < 0.0001), with a higher pulmonary pressure change compared to pressure change observed after the following PEs. Conversely, RV arterial elastance and pulmonary vascular resistance was not increased after the first PE, but after three PEs an increase was observed (p = 0.0103 and p = 0.0015, respectively). RV dilatation occurred following initial PEs, while RV ejection fraction declined after the third PE (p = 0.004). RV coupling exhibited a decreasing trend from the first PE (p = 0.095), despite increased mechanical work (p = 0.003). Ventilatory variables displayed more incremental changes with successive PEs.ConclusionIn an experimental model of consecutive PE, RV afterload elevation and dysfunction manifested after the third PE, in contrast to pulmonary pressure that increased after the first PE. Ventilatory variables exhibited a more direct association with clot burden.

Effect of ductility of flush end-plate connections on the behaviour of MRFs under fire conditions: An experimental study

The performance of beam-to-column connections is a key factor in the behaviour of moment-resisting frames (MRFs) under fire conditions. In this work, the behaviour and failure mechanisms of a half-scale 3D frame, composed of single-bay, single-storey MRFs and Braced Frames, in two perpendicular planes, equipped with 6 mm thick flush end-plate connections, under fire conditions was studied. A ‘scaled’ ISO 834 standard fire curve was followed during fire loading of the frame. The maximum reached temperature was 1100 °C. The temperatures of the elements of frames were measured at 2-minute time intervals. The rotations of the connections and the deflections of the MRFs’ beams at these time points were worked out using an image processing technique. Furthermore, the effect of the ductility of connections was investigated by comparing the results of this study with those of a previous one in which less ductile connections were used. The results showed that the connections used in this study could sustain large rotations of up to 0.7 radian and endure 65 min under fire. Moreover, it was found that using flexible connections (connections with thinner end-plates) enhances the ‘robustness’ of moment frames in fire.

LLMEffiChecker:Understanding and Testing Efficiency Degradation of Large Language Models

Large Language Models (LLMs) have received much recent attention due to their human-level accuracy. While existing works mostly focus on either improving accuracy or testing accuracy robustness, the computation efficiency of LLMs, which is of paramount importance due to often vast generation demands and real-time requirements, has surprisingly received little attention. In this paper, we make the first attempt to understand and test potential computation efficiency robustness in state-of-the-art LLMs. By analyzing the working mechanism and implementation of 20,543 public-accessible LLMs, we observe a fundamental property in LLMs that could be manipulated in an adversarial manner to reduce computation efficiency significantly. Our interesting observation is that the output length determines the computation efficiency of LLMs instead of the input, where the output length depends on two factors: an often sufficiently large yet pessimistic pre-configured threshold controlling the max number of iterations and a runtime generated end of sentence (EOS) token. Our key motivation is to generate test inputs that could sufficiently delay the generation of EOS such that LLMs would have to go through enough iterations to satisfy the pre-configured threshold. We present LLMEffiChecker , which can work under both white-box setting and black-box setting. In the white-box scenario, LLMEffiChecker develops a gradient-guided technique that searches for a minimal and unnoticeable perturbation at character-level, token-level, and structure-level. In the black-box scenario, LLMEffiChecker employs a causal inference-based approach to find critical tokens and similarly applies three levels of imperceptible perturbation to them. Both the white-box and black-box settings effectively delay the appearance of EOS, compelling these inputs to reach the naturally-unreachable threshold. To demonstrate the effectiveness of LLMEffiChecker , we conduct a systematic evaluation on nine public-available LLMs: Google T5, AllenAI WMT14, Helsinki-NLP translator, Facebook FairSeq, UNICAMP-DL translator, MarianMT, Google FLAN-T5, MBZUAI LaMini-GPT and Salesforce CodeGen. Experimental results show that LLMEffiChecker can increase on average LLMs’ response latency and energy consumption by 325% to 3244% and 344% to 3616%, respectively, by perturbing just one character or token in the input sentence. Our case study shows that inputs generated by LLMEffiChecker significantly affect the battery power in real-world mobile devices ( i.e. , drain more than 30 times battery power than normal inputs).

