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Seclusion is the supervised containment of a patient, away from others, when immediately necessary to manage safety on a psychiatric inpatient ward. When seclusion is necessary, it should be used for the shortest time possible, with a regular multidisciplinary review of the patient’s mental and physical health, medication and risk guiding decisions around continuation or ending of this restrictive measure. However, many medical and nursing staff can be anxious about taking part in such reviews. Simulation has been used in many areas of medicine to help people to develop competence and confidence, in a safe setting where their own needs can be paramount. This paper aims to describe the use of a blended learning approach, including simulation, to build confidence and competence amongst healthcare professionals in the safe review of seclusion.

A multidisciplinary group, including input from individuals with lived experience of use of seclusion, put together a one-day training course, which included group debate exploring the relationship between seclusion and the Human Rights Act, guided discussion of videos exploring some aspects of practice and a half-day of simulation where multidisciplinary teams could act as the team reviewing a patient who had been secluded.

This paper found that the course’s blended learning approach helped participants to feel more confident in their understanding of several aspects of seclusion, including what their team discussions should include before and after seeing a patient and in knowing when to end a period of seclusion.

While simulation is slowly becoming a more familiar component of the undergraduate and postgraduate education offer in psychiatry, the authors are unaware of any evaluation of a dedicated simulation-based training course around reviews of seclusion.

In order to promote the development of modern manufacturing towards high-precision, high-quality intelligence and precision, this paper puts forward the concept of physical manufacturing and conducts a more in-depth theoretical discussion on its basic connotation and characteristics, based on which the application of physical manufacturing in cutting and autoclave curing molding of composite material is briefly introduced.

As a brand-new manufacturing concept, physical manufacturing determines the optimal process parameters according to multidisciplinary simulations, which emphasizes the physical characteristics about long life and high reliability of the processed products, and makes intelligent adjustment of process parameters according to the changes in the environment and equipment status during manufacturing.

The concept of physical manufacturing has pioneering significance for the basic research and development of advanced manufacturing technology, which helps to further improve production efficiency, reduce production costs and improve product quality.

The concept of physical manufacturing was first proposed, which emphasizes the analysis, reasoning, perception, and deduction during the manufacturing process, to achieve high-quality processing of products.

This paper seeks to explain how negotiation simulation exercises can be used to develop management insights and theory in the areas of business continuity and international security.

An extended multi‐cultural communication model for disaster and emergency management simulation exercises and a nine‐stage international security negotiation simulation exercise are outlined.

The critical friendship group approach and the case study research approach can be used to provide insights into business continuity planning. Complex simulation exercises, underpinned by scenario planning, are useful with respect to providing training and educational support vis‐à‐vis crisis/disaster/emergency planning. A more focused approach to teaching the subject of negotiation, which takes into account the business‐international relations dimension and security in particular, will enable business and management students to link more firmly real world events with company‐government relations. This will contribute to the development of management theory and ensure that business continuity managers, employed by private sector and public sector organisations, utilise more fully simulation exercises than is the case at present.

Research needs to be undertaken into how academics and practitioners can work together in order to develop management simulation models that are methodologically different from those that exist at present, and which facilitate the theory building process.

By working closely with simulation designers, academics will be able to produce interdisciplinary/multidisciplinary crisis/disaster/emergency simulation exercises.

A nine‐stage negotiation simulation exercise is outlined which will allow management/business studies students to place business continuity planning within an international security context.

This paper aims to present the model and method involving multi-body system dynamic analysis, finite element quasi-statics contact analysis and numerical calculation of elastohydrodynamic lubrication (EHL), according to the cam wear prediction using Archard’s model. Cam–follower kinematic pairs always work under wear because of concentrated contacts. Given that a cam and follower contact often operates in the mixed or boundary lubrication regime, simulation of cam wear is a multidisciplinary problem including kinematic considerations, dynamic load and stress calculations and elastohydrodynamic film thickness evaluations.

Multi-body system dynamic analysis, finite element quasi-statics contact analysis and numerical calculation of EHL are applied to obtain the dynamic loads, the time histories of contact pressure and the oil film thicknesses in cam–follower conjunctions to predict cam wear quantitatively.

The wear depth of the cam in the valve train of a heavy-load diesel engine is calculated, which is in good agreement with the measured value in the practical test. The results show that the cam–tappet pair operates under a mixed lubrication or boundary lubrication, and the wear depths on both sides of the cam nose are extremely great. The wear of these points can be decreased significantly by modifying the local cam profile to enlarge the radii of curvature.

The main value of this work lies in the model and method involving multi-body system dynamic analysis, finite element quasi-statics contact analysis and numerical calculation of EHL, which can give good prediction for the wear of cam.

