Service-oriented Architecture Research Articles

Towards Logistics 4.0: A Skill-Based OPC UA Communication between WMS and the PLC of an Automated Storage and Retrieval System

In order to bring intralogistics systems to the same level of interoperability as today’s modern production systems, logistics must take the essential steps towards Industry 4.0. This requires an increasing abstraction level of control logic as an enabler for horizontal and vertical integration. The abstraction will lead to the interconnection ofmanufacturing and logistics control with the production planning and warehouse management systems (WMS). A main enabler for these communication paths are service-oriented architectures (SoA). OPC UA has established itself as a widely used and already adopted SoA-based communication standard in industry. The paper describes the realization of an OPC UAbased approach for the communication between a WMS and a PLC of an automated storage and retrieval system (ASRS). The conceptual basis of communication design are skills of the ASRS. The work is supported by an architectural design with a subsequent prototypical implementation.

Human stories about self-neglect: told, untold, untellable and unheard narratives in safeguarding adult reviews

PurposeThe purpose of this paper is to update the core data set of self-neglect safeguarding adult reviews (SARs) and accompanying thematic analysis. The initial data set was published in this journal in 2015 and has since been updated annually. The complete data set is available from the author. The second purpose is to reflect on the narratives about adult safeguarding and self-neglect by focusing on the stories that are told and untold in the reviews.Design/methodology/approachFurther published reviews are added to the core data set, drawn from the national SAR library and the websites of Safeguarding Adults Boards (SABs). Thematic analysis is updated using the domains used previously, direct work, the team around the person, organisational support and governance. SAR findings and recommendations are also critiqued using three further domains: knowledge production, explanation and aesthetics.FindingsFamiliar findings emerge from the thematic analysis and reinforce the evidence-base of good practice with individuals who self-neglect and for policies and procedures with which to support those practitioners working with such cases. SAR findings emphasise the knowledge domain, namely, what is actually found, rather than the explanatory domain that seeks to answer the question “why?” Findings and recommendations appear to assume that learning can be implemented within the existing architecture of services rather than challenging taken-for-granted assumptions about the context within which adult safeguarding is situated.Research limitations/implicationsA national database of reviews completed by SABs has been established (www.nationalnetwork.org.uk), but this data set remains incomplete. Drawing together the findings from the reviews nonetheless reinforces what is known about the components of effective practice, and effective policy and organisational arrangements for practice. Although individual reviews might comment on good practice alongside shortfalls, there is little analysis that seeks to explain rather than just report findings.Practical implicationsAnswering the question “why?” remains a significant challenge for SARs, where concerns about how agencies worked together prompted review but also where positive outcomes have been achieved. The findings confirm the relevance of the evidence-base for effective practice, but SARs are limited in their analysis of what enables and what obstructs the components of best practice. The challenge for SAR authors and for partners within SABs is to reflect on the stories that are told and those that remain untold or untellable. This is an exercise of power and of ethical and political decision-making.Originality/valueThe paper extends the thematic analysis of available reviews that focus on work with adults who self-neglect, further reinforcing the evidence base for practice. The paper analyses the degree to which SARs answer the question “why?” as opposed simply to answering the question “what?” It also explores the degree to which SARs appear to accept or challenge the context for adult safeguarding. The paper suggests that SABs and SAR authors should focus explicitly on what enables and what obstructs the realisation of best practice, and on the choices they make about the stories that are told.

Securing Group Patient Communication in 6G-Aided Dynamic Ubiquitous Healthcare with Real-Time Mobile DNA Sequencing.

(1) Background: With an advanced technique, third-generation sequencing (TGS) provides services with long deoxyribonucleic acid (DNA) reads and super short sequencing time. It enables onsite mobile DNA sequencing solutions for enabling ubiquitous healthcare (U-healthcare) services with modern mobile technology and smart entities in the internet of living things (IoLT). Due to some strict requirements, 6G technology can efficiently facilitate communications in a truly intelligent U-healthcare IoLT system. (2) Research problems: conventional single user-server architecture is not able to enable group conversations where "multiple patients-server" communication or "patient-patient" communication in the group is required. The communications are carried out via the open Internet, which is not a trusted channel. Since heath data and medical information are very sensitive, security and privacy concerns in the communication systems have become extremely important. (3) Purpose: the author aims to propose a dynamic group-based patient-authenticated key distribution protocol for 6G-aided U-healthcare services enabled by mobile DNA sequencing. In the protocol, an authenticated common session key is distributed by the server to the patients. Using the key, patients in a healthcare group are allowed to securely connect with the service provider or with each other for specific purposes of communication. (4) Results: the group key distribution process is protected by a secure three-factor authentication mechanism along with an efficient sequencing-device-based single sign-on (SD-SSO) solution. Based on traceable information stored in the server database, the proposed approach can provide patient-centered services which are available on multiple mobile devices. Security robustness of the proposed protocol is proven by well-known verification tools and a detailed semantic discussion. Performance evaluation shows that the protocol provides more functionality and incurs a reasonable overhead in comparison with the existing works.