Commercial Soccer Ball‐Integrated Triboelectric Nanogenerator

Triboelectric nanogenerators (TENG) are representative mechanical energy harvesters that can easily generate electricity based on contact electrification and electrostatic induction. However, most TENGs have low mechanical and electrical output stabilities because of their unstable structures, in which separate TENG devices are attached to the outside surface of commercial products/items for application. Herein, a commercial soccer ball‐integrated TENG (CSB‐TENG) is proposed as a potential solution. The CSB‐TENG is designed with an electrode‐fully packaged all‐in‐one structure; thus, it can have remarkable mechanical and electrical output stability for 160 000 cycles. For one bouncing motion, the CSB‐TENG generates a maximum peak power of 480 μW. The working mechanism of the CSB‐TENG is established by considering the actual motion of a soccer ball (kicking, bouncing, and rolling). The electrical output of the CSB‐TENG is evaluated and analyzed based on various design and environmental variables (ball material, shoe material, ground material, impact force, ball drop height, and electrode size) in daily life. The CSB‐TENG demonstrates applications, including LED array illumination and capacitor charging tests.

Brilliant thermochromic photonic liquid dominated by electrostatic repulsion

It is challenging for traditional methods to generate liquid photonic crystals (LPCs) with brilliant colors and clear self-assembly mechanisms, owing to the major limitations in solvent choice and undesired components. Here, novel LPCs with widely tunable solvents and desired components have been successfully fabricated by non-close-assembling silica particles from silica/ethanol solution into target solvents through alternative centrifugation and sonication. The as-fabricated LPCs exhibit 1) brilliant structural colors from high reflectance (maximal: 91 %) by using solvents with low refractive indexes, much higher than those (20–40 %) of traditional LPCs; 2) tunable color saturation with high precision, difficult for conventional LPCs; and 3) a clearer working mechanism: electrostatic repulsion rather than other interactions majorly dominating the non-close-packing of silica particles in solvents. Additionally, a new type of sensitive thermochromic display unit with thermo-switchable on-off structural colors has been prepared by constructing silica/bi-solvents LPCs. This work not only paves a new way for achieving thermal-responsive LPCs but also offers a new perspective for understanding colloidal assembly.

Dual‐Polarity Response in Self‐Powered Infrared SnTe Photodetector with Double Symmetric Schottky Junctions

AbstractSelf‐powered photodetectors with dual‐polarity response have great advantages in processing complex light information that is proven to be applied in switchable light imaging, optical communication, and spectral band distinction. Here, a novel strategy for designing self‐powered photodetectors by introducing the double symmetric Schottky junctions at the semiconductor‐metal interfaces is proposed, which guarantees the linear response characteristic and dominates the transfer of photogenerated carriers without external bias. Narrow bandgap semiconductor SnTe is employed as the photosensitive material. The bandgap is characterized to be 126 meV, showing great potential for wide spectrum response. As the consequence of selective excitation of unilateral Schottky junction and switching of electric field polarity, the device obtains a dual‐polarity photoresponse, which can be tuned from −14.8 to 13.5 µV. Moreover, an ultra‐broadband photoresponse from near‐infrared 808 nm to far infrared 10.6 µm is achieved with deep exploration of the working mechanism. The synergistic effect of photo thermoelectricity and photoconductivity created a high photoresponsivity of 0.35 mV W−1 excited by 10.6 µm at room temperature. This work provides a novel design strategy for self‐powered photodetectors with a dual‐polarity powered principle, which can take full advantage of the directivity of the photoresponse to identify optical information.

Recent Advances in Machine Learning Assisted Hydrogel Flexible Sensing

Hydrogel flexible sensors are widely used in wearable devices, health care, intelligent robots and other fields due to their excellent flexibility, biocompatibility and high sensitivity. With the development of single sensor to multi‐channel and multi‐mode sensor network, the sensor data also presents the characteristics of multi‐dimension, complex and massive. Traditional data analysis methods can no longer meet the data analysis requirements of hydrogel flexible sensor networks. The introduction of machine learning (ML) technology optimizes the process of data analysis. With the continuous development of multi‐layer neural network technology and the improvement of computer performance, deep learning (DL) algorithm is increasingly used to achieve higher efficiency and accuracy, provides a powerful tool for data analysis of hydrogel flexible sensor, and accelerates the intelligent process of hydrogel flexible sensor equipment. This paper introduces the classification of hydrogel flexible sensors and the working mechanism and common algorithms of ML, and summarizes the application of ML technology to assist hydrogel flexible sensors in data analysis in the fields of health care and information recognition. This review will provide inspiration and reference for integrating ML technology into the field of hydrogel flexible sensors.