As an advanced calculation methodology, reliability-based multidisciplinary design optimization (RBMDO) has been widely acknowledged for the design problems of modern complex engineering systems, not only because of the accurate evaluation of the impact of uncertain factors but also the relatively good balance between economy and safety of performance. However, with the increasing complexity of engineering technology, the proposed RBMDO method gradually cannot effectively solve the higher nonlinear coupled multidisciplinary uncertainty design optimization problems, which limits the engineering application of RBMDO. Many valuable works have been done in the RBMDO field in recent decades to tackle the above challenges. This study is to review these studies systematically, highlight the research opportunities and challenges, and attempt to guide future research efforts.

This study presents a comprehensive review of the RBMDO theory, mainly including the reliability analysis methods of different uncertainties and the decoupling strategies of RBMDO.

First, the multidisciplinary design optimization (MDO) preliminaries are given. The basic MDO concepts and the corresponding mathematical formulas are illustrated. Then, the procedures of three RBMDO methods with different reliability analysis strategies are introduced in detail. These RBMDO methods were proposed for the design optimization problems under different uncertainty types. Furtherly, an optimization problem for a certain operating condition of a turbine runner blade is introduced to illustrate the engineering application of the above method. Finally, three aspects of future challenges for RBMDO, namely, time-varying uncertainty analysis; high-precision surrogate models, and verification, validation and accreditation (VVA) for the model, are discussed followed by the conclusion.

The scope of this study is to introduce the RBMDO theory systematically. Three commonly used RBMDO-SORA methods are reviewed comprehensively, including the methods' general procedures and mathematical models.

The capability to predict and evaluate various configurations’ performance during the conceptual design phase using multidisciplinary design analysis and optimization can significantly increase the preliminary design process’s efficiency and reduce design and development costs. This research paper aims to perform multidisciplinary design and optimization for an expendable microsatellite launch vehicle (MSLV) comprising three solid-propellant stages, capable of delivering micro-payloads in the low earth orbit. The methodology’s primary purpose is to increase the conceptual and preliminary design process’s efficiency by reducing both the design and development costs.

Multidiscipline feasible architecture is applied for the multidisciplinary design and optimization of an expendable MSLV at the conceptual level to accommodate interdisciplinary interactions during the optimization process. The multidisciplinary design and optimization framework developed and implemented in this research effort encompasses coupled analysis disciplines of vehicle geometry, mass calculations, aerodynamics, propulsion and trajectory. Nineteen design variables were selected to optimize expendable MSLV to launch a 100 kg satellite at an altitude of 600 km in the low earth orbit. Modern heuristic optimization methods such as genetic algorithm (GA), particle swarm optimization (PSO) and SA are applied and compared to obtain the optimal configurations. The initial population is created by passing the upper and lower bounds of design variables to the optimizer. The optimizer then searches for the best possible combination of design variables to obtain the objective function while satisfying the constraints.

All of the applied heuristic methods were able to optimize the design problem. Optimized design variables from these methods lie within the lower and upper bounds. This research successfully achieves the desired altitude and final injection velocity while satisfying all the constraints. In this research effort, multiple runs of heuristic algorithms reduce the fundamental stochastic error.

The use of multiple heuristics optimization methods such as GA, PSO and SA in the conceptual design phase owing to the exclusivity of their search approach provides a unique opportunity for exploration of the feasible design space and helps in obtaining alternative configurations capable of meeting the mission objectives, which is not possible when using any of the single optimization algorithm.

The optimized configurations can be further used as baseline configurations in the microsatellite launch missions’ conceptual and preliminary design phases.

Satellite launch vehicle design and optimization is a complex multidisciplinary problem, and it is dealt with effectively in the multidisciplinary design and optimization domain. It integrates several interlinked disciplines and gives the optimum result that satisfies these disciplines’ requirements. This research effort provides the multidisciplinary design and optimization-based simulation framework to predict and evaluate various expendable satellite launch vehicle configurations’ performance. This framework significantly increases the conceptual and preliminary design process’s efficiency by reducing design and development costs.

The purpose of this study was to explore the clinical readiness of simulation-based education (SBE) in preparing nursing and midwifery students for clinical practice in sub-Saharan Africa. This study has synthesised the findings from existing research studies and provides an overview of the current state of SBE in nursing and midwifery programs in the region.

A qualitative meta-synthesis of previous studies was conducted using the following steps: developing a review question, developing and a search strategy, extracting and meta-synthesis of the themes from the literature and meta-synthesis of themes. Five databases were searched for from existing English literature (PubMed, Cumulative Index for Nursing and Allied Health Professional Literature [CINAHL], PsycINFO, EMBASE and ScienceDirect Medline, CINAHL and Science Direct), including grey literature on the subject. Eight qualitative studies conducted in sub-Saharan Africa between 2014 and 2022 were included. Hawker et al.'s framework was used to assess quality.