Implementasi Model Service-Oriented Architecture (SOA) dalam Perancangan Sistem Informasi UMKM

This research focuses on developing a Small and Medium Enterprises (SMEs) Information System architecture using the Service-Oriented Architecture (SOA) and microservices approach. This study successfully integrated SME system services and functionalities encompassing accounting management, financial management, product analysis, stock management, invoicing, and taxation services within an SOA structure. Adopting the principles of microservices, each service was able to isolate information and ensure consistency within its scope. Using CI/CD, service mesh, and the Kubernetes platform facilitated efficient and secure code delivery and effective inter-service communication management. This research demonstrates the importance of service-oriented architecture and microservices in building a modular, flexible, and customizable SME information system that can reuse resources and reduce dependency on back-end applications. As a result, the system produced can be easily adapted and enhanced to meet changing policy and business needs.

IOT based Fire Detection System with Automatic and Manual Extinguishing System

A Novel fire extinguishing monitoring and control system is proposed in this paper. The system combines online monitoring of fire extinguishing information based on internet of things (IOT), early fire warning and alarm system with building safety evaluation, which are designed to acquiring the real-time information of fire extinguishing working condition, improving the reliable prediction mechanism in traditional fire monitoring system. A perception terminal based on IOT is developed and the fire real-time monitoring and control system is designed in this paper. The novel system can acquire the real-time working condition information of fire extinguishing facilities, such as pipe flow, pressure, temperature and humidity of the environment, current and voltage of the electric equipment, valve switch, relay action, alarming message, it can upload the collected data to the monitoring center through the (Client /Server) architecture. Based on these data, an electrical early fire warning model based on neural network is proposed. A fire safety evaluation model based on ontology with the usage of protege is established, which facilitate the on-line monitoring and control of building fire protection information, the prediction of electrical fire and improve building safety level evaluation.

V-care: An application to support lifestyle improvement in children with obesity

BackgroundObesity is increasing in the pediatric population, and it represents an important risk factor for the life-long development of several diseases. Although health promotion represents the mainstay of obesity prevention and treatment, lifestyle modification programs are often unsuccessful. ObjectivesThe purpose of this article is to introduce the V-care app, a mobile health platform specifically developed to offer effective interaction and support young people in a long-term obesity treatment, combining different strategies to maximize the results of the lifestyle modification program and minimize the possibility of dropouts. MethodsThe V-care app is based on a conventional client–server architecture, but novelties of our approach are the involvement of families in the lifestyle modification program, and the design inspired to psychological/behavioral change theories, with the aim of raising the chance of patients’ compliance to the program. V-care implements a goal-based behavioral intervention, providing specific feedbacks according to the patient's performance. A pilot usability and acceptability study was performed on a sample of thirteen children aged 6–12 years, using a questionnaire with a 5-points Likert scale to evaluate eight system features, identified as essential requirements based on the analysis of strengths and weaknesses of similar systems in literature. ResultsThe pilot study highlighted very high rate of overall friendliness and perceived utility evaluation, while some critical issues emerged especially for the chatbot section, which may be due to the novelty of the technology. The positive evaluation of the design choices is confirmed by the average score greater than 3 for all the questions. ConclusionsThe V-care app represents a digital innovation in the pediatric healthcare, and it could be introduced in children's primary healthcare nationwide, with the aim to offer an intervention program for controlling and preventing childhood obesity.