Effects of on-site Supportive Communication Training (On-site SCT) on doctor-patient communication in oncology: Study protocol of a randomized, controlled mixed-methods trial

BackgroundThe quality of communication in oncology significantly impacts patients' health outcomes, as poor communication increases the risk of unnecessary treatment, inadequate pain relief, higher anxiety levels, and acute hospitalizations. Additionally, ineffective communication skills training (CST) is associated with stress, low job satisfaction, and burnout among doctors working in oncology. While acknowledging the importance of effective communication, the specific features of successful CST remain uncertain. Role-play and recorded consultations with direct feedback appear promising for CST but may be time-consuming and face challenges in transferring acquired skills to clinical contexts. Our aim is to bridge this gap by proposing a novel approach: On-site Supportive Communication Training (On-site SCT). The concept integrates knowledge from previous studies but represents the first randomized controlled trial employing actual doctor-patient interactions during CST.MethodsThis randomized multicenter trial is conducted at three departments of oncology in Denmark. Doctors are randomized 1:1 to the intervention and control groups. The intervention group involves participation in three full days of On-site SCT facilitated by a trained psychologist. On-site SCT focuses on imparting communication techniques, establishing a reflective learning environment, and offering emotional support with a compassionate mindset. The primary endpoint is the change in percentage of items rated “excellent” by the patients in the validated 15-item questionnaire Communication Assessment Tool. The secondary endpoints are changes in doctors’ ratings of self-efficacy in health communication, burnout, and job satisfaction measured by validated questionnaires. Qualitative interviews will be conducted with the doctors after the intervention to evaluate its relevance, feasibility, and working mechanisms. Doctors have been actively recruited during summer/autumn 2023. Baseline questionnaires from patients have been collected. Recruitment of new patients for evaluation questionnaires is scheduled for Q1-Q2 2024.DiscussionThis trial aims to quantify On-site SCT efficacy. If it significantly impacts patients/doctors, it can be a scalable CST concept for clinical practice. Additionally, qualitative interviews will reveal doctors' insight into the most comprehensible curriculum parts.Trial registrationApril 2023 – ClinicalTrials.gov (NCT05842083). April 2023 – The Research Ethics Committee at the University of Southern Denmark (23/19397).

Enhancement of Li/S Battery Performance by a Modified Reduced Graphene Oxide Carbon Host Decorated with MoO3.

Electrochemical energy storage systems based on sulfur and lithium can theoretically delivery high energy with the further benefit of low cost. However, the working mechanism of this device involves the dissolutions of sulfur to high-molecular weight lithium polysulfide (LiPs with general formula Li2Sn, n>4) in the electrolyte during the discharge process. Therefore, the resulting migration of partially dissociated LiPs, by diffusion or under the effect of the electric field, to the lithium anode activates an internal shuttle mechanism, reduces the active material and in general leads to loss of performance and a reduced cycling stability. These drawbacks poses challenges to the commercialization of Li/S cells in the short term. In this study, we report on the decoration of reduced graphene oxide with MoO3 particles to enhance interactions with LiPs and retain sulfur at the cathode side. The combination of experiments and density functional theory calculation demonstrated improvements in binding interactions between the cathode and sulfur species, enhancing the cycling stability of the Li/S half-cell.

Robust Flexible Electret Tactile Sensor for Identification on Mushy Material in Harsh Environment

AbstractIn traditional food industry, the assessment of mushy materials plays an important role in high‐quality food production, which still relies heavily on human tactile perception. In this work, to address this issue for enhancing food production efficiency, a flexible electret tactile sensor that can mimic expert touch is developed. The sensor consists of a pair of electrodes, a microstructural spacer, and a pre‐charged electret. Benefiting from the electrostatic induction‐based working mechanism, the sensor attains high sensitivity and is ideal for precise sensing in actions similar to those of skilled Baijiu distillers. Due to its hermetic and electromagnetic interference‐resistant encapsulation with polypropylene/aluminum/parylene films, the sensor remained durable in vinasse in the real distillery, with its high water and alcohol content, for over 21 days. This demonstrates its long‐term stability in harsh environment. Based on the proposed flexible electret tactile sensor, an automated and intelligent vinasse identification system is built, mimicking the actions of Baijiu distillers in vinasse assessment. Combining tactile sensing data with machine learning, the system can distinguish 8 kinds of vinasses with different ingredient ratios, achieving an accuracy of 98%. This work significantly demonstrates the practical potential of the sensor in the food industry.

Quantum control of classical motion: piston dynamics in a Rabi-coupled Bose-Einstein condensate

Abstract We develop a model and explore the dynamics of a hybrid classical-quantum system consisting of a classical piston and a self-interacting pseudospin 1/2 Bose-Einstein condensate with a time-dependent Rabi coupling. We investigate the mechanical work produced by the piston moving as a result of the quantum pressure of the condensate. The time-dependent Rabi field redistributes the condensate density between the spin components and, as a result, causes a time-dependent pressure acting on the piston. Correspondingly, the motion of the piston produces quantum evolution of the condensate mass- and spin density profiles. We show how by optimised design of the time-dependent direction of the Rabi field based on a quasi-stationary quantum pressure approximation, one can control both the position and velocity of the piston.