The following themes emerged from the literature. Theme 1: Improved skills and competencies through realism and repetition. Theme 2: Improved skills and competencies through realism and repetition. Theme 3: Improved learning through debriefing and reflection. Theme 4: Constraints of simulation as a pedagogical teaching strategy.

The qualitative meta-synthesis intended to cover articles from 2012 to 2022. Between 2012 and 2013, the authors could not identify purely qualitative studies from sub-Saharan Africa. The studies identified were either mixed methods or purely quantitative. This constitutes a study limitation.

Findings emphasise educator training in SBE. Comprehensive multidisciplinary training, complemented by expertise and planned debriefing sessions, serves as a catalyst for fostering reflective learning. Well-equipped simulation infrastructure is essential in preparing students for their professional competencies for optimal patient outcomes. Additional research is imperative to improve the implementation of SBE in sub-Saharan Africa.

The originality and value of SBE in nursing and midwifery programs in sub-Saharan Africa lie in its contextual relevance, adaptation to resource constraints, innovative teaching methodologies, provision of a safe learning environment, promotion of interprofessional collaboration and potential for research and evidence generation. These factors contribute to advancing nursing and midwifery education and improving healthcare outcomes in the region. This study fills this gap in the literature.

The purpose of the present study was to review the thermo-mechanical challenges of reflowed lead-free solder joints in surface mount components (SMCs). The topics of the review include challenges in modelling of the reflow soldering process, optimization and the future challenges in the reflow soldering process. Besides, the numerical approach of lead-free solder reliability is also discussed.

Lead-free reflow soldering is one of the most significant processes in the development of surface mount technology, especially toward the miniaturization of the advanced SMCs package. The challenges lead to more complex thermal responses when the PCB assembly passes through the reflow oven. The virtual modelling tools facilitate the modelling and simulation of the lead-free reflow process, which provide more data and clear visualization on the particular process.

With the growing trend of computer power and software capability, the multidisciplinary simulation, such as the temperature and thermal stress of lead-free SMCs, under the influenced of a specific process atmosphere can be provided. A simulation modelling technique for the thermal response and flow field prediction of a reflow process is cost-effective and has greatly helped the engineer to eliminate guesswork. Besides, simulated-based optimization methods of the reflow process have gained popularity because of them being economical and have reduced time-consumption, and these provide more information compared to the experimental hardware. The advantages and disadvantages of the simulation modelling in the reflow soldering process are also briefly discussed.

This literature review provides the engineers and researchers with a profound understanding of the thermo-mechanical challenges of reflowed lead-free solder joints in SMCs and the challenges of simulation modelling in the reflow process.

The unique challenges in solder joint reliability, and direction of future research in reflow process were identified to clarify the solutions to solve lead-free reliability issues in the electronics manufacturing industry.

This chapter examines group communication in medical teams through psychological safety and simulation training research. Research has shown that medical teams are challenged by established hierarchies, power/status differences, temporal stability, changing team memberships, and deeply held beliefs that emphasize individual responsibility. A review of 47 studies (29 psychological safety, 18 simulation) was conducted to understand key findings in relationship to group communication. Results indicate that team leadership promotes team psychological safety, voice, and relationship quality while status differences and hierarchy continue to affect psychological safety within medical teams. Simulation training facilitated interprofessional relationships, attitudes toward teamwork, self-efficacy, and group communication. The findings of this review suggest that psychological safety may be developed through simulation training. The quality of patient care is improved when all members of medical teams have the ability and motivation to communicate effectively.

Building Information Modelling (BIM) education promises new and exciting opportunities for more integrated learning experiences, multidisciplinary collaboration and greater synthesis between the learning environment and real-world projects. This paper aims to report the findings of a systematic review of the BIM education literature aimed at understanding the current state of the art of BIM-enabled education.

The systematic review methodology adopted borrows from the approach developed and widely deployed in evidence-based practice within the medical research field.

A total of 330 relevant articles were identified and analysed. Reported instances of BIM-enabled education were identified and analysed. It was found that these can be categorised into two groups: BIM as a learning tool and BIM as a learning environment.

This review was limited to the academic literature published in English from 2007 until January 2018.

BIM as a learning environment represents a new paradigm for AEC education, which emphasises integration, multidisciplinary collaboration, simulation, real life scenarios and application of learning concepts.

The concept of BIM as a learning environment requires further elaboration, after which it can be used to enhance AEC education.