System Architecture and Communication Infrastructure for the RoboVaaS Project

Current advancements in waterborne autonomous systems, together with the development of cloud-based service-oriented architectures and the recent availability of low-cost underwater acoustic modems and long-range above-water wireless devices, enable the development of new applications to support ships and port activities. Autonomous surface vehicles can, for instance, be used to perform bathymetry and environmental data collection tasks to ensure under keel clearance and to monitor the quality of the water. Similarly, remotely operated vehicles can be deployed to inspect ship hulls and typical port infrastructure elements, such as quay and sheet pilling walls. In this article, we present the complete system deployed for the small-scale demonstrations of the Robotic Vessels as-a-Service project, which introduces an on-demand service-based cloud system that dispatches unmanned vehicles capable of performing the required service either autonomously or piloted. These vessels are able to interact with sensors deployed in the port and with the shore station through an integrated underwater and above-water network. The developed system has been validated through sea trials and showcased through an underwater sensor data collection use case. The results of the test presented in this article provide a proof of concept of the system design and indicate its technical feasibility. It also shows the need for further developments for a mature technology allowing on-demand robotic maritime assistance services in real operational scenarios.

Swarm Learning-Based Dynamic Optimal Management for Traffic Congestion in 6G-Driven Intelligent Transportation System

As city boundaries expand and the vehicles continues to proliferate, the transportation system is increasingly overloaded, greatly increasing people’s commuting burden and extending the resulting negative effects to all areas of work and life. It is a big issue that needs to be solved urgently. However, due to the development of infrastructure and technologies in 6G-driven Intelligent Transportation Systems (ITS), it becomes possible to alleviate urban congestion. Existing solutions either optimize the path planning of each vehicle, or only focus on solving the problem of resource allocation of a single road, neither can take advantage of self-organizing networks and easily fall into local optimum. Combining the above reasons, we propose the Direction Decide as a Service (DDaaS) scheme. First, it contains a novel three-layer service architecture based on Swarm Learning (SL), which enables orderly transmission of traffic data and control instructions and protects user privacy. Second, an improved local model and aggregation method is incorporated into DDaaS, which enables to make accurate predictions when the road resources at a single intersection are insufficient. Third, we propose a dynamic traffic control algorithm to provide signal light switching decisions for rapidly changing ITS. Finally, constructing an urban road simulation experiment combined with SUMO, we prove that DDaaS can reduce traffic congestion effectively and has significant advantages compared to other schemes.

QueryBooster: Improving SQL Performance Using Middleware Services for Human-Centered Query Rewriting

SQL query performance is critical in database applications, and query rewriting is a technique that transforms an original query into an equivalent query with a better performance. In a wide range of database-supported systems, there is a unique problem where both the application and database layer are black boxes, and the developers need to use their knowledge about the data and domain to rewrite queries sent from the application to the database for better performance. Unfortunately, existing solutions do not give the users enough freedom to express their rewriting needs. To address this problem, we propose QueryBooster, a novel middleware-based service architecture for human-centered query rewriting, where users can use its expressive and easy-to-use rule language (called VarSQL) to formulate rewriting rules based on their needs. It also allows users to express rewriting intentions by providing examples of the original query and its rewritten query. QueryBooster automatically generalizes them to rewriting rules and suggests high-quality ones. We conduct a user study to show the benefits of VarSQL to formulate rewriting rules. Our experiments on real and synthetic workloads show the effectiveness of the rule-suggesting framework and the significant advantages of using QueryBooster for human-centered query rewriting to improve the end-to-end query performance.

Finding a conceptual approach to developing an architecture of general-purpose services for economic researches

The object of research is the architecture of general-purpose services for economic researches. The excessive popularity of service-oriented architecture implementations has led to consideration of the application of this approach in the production of organizations engaged in processing statistical and economic information for analytical research. This is due to the possibility of reusing services, each of which is designed to perform specific statistical functions, and the availability of design solutions for compiling these functions into a program for implementing a statistical task solution, using orchestration as a basis for dynamic service calls. The paper proposes an approach to the development of external statistical services as a set of software products for solving analytical tasks by groups of independent researchers. Since such researchers do not have sufficient financial support, the use of external statistical services will allow them to conduct an in-depth analysis of their research results. The proposed approach assumes that such a service should have its typical data storage structure with fixed types and attributes, to which the researcher imports their own data, selects a calculation execution scheme, initializes their execution, and receives results. Taking into account this storage scheme, the authors have identified the main groups of metadata necessary to describe the implementation of the statistical process. A statistical business process typically consists of a set of procedures that implement certain statistical operations and data transformations, and the provided set of metadata allows for the realization of the process goal and activity. Issues that require further in-depth research for the practical implementation of the proposed idea have been identified. The use of service-oriented architecture for building statistical processes allows for standardizing the approach by unifying the functions of individual services. The availability of possibilities for practical implementation of software products in a service-oriented architecture using a cloud environment in modern IT industry serves as a guide for further research direction.