Impact of Nitrate on the Removal of Pollutants from Water in Reducing Gas-Based Membrane Biofilm Reactors: A Review

The membrane biofilm reactor (MBfR) is a novel wastewater treatment technology, garnering attention due to its high gas utilization rate and effective pollutant removal capability. This paper outlines the working mechanism, advantages, and disadvantages of MBfR, and the denitrification pathways, assessing the efficacy of MBfR in removing oxidized pollutants (sulfate (SO4−), perchlorate (ClO4−)), heavy metal ions (chromates (Cr(VI)), selenates (Se(VI))), and organic pollutants (tetracycline (TC), p-chloronitrobenzene (p-CNB)), and delves into the role of related microorganisms. Specifically, through the addition of nitrates (NO3−), this paper analyzes its impact on the removal efficiency of other pollutants and explores the changes in microbial communities. The results of the study show that NO3− inhibits the removal of other pollutants (oxidizing pollutants, heavy metal ions and organic pollutants), etc., in the simultaneous removal of multiple pollutants by MBfR.

A review of the emerging technologies in solar cells: Dye-sensitized solar cells and quantum dot-sensitized solar cells

In the current energy crisis, more efficient and clean energy sources are needed to help move the primary energy source away from fossil fuels. Fossil fuels are one of the main contributors to greenhouse gas emissions and are shown to be unsustainable. Efforts have been made in many fields surrounding renewable energy sources, with wind power, hydropower, and nuclear power being the well-known ones. Solar power is another field that has shown tremendous promise in being a clean, renewable energy source. Dye-sensitized solar cells(DSSCs) and quantum dot-sensitized solar cells(QDSSCs) have significantly advanced over the past 30 years. They are showing great potential as the production cost for DSSCs drops and the efficiency of QDSSCs rises with every passing year. This article shows the primary working mechanism of the two solar cells, compares them, and discusses their prospect of them.

The Effect of Knee Height Asymmetry on Gait Biomechanics.

Though the primary goal for limb length discrepancy (LLD) management is to equalize the leg lengths, symmetry between corresponding long bones is usually not achieved, leading to knee height asymmetry (KHA). To date, there is minimal information on what effect KHA has on gait biomechanics and joint loading. Thus, the purpose of this study is to determine the impact of KHA on gait biomechanics. Seventeen subjects with KHA after limb equalizing surgery and 10 healthy controls were enrolled. Subjects participated in 3D gait analysis collected using self-selected speed. Lower extremity kinematics, kinetics, work generated/absorbed, and total work were calculated. Standing lower limb x-rays and scanograms were used to measure LLD and calculate the tibia-to-femur (TF) ratio for each limb. Two sample t tests were used to compare differences in standing LLD, TF ratio, and work between groups. Bivariate correlation using Pearson correlation coefficients was conducted between TF ratio and total mechanical work, as well as between knee height asymmetry indices and total work asymmetry (α=0.05). Among participants, there were no differences between LLD; however, there were differences between TF ratio and knee height asymmetry. We found a nonsignificant relationship between TF ratio and total mechanical work for individual lower extremities. Therefore, the length of individual bones (TF ratio) relative to each other within the individual lower extremity was not associated with the amount of work produced. However, when a difference exists between sides (asymmetry, ie, TF ratio asymmetry), there were associated differences in work (work asymmetry) produced between sides (r=0.54, P=0.003). In other words, greater knee height asymmetry between limbs resulted in more asymmetrical mechanical work during walking. These findings may have implications for the management of LLD. Asymmetrical total mechanical work could lead to atypical joint loading during gait. Surgeons may want to consider prioritizing achieving knee height symmetry as a postoperative goal when correcting limb length discrepancy. Level III, Case Control Study.

Efficacy and Functional Mechanisms of a Two-Stage Pretreatment Approach Based on Alkali and Ionic Liquid for Bioconversion of Waste Medium-Density Fiberboard.