Key Development Trends Competition in the Product Segments of the Brokerage Services Market of the Russian Federation

The development of competition between professional participants in the securities market engaged in brokerage activities is inseparably linked with the growth of the competitiveness of brokerage organizations in the framework of improving the quality of the services and products they provide. In this regard, improving the competitiveness of brokerage organizations is an indispensable condition for developing competition in the brokerage market, and hence increasing the investment attractiveness of the securities market of the Russian Federation. The article examines the activities of brokerage organizations in the Russian securities market and determines the dynamics of key indicators characterizing brokerage activities (the number and structure of active clients and the volume and structure of client transactions). A comparative analysis of the activities of leading brokers by product segment, tariff plans and combined types of activities was carried out, as a result of which key trends in the development of brokerage activities were identified. Based on the identified trends, an assessment of the competitive advantages of leading brokers was carried out and companies-leaders and companies included in the competitive environment of leaders that need to increase their competitiveness were identified.

STUDY OF METHODS OF CREATING SERVICE-ORIENTED SOFTWARE SYSTEMS IN AZURE

The modern development of service-oriented software systems is accompanied by the wide use of cloud technologies, which affect the competitiveness of companies and their systems, which provide opportunities to expand the client base thanks to the coverage of several regions of the city or country.
 The advantage of cloud services is availability in any part of the world where there is an Internet connection. Cloud providers provide a large volume of services for various needs: such as hosting, deployment of containers, file storage, databases, etc.
 In particular, all the most popular cloud providers offer several options for creating service-oriented software systems, including both standard technologies and proprietary developments. This paper compares the methods of creating service-oriented software systems based on the Azure cloud platform: Azure Container Apps, Azure Kubernete Service, and Azure Red Hat OpenShift. The subject area of technologies for the implementation of service-oriented application architecture is considered, and criteria for the analysis of methods for implementing applications with such an architecture are proposed. A software solution for comparing methods of creating service-oriented applications based on the Azure cloud platform was designed and developed. The developed software system provides an opportunity to rent scooters, bicycles and cars. 
 The purpose of the study is a comparative analysis of the methods of creating service-oriented software systems based on Azure services, and the subject of the study is a software solution implemented using these methods.
 The purpose of this work will be the development of a software system that will provide an opportunity to rent scooters, bicycles and cars. Using this system, we will investigate the deployment of this system on certain services from Azure.
 The results of this research on Azure services: Azure Container Apps, Azure Kubernete Service and Azure Red Hat OpenShift can be used when creating a new software system, when expanding an existing software system, when transferring software system components from other platforms to the Azure platform using these services.

A Basic Description Logic for Service-Oriented Architecture in Factory Planning and Operational Control in the Age of Industry 4.0

Manufacturing companies across multiple industries face an increasingly dynamic and unpredictable environment. This development can be seen on both the market and supply side. To respond to these challenges, manufacturing companies must implement smart manufacturing systems and become more flexible and agile. The flexibility in operational planning regarding the scheduling and sequencing of customer orders needs to be increased and new structures must be implemented in manufacturing systems’ fundamental design as they constitute much of the operational flexibility available. To this end, smart and more flexible solutions for production planning and control (PPC) are developed. However, scheduling or sequencing is often only considered isolated in a predefined stable environment. Moreover, their orientation on the fundamental logic of the existing IT solutions and their applicability in a dynamic environment is limited. This paper presents a conceptual model for a task-based description logic that can be applied to factory planning, technology planning, and operational control. By using service-oriented architectures, the goal is to generate smart manufacturing systems. The logic is designed to allow for easy and automated maintenance. It is compatible with the existing resource and process allocation logic across operational and strategic factory and production planning.

Designing a high-fidelity testbed for 5G-based Industrial IoT

With the rise of the Industrial IoT (Internet of Things) and Industry 4.0 paradigms, many control and sensor systems used for IACS (Industrial Automation and Control Systems) have become more complex, due to the increasing number of interconnected field devices, sensors and actuators often being geographically spread across large areas. Supporting these increasingly sophisticated networked scenarios calls for the involvement of telecommunications and utility providers to better support Machine-to-Machine (M2M) communications and infrastructure orchestration, for which 5G technology is considered a perfect match. Nowadays, such 5G networks empower solutions both for consumer and for industrial IoT scenarios, providing the capacity and the means to seamlessly connect a massive number of gadgets and sensors, with diverse data rate requirements, low latency, and low power consumption. Part of this flexibility is also due to the nature of the 5G Service Architecture (SA), which is based on a microservice concept, dividing its core through multiple functions, allowing it to horizontally scale in a flexible way. Furthermore, the 3GPP specifications encompass specific support for verticals by means of slicing and 5G LANs, paving the way for a paradigm shift in terms of the relationship between service, telecom, and operational infrastructure tenants. However, such benefits come at the cost of extra complexity and, consequently, an increased vulnerability surface. This calls for further research focused on improving 5G infrastructure management, service integration and security, which cannot be safely undertaken in production environments, thus motivating the development of suitable 5G testbeds. This research work, which was developed in the scope of the POWER and Smart5Grid P2020 projects, addresses the creation of a high-fidelity environment for 5G-related research, which encompasses a gNodeB and 5G core, together with emulated User Elements (terminal devices) and IoT nodes (in this specific case, Programmable Logic Controllers), constituting a 5G Industrial IoT scenario designed for development and validation of new solutions, security research, or even advanced training purposes. The entire infrastructure is supported via container orchestration technology, providing enhanced scalability and resilience characteristics.

Privacy preserving content distribution framework for multidistributor DRM systems

AbstractGrowing network technology and computing facilities present greater opportunities for the e‐commerce industry to sell digital content on an easily assessable platform. However, digital content creators need help due to digital content easily copying and redistributing without quality degradation. Digital rights management (DRM) systems are built up to deal with content piracy and effective distribution. However, traditional two‐party DRM systems are client–server architecture, which may create a bottleneck situation for large networks. At the same time, a multidistributor DRM (MD‐DRM) system can offer content distribution more effectively. However, as the number of distributors increases, chances of security and privacy vulnerability may increase. Thus, a MD‐DRM system requires with an effective mechanism of privacy‐preserving and secure content distribution. We proposed a privacy‐preserving and authorized content distribution framework that remains compatible with multiple distributors and single‐distributor architecture to achieve basic security attributes. Besides, the proposed scheme does not breach the key parameters of accountability. This mechanism makes traitor identification possible without violating the privacy rights of authorized consumers in multidistributor architecture.

QoS‐aware web service recommendation via exploring the users' personalized diversity preferences

AbstractWith the popularity and wide adoption of SOA (service‐oriented architecture), a massive amount of Web services emerge on the Internet. It is difficult for users to find the desired services from a large number of services. Thus, service recommendation becomes an effective means to improve the efficiency of using service. Considering that the users' QoS (quality of service) preferences are often unknown or uncertain, the recent QoS‐aware service recommendation methods recommend QoS‐diversified services for users to increase the probability of fulfillment of the service list with a limited number of services on users' potential QoS preferences. However, the existing QoS‐diversified service recommendation methods recommend services with a uniform diversity degree for different users, while the diversified preference requirements are not considered. To this end, this article proposes a service diversity adjustment algorithm, which selects more diversified services outside of the original service recommendation list to replace the services in the present recommendation list to approximate the QoS diversity preference of the active user. In this way, the probability of meeting the user's potential QoS preference requirements is improved. Comprehensive experimental results show that the proposed approach can not only provide personalized and diversified services but also ensure the overall accuracy of the recommendation results.

QoS-Centric Diversified Web Service Recommendation Based on Personalized Determinantal Point Process

With the popularity and widespread adoption of the SOA (Service-Oriented Architecture), the number of Web services has increased exponentially. Users tend to use online services for their daily business and software development needs. With the large number of Web service candidates, recommending desirable Web services that meet users’ personalized QoS (Quality of Service) requirements becomes a challenging research issue, as the QoS preference is usually difficult to satisfy for users, i.e., the QoS preference is uncertain. To solve this problem, some recent works have aimed to recommend QoS-diversified services to enhance the probability of fulfilling the user’s latent QoS preferences. However, the existing QoS-diversified service recommendation methods recommend services with a uniform diversity degree for different users, while the personalized diversity preference requirements are not considered. To this end, this paper proposes to mine a user’s diversity preference from the their service invocation history and provides a Web service recommendation algorithm, named PDPP (Personalized Determinantal Point Process), through which a personalized service recommendation list with preferred diversity is generated for the user. Comprehensive experimental results show that the proposed approach can provide personalized and diversified Web services while ensuring the overall accuracy of the recommendation results.