A novel pretreatment strategy utilizing a combination of NaOH and 1-Butyl-3-methylimidazolium chloride ([Bmim]Cl) was proposed to enhance the enzymatic hydrolysis of abandoned Medium-density fiberboard (MDF). The synergistic effect of NaOH and [Bmim]Cl pretreatment significantly improved the glucose yield, reaching 445.8 mg/g within 72 h, which was 5.04 times higher than that of the untreated samples. The working mechanism was elucidated according to chemical composition, as well as FTIR, 13C NMR, XRD, and SEM analyses. The combined effects of NaOH and [Bmim]Cl led to lignin degradation, hemicellulose removal, the destruction and erosion of crystalline regions, pores, and an irregular microscopic morphology. In addition, by comparing the enzymatic hydrolysis sugar yield and elemental nitrogen content of untreated MDF samples, eucalyptus, and hot mill fibers (HMF), it was demonstrated that the presence of adhesives and additives in waste MDF significantly influences its hydrolysis process. The sugar yield of untreated MDF samples (88.5 mg/g) was compared with those subjected to hydrothermal pretreatment (183.2 mg/g), Ionic liquid (IL) pretreatment (406.1 mg/g), and microwave-assisted ionic liquid pretreatment (MWI) (281.3 mg/g). A long water bath pretreatment can reduce the effect of adhesives and additives on the enzymatic hydrolysis of waste MDF. The sugar yield produced by the combined pretreatment proposed in this study and the removal ability of adhesives and additives highlight the great potential of our pretreatment technology in the recycling of waste fiberboard.

Efficient desalination in fluorinated multilayered covalent organic framework: Tunning the energy landscape inside the nanochannel

The design and construction of advanced nanochannels can significantly enhance the performance of reverse osmosis (RO) membranes in desalination, offering potential solutions to the severe freshwater shortage crisis. In this study, we investigated the desalination performance of nanochannels formed by multilayered covalent organic frameworks (COF) that had undergone various types of chemical functionalization, through nonequilibrium molecular dynamics simulations. Our data reveals that fluorination of the nanochannel results in the most impressive desalination performance, as evidenced by significant improvements in both water permeability (increasing from 39.1 to 100.1 L cm−2 day−1 MPa−1) and salt rejection (rising from 91.9 % to 97.1 %). Especially, in multilayered systems, fluorinated nanochannel mitigates the typical decline in water permeability with increasing membrane thickness. For the working mechanism, the free energy analysis indicates that fluorination contributes to a smooth energy landscape for water molecules inside the nanochannel, reducing their interaction with the nanochannel, which results in a more dispersed arrangement of water molecules with fewer hydrogen bonds and a significantly enhanced water velocity, thus facilitating their fast and unobstructed permeation. Therefore, this study offers a promising semipermeable membrane for high-efficiency desalination, achieved through fluorination. It also demonstrates an indicative approach for advanced channel design through fluorination engineering.

Biomechanical Analysis of Human Gait When Changing Velocity and Carried Loads: Simulation Study with OpenSim

Walking is one of the main activities of daily life and gait analysis can provide crucial data for the computation of biomechanics in many fields. In multiple applications, having reference data that include a variety of gait conditions could be useful for assessing walking performance. However, limited extensive reference data are available as many conditions cannot be easily tested experimentally. For this reason, a musculoskeletal model in OpenSim coupled with gait data (at seven different velocities) was used to simulate seven carried loads and all the combinations between the two parameters. The effects on lower limb biomechanics were measured with torque, power, and mechanical work. The results demonstrated that biomechanics was influenced by both speed and load. Our results expand the previous literature: in the majority of previous work, only a subset of the presented conditions was investigated. Moreover, our simulation approach provides comprehensive data that could be useful for applications in many areas, such as rehabilitation, orthopedics, medical care, and sports.

How does guided group reflection work to support professional identity formation in postgraduate medical education: A scoping review

Purpose In postgraduate medical education, guided group reflection is often applied to support professional identity formation. However, little is known about how guided group reflection is shaped and how it works. Our scoping review synthesizes existing evidence about various approaches for guided group reflection, their aims, components and potential working mechanisms. Methods We conducted a scoping review using JBI (Joanna Briggs Institute) guidelines for conducting scoping reviews. We searched PubMed, PsycINFO, EMBASE and ERIC databases for all research articles published in English or Dutch in an iterative team approach. The articles were extracted and summarized quantitatively and qualitatively. Results We included 71 papers (45 primary research papers and 26 non-empirical papers including program descriptions, theoretical concepts and personal experiences). We identified a diversity of approaches for guided group reflection (e.g. Balint groups, supervised collaborative reflection and exchange of experiences), applied in a variety of didactic formats and aims. We distilled potential working mechanisms relating to engagement in reflection, group learning and the supervisor’s role. Conclusions There are significant knowledge gaps about the aims and underlying mechanisms of guided group reflection. Future systematic research on these topics is needed to understand the effectiveness of educational methods, that can help facilitate learning conditions to best shape professional identity formation (PIF) in educational curricula.