Services interfaces for interoperability of signaling computer interlocking on borders

<p>Technological developments in the field of railway signaling have allowed more and more flexibility in the management of rail traffic, especially with computer interlocking. However, differences in signaling principles from one country to another as well as differences in the structure of interlocking software and communication protocols depending on suppliers lead to interoperability difficulties at the borders between computer interlocking. Some deployed projects deal with interoperability issues regarding the communication of signaling information between the train and interlocking like the European rail traffic management system (ERTMS) project. Unfortunately, the interoperability between interlocking themselves is still not achieved. Some deployed projects deal with interoperability issues regarding the communication of signaling information between the train and interlocking like the ERTMS project. Unfortunately, the interoperability between interlocking themselves is still not achieved. This article draws up a proposed model for interfacing at the interlocking boundaries based on service-oriented architecture (SOA). In addition, to ensure the coupling of SOA services to the internal functions of the signaling computer interlocking, a distributed architecture of programmable logic controller according to the IEC 61499 standard is suggested.</p>

Ключові аспекти застосування інструментарію оцінювання якості митних послуг на засадах маркетингу

The key aspects of the provision and assessment of the quality of customs services by logistics operators are highlighted, in particular, the opportunities for improving such services are revealed. The relevance of the transition to the market principles of functioning and adaptation of customs services in accordance with the changing needs of consumers is substantiated. The methodology for assessing the quality of customs services based on a consumer approach was developed and improving the quality management system of the company's customs brokerage service on the basis of relationship marketing was proposed. It is well-founded that the system of managing the quality of customs services is a rather complex system, therefore, when implementing its quality management mechanism, it is important to take into account the influence of various subsystems and accompanying business processes that constantly interact with each other. The assessment of the quality of customs service is carried out by participants in foreign economic activity with the aim of improving the quality of the provision of customs services and meeting the need to reduce the costs they incur during foreign economic operations and passing all customs formalities. It is advisable to assess the quality of the customs service in accordance with the system of quality indicators. The degree of compliance with the quality of customs services should be largely determined by the presence of a system for monitoring the provision of these services and the marketing orientation of the enterprise. Therefore, the research and improvement of the toolkit for assessing the quality of customs services is an urgent problem in today's conditions in the context of analyzing the effectiveness of the activities of international business entities. A model for evaluating the quality of customs services of a logistics operator based on a consumer approach is proposed. Accordingly, on the basis of marketing monitoring data, it is advisable to develop recommendations for improving the process of providing customs services, functioning of the customs services quality management system, and improving the quality of services. The quality management system of customs brokerage services should be based on ensuring and controlling the quality of customs brokerage services. The improvement of customs service is directly related to the improvement of the quality of the provided customs services, taking into account the interests of customers. In this regard, the introduction of quality standards of customs activity that meet modern international requirements and the mechanism of responsibility of the management staff for ensuring them will be a significant help.

The changing landscape of healthcare communication in Italy: Perceptions and challenges in language brokering services

This study investigates the evolving landscape of healthcare communication in Italy, focusing on the use of language brokering services sensu latu, including interpreting, cultural and linguistic mediation and other solutions bridging the language gap. With the country experiencing a significant influx of tourists and immigrants in recent years, the need for efficient language services has become crucial to ensure equitable access to healthcare for all individuals. The study examines the perspectives of two key professional groups involved in linguistically mediated medical encounters: language brokers and healthcare professionals. Specially designed questionnaires were administered to each group, and the analysis is conducted within the framework of sociolinguistics, complemented by survey research. The findings highlight various challenges, particularly in the ethical dimension, while emphasizing the potential for collaboration and service quality improvement through mutual adjustments between these professional groups. The results of this study can inform the development of training programmes and regulations that enhance the ability of healthcare professionals and language brokers to address these challenges effectively.